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V3 step 1 update models.py and step 2 implement service/worker, and raw API response persistence

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This commit is contained in:
Jim Lancaster
2026-08-08 18:08:04 -05:00
parent 5a741de0a9
commit 4dac9349c1
22 changed files with 373 additions and 51 deletions
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src/transcription/config.py
+3
View File
@@ -69,6 +69,9 @@ class Settings(BaseSettings):
provider_model: str | None = None
openrouter_http_referer: str | None = None
openrouter_app_title: str | None = None
default_prompt_name: str = "transcribe_document.md"
transcription_temperature: float | None = None
transcription_top_p: float | None = None
# --- runtime environment ---
environment: Literal["development", "test", "production"] = "development"
src/transcription/db/models.py
+10 -2
View File
@@ -1,4 +1,4 @@
"""SQLModel domain models for the V2 transcription system."""
"""SQLModel domain models for the V3 transcription system."""
from datetime import UTC
from datetime import date
@@ -10,6 +10,7 @@ from uuid import UUID
from uuid import uuid4
from sqlalchemy import Column
from sqlalchemy import BigInteger
from sqlalchemy import JSON
from sqlalchemy import UniqueConstraint
from sqlalchemy.dialects.postgresql import JSONB
@@ -125,7 +126,6 @@ class Job(SQLModel, table=True):
date_updated: datetime = Field(default_factory=lambda: datetime.now(UTC))
provider: str | None = None
model: str | None = None
prompt_name: str | None = None
document: Optional["Document"] = Relationship(back_populates="jobs", sa_relationship_kwargs={"lazy": "selectin"})
job_sources: list["JobSource"] = Relationship(back_populates="job", sa_relationship_kwargs={"lazy": "selectin"})
@@ -173,6 +173,8 @@ class Source(SQLModel, table=True):
upload_name: str
filename: str
file_path: str
file_hash: str
file_size_bytes: int = Field(sa_column=Column(BigInteger(), nullable=False))
raw_transcription: str | None = None
revised_text: str | None = None
date_uploaded: datetime = Field(default_factory=lambda: datetime.now(UTC))
@@ -221,6 +223,12 @@ class JobSource(SQLModel, table=True):
source_id: UUID = Field(foreign_key="source.id")
status: JobSourceStatus = Field(default=JobSourceStatus.PENDING)
raw_transcription: str | None = None
prompt_name: str | None = None
prompt_hash: str | None = None
system_prompt: str | None = None
user_prompt: str | None = None
temperature: float | None = None
top_p: float | None = None
ai_metadata: dict[str, Any] | None = Field(default=None, sa_column=Column(JSONBCompat(), nullable=True))
raw_api_response: dict[str, Any] | None = Field(default=None, sa_column=Column(JSONBCompat(), nullable=True))
error_detail: str | None = None
src/transcription/providers/base.py
+14 -1
View File
@@ -25,6 +25,11 @@ class TranscriptionResult:
provider: str
prompt_name: str
model: str
prompt_hash: str | None = None
system_prompt: str | None = None
user_prompt: str | None = None
temperature: float | None = None
top_p: float | None = None
finish_reason: str | None = None
usage_input_tokens: int | None = None
usage_output_tokens: int | None = None
@@ -36,6 +41,14 @@ class TranscriptionResult:
class TranscriptionProvider(Protocol):
"""Contract every transcription provider adapter must satisfy."""
async def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
async def transcribe(
self,
*,
prompt_text: str,
image_bytes: bytes,
mime_type: str,
temperature: float | None = None,
top_p: float | None = None,
) -> TranscriptionResult:
"""Transcribe the provided image according to the prompt text."""
...
src/transcription/providers/openrouter.py
+36 -3
View File
@@ -31,6 +31,8 @@ class OpenRouterRequest:
messages: list[dict[str, Any]]
http_referer: str | None
x_open_router_title: str | None
temperature: float | None
top_p: float | None
class OpenRouterTranscriptionProvider:
@@ -46,15 +48,31 @@ class OpenRouterTranscriptionProvider:
"""Return the resolved OpenRouter model slug."""
