85 Commits
Author SHA1 Message Date
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
John Lancaster 5ef74ef33a breaking up pages 2026-06-26 01:00:38 -05:00
John Lancaster e4889ba584 ruff and settings 2026-06-26 00:26:35 -05:00
Jim Lancaster f1758ca918 Added fix to db.py to accommodate new fields in db 2026-06-25 19:32:30 -05:00
Jim Lancaster e61f7e7518 ver1-step2 implemented 2026-06-25 19:22:44 -05:00
Jim Lancaster d69e0db4df Implemented v1 step1 2026-06-25 16:07:12 -05:00
Jim Lancaster 238875fc46 Ver1 Implementation Plan, and a detailed impl plan for step 1. 2026-06-25 14:35:20 -05:00
Jim Lancaster e291ffc907 Error handling added to MVP according to error_handling.md guideline 2026-06-25 12:56:35 -05:00
Jim Lancaster 0cc6b0e1eb error_handling.md added 2026-06-25 12:10:49 -05:00
Jim Lancaster 31ef94d4f5 Added usage instructions to README.md, minor fixes to upload_page.py 2026-06-25 11:46:03 -05:00
Jim Lancaster 643c523ed4 Step 6 implemented 2026-06-25 11:08:26 -05:00
Jim Lancaster 759c8c2739 Step 6 implementation plan 2026-06-25 10:28:43 -05:00
Jim Lancaster 3e057c0eff Step 5 implemented 2026-06-25 10:00:00 -05:00
John Lancaster abf5829c6b nicegui updates 2026-06-24 19:54:56 -05:00
Jim Lancaster 2cdba5f1d2 Step 5 implementation plan 2026-06-24 19:50:18 -05:00
Jim Lancaster fb1bc7ea16 Step 4 implemented 2026-06-24 19:12:42 -05:00
Jim Lancaster 3749355b19 Step 3 tested with real data. Added Step 4 implementation plan 2026-06-24 18:48:23 -05:00
Jim Lancaster 572a580445 Step 4 implementation plan 2026-06-24 17:58:08 -05:00
Jim Lancaster 865cca39e6 Step 3 complete 2026-06-24 17:33:51 -05:00
Jim Lancaster c6d95f5e73 Step 3 partially implemented. 2026-06-24 16:59:33 -05:00
John Lancaster 8c4a82ec35 testing improvements 2026-06-24 14:51:26 -05:00
Jim Lancaster d20b41aa88 Step 2 implemented 2026-06-24 14:02:36 -05:00
Jim Lancaster c1afcc4c9e Add step 2 detailed implementation plan 2026-06-24 12:54:55 -05:00
Jim Lancaster cba4d890a1 Step 1 complete! 2026-06-24 11:49:00 -05:00
Jim Lancaster 5165fa64bc Begin implementation of Step 1. Implementation interrupted when I ran out of credits at openrouter. Credits added. Now trying to figure out how to restart the process... 2026-06-24 11:09:02 -05:00
John Lancaster bf23893477 explicit resource links 2026-06-24 08:59:44 -05:00
John Lancaster 4f731cc293 reformed around openrouter for mvp 2026-06-23 20:23:28 -05:00
John Lancaster 0030c521d3 test enhancements 2026-06-23 20:08:02 -05:00
Jim Lancaster 4040332e8f Added Step 1 implentation plan 2026-06-23 19:53:43 -05:00
Jim Lancaster fdf931796e Change references to handwriting, expand options for LLMs 2026-06-23 19:13:24 -05:00
Jim Lancaster d0626c7653 Creation of MVP.md 2026-06-23 18:56:29 -05:00
Jim Lancaster 187324d903 Update docs 2026-06-23 10:49:11 -05:00
Jim Lancaster 2bb74cd1cc Initial setup continued 2026-06-22 17:32:18 -05:00
Jim Lancaster d0c5e3cb7a Add starting docs 2026-06-21 18:54:42 -05:00
111 changed files with 11099 additions and 203 deletions
+13
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.git
.gitignore
.vscode
.venv
.pytest_cache
.ruff_cache
__pycache__/
*.py[cod]
*.db
.env
tests/
docs/
uploads/
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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
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* text=auto eol=lf
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---
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.
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---
description: Copilot rules for modifying the UI
applyTo: 'src/transcription/ui/**/*.py'
---
The UI is forbidden from directly touching the database. All interactions should be done using the [services](../../src/transcription/services/)
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# Virtual environments # Virtual environments
.venv .venv
# Environment secrets
.env
# SQLite database
*.db
upload/
*.jpg
*.jpeg
*.png
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{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Debug transcription app",
"type": "debugpy",
"request": "launch",
"module": "debugpy",
"args": [
"-m",
"uvicorn",
"transcription.app:create_app",
"--factory",
"--host",
// "127.0.0.1",
"0.0.0.0",
"--port",
"8080"
],
"justMyCode": true,
"console": "integratedTerminal",
"env": {
"PYTHONPATH": "${workspaceFolder}/src"
}
}
]
}
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FROM python:3.12-slim AS builder
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
UV_LINK_MODE=copy
WORKDIR /app
COPY --from=ghcr.io/astral-sh/uv:0.5.24 /uv /uvx /bin/
COPY pyproject.toml uv.lock README.md ./
RUN uv sync --frozen --no-dev --no-install-project
COPY src ./src
COPY prompts ./prompts
RUN uv sync --frozen --no-dev
FROM python:3.12-slim AS runtime
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PATH="/app/.venv/bin:$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"]
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# Transcription
Historical document transcription system for family-history documents.
The app lets you upload a document image/PDF, queues a background transcription job, and then shows job status and results in a web UI.
## What the app does
- Upload document files (`.jpg`, `.jpeg`, `.png`, `.tif`, `.tiff`, `.pdf`)
- Persist document + job records in SQLite
- Process jobs in a background worker (`queued -> processing -> transcribed/failed`)
- Store transcript text (or failure detail)
- Show status and results in the NiceGUI interface
## Quick start
### 1) Install dependencies
```bash
uv sync
```
### 2) Configure environment
Create a `.env` file in the project root (minimum required setting shown):
```env
OPENROUTER_API_KEY=your_openrouter_api_key
```
Optional settings (defaults shown):
```env
DATABASE_URL=sqlite:///./transcription.db
UPLOAD_DIR=./uploads
PROMPT_DIR=./prompts
```
### 3) Run the app
```bash
uv run uvicorn transcription.app:create_app --factory --reload
```
### 4) Open in browser
- GUI: [http://[IP_ADDRESS]:8000/ui](http://[IP_ADDRESS]:8000/ui)
- Health check: [http://[IP_ADDRESS]:8000/healthz](http://[IP_ADDRESS]:8000/healthz)
## How to navigate the GUI
- **Upload page** (`/ui`)
- Select a supported file to upload.
- The app creates a queued transcription job.
- Use the **View jobs** link to inspect progress.
- **Jobs page** (`/ui/jobs`)
- See all jobs and their status.
- Use **Refresh** to reload current states.
- Open a specific job to see details.
- **Job detail page** (`/ui/jobs/{job_id}`)
- Shows job metadata and status.
- Displays transcript text when successful.
- Displays failure detail when transcription fails.
## Prompt artifacts
Prompt files are stored in `prompts/` and loaded from `PROMPT_DIR` (default: `./prompts`).
The canonical MVP prompt is:
- `prompts/transcribe_document.md`
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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:
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# Historical Document Transcription
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
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.
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` |
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# Architecture
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.
## Architecture Objectives
The production architecture is designed to:
- preserve verbatim family-history source material as searchable text
- keep operational complexity low for a personal deployment
- support asynchronous transcription without requiring distributed infrastructure
- maintain clear module boundaries so extensions can be added incrementally
## Production Scope And Scale
The deployed system targets personal use and a corpus of several thousand documents processed over time. The architecture favors simple, composable building blocks over distributed orchestration.
Current scope includes:
- document upload and metadata capture
- asynchronous transcription jobs
- prompt-library driven transcription behavior, with one Markdown file per prompt
- transcript review and revision history
- full-text search over accepted transcripts
- export of transcript data
## Deployment Topology
The production deployment uses [Docker Compose](https://docs.docker.com/compose/) and treats containerized databases as extremely lightweight operational dependencies.
Running [PostgreSQL](https://www.postgresql.org/docs/) in its own container is considered simple by default for this system.
Running [MongoDB](https://www.mongodb.com/docs/) in its own container is also considered simple when document-centric storage is enabled.
Container count is not a hard architectural limit; a three-container deployment (app, PostgreSQL, MongoDB) is an acceptable baseline.
### Baseline Topology (Two Containers)
- one application container
- one PostgreSQL container
- embedded background worker execution inside the app process
### Expanded Topology (Three Containers)
- application container
- PostgreSQL container
- MongoDB container
No additional queue, scheduler, or search-engine containers are required in the baseline production setup.
## Runtime Architecture
```mermaid
flowchart LR
User[Browser User] --> App[FastAPI + NiceGUI Service]
App --> Worker[In-process Background Worker]
App --> PG[(PostgreSQL)]
App --> MG[(MongoDB Document Store)]
Worker --> AI[Transcription Provider]
Worker --> PG
Worker --> MG
```
## Runtime Ownership And Startup Policy (V1 Step 1)
The current implementation now uses explicit lifespan-owned runtime resources.
- application lifespan initializes and disposes database runtime resources
- worker lifecycle is owned by application lifespan startup/shutdown
- worker receives lifespan-owned database engine dependency explicitly
- schema bootstrap policy is environment-aware and explicit:
- development/test default to bootstrap enabled
- production defaults to bootstrap disabled
- explicit override is available via configuration
This aligns implementation toward REQ-7 and REQ-10 while preserving personal-scale operational simplicity.
## Layered Module Structure
### Interface Layer
Responsibility:
- HTTP API and UI routes
- request/response validation
- status and result presentation
Out of scope:
- business-rule enforcement
- data-access implementation
### Application Layer
Responsibility:
- upload and job orchestration
- state transitions and retry policy
- coordination across domain and infrastructure ports
Out of scope:
- provider-specific protocol details
- ORM or storage-specific logic
### Domain Layer
Responsibility:
- verbatim transcription policy
- revision and provenance invariants
- confidence and annotation semantics
Out of scope:
- web framework concerns
- database and network I/O
### Infrastructure Layer
Responsibility:
- persistence adapters (PostgreSQL and MongoDB)
- transcription-provider adapter
Out of scope:
- business policy decisions
## Processing Workflow
Production transcription flow:
1. A user uploads an image or PDF through the UI or API.
2. The application validates payloads and creates document and job records.
3. The in-process worker dequeues the job and calls the transcription provider.
4. The application persists transcript output, 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.
## Data Model Ownership
System-of-record entities:
- documents and pages
- transcription jobs and status events
- transcript revisions
- provenance metadata
Storage strategy:
- PostgreSQL for relational system-of-record entities
- MongoDB for document-oriented payloads and large transcription artifacts
- versioned prompt artifacts stored as individual Markdown files for human editing and refinement
- in-memory execution state treated as ephemeral
## Transcription Prompt Asset Policy
The production system treats transcription prompts as maintainable content assets.
- each transcription prompt is stored in its own Markdown file
- prompt files are designed for direct human editing and iterative refinement
- prompt updates are independent and do not require bundling unrelated prompt changes
- prompt file identity and revision history are tracked through normal repository version control
## Simplicity Guardrails
The production system enforces these constraints to prevent accidental over-engineering:
- PostgreSQL in a container is treated as a lightweight default dependency
- MongoDB in a container is treated as a lightweight optional dependency
- three containers (app, PostgreSQL, MongoDB) is an acceptable simple deployment
- no dedicated queue or search cluster is introduced without measured need
- external infrastructure is added only behind existing ports/adapters
## Extension Path
The architecture supports additive growth without changing domain contracts.
### Stage 1: Foundation (Current)
- upload, transcription, review, search, export
- in-process worker execution
- single provider adapter
- app plus PostgreSQL deployment
### Stage 2: Throughput Hardening
- optional MongoDB document-store enablement
- optional external worker/queue process
- stronger retry and dead-letter handling
### Stage 3: Intelligence Features
- entity extraction and cross-document linking
- timeline and narrative assembly
- optional multi-provider routing
Each stage preserves existing module boundaries and keeps migration risk low.
## Test Strategy
The test strategy is aligned to personal-scale operation with fast, deterministic feedback.
### Unit Tests
- domain transcription rules and annotation behavior
- revision-history invariants
- job state-transition logic
### Integration Tests
- repository behavior and transaction boundaries
- persistence-adapter and provider adapter contract mapping
- upload-to-persistence roundtrip
### End-to-End Tests
- happy path: upload, transcribe, review, search, export
- failure path: provider error, retry, surfaced failed status
### CI Execution Model
- fast suite on each push
- optional slower provider-sandbox checks on scheduled runs
## Risks And Controls
### Runtime Responsiveness
Risk:
- long jobs can reduce responsiveness in a single-process deployment
Control:
- bounded concurrency and visible job status in the UI
### Database Concurrency Limits
Risk:
- contention can appear under sustained concurrent writes in personal-scale infrastructure
Control:
- tuned connection pooling and phased use of MongoDB for document-heavy workloads
### Provider Output Variance
Risk:
- transcription quality varies by document type, handwriting legibility, and image quality
Control:
- first-class human review and immutable revision history
## Technology References
- [FastAPI documentation](https://fastapi.tiangolo.com/)
- [NiceGUI documentation](https://nicegui.io/documentation)
- [Docker Compose documentation](https://docs.docker.com/compose/)
- [PostgreSQL documentation](https://www.postgresql.org/docs/)
- [MongoDB documentation](https://www.mongodb.com/docs/)
## Related Pages
- [System overview](index.md)
- [Version 1 plan](ver1/ver1.md)
- [Version 1 Step 1 plan](ver1/ver1-step1.md)
- [Version 1 Step 1 results](ver1/ver1-step1-results.md)
- [Architecture decision records index](adr/README.md)
## Glossary
- Adapter: A component that translates between internal interfaces and external systems such as databases or AI services.
- Background job: Work executed outside the request/response path so the UI remains responsive.
- Boundary: A strict separation between modules with different responsibilities.
- CI (Continuous Integration): Automated test execution for code changes.
- Contract test: A test that verifies an adapter follows expected input/output behavior at a boundary.
- Domain layer: The module that contains core business rules and invariants.
- End-to-end test: A test that validates a full user flow across the running system.
- Full-text search: Text indexing and querying optimized for natural-language search.
- In-process worker: A background executor that runs within the same application process.
- Integration test: A test that verifies interactions between real modules and infrastructure components.
- MongoDB: A document-oriented database used for flexible, high-variance data structures.
