- Implement tests for database generator to ensure proper session handling. - Create tests for EXIF extraction and conversion functions. - Add tests for image-related endpoints, ensuring proper data retrieval and isolation between clients. - Develop tests for OCR functionality, including language detection and text extraction. - Introduce tests for the image processing pipeline, covering success and failure scenarios. - Validate rate limiting functionality and ensure independent counters for different clients. - Implement scraper tests to verify HTML content fetching and error handling. - Add unit tests for various services, including storage and filename generation. - Establish worker entry point for ARQ to handle background image processing tasks.
122 lines
3.2 KiB
Python
122 lines
3.2 KiB
Python
"""
|
|
Configuration centralisée — chargée depuis .env
|
|
"""
|
|
from pathlib import Path
|
|
from typing import List
|
|
from pydantic_settings import BaseSettings
|
|
from pydantic import field_validator
|
|
import json
|
|
|
|
|
|
class Settings(BaseSettings):
|
|
# Application
|
|
APP_NAME: str = "Imago"
|
|
APP_VERSION: str = "1.0.0"
|
|
DEBUG: bool = False
|
|
SECRET_KEY: str = "changez-moi"
|
|
|
|
# Serveur
|
|
HOST: str = "0.0.0.0"
|
|
PORT: int = 8000
|
|
|
|
# Base de données
|
|
DATABASE_URL: str = "sqlite+aiosqlite:///./data/imago.db"
|
|
|
|
# Stockage
|
|
UPLOAD_DIR: str = "./data/uploads"
|
|
THUMBNAILS_DIR: str = "./data/thumbnails"
|
|
MAX_UPLOAD_SIZE_MB: int = 50
|
|
|
|
# AI — Configuration
|
|
AI_ENABLED: bool = True
|
|
AI_PROVIDER: str = "openrouter"
|
|
|
|
# AI — Google Gemini
|
|
GEMINI_API_KEY: str = ""
|
|
GEMINI_MODEL: str = "gemini-3.1-pro-preview"
|
|
GEMINI_MAX_TOKENS: int = 1024
|
|
|
|
# AI — OpenRouter
|
|
OPENROUTER_API_KEY: str = ""
|
|
OPENROUTER_MODEL: str = "qwen/qwen2.5-vl-72b-instruct"
|
|
|
|
# AI — Comportement
|
|
AI_TAGS_MIN: int = 5
|
|
AI_TAGS_MAX: int = 10
|
|
AI_DESCRIPTION_LANGUAGE: str = "français"
|
|
AI_CACHE_DAYS: int = 30
|
|
|
|
# OCR
|
|
OCR_ENABLED: bool = True
|
|
TESSERACT_CMD: str = "/usr/bin/tesseract"
|
|
OCR_LANGUAGES: str = "fra+eng"
|
|
|
|
# CORS
|
|
CORS_ORIGINS: List[str] = ["http://localhost:3000", "http://localhost:5173"]
|
|
|
|
# Authentification
|
|
ADMIN_API_KEY: str = ""
|
|
JWT_SECRET_KEY: str = "changez-moi-jwt-secret"
|
|
JWT_ALGORITHM: str = "HS256"
|
|
|
|
# Rate limiting — global (legacy)
|
|
RATE_LIMIT_UPLOAD: int = 10
|
|
RATE_LIMIT_AI: int = 20
|
|
|
|
# Rate limiting — par plan (requêtes/heure)
|
|
RATE_LIMIT_FREE_UPLOAD: int = 20
|
|
RATE_LIMIT_FREE_AI: int = 50
|
|
RATE_LIMIT_STANDARD_UPLOAD: int = 100
|
|
RATE_LIMIT_STANDARD_AI: int = 200
|
|
RATE_LIMIT_PREMIUM_UPLOAD: int = 500
|
|
RATE_LIMIT_PREMIUM_AI: int = 1000
|
|
|
|
# Redis + ARQ Worker
|
|
REDIS_URL: str = "redis://localhost:6379"
|
|
WORKER_MAX_JOBS: int = 10
|
|
WORKER_JOB_TIMEOUT: int = 180
|
|
WORKER_MAX_TRIES: int = 3
|
|
AI_STEP_TIMEOUT: int = 120
|
|
OCR_STEP_TIMEOUT: int = 30
|
|
|
|
# Storage Backend
|
|
STORAGE_BACKEND: str = "local" # "local" | "s3"
|
|
S3_BUCKET: str = ""
|
|
S3_REGION: str = "us-east-1"
|
|
S3_ENDPOINT_URL: str = "" # vide = AWS, sinon MinIO/R2
|
|
S3_ACCESS_KEY: str = ""
|
|
S3_SECRET_KEY: str = ""
|
|
S3_PREFIX: str = "imago"
|
|
SIGNED_URL_SECRET: str = "changez-moi-signed-url"
|
|
|
|
@field_validator("CORS_ORIGINS", mode="before")
|
|
@classmethod
|
|
def parse_cors(cls, v):
|
|
if isinstance(v, str):
|
|
try:
|
|
return json.loads(v)
|
|
except Exception:
|
|
return [v]
|
|
return v
|
|
|
|
@property
|
|
def upload_path(self) -> Path:
|
|
p = Path(self.UPLOAD_DIR)
|
|
p.mkdir(parents=True, exist_ok=True)
|
|
return p
|
|
|
|
@property
|
|
def thumbnails_path(self) -> Path:
|
|
p = Path(self.THUMBNAILS_DIR)
|
|
p.mkdir(parents=True, exist_ok=True)
|
|
return p
|
|
|
|
@property
|
|
def max_upload_bytes(self) -> int:
|
|
return self.MAX_UPLOAD_SIZE_MB * 1024 * 1024
|
|
|
|
model_config = {"env_file": ".env", "case_sensitive": True, "extra": "ignore"}
|
|
|
|
|
|
settings = Settings()
|