feat: 初始化零工后端代码

gig-poc/apps/api/app/core/config.py

@@ -17,18 +17,39 @@ class Settings(BaseSettings):
     app_host: str = "0.0.0.0"
     app_port: int = 8000
     log_level: str = "INFO"
+    app_rate_limit_per_minute: int = 1200
+    app_circuit_breaker_error_rate: float = 0.5
+    app_circuit_breaker_min_requests: int = 50
+    app_circuit_breaker_window_seconds: int = 60
+    app_circuit_breaker_cooldown_seconds: int = 30
+    alert_webhook_url: str | None = None
 
     database_url: str = "postgresql+psycopg://gig:gig@postgres:5432/gig_poc"
+    database_pool_size: int = 20
+    database_max_overflow: int = 30
+    database_pool_timeout: int = 30
     qdrant_url: str = "http://qdrant:6333"
     qdrant_collection: str = "gig_poc_entities"
     vector_size: int = 64
 
     llm_enabled: bool = False
     llm_base_url: str | None = None
+    llm_fallback_base_urls: list[str] = Field(default_factory=list)
     llm_api_key: str | None = None
     llm_model: str = "gpt-5.4"
+    extraction_llm_max_retries: int = 2
+
+    embedding_backend: str = "hash"  # hash | openai_compatible
     embedding_enabled: bool = False
+    embedding_base_url: str | None = None
+    embedding_fallback_base_urls: list[str] = Field(default_factory=list)
+    embedding_api_key: str | None = None
     embedding_model: str = "text-embedding-3-small"
+    embedding_vector_size: int = 1536
+    ai_request_timeout_seconds: float = 30.0
+    ai_rate_limit_per_minute: int = 120
+    ai_circuit_breaker_fail_threshold: int = 5
+    ai_circuit_breaker_cooldown_seconds: int = 30
 
     bootstrap_jobs: int = 100
     bootstrap_workers: int = 300
@@ -38,12 +59,27 @@ class Settings(BaseSettings):
     prompt_dir: Path = Field(default=ROOT_DIR / "packages" / "prompts")
     sample_data_dir: Path = Field(default=ROOT_DIR / "packages" / "sample-data")
     shared_types_dir: Path = Field(default=ROOT_DIR / "packages" / "shared-types")
+    data_dir: Path = Field(default=ROOT_DIR / "data")
+    match_weights_path: Path = Field(default=ROOT_DIR / "data" / "match_weights.json")
 
     score_skill_weight: float = 0.35
     score_region_weight: float = 0.20
     score_time_weight: float = 0.15
     score_experience_weight: float = 0.15
     score_reliability_weight: float = 0.15
+    ranking_learning_enabled: bool = True
+    ranking_learning_rate: float = 0.08
+    cache_backend: str = "memory"  # memory | redis
+    redis_url: str = "redis://redis:6379/0"
+    redis_prefix: str = "gig_poc"
+    match_cache_enabled: bool = True
+    match_cache_ttl_seconds: int = 30
+    query_cache_enabled: bool = True
+    query_cache_ttl_seconds: int = 20
+    ingest_async_enabled: bool = True
+    ingest_queue_max_size: int = 10000
+    match_async_enabled: bool = True
+    match_queue_max_size: int = 10000
 
 
 @lru_cache