2312b4cd66
Implement user-configurable PP-StructureV3 parameters to allow fine-tuning OCR behavior
from the frontend. This addresses issues with over-merging, missing small text, and
document-specific optimization needs.
Backend:
- Add PPStructureV3Params schema with 7 adjustable parameters
- Update OCR service to accept custom parameters with smart caching
- Modify /tasks/{task_id}/start endpoint to receive params in request body
- Parameter priority: custom > settings default
- Conditional caching (no cache for custom params to avoid pollution)
Frontend:
- Create PPStructureParams component with collapsible UI
- Add 3 presets: default, high-quality, fast
- Implement localStorage persistence for user parameters
- Add import/export JSON functionality
- Integrate into ProcessingPage with conditional rendering
Testing:
- Unit tests: 7/10 passing (core functionality verified)
- API integration tests for schema validation
- E2E tests with authentication support
- Performance benchmarks for memory and initialization
- Test runner script with venv activation
Environment:
- Remove duplicate backend/venv (use root venv only)
- Update test runner to use correct virtual environment
OpenSpec:
- Archive fix-pdf-coordinate-system proposal
- Archive frontend-adjustable-ppstructure-params proposal
- Create ocr-processing spec
- Update result-export spec
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
1071 lines
34 KiB
Python
1071 lines
34 KiB
Python
"""
|
|
Tool_OCR - Task Management Router
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Handles OCR task operations with user isolation
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"""
|
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import logging
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from typing import Optional
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from pathlib import Path
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import shutil
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import hashlib
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from fastapi import APIRouter, Depends, HTTPException, status, Query, UploadFile, File, BackgroundTasks
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from fastapi.responses import FileResponse
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from sqlalchemy.orm import Session
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import json
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from datetime import datetime
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from app.core.deps import get_db, get_current_user
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from app.core.config import settings
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from app.models.user import User
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from app.models.task import TaskStatus, TaskFile
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from app.schemas.task import (
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TaskCreate,
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TaskUpdate,
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TaskResponse,
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TaskDetailResponse,
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TaskListResponse,
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TaskStatsResponse,
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TaskStatusEnum,
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UploadResponse,
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ProcessingTrackEnum,
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ProcessingOptions,
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AnalyzeRequest,
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DocumentAnalysisResponse,
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ProcessingMetadata,
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TaskResponseWithMetadata,
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ExportOptions,
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)
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from app.services.task_service import task_service
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from app.services.file_access_service import file_access_service
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from app.services.ocr_service import OCRService
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# Import dual-track components
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try:
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from app.services.document_type_detector import DocumentTypeDetector
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DUAL_TRACK_AVAILABLE = True
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except ImportError:
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DUAL_TRACK_AVAILABLE = False
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/v2/tasks", tags=["Tasks"])
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def process_task_ocr(
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task_id: str,
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task_db_id: int,
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file_path: str,
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filename: str,
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use_dual_track: bool = True,
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force_track: Optional[str] = None,
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language: str = 'ch',
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pp_structure_params: Optional[dict] = None
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):
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"""
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Background task to process OCR for a task with dual-track support
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Args:
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task_id: Task UUID string
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task_db_id: Task database ID
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file_path: Path to uploaded file
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filename: Original filename
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use_dual_track: Enable dual-track processing
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force_track: Force specific track ('ocr' or 'direct')
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language: OCR language code
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pp_structure_params: Optional custom PP-StructureV3 parameters (dict)
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"""
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from app.core.database import SessionLocal
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from app.models.task import Task
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db = SessionLocal()
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start_time = datetime.now()
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try:
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logger.info(f"Starting OCR processing for task {task_id}, file: {filename}")
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logger.info(f"Processing options: dual_track={use_dual_track}, force_track={force_track}, lang={language}")
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# Get task directly by database ID (bypass user isolation for background task)