- Modular monolith: A single deployable application with strongly separated internal modules.
- 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.
- 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.
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# Error Handling
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.
## Error Handling Objectives
The production error-handling model is designed to:
- make failures visible to the user in clear, actionable language
- preserve enough diagnostic detail for fast troubleshooting
- keep module behavior consistent across all boundaries
- distinguish expected domain failures from unexpected defects
- support safe retries for transient failures without hiding persistent faults
## Scope And Authority
This page governs error-handling behavior for:
- UI interactions (NiceGUI pages)
- API endpoints (FastAPI routes)
- application services and orchestration logic
- in-process background worker execution
- external provider adapters and persistence adapters
If implementation behavior conflicts with this document, this document is authoritative and implementation should be updated.
## Core Principles
- **Clarity first:** user-facing messages should explain what failed in plain language.
- **Actionability required:** each surfaced error should include a suggested next step.
- **Safety by default:** internal details are logged; sensitive details are not exposed by default in UI/API.
- **Consistency across boundaries:** category and structure should remain stable from source to surface.
- **Fail explicitly:** silent failure is prohibited.
- **Traceability:** every non-trivial error should be traceable with an error reference ID.
## Error Taxonomy
The system uses stable, implementation-independent categories:
| Category | Definition | Typical Source | Retriable |
| --- | --- | --- | --- |
| `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 |
| `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 |
| `infrastructure_persistent_error` | Non-transient environment issue | missing permissions, misconfiguration | no |
| `internal_unexpected_error` | Unhandled defect or unknown failure | uncaught exceptions, logic errors | unknown (default no) |
### Classification Rules
- Classification occurs as close as possible to the origin boundary.
- Provider-specific exceptions must be normalized into taxonomy categories before crossing service boundaries.
- Unknown exceptions are classified as `internal_unexpected_error` and logged with traceback.
- Category names are stable contracts and must not be changed casually.
## User-Facing Error Experience Contract
When an error is shown in the GUI, it must include:
1. **Title** (short context, e.g., “Upload failed”)
2. **Message** (plain-language explanation)
3. **Suggested action** (explicit next step)
4. **Error reference ID** (for support/debug traceability)
5. **Technical details** (optional/collapsible for advanced users)
### UI Message Rules
- Do not expose raw stack traces by default.
- Do not expose secrets, credentials, connection strings, or filesystem internals unless explicitly in debug tooling.
- Prefer domain language over implementation language.
- Use persistent visibility for important failures (dialog/card), not only transient toasts.
### Suggested Action Requirements
Every user-visible error must include a suggested course of action, such as:
- retry the operation
- check file type/size constraints
- refresh the jobs page
- verify environment configuration
- contact operator with error ID and timestamp
## API Error Response Contract
API errors should return a structured envelope with stable fields:
- `error_id`: short unique reference ID
- `category`: taxonomy category
- `message`: safe human-readable summary
- `suggestion`: recommended next step
- `details`: optional, only when safe and appropriate
- `timestamp`: UTC ISO-8601
HTTP status mapping guidance:
- `validation_error`, `user_input_error` -> `400`
- `not_found_error` -> `404`
- `conflict_error` -> `409`
- `external_provider_error` -> `502` or `503` (depending on failure mode)
- `infrastructure_transient_error` -> `503`
- `infrastructure_persistent_error` -> `500`
- `internal_unexpected_error` -> `500`
## Logging And Observability Contract
All logged errors must include, where available:
- `error_id`
- `category`
- `operation` (e.g., `upload.submit`, `worker.process_job`, `jobs.refresh`)
- `exception_type`
- `job_id`, `document_id` (when relevant)
- UTC timestamp
Rules:
- Use structured logging fields where practical.
- Use full traceback for unexpected errors (`internal_unexpected_error`).
- Log at boundary handoff points to preserve causal trail.
- Avoid duplicate noisy logging for the same exception at every layer.
## Recovery And Retry Policy
### Retriable Conditions
Retriable failures include:
- transient network/provider timeouts
- intermittent provider unavailability
- temporary DB/network interruptions
### Non-Retriable Conditions
Non-retriable failures include:
- invalid file formats
- missing required data
- permission/configuration failures
- deterministic domain conflicts
### Worker Behavior
- The worker must classify and persist failure details consistently.
- Retries should be bounded by configured limits.
- Exhausted retries must end in explicit failed status with recorded reason.
- No infinite retry loops are allowed.
## Boundary-Specific Responsibilities
### UI Layer
Responsibility:
- display user-safe error summaries and suggested actions
- show persistent error visibility for critical failures
- include error reference IDs in visible output
Out of scope:
- low-level exception parsing
- provider-specific protocol interpretation
### API Layer
Responsibility:
- map application exceptions into stable error envelopes and HTTP statuses
- preserve category and error_id continuity
Out of scope:
- domain-specific remediation logic
### Service Layer
Responsibility:
- classify domain and infrastructure exceptions
- convert adapter-specific failures into taxonomy categories
- return deterministic error types to callers
Out of scope:
- presentation formatting for UI
### Worker Layer
Responsibility:
- execute retry policy for retriable failures
- persist terminal failure details for jobs
- emit operational logs with category and identifiers
Out of scope:
- direct UI messaging
### Provider Adapter Layer
Responsibility:
- normalize provider SDK/HTTP failures into domain-neutral exceptions
- preserve raw provider context for logs (safely)
Out of scope:
- choosing user-facing wording
## Error Lifecycle Workflow
Standard lifecycle:
1. Failure occurs at a boundary or operation.
2. Exception is classified into taxonomy category.
3. `error_id` is created (or propagated).
4. Error is logged with required structured fields.
5. User/API receives safe message + suggested action.
6. Persistent job/resource state is updated when applicable.
7. Tests verify contract behavior for the pathway.
## Test Strategy For Error Handling
### Unit Tests
- category classification behavior
- retry eligibility decisions
- exception-to-message mapping safety
### Integration Tests
- UI pathways show clear message + suggested action for known failures
- API returns structured error envelope with expected status/category
- worker persists failed status and failure detail as required
### Regression Tests
- each previously observed production issue should have a guarding test
- contract tests must cover adapter error normalization behavior
## Known Failure Patterns And Prescribed Responses
| Pattern | Category | User Message | Suggested Action |
| --- | --- | --- | --- |
| Upload payload cannot be parsed by UI handler | `internal_unexpected_error` (until narrowed) | Upload failed due to unexpected processing error | Retry once; if repeated, report error ID and check runtime version compatibility |
| Unsupported extension | `user_input_error` | File type is not supported | Upload JPG, PNG, TIFF, or PDF |
| Empty file upload | `validation_error` | Uploaded file is empty | Choose a valid non-empty file and retry |
| Provider timeout | `external_provider_error` or `infrastructure_transient_error` | Transcription provider timed out | Retry from jobs page; if repeated, check provider status |
| Job lookup missing | `not_found_error` | Requested job was not found | Refresh jobs list and open a valid job |
## Governance And Update Process
This document is a living policy artifact.
Update this document when:
- new error categories are introduced
- handling behavior changes at any boundary
- a production incident reveals missing guidance
- API/UI error contracts change
Change requirements:
- update this document and associated tests in the same change set
- preserve taxonomy stability; if changed, document migration impact
- record noteworthy policy changes in project release notes or changelog
## Related Pages
- [System overview](index.md)
- [Architecture](architecture.md)
- [Requirements](requirements.md)
- [Intent](intent.md)
## Glossary
- Error category: Stable classification used to drive handling, messaging, and status mapping.
- Error envelope: Structured API payload describing a failure.
- Error reference ID: Short identifier used to correlate user-visible failure with logs.
- Retriable error: Failure likely to succeed on a later attempt without code changes.
- Terminal failure: Failure state after retries are exhausted or retry is not allowed.
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## Document Transcription System
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.
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:
- deployed topology and infrastructure limits
- module boundaries and dependency flow
- processing life cycle and data ownership
- test strategy, risk controls, and extension path
## 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.
Core capabilities:
- document upload and metadata capture
- asynchronous transcription with visible job status
- transcription prompt management with one Markdown file per prompt for human refinement over time
- revision history for transcript edits
- full-text search over accepted transcripts
- export of transcript data
## Production Operating Model
The system runs with minimal operational overhead:
- PostgreSQL in a dedicated Docker container is considered extremely lightweight and simple for this system
- MongoDB in a dedicated Docker container is also considered extremely lightweight and simple for document-centric persistence
- a three-container deployment (app, PostgreSQL, MongoDB) is a simple and acceptable baseline
- no required queue or search-engine containers in the baseline setup
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)
- Version 1 implementation plan: [ver1/ver1.md](ver1/ver1.md)
- Version 1 Step 1 plan: [ver1/ver1-step1.md](ver1/ver1-step1.md)
- Version 1 Step 1 results: [ver1/ver1-step1-results.md](ver1/ver1-step1-results.md)
- Architecture decision records (ADR index): [adr/README.md](adr/README.md)
- Runtime and deployment requirements: [requirements.md](requirements.md)
- Error handling policy and operational guidance: [error_handling.md](error_handling.md)
- Domain context and transcription policy: [intent.md](intent.md)
## Glossary
- Document-oriented persistence: Storing data as flexible records instead of fixed relational rows.
- Prompt artifact: A single Markdown file that defines one transcription prompt and is edited independently.
- System of record: The authoritative persistent store for canonical data.
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# 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.
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## 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
- dont 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
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## 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.
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## 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
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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
Youll see one warning from FastAPI/Starlette test client about `httpx` deprecation; it does not affect correctness and all tests pass.
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## 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 14 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
---
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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.)
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## 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 15)
- 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)
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## 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.
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## 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
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## 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 2050 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.
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## 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.
## Scope
- System of interest: the single Python application service (NiceGUI + FastAPI) with PostgreSQL as the relational system of record and optional MongoDB for document-oriented persistence.
- Operational context: local-first execution with Docker Compose and an intentionally lightweight production trajectory.
- Primary concern: end-to-end transcription job lifecycle from upload through completion or failure.
## Requirements Model (Concise Text Form)
### Requirements
| 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-2 | Functional | Run each upload through asynchronous processing that returns a transcription or explicit failure. | high | test |
| REQ-3 | Functional | Persist and expose job states: upload, queued, processing, transcribed, failed, completed. | 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 |
| REQ-7 | Design Constraint | Keep lifespan-owned runtime resources: SQLAlchemy engine, async session factory, worker resources, provider clients. | medium | inspection |
| REQ-8 | Design Constraint | Initialize configuration and logging once at startup through centralized mechanisms. | low | inspection |
| REQ-9 | Design Constraint | Use Docker Compose baseline of app plus PostgreSQL; allow optional MongoDB container when enabled. | medium | demonstration |
| 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 |
### Requirement Relationships
- Contains: REQ-0 contains REQ-1 through REQ-12.
- Derives: REQ-2 -> REQ-3, REQ-3 -> REQ-4.
- Traces: REQ-5 -> REQ-3.
- Refines: REQ-6 -> REQ-2.
### Architecture Elements
| Element | Type | Doc Reference |
| --- | --- | --- |
| UI | NiceGUI pages | src/transcription/ui/pages |
| API | FastAPI routes | src/transcription/api/routes.py |
| GRAPH | Async processing workflow | src/transcription/services, src/transcription/ai |
| DBREL | PostgreSQL + SQLModel relational persistence | src/transcription/db |
| DBDOC | MongoDB document persistence | src/transcription/db, src/transcription/services |
| OPS | Docker Compose runtime | docker-compose.yml |
| PROMPTS | Transcription prompt artifact library (Markdown files) | .github/prompts, docs |
| TESTS | Pytest verification suite | tests |
### Satisfaction Mapping
- UI satisfies REQ-1, REQ-5.
- API satisfies REQ-5.
- GRAPH satisfies REQ-2, REQ-6.
- DBREL satisfies REQ-3, REQ-10.
- 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.
## Requirement Notes
- Requirement IDs (`REQ-*`) are stable references for planning, implementation, and test traceability.
- The model uses compact tables and traceability lists for renderer compatibility while preserving SysML-style requirement IDs and relationship semantics.
- Requirement categories (functional, interface, performance, and design constraints) are preserved as explicit REQ entries and relationship labels to keep change impact visible.
- PostgreSQL containerization and optional MongoDB containerization are both treated as extremely lightweight and simple operational choices in this architecture.
## Verification Intent
- Demonstration: validate end-to-end behavior via running system flows and operator-visible outcomes.
- Inspection: verify architecture and startup/runtime policies in code and configuration.
- Analysis: evaluate asynchronous execution behavior and design sufficiency.
- Test: automate behavioral checks through pytest suites and service-level tests.
## Glossary
- Document-oriented persistence: A storage approach that uses flexible document structures for variable data shapes.
- Prompt artifact: A single Markdown file that defines one transcription prompt and is revised independently.
- SysML: Systems Modeling Language used to express structured requirements and traceability.
- System of record: The authoritative persistent store for canonical business data.
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# 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 (3060 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.
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def main():
print("Hello from transcription!")
if __name__ == "__main__":
main()
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# Prompt Artifacts
This directory stores transcription prompts as individual Markdown artifacts.
## Conventions
- Keep one prompt per file.
- Use stable, descriptive snake_case file names.
- Prefer incremental edits to a single prompt per change for clean history.
- Keep prompts human-readable and policy-focused.
- Do not store secrets in prompt files.
## Current Prompt
- `transcribe_document.md`: baseline verbatim transcription policy for historical documents.
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You are an assistant that may call tools.
Tool safety rules:
1) Tool arguments MUST be strict JSON matching the schema exactly.
2) Never place disallowed, sensitive, explicit, or policy-violating text directly into tool arguments.
3) If user content may be unsafe, first produce a brief neutral summary and pass only that summary.
4) Prefer IDs, enums, booleans, and short fields over raw free-form text.
5) Keep all string arguments <= 300 chars unless schema says otherwise.
6) If you cannot safely provide valid tool args, do not call the tool; respond with "NO_TOOL_CALL" and explain briefly.
7) Never include markdown/code fences in tool arguments.
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# Historical Document Verbatim Transcription Prompt
## Purpose
Transcribe the provided historical document image as a faithful **verbatim** transcript.
Do not summarize. Do not paraphrase. Do not modernize style.
## Output Contract
- Return only the transcription text.
- Preserve original wording, punctuation, and meaningful structure.
- Keep line/section flow readable while preserving intent and document organization.
- Never invent missing content.
## Rules for Ambiguous or Damaged Text
### Misspellings and original errors
- Preserve original spelling.
- Add `[sic]` immediately after an evident original error.
### Missing words or clear omissions
- If a single missing word is obvious from context, insert it in square brackets.
