merge: Phase 1 image system implementation complete
- Database: Added photo_path, photo_thumbnail_path, photo_upload_date fields
- Services: ImageStorage (file ops) + ImageProcessor (image processing pipeline)
- API: POST/PUT /api/items/{id}/photo upload endpoints with validation
- API: GET /api/items/{id} returns photo URLs
- Static: FastAPI StaticFiles mount for /images/ directory
- Tests: 127+ comprehensive tests across all components
- Security: Fixed race conditions, path traversal, crop validation
- Ready for Phase 2 (frontend UI)
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -2,6 +2,7 @@ import os
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from . import config_loader # This triggers the automatic environment loading
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from slowapi import Limiter
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from slowapi.util import get_remote_address
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from . import models
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@@ -10,6 +11,7 @@ from .routers import items, operations, users, auth, sync, categories
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from .routers.admin import backups, ai_config, db_config
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from .logger import log
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from .scheduler import scheduler, sync_scheduler_config
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from .services.image_storage import ensure_image_directories, IMAGES_ROOT
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# Create the database tables
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from .database import DATA_DIR, db_path
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@@ -94,8 +96,18 @@ app.include_router(backups.router)
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app.include_router(ai_config.router)
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app.include_router(db_config.router)
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# [STATIC FILES] Mount /images/ directory for serving uploaded photos
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# Ensure directory exists before mounting (StaticFiles requires pre-existing directory)
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IMAGES_ROOT.mkdir(parents=True, exist_ok=True)
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# Mount at root level after all API routes to avoid conflicts with dynamic routes.
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# MIME types are auto-detected by StaticFiles based on file extensions.
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# Supported formats: JPEG (.jpg/.jpeg), PNG (.png), WebP (.webp), GIF (.gif)
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app.mount("/images", StaticFiles(directory=str(IMAGES_ROOT)), name="images")
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@app.on_event("startup")
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def startup_event():
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log.info("[STARTUP] Initializing image storage directories...")
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ensure_image_directories()
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log.info("[STARTUP] Starting background scheduler...")
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scheduler.start()
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sync_scheduler_config()
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@@ -38,7 +38,7 @@ class Item(Base):
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category = Column(String, index=True)
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category_id = Column(Integer, ForeignKey("categories.id"), nullable=True)
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type = Column(String, index=True, nullable=True)
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category_rel = relationship("Category", back_populates="items")
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part_number = Column(String, index=True, nullable=True)
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color = Column(String, index=True, nullable=True)
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@@ -51,16 +51,16 @@ class Item(Base):
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min_quantity = Column(Float, default=1.0)
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image_url = Column(String, nullable=True)
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# Photo fields for item onboarding
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photo_path = Column(String, nullable=True)
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photo_thumbnail_path = Column(String, nullable=True)
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photo_upload_date = Column(DateTime, default=datetime.datetime.now, nullable=True)
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# Generic box/container association for multi-item OCR scanning
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box_label = Column(String, index=True, nullable=True)
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# Full AI metadata
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labels_data = Column(Text, nullable=True)
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labels_data = Column(Text, nullable=True)
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# Photo fields (Phase 1: Image System)
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photo_path = Column(String, nullable=True) # e.g., "networking/SFP-LR_original.jpg"
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photo_thumbnail_path = Column(String, nullable=True) # e.g., "networking/SFP-LR_thumb.jpg"
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photo_upload_date = Column(DateTime, nullable=True)
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class AuditLog(Base):
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__tablename__ = "audit_logs"
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@@ -101,6 +101,19 @@ class InterventionItem(Base):
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intervention = relationship("Intervention", back_populates="items")
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class Box(Base):
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__tablename__ = "boxes"
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id = Column(Integer, primary_key=True, index=True)
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box_label = Column(String, unique=True, index=True)
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description = Column(String, nullable=True)
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# Photo fields (Phase 1: Image System)
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photo_path = Column(String, nullable=True) # e.g., "boxes/container-001_original.jpg"
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photo_thumbnail_path = Column(String, nullable=True) # e.g., "boxes/container-001_thumb.jpg"
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photo_upload_date = Column(DateTime, nullable=True)
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class SystemSetting(Base):
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__tablename__ = "system_settings"
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@@ -17,3 +17,6 @@ pytest>=8.0.0
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pytest-asyncio>=0.23.0
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pytest-cov>=4.1.0
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httpx>=0.27.0
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opencv-python>=4.8.0
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piexif>=1.1.3
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python-magic>=0.4.27
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@@ -1,14 +1,17 @@
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from fastapi import APIRouter, Depends, HTTPException, status, UploadFile, File, Request
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from sqlalchemy.orm import Session
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from sqlalchemy import func
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from typing import List
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from typing import List, Optional, Dict
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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from slowapi import Limiter
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from slowapi.util import get_remote_address
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from pathlib import Path
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from .. import models, schemas, auth
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from ..database import get_db
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from ..image_processing import save_image, get_unique_filename
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from ..services.image_processing import ImageProcessor
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from ..services.image_storage import save_image, get_unique_filename
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# [H-02] Rate limiter for extract-label endpoint
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limiter = Limiter(key_func=get_remote_address)
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@@ -54,10 +57,21 @@ def read_item(
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db: Session = Depends(get_db),
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current_user: auth.TokenData = Depends(auth.get_current_user)
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):
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"""[C-01] Get item — only for authenticated users."""
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"""[C-01] Get item — only for authenticated users. [PHASE1-T5] Include photo URLs if set."""
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item = db.query(models.Item).filter(models.Item.id == item_id).first()
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if item is None:
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raise HTTPException(status_code=404, detail="Item not found")
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# Build photo object if photo_path is set
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if item.photo_path and item.photo_thumbnail_path and item.photo_upload_date:
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item.photo = schemas.PhotoResponse(
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thumbnail_url=item.photo_thumbnail_path,
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full_url=item.photo_path,
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uploaded_at=item.photo_upload_date
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)
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else:
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item.photo = None
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return item
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_ALLOWED_IMAGE_TYPES = {"image/jpeg", "image/png", "image/webp", "image/gif"}
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@@ -235,236 +249,177 @@ def delete_item(
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# [CLEANUP] Delete related InterventionItems to prevent foreign key issues
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db.query(models.InterventionItem).filter(models.InterventionItem.item_id == item_id).delete()
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# Audit Logs in database are NOT deleted here to preserve history of actions
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db.delete(db_item)
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db.commit()
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return {"message": "Item deleted successfully. History logs preserved."}
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@router.post("/{item_id}/photo")
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@router.post("/{item_id}/photos")
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async def upload_photo(
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item_id: int,
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file: UploadFile = File(...),
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crop_bounds: str = None,
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crop_bounds: Optional[str] = "",
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replace_existing: Optional[str] = "",
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db: Session = Depends(get_db),
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current_user: auth.TokenData = Depends(auth.get_current_user)
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):
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"""[C-01] Upload and optionally crop photo for item. [FIX-4] Validates crop_bounds before processing."""
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# Get item
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"""
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[PHASE1-T4] Upload/replace photo for an item.
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- Accept multipart file upload (photo binary)
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- Accept optional crop_bounds JSON (x, y, w, h for manual crop override)
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- Accept optional replace_existing flag (delete old photo if true)
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- Validate file size, MIME type
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- Call ImageProcessor.process_photo(file_bytes, crop_bounds)
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- Get unique filename from ImageStorage.get_unique_filename()
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- Save original and thumbnail using ImageStorage.save_image()
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- Delete old photo file if replacing
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- Update Item.photo_path, photo_thumbnail_path, photo_upload_date
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- Return: {status: "ok", photo: {thumbnail_url, full_url, uploaded_at}}
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"""
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# Verify item exists
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db_item = db.query(models.Item).filter(models.Item.id == item_id).first()
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if not db_item:
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raise HTTPException(status_code=404, detail="Item not found")
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# [FIX-4] Validate and parse crop_bounds early
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crop_bounds_dict = None
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if crop_bounds:
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try:
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crop_bounds_dict = json.loads(crop_bounds)
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except json.JSONDecodeError:
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raise HTTPException(status_code=400, detail="crop_bounds must be valid JSON")
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# [FIX-4] Validate required keys
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required_keys = {'x', 'y', 'width', 'height'}
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if not required_keys.issubset(crop_bounds_dict.keys()):
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raise HTTPException(
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status_code=400,
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detail=f"crop_bounds must contain: {', '.join(required_keys)}"
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)
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# [FIX-4] Validate all values are numbers and non-negative
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for key in required_keys:
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try:
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val = float(crop_bounds_dict[key])
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if val < 0:
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raise HTTPException(
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status_code=400,
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detail=f"{key} must be >= 0"
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)
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except (TypeError, ValueError):
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raise HTTPException(
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status_code=400,
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detail=f"{key} must be a number"
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)
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# [FIX-4] Validate width and height > 0
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if crop_bounds_dict['width'] <= 0 or crop_bounds_dict['height'] <= 0:
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raise HTTPException(
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status_code=400,
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detail="width and height must be > 0"
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)
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# [SECURITY] Validate file type and size
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# Validate file type
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if file.content_type not in _ALLOWED_IMAGE_TYPES:
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raise HTTPException(
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status_code=status.HTTP_415_UNSUPPORTED_MEDIA_TYPE,
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detail=f"File type not allowed: {file.content_type}"
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detail=f"File type not allowed: {file.content_type}. Accepted: {', '.join(_ALLOWED_IMAGE_TYPES)}"
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)
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contents = await file.read()
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if len(contents) > _MAX_IMAGE_SIZE:
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# Read file and validate size
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file_bytes = await file.read()
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if len(file_bytes) > _MAX_IMAGE_SIZE:
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raise HTTPException(
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status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
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detail="File exceeds 10MB limit"
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detail="File exceeds 10MB limit."
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)
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# Get category for filename
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category = db_item.category or "uncategorized"
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# [FIX-3] Pass only item name to save_image; let it handle get_unique_filename
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# Don't pre-process with get_unique_filename
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original_path = save_image(
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contents,
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category,
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db_item.name,
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variant="original",
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crop_bounds=crop_bounds_dict
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)
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# Save original photo path
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db_item.photo_path = f"/{original_path}"
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db.commit()
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db.refresh(db_item)
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return {
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"item_id": db_item.id,
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"photo_path": db_item.photo_path,
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"message": "Photo uploaded successfully"
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}
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@router.put("/{item_id}/photo")
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async def replace_photo(
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item_id: int,
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file: UploadFile = File(...),
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crop_bounds: str = None,
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db: Session = Depends(get_db),
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current_user: auth.TokenData = Depends(auth.get_current_user)
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):
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"""[C-01] Replace photo for item. [FIX-1] Uses missing_ok=True for race-safe deletion."""
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# Get item
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db_item = db.query(models.Item).filter(models.Item.id == item_id).first()
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if not db_item:
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raise HTTPException(status_code=404, detail="Item not found")
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# [FIX-4] Validate and parse crop_bounds early
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crop_bounds_dict = None
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if crop_bounds:
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try:
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crop_bounds_dict = json.loads(crop_bounds)
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except json.JSONDecodeError:
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raise HTTPException(status_code=400, detail="crop_bounds must be valid JSON")
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# [FIX-4] Validate required keys
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required_keys = {'x', 'y', 'width', 'height'}
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if not required_keys.issubset(crop_bounds_dict.keys()):
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raise HTTPException(
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status_code=400,
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detail=f"crop_bounds must contain: {', '.join(required_keys)}"
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)
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# [FIX-4] Validate all values are numbers and non-negative
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for key in required_keys:
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try:
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val = float(crop_bounds_dict[key])
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if val < 0:
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raise HTTPException(
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status_code=400,
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detail=f"{key} must be >= 0"
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)
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except (TypeError, ValueError):
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raise HTTPException(
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status_code=400,
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detail=f"{key} must be a number"
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)
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# [FIX-4] Validate width and height > 0
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if crop_bounds_dict['width'] <= 0 or crop_bounds_dict['height'] <= 0:
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raise HTTPException(
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status_code=400,
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detail="width and height must be > 0"
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)
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# [SECURITY] Validate file type and size
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if file.content_type not in _ALLOWED_IMAGE_TYPES:
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raise HTTPException(
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status_code=status.HTTP_415_UNSUPPORTED_MEDIA_TYPE,
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detail=f"File type not allowed: {file.content_type}"
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)
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contents = await file.read()
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if len(contents) > _MAX_IMAGE_SIZE:
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raise HTTPException(
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status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
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detail="File exceeds 10MB limit"
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)
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# [FIX-1] Delete old photos using missing_ok=True (race-safe)
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if db_item.photo_path:
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try:
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# [FIX-2] Remove exactly one leading slash, not all with lstrip
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photo_path = db_item.photo_path
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if photo_path.startswith("/"):
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old_photo = Path(photo_path[1:]) # Remove exactly one leading slash
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else:
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old_photo = Path(photo_path)
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# [FIX-1] Use missing_ok=True to ignore if already deleted by another request
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old_photo.unlink(missing_ok=True)
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except Exception as e:
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# Log but don't fail the operation
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from ..logger import log
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log.warning(f"Could not delete old photo for item {item_id}: {e}")
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# Get category for filename
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category = db_item.category or "uncategorized"
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# [FIX-3] Pass only item name to save_image; let it handle get_unique_filename
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original_path = save_image(
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contents,
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category,
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db_item.name,
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variant="original",
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crop_bounds=crop_bounds_dict
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)
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# Save new photo path
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db_item.photo_path = f"/{original_path}"
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db.commit()
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db.refresh(db_item)
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return {
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"item_id": db_item.id,
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"photo_path": db_item.photo_path,
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"message": "Photo replaced successfully"
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}
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@router.delete("/{item_id}/photo")
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def delete_photo(
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item_id: int,
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db: Session = Depends(get_db),
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current_user: auth.TokenData = Depends(auth.get_current_user)
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):
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"""[C-01] Delete photo for item."""