return self._model
async def transcribe(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> TranscriptionResult:
async def transcribe(
self,
*,
prompt_text: str,
image_bytes: bytes,
mime_type: str,
temperature: float | None = None,
top_p: float | None = None,
) -> 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)
request = self._build_request(
prompt_text=prompt_text,
image_bytes=image_bytes,
mime_type=mime_type,
temperature=temperature,
top_p=top_p,
)
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,
temperature=request.temperature,
top_p=request.top_p,
)
except Exception as exc:
message = str(exc).lower()
@@ -78,6 +96,11 @@ class OpenRouterTranscriptionProvider:
text=text,
provider="openrouter",
prompt_name="",
prompt_hash=None,
system_prompt=None,
user_prompt=prompt_text,
temperature=temperature,
top_p=top_p,
model=model,
finish_reason=finish_reason,
usage_input_tokens=usage_input_tokens,
@@ -148,7 +171,15 @@ class OpenRouterTranscriptionProvider:
return repr(value)
def _build_request(self, *, prompt_text: str, image_bytes: bytes, mime_type: str) -> OpenRouterRequest:
def _build_request(
self,
*,
prompt_text: str,
image_bytes: bytes,
mime_type: str,
temperature: float | None,
top_p: float | None,
) -> OpenRouterRequest:
image_b64 = base64.b64encode(image_bytes).decode("ascii")
data_url = f"data:{mime_type};base64,{image_b64}"
@@ -167,6 +198,8 @@ class OpenRouterTranscriptionProvider:
messages=messages,
http_referer=self._settings.openrouter_http_referer,
x_open_router_title=self._settings.openrouter_app_title,
temperature=temperature,
top_p=top_p,
)
def _extract_text(self, response: Any) -> str:
src/transcription/services/store.py
+22 -4
View File
@@ -2,6 +2,7 @@ from __future__ import annotations
from collections.abc import Sequence
from dataclasses import dataclass
import hashlib
import logging
from pathlib import Path
from uuid import UUID
@@ -48,6 +49,8 @@ class PendingStoredUpload:
source_id: UUID
original_filename: str
stored_path: Path
file_hash: str
file_size_bytes: int
async def create_upload_job(
@@ -68,6 +71,7 @@ async def create_upload_job(
relative_directory=Path("documents") / str(document_id),
filename_stem=str(source_id),
)
file_hash, file_size_bytes = _compute_file_metadata(file_bytes)
try:
document, job = await _create_upload_records(
session=session,
@@ -75,6 +79,8 @@ async def create_upload_job(
source_id=source_id,
original_filename=filename,
stored_path=stored_path,
file_hash=file_hash,
file_size_bytes=file_size_bytes,
)
except Exception as exc:
_best_effort_delete(stored_path)
@@ -101,7 +107,6 @@ async def create_job_for_document(
session: AsyncSession,
provider: str | None = None,
model: str | None = None,
prompt_name: str | None = None,
settings: Settings | None = None,
) -> JobCreateResult:
"""Create a queued job for an existing document with one or more uploaded sources."""
@@ -128,6 +133,8 @@ async def create_job_for_document(
relative_directory=Path("documents") / str(document_id),
filename_stem=str(source_id),
),
file_hash=_compute_file_hash(file_bytes),
file_size_bytes=len(file_bytes),
)
)
@@ -138,7 +145,6 @@ async def create_job_for_document(
stored_uploads=stored_uploads,
provider=provider,
model=model,
prompt_name=prompt_name,
)
except Exception as exc:
for upload in stored_uploads:
@@ -165,6 +171,8 @@ async def _create_upload_records(
source_id: UUID,
original_filename: str,
stored_path: Path,
file_hash: str,
file_size_bytes: int,
) -> tuple[Document, Job]:
document = Document(
id=document_id,
@@ -184,6 +192,8 @@ async def _create_upload_records(
upload_name=Path(original_filename).name,
filename=stored_path.name,
file_path=str(stored_path),
file_hash=file_hash,
file_size_bytes=file_size_bytes,
)
session.add(source)
await session.flush()
@@ -209,7 +219,6 @@ async def _create_job_for_document_records(
stored_uploads: Sequence[PendingStoredUpload],
provider: str | None,
model: str | None,
prompt_name: str | None,
) -> tuple[Job, list[UUID]]:
document = await session.get(Document, document_id)
if document is None:
@@ -228,7 +237,6 @@ async def _create_job_for_document_records(
document_id=document_id,
provider=(provider or None),
model=(model or None),
prompt_name=(prompt_name or None),
)
session.add(job)
await session.flush()
@@ -242,6 +250,8 @@ async def _create_job_for_document_records(
upload_name=Path(upload.original_filename).name,
filename=upload.stored_path.name,
file_path=str(upload.stored_path),
file_hash=upload.file_hash,
file_size_bytes=upload.file_size_bytes,
)
session.add(source)
await session.flush()
@@ -268,6 +278,14 @@ def _best_effort_delete(path: Path) -> None:
logger.warning("Failed to clean up upload file after DB error: %s", path)
def _compute_file_hash(file_bytes: bytes) -> str:
return hashlib.sha256(file_bytes).hexdigest()
def _compute_file_metadata(file_bytes: bytes) -> tuple[str, int]:
return _compute_file_hash(file_bytes), len(file_bytes)
def store_file(
*,
filename: str,
src/transcription/services/transcription.py
+85 -7
View File
@@ -2,6 +2,8 @@
from __future__ import annotations
from dataclasses import dataclass
import hashlib
import logging
import mimetypes
from collections.abc import Sequence
@@ -39,6 +41,18 @@ DEFAULT_PROMPT_FILE = "transcribe_document.md"
SUPPORTED_EXTENSIONS = {".jpg", ".jpeg", ".png", ".tif", ".tiff", ".pdf"}
@dataclass(frozen=True)
class PromptExecution:
"""Resolved prompt inputs captured for one page execution."""
