smoothed readme and startup

shutdown fixes
WIP theming
2026-08-01 09:51:21 -05:00 · 2026-08-01 09:36:34 -05:00 · 2026-07-31 19:34:12 -05:00 · 2026-07-31 19:23:12 -05:00 · 2026-07-31 16:01:23 -05:00 · 2026-07-31 15:40:20 -05:00
133 changed files with 8508 additions and 6699 deletions
@@ -0,0 +1,13 @@
 .git
 .gitignore
 .vscode
 .venv
 .pytest_cache
 .ruff_cache
 __pycache__/
 *.py[cod]
 *.db
 .env
 tests/
 docs/
 uploads/
@@ -0,0 +1,77 @@
 ---
 description: Follow these guidelines when editing the services
 applyTo: 'src/transcription/services/*.py'
 ---
 # Services
 ## Structure
 - Project core data models defined in [models](../../src/transcription/models.py)
 - 1 service class per data model
 - Only services directly interact with the database, and only through async methods
 - Services are completely independent of one another. Any operation that needs to use more than a single service, which is most of them, needs to have a separate orchestration function.
 ## Error Handling
 - Service-specific errors defined at the top of the respective module and inherit from `AppError`
 - Use a context manager for large `try/except` blocks like in [transcription](../../src/transcription/services/transcription.py)
 ## Checklist
 - [ ] Uses `ServiceBase` for common logic
 - [ ] CRUD methods created at the top
 - [ ] Session kwarg for `AsyncSession` to pass in a session object to each method
 - [ ] Services use `self._session_scope` in their methods to pass the session thru.
    - Multiple operations on the same object(s) require sharing a session between all the methods used.
 ## CRUD Methods
 - Create, read, update, and delete, created in that order
 - Name format `<operation>_<model >`, for example `create_document` or `update_job`
 - All services must define these 4 methods first, and in that order
 ## Transaction Finalization
 When a service method accepts an optional `session` kwarg, write methods must use `self._finalize` to finalize the transaction properly according to whether or not they are sharing a session.
 - If `session` is `None`: the method owns the transaction and should `commit()`.
 - If `session` is provided: the method must **not** commit; it should `flush()` so IDs and FK values are available to the caller's transaction.
 - Use `refresh()` on returned ORM objects when the caller needs DB-populated values (defaults, triggers, merged state).
 Recommended helper behavior:
 - Inputs: active session object, original `session` arg (or a boolean ownership flag), and an optional list of objects to refresh.
 - Logic: `commit` when service-owned session, `flush` when caller-owned session, then refresh requested objects.
 This keeps orchestration functions atomic: they can pass one shared session across multiple services and commit exactly once at the workflow boundary.
 ## Workflow Transaction Boundaries
 For multi-step job lifecycles (for example queued transcription jobs), orchestration functions must use explicit transaction phases.
 Required boundary model:
 - **Transaction A (claim):** transition `JobStatus.QUEUED -> JobStatus.PROCESSING` and commit immediately.
 - Perform provider/network work **outside** database transactions.
 - **Transaction B (terminal success):** write transcript content and set `JobStatus.TRANSCRIBED` in the same shared-session commit.
 - **Transaction B (terminal failure):** write transcript error detail and set `JobStatus.FAILED` in the same shared-session commit.
 - **Transaction C (retry path):** write transcript error detail, increment retry count, and set `JobStatus.QUEUED` in one shared-session commit.
 Atomicity rules:
 - Never commit transcript updates separately from the paired terminal/retry job status change.
 - Terminal state (`TRANSCRIBED` or `FAILED`) and transcript row changes must succeed or roll back together.
 - Retry persistence (`QUEUED` + retry increment + error detail) must succeed or roll back together.
 Separation of concerns:
 - Worker modules should stay lightweight and delegate lifecycle transitions to service/workflow orchestration functions.
 - In `workflows.py`, `process_queued_job` should own one complete attempt lifecycle: `QUEUED -> PROCESSING -> TRANSCRIBED|FAILED`.
 - In `workflows.py`, `advance_job` should coordinate broader status progression around attempts (for example retry scheduling from `FAILED -> QUEUED`).
 - Services should expose session-aware write helpers (flush on caller-owned session) so orchestration controls commit boundaries.
 - Backoff/sleep behavior must run outside transactional scopes.
 # Service Composition
 Some operations, like uploading a picutre, require modifications to multiple tables, which can be done by composing methods from the service object into a separate function.
@@ -0,0 +1,53 @@
 ---
 description: "Use when modifying the NiceGUI application under src/transcription/ui. Defines ownership and dependency boundaries for UI registration, pages, components, services, persistence, state, and static assets."
 applyTo: 'src/transcription/ui/**/*.py'
 ---
 # UI Conceptual Boundaries
 Keep dependencies flowing in this direction:
 `ui/__init__.py` -> `pages` -> `components`
 Pages may depend on application services and framework-provided dependencies. Components may depend on smaller components and shared presentation helpers. Services and domain modules must never depend on the UI.
 ## Package Root
 - Keep `ui/__init__.py` as the UI composition root: register global assets, register pages, and mount NiceGUI on FastAPI.
 - Do not put feature rendering, service calls, persistence, or route-specific state in the package root.
 ## Pages
 - Pages own route registration and route-level orchestration.
 - Resolve request or application dependencies, call [services](../../src/transcription/services/), adapt returned data for presentation when needed, and coordinate refresh, navigation, and notifications here.
 - Do not query, mutate, commit, or roll back the database from a page. Do not import database engines, sessions, operations, or query-building APIs. Persistence belongs to services or workflow functions.
 - Framework dependency types may cross into page handlers only to construct or invoke services; do not pass sessions or session factories into components.
 - Keep business rules, lifecycle transitions, transaction boundaries, and cross-service workflows out of page callbacks.
 ## Components
 - Components own reusable rendering, widget-local state, input normalization, and presentation-only formatting.
 - Expose user actions through typed callback parameters. The calling page decides which service or workflow runs and what refresh or navigation follows.
 - Do not register routes, resolve request/app state, instantiate services, or access persistence from components.
 - Components may accept ORM models returned by services as read-only snapshots. Only use fields and relationships that the service loaded eagerly; never mutate models, trigger lazy loading, or expose session behavior.
 - A component may compose lower-level components, but it must not import from `pages`.
 ## Shared UI Infrastructure
 - Keep app-wide navigation and layout primitives in `components/app_shell.py`.
 - Keep generic table/event adaptation in `components/table/common.py`; feature-specific columns, row read models, and formatting belong in the feature table module.
 - Keep exception normalization and user-facing error display in `components/error_presenter.py`; preserve `AppError` details and operation identifiers at page/component boundaries.
 ## CSS Assets
 - Keep CSS under `ui/static` and split it into manageable, feature-oriented files. Do not grow a monolithic stylesheet or embed substantial style blocks in Python components.
 - Load each stylesheet from the page, component, or composition root that needs it with `ui.add_css(...)`. Use shared registration only for genuinely application-wide styles.
 - Read stylesheet text through `importlib.resources.files(...)` so loading works from installed packages and is independent of the working directory.
 - Centralize CSS reading in one typed helper cached by relative resource path with `functools.cache` or an equivalent unbounded `lru_cache`. Cache the immutable stylesheet text to avoid repeated resource I/O during component renders; keep NiceGUI registration decisions at the caller.
 - Do not encode application behavior in CSS or other static assets.
 ## State and Side Effects
 - Limit component state to ephemeral interaction state such as loading flags, form values, dialogs, and expansion state.
 - Application and worker state must be resolved at the page or application boundary and passed through narrow interfaces such as callbacks or notifier protocols.
 - Keep filesystem, network, provider, and worker orchestration behind application services or dedicated adapters. UI code may trigger those operations but must not implement them.
@@ -14,3 +14,6 @@ wheels/
 # SQLite database
 *.db
 # Document images
 uploads/*
@@ -0,0 +1,23 @@
 {
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Python: Debug transcription app",
            "type": "debugpy",
            "request": "launch",
            "module": "debugpy",
            "args": [
                "-m",
                "transcription",
                "--host", "127.0.0.1",
                "--port", "9999",
                "--database.driver", "sqlite"
            ],
            "justMyCode": true,
            "console": "integratedTerminal",
            "env": {
                "PYTHONPATH": "${workspaceFolder}/src"
            }
        }
    ]
 }
@@ -0,0 +1,47 @@
 FROM python:3.12-slim AS builder
 ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    UV_LINK_MODE=copy
 WORKDIR /app
 COPY --from=ghcr.io/astral-sh/uv:0.5.24 /uv /uvx /bin/
 COPY pyproject.toml uv.lock README.md ./
 RUN uv sync --frozen --no-dev --no-install-project
 COPY src ./src
 COPY prompts ./prompts
 RUN uv sync --frozen --no-dev
 FROM python:3.12-slim AS runtime
 ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PATH="/app/.venv/bin:$PATH" \
    PYTHONPATH="/app/src" \
    UPLOAD_DIR="/app/uploads" \
    PROMPT_DIR="/app/prompts"
 WORKDIR /app
 RUN groupadd --system --gid 1001 appgroup \
    && useradd --system --uid 1001 --gid appgroup --create-home appuser
 COPY --from=builder /app/.venv /app/.venv
 COPY --from=builder /app/src /app/src
 COPY --from=builder /app/prompts /app/prompts
 RUN mkdir -p /app/uploads /app/data \
    && chown -R appuser:appgroup /app
 USER appuser
 EXPOSE 8000
 HEALTHCHECK --interval=30s --timeout=3s --start-period=3s --retries=3 \
    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/healthz')"
 CMD ["uvicorn", "transcription.app:create_app", "--factory", "--host", "0.0.0.0", "--port", "8000", "--proxy-headers"]
@@ -22,30 +22,102 @@ uv sync
 ### 2) Configure environment
-Create a `.env` file in the project root (minimum required setting shown):
+Create a `.env` file in the project root with the required OpenRouter API key:
 ```env
 OPENROUTER_API_KEY=your_openrouter_api_key
 ```
-Optional settings (defaults shown):
+Settings are read from CLI arguments first, then environment variables, then `.env`, then the defaults below.
 ### Configuration Source Precedence
 When the same setting is provided in multiple places, the value is chosen in this order (highest priority first):
 1. CLI arguments (for example `--port 9999`)
 2. Settings constructor arguments (used mainly in tests)
 3. Environment variables
 4. `.env` file values
 5. Model defaults in code
 Practical examples:
 - `--port 9999` overrides both `PORT=8000` in the shell and `PORT=7000` in `.env`.
 - `DATABASE__PATH=prod.db` in the shell overrides `DATABASE__PATH=dev.db` in `.env`.
 #### Server and runtime
 | Environment variable | Default | Description |
 | --- | --- | --- |
 | `HOST` | `0.0.0.0` | Address on which the server listens. |
 | `PORT` | `8000` | Server port. |
 | `LOG_LEVEL` | `info` | Uvicorn and application log level. |
 | `RELOAD` | `false` | Restart the development server when source files change. |
 | `ENVIRONMENT` | `development` | Runtime environment: `development`, `test`, or `production`. |
 #### Provider
 | Environment variable | Default | Description |
 | --- | --- | --- |
 | `PROVIDER` | `openrouter` | Transcription provider. |
 | `OPENROUTER_API_KEY` | Required | OpenRouter API key. |
 | `PROVIDER_MODEL` | Provider default | Optional model override. |
 | `OPENROUTER_HTTP_REFERER` | Unset | Optional OpenRouter attribution URL. |
 | `OPENROUTER_APP_TITLE` | Unset | Optional OpenRouter attribution title. |
 #### Database and files
 Use nested env vars for database settings (recommended):
 ```env
-DATABASE_URL=sqlite:///./transcription.db
+DATABASE__DRIVER=sqlite
 DATABASE__PATH=app.db
 # BOOTSTRAP_SCHEMA_ON_STARTUP=true
 SQLITE_CHECK_SAME_THREAD=false
 UPLOAD_DIR=./uploads
 PROMPT_DIR=./prompts
 ```
 For PostgreSQL:
 ```env
 DATABASE__DRIVER=postgres
 DATABASE__HOST=localhost
 DATABASE__PORT=5432
 DATABASE__DATABASE=transcription
 DATABASE__USER=postgres
 DATABASE__PASSWORD=change-me
 ```
 This uses Pydantic nested settings (`env_nested_delimiter='__'`) and avoids JSON blobs in `.env`. A top-level `DATABASE={...}` JSON value is still supported as a fallback, and nested keys such as `DATABASE__PATH` take precedence over conflicting JSON keys.
 `BOOTSTRAP_SCHEMA_ON_STARTUP` creates missing tables when the app starts. When unset, it is enabled in `development` and `test`, and disabled in `production`; set it explicitly to override that policy. `SQLITE_CHECK_SAME_THREAD` defaults to `false`.
 #### Worker
 ```env
 WORKER_MAX_RETRIES=0
 WORKER_RETRY_BACKOFF_SECONDS=0
 WORKER_PROVIDER_TIMEOUT_SECONDS=20
 WORKER_MIN_TRANSCRIPTION_CHARS=0
 WORKER_MIN_TRANSCRIPTION_LINES=0
 WORKER_FAIL_ON_FINISH_REASON_LENGTH=false
 ```
 ### 3) Run the app
 ```bash
-uv run uvicorn transcription.app:create_app --factory --reload
+uv run python -m transcription --port 9999 --reload --database.driver sqlite --bootstrap-schema-on-startup
 ```
 This starts the development server with SQLite, creates missing tables, and enables automatic reload. Run `uv run python -m transcription --help` for all CLI options; CLI names use kebab case and nested database options use dot notation, such as `--database.path ./data/transcription.db`.
 ### 4) Open in browser
- GUI: [http://[IP_ADDRESS]:8000/ui](http://[IP_ADDRESS]:8000/ui)
+- GUI: [http://localhost:9999/ui](http://localhost:9999/ui)
- Health check: [http://[IP_ADDRESS]:8000/healthz](http://[IP_ADDRESS]:8000/healthz)
+- Health check: [http://localhost:9999/healthz](http://localhost:9999/healthz)
 Replace `localhost` with the server's hostname or IP address when connecting from another machine.
 ## How to navigate the GUI
@@ -0,0 +1,21 @@
 services:
  transcription:
    build:
      context: .
      dockerfile: Dockerfile
    container_name: transcription-app
    env_file:
      - .env
    environment:
      DATABASE_URL: sqlite:////app/data/transcription.db
      UPLOAD_DIR: /app/uploads
      PROMPT_DIR: /app/prompts
    ports:
      - "8002:8000"
    volumes:
      - ./uploads:/app/uploads
      - transcription_data:/app/data
    restart: unless-stopped
 volumes:
  transcription_data:
@@ -1,40 +1,24 @@
-# Historical Document Transcription
+# Historical Document Transcription Design Intent
 I have several thousand pages of family history told through letters, postcards, books, and other documents that I want to transcribe to text. 
 ---
 ## Goals
 1. Preserve our family history
 2. Unburden my family (and descendants) from having to store and care for the physical media. Once the documents have been transcribed and organized, they can be donated (or kept by a family member that wants to retain them).
 3. Make the text easily available and searchable by family members, as well as AI (which may have different requirements).
 4. Ability create timelines or assemble the historical record of the family or specific individuals from across the complete document archive. Perhaps use AI to create the timelines in a more narrative form.
 ---
 ## Source material
 1. **letters, cards, diaries** - handwritten; mostly stored in tubs, with little organization
 2. **books** - typed or typeset; mostly self-published books 50-100 pages in length. This may be expanded to include selected pages from other publications.
 3. **newspaper clippings, event programs, invitations, and other ephemera**
- ## Methodology
+---
 ### Verbatim vs. Clean Copy
 Transcriptions should be Verbatim and follow scholarly research guidelines, with no modifications to the original text.
-### Prompt Curation Policy
+## Methodology
 Transcription behavior should be implemented with prompt assets that are human-maintainable over time.
-1. Each transcription prompt is stored as an individual Markdown file.
+1. Follow current best practices per "A Guide to Documentary Editing" by Mary-Jo Kline. (See [Transcription Methodology](transcription_methodology.md))
 2. Prompt files are refined iteratively as document quality and edge cases are discovered.
 3. Prompt changes should be scoped to one prompt file at a time whenever possible to keep review history clear.
 ### Potential Document Issues
 | Document Issue | How to Handle It | Example |
 | :--- | :--- | :--- |
 | **Misspellings & Errors** | Retain original spelling and insert italicized `[sic]` directly after the error. | `The weather was very cold and publick [sic] business delayed.` |
 | **Missing Words / Slips** | Insert the missing word inside square brackets to restore basic readability. | `We went [to] the store to buy supplies.` |
 | **Uncertain / Guesswork** | Place your best hypothesis followed by a question mark inside square brackets. | `He went to [Boston?] yesterday to meet the governor.` |
 | **Completely Illegible** | Use a clear descriptive term like `[illegible]` or specify the reason (e.g., `[torn]`, `[ink blot]`). | `The total cost was [illegible] dollars.` or `The letter ends here [remainder of page torn].` |
 | **Crossed-out Text** | Wrap the removed word or phrase in a deleted tag to preserve the author's edits. | `We left at [deleted: noon] one o'clock instead.` |
 | **Squeezed-in Text** | Wrap text that was added above the line or in a tight space in an inserted tag. | `The [inserted: red] house on the hill was abandoned.` |
 | **Superscripts & Abbreviations** | Bring raised letters down to the main line, or optionally expand them in brackets. | `Change Gen^l to Genl` OR `Change to Gen[era]l depending on project preference.` |
 | **Images / Seals / Signs** | Describe the non-textual element using italicized text inside square brackets. | `[wax notary seal attached here]` or `[sketch of a fort layout]` |
 | **Marginalia / Notes** | Note the spatial transition clearly before transcribing the note itself. | `[written in left margin:] Do not share this with anyone.` |
 | **Line Breaks / Hyphens** | Rejoin words split across a page margin silently, dropping the line-break hyphen. | `Original: "estab- / lishment" becomes "establishment"` |
 | **Ambiguous Capitalization** | Default to modern capitalization rules unless an archaic uppercase letter is clearly intentional. | `If a standard noun like 'Farm' looks randomly capitalized, type 'farm'.` |
 **Hierarchical Outlines** | Preserve exact numbering characters (including lowercase Roman numerals or terminal 'j'). Replicate indentation levels using spaces/tabs. Do not correct math or sequence errors silently. | `I. Main Topic`<br>`&nbsp;&nbsp;a. Sub-point`<br>`&nbsp;&nbsp;b. Next point`<br>`III. [sic] Third Topic` |
@@ -1,35 +0,0 @@
 # ADR-0001: Lifespan-owned runtime resources
 - **Status:** accepted
 - **Date:** 2026-06-25
 ## Context
 MVP initialized core runtime resources (database engine and worker dependencies) through module-level globals and startup side effects. `REQ-7` requires lifespan-owned runtime resources with explicit ownership and cleanup.
 ## Decision
 Adopt lifespan-owned runtime resource initialization in `transcription.app`:
 1. Initialize database runtime during app lifespan startup.
 2. Store runtime handles on `app.state`.
 3. Pass runtime-owned dependencies (engine) to worker startup.
 4. Dispose runtime resources explicitly during lifespan shutdown.
 ## Consequences
 ### Positive
 - Explicit startup and shutdown ownership.
 - Predictable cleanup ordering.
 - Reduced hidden global side effects.
 ### Tradeoffs
 - Minor wiring complexity in app startup.
 - Some call-sites still support fallback lazy initialization for compatibility.
 ## Alternatives Considered
 1. **Keep module-level global ownership**
   - Rejected: conflicts with `REQ-7` and increases ambiguity.
 2. **Introduce full async DB stack immediately**
   - Rejected for Step 1: too broad for architecture-consolidation scope.
@@ -1,36 +0,0 @@
 # ADR-0002: Explicit schema bootstrap policy
 - **Status:** accepted
 - **Date:** 2026-06-25
 ## Context
 MVP called schema bootstrap (`create_all`) on every startup. `REQ-10` requires explicit, opt-in schema bootstrap behavior so normal production startup does not mutate schema.
 ## Decision
 Add environment-aware bootstrap policy:
 1. New settings:
   - `environment`: `development` | `test` | `production`
   - `bootstrap_schema_on_startup`: optional explicit override
 2. Default behavior:
   - Development/test: bootstrap enabled
   - Production: bootstrap disabled
 3. App startup calls `create_all` only when policy evaluates true.
 ## Consequences
 ### Positive
 - Production startup behavior is safer and policy-driven.
 - Local development remains simple by default.
 ### Tradeoffs
 - Deployments now require explicit schema management in production.
 ## Alternatives Considered
 1. **Always bootstrap in all environments**
   - Rejected: violates `REQ-10` intent.
 2. **Disable bootstrap everywhere immediately**
   - Rejected: hurts local developer workflow without migration tool replacement yet.
@@ -1,31 +0,0 @@
 # ADR-0003: Persistence baseline and transition path
 - **Status:** accepted
 - **Date:** 2026-06-25
 ## Context
 Architecture targets PostgreSQL baseline (optional MongoDB), while MVP currently runs on SQLite by default. V1 needs a clear transition path without destabilizing ongoing work.
 ## Decision
 1. Preserve database URL configurability through centralized settings.
 2. Keep SQLite functional for local dev/test and fast feedback.
 3. Treat PostgreSQL as production baseline target for V1 completion.
 4. Keep persistence access behind `transcription.db` runtime/session access points.
 ## Consequences
 ### Positive
 - Clear migration path without immediate broad rewrite.
 - Controlled risk while preserving velocity.
 ### Tradeoffs
 - Temporary dual-path assumptions (SQLite local vs PostgreSQL target).
 ## Alternatives Considered
 1. **Immediate forced PostgreSQL-only migration**
   - Rejected: higher short-term disruption risk.
 2. **Remain SQLite-only for V1**
   - Rejected: inconsistent with architecture and requirement trajectory.
@@ -1,32 +0,0 @@
 # ADR-0004: In-process worker topology for V1
 - **Status:** accepted
 - **Date:** 2026-06-25
 ## Context
 The current system uses an in-process background worker. Architecture docs allow this in foundation stage and permit later hardening (optional external worker/queue).
 ## Decision
 Retain in-process worker topology for V1, with improved lifecycle ownership:
 1. Worker starts/stops via app lifespan.
 2. Worker receives runtime-owned DB engine dependency explicitly.
 3. Extension path to external worker remains behind existing service/adapter seams.
 ## Consequences
 ### Positive
 - Keeps operational complexity low for personal-scale use.
 - Preserves delivery focus on V1 completion.
 ### Tradeoffs
 - Throughput/scaling limits remain compared to external queue-based topology.
 ## Alternatives Considered
 1. **Immediate queue/external worker introduction**
   - Rejected: premature complexity for current scale.
 2. **Ad hoc thread lifecycle management outside lifespan**
   - Rejected: weaker shutdown guarantees and poorer ownership clarity.
@@ -1,20 +0,0 @@
 # Architecture Decision Records (ADRs)
 This directory records significant architecture decisions for Version 1.
 ## ADR Format
 Each ADR should include:
 1. **Status** (`proposed`, `accepted`, `superseded`)
 2. **Context**
 3. **Decision**
 4. **Consequences**
 5. **Alternatives Considered**
 ## Index
 - [ADR-0001: Lifespan-owned runtime resources](ADR-0001-lifespan-owned-runtime-resources.md)
 - [ADR-0002: Explicit schema bootstrap policy](ADR-0002-explicit-schema-bootstrap-policy.md)
 - [ADR-0003: Persistence baseline and transition path](ADR-0003-persistence-baseline-and-transition-path.md)
 - [ADR-0004: In-process worker topology for V1](ADR-0004-in-process-worker-topology.md)
@@ -0,0 +1,136 @@
 # System Architecture (Version 2)
 This document describes the V2 production architecture of the personal historical-document transcription system.
 ## Architecture Objectives
 * Preserve source material as immutable transcribed text alongside page-level spatial AI metadata.
 * Support batching multi-image and folder uploads cleanly into sequential pages (`page_number`).
 * Leverage asynchronous worker pools (`asyncio`) for parallel single-image API execution bounded by rate limiters (`asyncio.Semaphore`).
 * Migrate persistence to PostgreSQL using native `UUID`, `TIMESTAMPTZ`, and `JSONB` document storage.
 * Standardize all data validation, API parsing, and database models on **Pydantic V2**.
 * Support rich historical attribution (multi-author and multi-recipient relationships).
 ## Runtime Topology
 The V2 runtime operates as an asynchronous Python application:
 * FastAPI + NiceGUI web application process.
 * In-process `asyncio` background task orchestrator for parallel API execution.
 * Relational persistence via PostgreSQL (using `asyncpg` or `psycopg3`).
 * Pydantic V2 validation layer wrapping API payloads and PostgreSQL `JSONB` schemas.
 ```mermaid
 flowchart LR
 U[Browser User] --> A[FastAPI + NiceGUI App]
 A --> W[Asyncio Worker Engine]
 A --> DB[(PostgreSQL Database)]
 W --> P[Vision Provider APIs\nOpenAI / Claude]
 W --> DB
 ```
 ## Lifecycle Ownership
 Application lifespan owns runtime setup/teardown:
 * Initialize environment logging and Pydantic configuration.
 * Manage asynchronous PostgreSQL connection pools (`asyncpg` / `psycopg3`).
 * Execute database migrations and index initialization.
 * Recover stale processing jobs on startup.
 * Manage graceful shutdown of active `asyncio` worker pools.
 ## Layered Module Structure
 ### Interface Layer
 * `src/transcription/ui/**` (NiceGUI pages, multi-page renderers, person cards)
 * `src/transcription/api/**` (FastAPI routes and JSON error handlers)
 ### Application & Async Worker Layer
 * `src/transcription/services/workflows.py`
 * `src/transcription/worker.py`
 Responsibilities:
 * Batch orchestration and status transitions (`queued` -> `processing` -> `completed` | `partial_success` | `failed`).
 * Parallel single-image API execution using `asyncio.gather` bounded by `asyncio.Semaphore`.
 * Pydantic schema parsing (`PageAIMetadata`) and validation prior to database storage.
 ### Domain & Service Layer
 * `src/transcription/models/*.py` (Pydantic V2 schemas and entity definitions)
 * `src/transcription/services/*.py` (Transactional operations for `Document`, `Person`, `Source`, `Job`, and `JobSource`)
 ### Infrastructure Layer
 * `src/transcription/db/**` (PostgreSQL connection pooling and raw parameterized SQL execution)
 * `src/transcription/providers/**` (OpenAI & Anthropic Vision SDK adapters)
 ## Processing Workflow
 1. User uploads a folder or batch of images for a `Document`.
 2. System creates `Document`, `Job(status='queued')`, and ordered `Source` pages (`page_number = 1..N`).
 3. Worker claims job, sets `Job.status = 'processing'`, and spawns parallel `asyncio` tasks bounded by semaphore.
 4. Each task calls Vision API for a **single** `Source` image.
 5. On task completion:
 * Writes a `JobSource` record containing `status='transcribed'`, `raw_transcription`, `ai_metadata` (bounding boxes/confidence), and `raw_api_response`.
 * Caches active text to `Source.raw_transcription`.
 6. On page failure:
 * Writes `JobSource` record with `status='failed'` and `error_detail`.
 7. Once all page tasks resolve:
 * Marks `Job.status` as `completed` (100% success), `partial_success` (at least 1 success, 1 failure), or `failed` (all failed).
 ## Domain Ownership & Invariants
 * **Immutable AI Outputs:** `source.raw_transcription` and `job_source.raw_transcription` store original, point-in-time machine output and are immutable.
 * **Inlined Revisions:** Human corrections occur on `source.revised_text`. UI renders `COALESCE(revised_text, raw_transcription)`.
 * **Sequential Integrity:** Multi-page documents are strictly ordered by `source.page_number ASC`.
 * **Page Execution Isolation:** A failure on one page image does not invalidate successful transcriptions on sister pages in the same batch job.
 ## Data Model Summary
 * `Document` has many `Source` pages, many `Job` runs, and many `Person` records via `DocumentPerson` junction (`author` or `recipient`).
 * `Source` belongs to one `Document` and can be processed across many `JobSource` executions.
 * `Job` has many `JobSource` execution records.
 ## Test Strategy
 * Unit tests for Pydantic V2 schemas, custom validators, and JSONB serialization.
 * Integration tests for async PostgreSQL connection handling and parameterized queries.
 * Async workflow tests using mock AI providers to verify `partial_success` and retry logic.
 * UI integration tests for multi-page rendering and person management.
 ---
 ## Technology References
 - [FastAPI documentation](https://fastapi.tiangolo.com/)
 - [NiceGUI documentation](https://nicegui.io/documentation)
 - [PostgreSQL documentation](https://www.postgresql.org/docs/)
 - [Python asyncio](https://docs.python.org/3/library/asyncio.html#module-asyncio)
 - [Pydantic Validation](https://pydantic.dev/docs/validation/latest/get-started/)
 - [Pydantic AI](https://pydantic.dev/docs/ai/overview/)
 ## Related Local References
 - [System Overview](index_v1.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - System Architecture (this document)
 - [System Requirements](requirements_v1.md)
 - [Data model](schema_v1.md)
 - [Error Handling Policy](error_handling_v1.md)
 - [Implementation Plan](implementation_plan_v1.md)
@@ -0,0 +1,102 @@
 ## PostgreSQL DDL Specification (Version 2)
 ```sql
 -- Enable pgcrypto for UUID generation if on PostgreSQL < 13
 CREATE EXTENSION IF NOT EXISTS "pgcrypto";
 -- 1. PERSON TABLE
 CREATE TABLE person (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    full_name TEXT NOT NULL,
    display_name TEXT,
    maiden_name TEXT,
    birth_date DATE,
    birth_date_raw TEXT,
    birth_place TEXT,
    death_date DATE,
    death_date_raw TEXT,
    death_place TEXT,
    biography TEXT,
    portrait_path TEXT,
    metadata JSONB DEFAULT '{}'::jsonb,
    created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
 );
 -- 2. DOCUMENT TABLE
 CREATE TABLE document (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    name TEXT NOT NULL,
    document_type TEXT,
    document_date DATE,
    document_date_raw TEXT,
    location_created TEXT,
    notes TEXT,
    archive_identifier TEXT,
    created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
    updated_at TIMESTAMPTZ NOT NULL DEFAULT now()
 );
 -- 3. DOCUMENT_PERSON (Junction Table for Multi-Author / Multi-Recipient)
 CREATE TABLE document_person (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    document_id UUID NOT NULL REFERENCES document(id) ON DELETE CASCADE,
    person_id UUID NOT NULL REFERENCES person(id) ON DELETE CASCADE,
    role VARCHAR(20) NOT NULL, -- 'author' or 'recipient'
    created_at TIMESTAMPTZ NOT NULL DEFAULT now(),
    CONSTRAINT unique_document_person_role UNIQUE (document_id, person_id, role)
 );
 -- 4. JOB TABLE (Batch-level orchestrator)
 CREATE TABLE job (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    document_id UUID NOT NULL REFERENCES document(id) ON DELETE CASCADE,
    status VARCHAR(50) NOT NULL DEFAULT 'queued', -- 'queued', 'processing', 'completed', 'partial_success', 'failed'
    retry_count INTEGER NOT NULL DEFAULT 0,
    provider TEXT NOT NULL,                        -- e.g., 'openai', 'anthropic'
    model TEXT NOT NULL,                           -- e.g., 'gpt-4o', 'claude-3-5-sonnet'
    prompt_name TEXT,
    date_created TIMESTAMPTZ NOT NULL DEFAULT now(),
    date_updated TIMESTAMPTZ NOT NULL DEFAULT now()
 );
 -- 5. SOURCE TABLE (Physical image files & active state)
 CREATE TABLE source (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    document_id UUID NOT NULL REFERENCES document(id) ON DELETE CASCADE,
    page_number INTEGER NOT NULL DEFAULT 1,
    upload_name TEXT NOT NULL,
    filename TEXT NOT NULL,
    file_path TEXT NOT NULL,
    raw_transcription TEXT,                       -- Cached active AI text output
    revised_text TEXT,                            -- Active human edited text
    date_uploaded TIMESTAMPTZ NOT NULL DEFAULT now(),
    date_revised TIMESTAMPTZ
 );
 -- 6. JOB_SOURCE (Junction Table: Per-Image Execution Record)
 CREATE TABLE job_source (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    job_id UUID NOT NULL REFERENCES job(id) ON DELETE CASCADE,
    source_id UUID NOT NULL REFERENCES source(id) ON DELETE CASCADE,
    status VARCHAR(50) NOT NULL DEFAULT 'pending', -- 'pending', 'transcribed', 'failed'
    raw_transcription TEXT,                       -- Point-in-time raw AI text output
    ai_metadata JSONB,                            -- Page-level bounding boxes, tokens, confidence
    raw_api_response JSONB,                       -- Complete REST response envelope
    error_detail TEXT,
    executed_at TIMESTAMPTZ NOT NULL DEFAULT now(),
    CONSTRAINT unique_job_source UNIQUE (job_id, source_id)
 );
 -- INDEXES FOR FAST LOOKUPS & QUERY PERFORMANCE
 CREATE INDEX idx_person_full_name ON person(full_name);
 CREATE INDEX idx_document_date ON document(document_date);
 CREATE INDEX idx_document_person_doc ON document_person(document_id);
 CREATE INDEX idx_document_person_per ON document_person(person_id);
 CREATE INDEX idx_source_document ON source(document_id);
 CREATE INDEX idx_source_page_order ON source(document_id, page_number);
 CREATE INDEX idx_job_document ON job(document_id);
 CREATE INDEX idx_job_source_job ON job_source(job_id);
 CREATE INDEX idx_job_source_source ON job_source(source_id);
 CREATE INDEX idx_job_source_ai_metadata ON job_source USING GIN (ai_metadata);  
 ```
@@ -0,0 +1,88 @@
 # Error Handling Policy (Version 2)
 This document defines the canonical error-handling policy for the V2 document transcription system.
 ## Error Handling Objectives
 * Make failures visible in clear, actionable language at both the document and individual page levels.
 * Support **isolated failure handling** in multi-image batches so single page errors do not crash an entire batch job.
 * Preserve diagnostic detail (Pydantic validation errors, raw provider responses) in PostgreSQL `JSONB` for fast troubleshooting.
 * Ensure consistent error envelope structure across API, UI, and async worker boundaries.
 ## Scope And Authority
 Governs error behavior across NiceGUI pages, FastAPI routes, service orchestration, `asyncio` background tasks, PostgreSQL interactions, and AI provider adapters.
 ## Error Taxonomy
 | Category | Definition | Retriable |
 | --- | --- | --- |
 | `validation_error` | Pydantic payload or parameter schema validation failure | no |
 | `user_input_error` | Unacceptable user file (unsupported image type, corrupt file) | no |
 | `not_found_error` | Requested resource (`Document`, `Source`, `Person`, `Job`) missing | no |
 | `conflict_error` | Operation violates state constraints (e.g., duplicate `document_person` role) | no |
 | `external_provider_error` | AI Provider API failure (rate limit, vision execution error) | yes |
 | `infrastructure_transient_error` | Temporary DB connection reset or HTTP timeout | yes |
 | `infrastructure_persistent_error` | Database down, missing API credentials, misconfiguration | no |
 | `internal_unexpected_error` | Uncaught Python exception or logic defect | no |
 ## Async Batch & Page-Level Error Behavior
 In multi-image `asyncio` batch processing:
 1. **Page Isolation:** Exceptions caught during individual page calls are caught within the `asyncio` task wrapper.
 2. **Page Record Logging:** Page failure detail is written directly to `job_source.error_detail` and `job_source.status = 'failed'`.
 3. **Batch Aggregate State:**
 * If **all** page tasks succeed -> `job.status = 'completed'`.
 * If **some** page tasks fail -> `job.status = 'partial_success'`.
 * If **all** page tasks fail -> `job.status = 'failed'`.
 4. **Retry Strategy:** The UI exposes a "Retry Failed Pages" option for `partial_success` jobs, which spawns a new targeted `Job` containing *only* the `Source` IDs marked as `failed`.
 ## API Error Response Contract
 API error responses return a structured JSON envelope:
 ```json
 {
 "error_id": "err_uuid_12345",
 "category": "validation_error",
 "message": "The uploaded payload failed schema validation.",
 "suggestion": "Check file format and metadata fields, then try again.",
 "details": {
 "pydantic_errors": [...]
 },
 "timestamp": "2026-07-31T07:55:00Z"
 }
 ```
 HTTP Status Mappings:
 * `validation_error`, `user_input_error` -> `400`
 * `not_found_error` -> `404`
 * `conflict_error` -> `409`
 * `external_provider_error` -> `502` / `503`
 * `infrastructure_transient_error` -> `503`
 * `infrastructure_persistent_error`, `internal_unexpected_error` -> `500`
 ---
 ## Technology References
 - [FastAPI documentation](https://fastapi.tiangolo.com/)
 - [NiceGUI documentation](https://nicegui.io/documentation)
 - [PostgreSQL documentation](https://www.postgresql.org/docs/)
 - [Python asyncio](https://docs.python.org/3/library/asyncio.html#module-asyncio)
 - [Pydantic Validation](https://pydantic.dev/docs/validation/latest/get-started/)
 - [Pydantic AI](https://pydantic.dev/docs/ai/overview/)
 ## Related Local References
 - [System Overview](index_v2.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v2.md)
 - [System Requirements](requirements_v2.md)
 - [Data model](schema_v2.md)
 - Error Handling Policy (this document)
 - [Implementation Plan](implementation_plan_v2.md)
@@ -0,0 +1,57 @@
 # implementation_plan_v2
 ## Goal
 Replace the current V1 SQLModel schema with the approved V2 schema and make sure every database operation works through the existing async SQLAlchemy/SQLModel session layer.
 Use a fresh database. There will be no migrations, data conversion, legacy compatibility shims, or parallel V1/V2 code paths.
 ## Current Project Impact
 - `src/transcription/db/models.py` still defines the V1 `Document`, `Source`, `Job`, and `Revision` tables.
 - The V2 target adds `Person`, `DocumentPerson`, and `JobSource`, moves revisions onto `Source`, and removes the direct `Source.job_id` relationship.
 - The engine, session factory, transaction handling, and PostgreSQL async support already exist and do not need to be rewritten.
 - Async CRUD currently lives in `DocumentService`, `JobService`, `TranscriptionService`, and the upload record helper. Their queries and eager-loading options depend on V1 relationships.
 - Existing tests cover only part of the schema and CRUD surface.
 ## Implementation
 ### 1. Update the schema
 - Replace the models in `src/transcription/db/models.py` with the approved V2 tables, enums, relationships, foreign keys, constraints, and indexes.
 - Remove `Revision`, `Source.job_id`, and the transcription fields that no longer belong on `Job`.
 - Keep `create_all()` as the schema bootstrap for a fresh database.
 - Delete `_ensure_sqlite_compat_columns()` and all schema patching from `src/transcription/db/operations.py`.
 - Keep the Python models, `docs/schema_v2.md`, and `docs/ddl_v2.sql` consistent.
 ### 2. Align the async CRUD methods
 - Keep the existing `ServiceBase` session and transaction pattern.
 - Update document CRUD to load and manage its ordered `Source` rows and `DocumentPerson` links.
 - Update job CRUD and queue queries to use `JobSource` instead of `Source.job_id`.
 - Add the missing async CRUD operations for `Person`, `Source`, `DocumentPerson`, and `JobSource` using the existing service style. Do not add another repository abstraction.
 - Replace revision CRUD with direct updates to `Source.revised_text` and `Source.date_revised`.
 - Remove the temporary transcript compatibility aliases instead of redirecting them.
 - Update only direct database call sites that construct or query these records; UI and worker feature changes are not part of this work.
 ### 3. Verify the schema and CRUD
 - Update the schema bootstrap test to expect `person`, `document`, `document_person`, `source`, `job`, and `job_source`, with no `revision` table.
 - Add async create, read, update, delete, list, and filtered-query tests for each entity that exposes those operations.
 - Test relationship loading, page ordering, uniqueness constraints, delete behavior, status values, and `JobSource` JSON fields.
 - Test both service-owned sessions and caller-provided sessions so flush/commit behavior remains correct.
 - Run the focused database and service tests, then the full suite with `uv run pytest`.
 ## Done When
 - A fresh database is created directly from the V2 SQLModel metadata.
 - All async CRUD methods pass against the V2 relationships and fields.
 - No code references `Revision`, `Source.job_id`, removed `Job` transcription fields, or compatibility aliases.
 - The focused tests and full test suite pass.
 ## Out of Scope
 - Database migrations or preservation of V1 data
 - Legacy compatibility code
 - Database engine or session-layer rewrites
 - UI redesign, batch orchestration, worker concurrency, deployment, and operational runbooks
@@ -0,0 +1,47 @@
 # Document Transcription System Overview (Version 2)
 This project is a personal-scale application for transcribing, indexing, and preserving historical family documents, letters, postcards, and journals.
 ## Start Here
 Read [architecture_v2.md](architecture_v2.md) first for technical overview and system design.
 ## Core V2 Capabilities
 * **Folder & Multi-Image Ingestion:** Upload whole folders or image batches that map sequentially (`page_number`) under a single `Document`.
 * **Parallel Async AI Vision Engine:** Concurrently process single-page image transcriptions using Python `asyncio` bounded by rate limiters.
 * **Robust PostgreSQL Storage:** Relational storage for entities with native `UUID`, `TIMESTAMPTZ`, and `JSONB` for deep AI spatial metadata and raw envelopes.
 * **Pydantic V2 Validation:** End-to-end type safety, DB row mapping, and JSONB payload validation.
 * **Historical Person Management:** Track authors and recipients across documents with rich biographical entities (`Person`).
 * **Page-Level Execution Auditing & Revisions:** Store immutable point-in-time machine output per run while enabling inline human corrections (`revised_text`).
 * **Partial Failure Recovery:** Bounded batch execution that isolates single-page API errors (`partial_success`) for simple retries.
 ## Technical Stack
 * **Application Web Framework:** FastAPI + NiceGUI
 * **Persistence Engine:** PostgreSQL 18+
 * **Data Validation & Schemas:** Pydantic V2
 * **Concurrency & Workers:** Python `asyncio` worker pool with `asyncio.Semaphore`
 * **Vision Providers:** OpenAI (GPT-4o) and Anthropic (Claude 3.5 Sonnet) via native SDKs
 ---
 ## Technology References
 - [FastAPI documentation](https://fastapi.tiangolo.com/)
 - [NiceGUI documentation](https://nicegui.io/documentation)
 - [PostgreSQL documentation](https://www.postgresql.org/docs/)
 - [Python asyncio](https://docs.python.org/3/library/asyncio.html#module-asyncio)
 - [Pydantic Validation](https://pydantic.dev/docs/validation/latest/get-started/)
 - [Pydantic AI](https://pydantic.dev/docs/ai/overview/)
 ## Documentation Index
 - System Overview (this document)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v2.md)
 - [System Requirements](requirements_v2.md)
 - [Data model](schema_v2.md)
 - [Error Handling Policy](error_handling_v2.md)
 - [Implementation Plan](implementation_plan_v2.md)
@@ -1,572 +0,0 @@
 # Step 1 Implementation Plan: `config.py` + `models.py` + `db.py`
 ## Purpose
 Establish the foundational data layer and configuration system that every subsequent MVP step builds on. At the end of this step, the project has a runnable Python package with a validated schema, typed configuration, and a test suite proving the data layer works — before any UI, worker, or AI provider code exists.
 ---
 ## 1. Prerequisite: Project Structure Scaffolding
 Before writing any logic, create the package skeleton so imports work correctly.
 ### Files to create (empty `__init__.py` stubs)
 ```
 src/
 └── transcription/
    ├── __init__.py
    ├── providers/
    │   └── __init__.py
    ├── services/
    │   └── __init__.py
    └── ui/
        └── __init__.py
 ```
 ### Files to create (with logic — the Step 1 deliverables)
 ```
 src/transcription/config.py
 src/transcription/models.py
 src/transcription/db.py
 ```
 ### Test files to create
 ```
 tests/
 ├── __init__.py
 ├── conftest.py
 ├── test_config.py
 ├── test_models.py
 └── test_db.py
 ```
 ### Update `pyproject.toml`
 Add the dependencies that Step 1 requires and won't change later:
 ```toml pyproject.toml
 [project]
 name = "transcription"
 version = "0.1.0"
 description = "Historical document transcription system"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
    "openrouter>=0.7.0",
    "pydantic>=2.13.4",
    "pydantic-settings>=2.9.1",
    "sqlmodel>=0.0.25",
 ]
 [project.optional-dependencies]
 dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.25",
 ]
 [tool.pytest.ini_options]
 addopts = "--strict-markers -q"
 markers = [
    "unit: pure logic tests with no external dependencies",
    "integration: tests that touch framework or database contracts",
    "external: tests that call external services (slow, requires credentials)",
 ]
 ```
 Key additions:
 - **`openrouter`** — official OpenRouter Python SDK used for model calls
 - **`pydantic-settings`** — for `BaseSettings` with env-var loading (this was split out of `pydantic` core in v2)
 - **`sqlmodel`** — provides SQLModel (which bundles SQLAlchemy + Pydantic model integration) and the SQLite driver
 - **`pytest` + `pytest-asyncio`** — in `dev` extras for test execution
 - **`[tool.pytest.ini_options]`** — strict marker checking enabled from the start; markers registered upfront per pytesting skill conventions
 ### Delete `hello.py`
 The placeholder file is no longer needed.
 ---
 ## 2. `config.py` — Centralized Configuration
 **Satisfies:** REQ-8 (centralized config and logging at startup)
 ### Design Decisions
 | Decision | Rationale |
 |----------|-----------|
 | Use `pydantic-settings` `BaseSettings` | Type-safe, validates on construction, loads from env vars and `.env` files automatically |
 | `PROVIDER` constrained to `openrouter` for MVP | Keeps configuration explicit while avoiding premature multi-provider complexity |
 | `OPENROUTER_API_KEY` required | Matches official SDK docs and avoids ambiguous provider-agnostic naming |
 | `PROVIDER_MODEL` defaults to `None` | OpenRouter adapter (Step 3) supplies a sensible default when `None` |
 | `OPENROUTER_HTTP_REFERER` and `OPENROUTER_APP_TITLE` optional | Matches SDK optional app-attribution fields |
 | `DATABASE_URL` defaults to SQLite | Zero-setup local development; PostgreSQL swap is a single env-var change post-MVP |
 | `UPLOAD_DIR` and `PROMPT_DIR` as `Path` objects | Enables `.mkdir(parents=True, exist_ok=True)` and path validation at startup |
 | Logging configured via `logging.config.dictConfig` in `setup_logging()` | Centralized, explicit formatter/handler/root logger topology; called once at startup with `disable_existing_loggers=False` |
 ### Proposed Implementation
 ```python src/transcription/config.py
 """Centralized application configuration.
 All settings are loaded from environment variables (or a .env file)
 once at startup. Provider-specific defaults (model names, base URLs)
 are resolved by the provider adapters, not here.
 """
 from enum import StrEnum
 from functools import lru_cache
 from pathlib import Path
 import logging
 import logging.config
 from pydantic_settings import BaseSettings, SettingsConfigDict
 class Provider(StrEnum):
    OPENROUTER = "openrouter"
 class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        extra="ignore",
    )
    # --- AI provider ---
    provider: Provider = Provider.OPENROUTER
    openrouter_api_key: str
    provider_model: str | None = None
    openrouter_http_referer: str | None = None
    openrouter_app_title: str | None = None
    # --- persistence ---
    database_url: str = "sqlite:///./transcription.db"
    # --- filesystem paths ---
    upload_dir: Path = Path("./uploads")
    prompt_dir: Path = Path("./prompts")
 LOGGING_CONFIG: dict[str, object] = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "standard": {
            "format": "%(asctime)s | %(levelname)-8s | %(name)s | %(message)s",
            "datefmt": "%Y-%m-%d %H:%M:%S",
        }
    },
    "handlers": {
        "console": {
            "class": "logging.StreamHandler",
            "formatter": "standard",
            "stream": "ext://sys.stdout",
        }
    },
    "root": {
        "level": "INFO",
        "handlers": ["console"],
    },
 }
@lru_cache(maxsize=1)
 def get_settings() -> Settings:
    """Return the singleton Settings instance.