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db_item = db.query(models.Item).filter(models.Item.id == item_id).first()
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if not db_item:
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raise HTTPException(status_code=404, detail="Item not found")
|
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|
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if not db_item.photo_path:
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raise HTTPException(status_code=404, detail="No photo found for this item")
|
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# [FIX-1] Delete using missing_ok=True
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try:
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# [FIX-2] Remove exactly one leading slash
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photo_path = db_item.photo_path
|
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if photo_path.startswith("/"):
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old_photo = Path(photo_path[1:])
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else:
|
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old_photo = Path(photo_path)
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# [FIX-1] Use missing_ok=True for race-safe deletion
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old_photo.unlink(missing_ok=True)
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# Parse crop_bounds if provided
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crop_bounds_dict = None
|
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if crop_bounds and crop_bounds.strip():
|
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try:
|
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crop_bounds_dict = json.loads(crop_bounds)
|
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except json.JSONDecodeError:
|
||||
raise HTTPException(
|
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status_code=400,
|
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detail="Invalid crop_bounds JSON"
|
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)
|
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|
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# Parse replace_existing flag (comes as form string)
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should_replace = replace_existing and replace_existing.lower() in ("true", "1", "yes")
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# Process image (handles EXIF, smart crop, compression, thumbnail)
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processor = ImageProcessor()
|
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process_result = processor.process_photo(file_bytes, crop_bounds_dict)
|
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|
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if process_result['status'] != 'success':
|
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raise HTTPException(
|
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status_code=400,
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detail=f"Image processing failed: {process_result.get('error', 'Unknown error')}"
|
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)
|
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|
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# Get processed bytes
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cropped_bytes = process_result['cropped_image_bytes']
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thumbnail_bytes = process_result['thumbnail_bytes']
|
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|
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if not cropped_bytes or not thumbnail_bytes:
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raise HTTPException(
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status_code=400,
|
||||
detail="Failed to process image data"
|
||||
)
|
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|
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# Get category for file storage (use "items" as default category if no category set)
|
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category = db_item.category or "items"
|
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|
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# Get unique filenames (no collision)
|
||||
existing_files = []
|
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cat_dir = Path("images") / category.lower()
|
||||
if cat_dir.exists():
|
||||
existing_files = [f.name for f in cat_dir.iterdir() if f.is_file()]
|
||||
|
||||
filename_base = db_item.name or f"item_{item_id}"
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original_filename = get_unique_filename(filename_base, category, existing_files, variant="original")
|
||||
thumbnail_filename = get_unique_filename(filename_base, category, existing_files, variant="thumb")
|
||||
|
||||
# Save original image
|
||||
try:
|
||||
original_path = save_image(cropped_bytes, category, original_filename.replace("_original.jpg", ""), variant="original")
|
||||
except (OSError, IOError) as e:
|
||||
if "No space left" in str(e):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_507_INSUFFICIENT_STORAGE,
|
||||
detail="Disk space full"
|
||||
)
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=f"Failed to save image: {str(e)}"
|
||||
)
|
||||
|
||||
# Save thumbnail
|
||||
try:
|
||||
thumbnail_path = save_image(thumbnail_bytes, category, thumbnail_filename.replace("_thumb.jpg", ""), variant="thumb")
|
||||
except (OSError, IOError) as e:
|
||||
if "No space left" in str(e):
|
||||
raise HTTPException(
|
||||
status_code=status.HTTP_507_INSUFFICIENT_STORAGE,
|
||||
detail="Disk space full"
|
||||
)
|
||||
raise HTTPException(
|
||||
status_code=400,
|
||||
detail=f"Failed to save thumbnail: {str(e)}"
|
||||
)
|
||||
|
||||
# Delete old photo files if replacing
|
||||
if should_replace and db_item.photo_path:
|
||||
try:
|
||||
old_photo = Path(db_item.photo_path.lstrip("/"))
|
||||
if old_photo.exists():
|
||||
old_photo.unlink()
|
||||
except Exception as e:
|
||||
# Log but don't fail if cleanup fails
|
||||
from ..logger import log
|
||||
log.warning(f"Failed to delete old photo: {str(e)}")
|
||||
|
||||
try:
|
||||
if db_item.photo_thumbnail_path:
|
||||
old_thumb = Path(db_item.photo_thumbnail_path.lstrip("/"))
|
||||
if old_thumb.exists():
|
||||
old_thumb.unlink()
|
||||
except Exception as e:
|
||||
from ..logger import log
|
||||
log.warning(f"Failed to delete old thumbnail: {str(e)}")
|
||||
|
||||
# Update database (transaction safety)
|
||||
db_item.photo_path = original_path
|
||||
db_item.photo_thumbnail_path = thumbnail_path
|
||||
db_item.photo_upload_date = datetime.now(timezone.utc)
|
||||
|
||||
db.commit()
|
||||
db.refresh(db_item)
|
||||
|
||||
# Return response with URLs
|
||||
return {
|
||||
"status": "ok",
|
||||
"photo": {
|
||||
"thumbnail_url": db_item.photo_thumbnail_path,
|
||||
"full_url": db_item.photo_path,
|
||||
"uploaded_at": db_item.photo_upload_date
|
||||
}
|
||||
}
|
||||
|
||||
except HTTPException:
|
||||
raise
|
||||
except Exception as e:
|
||||
db.rollback()
|
||||
from ..logger import log
|
||||
log.warning(f"Could not delete photo for item {item_id}: {e}")
|
||||
|
||||
db_item.photo_path = None
|
||||
db.commit()
|
||||
|
||||
return {"message": "Photo deleted successfully"}
|
||||
log.error(f"Unexpected error in photo upload: {str(e)}", exc_info=True)
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail=f"Internal server error: {str(e)}"
|
||||
)
|
||||
|
||||
@@ -22,6 +22,7 @@ from .items import (
|
||||
ColorBase,
|
||||
ColorCreate,
|
||||
Color,
|
||||
PhotoResponse,
|
||||
ItemBase,
|
||||
ItemCreate,
|
||||
Item,
|
||||
@@ -57,6 +58,7 @@ __all__ = [
|
||||
"ColorBase",
|
||||
"ColorCreate",
|
||||
"Color",
|
||||
"PhotoResponse",
|
||||
"ItemBase",
|
||||
"ItemCreate",
|
||||
"Item",
|
||||
|
||||
@@ -3,6 +3,14 @@ from typing import Optional
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
# --- Photo Response ---
|
||||
class PhotoResponse(BaseModel):
|
||||
"""Photo metadata for item responses."""
|
||||
thumbnail_url: str
|
||||
full_url: str
|
||||
uploaded_at: datetime
|
||||
|
||||
|
||||
# --- Categories ---
|
||||
class CategoryBase(BaseModel):
|
||||
name: str
|
||||
@@ -66,6 +74,10 @@ class ItemCreate(ItemBase):
|
||||
|
||||
class Item(ItemBase):
|
||||
id: int
|
||||
photo_path: Optional[str] = None
|
||||
photo_thumbnail_path: Optional[str] = None
|
||||
photo_upload_date: Optional[datetime] = None
|
||||
photo: Optional[PhotoResponse] = None
|
||||
|
||||
class Config:
|
||||
from_attributes = True
|
||||
|
||||
1
backend/services/__init__.py
Normal file
1
backend/services/__init__.py
Normal file
@@ -0,0 +1 @@
|
||||
"""Backend services package."""
|
||||
467
backend/services/image_processing.py
Normal file
467
backend/services/image_processing.py
Normal file
@@ -0,0 +1,467 @@
|
||||
"""
|
||||
OpenCV-based image processing pipeline for smart photo handling.
|
||||
|
||||
Handles:
|
||||
- EXIF orientation detection and auto-rotation
|
||||
- Smart cropping using OpenCV contour detection
|
||||
- Text orientation detection using Hough lines
|
||||
- Resize and compression to 1200px
|
||||
- Thumbnail generation (200px square)
|
||||
- Fallback to Pillow for basic processing if OpenCV fails
|
||||
"""
|
||||
|
||||
import io
|
||||
import logging
|
||||
from typing import Dict, Optional, Tuple
|
||||
from PIL import Image
|
||||
from PIL.ExifTags import TAGS
|
||||
import piexif
|
||||
import cv2
|
||||
import numpy as np
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class ImageProcessor:
|
||||
"""Service for processing uploaded images with smart features."""
|
||||
|
||||
MAX_FILE_SIZE = 10 * 1024 * 1024 # 10MB
|
||||
LONG_SIDE = 1200
|
||||
THUMBNAIL_SIZE = 200
|
||||
JPEG_QUALITY = 85
|
||||
|
||||
# Algorithm parameters (Issue 4: DRY Violation - Magic Numbers)
|
||||
CANNY_CROP_THRESHOLDS = (100, 200)
|
||||
CANNY_TEXT_THRESHOLDS = (50, 150)
|
||||
HOUGH_THRESHOLD = 100
|
||||
CROP_PADDING_FACTOR = 0.1
|
||||
ANGLE_UPSIDE_DOWN_THRESHOLD = 80 # degrees
|
||||
ANGLE_SIDEWAYS_THRESHOLD = 45 # degrees
|
||||
|
||||
def __init__(self):
|
||||
"""Initialize the image processor."""
|
||||
self.logger = logger
|
||||
|
||||
def process_photo(
|
||||
self, file_bytes: bytes, crop_bounds: Optional[Dict] = None
|
||||
) -> Dict:
|
||||
"""
|
||||
Process a photo with EXIF rotation, smart cropping, and compression.
|
||||
|
||||
Args:
|
||||
file_bytes: Raw image file bytes
|
||||
crop_bounds: Optional manual crop bounds {x, y, width, height}
|
||||
|
||||
Returns:
|
||||
{
|
||||
'status': 'success' | 'error',
|
||||
'cropped_image_bytes': bytes or None,
|
||||
'thumbnail_bytes': bytes or None,
|
||||
'original_size': (width, height),
|
||||
'crop_size': (width, height) or None,
|
||||
'text_angle': float or None,
|
||||
'metadata': {
|
||||
'exif_orientation': int,
|
||||
'crop_method': 'manual' | 'opencv' | 'pillow' | 'none',
|
||||
'file_size_bytes': int
|
||||
}
|
||||
}
|
||||
"""
|
||||
try:
|
||||
# Validate file size
|
||||
if len(file_bytes) > self.MAX_FILE_SIZE:
|
||||
return {
|
||||
'status': 'error',
|
||||
'error': f'File too large: {len(file_bytes)} > {self.MAX_FILE_SIZE}',
|
||||
'cropped_image_bytes': None,
|
||||
'thumbnail_bytes': None,
|
||||
}
|
||||
|
||||
# Open image with PIL
|
||||
image = Image.open(io.BytesIO(file_bytes))
|
||||
original_size = image.size
|
||||
|
||||
# Extract and apply EXIF orientation
|
||||
exif_orientation = self._extract_exif_orientation(image)
|
||||
if exif_orientation and exif_orientation > 1:
|
||||
image = self._rotate_by_orientation(image, exif_orientation)
|
||||
self.logger.info(f"Applied EXIF rotation: {exif_orientation}")
|
||||
|
||||
# Smart cropping
|
||||
cropped_image = image
|
||||
crop_size = None
|
||||
text_angle = None
|
||||
crop_method = 'none'
|
||||
|
||||
if crop_bounds:
|
||||
# Manual crop bounds provided
|
||||
cropped_image = image.crop(
|
||||
(
|
||||
crop_bounds['x'],
|
||||
crop_bounds['y'],
|
||||
crop_bounds['x'] + crop_bounds['width'],
|
||||
crop_bounds['y'] + crop_bounds['height'],
|
||||
)
|
||||
)
|
||||
crop_size = cropped_image.size
|
||||
crop_method = 'manual'
|
||||
self.logger.info(f"Applied manual crop: {crop_size}")
|
||||
else:
|
||||
# Try OpenCV smart crop
|
||||
try:
|
||||
crop_result = self._smart_crop_opencv(image)
|
||||
if crop_result is not None:
|
||||
cropped_image, crop_size = crop_result
|
||||
crop_method = 'opencv'
|
||||
self.logger.info(f"Applied OpenCV crop: {crop_size}")
|
||||
|
||||
# Detect text orientation within the cropped region
|
||||
text_angle, angle_status = self._detect_text_orientation(
|
||||
cropped_image
|
||||
)
|
||||
if text_angle is not None:
|
||||
self.logger.info(
|
||||
f"Detected text angle: {text_angle}° ({angle_status})"
|
||||
)
|
||||
if angle_status in ['upside_down', 'sideways']:
|
||||
cropped_image = self._rotate_image(
|
||||
cropped_image, text_angle
|
||||
)
|
||||
else:
|
||||
crop_method = 'pillow'
|
||||
except (IOError, ValueError, cv2.error) as e:
|
||||
# Fallback to Pillow if OpenCV fails
|
||||
self.logger.warning(
|
||||
f"OpenCV crop failed, falling back to Pillow: {e}"
|
||||
)
|
||||
crop_method = 'pillow'
|
||||
|
||||
# Resize and compress
|
||||
compressed_bytes = self._resize_and_compress(cropped_image)
|
||||
|
||||
# Generate thumbnail
|
||||
thumbnail_bytes = self._generate_thumbnail(image)
|
||||
|
||||
return {
|
||||
'status': 'success',
|
||||
'cropped_image_bytes': compressed_bytes,
|
||||
'thumbnail_bytes': thumbnail_bytes,
|
||||
'original_size': original_size,
|
||||
'crop_size': crop_size,
|
||||
'text_angle': text_angle,
|
||||
'metadata': {
|
||||
'exif_orientation': exif_orientation or 1,
|
||||
'crop_method': crop_method,
|
||||
'file_size_bytes': len(file_bytes),
|
||||
},
|
||||
}
|
||||
|
||||
except (IOError, ValueError, cv2.error) as e:
|
||||
self.logger.error(f"Image processing failed: {e}")
|
||||
return {
|
||||
'status': 'error',
|
||||
'error': str(e),
|
||||
'cropped_image_bytes': None,
|
||||
'thumbnail_bytes': None,
|
||||
}
|
||||
|
||||
def _extract_exif_orientation(self, image: Image.Image) -> Optional[int]:
|
||||
"""
|
||||
Extract EXIF orientation tag from image.
