Init: 第一个版本

app/config.py

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+import os
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parent.parent
+DATA_DIR = ROOT / "data"
+STATIC_DIR = ROOT / "static"
+
+EMBEDDING_MODEL = "BAAI/bge-small-zh-v1.5"
+COLLECTION_NAME = "knowledge_bge_small_zh_v15"
+CHUNK_SIZE = 360
+CHUNK_OVERLAP = 60
+DEFAULT_TOP_K = 4
+LOW_SCORE = 0.45
+
+os.environ.setdefault("ANONYMIZED_TELEMETRY", "False")
+os.environ.setdefault("TOKENIZERS_PARALLELISM", "false")
+
+
+def load_dotenv() -> None:
+    path = ROOT / ".env"
+    if not path.exists():
+        return
+    for raw in path.read_text(encoding="utf-8").splitlines():
+        line = raw.strip()
+        if not line or line.startswith("#") or "=" not in line:
+            continue
+        key, value = line.split("=", 1)
+        key = key.strip()
+        value = value.strip().strip('"').strip("'")
+        if key and key not in os.environ:
+            os.environ[key] = value
+
+
+load_dotenv()
+
+
+def llm_config() -> dict | None:
+    key = os.getenv("OPENAI_API_KEY", "").strip()
+    if not key:
+        return None
+    base = os.getenv("OPENAI_BASE_URL", "https://api.openai.com/v1").strip()
+    model = os.getenv("OPENAI_MODEL", "gpt-4o-mini").strip()
+    return {
+        "key": key,
+        "base": (base or "https://api.openai.com/v1").rstrip("/"),
+        "model": model or "gpt-4o-mini",
+    }