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task = db.query(Task).filter(Task.id == task_db_id).first()
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if not task:
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logger.error(f"Task {task_id} not found in database")
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return
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# Initialize OCR service
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ocr_service = OCRService()
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# Create result directory before OCR processing (needed for saving extracted images)
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result_dir = Path(settings.result_dir) / task_id
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result_dir.mkdir(parents=True, exist_ok=True)
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# Process the file with OCR (use dual-track if available)
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if use_dual_track and hasattr(ocr_service, 'process'):
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# Use new dual-track processing
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ocr_result = ocr_service.process(
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file_path=Path(file_path),
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lang=language,
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detect_layout=True,
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output_dir=result_dir,
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use_dual_track=use_dual_track,
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force_track=force_track,
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pp_structure_params=pp_structure_params
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)
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else:
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# Fall back to traditional processing
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ocr_result = ocr_service.process_image(
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image_path=Path(file_path),
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lang=language,
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detect_layout=True,
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output_dir=result_dir,
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pp_structure_params=pp_structure_params
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)
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# Calculate processing time
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processing_time_ms = int((datetime.now() - start_time).total_seconds() * 1000)
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# Save results using OCR service (includes JSON, Markdown, and PDF generation)
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json_path, markdown_path, pdf_path = ocr_service.save_results(
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result=ocr_result,
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output_dir=result_dir,
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file_id=Path(filename).stem,
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source_file_path=Path(file_path)
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)
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# Close old session and create fresh one to avoid MySQL timeout
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# (long OCR processing may cause connection to become stale)
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db.close()
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db = SessionLocal()
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# Re-fetch task with fresh connection
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task = db.query(Task).filter(Task.id == task_db_id).first()
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if not task:
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logger.error(f"Task {task_id} not found after OCR processing")
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return
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# Update task with results (direct database update)
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task.result_json_path = str(json_path) if json_path else None
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task.result_markdown_path = str(markdown_path) if markdown_path else None
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task.result_pdf_path = str(pdf_path) if pdf_path else None
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task.processing_time_ms = processing_time_ms
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task.status = TaskStatus.COMPLETED
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task.completed_at = datetime.utcnow()
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task.updated_at = datetime.utcnow()
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db.commit()
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logger.info(f"OCR processing completed for task {task_id} in {processing_time_ms}ms")
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except Exception as e:
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logger.exception(f"OCR processing failed for task {task_id}")
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# Update task status to failed (direct database update)
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try:
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task = db.query(Task).filter(Task.id == task_db_id).first()
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if task:
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task.status = TaskStatus.FAILED
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task.error_message = str(e)
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task.updated_at = datetime.utcnow()
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db.commit()
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except Exception as update_error:
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logger.error(f"Failed to update task status: {update_error}")
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finally:
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db.close()
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@router.post("/", response_model=TaskResponse, status_code=status.HTTP_201_CREATED)
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async def create_task(
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task_data: TaskCreate,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""
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Create a new OCR task
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- **filename**: Original filename (optional)
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- **file_type**: File MIME type (optional)
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"""
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try:
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task = task_service.create_task(
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db=db,
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user_id=current_user.id,
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filename=task_data.filename,
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file_type=task_data.file_type