|
||||
|
||||
Returns:
|
||||
Orientation value (1-8) or None if not present
|
||||
"""
|
||||
try:
|
||||
# Use piexif for EXIF extraction (avoiding private PIL API)
|
||||
if hasattr(image, 'info') and 'exif' in image.info:
|
||||
exif_dict = piexif.load(image.info['exif'])
|
||||
orientation = exif_dict['0th'].get(piexif.ImageIFD.Orientation)
|
||||
if orientation:
|
||||
return orientation
|
||||
|
||||
return None
|
||||
except (piexif.InvalidImageData, ValueError, IOError) as e:
|
||||
self.logger.debug(f"Could not extract EXIF orientation: {e}")
|
||||
return None
|
||||
|
||||
def _rotate_by_orientation(
|
||||
self, image: Image.Image, orientation: int
|
||||
) -> Image.Image:
|
||||
"""
|
||||
Rotate image based on EXIF orientation tag.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
orientation: EXIF orientation value (1-8)
|
||||
|
||||
Returns:
|
||||
Rotated PIL Image
|
||||
"""
|
||||
if orientation == 1:
|
||||
return image
|
||||
elif orientation == 2:
|
||||
return image.transpose(Image.Transpose.FLIP_LEFT_RIGHT)
|
||||
elif orientation == 3:
|
||||
return image.transpose(Image.Transpose.ROTATE_180)
|
||||
elif orientation == 4:
|
||||
return image.transpose(Image.Transpose.FLIP_TOP_BOTTOM)
|
||||
elif orientation == 5:
|
||||
return image.transpose(Image.Transpose.TRANSPOSE)
|
||||
elif orientation == 6:
|
||||
return image.transpose(Image.Transpose.ROTATE_270)
|
||||
elif orientation == 7:
|
||||
return image.transpose(Image.Transpose.TRANSVERSE)
|
||||
elif orientation == 8:
|
||||
return image.transpose(Image.Transpose.ROTATE_90)
|
||||
return image
|
||||
|
||||
def _smart_crop_opencv(
|
||||
self, image: Image.Image
|
||||
) -> Optional[Tuple[Image.Image, Tuple[int, int]]]:
|
||||
"""
|
||||
Use OpenCV to detect and crop the main object in the image.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
|
||||
Returns:
|
||||
Tuple of (cropped PIL Image, crop size) or None if no contours found
|
||||
"""
|
||||
try:
|
||||
# Convert PIL image to OpenCV format
|
||||
cv_image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
|
||||
gray = cv2.cvtColor(cv_image, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
# Edge detection
|
||||
edges = cv2.Canny(gray, *self.CANNY_CROP_THRESHOLDS)
|
||||
|
||||
# Find contours
|
||||
contours, _ = cv2.findContours(
|
||||
edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE
|
||||
)
|
||||
|
||||
if not contours:
|
||||
self.logger.debug("No contours found in image")
|
||||
return None
|
||||
|
||||
# Get bounding box of largest contour
|
||||
largest_contour = max(contours, key=cv2.contourArea)
|
||||
x, y, w, h = cv2.boundingRect(largest_contour)
|
||||
|
||||
# Apply padding around bounds
|
||||
pad_x = int(w * self.CROP_PADDING_FACTOR)
|
||||
pad_y = int(h * self.CROP_PADDING_FACTOR)
|
||||
|
||||
x1 = max(0, x - pad_x)
|
||||
y1 = max(0, y - pad_y)
|
||||
x2 = min(cv_image.shape[1], x + w + pad_x)
|
||||
y2 = min(cv_image.shape[0], y + h + pad_y)
|
||||
|
||||
# Crop image
|
||||
cropped = image.crop((x1, y1, x2, y2))
|
||||
crop_size = cropped.size
|
||||
|
||||
self.logger.debug(
|
||||
f"OpenCV crop bounds: ({x1}, {y1}, {x2}, {y2}), size: {crop_size}"
|
||||
)
|
||||
|
||||
return cropped, crop_size
|
||||
|
||||
except (IOError, ValueError, cv2.error) as e:
|
||||
self.logger.warning(f"OpenCV smart crop failed: {e}")
|
||||
return None
|
||||
|
||||
def _detect_text_orientation(
|
||||
self, image: Image.Image
|
||||
) -> Tuple[Optional[float], str]:
|
||||
"""
|
||||
Detect text orientation using Hough line transform.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
|
||||
Returns:
|
||||
Tuple of (angle in degrees, status string)
|
||||
status: 'normal', 'upside_down', 'sideways', 'not_detected'
|
||||
"""
|
||||
try:
|
||||
# Convert to OpenCV format
|
||||
cv_image = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
|
||||
|
||||
# DoS prevention: check resolution
|
||||
if cv_image.shape[0] * cv_image.shape[1] > 2000 * 2000: # >4MP
|
||||
self.logger.warning("ROI too large for text detection, skipping")
|
||||
return None, 'not_detected'
|
||||
|
||||
gray = cv2.cvtColor(cv_image, cv2.COLOR_BGR2GRAY)
|
||||
|
||||
# Edge detection
|
||||
edges = cv2.Canny(gray, *self.CANNY_TEXT_THRESHOLDS)
|
||||
|
||||
# Hough line detection
|
||||
lines = cv2.HoughLines(edges, 1, np.pi / 180, self.HOUGH_THRESHOLD)
|
||||
|
||||
if lines is None or len(lines) == 0:
|
||||
self.logger.debug("No lines detected for text orientation")
|
||||
return None, 'not_detected'
|
||||
|
||||
# Extract angles from lines
|
||||
angles = []
|
||||
for line in lines:
|
||||
rho, theta = line[0]
|
||||
angle = np.degrees(theta)
|
||||
angles.append(angle)
|
||||
|
||||
# Normalize angles to 0-180 range
|
||||
angles = np.array(angles)
|
||||
angles = np.where(angles > 90, angles - 180, angles)
|
||||
|
||||
# Find dominant angle
|
||||
mean_angle = np.mean(angles)
|
||||
|
||||
# Determine orientation status
|
||||
status = 'normal'
|
||||
corrected_angle = mean_angle
|
||||
|
||||
# Check for upside-down text (~180°)
|
||||
if abs(mean_angle) > self.ANGLE_UPSIDE_DOWN_THRESHOLD:
|
||||
status = 'upside_down'
|
||||
corrected_angle = mean_angle + 180 if mean_angle > 0 else mean_angle - 180
|
||||
# Check for sideways text (~90°)
|
||||
elif abs(mean_angle) > self.ANGLE_SIDEWAYS_THRESHOLD:
|
||||
status = 'sideways'
|
||||
|
||||
self.logger.debug(
|
||||
f"Text orientation: angle={mean_angle:.1f}°, status={status}"
|
||||
)
|
||||
|
||||
return corrected_angle, status
|
||||
|
||||
except (IOError, ValueError, cv2.error) as e:
|
||||
self.logger.warning(f"Text orientation detection failed: {e}")
|
||||
return None, 'not_detected'
|
||||
|
||||
def _rotate_image(self, image: Image.Image, angle: float) -> Image.Image:
|
||||
"""
|
||||
Rotate image by specified angle.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
angle: Rotation angle in degrees
|
||||
|
||||
Returns:
|
||||
Rotated PIL Image
|
||||
"""
|
||||
return image.rotate(angle, expand=False, fillcolor='white')
|
||||
|
||||
def _resize_and_compress(self, image: Image.Image) -> bytes:
|
||||
"""
|
||||
Resize image to 1200px on long side and compress to JPEG.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
|
||||
Returns:
|
||||
Compressed JPEG bytes
|
||||
"""
|
||||
# Get current size
|
||||
width, height = image.size
|
||||
max_dim = max(width, height)
|
||||
|
||||
# Only resize if necessary
|
||||
if max_dim > self.LONG_SIDE:
|
||||
scale = self.LONG_SIDE / max_dim
|
||||
new_width = int(width * scale)
|
||||
new_height = int(height * scale)
|
||||
image = image.resize((new_width, new_height), Image.Resampling.LANCZOS)
|
||||
self.logger.debug(
|
||||
f"Resized from {(width, height)} to {(new_width, new_height)}"
|
||||
)
|
||||
|
||||
# Convert to RGB if necessary (for JPEG)
|
||||
if image.mode in ('RGBA', 'LA', 'P'):
|
||||
# Extract alpha channel if present
|
||||
mask = None
|
||||
if image.mode == 'RGBA':
|
||||
alpha = image.split()[3]
|
||||
mask = alpha
|
||||
elif image.mode == 'LA':
|
||||
alpha = image.split()[1]
|
||||
mask = alpha
|
||||
|
||||
rgb_image = Image.new('RGB', image.size, (255, 255, 255))
|
||||
rgb_image.paste(image, mask=mask)
|
||||
image = rgb_image
|
||||
|
||||
# Compress to JPEG
|
||||
output = io.BytesIO()
|
||||
image.save(output, format='JPEG', quality=self.JPEG_QUALITY, optimize=True)
|
||||
compressed_bytes = output.getvalue()
|
||||
|
||||
self.logger.debug(
|
||||
f"Compressed to JPEG: {len(compressed_bytes)} bytes, "
|
||||
f"quality={self.JPEG_QUALITY}"
|
||||
)
|
||||
|
||||
return compressed_bytes
|
||||
|
||||
def _generate_thumbnail(self, image: Image.Image) -> bytes:
|
||||
"""
|
||||
Generate 200px square thumbnail with center crop.
|
||||
|
||||
Args:
|
||||
image: PIL Image
|
||||
|
||||
Returns:
|
||||
Thumbnail JPEG bytes
|
||||
"""
|
||||
try:
|
||||
# Get current size
|
||||
width, height = image.size
|
||||
|
||||
# Center crop to square
|
||||
min_dim = min(width, height)
|
||||
left = (width - min_dim) // 2
|
||||
top = (height - min_dim) // 2
|
||||
right = left + min_dim
|
||||
bottom = top + min_dim
|
||||
|
||||
square = image.crop((left, top, right, bottom))
|
||||
|
||||
# Resize to thumbnail size
|
||||
thumbnail = square.resize(
|
||||
(self.THUMBNAIL_SIZE, self.THUMBNAIL_SIZE),
|
||||
Image.Resampling.LANCZOS,
|
||||
)
|
||||
|
||||
# Convert to RGB if necessary
|
||||
if thumbnail.mode in ('RGBA', 'LA', 'P'):
|
||||
# Extract alpha channel if present
|
||||
mask = None
|
||||
if thumbnail.mode == 'RGBA':
|
||||
alpha = thumbnail.split()[3]
|
||||
mask = alpha
|
||||
elif thumbnail.mode == 'LA':
|
||||
alpha = thumbnail.split()[1]
|
||||
mask = alpha
|
||||
|
||||
rgb_thumbnail = Image.new('RGB', thumbnail.size, (255, 255, 255))
|
||||
rgb_thumbnail.paste(thumbnail, mask=mask)
|
||||
thumbnail = rgb_thumbnail
|
||||
|
||||
# Compress
|
||||
output = io.BytesIO()
|
||||
thumbnail.save(output, format='JPEG', quality=self.JPEG_QUALITY, optimize=True)
|
||||
thumbnail_bytes = output.getvalue()
|
||||
|
||||
self.logger.debug(
|
||||
f"Generated thumbnail: {self.THUMBNAIL_SIZE}x{self.THUMBNAIL_SIZE}, "
|
||||
f"{len(thumbnail_bytes)} bytes"
|
||||
)
|
||||
|
||||
return thumbnail_bytes
|
||||
|
||||
except (IOError, ValueError, cv2.error) as e:
|
||||
self.logger.error(f"Thumbnail generation failed: {e}")
|
||||
return b''
|
||||
191
backend/services/image_storage.py
Normal file
191
backend/services/image_storage.py
Normal file
@@ -0,0 +1,191 @@
|
||||
"""Image storage utilities for managing image files and directory structure."""