- Example form: `[to]`
### Uncertain readings
- If best-effort interpretation is uncertain, use bracketed guess with question mark.
- Example form: `[Boston?]`
### Completely illegible text
- Use a clear bracketed label.
- Preferred forms: `[illegible]`, `[torn]`, `[ink blot]`, `[remainder of page torn]`
### Crossed-out text
- Preserve it using: `[deleted: ...]`
### Squeezed-in or above-line insertions
- Preserve it using: `[inserted: ...]`
### Superscripts and abbreviations
- Bring superscript letters down to baseline text.
- Expand only when clearly intended; if expanded, place added letters in brackets.
### Non-text visual elements
- Describe briefly in square brackets.
- Example forms: `[wax notary seal attached here]`, `[sketch of a fort layout]`
### Marginalia and side notes
- Signal location before the note text.
- Example form: `[written in left margin: ...]`
### Line-break hyphenation
- Rejoin words split across line breaks when they are clearly one word.
- Remove only line-break hyphens used for wrapping.
### Ambiguous capitalization
- Prefer modern capitalization only when uncertainty is high.
- Preserve clearly intentional archaic capitalization.
### Hierarchical outlines and numbering
- Preserve original numbering characters exactly (including roman numerals and unusual suffixes).
- Preserve indentation levels.
- Do not silently correct sequence mistakes; if clearly erroneous, preserve and use `[sic]` where appropriate.
## Confidence and Integrity Policy
- When uncertain, mark uncertainty explicitly rather than guessing silently.
- If text cannot be read, use a bracketed illegibility label instead of fabrication.
- Do not add commentary outside the transcription.
## Final Self-Check
Before finalizing, ensure:
1. The transcript is verbatim and not summarized.
2. Uncertain/illegible areas are explicitly marked.
3. Crossed-out and inserted text are preserved with required tags.
4. Structure/ordering is preserved as faithfully as possible.
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/transcription"]
[project] [project]
name = "transcription" name = "transcription"
version = "0.1.0" version = "0.1.0"
description = "Add your description here" description = "Historical document transcription system"
readme = "README.md" readme = "README.md"
requires-python = ">=3.12" requires-python = ">=3.12"
dependencies = [ dependencies = [
"openai>=2.43.0", "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>=2.13.4",
"pydantic-settings>=2.9.1",
"sqlmodel>=0.0.25",
]
[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"
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)",
] ]
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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"
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"""API route modules for the transcription app."""
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"""Centralized API exception handlers."""
from __future__ import annotations
import logging
from fastapi import FastAPI
from fastapi import Request
from fastapi.responses import JSONResponse
from transcription.errors import AppError
from transcription.errors import ErrorCategory
from transcription.errors import build_error_envelope
logger = logging.getLogger(__name__)
_STATUS_BY_CATEGORY: dict[ErrorCategory, int] = {
ErrorCategory.VALIDATION: 400,
ErrorCategory.USER_INPUT: 400,
ErrorCategory.NOT_FOUND: 404,
ErrorCategory.CONFLICT: 409,
ErrorCategory.EXTERNAL_PROVIDER: 503,
ErrorCategory.INFRA_TRANSIENT: 503,
ErrorCategory.INFRA_PERSISTENT: 500,
ErrorCategory.INTERNAL_UNEXPECTED: 500,
}
def _status_for(error: AppError) -> int:
return _STATUS_BY_CATEGORY.get(error.category, 500)
def register_error_handlers(app: FastAPI) -> None:
"""Register API exception handlers on the app."""
@app.exception_handler(AppError)
async def app_error_handler(_request: Request, exc: AppError) -> JSONResponse:
envelope = build_error_envelope(exc)
return JSONResponse(status_code=_status_for(exc), content=envelope.__dict__)
@app.exception_handler(Exception)
async def fallback_error_handler(_request: Request, exc: Exception) -> JSONResponse:
normalized = AppError(
"Unexpected error while handling request",
category=ErrorCategory.INTERNAL_UNEXPECTED,
suggestion="Retry once. If it persists, report the error reference id.",
)
logger.exception(
"Unhandled API exception operation=api.request error_id=%s category=%s exception_type=%s",
normalized.error_id,
normalized.category.value,
type(exc).__name__,
)
envelope = build_error_envelope(normalized)
return JSONResponse(status_code=_status_for(normalized), content=envelope.__dict__)
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"""Health endpoint routes."""
from fastapi import APIRouter
router = APIRouter()
def healthz() -> dict[str, str]:
"""Return a simple health status payload."""
return {"status": "ok"}
@router.get("/healthz")
def healthz_route() -> dict[str, str]:
"""Route wrapper for health status payload."""
return healthz()
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"""Application factory and lifespan wiring for the transcription app."""
from __future__ import annotations
from contextlib import AsyncExitStack
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi import status
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 configure_logging
from .config import get_settings
from .db import create_all
from .db import dispose_database_runtime
from .db import initialize_database_runtime
from .services import ServiceBundle
from .ui import register_pages
from .worker import worker_consumer_lifespan
@asynccontextmanager
async def _lifespan(app: FastAPI):
configure_logging()
settings = getattr(app.state, "settings", None) or get_settings()
app.state.settings = settings
app.state.services = ServiceBundle()
app.state.runtime = initialize_database_runtime(settings=settings)
if settings.should_bootstrap_schema:
await create_all(engine=app.state.runtime.engine)
settings.upload_dir.mkdir(parents=True, exist_ok=True)
settings.prompt_dir.mkdir(parents=True, exist_ok=True)
async with AsyncExitStack() as stack:
stack.push_async_callback(dispose_database_runtime)
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
def create_app() -> FastAPI:
"""Create and configure the FastAPI application."""
app = FastAPI(title="Transcription", lifespan=_lifespan)
settings = get_settings()
app.state.settings = settings
app.mount(
"/uploads",
StaticFiles(directory=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)
register_error_handlers(app)
register_pages(app)
app.include_router(health_router)
return app
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"""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.runtime 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)
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"""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.
"""
import logging.config
from contextvars import ContextVar
from enum import StrEnum
from pathlib import Path
from typing import Literal
from pydantic_settings import BaseSettings
from pydantic_settings import SettingsConfigDict
logger = logging.getLogger(__name__)
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
# --- runtime environment ---
environment: Literal["development", "test", "production"] = "development"
# --- persistence ---
database_url: str = "sqlite:///./transcription.db"
bootstrap_schema_on_startup: bool | None = None
sqlite_check_same_thread: bool = False
# --- filesystem paths ---
upload_dir: Path = Path("./uploads")
prompt_dir: Path = Path("./prompts")
# --- worker reliability ---
worker_max_retries: int = 0
worker_retry_backoff_seconds: float = 0.0
@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:
return self.bootstrap_schema_on_startup
return self.environment in {"development", "test"}
_settings: ContextVar[Settings | None] = ContextVar("settings", default=None)
def get_settings(**kwargs) -> Settings:
settings = _settings.get()
if settings is None:
settings = Settings(**kwargs) # pyright: ignore[reportCallIssue]
_settings.set(settings)
return settings
LOGGING_CONFIG: dict[str, object] = {
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"standard": {
"format": "%(asctime)s %(levelname)-8s | %(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"],
},
"loggers": {
"transcription": {
"level": "DEBUG",
"handlers": ["console"],
"propagate": False,
}
},
}
def configure_logging() -> None:
"""Configure root logging once at startup."""
logging.config.dictConfig(LOGGING_CONFIG)
logger.debug("Logging configured")
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from .operations import create_all
from .runtime import dispose_database_runtime
from .runtime import get_session
from .runtime import initialize_database_runtime
__all__ = ["create_all", "dispose_database_runtime", "get_session", "initialize_database_runtime"]
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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 ..models import Job
from ..models import JobStatus
from .runtime import get_engine
logger = logging.getLogger(__name__)
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.created_at) # pyright: ignore[reportArgumentType]
.limit(1)
) # fmt: skip
return result.first()
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" 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 "transcript" in table_names:
transcript_columns = {column["name"] for column in inspector.get_columns("transcript")}
if "model" not in transcript_columns:
connection.execute(text("ALTER TABLE transcript ADD COLUMN model VARCHAR NOT NULL DEFAULT 'unknown'"))
logger.warning("Applied SQLite compatibility schema patch table=transcript column=model default=unknown")
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import logging
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from contextvars import ContextVar
from dataclasses import dataclass
from functools import partial
from sqlalchemy.ext.asyncio import AsyncEngine
from sqlalchemy.ext.asyncio import async_sessionmaker
from sqlalchemy.ext.asyncio import create_async_engine
from sqlmodel.ext.asyncio.session import AsyncSession
from sqlmodel.pool import StaticPool
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: 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 _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)
engine_factory = partial(
create_async_engine,
url=database_url,
echo=False,
pool_pre_ping=True,
)
if database_url.startswith("sqlite"):
sqlite_connect_settings = {"check_same_thread": settings.sqlite_check_same_thread}
engine_factory = partial(engine_factory, connect_args=sqlite_connect_settings)
if ":memory:" in database_url:
engine_factory = partial(engine_factory, poolclass=StaticPool)
return engine_factory()
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()
engine = _build_engine(active_settings)
session_factory = async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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
def get_engine(settings: Settings | None = None) -> AsyncEngine:
"""Return the current async SQLAlchemy engine."""
runtime = _runtime.get() or initialize_database_runtime(settings=settings)
return runtime.engine
def get_session_factory(settings: Settings | None = None) -> async_sessionmaker[AsyncSession]:
"""Return the shared async session factory."""
runtime = _runtime.get() or initialize_database_runtime(settings=settings)
return runtime.session_factory
@asynccontextmanager
async def get_session(
*,
settings: Settings | None = None,
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(settings)
async with active_session_factory() as session:
yield session
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"""Shared error taxonomy and helpers for runtime boundaries."""
from __future__ import annotations
from dataclasses import dataclass
from datetime import UTC
from datetime import datetime
from enum import StrEnum
from uuid import uuid4
class ErrorCategory(StrEnum):
"""Stable error categories defined by docs/error_handling.md."""
VALIDATION = "validation_error"
USER_INPUT = "user_input_error"
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"
def new_error_id() -> str:
"""Return a short, user-shareable error reference id."""
return uuid4().hex[:8]
class AppError(RuntimeError):
"""Base application error carrying user-safe handling metadata."""
def __init__(
self,
message: str,
*,
category: ErrorCategory = ErrorCategory.INTERNAL_UNEXPECTED,
suggestion: str = "Retry once. If it persists, review logs and report the error reference id.",
retriable: bool = False,
error_id: str | None = None,
) -> None:
super().__init__(message)
self.message = message
self.category = category
self.suggestion = suggestion
self.retriable = retriable
self.error_id = error_id or new_error_id()
@dataclass(frozen=True)
class ErrorEnvelope:
"""Serializable API/UI error payload."""
error_id: str
category: str
message: str
suggestion: str
timestamp: str
def build_error_envelope(error: AppError) -> ErrorEnvelope:
"""Build an API-safe response envelope from an AppError."""
return ErrorEnvelope(
error_id=error.error_id,
category=error.category.value,
message=error.message,
suggestion=error.suggestion,
timestamp=datetime.now(UTC).isoformat(),
)
def classify_unexpected_error(exc: Exception, *, operation: str) -> AppError:
"""Normalize unknown exceptions into internal_unexpected_error."""
return AppError(
f"Unexpected error during {operation}: {exc}",
category=ErrorCategory.INTERNAL_UNEXPECTED,
suggestion="Retry once. If it persists, review logs and report the error reference id.",
retriable=False,
)
def format_error_detail(error: AppError) -> str:
"""Return a compact persisted failure string for transcript.error_detail."""
return f"[{error.category.value}] {error.message} | suggestion={error.suggestion} | error_id={error.error_id}"
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"""SQLModel domain models for the transcription system.
Three models capture the MVP lifecycle:
Document -> one-to-many -> Job -> one-to-many -> Transcript
"""
from datetime import UTC
from datetime import datetime
from enum import StrEnum
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 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")
transcripts: list["Transcript"] = Relationship(back_populates="job")
@property
def filename(self) -> str:
"""Return the filename of the associated document."""
return self.document.filename if self.document else "unknown"
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")
"""ID for the associated job."""
revision: int = Field(default=0, ge=0)
"""Revision number for this job's transcript history, starting at 0."""
provider: str
"""Name of the transcription provider used to generate this transcript."""
model: str
"""Model identifier used to generate this transcript revision."""
prompt_name: str
"""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."""
created_at: datetime = Field(default_factory=lambda: datetime.now(UTC))
__table_args__ = (UniqueConstraint("job_id", "revision", name="uq_transcript_job_revision"),)
# --- relationships ---
job: Job = Relationship(back_populates="transcripts")
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"""Provider exports and factory for transcription adapters."""
from transcription.config import Provider
from transcription.config import Settings
from transcription.config import get_settings
from transcription.providers.base import ProviderAuthError
from transcription.providers.base import ProviderError
from transcription.providers.base import ProviderResponseError
from transcription.providers.base import TranscriptionProvider
from transcription.providers.base import TranscriptionResult
from transcription.providers.openrouter import OpenRouterTranscriptionProvider
def get_transcription_provider(*, settings: Settings | None = None) -> TranscriptionProvider:
"""Return the configured transcription provider adapter."""
runtime_settings = settings or get_settings()
if runtime_settings.provider == Provider.OPENROUTER:
return OpenRouterTranscriptionProvider(settings=runtime_settings)
raise ProviderError(f"Unsupported transcription provider: {runtime_settings.provider}")
__all__ = [
"OpenRouterTranscriptionProvider",
"ProviderAuthError",
"ProviderError",
"ProviderResponseError",
"TranscriptionProvider",
"TranscriptionResult",
"get_transcription_provider",
]
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"""Provider interfaces and shared types for transcription adapters."""
from dataclasses import dataclass
from typing import Protocol
from uuid import UUID
from ..models import Transcript
class ProviderError(RuntimeError):
"""Base error for provider failures."""
class ProviderAuthError(ProviderError):
"""Raised when provider authentication fails."""
class ProviderResponseError(ProviderError):
"""Raised when provider responses are malformed or unusable."""
@dataclass(frozen=True)
class TranscriptionResult:
"""Normalized output returned by any transcription provider."""
text: str
provider: str
prompt_name: str
model: str
def to_transcript(self, job_id: UUID, *, revision: int = 0) -> Transcript:
"""Convert a TranscriptionResult to a Transcript model instance."""
return Transcript(
job_id=job_id,
revision=revision,
provider=self.provider,
prompt_name=self.prompt_name,
model=self.model,
text=self.text,
)
class TranscriptionProvider(Protocol):
"""Contract every transcription provider adapter must satisfy."""
async def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
"""Transcribe the provided image according to the prompt text."""