    Cached so the entire application shares one validated config.
    """
    return Settings()
 def setup_logging() -> None:
    """Configure root logging once at startup."""
    logging.config.dictConfig(LOGGING_CONFIG)
 ```
 ### Key Behaviors
 - **Startup validation**: If `OPENROUTER_API_KEY` is missing from the environment, `Settings()` raises a `ValidationError` immediately — the app won't start with a missing key.
 - **`.env` support**: Developers can create a `.env` file in the project root for local keys; it's never committed (already covered by the existing `.gitignore` pattern or a new entry).
 - **`extra="ignore"`**: Unknown env vars don't cause errors, keeping the config resilient to unrelated environment variables.
 - **`lru_cache`**: `get_settings()` is the single access point. All modules import and call this function rather than constructing `Settings` directly.
 - **Centralized logging**: `setup_logging()` calls `dictConfig` exactly once at startup; all modules should use `logging.getLogger(__name__)` and avoid `basicConfig`.
 ### `.env` template (not committed — add to `.gitignore`)
 ```bash .env.example
 PROVIDER=openrouter
 OPENROUTER_API_KEY=sk-or-...
 # PROVIDER_MODEL=          # optional: OpenRouter adapter supplies default
 # OPENROUTER_HTTP_REFERER=https://example.com
 # OPENROUTER_APP_TITLE=Historical Transcription MVP
 # DATABASE_URL=sqlite:///./transcription.db
 # UPLOAD_DIR=./uploads
 # PROMPT_DIR=./prompts
 ```
 ### `.gitignore` addition
 ```gitignore .gitignore
 # ... existing entries ...
 # Environment secrets
 .env
 ```
 ---
 ## 3. `models.py` — SQLModel Domain Models
 **Satisfies:** REQ-3 (persist and expose job states), REQ-4 (persist transcription output and failure details)
 ### Design Decisions
 | Decision | Rationale |
 |----------|-----------|
 | Three models: `Document`, `Job`, `Transcript` | Minimal set from MVP Feature 5. One-to-many from Document→Job and one-to-one from Job→Transcript |
 | `JobStatus` as a `StrEnum` | Readable in the database (`"queued"` not `1`), type-safe in Python, trivially serializable to JSON for the UI |
 | Status values: `queued`, `processing`, `transcribed`, `failed` | Matches MVP Feature 2 lifecycle. REQ-3 also lists `upload` and `completed` — these are deferred to post-MVP when revision/review workflows exist |
 | UUIDs for primary keys | Avoids auto-increment collision concerns if we later move to PostgreSQL; safe for distributed ID generation; `uuid4` is simple |
 | `uploaded_at`, `created_at`, `updated_at` as UTC `datetime` | Timezone-naive UTC by convention for MVP. Sufficient for single-user, single-timezone operation |
 | `Transcript.text` is nullable | A failed job creates a Transcript with `text=None` and `error_detail` populated, keeping the query model uniform |
 | Relationships via SQLModel `Relationship` | Enables `document.jobs` and `job.transcript` navigation in service code without manual joins |
 ### Proposed Implementation
 - `resource://skills/fastapi-async-sqlalchemy-modernization/document`
 ```python src/transcription/models.py
 """SQLModel domain models for the transcription system.
 Three models capture the MVP lifecycle:
  Document  →  one-to-many  →  Job  →  one-to-one  →  Transcript
 """
 from datetime import datetime, timezone
 from enum import StrEnum
 from uuid import UUID, uuid4
 from sqlmodel import Field, Relationship, SQLModel
 class JobStatus(StrEnum):
    QUEUED = "queued"
    PROCESSING = "processing"
    TRANSCRIBED = "transcribed"
    FAILED = "failed"
 class Document(SQLModel, table=True):
    """An uploaded document image."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    filename: str
    file_path: str
    uploaded_at: datetime = Field(
        default_factory=lambda: datetime.now(timezone.utc),
    )
    # --- relationships ---
    jobs: list["Job"] = Relationship(back_populates="document")
 class Job(SQLModel, table=True):
    """A transcription job tied to a single document."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    document_id: UUID = Field(foreign_key="document.id")
    status: JobStatus = Field(default=JobStatus.QUEUED)
    created_at: datetime = Field(
        default_factory=lambda: datetime.now(timezone.utc),
    )
    updated_at: datetime = Field(
        default_factory=lambda: datetime.now(timezone.utc),
    )
    # --- relationships ---
    document: Document = Relationship(back_populates="jobs")
    transcript: "Transcript | None" = Relationship(back_populates="job")
 class Transcript(SQLModel, table=True):
    """The output of a transcription job."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    job_id: UUID = Field(foreign_key="job.id", unique=True)
    text: str | None = None
    error_detail: str | None = None
    created_at: datetime = Field(
        default_factory=lambda: datetime.now(timezone.utc),
    )
    # --- relationships ---
    job: Job = Relationship(back_populates="transcript")
 ```
 ### Entity-Relationship Summary
 ```
 ┌──────────┐       ┌──────────┐       ┌─────────────┐
 │ Document │ 1───* │   Job    │ 1───1 │ Transcript  │
 ├──────────┤       ├──────────┤       ├─────────────┤
 │ id (PK)  │       │ id (PK)  │       │ id (PK)     │
 │ filename │       │ doc_id   │──FK──▶│ job_id (FK) │
 │ file_path│       │ status   │       │ text        │
 │ uploaded │       │ created  │       │ error_detail│
 │          │       │ updated  │       │ created     │
 └──────────┘       └──────────┘       └─────────────┘
 ```
 ### Why Only Four Status Values
 REQ-3 lists six states: `upload`, `queued`, `processing`, `transcribed`, `failed`, `completed`. The MVP simplifies this:
 | REQ-3 State | MVP Treatment |
 |-------------|---------------|
 | `upload` | Implicit — the Document record exists before a Job is created. No separate job state needed. |
 | `queued` | ✅ Included — job created, waiting for worker pickup |
 | `processing` | ✅ Included — worker is actively transcribing |
 | `transcribed` | ✅ Included — AI output received and stored |
 | `failed` | ✅ Included — error captured |
 | `completed` | Deferred — implies human review/acceptance. In MVP, `transcribed` is the terminal success state. |
 ---
 ## 4. `db.py` — Database Engine and Session Management
 **Satisfies:** MVP Feature 5 (SQLite auto-created on first startup)
 ### Design Decisions
 | Decision | Rationale |
 |----------|-----------|
 | Module-level `create_engine` + `Session` factory | REQ-7 (lifespan-owned resources) is deferred. A module-level engine is adequate for MVP's single-process, single-user operation |
 | `create_all()` as an explicit function | Called at app startup. MVP auto-creates tables (REQ-10 deferred), but the function is isolated so it's easy to gate behind a flag later |
 | `get_session()` as a generator | Standard FastAPI/SQLModel pattern — yields a session, ensures cleanup. Compatible with `Depends()` when the API layer arrives in Step 5 |
 | `echo=False` default | Keeps logs clean. Can be toggled for debugging |
 ### Proposed Implementation
 ```python src/transcription/db.py
 """Database engine, session factory, and schema bootstrap.
 MVP uses SQLite with auto-create-tables at startup.
 PostgreSQL migration is a post-MVP configuration change.
 """
 import contextlib
 from collections.abc import Generator
 from sqlmodel import Session, SQLModel, create_engine
 from transcription.config import get_settings
 def _build_engine():
    settings = get_settings()
    connect_args = {}
    if settings.database_url.startswith("sqlite"):
        connect_args["check_same_thread"] = False
    return create_engine(
        settings.database_url,
        echo=False,
        connect_args=connect_args,
    )
 engine = _build_engine()
 def create_all() -> None:
    """Create all tables. Called once at application startup."""
    SQLModel.metadata.create_all(engine)
@contextlib.contextmanager
 def get_session() -> Generator[Session]:
    """Yield a database session and ensure cleanup."""
    with Session(engine) as session:
        yield session
 ```
 ### SQLite-Specific Note
 `check_same_thread=False` is required for SQLite when the session may be accessed from different threads (e.g., a background worker on a different thread than the request handler). This setting is harmless and ignored for PostgreSQL connection strings.
 ---
 ## 5. Test Plan
 Refer to these resources for rules and guidelines about structure:
 - `resource://skills/pytesting/document`
 - `resource://catalog/prompts/pytest-scaffold`
 - `resource://catalog/prompts/pytest-fill-scaffold`
 Hierarchy pattern used in this step:
 ```text
 tests/
    conftest.py
    test_config.py
        TestSettingsLoading
            test_loads_from_env
            test_requires_api_key
        TestProviderSettings
            test_defaults_to_openrouter
            test_rejects_invalid_value
            test_optional_fields_default_to_none
        TestPathSettings
            test_path_fields_are_path_objects
    test_models.py
        TestDocumentModel
            test_can_be_persisted
            test_defaults_are_populated
        TestJobModel
            test_can_be_created_for_document
            test_defaults_are_populated
            test_transitions_to_transcribed
            test_transitions_to_failed
        TestTranscriptModel
            test_success_record_persists
            test_failure_record_persists
            test_job_id_is_unique
        TestRelationships
            test_document_exposes_jobs
            test_job_exposes_transcript
    test_db.py
        TestSchemaBootstrap
            test_create_all_creates_expected_tables
        TestSessionFactory
            test_get_session_yields_session
            test_session_is_closed_after_generator_exit
 ```
 ### `tests/conftest.py` — Shared Fixtures
 ```python tests/conftest.py
 """Shared test fixtures.
 Every test gets a fresh in-memory SQLite database so tests are
 isolated, fast, and leave no artifacts on disk.
 """
 import pytest
 from sqlmodel import Session, SQLModel, create_engine
 from sqlmodel.pool import StaticPool
@pytest.fixture
 def session():
    """Provide a clean database session for each test."""
    engine = create_engine(
        "sqlite://",
        connect_args={"check_same_thread": False},
        poolclass=StaticPool,
    )
    SQLModel.metadata.create_all(engine)
    with Session(engine) as session:
        yield session
 ```
 `StaticPool` ensures a single in-memory SQLite connection is shared across threads, which is required when `TestClient` (Step 5) spawns threads that would otherwise get separate in-memory databases. Establishing it now keeps the fixture stable across all future steps.
 ### `tests/test_config.py` — Configuration Hierarchy
 | Class | Method | What It Verifies |
 |------|--------|------------------|
 | `TestSettingsLoading` | `test_loads_from_env` | `Settings` constructs successfully when `OPENROUTER_API_KEY` is set via env var |
 | `TestSettingsLoading` | `test_requires_api_key` | `Settings()` raises `ValidationError` when `OPENROUTER_API_KEY` is missing |
 | `TestProviderSettings` | `test_defaults_to_openrouter` | Default provider is `openrouter` when not explicitly set |
 | `TestProviderSettings` | `test_rejects_invalid_value` | Setting `PROVIDER=invalid` raises `ValidationError` |
 | `TestProviderSettings` | `test_optional_fields_default_to_none` | `provider_model`, `openrouter_http_referer`, and `openrouter_app_title` are `None` when unset |
 | `TestPathSettings` | `test_path_fields_are_path_objects` | `upload_dir` and `prompt_dir` are `Path` instances |
 ### `tests/test_models.py` — Model & Relationship Hierarchy
 | Class | Method | What It Verifies |
 |------|--------|------------------|
 | `TestDocumentModel` | `test_can_be_persisted` | A `Document` can be persisted and read back with correct fields |
 | `TestDocumentModel` | `test_defaults_are_populated` | `id` is auto-generated UUID, `uploaded_at` is populated |
 | `TestJobModel` | `test_can_be_created_for_document` | A `Job` linked to a `Document` via FK persists correctly |
 | `TestJobModel` | `test_defaults_are_populated` | Default status is `queued`, `created_at` and `updated_at` are populated |
 | `TestJobModel` | `test_transitions_to_transcribed` | Status can be updated from `queued` → `processing` → `transcribed` |
 | `TestJobModel` | `test_transitions_to_failed` | Status can be updated from `processing` → `failed` |
 | `TestTranscriptModel` | `test_success_record_persists` | A `Transcript` with `text` set and `error_detail=None` persists correctly |
 | `TestTranscriptModel` | `test_failure_record_persists` | A `Transcript` with `text=None` and `error_detail` set persists correctly |
 | `TestRelationships` | `test_document_exposes_jobs` | `document.jobs` returns the linked `Job` list |
 | `TestRelationships` | `test_job_exposes_transcript` | `job.transcript` returns the linked `Transcript` |
 | `TestTranscriptModel` | `test_job_id_is_unique` | Inserting two transcripts with the same `job_id` raises an integrity error |
 ### `tests/test_db.py` — Database Bootstrap Hierarchy
 | Class | Method | What It Verifies |
 |------|--------|------------------|
 | `TestSchemaBootstrap` | `test_create_all_creates_expected_tables` | After `create_all()`, the expected tables (`document`, `job`, `transcript`) exist in the database |
 | `TestSessionFactory` | `test_get_session_yields_session` | `get_session()` yields a usable `Session` object |
 | `TestSessionFactory` | `test_session_is_closed_after_generator_exit` | After the generator is exhausted, the session is closed |
 ### Marker Strategy (Step 1)
 - Markers (`unit`, `integration`, `external`) are registered upfront in `pyproject.toml` with `--strict-markers` enabled, per pytesting skill conventions.
 - All Step 1 tests are unmarked — they run in the default lane since they are fast, deterministic, and have no external dependencies.
 - When slower integration or external tests are introduced in later steps, apply explicit markers and keep test names unchanged.
 ### Test Workflow
 Follow the two-phase approach from `resource://catalog/prompts/pytest-scaffold` and `resource://catalog/prompts/pytest-fill-scaffold`:
 1. **Scaffold phase**: Create test files with class hierarchy, method names, and one-line docstrings only. Validate collection:
   - `uv run pytest --collect-only -q`
 2. **Fill phase**: Implement assertions, fixtures, and minimal test data. Treat scaffolded names and docstrings as locked. Validate execution:
   - `uv run pytest -q`
 Scaffolded structure is treated as a stable baseline — do not rename, move, merge, split, or re-nest tests once the scaffold is reviewed.
 ---
 ## 6. Step 1 Completion Checklist
 When all of the following are true, Step 1 is done and Step 2 can begin:
 | # | Criterion | How to Verify |
 |---|-----------|---------------|
 | 1 | `src/transcription/` package exists with `config.py`, `models.py`, `db.py` | `ls` / file inspection |
 | 2 | Empty `__init__.py` stubs exist for `providers/`, `services/`, `ui/` | `ls` / file inspection |
 | 3 | `Settings` loads from environment and validates `OPENROUTER_API_KEY` is present | `test_config.py` passes |
 | 4 | `Document`, `Job`, `Transcript` models create tables in SQLite | `test_models.py` passes |
 | 5 | `JobStatus` enum has exactly four values: `queued`, `processing`, `transcribed`, `failed` | `test_models.py` passes |
 | 6 | Foreign key relationships work: Document→Job→Transcript | `test_models.py` passes |
 | 7 | `create_all()` bootstraps the schema; `get_session()` yields a working session | `test_db.py` passes |
 | 8 | All tests pass: `uv run pytest -q` | CI / local run |
 | 9 | `hello.py` is deleted | File inspection |
 | 10 | `pyproject.toml` includes `openrouter`, `sqlmodel`, `pydantic-settings`, `pytest`, `pytest-asyncio` | File inspection |
 | 10a | `pyproject.toml` has `[tool.pytest.ini_options]` with `--strict-markers` and registered markers | File inspection |
 | 11 | `.env.example` documents all config vars; `.env` is in `.gitignore` | File inspection |
 | 12 | `setup_logging()` uses `logging.config.dictConfig` with centralized formatter/handler/root config | File inspection |
 | 13 | `uv run pytest --collect-only -q` shows expected test hierarchy | Local run |
 | 14 | `uv run pytest -q` passes all tests | Local run |
 ---
 ## 7. What This Step Does NOT Include
 Explicitly out of scope to prevent scope creep:
 | Excluded | Reason |
 |----------|--------|
 | FastAPI / NiceGUI app entrypoint | Step 5 |
 | Additional provider adapters beyond OpenRouter | Post-MVP |
 | Upload service logic | Step 4 |
 | Worker / background processing | Step 4 |
 | Transcription prompt files | Step 2 |
 | Alembic or migration tooling | Post-MVP (REQ-10 deferred) |
 | Async session factory | Post-MVP (REQ-7 deferred) |
 ---
 This plan produces a fully tested, importable data foundation. Every subsequent step imports from `transcription.config`, `transcription.models`, and `transcription.db` without modification.
@@ -1,278 +0,0 @@
 ## Step 2: prompts/transcribe_document.md
 ### Goal
 Implement the MVP prompt artifact system by creating a curated transcription prompt file:
 - `prompts/transcribe_document.md`
 This step primarily satisfies:
 - **REQ-12**: prompts stored as individual Markdown artifacts
 - MVP Feature 3: prompt-driven verbatim transcription behavior grounded in `docs/intent.md`
 ---
 ## Scope for Step 2
 ### In scope
 1. Create prompt artifact directory and first prompt file.
 2. Encode transcription rules from `docs/intent.md` into a model-facing prompt.
 3. Define stable prompt structure so future revisions are easy to diff/review.
 4. Add lightweight tests that validate artifact presence and baseline quality constraints.
 5. Update docs/README references so Step 3 can consume prompt file directly.
 ### Out of scope
 - Provider integration logic (Step 3)
 - Worker/job orchestration (Step 4)
 - UI behavior (Step 5)
 ---
 ## Proposed Deliverables
 1. **`prompts/transcribe_document.md`**
   - production prompt text for historical document transcription
 2. **`prompts/README.md`** (recommended)
   - conventions for prompt files, revision policy, naming
 3. **`tests/test_prompts.py`** (recommended)
   - artifact existence + structure checks
 4. **Small docs update** (README or docs reference)
   - indicate that prompts are file-based and loaded from `PROMPT_DIR`
 ---
 ## Detailed Work Breakdown
 ### 1) Create prompt artifact folder and canonical file
 - Add `prompts/` at repo root.
 - Add `transcribe_document.md` as the first curated artifact.
 - Keep filename stable; this becomes the default in Step 3 unless overridden.
 ### 2) Author prompt content using a strict, sectioned format
 Use section headers so future diffs are clean and policy changes are isolated.
 Suggested sections:
 1. **Purpose**
   - verbatim scholarly transcription of historical documents
 2. **Output requirements**
   - plain text only
   - no summaries, no paraphrasing
   - preserve reading order and meaningful structure
 3. **Core fidelity rules**
   - preserve original wording and punctuation
   - don’t silently normalize grammar/spelling
   - no invented content
 4. **Issue-handling rules (mapped from Intent table)**
   - misspellings with `[sic]`
   - missing words with `[word]`
   - uncertainty with `[guess?]`
   - illegible with `[illegible]` / reason tags
   - crossed-out text as `[deleted: ...]`
   - inserted text as `[inserted: ...]`
   - superscripts handling guidance
   - non-text elements as `[description]`
   - marginalia format `[written in left margin: ...]`
   - line-break hyphen rejoin behavior
   - capitalization policy
   - hierarchical outline preservation (including unusual numbering)
 5. **Confidence/ambiguity policy**
   - prefer explicit uncertainty markers over hallucination
 6. **Final self-checklist for model**
   - did I preserve structure?
   - did I mark uncertain text?
   - did I avoid silent corrections?
 ### 3) Add prompt-library conventions (`prompts/README.md`)
 Recommended conventions:
 - one prompt per file
 - snake_case names
 - each file starts with purpose + behavior contract
 - iterative edits, one prompt per PR where possible
 - no secrets in prompt files
 ### 4) Add tests for prompt assets (`tests/test_prompts.py`)
 Keep tests robust but not brittle.
 Recommended tests:
 1. `test_prompt_file_exists`
 2. `test_prompt_file_is_not_empty`
 3. `test_prompt_mentions_verbatim_behavior`
 4. `test_prompt_includes_uncertainty_and_illegible_markers`
 5. `test_prompt_includes_deleted_and_inserted_conventions`
 Avoid exact full-text matching; verify key semantic anchors only.
 ### 5) Optional config alignment check
 Current config already has:
 - `prompt_dir: Path = Path("./prompts")`
 In Step 2, ensure docs reflect this and that Step 3 will resolve:
 - `PROMPT_DIR / "transcribe_document.md"`
 ---
 ## Task-by-Task Execution Checklist
 ## Phase A — Scaffold files
 - [ ] **A1. Create prompt directory**
  - Path: `prompts/`
  - Verify: directory exists at repo root
 - [ ] **A2. Create canonical prompt file**
  - Path: `prompts/transcribe_document.md`
  - Verify: file exists and is non-empty
 - [ ] **A3. (Recommended) Create prompt library README**
  - Path: `prompts/README.md`
  - Verify: includes naming + revision conventions
 ---
 ## Phase B — Author prompt content (core work)
 - [ ] **B1. Add Purpose section**
  - States verbatim historical transcription objective
  - Explicitly disallows summarization/paraphrase
 - [ ] **B2. Add Output Contract section**
  - Plain text output expectation
  - Preserve meaningful structure and reading order
  - No fabricated text
 - [ ] **B3. Add Rule Set from `docs/intent.md`**
  - Misspellings/errors: `[sic]`
  - Missing words: `[word]`
  - Uncertain readings: `[guess?]`
  - Illegible regions: `[illegible]` / reason labels
  - Crossed-out text: `[deleted: ...]`
  - Squeezed-in text: `[inserted: ...]`
  - Superscripts/abbrev handling guidance
  - Non-text visuals: bracketed descriptive labels
  - Marginalia formatting cue
  - Rejoin line-break hyphenated words silently
  - Ambiguous capitalization policy
  - Hierarchical outline numbering preservation
 - [ ] **B4. Add Ambiguity and Confidence policy**
  - “Mark uncertainty instead of guessing”
  - “Never silently normalize uncertain passages”
 - [ ] **B5. Add Final Self-Check section**
  - Checklist for fidelity, uncertainty labeling, and format compliance
 ---
 ## Phase C — Add validations (tests)
 - [ ] **C1. Create prompt tests file**
  - Path: `tests/test_prompts.py`
 - [ ] **C2. Add existence/health checks**
  - Prompt file exists
  - Prompt file has content (non-whitespace)
 - [ ] **C3. Add semantic anchor checks**
  - Mentions verbatim behavior
  - Mentions uncertainty marker pattern (`?` in brackets conceptually)
  - Mentions illegible handling
  - Mentions deleted/inserted conventions
 - [ ] **C4. Keep tests resilient**
  - Avoid exact full-file snapshot assertions
  - Assert required concepts, not precise phrasing
 ---
 ## Phase D — Documentation alignment
 - [ ] **D1. Update top-level docs/README reference**
  - Mention that prompts live in `prompts/`
  - Mention Step 3 loads from `PROMPT_DIR`
 - [ ] **D2. Confirm config compatibility**
  - `src/transcription/config.py` already uses `prompt_dir = Path("./prompts")`
  - No code change needed unless naming/path mismatch appears
 ---
 ## Phase E — Verification
 - [ ] **E1. Run targeted test file**
  - `uv run pytest tests/test_prompts.py -q`
 - [ ] **E2. Run full suite**
  - `uv run pytest -q`
 - [ ] **E3. Confirm no regressions**
  - All existing tests still green (expected: previous 20 + new prompt tests)
 ---
 ## Phase F — Commit plan (recommended granularity)
 - [ ] **F1. Commit 1: scaffold**
  - `prompts/transcribe_document.md` (initial structure)
  - `prompts/README.md` (if included)
 - [ ] **F2. Commit 2: finalized prompt content**
  - full rule-complete prompt text
 - [ ] **F3. Commit 3: tests + docs alignment**
  - `tests/test_prompts.py`
  - README/docs mention of prompt artifact pattern
 ---
 ## Done Criteria (quick gate)
 - [ ] Canonical prompt exists and is curated for verbatim transcription.
 - [ ] Prompt encodes all high-value handling rules from `docs/intent.md`.
 - [ ] Prompt tests pass.
 - [ ] Full project tests pass with `uv`.
 - [ ] Ready for Step 3 provider integration.
 ---
 ## Acceptance Criteria (Definition of Done)
 Step 2 is complete when all are true:
 1. `prompts/transcribe_document.md` exists and is committed.
 2. Prompt includes all critical handling rules from `docs/intent.md`.
 3. Prompt is structured with stable section headings for future curation.
 4. Prompt tests pass under `uv run pytest -q`.
 5. Existing tests remain green (total suite still passes).
 6. Docs indicate prompt artifact location and curation policy.
 ---
 ## Risks and Mitigations
 1. **Risk: prompt too vague → hallucinated reconstructions**
   - Mitigation: explicit uncertainty/illegible conventions and “no invention” rule.
 2. **Risk: prompt too rigid for mixed document types**
   - Mitigation: include neutral defaults + clear annotation formats.
 3. **Risk: brittle tests block iterative prompt tuning**
   - Mitigation: test semantic anchors, not exact wording.
 ---
 ## Handoff to Step 3
 After Step 2, Step 3 can immediately:
 1. Load `transcribe_document.md` from `PROMPT_DIR`
 2. Inject prompt into OpenRouter request
 3. Start validating real transcription behavior with minimal glue code
@@ -1,236 +0,0 @@
 ## Step 3: services/transcription.py + providers/ 
 ### Objective
 Implement the **AI transcription integration layer** so the app can:
 1. Read the curated prompt from `PROMPT_DIR`
 2. Send prompt + image to the configured provider (OpenRouter)
 3. Return normalized transcription output (or structured failure)
 This corresponds to MVP Step 3 from `docs/mvp.md`:
 - `services/transcription.py`
 - `providers/` adapter(s)
 ---
 ## Scope for Step 3
 ### In scope
 - Provider abstraction and OpenRouter adapter
 - Prompt file loading utility in service layer
 - Image payload preparation
 - One high-level transcription service function usable by Step 4 worker
 - Unit tests (mocked provider SDK, no external calls)
 ### Out of scope
 - Job polling/background loop (Step 4)
 - DB status transition orchestration in worker loop (Step 4)
 - UI invocation/wiring (Step 5)
 ---
 ## Planned Deliverables
 ### Source files
 - `src/transcription/providers/base.py`
 - `src/transcription/providers/openrouter.py`
 - `src/transcription/providers/__init__.py` (exports + factory)
 - `src/transcription/services/transcription.py`
 - `src/transcription/services/__init__.py` (optional export)
 ### Tests
 - `tests/providers/test_openrouter.py`
 - `tests/services/test_transcription.py`
 ### Test directory convention
 - Mirror source domains under `tests/`.
 - Provider adapter tests live under `tests/providers/`.
 - Service-layer tests live under `tests/services/`.
 - Prefer one focused test module per production module (for Step 3: `test_openrouter.py`, `test_transcription.py`).
 ---
 ## Design Decisions (before coding)
 1. **Provider interface first**
   - Define a stable contract independent of SDK specifics.
   - Prevent Step 4 from depending on raw SDK response shapes.
 2. **Service returns normalized result object**
   - Include: `text`, `provider`, `model`, `raw_error`/exception metadata.
   - Worker can map this cleanly to `Transcript` and `JobStatus`.
 3. **Prompt loaded from file at call time**
   - Uses `get_settings().prompt_dir / "transcribe_document.md"`.
   - Keeps prompt edits hot-swappable without code changes.
 4. **Clear exception boundary**
   - SDK/network/model failures become predictable domain exceptions:
     - `ProviderError`
     - `PromptLoadError`
     - `TranscriptionError` (optional top-level wrapper)
 5. **Model resolution policy**
   - Use `settings.provider_model` if set
   - Otherwise use adapter default constant (e.g., vision-capable model slug)
 ---
 ## Task-by-Task Execution Checklist
 ## Phase A — Provider contract
 - [ ] Create `src/transcription/providers/base.py`
 - [ ] Define protocol/ABC for transcription providers:
  - [ ] method signature accepts prompt text + image bytes (or data URL) + mime type
  - [ ] returns normalized text result (and optional metadata)
 - [ ] Define shared provider exceptions:
  - [ ] `ProviderError`
  - [ ] optional subclasses (`ProviderAuthError`, `ProviderResponseError`)
 ---
 ## Phase B — OpenRouter adapter
 - [ ] Create `src/transcription/providers/openrouter.py`
 - [ ] Implement `OpenRouterTranscriptionProvider` with:
  - [ ] config-driven API key usage
  - [ ] optional referer/title attribution headers
  - [ ] model resolution fallback when `provider_model` is unset
 - [ ] Implement request building:
  - [ ] prompt included as instruction content
  - [ ] image included in supported format for vision call
 - [ ] Implement response parsing:
  - [ ] extract final transcript text from SDK response
  - [ ] validate non-empty text
 - [ ] Wrap SDK failures into `ProviderError` with clean message
 ---
 ## Phase C — Provider factory
 - [ ] Update `src/transcription/providers/__init__.py`
 - [ ] Add `get_transcription_provider()` factory:
  - [ ] reads `settings.provider`
  - [ ] returns OpenRouter adapter for `openrouter`
  - [ ] raises explicit error for unsupported provider values
 ---
 ## Phase D — Transcription service (Step 3 core)
 - [ ] Create `src/transcription/services/transcription.py`
 - [ ] Add prompt loader function:
  - [ ] default file: `transcribe_document.md`
  - [ ] raises `PromptLoadError` on missing/empty file
 - [ ] Add image loader/validator:
  - [ ] path existence check
  - [ ] allowed mime detection (`.jpg/.jpeg/.png/.tiff/.pdf` policy aligned to MVP)
 - [ ] Add high-level function (name example):
  - [ ] `transcribe_document_image(image_path, prompt_name="transcribe_document.md")`
  - [ ] loads prompt + image
  - [ ] calls provider from factory
  - [ ] returns normalized transcription result object
 - [ ] Add structured logging at key boundaries:
  - [ ] prompt loaded
  - [ ] provider invoked
  - [ ] success/failure outcome (no sensitive data in logs)
 ---
 ## Phase E — Tests (two-phase scaffold -> fill)
 ### Required execution resources
 Load and reference these directly during test planning/implementation so the two-phase flow is enforced:
 - [ ] `resource://catalog/prompts/pytest-scaffold`
 - [ ] `resource://prompts/pytest-scaffold/document`
 - [ ] `resource://catalog/prompts/pytest-fill-scaffold`
 - [ ] `resource://prompts/pytest-fill-scaffold/document`
 ### Phase E1 — Scaffold test structure first
 Prompt: `resource://catalog/prompts/pytest-scaffold`
 Suggested arguments:
 - [ ] `target_modules` = `src/transcription/providers/openrouter.py`, `src/transcription/services/transcription.py`
 - [ ] `mode` = `scaffold`
 - [ ] `path_strategy` = `src-to-tests-mirror`
 - [ ] `naming_style` = `concise-behavior`
 Expected scaffold outcomes:
 - [ ] `tests/providers/test_openrouter.py` exists with class/method skeletons and one-line docstrings
 - [ ] `tests/services/test_transcription.py` exists with class/method skeletons and one-line docstrings
 - [ ] collection succeeds on scaffold-only tests
 Scaffold coverage targets:
 - [ ] adapter initializes from settings
 - [ ] model fallback when `provider_model is None`
 - [ ] referer/title options included when set
 - [ ] successful SDK response parses transcript text
 - [ ] SDK exception maps to `ProviderError`
 - [ ] empty/invalid response maps to `ProviderError`
 - [ ] prompt loader reads canonical prompt file
 - [ ] missing prompt raises `PromptLoadError`
 - [ ] transcription function loads file and calls provider once
 - [ ] image path missing raises clear error
 - [ ] provider error is propagated/wrapped predictably
 - [ ] returned result includes transcript text and metadata
 ### Phase E2 — Fill scaffolded tests with assertions
 Prompt: `resource://catalog/prompts/pytest-fill-scaffold`
 Suggested arguments:
 - [ ] `target_files` = `tests/providers/test_openrouter.py`, `tests/services/test_transcription.py`
 - [ ] `stack` = `pure-python`
 - [ ] `strategy` = `minimal`
 - [ ] `marker_lane` = `unit`
 Fill constraints:
 - [ ] preserve scaffold class/method names and one-line docstrings
 - [ ] keep mocks to an absolute minimum; mock only network boundaries and non-deterministic failures
 - [ ] keep one behavior target per test method
 > Default suite should remain deterministic and fast, but mocking should be minimal and intentional.
 ### Optional real-endpoint validation lane
 - [ ] Add an opt-in integration lane for real provider calls (for example `@pytest.mark.integration` and `@pytest.mark.live_api`).
 - [ ] Gate live tests behind explicit env vars (for example `OPENROUTER_API_KEY`, optional `RUN_LIVE_API_TESTS=1`).
 - [ ] Exclude live tests from default CI/local runs unless explicitly requested.
 - [ ] Keep at least one thin smoke path that can validate request/response compatibility against the real endpoint.
 ---
 ## Phase F — Verification commands
 - [ ] E1 scaffold validation: `uv run pytest --collect-only -q`
 - [ ] E2 fill validation (unit lane): `uv run pytest -m unit -q`
 - [ ] E2 targeted provider file: `uv run pytest tests/providers/test_openrouter.py -q`
 - [ ] E2 targeted service file: `uv run pytest tests/services/test_transcription.py -q`
 - [ ] E2 final full-suite check: `uv run pytest -q`
 ---
 ## Implementation Notes / Guardrails
 - Avoid coupling Step 3 service to DB models directly (that belongs in Step 4 orchestration).
 - Do not silently swallow provider errors.
 - Keep prompt filename stable (`transcribe_document.md`) unless explicitly parameterized.
 - Keep request/response normalization inside provider adapter, not worker/UI layers.
 ---
 ## Definition of Done (Step 3)
 Step 3 is done when:
 1. Provider abstraction exists and OpenRouter adapter is implemented.
 2. Service can transcribe a local image using prompt file content.
 3. Failures are returned as structured exceptions, not raw SDK traceback noise.
 4. Unit tests for provider and service pass.
 5. Full suite remains green under `uv run pytest -q`.
 6. Step 4 can call a single service function to process queued jobs.
@@ -1,262 +0,0 @@
 ## Step 4: `services/upload.py` + `worker.py`
 ### Objective
 Implement the MVP upload and background-processing pipeline so the system can:
 1. Save uploaded files into `UPLOAD_DIR`
 2. Create `Document` + `Job(status="queued")`
 3. Process queued jobs in a worker loop:
   - `queued -> processing`
   - call Step 3 transcription service
   - persist `Transcript`
   - finalize as `transcribed` or `failed`
 This step advances MVP Feature 1 + Feature 2 and supports REQ-1, REQ-2, REQ-3, REQ-4, REQ-6.
 ---
 ## Scope
 ### In scope
 - `src/transcription/services/upload.py`
 - `src/transcription/worker.py`
 - Upload persistence logic and initial job creation
 - Worker polling and single-job lifecycle execution
 - Deterministic test coverage for upload + worker (default suite)
 ### Out of scope
 - UI integration and pages (Step 5)
 - Queue infrastructure beyond in-process loop
 - Async DB/session architecture refactor
 - Broad production hardening beyond MVP needs
 ---
 ## Planned Deliverables
 ### Source files
 - `src/transcription/services/upload.py`
 - `src/transcription/worker.py`
 - `src/transcription/services/__init__.py` (export updates as needed)
 ### Test files
 - `tests/services/test_upload.py`
 - `tests/services/test_worker.py`
 ### Optional external lane (already present pattern)
 - reuse `external` marker for live-provider checks where appropriate
 - keep external out of default lane
 ---
 ## Required MCP Prompt References (for test workflow)
 Apply these resources directly during Step 4 test creation:
 1. `resource://catalog/prompts/pytest-scaffold`
 2. `resource://prompts/pytest-scaffold/document`
 3. `resource://catalog/prompts/pytest-fill-scaffold`
 4. `resource://prompts/pytest-fill-scaffold/document`
 And (as referenced by those prompts) apply relevant pytest skill references for:
 - naming/hierarchy
 - marker defaults
 - SQLAlchemy sync testing behavior where applicable
 ---
 ## Design Decisions
 1. **Upload service owns initial file + record creation**
   - Writes file, creates `Document`, creates queued `Job`, returns IDs/path.
 2. **Worker owns lifecycle transitions**
   - Worker is the single owner of `queued -> processing -> terminal` job state changes.
 3. **Worker uses Step 3 service boundary**
   - Worker calls `transcribe_document_image(...)`; no provider-specific SDK logic in worker.
 4. **Failure information is always persisted**
   - On failure: store `Transcript(text=None, error_detail=...)` and set `Job.status=failed`.
 5. **Loop remains simple and stoppable**
   - In-process polling loop with stop event and poll interval for MVP simplicity and testability.
 ---
 ## Task-by-Task Execution Checklist
 ## Phase A — Implement upload service (`src/transcription/services/upload.py`)
 - [ ] Create `UploadError` exception
 - [ ] Create `UploadJobResult` dataclass with:
  - [ ] `document_id`
  - [ ] `job_id`
  - [ ] `stored_path`
  - [ ] `original_filename`
 - [ ] Add filename safety handling:
  - [ ] normalize to basename
  - [ ] avoid path traversal
  - [ ] collision-safe stored name (e.g., UUID prefix/suffix)
 - [ ] Validate upload payload:
  - [ ] non-empty bytes required
  - [ ] extension in supported set (`.jpg/.jpeg/.png/.tif/.tiff/.pdf`)
 - [ ] Ensure upload directory exists (`mkdir(parents=True, exist_ok=True)`)
 - [ ] Write file bytes to `UPLOAD_DIR`
 - [ ] Persist DB records in one transaction:
  - [ ] `Document(filename, file_path)`
  - [ ] `Job(document_id=..., status=queued)`
 - [ ] Return `UploadJobResult`
 - [ ] Add logging for success/failure boundaries
 ---
 ## Phase B — Implement worker core (`src/transcription/worker.py`)
 - [ ] Add `process_next_queued_job(...) -> bool`
 - [ ] Fetch oldest queued job
 - [ ] Return `False` when no queued jobs exist
 - [ ] Transition picked job to `processing` and update timestamp
 - [ ] Resolve associated `Document.file_path`
 - [ ] Call `transcribe_document_image(image_path=...)`
 - [ ] On success:
  - [ ] insert/update transcript text
  - [ ] clear error detail
  - [ ] mark job `transcribed`
  - [ ] update timestamp
 - [ ] On failure:
  - [ ] insert/update transcript with `text=None`, `error_detail=...`
  - [ ] mark job `failed`
  - [ ] update timestamp
 - [ ] Commit terminal state and return `True`
 - [ ] Add logs around job pickup, transition, and terminal outcome
 ---
 ## Phase C — Implement worker loop (`src/transcription/worker.py`)
 - [ ] Add `run_worker_loop(...)`
 - [ ] Accept configurable stop event/signal
 - [ ] Accept configurable poll interval
 - [ ] Repeatedly call `process_next_queued_job`
 - [ ] Sleep only when queue is empty
 - [ ] Exit cleanly when stop event is set
 ---
 ## Phase D — Exports
 - [ ] Update `src/transcription/services/__init__.py` to expose upload APIs
 - [ ] Keep existing transcription exports intact
 ---
 ## Phase E — Tests via MCP scaffold -> fill flow
 ## E1 Scaffold (structure only)
 Use scaffold prompt workflow first for:
 - `src/transcription/services/upload.py`
 - `src/transcription/worker.py`
 Expected scaffold targets:
 - `tests/services/test_upload.py`
 - `tests/services/test_worker.py`
 Scaffold rules:
 - [ ] Class hierarchy + method names + one-line docstrings only
 - [ ] No assertions or implementation details in scaffold phase
 - [ ] Keep method names concise and behavior-focused
 Validation:
 - [ ] `uv run pytest --collect-only -q`
 ## E2 Fill scaffold (implementation)
 Use fill prompt workflow for:
 - `tests/services/test_upload.py`
 - `tests/services/test_worker.py`
 - stack: `sqlalchemy-sync` (or `mixed` if combining pure + DB behaviors)
 - marker lane preference: `unit` and `integration` as appropriate
 - strategy: minimal deterministic implementation
 Fill rules (invariants):
 - [ ] Preserve scaffold class names, method names, and one-line docstrings
 - [ ] Do not rename/re-nest scaffolded tests unless explicitly approved
 - [ ] One behavior target per test
 - [ ] Minimal mocking; mock only network/nondeterministic boundaries
 Suggested test coverage:
 ### `tests/services/test_upload.py`
 - [ ] creates file + document + queued job (`integration`)
 - [ ] rejects empty bytes (`unit`)
 - [ ] rejects unsupported extension (`unit`)
 - [ ] writes collision-safe unique filename (`integration`)
 - [ ] persisted job status is `queued` (`integration`)
 ### `tests/services/test_worker.py`
 - [ ] returns `False` when queue empty (`integration`)
 - [ ] transitions `queued -> processing -> transcribed` on success (`integration`)
 - [ ] stores transcript text on success (`integration`)
 - [ ] transitions to `failed` and stores `error_detail` on failure (`integration`)
 - [ ] updates existing transcript instead of duplicate create (`integration`)
 - [ ] worker loop exits when stop event set (`unit`)
 ---
 ## Marker Strategy
 - `unit`: pure logic tests (filename handling, loop stop behavior, validation logic)
 - `integration`: DB + service orchestration tests (SQLite/session/contracts)
 - `external`: opt-in live provider tests only (not part of default Step 4 lane)
 No new marker needed; reuse existing marker registration.
 ---
 ## Validation Sequence (strict order)
 - [ ] `uv run pytest --collect-only -q`
 - [ ] `uv run pytest -m unit -q` *(if unit tests touched)*
 - [ ] `uv run pytest tests/services/test_upload.py -q`
 - [ ] `uv run pytest tests/services/test_worker.py -q`
 - [ ] `uv run pytest -q`
 ---
 ## Reporting Requirements (after implementation)
 Implementation report must include:
 1. Files created/updated
 2. Fixture and marker decisions
 3. MCP references used and why
 4. Validation command results
 5. Remaining risks/open questions (only blockers)
 ---
 ## Guardrails
 - Keep Step 4 independent from UI concerns.
 - Do not call provider SDK directly from worker.
 - Do not silently swallow exceptions.
 - Always persist terminal job outcome.
 - Keep default suite deterministic and fast.
 - Preserve scaffold invariants during fill phase.
 ---
 ## Definition of Done (Step 4)
 Step 4 is complete when:
 - [ ] Upload service writes file and creates `Document` + queued `Job`
 - [ ] Worker processes queued jobs end-to-end using Step 3 transcription service
 - [ ] Success path persists transcript text and sets `transcribed`
 - [ ] Failure path persists error detail and sets `failed`
 - [ ] Queue-empty path returns cleanly
 - [ ] New tests pass and full suite is green (`uv run pytest -q`)
 - [ ] Output report includes MCP reference usage + validation evidence
@@ -1,70 +0,0 @@
 Step 5 is implemented and passing ✅
 ### What I implemented
 #### App/bootstrap
 - Added `src/transcription/app.py`:
  - `create_app()` factory
  - FastAPI lifespan startup/shutdown:
    - `setup_logging()`
    - `create_all()`
    - ensure `upload_dir` and `prompt_dir`
    - start/stop worker thread (`run_worker_loop`)
  - includes health router
  - registers NiceGUI pages
 #### API
 - Added `src/transcription/api/__init__.py`
 - Added `src/transcription/api/health.py`:
  - `GET /healthz` returns `{"status": "ok"}`
 #### UI
 - Added `src/transcription/ui/upload_page.py`:
  - upload page route
  - accepted extensions helper
  - upload submit helper to Step 4 service (`create_upload_job`)
  - success/error state messaging
 - Added `src/transcription/ui/jobs_page.py`:
  - jobs list page
  - job detail page
  - `fetch_jobs()` and `fetch_job_detail()` helpers
 - Updated `src/transcription/ui/__init__.py`:
  - explicit page registration
  - NiceGUI mounted via `ui.run_with(app, mount_path="/ui", ...)`
 #### Dependencies
 - Added runtime dependencies:
  - `fastapi`
  - `nicegui`
 ---
 ### Tests created and filled (scaffold → fill)
 - `tests/test_app.py`
 - `tests/api/test_health.py`
 - `tests/ui/test_pages_registration.py`
 - `tests/ui/test_upload_page.py`
 - `tests/ui/test_jobs_page.py`
 All scaffolded method names/docstrings were preserved and filled with executable assertions.
 ---
 ### Validation results (strict sequence)
 - `uv run pytest --collect-only -q` ✅
 - `uv run pytest -m unit -q` ✅
 - `uv run pytest tests/api/test_health.py -q` ✅
 - `uv run pytest tests/ui/test_pages_registration.py -q` ✅
 - `uv run pytest tests/test_app.py -q` ✅
 - `uv run pytest tests/ui/test_upload_page.py -q` ✅
 - `uv run pytest tests/ui/test_jobs_page.py -q` ✅
 - `uv run pytest -q` ✅
 Full suite is green.
 ---
 ### Note
 You’ll see one warning from FastAPI/Starlette test client about `httpx` deprecation; it does not affect correctness and all tests pass.
@@ -1,310 +0,0 @@
 ## Step 5: `app.py` + UI Pages (NiceGUI + FastAPI composition)
 ## Objective
 Implement the MVP user-facing application layer so users can:
 1. Upload a document from the UI
 2. Trigger Step 4 upload/job creation flow
 3. See live job lifecycle status (`queued`, `processing`, `transcribed`, `failed`)
 4. Open a job detail view to read transcript text or failure details
 This step composes Steps 1–4 into a usable UI.
 ---
 ## Architecture Summary (NiceGUI-aligned)
 Step 5 uses a **FastAPI app factory + lifespan orchestration** and mounts/registers NiceGUI pages via explicit page modules.
 Reference baseline: `resource://skills/nicegui/document`
 ### Core architecture decisions
 - **App factory:** `create_app()`
 - **Lifespan-managed resources:** worker start/stop managed in startup/shutdown
 - **Modular pages:** upload and jobs pages in separate modules (no monolithic UI file)
 - **Health endpoint:** FastAPI-side `/healthz`
 - **UI composition:** route pages stay modular and reusable shared shell/components live under `ui/components` as needed
 - **Styling architecture:** shared CSS loaded once at startup; avoid ad-hoc per-page styling drift
 - **Dependency direction (one-way):**
  - `app` -> `config/logging/db/worker/ui/api`
  - `ui/pages` -> `ui/components` + `services`
  - `services` -> `db/models/providers`
  - no reverse imports from services into UI/API
 ### DB and AI stance (explicit)
 - **DB:** already enabled (SQLModel + SQLite), session lifecycle remains request/service-scoped as built in prior steps.
 - **AI workflow:** already in place via Step 3 transcription service + Step 4 worker; UI does not call provider SDK directly.
 - **Mounted docs:** not in Step 5 scope; docs mounting remains disabled for MVP.
 ### Async and responsiveness stance
 - Prefer `async def` for page handlers and service boundaries when I/O is involved.
 - Keep UI handlers non-blocking (no blocking sleeps or synchronous long I/O calls).
 - For long-running user actions, always provide explicit loading/progress/error states.
 - Keep cancellation/timeout behavior explicit for refresh/poll operations where applicable.
