Vivek/7th jan bug fixes #162
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WalkthroughThe pull request introduces significant changes across multiple retrieval and API-related files in the Athina project. The primary modifications involve renaming Changes
Sequence DiagramsequenceDiagram
participant User
participant RetrievalClass
participant VectorStore
participant Jinja2
User->>RetrievalClass: Execute with input_data
RetrievalClass->>Jinja2: Render user_query
Jinja2-->>RetrievalClass: Rendered query_text
RetrievalClass->>VectorStore: Query with rendered text
VectorStore-->>RetrievalClass: Retrieve results with scores
RetrievalClass-->>User: Return results
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Actionable comments posted: 2
🔭 Outside diff range comments (1)
athina/steps/api.py (1)
Line range hint
83-179: Fix return type annotations to match StepResultThe pipeline indicates type mismatches between the declared return type
Dict[str, Any]and actual return typeStepResult.- async def execute_async(self, input_data: Any) -> Union[Dict[str, Any], None]: + async def execute_async(self, input_data: Any) -> StepResult:Please also update the synchronous execute method:
- def execute(self, input_data: Any) -> Union[Dict[str, Any], None]: + def execute(self, input_data: Any) -> StepResult:🧰 Tools
🪛 Ruff (0.8.2)
145-145: f-string without any placeholders
Remove extraneous
fprefix(F541)
🧹 Nitpick comments (2)
athina/steps/weaviate_retrieval.py (1)
6-6: Remove unused import.The
Listtype fromtypingis imported but never used.Apply this diff to fix the issue:
-from typing import Union, Dict, Any, List +from typing import Union, Dict, Any🧰 Tools
🪛 Ruff (0.8.2)
6-6:
typing.Listimported but unusedRemove unused import:
typing.List(F401)
athina/steps/api.py (1)
26-37: Consider enhancing JSON debug informationThe debug function provides basic error context, but could be more helpful by including:
- Column position of the error
- A few lines before and after the problematic line for context
- Suggestions for common JSON syntax errors
def debug_json_structure(body_str: str, error: json.JSONDecodeError) -> dict: """Analyze JSON structure and identify problematic keys.""" lines = body_str.split("\n") error_line_num = error.lineno - 1 + context_lines = 2 # Number of lines before and after for context + start_line = max(0, error_line_num - context_lines) + end_line = min(len(lines), error_line_num + context_lines + 1) return { "original_body": body_str, "problematic_line": ( lines[error_line_num] if error_line_num < len(lines) else None ), + "error_position": error.pos, + "context": { + "lines": lines[start_line:end_line], + "line_numbers": list(range(start_line + 1, end_line + 1)) + } }
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📒 Files selected for processing (6)
athina/steps/api.py(2 hunks)athina/steps/chroma_retrieval.py(3 hunks)athina/steps/pinecone_retrieval.py(4 hunks)athina/steps/qdrant_retrieval.py(3 hunks)athina/steps/weaviate_retrieval.py(5 hunks)pyproject.toml(2 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
athina/steps/api.py
145-145: f-string without any placeholders
Remove extraneous f prefix
(F541)
athina/steps/weaviate_retrieval.py
6-6: typing.List imported but unused
Remove unused import: typing.List
(F401)
🪛 GitHub Actions: Python Linter
athina/steps/api.py
[error] 83-179: Multiple return type mismatches between StepResult and expected dict types
🔇 Additional comments (10)
athina/steps/qdrant_retrieval.py (2)
23-23: LGTM! Consistent attribute renaming.The renaming from
input_columntouser_queryimproves clarity and aligns with the changes across other retrieval classes.Also applies to: 31-31
87-93: LGTM! Enhanced result structure.The updated result structure now includes both text content and similarity scores, providing more comprehensive information for downstream processing.
athina/steps/chroma_retrieval.py (2)
29-29: LGTM! Consistent attribute renaming.The renaming from
input_columntouser_querymaintains consistency with other retrieval classes.Also applies to: 39-39
106-111:⚠️ Potential issueRemove duplicate return statement.
There are two consecutive return statements, which makes the second one unreachable.
Apply this diff to fix the issue:
return self._create_step_result( status="success", data=result, start_time=start_time, ) - return self._create_step_result( - status="success", - data=result, - start_time=start_time, - )Likely invalid or redundant comment.
athina/steps/pinecone_retrieval.py (2)
36-36: LGTM! Improved vector store initialization.The addition of
text_keyparameter and the conditional initialization of vector store arguments enhances flexibility while maintaining backward compatibility.Also applies to: 43-59
100-111:⚠️ Potential issueRemove duplicate return statement.
Similar to ChromaRetrieval, there are two consecutive return statements.