|
||||
import logging
|
||||
import re
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
from typing import List, Optional
|
||||
|
||||
# Root directory for all images
|
||||
IMAGES_ROOT = Path("images")
|
||||
|
||||
|
||||
def sanitize_filename(filename: str) -> str:
|
||||
"""
|
||||
Sanitize a filename by removing unsafe characters and limiting length.
|
||||
|
||||
Args:
|
||||
filename: The original filename to sanitize
|
||||
|
||||
Returns:
|
||||
A sanitized filename safe for filesystem storage
|
||||
|
||||
Raises:
|
||||
ValueError: If filename is empty or becomes empty after sanitization
|
||||
"""
|
||||
if not filename or not filename.strip():
|
||||
raise ValueError("Filename cannot be empty")
|
||||
|
||||
# Remove path traversal attempts (/, \, ..)
|
||||
sanitized = re.sub(r'[/\\]', '', filename)
|
||||
sanitized = sanitized.replace('..', '')
|
||||
|
||||
# Remove null bytes and control characters
|
||||
sanitized = re.sub(r'[\x00-\x1f\x7f]', '', sanitized)
|
||||
|
||||
# Remove other unsafe characters but keep dots for extension, dashes, underscores
|
||||
# Allow: alphanumeric, dots, dashes, underscores
|
||||
sanitized = re.sub(r'[^a-zA-Z0-9._\-]', '', sanitized)
|
||||
|
||||
# Convert to lowercase
|
||||
sanitized = sanitized.lower()
|
||||
|
||||
# Check if filename is now empty or only dots
|
||||
if not sanitized or re.match(r'^\.+$', sanitized):
|
||||
raise ValueError("Filename cannot be empty after sanitization")
|
||||
|
||||
# Limit to 255 characters (filesystem limit)
|
||||
if len(sanitized) > 255:
|
||||
# Try to preserve extension if present
|
||||
if '.' in sanitized:
|
||||
parts = sanitized.rsplit('.', 1)
|
||||
name_part = parts[0][:251] # Leave room for .ext
|
||||
ext_part = parts[1]
|
||||
sanitized = f"{name_part}.{ext_part}"
|
||||
else:
|
||||
sanitized = sanitized[:255]
|
||||
|
||||
return sanitized
|
||||
|
||||
|
||||
def get_unique_filename(
|
||||
item_name: str,
|
||||
category: str,
|
||||
existing_files: List[str],
|
||||
variant: str = "original"
|
||||
) -> str:
|
||||
"""
|
||||
Generate a unique filename with collision handling.
|
||||
|
||||
If a file with the sanitized name already exists, appends a UUID suffix.
|
||||
Format: {name}_{uuid_first_8}_{variant}.jpg
|
||||
|
||||
Args:
|
||||
item_name: The item/product name
|
||||
category: The category name
|
||||
existing_files: List of existing filenames in the category directory
|
||||
variant: The image variant (original, thumb, etc.)
|
||||
|
||||
Returns:
|
||||
A unique filename string
|
||||
"""
|
||||
# Sanitize the item name
|
||||
sanitized_name = sanitize_filename(item_name)
|
||||
|
||||
# Build the base filename without UUID
|
||||
base_filename = f"{sanitized_name}_{variant}.jpg"
|
||||
|
||||
# Defensive collision check: handle both pre-lowercased and any-case input
|
||||
# This maintains backward compatibility while supporting the optimization
|
||||
existing_lower = [f.lower() for f in existing_files]
|
||||
if base_filename.lower() not in existing_lower:
|
||||
# No collision
|
||||
return base_filename
|
||||
|
||||
# Collision detected - add UUID suffix
|
||||
uuid_suffix = str(uuid.uuid4()).replace('-', '')[:8]
|
||||
unique_filename = f"{sanitized_name}_{uuid_suffix}_{variant}.jpg"
|
||||
|
||||
return unique_filename
|
||||
|
||||
|
||||
def ensure_image_directories() -> None:
|
||||
"""
|
||||
Ensure image storage directories exist on startup.
|
||||
|
||||
Creates /images/ root and category-specific subdirectories.
|
||||
"""
|
||||
# Create root images directory
|
||||
IMAGES_ROOT.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Create category subdirectories
|
||||
try:
|
||||
categories = get_categories()
|
||||
for category in categories:
|
||||
cat_dir = IMAGES_ROOT / category
|
||||
cat_dir.mkdir(parents=True, exist_ok=True)
|
||||
except Exception:
|
||||
# If get_categories fails (e.g., DB not ready), just create root
|
||||
# Categories will be created on-demand in save_image
|
||||
logging.exception("Failed to ensure image directories")
|
||||
|
||||
|
||||
def save_image(
|
||||
file_bytes: bytes,
|
||||
category: str,
|
||||
filename_base: str,
|
||||
variant: str = "original"
|
||||
) -> str:
|
||||
"""
|
||||
Save an image file to the storage directory.
|
||||
|
||||
Creates category directory if needed, handles collisions with UUID suffix.
|
||||
|
||||
Args:
|
||||
file_bytes: The image file content as bytes
|
||||
category: The category name (e.g., "networking")
|
||||
filename_base: The base filename without extension (e.g., "SFP-LR")
|
||||
variant: The image variant (original, thumb, etc.)
|
||||
|
||||
Returns:
|
||||
The relative path to the saved image (e.g., "/images/networking/sfp-lr_original.jpg")
|
||||
|
||||
Raises:
|
||||
ValueError: If category or filename_base is invalid
|
||||
"""
|
||||
if not category or not category.strip():
|
||||
raise ValueError("Category cannot be empty")
|
||||
|
||||
if not filename_base or not filename_base.strip():
|
||||
raise ValueError("Filename base cannot be empty")
|
||||
|
||||
# Sanitize category
|
||||
sanitized_category = sanitize_filename(category)
|
||||
|
||||
# Create category directory
|
||||
cat_dir = IMAGES_ROOT / sanitized_category
|
||||
cat_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Get existing files in the category
|
||||
existing_files = [f.name for f in cat_dir.iterdir() if f.is_file()]
|
||||
|
||||
# Pre-lowercase existing filenames to avoid redundant conversions in get_unique_filename
|
||||
existing_files_lower = [f.lower() for f in existing_files]
|
||||
|
||||
# Get unique filename
|
||||
unique_filename = get_unique_filename(filename_base, sanitized_category, existing_files_lower, variant)
|
||||
|
||||
# Write file
|
||||
file_path = cat_dir / unique_filename
|
||||
try:
|
||||
file_path.write_bytes(file_bytes)
|
||||
except OSError as e:
|
||||
raise IOError(f"Failed to write image to {file_path}: {str(e)}")
|
||||
|
||||
# Return relative path with forward slashes
|
||||
relative_path = f"/images/{sanitized_category}/{unique_filename}"
|
||||
return relative_path
|
||||
|
||||
|
||||
def get_categories() -> List[str]:
|
||||
"""
|
||||
Get list of categories from the database.
|
||||
|
||||
This is a stub that will be called from ensure_image_directories.
|
||||
In production, this should query the database for categories.
|
||||
|
||||
Returns:
|
||||
List of category names
|
||||
"""
|
||||
# This will be implemented to query the database
|
||||
# For now, return empty list (handled in ensure_image_directories)
|
||||
return []
|
||||
393
backend/tests/test_image_processing.py
Normal file
393
backend/tests/test_image_processing.py
Normal file
@@ -0,0 +1,393 @@
|
||||
"""
|
||||
Test suite for OpenCV-based image processing pipeline.
|
||||
|
||||
Tests cover:
|
||||
- EXIF orientation detection and rotation
|
||||
- OpenCV smart cropping
|
||||
- Text orientation detection
|
||||
- Resize and compression
|
||||
- Thumbnail generation
|
||||
- Fallback to Pillow
|
||||
- File size validation
|
||||
- Edge cases (corrupted images, no contours, etc.)
|
||||
"""
|
||||
|
||||
import io
|
||||
import pytest
|
||||
from PIL import Image, PngImagePlugin
|
||||
import piexif
|
||||
import numpy as np
|
||||
from backend.services.image_processing import ImageProcessor
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def processor():
|
||||
"""Create ImageProcessor instance."""
|
||||
return ImageProcessor()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_image_rgb():
|
||||
"""Create a simple RGB test image (100x100 red square)."""
|
||||
img = Image.new('RGB', (100, 100), color='red')
|
||||
output = io.BytesIO()
|
||||
img.save(output, format='JPEG', quality=85)
|
||||
return output.getvalue()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_image_with_object():
|
||||
"""Create test image with a distinct object (100x100, white bg, black square)."""
|
||||
img = Image.new('RGB', (100, 100), color='white')
|
||||
# Draw a black square in center
|
||||
pixels = img.load()
|
||||
for x in range(30, 70):
|
||||
for y in range(30, 70):
|
||||
pixels[x, y] = (0, 0, 0)
|
||||
output = io.BytesIO()
|
||||
img.save(output, format='JPEG', quality=85)
|
||||
return output.getvalue()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_image_with_exif():
|
||||
"""Create a test image with EXIF orientation tag."""
|
||||
img = Image.new('RGB', (100, 50), color='blue') # Wide image
|
||||
|
||||
# Create EXIF data with orientation = 6 (rotate 270 CW)
|
||||
exif_dict = {
|
||||
"0th": {piexif.ImageIFD.Orientation: 6}
|
||||
}
|
||||
exif_bytes = piexif.dump(exif_dict)
|
||||
|
||||
output = io.BytesIO()
|
||||
img.save(output, format='JPEG', quality=85, exif=exif_bytes)
|
||||
return output.getvalue()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def large_file(sample_image_rgb):
|
||||
"""Create a file larger than 10MB limit."""
|
||||
# Repeat image bytes to create large file
|
||||
return sample_image_rgb * 2_000_000 # ~12MB
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def corrupted_image():
|
||||
"""Create corrupted image data."""
|
||||
return b'NOT_VALID_IMAGE_DATA_' * 100
|
||||
|
||||
|
||||
class TestExifRotation:
|
||||
"""Test EXIF orientation detection and rotation."""
|
||||
|
||||
def test_extract_exif_orientation_with_exif(self, processor, sample_image_with_exif):
|
||||
"""Test extracting EXIF orientation from image."""
|
||||
image = Image.open(io.BytesIO(sample_image_with_exif))
|
||||
orientation = processor._extract_exif_orientation(image)
|
||||
|
||||
# Should detect orientation tag (value 6)
|
||||
assert orientation is not None
|
||||
assert orientation == 6
|
||||
|
||||
def test_extract_exif_orientation_without_exif(self, processor, sample_image_rgb):
|
||||
"""Test handling image without EXIF data."""
|
||||
image = Image.open(io.BytesIO(sample_image_rgb))
|
||||
orientation = processor._extract_exif_orientation(image)
|
||||
|
||||
# Should gracefully return None
|
||||
assert orientation is None
|
||||
|
||||
def test_rotate_by_orientation_identity(self, processor):
|
||||
"""Test rotation with orientation=1 (no rotation needed)."""
|
||||
img = Image.new('RGB', (100, 50), color='red')
|
||||
rotated = processor._rotate_by_orientation(img, 1)
|
||||
|
||||
assert rotated.size == (100, 50)
|
||||
|
||||
def test_rotate_by_orientation_180(self, processor):
|
||||
"""Test rotation with orientation=3 (180°)."""
|
||||
img = Image.new('RGB', (100, 50), color='red')
|
||||
rotated = processor._rotate_by_orientation(img, 3)
|
||||
|
||||
assert rotated.size == (100, 50)
|
||||
|
||||
def test_rotate_by_orientation_90(self, processor):
|
||||
"""Test rotation with orientation=6 (270° CW = 90° CCW)."""
|
||||
img = Image.new('RGB', (100, 50), color='red')
|
||||
rotated = processor._rotate_by_orientation(img, 6)
|
||||
|
||||
# After 270° CW, dimensions swap: (100, 50) -> (50, 100)
|
||||
assert rotated.size == (50, 100)
|
||||
|
||||
|
||||
class TestSmartCrop:
|
||||
"""Test OpenCV-based smart cropping."""
|
||||
|
||||
def test_smart_crop_detects_object(self, processor, sample_image_with_object):
|
||||
"""Test that smart crop detects and bounds main object."""
|
||||
image = Image.open(io.BytesIO(sample_image_with_object))
|
||||
result = processor._smart_crop_opencv(image)
|
||||
|
||||
assert result is not None
|
||||
cropped, crop_size = result
|
||||
|
||||
# Should crop to a bounding box around the black square
|
||||
assert cropped is not None
|
||||
assert crop_size is not None
|
||||
# Crop should be smaller than original (with 10% padding)
|
||||
assert crop_size[0] < 100 or crop_size[1] < 100
|
||||
|
||||
def test_smart_crop_handles_no_contours(self, processor):
|
||||
"""Test smart crop gracefully returns None when no contours found."""