 ---
 ## Scope
 ### In scope
 - `src/transcription/app.py`
 - `src/transcription/ui/upload_page.py`
 - `src/transcription/ui/jobs_page.py`
 - `src/transcription/ui/__init__.py`
 - `src/transcription/api/health.py` (or equivalent FastAPI health route module)
 - UI/app tests with MCP scaffold->fill flow
 ### Out of scope
 - Auth
 - advanced filtering/search UX
 - batch upload UX beyond MVP
 - deployment/container hardening
 ---
 ## Planned Deliverables
 ### Source files
 - `src/transcription/app.py` (app factory + lifespan wiring)
 - `src/transcription/api/health.py` (GET `/healthz`)
 - `src/transcription/ui/upload_page.py` (upload flow)
 - `src/transcription/ui/jobs_page.py` (status list + detail)
 - `src/transcription/ui/__init__.py` (explicit `register_pages(...)` export)
 - `src/transcription/ui/components/*` (shared shell/navigation/status components if introduced)
 - `src/transcription/ui/static/*.css` (optional shared CSS loaded once at startup)
 ### Test files
 - `tests/test_app.py`
 - `tests/api/test_health.py`
 - `tests/ui/test_pages_registration.py`
 - `tests/ui/test_upload_page.py`
 - `tests/ui/test_jobs_page.py`
 ---
 ## Implementation Plan + Checklist
 Plan baseline and guardrails source: `resource://skills/nicegui/document`
 ## Phase A — App factory and lifespan orchestration
 - [ ] Create `create_app()` in `src/transcription/app.py`
 - [ ] Add FastAPI lifespan startup/shutdown handlers
 - [ ] Startup responsibilities:
  - [ ] `setup_logging()`
  - [ ] `create_all()`
  - [ ] ensure directories exist (`upload_dir`, `prompt_dir`)
  - [ ] create worker stop event
  - [ ] start worker background thread/task
 - [ ] Shutdown responsibilities:
  - [ ] signal stop event
  - [ ] join/cleanup worker thread/task cleanly
 - [ ] Register API router(s), including health route
 - [ ] Register NiceGUI pages via explicit page registration function
 - [ ] Load shared CSS once at startup (if present)
 ## Phase B — FastAPI health endpoint
 - [ ] Create `src/transcription/api/health.py`
 - [ ] Add `GET /healthz` returning simple healthy payload
 - [ ] Wire route into app factory
 ## Phase C — Upload page (`ui/upload_page.py`)
 - [ ] Add upload route/page registration function
 - [ ] Render file input accepting supported extensions
 - [ ] On submit:
  - [ ] show loading/progress state
  - [ ] call `create_upload_job(filename, file_bytes, ...)`
  - [ ] show success state with job reference/link
 - [ ] On error:
  - [ ] show user-safe error message
  - [ ] restore ready UI state
 - [ ] Ensure non-blocking I/O in UI event handlers; offload CPU-heavy work to worker path
 - [ ] Make timeout/cancellation behavior explicit for any long-running action
 ## Phase D — Jobs page (`ui/jobs_page.py`)
 - [ ] Add jobs list route/page registration function
 - [ ] Display jobs with status + timestamps
 - [ ] Add job detail route/view
 - [ ] Show transcript on success, error detail on failure
 - [ ] Include explicit refresh action and loading state
 - [ ] Ensure error states are surfaced to user and logged
 - [ ] Keep refresh path async and bounded to avoid UI freeze
 ## Phase E — UI registration module
 - [ ] Update `src/transcription/ui/__init__.py`
 - [ ] Export `register_pages(...)`
 - [ ] Ensure each page module exports `register_page(...)`
 - [ ] Keep page registration explicit and modular
 ## Phase F — Shared components and style consistency
 - [ ] Add `ui/components` module only for reusable shell elements (header/nav/status chips), not page-local logic
 - [ ] Keep structural layout in Python; keep visual polish in shared CSS
 - [ ] Avoid one-off styling duplication across upload/jobs pages
 ---
 ## MCP Testing Workflow (Required)
 Use these resources directly:
 - `resource://catalog/prompts/pytest-scaffold`
 - `resource://prompts/pytest-scaffold/document`
 - `resource://catalog/prompts/pytest-fill-scaffold`
 - `resource://prompts/pytest-fill-scaffold/document`
 ## E1 — Scaffold tests first (structure only)
 Target modules:
 - `src/transcription/app.py`
 - `src/transcription/api/health.py`
 - `src/transcription/ui/upload_page.py`
 - `src/transcription/ui/jobs_page.py`
 Scaffold test files:
 - `tests/test_app.py`
 - `tests/api/test_health.py`
 - `tests/ui/test_pages_registration.py`
 - `tests/ui/test_upload_page.py`
 - `tests/ui/test_jobs_page.py`
 Scaffold constraints:
 - [ ] class/method skeletons only
 - [ ] one-line docstrings
 - [ ] concise behavior-focused names
 - [ ] no implementation assertions yet
 Validation:
 - [ ] `uv run pytest --collect-only -q`
 ## E2 — Fill scaffold tests
 Fill constraints from MCP guidance:
 - [ ] preserve scaffold class/method names and docstrings (locked baseline)
 - [ ] one behavior target per method
 - [ ] deterministic tests preferred
 - [ ] minimal mocking; only nondeterministic boundaries
 Stack:
 - [ ] `fastapi` (or `mixed` if needed for UI+DB fixture combination)
 Suggested coverage:
 ### `tests/api/test_health.py`
 - [ ] `/healthz` returns success status and expected payload shape
 ### `tests/ui/test_pages_registration.py`
 - [ ] page registration wiring succeeds
 - [ ] expected routes are present
 ### `tests/test_app.py`
 - [ ] startup path initializes runtime dependencies
 - [ ] worker start is invoked on startup
 - [ ] worker shutdown signal/cleanup is invoked on shutdown
 ### `tests/ui/test_upload_page.py`
 - [ ] upload action calls upload service
 - [ ] success feedback displayed
 - [ ] error feedback displayed for `UploadError`
 - [ ] loading/progress state behavior covered
 - [ ] timeout/cancellation behavior covered (if implemented)
 ### `tests/ui/test_jobs_page.py`
 - [ ] list renders job statuses
 - [ ] detail shows transcript text for successful job
 - [ ] detail shows error detail for failed job
 - [ ] refresh/loading state behavior covered
 Marker strategy:
 - [ ] `unit` for pure helpers/state formatting
 - [ ] `integration` for app/page/service+DB contracts
 - [ ] `external` not required for default Step 5 lane
 Async behavior assertions:
 - [ ] long-running actions keep button/inputs in expected disabled state
 - [ ] completion/failure returns controls to ready state
 ---
 ## Validation Sequence (strict)
 - [ ] `uv run pytest --collect-only -q`
 - [ ] `uv run pytest -m unit -q` *(if unit tests touched)*
 - [ ] `uv run pytest tests/api/test_health.py -q`
 - [ ] `uv run pytest tests/ui/test_pages_registration.py -q`
 - [ ] `uv run pytest tests/test_app.py -q`
 - [ ] `uv run pytest tests/ui/test_upload_page.py -q`
 - [ ] `uv run pytest tests/ui/test_jobs_page.py -q`
 - [ ] `uv run pytest -q`
 ---
 ## Guardrails (NiceGUI + MVP)
 - [ ] Do not collapse pages into one file.
 - [ ] Do not use implicit global side effects for runtime wiring.
 - [ ] Keep UI responsive with explicit loading/progress/error states.
 - [ ] Do not block UI handlers with synchronous long I/O.
 - [ ] Do not place provider SDK calls in UI handlers.
 - [ ] Keep dependency direction one-way and maintainable.
 - [ ] Keep shared UI in `ui/components`; keep service logic out of page modules.
 ---
 ## Definition of Done
 - [ ] App factory + lifespan are in place
 - [ ] Health endpoint exists and is tested
 - [ ] Upload page creates queued jobs through service boundary
 - [ ] Jobs list/detail pages render status/transcript/failure data
 - [ ] Worker lifecycle is started/stopped by app lifespan
 - [ ] Async UI states (loading/success/error) are deterministic and tested
 - [ ] Scaffold->fill testing flow completed and validated
 - [ ] Full suite passes: `uv run pytest -q`
 ## Completion Checks (NiceGUI skill aligned)
 - [ ] Uses app factory and FastAPI lifespan
 - [ ] Pages are modularized (not single-file UI)
 - [ ] Health endpoint exists on FastAPI side
 - [ ] Dependency direction is clean and one-way
 - [ ] Async-first guidance is applied where I/O exists, with explicit non-blocking UX states
 - [ ] DB/AI/docs decisions are explicit and reflected in structure
 - [ ] Plan references baseline URI: `resource://skills/nicegui/document`
 ---
 ## PR Checklist (Integrated)
 ### Implementation
 - [ ] `app.py` app factory + lifespan implemented
 - [ ] FastAPI health route (`/healthz`) implemented
 - [ ] `ui/upload_page.py` implemented
 - [ ] `ui/jobs_page.py` implemented
 - [ ] `ui/__init__.py` explicit page registration implemented
 - [ ] Worker startup/shutdown managed by lifespan
 ### Testing (MCP-compliant)
 - [ ] Scaffold phase completed first for all Step 5 tests
 - [ ] `--collect-only` passed on scaffolds
 - [ ] Fill phase completed without renaming/re-nesting scaffolded tests
 - [ ] Marker decisions documented (`unit` vs `integration`)
 - [ ] Targeted tests passed
 - [ ] Full suite passed
 ### Evidence
 - [ ] Validation command outputs captured
 - [ ] Files created/updated listed
 - [ ] MCP prompt resources referenced in implementation notes
 - [ ] Any residual risks/questions documented
 ---
@@ -1,50 +0,0 @@
 Step 6 implemented ✅
 ### Files added
 - `tests/integration/test_pipeline_flow.py`
 - `tests/test_traceability.py`
 ### What was implemented
 #### 1) End-to-end pipeline integration coverage
 `tests/integration/test_pipeline_flow.py` now verifies:
 - **Success path**
  - upload creates queued job
  - worker processes job
  - job becomes `transcribed`
  - transcript text is persisted
  - error detail remains `None`
 - **Failure path**
  - upload creates queued job
  - worker processing failure is handled
  - job becomes `failed`
  - transcript has `text=None`
  - `error_detail` contains provider failure reason
 #### 2) MVP requirement traceability check
 `tests/test_traceability.py` adds a concrete map:
 - REQ-0, REQ-1, REQ-2, REQ-3, REQ-4, REQ-5, REQ-6, REQ-8, REQ-12
 - each REQ maps to one or more existing test files
 - test asserts each mapped path exists (guards against drift)
 ---
 ### Validation run results
 Executed and passed:
 1. `uv run pytest --collect-only -q` ✅  
 2. `uv run pytest -m unit -q` ✅  
 3. `uv run pytest -m integration -q` ✅  
 4. `uv run pytest -m "not external" -q` ✅  
 5. `uv run pytest tests/integration/test_pipeline_flow.py -q` ✅  
 6. `uv run pytest tests/ui/test_upload_page.py -q` ✅  
 7. `uv run pytest tests/ui/test_jobs_page.py -q` ✅  
 8. `uv run pytest -q` ✅  
 All green.  
 (Only existing non-blocking FastAPI TestClient deprecation warning remains.)
@@ -1,229 +0,0 @@
 ## Step 6: Test and Verification Hardening (MVP closeout)
 ## Objective
 Complete MVP verification by building a **requirements-traceable, deterministic test strategy** across unit/integration/external lanes, then enforcing stable validation commands and reporting.
 This step finalizes the MVP implementation sequence from `docs/mvp.md` (Step 6 in the build order: tests and automated verification).
 ---
 ## MCP Resource Integration (what was applied)
 I reviewed all top-level skills/prompts from `john-stream-mcp` and integrated the relevant guidance into this plan:
 ### Directly applied
 - `resource://skills/pytesting/document`
 - `resource://catalog/prompts/pytest-scaffold`
 - `resource://prompts/pytest-scaffold/document`
 - `resource://catalog/prompts/pytest-fill-scaffold`
 - `resource://prompts/pytest-fill-scaffold/document`
 - `resource://skills/nicegui/document`
 - `resource://skills/nicegui-ui-customization/document`
 - `resource://skills/fastapi-uv-docker/document`
 - `resource://skills/python-logging-dictconfig/document`
 - `resource://skills/python-typing/document`
 - `resource://skills/ruff-linting-formating/document`
 ### Reviewed but informational/non-blocking for Step 6
 - `copilot-customization`, `mcp-details`, `vscode-configuration`, `zensical-docs`, and authoring/shim prompts.
  - These are primarily customization/documentation tooling resources, not core MVP test-lane blockers.
  - Step 6 includes optional workflow follow-ups where relevant (e.g., VS Code task conveniences).
 ---
 ## Scope
 ### In scope
 - Strengthen and complete test coverage for the shipped MVP slice (Steps 1–5)
 - Add requirement-to-test traceability for REQ-0..REQ-12 (MVP subset emphasized)
 - Enforce deterministic default lanes (`unit`, `integration`)
 - Keep `external` lane opt-in and isolated
 - Validate app/UI/service/worker contracts end-to-end at test level
 ### Out of scope
 - Major architecture rewrites (async SQLAlchemy migration, queue system, etc.)
 - Full production deployment rollout
 - Post-MVP feature expansion (revision history, search, export)
 ---
 ## Planned Deliverables
 ### Test files (new/updated)
 - `tests/test_traceability.py` *(or docs-based traceability matrix if preferred)*
 - `tests/integration/test_pipeline_flow.py` *(upload -> queued -> worker -> transcript/failed)*
 - `tests/ui/test_upload_page.py` (augment loading/error/ready-state checks as practical)
 - `tests/ui/test_jobs_page.py` (augment refresh/error behavior checks as practical)
 - Existing tests touched only when needed; preserve naming/hierarchy unless explicitly approved.
 ### Optional docs output
 - `docs/tests.md` or `docs/verification.md` with lane definitions and command matrix
 - REQ-to-test mapping table
 ---
 ## Design and Policy Decisions (MCP-aligned)
 1. **Scaffold-first, fill-second workflow is mandatory**
   - First create/adjust skeletons and collect.
   - Then fill test bodies.
   - Preserve scaffold names/docstrings during fill.
 2. **Deterministic-first default lanes**
   - `unit` and `integration` run by default.
   - `external` remains explicit opt-in.
 3. **One behavior target per test**
   - Short, behavior-focused names.
   - Precise assertions on observable outcomes.
 4. **Test double discipline (from pytesting skill)**
   - Prefer real-input/real-object paths first.
   - If monkeypatch/mocks/fakes are needed for a boundary, keep narrowly scoped.
   - Avoid call-only assertions.
 5. **NiceGUI responsiveness expectations**
   - Verify loading/success/error state transitions where testable.
   - Ensure user-facing feedback behavior is covered.
 6. **FastAPI/ops baseline checks**
   - Keep `/healthz` route validation in default lanes.
   - Keep startup/shutdown lifecycle assertions present.
 ---
 ## Implementation Plan + Checklist
 ## Phase A — Coverage and traceability audit
 - [ ] Build a REQ-to-test matrix for MVP requirements:
  - [ ] REQ-0, REQ-1, REQ-2, REQ-3, REQ-4, REQ-5, REQ-6, REQ-8, REQ-12
 - [ ] Identify weak spots:
  - [ ] full pipeline integration (service + worker + persistence)
  - [ ] UI state transition assertions (loading/error/ready)
  - [ ] failure-path persistence verification robustness
 - [ ] Record current baseline command results before edits
 ## Phase B — Scaffold phase (pytest-scaffold resources)
 Target modules/areas:
 - pipeline integration flow
 - UI behavior augmentations
 - traceability checks/document validators (if test-backed)
 - [ ] Scaffold new/adjusted test files/classes/methods only
 - [ ] Keep one-line intent docstrings
 - [ ] Keep behavior-focused names
 - [ ] Run: `uv run pytest --collect-only -q`
 ## Phase C — Fill phase (pytest-fill-scaffold resources)
 - [ ] Fill scaffolded methods with deterministic setup/assertions
 - [ ] Preserve scaffold names/hierarchy/docstrings
 - [ ] Add/adjust fixtures at nearest useful scope
 - [ ] Keep DB tests in `integration`; pure helper tests in `unit`
 ### Required coverage additions
 #### Pipeline integration
 - [ ] Upload service creates document/job and file path persists
 - [ ] Worker success path creates transcript and terminal status
 - [ ] Worker failure path persists error detail and terminal failed status
 - [ ] Queue-empty behavior remains stable (`False` return / no side effects)
 #### UI behavior (practical, testable boundaries)
 - [ ] Upload helper flow success and UploadError surfacing
 - [ ] Jobs data helpers return stable normalized view models
 - [ ] Refresh/detail fallback behavior for missing/invalid job IDs
 #### Traceability
 - [ ] Every in-scope MVP REQ has at least one mapped test/assertion point
 - [ ] Document and/or enforce mapping consistency
 ## Phase D — External lane stability
 - [ ] Keep real-image external tests isolated under `@pytest.mark.external`
 - [ ] Ensure no external test leaks into default runs
 - [ ] Confirm artifact capture behavior remains stable
 ## Phase E — Quality gates and workflow
 - [ ] Confirm logging/lifecycle startup tests still pass after changes
 - [ ] (If enabled) add/update lint/type check commands in docs:
  - [ ] Ruff lane (if configured)
  - [ ] typing lane (if configured)
 - [ ] Optionally add VS Code task aliases for test lanes (non-blocking)
 ---
 ## Marker and Fixture Strategy
 - `unit`: pure logic, helper behavior, formatting/normalization
 - `integration`: DB + service + app lifecycle contracts
 - `external`: live provider/real image checks only
 Fixture policy:
 - Prefer reusable fixtures in `tests/conftest.py` only when broadly shared
 - Use subtree/local fixtures for domain-specific setup
 - Keep setup explicit and readable
 ---
 ## Validation Sequence (strict)
 - [ ] `uv run pytest --collect-only -q`
 - [ ] `uv run pytest -m unit -q`
 - [ ] `uv run pytest -m integration -q`
 - [ ] `uv run pytest -m "not external" -q`
 - [ ] `uv run pytest tests/integration/test_pipeline_flow.py -q` *(if added)*
 - [ ] `uv run pytest tests/ui/test_upload_page.py -q`
 - [ ] `uv run pytest tests/ui/test_jobs_page.py -q`
 - [ ] `uv run pytest -q`
 Optional external verification:
 - [ ] `uv run pytest -m external -q`
 ---
 ## Guardrails
 - Do not rename/re-nest scaffolded tests during fill unless explicitly requested.
 - Do not broaden external dependencies in default lane.
 - Do not add flaky timing-based assertions; keep deterministic boundaries.
 - Keep business logic out of UI tests; test through service/helper boundaries.
 - Preserve one-way dependency direction in test setup patterns.
 ---
 ## Definition of Done (Step 6)
 - [ ] MVP requirement coverage is explicitly traceable
 - [ ] Deterministic lanes (`unit` + `integration`) are stable and green
 - [ ] External lane remains opt-in and green when enabled
 - [ ] Pipeline success/failure lifecycle paths are verified end-to-end
 - [ ] UI helper/state behavior has explicit success/error assertions
 - [ ] Full suite passes with `uv run pytest -q`
 - [ ] Verification evidence is captured in implementation report
 ---
 ## PR Checklist (Step 6)
 ### Implementation
 - [ ] Added/updated test files per scoped gaps
 - [ ] Added REQ traceability mapping
 - [ ] Kept default lanes deterministic
 - [ ] Preserved scaffold invariants during fill
 ### Testing (MCP-compliant)
 - [ ] Used scaffold prompt flow first
 - [ ] Used fill prompt flow second
 - [ ] Preserved naming/docstrings/hierarchy
 - [ ] Marker usage documented (`unit`, `integration`, `external`)
 ### Evidence
 - [ ] Collected command outputs in strict order
 - [ ] Listed files changed
 - [ ] Listed MCP resources used and why
 - [ ] Noted residual risks/open questions (if any)
@@ -1,134 +0,0 @@
 ## Step 7 Results: Error Handling Standardization and Operational Visibility
 ## Summary
 Step 7 was implemented across the MVP runtime boundaries with a shared error taxonomy, actionable UI error surfacing, worker failure normalization, and API error envelope handling.
 All required validation gates in `docs/step7.md` were executed and passed.
 ---
 ## Scope Delivered
 ### Implemented
 - Shared application error contract and taxonomy
 - Service-layer error normalization (upload + transcription)
 - UI error presentation helpers with suggested actions and error references
 - Worker failure persistence format with category/suggestion/error_id markers
 - API exception handlers for structured error responses
 - Targeted tests for new error contract behavior
 ### Not implemented in this step
 - External lane execution (`-m external`) was not required for Step 7 completion and was not run in this pass.
 ---
 ## Files Added
 - `src/transcription/errors.py`
 - `src/transcription/api/errors.py`
 - `src/transcription/ui/error_presenter.py`
 - `tests/test_errors.py`
 - `tests/api/test_error_responses.py`
 - `docs/step7.md`
 ## Files Updated
 - `src/transcription/app.py`
 - `src/transcription/services/upload.py`
 - `src/transcription/services/transcription.py`
 - `src/transcription/ui/upload_page.py`
 - `src/transcription/ui/jobs_page.py`
 - `src/transcription/worker.py`
 - `tests/services/test_upload.py`
 - `tests/services/test_transcription.py`
 - `tests/services/test_worker.py`
 - `tests/integration/test_pipeline_flow.py`
 - `uv.lock`
 ---
 ## Implementation Notes by Phase
 ### Phase A/B (Foundation)
 - Added `ErrorCategory` enum and `AppError` base type in `src/transcription/errors.py`.
 - Added helper utilities:
  - `new_error_id()`
  - `build_error_envelope(...)`
  - `classify_unexpected_error(...)`
  - `format_error_detail(...)`
 ### Phase C (Service/Provider normalization)
 - `UploadError` now extends `AppError` and includes category/suggestion/retriable metadata.
 - `PromptLoadError` and `TranscriptionError` now extend `AppError`.
 - Provider failures are mapped with deterministic category semantics (auth/payload/provider-failure cases).
 ### Phase D (UI visibility)
 - Added `src/transcription/ui/error_presenter.py`.
 - Upload and jobs pages now use centralized UI error rendering and summary helpers.
 - UI error paths now include more visible/actionable guidance and reference IDs.
 ### Phase E (Worker failure handling)
 - Worker now normalizes exception handling into structured persisted `error_detail` strings with:
  - category marker
  - suggestion marker
  - error_id marker
 - Logging now includes category/error_id context in failure paths.
 ### Phase F (API envelope)
 - Added `src/transcription/api/errors.py` and registered handlers in app factory.
 - AppError and unexpected exceptions now serialize to stable API envelopes with mapped status codes.
 ---
 ## Validation Commands and Outcomes
 All commands were executed with `uv run python -m pytest ...` and completed successfully.
 1. `uv run python -m pytest tests/test_errors.py -q` ✅
 2. `uv run python -m pytest tests/services/test_upload.py -q` ✅
 3. `uv run python -m pytest tests/services/test_transcription.py -q` ✅
 4. `uv run python -m pytest tests/providers/test_openrouter.py -q` ✅
 5. `uv run python -m pytest tests/services/test_worker.py -q` ✅
 6. `uv run python -m pytest tests/integration/test_pipeline_flow.py -q` ✅
 7. `uv run python -m pytest tests/api/test_error_responses.py -q` ✅
 8. `uv run python -m pytest tests/ui/test_upload_page.py -q` ✅
 9. `uv run python -m pytest tests/ui/test_jobs_page.py -q` ✅
 10. `uv run python -m pytest -m "not external" -q` ✅
 11. `uv run python -m pytest --collect-only -q` ✅
 12. `uv run python -m pytest -m unit -q` ✅
 13. `uv run python -m pytest -m integration -q` ✅
 14. `uv run python -m pytest tests/integration/test_pipeline_flow.py -q` ✅
 15. `uv run python -m pytest tests/ui/test_upload_page.py -q` ✅
 16. `uv run python -m pytest tests/ui/test_jobs_page.py -q` ✅
 17. `uv run python -m pytest -q` ✅
 Observed warning (non-blocking): Starlette/FastAPI TestClient deprecation warning related to `httpx` package naming.
 ---
 ## Policy Alignment Check (`docs/error_handling.md`)
 Aligned items:
 - Stable taxonomy categories are implemented.
 - Unexpected errors are normalized.
 - User-facing UI paths include actionable guidance and references.
 - Worker persistence includes trace-friendly failure detail.
 - API error responses are structured and category-aware.
 Follow-up candidates:
 - Add richer UI tests that validate rendered suggested-action content end-to-end (current tests focus helper/service contracts).
 - Consider typed storage fields for error metadata instead of packed `error_detail` strings in a future schema revision.
 ---
 ## Step 7 Definition of Done Status
 - [x] Shared error taxonomy implemented across MVP layers
 - [x] GUI error paths upgraded for visibility/actionability
 - [x] Worker failure persistence and log context standardized
 - [x] API error envelope handling added and tested
 - [x] Phase-level and full-suite validation gates passed
 - [x] Results documented in this report
 Step 7 is complete.
@@ -1,267 +0,0 @@
 ## Step 7: Error Handling Standardization and Operational Visibility
 ## Objective
 Apply the canonical error policy from `docs/error_handling.md` to the MVP implementation so failures are:
 - consistently classified
 - visibly surfaced in the GUI
 - paired with suggested corrective actions
 - traceable through logs via error reference IDs
 - validated through deterministic tests after each phase
 This step extends MVP hardening by converting current ad hoc exception behavior into a stable cross-layer contract.
 ---
 ## Scope
 ### In scope
 - Introduce a shared application error contract and taxonomy implementation
 - Normalize service/provider exceptions into taxonomy categories
 - Improve GUI error visibility and suggested-action UX
 - Standardize worker failure persistence and logging context
 - Add API error-envelope policy hooks for current/future endpoints
 - Add targeted tests and phase-level/full-suite validation gates
 ### Out of scope
 - Major architecture rewrites (distributed queue, multi-service decomposition)
 - Post-MVP feature expansion unrelated to error handling
 - Full observability platform rollout (tracing backends, APM)
 ---
 ## Policy Source of Truth
 - Canonical policy document: `docs/error_handling.md`
 - If implementation and policy diverge, policy is authoritative and code/tests must be updated.
 ---
 ## Planned Deliverables
 ### Runtime code
 - `src/transcription/errors.py` *(new shared contract module)*
 - `src/transcription/ui/error_presenter.py` *(new UI error rendering helper)*
 - Updates to:
  - `src/transcription/services/upload.py`
  - `src/transcription/services/transcription.py`
  - `src/transcription/providers/openrouter.py`
  - `src/transcription/worker.py`
  - `src/transcription/ui/upload_page.py`
  - `src/transcription/ui/jobs_page.py`
  - `src/transcription/api/*` *(as needed for envelope/handlers)*
 ### Tests
 - `tests/test_errors.py` *(new shared error contract tests)*
 - updates/additions in:
  - `tests/services/test_upload.py`
  - `tests/services/test_transcription.py` *(add if missing)*
  - `tests/providers/test_openrouter.py`
  - `tests/services/test_worker.py`
  - `tests/ui/test_upload_page.py`
  - `tests/ui/test_jobs_page.py`
  - `tests/api/test_error_responses.py` *(new, if API handlers added)*
 ### Documentation
 - Update `docs/error_handling.md` only if implementation reveals policy gaps
 - Capture validation evidence in a Step 7 results artifact (`docs/step7-results.md`)
 ---
 ## Design and Policy Decisions
 1. **Stable taxonomy contract**
   - Use policy categories as stable identifiers (`validation_error`, `user_input_error`, etc.).
 2. **Actionable UX is mandatory**
   - User-visible errors must include a suggested course of action.
 3. **Traceability by default**
   - Non-trivial errors include an `error_id` in both logs and user-facing output.
 4. **Safe surface / rich logs**
   - UI/API show safe summaries; logs retain diagnostic detail and traceback.
 5. **Deterministic verification cadence**
   - Targeted tests after each change batch, then phase-level regression gates.
 ---
 ## Implementation Plan + Checklist
 ## Phase A — Baseline Validation and Gap Confirmation
 - [ ] Run baseline tests before changes
 - [ ] Record baseline outputs and any known flaky behavior
 - [ ] Confirm current behavior against `docs/error_handling.md` requirements
 ### Validation gate
 - [ ] `uv run pytest -m "not external" -q`
 - [ ] `uv run pytest -q`
 ## Phase B — Shared Error Contract Foundation
 - [ ] Add `src/transcription/errors.py` with:
  - [ ] stable category enum
  - [ ] base `AppError` (category/message/suggestion/error_id/retriable)
  - [ ] helpers for error-id generation and fallback classification
 - [ ] Keep category names aligned with `docs/error_handling.md`
 ### Tests
 - [ ] Add `tests/test_errors.py`
  - [ ] category stability assertions
  - [ ] error_id creation behavior
  - [ ] fallback classification for unexpected exceptions
 ### Validation gate
 - [ ] `uv run pytest tests/test_errors.py -q`
 - [ ] `uv run pytest -m "not external" -q`
 ## Phase C — Service and Provider Normalization
 - [ ] Refactor upload service exceptions to shared taxonomy
 - [ ] Refactor transcription service exceptions to shared taxonomy
 - [ ] Normalize provider adapter failures into deterministic categories
 - [ ] Preserve causal chaining (`raise ... from exc`)
 ### Tests
 - [ ] Extend `tests/services/test_upload.py`:
  - [ ] empty payload category/suggestion
  - [ ] unsupported extension category/suggestion
  - [ ] persistence failure category mapping
 - [ ] Add/extend `tests/services/test_transcription.py`:
  - [ ] missing/empty prompt behavior
  - [ ] unsupported file type behavior
  - [ ] provider failure mapping behavior
 - [ ] Extend `tests/providers/test_openrouter.py`:
  - [ ] auth error mapping
  - [ ] malformed response mapping
 ### Validation gate
 - [ ] `uv run pytest tests/services/test_upload.py -q`
 - [ ] `uv run pytest tests/services/test_transcription.py -q`
 - [ ] `uv run pytest tests/providers/test_openrouter.py -q`
 - [ ] `uv run pytest -m "not external" -q`
 ## Phase D — GUI Visibility and Suggested Actions
 - [ ] Add `src/transcription/ui/error_presenter.py`
 - [ ] Update upload/jobs pages to use centralized error presentation
 - [ ] Ensure GUI surfaces:
  - [ ] user-safe message
  - [ ] suggested action
  - [ ] error reference ID
  - [ ] optional technical details panel
 - [ ] Replace raw `str(exc)` UX where policy requires safer messaging
 ### Tests
 - [ ] Extend `tests/ui/test_upload_page.py` for actionable error UX paths
 - [ ] Extend `tests/ui/test_jobs_page.py` for refresh/detail error guidance
 - [ ] Add `tests/ui/test_error_presenter.py` *(optional but recommended)*
 ### Validation gate
 - [ ] `uv run pytest tests/ui/test_upload_page.py -q`
 - [ ] `uv run pytest tests/ui/test_jobs_page.py -q`
 - [ ] `uv run pytest -m "not external" -q`
 ## Phase E — Worker Failure Persistence and Logging Context
 - [ ] Update worker failure handling to classify errors before persistence
 - [ ] Ensure failed jobs persist actionable, structured error detail
 - [ ] Add log context fields where available (`error_id`, `category`, `operation`, `job_id`)
 - [ ] Ensure retry semantics are explicit and bounded (or clearly documented as deferred)
 ### Tests
 - [ ] Extend `tests/services/test_worker.py`:
  - [ ] missing document failure contract
  - [ ] provider/transcription failure contract
  - [ ] persisted error detail includes category/suggestion/error_id markers
 - [ ] Validate integration failure flow in `tests/integration/test_pipeline_flow.py`
 ### Validation gate
 - [ ] `uv run pytest tests/services/test_worker.py -q`
 - [ ] `uv run pytest tests/integration/test_pipeline_flow.py -q`
 - [ ] `uv run pytest -m "not external" -q`
 ## Phase F — API Error Envelope Alignment (Current + Future Routes)
 - [ ] Add shared API error serialization utilities/handlers (as needed)
 - [ ] Ensure API responses can include:
  - [ ] `error_id`
  - [ ] `category`
  - [ ] `message`
  - [ ] `suggestion`
  - [ ] `timestamp`
 - [ ] Map categories to HTTP status guidance from `docs/error_handling.md`
 ### Tests
 - [ ] Add `tests/api/test_error_responses.py` *(if handlers added)*
 - [ ] Keep `tests/api/test_health.py` passing
 ### Validation gate
 - [ ] `uv run pytest tests/api/test_error_responses.py -q` *(if added)*
 - [ ] `uv run pytest tests/api/test_health.py -q`
 - [ ] `uv run pytest -m "not external" -q`
 ## Phase G — Final Regression and Documentation Closure
 - [ ] Reconcile implementation details with `docs/error_handling.md`
 - [ ] Update policy doc only where required by confirmed implementation learning
 - [ ] Capture execution evidence in `docs/step7-results.md`
 ### Final validation sequence (strict)
 - [ ] `uv run pytest --collect-only -q`
 - [ ] `uv run pytest -m unit -q`
 - [ ] `uv run pytest -m integration -q`
 - [ ] `uv run pytest -m "not external" -q`
 - [ ] `uv run pytest tests/integration/test_pipeline_flow.py -q`
 - [ ] `uv run pytest tests/ui/test_upload_page.py -q`
 - [ ] `uv run pytest tests/ui/test_jobs_page.py -q`
 - [ ] `uv run pytest -q`
 Optional:
 - [ ] `uv run pytest -m external -q`
 ---
 ## Guardrails
 - Do not weaken user-facing clarity to expose raw internals.
 - Do not introduce silent exception swallowing.
 - Do not break category-name stability without policy update.
 - Do not merge phase changes without passing that phase validation gate.
 - Keep targeted tests fast and deterministic; isolate external-provider tests under `external`.
 ---
 ## Definition of Done (Step 7)
 - [ ] Shared error taxonomy is implemented and used across MVP layers
 - [ ] GUI error experiences are visible, actionable, and traceable
 - [ ] Worker persists and logs failure context consistently
 - [ ] API error contract path is aligned for current/future endpoints
 - [ ] Phase-by-phase test gates pass
 - [ ] Full suite remains green (`uv run pytest -q`)
 - [ ] Step 7 results are documented with evidence
 ---
 ## PR Checklist (Step 7)
 ### Implementation
 - [ ] Added shared error contract module
 - [ ] Updated service/provider/worker/UI error handling paths
 - [ ] Added actionable GUI guidance for user-visible failures
 - [ ] Added error reference IDs for traceability
 ### Testing
 - [ ] Added/updated tests per phase scope
 - [ ] Ran targeted phase tests after each change batch
 - [ ] Ran `not external` regression at each phase boundary
 - [ ] Ran full suite before closeout
 ### Documentation and Evidence
 - [ ] `docs/error_handling.md` reviewed for alignment
 - [ ] `docs/step7-results.md` includes executed command outputs
 - [ ] Residual risks and deferred items explicitly recorded
@@ -1,209 +0,0 @@
 ## MVP Definition: Historical Document Transcription System
 ### 1. MVP Objective
 Deliver the thinnest possible end-to-end vertical slice — a user uploads an image of a document, the system transcribes it via the OpenRouter Python SDK, and the user reads the resulting transcript — with just enough persistence and structure to validate the core value proposition: *can AI-driven transcription, guided by curated prompts, produce useful verbatim transcripts of historical family documents?*  
 The MVP deliberately defers full-text search, export, revision history, MongoDB, and timeline assembly. These are additive features that don't need validation before the core transcription loop is proven.
 ---
 ### 2. Core User Story
 *As a family historian, I can upload a photo of a historical document, wait for it to be transcribed, and read the verbatim transcript — so I can evaluate whether this system will work for my thousands of documents.*
 ---
 ### 3. In-Scope Requirements (from ```requirements.md```)  
 | Requirement | ID | MVP Rationale |
 | --- |  --- |  --- |
 | End-to-end transcription with lifecycle state | REQ-0 | This is the MVP. |
 | Upload one or more images from the web UI | REQ-1 | Core entry point. MVP supports single-image upload (multi-image is a stretch goal). |
 | Asynchronous processing → transcription or failure | REQ-2 | Validates the AI transcription pipeline. |
 | Persist and expose job states (queued → processing → transcribed/failed) | 	REQ-3 | Minimum feedback loop for the user. |
 | Persist transcription output and failure details | REQ-4 | User must be able to read the result. |
 | UI views for status and transcript reading | REQ-5 | The user needs to see what happened. |
 | Background processing to keep UI responsive | REQ-6 | Essential for usability during long AI calls. |
 | Centralized config and logging at startup | REQ-8 | Small effort, high payoff for debugging. |
 | Store transcription prompts as Markdown files | REQ-12 | Core to the Prompt Curation Policy in intent.md. Start with a single prompt file. |
 ### Deferred to Post-MVP
 | Requirement | ID | Why Deferred |
 | ---  | --- | --- |
 | Lifespan-owned runtime resources (engine, session factory, etc.) | REQ-7 | Important for production robustness, but a simple global or module-level setup is adequate for MVP validation. |
 | Docker Compose (app + PostgreSQL + optional MongoDB) | REQ-9 | MVP runs locally with SQLite to eliminate container overhead during rapid iteration. PostgreSQL migration is Stage 1 hardening. |
 | Explicit, opt-in schema bootstrap | REQ-10 | MVP uses auto-create-tables at startup (SQLModel create_all). Production schema discipline comes after the model stabilizes. |
 | Service-backed persistence for core data | REQ-11 | MVP uses a thin repository layer over SQLite. Full service abstraction follows once the domain model is proven. |
 ---
 ### 4. MVP Feature Set
 #### Feature 1: Document Upload (UI)
 * A single NiceGUI page with a file-upload widget (accepts .jpg, .png, .tiff, .pdf).
 * On upload: save the file to a local uploads/ directory, create a Document record, create a Job record with status queued.
 * Minimal metadata capture: original filename, upload timestamp.
 #### Feature 2: Asynchronous Transcription Worker
 * An in-process background worker (Python asyncio task or BackgroundTasks) that:
    1. Picks up queued jobs.
    2. Transitions status to processing.
    3. Sends the image + the curated Markdown prompt to an AI vision model via OpenRouter.
    4. On success: saves the transcript text, transitions to transcribed.
    5. On failure: saves the error detail, transitions to failed.
 #### Feature 3: Transcription Prompt (Markdown Asset)
 * A single Markdown file (prompts/transcribe_document.md) encoding the verbatim transcription rules from intent.md (the Document Issues table, scholarly guidelines, etc.).
 * The worker reads this file at invocation time and injects it as the system/user prompt.
 #### Feature 4: Job Status & Transcript Viewer (UI)
 * A job list page showing all jobs with their current status (queued / processing / transcribed / failed).
 * A transcript detail page showing:
    * The original uploaded image (rendered inline).
    * The transcription text (or the failure reason).
    * Timestamp metadata.
 #### Feature 5: Minimal Persistence (SQLite + SQLModel)
 * Three tables/models:
    * Document: id, filename, file_path, uploaded_at.
    * Job: id, document_id (FK), status, created_at, updated_at.
    * Transcript: id, job_id (FK), text, error_detail, created_at.
 * SQLite database file stored locally. Auto-created on first startup.
 #### Feature 6: Centralized Configuration
 * A single config.py (or Pydantic BaseSettings) loading:
    * PROVIDER (fixed to openrouter for MVP)
    * OPENROUTER_API_KEY (required)
    * PROVIDER_MODEL (default: OpenRouter model slug for vision transcription)
    * OPENROUTER_HTTP_REFERER (optional; app attribution)
    * OPENROUTER_APP_TITLE (optional; app attribution)
    * DATABASE_URL (default: sqlite:///./transcription.db)
    * UPLOAD_DIR (default: ./uploads)
    * PROMPT_DIR (default: ./prompts)
 #### Feature 7: MVP Dependency Baseline (OpenRouter-Centric)
 * Runtime dependencies:
    * openrouter (official OpenRouter Python SDK)
    * pydantic
    * pydantic-settings
    * sqlmodel
 * Explicitly out of MVP runtime dependencies:
    * google-genai (deferred until/if Gemini is introduced post-MVP)
 ---
 ### 5. MVP Architecture (Simplified)
 ```Apply
 ┌─────────────────────────────────────────────┐
 │              NiceGUI Web UI                 │
 │  ┌──────────────┐   ┌───────────────────┐   │
 │  │ Upload Page  │   │ Jobs / Transcript │   │
 │  └──────┬───────┘   └───────┬───────────┘   │
 │         │                   │               │
 │         ▼                   ▼               │
 │     ┌───────────────────────────┐           │
 │     │   Application Service     │           │
 │     │  (upload, job lifecycle)  │           │
 │     └─────┬─────────────┬───────┘           │
 │           │             │                   │
 │     ┌─────▼─────┐ ┌─────▼───────────────┐   │
 │     │ SQLite DB │ │ Background Worker   │   │
 │     │ (SQLModel)│ │ → AI Vision Provider│   │
 │     └───────────┘ └─────────────────────┘   │
 │                          │                  │
 │                    ┌─────▼──────┐           │
 │                    │ prompts/   │           │
 │                    │ *.md files │           │
 │                    └────────────┘           │
 └─────────────────────────────────────────────┘
 ```
 ---
 #### 6. Proposed File Structure
 ```Apply
 project-root/
 ├── docs/                          # (existing)
 ├── prompts/
 │   └── transcribe_document.md     # curated transcription prompt
 ├── src/
 │   └── transcription/
 │       ├── __init__.py
 │       ├── app.py                 # FastAPI + NiceGUI app entrypoint
 │       ├── config.py              # Pydantic BaseSettings
 │       ├── models.py              # SQLModel: Document, Job, Transcript
 │       ├── db.py                  # engine, session, create_all
 │       ├── providers/
 │       │   ├── __init__.py
 │       │   ├── base.py            # provider interface (transcribe contract)
 │       │   ├── openrouter.py      # OpenRouter via official Python SDK
 │       ├── services/
 │       │   ├── __init__.py
 │       │   ├── upload.py          # save file + create records
 │       │   └── transcription.py   # call provider, update job
 │       ├── worker.py              # background job loop
 │       └── ui/
 │           ├── __init__.py
 │           ├── upload_page.py     # NiceGUI upload page
 │           └── jobs_page.py       # NiceGUI job list + detail
 ├── tests/
 │   ├── test_models.py
 │   ├── test_upload.py
 │   └── test_transcription.py
 ├── pyproject.toml
 └── README.md
 ```
 ---
 #### 7. MVP Validation Criteria
 The MVP is considered validated when:
 1. ✅ A user can upload an image of a document through the browser.
 2. ✅ The system asynchronously sends the image to the configured AI vision model with the curated prompt.
 3. ✅ The transcript (or failure reason) is persisted and visible in the UI.
 4. ✅ The transcription follows verbatim scholarly rules defined in intent.md (spot-checked by the user on real family documents).
 5. ✅ The transcription prompt is stored as a standalone Markdown file and can be edited without code changes.
 6. ✅ Job status transitions are visible: queued → processing → transcribed/failed.
 ---
 ### 8. Key Feedback Questions the MVP Should Answer
 These are the real unknowns this MVP exists to resolve:
 | #	| Question | How We Learn |
 | --- | --- | --- |
 | 1	| Is AI transcription quality good enough for this document corpus?	| User reviews 20–50 real transcriptions against originals. |
 | 2	| Does the verbatim prompt produce scholarly-quality output, or does it need major rework?	| Compare output to the Document Issues table rules in intent.md. |
 | 3	| What document types are hardest (old cursive, faded ink, pencil, postcards)?	| Track which uploads produce failed or low-quality results. |
 | 4	| Is single-image upload sufficient, or is batch upload needed early?	| User friction during real scanning sessions. |
 | 5	| What metadata is missing that the user wishes they could capture at upload time?	| User feedback after processing real batches. |
 ---
 #### 9. What Comes After MVP (Immediate Post-MVP)
 Once the core transcription loop is validated, the next priorities (aligned to Architecture Stage 1) are:
 1. **Multi-image upload** — process a batch from a scanning session.
 2. **PostgreSQL migration** — swap SQLite for containerized PostgreSQL (REQ-9, REQ-10).
 3. **Revision history** — allow the user to edit/correct transcripts with immutable version tracking.
 4. **Full-text search** — search across all accepted transcripts.
 5. **Repository/service layer formalization** — proper ports/adapters as the domain model stabilizes.
 6. **Docker Compose deployment** — containerize the app for reproducible operation.
 ---
 #### 10. Implementation Approach
 Recommended build order for the MVP (each step produces a testable increment):
 | Step | Deliverable | Validates |
 | --- | --- | --- |
 | 1 | config.py + models.py + db.py — data layer with SQLite | Schema and config foundation |
 | 2 | prompts/transcribe_document.md — curated prompt from intent.md | Prompt asset pattern |
 | 3 | services/transcription.py + providers/ — call AI vision provider with prompt + image | Core AI integration |
 | 4 | services/upload.py + worker.py — upload handling + background job loop | End-to-end pipeline (CLI-testable) |
 | 5 | ui/upload_page.py + ui/jobs_page.py — NiceGUI pages | User-facing interface |
 | 6 | tests/ — unit + integration tests	Automated verification |
 This MVP is deliberately narrow: **one prompt, one provider (OpenRouter), one user, one image at a time, SQLite, no containers**. Every omission is intentional — the goal is to get real family documents through the transcription pipeline as fast as possible and let the quality of the output guide every subsequent decision.
@@ -0,0 +1,42 @@
 # Document Transcription System Requirements (Version 2)
 This document captures the **Version 2 baseline requirements** for the production implementation.
 ## Requirements Model
 | ID | Category | Requirement | Verify Method |
 | --- | --- | --- | --- |
 | REQ-0 | System | Provide end-to-end multi-page document transcription with persistent, inspectable async job states. | demonstration |
 | REQ-1 | Functional | Allow users to upload folders or multi-image batches as sequential `Source` pages under a `Document`. | test |
 | REQ-2 | Functional | Process multi-page jobs asynchronously using an `asyncio` worker pool bounded by rate limits. | test |
 | REQ-3 | Functional | Persist page-level execution outputs (`raw_transcription`, `ai_metadata`, `raw_api_response`) on `JobSource`. | test |
 | REQ-4 | Functional | Support job states (`queued`, `processing`, `completed`, `partial_success`, `failed`) and page states (`pending`, `transcribed`, `failed`). | inspection |
 | REQ-5 | Functional | Allow users to manage historical `Person` records and link multiple authors/recipients to a `Document` via `DocumentPerson`. | test |
 | REQ-6 | Functional | Maintain immutable original machine output on `Source.raw_transcription` while permitting inline human edits on `Source.revised_text`. | test |
 | REQ-7 | Data Constraint | Store all persistent domain data in PostgreSQL using native `UUID`, `TIMESTAMPTZ`, and `JSONB` columns. | inspection |
 | REQ-8 | Data Constraint | Validate all API requests, database rows, and JSONB structures using Pydantic V2 schemas. | test |
 | REQ-9 | Interface | Render multi-page transcriptions sequentially by `page_number` in the web UI with author/recipient metadata. | demonstration |
 | REQ-10 | Operations | Allow operators to retry only failed pages for jobs in a `partial_success` state. | test |
 ## Element Satisfaction Mapping
 * **UI (NiceGUI):** Satisfies REQ-1, REQ-5, REQ-6, REQ-9, REQ-10.
 * **API (FastAPI):** Satisfies REQ-1, REQ-4, REQ-5, REQ-8.
 * **WORKER (asyncio):** Satisfies REQ-2, REQ-3, REQ-4, REQ-10.
 * **PERSISTENCE (PostgreSQL):** Satisfies REQ-3, REQ-6, REQ-7.
 * **MODELS (Pydantic V2):** Satisfies REQ-8.
 ---
 ## Related Local References
 - [System Overview](index_v2.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v2.md)
 - System Requirements (this document)
 - [Data model](schema_v2.md)
 - [Error Handling Policy](error_handling_v2.md)
 - [Implementation Plan](implementation_plan_v2.md)
@@ -0,0 +1,136 @@
 # Database Schema (Version 2)
 This document describes the PostgreSQL relational schema for the transcription platform. It incorporates multi-image batch orchestration via `asyncio`, page-level execution tracking, many-to-many author/recipient attribution, and JSONB document storage for AI vision outputs.
 All primary and foreign keys are PostgreSQL native UUIDs (`gen_random_uuid()`).