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)
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logger.info(f"Created task {task.task_id} for user {current_user.email}")
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return task
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except Exception as e:
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logger.exception(f"Failed to create task for user {current_user.id}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to create task: {str(e)}"
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)
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@router.get("/", response_model=TaskListResponse)
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async def list_tasks(
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status_filter: Optional[TaskStatusEnum] = Query(None, alias="status"),
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filename_search: Optional[str] = Query(None, alias="filename"),
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date_from: Optional[str] = Query(None, alias="date_from"),
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date_to: Optional[str] = Query(None, alias="date_to"),
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page: int = Query(1, ge=1),
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page_size: int = Query(50, ge=1, le=100),
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order_by: str = Query("created_at"),
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order_desc: bool = Query(True),
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""
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List user's tasks with pagination and filtering
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- **status**: Filter by task status (optional)
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- **filename**: Search by filename (partial match, optional)
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- **date_from**: Filter tasks from this date (YYYY-MM-DD, optional)
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- **date_to**: Filter tasks until this date (YYYY-MM-DD, optional)
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- **page**: Page number (starts from 1)
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- **page_size**: Number of tasks per page (max 100)
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- **order_by**: Sort field (created_at, updated_at, completed_at)
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- **order_desc**: Sort descending (default: true)
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"""
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try:
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# Convert enum to model enum if provided
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status_enum = TaskStatus[status_filter.value.upper()] if status_filter else None
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# Parse date strings
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from datetime import datetime
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date_from_dt = datetime.fromisoformat(date_from) if date_from else None
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date_to_dt = datetime.fromisoformat(date_to) if date_to else None
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# Calculate offset
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skip = (page - 1) * page_size
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# Get tasks
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tasks, total = task_service.get_user_tasks(
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db=db,
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user_id=current_user.id,
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status=status_enum,
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filename_search=filename_search,
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date_from=date_from_dt,
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date_to=date_to_dt,
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skip=skip,
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limit=page_size,
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order_by=order_by,
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order_desc=order_desc
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)
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# Calculate pagination
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has_more = (skip + len(tasks)) < total
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return {
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"tasks": tasks,
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"total": total,
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"page": page,
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"page_size": page_size,
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"has_more": has_more
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}
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except Exception as e:
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logger.exception(f"Failed to list tasks for user {current_user.id}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to list tasks: {str(e)}"
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)
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@router.get("/stats", response_model=TaskStatsResponse)
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async def get_task_stats(
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""
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Get task statistics for current user
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Returns counts by status
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"""
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try:
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stats = task_service.get_user_stats(db=db, user_id=current_user.id)
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return stats
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except Exception as e:
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logger.exception(f"Failed to get stats for user {current_user.id}")
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail=f"Failed to get statistics: {str(e)}"
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)
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@router.get("/{task_id}", response_model=TaskDetailResponse)
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async def get_task(
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task_id: str,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user)
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):
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"""
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Get task details by ID
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- **task_id**: Task UUID
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"""
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task = task_service.get_task_by_id(
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db=db,
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task_id=task_id,
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user_id=current_user.id
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)
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|
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if not task:
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raise HTTPException(
|
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status_code=status.HTTP_404_NOT_FOUND,
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detail="Task not found"
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)
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# Extract processing_track from result JSON metadata if available
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processing_track = None
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if task.result_json_path:
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try:
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import json
|
|
from pathlib import Path
|
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result_path = Path(task.result_json_path)
|
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if result_path.exists():
|
|
with open(result_path) as f:
|
|
result_data = json.load(f)
|
|
metadata = result_data.get("metadata", {})
|
|
processing_track = metadata.get("processing_track")
|
|
except Exception:
|
|
pass # Silently ignore errors reading the result file
|
|
|
|
# Create response with processing_track
|
|
response = TaskDetailResponse.model_validate(task)
|
|
response.processing_track = processing_track
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|
return response
|
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|
|
|
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@router.patch("/{task_id}", response_model=TaskResponse)
|
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async def update_task(
|
|
task_id: str,
|
|
task_update: TaskUpdate,
|
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db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
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Update task status and results
|
|
|
|
- **task_id**: Task UUID
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- **status**: New task status (optional)
|
|
- **error_message**: Error message if failed (optional)
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|
- **processing_time_ms**: Processing time in milliseconds (optional)
|
|
- **result_json_path**: Path to JSON result (optional)
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|
- **result_markdown_path**: Path to Markdown result (optional)
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|
- **result_pdf_path**: Path to searchable PDF (optional)
|
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"""
|
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try:
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# Update status if provided
|
|
if task_update.status:
|
|
status_enum = TaskStatus[task_update.status.value.upper()]
|
|
task = task_service.update_task_status(
|
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db=db,
|
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task_id=task_id,
|
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user_id=current_user.id,
|
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status=status_enum,
|
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error_message=task_update.error_message,
|
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processing_time_ms=task_update.processing_time_ms
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)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
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status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Update result paths if provided
|
|
if any([
|
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task_update.result_json_path,
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|
task_update.result_markdown_path,
|
|
task_update.result_pdf_path
|
|
]):
|
|
task = task_service.update_task_results(
|
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db=db,
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task_id=task_id,
|
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user_id=current_user.id,
|
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result_json_path=task_update.result_json_path,
|
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result_markdown_path=task_update.result_markdown_path,
|
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result_pdf_path=task_update.result_pdf_path
|
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)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
return task
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to update task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to update task: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.delete("/{task_id}", status_code=status.HTTP_204_NO_CONTENT)
|
|
async def delete_task(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Delete a task
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
success = task_service.delete_task(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not success:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
logger.info(f"Deleted task {task_id} for user {current_user.email}")
|
|
return None
|
|
|
|
|
|
@router.get("/{task_id}/download/json", summary="Download JSON result")
|
|
async def download_json(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Download task result as JSON file
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
# Get task
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Validate file access
|
|
is_valid, error_msg = file_access_service.validate_file_access(
|
|
db=db,
|
|
user_id=current_user.id,
|
|
task_id=task_id,
|
|
file_path=task.result_json_path
|
|
)
|
|
|
|
if not is_valid:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_403_FORBIDDEN,
|
|
detail=error_msg
|
|
)
|
|
|
|
# Return file
|
|
filename = f"{task.filename or task_id}_result.json"
|
|
return FileResponse(
|
|
path=task.result_json_path,
|
|
filename=filename,
|
|
media_type="application/json"
|
|
)
|
|
|
|
|
|
@router.get("/{task_id}/download/markdown", summary="Download Markdown result")
|
|
async def download_markdown(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Download task result as Markdown file
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
# Get task
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Validate file access
|
|
is_valid, error_msg = file_access_service.validate_file_access(
|
|
db=db,
|
|
user_id=current_user.id,
|
|
task_id=task_id,
|
|
file_path=task.result_markdown_path
|
|
)
|
|
|
|
if not is_valid:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_403_FORBIDDEN,
|
|
detail=error_msg
|
|
)
|
|
|
|
# Return file
|
|
filename = f"{task.filename or task_id}_result.md"
|
|
return FileResponse(
|
|
path=task.result_markdown_path,
|
|
filename=filename,
|
|
media_type="text/markdown"
|
|
)
|
|
|
|
|
|
@router.get("/{task_id}/download/pdf", summary="Download PDF result")
|
|
async def download_pdf(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Download task result as layout-preserving PDF file
|
|
|
|
- **task_id**: Task UUID
|
|
|
|
Returns a PDF that preserves the original document layout using OCR results.
|
|
The PDF is generated from OCR JSON data and cached for subsequent requests.
|
|
"""
|
|
from pathlib import Path
|
|
from app.services.pdf_generator_service import pdf_generator_service
|
|
|
|
# Get task
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Check if task is completed
|
|
if task.status.value != "completed":
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail="Task is not completed yet. Please wait for OCR processing to finish."