...
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"""OpenRouter transcription provider adapter."""
from __future__ import annotations
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
from transcription.providers.base import ProviderAuthError
from transcription.providers.base import ProviderError
from transcription.providers.base import ProviderResponseError
from transcription.providers.base import TranscriptionResult
logger = logging.getLogger(__name__)
DEFAULT_OPENROUTER_MODEL = "google/gemini-2.5-flash"
@dataclass(frozen=True)
class OpenRouterRequest:
"""Normalized request payload fields for OpenRouter calls."""
model: str
messages: list[dict[str, Any]]
http_referer: str | None
x_open_router_title: str | None
class OpenRouterTranscriptionProvider:
"""Adapter that performs image transcription through OpenRouter."""
def __init__(self, *, settings: Settings | None = None, client: OpenRouter | None = None):
self._settings = settings or get_settings()
self._model = self._settings.provider_model or DEFAULT_OPENROUTER_MODEL
self._client = client or OpenRouter(api_key=self._settings.openrouter_api_key)
@property
def model(self) -> str:
"""Return the resolved OpenRouter model slug."""
return self._model
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 = await self._client.chat.send_async(
messages=cast(list[ChatMessagesTypedDict], request.messages),
model=request.model,
http_referer=request.http_referer,
x_open_router_title=request.x_open_router_title,
)
except Exception as exc:
message = str(exc).lower()
if "401" in message or "auth" in message or "api key" in message:
raise ProviderAuthError("OpenRouter authentication failed") from exc
raise ProviderError("OpenRouter request failed") from exc
text = self._extract_text(response)
model = self._get_optional_attr(response, "model") or self.model
logger.info("OpenRouter transcription completed using model=%s", model)
return TranscriptionResult(text=text, provider="openrouter", prompt_name="", model=model)
def _build_request(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> OpenRouterRequest:
image_b64 = base64.b64encode(image_bytes).decode("ascii")
data_url = f"data:{mime_type};base64,{image_b64}"
messages: list[dict[str, Any]] = [
{
"role": "user",
"content": [
{"type": "text", "text": prompt_text},
{"type": "image_url", "image_url": {"url": data_url}},
],
}
]
return OpenRouterRequest(
model=self.model,
messages=messages,
http_referer=self._settings.openrouter_http_referer,
x_open_router_title=self._settings.openrouter_app_title,
)
def _extract_text(self, response: Any) -> str:
choices = self._get_optional_attr(response, "choices")
if not choices:
raise ProviderResponseError("OpenRouter response missing choices")
first_choice = choices[0]
message = self._get_optional_attr(first_choice, "message")
if message is None:
raise ProviderResponseError("OpenRouter response missing assistant message")
content = self._get_optional_attr(message, "content")
text = self._normalize_content(content)
if not text:
raise ProviderResponseError("OpenRouter response contained no transcription text")
return text
def _normalize_content(self, content: Any) -> str:
if isinstance(content, str):
return content.strip()
if isinstance(content, list):
parts: list[str] = []
for item in content:
text_part = None
text_part = item.get("text") if isinstance(item, dict) else self._get_optional_attr(item, "text")
if isinstance(text_part, str) and text_part.strip():
parts.append(text_part.strip())
return "\n".join(parts).strip()
return ""
@staticmethod
def _get_optional_attr(obj: Any, key: str) -> Any:
if obj is None:
return None
if isinstance(obj, dict):
return obj.get(key)
return getattr(obj, key, None)
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"""Service layer exports."""
from dataclasses import dataclass
from dataclasses import field
from .documents import DocumentService
from .jobs import JobService
from .transcription import TranscriptionService
__all__ = ["DocumentService", "JobService", "ServiceBundle", "TranscriptionService"]
@dataclass(frozen=True, slots=True)
class ServiceBundle:
"""Container for all service instances."""
documents: DocumentService = field(default_factory=DocumentService)
jobs: JobService = field(default_factory=JobService)
transcriptions: TranscriptionService = field(default_factory=TranscriptionService)
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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.runtime import get_session_factory
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 get_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."""
if session is not None:
# Reuse the provided session if one is passed in
yield session
else:
# Otherwise, create a new session for this scope
async with self.session_factory() as new_session:
yield new_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)
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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 ..errors import AppError
from ..errors import ErrorCategory
from ..models import Document
from .base import ServiceBase
logger = logging.getLogger(__name__)
class DocumentError(AppError):
"""Raised when document operations fail."""
class MissingImageError(DocumentError):
"""Raised when a required image is missing."""
class UploadError(DocumentError):
"""Raised when uploaded content cannot be persisted safely."""
class DocumentAlreadyExistsError(DocumentError):
"""Raised when a document with the same filename 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 for the document.
"""
async with self._session_scope(session) as _session:
document = await _session.get(
Document,
document_id,
options=(selectinload(Document.jobs),), # 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 Path(document.file_path).exists():
raise MissingImageError(
f"Document with id {document_id} is missing its image file in {self.settings.upload_dir:!s}",
category=ErrorCategory.NOT_FOUND,
suggestion="Re-upload the source 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, *, filename: 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 filename is not None:
query = query.where(Document.filename == filename)
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()
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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 ..models import Job
from ..models import JobStatus
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.transcripts), # 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]
if status is not None:
query = query.where(Job.status == status)
if filename is not None:
query = query.where(Job.document.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]
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.updated_at = 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]
.where(Job.status == JobStatus.QUEUED)
.order_by(Job.created_at) # pyright: ignore[reportArgumentType]
)
return (await _session.exec(query)).first()
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from __future__ import annotations
import logging
from pathlib import Path
from uuid import uuid4
from sqlmodel.ext.asyncio.session import AsyncSession
from transcription.config import Settings
from transcription.config import get_settings
from transcription.errors import AppError
from transcription.errors import ErrorCategory
from ..models import Document
from ..models import Job
from .documents import UploadJobResult
logger = logging.getLogger(__name__)
SUPPORTED_UPLOAD_EXTENSIONS = {".jpg", ".jpeg", ".png", ".tif", ".tiff", ".pdf"}
class UploadError(AppError):
"""Raised when uploaded content cannot be persisted safely."""
async def create_upload_job(
*,
filename: str,
file_bytes: bytes,
session: AsyncSession,
settings: Settings | None = None,
) -> UploadJobResult:
"""Create upload-backed document and queued job records."""
runtime_settings = settings or get_settings()
stored_path = store_file(
filename=filename,
file_bytes=file_bytes,
settings=runtime_settings,
)
try:
document, job = await _create_upload_records(
session=session,
original_filename=filename,
stored_path=stored_path,
)
except Exception as exc:
_best_effort_delete(stored_path)
raise UploadError(
"Failed to create upload database records",
category=ErrorCategory.INFRA_TRANSIENT,
suggestion="Retry upload. If this keeps happening, verify database availability.",
retriable=True,
) from exc
logger.info("Created upload job document_id=%s job_id=%s", document.id, job.id)
return UploadJobResult(
document_id=document.id,
job_id=job.id,
stored_path=stored_path,
original_filename=Path(filename).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)
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)
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(
"Upload payload is empty",
category=ErrorCategory.VALIDATION,
suggestion="Select a non-empty file and try again.",
)
safe_name = Path(filename).name
if not safe_name:
raise UploadError(
"Upload filename is required",
category=ErrorCategory.VALIDATION,
suggestion="Choose a file with a valid filename and retry.",
)
suffix = Path(safe_name).suffix.lower()
if suffix not in SUPPORTED_UPLOAD_EXTENSIONS:
raise UploadError(
f"Unsupported upload extension: {suffix}",
category=ErrorCategory.USER_INPUT,
suggestion="Upload JPG, JPEG, PNG, TIFF, or PDF files only.",
)
def _build_stored_filename(filename: str) -> str:
safe_name = Path(filename).name
return f"{uuid4()}_{safe_name}"
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"""Prompt loading and provider-backed transcription service."""
from __future__ import annotations
import logging
import mimetypes
from collections.abc import Sequence
from contextlib import contextmanager
from pathlib import Path
from uuid import UUID
from sqlalchemy import func
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.errors import AppError
from transcription.errors import ErrorCategory
from transcription.models import Transcript
from transcription.providers import ProviderAuthError
from transcription.providers import ProviderError
from transcription.providers import ProviderResponseError
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"
SUPPORTED_EXTENSIONS = {".jpg", ".jpeg", ".png", ".tif", ".tiff", ".pdf"}
class PromptLoadError(AppError):
"""Raised when prompt artifacts cannot be loaded safely."""
class TranscriptionError(AppError):
"""Raised when transcription execution fails."""
class TranscriptionNotFoundError(TranscriptionError):
"""Raised when a transcription is not found in the database."""
class TranscriptionService(ServiceBase):
"""Service class for managing transcription operations.
This is the top-level service that composes functionality from the other services."""
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_transcript(self, transcript: Transcript, *, session: AsyncSession | None = None) -> Transcript:
"""Create a new transcript in the database."""
async with self._session_scope(session) as _session:
_session.add(transcript)
await self._finalize(session=_session, caller_session=session, refresh=(transcript,))
return transcript
async def read_transcript(self, transcript_id: UUID, *, session: AsyncSession | None = None) -> Transcript:
"""Read an existing transcript from the database."""
async with self._session_scope(session) as _session:
transcript = await _session.get(
Transcript,
transcript_id,
# Makes the full Job model object available in the return Transcript object
options=(selectinload(Transcript.job),), # pyright: ignore[reportArgumentType]
)
if transcript is None:
raise TranscriptionNotFoundError(
f"Transcript with id {transcript_id} not found",
category=ErrorCategory.NOT_FOUND,
suggestion="Verify the transcript id and retry.",
)
return transcript
async def update_transcript(self, transcript: Transcript, *, session: AsyncSession | None = None) -> Transcript:
"""Update an existing transcript in the database."""
async with self._session_scope(session) as _session:
merged = await _session.merge(transcript)
await self._finalize(session=_session, caller_session=session, refresh=(merged,))
return merged
async def delete_transcript(self, transcript: Transcript, *, session: AsyncSession | None = None) -> None:
"""Delete a transcript from the database."""
async with self._session_scope(session) as _session:
await _session.delete(transcript)
await self._finalize(session=_session, caller_session=session)
async def transcribe_document(
self,
image_path: str | Path,
job_id: UUID,
*,
prompt_name: str = DEFAULT_PROMPT_FILE,
session: AsyncSession | 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.create_transcript_for_job(
job_id=job_id,
text=result.text,
provider=result.provider,
model=result.model,
prompt_name=result.prompt_name,
session=session,
)
async def create_transcript_for_job(
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,
) -> Transcript:
"""Create a new transcript revision for a job id."""
async with self._session_scope(session) as _session:
rev_query = select(func.max(Transcript.revision)).where(Transcript.job_id == job_id)
rev_result = await _session.exec(rev_query)
max_revision = -1 if (rev := rev_result.one_or_none()) is None else rev
next_revision = max_revision + 1
transcript = Transcript(
job_id=job_id,
revision=next_revision,
provider=provider or self.settings.provider.value,
model=model or _resolve_transcript_model(provider=self.provider, settings=self.settings),
prompt_name=prompt_name,
text=text,
error_detail=error_detail,
)
_session.add(transcript)
await self._finalize(session=_session, caller_session=session, refresh=(transcript,))
return transcript
async def read_latest_transcript_by_job(
self,
job_id: UUID,
*,
session: AsyncSession | None = None,
) -> Transcript | None:
"""Read the latest transcript revision for a job id."""
async with self._session_scope(session) as _session:
query = _transcript_job_query(job_id=job_id).limit(1)
result = await _session.exec(query)
return result.one_or_none()
async def list_transcripts_by_job(
self,
job_id: UUID,
*,
session: AsyncSession | None = None,
) -> Sequence[Transcript]:
"""List transcript revisions for a job id in ascending revision order."""
async with self._session_scope(session) as _session:
query = _transcript_job_query(job_id=job_id)
result = await _session.exec(query)
return result.all()
def _transcript_job_query(job_id: UUID):
return (
select(Transcript)
.where(Transcript.job_id == job_id)
.options(selectinload(Transcript.job)) # pyright: ignore[reportArgumentType]
.order_by(Transcript.revision) # pyright: ignore[reportArgumentType]
) # fmt: skip
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()
prompt_path = runtime_settings.prompt_dir / prompt_name
if not prompt_path.exists() or not prompt_path.is_file():
raise PromptLoadError(
f"Prompt file not found: {prompt_path}",
category=ErrorCategory.INFRA_PERSISTENT,
suggestion="Verify PROMPT_DIR and prompt file configuration, then retry.",
)
prompt_text = prompt_path.read_text(encoding="utf-8").strip()
if not prompt_text:
raise PromptLoadError(
f"Prompt file is empty: {prompt_path}",
category=ErrorCategory.VALIDATION,
suggestion="Populate the prompt file with valid instructions and retry.",
)
logger.info("Loaded prompt artifact: %s", prompt_path)
return prompt_text
def load_image_payload(image_path: str | Path) -> tuple[bytes, str]:
"""Read image bytes and detect mime type for supported uploads."""
path = Path(image_path)
if not path.exists() or not path.is_file():
raise TranscriptionError(
f"Image file not found: {path}",
category=ErrorCategory.NOT_FOUND,
suggestion="Verify the uploaded file exists and retry from the jobs page.",
)
suffix = path.suffix.lower()
if suffix not in SUPPORTED_EXTENSIONS:
raise TranscriptionError(
f"Unsupported file type: {suffix}",
category=ErrorCategory.USER_INPUT,
suggestion="Use JPG, JPEG, PNG, TIFF, or PDF files.",
)
mime_type, _ = mimetypes.guess_type(path.name)
if suffix in {".tif", ".tiff"}:
mime_type = "image/tiff"
if not mime_type:
raise TranscriptionError(
f"Unable to determine MIME type for: {path}",
category=ErrorCategory.VALIDATION,
suggestion="Re-save the file in a supported format and retry.",
)
return path.read_bytes(), mime_type
@contextmanager
def handle_transcription_errors():
"""Context manager to handle transcription errors."""
try:
yield
except ProviderAuthError as exc:
raise TranscriptionError(
"Provider authentication failed",
category=ErrorCategory.INFRA_PERSISTENT,
suggestion="Verify provider API credentials and retry.",
) from exc
except ProviderResponseError as exc:
raise TranscriptionError(
"Provider returned an invalid response",
category=ErrorCategory.EXTERNAL_PROVIDER,
suggestion="Retry once. If it persists, try a different provider model or inspect provider status.",
retriable=True,
) from exc
except ProviderError as exc:
raise TranscriptionError(
"Provider transcription failed",
category=ErrorCategory.EXTERNAL_PROVIDER,
suggestion="Retry the transcription from jobs. If repeated, check provider availability.",
retriable=True,
) from exc
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import asyncio
import logging
from sqlmodel.ext.asyncio.session import AsyncSession
from ..config import Settings
from ..config import get_settings
from ..errors import AppError
from ..errors import classify_unexpected_error
from ..errors import format_error_detail
from ..models import Job
from ..models import JobStatus
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, 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,
session: AsyncSession | None = None,
) -> Job | None:
"""Process one complete transcription attempt for a queued job."""