|
||||
# Create a plain image with no edges
|
||||
img = Image.new('RGB', (100, 100), color='gray')
|
||||
result = processor._smart_crop_opencv(img)
|
||||
|
||||
# Should return None if no significant contours
|
||||
assert result is None
|
||||
|
||||
def test_smart_crop_respects_padding(self, processor, sample_image_with_object):
|
||||
"""Test that smart crop applies 10% padding around bounds."""
|
||||
image = Image.open(io.BytesIO(sample_image_with_object))
|
||||
result = processor._smart_crop_opencv(image)
|
||||
|
||||
# Should include padding without exceeding image bounds
|
||||
assert result is not None
|
||||
cropped, _ = result
|
||||
assert cropped.size[0] > 0
|
||||
assert cropped.size[1] > 0
|
||||
|
||||
|
||||
class TestTextOrientation:
|
||||
"""Test text orientation detection using Hough lines."""
|
||||
|
||||
def test_text_orientation_normal(self, processor, sample_image_rgb):
|
||||
"""Test text orientation detection on normal image."""
|
||||
image = Image.open(io.BytesIO(sample_image_rgb))
|
||||
angle, status = processor._detect_text_orientation(image)
|
||||
|
||||
# May detect angle or not (depends on image content)
|
||||
# Status should be one of expected values
|
||||
assert status in ['normal', 'upside_down', 'sideways', 'not_detected']
|
||||
|
||||
def test_text_orientation_handles_plain_image(self, processor):
|
||||
"""Test text orientation on plain image with no lines."""
|
||||
img = Image.new('RGB', (100, 100), color='white')
|
||||
|
||||
angle, status = processor._detect_text_orientation(img)
|
||||
|
||||
# Should handle gracefully
|
||||
assert status == 'not_detected'
|
||||
assert angle is None
|
||||
|
||||
|
||||
class TestResizeAndCompress:
|
||||
"""Test image resizing and JPEG compression."""
|
||||
|
||||
def test_resize_and_compress_large_image(self, processor):
|
||||
"""Test resizing image larger than 1200px."""
|
||||
# Create a 2400x2400 image
|
||||
img = Image.new('RGB', (2400, 2400), color='red')
|
||||
|
||||
compressed = processor._resize_and_compress(img)
|
||||
|
||||
# Should return JPEG bytes
|
||||
assert isinstance(compressed, bytes)
|
||||
assert len(compressed) > 0
|
||||
|
||||
# Decompress and check size
|
||||
decompressed = Image.open(io.BytesIO(compressed))
|
||||
assert decompressed.size[0] <= 1200
|
||||
assert decompressed.size[1] <= 1200
|
||||
|
||||
def test_resize_and_compress_small_image(self, processor):
|
||||
"""Test resizing image smaller than 1200px (should not upscale)."""
|
||||
img = Image.new('RGB', (500, 500), color='red')
|
||||
|
||||
compressed = processor._resize_and_compress(img)
|
||||
|
||||
# Should still return valid JPEG
|
||||
assert isinstance(compressed, bytes)
|
||||
assert len(compressed) > 0
|
||||
|
||||
# Should not upscale
|
||||
decompressed = Image.open(io.BytesIO(compressed))
|
||||
assert decompressed.size[0] <= 500
|
||||
assert decompressed.size[1] <= 500
|
||||
|
||||
def test_resize_and_compress_jpeg_quality(self, processor):
|
||||
"""Test that compression uses 85% quality."""
|
||||
img = Image.new('RGB', (800, 600), color='red')
|
||||
|
||||
compressed = processor._resize_and_compress(img)
|
||||
|
||||
# File should be compressed (not raw uncompressed image)
|
||||
# 800x600x3 = 1.44MB uncompressed, should be much smaller at 85% quality
|
||||
assert len(compressed) < 500_000 # Should be < 500KB
|
||||
|
||||
def test_resize_and_compress_rgba_to_rgb(self, processor):
|
||||
"""Test that RGBA images are converted to RGB."""
|
||||
# Create RGBA image
|
||||
img = Image.new('RGBA', (500, 500), color=(255, 0, 0, 255))
|
||||
|
||||
compressed = processor._resize_and_compress(img)
|
||||
|
||||
# Should succeed and return valid JPEG
|
||||
assert isinstance(compressed, bytes)
|
||||
decompressed = Image.open(io.BytesIO(compressed))
|
||||
assert decompressed.mode == 'RGB'
|
||||
|
||||
|
||||
class TestThumbnailGeneration:
|
||||
"""Test thumbnail generation."""
|
||||
|
||||
def test_generate_thumbnail_200px_square(self, processor):
|
||||
"""Test thumbnail is exactly 200x200 pixels."""
|
||||
img = Image.new('RGB', (500, 500), color='red')
|
||||
|
||||
thumbnail = processor._generate_thumbnail(img)
|
||||
|
||||
# Should return JPEG bytes
|
||||
assert isinstance(thumbnail, bytes)
|
||||
assert len(thumbnail) > 0
|
||||
|
||||
# Should be exactly 200x200
|
||||
thumb_img = Image.open(io.BytesIO(thumbnail))
|
||||
assert thumb_img.size == (200, 200)
|
||||
|
||||
def test_generate_thumbnail_center_crop(self, processor):
|
||||
"""Test thumbnail uses center crop for non-square images."""
|
||||
# Create wide image (400x200)
|
||||
img = Image.new('RGB', (400, 200), color='red')
|
||||
|
||||
thumbnail = processor._generate_thumbnail(img)
|
||||
|
||||
# Should be 200x200 (center cropped then resized)
|
||||
thumb_img = Image.open(io.BytesIO(thumbnail))
|
||||
assert thumb_img.size == (200, 200)
|
||||
|
||||
def test_generate_thumbnail_small_image(self, processor):
|
||||
"""Test thumbnail from very small image."""
|
||||
# Create small image (50x50)
|
||||
img = Image.new('RGB', (50, 50), color='red')
|
||||
|
||||
thumbnail = processor._generate_thumbnail(img)
|
||||
|
||||
# Should still generate 200x200 thumbnail
|
||||
thumb_img = Image.open(io.BytesIO(thumbnail))
|
||||
assert thumb_img.size == (200, 200)
|
||||
|
||||
def test_generate_thumbnail_rgba_to_rgb(self, processor):
|
||||
"""Test thumbnail converts RGBA to RGB."""
|
||||
img = Image.new('RGBA', (500, 500), color=(255, 0, 0, 255))
|
||||
|
||||
thumbnail = processor._generate_thumbnail(img)
|
||||
|
||||
# Should convert to RGB
|
||||
thumb_img = Image.open(io.BytesIO(thumbnail))
|
||||
assert thumb_img.mode == 'RGB'
|
||||
|
||||
|
||||
class TestProcessPhoto:
|
||||
"""Test main process_photo method."""
|
||||
|
||||
def test_process_photo_success(self, processor, sample_image_rgb):
|
||||
"""Test successful photo processing."""
|
||||
result = processor.process_photo(sample_image_rgb)
|
||||
|
||||
assert result['status'] == 'success'
|
||||
assert result['cropped_image_bytes'] is not None
|
||||
assert result['thumbnail_bytes'] is not None
|
||||
assert result['original_size'] is not None
|
||||
assert result['metadata'] is not None
|
||||
|
||||
def test_process_photo_file_size_validation(self, processor, large_file):
|
||||
"""Test that files > 10MB are rejected."""
|
||||
result = processor.process_photo(large_file)
|
||||
|
||||
assert result['status'] == 'error'
|
||||
assert 'File too large' in result['error']
|
||||
assert result['cropped_image_bytes'] is None
|
||||
|
||||
def test_process_photo_with_exif(self, processor, sample_image_with_exif):
|
||||
"""Test photo processing with EXIF orientation."""
|
||||
result = processor.process_photo(sample_image_with_exif)
|
||||
|
||||
assert result['status'] == 'success'
|
||||
assert result['metadata']['exif_orientation'] == 6
|
||||
|
||||
def test_process_photo_with_manual_crop(self, processor, sample_image_rgb):
|
||||
"""Test photo processing with manual crop bounds."""
|
||||
crop_bounds = {'x': 10, 'y': 10, 'width': 50, 'height': 50}
|
||||
result = processor.process_photo(sample_image_rgb, crop_bounds=crop_bounds)
|
||||
|
||||
assert result['status'] == 'success'
|
||||
assert result['metadata']['crop_method'] == 'manual'
|
||||
assert result['crop_size'] == (50, 50)
|
||||
|
||||
def test_process_photo_fallback_to_pillow(self, processor, sample_image_rgb):
|
||||
"""Test fallback to Pillow if OpenCV fails."""
|
||||
result = processor.process_photo(sample_image_rgb)
|
||||
|
||||
assert result['status'] == 'success'
|
||||
# Crop method should be one of: opencv, pillow, manual, or none
|
||||
assert result['metadata']['crop_method'] in [
|
||||
'opencv',
|
||||
'pillow',
|
||||
'manual',
|
||||
'none',
|
||||
]
|
||||
|
||||
def test_process_photo_corrupted_image(self, processor, corrupted_image):
|
||||
"""Test handling of corrupted image data."""
|
||||
result = processor.process_photo(corrupted_image)
|
||||
|
||||
assert result['status'] == 'error'
|
||||
assert result['cropped_image_bytes'] is None
|
||||
assert result['thumbnail_bytes'] is None
|
||||
|
||||
def test_process_photo_empty_file(self, processor):
|
||||
"""Test handling of empty file."""
|
||||
result = processor.process_photo(b'')
|
||||
|
||||
assert result['status'] == 'error'
|
||||
|
||||
|
||||
class TestIntegration:
|
||||
"""Integration tests for full image processing pipeline."""
|
||||
|
||||
def test_end_to_end_processing(self, processor, sample_image_with_exif):
|
||||
"""Test complete image processing pipeline."""
|
||||
result = processor.process_photo(sample_image_with_exif)
|
||||
|
||||
# All required fields should be present
|
||||
assert 'status' in result
|
||||
assert 'cropped_image_bytes' in result
|
||||
assert 'thumbnail_bytes' in result
|
||||
assert 'original_size' in result
|
||||
assert 'crop_size' in result
|
||||
assert 'text_angle' in result
|
||||
assert 'metadata' in result
|
||||
|
||||
# All metadata fields should be present
|
||||
metadata = result['metadata']
|
||||
assert 'exif_orientation' in metadata
|
||||
assert 'crop_method' in metadata
|
||||
assert 'file_size_bytes' in metadata
|
||||
|
||||
def test_multiple_images_processing(self, processor, sample_image_rgb):
|
||||
"""Test processing multiple images."""
|
||||
for _ in range(3):
|
||||
result = processor.process_photo(sample_image_rgb)
|
||||
assert result['status'] == 'success'
|
||||
|
||||
def test_processing_with_all_options(self, processor, sample_image_with_exif):
|
||||
"""Test processing with manual crop bounds."""
|
||||
crop_bounds = {'x': 5, 'y': 5, 'width': 40, 'height': 40}
|
||||
result = processor.process_photo(sample_image_with_exif, crop_bounds=crop_bounds)
|
||||
|
||||
assert result['status'] == 'success'
|
||||
assert result['crop_size'] == (40, 40)
|
||||
assert result['metadata']['exif_orientation'] == 6
|
||||
assert result['metadata']['crop_method'] == 'manual'
|
||||
273
backend/tests/test_image_storage.py
Normal file
273
backend/tests/test_image_storage.py
Normal file
@@ -0,0 +1,273 @@
|
||||
"""Tests for image storage utilities."""
|
||||
import pytest
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, MagicMock
|
||||
|
||||
# Import will work after we create the module
|
||||
from backend.services.image_storage import (
|
||||
sanitize_filename,
|
||||
get_unique_filename,
|
||||
ensure_image_directories,
|
||||
save_image,
|
||||
)
|
||||
|
||||
|
||||
class TestSanitizeFilename:
|
||||
"""Test filename sanitization."""
|
||||
|
||||
def test_removes_unsafe_characters(self):
|
||||
"""Should remove path traversal and unsafe chars."""
|
||||
# Test path traversal attempts - ".." is removed
|
||||
assert sanitize_filename("../../etc/passwd") == "etcpasswd"
|
||||
assert sanitize_filename("file..txt") == "filetxt" # ".." removed (path traversal)
|
||||
assert sanitize_filename("file/with/slashes.jpg") == "filewithslashes.jpg"
|
||||
assert sanitize_filename("file\\with\\backslashes.jpg") == "filewithbackslashes.jpg"
|
||||
|
||||
def test_converts_to_lowercase(self):
|
||||
"""Should convert to lowercase."""
|
||||
assert sanitize_filename("MyFile.JPG") == "myfile.jpg"
|
||||
assert sanitize_filename("UPPERCASE.PNG") == "uppercase.png"
|
||||
|
||||
def test_limits_length_to_255(self):
|
||||
"""Should limit filename to 255 characters."""
|
||||
long_name = "a" * 300 + ".jpg"
|
||||
result = sanitize_filename(long_name)
|
||||
assert len(result) <= 255
|
||||
|
||||
def test_preserves_meaningful_names(self):
|
||||
"""Should preserve readable names with valid chars."""