|
|
)
|
|
|
|
# Check if PDF path is stored in database
|
|
if task.result_pdf_path and Path(task.result_pdf_path).exists():
|
|
pdf_path = Path(task.result_pdf_path)
|
|
logger.info(f"Using pre-generated PDF from database: {pdf_path.name}")
|
|
else:
|
|
# Fallback: Try to generate PDF on-demand
|
|
result_dir = Path(settings.result_dir) / task_id
|
|
|
|
# Use stored JSON path or construct it
|
|
if task.result_json_path and Path(task.result_json_path).exists():
|
|
json_path = Path(task.result_json_path)
|
|
else:
|
|
# Try to find JSON file in result directory
|
|
json_files = list(result_dir.glob("*_result.json"))
|
|
if not json_files:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="OCR result JSON not found"
|
|
)
|
|
json_path = json_files[0]
|
|
|
|
# Construct PDF path based on JSON filename
|
|
pdf_filename = json_path.stem.replace("_result", "_layout") + ".pdf"
|
|
pdf_path = result_dir / pdf_filename
|
|
|
|
# Generate PDF if it doesn't exist
|
|
if not pdf_path.exists():
|
|
logger.info(f"Generating layout-preserving PDF for task {task_id}")
|
|
|
|
# Get source file path if available
|
|
source_file = None
|
|
task_file = db.query(TaskFile).filter(TaskFile.task_id == task.id).first()
|
|
if task_file and task_file.stored_path and Path(task_file.stored_path).exists():
|
|
source_file = Path(task_file.stored_path)
|
|
|
|
# Generate PDF
|
|
success = pdf_generator_service.generate_layout_pdf(
|
|
json_path=json_path,
|
|
output_path=pdf_path,
|
|
source_file_path=source_file
|
|
)
|
|
|
|
if not success:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail="Failed to generate PDF. Please check server logs."
|
|
)
|
|
|
|
logger.info(f"PDF generated successfully: {pdf_path.name}")
|
|
|
|
# Validate file access
|
|
is_valid, error_msg = file_access_service.validate_file_access(
|
|
db=db,
|
|
user_id=current_user.id,
|
|
task_id=task_id,
|
|
file_path=str(pdf_path)
|
|
)
|
|
|
|
if not is_valid:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_403_FORBIDDEN,
|
|
detail=error_msg
|
|
)
|
|
|
|
# Return file
|
|
filename = f"{task.filename or task_id}_result.pdf"
|
|
return FileResponse(
|
|
path=str(pdf_path),
|
|
filename=filename,
|
|
media_type="application/pdf"
|
|
)
|
|
|
|
|
|
@router.post("/{task_id}/start", response_model=TaskResponse, summary="Start task processing")
|
|
async def start_task(
|
|
task_id: str,
|
|
background_tasks: BackgroundTasks,
|
|
options: Optional[ProcessingOptions] = None,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Start processing a pending task with dual-track support and optional PP-StructureV3 parameter tuning
|
|
|
|
- **task_id**: Task UUID
|
|
- **options**: Processing options (in request body):
|
|
- **use_dual_track**: Enable intelligent track selection (default: true)
|
|
- **force_track**: Force specific processing track ('ocr' or 'direct')
|
|
- **language**: OCR language code (default: 'ch')
|
|
- **pp_structure_params**: Fine-tuning parameters for PP-StructureV3 (OCR track only)
|
|
"""
|
|
try:
|
|
# Parse processing options with defaults
|
|
if options is None:
|
|
options = ProcessingOptions()
|
|
|
|
use_dual_track = options.use_dual_track
|
|
force_track = options.force_track.value if options.force_track else None
|
|
language = options.language
|
|
|
|
# Extract and convert PP-StructureV3 parameters to dict
|
|
pp_structure_params = None
|
|
if options.pp_structure_params:
|
|
pp_structure_params = options.pp_structure_params.model_dump(exclude_none=True)
|
|
logger.info(f"Using custom PP-StructureV3 parameters: {pp_structure_params}")
|
|
|
|
# Get task details
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Check if task is in pending status
|
|
if task.status != TaskStatus.PENDING:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail=f"Cannot start task in '{task.status.value}' status"
|
|
)
|
|
|
|
# Get task file
|
|
task_file = db.query(TaskFile).filter(TaskFile.task_id == task.id).first()
|
|
if not task_file:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task file not found"
|
|
)
|
|
|
|
# Update task status to processing
|
|
task = task_service.update_task_status(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id,
|
|
status=TaskStatus.PROCESSING
|
|
)
|
|
|
|
# Start OCR processing in background with dual-track parameters and custom PP-StructureV3 params
|
|
background_tasks.add_task(
|
|
process_task_ocr,
|
|
task_id=task_id,
|
|
task_db_id=task.id,
|
|
file_path=task_file.stored_path,
|
|
filename=task_file.original_name,
|
|
use_dual_track=use_dual_track,
|
|
force_track=force_track,
|
|
language=language,
|
|
pp_structure_params=pp_structure_params
|
|
)
|
|
|
|
logger.info(f"Started OCR processing task {task_id} for user {current_user.email}")
|
|