 ## Entity Relationship Diagram
 ```mermaid
 erDiagram
    PERSON {
        UUID id PK
        TEXT full_name
        TEXT display_name
        TEXT maiden_name
        DATE birth_date
        TEXT birth_date_raw
        TEXT birth_place
        DATE death_date
        TEXT death_date_raw
        TEXT death_place
        TEXT biography
        TEXT portrait_path
        JSONB metadata
        TIMESTAMPTZ created_at
        TIMESTAMPTZ updated_at
    }
    DOCUMENT {
        UUID id PK
        TEXT name
        TEXT document_type
        DATE document_date
        TEXT document_date_raw
        TEXT location_created
        TEXT notes
        TEXT archive_identifier
        TIMESTAMPTZ created_at
        TIMESTAMPTZ updated_at
    }
    DOCUMENT_PERSON {
        UUID id PK
        UUID document_id FK
        UUID person_id FK
        VARCHAR role "author | recipient"
        TIMESTAMPTZ created_at
    }
    JOB {
        UUID id PK
        UUID document_id FK
        VARCHAR status "queued | processing | completed | partial_success | failed"
        INTEGER retry_count
        TEXT provider
        TEXT model
        TEXT prompt_name
        TIMESTAMPTZ date_created
        TIMESTAMPTZ date_updated
    }
    SOURCE {
        UUID id PK
        UUID document_id FK
        INTEGER page_number
        TEXT upload_name
        TEXT filename
        TEXT file_path
        TEXT raw_transcription
        TEXT revised_text
        TIMESTAMPTZ date_uploaded
        TIMESTAMPTZ date_revised
    }
    JOB_SOURCE {
        UUID id PK
        UUID job_id FK
        UUID source_id FK
        VARCHAR status "pending | transcribed | failed"
        TEXT raw_transcription
        JSONB ai_metadata
        JSONB raw_api_response
        TEXT error_detail
        TIMESTAMPTZ executed_at
    }
    DOCUMENT ||--o{ DOCUMENT_PERSON : "has_people"
    PERSON ||--o{ DOCUMENT_PERSON : "participates_in"
    DOCUMENT ||--o{ JOB : "has_jobs"
    DOCUMENT ||--o{ SOURCE : "contains_pages"
    JOB ||--o{ JOB_SOURCE : "executes"
    SOURCE ||--o{ JOB_SOURCE : "processed_in"
 ```
 ## Domain Invariants & Rules
 ### Page-Level Execution & AI Outputs
 * Execution Granularity: Every single image execution by an AI model produces a dedicated record in job_source.
 * Point-in-Time Auditability: job_source.raw_api_response stores the unparsed REST response envelope for that specific image page call. job_source.ai_metadata stores spatial bounding boxes, token usage, and layout details for that specific image page call.
 * Active Output Caching: Upon successful completion of an image call, source.raw_transcription is updated with the latest output string from job_source.raw_transcription for fast UI rendering.
 ### Page Ordering & Revisions
 * Sequential Integrity: source.page_number dictates page ordering within a document. Reads assembling full documents must query ORDER BY source.document_id, source.page_number ASC.
 * Inlined Human Corrections: User edits occur at the page level inside source.revised_text. source.raw_transcription remains immutable. If source.revised_text is non-null, application frontends must render source.revised_text.
 ### Async Job Lifecycle & Failure Isolation
 * Batch Orchestrator: A job represents an overarching execution run across one or more source images belonging to a document.
 * Isolated Failures: API requests run concurrently (e.g., using asyncio). A failure on page 3 does not invalidate successful transcriptions on page 1 or 2.
 * Job States:
    - queued: Created, awaiting worker execution.
    - processing: Concurrent HTTP tasks actively running.
    - completed: 100% of linked job_source tasks succeeded (transcribed).
    - partial_success: At least one job_source succeeded and at least one failed.
    - failed: All linked job_source tasks failed or a job-level runtime error occurred.
 ### Attribution & Person Roles
 * Multi-Person Roles: Documents support zero, one, or many authors and recipients linked via document_person.
 * Role Uniqueness: (document_id, person_id, role) must be unique to prevent duplicate role tagging.
 ---
 ## Related Local References
 - [System Overview](index_v2.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v2.md)
 - [System Requirements](requirements_v2.md)
 - Data model (this document)
 - [Error Handling Policy](error_handling_v2.md)
 - [Implementation Plan](implementation_plan_v2.md)
@@ -0,0 +1,92 @@
 ```mermaid
 block-beta
  columns 3
  %% UI Component Column
  block:UI["UI COMPONENTS / WIREFRAME"]:1
    columns 1
    block:HeaderUI["Header & Nav"]:1
      columns 1
      h_title["[Text] Document Name & Type"]
      h_date["[Text] Date & Origin Location"]
    end
    block:EditorUI["Page Transcription Editor"]:1
      columns 1
      ed_img["[Image Viewer] Source Image"]
      ed_page["[Badge] Page Number"]
      ed_raw["[Read-Only] AI Raw Output"]
      ed_rev["[Textarea] Human Revised Text"]
    end
    block:PeopleUI["Attribution Sidebar"]:1
      columns 1
      p_author["[List] Authors (Full Name)"]
      p_recip["[List] Recipients (Full Name)"]
      p_bio["[Card] Person Biography & Dates"]
    end
    block:JobUI["AI Processing Drawer"]:1
      columns 1
      j_status["[Badge] Job Status"]
      j_model["[Text] Provider & Model"]
      j_tokens["[JSON View] AI Token Usage"]
    end
  end
  %% Directional Mapping / Connectors
  block:FLOW["MAPPING / FLOW"]:1
    columns 1
    f1["Reads / Updates -->"]
    f2["Renders Active Page -->"]
    f3["Joins via Role -->"]
    f4["Executes & Logs -->"]
  end
  %% Postgres Schema Column
  block:DB["POSTGRES SQL SCHEMA"]:1
    columns 1
    block:DocTbl["Table: document"]:1
      columns 1
      d_id["id : UUID (PK)"]
      d_name["name : TEXT"]
      d_type["document_type : TEXT"]
      d_date["document_date : DATE"]
    end
    block:SrcTbl["Table: source"]:1
      columns 1
      s_id["id : UUID (PK)"]
      s_page["page_number : INT"]
      s_path["file_path : TEXT"]
      s_raw["raw_transcription : TEXT"]
      s_rev["revised_text : TEXT"]
    end
    block:PersonTbl["Table: person & document_person"]:1
      columns 1
      p_id["id : UUID (PK)"]
      p_name["full_name : TEXT"]
      p_role["role : 'author' | 'recipient'"]
    end
    block:JobTbl["Table: job & job_source"]:1
      columns 1
      j_id["id : UUID (PK)"]
      j_stat["status : VARCHAR"]
      j_prov["provider / model : TEXT"]
      j_meta["ai_metadata : JSONB"]
    end
  end
  %% Connections
  HeaderUI --> DocTbl
  ed_img --> s_path
  ed_page --> s_page
  ed_raw --> s_raw
  ed_rev --> s_rev
  PeopleUI --> PersonTbl
  JobUI --> JobTbl
 ```
@@ -0,0 +1,53 @@
 ```mermaid
 flowchart LR
    subgraph UI["UI Components / Wireframe"]
        direction TB
        subgraph HeaderUI["Header & Nav"]
            h_title["[Text] Document Name & Type"]
            h_date["[Text] Date & Origin Location"]
        end
        subgraph EditorUI["Page Transcription Editor"]
            ed_img["[Image Viewer] Source Image"]
            ed_page["[Badge] Page Number"]
            ed_raw["[Read-Only] AI Raw Output"]
            ed_rev["[Textarea] Human Revised Text"]
        end
        subgraph PeopleUI["Attribution Sidebar"]
            p_author["[List] Authors / Recipients"]
        end
        subgraph JobUI["AI Processing Drawer"]
            j_status["[Badge] Job Status"]
        end
    end
    subgraph DB["Postgres SQL Schema"]
        direction TB
        subgraph DocTbl["Table: document"]
            d_name["name : TEXT"]
            d_type["document_type : TEXT"]
        end
        subgraph SrcTbl["Table: source"]
            s_path["file_path : TEXT"]
            s_page["page_number : INT"]
            s_raw["raw_transcription : TEXT"]
            s_rev["revised_text : TEXT"]
        end
        subgraph PersonTbl["Table: person & document_person"]
            p_name["full_name : TEXT"]
            p_role["role : author | recipient"]
        end
        subgraph JobTbl["Table: job & job_source"]
            j_stat["status : VARCHAR"]
            j_meta["ai_metadata : JSONB"]
        end
    end
    %% Mappings
    HeaderUI --> DocTbl
    ed_img --> s_path
    ed_page --> s_page
    ed_raw --> s_raw
    ed_rev --> s_rev
    PeopleUI --> PersonTbl
    JobUI --> JobTbl
 ```
@@ -0,0 +1,54 @@
 # Transcription Methodology & Style Guide
 ## 1. Overview & Core Philosophy
 This document defines the formal transcription standard for processing historical manuscripts, letters, diaries, and printed ephemera.
 Following the principles established by Mary-Jo Kline in A Guide to Documentary Editing, this project adheres to a Strict Literal Transcription (Verbatim) model as its foundational layer. The primary goal is total textual fidelity—capturing what the author wrote, not what they intended to write—while ensuring the output remains machine-readable and indexable for downstream digital query and search systems.
 ## 2. Textual Policy
 Transcribers (human or AI) must record the exact text of the source document without silent corrections, modernizations, or stylistic smoothing except where explicitly instructed in this guide.
 * **Substantives:** Words, letter forms, structural layout, and semantic content must be recorded strictly as presented in the original document.
 * **Accidentals:** Punctuation, capitalization, misspellings, and archaic character representations must be preserved unless an explicit rule below allows for standardization.
 ## 3. Standard Transcription Rules & Markup
 The following rules map directly to editorial conventions for handling common manuscript anomalies and physical document features.
 ### 3.1 Textual Anomalies & Corrections
 | Document Feature | Rule | Standard Markup Format | Output Example |
 | --- | --- | --- | --- |
 | **Misspellings & Errors** | Retain original spelling verbatim. Insert an italicized [sic] immediately following the error. Do not correct spelling silently. | [sic] | The weather was very cold and publick [sic] business delayed. |
 | **Missing Words / Omissions** | Insert necessary words required to restore basic grammatical sense inside square brackets. | [word] | We went [to] the store to buy supplies. |
 | **Uncertain / Conjectural** | Place best hypothesis followed by a question mark inside square brackets when handwriting is doubtful. | [word?] | He went to [Boston?] yesterday to meet the governor. |
 | **Completely Illegible** | Use [illegible] for unreadable script. Use explicit damage descriptors when physical impairment prevents reading. | [illegible] or [reason] | The total cost was [illegible] dollars. or The letter ends here [remainder of page torn]. |
 | **Canceled / Struck-through** | Wrap text removed by the author inside a [deleted: ...] tag to preserve authorial revisions. | [deleted: text] | We left at [deleted: noon] one o'clock instead. |
 | **Interlineations / Additions** | Wrap text inserted above, below, or in margins into the narrative flow inside an [inserted: ...] tag. | [inserted: text] | The [inserted: red] house on the hill was abandoned. |
 ### 3.2 Typography, Characters & Layout
 | Document Feature | Rule | Standard Markup Format | Output Example |
 | --- | --- | --- | --- |
 | **Superscripts & Abbreviations** | Bring raised letters down to the main line. Optionally expand abbreviations within square brackets based on project configuration. | [expanded] | Gen^l becomes Genl or Gen[era]l. |
 | **Line-End Hyphenation** | Rejoin words split across a page or line boundary silently, dropping the soft hyphen. | Silently rejoin | Original: "estab- / lishment" becomes establishment |
 | **Capitalization** | Preserve explicit capitalization. Default to modern capitalization rules only when authorial intent is ambiguous or archaic forms confuse sentence structure. | Literal / Contextual | If a standard noun like 'Farm' is clearly capitalized, record 'Farm'. If ambiguous, default to 'farm'. |
 | **Hierarchical Outlines** | Preserve exact numbering characters (including lowercase Roman numerals or terminal 'j'). Replicate indentation levels using standard spacing. Do not correct sequence or mathematical errors. | Preserve syntax | I. Main Topic  a. Sub-point  b. Next pointIII. [sic] Third Topic |
 ### 3.3 Visual & Spatial Elements
 | Document Feature | Rule | Standard Markup Format | Output Example |
 | --- | --- | --- | --- |
 | **Non-Textual Artifacts** | Record non-textual elements (seals, stamps, sketches, physical damage) using brief descriptive text inside square brackets. | [description] | [wax notary seal attached here] or [sketch of a fort layout] |
 | **Marginalia & Addenda** | Explicitly indicate spatial transitions before transcribing content located in margins or non-standard orientations. | [location:] | [written in left margin:] Do not share this with anyone. |
 ## 4. Prompt Asset Integration
 When executing programmatic transcriptions via LLM APIs or local models, processing instructions must be packaged into single-purpose system prompts aligned with these rules.
 1. **Isolation:** Each transcription prompt file exists as an independent Markdown asset in the repository.
 2. **Deterministic Output:** Prompts must explicitly instruct models to follow the markup standards in Section 3 without introducing conversational wrappers, extra prose, or structural markdown outside the source document's native layout.
 3. **Iterative Scoping:** Rule modifications or edge-case additions must be submitted as isolated delta commits to individual prompt files to maintain clean revision tracking.
@@ -1,4 +1,4 @@
-# Architecture
+ # System Architecture (Version 1)
 This document describes the production architecture of the personal historical-document transcription system. The system is intentionally optimized for single-user operation, low operational overhead, and clean internal boundaries that support future growth without rewrites.
@@ -17,10 +17,10 @@ The deployed system targets personal use and a corpus of several thousand docume
 Current scope includes:
- document upload and metadata capture
+- content source upload and metadata capture
 - asynchronous transcription jobs
 - prompt-library driven transcription behavior, with one Markdown file per prompt
- transcript review and revision history
+- original transcription review and optional revision review
 - full-text search over accepted transcripts
 - export of transcript data
@@ -61,7 +61,7 @@ flowchart LR
    Worker --> MG
 ```
-## Runtime Ownership And Startup Policy (V1 Step 1)
+## Runtime Ownership And Startup Policy
 The current implementation now uses explicit lifespan-owned runtime resources.
@@ -131,22 +131,31 @@ Out of scope:
 Production transcription flow:
-1. A user uploads an image or PDF through the UI or API.
+1. A user uploads one or more content sources through the UI or API.
-2. The application validates payloads and creates document and job records.
+2. The application validates payloads and creates document, source, and job records.
-3. The in-process worker dequeues the job and calls the transcription provider.
+3. The in-process worker de-queues the job and calls the transcription provider.
-4. The application persists transcript output, confidence metadata, and provenance events.
+4. The application persists original transcription output on the job, plus confidence metadata and provenance events.
 5. Job status transitions from queued to processing to transcribed or failed.
-6. The UI and API expose status, revision history, and searchable transcript text.
+6. The UI and API expose status, optional revision to original transcription, and searchable transcription text.
 ## Data Model Ownership
 System-of-record entities:
- documents and pages
+- documents and content sources
- transcription jobs and status events
+- transcription jobs, original transcription, and status events
 - transcript revisions
 - provenance metadata
 ### Original Transcription And Revision Ownership
 - each processing job stores the original immutable provider output (`text`)
 - provider metadata (`provider`, `model`, `prompt_name`) and failure detail (`error_detail`) are job-owned processing artifacts
 - revisions are optional user-authored edits linked to a content source
 - a revision can be created from original `job.text`
 - many jobs will have zero revisions; revisions are additive and never overwrite original provider output
 - a document groups one or more content sources (images, PDFs, and future source types)
 Storage strategy:
 - PostgreSQL for relational system-of-record entities
@@ -250,12 +259,14 @@ Control:
 Risk:
- transcription quality varies by document type, handwriting legibility, and image quality
+- transcription quality varies by content source type, handwriting legibility, and source quality
 Control:
 - first-class human review and immutable revision history
 ---
 ## Technology References
 - [FastAPI documentation](https://fastapi.tiangolo.com/)
@@ -264,13 +275,16 @@ Control:
 - [PostgreSQL documentation](https://www.postgresql.org/docs/)
 - [MongoDB documentation](https://www.mongodb.com/docs/)
-## Related Pages
+## Related Local References
- [System overview](index.md)
+- [System Overview](index_v1.md)
- [Version 1 plan](ver1/ver1.md)
+- [System Design Intent](intent.md)
- [Version 1 Step 1 plan](ver1/ver1-step1.md)
+- [Transcription Methodology](transcription_methodology.md)
- [Version 1 Step 1 results](ver1/ver1-step1-results.md)
+- System Architecture (this document)
- [Architecture decision records index](adr/README.md)
+- [System Requirements](requirements_v1.md)
 - [Data model](schema_v1.md)
 - [Error Handling Policy](error_handling_v1.md)
 - [Implementation Plan](implementation_plan_v1.md)
 ## Glossary
@@ -289,6 +303,6 @@ Control:
 - Port/Interface: A stable contract used by application/domain code to call infrastructure implementations.
 - Prompt artifact: A single Markdown file that defines one transcription prompt and can be revised independently.
 - Provenance: Metadata that records where generated data came from and how it was produced.
- Revision history: Versioned record of transcript edits over time.
+- Revision history: Optional versioned record of user-authored transcription edits over time.
 - System of record: The authoritative persistent store for canonical data.
 - Vertical slice: A minimal end-to-end feature path spanning UI/API, application logic, and persistence.
@@ -1,4 +1,4 @@
-# Error Handling
+# Error Handling Policy
 This document defines the canonical error-handling policy for the document transcription system. It is the single source of truth for how errors are classified, surfaced to users, logged for diagnosis, and handled across UI, API, service, worker, and provider boundaries.
@@ -41,7 +41,7 @@ The system uses stable, implementation-independent categories:
 | --- | --- | --- | --- |
 | `validation_error` | Payload or parameter shape/content is invalid | UI/API input validation, service guards | no |
 | `user_input_error` | User-provided artifact is unacceptable though structurally valid | unsupported file type, empty file, oversized upload | sometimes |
-| `not_found_error` | Requested resource does not exist | missing job/document/transcript | no |
+| `not_found_error` | Requested resource does not exist | missing job/document/source/revision | no |
 | `conflict_error` | Requested operation violates current state constraints | invalid state transition | no |
 | `external_provider_error` | External AI/provider call fails | upstream HTTP/API/provider failures | sometimes |
 | `infrastructure_transient_error` | Temporary environment issue | network timeout, DB connection reset | yes |
@@ -111,7 +111,7 @@ All logged errors must include, where available:
 - `category`
 - `operation` (e.g., `upload.submit`, `worker.process_job`, `jobs.refresh`)
 - `exception_type`
- `job_id`, `document_id` (when relevant)
+- `job_id`, `document_id`, `source_id` (when relevant)
 - UTC timestamp
 Rules:
@@ -266,12 +266,18 @@ Change requirements:
 - preserve taxonomy stability; if changed, document migration impact
 - record noteworthy policy changes in project release notes or changelog
-## Related Pages
+---
- [System overview](index.md)
+## Related Local References
- [Architecture](architecture.md)
+
- [Requirements](requirements.md)
+- [System Overview](index_v1.md)
- [Intent](intent.md)
+- [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v1.md)
 - [System Requirements](requirements_v1.md)
 - [Data model](schema_v1.md)
 - Error Handling Policy (this document)
 - [Implementation Plan](implementation_plan_v1.md)
 ## Glossary
@@ -0,0 +1,203 @@
 # Version 1 Implementation Plan
 This plan defines the path from current implementation to **Version 1 complete**, aligned to the updated domain model:
 - `Document` groups one or more content `Source` records
 - `Job` owns original immutable provider output (`text`) and processing metadata
 - `Revision` stores optional user-authored edits linked to a `Source`
 The objective is to complete V1 scope with production readiness while keeping non-V1 enhancements out of active delivery.
 ---
 ## V1 Completion Definition
 V1 is complete when all of the following are true:
 1. **Functional complete**
   - Upload, queue, processing, status display, and transcription result inspection work end-to-end.
   - Optional revision workflow is implemented (create/view/update single revision).
 2. **Data-model complete**
   - Runtime behavior, persistence, and tests all align to `Document` / `Source` / `Job` / `Revision`.
 3. **Operational complete**
   - Error handling, logs, and runbooks support reliable operation.
 4. **Documentation complete**
   - Architecture, requirements, schema, error handling, and index are consistent and current.
 ---
 ## Phase 1 — Data Contract Stabilization (Schema-First)
 **Goal:** Lock a single canonical contract before further feature work.
 ### Tasks
 1. Confirm and document invariants:
   - `Job.text` is original immutable transcription output.
   - `Revision` is optional and user-authored.
   - Revisions are derived from the original `Job.text`.
 2. Verify relationship cardinality assumptions:
   - `Document` -> many `Source`
   - `Document` -> many `Job`
   - `Source` -> one `Job`
   - `Source` -> one `Revision`
 3. Ensure field naming consistency (`date_created`, `date_updated`, `date_uploaded`) across code and docs.
 4. Freeze V1 status lifecycle to current implementation (`queued`, `processing`, `transcribed`, `failed`).
 ### Deliverables
 - Updated `schema_v1.md` and `requirements.md` traceability alignment.
 - Explicit V1 data invariants section in architecture docs.
 ### Exit Criteria
 - No conflicting definitions of ownership/cardinality/status remain in docs.
 ---
 ## Phase 2 — Service Layer Refactor To New Model
 **Goal:** Remove all obsolete `Transcript` assumptions from service/workflow code.
 ### Tasks
 1. Refactor `services/transcription.py`:
   - Replace transcript CRUD assumptions with job-output + revision operations.
 2. Refactor `services/jobs.py`:
   - Replace old timestamp/relationship accessors with current model fields.
 3. Refactor `services/documents.py` and `services/store.py`:
   - Ensure upload creates and links `Document`, `Source`, and `Job` correctly.
 4. Refactor `services/workflows.py`:
   - Persist original provider output to `Job`.
   - Persist failure detail to `Job.error_detail`.
   - Use `Revision` only for user-authored edits.
 ### Deliverables
 - Service layer fully aligned with new schema.
 ### Exit Criteria
 - No service module imports or persists `Transcript` model artifacts.
 ---
 ## Phase 3 — UI Contract Alignment
 **Goal:** Align pages/components to source/job/revision semantics.
 ### Tasks
 1. Update job detail and related UI components:
   - Display original immutable transcription from `Job.text`.
   - Display optional revision sourced from `Source.revision` (0 or 1).
 2. Align date fields with new schema naming.
 3. Preserve clear user messaging when no revisions exist.
 ### Deliverables
 - Updated jobs page and detail components.
 ### Exit Criteria
 - UI behavior and labels match documentation and domain model.
 ---
 ## Phase 4 — Database Bootstrap, Migration, and Safety
 **Goal:** Make schema transition safe in dev/test and repeatable for deployment.
 ### Tasks
 1. Update bootstrap compatibility logic in `db/operations.py`:
   - Remove obsolete transcript-table assumptions.
   - Add forward-compatible patches for current tables only.
 2. Define migration/backfill approach for existing local data.
 3. Document rollback and recovery steps.
 4. Rehearse migration path against representative data.
 ### Deliverables
 - Migration/upgrade runbook.
 - Validated bootstrap behavior for dev/test.
 ### Exit Criteria
 - Migration path is documented and tested with no unresolved data-loss risk.
 ---
 ## Phase 5 — Test Suite Realignment
 **Goal:** Restore full confidence after the schema redesign.
 ### Tasks
 1. Rewrite model tests for:
   - `Document`, `Source`, `Job`, `Revision` relationships and invariants.
 2. Rewrite service/integration tests:
   - Worker success/failure paths using `Job.text` / `Job.error_detail`.
   - Optional single-revision creation/update behavior.
 3. Update UI tests for new job-detail/revision rendering behavior.
 4. Re-enable strict CI quality gates (lint, type, tests).
 ### Deliverables
 - Updated test matrix and passing CI.
 ### Exit Criteria
 - Critical user flows and failure paths are covered and green.
 ---
 ## Phase 6 — Reliability, Operations, and Release Readiness
 **Goal:** Ensure V1 is operable and launch-safe.
 ### Tasks
 1. Verify error taxonomy behavior across UI/API/service/worker.
 2. Confirm structured logging includes relevant identifiers (`job_id`, `document_id`, `source_id` when applicable).
 3. Validate retry behavior and terminal failure handling.
 4. Finalize release checklist, deployment steps, and rollback procedure.
 5. Execute final acceptance run against requirements traceability.
 ### Deliverables
 - V1 release checklist and acceptance evidence.
 - `runbook_v1.md` for incident response and operator workflows.
 - `release_checklist_v1.md` for release sign-off.
 ### Exit Criteria
 - Stakeholder sign-off and launch readiness achieved.
 ---
 ## Requirement Traceability Focus
 The plan must keep clear evidence against these requirement groups:
 - **Core flow:** REQ-0 to REQ-6
 - **Runtime and operations constraints:** REQ-7 to REQ-12
 - **Revision workflow:** REQ-13
 A lightweight traceability table should be maintained with:
 - requirement ID
 - implementation status (`not started` / `in progress` / `done`)
 - validation evidence (test name, screenshot, or runbook step)
 ---
 ## Suggested Execution Rhythm
 - **Weekly:** requirement status and risk review
 - **Per PR:** contract checks (model names, field names, lifecycle values)
 - **Milestone checks:** end of Phases 2, 4, and 6
 ---
 ## Scope Discipline Rule (V1 Focus)
 - Only work required to satisfy V1 requirements enters this plan.
 - Nice-to-have enhancements are captured in a separate backlog document.
 - Schema or contract changes after Phase 1 require explicit approval and traceability impact review.
 ---
 ## Related Local References
 - [System Overview](index_v1.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v1.md)
 - [System Requirements](requirements_v1.md)
 - [Data model](schema_v1.md)
 - [Error Handling Policy](error_handling_v1.md)
 - Implementation Plan (this document)
@@ -1,12 +1,10 @@
-## Document Transcription System
+## Document Transcription System Overview
 This project is a production application for transcribing and preserving historical family documents. It is intentionally designed for personal-scale use, with a simplicity-first architecture that is easy to operate and easy to extend.
 ## Start Here
-Read [architecture.md](architecture.md) first.
+Read [architecture_v1.md](architecture_v1.md) first.
 Then review [ver1/ver1.md](ver1/ver1.md) for completion scope and [ver1/ver1-step1-results.md](ver1/ver1-step1-results.md) for current architecture-consolidation status.
 The architecture page is the primary technical reference and defines:
@@ -17,14 +15,15 @@ The architecture page is the primary technical reference and defines:
 ## What The Application Does
-At a high level, users upload images of handwritten, typed, or typeset documents, run asynchronous transcription jobs, review and edit transcript revisions, and search across accepted text.
+At a high level, users upload images or PDFs as content sources for handwritten, typed, or typeset documents, run asynchronous transcription jobs, review optional revisions, and search across accepted text.
-Core capabilities:
+### Core capabilities:
- document upload and metadata capture
+- document grouping with one or more content sources and metadata capture
 - asynchronous transcription with visible job status
 - immutable original transcription persisted with each job (plus provider/model/prompt metadata)
 - transcription prompt management with one Markdown file per prompt for human refinement over time
- revision history for transcript edits
+- optional revisions for user-authored edits of original immutable transcription text
 - full-text search over accepted transcripts
 - export of transcript data
@@ -39,16 +38,18 @@ The system runs with minimal operational overhead:
 This operating model keeps deployment and maintenance simple while preserving clean boundaries for future scale.
 ---
 ## Documentation Map
- Architecture and technical design: [architecture.md](architecture.md)
+- System Overview (this document)
- Version 1 implementation plan: [ver1/ver1.md](ver1/ver1.md)
+- [System Design Intent](intent.md)
- Version 1 Step 1 plan: [ver1/ver1-step1.md](ver1/ver1-step1.md)
+- [Transcription Methodology](transcription_methodology.md)
- Version 1 Step 1 results: [ver1/ver1-step1-results.md](ver1/ver1-step1-results.md)
+- [System Architecture](architecture_v1.md)
- Architecture decision records (ADR index): [adr/README.md](adr/README.md)
+- [System Requirements](requirements_v1.md)
- Runtime and deployment requirements: [requirements.md](requirements.md)
+- [Data model](schema_v1.md)
- Error handling policy and operational guidance: [error_handling.md](error_handling.md)
+- [Error Handling Policy](error_handling_v1.md)
- Domain context and transcription policy: [intent.md](intent.md)
+- [Implementation Plan](implementation_plan_v1.md)
 ## Glossary
@@ -0,0 +1,45 @@
 # V1 Release Readiness Checklist
 Use this checklist before declaring V1 operationally complete.
 ## A) Functional Readiness
 - [ ] Upload flow works for supported file types.
 - [ ] Worker transitions jobs through `queued -> processing -> transcribed|failed`.
 - [ ] Job detail displays immutable original transcription from `Job.text`.
 - [ ] Revision workflow supports create/update/view/delete for optional single revision.
 ## B) Reliability and Error Handling
 - [ ] Error categories surface with actionable messages in UI/API pathways.
 - [ ] Failed jobs persist `error_detail` and terminal state.
 - [ ] Stale processing recovery verified on restart.
 - [ ] Retry/timeout behavior validated against configured limits.
 ## C) Operational Readiness
 - [ ] `runbook_v1.md` reviewed and current.
 - [ ] `migration_v1.md` reviewed and current.
 - [ ] Backup and rollback procedures tested at least once.
 - [ ] Incident escalation packet template is known to operators.
 ## D) Quality Gates
 - [ ] Lint/type checks pass.
 - [ ] `pytest -m "not external" -q` passes.
 - [ ] Targeted external/provider checks executed (if credentials available).
 - [ ] Release evidence recorded in `release_evidence_v1.md`.
 ## E) Traceability and Documentation
 - [ ] `requirements_v1.md` aligns with implemented V1 behavior.
 - [ ] `architecture_v1.md`, `schema_v1.md`, and `error_handling_v1.md` are consistent.
 - [ ] `traceability_v1.md` is updated with current implementation and test evidence.
 - [ ] `implementation_plan_v1.md` phase status updated with evidence references.
 - [ ] REQ traceability evidence links recorded (tests/runbook/checks).
 ## Release Sign-Off
 - [ ] Technical sign-off complete.
 - [ ] Operational sign-off complete.
 - [ ] V1 completion date recorded.
@@ -0,0 +1,39 @@
 # V1 Release Evidence Log
 ## Step 5 Quality Gates (2026-07-29)
 ### Lint
 - Command: `python -m ruff check .`
 - Result: ✅ pass
 - Notes: initial findings were auto-fixed (`ruff --fix`) plus small manual line-wrap/annotation adjustments.
 ### Tests (primary gate)
 - Command: `python -m pytest -m "not external" -q`
 - Result: ✅ pass (`[100%]`)
 ### Tests (external smoke)
 - Command: `python -m pytest -m external -q`
 - Result: ✅ pass (`[100%]`)
 ### Type Check
 - Command: `python -m ty check src tests`
 - Result: ⚠️ not passing
 - Summary: existing SQLModel/SQLAlchemy typing incompatibilities and test double typing mismatches remain.
 Key current blocker families:
 1. SQLModel relationship/query attribute typing (`selectinload`, `order_by`, `.any()`)
 2. SQLAlchemy join clause typing in `services/transcription.py`
 3. Test fake client type mismatch for `OpenRouterTranscriptionProvider(client=...)`
 4. `Settings(**defaults)` typed-dict strictness in `tests/test_config.py`
 ## Current Gate Status
 - Lint: pass
 - Non-external tests: pass
 - External smoke tests: pass
 - Type check: **blocked** (requires dedicated typing cleanup pass)
@@ -1,6 +1,6 @@
 ## Document Transcription System Requirements
-This page captures a SysML v1.6-style requirements baseline for the production system described in [index.md](index.md). The model is represented as concise tables and traceability lists that preserve SysML-style IDs and relationship semantics.
+This page captures a SysML v1.6-style requirements baseline for the production system described in [index_v1.md](index_v1.md). The model is represented as concise tables and traceability lists that preserve SysML-style IDs and relationship semantics.
 ## Scope
@@ -15,9 +15,9 @@ This page captures a SysML v1.6-style requirements baseline for the production s
 | ID | Category | Requirement | Risk | Verify Method |
 | --- | --- | --- | --- | --- |
 | REQ-0 | System | Provide end-to-end document transcription with persistent, inspectable lifecycle state. | medium | demonstration |
-| REQ-1 | Functional | Allow users to upload one or more document images from the web UI. | low | test |
+| REQ-1 | Functional | Allow users to upload one or more images or PDFs as sources from the web UI. | low | test |
-| REQ-2 | Functional | Run each upload through asynchronous processing that returns a transcription or explicit failure. | high | test |
+| REQ-2 | Functional | Run each upload through asynchronous processing that returns an original transcription or explicit failure. | high | test |
-| REQ-3 | Functional | Persist and expose job states: upload, queued, processing, transcribed, failed, completed. | high | inspection |
+| REQ-3 | Functional | Persist and expose job states: queued, processing, transcribed, failed. | high | inspection |
 | REQ-4 | Functional | Persist transcription output, processing history, and failure details. | medium | test |
 | REQ-5 | Interface | Expose API and UI views for status inspection and completed transcription reading. | medium | demonstration |
 | REQ-6 | Performance | Trigger background processing on upload to preserve UI responsiveness. | medium | analysis |
@@ -27,10 +27,11 @@ This page captures a SysML v1.6-style requirements baseline for the production s
 | REQ-10 | Design Constraint | Keep schema bootstrap explicit and opt-in; normal startup does not mutate production schema. | high | inspection |
 | REQ-11 | Design Constraint | Use service-backed persistence for core document and job data. | medium | inspection |
 | REQ-12 | Design Constraint | Store transcription prompts as individual Markdown artifacts for iterative refinement. | medium | inspection |
 | REQ-13 | Functional | Allow users to create one optional revision of transcription text derived from the original job transcription. | low | test |
 ### Requirement Relationships
- Contains: REQ-0 contains REQ-1 through REQ-12.
+- Contains: REQ-0 contains REQ-1 through REQ-13.
 - Derives: REQ-2 -> REQ-3, REQ-3 -> REQ-4.
 - Traces: REQ-5 -> REQ-3.
 - Refines: REQ-6 -> REQ-2.
@@ -50,17 +51,17 @@ This page captures a SysML v1.6-style requirements baseline for the production s
 ### Satisfaction Mapping
- UI satisfies REQ-1, REQ-5.
+- UI satisfies REQ-1, REQ-5, REQ-13.
 - API satisfies REQ-5.
 - GRAPH satisfies REQ-2, REQ-6.
- DBREL satisfies REQ-3, REQ-10.
+- DBREL satisfies REQ-3, REQ-10, REQ-13.
 - DBDOC satisfies REQ-4, REQ-11.
 - OPS satisfies REQ-9.
 - PROMPTS satisfies REQ-12.
 ### Verification Mapping
- TESTS verifies REQ-1, REQ-2, REQ-3, REQ-4, REQ-5, REQ-10, REQ-11, REQ-12.
+- TESTS verifies REQ-1, REQ-2, REQ-3, REQ-4, REQ-5, REQ-10, REQ-11, REQ-12, REQ-13.
 ## Requirement Notes
@@ -76,6 +77,19 @@ This page captures a SysML v1.6-style requirements baseline for the production s
 - Analysis: evaluate asynchronous execution behavior and design sufficiency.
 - Test: automate behavioral checks through pytest suites and service-level tests.
 ---
 ## Related Local References
 - [System Overview](index_v1.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v1.md)
 - System Requirements (this document)
 - [Data model](schema_v1.md)
 - [Error Handling Policy](error_handling_v1.md)
 - [Implementation Plan](implementation_plan_v1.md)
 ## Glossary
 - Document-oriented persistence: A storage approach that uses flexible document structures for variable data shapes.
@@ -0,0 +1,129 @@
 # V1 Operations Runbook
 This runbook provides day-2 operational procedures for the V1 baseline.
 ## Scope
 Applies to:
 - local/hosted V1 runtime
 - SQLite-backed persistence
 - in-process worker lifecycle
 - OpenRouter provider integration
 ## Preconditions
 - `.env` contains `OPENROUTER_API_KEY`
 - app starts successfully
 - `uploads/` and `prompts/` are writable
 - health endpoint responds at `/healthz`
 ## Standard Startup Procedure
 1. Start the app using the project-standard command.
 2. Open `/healthz` and verify `{"status":"ok"}`.
 3. Open `/ui/upload` and submit a small valid file.
 4. Confirm job transitions from `queued` -> `processing` -> `transcribed` (or `failed` with detail).
 ## Standard Shutdown Procedure
 1. Stop the application process.
 2. Ensure no active process still holds the SQLite file.
 3. If maintenance is planned, copy the DB file before edits:
   - `transcription.db` (or configured `DATABASE_URL` file path)
 ## Incident: Jobs Stuck In `processing`
 ### Symptoms
 - Jobs remain `processing` for longer than provider timeout
 - New uploads queue but do not complete
 - provider usage increases but no terminal job state is visible
 ### Checks
 1. Confirm app process is still running.
 2. Confirm worker loop is active (startup logs include worker lifespan start).
 3. Inspect recent app logs for:
   - `worker.process_job`
   - `error_id`
   - `category`
   - `job_id` / `document_id` / `source_id`
 4. Verify provider credentials and provider status.
 ### Recovery
 1. Restart the app to trigger stale-processing recovery.
 2. On startup, app re-queues stale processing jobs based on timeout policy.
 3. Re-check jobs page and confirm terminal state progression.
 4. If persistent, capture logs + error IDs and move to deep investigation.
 ## Incident: Provider Authentication Failures
 ### Symptoms
 - failures categorized as provider/auth
 - jobs fail quickly with authentication guidance
 ### Recovery
 1. Validate `OPENROUTER_API_KEY` value.
 2. Restart app after updating env.
 3. Re-run a small transcription to confirm recovery.
 ## Incident: Upload Failures
 ### Symptoms
 - UI reports upload errors
 - unsupported extension or empty payload
 ### Recovery
 1. Validate file extension (`.jpg`, `.jpeg`, `.png`, `.tif`, `.tiff`, `.pdf`).
 2. Validate file is not empty.
 3. Validate upload directory permissions.
 4. Retry upload.
 ## Incident: Database File/Permission Issues
 ### Symptoms
 - persistence errors during upload/job update
 - startup failures around schema/runtime
 ### Recovery
 1. Confirm the configured DB file path exists and is writable.
 2. Confirm parent directory permissions.
 3. Restore from last known backup copy if corruption is suspected.
 4. Restart app and run smoke test.
 ## Logging Requirements (Operational)
 Operational triage should always capture:
 - `error_id`
 - category
 - operation name
 - `job_id`, `document_id`, `source_id` when applicable
 - UTC timestamp
 ## Escalation Packet (When opening an issue)
 Include:
 - exact timestamp window
 - one failing `job_id`
 - relevant `error_id` values
 - latest 100 lines of app logs
 - environment summary (`DATABASE_URL` type, app version/commit)
 ## Post-Incident Validation
 After mitigation, verify:
 1. Upload works.
 2. One job reaches `transcribed`.
 3. One induced failure reaches `failed` with error detail.
 4. Jobs page and detail page render correctly.
@@ -0,0 +1,98 @@
 ## Database Schema (V1 Baseline)
 This document describes the current relational schema for the transcription system.
 All primary and foreign keys in the domain models are UUID-based in V1.
 ---
 ## Schema Diagram
 ```mermaid
 erDiagram
    DOCUMENT {
        UUID id PK
        TEXT name
    }
    JOB {
        UUID id PK
        UUID document_id FK
        TEXT status
        INTEGER retry_count
        DATETIME date_created
        DATETIME date_updated
        TEXT provider
        TEXT model
        TEXT prompt_name
        TEXT text
        TEXT error_detail
    }
    SOURCE {
        UUID id PK
        UUID document_id FK
        UUID job_id FK
        TEXT upload_name
        TEXT filename
        TEXT file_path
        DATETIME date_uploaded
    }
    REVISION {
        UUID id PK
        UUID source_id "FK, UK"
        INTEGER revision
        TEXT text
        DATETIME date_created
    }
    DOCUMENT ||--o{ SOURCE : has_many
    DOCUMENT ||--o{ JOB : has_many
    JOB ||--o{ SOURCE : referenced_by
    SOURCE ||--o| REVISION : has_optional_one
 ```
 ---
 ## Table Relationships and Constraints
 - A `Document` can have zero or more `Source` records.
 - A `Document` can have zero or more `Job` records.
 - A `Source` belongs to exactly one `Document` and one `Job`.
 - A `Source` may have one optional `Revision`.
 - Optional `0..1` revision cardinality is enforced by uniqueness on `revision.source_id`.
 ### Invariants
 - `Job.text` stores immutable original provider transcription output.
 - `Revision` rows are optional user-authored edits derived from original transcription.
 - Revisions do not overwrite original `Job.text`.
 - Job status lifecycle values are: `queued`, `processing`, `transcribed`, `failed`.
 ### Timestamp Fields
 - `Job.date_created`
 - `Job.date_updated`
 - `Source.date_uploaded`
 - `Revision.date_created`
 ---
 ## Related Local References
 - [System Overview](index_v1.md)
 - [System Design Intent](intent.md)
 - [Transcription Methodology](transcription_methodology.md)
 - [System Architecture](architecture_v1.md)
 - [System Requirements](requirements_v1.md)
 - Data model (this document)
 - [Error Handling Policy](error_handling_v1.md)
 - [Implementation Plan](implementation_plan_v1.md)
 ## Glossary
 - **Document**: logical grouping for one or more transcribed sources.
 - **Source**: uploaded file content (image/PDF) linked to a job.
 - **Job**: processing record that stores lifecycle status and original output.
 - **Revision**: optional single user-authored edited text linked to a source.
@@ -0,0 +1,40 @@
 # V1 Traceability Matrix
 This matrix provides implementation and validation evidence for V1 requirements (`REQ-0` through `REQ-13`).
 Status values:
 - `done`: implemented and evidence recorded
 - `in progress`: partially implemented or evidence incomplete
 - `not started`: no implementation/evidence yet
 ## Requirement Evidence Table
 | Requirement | Status | Implementation Evidence | Validation Evidence |
 | --- | --- | --- | --- |
 | REQ-0 | done | End-to-end upload + worker pipeline in `src/transcription/services/store.py`, `src/transcription/worker.py`, `src/transcription/services/workflows.py` | `tests/integration/test_pipeline_flow.py` |
 | REQ-1 | done | Upload UI/page flow in `src/transcription/ui/pages/upload_page.py`, `src/transcription/ui/components/upload.py` | `tests/ui/test_upload_page.py`, `tests/integration/test_pipeline_flow.py` |
 | REQ-2 | done | Async worker execution and provider call orchestration in `src/transcription/worker.py`, `src/transcription/services/workflows.py` | `tests/integration/test_pipeline_flow.py`, `tests/services/test_workflows_reliability.py` |
 | REQ-3 | done | Job lifecycle state model + transitions in `src/transcription/models.py`, `src/transcription/services/jobs.py`, `src/transcription/services/workflows.py` | `tests/services/test_job_service.py`, `tests/ui/test_jobs_page.py` |
 | REQ-4 | done | Persistence of original output and failure detail in `src/transcription/services/transcription.py`, `src/transcription/services/workflows.py` | `tests/integration/test_pipeline_flow.py`, `tests/services/test_workflows_reliability.py` |
 | REQ-5 | done | Status/result inspection via UI pages and API health route in `src/transcription/ui/pages/jobs_page.py`, `src/transcription/api/health.py` | `tests/ui/test_jobs_page.py`, `tests/ui/test_pages_registration.py`, `tests/api/test_health.py` |
 | REQ-6 | done | Background processing trigger/worker notifier and non-blocking workflow in `src/transcription/ui/components/upload.py`, `src/transcription/worker.py` | `tests/test_app.py`, `tests/services/test_workflows_reliability.py` |
 | REQ-7 | done | Lifespan-owned runtime resources in `src/transcription/app.py`, `src/transcription/db/runtime.py` | `tests/test_app.py`, `tests/test_db.py` |
 | REQ-8 | done | Centralized settings/logging initialization in `src/transcription/config.py`, `src/transcription/app.py` | `tests/test_config.py`, `tests/test_app.py` |
 | REQ-9 | done | Containerized runtime baseline in `docker-compose.yml`, `Dockerfile` | `release_checklist_v1.md` (Ops checklist), manual demonstration step |
 | REQ-10 | done | Explicit schema bootstrap policy + runtime controls in `src/transcription/config.py`, `src/transcription/app.py`, `src/transcription/db/operations.py` | `tests/test_db.py`, `tests/test_config.py` |
 | REQ-11 | done | Service/workflow persistence boundaries in `src/transcription/services/*.py`, `src/transcription/services/workflows.py` | `tests/services/test_job_service.py`, `tests/services/test_transcription_service.py` |
 | REQ-12 | done | Prompt artifacts in `prompts/` and loading/validation in `src/transcription/services/transcription.py` | `tests/test_prompts.py` |
 | REQ-13 | done | Optional single revision create/update/view/delete in `src/transcription/services/transcription.py`, `src/transcription/ui/pages/jobs_page.py` | `tests/services/test_transcription_service.py`, `tests/ui/test_jobs_page.py` |
 ## Operational Evidence (Step 3 Artifacts)
 - Runbook: `runbook_v1.md`
 - Migration/backfill/rollback guidance: `migration_v1.md`
 - Release readiness checklist: `release_checklist_v1.md`
 ## Verification Cadence
 - Per change: maintain `tests/test_traceability.py` mappings for touched requirements.
 - Per milestone: update this table status and evidence links.
 - Pre-release: confirm all rows are `done` and non-external suite is green.
@@ -1,86 +0,0 @@
 # Ver1 Step 1 Results: Architecture Consolidation
 ## Summary
 Step 1 implementation has been completed for the primary architecture-consolidation objectives:
 1. Lifespan-owned runtime resource model introduced for DB runtime ownership.
 2. Schema bootstrap policy changed from implicit-always to explicit/environment-aware.
 3. Worker startup now receives lifespan-owned DB engine dependency.
 4. ADR set established for key V1 architectural decisions.
 ## Implemented Changes
 ### 1) Runtime ownership
 - Updated `src/transcription/db.py`:
  - Added `DatabaseRuntime` resource model.
  - Added explicit runtime lifecycle methods:
    - `initialize_database_runtime(...)`
    - `get_database_runtime()`
    - `dispose_database_runtime()`
 - Updated `src/transcription/app.py`:
  - Lifespan initializes DB runtime and stores it on `app.state`.
  - Lifespan disposes DB runtime on shutdown.
 ### 2) Schema bootstrap policy (REQ-10 alignment)
 - Updated `src/transcription/config.py`:
  - Added `environment` setting (`development`, `test`, `production`).
  - Added `bootstrap_schema_on_startup` explicit override setting.
 - Updated `src/transcription/db.py`:
  - Added `should_bootstrap_schema(settings)` policy function.
 - Updated `src/transcription/app.py`:
  - Startup now calls `create_all(...)` only when policy allows.
 ### 3) Worker dependency ownership
 - Updated `src/transcription/worker.py`:
  - `process_next_queued_job(..., engine=None)` now supports explicit engine injection.
  - `run_worker_loop(..., engine=None, ...)` now supports explicit engine injection.
 - Updated `src/transcription/app.py`:
  - Worker thread is started with lifespan-owned engine.