|
||||
assert sanitize_filename("SFP-LR_original.jpg") == "sfp-lr_original.jpg"
|
||||
assert sanitize_filename("networking-equipment-2024.jpg") == "networking-equipment-2024.jpg"
|
||||
assert sanitize_filename("item_123_v2.png") == "item_123_v2.png"
|
||||
|
||||
def test_removes_null_and_control_chars(self):
|
||||
"""Should remove null bytes and control characters."""
|
||||
assert sanitize_filename("file\x00null.jpg") == "filenull.jpg"
|
||||
assert sanitize_filename("file\n\r\t.jpg") == "file.jpg"
|
||||
|
||||
def test_preserves_extension(self):
|
||||
"""Should preserve file extension after sanitization."""
|
||||
assert sanitize_filename("My_File.JPG").endswith(".jpg")
|
||||
assert sanitize_filename("test.PNG").endswith(".png")
|
||||
assert sanitize_filename("doc.PDF").endswith(".pdf")
|
||||
|
||||
def test_empty_filename_raises_error(self):
|
||||
"""Should raise ValueError for empty filenames."""
|
||||
with pytest.raises(ValueError):
|
||||
sanitize_filename("")
|
||||
|
||||
def test_filename_only_extension_raises_error(self):
|
||||
"""Should raise ValueError for filename that becomes empty after sanitization."""
|
||||
# ".jpg" becomes ".jpg" which is valid (dot + extension)
|
||||
# Test with only special chars that result in empty after sanitization
|
||||
with pytest.raises(ValueError):
|
||||
sanitize_filename("...")
|
||||
|
||||
|
||||
class TestGetUniqueFilename:
|
||||
"""Test collision detection and UUID suffix generation."""
|
||||
|
||||
def test_no_collision_returns_base_name(self):
|
||||
"""Should return base name when no collision exists."""
|
||||
result = get_unique_filename("SFP-LR", "networking", [])
|
||||
assert result == "sfp-lr_original.jpg" # Sanitized to lowercase
|
||||
|
||||
def test_collision_adds_uuid_suffix(self):
|
||||
"""Should add UUID suffix when collision detected."""
|
||||
existing = ["sfp-lr_original.jpg"]
|
||||
result = get_unique_filename("SFP-LR", "networking", existing)
|
||||
# Format: {name}_{uuid_first_8}_{variant}.{ext}
|
||||
assert result.startswith("sfp-lr_")
|
||||
assert "_original.jpg" in result
|
||||
assert len(result.split("_")[1]) == 8 # UUID first 8 chars
|
||||
|
||||
def test_uuid_suffix_is_valid_hex(self):
|
||||
"""UUID suffix should be valid hex characters."""
|
||||
existing = ["sfp-lr_original.jpg"]
|
||||
result = get_unique_filename("SFP-LR", "networking", existing)
|
||||
parts = result.split("_")
|
||||
uuid_part = parts[1]
|
||||
# Should be valid hex string
|
||||
try:
|
||||
int(uuid_part, 16)
|
||||
except ValueError:
|
||||
pytest.fail(f"UUID part '{uuid_part}' is not valid hex")
|
||||
|
||||
def test_multiple_collisions_generates_new_uuid(self):
|
||||
"""Each collision should generate a different UUID suffix."""
|
||||
existing = [
|
||||
"sfp-lr_original.jpg",
|
||||
"sfp-lr_a1b2c3_original.jpg",
|
||||
"sfp-lr_d4e5f6_original.jpg"
|
||||
]
|
||||
result = get_unique_filename("SFP-LR", "networking", existing)
|
||||
# Should not match any existing file
|
||||
assert result not in existing
|
||||
|
||||
def test_case_insensitive_collision_detection(self):
|
||||
"""Should detect collisions case-insensitively."""
|
||||
existing = ["SFP-LR_ORIGINAL.JPG"] # Different case
|
||||
result = get_unique_filename("SFP-LR", "networking", existing)
|
||||
# Should detect collision despite case difference
|
||||
assert "_original.jpg" in result
|
||||
assert result != "SFP-LR_original.jpg"
|
||||
|
||||
def test_different_variants_in_collision_detection(self):
|
||||
"""Should treat original and thumb as different variants."""
|
||||
# original variant
|
||||
result1 = get_unique_filename("SFP-LR", "networking", [], variant="original")
|
||||
assert "_original.jpg" in result1
|
||||
|
||||
# thumb variant
|
||||
result2 = get_unique_filename("SFP-LR", "networking", [], variant="thumb")
|
||||
assert "_thumb.jpg" in result2
|
||||
|
||||
|
||||
class TestEnsureImageDirectories:
|
||||
"""Test directory creation on startup."""
|
||||
|
||||
def test_creates_images_root_directory(self):
|
||||
"""Should create /images/ directory if it doesn't exist."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
assert not images_dir.exists()
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
ensure_image_directories()
|
||||
assert images_dir.exists()
|
||||
assert images_dir.is_dir()
|
||||
|
||||
def test_creates_category_subdirectories(self):
|
||||
"""Should create category-specific subdirectories."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
categories = ["networking", "electronics", "mechanical"]
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir), \
|
||||
patch("backend.services.image_storage.get_categories") as mock_get_cats:
|
||||
mock_get_cats.return_value = categories
|
||||
|
||||
ensure_image_directories()
|
||||
|
||||
for cat in categories:
|
||||
cat_dir = images_dir / cat
|
||||
assert cat_dir.exists(), f"Category directory {cat_dir} not created"
|
||||
assert cat_dir.is_dir()
|
||||
|
||||
def test_idempotent_directory_creation(self):
|
||||
"""Should succeed if directories already exist."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
# Should not raise error
|
||||
ensure_image_directories()
|
||||
assert images_dir.exists()
|
||||
|
||||
|
||||
class TestSaveImage:
|
||||
"""Test image file saving."""
|
||||
|
||||
def test_saves_image_to_correct_path(self):
|
||||
"""Should save image bytes to /images/{category}/{filename}."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
image_bytes = b"fake image data"
|
||||
category = "networking"
|
||||
filename_base = "SFP-LR"
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
result_path = save_image(image_bytes, category, filename_base, "original")
|
||||
|
||||
# Check file was created
|
||||
expected_file = images_dir / category / "sfp-lr_original.jpg"
|
||||
assert expected_file.exists()
|
||||
assert expected_file.read_bytes() == image_bytes
|
||||
|
||||
def test_returns_relative_path(self):
|
||||
"""Should return relative path like /images/category/filename."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
image_bytes = b"test"
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
result = save_image(image_bytes, "networking", "test-item", "original")
|
||||
|
||||
assert result.startswith("/images/networking/")
|
||||
assert result.endswith("_original.jpg")
|
||||
|
||||
def test_creates_category_directory_if_missing(self):
|
||||
"""Should create category directory if it doesn't exist."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
image_bytes = b"test"
|
||||
category = "new_category"
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
result = save_image(image_bytes, category, "test", "original")
|
||||
|
||||
cat_dir = images_dir / category
|
||||
assert cat_dir.exists()
|
||||
|
||||
def test_handles_collision_during_save(self):
|
||||
"""Should handle filename collision by adding UUID suffix."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
cat_dir = images_dir / "networking"
|
||||
cat_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Create first file
|
||||
(cat_dir / "sfp-lr_original.jpg").write_bytes(b"first")
|
||||
|
||||
# Try to save with same name
|
||||
image_bytes = b"second"
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
result = save_image(image_bytes, "networking", "SFP-LR", "original")
|
||||
|
||||
# Should have created a different file
|
||||
assert result != "/images/networking/sfp-lr_original.jpg"
|
||||
# New file should exist with UUID suffix
|
||||
assert "_original.jpg" in result
|
||||
# Verify the file was actually saved
|
||||
# Result is like "/images/networking/sfp-lr_xxx_original.jpg"
|
||||
# So relative path from tmpdir is just "images/networking/..."
|
||||
result_file = Path(tmpdir) / result.lstrip("/")
|
||||
assert result_file.exists()
|
||||
assert result_file.read_bytes() == image_bytes
|
||||
|
||||
def test_different_variants_save_separately(self):
|
||||
"""Should save original and thumb variants to different files."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
images_dir = Path(tmpdir) / "images"
|
||||
images_dir.mkdir(parents=True, exist_ok=True)
|
||||
cat_dir = images_dir / "networking"
|
||||
cat_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
original_bytes = b"original image data"
|
||||
thumb_bytes = b"thumbnail data"
|
||||
|
||||
with patch("backend.services.image_storage.IMAGES_ROOT", images_dir):
|
||||
original_path = save_image(original_bytes, "networking", "SFP-LR", "original")
|
||||
thumb_path = save_image(thumb_bytes, "networking", "SFP-LR", "thumb")
|
||||
|
||||
# Paths should be different
|
||||
assert original_path != thumb_path
|
||||
# Check format - should have correct variants
|
||||
assert "_original.jpg" in original_path
|
||||
assert "_thumb.jpg" in thumb_path
|
||||
# Both should exist
|
||||
original_file = Path(tmpdir) / original_path.lstrip("/")
|
||||
thumb_file = Path(tmpdir) / thumb_path.lstrip("/")
|
||||
assert original_file.exists()
|
||||
assert thumb_file.exists()
|
||||
# Content should be different
|
||||
assert original_file.read_bytes() == original_bytes
|
||||
assert thumb_file.read_bytes() == thumb_bytes
|
||||
376
backend/tests/test_photo_endpoints.py
Normal file
376
backend/tests/test_photo_endpoints.py
Normal file
@@ -0,0 +1,376 @@
|
||||
"""
|
||||
Comprehensive test suite for photo upload/replace API endpoints.
|
||||
|
||||
Tests cover:
|
||||
- Upload success: photo saved, DB updated, URLs returned
|
||||
- File replacement: old file deleted, new file saved
|
||||
- Auth: user can upload, guest cannot
|
||||
- Invalid file: wrong MIME type rejected
|
||||
- File too large: >10MB rejected with 413
|
||||
- Item not found: 404
|
||||
- GET returns photo URLs when set, null when not
|
||||
"""
|
||||
|
||||
import io
|
||||
import json
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch, MagicMock
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from backend import models, auth
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# FIXTURES
|
||||
# ============================================================================
|
||||
|
||||
@pytest.fixture
|
||||
def test_item(test_db: Session):
|
||||
"""Create a test item in the database."""
|
||||
item = models.Item(
|
||||
id=1,
|
||||
barcode="TEST123",
|
||||
name="Test Item",
|
||||
category="networking",
|
||||
quantity=5.0
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
return item
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_image():
|
||||
"""Create a minimal valid JPEG image for testing."""
|
||||
from PIL import Image
|
||||
|
||||
# Create a simple 100x100 red image
|
||||
img = Image.new('RGB', (100, 100), color='red')
|
||||
img_bytes = io.BytesIO()
|
||||
img.save(img_bytes, format='JPEG')
|
||||
img_bytes.seek(0)
|
||||
return img_bytes.getvalue()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def large_image():
|
||||
"""Create an image > 10MB to test size limit."""
|
||||
from PIL import Image
|
||||
|
||||
img = Image.new('RGB', (100, 100), color='blue')
|
||||
img_bytes = io.BytesIO()
|
||||
img.save(img_bytes, format='JPEG')
|
||||
img_bytes.seek(0)
|
||||
small_img = img_bytes.getvalue()
|
||||
|
||||
# Pad it to >10MB
|
||||
large_img = small_img + b'X' * (11 * 1024 * 1024)
|
||||
return large_img
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def invalid_file():
|
||||
"""Create an invalid file (text instead of image)."""
|
||||
return b"This is not an image file"
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: UPLOAD SUCCESS
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_success(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test successful photo upload."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["status"] == "ok"
|
||||
assert "photo" in data
|
||||
assert "thumbnail_url" in data["photo"]
|
||||
assert "full_url" in data["photo"]
|
||||
assert "uploaded_at" in data["photo"]
|
||||
|
||||
# Verify DB was updated
|
||||
updated_item = test_db.query(models.Item).filter(
|
||||
models.Item.id == test_item.id
|
||||
).first()
|
||||
assert updated_item.photo_path is not None
|
||||
assert updated_item.photo_thumbnail_path is not None
|
||||
assert updated_item.photo_upload_date is not None
|
||||
|
||||
# Cleanup
|
||||
Path(updated_item.photo_path.lstrip("/")).unlink()
|
||||
Path(updated_item.photo_thumbnail_path.lstrip("/")).unlink()
|
||||
|
||||
|
||||
def test_upload_photo_creates_files(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test that photo upload creates image files on disk."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
|
||||
# Check that files exist
|
||||
original_path = Path(data["photo"]["full_url"].lstrip("/"))
|
||||
thumbnail_path = Path(data["photo"]["thumbnail_url"].lstrip("/"))
|
||||
|
||||
assert original_path.exists(), f"Original image not found at {original_path}"
|
||||
assert thumbnail_path.exists(), f"Thumbnail not found at {thumbnail_path}"
|
||||
|
||||
# Cleanup
|
||||
original_path.unlink()
|
||||
thumbnail_path.unlink()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: FILE REPLACEMENT
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_replace_existing(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test photo replacement with replace_existing=true."""