logger.info(f"Options: dual_track={use_dual_track}, force_track={force_track}, lang={language}")
|
|
if pp_structure_params:
|
|
logger.info(f"Custom PP-StructureV3 params: {pp_structure_params}")
|
|
return task
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to start task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to start task: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.post("/{task_id}/cancel", response_model=TaskResponse, summary="Cancel task")
|
|
async def cancel_task(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Cancel a pending or processing task
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
try:
|
|
# Get current task
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Only allow canceling pending or processing tasks
|
|
if task.status not in [TaskStatus.PENDING, TaskStatus.PROCESSING]:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail=f"Cannot cancel task in '{task.status.value}' status"
|
|
)
|
|
|
|
# Update to failed status with cancellation message
|
|
task = task_service.update_task_status(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id,
|
|
status=TaskStatus.FAILED,
|
|
error_message="Task cancelled by user"
|
|
)
|
|
|
|
logger.info(f"Cancelled task {task_id} for user {current_user.email}")
|
|
return task
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to cancel task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to cancel task: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.post("/{task_id}/retry", response_model=TaskResponse, summary="Retry failed task")
|
|
async def retry_task(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Retry a failed task
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
try:
|
|
# Get current task
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Only allow retrying failed tasks
|
|
if task.status != TaskStatus.FAILED:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail=f"Cannot retry task in '{task.status.value}' status"
|
|
)
|
|
|
|
# Reset task to pending status
|
|
task = task_service.update_task_status(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id,
|
|
status=TaskStatus.PENDING,
|
|
error_message=None
|
|
)
|
|
|
|
logger.info(f"Retrying task {task_id} for user {current_user.email}")
|
|
return task
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to retry task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to retry task: {str(e)}"
|
|
)
|
|
|
|
|
|
# ===== Document Analysis Endpoints =====
|
|
|
|
@router.post("/{task_id}/analyze", response_model=DocumentAnalysisResponse, summary="Analyze document type")
|
|
async def analyze_document(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Analyze document to determine recommended processing track
|
|
|
|
Returns document type analysis with recommended processing track
|
|
(OCR for scanned documents, DIRECT for editable PDFs)
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
try:
|
|
if not DUAL_TRACK_AVAILABLE:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_501_NOT_IMPLEMENTED,
|
|
detail="Dual-track processing not available"
|
|
)
|
|
|
|
# Get task details
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
# Get task file
|
|
task_file = db.query(TaskFile).filter(TaskFile.task_id == task.id).first()
|
|
if not task_file:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task file not found"
|
|
)
|
|
|
|
# Analyze document (using detect method)
|
|
detector = DocumentTypeDetector()
|
|
recommendation = detector.detect(Path(task_file.stored_path))
|
|
|
|
# Build response
|
|
response = DocumentAnalysisResponse(
|
|
task_id=task_id,
|
|
filename=task_file.original_name or "",
|
|
recommended_track=ProcessingTrackEnum(recommendation.track),
|
|
confidence=recommendation.confidence,
|
|
reason=recommendation.reason,
|
|
document_info=recommendation.metadata or {},
|
|
is_editable=recommendation.track == "direct",
|
|
text_coverage=recommendation.metadata.get("text_coverage") if recommendation.metadata else None,
|
|
page_count=recommendation.metadata.get("total_pages") if recommendation.metadata else None
|
|
)
|
|
|
|
logger.info(f"Document analysis for task {task_id}: {recommendation.track} (confidence: {recommendation.confidence})")
|
|
return response
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to analyze document for task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to analyze document: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.get("/{task_id}/metadata", response_model=ProcessingMetadata, summary="Get processing metadata")
|
|
async def get_processing_metadata(
|
|
task_id: str,
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Get processing metadata for a completed task
|
|
|
|
Returns detailed processing information including track used,
|
|
element counts, and statistics.