prompt_name: str
prompt_hash: str
system_prompt: str | None
user_prompt: str
temperature: float | None
top_p: float | None
class PromptLoadError(AppError):
"""Raised when prompt artifacts cannot be loaded safely."""
@@ -354,6 +368,11 @@ class TranscriptionService(ServiceBase):
provider=result.provider,
model=result.model,
prompt_name=result.prompt_name,
prompt_hash=result.prompt_hash,
system_prompt=result.system_prompt,
user_prompt=result.user_prompt,
temperature=result.temperature,
top_p=result.top_p,
session=session,
)
@@ -366,6 +385,11 @@ class TranscriptionService(ServiceBase):
provider: str | None = None,
model: str | None = None,
prompt_name: str = DEFAULT_PROMPT_FILE,
prompt_hash: str | None = None,
system_prompt: str | None = None,
user_prompt: str | None = None,
temperature: float | None = None,
top_p: float | None = None,
session: AsyncSession | None = None,
) -> Job:
"""Persist transcription output for the first ordered source in a job's document.
@@ -384,7 +408,6 @@ class TranscriptionService(ServiceBase):
job.provider = provider or job.provider or self.settings.provider.value
job.model = model or job.model or _resolve_transcript_model(provider=self.provider, settings=self.settings)
job.prompt_name = prompt_name or job.prompt_name or DEFAULT_PROMPT_FILE
job.date_updated = datetime.now(UTC)
source = await _session.exec(
@@ -402,6 +425,11 @@ class TranscriptionService(ServiceBase):
provider=provider,
model=model,
prompt_name=prompt_name,
prompt_hash=prompt_hash,
system_prompt=system_prompt,
user_prompt=user_prompt,
temperature=temperature,
top_p=top_p,
session=_session,
)
@@ -420,6 +448,11 @@ class TranscriptionService(ServiceBase):
provider: str | None = None,
model: str | None = None,
prompt_name: str = DEFAULT_PROMPT_FILE,
prompt_hash: str | None = None,
system_prompt: str | None = None,
user_prompt: str | None = None,
temperature: float | None = None,
top_p: float | None = None,
session: AsyncSession | None = None,
) -> JobSource:
"""Persist transcription fields for one source within a specific job."""