|
||||
# First upload
|
||||
response1 = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test1.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
assert response1.status_code == 200
|
||||
old_data = response1.json()
|
||||
first_url = old_data["photo"]["full_url"]
|
||||
|
||||
# Create different image for second upload
|
||||
from PIL import Image
|
||||
img2 = Image.new('RGB', (150, 150), color='green')
|
||||
img2_bytes = io.BytesIO()
|
||||
img2.save(img2_bytes, format='JPEG')
|
||||
img2_bytes.seek(0)
|
||||
|
||||
# Second upload with replace_existing=true
|
||||
response2 = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
data={"replace_existing": "true"},
|
||||
files={"file": ("test2.jpg", io.BytesIO(img2_bytes.getvalue()), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response2.status_code == 200
|
||||
new_data = response2.json()
|
||||
second_url = new_data["photo"]["full_url"]
|
||||
|
||||
# URL should have changed (file was replaced)
|
||||
assert first_url != second_url, "Photo URL should change when replacing"
|
||||
|
||||
# New files should exist
|
||||
new_original = Path(new_data["photo"]["full_url"].lstrip("/"))
|
||||
new_thumbnail = Path(new_data["photo"]["thumbnail_url"].lstrip("/"))
|
||||
assert new_original.exists()
|
||||
assert new_thumbnail.exists()
|
||||
|
||||
# Cleanup
|
||||
new_original.unlink()
|
||||
new_thumbnail.unlink()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: AUTHENTICATION
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_requires_auth(test_client: TestClient, test_item, sample_image):
|
||||
"""Test that unauthenticated upload fails with 401."""
|
||||
response = test_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 401 # No auth header (unauthorized)
|
||||
|
||||
|
||||
def test_upload_photo_with_valid_token(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test that authenticated user can upload."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 200
|
||||
|
||||
# Cleanup
|
||||
data = response.json()
|
||||
Path(data["photo"]["full_url"].lstrip("/")).unlink()
|
||||
Path(data["photo"]["thumbnail_url"].lstrip("/")).unlink()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: FILE VALIDATION
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_invalid_mime_type(user_client: TestClient, test_item, invalid_file):
|
||||
"""Test that invalid MIME type is rejected."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.txt", io.BytesIO(invalid_file), "text/plain")}
|
||||
)
|
||||
|
||||
assert response.status_code == 415 # Unsupported Media Type
|
||||
data = response.json()
|
||||
assert "File type not allowed" in data["detail"]
|
||||
|
||||
|
||||
def test_upload_photo_accepted_mime_types(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test all accepted MIME types."""
|
||||
mime_types = ["image/jpeg", "image/png", "image/webp", "image/gif"]
|
||||
|
||||
for mime_type in mime_types:
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), mime_type)}
|
||||
)
|
||||
|
||||
assert response.status_code == 200, f"Failed for {mime_type}"
|
||||
|
||||
# Cleanup
|
||||
data = response.json()
|
||||
Path(data["photo"]["full_url"].lstrip("/")).unlink()
|
||||
Path(data["photo"]["thumbnail_url"].lstrip("/")).unlink()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: FILE SIZE LIMITS
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_too_large(user_client: TestClient, test_item, large_image):
|
||||
"""Test that files > 10MB are rejected with 413."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("large.jpg", io.BytesIO(large_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 413 # Payload Too Large
|
||||
data = response.json()
|
||||
assert "exceeds 10MB limit" in data["detail"]
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: ITEM NOT FOUND
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_item_not_found(user_client: TestClient, sample_image):
|
||||
"""Test that upload to non-existent item returns 404."""
|
||||
response = user_client.post(
|
||||
f"/items/99999/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
|
||||
assert response.status_code == 404
|
||||
data = response.json()
|
||||
assert "Item not found" in data["detail"]
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: GET ENDPOINT PHOTO RESPONSE
|
||||
# ============================================================================
|
||||
|
||||
def test_get_item_includes_photo_urls(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test that GET /items/{id} includes photo URLs when photo is set."""
|
||||
# First upload a photo
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
assert response.status_code == 200
|
||||
|
||||
# Get the item
|
||||
response = user_client.get(f"/items/{test_item.id}")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert "photo" in data
|
||||
assert data["photo"] is not None
|
||||
assert "thumbnail_url" in data["photo"]
|
||||
assert "full_url" in data["photo"]
|
||||
assert "uploaded_at" in data["photo"]
|
||||
|
||||
# Cleanup
|
||||
Path(data["photo"]["full_url"].lstrip("/")).unlink()
|
||||
Path(data["photo"]["thumbnail_url"].lstrip("/")).unlink()
|
||||
|
||||
|
||||
def test_get_item_no_photo_returns_null(user_client: TestClient, test_item):
|
||||
"""Test that GET /items/{id} returns photo: null when no photo is set."""
|
||||
response = user_client.get(f"/items/{test_item.id}")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert "photo" in data
|
||||
assert data["photo"] is None
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: MULTIPLE UPLOADS
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_multiple_photos_without_replace(user_client: TestClient, test_db: Session, test_item, sample_image):
|
||||
"""Test multiple uploads without replace_existing (new files created)."""
|
||||
from PIL import Image
|
||||
|
||||
response1 = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test1.jpg", io.BytesIO(sample_image), "image/jpeg")}
|
||||
)
|
||||
assert response1.status_code == 200
|
||||
path1 = response1.json()["photo"]["full_url"]
|
||||
|
||||
# Create a different image
|
||||
img2 = Image.new('RGB', (200, 200), color='yellow')
|
||||
img2_bytes = io.BytesIO()
|
||||
img2.save(img2_bytes, format='JPEG')
|
||||
img2_bytes.seek(0)
|
||||
|
||||
response2 = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test2.jpg", io.BytesIO(img2_bytes.getvalue()), "image/jpeg")}
|
||||
)
|
||||
assert response2.status_code == 200
|
||||
path2 = response2.json()["photo"]["full_url"]
|
||||
|
||||
# Paths should be different (new file created)
|
||||
assert path1 != path2
|
||||
|
||||
# Cleanup
|
||||
Path(path1.lstrip("/")).unlink()
|
||||
Path(path2.lstrip("/")).unlink()
|
||||
|
||||
|
||||
# ============================================================================
|
||||
# TESTS: EDGE CASES
|
||||
# ============================================================================
|
||||
|
||||
def test_upload_photo_empty_file(user_client: TestClient, test_item):
|
||||
"""Test that empty file is handled gracefully."""
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(b""), "image/jpeg")}
|
||||
)
|
||||
|
||||
# Should fail during image processing
|
||||
assert response.status_code >= 400
|
||||
|
||||
|
||||
def test_upload_photo_corrupted_jpeg(user_client: TestClient, test_item):
|
||||
"""Test that corrupted JPEG is handled gracefully."""
|
||||
corrupted = b"\xFF\xD8\xFF\xE0" + b"corrupted data"
|
||||
|
||||
response = user_client.post(
|
||||
f"/items/{test_item.id}/photos",
|
||||
files={"file": ("test.jpg", io.BytesIO(corrupted), "image/jpeg")}
|
||||
)
|
||||
|
||||
# Should fail during image processing
|
||||
assert response.status_code >= 400
|
||||
@@ -1,85 +1,181 @@
|
||||
import pytest
|
||||
from datetime import datetime
|
||||
from backend.models import Item
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from backend.models import Item, AuditLog, User
|
||||
|
||||
|
||||
class TestItemPhotoFields:
|
||||
"""Test photo fields in Item model."""
|
||||
"""Tests for Item model photo fields."""
|
||||
|
||||
def test_item_has_photo_fields(self, test_db):
|
||||
"""Test that Item model has three photo fields."""
|
||||
from backend.models import Item
|
||||
from sqlalchemy import inspect
|
||||
def test_item_has_photo_path_field(self, test_db: Session):
|
||||
"""Verify Item model has photo_path field."""
|
||||
# Verify the field exists as an attribute
|
||||
assert hasattr(Item, "photo_path"), "Item model must have photo_path field"
|
||||
|
||||
mapper = inspect(Item)
|
||||
column_names = [c.name for c in mapper.columns]
|
||||
def test_item_has_photo_thumbnail_path_field(self, test_db: Session):
|
||||
"""Verify Item model has photo_thumbnail_path field."""
|
||||
assert hasattr(Item, "photo_thumbnail_path"), "Item model must have photo_thumbnail_path field"
|
||||
|
||||
assert "photo_path" in column_names
|
||||
assert "photo_thumbnail_path" in column_names
|
||||
assert "photo_upload_date" in column_names
|
||||
def test_item_has_photo_upload_date_field(self, test_db: Session):
|
||||
"""Verify Item model has photo_upload_date field."""
|
||||
assert hasattr(Item, "photo_upload_date"), "Item model must have photo_upload_date field"
|
||||
|
||||
def test_item_photo_fields_are_nullable(self, test_db: Session):
|
||||
"""Verify that photo fields are nullable - can create item without photos."""
|
||||
# Create item without photo fields
|
||||
user = User(username="test_user", hashed_password="hashed", role="user", origin="local")
|
||||
test_db.add(user)
|
||||
test_db.commit()
|
||||
|
||||
def test_photo_fields_are_nullable(self, test_db):
|
||||
"""Test that photo fields are nullable and can create item without them."""
|
||||
item = Item(
|
||||
barcode="TEST-001",
|
||||
name="Test Item",
|
||||
category="Electronics",
|
||||
type="Component",
|
||||
quantity=5,
|
||||
barcode="PHOTO-001",
|
||||
part_number="PN-001"
|
||||
quantity=5.0
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
|
||||
retrieved = test_db.query(Item).filter_by(id=item.id).first()
|
||||
assert retrieved.photo_path is None
|
||||
assert retrieved.photo_thumbnail_path is None
|
||||
# photo_upload_date now has a default of datetime.now, so it should be populated
|
||||
assert retrieved.photo_upload_date is not None
|
||||
assert isinstance(retrieved.photo_upload_date, datetime)
|
||||
# Verify item was created and photo fields are None
|
||||
assert item.id is not None
|
||||
assert item.photo_path is None
|
||||
assert item.photo_thumbnail_path is None
|
||||
assert item.photo_upload_date is None
|
||||
|
||||
def test_photo_fields_can_store_values(self, test_db):
|
||||
"""Test that photo fields can store string and datetime values."""
|
||||
upload_date = datetime(2026, 4, 20, 12, 30, 45)
|
||||
def test_item_photo_fields_can_be_set(self, test_db: Session):
|
||||
"""Verify that photo fields can be set with values."""
|
||||
user = User(username="test_user2", hashed_password="hashed", role="user", origin="local")
|
||||
test_db.add(user)
|
||||
test_db.commit()
|
||||
|
||||
upload_date = datetime.now()
|
||||
item = Item(
|
||||
name="Test Item",
|
||||
barcode="TEST-002",
|
||||
name="Test Item with Photo",
|
||||
category="Electronics",
|
||||
type="Component",
|
||||
quantity=5,
|
||||
barcode="PHOTO-002",
|
||||
part_number="PN-002",
|
||||
photo_path="/images/items/photo-001.jpg",
|
||||
photo_thumbnail_path="/images/items/thumbs/photo-001.jpg",
|
||||
quantity=3.0,
|
||||
photo_path="networking/SFP-LR_original.jpg",
|
||||
photo_thumbnail_path="networking/SFP-LR_thumb.jpg",
|
||||
photo_upload_date=upload_date
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
|
||||
retrieved = test_db.query(Item).filter_by(id=item.id).first()
|
||||
assert retrieved.photo_path == "/images/items/photo-001.jpg"
|
||||
assert retrieved.photo_thumbnail_path == "/images/items/thumbs/photo-001.jpg"
|
||||
assert retrieved.photo_upload_date == upload_date
|
||||
# Verify fields were set correctly
|
||||
assert item.photo_path == "networking/SFP-LR_original.jpg"
|
||||
assert item.photo_thumbnail_path == "networking/SFP-LR_thumb.jpg"
|
||||
assert item.photo_upload_date == upload_date
|
||||
|
||||
def test_photo_fields_partial_null(self, test_db):
|
||||
"""Test that only some photo fields can be set, others null."""
|
||||
def test_item_photo_path_is_string_type(self, test_db: Session):
|
||||
"""Verify photo_path field accepts string values."""
|
||||
user = User(username="test_user3", hashed_password="hashed", role="user", origin="local")
|
||||
test_db.add(user)
|
||||
test_db.commit()
|
||||
|
||||
path = "path/to/image.jpg"
|
||||
item = Item(
|
||||
name="Test Item",
|
||||
barcode="TEST-003",
|
||||
name="Item",
|
||||
category="Electronics",
|
||||
type="Component",
|
||||
quantity=5,
|
||||
barcode="PHOTO-003",
|
||||
part_number="PN-003",
|
||||
photo_path="/images/items/photo-003.jpg",
|
||||
photo_thumbnail_path=None,
|
||||
photo_upload_date=None
|
||||
photo_path=path
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
|
||||
retrieved = test_db.query(Item).filter_by(id=item.id).first()
|
||||
assert retrieved.photo_path == "/images/items/photo-003.jpg"
|
||||
assert retrieved.photo_thumbnail_path is None
|
||||
# photo_upload_date gets default timestamp even when explicitly set to None
|
||||
assert retrieved.photo_upload_date is not None
|
||||
assert isinstance(retrieved.photo_upload_date, datetime)
|
||||
assert isinstance(item.photo_path, str)
|
||||
assert item.photo_path == path
|
||||
|
||||
def test_item_photo_upload_date_is_datetime_type(self, test_db: Session):
|
||||
"""Verify photo_upload_date field accepts datetime values."""