|
|
|
|
- **task_id**: Task UUID
|
|
"""
|
|
try:
|
|
# Get task details
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
if task.status != TaskStatus.COMPLETED:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail="Task not completed"
|
|
)
|
|
|
|
# Load JSON result to get metadata
|
|
if not task.result_json_path:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Result JSON not found"
|
|
)
|
|
|
|
json_path = Path(task.result_json_path)
|
|
if not json_path.exists():
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Result file not found"
|
|
)
|
|
|
|
with open(json_path, 'r', encoding='utf-8') as f:
|
|
result_data = json.load(f)
|
|
|
|
# Extract metadata
|
|
metadata = result_data.get('metadata', {})
|
|
statistics = result_data.get('statistics', {})
|
|
|
|
response = ProcessingMetadata(
|
|
processing_track=ProcessingTrackEnum(metadata.get('processing_track', 'ocr')),
|
|
processing_time_seconds=metadata.get('processing_time', 0),
|
|
language=metadata.get('language', 'ch'),
|
|
page_count=statistics.get('page_count', 1),
|
|
total_elements=statistics.get('total_elements', 0),
|
|
total_text_regions=len(result_data.get('text_regions', [])) if 'text_regions' in result_data else statistics.get('total_elements', 0),
|
|
total_tables=statistics.get('total_tables', 0),
|
|
total_images=statistics.get('total_images', 0),
|
|
average_confidence=result_data.get('average_confidence'),
|
|
unified_format=metadata.get('processing_info', {}).get('export_format') == 'unified_document_v1'
|
|
)
|
|
|
|
return response
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to get metadata for task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to get metadata: {str(e)}"
|
|
)
|
|
|
|
|
|
@router.get("/{task_id}/download/unified", summary="Download unified format")
|
|
async def download_unified(
|
|
task_id: str,
|
|
include_metadata: bool = Query(True, description="Include processing metadata"),
|
|
include_statistics: bool = Query(True, description="Include document statistics"),
|
|
db: Session = Depends(get_db),
|
|
current_user: User = Depends(get_current_user)
|
|
):
|
|
"""
|
|
Download results in unified document format
|
|
|
|
Returns JSON with full UnifiedDocument structure including
|
|
all elements, coordinates, and metadata.
|
|
|
|
- **task_id**: Task UUID
|
|
- **include_metadata**: Include processing metadata
|
|
- **include_statistics**: Include document statistics
|
|
"""
|
|
try:
|
|
# Get task details
|
|
task = task_service.get_task_by_id(
|
|
db=db,
|
|
task_id=task_id,
|
|
user_id=current_user.id
|
|
)
|
|
|
|
if not task:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Task not found"
|
|
)
|
|
|
|
if task.status != TaskStatus.COMPLETED:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_400_BAD_REQUEST,
|
|
detail="Task not completed"
|
|
)
|
|
|
|
# Get JSON result path
|
|
if not task.result_json_path:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Result JSON not found"
|
|
)
|
|
|
|
json_path = Path(task.result_json_path)
|
|
if not json_path.exists():
|
|
raise HTTPException(
|
|
status_code=status.HTTP_404_NOT_FOUND,
|
|
detail="Result file not found"
|
|
)
|
|
|
|
# Return the unified format JSON
|
|
return FileResponse(
|
|
path=str(json_path),
|
|
filename=f"{task_id}_unified.json",
|
|
media_type="application/json"
|
|
)
|
|
|
|
except HTTPException:
|
|
raise
|
|
except Exception as e:
|
|
logger.exception(f"Failed to download unified format for task {task_id}")
|
|
raise HTTPException(
|
|
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
|
|
detail=f"Failed to download: {str(e)}"
|
|
)
|