 ### 4) ADR governance
 Created:
 - `docs/adr/README.md`
 - `docs/adr/ADR-0001-lifespan-owned-runtime-resources.md`
 - `docs/adr/ADR-0002-explicit-schema-bootstrap-policy.md`
 - `docs/adr/ADR-0003-persistence-baseline-and-transition-path.md`
 - `docs/adr/ADR-0004-in-process-worker-topology.md`
 ## Test Evidence
 Targeted regression checks executed successfully:
 - `uv run pytest tests/test_app.py tests/test_db.py tests/services/test_worker.py -q`
 - Result: pass
 ## Residual Risks / Follow-ups
 1. Full REQ-7 completion may still require broader runtime ownership coverage for additional resources as V1 expands.
 2. Production schema management workflow (migrations/runbook tooling) should be finalized in subsequent V1 steps.
 3. Additional boundary enforcement automation (import-lint style checks) can be added in later hardening.
 ## Step 1 Exit Assessment
 - Architecture ownership clarity: **met**
 - Schema bootstrap policy hardening: **met**
 - Worker lifecycle dependency clarity: **met**
 - ADR baseline established: **met**
 ## Completion Checklist With Evidence
 | Criterion | Status | Evidence |
 | --- | --- | --- |
 | Architecture conformance matrix approved | partial | Consolidation implemented and documented in `docs/ver1/ver1-step1.md` + this results doc; formal matrix artifact can be added as a follow-up appendix. |
 | REQ-7 ownership gaps resolved or explicitly deferred | met | Lifespan-owned DB runtime and explicit worker engine wiring implemented in `src/transcription/app.py`, `src/transcription/db.py`, `src/transcription/worker.py`. Residual scope documented under follow-ups. |
 | REQ-10 explicit bootstrap policy implemented and verified | met | Policy implemented via `environment` + `bootstrap_schema_on_startup` in `src/transcription/config.py`, `should_bootstrap_schema(...)` in `src/transcription/db.py`, startup gate in `src/transcription/app.py`, tested in `tests/test_db.py`. |
 | Dependency direction rules documented and enforced | partial | Layering and runtime ownership documented in `docs/architecture.md`. Lightweight enforcement exists via review and test discipline; automated import-lint remains a follow-up. |
 | ADR set created for major Step 1 decisions | met | `docs/adr/README.md` and ADR-0001 through ADR-0004 created. |
 | Architecture/index docs updated to match implementation | met | `docs/architecture.md` and `docs/index.md` updated with V1 Step 1 runtime policy and links to V1/ADR artifacts. |
 | Regression and full test suites pass | met | Targeted: `uv run pytest tests/test_app.py tests/test_db.py tests/services/test_worker.py -q`; full suite: `uv run pytest -q`. |
 | Step 1 results artifact published | met | This document (`docs/ver1/ver1-step1-results.md`) created and updated with summary, evidence, risks, and checklist. |
 Step 1 is complete and ready to hand off to Ver1 Step 2.
@@ -1,309 +0,0 @@
 # Step 1 Implementation Plan: Architecture Consolidation
 ## Purpose
 Align the implemented MVP codebase with the production architecture and V1 constraints documented in:
 - `docs/architecture.md`
 - `docs/requirements.md`
 - `docs/error_handling.md`
 - `docs/index.md`
 - `docs/intent.md`
 - `docs/ver1/ver1.md` (Step 1)
 This step hardens architecture boundaries and ownership without expanding product scope.
 ---
 ## MCP Skill and Guide Inputs Incorporated
 This plan explicitly incorporates patterns and guardrails from john-stream-mcp resources:
 1. `resource://skills/fastapi-uv-docker/document`
   - App factory and lifespan ownership
   - Health endpoint and cloud-native baseline expectations
   - Environment-driven configuration and startup discipline
 2. `resource://skills/fastapi-async-sqlalchemy-modernization/document`
   - Current-state gap audit first
   - Target runtime model before refactor
   - Explicit resource lifecycle ownership
   - Transaction/session boundary clarity
   - Phased migration with rollback points
 3. `resource://skills/nicegui/document`
   - Clear dependency direction
   - UI/page registration as composition, not business logic container
   - Async responsiveness and boundary separation
 4. `resource://prompts/greenfield-architecture/document`
   - Pattern-comparison-first planning
   - Explicit tradeoffs and staged implementation
   - Output contract with risks, open questions, and next steps
 ---
 ## Current-State Gap Summary (Architecture vs Implementation)
 Based on docs and current `src/transcription` code:
 1. **REQ-7 gap (lifespan-owned resources)**  
   - DB engine/session factory are module globals in `db.py`, not app lifespan-owned.
   - Worker thread lifecycle is owned by lifespan (good), but DB/provider resource ownership is mixed.
 2. **REQ-10 gap (explicit opt-in schema bootstrap)**  
   - `create_all()` is executed unconditionally on startup in `app.py`.
 3. **Data store target gap (REQ-9 + architecture baseline)**  
   - Runtime still defaults to SQLite MVP setup; production architecture targets PostgreSQL baseline with optional MongoDB.
 4. **Layering clarity gap (architecture layer model)**  
   - Boundaries exist but are not yet formally enforced (interface/app/domain/infra dependency rules are implicit, not codified).
 5. **Decision record gap**  
   - No ADR set documenting key V1 architectural decisions and deviations from MVP.
 ---
 ## Scope for Step 1
 ### In scope
 1. Produce architecture conformance audit and decision records.
 2. Define and implement target runtime ownership model for core resources.
 3. Establish explicit schema bootstrap policy (opt-in in production paths).
 4. Consolidate module boundaries and dependency direction rules.
 5. Update architecture docs to reflect implemented reality and V1 trajectory.
 ### Out of scope
 - Full async SQLAlchemy rewrite (plan and seams only if deferred)
 - MongoDB feature implementation
 - New user-facing features
 - Major worker architecture replacement (in-process worker remains baseline)
 ---
 ## Target Architecture Decisions for V1
 1. **Keep modular monolith topology** (FastAPI + NiceGUI + in-process worker).
 2. **Preserve container-light simplicity guardrails** from `architecture.md`.
 3. **Move runtime ownership to lifespan** for:
   - DB engine/session factory lifecycle
   - Worker runtime resources
   - Provider client factory/config lifecycle
 4. **Adopt explicit schema bootstrap policy**:
   - Dev/test: opt-in auto-bootstrap allowed
   - Production: startup must not mutate schema implicitly
 5. **Formalize boundary map**:
   - Interface (`api`, `ui`) -> Application (`services`) -> Domain (`models/rules`) -> Infrastructure (`db`, `providers`)
   - No reverse imports
 ---
 ## Detailed Work Breakdown
 ## Phase A — Architecture Audit and Baseline Freeze
 - [ ] **A1. Produce architecture conformance matrix**
  - Map each architecture section to current modules/files.
  - Classify each row: `aligned`, `partial`, `not aligned`.
 - [ ] **A2. Produce REQ-7/REQ-9/REQ-10 focused gap report**
  - Explicitly capture current vs required state.
  - Include operational risk if left unresolved.
 - [ ] **A3. Freeze MVP architecture baseline**
  - Record current baseline behavior and known temporary shortcuts.
  - Link this baseline from `docs/ver1/ver1.md`.
 ### Deliverables
 - `docs/ver1/ver1-step1-audit.md` (or equivalent section in this doc)
 - Architecture conformance table
 ### Exit Criteria
 - No architecture changes begin before gap matrix and baseline are approved.
 ---
 ## Phase B — Resource Ownership Consolidation (Lifespan-Centric)
 - [ ] **B1. Define runtime resource ownership contract**
  - `app.py` lifespan owns resource initialization and cleanup order.
  - `app.state` carries resource handles/factories.
  - No hidden module-global side-effect initialization for runtime resources.
 - [ ] **B2. Refactor DB ownership model**
  - Replace module-global engine singleton pattern with lifespan-initialized resource model.
  - Define one canonical session-factory access path for app/worker/services.
 - [ ] **B3. Normalize worker dependencies**
  - Ensure worker uses lifespan-owned resources/factories rather than implicit globals.
  - Preserve deterministic startup/shutdown behavior.
 - [ ] **B4. Define provider adapter ownership**
  - Provider client creation strategy is centralized and lifecycle-aware.
  - Avoid per-call hidden client construction when unnecessary.
 ### MCP-Guided Guardrails
 - Use explicit lifecycle composition patterns from `fastapi-async-sqlalchemy-modernization`.
 - Maintain app-factory + lifespan structure per `fastapi-uv-docker`.
 - Keep UI registration as composition only per `nicegui`.
 ### Exit Criteria
 - Core runtime resources have one owner and one cleanup path.
 - No critical resource has ambiguous ownership.
 ---
 ## Phase C — Schema Bootstrap Policy (REQ-10 Alignment)
 - [ ] **C1. Define environment-aware bootstrap policy**
  - `auto_create_schema` (or equivalent) disabled in production by default.
  - Startup schema mutation is explicit and intentional.
 - [ ] **C2. Split startup responsibilities**
  - App startup performs health-critical initialization only.
  - Schema bootstrap path is moved to explicit command/flag workflow.
 - [ ] **C3. Update deployment/runbook docs**
  - Document migration/bootstrap flow for dev, staging, prod.
  - Ensure policy is testable and auditable.
 ### Exit Criteria
 - Normal production startup path does not call schema auto-create implicitly.
 - Bootstrap behavior is explicit and documented.
 ---
 ## Phase D — Module Boundary Enforcement
 - [ ] **D1. Publish dependency direction rules**
  - Allowed import directions across `api`, `ui`, `services`, `models/domain`, `db/providers`.
  - Explicitly disallow reverse dependencies.
 - [ ] **D2. Reconcile package map with docs**
  - Ensure docs’ architecture elements match real package layout and naming.
  - Update docs where intentional deviations remain.
 - [ ] **D3. Isolate cross-layer responsibilities**
  - Keep API/UI presentation concerns out of services.
  - Keep provider/DB specifics out of interface layer.
 - [ ] **D4. Add lightweight architecture checks**
  - Add static/import checks and/or review checklist in CI/review process.
 ### Exit Criteria
 - Boundary rules are documented and applied.
 - Architectural drift can be detected during review/CI.
 ---
 ## Phase E — Architecture Decision Records (ADRs)
 - [ ] **E1. Create ADR index**
  - Add `docs/adr/README.md` with template and status model.
 - [ ] **E2. Record minimum V1 ADR set**
  1. Runtime ownership model (lifespan-owned resources)
  2. Schema bootstrap policy (explicit vs implicit)
  3. Persistence baseline (PostgreSQL target; SQLite transition strategy)
  4. Worker topology (in-process for V1, extension path preserved)
 - [ ] **E3. Cross-link ADRs**
  - Link from architecture and V1 docs.
 ### Exit Criteria
 - Major architecture decisions are explicit, versioned, and discoverable.
 ---
 ## Phase F — Documentation Consolidation
 - [ ] **F1. Update `docs/architecture.md`**
  - Reflect real implementation and V1 target state separately.
  - Mark transitional choices clearly.
 - [ ] **F2. Update `docs/index.md` navigation consistency**
  - Ensure architecture/readme references match actual docs/files.
 - [ ] **F3. Update `docs/requirements.md` traceability notes**
  - Mark REQ-7/REQ-10 status and verification approach after consolidation.
 - [ ] **F4. Add Step 1 result summary**
  - Create `docs/ver1/ver1-step1-results.md` after implementation.
 ### Exit Criteria
 - Docs are internally consistent and match runtime architecture reality.
 ---
 ## Verification Plan
 ## Architecture Verification Matrix (Step 1)
 1. **Inspection**
   - Resource ownership map exists and matches code.
   - Schema bootstrap policy is explicit and environment-aware.
   - ADRs exist for each key architecture decision.
 2. **Automated checks**
   - Existing test suite remains green.
   - New/updated tests validate startup policy (no implicit schema mutation in production mode).
   - Import/dependency-direction checks pass (if introduced).
 3. **Demonstration**
   - App starts in dev mode with explicit expected behavior.
   - App starts in production mode without mutating schema implicitly.
   - Worker lifecycle starts/stops cleanly with app lifespan.
 ---
 ## Risks and Mitigations
 1. **Risk:** Refactor destabilizes MVP behavior  
   **Mitigation:** Phase changes with small PRs and regression checks after each phase.
 2. **Risk:** Over-rotation into premature async rewrite  
   **Mitigation:** Keep this step focused on lifecycle ownership and boundaries; defer full async migration unless required.
 3. **Risk:** Schema policy changes break local DX  
   **Mitigation:** Keep explicit dev bootstrap path simple and documented.
 4. **Risk:** Boundary rules become “doc only”  
   **Mitigation:** Add CI/review enforcement and architecture checklist.
 ---
 ## Recommended Implementation Order
 1. Phase A — Audit and baseline freeze  
 2. Phase B — Resource ownership consolidation  
 3. Phase C — Schema bootstrap policy  
 4. Phase D — Boundary enforcement  
 5. Phase E — ADR authoring  
 6. Phase F — Documentation consolidation
 This order minimizes risk: diagnose first, then refactor ownership, then lock policy, then enforce boundaries, and finally finalize docs.
 ---
 ## Step 1 Completion Checklist
 - [ ] Architecture conformance matrix approved.
 - [ ] REQ-7 ownership gaps resolved or explicitly deferred with owner/date.
 - [ ] REQ-10 explicit bootstrap policy implemented and verified.
 - [ ] Dependency direction rules documented and enforced.
 - [ ] ADR set created for all major Step 1 decisions.
 - [ ] Architecture and index docs updated to match implementation.
 - [ ] Full test suite passes after consolidation.
 - [ ] `docs/ver1/ver1-step1-results.md` created with evidence and residual risks.
 ---
 ## Handoff to Step 2
 Once Step 1 completes, Step 2 (Error Handling & Reliability Hardening) can proceed on stable architecture seams:
 - consistent lifecycle ownership,
 - explicit startup policy,
 - clear module boundaries,
 - documented architecture decisions.
@@ -1,80 +0,0 @@
 # Ver1 Step 2 Results: Error Handling & Reliability Hardening
 ## Summary
 Step 2 implementation is complete for the planned reliability and error-handling hardening scope:
 1. Worker retries are now explicit, bounded, and category-driven.
 2. Error behavior is more consistent across worker/API/UI boundaries.
 3. Logging now includes stronger boundary context in key failure paths.
 4. Test coverage was expanded for retry policy and new reliability settings.
 ## Implemented Changes
 ### 1) Worker retry policy and terminal behavior
 - Updated `src/transcription/models.py`:
  - Added `Job.retry_count` with default `0`.
 - Updated `src/transcription/config.py`:
  - Added `worker_max_retries`.
  - Added `worker_retry_backoff_seconds`.
 - Updated `src/transcription/worker.py`:
  - Added bounded retry decision path (`_should_retry`).
  - Added requeue behavior (`_requeue_for_retry`) for retriable errors.
  - Added deterministic terminal failure behavior (`_finalize_failed_job`).
  - Preserved transcript failure detail persistence (`error_id`, `category`, suggestion).
 ### 2) API fallback normalization hardening
 - Updated `src/transcription/api/errors.py`:
  - Fallback handler now emits safe generic internal message for unhandled exceptions.
  - Added structured boundary logging fields including operation and exception type.
 ### 3) UI interaction reliability guard
 - Updated `src/transcription/ui/upload_page.py`:
  - Added duplicate in-flight submission guard to prevent repeated upload handling while busy.
 ### 4) Observability/logging improvements
 - Updated worker logs in `src/transcription/worker.py` to include operation and domain identifiers in key transitions:
  - pick
  - retry
  - transcribed
  - failed
 ## Test Coverage Added/Updated
 - Updated `tests/test_models.py`:
  - Assert `retry_count` default.
 - Updated `tests/test_config.py`:
  - Added worker retry settings default test.
 - Updated `tests/services/test_worker.py`:
  - Added retriable requeue test.
  - Added retry-exhaustion terminal failure test.
  - Updated existing tests for settings-driven worker behavior.
 - Existing API error tests remained green with fallback behavior updates:
  - `tests/api/test_error_responses.py`
 ## Verification Evidence
 Executed and passing:
 - `uv run pytest tests/services/test_worker.py tests/test_models.py tests/test_config.py tests/api/test_error_responses.py -q`
 - `uv run pytest -q`
 ## Residual Risks / Follow-ups
 1. Retry policy currently uses simple fixed backoff; richer strategy (exponential/jitter) can be added in later hardening.
 2. Full cross-layer structured logging standardization can be expanded in Step 6 observability work.
 3. A formal Step 2 error-path inventory artifact (`ver1-step2-audit.md`) is still recommended for governance completeness.
 ## Step 2 Exit Assessment
 - Error taxonomy and envelope stability: **met**
 - Bounded retry and terminal failure behavior: **met**
 - Worker reliability controls: **met**
 - UI interaction hardening for duplicate actions: **met**
 - Test coverage expansion and full-suite regression safety: **met**
 Step 2 is complete and ready to hand off to Ver1 Step 3.
@@ -1,302 +0,0 @@
 # Step 2 Implementation Plan: Error Handling & Reliability Hardening
 ## Purpose
 Implement **Ver1 Step 2** from `docs/ver1/ver1.md` by standardizing failure behavior and reliability controls so the system fails safely, predictably, and transparently across UI, API, services, worker, and provider boundaries.
 Primary governing docs:
 - `docs/error_handling.md` (authoritative contract)
 - `docs/requirements.md` (REQ-2, REQ-3, REQ-4, REQ-5, REQ-6)
 - `docs/architecture.md` (boundary ownership and worker lifecycle)
 - `docs/ver1/ver1.md` (Step 2 objective)
 ---
 ## MCP Skill and Guide Inputs Incorporated
 This plan integrates guidance from john-stream-mcp resources:
 1. `resource://skills/python-logging-dictconfig/document`
   - centralized `dictConfig` logging
   - startup-only configuration
   - stable named loggers and boundary-level logging discipline
 2. `resource://skills/pytesting/document`
   - deterministic, behavior-first tests
   - explicit marker usage and fast/slow lane discipline
   - integration checks for boundary behavior and error contracts
 3. `resource://skills/fastapi-async-sqlalchemy-modernization/document`
   - classify at source boundary
   - explicit transaction/session behavior under failure
   - phased rollout with quality gates and rollback awareness
 4. `resource://skills/nicegui-ui-customization/document`
   - explicit user-facing error feedback for each interaction
   - prevent duplicate actions during in-flight operations
   - preserve one-way dependency boundaries from UI -> services
 5. `resource://skills/fastapi-uv-docker/document` (applied selectively)
   - lifespan-safe startup/shutdown behavior
   - health/readiness posture and cloud-native operational checks
 ---
 ## Current-State Gap Summary
 The project already has a strong baseline (`AppError`, taxonomy enum, API envelope, worker persistence), but Step 2 needs completion-level hardening:
 1. **Error contract consistency**
   - API envelope exists, but consistency must be verified for all error pathways.
 2. **Cross-boundary category normalization**
   - Provider/service/worker mappings exist, but require stricter policy checks and tests.
 3. **Retry policy implementation depth**
   - Step 2 requires bounded retry policy and clear terminal behavior for retriable failures.
 4. **Operational traceability**
   - Logging exists; Step 2 requires consistent structured fields at critical boundaries.
 5. **UI failure UX consistency**
   - UI error handling exists; Step 2 requires explicit contract coverage and anti-duplication safeguards.
 ---
 ## Scope for Step 2
 ### In scope
 1. Enforce canonical error taxonomy and envelope across all boundaries.
 2. Standardize logging fields and boundary-level error traceability.
 3. Implement/complete bounded retry and terminal failure behavior in worker paths.
 4. Improve UI/API error presentation consistency and actionable guidance.
 5. Add comprehensive Step 2 test coverage and verification matrix.
 6. Update documentation to reflect final Step 2 policies and behavior.
 ### Out of scope
 - Major architecture/topology changes (external queue, distributed worker)
 - New end-user feature expansion outside reliability/error handling
 - Full async ORM migration (unless required by bug fix)
 ---
 ## Target Decisions for Step 2
 1. **Taxonomy stability is mandatory**
   - `ErrorCategory` values remain stable contract identifiers.
 2. **Classification occurs at source boundary**
   - adapters/services normalize early; UI/API only present safely.
 3. **User safety over internal detail leakage**
   - expose safe message + suggestion + error_id; keep sensitive detail in logs.
 4. **Retry is explicit and bounded**
   - only retriable categories may retry; retries are capped; terminal failures persist reason.
 5. **Boundary logs carry correlation fields**
   - include `error_id`, `category`, `operation`, and domain identifiers where available.
 ---
 ## Detailed Work Breakdown
 ## Phase A — Error Contract Audit and Policy Lock
 - [ ] **A1. Build error-path inventory**
  - Enumerate all failure entry points across:
    - `api/`
    - `ui/`
    - `services/`
    - `worker.py`
    - `providers/`
 - [ ] **A2. Produce taxonomy mapping table**
  - For each known exception path, map:
    - source exception type
    - target `ErrorCategory`
    - retriable flag
    - API status (if exposed)
 - [ ] **A3. Reconcile with `docs/error_handling.md`**
  - Resolve any mismatch in category semantics, status codes, or suggested actions.
 ### Deliverables
 - `docs/ver1/ver1-step2-audit.md` (recommended)
 - taxonomy mapping table
 ### Exit Criteria
 - Every known failure path has explicit category + retriable policy.
 ---
 ## Phase B — API and Service Contract Hardening
 - [ ] **B1. Enforce API envelope completeness**
  - Ensure all API errors return:
    - `error_id`, `category`, `message`, `suggestion`, `timestamp`
 - [ ] **B2. Verify category-to-status mapping consistency**
  - Confirm `api/errors.py` matches `docs/error_handling.md` mapping guidance.
 - [ ] **B3. Normalize service exceptions at boundary**
  - Services should raise `AppError` subclasses for known failures.
  - Unknown exceptions must become `internal_unexpected_error` with traceable `error_id`.
 - [ ] **B4. Ensure safe detail handling**
  - API/UI messages remain safe.
  - Diagnostic context remains in logs/persisted failure detail where appropriate.
 ### Exit Criteria
 - No unstructured/unclassified exception escapes core boundaries.
 - API responses are contract-stable for all tested failure modes.
 ---
 ## Phase C — Worker Retry and Terminal Failure Policy
 - [ ] **C1. Define bounded retry policy**
  - Add configurable retry settings (attempt limit/backoff policy).
  - Limit retries to retriable categories.
 - [ ] **C2. Implement terminal failure persistence**
  - On retry exhaustion, persist clear terminal reason and `error_id`.
  - Ensure job status transitions end deterministically at `failed`.
 - [ ] **C3. Add duplicate-processing safety checks**
  - Prevent duplicate terminal updates when job already resolved.
 - [ ] **C4. Validate worker lifecycle under repeated transient failures**
  - Ensure loop remains stable and responsive.
 ### Exit Criteria
 - Retries are bounded and policy-driven.
 - Exhausted retries produce deterministic failed state with evidence.
 ---
 ## Phase D — Logging and Observability Contract Enforcement
 - [ ] **D1. Central logging conformance check**
  - Confirm startup-only `dictConfig` use remains canonical.
  - No module-level `basicConfig` use.
 - [ ] **D2. Standardize error log fields**
  - Require at minimum when available:
    - `error_id`, `category`, `operation`, `exception_type`, `job_id`, `document_id`
 - [ ] **D3. Boundary handoff logging**
  - Add/normalize logs at transitions:
    - UI action -> service
    - service -> provider/db
    - worker pickup -> terminal state
 - [ ] **D4. Log noise control**
  - Avoid duplicate stack-trace logging across layers for same exception.
 ### Exit Criteria
 - Critical failure events are traceable end-to-end via logs and `error_id`.
 ---
 ## Phase E — UI Error UX Consistency and Interaction Hardening
 - [ ] **E1. Standardize user error presentation**
  - For upload/jobs interactions, ensure:
    - clear title
    - plain-language message
    - suggested action
    - visible error reference id
 - [ ] **E2. Add in-flight interaction guards**
  - Prevent duplicate submits/click storms during pending operations.
 - [ ] **E3. Ensure deterministic UI state recovery**
  - controls re-enable after failure
  - status text remains actionable
 - [ ] **E4. Keep UI boundary clean**
  - no provider/protocol details leaked into page modules
 ### Exit Criteria
 - All primary UI actions have consistent success/failure interaction behavior.
 ---
 ## Phase F — Test Expansion and Verification
 Apply pytesting guidance: behavior-first assertions, deterministic fixtures, strict markers.
 - [ ] **F1. API error contract tests**
  - verify envelope fields and status mapping for each category class.
 - [ ] **F2. Service classification tests**
  - verify known failures map to expected `AppError` subclasses/categories.
 - [ ] **F3. Worker retry policy tests**
  - retriable failure retries and eventual success
  - retriable failure exhaustion -> terminal failed
  - non-retriable failure -> immediate failed
 - [ ] **F4. UI error behavior tests**
  - upload/jobs actions show actionable feedback on failures
  - duplicate action guard behavior
 - [ ] **F5. Regression guard tests**
  - at least one test per previously observed production/real-world failure mode
 ### Validation Commands
 - `uv run pytest --collect-only -q`
 - `uv run pytest -m unit -q`
 - `uv run pytest -m "not external" -q`
 - `uv run pytest -q`
 ### Exit Criteria
 - All Step 2 reliability/error contract tests pass.
 - Existing suite remains green.
 ---
 ## Recommended Implementation Order
 1. Phase A — audit and policy lock  
 2. Phase B — API/service contract hardening  
 3. Phase C — worker retry and terminal policy  
 4. Phase D — logging/traceability normalization  
 5. Phase E — UI consistency hardening  
 6. Phase F — test expansion and full verification
 This order reduces risk by locking policy first, then applying behavior changes at core boundaries before UI polish.
 ---
 ## Risks and Mitigations
 1. **Risk:** Overly broad retry policy causes hidden failure loops  
   **Mitigation:** strict category-based retry eligibility + hard cap + terminal persistence.
 2. **Risk:** User-facing messages become too technical  
   **Mitigation:** enforce safe message + suggestion contract in tests.
 3. **Risk:** Logging becomes noisy/redundant  
   **Mitigation:** boundary logging rules and single-trace ownership.
 4. **Risk:** Reliability work introduces regressions in happy path  
   **Mitigation:** run full suite continuously; preserve integration pipeline tests.
 ---
 ## Step 2 Completion Checklist
 - [ ] Error taxonomy mapping table completed and approved.
 - [ ] API envelope and HTTP status behavior verified for all relevant failure categories.
 - [ ] Service/provider exception normalization is consistent and tested.
 - [ ] Worker retry behavior is bounded, explicit, and terminal-state safe.
 - [ ] Structured error logging fields are present at boundary handoffs.
 - [ ] UI failure flows provide clear, actionable, and traceable feedback.
 - [ ] Full test suite passes with new Step 2 coverage included.
 - [ ] `docs/ver1/ver1-step2-results.md` created with evidence and residual risks.
 ---
 ## Handoff to Step 3
 After Step 2 completion, Step 3 (Functional Completion by Requirement Domain) proceeds on a hardened foundation:
 - stable failure contracts,
 - predictable retries and terminal behavior,
 - actionable user/API error semantics,
 - improved diagnostic traceability.
@@ -1,320 +0,0 @@
 # Version 1 Implementation Plan
 This plan defines the path from MVP to **Version 1 complete**.  
 The objective is to deliver the full scoped product with production readiness, while explicitly separating refinements/enhancements into a future document.
 ---
 ## 0) Plan Governance & Scope Control (Foundation)
 **Goal:** Keep execution focused on V1 completion, not optimization/perfection.
 ### Implementation Steps
 1. Create and maintain a **V1 Traceability Matrix**:
   - Requirement ID
   - Current status (`done`, `partial`, `not started`)
   - Owner
   - Validation method
 2. Define V1 completion gates:
   - Functional complete
   - Operationally complete
   - Production-ready complete
 3. Snapshot the MVP baseline (tag/changelog reference).
 4. Create a standing rule: any non-V1 idea is logged to a separate enhancements backlog document (to be named later), not added to active V1 scope unless explicitly approved.
 ### Deliverables
 - `docs/ver1/ver1.md` (this plan)
 - V1 traceability artifact (linked from here when created)
 ### Exit Criteria
 - Every in-scope requirement has explicit ownership and status.
 - Scope-change process is agreed and followed.
 ---
 ## 1) Architecture Consolidation
 **Goal:** Align implementation with the intended architecture and reduce MVP shortcuts.
 ### Implementation Steps
 1. Compare implemented modules/components with architecture documentation.
 2. Identify and classify architectural debt:
   - Temporary coupling
   - Missing interfaces
   - Placeholder services/components
 3. Resolve high-risk architectural gaps first.
 4. Record key decisions and tradeoffs in ADRs.
 ### Deliverables
 - Updated architecture diagrams and boundaries
 - ADR entries for major decisions
 ### Exit Criteria
 - Architecture documentation reflects system reality.
 - Critical architecture risks are addressed or scheduled with owners/dates.
 ---
 ## 2) Error Handling & Reliability Hardening
 **Goal:** Ensure predictable, safe behavior under failure conditions.
 ### Implementation Steps
 1. Standardize error taxonomy and envelope format across all layers.
 2. Ensure clear distinction between:
   - User-facing errors
   - Internal/system errors
   - Retryable vs non-retryable failures
 3. Add resilience controls where needed:
   - Timeouts
   - Retries with backoff
   - Circuit breaking / fallback logic
 4. Add failure-path tests for critical workflows.
 ### Deliverables
 - Error code catalog/reference
 - Failure mode test coverage for critical paths
 ### Exit Criteria
 - Error behavior is consistent across major flows.
 - Known failure scenarios are tested and pass.
 ---
 ## 3) Functional Completion by Requirement Domain
 **Goal:** Complete all V1 functional requirements in a risk-aware order.
 ### Recommended Order
 1. Business-critical end-user flows
 2. Data integrity and consistency capabilities
 3. Admin/operational controls
 4. Lower-priority UX and quality-of-life items that are in V1 scope
 ### Implementation Steps
 For each requirement slice:
 1. Finalize contract/schema
 2. Implement domain logic
 3. Implement persistence/state changes
 4. Integrate API/UI
 5. Add automated tests
 6. Update docs
 ### Deliverables
 - Requirement completion report with validation evidence
 ### Exit Criteria
 - All V1 “must-have” requirements are complete and validated.
 ---
 ## 4) Data Model, Migration, and Backfill Safety
 **Goal:** Ensure data model and migrations are production-safe.
 ### Implementation Steps
 1. Validate schema against final V1 domain needs.
 2. Implement forward-safe migrations.
 3. Define rollback/mitigation plans for migration failures.
 4. Build and verify backfill scripts (if needed).
 5. Add migration rehearsal in staging with representative data.
 ### Deliverables
 - Migration runbook
 - Backfill verification checklist
 ### Exit Criteria
 - Migration plan validated in staging.
 - No unresolved data-loss risk for V1 rollout.
 ---
 ## 5) Security, Access Control, and Compliance Baseline
 **Goal:** Close MVP security gaps and establish V1 baseline controls.
 ### Implementation Steps
 1. Complete authn/authz coverage for all routes/actions.
 2. Enforce input validation and output sanitization.
 3. Verify secret management and credential rotation process.
 4. Add audit logging for sensitive operations.
 5. Run dependency/security scanning in CI and remediate findings.
 ### Deliverables
 - Security checklist with status
 - Threat/risk update for V1 scope
 ### Exit Criteria
 - No unresolved critical/high vulnerabilities for V1 launch.
 - Access control behavior verified by tests.
 ---
 ## 6) Observability & Operability
 **Goal:** Make system behavior observable and supportable in production.
 ### Implementation Steps
 1. Standardize structured logging and correlation IDs.
 2. Add core metrics:
   - Latency
   - Throughput
   - Error rates
   - Resource saturation
 3. Add tracing for critical request/workflow paths.
 4. Define SLOs/SLIs and alert thresholds.
 5. Prepare incident response and rollback runbooks.
 ### Deliverables
 - Dashboards and alerts
 - Operations runbooks
 ### Exit Criteria
 - Team can detect, triage, and remediate incidents quickly.
 - Core production signals are available and reliable.
 ---
 ## 7) Test Strategy Expansion & Quality Gates
 **Goal:** Raise confidence for repeatable, low-risk releases.
 ### Implementation Steps
 1. Expand unit and integration tests across V1 features.
 2. Add contract tests between key components/services.
 3. Add end-to-end tests for critical user journeys.
 4. Add non-functional tests where relevant:
   - Performance/load
   - Soak
   - Failure-injection scenarios
 5. Enforce CI quality gates (tests, lint, type checks, security scans).
 ### Deliverables
 - Test matrix with ownership
 - CI gate definition and thresholds
 ### Exit Criteria
 - Critical-path regressions are blocked automatically.
 - Test coverage and reliability thresholds meet V1 targets.
 ---
 ## 8) Performance & Scalability Validation
 **Goal:** Meet expected V1 performance at projected load.
 ### Implementation Steps
 1. Define performance budgets per key flow.
 2. Benchmark current behavior in staging.
 3. Optimize bottlenecks (queries, caching, concurrency, etc.).
 4. Re-test after each optimization and compare against budget.
 5. Document known limits and safe operating bounds.
 ### Deliverables
 - Performance benchmark report
 - Optimization log
 ### Exit Criteria
 - V1 performance targets met for expected usage profile.
 ---
 ## 9) Release Engineering & Environment Readiness
 **Goal:** Make deployment repeatable, controlled, and reversible.
 ### Implementation Steps
 1. Harden CI/CD pipeline with clear promotion gates.
 2. Ensure config parity and consistency across environments.
 3. Define rollout strategy (phased/canary/limited release as applicable).
 4. Validate rollback procedures in staging.
 5. Produce release checklist and ownership model.
 ### Deliverables
 - Release playbook
 - Environment readiness checklist
 ### Exit Criteria
 - Deployment and rollback are rehearsed and reliable.
 - Release process is executable without tribal knowledge.
 ---
 ## 10) Documentation Completion
 **Goal:** Ensure V1 can be built, operated, and supported from documentation.
 ### Implementation Steps
 1. Update core project docs to match final V1 behavior:
   - Architecture
   - Error handling
   - Requirements status
   - Index/navigation
   - Intent alignment summary
 2. Add operator troubleshooting guides.
 3. Add integration/API examples for consumers.
 4. Publish changelog/version notes for V1.
 ### Deliverables
 - Updated documentation set for V1
 - V1 release notes
 ### Exit Criteria
 - A new team member can run/support the system using docs alone.
 ---
 ## 11) Final Validation, UAT, and Launch
 **Goal:** Confirm readiness and launch V1 safely.
 ### Implementation Steps
 1. Run full-system acceptance validation against the V1 traceability matrix.
 2. Conduct stakeholder UAT and capture sign-off.
 3. Execute production readiness review.
 4. Launch in controlled phases and monitor key signals.
 ### Deliverables
 - UAT/PRR sign-off records
 - Launch checklist and monitoring plan
 ### Exit Criteria
 - Stakeholder approval achieved.
 - Launch metrics are stable within defined thresholds.
 ---
 ## 12) Post-Launch Stabilization (30–60 Days)
 **Goal:** Consolidate V1 in production before major expansion.
 ### Implementation Steps
 1. Track incidents, defects, and user feedback.
 2. Prioritize stabilization fixes with short cycle times.
 3. Remove temporary flags/mitigations introduced during launch.
 4. Produce post-launch retrospective and handoff to standard roadmap cadence.
 ### Deliverables
 - Stabilization report
 - Prioritized backlog update
 ### Exit Criteria
 - Incident/error rates converge to steady-state targets.
 - V1 transitions from launch mode to normal operations.
 ---
 ## Recommended Execution Rhythm
 - **Weekly:** Requirement closure + risk review
 - **Biweekly:** Release train with quality gates
 - **Milestone reviews:** After phases 2, 6, 9, and 11
 ---
 ## Scope Discipline Rule (V1 Focus)
 To preserve delivery focus:
 - V1 execution prioritizes completion of scoped requirements.
 - Refinements/enhancements are captured in a separate future document and backlog.
 - Only explicitly approved scope changes may enter this plan.
@@ -0,0 +1,35 @@
 # AI Coding Assistant Project Briefing & Context
 ## Project Mission
 This application is a family history archival and transcription platform. Its primary goal is to accept scanned document images (letters, postcards, logbooks, diaries), execute OCR and structured transcription via AI vision models (OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet), and manage historical metadata (authors, recipients, dates, and locations).
 ---
 ## Technical Stack & Architecture
 * **Database:** PostgreSQL 13+ with native `UUID` (`gen_random_uuid()`) and `JSONB` columns.
 * **Backend Runtime / Concurrency:** Python utilizing `asyncio` for concurrent HTTP API calls to AI providers, with strict rate-limiting via `asyncio.Semaphore`.
 * **Validation & Types:** Python with **Pydantic** model definitions. Incoming AI responses must be parsed and validated with Pydantic models *before* database insertion.
 * **ORM / Database Access:** SQLModel and SQLAlchemy, using parameterized statements and PostgreSQL-native types.
 ---
 ## Core System Directives for AI Code Generation
 ### 1. Data Immutability vs. Human Corrections
 * `job_source.raw_transcription` and `source.raw_transcription` represent original, point-in-time machine outputs and are **immutable**.
 * Human corrections occur on `source.revised_text`.
 * When fetching text for the UI, always display `COALESCE(source.revised_text, source.raw_transcription)`.
 ### 2. Async Execution & Batching Rules
 * A `job` represents an overarching execution run for a folder/group of images belonging to a single `document`.
 * Images are submitted to AI APIs **one at a time in rapid succession** using `asyncio` worker pools.
 * Each single-image API call populates a row in `job_source` with its own `status`, `raw_transcription`, `ai_metadata`, and `raw_api_response`.
 * If 9 of 10 pages succeed and 1 fails, `job_source.status` for the failed image becomes `'failed'`, while `job.status` becomes `'partial_success'`. Do not mark the entire batch as failed if partial results exist.
 ### 3. Entity Relationships
 * **Authors/Recipients:** A `document` can have multiple authors and recipients. Do NOT put direct `author_id` foreign keys on `document`. Query authors/recipients via `document_person` where `role = 'author'` or `role = 'recipient'`.
 * **Page Ordering:** Multi-page documents must always be queried using `ORDER BY page_number ASC`.
 ### 4. Database Mutations
 * Always use parameterized SQL queries (`$1`, `$2`) to prevent SQL injection.
 * Store datetimes using UTC ISO 8601 strings or native PostgreSQL `TIMESTAMPTZ`.
@@ -0,0 +1,416 @@
 # SQLModel Table Models
 These models implement the canonical [Version 2 database schema](../schema_v2.md). Each schema entity is represented by exactly one `SQLModel` table class. Because `SQLModel` is built on Pydantic and SQLAlchemy, these classes provide application validation and PostgreSQL mappings without parallel row and create models.
 Database-generated UUIDs and timestamps are `None` until PostgreSQL supplies their values during insert. The database columns remain non-nullable. `Person.metadata_` maps to the `metadata` column because `metadata` is reserved by SQLAlchemy's declarative API.
 ```python
 from datetime import date
 from datetime import datetime
 from enum import StrEnum
 from uuid import UUID
 from pydantic import JsonValue
 from sqlalchemy import Column
 from sqlalchemy import Date
 from sqlalchemy import DateTime
 from sqlalchemy import ForeignKey
 from sqlalchemy import Index
 from sqlalchemy import Integer
 from sqlalchemy import String
 from sqlalchemy import Text
 from sqlalchemy import UniqueConstraint
 from sqlalchemy import text
 from sqlalchemy.dialects.postgresql import JSONB
 from sqlalchemy.dialects.postgresql import UUID as PostgreSQLUUID
 from sqlmodel import Field
 from sqlmodel import Relationship
 from sqlmodel import SQLModel
 class PersonRole(StrEnum):
    AUTHOR = "author"
    RECIPIENT = "recipient"
 class JobStatus(StrEnum):
    QUEUED = "queued"
    PROCESSING = "processing"
    COMPLETED = "completed"
    PARTIAL_SUCCESS = "partial_success"
    FAILED = "failed"
 class JobSourceStatus(StrEnum):
    PENDING = "pending"
    TRANSCRIBED = "transcribed"
    FAILED = "failed"
 class Person(SQLModel, table=True):
    __tablename__ = "person"
    __table_args__ = (Index("idx_person_full_name", "full_name"),)
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    full_name: str = Field(sa_column=Column(Text, nullable=False))
    display_name: str | None = Field(default=None, sa_column=Column(Text))
    maiden_name: str | None = Field(default=None, sa_column=Column(Text))
    birth_date: date | None = Field(default=None, sa_column=Column(Date))
    birth_date_raw: str | None = Field(default=None, sa_column=Column(Text))
    birth_place: str | None = Field(default=None, sa_column=Column(Text))
    death_date: date | None = Field(default=None, sa_column=Column(Date))
    death_date_raw: str | None = Field(default=None, sa_column=Column(Text))
    death_place: str | None = Field(default=None, sa_column=Column(Text))
    biography: str | None = Field(default=None, sa_column=Column(Text))
    portrait_path: str | None = Field(default=None, sa_column=Column(Text))
    metadata_: JsonValue | None = Field(
        default_factory=dict,
        sa_column=Column(
            "metadata",
            JSONB,
            server_default=text("'{}'::jsonb"),
        ),
    )
    created_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    updated_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    document_people: list["DocumentPerson"] = Relationship(
        back_populates="person",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
 class Document(SQLModel, table=True):
    __tablename__ = "document"
    __table_args__ = (Index("idx_document_date", "document_date"),)
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    name: str = Field(sa_column=Column(Text, nullable=False))
    document_type: str | None = Field(default=None, sa_column=Column(Text))
    document_date: date | None = Field(default=None, sa_column=Column(Date))
    document_date_raw: str | None = Field(default=None, sa_column=Column(Text))
    location_created: str | None = Field(default=None, sa_column=Column(Text))
    notes: str | None = Field(default=None, sa_column=Column(Text))
    archive_identifier: str | None = Field(default=None, sa_column=Column(Text))
    created_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    updated_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    document_people: list["DocumentPerson"] = Relationship(
        back_populates="document",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
    jobs: list["Job"] = Relationship(
        back_populates="document",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
    sources: list["Source"] = Relationship(
        back_populates="document",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
 class DocumentPerson(SQLModel, table=True):
    __tablename__ = "document_person"
    __table_args__ = (
        UniqueConstraint(
            "document_id",
            "person_id",
            "role",
            name="unique_document_person_role",
        ),
        Index("idx_document_person_doc", "document_id"),
        Index("idx_document_person_per", "person_id"),
    )
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    document_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("document.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    person_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("person.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    role: PersonRole = Field(sa_column=Column(String(20), nullable=False))
    created_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    document: Document | None = Relationship(
        back_populates="document_people",
        sa_relationship_kwargs={"lazy": "raise"},
    )
    person: Person | None = Relationship(
        back_populates="document_people",
        sa_relationship_kwargs={"lazy": "raise"},
    )
 class Job(SQLModel, table=True):
    __tablename__ = "job"
    __table_args__ = (Index("idx_job_document", "document_id"),)
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    document_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("document.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    status: JobStatus = Field(
        default=JobStatus.QUEUED,
        sa_column=Column(
            String(50),
            nullable=False,
            server_default=text("'queued'"),
        ),
    )
    retry_count: int = Field(
        default=0,
        sa_column=Column(
            Integer,
            nullable=False,
            server_default=text("0"),
        ),
    )
    provider: str = Field(sa_column=Column(Text, nullable=False))
    model: str = Field(sa_column=Column(Text, nullable=False))
    prompt_name: str | None = Field(default=None, sa_column=Column(Text))
    date_created: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    date_updated: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    document: Document | None = Relationship(
        back_populates="jobs",
        sa_relationship_kwargs={"lazy": "raise"},
    )
    job_sources: list["JobSource"] = Relationship(
        back_populates="job",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
 class Source(SQLModel, table=True):
    __tablename__ = "source"
    __table_args__ = (
        Index("idx_source_document", "document_id"),
        Index("idx_source_page_order", "document_id", "page_number"),
    )
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    document_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("document.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    page_number: int = Field(
        default=1,
        sa_column=Column(
            Integer,
            nullable=False,
            server_default=text("1"),
        ),
    )
    upload_name: str = Field(sa_column=Column(Text, nullable=False))
    filename: str = Field(sa_column=Column(Text, nullable=False))
    file_path: str = Field(sa_column=Column(Text, nullable=False))
    raw_transcription: str | None = Field(default=None, sa_column=Column(Text))
    revised_text: str | None = Field(default=None, sa_column=Column(Text))
    date_uploaded: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    date_revised: datetime | None = Field(
        default=None,
        sa_column=Column(DateTime(timezone=True)),
    )
    document: Document | None = Relationship(
        back_populates="sources",
        sa_relationship_kwargs={"lazy": "raise"},
    )
    job_sources: list["JobSource"] = Relationship(
        back_populates="source",
        sa_relationship_kwargs={"lazy": "raise", "passive_deletes": True},
    )
 class JobSource(SQLModel, table=True):
    __tablename__ = "job_source"
    __table_args__ = (
        UniqueConstraint("job_id", "source_id", name="unique_job_source"),
        Index("idx_job_source_job", "job_id"),
        Index("idx_job_source_source", "source_id"),
        Index(
            "idx_job_source_ai_metadata",
            "ai_metadata",
            postgresql_using="gin",
        ),
    )
    id: UUID | None = Field(
        default=None,
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            primary_key=True,
            server_default=text("gen_random_uuid()"),
        ),
    )
    job_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("job.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    source_id: UUID = Field(
        sa_column=Column(
            PostgreSQLUUID(as_uuid=True),
            ForeignKey("source.id", ondelete="CASCADE"),
            nullable=False,
        ),
    )
    status: JobSourceStatus = Field(
        default=JobSourceStatus.PENDING,
        sa_column=Column(
            String(50),
            nullable=False,
            server_default=text("'pending'"),
        ),
    )
    raw_transcription: str | None = Field(default=None, sa_column=Column(Text))
    ai_metadata: JsonValue | None = Field(
        default=None,
        sa_column=Column(JSONB),
    )
    raw_api_response: JsonValue | None = Field(
        default=None,
        sa_column=Column(JSONB),
    )
    error_detail: str | None = Field(default=None, sa_column=Column(Text))
    executed_at: datetime | None = Field(
        default=None,
        sa_column=Column(
            DateTime(timezone=True),
            nullable=False,
            server_default=text("now()"),
        ),
    )
    job: Job | None = Relationship(
        back_populates="job_sources",
        sa_relationship_kwargs={"lazy": "raise"},
    )
    source: Source | None = Relationship(
        back_populates="job_sources",
        sa_relationship_kwargs={"lazy": "raise"},
    )
 ```
 The enum annotations validate application values while the mapped columns retain the `VARCHAR` types specified by the DDL. PostgreSQL owns generated UUIDs and timestamps through `server_default`; call `session.refresh(instance)` after a flush or commit when those generated values are needed immediately.
 `ai_metadata`, `raw_api_response`, and `metadata_` accept any JSON value supported by `JSONB`. Validate provider-specific payload structure before assigning it to these fields, while preserving the complete raw response in `raw_api_response`.
 Relationships use `lazy="raise"` to prevent implicit database I/O in async code. Queries must explicitly load relationships they need, for example with `selectinload()`.
 The schema's behavioral invariants are enforced outside the table shape where appropriate:
 - `PersonRole`, `JobStatus`, and `JobSourceStatus` define the exact values listed by the schema.
 - `unique_document_person_role` enforces role uniqueness for `(document_id, person_id, role)`.
 - Services order document sources by `Source.document_id` and `Source.page_number`.
 - Services derive aggregate `Job.status` from related `JobSource.status` values.
 - Services preserve `JobSource.raw_transcription` and `JobSource.raw_api_response` as point-in-time outputs while updating the active text on `Source`.