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()
document = job.document
assert document is not None, (
f"Job {job.id} has no associated document or the document failed to be loaded by the job service."
)
try:
result = await transcribe_document_image(document.file_path)
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 provider=%s",
job.id,
document.id,
result.provider,
)
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 error_id=%s category=%s",
job.id,
document.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: transcript + TRANSCRIBED in one commit."""
if session is None:
async with services.jobs._session_scope() as local_session:
await services.transcriptions.create_transcript_for_job(
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.create_transcript_for_job(
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: transcript error + QUEUED + retry increment in one commit."""
if session is None:
async with services.jobs._session_scope() as local_session:
await services.transcriptions.create_transcript_for_job(
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.create_transcript_for_job(
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: transcript error + FAILED in one commit."""
if session is None:
async with services.jobs._session_scope() as local_session:
await services.transcriptions.create_transcript_for_job(
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.create_transcript_for_job(
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
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"""UI page registration exports."""
from pathlib import Path
from fastapi import FastAPI
from nicegui import app as nicegui_app
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
_THEME_REGISTERED_STATE_KEY = "transcription_ui_theme_registered"
_THEME_COLORS: dict[str, str] = {
"primary": "#6f97e8",
"secondary": "#92b5f5",
"accent": "#7fc0de",
"dark": "#22304a",
"dark_page": "#1a2538",
"positive": "#86c8ad",
"negative": "#d98a9a",
"info": "#7ebdda",
"warning": "#e2c083",
}
def _register_global_styles(app: FastAPI) -> None:
if getattr(app.state, _THEME_REGISTERED_STATE_KEY, False):
return
nicegui_app.colors(**_THEME_COLORS)
css_path = Path(__file__).resolve().parent / "static" / "colors.css"
if css_path.exists():
ui.add_css(css_path, 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, dark=True)
@@ -0,0 +1,7 @@
"""Reusable UI component exports."""
from transcription.ui.components.app_shell import NAV_ITEMS
from transcription.ui.components.app_shell import render_navigation_header
from transcription.ui.components.document_panzoom import render_document_panzoom
__all__ = ["NAV_ITEMS", "render_document_panzoom", "render_navigation_header"]
@@ -0,0 +1,59 @@
"""Reusable app shell primitives for page-level layout."""
from __future__ import annotations
from nicegui import ui
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 _button_props(*, icon: str, is_active: bool) -> str:
if is_active:
return f"icon={icon} no-caps unelevated color=primary text-color=white"
return f"icon={icon} no-caps outline color=secondary text-color=secondary"
def _button_classes(*, is_active: bool) -> str:
base = "w-full sm:w-auto min-h-[40px] px-3 rounded-lg text-body2 text-weight-medium"
if is_active:
return f"{base}"
return f"{base}"
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)
button = ui.button(
label,
icon=icon,
on_click=lambda _=None, route=path: ui.navigate.to(route),
)
button.props(_button_props(icon=icon, is_active=is_active)).classes(_button_classes(is_active=is_active))
def _normalize_path(current_path: str | None) -> str:
normalized = (current_path or "").strip()
if not normalized:
return "/upload"
return normalized.rstrip("/") or "/"
def render_navigation_header(*, current_path: str | None = None) -> None:
"""Render a shared app header with links for top-level pages."""
normalized_path = _normalize_path(current_path)
with (
ui.header(elevated=True).props("bordered").classes("bg-dark text-white q-px-sm q-py-xs"),
ui.row().classes("w-full items-center justify-end q-gutter-xs"),
ui.element("div").classes("w-full grid grid-cols-2 gap-2 sm:flex sm:justify-start sm:gap-2"),
):
for label, path, icon in NAV_ITEMS:
_render_nav_button(label=label, path=path, icon=icon, current_path=normalized_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.models import Document
PANGOZOOM_CDN_URL = "https://unpkg.com/@panzoom/[email protected]/dist/panzoom.min.js"
UPLOADS_URL_PREFIX = "/uploads"
def render_document_panzoom(*, document: Document) -> None:
"""Render a document preview with pan and zoom interactions."""
_register_panzoom_assets()
host_id = f"document-panzoom-{uuid4().hex}"
document_url = _document_url(document)
document_kind = _document_kind(document)
with ui.card().classes("w-full q-pa-md"):
with ui.row().classes("w-full items-center justify-between no-wrap"):
ui.label("Document preview").classes("text-subtitle1 text-weight-medium")
ui.label(document.filename).classes("text-caption text-grey-4 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="{document.filename}" '
"data-panzoom-target></iframe>"
)
else:
ui.html(
f'<img class="document-panzoom-media" '
f'src="{document_url}" alt="{document.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: white;
}
</style>
""",
shared=True,
)
def _document_url(document: Document) -> str:
file_path = Path(document.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(document: Document) -> str:
suffix = Path(document.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();
}})();
"""
)
@@ -0,0 +1,42 @@
"""Shared UI error rendering helpers."""
from __future__ import annotations
from nicegui import ui
from transcription.errors import AppError
from transcription.errors import ErrorCategory
from transcription.errors import classify_unexpected_error
def to_app_error(exc: Exception, *, operation: str) -> AppError:
"""Normalize any exception for consistent UI display."""
if isinstance(exc, AppError):
return exc
return classify_unexpected_error(exc, operation=operation)
def show_error(exc: Exception, *, title: str, operation: str) -> None:
"""Display a visible, actionable UI error with trace id."""
error = to_app_error(exc, operation=operation)
ui.notify(
f"{title}: {error.message} (ref: {error.error_id})",
type="negative",
timeout=0,
close_button="Dismiss",
)
with ui.card().classes("bg-red-1 text-red-10 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")
ui.label(f"Error reference: {error.error_id}").classes("text-caption")
ui.label(f"Category: {error.category.value}").classes("text-caption")
def summarize_error(exc: Exception, *, operation: str) -> str:
"""Return short one-line summary for status labels."""
error = to_app_error(exc, operation=operation)
if error.category == ErrorCategory.INTERNAL_UNEXPECTED:
return f"Unexpected error (ref: {error.error_id})"
return f"{error.message} (ref: {error.error_id})"
@@ -0,0 +1,103 @@
"""Reusable job detail rendering helpers."""
from __future__ import annotations
import logging
from collections.abc import Sequence
from nicegui import ui
from transcription.models import Document
from transcription.models import Job
from transcription.models import Transcript
from transcription.ui.components.document_panzoom import render_document_panzoom
logger = logging.getLogger(__name__)
def _status_chip_classes(status: str) -> str:
if status == "queued":
return "bg-blue-1 text-blue-10"
if status == "processing":
return "bg-amber-1 text-amber-10"
if status == "transcribed":
return "bg-green-1 text-green-10"
if status == "failed":
return "bg-red-1 text-red-10"
return "bg-grey-2 text-grey-9"
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 text-grey-5 text-uppercase w-28")
ui.label(value).classes("text-body2 text-right text-grey-1 break-all")
def _render_document_section(document: Document) -> None:
with ui.card().classes("w-full q-pa-md"):
ui.label("Document").classes("text-subtitle1 text-weight-medium")
ui.separator().classes("q-my-sm")
with ui.column().classes("w-full q-gutter-y-xs"):
_metadata_row("Filename", document.filename)
_metadata_row("File path", document.file_path)
ui.separator().classes("q-my-md")
render_document_panzoom(document=document)
def _render_transcript_section(transcripts: Sequence[Transcript]) -> None:
with ui.card().classes("w-full q-pa-md"):
ui.label("Transcripts").classes("text-subtitle1 text-weight-medium")
ui.separator().classes("q-my-sm")
if not transcripts:
ui.label("Transcript history is not available yet.").classes("text-body2 text-grey-3")
return
for transcript in transcripts:
with ui.column().classes("w-full q-gutter-y-xs"):
_metadata_row("Revision", str(transcript.revision))
_metadata_row("Provider", transcript.provider)
_metadata_row("Prompt", transcript.prompt_name)
_metadata_row("Created", transcript.created_at.isoformat())
if transcript.text:
ui.separator().classes("q-my-sm")
with ui.card().classes("w-fullq-pa-sm"):
ui.markdown(transcript.text).classes("text-grey-1")
elif transcript.error_detail:
ui.separator().classes("q-my-sm")
with ui.card().classes("w-full bg-red-1 text-red-10 q-pa-sm"):
ui.label("Failure detail").classes("text-caption text-uppercase")
ui.label(transcript.error_detail).classes("text-body2")
ui.separator().classes("q-my-md bg-blue-grey-7")
def render_job_detail(*, job: Job, document: Document | None, transcripts: Sequence[Transcript]) -> None:
"""Render all sections for the job detail page."""
logger.debug("Rendering job detail for job ID %s with %d transcripts", job.id, len(transcripts))
status_text = job.status.value
with ui.column().classes("w-full max-w-4xl q-gutter-md"):
with ui.card().classes("w-full q-pa-lg"):
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 text-grey-5")
status_chip_classes = (
"q-px-sm q-py-xs rounded-borders "
"text-weight-medium text-capitalize "
f"{_status_chip_classes(status_text)}"
)
ui.label(status_text).classes(status_chip_classes)
ui.separator().classes("q-my-md bg-blue-grey-7")
with ui.column().classes("w-full q-gutter-y-xs"):
_metadata_row("Created", job.created_at.isoformat())
_metadata_row("Updated", job.updated_at.isoformat())
_metadata_row("Retries", str(job.retry_count))
if document is not None:
_render_document_section(document)
_render_transcript_section(transcripts)
@@ -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
created_at: str
updated_at: 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,
"created_at": _format_timestamp(row.created_at),
"updated_at": _format_timestamp(row.updated_at),
"created_sort": row.created_at,
"updated_sort": row.updated_at,
}
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": "created_at", "label": "Created", "field": "created_at", "sortable": True},
{"name": "updated_at", "label": "Updated", "field": "updated_at", "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 +1,86 @@
"""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.models import Transcript
type TranscriptAction = Callable[[Transcript], Awaitable[None] | None]
def render_transcript_revision_row(
*,
transcript: Transcript,
initially_expanded: bool = False,
classes: str = "w-full",
on_delete: TranscriptAction | None = None,
) -> Any:
"""Render one collapsible row for a single transcript revision."""
status_label = "Failed" if transcript.error_detail else "Transcribed"
header = f"Revision {transcript.revision} | {status_label}"
caption = f"{transcript.provider} | {transcript.model} | {_format_created_at(transcript.created_at)}"
expansion = ui.expansion(value=initially_expanded, group="group").classes(
f"{classes} rounded-borders bg-blue-grey-10"
)
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 text-grey-5")
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(transcript)
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="Provider", value=transcript.provider)
_metadata_row(label="Model", value=transcript.model)
_metadata_row(label="Created", value=_format_created_at(transcript.created_at))
if transcript.text:
with ui.card().classes("w-full q-pa-sm"):
ui.markdown(transcript.text)
if transcript.error_detail:
with ui.card().classes("w-full bg-red-1 text-red-10 q-pa-sm"):
ui.label("Failure detail").classes("text-caption text-uppercase")
ui.label(transcript.error_detail).classes("text-body2")
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 text-grey-5 text-uppercase")
ui.label(value).classes("text-body2 text-right text-grey-1 break-all")
+66
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@@ -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"')
+99
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@@ -0,0 +1,99 @@
"""Jobs list and detail page registration."""
from __future__ import annotations
from uuid import UUID
from fastapi import Request
from nicegui import ui
from transcription.app_state import resolve_session_factory
from transcription.models import JobStatus
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.table.jobs import render_jobs_table
from ..components.document_panzoom import render_document_panzoom
from ..components.table.jobs import JobTableRow
from ..components.transcript import render_transcript_revision_row
def register_page() -> None:
"""Register jobs list and detail routes."""
@ui.page("/jobs")
async def jobs_page(request: Request) -> None:
session_factory = resolve_session_factory(request.app.state)
jobs_service = JobService(session_factory=session_factory)
render_navigation_header(current_path="/jobs")
@ui.refreshable
async def render_table() -> None:
jobs = [
JobTableRow(
id=job.id,
status=job.status.value,
filename=job.filename,
retry_count=job.retry_count,
created_at=job.created_at.isoformat(),
updated_at=job.updated_at.isoformat(),
)
for job in await jobs_service.list_jobs()
]
render_jobs_table(jobs)
ui.button("Refresh", on_click=render_table.refresh, icon="refresh")
await render_table()
@ui.page("/jobs/{job_id}")
async def job_detail_page(job_id: str, request: Request) -> None:
session_factory = resolve_session_factory(request.app.state)
jobs_service = JobService(session_factory=session_factory)
transcription_service = TranscriptionService(session_factory=session_factory)
render_navigation_header(current_path="/jobs")
job = await jobs_service.read_job(job_id=UUID(job_id))
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"):
render_document_panzoom(document=job.document)
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="green", text_color="white").props("outline")
case _:
ui.label(f"{job.status.value}").classes("text-subtitle1 text-weight-medium")
async def delete_transcript_by_id(transcript_id: UUID, revision: int) -> None:
try:
transcript = await transcription_service.read_transcript(transcript_id=transcript_id)
await transcription_service.delete_transcript(transcript)
except Exception as exc: # noqa: BLE001
show_error(exc, title="Delete failed", operation="jobs.delete_transcript")
return
ui.notify(f"Deleted revision {revision}", type="positive")
await render_transcript_list.refresh()
@ui.refreshable
async def render_transcript_list() -> None:
refreshed_job = await jobs_service.read_job(job_id=UUID(job_id))
for i, transcript in enumerate(refreshed_job.transcripts):
render_transcript_revision_row(
transcript=transcript,
initially_expanded=(i == 0),
on_delete=(
lambda _transcript, tid=transcript.id, rev=transcript.revision: delete_transcript_by_id(
tid,
rev,
)
),
)
await render_transcript_list()
+33
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@@ -0,0 +1,33 @@
"""Upload page registration and handlers."""
from __future__ import annotations
from fastapi import Request
from nicegui import ui
from transcription.app_state import resolve_session_factory
from transcription.db import get_session
from transcription.services.store import create_upload_job
from transcription.ui.components.app_shell import render_navigation_header
from transcription.ui.components.upload import render_upload_widget
from transcription.worker import resolve_worker_notifier
def register_page() -> None:
"""Register the upload page route."""
