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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
87 lines
2.4 KiB
Python
87 lines
2.4 KiB
Python
"""
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Orientation & Crop shared helpers - cache management and pipeline logging.
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"""
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import logging
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from typing import Any, Dict
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import cv2
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import numpy as np
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from fastapi import HTTPException
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from .session_store import (
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get_session_db,
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get_session_image,
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update_session_db,
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)
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logger = logging.getLogger(__name__)
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# Reference to the shared cache from ocr_pipeline_api (set in main.py)
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_cache: Dict[str, Dict[str, Any]] = {}
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def set_cache_ref(cache: Dict[str, Dict[str, Any]]):
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"""Set reference to the shared cache from ocr_pipeline_api."""
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global _cache
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_cache = cache
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def get_cache_ref() -> Dict[str, Dict[str, Any]]:
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"""Get reference to the shared cache."""
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return _cache
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async def ensure_cached(session_id: str) -> Dict[str, Any]:
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"""Ensure session is in cache, loading from DB if needed."""
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if session_id in _cache:
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return _cache[session_id]
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session = await get_session_db(session_id)
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if not session:
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raise HTTPException(status_code=404, detail=f"Session {session_id} not found")
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cache_entry: Dict[str, Any] = {
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"id": session_id,
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**session,
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"original_bgr": None,
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"oriented_bgr": None,
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"cropped_bgr": None,
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"deskewed_bgr": None,
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"dewarped_bgr": None,
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}
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for img_type, bgr_key in [
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("original", "original_bgr"),
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("oriented", "oriented_bgr"),
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("cropped", "cropped_bgr"),
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("deskewed", "deskewed_bgr"),
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("dewarped", "dewarped_bgr"),
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]:
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png_data = await get_session_image(session_id, img_type)
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if png_data:
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arr = np.frombuffer(png_data, dtype=np.uint8)
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bgr = cv2.imdecode(arr, cv2.IMREAD_COLOR)
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cache_entry[bgr_key] = bgr
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_cache[session_id] = cache_entry
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return cache_entry
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async def append_pipeline_log(session_id: str, step: str, metrics: dict, duration_ms: int):
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"""Append a step entry to the pipeline log."""
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from datetime import datetime
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session = await get_session_db(session_id)
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if not session:
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return
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pipeline_log = session.get("pipeline_log") or {"steps": []}
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pipeline_log["steps"].append({
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"step": step,
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"completed_at": datetime.utcnow().isoformat(),
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"success": True,
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"duration_ms": duration_ms,
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"metrics": metrics,
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})
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await update_session_db(session_id, pipeline_log=pipeline_log)
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