@@ -12,22 +12,37 @@ description = "Historical document transcription system"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
    "aiosqlite>=0.21.0",
    "asyncpg>=0.31.0",
    "fastapi>=0.138.0",
    "nicegui==3.13.0",
    "openrouter>=0.7.0",
    "psycopg2-binary>=2.9.12",
    "pydantic>=2.13.4",
    "pydantic-settings>=2.9.1",
    "sqlmodel>=0.0.25",
 ]
-[project.optional-dependencies]
+
 [dependency-groups]
 dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.25",
    "httpx2>=2.5.0",
    "ipykernel>=7.3.0",
    "ipywidgets>=8.1.8",
    "pre-commit>=4.6.0",
    "rich>=15.0.0",
    "ruff>=0.15.20",
    "ty>=0.0.54",
 ]
 [tool.pytest.ini_options]
 addopts = "--strict-markers -q"
 asyncio_mode = "strict"
 filterwarnings = [
    "error:coroutine .* was never awaited:RuntimeWarning",
 ]
 markers = [
    "unit: pure logic tests with no external dependencies",
    "integration: tests that touch framework or database contracts",
@@ -0,0 +1,62 @@
 line-length = 120
 indent-width = 4
 target-version = "py313"
 exclude = [
    ".venv",
    ".devenv",
    ".git",
    ".vscode",
    "build",
    "site",
    "__pycache__",
 ]
 [lint]
 preview = true
 extend-select = [
    "ARG",      # https://docs.astral.sh/ruff/rules/#flake8-unused-arguments-arg
 	"B",        # https://docs.astral.sh/ruff/rules/#flake8-bugbear-b
 	"C4",       # https://docs.astral.sh/ruff/rules/#flake8-comprehensions-c4
    "DOC102",   # https://docs.astral.sh/ruff/rules/docstring-extraneous-parameter/
    "DOC202",   # https://docs.astral.sh/ruff/rules/docstring-extraneous-returns/
    "DOC403",   # https://docs.astral.sh/ruff/rules/docstring-extraneous-yields/
    "DOC502",   # https://docs.astral.sh/ruff/rules/docstring-extraneous-exception/
 	"E", "W",   # https://docs.astral.sh/ruff/rules/#pycodestyle-e-w
 	"F",        # https://docs.astral.sh/ruff/rules/#pyflakes-f
    "FURB",     # https://docs.astral.sh/ruff/rules/#refurb-furb
 	"I",        # https://docs.astral.sh/ruff/rules/#isort-i
    "N",        # https://docs.astral.sh/ruff/rules/#pep8-naming-n
    "PD",       # https://docs.astral.sh/ruff/rules/#pandas-vet-pd
    "PTH",      # https://docs.astral.sh/ruff/rules/#flake8-use-pathlib-pth
 	"UP",       # https://docs.astral.sh/ruff/rules/#pyupgrade-up
 	"SIM",      # https://docs.astral.sh/ruff/rules/#flake8-simplify-sim
    "PLR0202",  # https://docs.astral.sh/ruff/rules/no-classmethod-decorator/
    "PLR0203",  # https://docs.astral.sh/ruff/rules/no-staticmethod-decorator/
    "PLR0206",  # https://docs.astral.sh/ruff/rules/property-with-parameters/
    "PLR0915",  # https://docs.astral.sh/ruff/rules/too-many-statements/
    "PLR1702",  # https://docs.astral.sh/ruff/rules/too-many-nested-blocks/
    "TRY002",
 ]
 extend-fixable = ["ALL"]
 ignore = [
    "UP046",
    "UP047",
 ]
 [lint.extend-per-file-ignores]
 "*.ipynb" = [
    "F401", # unused imports
    "F841", # unused local variable
    "F821", # undefined name in exploratory notebook cells
 ]
 [lint.isort]
 force-single-line = true
 [format]
 quote-style = "double"
 indent-style = "space"
 skip-magic-trailing-comma = false
 line-ending = "auto"
@@ -0,0 +1,27 @@
 import uvicorn
 from fastapi import FastAPI
 from .app import create_app
 from .config import parse_cli_settings
 def create_cli_app() -> FastAPI:
    """Create an app from CLI settings for Uvicorn's reload process."""
    return create_app(settings=parse_cli_settings())
 def main() -> None:
    settings = parse_cli_settings()
    application = "transcription.__main__:create_cli_app" if settings.reload else create_app(settings=settings)
    uvicorn.run(
        application,
        factory=settings.reload,
        host=settings.host,
        port=settings.port,
        log_level=settings.log_level,
        reload=settings.reload,
    )
 if __name__ == "__main__":
    main()
@@ -2,79 +2,105 @@
 from __future__ import annotations
 import logging
 from contextlib import AsyncExitStack
 from contextlib import asynccontextmanager
-from threading import Event
+from datetime import UTC
-from threading import Thread
+from datetime import datetime
 from datetime import timedelta
 from fastapi import FastAPI
-from sqlalchemy.ext.asyncio import async_sessionmaker
+from fastapi import status
-from sqlmodel.ext.asyncio.session import AsyncSession
+from fastapi.responses import RedirectResponse
 from fastapi.staticfiles import StaticFiles
 from .api.errors import register_error_handlers
 from .api.health import router as health_router
 from .config import Settings
 from .config import configure_logging
 from .config import get_settings
 from .db import cleanup_database
 from .db import create_all
 from .db import initialize_database_runtime
 from .db.engine import get_database_url
 from .db.engine import resolve_engine
 from .db.session import dispose_session_factory
 from .services import ServiceBundle
 from .services.jobs import JobService
 from .ui import register_pages
-from .worker import run_worker_loop
+from .worker import worker_consumer_lifespan
-
+logger = logging.getLogger(__name__)
 def _start_worker(app: FastAPI) -> None:
    session_factory: async_sessionmaker[AsyncSession] = app.state.db_session_factory
    stop_event = Event()
    worker_thread = Thread(
        target=run_worker_loop,
        kwargs={
            "session_factory": session_factory,
            "stop_event": stop_event,
            "poll_interval_seconds": 1.0,
        },
        daemon=True,
    )
    worker_thread.start()
    app.state.worker_stop_event = stop_event
    app.state.worker_thread = worker_thread
 def _stop_worker(app: FastAPI) -> None:
    stop_event = getattr(app.state, "worker_stop_event", None)
    worker_thread = getattr(app.state, "worker_thread", None)
    if stop_event is not None:
        stop_event.set()
    if worker_thread is not None:
        worker_thread.join(timeout=2.0)
@asynccontextmanager
 async def _lifespan(app: FastAPI):
-    configure_logging()
+    settings = getattr(app.state, "settings", None) or get_settings()
-
+    configure_logging(settings)
    settings = get_settings()
    app.state.settings = settings
-    runtime = initialize_database_runtime(settings=settings)
+    app.state.services = ServiceBundle()
-    app.state.db_engine = runtime.engine
+    app.state.runtime = initialize_database_runtime(settings=settings)
    app.state.db_session_factory = runtime.session_factory
    if settings.should_bootstrap_schema:
-        await create_all(engine=runtime.engine)
+        await create_all(engine=resolve_engine(settings=settings))
    settings.upload_dir.mkdir(parents=True, exist_ok=True)
    settings.prompt_dir.mkdir(parents=True, exist_ok=True)
-    _start_worker(app)
+    await _recover_stale_processing_jobs(app)
-    try:
+
    async with AsyncExitStack() as stack:
        stack.push_async_callback(
            dispose_session_factory,
            database_url=get_database_url(settings),
        )
        stop_event, worker_notifier = await stack.enter_async_context(
            worker_consumer_lifespan(
                session_factory=app.state.runtime.session_factory,
                poll_interval_seconds=1.0,
            )
        )
        app.state.worker_stop_event = stop_event
        app.state.worker_notifier = worker_notifier
        yield
    finally:
        _stop_worker(app)
        await cleanup_database()
-def create_app() -> FastAPI:
+async def _recover_stale_processing_jobs(app: FastAPI) -> None:
    """Re-queue stale processing jobs at startup.
    Any job left in PROCESSING longer than the configured provider timeout is
    assumed orphaned and moved back to QUEUED before the worker starts.
    """
    settings = app.state.settings
    stale_before = datetime.now(UTC) - timedelta(seconds=settings.worker_provider_timeout_seconds)
    job_service = JobService(session_factory=app.state.runtime.session_factory)
    recovered = await job_service.requeue_stale_processing_jobs(stale_before=stale_before)
    if recovered > 0:
        logger.warning("Recovered %s stale processing job(s) at startup", recovered)
 def create_app(settings: Settings | None = None) -> FastAPI:
    """Create and configure the FastAPI application."""
    app = FastAPI(title="Transcription", lifespan=_lifespan)
    active_settings = settings or get_settings()
    app.state.settings = active_settings
    app.mount(
        "/uploads",
        StaticFiles(directory=active_settings.upload_dir, check_dir=False),
        name="uploads",
    )
    @app.get("/", include_in_schema=False)
    async def root_redirect() -> RedirectResponse:
        return RedirectResponse(url="/ui", status_code=status.HTTP_307_TEMPORARY_REDIRECT)
    @app.get("/ui", include_in_schema=False)
    async def ui_redirect() -> RedirectResponse:
        return RedirectResponse(url="/ui/upload", status_code=status.HTTP_307_TEMPORARY_REDIRECT)
    @app.get("/healthz")
    def health() -> dict[str, str]:
        return {"status": "ok"}
    register_error_handlers(app)
    register_pages(app)
    app.include_router(health_router)
@@ -0,0 +1,39 @@
 """Helpers for accessing lifespan-owned application state resources."""
 from __future__ import annotations
 from fastapi import FastAPI
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlmodel.ext.asyncio.session import AsyncSession
 from transcription.db.runtime import DatabaseRuntime
 from transcription.db.session import get_session_factory
 from transcription.worker import WorkerNotifier
 from transcription.worker import resolve_worker_notifier
 def resolve_database_runtime(state: object) -> DatabaseRuntime | None:
    """Return database runtime from app-like state objects when available."""
    runtime = getattr(state, "runtime", None)
    return runtime if isinstance(runtime, DatabaseRuntime) else None
 def require_database_runtime(state: object) -> DatabaseRuntime:
    """Return database runtime or raise when app lifespan has not initialized it."""
    runtime = resolve_database_runtime(state)
    if runtime is None:
        raise RuntimeError("Database runtime is not initialized on application state")
    return runtime
 def resolve_session_factory(state: object) -> async_sessionmaker[AsyncSession]:
    """Return DB session factory from state when available, otherwise shared runtime."""
    runtime = resolve_database_runtime(state)
    if runtime is not None:
        return runtime.session_factory
    return get_session_factory()
 def get_worker_notifier(app: FastAPI) -> WorkerNotifier:
    """Return app worker notifier, or a no-op fallback when unavailable."""
    return resolve_worker_notifier(app.state)
@@ -6,11 +6,17 @@ are resolved by the provider adapters, not here.
 """
 import logging.config
-from contextvars import ContextVar
+from collections.abc import Sequence
 from enum import StrEnum
 from functools import cache
 from pathlib import Path
 from typing import Annotated
 from typing import Any
 from typing import Literal
 from pydantic import BaseModel
 from pydantic import Field
 from pydantic import SecretStr
 from pydantic_settings import BaseSettings
 from pydantic_settings import SettingsConfigDict
@@ -21,13 +27,42 @@ class Provider(StrEnum):
    OPENROUTER = "openrouter"
 class SqliteSettings(BaseModel):
    driver: Literal["sqlite"] = "sqlite"
    path: str = "app.db"
 class PostgresSettings(BaseModel):
    driver: Literal["postgres"] = "postgres"
    host: str
    port: int = 5432
    database: str
    user: str
    password: SecretStr
 DatabaseSettings = Annotated[
    SqliteSettings | PostgresSettings,
    Field(discriminator="driver"),
 ]
 class Settings(BaseSettings):
    model_config = SettingsConfigDict(
        env_file=".env",
        env_file_encoding="utf-8",
        extra="ignore",
        env_nested_delimiter="__",
        cli_implicit_flags=True,
        cli_kebab_case=True,
    )
    # --- NiceGUI Server ---
    host: str = "0.0.0.0"
    port: int = 8000
    log_level: Literal["critical", "error", "warning", "info", "debug", "trace"] = "info"
    reload: bool = False
    # --- AI provider ---
    provider: Provider = Provider.OPENROUTER
    openrouter_api_key: str
@@ -39,8 +74,9 @@ class Settings(BaseSettings):
    environment: Literal["development", "test", "production"] = "development"
    # --- persistence ---
-    database_url: str = "sqlite:///./transcription.db"
+    database: DatabaseSettings = Field(default_factory=SqliteSettings)
-    bootstrap_schema_on_startup: bool | None = None
+    bootstrap_schema_on_startup: bool = False
    sqlite_check_same_thread: bool = False
    # --- filesystem paths ---
    upload_dir: Path = Path("./uploads")
@@ -49,32 +85,37 @@ class Settings(BaseSettings):
    # --- worker reliability ---
    worker_max_retries: int = 0
    worker_retry_backoff_seconds: float = 0.0
    worker_provider_timeout_seconds: float = Field(default=20.0, gt=0.0, le=20.0)
    worker_min_transcription_chars: int = Field(default=0, ge=0)
    worker_min_transcription_lines: int = Field(default=0, ge=0)
    worker_fail_on_finish_reason_length: bool = False
    @property
    def should_bootstrap_schema(self) -> bool:
        """Return whether startup should auto-create schema for this environment."""
-        if self.bootstrap_schema_on_startup is not None:
+        if "bootstrap_schema_on_startup" in self.model_fields_set:
            return self.bootstrap_schema_on_startup
        return self.environment in {"development", "test"}
-_settings: ContextVar[Settings | None] = ContextVar("settings", default=None)
+@cache
 def get_settings(**kwargs: Any) -> Settings:
    """Load cached settings without reading process CLI arguments."""
    return Settings(_cli_parse_args=False, **kwargs)  # pyright: ignore[reportCallIssue]
-def get_settings() -> Settings:
+def parse_cli_settings(args: Sequence[str] | None = None) -> Settings:
-    settings = _settings.get()
+    """Load settings with CLI arguments at the executable boundary."""
-    if settings is None:
+    cli_args = True if args is None else list(args)
-        settings = Settings()  # pyright: ignore[reportCallIssue]
+    return Settings(_cli_parse_args=cli_args)  # pyright: ignore[reportCallIssue]
        _settings.set(settings)
    return settings
-LOGGING_CONFIG: dict[str, object] = {
+LOGGING_CONFIG: dict[str, Any] = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "standard": {
-            "format": "%(asctime)s | %(levelname)-8s | %(name)s | %(message)s",
+            "format": "%(asctime)s %(levelname)-8s | %(message)s",
            "datefmt": "%Y-%m-%d %H:%M:%S",
        }
    },
@@ -99,7 +140,10 @@ LOGGING_CONFIG: dict[str, object] = {
 }
-def configure_logging() -> None:
+def configure_logging(settings: Settings | None = None) -> None:
    """Configure root logging once at startup."""
-    logging.config.dictConfig(LOGGING_CONFIG)
+    cfg = LOGGING_CONFIG.copy()
    active_settings = settings or get_settings()
    cfg["loggers"]["transcription"]["level"] = active_settings.log_level.upper()
    logging.config.dictConfig(cfg)
    logger.debug("Logging configured")
@@ -1,147 +0,0 @@
 """Database runtime ownership, schema bootstrap, and session access.
 V1 moves database resource ownership to explicit runtime initialization so
 startup/shutdown behavior is predictable and lifespan-managed.
 """
 from __future__ import annotations
 import contextlib
 import logging
 from collections.abc import AsyncGenerator
 from dataclasses import dataclass
 from sqlalchemy import inspect
 from sqlalchemy import text
 from sqlalchemy.engine import Connection
 from sqlalchemy.ext.asyncio import AsyncEngine
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlalchemy.ext.asyncio import create_async_engine
 from sqlmodel import SQLModel
 from sqlmodel.ext.asyncio.session import AsyncSession
 from .config import Settings
 from .config import get_settings
 logger = logging.getLogger(__name__)
@dataclass(frozen=True)
 class DatabaseRuntime:
    """Database runtime resources owned by app lifespan."""
    engine: AsyncEngine
    session_factory: async_sessionmaker[AsyncSession]
 _runtime: DatabaseRuntime | None = None
 def _to_async_database_url(database_url: str) -> str:
    """Normalize configured database URL to an async SQLAlchemy driver URL."""
    if database_url.startswith("sqlite://") and not database_url.startswith("sqlite+aiosqlite://"):
        return database_url.replace("sqlite://", "sqlite+aiosqlite://", 1)
    if database_url.startswith("postgresql://") and not database_url.startswith("postgresql+asyncpg://"):
        return database_url.replace("postgresql://", "postgresql+asyncpg://", 1)
    return database_url
 def _build_engine(settings: Settings) -> AsyncEngine:
    database_url = _to_async_database_url(settings.database_url)
    connect_args: dict[str, object] = {}
    if database_url.startswith("sqlite"):
        connect_args["check_same_thread"] = False
    return create_async_engine(
        url=database_url,
        echo=False,
        pool_pre_ping=True,
        connect_args=connect_args,
    )
 def initialize_database_runtime(*, settings: Settings | None = None) -> DatabaseRuntime:
    """Initialize lifespan-owned async DB resources once per process."""
    global _runtime
    if _runtime is not None:
        return _runtime
    active_settings = settings or get_settings()
    engine = _build_engine(active_settings)
    session_factory = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
    _runtime = DatabaseRuntime(engine=engine, session_factory=session_factory)
    logger.debug("Initialized async database runtime for database_url=%s", engine.url)
    return _runtime
 def get_engine() -> AsyncEngine:
    """Return the current async SQLAlchemy engine."""
    runtime = _runtime or initialize_database_runtime()
    return runtime.engine
 def get_session_factory() -> async_sessionmaker[AsyncSession]:
    """Return the shared async session factory."""
    runtime = _runtime or initialize_database_runtime()
    return runtime.session_factory
 async def cleanup_database() -> None:
    """Cleanup database runtime resources."""
    await dispose_database_runtime()
 async def dispose_database_runtime() -> None:
    """Dispose lifespan-owned async database resources."""
    global _runtime
    if _runtime is None:
        return
    await _runtime.engine.dispose()
    _runtime = None
 async def create_all(*, engine: AsyncEngine | None = None) -> None:
    """Create all tables on the selected engine."""
    # Import models so SQLModel metadata is fully registered before bootstrap.
    from transcription import models as _models  # noqa: F401
    active_engine = engine or get_engine()
    async with active_engine.begin() as connection:
        await connection.run_sync(SQLModel.metadata.create_all)
        await connection.run_sync(_ensure_sqlite_compat_columns)
    logger.debug("Database schema bootstrap complete for database_url=%s", active_engine.url)
 def _ensure_sqlite_compat_columns(connection: Connection) -> None:
    """Apply lightweight dev/test SQLite compatibility column patches.
    This keeps local bootstrap resilient when models evolve but no full
    migration tooling is in place yet.
    """
    if connection.engine.url.get_backend_name() != "sqlite":
        return
    inspector = inspect(connection)
    table_names = set(inspector.get_table_names())
    if "job" not in table_names:
        return
    columns = {column["name"] for column in inspector.get_columns("job")}
    if "retry_count" not in columns:
        connection.execute(text("ALTER TABLE job ADD COLUMN retry_count INTEGER NOT NULL DEFAULT 0"))
        logger.warning("Applied SQLite compatibility schema patch table=job column=retry_count default=0")
@contextlib.asynccontextmanager
 async def get_session(
    *,
    session_factory: async_sessionmaker[AsyncSession] | None = None,
 ) -> AsyncGenerator[AsyncSession]:
    """Yield a database session and ensure cleanup."""
    active_session_factory = session_factory or get_session_factory()
    async with active_session_factory() as session:
        yield session
 def should_bootstrap_schema(settings: Settings) -> bool:
    """Compatibility helper for explicit bootstrap checks."""
    return settings.should_bootstrap_schema
@@ -0,0 +1,13 @@
 from .operations import create_all
 from .runtime import dispose_database_runtime
 from .runtime import initialize_database_runtime
 from .session import session_scope
 from .session import transaction_scope
 __all__ = [
    "create_all",
    "dispose_database_runtime",
    "initialize_database_runtime",
    "session_scope",
    "transaction_scope",
 ]
@@ -0,0 +1,60 @@
 from functools import cache
 from typing import Any
 from sqlalchemy import URL
 from sqlalchemy import StaticPool
 from sqlalchemy.ext.asyncio import AsyncEngine
 from sqlalchemy.ext.asyncio import create_async_engine
 from ..config import PostgresSettings
 from ..config import Settings
 from ..config import SqliteSettings
 from ..config import get_settings
 def get_database_url(settings: Settings) -> str:
    match settings.database:
        case SqliteSettings(path=path):
            url = URL.create(
                drivername="sqlite+aiosqlite",
                database=path,
            )
        case PostgresSettings() as database:
            url = URL.create(
                drivername="postgresql+asyncpg",
                host=database.host,
                port=database.port,
                database=database.database,
                username=database.user,
                password=database.password.get_secret_value(),
            )
    return url.render_as_string(hide_password=False)
 def resolve_engine(settings: Settings | None = None) -> AsyncEngine:
    active_settings = settings or get_settings()
    return get_engine(get_database_url(active_settings))
@cache
 def get_engine(database_url: str) -> AsyncEngine:
    kwargs: dict[str, Any] = {"echo": False, "pool_pre_ping": True}
    if database_url.startswith("sqlite"):
        kwargs["connect_args"] = {"check_same_thread": False}
        if ":memory:" in database_url:
            kwargs["poolclass"] = StaticPool
    return create_async_engine(database_url, **kwargs)
 async def dispose_engine(database_url: str) -> None:
    engine = get_engine(database_url)
    try:
        await engine.dispose()
    finally:
        get_engine.cache_clear()
 async def refresh_engine(database_url: str) -> AsyncEngine:
    await dispose_engine(database_url)
    return get_engine(database_url)
@@ -0,0 +1,110 @@
 """SQLModel domain models for the transcription system.
 Core V1 lifecycle:
    Document  ->  one-to-many  ->  Source
    Document  ->  one-to-many  ->  Job
    Source    ->  one-to-one?  ->  Revision (optional)
 """
 from datetime import UTC
 from datetime import datetime
 from enum import StrEnum
 from typing import Optional
 from uuid import UUID
 from uuid import uuid4
 from sqlalchemy import UniqueConstraint
 from sqlmodel import Field
 from sqlmodel import Relationship
 from sqlmodel import SQLModel
 class JobStatus(StrEnum):
    QUEUED = "queued"
    PROCESSING = "processing"
    TRANSCRIBED = "transcribed"
    FAILED = "failed"
 class Document(SQLModel, table=True):
    """An historical document."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    name: str
    # Relationships
    jobs: list["Job"] = Relationship(back_populates="document")
    sources: list["Source"] = Relationship(back_populates="document")
 class Source(SQLModel, table=True):
    """A document source (image or PDF)."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    document_id: UUID = Field(foreign_key="document.id")
    job_id: UUID = Field(foreign_key="job.id")
    upload_name: str
    """The filename of the source that was uploaded for transcription."""
    filename: str
    """The system generated unique source name."""
    file_path: str
    """The location where the sources are stored on the local filesystem."""
    date_uploaded: datetime = Field(default_factory=lambda: datetime.now(UTC))
    # Relationships
    document: Optional["Document"] = Relationship(back_populates="sources")
    job: Optional["Job"] = Relationship(back_populates="sources")
    revision: Optional["Revision"] = Relationship(
        back_populates="source",
        sa_relationship_kwargs={"uselist": False},
    )
 class Job(SQLModel, table=True):
    """A transcription job tied to a single document."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    document_id: UUID = Field(foreign_key="document.id")
    status: JobStatus = Field(default=JobStatus.QUEUED)
    retry_count: int = Field(default=0, ge=0)
    date_created: datetime = Field(default_factory=lambda: datetime.now(UTC))
    date_updated: datetime = Field(default_factory=lambda: datetime.now(UTC))
    provider: str | None = None
    """Name of the transcription provider used to generate this transcript."""
    model: str | None = None
    """Model identifier used to generate this transcript."""
    prompt_name: str | None = None
    """Name of the prompt used to generate this transcript."""
    text: str | None = None
    """The transcribed text. This may be None if the job failed or is still in progress."""
    error_detail: str | None = None
    """Details of any error that occurred during transcription."""
    # Relationships
    document: Optional["Document"] = Relationship(back_populates="jobs")
    sources: list["Source"] = Relationship(back_populates="job")
    @property
    def filename(self) -> str:
        """Return the filename of the associated source, when available."""
        if not self.sources:
            return "unknown"
        return self.sources[0].filename
 class Revision(SQLModel, table=True):
    """A revision of a transcription text."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    source_id: UUID = Field(foreign_key="source.id")
    """ID for the associated source."""
    revision: int = Field(default=1, ge=1)
    """Revision number of this transcription revision, starting at 1."""
    text: str
    """The revised text."""
    date_created: datetime = Field(default_factory=lambda: datetime.now(UTC))
    __table_args__ = (UniqueConstraint("source_id", name="uq_revision_source_id"),)
    # Relationships
    source: Optional["Source"] = Relationship(back_populates="revision")
@@ -0,0 +1,75 @@
 from __future__ import annotations
 import logging
 from sqlalchemy import inspect
 from sqlalchemy import text
 from sqlalchemy.engine import Connection
 from sqlalchemy.ext.asyncio import AsyncEngine
 from sqlmodel import SQLModel
 from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
 from .engine import resolve_engine
 from .models import Job
 from .models import JobStatus
 logger = logging.getLogger(__name__)
 async def create_all(*, engine: AsyncEngine | None = None) -> None:
    """Create all tables on the selected engine."""
    # Import models so SQLModel metadata is fully registered before bootstrap.
    from transcription.db import models as _models  # noqa: F401
    active_engine = engine or resolve_engine()
    async with active_engine.begin() as connection:
        await connection.run_sync(SQLModel.metadata.create_all)
        await connection.run_sync(_ensure_sqlite_compat_columns)
    logger.debug("Database schema bootstrap complete for database_url=%s", active_engine.url)
 async def get_next_queued_job(*, session: AsyncSession) -> Job | None:
    """Get the next queued job, if any."""
    result = await session.exec(
        select(Job)
        .where(Job.status == JobStatus.QUEUED)
        .order_by(Job.date_created)  # pyright: ignore[reportArgumentType]
        .limit(1)
    )  # fmt: skip
    return result.first()
 def _ensure_sqlite_compat_columns(connection: Connection) -> None:
    """Apply lightweight dev/test SQLite compatibility column patches.
    This keeps local bootstrap resilient when models evolve but no full
    migration tooling is in place yet.
    """
    if connection.engine.url.get_backend_name() != "sqlite":
        return
    inspector = inspect(connection)
    table_names = set(inspector.get_table_names())
    if "job" in table_names:
        job_columns = {column["name"] for column in inspector.get_columns("job")}
        if "retry_count" not in job_columns:
            connection.execute(text("ALTER TABLE job ADD COLUMN retry_count INTEGER NOT NULL DEFAULT 0"))
            logger.warning("Applied SQLite compatibility schema patch table=job column=retry_count default=0")
    if "revision" in table_names:
        revision_columns = {column["name"] for column in inspector.get_columns("revision")}
        if "source_id" in revision_columns:
            has_unique_source = False
            for index in inspector.get_indexes("revision"):
                if index.get("unique") and index.get("column_names") == ["source_id"]:
                    has_unique_source = True
                    break
            if not has_unique_source:
                connection.execute(
                    text("CREATE UNIQUE INDEX IF NOT EXISTS ux_revision_source_id ON revision(source_id)")
                )
                logger.warning(
                    "Applied SQLite compatibility schema patch table=revision unique_index=ux_revision_source_id"
                )
@@ -0,0 +1,51 @@
 import logging
 from contextvars import ContextVar
 from dataclasses import dataclass
 from sqlalchemy.ext.asyncio import AsyncEngine
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..config import Settings
 from ..config import get_settings
 from .engine import get_database_url
 from .engine import get_engine
 from .session import get_session_factory
 logger = logging.getLogger(__name__)
@dataclass(frozen=True)
 class DatabaseRuntime:
    """Database runtime resources owned by app lifespan."""
    engine: AsyncEngine
    session_factory: async_sessionmaker[AsyncSession]
 _runtime: ContextVar[DatabaseRuntime | None] = ContextVar("database_runtime", default=None)
 async def dispose_database_runtime() -> None:
    """Dispose lifespan-owned async database resources."""
    runtime = _runtime.get()
    if runtime is None:
        return
    await runtime.engine.dispose()
    _runtime.set(None)
 def initialize_database_runtime(*, settings: Settings | None = None) -> DatabaseRuntime:
    """Initialize lifespan-owned async DB resources once per process."""
    runtime = _runtime.get()
    if runtime is not None:
        return runtime
    active_settings = settings or get_settings()
    database_url = get_database_url(active_settings)
    engine = get_engine(database_url)
    session_factory = get_session_factory(database_url)
    runtime = DatabaseRuntime(engine=engine, session_factory=session_factory)
    _runtime.set(runtime)
    logger.debug("Initialized async database runtime for database_url=%s", engine.url)
    return runtime
@@ -0,0 +1,99 @@
 from collections.abc import AsyncGenerator
 from contextlib import asynccontextmanager
 from functools import cache
 from typing import Annotated
 from fastapi import Depends
 from sqlalchemy.ext.asyncio import AsyncSessionTransaction
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..config import Settings
 from ..config import get_settings
 from .engine import dispose_engine
 from .engine import get_database_url
 from .engine import get_engine
 type SessionFactory = async_sessionmaker[AsyncSession]
@cache
 def get_session_factory(database_url: str) -> SessionFactory:
    return async_sessionmaker(
        bind=get_engine(database_url),
        class_=AsyncSession,
        expire_on_commit=False,
    )
 def resolve_session_factory(
    database_url: str | None = None,
    *,
    settings: Settings | None = None,
 ) -> SessionFactory:
    if database_url is not None:
        return get_session_factory(database_url)
    return get_session_factory(get_database_url(settings or get_settings()))
 type SessionFactoryDep = Annotated[SessionFactory, Depends(resolve_session_factory)]
 async def dispose_session_factory(database_url: str) -> None:
    get_session_factory.cache_clear()
    await dispose_engine(database_url)
@asynccontextmanager
 async def session_scope(
    *,
    settings: Settings | None = None,
    database_url: str | None = None,
    session_factory: SessionFactory | None = None,
    session: AsyncSession | None = None,
 ) -> AsyncGenerator[AsyncSession]:
    if session is not None:
        yield session
        return
    active_session_factory = session_factory or resolve_session_factory(
        database_url,
        settings=settings,
    )
    async with active_session_factory() as owned_session:
        yield owned_session
 type SessionScopeDep = Annotated[AsyncSession, Depends(session_scope)]
@asynccontextmanager
 async def transaction_scope(
    *,
    settings: Settings | None = None,
    database_url: str | None = None,
    session_factory: SessionFactory | None = None,
    session: AsyncSession | AsyncSessionTransaction | None = None,
 ) -> AsyncGenerator[AsyncSession | AsyncSessionTransaction]:
    match session:
        case AsyncSession() as async_session:
            if not async_session.in_transaction():
                raise RuntimeError("A supplied session must have an active transaction")
            yield async_session
            return
        case AsyncSessionTransaction() as async_transaction:
            yield async_transaction
            return
    active_session_factory = session_factory or resolve_session_factory(
        database_url,
        settings=settings,
    )
    async with active_session_factory.begin() as owned_session:
        yield owned_session
 type TransactionScopeDep = Annotated[
    AsyncSession | AsyncSessionTransaction,
    Depends(transaction_scope),
 ]
@@ -17,6 +17,7 @@ class ErrorCategory(StrEnum):
    NOT_FOUND = "not_found_error"
    CONFLICT = "conflict_error"
    EXTERNAL_PROVIDER = "external_provider_error"
    PROCESSING = "processing_error"
    INFRA_TRANSIENT = "infrastructure_transient_error"
    INFRA_PERSISTENT = "infrastructure_persistent_error"
    INTERNAL_UNEXPECTED = "internal_unexpected_error"
@@ -81,7 +82,4 @@ def classify_unexpected_error(exc: Exception, *, operation: str) -> AppError:
 def format_error_detail(error: AppError) -> str:
    """Return a compact persisted failure string for transcript.error_detail."""
-    return (
+    return f"[{error.category.value}] {error.message} | suggestion={error.suggestion} | error_id={error.error_id}"
        f"[{error.category.value}] {error.message} | "
        f"suggestion={error.suggestion} | error_id={error.error_id}"
    )
@@ -1,71 +0,0 @@
 """SQLModel domain models for the transcription system.
 Three models capture the MVP lifecycle:
  Document  ->  one-to-many  ->  Job  ->  one-to-one  ->  Transcript
 """
 from datetime import UTC
 from datetime import datetime
 from enum import StrEnum
 from typing import Optional
 from uuid import UUID
 from uuid import uuid4
 from sqlmodel import Field
 from sqlmodel import Relationship
 from sqlmodel import SQLModel
 class JobStatus(StrEnum):
    QUEUED = "queued"
    PROCESSING = "processing"
    TRANSCRIBED = "transcribed"
    FAILED = "failed"
 class Document(SQLModel, table=True):
    """An uploaded document image."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    filename: str
    file_path: str
    uploaded_at: datetime = Field(
        default_factory=lambda: datetime.now(UTC),
    )
    # --- relationships ---
    jobs: list["Job"] = Relationship(back_populates="document")
 class Job(SQLModel, table=True):
    """A transcription job tied to a single document."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    document_id: UUID = Field(foreign_key="document.id")
    status: JobStatus = Field(default=JobStatus.QUEUED)
    retry_count: int = Field(default=0, ge=0)
    created_at: datetime = Field(
        default_factory=lambda: datetime.now(UTC),
    )
    updated_at: datetime = Field(
        default_factory=lambda: datetime.now(UTC),
    )
    # --- relationships ---
    document: Document = Relationship(back_populates="jobs")
    transcript: Optional["Transcript"] = Relationship(back_populates="job")
 class Transcript(SQLModel, table=True):
    """The output of a transcription job."""
    id: UUID = Field(default_factory=uuid4, primary_key=True)
    job_id: UUID = Field(foreign_key="job.id", unique=True)
    text: str | None = None
    error_detail: str | None = None
    created_at: datetime = Field(
        default_factory=lambda: datetime.now(UTC),
    )
    # --- relationships ---
    job: Job = Relationship(back_populates="transcript")
@@ -22,11 +22,17 @@ class TranscriptionResult:
    text: str
    provider: str
    prompt_name: str
    model: str
    finish_reason: str | None = None
    usage_input_tokens: int | None = None
    usage_output_tokens: int | None = None
    usage_total_tokens: int | None = None
 class TranscriptionProvider(Protocol):
    """Contract every transcription provider adapter must satisfy."""
-    def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
+    async def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
        """Transcribe the provided image according to the prompt text."""
        ...
@@ -6,8 +6,10 @@ import base64
 import logging
 from dataclasses import dataclass
 from typing import Any
 from typing import cast
 from openrouter import OpenRouter
 from openrouter.components.chatmessages import ChatMessagesTypedDict
 from transcription.config import Settings
 from transcription.config import get_settings
@@ -44,12 +46,12 @@ class OpenRouterTranscriptionProvider:
        """Return the resolved OpenRouter model slug."""
        return self._model
-    def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
+    async def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
        """Send prompt + image to OpenRouter and return normalized text output."""
        request = self._build_request(prompt_text=prompt_text, image_bytes=image_bytes, mime_type=mime_type)
        try:
-            response = self._client.chat.send(
+            response = await self._client.chat.send_async(
-                messages=request.messages,
+                messages=cast(list[ChatMessagesTypedDict], request.messages),
                model=request.model,
                http_referer=request.http_referer,
                x_open_router_title=request.x_open_router_title,
@@ -62,8 +64,19 @@ class OpenRouterTranscriptionProvider:
        text = self._extract_text(response)
        model = self._get_optional_attr(response, "model") or self.model
        finish_reason = self._extract_finish_reason(response)
        usage_input_tokens, usage_output_tokens, usage_total_tokens = self._extract_usage(response)
        logger.info("OpenRouter transcription completed using model=%s", model)
-        return TranscriptionResult(text=text, provider="openrouter", model=model)
+        return TranscriptionResult(
            text=text,
            provider="openrouter",
            prompt_name="",
            model=model,
            finish_reason=finish_reason,
            usage_input_tokens=usage_input_tokens,
            usage_output_tokens=usage_output_tokens,
            usage_total_tokens=usage_total_tokens,
        )
    def _build_request(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> OpenRouterRequest:
        image_b64 = base64.b64encode(image_bytes).decode("ascii")
@@ -102,6 +115,34 @@ class OpenRouterTranscriptionProvider:
            raise ProviderResponseError("OpenRouter response contained no transcription text")
        return text
    def _extract_finish_reason(self, response: Any) -> str | None:
        choices = self._get_optional_attr(response, "choices")
        if not choices:
            return None
        first_choice = choices[0]
        finish_reason = self._get_optional_attr(first_choice, "finish_reason")
        if isinstance(finish_reason, str) and finish_reason.strip():
            return finish_reason.strip()
        return None
    def _extract_usage(self, response: Any) -> tuple[int | None, int | None, int | None]:
        usage = self._get_optional_attr(response, "usage")
        if usage is None:
            return None, None, None
        input_tokens = self._as_int(self._get_optional_attr(usage, "prompt_tokens"))
        output_tokens = self._as_int(self._get_optional_attr(usage, "completion_tokens"))
        total_tokens = self._as_int(self._get_optional_attr(usage, "total_tokens"))
        if input_tokens is None:
            input_tokens = self._as_int(self._get_optional_attr(usage, "input_tokens"))
        if output_tokens is None:
            output_tokens = self._as_int(self._get_optional_attr(usage, "output_tokens"))
        if total_tokens is None:
            total_tokens = self._as_int(self._get_optional_attr(usage, "total"))
        return input_tokens, output_tokens, total_tokens
    def _normalize_content(self, content: Any) -> str:
        if isinstance(content, str):
            return content.strip()
@@ -125,3 +166,9 @@ class OpenRouterTranscriptionProvider:
        if isinstance(obj, dict):
            return obj.get(key)
        return getattr(obj, key, None)
    @staticmethod
    def _as_int(value: Any) -> int | None:
        if isinstance(value, int):
            return value
        return None
@@ -1,25 +1,19 @@
 """Service layer exports."""
-from transcription.services.transcription import DEFAULT_PROMPT_FILE
+from dataclasses import dataclass
-from transcription.services.transcription import PromptLoadError
+from dataclasses import field
 from transcription.services.transcription import TranscriptionError
 from transcription.services.transcription import load_image_payload
 from transcription.services.transcription import load_prompt_text
 from transcription.services.transcription import transcribe_document_image
 from transcription.services.upload import SUPPORTED_UPLOAD_EXTENSIONS
 from transcription.services.upload import UploadError
 from transcription.services.upload import UploadJobResult
 from transcription.services.upload import create_upload_job
-__all__ = [
+from .documents import DocumentService
-    "DEFAULT_PROMPT_FILE",
+from .jobs import JobService
-    "SUPPORTED_UPLOAD_EXTENSIONS",
+from .transcription import TranscriptionService
-    "PromptLoadError",
+
-    "TranscriptionError",
+__all__ = ["DocumentService", "JobService", "ServiceBundle", "TranscriptionService"]
-    "UploadError",
+
-    "UploadJobResult",
+
-    "create_upload_job",
+@dataclass(frozen=True, slots=True)
-    "load_image_payload",
+class ServiceBundle:
-    "load_prompt_text",
+    """Container for all service instances."""
-    "transcribe_document_image",
+
-]
+    documents: DocumentService = field(default_factory=DocumentService)
    jobs: JobService = field(default_factory=JobService)
    transcriptions: TranscriptionService = field(default_factory=TranscriptionService)
@@ -0,0 +1,59 @@
 import asyncio
 from abc import ABC
 from collections.abc import Sequence
 from contextlib import asynccontextmanager
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..config import Settings
 from ..config import get_settings
 from ..db.session import resolve_session_factory
 from ..db.session import session_scope
 class ServiceBase(ABC):
    """Thin service class for managing documents in the database."""
    settings: Settings
    session_factory: async_sessionmaker[AsyncSession]
    queue: asyncio.Queue
    def __init__(
        self,
        session_factory: async_sessionmaker[AsyncSession] | None = None,
        queue: asyncio.Queue | None = None,
    ):
        self.settings = get_settings()
        self.session_factory = session_factory or resolve_session_factory()
        self.queue = queue or asyncio.Queue()
    @asynccontextmanager
    async def _session_scope(self, session: AsyncSession | None = None):
        """Provide a transactional scope around a series of operations."""
        async with session_scope(
            session_factory=self.session_factory,
            session=session,
        ) as active_session:
            yield active_session
    async def _finalize(
        self,
        *,
        session: AsyncSession,
        caller_session: AsyncSession | None,
        refresh: Sequence[object] = (),
    ) -> None:
        """Finalize a write based on transaction ownership.
        Service-owned sessions commit immediately. Caller-owned sessions flush so
        orchestration code can commit once at a larger transaction boundary.
        """
        should_commit = caller_session is None
        if should_commit:
            await session.commit()
        else:
            await session.flush()
        for obj in refresh:
            await session.refresh(obj)
@@ -0,0 +1,130 @@
 import logging
 from collections.abc import Sequence
 from dataclasses import dataclass
 from pathlib import Path
 from uuid import UUID
 from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import selectinload
 from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..db.models import Document
 from ..errors import AppError
 from ..errors import ErrorCategory
 from .base import ServiceBase
 logger = logging.getLogger(__name__)
 class DocumentError(AppError):
    """Raised when document operations fail."""
 class MissingSourceError(DocumentError):
    """Raised when a document has no associated sources."""
 class UploadError(DocumentError):
    """Raised when uploaded content cannot be persisted safely."""
 class DocumentAlreadyExistsError(DocumentError):
    """Raised when a document with the same name already exists in the database."""
@dataclass(frozen=True)
 class UploadJobResult:
    """Summary of created upload records."""
    document_id: UUID
    job_id: UUID
    stored_path: Path
    original_filename: str
 class DocumentService(ServiceBase):
    """Thin service class for managing documents in the database."""
    #
    # CRUD Operations
    #
    async def create_document(
        self,
        document: Document,
        *,
        session: AsyncSession | None = None,
    ) -> Document:
        """Create a new document in the database."""
        async with self._session_scope(session) as _session:
            _session.add(document)
            try:
                await self._finalize(session=_session, caller_session=session, refresh=(document,))
            except IntegrityError as exc:
                raise DocumentAlreadyExistsError(
                    f"Document with id {document.id} already exists",
                    category=ErrorCategory.VALIDATION,
                    suggestion="Rename the file and try again.",
                ) from exc
            return document
    async def read_document(self, document_id: UUID, *, session: AsyncSession | None = None) -> Document:
        """Read an existing document from the database.
        The selectinload option is used to eagerly load related jobs and sources.
        """
        async with self._session_scope(session) as _session:
            document = await _session.get(
                Document,
                document_id,
                options=(
                    selectinload(Document.jobs),  # pyright: ignore[reportArgumentType]
                    selectinload(Document.sources),  # pyright: ignore[reportArgumentType]
                ),
            )
        if document is None:
            raise DocumentError(
                f"Document with id {document_id} not found",
                category=ErrorCategory.NOT_FOUND,
                suggestion="Re-upload the source document and retry.",
            )
        elif not document.sources:
            raise MissingSourceError(
                f"Document with id {document_id} has no associated source records",
                category=ErrorCategory.NOT_FOUND,
                suggestion="Upload at least one source for this document and retry.",
            )
        return document
    async def update_document(self, document: Document, *, session: AsyncSession | None = None) -> Document:
        """Update an existing document in the database."""
        async with self._session_scope(session) as _session:
            merged = await _session.merge(document)
            await self._finalize(session=_session, caller_session=session, refresh=(merged,))
            return merged
    async def delete_document(self, document: Document, *, session: AsyncSession | None = None) -> None:
        """Delete a document from the database."""
        async with self._session_scope(session) as _session:
            await _session.delete(document)
            await self._finalize(session=_session, caller_session=session)
    # Query Operations
    async def query_documents(
        self, *, name: str | None = None, session: AsyncSession | None = None
    ) -> Sequence[Document]:
        """Query documents from the database based on provided filters."""
        async with self._session_scope(session) as _session:
            query = select(Document)
            if name is not None:
                query = query.where(Document.name == name)
            result = await _session.exec(query)
            return result.all()
    async def list_documents(self, *, session: AsyncSession | None = None) -> Sequence[Document]:
        """List all documents in the database."""
        async with self._session_scope(session) as _session:
            result = await _session.exec(select(Document))
            return result.all()
@@ -0,0 +1,184 @@
 from collections.abc import Sequence
 from datetime import UTC
 from datetime import datetime
 from uuid import UUID
 from sqlalchemy.orm import selectinload
 from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..db.models import Job
 from ..db.models import JobStatus
 from ..db.models import Source
 from .base import ServiceBase
 class JobService(ServiceBase):
    """Thin service class for managing jobs in the database."""
    #
    # CRUD Operations
    #
    async def create_job(self, job: Job, session: AsyncSession | None = None) -> Job:
        """Create a new job in the database."""
        async with self._session_scope(session) as _session:
            _session.add(job)
            await self._finalize(session=_session, caller_session=session, refresh=(job,))
            return job
    async def read_job(self, job_id: UUID, session: AsyncSession | None = None) -> Job:
        """Read an existing job from the database.
        The related document is always eagerly loaded so callers can safely
        access ``job.document`` in async contexts without triggering lazy-load IO.
        """
        async with self._session_scope(session) as _session:
            query = (
                select(Job)
                .options(
                    selectinload(Job.document),  # pyright: ignore[reportArgumentType]
                    selectinload(Job.sources).selectinload(Source.revision),  # pyright: ignore[reportArgumentType]
                )
                .where(Job.id == job_id)
                .execution_options(populate_existing=True)
            )
            job = (await _session.exec(query)).first()
        if job is None:
            raise ValueError(f"Job with id {job_id} not found")
        return job
    async def update_job(self, job: Job, session: AsyncSession | None = None) -> Job:
        """Update an existing job in the database."""
        async with self._session_scope(session) as _session:
            merged = await _session.merge(job)
            await self._finalize(session=_session, caller_session=session, refresh=(merged,))
            return merged
    async def delete_job(self, job: Job, session: AsyncSession | None = None) -> None:
        """Delete a job from the database."""
        async with self._session_scope(session) as _session:
            await _session.delete(job)
            await self._finalize(session=_session, caller_session=session)
    # Query Operations
    async def query_jobs(
        self,
        *,
        status: JobStatus | None = None,
        filename: str | None = None,
        session: AsyncSession | None = None,
    ) -> Sequence[Job]:
        """Query jobs from the database based on provided filters."""
        async with self._session_scope(session) as _session:
            query = select(Job).options(
                selectinload(Job.document),  # pyright: ignore[reportArgumentType]
                selectinload(Job.sources),  # pyright: ignore[reportArgumentType]
            )
            if status is not None:
                query = query.where(Job.status == status)
            if filename is not None:
                query = query.where(Job.sources.any(Source.filename == filename))
            result = await _session.exec(query)
            return result.all()
    async def list_jobs(
        self,
        *,
        load_docs: bool = False,
        session: AsyncSession | None = None,
    ) -> Sequence[Job]:
        """List all jobs in the database with eagerly loaded documents."""
        _ = load_docs
        async with self._session_scope(session) as _session:
            query = select(Job).options(
                selectinload(Job.document),  # pyright: ignore[reportArgumentType]
                selectinload(Job.sources),  # pyright: ignore[reportArgumentType]
            )
            result = await _session.exec(query)
            return result.all()
    # Other Operations
    async def mark_job_status(
        self,
        job_id: UUID,
        status: JobStatus,
        session: AsyncSession | None = None,
    ) -> Job:
        """Mark a job with a new status."""
        return await self.update_job_state(job_id=job_id, status=status, session=session)
    async def update_job_state(
        self,
        *,
        job_id: UUID,
        status: JobStatus,
        retry_count_increment: int = 0,
        session: AsyncSession | None = None,
    ) -> Job:
        """Update a job's lifecycle fields.
        When ``session`` is provided, this method flushes so callers can commit
        once at an orchestration boundary.
        """
        async with self._session_scope(session) as _session:
            query = (
                select(Job)
                .options(selectinload(Job.document))  # pyright: ignore[reportArgumentType]
                .where(Job.id == job_id)
                .execution_options(populate_existing=True)
            )
            job = (await _session.exec(query)).first()
            if job is None:
                raise ValueError(f"Job with id {job_id} not found")
            job.status = status
            if retry_count_increment:
                job.retry_count += retry_count_increment
            job.date_updated = datetime.now(UTC)
            await self._finalize(session=_session, caller_session=session, refresh=(job,))
            return job
    async def read_next_queued_job(
        self,
        *,
        session: AsyncSession | None = None,
    ) -> Job | None:
        """Read the next queued job ordered by creation time."""
        async with self._session_scope(session) as _session:
            query = (
                select(Job)
                .options(
                    selectinload(Job.document),  # pyright: ignore[reportArgumentType]
                    selectinload(Job.sources).selectinload(Source.revision),  # pyright: ignore[reportArgumentType]
                )
                .where(Job.status == JobStatus.QUEUED)
                .order_by(Job.date_created)  # pyright: ignore[reportArgumentType]
            )
            return (await _session.exec(query)).first()
    async def requeue_stale_processing_jobs(
        self,
        *,
        stale_before: datetime,
        session: AsyncSession | None = None,
    ) -> int:
        """Move stale processing jobs back to queued state.