@ui.page("/upload", title="Upload Document")
def upload_page(request: Request) -> None:
render_navigation_header(current_path="/upload")
session_factory = resolve_session_factory(request.app.state)
async def submit_upload(filename: str, file_bytes: bytes):
async with get_session(session_factory=session_factory) as session:
return await create_upload_job(
filename=filename,
file_bytes=file_bytes,
session=session,
)
notify_worker = resolve_worker_notifier(request.app.state)
render_upload_widget(submitter=submit_upload, notifier=notify_worker)
+30
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@@ -0,0 +1,30 @@
:root {
/* Soft blue-night palette tokens */
--ctp-rosewater: #f2dde5;
--ctp-flamingo: #edcfd8;
--ctp-pink: #dcc7de;
--ctp-mauve: #a9bde5;
--ctp-red: #d98a9a;
--ctp-maroon: #d39aa5;
--ctp-peach: #d7af8c;
--ctp-yellow: #e2c083;
--ctp-green: #86c8ad;
--ctp-teal: #77bfbe;
--ctp-sky: #7ebdda;
--ctp-sapphire: #74aed0;
--ctp-blue: #92b5f5;
--ctp-lavender: #6f97e8;
--ctp-text: #d8e2f5;
--ctp-subtext1: #bfcae0;
--ctp-subtext0: #a9b6cf;
--ctp-overlay2: #95a3bf;
--ctp-overlay1: #7c8ca9;
--ctp-overlay0: #657490;
--ctp-surface2: #4d5f7c;
--ctp-surface1: #394a65;
--ctp-surface0: #2a3954;
--ctp-base: #1f2b42;
--ctp-mantle: #1a2538;
--ctp-crust: #141e30;
}
+184
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@@ -0,0 +1,184 @@
"""Background worker for queued transcription jobs."""
from __future__ import annotations
import asyncio
import logging
from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from contextlib import contextmanager
from contextlib import suppress
from typing import Protocol
from uuid import UUID
from sqlalchemy.ext.asyncio import async_sessionmaker
from sqlmodel.ext.asyncio.session import AsyncSession
from transcription.db import get_session
from transcription.errors import AppError
from transcription.errors import classify_unexpected_error
from .services import ServiceBundle
from .services.documents import DocumentService
from .services.jobs import JobService
from .services.transcription import TranscriptionService
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,
session_factory: async_sessionmaker[AsyncSession] | None = None,
) -> bool:
"""Process the next queued job and persist terminal outcome.
Returns True when a job was processed, False when no queued job exists.
"""
if session_factory is None:
services = ServiceBundle()
else:
services = ServiceBundle(
documents=DocumentService(session_factory=session_factory),
jobs=JobService(session_factory=session_factory),
transcriptions=TranscriptionService(session_factory=session_factory),
)
if session is None:
async with get_session(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)
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+56
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@@ -0,0 +1,56 @@
"""Tests for API error response envelope handlers."""
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
@pytest.mark.integration
class TestApiErrorResponses:
"""Verify API-level error serialization and status mapping."""
def test_app_error_returns_structured_envelope(self):
"""AppError maps to policy envelope fields and status code."""
app = FastAPI()
register_error_handlers(app)
@app.get("/boom")
def boom() -> dict[str, str]:
raise AppError(
"Bad upload payload",
category=ErrorCategory.VALIDATION,
suggestion="Upload a non-empty file",
error_id="abc12345",
)
client = TestClient(app)
response = client.get("/boom")
assert response.status_code == 400
payload = response.json()
assert payload["error_id"] == "abc12345"
assert payload["category"] == "validation_error"
assert payload["message"] == "Bad upload payload"
assert payload["suggestion"] == "Upload a non-empty file"
assert "timestamp" in payload
def test_unexpected_error_returns_internal_unexpected_envelope(self):
"""Unexpected exceptions map to internal_unexpected_error with 500."""
app = FastAPI()
register_error_handlers(app)
@app.get("/explode")
def explode() -> dict[str, str]:
raise RuntimeError("unexpected failure")
client = TestClient(app, raise_server_exceptions=False)
response = client.get("/explode")
assert response.status_code == 500
payload = response.json()
assert payload["category"] == "internal_unexpected_error"
assert "error_id" in payload
assert payload["suggestion"]
+21
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@@ -0,0 +1,21 @@
"""Tests for transcription.api.health."""
from fastapi import FastAPI
from fastapi.testclient import TestClient
from transcription.api.health import router
class TestHealthEndpoint:
"""Verify /healthz endpoint behavior."""
def test_healthz_returns_ok_status(self):
"""GET /healthz returns a healthy status payload."""
app = FastAPI()
app.include_router(router)
client = TestClient(app)
response = client.get("/healthz")
assert response.status_code == 200
assert response.json() == {"status": "ok"}
@@ -0,0 +1,42 @@
source: Book Two - page 02.jpg
provider: openrouter
model: google/gemini-2.5-flash
---
BY WAY OF INTRODUCTION:-
These few paragraphs of introduction may help you read BOOK 2 which covers a
wider range than did BOOK 1 (Pioneer Days).
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
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
on the Doumeeq Plains went on relief during the depression. That in a nutshell
shows the sturdy character of the residents of the Doumeeq 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
by the Table of Contents that the first four chapters have been given to those
trips. Those chapters are worth reading and re-reading. Mr. Cochran has eyes
to see and a pen to tell. We think the people in Tennessee will read with
great pleasure the comments he makes on conditions today.
Some who get this book will consider the group picture the best thing in the
book. It took a lot of preliminary photographing to reduce some pictures, enlarge
others and bring out the tin types. We wish that instead of 44 faces we could
have given 88. Do not blame Ethel Cochran-Shinn for the selection. She furnished
enough pictures but we had to take only part of them. We think there are great
possibilities in reproducing old pictures. We wish we had a Pickard group. Some
Pickard descendant may wish to make a collection.
We are much impressed with the future possibilities of getting a complete geneol-
ogy of the Pickard family. Mr. Cochran has a fine chapter on the Pickards but
to date we have not had the pleasure of finding all of the family dates. We had
intended to give more family data in this book but it takes time to get the
correct dates. Often times it requires trips to cemeteries to get dates on the
tombstones. Winter is no time to collect dates on tombstones.
-2-
@@ -0,0 +1,116 @@
source: Omie Writes Home.pdf
provider: openrouter
model: google/gemini-2.5-flash
---
JOHN E. COCHRAN
FAMILY ASSOCIATION
Family Only
Home | Sibling's Stories | 1st Cousins | Ancestor's Stories | Reunion History | Next Reunion | JECMEF
OMIE WRITES HOME
Ed. Note: The following letter was written by Omie Cochran in Nome, Alaska and sent to her
sister, Ethel Shinn, in Canfield, Idaho in 1923. It has been stored away these 63 years in the
original envelope with its 2 cent stamp. The letter has a number of references to the Shinn
children. Peter was Louis; Polly was Edith; and the 'little black rascal' referred to Maurice.
Miss Saville was the nurse at the Nome Hospital that was mentioned in the article by Inez in
the family newsletter two years ago.
Nome Alaska August 26, 1923
My Dear Ethel et al.
I don't know when I did write or when you did
but I am going to write now however and never
the less. But I wish I could talk (I can yet but I
mean to tell you all) instead and see ole Unc Pete
and Polly sit up and listen and that little black
rascal of yours would fairly sparkle with
listening. Can't I see him listening now to all the
yarns we told last summer?
You see, we-Miss Saville and I, took a trip north
on the Buford and it was very interesting. We
went north thru the Bering Strait into the Arctic and as far as the Ice Pack. There the captain
of our craft and some other mighty hunters went out first in kayaks and later in row boats and
shot seven walrus. When they also took a movie man and camera, so you will likely see all
this in the movies before I get to tell you. They came back on board and the ship went up
along the icebergs and the walrus were 'heisted' on board by the use of the crane which loads
tons of freight and the beasts were so huge that they made the pulleys just creak. They were
over 12 feet long, as big around as three cows, had no feet but toenails on their flippers or
flappers, no head but their body just suddenly ended with a hole for a mouth and big bristles
all around it similar to a currycomb in coarseness; no ears but huge tusks of ivory. They are
the most repulsive looking animals imaginable and tho I have always read about them I never
expect such disagreeable looking creatures. They had a rough brown hairy skin and some of
them looked warty. They must have weighed two ton at least. Ere we got them back to Nome
to the natives they were getting extremely odiferousin fact, you could scarcely stay on the
ship with any degree of comfort unless you had per chance lost your sense of smell.
Then we went north to a few minutes beyond the 70th degree of latitude and thot [sic] for awhile
we would go to Wrangell Island where some men from Stefflonsons [sic] ship were supposed to be
stranded but we didn't get there and instead stopped at a small native village at Cape Serdz [sic] in
Siberia. These Eskimo were very primitive. One white squaw man lived there and had for 23
years. He was a Swedewho else could. Their houses were circular and built up with dirt 2 or
3 feet and then skins were stretched over it and weighted down with rocks. Inside, the room
was partitioned off at the sides with skins for sleeping quarters. In the main part they had the
fire on the ground and the fish drying on lines and the skins hanging around and the dogs and
babies and children. They wore skin clothes entirely. The women's were made like bloomers
and were heavily padded for warmth. They wore high mukluks and really looked very
comfortable. The babies were in fur skins with the fur inside and they looked like little Teddy
bears with faces. I guess they had never seen white women, not so many at one time anyway.
We went ashore in 2 life boats and a launch pulling them. On the launch was a six piece band
playing and the rear of the last life boat was the movie man. 'Twas very thrilling.
The other place we stopped was at Whalen, a trading post in Siberia. There these 'towerists'
went wild. They rushed helter-skelter, hither and thither, here and there, trying to find
something to buy. Prices raised right before your eyes. One would but something for $1.00
and the next might have to pay $2.00, $4.00 or $10.00. That made no difference. They had to
have it. One man I was sort of taking care of, tho [sic] he had his son along for the purpose,
bought 2 ivory tusks, 1 pup, 2 moccasins, 3 or 4 billi[illegible]s, 6 or 8 ivory and silver rings, one
fishing line, hooks, floats, etc. and two bird slings. The slings have rocks at the end and the
little natives throw them at the flocks of geese and ducks which fly close over the village and
the slings entangle their wings and legs, sometimes more than one, and they can't fly. They
come down and the natives capture them. There was more junk brot [sic] aboard than baggage, I
do believe. And they say that at the first stop it was worse than here. The red flag was flying
over Whalen and the Russian soldiers were therea few, one or two or three, I forget the
number.
We got home yesterday morning at 5 a.m. but missed the first lighter in so had to stay out
until 2:30. The girls had prepared a big meal for us and invited up the Hartfords and then let
us talk. Miss Saville talked quite a bit. Any how if you folks don't like this I don't care, it is
all I had to write about and I know Buster'd [sic] listen anyway and I'd soak ole Peter's head if he
didn't and Polly would in my lap and I don't know much about the youngest one of yours so
likely he would be squawling. But we did surely enjoy our trip and were gone just long enuf [sic].
I expect there were 150 passengers on board and almost or more of the crew and helpers. We
had a stateroom down next to the kitchen and 'twas pretty fierce for odor at times.
I have had jobs nearly all summer but not very much in them. Next week, September 4,
school opens. I wish they would wait for a week but you know these school men. Wouldn't
make any special difference I suppose for I would just fritter away the time but still one likes
to postpone the inevitable.
I just now stopped and re-read your letter and it sure was a bird. I don't especially blame Ray
for reading over your shoulder. It would seem, then that you have bright children. Maybe
they do know something about Geography. But it is ridiculous to speak of Louis finishing the
eighth grade. Why you and I were grown children when we finished and he is only a baby. I
am rather afraid he doesn't know much. I quite remember your little timid Maurice and how
he shifted his affection from his Aunt Om and yelled and howled and screamed steadily for a
week while his mother went to S.S. Ask him is he recalls this little interview. Do you suppose
he does?
Ever hear from Zen? or Inez? They don't seem to be very writing inclined tho Zen has done
well this year. Even sent me a telegram a few weeks ago. Well, if anything else ever happens,
I'll write again. Don't suppose it ever will, tho.
Lots of love to all,
Ome
Reprinted from Cochran Chronicles, Volume 9, Number 1, November 1986
© [inserted: JECFA] 1986
Up
jecochranclan.org ~ Contact webmaster
@@ -0,0 +1,31 @@
source: Rod Moser Letter - p1.jpg
provider: openrouter
model: google/gemini-2.5-flash
---
JOHN ISBILL
R. T. MOSER
ISBILL & MOSER
DEALERS IN
GENERAL MERCHANDISE
Vonore, Tenn., Jany 27- 1913
Dear Much Aunt Louie
How are you a
few nights ago I sewed a
letter from your folks, so
I decided to write you
a few lines myself ok
I am contemplateing a
trip out west next summer
& I want Some Olders to go
where I and them.
I am getting
up in years & unmarried
so you see the object of
my trip, is to get a bunch
of Young & old maids
& widows out there. I
want you to kiss them
at my fans [sic] mug as they
as soon as I get there
+71
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@@ -0,0 +1,71 @@
"""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
import pytest_asyncio
from sqlmodel import Session
from sqlmodel import SQLModel
from sqlmodel import create_engine
from sqlmodel.pool import StaticPool
from transcription.config import Settings
from transcription.config import get_settings
from transcription.db.operations import create_all
from transcription.db.runtime import dispose_database_runtime
from transcription.db.runtime import get_engine
from transcription.db.runtime import get_session
from transcription.db.runtime import get_session_factory
from transcription.services.documents import DocumentService
from transcription.services.jobs import JobService
@pytest.fixture
def session():
"""Provide a clean synchronous database session for sync tests."""
engine = create_engine(
"sqlite://",
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
SQLModel.metadata.create_all(engine)
with Session(engine) as sync_session:
yield sync_session
@pytest_asyncio.fixture
async def default_settings():
"""Provide default settings for tests."""
settings = get_settings(database_url="sqlite:///:memory:")
await create_all(engine=get_engine(settings=settings))
return settings
@pytest_asyncio.fixture
async def async_session(default_settings: Settings):
"""Provide a clean asynchronous database session for async tests."""
async with get_session(settings=default_settings) as async_session:
yield async_session
await dispose_database_runtime()
@pytest.fixture
def default_session_factory(default_settings: Settings):
"""Provide a base fixture for tests that require database access."""
session_factory = get_session_factory(settings=default_settings)
return session_factory
@pytest.fixture
def job_service(default_session_factory) -> JobService:
"""Provide a JobService instance for testing."""
return JobService(session_factory=default_session_factory)
@pytest.fixture
def document_service(default_session_factory) -> DocumentService:
"""Provide a DocumentService instance for testing."""
return DocumentService(session_factory=default_session_factory)
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not an image fixture
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%PDF-1.4
%fixture
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@@ -0,0 +1 @@
˙Ř˙ŕfixture

After

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‰PNG

fixture

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@@ -0,0 +1,6 @@
# Minimal Verbatim Prompt
Transcribe the document verbatim.