Apply this diff to fix the issue:
return self._create_step_result( status="success", data=result, start_time=start_time ) - return self._create_step_result( - status="success", - data=result, - start_time=start_time, - )Likely invalid or redundant comment.
athina/steps/weaviate_retrieval.py (2)
81-95: LGTM! Consistent metadata handling.The addition of
return_metadata=MetadataQuery.full()across all search types ensures consistent metadata retrieval.
102-114: LGTM! Improved score extraction.The score extraction logic now handles both
certaintyandscoremetadata fields appropriately based on the search type.athina/steps/api.py (1)
122-126: LGTM! Clean request preparation with proper template handlingThe code properly handles the preparation of request components using Jinja2 templating.
pyproject.toml (1)
3-3: LGTM! Version bump aligns with bug fixesThe version increment from 1.7.6 to 1.7.7 is appropriate for bug fixes.
| try: | ||
| json_body = ( | ||
| json.loads(prepared_body, strict=False) | ||
| if prepared_body | ||
| else None | ||
| ) | ||
| except json.JSONDecodeError as e: | ||
| debug_info = debug_json_structure(prepared_body, e) | ||
| return self._create_step_result( | ||
| status="error", | ||
| data=json.dumps( | ||
| { | ||
| "message": f"Failed to parse request body as JSON", | ||
| "error_type": "JSONDecodeError", | ||
| "error_details": str(e), | ||
| "debug_info": debug_info, | ||
| }, | ||
| indent=2, | ||
| ), | ||
| start_time=start_time, | ||
| ) |
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🛠️ Refactor suggestion
Fix f-string and improve error message structure
The error handling is comprehensive, but there are a few improvements needed:
- Remove unnecessary f-string prefix (line 145)
- Consider structuring error messages consistently across the class
- "message": f"Failed to parse request body as JSON",
+ "message": "Failed to parse request body as JSON",📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| try: | |
| json_body = ( | |
| json.loads(prepared_body, strict=False) | |
| if prepared_body | |
| else None | |
| ) | |
| except json.JSONDecodeError as e: | |
| debug_info = debug_json_structure(prepared_body, e) | |
| return self._create_step_result( | |
| status="error", | |
| data=json.dumps( | |
| { | |
| "message": f"Failed to parse request body as JSON", | |
| "error_type": "JSONDecodeError", | |
| "error_details": str(e), | |
| "debug_info": debug_info, | |
| }, | |
| indent=2, | |
| ), | |
| start_time=start_time, | |
| ) | |
| try: | |
| json_body = ( | |
| json.loads(prepared_body, strict=False) | |
| if prepared_body | |
| else None | |
| ) | |
| except json.JSONDecodeError as e: | |
| debug_info = debug_json_structure(prepared_body, e) | |
| return self._create_step_result( | |
| status="error", | |
| data=json.dumps( | |
| { | |
| "message": "Failed to parse request body as JSON", | |
| "error_type": "JSONDecodeError", | |
| "error_details": str(e), | |
| "debug_info": debug_info, | |
| }, | |
| indent=2, | |
| ), | |
| start_time=start_time, | |
| ) |
🧰 Tools
🪛 Ruff (0.8.2)
145-145: f-string without any placeholders
Remove extraneous f prefix
(F541)
| @@ -37,7 +35,7 @@ textdistance = "^4.6.3" | |||
| textstat = "^0.7.4" | |||
| chromadb-client = "^0.5.20" | |||
| llama-index = "^0.11.0" | |||
| llama-index-vector-stores-pinecone = "^0.2.0" | |||
| llama-index-vector-stores-pinecone = "^0.3.1" | |||
There was a problem hiding this comment.
💡 Codebase verification
Direct qdrant-client dependency is required
The qdrant-client package cannot be removed as it's actively used in athina/steps/qdrant_retrieval.py. The QdrantRetrieval class directly instantiates qdrant_client.QdrantClient for vector store operations.
athina/steps/qdrant_retrieval.py: Usesqdrant_client.QdrantClientfor core functionality
🔗 Analysis chain
Verify dependency changes impact
The update to llama-index-vector-stores-pinecone looks good, but please verify:
- That removing direct pinecone-client and qdrant-client dependencies doesn't break any direct usage
- That the new version of llama-index-vector-stores-pinecone is compatible with your usage
Run this script to check for direct usage of removed packages:
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for direct imports of removed packages
echo "Checking for direct pinecone-client usage..."
rg "import pinecone" || rg "from pinecone"
echo "Checking for direct qdrant-client usage..."
rg "import qdrant" || rg "from qdrant"
Length of output: 312
Script:
#!/bin/bash
# Check content and usage of qdrant_retrieval.py
echo "Content of qdrant_retrieval.py:"
cat athina/steps/qdrant_retrieval.py
echo -e "\nChecking for references to qdrant_retrieval.py:"
rg -l "qdrant_retrieval"
Length of output: 3741
Summary by CodeRabbit
Release Notes v1.7.7
New Features
Improvements
Dependency Updates
Bug Fixes