chore: Change Code graph gh action to use OpenAI API (#499)

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## Description
<!-- Provide a clear description of the changes in this PR -->

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **Chores**
- Updated the CI configuration for integration tests to use revised
secret values, ensuring improved alignment with current external API
credential requirements and deprecating legacy references.
- Made several secrets optional in the workflow, enhancing flexibility
during execution.
- Removed several outdated secrets from multiple workflows, streamlining
the configuration.
- Improved error handling in the code processing logic by adding
exception management for `AttributeError` and `AssertionError`.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

.github/workflows/reusable_python_example.yml

@@ -16,24 +16,10 @@ on:
         required: true
       GRAPHISTRY_PASSWORD:
         required: true
-      LLM_MODEL:
-        required: true
-      LLM_ENDPOINT:
-        required: true
       LLM_API_KEY:
         required: true
       OPENAI_API_KEY:
         required: false
-      LLM_API_VERSION:
-        required: true
-      EMBEDDING_MODEL:
-        required: true
-      EMBEDDING_ENDPOINT:
-        required: true
-      EMBEDDING_API_KEY:
-        required: true
-      EMBEDDING_API_VERSION:
-        required: true
 
 env:
   RUNTIME__LOG_LEVEL: ERROR
@@ -70,15 +56,8 @@ jobs:
         env:
           ENV: 'dev'
           PYTHONFAULTHANDLER: 1
-          LLM_MODEL: ${{ secrets.LLM_MODEL }}
+          LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
-          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
-          LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
           OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-          EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
-          EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
-          EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
-          EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
           GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
           GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
         run: poetry run python ${{ inputs.example-location }} ${{ inputs.arguments }}

.github/workflows/test_code_graph_example.yml

@@ -17,13 +17,7 @@ jobs:
         example-location: ./examples/python/code_graph_example.py
         arguments: "--repo_path ./evals"
       secrets:
-        LLM_MODEL: ${{ secrets.LLM_MODEL }}
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
+        LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
-        LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
-        EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
-        EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
-        EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
-        EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
         GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
         GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}

.github/workflows/test_multimedia_example.yaml

@@ -16,13 +16,7 @@ jobs:
       with:
         example-location: ./examples/python/multimedia_example.py
       secrets:
-        #LLM_MODEL: ${{ secrets.LLM_MODEL }}
-        #LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
         LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} # Use OpenAI until we deploy models to handle multimedia
-        #LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
-        EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
-        EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
-        EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
         GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
         GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}

cognee/tasks/repo_processor/get_local_dependencies.py

@@ -73,6 +73,12 @@ def _update_code_entity(script: jedi.Script, code_entity: Dict[str, any]) -> Non
         # TODO: See if there is a way to handle EOFError properly
         logger.error(f"Failed to analyze code entity {code_entity['name']}: {e}")
         return
+    except AttributeError as e:
+        # TODO: See if there is a way to handle AttributeError properly
+        logger.error(f"Failed to analyze code entity {code_entity['name']}: {e}")
+    except AssertionError as e:
+        # TODO: See if there is a way to handle AttributeError properly
+        logger.error(f"Failed to analyze code entity {code_entity['name']}: {e}")
     except Exception as e:
         # logging.warning(f"Failed to analyze code entity {code_entity['name']}: {e}")
         logger.error(f"Failed to analyze code entity {code_entity['name']}: {e}")