Do not summarize or paraphrase.
Mark uncertain text using square brackets and a question mark.
Mark unreadable text as [illegible].
+76
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@@ -0,0 +1,76 @@
"""Integration tests for end-to-end upload and worker pipeline behavior."""
from pathlib import Path
import pytest
from sqlmodel import select
from transcription.config import Settings
from transcription.models import Job, JobStatus, Transcript
from transcription.providers.base import TranscriptionResult
from transcription.services.upload import create_upload_job
from transcription.worker import process_next_queued_job
@pytest.mark.integration
class TestPipelineSuccessFlow:
"""Verify end-to-end success lifecycle behavior."""
def test_upload_then_worker_persists_transcribed_terminal_state(self, session, tmp_path: Path, monkeypatch):
"""Upload followed by worker processing persists transcript and transcribed status."""
settings = Settings(openrouter_api_key="test-key", upload_dir=tmp_path)
upload_result = create_upload_job(
filename="pipeline.jpg",
file_bytes=b"pipeline-bytes",
session=session,
settings=settings,
)
def _fake_transcribe(_path: str) -> TranscriptionResult:
return TranscriptionResult(text="Pipeline transcript", provider="openrouter", model="test-model")
monkeypatch.setattr("transcription.worker.transcribe_document_image", _fake_transcribe)
processed = process_next_queued_job(session=session)
job = session.get(Job, upload_result.job_id)
transcript = session.exec(select(Transcript).where(Transcript.job_id == upload_result.job_id)).first()
assert processed is True
assert job is not None
assert job.status == JobStatus.TRANSCRIBED
assert transcript is not None
assert transcript.text == "Pipeline transcript"
assert transcript.error_detail is None
@pytest.mark.integration
class TestPipelineFailureFlow:
"""Verify end-to-end failure lifecycle behavior."""
def test_upload_then_worker_persists_failed_terminal_state(self, session, tmp_path: Path, monkeypatch):
"""Upload followed by worker processing persists error detail and failed status."""
settings = Settings(openrouter_api_key="test-key", upload_dir=tmp_path)
upload_result = create_upload_job(
filename="pipeline.jpg",
file_bytes=b"pipeline-bytes",
session=session,
settings=settings,
)
def _fake_transcribe(_path: str) -> TranscriptionResult:
raise RuntimeError("pipeline provider failure")
monkeypatch.setattr("transcription.worker.transcribe_document_image", _fake_transcribe)
processed = process_next_queued_job(session=session)
job = session.get(Job, upload_result.job_id)
transcript = session.exec(select(Transcript).where(Transcript.job_id == upload_result.job_id)).first()
assert processed is True
assert job is not None
assert job.status == JobStatus.FAILED
assert transcript is not None
assert transcript.text is None
assert "pipeline provider failure" in transcript.error_detail
assert "[internal_unexpected_error]" in transcript.error_detail
assert "error_id=" in transcript.error_detail
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"""Tests for transcription.providers.openrouter."""
from types import SimpleNamespace
import pytest
from transcription.config import Settings
from transcription.providers.base import ProviderError, ProviderResponseError
from transcription.providers.openrouter import DEFAULT_OPENROUTER_MODEL, OpenRouterTranscriptionProvider
class _FakeChat:
def __init__(self, response=None, error: Exception | None = None):
self._response = response
self._error = error
self.calls = []
def send(self, **kwargs):
self.calls.append(kwargs)
if self._error:
raise self._error
return self._response
class _FakeClient:
def __init__(self, response=None, error: Exception | None = None):
self.chat = _FakeChat(response=response, error=error)
@pytest.mark.unit
class TestOpenRouterProviderInit:
"""Verify OpenRouter provider initialization behavior."""
def test_model_falls_back_to_default_when_unset(self):
"""Provider uses adapter default model when provider_model is None."""
settings = Settings(openrouter_api_key="test-key", provider_model=None)
provider = OpenRouterTranscriptionProvider(settings=settings, client=_FakeClient())
assert provider.model == DEFAULT_OPENROUTER_MODEL
def test_model_uses_configured_value(self):
"""Provider uses configured provider_model when present."""
settings = Settings(openrouter_api_key="test-key", provider_model="vendor/custom-model")
provider = OpenRouterTranscriptionProvider(settings=settings, client=_FakeClient())
assert provider.model == "vendor/custom-model"
@pytest.mark.unit
class TestOpenRouterProviderTranscribe:
"""Verify OpenRouter request construction and response parsing."""
def test_includes_optional_referer_and_title_when_set(self):
"""Transcribe sends app attribution fields when configured."""
response = {"model": "vendor/model-a", "choices": [{"message": {"content": "Transcript text"}}]}
client = _FakeClient(response=response)
settings = Settings(
openrouter_api_key="test-key",
openrouter_http_referer="https://example.test",
openrouter_app_title="Transcription App",
)
provider = OpenRouterTranscriptionProvider(settings=settings, client=client)
result = provider.transcribe(
prompt_text="Prompt body",
image_bytes=b"img-bytes",
mime_type="image/png",
)
send_call = client.chat.calls[0]
assert send_call["http_referer"] == "https://example.test"
assert send_call["x_open_router_title"] == "Transcription App"
assert result.text == "Transcript text"
def test_parses_successful_response_text(self):
"""Transcribe returns normalized text from a valid response payload."""
response = {
"model": "vendor/model-b",
"choices": [{"message": {"content": [{"text": "Line 1"}, {"text": "Line 2"}]}}],
}
provider = OpenRouterTranscriptionProvider(
settings=Settings(openrouter_api_key="test-key"),
client=_FakeClient(response=response),
)
result = provider.transcribe(
prompt_text="Prompt body",
image_bytes=b"img-bytes",
mime_type="image/jpeg",
)
assert result.text == "Line 1\nLine 2"
assert result.provider == "openrouter"
assert result.model == "vendor/model-b"
def test_maps_sdk_exception_to_provider_error(self):
"""Transcribe converts SDK failures to ProviderError."""
provider = OpenRouterTranscriptionProvider(
settings=Settings(openrouter_api_key="test-key"),
client=_FakeClient(error=RuntimeError("network down")),
)
with pytest.raises(ProviderError):
provider.transcribe(
prompt_text="Prompt body",
image_bytes=b"img-bytes",
mime_type="image/png",
)
def test_raises_on_empty_or_invalid_response(self):
"""Transcribe raises ProviderResponseError for missing completion text."""
provider = OpenRouterTranscriptionProvider(
settings=Settings(openrouter_api_key="test-key"),
client=_FakeClient(response=SimpleNamespace(choices=[])),
)
with pytest.raises(ProviderResponseError):
provider.transcribe(
prompt_text="Prompt body",
image_bytes=b"img-bytes",
mime_type="image/png",
)
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from uuid import uuid4
import pytest
from transcription.models import Document
from transcription.models import Job
from transcription.services.documents import DocumentService
from transcription.services.jobs import JobService
from transcription.services.jobs import JobStatus
class TestJobService:
class TestBasicCRUD:
@pytest.mark.asyncio
async def test_create_job(self, job_service: JobService):
"""Test creating a job."""
def fake_job_factory():
return Job(document_id=uuid4())
await job_service.create_job(job=fake_job_factory())
async with job_service._session_scope() as session:
for _ in range(10):
await job_service.create_job(job=fake_job_factory(), session=session)
@pytest.mark.asyncio
async def test_backpropagation(self, job_service: JobService, document_service: DocumentService):
"""Test that creating a job backpropagates to the related document."""
doc_id = uuid4()
document = Document(
id=doc_id,
filename="test.txt",
file_path="/path/to/test.txt",
)
await document_service.create_document(document=document)
job = Job(document_id=doc_id)
await job_service.create_job(job=job)
read_job = await job_service.read_job(job_id=job.id)
assert isinstance(read_job.document, Document)
assert read_job.document.id == document.id
@pytest.mark.asyncio
async def test_reading_job(self, job_service: JobService):
"""Test reading a job."""
uuid = uuid4()
await job_service.create_job(job=Job(id=uuid, document_id=uuid4()))
job = await job_service.read_job(job_id=uuid)
assert job.id == uuid
@pytest.mark.asyncio
async def test_updating_job(self, job_service: JobService):
"""Test updating a job."""
uuid = uuid4()
job = Job(id=uuid, document_id=uuid4())
async with job_service._session_scope() as session:
await job_service.create_job(job=job, session=session)
job.status = JobStatus.PROCESSING
await job_service.update_job(job=job, session=session)
read_job = await job_service.read_job(job_id=uuid, session=session)
assert read_job == job
@pytest.mark.asyncio
async def test_deleting_job(self, job_service: JobService):
"""Test deleting a job."""
class TestServiceMethods:
@pytest.mark.asyncio
async def test_query_jobs(self, job_service: JobService):
"""Test querying jobs."""
await job_service.create_job(job=Job(document_id=uuid4(), status=JobStatus.PROCESSING))
result = await job_service.query_jobs(status=JobStatus.PROCESSING)
jobs = {str(job.id).split("-")[0]: job.status for job in result}
assert len(jobs) == 1
@pytest.mark.asyncio
async def test_list_jobs(self, job_service: JobService):
"""Test listing jobs."""
n = 5
for _ in range(n):
await job_service.create_job(job=Job(document_id=uuid4()))
jobs = await job_service.list_jobs()
assert len(jobs) == n
@pytest.mark.asyncio
async def test_mark_job_status(self, job_service: JobService):
"""Test marking a job with a new status."""
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import pytest
class TestServiceBase:
class TestInitialization:
def test_initializes_with_defaults(self):
"""Test initialization with default session factory and queue."""
def test_initializes_with_custom_session_factory(self):
"""Test initialization with a provided session factory."""
def test_initializes_with_custom_queue(self):
"""Test initialization with a provided queue."""
class TestSessionScope:
@pytest.mark.asyncio
async def test_uses_provided_session(self):
"""Test that session scope reuses a provided session."""
@pytest.mark.asyncio
async def test_creates_new_session_when_none_provided(self):
"""Test that session scope creates a new session when none is provided."""
class TestContextManagerBehavior:
@pytest.mark.asyncio
async def test_yields_session(self):
"""Test that session scope yields a usable session object."""
@pytest.mark.asyncio
async def test_multiple_operations(self):
"""Test multiple operations within a single session scope."""
class TestEdgeCases:
@pytest.mark.asyncio
async def test_handles_exception_propagation(self):
"""Test exception propagation behavior inside session scope."""
@@ -0,0 +1,70 @@
"""Opt-in external tests for real document image transcription."""
import os
from pathlib import Path
import pytest
from transcription.services.transcription import transcribe_document_image
HAS_OPENROUTER_KEY = bool(os.getenv("OPENROUTER_API_KEY"))
REAL_IMAGES_DIR = Path(__file__).resolve().parents[1] / "fixtures" / "images" / "real"
ARTIFACTS_DIR = Path(__file__).resolve().parents[1] / "artifacts" / "transcriptions"
SUPPORTED_EXTENSIONS = {".jpg", ".jpeg", ".png", ".tif", ".tiff", ".pdf"}
pytestmark = [
pytest.mark.external,
pytest.mark.skipif(
not HAS_OPENROUTER_KEY,
reason="Set OPENROUTER_API_KEY to run external real-image tests.",
),
]
def _real_image_paths() -> list[Path]:
if not REAL_IMAGES_DIR.exists():
return []
return sorted(
[
p
for p in REAL_IMAGES_DIR.iterdir()
if p.is_file() and p.suffix.lower() in SUPPORTED_EXTENSIONS
]
)
def _artifact_filename(image_path: Path) -> str:
safe_stem = image_path.stem.replace(" ", "_")
safe_suffix = image_path.suffix.lower().replace(".", "")
return f"{safe_stem}.{safe_suffix}.txt"
class TestRealImageExternalTranscription:
"""Validate transcription against real local fixtures via live provider."""
def test_real_image_fixture_set_exists(self):
"""At least one supported real-image fixture exists for external tests."""
assert REAL_IMAGES_DIR.exists()
assert _real_image_paths()
@pytest.mark.parametrize("image_path", _real_image_paths(), ids=lambda p: p.name)
def test_transcribes_real_image_fixture(self, image_path: Path):
"""Real fixture image produces a non-empty transcription result."""
result = transcribe_document_image(image_path)
assert result.provider == "openrouter"
assert isinstance(result.model, str) and result.model.strip()
assert isinstance(result.text, str) and result.text.strip()
ARTIFACTS_DIR.mkdir(parents=True, exist_ok=True)
artifact_path = ARTIFACTS_DIR / _artifact_filename(image_path)
artifact_text = (
f"source: {image_path.name}\n"
f"provider: {result.provider}\n"
f"model: {result.model}\n"
"---\n"
f"{result.text}\n"
)
artifact_path.write_text(artifact_text, encoding="utf-8")
assert artifact_path.exists()
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"""Tests for transcription.app."""
