Initial commit

hsbg_ai/backend/config/settings.py

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+"""Configuration centralisée via Pydantic Settings."""
+from functools import lru_cache
+from pydantic_settings import BaseSettings
+from pydantic import field_validator
+from typing import List
+
+
+class Settings(BaseSettings):
+    # Serveur
+    backend_host: str = "127.0.0.1"
+    backend_port: int = 8000
+    debug: bool = True
+    secret_key: str = "changeme"
+
+    # Base de données
+    database_url: str = "sqlite:///./data/hsbg_ai.db"
+
+    # LLM
+    llm_provider: str = "ollama"
+    llm_base_url: str = "http://localhost:11434"
+    llm_model: str = "llama3.2"
+    llm_fallback_model: str = "mistral"
+    llm_timeout: int = 30
+    llm_max_tokens: int = 2048
+    llm_temperature: float = 0.1
+
+    # Vision
+    vision_enabled: bool = True
+    screenshot_interval: float = 2.0
+    tesseract_path: str = "/usr/bin/tesseract"
+
+    # Apprentissage
+    learning_enabled: bool = True
+    learning_rate: float = 0.001
+    learning_batch_size: int = 32
+    learning_auto_save: bool = True
+    learning_save_interval: int = 300
+
+    # Frontend
+    frontend_host: str = "127.0.0.1"
+    frontend_port: int = 3000
+    cors_origins: List[str] = ["http://localhost:3000", "http://127.0.0.1:3000"]
+
+    # Logs
+    log_level: str = "INFO"
+    log_file: str = "./logs/hsbg_ai.log"
+
+    # Data
+    hsbg_data_path: str = "./data/hsbg"
+    current_patch: str = "30.2"
+
+    @field_validator("cors_origins", mode="before")
+    @classmethod
+    def parse_cors(cls, v):
+        if isinstance(v, str):
+            return [x.strip() for x in v.split(",")]
+        return v
+
+    class Config:
+        env_file = ".env"
+        env_file_encoding = "utf-8"
+        case_sensitive = False
+
+
+@lru_cache()
+def get_settings() -> Settings:
+    return Settings()