@@ -449,10 +482,10 @@ class TranscriptionService(ServiceBase):
job.provider = provider or job.provider or self.settings.provider.value
job.model = model or job.model or _resolve_transcript_model(provider=self.provider, settings=self.settings)
job.prompt_name = prompt_name or job.prompt_name or DEFAULT_PROMPT_FILE
job.date_updated = datetime.now(UTC)
source.raw_transcription = text
if text is not None:
source.raw_transcription = text
existing_job_source = await _session.exec(
select(JobSource).where(JobSource.job_id == job_id).where(JobSource.source_id == source_id)
@@ -464,6 +497,12 @@ class TranscriptionService(ServiceBase):
source_id=source_id,
status=JobSourceStatus.TRANSCRIBED if text is not None else JobSourceStatus.FAILED,
raw_transcription=text,
prompt_name=prompt_name,
prompt_hash=prompt_hash,
system_prompt=system_prompt,
user_prompt=user_prompt,
temperature=temperature,
top_p=top_p,
ai_metadata=ai_metadata,
raw_api_response=raw_api_response,
error_detail=error_detail,
@@ -471,6 +510,12 @@ class TranscriptionService(ServiceBase):
_session.add(job_source)
else:
job_source.raw_transcription = text
job_source.prompt_name = prompt_name
job_source.prompt_hash = prompt_hash
job_source.system_prompt = system_prompt
job_source.user_prompt = user_prompt
job_source.temperature = temperature
job_source.top_p = top_p
job_source.ai_metadata = ai_metadata
job_source.raw_api_response = raw_api_response
job_source.error_detail = error_detail
@@ -545,13 +590,13 @@ def _resolve_transcript_model(*, provider: TranscriptionProvider, settings: Sett
async def transcribe_document_image(
image_path: str | Path,
*,
prompt_name: str = DEFAULT_PROMPT_FILE,
prompt_name: str | None = None,
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)
prompt_execution = build_prompt_execution(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)
@@ -559,12 +604,45 @@ async def transcribe_document_image(
with handle_transcription_errors():
result = await adapter.transcribe(
prompt_text=prompt_text,
prompt_text=prompt_execution.user_prompt,
image_bytes=image_bytes,
mime_type=mime_type,
temperature=prompt_execution.temperature,
top_p=prompt_execution.top_p,
)
logger.info("Transcription completed for image=%s provider=%s", image_path, result.provider)
return result
return TranscriptionResult(
text=result.text,
provider=result.provider,
prompt_name=prompt_execution.prompt_name,
prompt_hash=prompt_execution.prompt_hash,
system_prompt=prompt_execution.system_prompt,
user_prompt=result.user_prompt or prompt_execution.user_prompt,
temperature=result.temperature if result.temperature is not None else prompt_execution.temperature,
top_p=result.top_p if result.top_p is not None else prompt_execution.top_p,
model=result.model,
finish_reason=result.finish_reason,
usage_input_tokens=result.usage_input_tokens,
usage_output_tokens=result.usage_output_tokens,
usage_total_tokens=result.usage_total_tokens,
ai_metadata=result.ai_metadata,
raw_api_response=result.raw_api_response,
)
def build_prompt_execution(*, prompt_name: str | None = None, settings: Settings | None = None) -> PromptExecution:
"""Resolve the exact prompt payload and provenance for one execution."""
runtime_settings = settings or get_settings()
effective_prompt_name = (prompt_name or runtime_settings.default_prompt_name or DEFAULT_PROMPT_FILE).strip()
user_prompt = load_prompt_text(prompt_name=effective_prompt_name, settings=runtime_settings)
return PromptExecution(
prompt_name=effective_prompt_name,
prompt_hash=hashlib.sha256(user_prompt.encode("utf-8")).hexdigest(),
system_prompt=None,
user_prompt=user_prompt,
temperature=runtime_settings.transcription_temperature,
top_p=runtime_settings.transcription_top_p,
)
def load_prompt_text(*, prompt_name: str = DEFAULT_PROMPT_FILE, settings: Settings | None = None) -> str:
src/transcription/services/workflows.py
+73 -14
View File
@@ -16,6 +16,7 @@ from ..errors import format_error_detail
from ..providers import TranscriptionResult
from . import ServiceBundle
from .transcription import DEFAULT_PROMPT_FILE
from .transcription import build_prompt_execution
from .transcription import transcribe_document_image
logger = logging.getLogger(__name__)
@@ -84,11 +85,13 @@ async def process_queued_job(
if not sources:
return await services.jobs.mark_job_status(job.id, JobStatus.TRANSCRIBED, session=session)
successful_pages: list[tuple[Source, TranscriptionResult]] = []
