feat: 提交热榜评论分析工具 MVP 基线

app/config.py

@@ -0,0 +1,41 @@
+from functools import lru_cache
+
+from pydantic import field_validator
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
+
+    app_env: str = "development"
+    database_url: str = "sqlite:///data/app.db"
+    tikhub_api_key: str = ""
+    tikhub_base_url: str = "https://api.tikhub.io"
+    ai_provider: str = "openai-compatible"
+    ai_base_url: str = ""
+    ai_api_key: str = ""
+    ai_model: str = ""
+    ai_batch_size: int = 20
+    ai_concurrency: int = 2
+    ai_max_retries: int = 3
+    ai_timeout_seconds: int = 30
+    http_timeout_seconds: int = 20
+    http_max_retries: int = 3
+    crawl_page_interval_seconds: float = 1.5
+
+    hot_limit_min: int = 1
+    hot_limit_max: int = 10
+    item_limit_per_hot_min: int = 1
+    item_limit_per_hot_max: int = 10
+    comment_limit_per_item_min: int = 10
+    comment_limit_per_item_max: int = 100
+
+    @field_validator("ai_concurrency", mode="after")
+    @classmethod
+    def cap_ai_concurrency(cls, value: int) -> int:
+        return min(value, 3)
+
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()