feat: Release v0.10 - Modular Architecture & External Config

- Refactor codebase into src/ (preprocessing, translation, assembly) - Add pipeline/ scripts for individual stages - Externalize configuration to config/config.yaml - Fix Cover Image preservation - Update documentation and manuals
2026-01-31 22:49:44 +08:00
parent 9ef82393be
commit 7a93c52b42
306 changed files with 30313 additions and 1071 deletions
@@ -0,0 +1,102 @@
+import os
+import sys
+from pathlib import Path
+from dotenv import load_dotenv
+import asyncio
+import httpx
+from openai import AsyncOpenAI
+
+# Add project root to sys.path
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from src.common.config import load_global_config
+
+async def main():
+    print("--- Environment Debug ---")
+    load_dotenv()
+    env_key = os.getenv("OPENAI_API_KEY")
+    if env_key:
+        print(f"OPENAI_API_KEY found in env: {env_key[:8]}...{env_key[-4:]}")
+    else:
+        print("OPENAI_API_KEY NOT found in env!")
+        
+    print("\n--- Config Loader Debug ---")
+    try:
+        config = load_global_config()
+        llm_conf = config.get("llm", {})
+        conf_key = llm_conf.get("api_key")
+        base_url = llm_conf.get("base_url")
+        model = llm_conf.get("model")
+        
+        print(f"Config Base URL: {base_url}")
+        print(f"Config Model: {model}")
+        if conf_key:
+            print(f"Config API Key: {conf_key[:8]}...{conf_key[-4:]}")
+            if env_key and conf_key == env_key:
+                print("Config Key matches Env Key.")
+            else:
+                print("Config Key DOES NOT match Env Key!")
+        else:
+            print("Config API Key NOT found!")
+            
+        print("\n--- API Connectivity Test ---")
+        if not conf_key or not base_url:
+            print("Missing params for test.")
+            return
+
+        headers = {"Authorization": f"Bearer {conf_key}"}
+        url = f"{base_url}/models"
+        print(f"Requesting: {url}")
+        
+        async with httpx.AsyncClient() as client:
+            try:
+                resp = await client.get(url, headers=headers, timeout=10)
+                print(f"Status Code: {resp.status_code}")
+                if resp.status_code == 200:
+                    print("Success! Models listed.")
+                else:
+                    print(f"Failed. Response: {resp.text}")
+            except Exception as e:
+                print(f"Exception during request: {e}")
+
+        print("\n--- Chat Completion Test (Mimicking LLMClient) ---")
+        
+        proxy_url = os.environ.get("http_proxy") or os.environ.get("https_proxy")
+        print(f"Proxy detected: {proxy_url}")
+        
+        http_client = httpx.AsyncClient(
+            proxy=proxy_url,
+            timeout=60.0,
+            follow_redirects=True
+        ) if proxy_url else None
+        
+        aclient = AsyncOpenAI(
+            api_key=conf_key, 
+            base_url=base_url,
+            http_client=http_client
+        )
+        
+        print(f"Model: {model}")
+        system_prompt = "You are a senior publishing editor."
+        user_prompt = "Analyze this text."
+        
+        try:
+            print("Sending request with System Prompt...")
+            resp = await aclient.chat.completions.create(
+                model=model,
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": user_prompt}
+                ],
+                temperature=0.3,
+            )
+            print("Success!")
+            print(f"Response: {resp.choices[0].message.content}")
+        except Exception as e:
+            print(f"Chat Completion failed: {type(e).__name__}: {e}")
+            
+    except Exception as e:
+        print(f"Config loading failed: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(main())