failed_pages: list[tuple[Source, AppError]] = []
successful_pages: list[tuple[Source, TranscriptionResult, str, str | None, str, float | None, float | None]] = []
failed_pages: list[tuple[Source, AppError, str, str, str | None, str, float | None, float | None]] = []
externally_stopped = False
for source in sources:
prompt_execution = build_prompt_execution(settings=runtime_settings)
if await _job_no_longer_processing(job_id=job.id, services=services, session=session):
externally_stopped = True
break
@@ -96,7 +99,11 @@ async def process_queued_job(
started_at = asyncio.get_running_loop().time()
try:
result = await asyncio.wait_for(
transcribe_document_image(source.file_path),
transcribe_document_image(
source.file_path,
settings=runtime_settings,
provider=services.transcriptions.provider,
),
timeout=runtime_settings.worker_provider_timeout_seconds,
)
elapsed_seconds = asyncio.get_running_loop().time() - started_at
@@ -120,7 +127,17 @@ async def process_queued_job(
)
_validate_transcription_quality(result=result, settings=runtime_settings)
successful_pages.append((source, result))
successful_pages.append(
(
source,
result,
prompt_execution.prompt_hash,
prompt_execution.system_prompt,
prompt_execution.user_prompt,
prompt_execution.temperature,
prompt_execution.top_p,
)
)
except TimeoutError:
error = AppError(
f"Provider call timed out after {runtime_settings.worker_provider_timeout_seconds:.1f}s",
@@ -128,7 +145,18 @@ async def process_queued_job(
suggestion="Retry the job. If this repeats, verify provider latency and request payload size.",
retriable=True,
)
failed_pages.append((source, error))
failed_pages.append(
(
source,
error,
prompt_execution.prompt_name,
prompt_execution.prompt_hash,
prompt_execution.system_prompt,
prompt_execution.user_prompt,
prompt_execution.temperature,
prompt_execution.top_p,
)
)
logger.error(
"Source failed operation=worker.process_job job_id=%s document_id=%s source_id=%s error_id=%s category=%s",
job.id,
@@ -144,7 +172,18 @@ async def process_queued_job(
case _:
error = classify_unexpected_error(exc, operation="worker.process_job")
failed_pages.append((source, error))
failed_pages.append(
(
source,
error,
prompt_execution.prompt_name,
prompt_execution.prompt_hash,
prompt_execution.system_prompt,
prompt_execution.user_prompt,
prompt_execution.temperature,
prompt_execution.top_p,
)
)
logger.error(
"Source failed operation=worker.process_job job_id=%s document_id=%s source_id=%s error_id=%s category=%s",
job.id,
@@ -368,15 +407,15 @@ async def _finalize_batch_outcome(
*,
job: Job,
services: ServiceBundle,
successful_pages: list[tuple[Source, TranscriptionResult]],
failed_pages: list[tuple[Source, AppError]],
successful_pages: list[tuple[Source, TranscriptionResult, str, str | None, str, float | None, float | None]],
failed_pages: list[tuple[Source, AppError, str, str, str | None, str, float | None, float | None]],
status: JobStatus,
session: AsyncSession | None = None,
) -> Job:
"""Transaction B: write per-source outcomes and terminal job status atomically."""
if session is None:
async with services.jobs._session_scope() as local_session:
for source, result in successful_pages:
for source, result, prompt_hash, system_prompt, user_prompt, temperature, top_p in successful_pages:
await services.transcriptions.update_job_source_transcription(
job_id=job.id,
source_id=source.id,
@@ -387,16 +426,26 @@ async def _finalize_batch_outcome(
provider=result.provider,
model=result.model,
prompt_name=result.prompt_name,
prompt_hash=result.prompt_hash or prompt_hash,
system_prompt=result.system_prompt if result.system_prompt is not None else system_prompt,
user_prompt=result.user_prompt if result.user_prompt is not None else user_prompt,
temperature=result.temperature if result.temperature is not None else temperature,
top_p=result.top_p if result.top_p is not None else top_p,
session=local_session,
)
for source, error in failed_pages:
for source, error, prompt_name, prompt_hash, system_prompt, user_prompt, temperature, top_p in failed_pages:
await services.transcriptions.update_job_source_transcription(
job_id=job.id,
source_id=source.id,
text=None,
error_detail=format_error_detail(error),
prompt_name=DEFAULT_PROMPT_FILE,
prompt_name=prompt_name,
prompt_hash=prompt_hash,
system_prompt=system_prompt,
user_prompt=user_prompt,
temperature=temperature,
top_p=top_p,
session=local_session,
)