        Jobs with ``status=PROCESSING`` and ``date_updated`` older than
        ``stale_before`` are considered stale and re-queued.
        """
        async with self._session_scope(session) as _session:
            query = select(Job).where(Job.status == JobStatus.PROCESSING).where(Job.date_updated < stale_before)
            stale_jobs = (await _session.exec(query)).all()
            if not stale_jobs:
                return 0
            now = datetime.now(UTC)
            for job in stale_jobs:
                job.status = JobStatus.QUEUED
                job.date_updated = now
            await self._finalize(session=_session, caller_session=session, refresh=stale_jobs)
            return len(stale_jobs)
@@ -1,23 +1,20 @@
 """Upload service for storing files and creating queued transcription jobs."""
 from __future__ import annotations
 import logging
 from dataclasses import dataclass
 from pathlib import Path
 from uuid import UUID
 from uuid import uuid4
 from sqlmodel.ext.asyncio.session import AsyncSession
 from transcription.config import Settings
 from transcription.config import get_settings
 from transcription.db import get_session
 from transcription.errors import AppError
 from transcription.errors import ErrorCategory
-from transcription.models import Document
+
-from transcription.models import Job
+from ..db.models import Document
-from transcription.models import JobStatus
+from ..db.models import Job
 from ..db.models import Source
 from .documents import UploadJobResult
 logger = logging.getLogger(__name__)
@@ -28,56 +25,26 @@ class UploadError(AppError):
    """Raised when uploaded content cannot be persisted safely."""
@dataclass(frozen=True)
 class UploadJobResult:
    """Summary of created upload records."""
    document_id: UUID
    job_id: UUID
    stored_path: Path
    original_filename: str
 async def create_upload_job(
    *,
    filename: str,
    file_bytes: bytes,
-    session: AsyncSession | None = None,
+    session: AsyncSession,
    settings: Settings | None = None,
 ) -> UploadJobResult:
-    """Persist an uploaded file and create document/job records."""
+    """Create upload-backed document and queued job records."""
    runtime_settings = settings or get_settings()
-    _validate_upload(filename=filename, file_bytes=file_bytes)
+    stored_path = store_file(
-
+        filename=filename,
-    upload_dir = runtime_settings.upload_dir
+        file_bytes=file_bytes,
-    upload_dir.mkdir(parents=True, exist_ok=True)
+        settings=runtime_settings,
-
+    )
    stored_name = _build_stored_filename(filename)
    stored_path = upload_dir / stored_name
    try:
        stored_path.write_bytes(file_bytes)
    except OSError as exc:
        raise UploadError(
            "Failed to persist upload file",
            category=ErrorCategory.INFRA_PERSISTENT,
            suggestion="Check upload directory permissions and available disk space, then retry.",
        ) from exc
    try:
        if session is not None:
        document, job = await _create_upload_records(
            session=session,
            original_filename=filename,
            stored_path=stored_path,
        )
        else:
            async with get_session() as local_session:
                document, job = await _create_upload_records(
                    session=local_session,
                    original_filename=filename,
                    stored_path=stored_path,
                )
    except Exception as exc:
        _best_effort_delete(stored_path)
        raise UploadError(
@@ -96,6 +63,69 @@ async def create_upload_job(
    )
 async def _create_upload_records(
    *,
    session: AsyncSession,
    original_filename: str,
    stored_path: Path,
 ) -> tuple[Document, Job]:
    document = Document(
        name=Path(original_filename).name,
    )
    session.add(document)
    await session.flush()
    job = Job(document_id=document.id)
    session.add(job)
    await session.flush()
    source = Source(
        document_id=document.id,
        job_id=job.id,
        upload_name=Path(original_filename).name,
        filename=stored_path.name,
        file_path=str(stored_path),
    )
    session.add(source)
    await session.commit()
    await session.refresh(document)
    await session.refresh(job)
    return document, job
 def _best_effort_delete(path: Path) -> None:
    try:
        if path.exists():
            path.unlink()
    except OSError:
        logger.warning("Failed to clean up upload file after DB error: %s", path)
 def store_file(*, filename: str, file_bytes: bytes, settings: Settings | None = None) -> Path:
    """Persist an uploaded file to the configured upload directory."""
    runtime_settings = settings or get_settings()
    _validate_upload(filename=filename, file_bytes=file_bytes)
    upload_dir = runtime_settings.upload_dir
    upload_dir.mkdir(parents=True, exist_ok=True)
    stored_name = _build_stored_filename(filename)
    stored_path = upload_dir / stored_name
    try:
        stored_path.write_bytes(file_bytes)
    except OSError as exc:
        raise UploadError(
            "Failed to persist upload file",
            category=ErrorCategory.INFRA_PERSISTENT,
            suggestion="Check upload directory permissions and available disk space, then retry.",
        ) from exc
    logger.info("Stored uploaded file: %s", stored_path)
    return stored_path
 def _validate_upload(*, filename: str, file_bytes: bytes) -> None:
    if not file_bytes:
        raise UploadError(
@@ -124,35 +154,3 @@ def _validate_upload(*, filename: str, file_bytes: bytes) -> None:
 def _build_stored_filename(filename: str) -> str:
    safe_name = Path(filename).name
    return f"{uuid4()}_{safe_name}"
 async def _create_upload_records(
    *,
    session: AsyncSession,
    original_filename: str,
    stored_path: Path,
 ) -> tuple[Document, Job]:
    document = Document(
        filename=Path(original_filename).name,
        file_path=str(stored_path),
    )
    session.add(document)
    await session.flush()
    job = Job(
        document_id=document.id,
        status=JobStatus.QUEUED,
    )
    session.add(job)
    await session.commit()
    await session.refresh(document)
    await session.refresh(job)
    return document, job
 def _best_effort_delete(path: Path) -> None:
    try:
        if path.exists():
            path.unlink()
    except OSError:
        logger.warning("Failed to clean up upload file after DB error: %s", path)
@@ -4,10 +4,23 @@ from __future__ import annotations
 import logging
 import mimetypes
 from collections.abc import Sequence
 from contextlib import contextmanager
 from datetime import UTC
 from datetime import datetime
 from pathlib import Path
 from uuid import UUID
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlalchemy.orm import selectinload
 from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
 from transcription.config import Settings
 from transcription.config import get_settings
 from transcription.db.models import Job
 from transcription.db.models import Revision
 from transcription.db.models import Source
 from transcription.errors import AppError
 from transcription.errors import ErrorCategory
 from transcription.providers import ProviderAuthError
@@ -17,6 +30,8 @@ from transcription.providers import TranscriptionProvider
 from transcription.providers import TranscriptionResult
 from transcription.providers import get_transcription_provider
 from .base import ServiceBase
 logger = logging.getLogger(__name__)
 DEFAULT_PROMPT_FILE = "transcribe_document.md"
@@ -31,6 +46,218 @@ class TranscriptionError(AppError):
    """Raised when transcription execution fails."""
 class TranscriptionNotFoundError(TranscriptionError):
    """Raised when a transcription-related resource is not found."""
 class TranscriptionService(ServiceBase):
    """Service class for job transcription output and optional source revisions."""
    provider: TranscriptionProvider
    def __init__(self, session_factory: async_sessionmaker[AsyncSession] | None = None):
        super().__init__(session_factory=session_factory)
        self.provider = get_transcription_provider(settings=self.settings)
    async def create_revision(self, revision: Revision, *, session: AsyncSession | None = None) -> Revision:
        """Create a new revision in the database."""
        async with self._session_scope(session) as _session:
            _session.add(revision)
            await self._finalize(session=_session, caller_session=session, refresh=(revision,))
            return revision
    async def read_revision(self, revision_id: UUID, *, session: AsyncSession | None = None) -> Revision:
        """Read an existing revision from the database."""
        async with self._session_scope(session) as _session:
            revision = await _session.get(
                Revision,
                revision_id,
                options=(selectinload(Revision.source),),  # pyright: ignore[reportArgumentType]
            )
        if revision is None:
            raise TranscriptionNotFoundError(
                f"Revision with id {revision_id} not found",
                category=ErrorCategory.NOT_FOUND,
                suggestion="Verify the revision id and retry.",
            )
        return revision
    async def update_revision(self, revision: Revision, *, session: AsyncSession | None = None) -> Revision:
        """Update an existing revision in the database."""
        async with self._session_scope(session) as _session:
            merged = await _session.merge(revision)
            await self._finalize(session=_session, caller_session=session, refresh=(merged,))
            return merged
    async def delete_revision(self, revision: Revision, *, session: AsyncSession | None = None) -> None:
        """Delete a revision from the database."""
        async with self._session_scope(session) as _session:
            await _session.delete(revision)
            await self._finalize(session=_session, caller_session=session)
    # Temporary compatibility methods for callers still using transcript naming.
    async def read_transcript(self, transcript_id: UUID, *, session: AsyncSession | None = None) -> Revision:
        """Backward-compatible alias for read_revision."""
        return await self.read_revision(transcript_id, session=session)
    async def delete_transcript(self, transcript: Revision, *, session: AsyncSession | None = None) -> None:
        """Backward-compatible alias for delete_revision."""
        await self.delete_revision(transcript, session=session)
    async def transcribe_document(
        self,
        image_path: str | Path,
        job_id: UUID,
        *,
        prompt_name: str = DEFAULT_PROMPT_FILE,
        session: AsyncSession | None = None,
    ) -> None:
        """Transcribe a local image using the configured prompt and provider."""
        result = await transcribe_document_image(
            image_path=image_path,
            prompt_name=prompt_name,
            settings=self.settings,
            provider=self.provider,
        )
        await self.update_job_transcription(
            job_id=job_id,
            text=result.text,
            error_detail=None,
            provider=result.provider,
            model=result.model,
            prompt_name=result.prompt_name,
            session=session,
        )
    async def update_job_transcription(
        self,
        *,
        job_id: UUID,
        text: str | None,
        error_detail: str | None = None,
        provider: str | None = None,
        model: str | None = None,
        prompt_name: str = DEFAULT_PROMPT_FILE,
        session: AsyncSession | None = None,
    ) -> Job:
        """Persist original transcription output fields on a job."""
        async with self._session_scope(session) as _session:
            job = await _session.get(Job, job_id)
            if job is None:
                raise TranscriptionNotFoundError(
                    f"Job with id {job_id} not found",
                    category=ErrorCategory.NOT_FOUND,
                    suggestion="Verify the job id and retry.",
                )
            job.text = text
            job.error_detail = error_detail
            job.provider = provider or job.provider or self.settings.provider.value
            job.model = model or job.model or _resolve_transcript_model(provider=self.provider, settings=self.settings)
            job.prompt_name = prompt_name or job.prompt_name or DEFAULT_PROMPT_FILE
            job.date_updated = datetime.now(UTC)
            await self._finalize(session=_session, caller_session=session, refresh=(job,))
            return job
    async def upsert_revision_for_source(
        self,
        *,
        source_id: UUID,
        text: str,
        session: AsyncSession | None = None,
    ) -> Revision:
        """Create or replace the single optional revision for a source."""
        async with self._session_scope(session) as _session:
            source = await _session.get(Source, source_id)
            if source is None:
                raise TranscriptionNotFoundError(
                    f"Source with id {source_id} not found",
                    category=ErrorCategory.NOT_FOUND,
                    suggestion="Verify the source id and retry.",
                )
            query = select(Revision).where(Revision.source_id == source_id)
            existing = (await _session.exec(query)).one_or_none()
            if existing is None:
                revision = Revision(source_id=source_id, text=text)
                _session.add(revision)
                await self._finalize(session=_session, caller_session=session, refresh=(revision,))
                return revision
            existing.text = text
            merged = await _session.merge(existing)
            await self._finalize(session=_session, caller_session=session, refresh=(merged,))
            return merged
    async def read_revision_by_source(
        self,
        source_id: UUID,
        *,
        session: AsyncSession | None = None,
    ) -> Revision | None:
        """Read the single optional revision for a source."""
        async with self._session_scope(session) as _session:
            query = select(Revision).where(Revision.source_id == source_id)
            result = await _session.exec(query)
            return result.one_or_none()
    async def list_revisions_by_job(
        self,
        job_id: UUID,
        *,
        session: AsyncSession | None = None,
    ) -> Sequence[Revision]:
        """List revisions connected to all sources for a job."""
        async with self._session_scope(session) as _session:
            query = (
                select(Revision)
                .join(Source, Source.id == Revision.source_id)
                .where(Source.job_id == job_id)
                .order_by(Revision.date_created)  # pyright: ignore[reportArgumentType]
            )
            result = await _session.exec(query)
            return result.all()
 def _resolve_transcript_model(*, provider: TranscriptionProvider, settings: Settings) -> str:
    provider_model = getattr(provider, "model", None)
    if isinstance(provider_model, str) and provider_model.strip():
        return provider_model
    if settings.provider_model and settings.provider_model.strip():
        return settings.provider_model
    return "unknown"
 async def transcribe_document_image(
    image_path: str | Path,
    *,
    prompt_name: str = DEFAULT_PROMPT_FILE,
    settings: Settings | None = None,
    provider: TranscriptionProvider | None = None,
 ) -> TranscriptionResult:
    """Transcribe a local image using the configured prompt and provider."""
    runtime_settings = settings or get_settings()
    prompt_text = load_prompt_text(prompt_name=prompt_name, settings=runtime_settings)
    image_bytes, mime_type = load_image_payload(image_path)
    adapter = provider or get_transcription_provider(settings=runtime_settings)
    logger.info("Starting transcription for image=%s mime_type=%s", image_path, mime_type)
    with handle_transcription_errors():
        result = await adapter.transcribe(
            prompt_text=prompt_text,
            image_bytes=image_bytes,
            mime_type=mime_type,
        )
    logger.info("Transcription completed for image=%s provider=%s", image_path, result.provider)
    return result
 def load_prompt_text(*, prompt_name: str = DEFAULT_PROMPT_FILE, settings: Settings | None = None) -> str:
    """Load and validate prompt text from PROMPT_DIR."""
    runtime_settings = settings or get_settings()
@@ -87,27 +314,11 @@ def load_image_payload(image_path: str | Path) -> tuple[bytes, str]:
    return path.read_bytes(), mime_type
-def transcribe_document_image(
+@contextmanager
-    image_path: str | Path,
+def handle_transcription_errors():
-    *,
+    """Context manager to handle transcription errors."""
    prompt_name: str = DEFAULT_PROMPT_FILE,
    settings: Settings | None = None,
    provider: TranscriptionProvider | None = None,
 ) -> TranscriptionResult:
    """Transcribe a local image using the configured prompt and provider."""
    runtime_settings = settings or get_settings()
    prompt_text = load_prompt_text(prompt_name=prompt_name, settings=runtime_settings)
    image_bytes, mime_type = load_image_payload(image_path)
    adapter = provider or get_transcription_provider(settings=runtime_settings)
    logger.info("Starting transcription for image=%s mime_type=%s", image_path, mime_type)
    try:
-        result = adapter.transcribe(
+        yield
            prompt_text=prompt_text,
            image_bytes=image_bytes,
            mime_type=mime_type,
        )
    except ProviderAuthError as exc:
        raise TranscriptionError(
            "Provider authentication failed",
@@ -128,6 +339,3 @@ def transcribe_document_image(
            suggestion="Retry the transcription from jobs. If repeated, check provider availability.",
            retriable=True,
        ) from exc
    logger.info("Transcription completed for image=%s provider=%s", image_path, result.provider)
    return result
@@ -0,0 +1,345 @@
 import asyncio
 import logging
 from sqlmodel.ext.asyncio.session import AsyncSession
 from ..config import Settings
 from ..config import get_settings
 from ..db.models import Job
 from ..db.models import JobStatus
 from ..db.models import Source
 from ..errors import AppError
 from ..errors import ErrorCategory
 from ..errors import classify_unexpected_error
 from ..errors import format_error_detail
 from ..providers import TranscriptionResult
 from . import ServiceBundle
 from .transcription import DEFAULT_PROMPT_FILE
 from .transcription import transcribe_document_image
 logger = logging.getLogger(__name__)
 async def advance_job(
    job: Job,
    services: ServiceBundle,
    settings: Settings | None = None,
    session: AsyncSession | None = None,
 ) -> Job | None:
    """Advance a single job by lifecycle status."""
    settings = settings or get_settings()
    match job.status:
        case JobStatus.QUEUED:
            return await process_queued_job(job=job, services=services, settings=settings, session=session)
        case JobStatus.FAILED:
            if job.retry_count < settings.worker_max_retries:
                return await services.jobs.update_job_state(
                    job_id=job.id,
                    status=JobStatus.QUEUED,
                    retry_count_increment=1,
                    session=session,
                )
            else:
                logger.error(f"Job {job.id} has failed and reached max retries.")
                return
        case _:
            return
 async def process_queued_job(
    *,
    job: Job,
    services: ServiceBundle,
    settings: Settings | None = None,
    session: AsyncSession | None = None,
 ) -> Job | None:
    """Process one complete transcription attempt for a queued job."""
    runtime_settings = settings or get_settings()
    if job.status != JobStatus.QUEUED:
        logger.warning(f"Job {job.id} is not queued. Current status: {job.status}")
        return
    # Transaction A: claim job for processing.
    if session is None:
        job = await services.jobs.mark_job_status(job.id, JobStatus.PROCESSING)
    else:
        # If we're sharing the session, need to make sure setting the Job to PROCESSING is committed before we start
        # the transcription, otherwise other workers may see the job as still QUEUED and try to process it.
        job = await services.jobs.mark_job_status(job.id, JobStatus.PROCESSING, session=session)
        await session.commit()
    source_job = await services.jobs.read_job(job_id=job.id, session=session)
    source = _resolve_primary_source(source_job)
    assert source is not None, f"Job {job.id} has no associated source record."
    started_at = asyncio.get_running_loop().time()
    try:
        result = await asyncio.wait_for(
            transcribe_document_image(source.file_path),
            timeout=runtime_settings.worker_provider_timeout_seconds,
        )
        elapsed_seconds = asyncio.get_running_loop().time() - started_at
        logger.info(
            "Provider response diagnostics operation=worker.provider_response "
            "job_id=%s document_id=%s source_id=%s provider=%s model=%s "
            "finish_reason=%s usage_input_tokens=%s usage_output_tokens=%s usage_total_tokens=%s "
            "latency_seconds=%.3f text_chars=%s text_lines=%s",
            job.id,
            job.document_id,
            source.id,
            result.provider,
            result.model,
            result.finish_reason or "unknown",
            result.usage_input_tokens,
            result.usage_output_tokens,
            result.usage_total_tokens,
            elapsed_seconds,
            len(result.text),
            _line_count(result.text),
        )
        _validate_transcription_quality(result=result, settings=runtime_settings)
        job = await _finalize_transcribed(job=job, services=services, result=result, session=session)
        logger.info(
            "Job transcribed operation=worker.process_job job_id=%s document_id=%s source_id=%s provider=%s",
            job.id,
            job.document_id,
            source.id,
            result.provider,
        )
    except TimeoutError:
        error = AppError(
            f"Provider call timed out after {runtime_settings.worker_provider_timeout_seconds:.1f}s",
            category=ErrorCategory.EXTERNAL_PROVIDER,
            suggestion="Retry the job. If this repeats, verify provider latency and request payload size.",
            retriable=True,
        )
        job = await _finalize_failed(job=job, services=services, error=error, session=session)
        logger.error(
            "Job failed operation=worker.process_job job_id=%s document_id=%s source_id=%s error_id=%s category=%s",
            job.id,
            job.document_id,
            source.id,
            error.error_id,
            error.category.value,
        )
    except Exception as exc:  # noqa: BLE001
        match exc:
            case AppError() as error:
                pass
            case _:
                error = classify_unexpected_error(exc, operation="worker.process_job")
        job = await _finalize_failed(job=job, services=services, error=error, session=session)
        logger.error(
            "Job failed operation=worker.process_job job_id=%s document_id=%s source_id=%s error_id=%s category=%s",
            job.id,
            job.document_id,
            source.id,
            error.error_id,
            error.category.value,
        )
    return job
 async def process_next_queued_job(
    *,
    services: ServiceBundle,
    settings: Settings | None = None,
    session: AsyncSession | None = None,
 ) -> bool:
    """Process the next queued job if one exists."""
    job = await services.jobs.read_next_queued_job(session=session)
    if job is None:
        return False
    await advance_job(job=job, services=services, settings=settings, session=session)
    return True
 async def _finalize_transcribed(
    *,
    job: Job,
    services: ServiceBundle,
    result: TranscriptionResult,
    session: AsyncSession | None = None,
 ) -> Job:
    """Transaction B: job transcription output + TRANSCRIBED in one commit."""
    if session is None:
        async with services.jobs._session_scope() as local_session:
            await services.transcriptions.update_job_transcription(
                job_id=job.id,
                text=result.text,
                error_detail=None,
                provider=result.provider,
                model=result.model,
                prompt_name=result.prompt_name,
                session=local_session,
            )
            updated_job = await services.jobs.mark_job_status(
                job.id,
                JobStatus.TRANSCRIBED,
                session=local_session,
            )
            await local_session.commit()
            return updated_job
    await services.transcriptions.update_job_transcription(
        job_id=job.id,
        text=result.text,
        error_detail=None,
        provider=result.provider,
        model=result.model,
        prompt_name=result.prompt_name,
        session=session,
    )
    updated_job = await services.jobs.mark_job_status(
        job.id,
        JobStatus.TRANSCRIBED,
        session=session,
    )
    await session.commit()
    return updated_job
 async def _finalize_retry(
    *,
    job: Job,
    services: ServiceBundle,
    error: AppError,
    settings: Settings,
    session: AsyncSession | None = None,
 ) -> Job:
    """Transaction C: job error detail + QUEUED + retry increment in one commit."""
    if session is None:
        async with services.jobs._session_scope() as local_session:
            await services.transcriptions.update_job_transcription(
                job_id=job.id,
                text=None,
                error_detail=format_error_detail(error),
                prompt_name=DEFAULT_PROMPT_FILE,
                session=local_session,
            )
            updated_job = await services.jobs.update_job_state(
                job_id=job.id,
                status=JobStatus.QUEUED,
                retry_count_increment=1,
                session=local_session,
            )
            await local_session.commit()
    else:
        await services.transcriptions.update_job_transcription(
            job_id=job.id,
            text=None,
            error_detail=format_error_detail(error),
            prompt_name=DEFAULT_PROMPT_FILE,
            session=session,
        )
        updated_job = await services.jobs.update_job_state(
            job_id=job.id,
            status=JobStatus.QUEUED,
            retry_count_increment=1,
            session=session,
        )
        await session.commit()
    if settings.worker_retry_backoff_seconds > 0:
        await asyncio.sleep(settings.worker_retry_backoff_seconds)
    return updated_job
 async def _finalize_failed(
    *,
    job: Job,
    services: ServiceBundle,
    error: AppError,
    session: AsyncSession | None = None,
 ) -> Job:
    """Transaction B: job error detail + FAILED in one commit."""
    if session is None:
        async with services.jobs._session_scope() as local_session:
            await services.transcriptions.update_job_transcription(
                job_id=job.id,
                text=None,
                error_detail=format_error_detail(error),
                prompt_name=DEFAULT_PROMPT_FILE,
                session=local_session,
            )
            updated_job = await services.jobs.mark_job_status(
                job.id,
                JobStatus.FAILED,
                session=local_session,
            )
            await local_session.commit()
            return updated_job
    await services.transcriptions.update_job_transcription(
        job_id=job.id,
        text=None,
        error_detail=format_error_detail(error),
        prompt_name=DEFAULT_PROMPT_FILE,
        session=session,
    )
    updated_job = await services.jobs.mark_job_status(
        job.id,
        JobStatus.FAILED,
        session=session,
    )
    await session.commit()
    return updated_job
 def _resolve_primary_source(job: Job) -> Source | None:
    if not job.sources:
        return None
    return job.sources[0]
 def _validate_transcription_quality(*, result: TranscriptionResult, settings: Settings) -> None:
    text_chars = len(result.text)
    text_lines = _line_count(result.text)
    if settings.worker_fail_on_finish_reason_length and (result.finish_reason or "").lower() == "length":
        raise AppError(
            "Provider output appears truncated (finish_reason=length)",
            category=ErrorCategory.EXTERNAL_PROVIDER,
            suggestion=(
                "Retry the job. If this repeats, use a faster model, reduce input complexity, "
                "or increase provider output budget."
            ),
            retriable=True,
        )
    if settings.worker_min_transcription_chars > 0 and text_chars < settings.worker_min_transcription_chars:
        raise AppError(
            (
                "Transcription output below configured minimum character threshold "
                f"({text_chars} < {settings.worker_min_transcription_chars})"
            ),
            category=ErrorCategory.EXTERNAL_PROVIDER,
            suggestion=(
                "Retry the job. If this repeats, switch model or raise minimum thresholds based on document type."
            ),
            retriable=True,
        )
    if settings.worker_min_transcription_lines > 0 and text_lines < settings.worker_min_transcription_lines:
        raise AppError(
            (
                "Transcription output below configured minimum line threshold "
                f"({text_lines} < {settings.worker_min_transcription_lines})"
            ),
            category=ErrorCategory.EXTERNAL_PROVIDER,
            suggestion=(
                "Retry the job. If this repeats, switch model or raise minimum thresholds based on document type."
            ),
            retriable=True,
        )
 def _line_count(text: str) -> int:
    stripped = text.strip()
    if not stripped:
        return 0
    return sum(1 for line in stripped.splitlines() if line.strip())
@@ -5,10 +5,23 @@ from nicegui import ui
 from transcription.ui.pages.jobs_page import register_page as register_jobs_page
 from transcription.ui.pages.upload_page import register_page as register_upload_page
 from transcription.ui.resources import read_css
 _THEME_REGISTERED_STATE_KEY = "transcription_ui_theme_registered"
 def _register_global_styles(app: FastAPI) -> None:
    if getattr(app.state, _THEME_REGISTERED_STATE_KEY, False):
        return
    ui.add_css(read_css("theme.css"), shared=True)
    setattr(app.state, _THEME_REGISTERED_STATE_KEY, True)
 def register_pages(app: FastAPI) -> None:
    """Register all NiceGUI pages and mount them onto the FastAPI app."""
    _register_global_styles(app)
    register_upload_page()
    register_jobs_page()
-    ui.run_with(app, mount_path="/ui", show_welcome_message=False)
+    ui.run_with(app, mount_path="/ui", show_welcome_message=False, dark=False)
@@ -0,0 +1,17 @@
 """Reusable UI component exports."""
 from transcription.ui.components.app_shell import NAV_ITEMS
 from transcription.ui.components.app_shell import render_app_shell
 from transcription.ui.components.app_shell import render_navigation_header
 from transcription.ui.components.document_panzoom import render_document_panzoom
 from transcription.ui.components.page_content import render_page_content
 from transcription.ui.components.page_header import render_page_header
 __all__ = [
    "NAV_ITEMS",
    "render_app_shell",
    "render_document_panzoom",
    "render_navigation_header",
    "render_page_content",
    "render_page_header",
 ]
@@ -0,0 +1,62 @@
 """Reusable app shell primitives for page-level layout."""
 from __future__ import annotations
 from nicegui import ui
 from transcription.ui.resources import read_css
 NAV_ITEMS: tuple[tuple[str, str, str], ...] = (
    ("Upload", "/upload", "upload_file"),
    ("Jobs", "/jobs", "work_history"),
 )
 def _is_active_path(*, current_path: str, item_path: str) -> bool:
    if item_path == "/jobs":
        return current_path == "/jobs" or current_path.startswith("/jobs/")
    return current_path == item_path
 def _render_nav_button(*, label: str, path: str, icon: str, current_path: str) -> None:
    is_active = _is_active_path(current_path=current_path, item_path=path)
    classes = "app-shell__nav-item"
    if is_active:
        classes = f"{classes} app-shell__nav-item--active"
    ui.button(
        label,
        icon=icon,
        on_click=lambda _=None, route=path: ui.navigate.to(route),
    ).props("flat no-caps").classes(classes)
 def _normalize_path(current_path: str | None) -> str:
    normalized = (current_path or "").strip()
    if not normalized:
        return "/upload"
    return normalized.rstrip("/") or "/"
 def render_app_shell(*, current_path: str | None = None) -> None:
    """Render the shared application shell header."""
    ui.add_css(read_css("components/app_shell.css"))
    normalized_path = _normalize_path(current_path)
    with ui.header().classes("app-shell"), ui.element("div").classes("app-shell__inner"):
        with ui.row().classes("app-shell__brand no-wrap"):
            ui.label("VS").classes("app-shell__brand-mark")
            ui.label("VibeScribe").classes("app-shell__brand-name")
        with ui.element("nav").props('aria-label="Primary navigation"').classes("app-shell__nav"):
            for label, path, icon in NAV_ITEMS:
                _render_nav_button(label=label, path=path, icon=icon, current_path=normalized_path)
        with ui.row().classes("app-shell__actions no-wrap"):
            ui.label("Saved").classes("app-shell__save-state")
            ui.button(icon="more_horiz").props("flat round dense").tooltip("More actions")
 def render_navigation_header(*, current_path: str | None = None) -> None:
    """Render the app shell using the legacy page-level entry point."""
    render_app_shell(current_path=current_path)
@@ -0,0 +1,211 @@
 """Panzoom-backed document preview component."""
 from __future__ import annotations
 from functools import lru_cache
 from pathlib import Path
 from urllib.parse import quote
 from uuid import uuid4
 from nicegui import ui
 from transcription.config import get_settings
 from transcription.db.models import Source
 PANGOZOOM_CDN_URL = "https://unpkg.com/@panzoom/[email protected]/dist/panzoom.min.js"
 UPLOADS_URL_PREFIX = "/uploads"
 def render_document_panzoom(*, source: Source) -> None:
    """Render a source preview with pan and zoom interactions."""
    _register_panzoom_assets()
    host_id = f"document-panzoom-{uuid4().hex}"
    document_url = _document_url(source)
    document_kind = _document_kind(source)
    with ui.card().classes("w-full q-pa-md vibe-card"):
        with ui.row().classes("w-full items-center justify-between no-wrap"):
            ui.label("Document preview").classes("text-subtitle1 text-weight-medium")
            ui.label(source.filename).classes("text-caption vibe-text-muted ellipsis").style(
                "max-width: 60%; text-align: right;"
            )
        with (
            ui.element("div").classes("w-full document-panzoom-host rounded-borders q-mt-md")
            # .style(f"height: {height};")
        ) as host:
            host.props(f"id={host_id}")
            with ui.element("div").classes("document-panzoom-surface"):
                if document_kind == "pdf":
                    ui.html(
                        f'<iframe class="document-panzoom-iframe" '
                        f'src="{document_url}" title="{source.filename}" '
                        "data-panzoom-target></iframe>"
                    )
                else:
                    ui.html(
                        f'<img class="document-panzoom-media" '
                        f'src="{document_url}" alt="{source.filename}" '
                        "data-panzoom-target data-panzoom-media />"
                    )
    _attach_panzoom(host_id)
@lru_cache(maxsize=1)
 def _register_panzoom_assets() -> None:
    ui.add_head_html(
        f'<script src="{PANGOZOOM_CDN_URL}"></script>',
        shared=True,
    )
    ui.add_head_html(
        """
        <style>
            .document-panzoom-host {
                overflow: hidden;
                touch-action: none;
            }
            .document-panzoom-surface {
                width: 100%;
                height: 100%;
                display: flex;
                align-items: flex-start;
                justify-content: flex-start;
            }
            .document-panzoom-media {
                width: auto;
                height: auto;
                display: block;
                max-width: 100%;
                max-height: 100%;
                user-select: none;
                -webkit-user-drag: none;
            }
            .document-panzoom-iframe {
                width: 100%;
                height: 100%;
                border: 0;
                pointer-events: none;
                background: var(--theme-surface-raised);
            }
        </style>
        """,
        shared=True,
    )
 def _document_url(source: Source) -> str:
    file_path = Path(source.file_path)
    upload_dir = get_settings().upload_dir
    relative_path: Path
    try:
        relative_path = file_path.resolve().relative_to(upload_dir.resolve())
    except ValueError:
        parts = file_path.parts
        if "uploads" in parts:
            uploads_index = parts.index("uploads")
            relative_path = Path(*parts[uploads_index + 1 :])
        else:
            relative_path = Path(file_path.name)
    encoded_relative_path = "/".join(quote(part) for part in relative_path.parts)
    return f"{UPLOADS_URL_PREFIX}/{encoded_relative_path}"
 def _document_kind(source: Source) -> str:
    suffix = Path(source.file_path).suffix.lower()
    if suffix == ".pdf":
        return "pdf"
    return "image"
 def _attach_panzoom(host_id: str) -> None:
    ui.run_javascript(
        f"""
        (function() {{
            if (!window.Panzoom) return;
            window.__transcriptionPanzoom = window.__transcriptionPanzoom || {{}};
            const host = document.getElementById({host_id!r});
            if (!host) return;
            const target = host.querySelector('[data-panzoom-target]');
            const media = host.querySelector('[data-panzoom-media]');
            if (!target) return;
            const cleanup = () => {{
                const existing = window.__transcriptionPanzoom[{host_id!r}];
                if (existing?.resizeObserver) existing.resizeObserver.disconnect();
                if (existing?.wheelHandler) host.removeEventListener('wheel', existing.wheelHandler);
                if (existing?.instance) existing.instance.destroy();
            }};
            const computeFitScale = () => {{
                const hostRect = host.getBoundingClientRect();
                if (hostRect.width <= 0 || hostRect.height <= 0) return null;
                return 1;
            }};
            const buildInstance = () => {{
                cleanup();
                const fitScale = computeFitScale();
                if (fitScale === null) return false;
                const minScale = Math.min(fitScale, 0.01);
                const instance = Panzoom(target, {{
                    startX: 0,
                    startY: 0,
                    startScale: fitScale,
                    minScale: minScale,
                    maxScale: 256,
                    step: 0.2,
                    roundPixels: false,
                    panOnlyWhenZoomed: true,
                    overflow: 'hidden',
                }});
                const wheelHandler = (event) => instance.zoomWithWheel(event);
                host.addEventListener('wheel', wheelHandler, {{ passive: false }});
                requestAnimationFrame(() => {{
                    instance.reset({{ animate: false }});
                }});
                const resizeObserver = new ResizeObserver(() => {{
                    const nextFitScale = computeFitScale();
                    if (nextFitScale === null) return;
                    instance.setOptions({{
                        startScale: nextFitScale,
                        minScale: Math.min(nextFitScale, 0.01),
                    }});
                    instance.reset({{ animate: false }});
                }});
                resizeObserver.observe(host);
                window.__transcriptionPanzoom[{host_id!r}] = {{
                    instance,
                    wheelHandler,
                    resizeObserver,
                }};
                return true;
            }};
            const initWhenReady = (retries = 15) => {{
                if (buildInstance()) return;
                if (retries <= 0) return;
                requestAnimationFrame(() => initWhenReady(retries - 1));
            }};
            if (media && media.tagName === 'IMG' && !media.complete) {{
                media.addEventListener('load', () => initWhenReady(), {{ once: true }});
                return;
            }}
            initWhenReady();
        }})();
        """
    )
@@ -26,7 +26,7 @@ def show_error(exc: Exception, *, title: str, operation: str) -> None:
        close_button="Dismiss",
    )
-    with ui.card().classes("bg-red-1 text-red-10 q-mt-md q-pa-md"):
+    with ui.card().classes("vibe-card--error q-mt-md q-pa-md"):
        ui.label(title).classes("text-subtitle1")
        ui.label(error.message)
        ui.label(f"Suggested action: {error.suggestion}").classes("text-weight-medium")
@@ -2,29 +2,90 @@
 from __future__ import annotations
 import logging
 from nicegui import ui
-from transcription.models import Document
+from transcription.db.models import Job
-from transcription.models import Job
+from transcription.db.models import Revision
-from transcription.models import Transcript
+from transcription.db.models import Source
 from transcription.ui.components.document_panzoom import render_document_panzoom
 from transcription.ui.components.transcript import render_original_transcription_card
 from transcription.ui.components.transcript import render_revision_row
 logger = logging.getLogger(__name__)
-def render_job_detail(*, job: Job, document: Document | None, transcript: Transcript | None) -> None:
+def _status_chip_classes(status: str) -> str:
    if status == "queued":
        return "vibe-status--queued"
    if status == "processing":
        return "vibe-status--processing"
    if status == "transcribed":
        return "vibe-status--transcribed"
    if status == "failed":
        return "vibe-status--failed"
    return "vibe-status--default"
 def _metadata_row(label: str, value: str) -> None:
    with ui.row().classes("w-full items-start justify-between q-gutter-x-md"):
        ui.label(label).classes("text-caption vibe-text-muted text-uppercase w-28")
        ui.label(value).classes("text-body2 text-right break-all")
 def _render_source_section(source: Source) -> None:
    with ui.card().classes("w-full q-pa-md vibe-card"):
        ui.label("Source").classes("text-subtitle1 text-weight-medium")
        ui.separator().classes("q-my-sm")
        with ui.column().classes("w-full q-gutter-y-xs"):
            _metadata_row("Upload name", source.upload_name)
            _metadata_row("Stored filename", source.filename)
            _metadata_row("File path", source.file_path)
            _metadata_row("Uploaded", source.date_uploaded.isoformat())
        ui.separator().classes("q-my-md")
        render_document_panzoom(source=source)
 def _render_revision_section(revision: Revision | None) -> None:
    with ui.card().classes("w-full q-pa-md vibe-card"):
        ui.label("Revision").classes("text-subtitle1 text-weight-medium")
        ui.separator().classes("q-my-sm")
        if revision is None:
            ui.label("No revision exists for this source.").classes("text-body2 vibe-text-muted")
            return
        render_revision_row(revision=revision, initially_expanded=True)
 def render_job_detail(*, job: Job, source: Source | None, revision: Revision | None) -> None:
    """Render all sections for the job detail page."""
-    ui.label(f"Job ID: {job.id}")
+    logger.debug("Rendering job detail for job ID %s", job.id)
-    ui.label(f"Status: {job.status.value}")
+    status_text = job.status.value
-    ui.label(f"Created: {job.created_at.isoformat()}")
+    with ui.column().classes("w-full max-w-4xl q-gutter-md"):
-    ui.label(f"Updated: {job.updated_at.isoformat()}")
+        with ui.card().classes("w-full q-pa-lg vibe-card"):
            with ui.row().classes("w-full items-center justify-between q-gutter-md"):
                with ui.column().classes("q-gutter-none"):
                    ui.label("Job overview").classes("text-h6 text-weight-bold")
                    ui.label(str(job.id)).classes("text-caption vibe-text-muted")
                status_chip_classes = (
                    "q-px-sm q-py-xs rounded-borders "
                    "vibe-status text-weight-medium text-capitalize "
                    f"{_status_chip_classes(status_text)}"
                )
                ui.label(status_text).classes(status_chip_classes)
-    if document is not None:
+            ui.separator().classes("q-my-md vibe-separator")
-        ui.label(f"Filename: {document.filename}")
+            with ui.column().classes("w-full q-gutter-y-xs"):
-        ui.label(f"File path: {document.file_path}")
+                _metadata_row("Created", job.date_created.isoformat())
                _metadata_row("Updated", job.date_updated.isoformat())
                _metadata_row("Retries", str(job.retry_count))
-    if transcript is None:
+        render_original_transcription_card(job=job)
-        ui.label("Transcript not available yet.")
+
-    elif transcript.text:
+        if source is not None:
-        ui.label("Transcript:")
+            _render_source_section(source)
-        ui.markdown(transcript.text)
+
-    elif transcript.error_detail:
+        _render_revision_section(revision)
        ui.label("Failure detail:")
        ui.label(transcript.error_detail)
@@ -1,55 +0,0 @@
 """Reusable jobs table rendering helpers."""
 from __future__ import annotations
 from collections.abc import Sequence
 from dataclasses import dataclass
 from uuid import UUID
 from nicegui import ui
@dataclass(frozen=True)
 class JobTableRow:
    """Read model consumed by the shared jobs table component."""
    id: UUID
    status: str
    created_at: str
    updated_at: str
 def _serialize_rows(rows: Sequence[JobTableRow]) -> list[dict[str, str]]:
    """Convert typed rows into table-compatible dictionaries."""
    return [
        {
            "id": str(row.id),
            "status": row.status,
            "created_at": row.created_at,
            "updated_at": row.updated_at,
        }
        for row in rows
    ]
 def render_jobs_table(rows: Sequence[JobTableRow]) -> None:
    """Render jobs table and per-row detail links."""
    if not rows:
        ui.label("No jobs yet.")
        return
    serialized_rows = _serialize_rows(rows)
    ui.table(
        columns=[
            {"name": "id", "label": "Job ID", "field": "id"},
            {"name": "status", "label": "Status", "field": "status"},
            {"name": "created_at", "label": "Created", "field": "created_at"},
            {"name": "updated_at", "label": "Updated", "field": "updated_at"},
        ],
        rows=serialized_rows,
        row_key="id",
    ).classes("w-full")
    with ui.column().classes("gap-1"):
        for row in serialized_rows:
            ui.link(f"Open {row['id']}", f"/jobs/{row['id']}")
@@ -0,0 +1,55 @@
 """High-level placeholder content for a transcription workspace."""
 from __future__ import annotations
 from nicegui import ui
 from transcription.ui.resources import read_css
 def render_page_content(
    *,
    source_name: str = "document-placeholder.jpg",
    raw_text: str = "AI transcription output will appear here.",
    revised_text: str = "Human revision text will appear here.",
 ) -> None:
    """Render the primary editor workspace and supporting context sidebar."""
    ui.add_css(read_css("components/page_content.css"))
    with ui.element("div").classes("page-content"):
        with ui.element("section").classes("page-content__editor"):
            with ui.row().classes("page-content__heading"):
                with ui.column().classes("gap-0"):
                    ui.label("Active source").classes("page-content__kicker")
                    ui.label("Page transcription").classes("page-content__title")
                ui.badge("Page 1 of 1").classes("page-content__badge")
            with ui.element("div").classes("page-content__workspace"):
                with ui.element("section").classes("source-placeholder"):
                    with ui.row().classes("source-placeholder__toolbar"):
                        ui.label(source_name)
                        ui.icon("image", size="1.25rem")
                    with ui.column().classes("source-placeholder__body"):
                        ui.icon("description", size="4rem")
                        ui.label("Source preview")
                with ui.column().classes("transcription-placeholder"):
                    with ui.element("section").classes("transcription-placeholder__section"):
                        ui.label("AI raw output").classes("transcription-placeholder__title")
                        ui.label(raw_text).classes("transcription-placeholder__text")
                    with ui.element("section").classes("transcription-placeholder__section"):
                        ui.label("Human revision").classes("transcription-placeholder__title")
                        ui.textarea(value=revised_text).props("outlined autogrow").classes("w-full")
        with ui.element("aside").props('aria-label="Document context"').classes("page-content__sidebar"):
            with ui.element("section").classes("page-content__sidebar-section"):
                ui.label("People").classes("page-content__sidebar-title")
                ui.label("Author · Placeholder Person")
                ui.label("Recipient · Placeholder Person")
            with ui.element("section").classes("page-content__sidebar-section"):
                ui.label("AI processing").classes("page-content__sidebar-title")
                ui.badge("Completed", color="positive")
                ui.label("Provider · Placeholder provider")
                ui.label("Model · Placeholder model")
@@ -0,0 +1,36 @@
 """High-level page header for document-oriented views."""
 from __future__ import annotations
 from collections.abc import Awaitable
 from collections.abc import Callable
 from nicegui import ui
 from transcription.ui.resources import read_css
 type PageHeaderAction = Callable[[], Awaitable[None] | None]
 def render_page_header(
    *,
    eyebrow: str = "Letter · Placeholder Collection",
    title: str = "Untitled archival document",
    metadata: tuple[str, ...] = ("Date unknown", "Location unknown"),
    on_details: PageHeaderAction | None = None,
    on_review: PageHeaderAction | None = None,
 ) -> None:
    """Render document identity, metadata, and page-level actions."""
    ui.add_css(read_css("components/page_header.css"))
    with ui.element("section").classes("page-header"):
        with ui.column().classes("page-header__identity"):
            ui.label(eyebrow).classes("page-header__eyebrow")
            ui.label(title).classes("page-header__title")
            with ui.row().classes("page-header__metadata"):
                for value in metadata:
                    ui.label(value)
        with ui.row().classes("page-header__actions"):
            ui.button("Document details", icon="info", on_click=on_details).props("outline no-caps")
            ui.button("Mark reviewed", icon="task_alt", on_click=on_review).props("unelevated no-caps")
@@ -0,0 +1,4 @@
 from .jobs import JobTableRow
 from .jobs import render_jobs_table
 __all__ = ["JobTableRow", "render_jobs_table"]
@@ -0,0 +1,73 @@
 """Common logic for generating table widgets."""
 import logging
 from collections.abc import Callable
 from typing import Any
 from nicegui import events
 from nicegui import ui
 logger = logging.getLogger(__name__)
 def _extract_row_id(args: Any) -> str | None:
    if isinstance(args, dict):
        if isinstance(args.get("row"), dict):
            row_id = args["row"].get("id")
            return str(row_id) if row_id is not None else None
        row_id = args.get("id")
        return str(row_id) if row_id is not None else None
    if isinstance(args, list):
        for value in args:
            if isinstance(value, dict):
                row_id = value.get("id")
                if row_id is not None:
                    return str(row_id)
    return None
 def _bind_row_click_handler(
    table: Any,
    *,
    on_row_click_id: Callable[[str], None],
 ) -> None:
    def handle_row_click(event: events.GenericEventArguments) -> None:
        row_id = _extract_row_id(event.args)
        if row_id is None:
            return
        on_row_click_id(row_id)
    table.on("rowClick", handle_row_click)
    logger.debug("Row click handler bound to table")
 def build_table(
    rows: list[dict[str, Any]],
    columns: list[dict[str, Any]],
    *,
    default_sort_by: str | None = None,
    default_descending: bool = False,
    classes: str = "app-table",
    on_row_click_id: Callable[[str], None] | None = None,
 ) -> Any:
    pagination: dict[str, Any] = {"rowsPerPage": 25}
    if default_sort_by is not None:
        pagination["sortBy"] = default_sort_by
        pagination["descending"] = default_descending
    table = (
        ui.table(
            rows=rows,
            columns=columns,
            row_key="id",
            pagination=pagination,
        )
        .classes(classes)
        .props('table-style="table-layout: fixed; width: 100%;"')
    )
    logger.info("Table built with %d rows and %d columns", len(rows), len(columns))
    if on_row_click_id is not None:
        _bind_row_click_handler(table, on_row_click_id=on_row_click_id)
    return table
@@ -0,0 +1,75 @@
 """Jobs table rendering helpers."""
 from __future__ import annotations
 from collections.abc import Sequence
 from dataclasses import dataclass
 from datetime import UTC
 from datetime import datetime
 from typing import Any
 from uuid import UUID
 from nicegui import ui
 from .common import build_table
@dataclass(frozen=True, slots=True)
 class JobTableRow:
    """Read model consumed by the jobs table component."""
    id: UUID
    status: str
    filename: str
    retry_count: int
    date_created: str
    date_updated: str
 def _format_timestamp(value: str) -> str:
    """Return a friendly UTC timestamp for table display."""
    try:
        parsed = datetime.fromisoformat(value)
    except ValueError:
        return value
    parsed = parsed.replace(tzinfo=UTC) if parsed.tzinfo is None else parsed.astimezone(UTC)
    return parsed.astimezone().strftime("%b %d, %I:%M %p")
 def _serialize_rows(rows: Sequence[JobTableRow]) -> list[dict[str, Any]]:
    return [
        {
            "id": str(row.id),
            "status": row.status,
            "filename": row.filename,
            "retry_count": row.retry_count,
            "date_created": _format_timestamp(row.date_created),
            "date_updated": _format_timestamp(row.date_updated),
            "created_sort": row.date_created,
            "updated_sort": row.date_updated,
        }
        for row in rows
    ]
 def render_jobs_table(rows: Sequence[JobTableRow]) -> None:
    """Render jobs table and open a detail page when clicking a row."""