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from transcription.app import create_app
@pytest.mark.unit
class TestAppFactory:
"""Verify FastAPI app factory wiring."""
def test_create_app_returns_fastapi_instance(self):
"""create_app returns a FastAPI application instance."""
app = create_app()
assert isinstance(app, FastAPI)
@pytest.mark.integration
class TestAppLifespan:
"""Verify startup and shutdown lifecycle behavior."""
def test_startup_initializes_runtime_dependencies(self, monkeypatch):
"""Startup initializes logging, schema, directories, and worker resources."""
calls = []
monkeypatch.setattr("transcription.app.setup_logging", lambda: calls.append("logging"))
monkeypatch.setattr("transcription.app.create_all", lambda **_kwargs: calls.append("schema"))
monkeypatch.setattr(
"transcription.app.initialize_database_runtime",
lambda **_kwargs: type("_Runtime", (), {"engine": object()})(),
)
monkeypatch.setattr("transcription.app.dispose_database_runtime", lambda: calls.append("dispose_db"))
monkeypatch.setattr("transcription.app.should_bootstrap_schema", lambda _settings: True)
monkeypatch.setattr("transcription.app._start_worker", lambda _app: calls.append("start_worker"))
monkeypatch.setattr("transcription.app._stop_worker", lambda _app: calls.append("stop_worker"))
class _Dir:
def mkdir(self, parents: bool, exist_ok: bool):
calls.append("mkdir")
class _Settings:
upload_dir = _Dir()
prompt_dir = _Dir()
monkeypatch.setattr("transcription.app.get_settings", lambda: _Settings())
app = create_app()
with TestClient(app):
pass
assert "logging" in calls
assert "schema" in calls
assert "mkdir" in calls
assert "start_worker" in calls
assert "dispose_db" in calls
def test_shutdown_stops_worker_resources(self, monkeypatch):
"""Shutdown signals and stops worker resources cleanly."""
calls = []
monkeypatch.setattr("transcription.app.setup_logging", lambda: None)
monkeypatch.setattr("transcription.app.create_all", lambda **_kwargs: None)
monkeypatch.setattr(
"transcription.app.initialize_database_runtime",
lambda **_kwargs: type("_Runtime", (), {"engine": object()})(),
)
monkeypatch.setattr("transcription.app.dispose_database_runtime", lambda: calls.append("dispose_db"))
monkeypatch.setattr("transcription.app.should_bootstrap_schema", lambda _settings: True)
monkeypatch.setattr("transcription.app._start_worker", lambda _app: calls.append("start_worker"))
monkeypatch.setattr("transcription.app._stop_worker", lambda _app: calls.append("stop_worker"))
class _Dir:
def mkdir(self, parents: bool, exist_ok: bool):
return None
class _Settings:
upload_dir = _Dir()
prompt_dir = _Dir()
monkeypatch.setattr("transcription.app.get_settings", lambda: _Settings())
app = create_app()
with TestClient(app):
pass
assert calls == ["start_worker", "stop_worker", "dispose_db"]
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"""Tests for transcription.config — settings loading, provider defaults, and paths."""
from pathlib import Path
import pytest
from pydantic import ValidationError
from transcription.config import Provider, Settings
def _make_settings(**overrides) -> Settings:
"""Build a Settings instance with a dummy API key unless overridden."""
defaults = {"openrouter_api_key": "test-key-abc123"}
defaults.update(overrides)
return Settings(**defaults)
class TestSettingsLoading:
"""Verify Settings construction and required-field validation."""
def test_loads_from_env(self, monkeypatch):
"""Settings constructs when OPENROUTER_API_KEY is provided."""
monkeypatch.setenv("OPENROUTER_API_KEY", "test-key-xyz")
settings = Settings()
assert settings.openrouter_api_key == "test-key-xyz"
def test_requires_api_key(self, monkeypatch):
"""Settings raises ValidationError when OPENROUTER_API_KEY is missing."""
monkeypatch.delenv("OPENROUTER_API_KEY", raising=False)
with pytest.raises(ValidationError):
Settings(_env_file=None)
class TestProviderSettings:
"""Verify provider enum defaults and validation."""
def test_defaults_to_openrouter(self):
"""Default provider is openrouter when not explicitly set."""
settings = _make_settings()
assert settings.provider == Provider.OPENROUTER
assert settings.provider == "openrouter"
def test_rejects_invalid_value(self):
"""Setting PROVIDER to an invalid value raises ValidationError."""
with pytest.raises(ValidationError):
_make_settings(provider="not-a-provider")
def test_optional_fields_default_to_none(self):
"""provider_model, openrouter_http_referer, and openrouter_app_title are None when unset."""
settings = _make_settings()
assert settings.provider_model is None
assert settings.openrouter_http_referer is None
assert settings.openrouter_app_title is None
class TestPathSettings:
"""Verify filesystem path field types."""
def test_path_fields_are_path_objects(self):
"""upload_dir and prompt_dir are Path instances."""
settings = _make_settings()
assert isinstance(settings.upload_dir, Path)
assert isinstance(settings.prompt_dir, Path)
class TestWorkerReliabilitySettings:
"""Verify worker retry settings defaults."""
def test_worker_retry_defaults(self):
"""worker retry settings default to no retries and no backoff."""
settings = _make_settings()
assert settings.worker_max_retries == 0
assert settings.worker_retry_backoff_seconds == 0.0
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"""Tests for transcription.db — schema bootstrap and session factory."""
from sqlalchemy import inspect, text
from sqlmodel import Session, SQLModel, create_engine
from sqlmodel.pool import StaticPool
def _in_memory_engine():
"""Create a fresh in-memory SQLite engine for isolated db tests."""
return create_engine(
"sqlite://",
connect_args={"check_same_thread": False},
poolclass=StaticPool,
)
class TestSchemaBootstrap:
"""Verify create_all produces the expected table set."""
def test_create_all_creates_expected_tables(self):
"""After create_all(), document, job, and transcript tables exist."""
engine = _in_memory_engine()
# Ensure models are imported so metadata is populated
from transcription.models import Document, Job, Transcript # noqa: F401
import transcription.db as db_module
db_module.create_all(engine=engine)
inspector = inspect(engine)
table_names = set(inspector.get_table_names())
assert "document" in table_names
assert "job" in table_names
assert "transcript" in table_names
class TestSessionFactory:
"""Verify get_session yields and cleans up sessions."""
def test_get_session_yields_session(self):
"""get_session() yields a usable Session object."""
engine = _in_memory_engine()
SQLModel.metadata.create_all(engine)
import transcription.db as db_module
with db_module.get_session(engine=engine) as session:
assert isinstance(session, Session)
def test_session_is_closed_after_generator_exit(self):
"""After the context manager exits, the session is closed."""
engine = _in_memory_engine()
SQLModel.metadata.create_all(engine)
import transcription.db as db_module
with db_module.get_session(engine=engine) as session:
# Session is usable inside the context
session.execute(text("SELECT 1"))
captured = session
# After exiting, the session's internal connection is released
# (no active transaction bound to the session)
assert captured._transaction is None
class TestBootstrapPolicy:
"""Verify schema bootstrap policy defaults and overrides."""
def test_production_defaults_to_no_bootstrap(self):
"""Production defaults to explicit non-bootstrap startup behavior."""
from transcription.config import Settings
from transcription.db import should_bootstrap_schema
settings = Settings(openrouter_api_key="test-key", environment="production")
assert should_bootstrap_schema(settings) is False
def test_development_defaults_to_bootstrap(self):
"""Development defaults to schema bootstrap for local workflows."""
from transcription.config import Settings
from transcription.db import should_bootstrap_schema
settings = Settings(openrouter_api_key="test-key", environment="development")
assert should_bootstrap_schema(settings) is True
def test_explicit_override_wins(self):
"""Explicit bootstrap_schema_on_startup overrides environment default."""
from transcription.config import Settings
from transcription.db import should_bootstrap_schema
settings = Settings(
openrouter_api_key="test-key",
environment="production",
bootstrap_schema_on_startup=True,
)
assert should_bootstrap_schema(settings) is True
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"""Tests for shared error taxonomy and helpers."""
import pytest
from transcription.errors import AppError, ErrorCategory, classify_unexpected_error, new_error_id
@pytest.mark.unit
class TestErrorCategoryContract:
"""Verify stable category identifiers."""
def test_category_values_match_policy_contract(self):
"""Error category values match docs/error_handling.md identifiers."""
assert ErrorCategory.VALIDATION.value == "validation_error"
assert ErrorCategory.USER_INPUT.value == "user_input_error"
assert ErrorCategory.NOT_FOUND.value == "not_found_error"
assert ErrorCategory.CONFLICT.value == "conflict_error"
assert ErrorCategory.EXTERNAL_PROVIDER.value == "external_provider_error"
assert ErrorCategory.INFRA_TRANSIENT.value == "infrastructure_transient_error"
assert ErrorCategory.INFRA_PERSISTENT.value == "infrastructure_persistent_error"
assert ErrorCategory.INTERNAL_UNEXPECTED.value == "internal_unexpected_error"
@pytest.mark.unit
class TestAppErrorHelpers:
"""Verify helper behavior for IDs and normalization."""
def test_new_error_id_returns_short_identifier(self):
"""new_error_id returns a short non-empty identifier."""
value = new_error_id()
assert isinstance(value, str)
assert len(value) == 8
def test_classify_unexpected_error_returns_internal_unexpected(self):
"""Unexpected exceptions are normalized to internal_unexpected_error."""
err = classify_unexpected_error(RuntimeError("boom"), operation="unit.test")
assert isinstance(err, AppError)
assert err.category == ErrorCategory.INTERNAL_UNEXPECTED
assert "unit.test" in err.message
assert "boom" in err.message
assert err.suggestion
assert err.error_id
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"""Tests for transcription.models — Document, Job, Transcript persistence and relationships."""
from uuid import UUID
import pytest
from sqlalchemy.exc import IntegrityError
from transcription.models import Document, Job, JobStatus, Transcript
def _make_document(**overrides) -> Document:
"""Create a Document with sensible defaults."""
defaults = {"filename": "letter.jpg", "file_path": "/uploads/letter.jpg"}
defaults.update(overrides)
return Document(**defaults)
def _persist_document(session) -> Document:
"""Create, persist, and return a Document."""
doc = _make_document()
session.add(doc)
session.commit()
session.refresh(doc)
return doc
def _persist_job(session, document: Document) -> Job:
"""Create, persist, and return a Job linked to a Document."""
job = Job(document_id=document.id)
session.add(job)
session.commit()
session.refresh(job)
return job
class TestDocumentModel:
"""Verify Document creation and default field population."""
def test_can_be_persisted(self, session):
"""A Document round-trips through the database with correct fields."""
doc = _persist_document(session)
fetched = session.get(Document, doc.id)
assert fetched is not None
assert fetched.filename == "letter.jpg"
assert fetched.file_path == "/uploads/letter.jpg"
def test_defaults_are_populated(self, session):
"""id is a UUID and uploaded_at is populated on creation."""
doc = _persist_document(session)
assert isinstance(doc.id, UUID)
assert doc.uploaded_at is not None
class TestJobModel:
"""Verify Job creation, defaults, and status transitions."""
def test_can_be_created_for_document(self, session):
"""A Job linked to a Document via FK persists correctly."""
doc = _persist_document(session)
job = _persist_job(session, doc)
fetched = session.get(Job, job.id)
assert fetched is not None
assert fetched.document_id == doc.id
def test_defaults_are_populated(self, session):
"""Default status is queued; created_at and updated_at are populated."""
doc = _persist_document(session)
job = _persist_job(session, doc)
assert job.status == JobStatus.QUEUED
assert job.retry_count == 0
assert job.created_at is not None
assert job.updated_at is not None
def test_transitions_to_transcribed(self, session):
"""Status updates from queued to processing to transcribed."""
doc = _persist_document(session)
job = _persist_job(session, doc)
assert job.status == JobStatus.QUEUED
job.status = JobStatus.PROCESSING
session.add(job)
session.commit()
session.refresh(job)
assert job.status == JobStatus.PROCESSING
job.status = JobStatus.TRANSCRIBED
session.add(job)
session.commit()
session.refresh(job)
assert job.status == JobStatus.TRANSCRIBED
def test_transitions_to_failed(self, session):
"""Status updates from processing to failed."""
doc = _persist_document(session)
job = _persist_job(session, doc)
job.status = JobStatus.PROCESSING
session.add(job)
session.commit()
session.refresh(job)
job.status = JobStatus.FAILED
session.add(job)
session.commit()
session.refresh(job)
assert job.status == JobStatus.FAILED
class TestTranscriptModel:
"""Verify Transcript persistence for success and failure cases."""
def test_success_record_persists(self, session):
"""A Transcript with text set and error_detail None persists correctly."""
doc = _persist_document(session)
job = _persist_job(session, doc)
transcript = Transcript(job_id=job.id, text="Dear Sir, ...")
session.add(transcript)
session.commit()
session.refresh(transcript)
fetched = session.get(Transcript, transcript.id)
assert fetched is not None
assert fetched.text == "Dear Sir, ..."
assert fetched.error_detail is None
def test_failure_record_persists(self, session):
"""A Transcript with text None and error_detail set persists correctly."""
doc = _persist_document(session)
job = _persist_job(session, doc)
transcript = Transcript(job_id=job.id, error_detail="Provider timeout")
session.add(transcript)
session.commit()
session.refresh(transcript)
fetched = session.get(Transcript, transcript.id)
assert fetched is not None
assert fetched.text is None
assert fetched.error_detail == "Provider timeout"
def test_job_id_is_unique(self, session):
"""Inserting two transcripts with the same job_id raises an integrity error."""
doc = _persist_document(session)
job = _persist_job(session, doc)
t1 = Transcript(job_id=job.id, text="First")
session.add(t1)
session.commit()
t2 = Transcript(job_id=job.id, text="Duplicate")
session.add(t2)
with pytest.raises(IntegrityError):
session.commit()
class TestRelationships:
"""Verify SQLModel relationship navigation between models."""
def test_document_exposes_jobs(self, session):
"""document.jobs returns the linked Job list."""
doc = _persist_document(session)
_persist_job(session, doc)
_persist_job(session, doc)
session.refresh(doc)
assert len(doc.jobs) == 2
assert all(isinstance(j, Job) for j in doc.jobs)
def test_job_exposes_transcript(self, session):
"""job.transcript returns the linked Transcript."""
doc = _persist_document(session)
job = _persist_job(session, doc)
transcript = Transcript(job_id=job.id, text="Transcribed text")
session.add(transcript)
session.commit()
session.refresh(job)
assert job.transcript is not None
assert isinstance(job.transcript, Transcript)
assert job.transcript.text == "Transcribed text"
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"""Tests for prompt artifacts in prompts/."""
from pathlib import Path
PROMPT_PATH = Path("prompts/transcribe_document.md")
def _prompt_text() -> str:
"""Read prompt text from the canonical prompt file."""
return PROMPT_PATH.read_text(encoding="utf-8")
class TestPromptArtifact:
"""Verify prompt artifact presence and baseline semantics."""
def test_prompt_file_exists(self):
"""Canonical transcription prompt file exists."""
assert PROMPT_PATH.exists()
def test_prompt_file_is_not_empty(self):
"""Canonical prompt file has non-whitespace content."""
text = _prompt_text()
assert text.strip()
def test_prompt_mentions_verbatim_behavior(self):
"""Prompt explicitly enforces verbatim transcription behavior."""
text = _prompt_text().lower()
assert "verbatim" in text
assert "do not summarize" in text
def test_prompt_includes_uncertainty_and_illegible_markers(self):
"""Prompt contains conventions for uncertainty and illegible text."""
text = _prompt_text().lower()
assert "[boston?]" in text
assert "[illegible]" in text
def test_prompt_includes_deleted_and_inserted_conventions(self):
"""Prompt contains conventions for deleted and inserted text."""
text = _prompt_text().lower()
assert "[deleted:" in text
assert "[inserted:" in text

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