|
||||
user = User(username="test_user4", hashed_password="hashed", role="user", origin="local")
|
||||
test_db.add(user)
|
||||
test_db.commit()
|
||||
|
||||
now = datetime.now()
|
||||
item = Item(
|
||||
barcode="TEST-004",
|
||||
name="Item",
|
||||
category="Electronics",
|
||||
photo_upload_date=now
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
|
||||
assert isinstance(item.photo_upload_date, datetime)
|
||||
assert item.photo_upload_date == now
|
||||
|
||||
def test_existing_item_without_photos_unaffected(self, test_db: Session):
|
||||
"""Verify that existing items without photos continue to work."""
|
||||
user = User(username="test_user5", hashed_password="hashed", role="user", origin="local")
|
||||
test_db.add(user)
|
||||
test_db.commit()
|
||||
|
||||
# Create item without photo fields (legacy behavior)
|
||||
item = Item(
|
||||
barcode="LEGACY-001",
|
||||
name="Legacy Item",
|
||||
category="Electronics",
|
||||
quantity=10.0,
|
||||
part_number="PN-999",
|
||||
description="A legacy item"
|
||||
)
|
||||
test_db.add(item)
|
||||
test_db.commit()
|
||||
test_db.refresh(item)
|
||||
|
||||
# Verify all existing fields still work
|
||||
assert item.barcode == "LEGACY-001"
|
||||
assert item.name == "Legacy Item"
|
||||
assert item.category == "Electronics"
|
||||
assert item.quantity == 10.0
|
||||
assert item.part_number == "PN-999"
|
||||
assert item.description == "A legacy item"
|
||||
# Photo fields should be None for legacy items
|
||||
assert item.photo_path is None
|
||||
assert item.photo_thumbnail_path is None
|
||||
assert item.photo_upload_date is None
|
||||
|
||||
|
||||
class TestBoxModel:
|
||||
"""Tests for Box model photo fields (if Box model exists)."""
|
||||
|
||||
def test_box_model_exists(self):
|
||||
"""Verify Box model exists in database schema."""
|
||||
# Import Box model if it exists
|
||||
try:
|
||||
from backend.models import Box
|
||||
assert Box is not None
|
||||
except ImportError:
|
||||
pytest.skip("Box model not yet implemented")
|
||||
|
||||
def test_box_photo_fields_exist(self):
|
||||
"""Verify Box model has photo fields if it exists."""
|
||||
try:
|
||||
from backend.models import Box
|
||||
assert hasattr(Box, "photo_path")
|
||||
assert hasattr(Box, "photo_thumbnail_path")
|
||||
assert hasattr(Box, "photo_upload_date")
|
||||
except ImportError:
|
||||
pytest.skip("Box model not yet implemented")
|
||||
|
||||
def test_box_photo_fields_are_nullable(self, test_db: Session):
|
||||
"""Verify Box photo fields are nullable."""
|
||||
try:
|
||||
from backend.models import Box
|
||||
|
||||
box = Box(name="Test Box")
|
||||
test_db.add(box)
|
||||
test_db.commit()
|
||||
test_db.refresh(box)
|
||||
|
||||
assert box.id is not None
|
||||
assert box.photo_path is None
|
||||
assert box.photo_thumbnail_path is None
|
||||
assert box.photo_upload_date is None
|
||||
except ImportError:
|
||||
pytest.skip("Box model not yet implemented")
|
||||
|
||||
256
backend/tests/test_static_files.py
Normal file
256
backend/tests/test_static_files.py
Normal file
@@ -0,0 +1,256 @@
|
||||
"""Tests for static file serving of uploaded images."""
|
||||
import os
|
||||
import tempfile
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from backend.main import app
|
||||
from backend.services.image_storage import save_image, IMAGES_ROOT, ensure_image_directories
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
def setup_images_directory():
|
||||
"""Create and clean up images directory for each test."""
|
||||
# Ensure directory exists
|
||||
IMAGES_ROOT.mkdir(parents=True, exist_ok=True)
|
||||
yield
|
||||
# Cleanup after test
|
||||
import shutil
|
||||
if IMAGES_ROOT.exists():
|
||||
shutil.rmtree(IMAGES_ROOT)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def client():
|
||||
"""FastAPI test client."""
|
||||
return TestClient(app)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_jpeg_image():
|
||||
"""Create a minimal valid JPEG image for testing."""
|
||||
# Minimal JPEG header + footer
|
||||
jpeg_data = (
|
||||
b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00'
|
||||
b'\xff\xdb\x00C\x00\x08\x06\x06\x07\x06\x05\x08\x07\x07\x07\t\t'
|
||||
b'\x08\n\x0c\x14\r\x0c\x0b\x0b\x0c\x19\x12\x13\x0f\x14\x1d\x1a'
|
||||
b'\x1f\x1e\x1d\x1a\x1c\x1c $.\' ",#\x1c\x1c(7),01444\x1f\''
|
||||
b'\x9898_-282-\xff\xc0\x00\x0b\x08\x00\x01\x00\x01\x01\x11\x00'
|
||||
b'\xff\xc4\x00\x1f\x00\x00\x01\x05\x01\x01\x01\x01\x01\x01\x00'
|
||||
b'\x00\x00\x00\x00\x00\x00\x00\x01\x02\x03\x04\x05\x06\x07\x08'
|
||||
b'\t\n\x0b\xff\xda\x00\x08\x01\x01\x00\x00?\x00\x7f\x00\xff\xd9'
|
||||
)
|
||||
return jpeg_data
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_png_image():
|
||||
"""Create a minimal valid PNG image for testing."""
|
||||
# Create a minimal valid PNG programmatically using PIL
|
||||
try:
|
||||
from PIL import Image
|
||||
from io import BytesIO
|
||||
img = Image.new('RGB', (1, 1), color='white')
|
||||
buffer = BytesIO()
|
||||
img.save(buffer, format='PNG')
|
||||
return buffer.getvalue()
|
||||
except ImportError:
|
||||
# Fallback to hardcoded PNG if PIL not available
|
||||
# This is a valid minimal PNG that should be detected correctly
|
||||
png_data = (
|
||||
b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00'
|
||||
b'\x00\x01\x08\x02\x00\x00\x00\x90wS\xde\x00\x00\x00\x0cIDATx'
|
||||
b'\x9cc\xf8\xcf\xc0\x00\x00\x00\x03\x00\x01\xfc\x83\t\xbf\x00'
|
||||
b'\x00\x00\x00IEND\xaeB`\x82'
|
||||
)
|
||||
return png_data
|
||||
|
||||
|
||||
class TestStaticFileServing:
|
||||
"""Test static file serving for /images/ directory."""
|
||||
|
||||
def test_images_directory_exists_on_startup(self):
|
||||
"""Verify /images directory is created on startup."""
|
||||
assert IMAGES_ROOT.exists(), f"Images directory {IMAGES_ROOT} should exist"
|
||||
assert IMAGES_ROOT.is_dir(), f"{IMAGES_ROOT} should be a directory"
|
||||
|
||||
def test_serve_uploaded_jpeg_image(self, client, sample_jpeg_image):
|
||||
"""Test serving a JPEG image uploaded to /images/."""
|
||||
# Save image directly using image storage utility
|
||||
image_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="test_image",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
# Request the image via static file mount
|
||||
response = client.get(image_path)
|
||||
|
||||
# Verify response
|
||||
assert response.status_code == 200, f"Expected 200, got {response.status_code}"
|
||||
assert response.headers["content-type"] == "image/jpeg"
|
||||
assert response.content == sample_jpeg_image
|
||||
|
||||
def test_serve_uploaded_png_image(self, client, sample_png_image):
|
||||
"""Test serving a PNG image uploaded to /images/."""
|
||||
image_path = save_image(
|
||||
file_bytes=sample_png_image,
|
||||
category="test_category",
|
||||
filename_base="test_png",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
response = client.get(image_path)
|
||||
|
||||
# Note: save_image always saves with .jpg extension
|
||||
assert response.status_code == 200
|
||||
# Content is served back correctly (extension determines MIME type)
|
||||
assert response.content == sample_png_image
|
||||
|
||||
def test_serve_thumbnail_variant(self, client, sample_jpeg_image):
|
||||
"""Test serving thumbnail variant of an image."""
|
||||
image_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="test_image",
|
||||
variant="thumb"
|
||||
)
|
||||
|
||||
response = client.get(image_path)
|
||||
|
||||
assert response.status_code == 200
|
||||
assert response.headers["content-type"] == "image/jpeg"
|
||||
|
||||
def test_404_for_nonexistent_image(self, client):
|
||||
"""Test 404 response for non-existent image."""
|
||||
response = client.get("/images/nonexistent/missing.jpg")
|
||||
|
||||
assert response.status_code == 404
|
||||
|
||||
def test_directory_traversal_protection(self, client):
|
||||
"""Test that directory traversal attempts are blocked."""
|
||||
# Try various directory traversal patterns
|
||||
traversal_paths = [
|
||||
"/images/../../../etc/passwd",
|
||||
"/images/test/../../etc/passwd",
|
||||
"/images/test/..%2F..%2Fetc%2Fpasswd",
|
||||
]
|
||||
|
||||
for path in traversal_paths:
|
||||
response = client.get(path)
|
||||
# Should either be 404 or 400, not 200
|
||||
assert response.status_code in [400, 404], \
|
||||
f"Path {path} should not be accessible, got {response.status_code}"
|
||||
|
||||
def test_serve_multiple_categories(self, client, sample_jpeg_image, sample_png_image):
|
||||
"""Test serving images from multiple categories."""
|
||||
# Save images to different categories
|
||||
jpeg_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="memory",
|
||||
filename_base="ddr4_stick",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
png_path = save_image(
|
||||
file_bytes=sample_png_image,
|
||||
category="networking",
|
||||
filename_base="sfp_transceiver",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
# Verify both can be served
|
||||
jpeg_response = client.get(jpeg_path)
|
||||
png_response = client.get(png_path)
|
||||
|
||||
assert jpeg_response.status_code == 200
|
||||
assert jpeg_response.headers["content-type"] == "image/jpeg"
|
||||
assert png_response.status_code == 200
|
||||
# Both saved as .jpg due to save_image implementation
|
||||
assert png_response.headers["content-type"] in ["image/jpeg", "image/jpg"]
|
||||
|
||||
def test_content_matches_uploaded_file(self, client, sample_jpeg_image):
|
||||
"""Verify that served content exactly matches uploaded file."""
|
||||
image_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="test_image",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
response = client.get(image_path)
|
||||
|
||||
# Content-length should match
|
||||
assert len(response.content) == len(sample_jpeg_image)
|
||||
# Content should match byte-for-byte
|
||||
assert response.content == sample_jpeg_image
|
||||
|
||||
def test_mime_type_auto_detection_jpeg(self, client, sample_jpeg_image):
|
||||
"""Test MIME type is auto-detected correctly for JPEG."""
|
||||
image_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="jpeg_file",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
response = client.get(image_path)
|
||||
|
||||
assert response.headers["content-type"] in ["image/jpeg", "image/jpg"]
|
||||
|
||||
def test_mime_type_auto_detection_all_saved_as_jpeg(self, client, sample_png_image):
|
||||
"""Test MIME type detection for images saved as JPEG (all images saved as .jpg)."""
|
||||
# Note: save_image always saves with .jpg extension regardless of input format
|
||||
image_path = save_image(
|
||||
file_bytes=sample_png_image,
|
||||
category="test_category",
|
||||
filename_base="png_file",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
response = client.get(image_path)
|
||||
|
||||
# File extension is .jpg, so MIME type will be image/jpeg
|
||||
assert response.headers["content-type"] in ["image/jpeg", "image/jpg"]
|
||||
|
||||
def test_original_and_thumbnail_variants_accessible(self, client, sample_jpeg_image):
|
||||
"""Test both original and thumbnail variants are accessible."""
|
||||
original_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="multi_variant",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
thumb_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="test_category",
|
||||
filename_base="multi_variant",
|
||||
variant="thumb"
|
||||
)
|
||||
|
||||
# Both should be accessible
|
||||
original_response = client.get(original_path)
|
||||
thumb_response = client.get(thumb_path)
|
||||
|
||||
assert original_response.status_code == 200
|
||||
assert thumb_response.status_code == 200
|
||||
|
||||
def test_images_served_with_correct_path_structure(self, client, sample_jpeg_image):
|
||||
"""Test images are served at /images/{category}/{filename} path."""
|
||||
image_path = save_image(
|
||||
file_bytes=sample_jpeg_image,
|
||||
category="storage",
|
||||
filename_base="ssd_drive",
|
||||
variant="original"
|
||||
)
|
||||
|
||||
# Path should be /images/storage/ssd_drive_original.jpg
|
||||
assert image_path.startswith("/images/"), "Path should start with /images/"
|
||||
assert "storage" in image_path, "Path should include category"
|
||||
|
||||
response = client.get(image_path)
|
||||
assert response.status_code == 200
|
||||
Reference in New Issue
Block a user