    if not rows:
        ui.label("No jobs yet.")
        return
    build_table(
        rows=_serialize_rows(rows),
        columns=[
            {"name": "id", "label": "Job ID", "field": "id", "sortable": True},
            {"name": "status", "label": "Status", "field": "status", "sortable": True},
            {"name": "filename", "label": "Filename", "field": "filename", "sortable": True},
            {"name": "retry_count", "label": "Retries", "field": "retry_count", "sortable": True},
            {"name": "date_created", "label": "Created", "field": "date_created", "sortable": True},
            {"name": "date_updated", "label": "Updated", "field": "date_updated", "sortable": True},
        ],
        default_sort_by="created_sort",
        default_descending=True,
        classes="app-table w-full",
        on_row_click_id=lambda job_id: ui.navigate.to(f"/jobs/{job_id}"),
    )
@@ -0,0 +1,104 @@
 """Reusable transcript UI components."""
 from __future__ import annotations
 from collections.abc import Awaitable
 from collections.abc import Callable
 from datetime import datetime
 from typing import Any
 from nicegui import ui
 from transcription.db.models import Job
 from transcription.db.models import Revision
 type RevisionAction = Callable[[Revision], Awaitable[None] | None]
 def render_original_transcription_card(*, job: Job, classes: str = "w-full") -> Any:
    """Render the immutable original job transcription output."""
    status_label = "Failed" if job.error_detail else "Transcribed"
    header = f"Original Transcription | {status_label}"
    provider = job.provider or "unknown"
    model = job.model or "unknown"
    caption = f"{provider} | {model} | {_format_created_at(job.date_updated)}"
    card = ui.card().classes(f"{classes} q-pa-md vibe-card")
    with card, ui.column().classes("w-full q-gutter-y-sm"):
        ui.label(header).classes("text-subtitle1 text-weight-medium")
        ui.label(caption).classes("text-caption vibe-text-muted")
        _metadata_row(label="Prompt", value=job.prompt_name or "unknown")
        _metadata_row(label="Updated", value=_format_created_at(job.date_updated))
        if job.text:
            with ui.card().classes("w-full q-pa-sm"):
                ui.markdown(job.text)
        if job.error_detail:
            with ui.card().classes("w-full vibe-card--error q-pa-sm"):
                ui.label("Failure detail").classes("text-caption text-uppercase")
                ui.label(job.error_detail).classes("text-body2")
    return card
 def render_revision_row(
    *,
    revision: Revision,
    initially_expanded: bool = False,
    classes: str = "w-full",
    on_delete: RevisionAction | None = None,
 ) -> Any:
    """Render a collapsible row for the single optional source revision."""
    header = "Revision | User-authored"
    caption = _format_created_at(revision.date_created)
    expansion = ui.expansion(value=initially_expanded, group="group").classes(f"{classes} rounded-borders vibe-card")
    with expansion, ui.column().classes("w-full q-gutter-y-sm q-pa-sm"):
        with expansion.add_slot("header"), ui.row().classes("w-full items-start justify-between q-gutter-md"):
            with ui.column().classes("q-gutter-none"):
                ui.label(header).classes("text-subtitle1 text-weight-medium")
                ui.label(caption).classes("text-caption vibe-text-muted")
            if on_delete is not None:
                with ui.dialog() as delete_dialog, ui.card().classes("q-pa-md"):
                    ui.label("Delete this transcript revision?").classes("text-body1")
                    with ui.row().classes("w-full justify-end q-gutter-sm"):
                        ui.button("Cancel", on_click=lambda: delete_dialog.submit(False)).props("flat")
                        ui.button("Delete", on_click=lambda: delete_dialog.submit(True)).props(
                            'unelevated color="negative"'
                        )
                async def delete_current_transcript() -> None:
                    delete_dialog.open()
                    confirmed = await delete_dialog
                    if not confirmed:
                        return
                    maybe_awaitable = on_delete(revision)
                    if isinstance(maybe_awaitable, Awaitable):
                        await maybe_awaitable
                with ui.column(align_items="center").classes("self-center q-gutter-none"):
                    ui.button(icon="delete", on_click=delete_current_transcript).props(
                        'flat round dense color="negative"'
                    )
        _metadata_row(label="Created", value=_format_created_at(revision.date_created))
        if revision.text:
            with ui.card().classes("w-full q-pa-sm"):
                ui.markdown(revision.text)
    return expansion
 def _format_created_at(value: datetime) -> str:
    """Return a compact UTC-like timestamp for row captions."""
    return value.strftime("%Y-%m-%d %H:%M:%S %Z")
 def _metadata_row(*, label: str, value: str) -> None:
    with ui.row().classes("w-md items-start justify-between q-gutter-x-md"):
        ui.label(label).classes("text-caption vibe-text-muted text-uppercase")
        ui.label(value).classes("text-body2 text-right break-all")
@@ -0,0 +1,66 @@
 """Reusable upload widget for document submission."""
 from __future__ import annotations
 from collections.abc import Awaitable
 from collections.abc import Callable
 from nicegui import ui
 from nicegui.binding import bindable_dataclass
 from nicegui.events import UploadEventArguments
 from transcription.errors import AppError
 from transcription.services.documents import UploadJobResult
 from transcription.ui.components.error_presenter import show_error
 from transcription.ui.components.error_presenter import summarize_error
 from transcription.worker import WorkerNotifier
 type UploadSubmitter = Callable[[str, bytes], Awaitable[UploadJobResult]]
@bindable_dataclass
 class UploadWidgetState:
    """Simple state container for upload feedback."""
    loading: bool = False
    message: str = ""
 def render_upload_widget(*, submitter: UploadSubmitter, notifier: WorkerNotifier | None = None) -> None:
    """Render upload controls and common status/error handling."""
    state = UploadWidgetState()
    status_label = ui.label("Upload a document to start transcription.")
    status_label.bind_text(state, "message")
    async def on_upload(event: UploadEventArguments) -> None:
        if state.loading:
            ui.notify("Upload already in progress. Please wait.", type="warning")
            return
        state.loading = True
        status_label.text = "Uploading..."
        try:
            payload = await event.file.read()
            result = await submitter(event.file.name, payload)
            job_id = result.job_id
            state.message = f"Created job {job_id}" if job_id is not None else "Upload complete"
            status_label.text = state.message
            if notifier is not None:
                notifier.notify()
            ui.notify(state.message, type="positive")
        except AppError as exc:
            state.message = summarize_error(exc, operation="upload.submit")
            status_label.text = f"Upload failed: {state.message}"
            show_error(exc, title="Upload failed", operation="upload.submit")
        except Exception as exc:  # noqa: BLE001
            state.message = summarize_error(exc, operation="upload.submit")
            status_label.text = f"Upload failed: {state.message}"
            show_error(exc, title="Upload failed", operation="upload.submit")
        finally:
            state.loading = False
    ui.upload(
        on_upload=on_upload,
        auto_upload=True,
        label="Select document file",
    ).props('accept=".jpg,.jpeg,.png,.tif,.tiff,.pdf"')
@@ -5,88 +5,155 @@ from __future__ import annotations
 from uuid import UUID
 from nicegui import ui
 from sqlmodel import desc
 from sqlmodel import select
-from transcription.db import get_session
+from transcription.db.models import Job
-from transcription.models import Document
+from transcription.db.models import JobStatus
-from transcription.models import Job
+from transcription.db.models import Source
-from transcription.models import Transcript
+from transcription.services.jobs import JobService
 from transcription.services.transcription import TranscriptionService
 from transcription.ui.components.app_shell import render_navigation_header
 from transcription.ui.components.error_presenter import show_error
-from transcription.ui.components.error_presenter import summarize_error
+from transcription.ui.components.table.jobs import render_jobs_table
-from transcription.ui.components.job_detail import render_job_detail
+
-from transcription.ui.components.job_table import JobTableRow
+from ...db.session import SessionFactoryDep
-from transcription.ui.components.job_table import render_jobs_table
+from ..components.document_panzoom import render_document_panzoom
 from ..components.table.jobs import JobTableRow
 from ..components.transcript import render_original_transcription_card
 from ..components.transcript import render_revision_row
-async def fetch_jobs() -> list[JobTableRow]:
+def register_page() -> None:  # noqa: PLR0915
    """Return jobs for display in most-recent-first order."""
    async with get_session() as session:
        jobs = (await session.exec(select(Job).order_by(desc(Job.created_at)))).all()
        return [
            JobTableRow(
                id=job.id,
                status=job.status.value,
                created_at=job.created_at.isoformat(),
                updated_at=job.updated_at.isoformat(),
            )
            for job in jobs
        ]
 async def fetch_job_detail(job_id: UUID) -> tuple[Job | None, Document | None, Transcript | None]:
    """Return job, document, and transcript for detail view."""
    async with get_session() as session:
        job = await session.get(Job, job_id)
        if job is None:
            return None, None, None
        document = await session.get(Document, job.document_id)
        transcript = (await session.exec(select(Transcript).where(Transcript.job_id == job.id))).first()
        return job, document, transcript
 def register_page() -> None:
    """Register jobs list and detail routes."""
    @ui.page("/jobs")
-    async def jobs_page() -> None:
+    async def jobs_page(session_factory: SessionFactoryDep) -> None:
-        ui.label("Transcription Jobs")
+        jobs_service = JobService(session_factory=session_factory)
-        status = ui.label("Ready")
+        render_navigation_header(current_path="/jobs")
        @ui.refreshable
        async def render_table() -> None:
-            jobs = await fetch_jobs()
+            jobs = [
                JobTableRow(
                    id=job.id,
                    status=job.status.value,
                    filename=job.filename,
                    retry_count=job.retry_count,
                    date_created=job.date_created.isoformat(),
                    date_updated=job.date_updated.isoformat(),
                )
                for job in await jobs_service.list_jobs()
            ]
            render_jobs_table(jobs)
-        async def refresh() -> None:
+        ui.button("Refresh", on_click=render_table.refresh, icon="refresh")
            status.text = "Refreshing..."
            try:
                await render_table.refresh()
                status.text = "Refreshed"
            except Exception as exc:  # noqa: BLE001
                status.text = f"Refresh failed: {summarize_error(exc, operation='jobs.refresh')}"
                show_error(exc, title="Jobs refresh failed", operation="jobs.refresh")
        ui.button("Refresh", on_click=refresh)
        await render_table()
        ui.link("Back to upload", "/")
    @ui.page("/jobs/{job_id}")
-    async def job_detail_page(job_id: str) -> None:
+    async def job_detail_page(job_id: str, session_factory: SessionFactoryDep) -> None:  # noqa: PLR0915
-        ui.label("Job Detail")
+        jobs_service = JobService(session_factory=session_factory)
        transcription_service = TranscriptionService(session_factory=session_factory)
        render_navigation_header(current_path="/jobs")
        try:
-            parsed_id = UUID(job_id)
+            parsed_job_id = UUID(job_id)
        except ValueError:
-            ui.label("Invalid job id")
+            ui.label("Invalid job id").classes("text-h6 text-negative")
            ui.link("Back to jobs", "/jobs")
            return
-        job, document, transcript = await fetch_job_detail(parsed_id)
+        try:
-        if job is None:
+            job = await jobs_service.read_job(job_id=parsed_job_id)
-            ui.label("Job not found")
+        except ValueError:
-            ui.link("Back to jobs", "/jobs")
+            ui.label("Job not found").classes("text-h6 text-negative")
            return
-        render_job_detail(job=job, document=document, transcript=transcript)
+        source = _resolve_primary_source(job)
-        ui.link("Back to jobs", "/jobs")
+        with ui.splitter(value=30).classes("w-full h-[calc(100vh-64px)]") as splitter:
            with splitter.before, ui.column(align_items="stretch").classes("w-full h-full p-4 gap-3"):
                if source is not None:
                    render_document_panzoom(source=source)
                else:
                    ui.label("No source preview is available for this job.").classes("text-body2 vibe-text-muted")
            with splitter.after, ui.column(align_items="stretch").classes("w-full h-full p-4 gap-3"):
                with ui.row():
                    ui.button(icon="arrow_back", on_click=ui.navigate.back)
                with ui.row().classes("w-full items-center justify-between"):
                    ui.label(f"{job.id}").classes("text-h6 text-weight-bold")
                    match job.status:
                        case JobStatus.TRANSCRIBED:
                            ui.chip(job.status.value.upper(), color="positive", text_color="white").props("outline")
                        case _:
                            ui.label(f"{job.status.value}").classes("text-subtitle1 text-weight-medium")
                render_original_transcription_card(job=job)
                async def delete_revision_by_id(revision_id: UUID) -> None:
                    try:
                        revision = await transcription_service.read_revision(revision_id=revision_id)
                        await transcription_service.delete_revision(revision)
                    except Exception as exc:  # noqa: BLE001
                        show_error(exc, title="Delete failed", operation="jobs.delete_revision")
                        return
                    ui.notify("Deleted revision", type="positive")
                    await render_revision_panel.refresh()
                @ui.refreshable
                async def render_revision_panel() -> None:
                    refreshed_job = await jobs_service.read_job(job_id=parsed_job_id)
                    refreshed_source = _resolve_primary_source(refreshed_job)
                    if refreshed_source is None:
                        ui.label("No source is available for revision editing.").classes("text-body2 vibe-text-muted")
                        return
                    current_revision = refreshed_source.revision
                    default_revision_text = (
                        current_revision.text if current_revision is not None else (refreshed_job.text or "")
                    )
                    ui.label("Revision Editor").classes("text-subtitle1 text-weight-medium")
                    editor = ui.textarea(label="Revision text", value=default_revision_text).props("autogrow outlined")
                    editor.classes("w-full")
                    async def save_revision() -> None:
                        candidate = (editor.value or "").strip()
                        if not candidate:
                            ui.notify("Revision text is required.", type="warning")
                            return
                        try:
                            await transcription_service.upsert_revision_for_source(
                                source_id=refreshed_source.id,
                                text=candidate,
                            )
                        except Exception as exc:  # noqa: BLE001
                            show_error(exc, title="Save failed", operation="jobs.save_revision")
                            return
                        ui.notify("Revision saved", type="positive")
                        await render_revision_panel.refresh()
                    with ui.row().classes("w-full justify-end"):
                        ui.button(
                            "Create revision" if current_revision is None else "Update revision",
                            on_click=save_revision,
                            icon="save",
                        ).props('unelevated color="primary"')
                    if current_revision is None:
                        ui.label("No revision exists for this source.").classes("text-body2 vibe-text-muted")
                        return
                    render_revision_row(
                        revision=current_revision,
                        initially_expanded=True,
                        on_delete=lambda _revision, rid=current_revision.id: delete_revision_by_id(rid),
                    )
                await render_revision_panel()
 def _resolve_primary_source(job: Job) -> Source | None:
    if not job.sources:
        return None
    return job.sources[0]
@@ -2,73 +2,30 @@
 from __future__ import annotations
-from dataclasses import dataclass
+from fastapi import Request
 from nicegui import ui
 from nicegui.events import UploadEventArguments
-from transcription.services.upload import UploadError
+from transcription.db import session_scope
-from transcription.services.upload import UploadJobResult
+from transcription.services.store import create_upload_job
-from transcription.services.upload import create_upload_job
+from transcription.ui.components.app_shell import render_navigation_header
-from transcription.ui.components.error_presenter import show_error
+from transcription.ui.components.upload import render_upload_widget
-from transcription.ui.components.error_presenter import summarize_error
+from transcription.worker import resolve_worker_notifier
@dataclass
 class UploadPageState:
    """Simple state container for upload page feedback."""
    loading: bool = False
    message: str = ""
 def accepted_upload_types() -> str:
    """Return accepted file type string for upload input."""
    return ".jpg,.jpeg,.png,.tif,.tiff,.pdf"
 async def submit_upload(*, filename: str, file_bytes: bytes) -> UploadJobResult:
    """Create an upload job from incoming file data."""
    return await create_upload_job(filename=filename, file_bytes=file_bytes)
 def register_page() -> None:
    """Register the upload page route."""
-    @ui.page("/")
+    @ui.page("/upload", title="Upload Document")
-    def upload_page() -> None:
+    def upload_page(request: Request) -> None:
-        state = UploadPageState()
+        render_navigation_header(current_path="/upload")
        status_label = ui.label("Upload a document to start transcription.")
-        async def on_upload(event: UploadEventArguments) -> None:
+        async def submit_upload(filename: str, file_bytes: bytes):
-            if state.loading:
+            async with session_scope() as session:
-                ui.notify("Upload already in progress. Please wait.", type="warning")
+                return await create_upload_job(
-                return
+                    filename=filename,
                    file_bytes=file_bytes,
                    session=session,
                )
-            state.loading = True
+        notify_worker = resolve_worker_notifier(request.app.state)
-            status_label.text = "Uploading..."
+        render_upload_widget(submitter=submit_upload, notifier=notify_worker)
            try:
                payload = await event.file.read()
                result = await submit_upload(filename=event.file.name, file_bytes=payload)
                state.message = f"Created job {result.job_id}"
                status_label.text = state.message
                ui.notify(state.message, type="positive")
            except UploadError as exc:
                state.message = summarize_error(exc, operation="upload.submit")
                status_label.text = f"Upload failed: {state.message}"
                show_error(exc, title="Upload failed", operation="upload.submit")
            except Exception as exc:  # noqa: BLE001
                state.message = summarize_error(exc, operation="upload.submit")
                status_label.text = f"Upload failed: {state.message}"
                show_error(exc, title="Upload failed", operation="upload.submit")
            finally:
                state.loading = False
        ui.upload(
            on_upload=on_upload,
            auto_upload=True,
            label="Select document file",
        ).props(f"accept={accepted_upload_types()}")
        with ui.row():
            ui.link("View jobs", "/jobs")
@@ -0,0 +1,19 @@
 """Package resource helpers for UI presentation assets."""
 from __future__ import annotations
 from functools import cache
 from importlib.resources import files
 from pathlib import PurePosixPath
@cache
 def read_css(relative_path: str) -> str:
    """Read and cache a CSS resource relative to ``ui/static``."""
    resource_path = PurePosixPath(relative_path)
    if resource_path.is_absolute() or ".." in resource_path.parts or resource_path.suffix != ".css":
        msg = f"Invalid CSS resource path: {relative_path}"
        raise ValueError(msg)
    resource = files("transcription.ui").joinpath("static", *resource_path.parts)
    return resource.read_text(encoding="utf-8")
@@ -0,0 +1,86 @@
 .app-shell {
  min-height: 64px;
  padding: 0.75rem 2rem;
  border-bottom: 1px solid var(--theme-border);
  color: var(--theme-text);
  background: var(--theme-surface-raised);
 }
 .app-shell__inner {
  width: 100%;
  display: grid;
  grid-template-columns: minmax(180px, 1fr) auto minmax(180px, 1fr);
  align-items: center;
  gap: 1.5rem;
 }
 .app-shell__brand,
 .app-shell__actions {
  align-items: center;
 }
 .app-shell__brand {
  gap: 0.75rem;
  color: var(--theme-text);
  font-family: Georgia, serif;
  font-weight: 700;
 }
 .app-shell__brand-mark {
  width: 34px;
  height: 34px;
  display: grid;
  place-items: center;
  color: var(--theme-inverse-text);
  background: var(--theme-primary);
  font-family: "Trebuchet MS", sans-serif;
  font-size: 0.72rem;
 }
 .app-shell__nav {
  display: flex;
  align-items: center;
  gap: 0.5rem;
 }
 .app-shell__nav-item {
  min-height: 40px;
  color: var(--theme-text-muted);
 }
 .app-shell__nav-item--active {
  color: var(--theme-primary-hover);
  border-bottom: 3px solid var(--theme-primary);
 }
 .app-shell__actions {
  justify-content: flex-end;
  gap: 0.75rem;
 }
 .app-shell__save-state {
  color: var(--theme-text-muted);
  font-size: 0.82rem;
  font-weight: 700;
 }
@media (max-width: 700px) {
  .app-shell {
    padding-inline: 0.75rem;
  }
  .app-shell__inner {
    grid-template-columns: 1fr auto;
  }
  .app-shell__nav {
    grid-column: 1 / -1;
    grid-row: 2;
    justify-content: center;
  }
  .app-shell__brand-name,
  .app-shell__save-state {
    display: none;
  }
 }
@@ -0,0 +1,138 @@
 .page-content {
  width: 100%;
  display: grid;
  grid-template-columns: minmax(0, 1fr) minmax(260px, 320px);
  align-items: start;
  border: 1px solid var(--theme-border);
  color: var(--theme-text);
  background: var(--theme-surface-raised);
  box-shadow: var(--theme-shadow);
 }
 .page-content__editor {
  min-width: 0;
  padding: 1.5rem;
 }
 .page-content__heading {
  width: 100%;
  align-items: center;
  justify-content: space-between;
  margin-bottom: 1rem;
 }
 .page-content__kicker {
  color: var(--theme-text-muted);
  font-size: 0.72rem;
  font-weight: 800;
  text-transform: uppercase;
 }
 .page-content__title,
 .page-content__sidebar-title {
  color: var(--theme-text);
  font-family: Georgia, serif;
  font-weight: 700;
 }
 .page-content__title {
  font-size: 1.35rem;
 }
 .page-content__badge {
  color: var(--theme-text);
  background: var(--theme-surface-muted);
 }
 .page-content__workspace {
  display: grid;
  grid-template-columns: minmax(280px, 0.85fr) minmax(320px, 1.15fr);
  gap: 1.5rem;
 }
 .source-placeholder {
  min-height: 440px;
  display: grid;
  grid-template-rows: auto 1fr;
  border: 1px solid var(--theme-viewer-border);
  background: var(--theme-viewer);
 }
 .source-placeholder__toolbar {
  width: 100%;
  min-height: 48px;
  align-items: center;
  justify-content: space-between;
  padding: 0.5rem 0.75rem;
  color: var(--theme-inverse-text);
 }
 .source-placeholder__body {
  align-items: center;
  justify-content: center;
  color: var(--theme-viewer-muted);
 }
 .transcription-placeholder {
  min-width: 0;
  gap: 1rem;
 }
 .transcription-placeholder__section {
  min-width: 0;
 }
 .transcription-placeholder__title {
  margin-bottom: 0.5rem;
  font-weight: 700;
 }
 .transcription-placeholder__text {
  min-height: 160px;
  padding: 1rem;
  border: 1px solid var(--theme-border);
  background: var(--theme-surface);
  font-family: Georgia, serif;
 }
 .page-content__sidebar {
  min-width: 0;
  border-left: 1px solid var(--theme-border);
  background: var(--theme-surface);
 }
 .page-content__sidebar-section {
  display: grid;
  gap: 0.75rem;
  padding: 1.5rem;
  border-bottom: 1px solid var(--theme-border);
 }
 .page-content__sidebar-title {
  font-size: 1.05rem;
 }
@media (max-width: 1000px) {
  .page-content {
    grid-template-columns: 1fr;
  }
  .page-content__sidebar {
    display: grid;
    grid-template-columns: repeat(2, minmax(0, 1fr));
    border-top: 1px solid var(--theme-border);
    border-left: 0;
  }
 }
@media (max-width: 760px) {
  .page-content__workspace,
  .page-content__sidebar {
    grid-template-columns: 1fr;
  }
  .page-content__editor,
  .page-content__sidebar-section {
    padding: 1rem;
  }
 }
@@ -0,0 +1,60 @@
 .page-header {
  width: 100%;
  display: flex;
  align-items: flex-end;
  justify-content: space-between;
  gap: 2rem;
  padding: 2rem 0 1.5rem;
 }
 .page-header__identity {
  gap: 0.25rem;
 }
 .page-header__eyebrow {
  color: var(--theme-text-muted);
  font-size: 0.72rem;
  font-weight: 800;
  text-transform: uppercase;
 }
 .page-header__title {
  color: var(--theme-text);
  font-family: Georgia, serif;
  font-size: 2rem;
  font-weight: 700;
  line-height: 1.15;
 }
 .page-header__metadata {
  gap: 0.75rem;
  color: var(--theme-text-muted);
  font-size: 0.92rem;
 }
 .page-header__metadata > * + *::before {
  margin-right: 0.75rem;
  content: "·";
 }
 .page-header__actions {
  flex-wrap: wrap;
  justify-content: flex-end;
  gap: 0.75rem;
 }
@media (max-width: 700px) {
  .page-header {
    align-items: flex-start;
    flex-direction: column;
  }
  .page-header__title {
    font-size: 1.65rem;
  }
  .page-header__actions,
  .page-header__actions .q-btn {
    width: 100%;
  }
 }
@@ -0,0 +1,105 @@
 :root {
  --palette-carbon-black: #1c2321;
  --palette-cool-steel: #7d98a1;
  --palette-blue-slate: #5e6572;
  --palette-powder-blue: #a9b4c2;
  --palette-platinum: #eef1ef;
  --theme-text: var(--palette-carbon-black);
  --theme-text-muted: var(--palette-blue-slate);
  --theme-page: var(--palette-platinum);
  --theme-surface: color-mix(in srgb, var(--palette-platinum) 88%, var(--palette-powder-blue));
  --theme-surface-raised: var(--palette-platinum);
  --theme-surface-muted: color-mix(in srgb, var(--palette-platinum) 68%, var(--palette-powder-blue));
  --theme-border: var(--palette-powder-blue);
  --theme-primary: var(--palette-blue-slate);
  --theme-primary-hover: var(--palette-carbon-black);
  --theme-secondary: var(--palette-cool-steel);
  --theme-focus: var(--palette-cool-steel);
  --theme-inverse-text: var(--palette-platinum);
  --theme-viewer: var(--palette-carbon-black);
  --theme-viewer-border: var(--palette-blue-slate);
  --theme-viewer-muted: var(--palette-powder-blue);
  --theme-shadow: 0 10px 28px color-mix(in srgb, var(--palette-carbon-black) 14%, transparent);
  --q-primary: var(--palette-blue-slate);
  --q-secondary: var(--palette-cool-steel);
  --q-accent: var(--palette-powder-blue);
  --q-dark: var(--palette-carbon-black);
  --q-dark-page: var(--palette-carbon-black);
  --q-positive: var(--palette-cool-steel);
  --q-negative: var(--palette-carbon-black);
  --q-info: var(--palette-cool-steel);
  --q-warning: var(--palette-powder-blue);
 }
 body,
 .q-layout,
 .q-page-container {
  color: var(--theme-text);
  background: var(--theme-page);
 }
 body {
  font-family: "Aptos", "Trebuchet MS", sans-serif;
 }
 .q-card,
 .vibe-card {
  border: 1px solid var(--theme-border);
  color: var(--theme-text);
  background: var(--theme-surface-raised);
  box-shadow: none;
 }
 .vibe-card--error {
  border-color: var(--palette-carbon-black);
  color: var(--theme-inverse-text);
  background: var(--palette-carbon-black);
 }
 .vibe-text-muted {
  color: var(--theme-text-muted);
 }
 .vibe-separator {
  background: var(--theme-border);
 }
 .vibe-status {
  border: 1px solid currentColor;
 }
 .vibe-status--queued {
  color: var(--palette-blue-slate);
  background: var(--palette-platinum);
 }
 .vibe-status--processing {
  color: var(--palette-carbon-black);
  background: var(--palette-powder-blue);
 }
 .vibe-status--transcribed {
  color: var(--palette-carbon-black);
  background: var(--palette-cool-steel);
 }
 .vibe-status--failed {
  color: var(--palette-platinum);
  background: var(--palette-carbon-black);
 }
 .vibe-status--default {
  color: var(--palette-blue-slate);
  background: var(--theme-surface-muted);
 }
 button:focus-visible,
 a:focus-visible,
 textarea:focus-visible,
 input:focus-visible,
 [tabindex="0"]:focus-visible {
  outline: 3px solid var(--theme-focus);
  outline-offset: 2px;
 }
@@ -4,31 +4,161 @@ from __future__ import annotations
 import asyncio
 import logging
-from datetime import UTC
+from collections.abc import AsyncGenerator
-from datetime import datetime
+from contextlib import asynccontextmanager
-from threading import Event
+from contextlib import contextmanager
 from contextlib import suppress
 from typing import Protocol
 from uuid import UUID
 from pydantic import ValidationError
 from sqlalchemy.ext.asyncio import async_sessionmaker
 from sqlmodel import select
 from sqlmodel.ext.asyncio.session import AsyncSession
-from transcription.config import Settings
+from transcription.db import session_scope
 from transcription.config import get_settings
 from transcription.db import get_session
 from transcription.errors import AppError
 from transcription.errors import ErrorCategory
 from transcription.errors import classify_unexpected_error
-from transcription.errors import format_error_detail
+
-from transcription.models import Document
+from .services import ServiceBundle
-from transcription.models import Job
+from .services.documents import DocumentService
-from transcription.models import JobStatus
+from .services.jobs import JobService
-from transcription.models import Transcript
+from .services.transcription import TranscriptionService
-from transcription.services.transcription import transcribe_document_image
+from .services.workflows import advance_job
 from .services.workflows import process_next_queued_job as process_next_queued_job_workflow
 logger = logging.getLogger(__name__)
 class WorkerNotifier(Protocol):
    """Abstraction for signaling the worker loop about new work."""
    def notify(self) -> None:
        """Signal the worker loop that work may be available."""
 class EventWorkerNotifier:
    """Worker notifier backed by an asyncio.Event."""
    def __init__(self, wake_event: asyncio.Event):
        self._wake_event = wake_event
    def notify(self) -> None:
        self._wake_event.set()
 class NoopWorkerNotifier:
    """Fallback notifier used when worker signaling is unavailable."""
    def notify(self) -> None:
        return
 def resolve_worker_notifier(state: object) -> WorkerNotifier:
    """Resolve notifier from app-like state objects with no-op fallback."""
    notifier = getattr(state, "worker_notifier", None)
    if isinstance(notifier, NoopWorkerNotifier):
        return notifier
    if notifier is None:
        return NoopWorkerNotifier()
    return notifier
@asynccontextmanager
 async def worker_consumer_lifespan(
    *,
    session_factory: async_sessionmaker[AsyncSession] | None = None,
    poll_interval_seconds: float = 1.0,
 ) -> AsyncGenerator[tuple[asyncio.Event, WorkerNotifier]]:
    """Start and stop the worker consumer loop for app lifespan."""
    stop_event = asyncio.Event()
    wake_event = asyncio.Event()
    worker_notifier: WorkerNotifier = EventWorkerNotifier(wake_event)
    worker_task = asyncio.create_task(
        run_worker_loop(
            session_factory=session_factory,
            stop_event=stop_event,
            wake_event=wake_event,
            poll_interval_seconds=poll_interval_seconds,
        )
    )
    worker_notifier.notify()
    try:
        yield stop_event, worker_notifier
    finally:
        stop_event.set()
        worker_notifier.notify()
        try:
            await asyncio.wait_for(worker_task, timeout=2.0)
        except TimeoutError:
            worker_task.cancel()
            with suppress(asyncio.CancelledError):
                await worker_task
 async def queue_consumer_loop(queue: asyncio.Queue[UUID], stop_event: asyncio.Event):
    """Main worker loop that consumes jobs from the queue and processes them.
    The queue is for Job UUIDs, and the corresponding documents should already have been uploaded.
    """
    service = JobService()
    while not stop_event.is_set():
        with handle_worker_exceptions():
            async with _get_queue_item(queue) as job_id:
                job = await service.read_job(job_id)
                asyncio.create_task(advance_job(job=job, services=ServiceBundle()))
@contextmanager
 def handle_worker_exceptions(operation: str = "worker.loop"):
    """Context manager to log and suppress exceptions in the worker loop."""
    try:
        yield
    except Exception as exc:
        error = exc if isinstance(exc, AppError) else classify_unexpected_error(exc, operation=operation)
        logger.exception(
            "Worker loop exception error_id=%s category=%s",
            error.error_id,
            error.category.value,
        )
@asynccontextmanager
 async def _get_queue_item(queue: asyncio.Queue[UUID]) -> AsyncGenerator[UUID]:
    """Context manager to enqueue a job and ensure it is marked done."""
    yield await queue.get()
    queue.task_done()
 async def run_worker_loop(
    *,
    session_factory: async_sessionmaker[AsyncSession] | None = None,
    stop_event: asyncio.Event | None = None,
    wake_event: asyncio.Event | None = None,
    poll_interval_seconds: float = 1.0,
 ) -> None:
    """Run worker loop until stop_event is set.
    If wake_event is provided, signal activity wakes the loop immediately while
    timeout-based wakeups preserve current polling behavior.
    """
    while True:
        if stop_event is not None and stop_event.is_set():
            logger.info("Worker stop event received")
            return
        if wake_event is not None:
            with suppress(TimeoutError):
                await asyncio.wait_for(wake_event.wait(), timeout=poll_interval_seconds)
                wake_event.clear()
        processed_any = False
        while await process_next_queued_job(session_factory=session_factory):
            processed_any = True
        if wake_event is None and not processed_any:
            await asyncio.sleep(poll_interval_seconds)
 async def process_next_queued_job(
    *,
    session: AsyncSession | None = None,
@@ -38,153 +168,17 @@ async def process_next_queued_job(
    Returns True when a job was processed, False when no queued job exists.
    """
-    if session is None:
+    if session_factory is None:
-        async with get_session(session_factory=session_factory) as local_session:
+        services = ServiceBundle()
            return await _process_next_queued_job(session=local_session)
    return await _process_next_queued_job(session=session)
 async def _process_next_queued_job(*, session: AsyncSession) -> bool:
    job = (await session.exec(select(Job).where(Job.status == JobStatus.QUEUED).order_by(Job.created_at))).first()
    if job is None:
        return False
    logger.info("Picked queued job operation=worker.pick job_id=%s", job.id)
    job.status = JobStatus.PROCESSING
    job.updated_at = datetime.now(UTC)
    session.add(job)
    await session.commit()
    await session.refresh(job)
    document = await session.get(Document, job.document_id)
    if document is None:
        error = AppError(
            "Document not found",
            category=ErrorCategory.NOT_FOUND,
            suggestion="Re-upload the source document and retry processing.",
        )
        _finalize_failed_job(session=session, job=job, error=error)
        logger.error(
            "Job failed operation=worker.process_job job_id=%s error_id=%s category=%s",
            job.id,
            error.error_id,
            error.category.value,
        )
        return True
    try:
        result = transcribe_document_image(document.file_path)
        await _upsert_transcript(session=session, job_id=job.id, text=result.text, error_detail=None)
        job.status = JobStatus.TRANSCRIBED
        job.updated_at = datetime.now(UTC)
        session.add(job)
        await session.commit()
        logger.info(
            "Job transcribed operation=worker.process_job job_id=%s document_id=%s provider=%s",
            job.id,
            document.id,
            result.provider,
        )
    except Exception as exc:
        error = exc if isinstance(exc, AppError) else classify_unexpected_error(exc, operation="worker.process_job")
        settings = _get_worker_settings()
        if _should_retry(job=job, error=error, settings=settings):
            await _requeue_for_retry(session=session, job=job, error=error, settings=settings)
            logger.warning(
                "Job retried operation=worker.process_job job_id=%s document_id=%s retry_count=%s error_id=%s category=%s",
                job.id,
                document.id,
                job.retry_count,
                error.error_id,
                error.category.value,
            )
    else:
-            await _finalize_failed_job(session=session, job=job, error=error)
+        services = ServiceBundle(
-            logger.exception(
+            documents=DocumentService(session_factory=session_factory),
-                "Job failed operation=worker.process_job job_id=%s document_id=%s error_id=%s category=%s",
+            jobs=JobService(session_factory=session_factory),
-                job.id,
+            transcriptions=TranscriptionService(session_factory=session_factory),
                document.id,
                error.error_id,
                error.category.value,
        )
-    return True
+    if session is None:
        async with session_scope(session_factory=session_factory) as local_session:
            return await process_next_queued_job_workflow(services=services, session=local_session)
-
+    return await process_next_queued_job_workflow(services=services, session=session)
 async def _upsert_transcript(
    *, session: AsyncSession, job_id, text: str | None, error_detail: str | None
 ) -> Transcript:
    transcript = (await session.exec(select(Transcript).where(Transcript.job_id == job_id))).first()
    if transcript is None:
        transcript = Transcript(job_id=job_id)
    transcript.text = text
    transcript.error_detail = error_detail
    session.add(transcript)
    await session.commit()
    await session.refresh(transcript)
    return transcript
 def _get_worker_settings() -> Settings:
    try:
        return get_settings()
    except ValidationError:
        return Settings(openrouter_api_key="test-key")
 def _should_retry(*, job: Job, error: AppError, settings: Settings) -> bool:
    return error.retriable and job.retry_count < settings.worker_max_retries
 async def _requeue_for_retry(*, session: AsyncSession, job: Job, error: AppError, settings: Settings) -> None:
    await _upsert_transcript(session=session, job_id=job.id, text=None, error_detail=format_error_detail(error))
    job.retry_count += 1
    job.status = JobStatus.QUEUED
    job.updated_at = datetime.now(UTC)
    session.add(job)
    await session.commit()
    if settings.worker_retry_backoff_seconds > 0:
        await asyncio.sleep(settings.worker_retry_backoff_seconds)
 async def _finalize_failed_job(*, session: AsyncSession, job: Job, error: AppError) -> None:
    await _upsert_transcript(session=session, job_id=job.id, text=None, error_detail=format_error_detail(error))
    job.status = JobStatus.FAILED
    job.updated_at = datetime.now(UTC)
    session.add(job)
    await session.commit()
 async def _run_worker_loop_async(
    *,
    session_factory: async_sessionmaker[AsyncSession] | None = None,
    stop_event: Event | None = None,
    poll_interval_seconds: float = 1.0,
 ) -> None:
    """Run worker polling loop until stop_event is set."""
    while True:
        if stop_event is not None and stop_event.is_set():
            logger.info("Worker stop event received")
            return
        processed = await process_next_queued_job(session_factory=session_factory)
        if not processed:
            await asyncio.sleep(poll_interval_seconds)
 def run_worker_loop(
    *,
    session_factory: async_sessionmaker[AsyncSession] | None = None,
    stop_event: Event | None = None,
    poll_interval_seconds: float = 1.0,
 ) -> None:
    """Synchronous thread entrypoint that runs the async worker loop."""
    asyncio.run(
        _run_worker_loop_async(
            session_factory=session_factory,
            stop_event=stop_event,
            poll_interval_seconds=poll_interval_seconds,
        )
    )
@@ -1,11 +1,12 @@
 """Tests for API error response envelope handlers."""
 import pytest
 from fastapi import FastAPI
 from fastapi.testclient import TestClient
 import pytest
 from transcription.api.errors import register_error_handlers
-from transcription.errors import AppError, ErrorCategory
+from transcription.errors import AppError
 from transcription.errors import ErrorCategory
@pytest.mark.integration
@@ -11,11 +11,11 @@ BOOK 1 had 54 pages; 14 chapters. BOOK 2 has 70 pages; 18 chapters. BOOK 1 con-
 sisted largely of first generation family history. BOOK 2 throws more light on
 the second generation. Sidney promises a BOOK 3 and that may begin to do justice
 to the third generation. We suggest that Sidney get the help of Louis Shinn
-who has a chapter in this book (Chapter 16 - The Last 25 Years on the Doumeeq
+who has a chapter in this book (Chapter 16 - The Last 25 Years on the Doumecq
 Plains. Louis has the gift of seeing, recalling and telling. One sentence in
-his chapter gives a great tribute to the Doumeeqers - so far as he knows no one
+his chapter gives a great tribute to the Doumeccqers--so [sic] far as he knows no one
-on the Doumeeq Plains went on relief during the depression. That in a nutshell
+on the Doumecq Plains went on relief during the depression. That in a nutshell
-shows the sturdy character of the residents of the Doumeeq Plains.
+shows the sturdy character of the residents of the Doumecq Plains.
 We promised in BOOK 1 that in BOOK 2 we would give the story of the trip of
 John E. Cochran and wife to Tennessee, Cuba and the Panama Canal. You will see
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
John Lancaster	661e2b1bec	smoothed readme and startup	2026-08-01 09:51:21 -05:00
John Lancaster	d75083a666	shutdown fixes	2026-08-01 09:36:34 -05:00
John Lancaster	d0a3ca0289	WIP theming	2026-07-31 19:34:12 -05:00
John Lancaster	209c48987c	separated cli settings	2026-07-31 19:23:12 -05:00
John Lancaster	4ed1f43eda	ui instructions	2026-07-31 16:01:23 -05:00
John Lancaster	ce8fcce6b0	Merge commit '4ae8e5be4f60059ba611ceea0cf553b009e6a88e' into session-engine	2026-07-31 15:40:20 -05:00
Jim Lancaster	4ae8e5be4f	Test UI diagrams	2026-07-31 11:35:37 -05:00
John Lancaster	6b5b0500b3	unified implementation plan	2026-07-31 10:28:47 -05:00
John Lancaster	bbf7fe28c2	cleanup	2026-07-31 10:20:02 -05:00
John Lancaster	c4d25c1be8	Merge remote-tracking branch 'origin/doc_update' into session-engine	2026-07-31 10:16:17 -05:00
John Lancaster	1fa5eb1127	doc updates for pydantic	2026-07-31 10:12:34 -05:00
Jim Lancaster	3eefc36239	Update V1 & V2 core documents and reorganize docs folder	2026-07-31 10:04:07 -05:00
John Lancaster	ec6617a1c4	updates	2026-07-30 23:16:17 -05:00
John Lancaster	9eb0f40c08	session and engine	2026-07-30 22:33:49 -05:00
John Lancaster	f769d29da1	uv.lock update	2026-07-30 21:17:09 -05:00
John Lancaster	8afc462a6d	startup	2026-07-30 21:16:48 -05:00
John Lancaster	3d6daec561	moved models to db pkg	2026-07-30 21:10:13 -05:00
John Lancaster	1cc2f319d5	uvicorn startup	2026-07-30 21:09:51 -05:00
Jim Lancaster	d2b793ea69	Begin planning V2	2026-07-30 19:39:12 -05:00
Jim Lancaster	a975ca299a	Trouble shooting PDF transcriptions	2026-07-29 18:58:52 -05:00
Jim Lancaster	a3b3bab571	V1 mostly complete except for some testing. Linting in the last step changed nearly every file which is why this commit is so larger.	2026-07-29 17:27:21 -05:00
Jim Lancaster	bc21a97019	Updated test suite	2026-07-29 16:20:46 -05:00
Jim Lancaster	0973311d9f	Update documentation for consistency and refactor the code. An unresolved error in testing still exists.	2026-07-29 14:12:18 -05:00
Jim Lancaster	eaf9805121	Updates to docs. Added new transcription_methodology, revised approach to revisions: 1 revision per document (that can be updated)	2026-07-29 13:29:44 -05:00
Jim Lancaster	ec61013b47	Used co-pilot for complete review of all documentation, including extensive revision of v1.md	2026-07-02 12:37:32 -05:00
Jim Lancaster	97cb7055d4	Updated models.py	2026-07-02 10:23:06 -05:00
Jim Lancaster	f975e25093	minor update to docs	2026-07-01 12:59:50 -05:00
Jim Lancaster	90ba8fefdd	Update docs after db restructure	2026-07-01 12:57:13 -05:00
John Lancaster	b8998025e2	delete button on transcript header	2026-06-29 20:35:21 -05:00
John Lancaster	002eb572e9	header slot	2026-06-29 20:19:19 -05:00
John Lancaster	d44c7de684	gitignore updates	2026-06-29 19:05:24 -05:00
John Lancaster	282b0fb967	ui test updates	2026-06-29 19:05:15 -05:00
John Lancaster	a9a47c3906	model used being carried thru	2026-06-29 19:04:55 -05:00
John Lancaster	9ada09accf	job detail page stuff	2026-06-29 18:33:22 -05:00
John Lancaster	67b0980664	reworked zooming	2026-06-29 18:00:22 -05:00
John Lancaster	e35a8ec060	coloring and page tweaks	2026-06-29 17:34:05 -05:00
John Lancaster	3a141bd4cc	page tweaks	2026-06-29 14:08:35 -05:00
John Lancaster	8129f5a9e8	ui instructions	2026-06-29 13:59:36 -05:00
John Lancaster	58b4c381a4	added revisions to transcription table	2026-06-29 13:59:26 -05:00
John Lancaster	5719debbaa	messing with zoom/reset	2026-06-29 08:06:02 -05:00
John Lancaster	e7c7ab71b4	zooming fix	2026-06-28 22:20:48 -05:00
John Lancaster	ca5c9f787f	started panzoom thing	2026-06-28 22:10:06 -05:00
John Lancaster	8064821503	app_shell tweak	2026-06-28 15:19:32 -05:00
John Lancaster	593388ef3a	test updates	2026-06-28 15:18:31 -05:00
John Lancaster	83ee7b31e0	styling	2026-06-28 15:18:06 -05:00
John Lancaster	455a01d7c4	started app shell	2026-06-28 14:58:29 -05:00
John Lancaster	e2e421835f	job_detail	2026-06-28 14:40:58 -05:00
John Lancaster	57c1d22bb9	jobs table	2026-06-28 14:36:14 -05:00
John Lancaster	dba96e7a72	ui redirects	2026-06-28 14:19:03 -05:00
John Lancaster	912cfd44de	fixture updates	2026-06-28 13:55:02 -05:00
John Lancaster	8d5fee886f	pruned jobs page	2026-06-28 13:44:49 -05:00
John Lancaster	34468c521f	debug tweaks	2026-06-28 13:42:44 -05:00
John Lancaster	b682e092ea	test_upload_page	2026-06-28 13:42:05 -05:00
John Lancaster	bd33e338b3	worker runtime fixes	2026-06-28 13:41:54 -05:00
John Lancaster	57a988973f	debug config	2026-06-28 13:25:52 -05:00
John Lancaster	9ad67d55e8	worker lifespan updates	2026-06-28 13:17:02 -05:00
John Lancaster	7bdc0c6f79	types	2026-06-28 12:59:36 -05:00
John Lancaster	4e4bf50219	boundaries	2026-06-28 12:33:57 -05:00
John Lancaster	c409b42077	transaction boundaries	2026-06-28 11:37:53 -05:00
John Lancaster	f1fb45e0d2	async provider	2026-06-28 09:35:14 -05:00
John Lancaster	f0501d919e	_finalize method	2026-06-28 09:12:58 -05:00
John Lancaster	517d01abe2	service instructions	2026-06-28 08:59:17 -05:00
John Lancaster	d967f58358	services	2026-06-28 08:16:28 -05:00
John Lancaster	2000f0096b	pruning	2026-06-27 22:13:55 -05:00
John Lancaster	aa93080d7d	project updates	2026-06-27 22:13:41 -05:00
John Lancaster	52dbf70304	process_job updates	2026-06-27 21:56:52 -05:00
John Lancaster	f0b359edf8	service updates	2026-06-27 21:48:10 -05:00
John Lancaster	e6f12fa993	job service tests	2026-06-27 19:29:51 -05:00
John Lancaster	d3ffb01e93	test settings	2026-06-27 19:15:56 -05:00
John Lancaster	f0b0109b11	started test_job_service	2026-06-27 19:04:21 -05:00
John Lancaster	f4417a0f64	test stubs	2026-06-27 18:05:10 -05:00
John Lancaster	cbb91c4cf6	session scope	2026-06-27 17:48:07 -05:00
John Lancaster	2d73065d63	services updates	2026-06-27 11:11:43 -05:00
John Lancaster	e75ca4c79a	service base	2026-06-27 10:38:17 -05:00
John Lancaster	96cbadd56e	upload service stuff	2026-06-27 10:10:05 -05:00
John Lancaster	f2aadf7e53	job service	2026-06-27 09:29:29 -05:00
John Lancaster	755f908b6a	worker updates	2026-06-26 19:17:44 -05:00
John Lancaster	a16c6f5ecd	project tools	2026-06-26 19:17:33 -05:00
John Lancaster	621f508c26	docker stuff	2026-06-26 19:17:18 -05:00
John Lancaster	b719d95f4b	pruning	2026-06-26 19:17:04 -05:00