Hot fix for cloning issue

requirements.txt

@@ -1,15 +1,15 @@
-pydantic
-python-dotenv
-google-genai
-repo-to-text
+pydantic==2.11.7
+python-dotenv==0.21.1
+google-genai==0.1.0
+repo-to-text==0.7.0
 PyLD
-rdflib
-rdflib-jsonld
-tiktoken
-fastapi
-uvicorn
+rdflib==6.2.0
+rdflib-jsonld==0.6.2
+tiktoken==0.9.0
+fastapi==0.115.13
+uvicorn==0.34.3
 gimie==0.7.2
 pyyaml
-openai
-beautifulsoup4
-selenium
+openai==1.91.0
+beautifulsoup4==4.13.4
+selenium==4.34.2

src/api.py

@@ -23,16 +23,14 @@ async def extract(full_path:str):
     jsonld_gimie_data = extract_gimie(full_path, format="json-ld")
 
     try:
-        llm_result = await llm_request_repo_infos(str(full_path), output_format="json-ld", max_tokens=20000)
-    except Exception as e:
-        raise HTTPException(
-            status_code=424, 
-            detail=f"Error from LLM service: {e}"
-        )
+        llm_result = await llm_request_repo_infos(str(full_path), output_format="json-ld", max_tokens=30000)
+        merged_results = merge_jsonld(jsonld_gimie_data, llm_result)
+        pydantic_data = convert_jsonld_to_pydantic(merged_results["@graph"])
 
-    merged_results = merge_jsonld(jsonld_gimie_data, llm_result)
+    except Exception as e:
 
-    pydantic_data = convert_jsonld_to_pydantic(merged_results["@graph"])
+        pydantic_data = convert_jsonld_to_pydantic(jsonld_gimie_data["@graph"])
+        print(f"Warning: LLM service failed, using fallback data: {e}")
 
     zod_data = convert_pydantic_to_zod_form_dict(pydantic_data)
 

src/core/genai_model.py

@@ -106,7 +106,7 @@ async def clone_repo(repo_url, temp_dir):
     logger.info(f"Cloning {repo_url} into {temp_dir}...")
     try:
         process = await asyncio.create_subprocess_exec(
-            'git', 'clone', repo_url, temp_dir,
+            'git', 'clone', '-c', 'core.symlinks=false', repo_url, temp_dir,
             stdout=asyncio.subprocess.PIPE,
             stderr=asyncio.subprocess.PIPE
         )