@@ -404,7 +453,7 @@ async def _finalize_batch_outcome(
await local_session.commit()
return updated_job
for source, result in successful_pages:
for source, result, prompt_hash, system_prompt, user_prompt, temperature, top_p in successful_pages:
await services.transcriptions.update_job_source_transcription(
job_id=job.id,
source_id=source.id,
@@ -415,16 +464,26 @@ async def _finalize_batch_outcome(
provider=result.provider,
model=result.model,
prompt_name=result.prompt_name,
prompt_hash=result.prompt_hash or prompt_hash,
system_prompt=result.system_prompt if result.system_prompt is not None else system_prompt,
user_prompt=result.user_prompt if result.user_prompt is not None else user_prompt,
temperature=result.temperature if result.temperature is not None else temperature,
top_p=result.top_p if result.top_p is not None else top_p,
session=session,
)
for source, error in failed_pages:
for source, error, prompt_name, prompt_hash, system_prompt, user_prompt, temperature, top_p in failed_pages:
await services.transcriptions.update_job_source_transcription(
job_id=job.id,
source_id=source.id,
text=None,
error_detail=format_error_detail(error),
prompt_name=DEFAULT_PROMPT_FILE,
prompt_name=prompt_name,
prompt_hash=prompt_hash,
system_prompt=system_prompt,
user_prompt=user_prompt,
temperature=temperature,
top_p=top_p,
session=session,
)
src/transcription/ui/components/transcript.py
+8 -1
View File
@@ -29,7 +29,7 @@ def render_original_transcription_card(*, job: Job, classes: str = "w-full") ->
with card, ui.column().classes("w-full q-gutter-y-sm"):
ui.label(header).classes("text-subtitle1 text-weight-medium")
ui.label(caption).classes("text-caption vibe-text-muted")
_metadata_row(label="Prompt", value=job.prompt_name or "unknown")
_metadata_row(label="Prompt", value=_latest_job_prompt(job) or "unknown")
_metadata_row(label="Updated", value=_format_created_at(job.date_updated))
latest_transcription = _latest_job_transcription(job)
@@ -114,6 +114,13 @@ def _latest_job_error_detail(job: Job) -> str | None:
return None
def _latest_job_prompt(job: Job) -> str | None:
for job_source in sorted(job.job_sources, key=lambda item: item.executed_at, reverse=True):
if job_source.prompt_name:
return job_source.prompt_name
return None
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")
src/transcription/ui/pages/jobs_page.py
+11 -5
View File
@@ -91,10 +91,9 @@ def register_page() -> None: # noqa: PLR0915
if requested_document_id in document_options:
document_select.value = requested_document_id
with ui.row().classes("w-full gap-3 grid grid-cols-1 md:grid-cols-3"):
with ui.row().classes("w-full gap-3 grid grid-cols-1 md:grid-cols-2"):
provider_input = ui.input(label="Provider").props("outlined").classes("ui-form-surface")
model_input = ui.input(label="Model").props("outlined").classes("ui-form-surface")
prompt_input = ui.input(label="Prompt").props("outlined").classes("ui-form-surface")
_render_upload_section(uploaded_files)
@@ -119,7 +118,6 @@ def register_page() -> None: # noqa: PLR0915
uploads=uploaded_files,
provider=(provider_input.value or None),
model=(model_input.value or None),
prompt_name=(prompt_input.value or None),
session=session,
)
except Exception as exc: # noqa: BLE001
@@ -421,7 +419,7 @@ def _render_job_logistics(job: Job) -> None:
with archival_card(title="Execution Logistics"):
metadata_row("Provider:", job.provider or "pending")
metadata_row("Model:", job.model or "pending")
metadata_row("Prompt:", job.prompt_name or "pending")
metadata_row("Prompt:", _latest_prompt_name(job) or "pending")
metadata_row("Retry Count:", str(job.retry_count))
metadata_row("Last Updated:", job.date_updated.isoformat())
@@ -448,4 +446,12 @@ def _parse_uuid(value: str | None) -> UUID | None:
try:
return UUID(value)
except ValueError:
return None
return None
def _latest_prompt_name(job: Job) -> str | None:
ordered = sorted(job.job_sources, key=lambda item: item.executed_at, reverse=True)
for job_source in ordered:
if job_source.prompt_name:
return job_source.prompt_name
return None
src/transcription/ui/pages/sources_page.py
+1 -1
View File
@@ -281,7 +281,7 @@ def _render_source_job_metadata_zone(latest_job_source: JobSource | None) -> Non
)
metadata_row(
"Prompt:",
latest_job_source.job.prompt_name if latest_job_source.job and latest_job_source.job.prompt_name else "unknown",
latest_job_source.prompt_name or "unknown",
)
if latest_job_source.error_detail: