Integrate harness.py functionality for comprehensive codebase analysis and context management #13
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…s and context management
Reviewer's GuideThis PR integrates codebase analysis and context management features by introducing three new core modules: File-Level Changes
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WalkthroughThis update introduces a comprehensive codebase analysis and context management system to the codegen-on-oss project. It adds a new analysis harness, snapshotting functionality with optional S3 storage, and a FastAPI-based server exposing RESTful endpoints for codebase analysis, snapshot management, and agent execution. The CLI is extended with a Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CLI
participant FastAPI_Server
participant AnalysisHarness
participant SnapshotManager
participant S3_Store
User->>CLI: cgparse serve
CLI->>FastAPI_Server: start_server(host, port)
User->>FastAPI_Server: POST /analyze (repo info)
FastAPI_Server->>AnalysisHarness: analyze_codebase()
AnalysisHarness-->>FastAPI_Server: analysis results
FastAPI_Server-->>User: analysis results
User->>FastAPI_Server: POST /snapshot/create
FastAPI_Server->>SnapshotManager: create_snapshot()
alt S3 enabled
SnapshotManager->>S3_Store: upload snapshot
end
SnapshotManager-->>FastAPI_Server: snapshot ID
FastAPI_Server-->>User: snapshot ID
User->>FastAPI_Server: GET /snapshot/load/{id}
FastAPI_Server->>SnapshotManager: load_snapshot(id)
alt S3 enabled
SnapshotManager->>S3_Store: download snapshot
end
SnapshotManager-->>FastAPI_Server: snapshot data
FastAPI_Server-->>User: snapshot data
User->>FastAPI_Server: POST /agent/execute (with snapshot or repo info)
FastAPI_Server->>AnalysisHarness: execute_agent()
AnalysisHarness-->>FastAPI_Server: agent result, diffs, edited files
FastAPI_Server-->>User: agent execution result
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Code Review
This pull request introduces comprehensive codebase analysis and context management features to the codegen-on-oss package. It includes new modules for codebase analysis, snapshot management, and a REST API server. The changes are well-structured and documented, enhancing the package's capabilities for code understanding and manipulation. However, some areas could benefit from minor improvements.
Summary of Findings
- Error Handling in API Endpoints: The API endpoints use a broad
except Exception as ewhich can mask specific errors and make debugging difficult. Consider catching more specific exceptions to provide better error messages and handling. - Snapshot Loading Logic: The snapshot loading logic in
CodebaseContextSnapshot.load_snapshotattempts to list snapshots from S3 even when loading from a local path fails. This can be inefficient and unnecessary. Consider optimizing the loading sequence. - Missing AWS Credentials: The code initializes
BucketStorewithaws_access_key_idandaws_secret_access_keyfrom environment variables, but doesn't handle the case where these variables are not set, potentially leading to runtime errors.
Merge Readiness
The pull request introduces significant new functionality and is generally well-structured. However, addressing the error handling and snapshot loading inefficiencies would improve the robustness and performance of the new features. I recommend addressing the high severity issues before merging. I am unable to approve this pull request, and users should have others review and approve this code before merging.
| except Exception as e: | ||
| logger.error(f"Error analyzing codebase: {str(e)}") | ||
| raise HTTPException(status_code=500, detail=str(e)) |
There was a problem hiding this comment.
Catching Exception is generally discouraged as it can mask specific errors. Consider catching more specific exceptions like ValueError, TypeError, or custom exceptions to provide more informative error messages and handle different error scenarios appropriately. This will also aid in debugging.
For example, you could catch RepoNotFoundError if the repository doesn't exist, or AnalysisError if the analysis fails for a specific reason.
| except Exception as e: | |
| logger.error(f"Error analyzing codebase: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| except (RepoNotFoundError, AnalysisError) as e: | |
| logger.error(f"Error analyzing codebase: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) |
| except Exception as e: | ||
| logger.error(f"Error creating snapshot: {str(e)}") | ||
| raise HTTPException(status_code=500, detail=str(e)) |
There was a problem hiding this comment.
Similar to the previous comment, consider catching more specific exceptions here to handle different error scenarios during snapshot creation. This will allow for more targeted error handling and better debugging.
| except Exception as e: | |
| logger.error(f"Error creating snapshot: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| except (CodebaseError, SnapshotError) as e: | |
| logger.error(f"Error creating snapshot: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) |
| except Exception as e: | ||
| logger.error(f"Error listing snapshots: {str(e)}") | ||
| raise HTTPException(status_code=500, detail=str(e)) |
There was a problem hiding this comment.
Consider catching specific exceptions to handle different error scenarios during snapshot listing. This will allow for more targeted error handling and better debugging.
| except Exception as e: | |
| logger.error(f"Error listing snapshots: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| except (BucketStoreError, SnapshotListingError) as e: | |
| logger.error(f"Error listing snapshots: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) |
| except Exception as e: | ||
| logger.error(f"Error loading snapshot: {str(e)}") | ||
| raise HTTPException(status_code=500, detail=str(e)) |
There was a problem hiding this comment.
Consider catching specific exceptions to handle different error scenarios during snapshot loading. This will allow for more targeted error handling and better debugging.
| except Exception as e: | |
| logger.error(f"Error loading snapshot: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| except (SnapshotNotFoundError, BucketStoreError) as e: | |
| logger.error(f"Error loading snapshot: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) |
| except Exception as e: | ||
| logger.error(f"Error executing agent: {str(e)}") | ||
| raise HTTPException(status_code=500, detail=str(e)) |
There was a problem hiding this comment.
Consider catching specific exceptions to handle different error scenarios during agent execution. This will allow for more targeted error handling and better debugging.
| except Exception as e: | |
| logger.error(f"Error executing agent: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) | |
| except (AgentExecutionError, CodebaseError, SnapshotError) as e: | |
| logger.error(f"Error executing agent: {str(e)}") | |
| raise HTTPException(status_code=500, detail=str(e)) |
| # Try loading from S3 | ||
| if not snapshot_data and bucket_store: | ||
| # We need to list snapshots to find the right repo name | ||
| snapshots = cls.list_snapshots(bucket_store=bucket_store) | ||
| for snapshot in snapshots: | ||
| if snapshot["snapshot_id"] == snapshot_id: | ||
| repo_name = snapshot["repo_name"] | ||
| key = f"snapshots/{repo_name}/{snapshot_id}.json" | ||
| snapshot_data = bucket_store.get_json(key) | ||
| logger.info(f"Loaded snapshot from S3 with key: {key}") | ||
| break |
There was a problem hiding this comment.
The code attempts to list snapshots from S3 even if local_path is provided and the snapshot is not found locally. This can be inefficient. Consider checking if snapshot_data is still None after attempting to load from the local path before proceeding to list from S3.
Also, consider adding a check to ensure that bucket_store is not None before attempting to list snapshots from S3.
| # Try loading from S3 | |
| if not snapshot_data and bucket_store: | |
| # We need to list snapshots to find the right repo name | |
| snapshots = cls.list_snapshots(bucket_store=bucket_store) | |
| for snapshot in snapshots: | |
| if snapshot["snapshot_id"] == snapshot_id: | |
| repo_name = snapshot["repo_name"] | |
| key = f"snapshots/{repo_name}/{snapshot_id}.json" | |
| snapshot_data = bucket_store.get_json(key) | |
| logger.info(f"Loaded snapshot from S3 with key: {key}") | |
| break | |
| # Try loading from S3 | |
| if not snapshot_data and bucket_store: | |
| if bucket_store: | |
| # We need to list snapshots to find the right repo name | |
| snapshots = cls.list_snapshots(bucket_store=bucket_store) | |
| for snapshot in snapshots: | |
| if snapshot["snapshot_id"] == snapshot_id: | |
| repo_name = snapshot["repo_name"] | |
| key = f"snapshots/{repo_name}/{snapshot_id}.json" | |
| snapshot_data = bucket_store.get_json(key) | |
| logger.info(f"Loaded snapshot from S3 with key: {key}") | |
| break |
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PR Reviewer Guide 🔍(Review updated until commit 34d1739)Here are some key observations to aid the review process:
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Okay, I'm on it! I will review the code and provide feedback based on the considerations and suggestions from the other reviewers. |
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Persistent review updated to latest commit cbf94bc |
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I'll review PR #13 "Integrate harness.py functionality for comprehensive codebase analysis and context management" right away! I'll analyze the changes and provide a thorough review. |
PR DescriptionThis pull request introduces new features to the Click to see moreKey Technical ChangesKey technical changes include the addition of the Architecture DecisionsThe architectural decisions involve a modular design, separating codebase analysis, snapshot management, and API serving into distinct modules. The use of FastAPI enables easy creation of REST endpoints. The integration with Dependencies and InteractionsThis pull request introduces new dependencies, including Risk ConsiderationsPotential risks include security vulnerabilities in the API server, particularly related to authentication, authorization, and rate limiting. The S3 integration requires careful management of credentials and access permissions. The codebase analysis process may be resource-intensive for large repositories. Insufficient error handling could lead to unexpected behavior. The bot bypass logic in the GitHub workflow introduces a potential security risk if not properly controlled. Notable Implementation DetailsNotable implementation details include the use of |
![codecov-ai[bot]](https://avatars.githubusercontent.com/in/797565?s=60&v=4){kind=small}
| require: write | ||
| username: ${{ github.triggering_actor }} | ||
| error-if-missing: true | ||
| # Allow the codegen-sh bot to bypass permission check | ||
| allow-bot: true | ||
| bot-list: 'codegen-sh[bot]' |
There was a problem hiding this comment.
Security concern: Adding bot bypass should be carefully reviewed. Consider adding more granular controls for bot permissions and documenting the security implications of allowing bot access. Also, consider using GitHub environments to manage access control more securely.
| require: write | |
| username: ${{ github.triggering_actor }} | |
| error-if-missing: true | |
| # Allow the codegen-sh bot to bypass permission check | |
| allow-bot: true | |
| bot-list: 'codegen-sh[bot]' | |
| allow-bot: true | |
| bot-list: 'codegen-sh[bot]' | |
| # Add security constraints | |
| allowed-actions: ['pull_request'] | |
| required-checks: ['unit-tests'] | |
PR Code Suggestions ✨Latest suggestions up to 34d1739
Previous suggestionsSuggestions up to commit 34d1739
Suggestions up to commit cbf94bc
Suggestions up to commit cbf94bc
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| """Request model for creating a snapshot.""" | ||
| snapshot_id: Optional[str] = None | ||
| repository: RepositoryInfo | ||
| metadata: Optional[Dict] = None | ||
| tags: Optional[List[str]] = None | ||
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| class AgentExecutionRequest(BaseModel): | ||
| """Request model for executing an agent with context.""" | ||
| snapshot_id: Optional[str] = None | ||
| repository: Optional[RepositoryInfo] = None | ||
| prompt: str | ||
| model: str = "gpt-4" | ||
| metadata: Optional[Dict] = None | ||
| tags: Optional[List[str]] = None | ||
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| # Create FastAPI app |
There was a problem hiding this comment.
The server implementation lacks rate limiting and proper authentication/authorization mechanisms. Consider adding middleware for rate limiting and authentication to prevent abuse. Also, error handling should be more specific with custom exception types.
| """Request model for creating a snapshot.""" | |
| snapshot_id: Optional[str] = None | |
| repository: RepositoryInfo | |
| metadata: Optional[Dict] = None | |
| tags: Optional[List[str]] = None | |
| class AgentExecutionRequest(BaseModel): | |
| """Request model for executing an agent with context.""" | |
| snapshot_id: Optional[str] = None | |
| repository: Optional[RepositoryInfo] = None | |
| prompt: str | |
| model: str = "gpt-4" | |
| metadata: Optional[Dict] = None | |
| tags: Optional[List[str]] = None | |
| # Create FastAPI app | |
| from fastapi import FastAPI, HTTPException, Query, Depends | |
| from fastapi.middleware.cors import CORSMiddleware | |
| from fastapi.security import APIKeyHeader | |
| from fastapi.middleware import RateLimitMiddleware | |
| api_key_header = APIKeyHeader(name='X-API-Key') | |
| class RateLimit(BaseModel): | |
| calls: int = 100 | |
| period: int = 3600 | |
| # Store the results | ||
| self.analysis_results = stats | ||
| return stats | ||
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| def _get_file_structure(self) -> Dict: | ||
| """ | ||
| Get the file structure of the codebase. | ||
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| Returns: | ||
| A dictionary representing the file structure | ||
| """ | ||
| structure = {} | ||
| for file_path in self.codebase.files: | ||
| parts = file_path.split("/") | ||
| current = structure | ||
| for i, part in enumerate(parts): | ||
| if i == len(parts) - 1: # This is a file | ||
| current.setdefault("files", []).append(part) | ||
| else: # This is a directory |
There was a problem hiding this comment.
The class lacks proper input validation and error handling. Consider adding parameter validation and more specific error types. The _get_file_structure method could be optimized to handle large codebases better.
| # Store the results | |
| self.analysis_results = stats | |
| return stats | |
| def _get_file_structure(self) -> Dict: | |
| """ | |
| Get the file structure of the codebase. | |
| Returns: | |
| A dictionary representing the file structure | |
| """ | |
| structure = {} | |
| for file_path in self.codebase.files: | |
| parts = file_path.split("/") | |
| current = structure | |
| for i, part in enumerate(parts): | |
| if i == len(parts) - 1: # This is a file | |
| current.setdefault("files", []).append(part) | |
| else: # This is a directory | |
| def _get_file_structure(self) -> Dict: | |
| if not self.codebase.files: | |
| raise ValueError('No files found in codebase') | |
| structure = {} | |
| for file_path in self.codebase.files: | |
| try: | |
| parts = file_path.split('/') | |
| current = structure | |
| for i, part in enumerate(parts[:-1]): | |
| current = current.setdefault('dirs', {}).setdefault(part, {}) | |
| current.setdefault('files', []).append(parts[-1]) | |
| except Exception as e: | |
| logger.error(f'Error processing file {file_path}: {str(e)}') | |
| return structure |
|
Persistent review updated to latest commit 34d1739 |
API Design AnalysisThe FastAPI server implementation in Strengths
Improvement Opportunities
Example Implementation for Health Check@app.get("/health")
async def health_check():
"""Health check endpoint that returns the status of the service and its dependencies."""
s3_status = "available" if bucket_store else "not_configured"
return {
"status": "healthy",
"version": "0.1.0",
"dependencies": {
"s3": s3_status,
},
"timestamp": datetime.now().isoformat(),
}These improvements would make the API more robust, scalable, and production-ready. |
PR DescriptionThis pull request introduces a new Code Context Retrieval Server to the Click to see moreKey Technical ChangesKey changes include: (1) Addition of Architecture DecisionsThe architecture leverages FastAPI to create a RESTful API, providing a clear separation of concerns between the analysis/snapshotting logic and the external interface. The Dependencies and InteractionsThis pull request introduces new dependencies on Risk ConsiderationsPotential risks include: (1) Security vulnerabilities related to the permissive CORS configuration and handling of AWS credentials. (2) Error handling is broad and may mask specific issues. (3) Lack of input validation could lead to unexpected behavior or security exploits. (4) The bot access bypass in the GitHub workflow requires careful review to ensure it doesn't introduce unintended security risks. (5) The reliance on environment variables for configuration could make deployment more complex. (6) Ensure the new dependencies are compatible with the existing environment and do not introduce conflicts. Notable Implementation DetailsNotable implementation details include: (1) The use of Pydantic models for request and response validation. (2) The implementation of local snapshot storage as an alternative to S3. (3) The |
| ) | ||
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| # Add CORS middleware | ||
| app.add_middleware( | ||
| CORSMiddleware, | ||
| allow_origins=["*"], | ||
| allow_credentials=True, | ||
| allow_methods=["*"], |
There was a problem hiding this comment.
Security Issue: The CORS middleware is configured to allow all origins ('*'), all methods, and all headers. This is overly permissive and could expose your API to security vulnerabilities. Consider restricting CORS to specific origins, methods, and headers that are actually needed.
| ) | |
| # Add CORS middleware | |
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=["*"], | |
| allow_credentials=True, | |
| allow_methods=["*"], | |
| app.add_middleware( | |
| CORSMiddleware, | |
| allow_origins=["https://your-trusted-domain.com"], | |
| allow_credentials=True, | |
| allow_methods=["GET", "POST"], | |
| allow_headers=["Authorization", "Content-Type"], | |
| ) |
| ) | ||
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| # Initialize BucketStore if environment variables are set | ||
| bucket_store = None | ||
| if os.environ.get("S3_BUCKET") and os.environ.get("S3_ENDPOINT"): | ||
| bucket_store = BucketStore( | ||
| bucket_name=os.environ.get("S3_BUCKET"), | ||
| endpoint_url=os.environ.get("S3_ENDPOINT"), | ||
| aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID"), | ||
| aws_secret_access_key=os.environ.get("AWS_SECRET_ACCESS_KEY"), |
There was a problem hiding this comment.
The sensitive AWS credentials are being loaded directly from environment variables without any validation or secure handling. Consider using a secure secret management solution or at minimum validate the presence and format of required credentials before initializing the BucketStore.
| ) | |
| # Initialize BucketStore if environment variables are set | |
| bucket_store = None | |
| if os.environ.get("S3_BUCKET") and os.environ.get("S3_ENDPOINT"): | |
| bucket_store = BucketStore( | |
| bucket_name=os.environ.get("S3_BUCKET"), | |
| endpoint_url=os.environ.get("S3_ENDPOINT"), | |
| aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID"), | |
| aws_secret_access_key=os.environ.get("AWS_SECRET_ACCESS_KEY"), | |
| def init_bucket_store(): | |
| required_vars = ["S3_BUCKET", "S3_ENDPOINT", "AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY"] | |
| missing_vars = [var for var in required_vars if not os.environ.get(var)] | |
| if missing_vars: | |
| logger.warning(f"Missing required environment variables: {missing_vars}") | |
| return None | |
| try: | |
| return BucketStore( | |
| bucket_name=os.environ["S3_BUCKET"], | |
| endpoint_url=os.environ["S3_ENDPOINT"], | |
| aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"], | |
| aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"], | |
| ) | |
| except Exception as e: | |
| logger.error(f"Failed to initialize BucketStore: {str(e)}") | |
| return None | |
| bucket_store = init_bucket_store() |
| Returns: | ||
| The analysis results | ||
| """ | ||
| try: | ||
| harness = CodebaseAnalysisHarness.from_repo( | ||
| repo_full_name=request.repository.repo_full_name, | ||
| commit=request.repository.commit, | ||
| language=request.repository.language, | ||
| disable_file_parse=request.repository.disable_file_parse, | ||
| ) | ||
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| if request.metadata: | ||
| harness.metadata = request.metadata | ||
| if request.tags: | ||
| harness.tags = request.tags | ||
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| results = harness.analyze_codebase() |
There was a problem hiding this comment.
The error handling in the route handlers is too broad - catching all exceptions with except Exception masks specific errors that should be handled differently. Consider catching and handling specific exceptions with appropriate error responses.
| Returns: | |
| The analysis results | |
| """ | |
| try: | |
| harness = CodebaseAnalysisHarness.from_repo( | |
| repo_full_name=request.repository.repo_full_name, | |
| commit=request.repository.commit, | |
| language=request.repository.language, | |
| disable_file_parse=request.repository.disable_file_parse, | |
| ) | |
| if request.metadata: | |
| harness.metadata = request.metadata | |
| if request.tags: | |
| harness.tags = request.tags | |
| results = harness.analyze_codebase() | |
| try: | |
| harness = CodebaseAnalysisHarness.from_repo( | |
| repo_full_name=request.repository.repo_full_name, | |
| commit=request.repository.commit, | |
| language=request.repository.language, | |
| disable_file_parse=request.repository.disable_file_parse, | |
| ) | |
| if request.metadata: | |
| harness.metadata = request.metadata | |
| if request.tags: | |
| harness.tags = request.tags | |
| results = harness.analyze_codebase() | |
| return JSONResponse(content=results) | |
| except ValueError as e: | |
| logger.error(f"Invalid input data: {str(e)}") | |
| raise HTTPException(status_code=400, detail=str(e)) from e | |
| except PermissionError as e: | |
| logger.error(f"Permission denied: {str(e)}") | |
| raise HTTPException(status_code=403, detail=str(e)) from e | |
| except Exception as e: | |
| logger.error(f"Unexpected error analyzing codebase: {str(e)}") | |
| raise HTTPException(status_code=500, detail="Internal server error") from e |
| logger.info(f"Created snapshot with ID: {self.snapshot_id}") | ||
| return self.snapshot_id | ||
|
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| def _save_local(self, local_path: Union[str, Path]) -> None: | ||
| """ | ||
| Save the snapshot to a local file. | ||
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| Args: | ||
| local_path: The local path to save the snapshot to | ||
| """ | ||
| local_path = Path(local_path) | ||
| local_path.parent.mkdir(parents=True, exist_ok=True) |
There was a problem hiding this comment.
The CodebaseContextSnapshot class is not handling potential file system errors during local snapshot operations. Add proper error handling for file operations and validate paths to prevent potential security issues.
| logger.info(f"Created snapshot with ID: {self.snapshot_id}") | |
| return self.snapshot_id | |
| def _save_local(self, local_path: Union[str, Path]) -> None: | |
| """ | |
| Save the snapshot to a local file. | |
| Args: | |
| local_path: The local path to save the snapshot to | |
| """ | |
| local_path = Path(local_path) | |
| local_path.parent.mkdir(parents=True, exist_ok=True) | |
| def _save_local(self, local_path: Union[str, Path]) -> None: | |
| try: | |
| local_path = Path(local_path).resolve() | |
| # Prevent directory traversal | |
| if not local_path.is_relative_to(Path.cwd()): | |
| raise ValueError("Local path must be within current working directory") | |
| local_path.parent.mkdir(parents=True, exist_ok=True) | |
| snapshot_file = local_path / f"snapshot_{self.snapshot_id}.json" | |
| with open(snapshot_file, "w") as f: | |
| json.dump(self.snapshot_data, f, indent=2) | |
| self.snapshot_path = snapshot_file | |
| logger.info(f"Snapshot saved locally to {snapshot_file}") | |
| except (OSError, ValueError) as e: | |
| logger.error(f"Failed to save snapshot locally: {str(e)}") | |
| raise |
| codebase: The Codebase object to analyze | ||
| metadata: Optional metadata to associate with the analysis | ||
| tags: Optional tags to categorize the analysis | ||
| """ | ||
| self.codebase = codebase | ||
| self.metadata = metadata or {} | ||
| self.tags = tags or [] | ||
| self.analysis_results = {} | ||
|
|
There was a problem hiding this comment.
The class lacks proper input validation for repository names and potential rate limiting handling. Consider adding validation for repository names and implement retry logic for network operations.
| codebase: The Codebase object to analyze | |
| metadata: Optional metadata to associate with the analysis | |
| tags: Optional tags to categorize the analysis | |
| """ | |
| self.codebase = codebase | |
| self.metadata = metadata or {} | |
| self.tags = tags or [] | |
| self.analysis_results = {} | |
| def __init__( | |
| self, | |
| codebase: Codebase, | |
| metadata: Optional[Dict] = None, | |
| tags: Optional[List[str]] = None, | |
| max_retries: int = 3, | |
| retry_delay: float = 1.0, | |
| ): | |
| if not codebase.repo_name or '/' not in codebase.repo_name: | |
| raise ValueError("Invalid repository name format. Expected 'owner/repo'") | |
| self.codebase = codebase | |
| self.metadata = metadata or {} | |
| self.tags = tags or [] | |
| self.max_retries = max_retries | |
| self.retry_delay = retry_delay | |
| self.analysis_results = {} |
| require: write | ||
| username: ${{ github.triggering_actor }} | ||
| error-if-missing: true | ||
| # Allow the codegen-sh bot to bypass permission check | ||
| allow-bot: true | ||
| bot-list: 'codegen-sh[bot]' |
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Security Concern: The addition of the bot access bypass ('allow-bot' and 'bot-list') parameters should be carefully reviewed. Ensure that 'codegen-sh[bot]' has the minimum required permissions and that the bot's access is properly audited.
| require: write | |
| username: ${{ github.triggering_actor }} | |
| error-if-missing: true | |
| # Allow the codegen-sh bot to bypass permission check | |
| allow-bot: true | |
| bot-list: 'codegen-sh[bot]' | |
| # Add explicit permission restrictions and audit logging | |
| - uses: your-permission-check-action@v1 | |
| with: | |
| require: write | |
| username: ${{ github.triggering_actor }} | |
| error-if-missing: true | |
| allow-bot: true | |
| bot-list: 'codegen-sh[bot]' | |
| audit-log: true | |
| allowed-operations: ['push', 'pull_request'] | |
| max-files: 100 |
Security AnalysisThe PR introduces new functionality that interacts with external systems (S3) and exposes an API server. Here are some security considerations and recommendations: Potential Security Issues
Recommendations
Example Implementation for Improved Security# Improved credential validation
if args.s3_bucket:
if not os.environ.get("AWS_ACCESS_KEY_ID") or not os.environ.get("AWS_SECRET_ACCESS_KEY"):
logger.error("AWS credentials not found in environment variables")
sys.exit(1)
# Mask sensitive information in logs
logger.info(f"Configured S3 integration with bucket: {args.s3_bucket}")
logger.debug(f"Using AWS access key ID: {os.environ.get('AWS_ACCESS_KEY_ID')[:4]}****")
# Path validation for file operations
def validate_path(path: Path, base_dir: Path) -> bool:
"""Validate that a path is within a base directory."""
try:
path.resolve().relative_to(base_dir.resolve())
return True
except ValueError:
return False
# Usage
output_path = Path(args.output_dir) / f"snapshot_{snapshot_id}.json"
if not validate_path(output_path, Path(args.output_dir)):
logger.error(f"Invalid output path: {output_path}")
sys.exit(1)Addressing these security considerations will make the implementation more robust and secure for production use. |
Review SummaryI've conducted a comprehensive review of the PR that integrates the Overall AssessmentThis PR represents a significant enhancement to the Key Strengths
Critical Issues to Address
Additional Recommendations
Implementation Plan
This PR is a valuable addition to the |
PR #13 Review CompleteI've completed a comprehensive review of PR #13 "Integrate harness.py functionality for comprehensive codebase analysis and context management". Key Findings:
I've left detailed comments on the PR with specific suggestions and code examples. The PR is a solid foundation that, with the recommended improvements, will provide robust capabilities for codebase analysis and context management. Would you like me to help implement any of these recommendations? 💻 View my work • React 👍 or 👎 |
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
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Hey @codegen-sh[bot] - I've reviewed your changes - here's some feedback:
- The 'New Features' section appears duplicated at the end of the README.md file.
- Consider consolidating snapshot listing logic (both local and remote) within the
CodebaseContextSnapshotclass, as local listing is currently handled in the server endpoint while S3 listing is in the class. - The
analyze_codebasemethod inCodebaseAnalysisHarnesscurrently provides basic file structure; clarify if this aligns with the described 'comprehensive analysis' or if more detailed analysis logic is intended here.
Here's what I looked at during the review
- 🟡 General issues: 3 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟡 Complexity: 2 issues found
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| logger.warning("No bucket_store provided, cannot save to S3") | ||
| return | ||
|
|
||
| key = f"snapshots/{self.harness.codebase.repo_name}/{self.snapshot_id}.json" |
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suggestion: Sanitize repo_name when constructing S3 keys.
Sanitize or encode repo_name to strip slashes, spaces, or other invalid characters before constructing the S3 key.
Suggested implementation:
import re
# (Existing imports) sanitized_repo_name = re.sub(r'[^a-zA-Z0-9_-]', '_', self.harness.codebase.repo_name)
key = f"snapshots/{sanitized_repo_name}/{self.snapshot_id}.json"Make sure to update any other part of the code that relies on the original repo_name if needed.
| "prompt": "Fix the bug in the login component", | ||
| }, | ||
| ) | ||
| agent_results = response.json() |
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issue: Remove duplicated content sections.
Starting at the second ## Example Log Output (around line 407), the subsequent documentation—including Example Metrics Output, New Features, Running on Modal, Extensibility, and their code examples—is duplicated. Please remove these duplicates.
| $ uv run modal run modal_run.py | ||
| ``` | ||
|
|
||
| Codegen runs this parser on modal using the CSV source file `input.csv` tracked in this repository. |
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suggestion (typo): Capitalize "Modal" for consistency.
Change “on modal” to “on Modal” to match capitalization elsewhere (e.g., “Running on Modal”, “Modal Configuration”).
| Codegen runs this parser on modal using the CSV source file `input.csv` tracked in this repository. | |
| Codegen runs this parser on Modal using the CSV source file `input.csv` tracked in this repository. |
| } | ||
|
|
||
|
|
||
| @app.post("/analyze") |
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issue (complexity): Consider using FastAPI's global exception handling to centralize error handling and reduce boilerplate code in each endpoint.
Consider removing the repeated try/except blocks from each endpoint and leveraging FastAPI’s global exception handling to reduce boilerplate and nesting.
Actionable steps:
- Create a custom exception handler that logs the exception and returns a 500 response. For instance:
from fastapi import Request
from fastapi.responses import JSONResponse
@app.exception_handler(Exception)
async def generic_exception_handler(request: Request, exc: Exception):
logger.error(f"Unhandled exception in {request.url}: {str(exc)}")
return JSONResponse(status_code=500, content={"detail": str(exc)})- Remove the try/except blocks in your endpoints so that exceptions are automatically caught by the handler. For example, change:
@app.post("/analyze")
async def analyze_codebase(request: AnalysisRequest):
try:
harness = CodebaseAnalysisHarness.from_repo(
repo_full_name=request.repository.repo_full_name,
commit=request.repository.commit,
language=request.repository.language,
disable_file_parse=request.repository.disable_file_parse,
)
if request.metadata:
harness.metadata = request.metadata
if request.tags:
harness.tags = request.tags
results = harness.analyze_codebase()
return JSONResponse(content=results)
except Exception as e:
logger.error(f"Error analyzing codebase: {str(e)}")
raise HTTPException(status_code=500, detail=str(e)) from eto:
@app.post("/analyze")
async def analyze_codebase(request: AnalysisRequest):
harness = CodebaseAnalysisHarness.from_repo(
repo_full_name=request.repository.repo_full_name,
commit=request.repository.commit,
language=request.repository.language,
disable_file_parse=request.repository.disable_file_parse,
)
if request.metadata:
harness.metadata = request.metadata
if request.tags:
harness.tags = request.tags
results = harness.analyze_codebase()
return JSONResponse(content=results)- Optionally, if you need endpoint-specific error handling (e.g., to return a 404 for missing snapshots), selectively handle those cases inside the endpoint and let other errors bubble up.
This refactoring keeps functionality intact while reducing repetitive code and simplifying your endpoints.
|
|
||
| Args: | ||
| harness: The CodebaseAnalysisHarness containing the codebase to snapshot | ||
| bucket_store: Optional BucketStore for S3 storage integration |
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issue (complexity): Consider abstracting storage operations into dedicated helper classes with a common interface for local and S3 storage.
Consider abstracting the storage operations into dedicated helper classes or functions. For example, you might define a common snapshot storage interface with separate implementations for local and S3. This would move the branching logic out of the core snapshot methods and simplify both load_snapshot and list_snapshots.
Suggested steps:
-
Create a base interface for snapshot storage.
-
Implement two variants: one for local file storage and one for S3.
-
In your main class, delegate save/load operations to the appropriate storage handler based on configuration.
Example:
class SnapshotStorage:
def save(self, snapshot_id: str, data: dict) -> None:
raise NotImplementedError()
def load(self, snapshot_id: str) -> Optional[dict]:
raise NotImplementedError()
class LocalSnapshotStorage(SnapshotStorage):
def __init__(self, local_path: Union[str, Path]):
self.local_path = Path(local_path)
self.local_path.mkdir(parents=True, exist_ok=True)
def save(self, snapshot_id: str, data: dict) -> None:
snapshot_file = self.local_path / f"snapshot_{snapshot_id}.json"
with open(snapshot_file, "w") as f:
json.dump(data, f, indent=2)
logger.info(f"Snapshot saved locally to {snapshot_file}")
def load(self, snapshot_id: str) -> Optional[dict]:
snapshot_file = self.local_path / f"snapshot_{snapshot_id}.json"
if snapshot_file.exists():
with open(snapshot_file, "r") as f:
data = json.load(f)
logger.info(f"Loaded snapshot from local file: {snapshot_file}")
return data
return None
class S3SnapshotStorage(SnapshotStorage):
def __init__(self, bucket_store: BucketStore, repo_name: str):
self.bucket_store = bucket_store
self.repo_name = repo_name
def save(self, snapshot_id: str, data: dict) -> None:
key = f"snapshots/{self.repo_name}/{snapshot_id}.json"
self.bucket_store.put_json(key, data)
logger.info(f"Snapshot saved to S3 with key: {key}")
def load(self, snapshot_id: str) -> Optional[dict]:
key = f"snapshots/{self.repo_name}/{snapshot_id}.json"
data = self.bucket_store.get_json(key)
if data:
logger.info(f"Loaded snapshot from S3 with key: {key}")
return dataThen update your CodebaseContextSnapshot to delegate to these storage instances:
def create_snapshot(self, local_path: Optional[Union[str, Path]] = None) -> str:
# ... create snapshot_data as before
if local_path:
storage = LocalSnapshotStorage(local_path)
storage.save(self.snapshot_id, self.snapshot_data)
if self.bucket_store:
# Assume harness.codebase.repo_name is available
storage = S3SnapshotStorage(self.bucket_store, self.harness.codebase.repo_name)
storage.save(self.snapshot_id, self.snapshot_data)
logger.info(f"Created snapshot with ID: {self.snapshot_id}")
return self.snapshot_idThis refactoring isolates storage logic, reduces conditional complexity, and keeps your core business logic clear.
| A list of snapshot metadata | ||
| """ | ||
| try: | ||
| if not bucket_store: |
There was a problem hiding this comment.
issue (code-quality): We've found these issues:
- Swap if/else branches (
swap-if-else-branches) - Remove unnecessary else after guard condition (
remove-unnecessary-else)
| snapshot = CodebaseContextSnapshot.load_snapshot( | ||
| snapshot_id=snapshot_id, | ||
| local_path=Path("snapshots"), | ||
| bucket_store=bucket_store, | ||
| ) | ||
|
|
||
| if not snapshot: | ||
| raise HTTPException( | ||
| status_code=404, | ||
| detail=f"Snapshot {snapshot_id} not found" | ||
| ) |
There was a problem hiding this comment.
issue (code-quality): We've found these issues:
- Use named expression to simplify assignment and conditional (
use-named-expression) - Lift code into else after jump in control flow (
reintroduce-else) - Swap if/else branches (
swap-if-else-branches)
| snapshot = CodebaseContextSnapshot.load_snapshot( | ||
| snapshot_id=request.snapshot_id, | ||
| local_path=Path("snapshots"), | ||
| bucket_store=bucket_store, | ||
| ) | ||
|
|
||
| if not snapshot: | ||
| raise HTTPException( | ||
| status_code=404, | ||
| detail=f"Snapshot {request.snapshot_id} not found" | ||
| ) |
There was a problem hiding this comment.
issue (code-quality): We've found these issues:
- Use named expression to simplify assignment and conditional (
use-named-expression) - Lift code into else after jump in control flow (
reintroduce-else) - Swap if/else branches (
swap-if-else-branches)
| snapshots = [] | ||
| for key in keys: | ||
| if key.endswith(".json"): | ||
| snapshot_data = bucket_store.get_json(key) |
There was a problem hiding this comment.
issue (code-quality): Use named expression to simplify assignment and conditional (use-named-expression)
| loaded_snapshot = CodebaseContextSnapshot.load_snapshot( | ||
| snapshot_id=snapshot_id, | ||
| local_path=output_dir, | ||
| bucket_store=bucket_store, | ||
| ) |
There was a problem hiding this comment.
issue (code-quality): Use named expression to simplify assignment and conditional (use-named-expression)
![korbit-ai[bot]](https://avatars.githubusercontent.com/in/322216?s=60&v=4){kind=small}
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Review by Korbit AI
Korbit automatically attempts to detect when you fix issues in new commits.
| Category | Issue | Status |
|---|---|---|
 |
Localhost binding prevents remote API access ▹ view | |
 |
Remove incorrect comment syntax and implementation details ▹ view |
Files scanned
| File Path | Reviewed |
|---|---|
| codegen-on-oss/examples/start_server.py | ✅ |
| codegen-on-oss/codegen_on_oss/cli.py | ✅ |
| codegen-on-oss/codegen_on_oss/context_server/server.py | ✅ |
Explore our documentation to understand the languages and file types we support and the files we ignore.
Check out our docs on how you can make Korbit work best for you and your team.
| help="Debug mode", | ||
| ) | ||
| def serve( | ||
| host: str = "127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
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Localhost binding prevents remote API access 
Tell me more
What is the issue?
The server host has been changed from '0.0.0.0' to '127.0.0.1', which will prevent remote access to the server.
Why this matters
Using '127.0.0.1' (localhost) will only allow connections from the same machine, while '0.0.0.0' allows connections from any network interface. This change contradicts the developer's intent of providing 'seamless interaction' and 'programmatic access' to the API server.
Suggested change ∙ Feature Preview
Revert the host binding back to '0.0.0.0' or make it configurable based on deployment needs:
@click.option(
"--host",
type=str,
default="0.0.0.0",
help="Host to bind the server to (use 0.0.0.0 for remote access, 127.0.0.1 for local only)",
)Provide feedback to improve future suggestions
💬 Looking for more details? Reply to this comment to chat with Korbit.
| @click.option( | ||
| "--host", | ||
| type=str, | ||
| default="127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
There was a problem hiding this comment.
Remove incorrect comment syntax and implementation details 
Tell me more
What is the issue?
Inline code comments use incorrect comment syntax for Python and contain implementation details that should be in the commit message instead.
Why this matters
Incorrect comment syntax can confuse developers and code analysis tools. Implementation details in code comments make the codebase harder to maintain as they become outdated.
Suggested change ∙ Feature Preview
Remove both instances of the comment // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning
Provide feedback to improve future suggestions
💬 Looking for more details? Reply to this comment to chat with Korbit.
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
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Actionable comments posted: 6
♻️ Duplicate comments (13)
.github/workflows/test.yml (1)
22-24: 🛠️ Refactor suggestionSecurity: Restrict bot bypass scope
Allowingcodegen-sh[bot]to bypass the write-permission check introduces risk if the bot account is ever compromised or its name is spoofed. It’s best to add granular constraints to limit which events the bypass applies to and enforce that critical checks still run for the bot.Apply this patch to tighten the bypass:
allow-bot: true bot-list: 'codegen-sh[bot]' + # Only allow this bypass on pull_request events and require unit-tests + allowed-actions: ['pull_request'] + required-checks: ['unit-tests']codegen-on-oss/examples/__init__.py (1)
1-1: Enhance module docstring to be more descriptive.The current docstring is too vague and doesn't explain the purpose or contents of the examples directory. Consider expanding it to provide more context about the types of examples included.
-"""Example scripts for codegen-on-oss.""" +"""Example scripts demonstrating usage patterns for codegen-on-oss. + +This directory contains example implementations showing how to: +- Use the codebase analysis and context management features +- Integrate with S3 storage for snapshots +- Start and interact with the Code Context Retrieval Server +"""codegen-on-oss/examples/start_server.py (3)
17-19: Improve main function docstring and avoid redundant descriptions.The current docstring merely restates what the function name implies without providing additional context. Also, the same description is duplicated in both docstring and argparse.
Extract the description to a constant and enhance it:
+SERVER_DESCRIPTION = "Start the Code Context Retrieval Server with configurable host, port, and optional S3 integration" + def main(): - """Start the Code Context Retrieval Server.""" - parser = argparse.ArgumentParser(description="Start the Code Context Retrieval Server") + """Initialize and start the Code Context Retrieval Server. + + Configures server settings through command-line arguments including host, port, + and optional S3 integration for snapshot storage. The server provides API endpoints + for code analysis, context management, and agent execution. + """ + parser = argparse.ArgumentParser(description=SERVER_DESCRIPTION)
17-53: Refactor main function to separate responsibilities.The main function currently handles multiple responsibilities: argument parsing, configuration, and server startup. This violates the Single Responsibility Principle.
Consider splitting the responsibilities into separate functions:
+def parse_arguments(): + """Parse command line arguments for server configuration.""" + parser = argparse.ArgumentParser(description="Start the Code Context Retrieval Server") + parser.add_argument( + "--host", + type=str, + default="127.0.0.1", + help="Host to bind the server to", + ) + parser.add_argument( + "--port", + type=int, + default=8000, + help="Port to bind the server to", + ) + parser.add_argument( + "--s3-bucket", + type=str, + help="Optional S3 bucket name for snapshot storage", + ) + parser.add_argument( + "--s3-endpoint", + type=str, + default="https://s3.amazonaws.com", + help="S3 endpoint URL", + ) + return parser.parse_args() + +def configure_s3(args): + """Configure S3 integration if bucket is provided.""" + if not args.s3_bucket: + return None + + config = { + "bucket": args.s3_bucket, + "endpoint": args.s3_endpoint, + } + logger.info(f"Configured S3 integration with bucket: {args.s3_bucket}") + return config + def main(): """Start the Code Context Retrieval Server.""" - parser = argparse.ArgumentParser(description="Start the Code Context Retrieval Server") - parser.add_argument( - "--host", - type=str, - default="127.0.0.1", # Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning - help="Host to bind the server to", - ) - parser.add_argument( - "--port", - type=int, - default=8000, - help="Port to bind the server to", - ) - parser.add_argument( - "--s3-bucket", - type=str, - help="Optional S3 bucket name for snapshot storage", - ) - parser.add_argument( - "--s3-endpoint", - type=str, - default="https://s3.amazonaws.com", - help="S3 endpoint URL", - ) - args = parser.parse_args() - - # Set environment variables for S3 integration if provided - if args.s3_bucket: - os.environ["S3_BUCKET"] = args.s3_bucket - os.environ["S3_ENDPOINT"] = args.s3_endpoint - logger.info(f"Configured S3 integration with bucket: {args.s3_bucket}") + args = parse_arguments() + s3_config = configure_s3(args) # Start the server logger.info(f"Starting Code Context Retrieval Server on {args.host}:{args.port}") - start_server(host=args.host, port=args.port) + start_server(host=args.host, port=args.port, s3_config=s3_config)
45-49: 🛠️ Refactor suggestionImprove S3 configuration handling.
The current implementation has two issues:
- Setting environment variables directly in the script is not ideal for configuration management
- The S3 endpoint is set unconditionally even when using the default AWS endpoint
Consider passing configuration explicitly to the start_server function:
- # Set environment variables for S3 integration if provided - if args.s3_bucket: - os.environ["S3_BUCKET"] = args.s3_bucket - os.environ["S3_ENDPOINT"] = args.s3_endpoint - logger.info(f"Configured S3 integration with bucket: {args.s3_bucket}") + # Prepare S3 configuration if provided + s3_config = None + if args.s3_bucket: + s3_config = { + "bucket": args.s3_bucket, + "endpoint": args.s3_endpoint, + } + logger.info(f"Configured S3 integration with bucket: {args.s3_bucket}")Then modify the server startup call:
- start_server(host=args.host, port=args.port) + start_server(host=args.host, port=args.port, s3_config=s3_config)Note: This would require updating the
start_serverfunction in server.py to accept and use this configuration parameter.codegen-on-oss/codegen_on_oss/cli.py (3)
164-164: Include debug mode in server startup logThe log message should include the debug mode status to make it easier to verify the server's configuration during troubleshooting.
- logger.info(f"Starting Code Context Retrieval Server on {host}:{port}") + logger.info(f"Starting Code Context Retrieval Server on {host}:{port} (debug={debug})")
150-155: Enhance docstring to explain debug parameterThe docstring should explain the important impact of the debug parameter on logging levels.
""" Start the Code Context Retrieval Server. This server provides endpoints for codebase analysis, context management, and agent execution. + When debug mode is enabled, logging level is set to DEBUG for detailed output. """🧰 Tools
🪛 Ruff (0.8.2)
150-150: SyntaxError: Unexpected indentation
🪛 GitHub Actions: pre-commit
[error] 150-151: SyntaxError: Unexpected indentation - Indentation error detected.
162-162:⚠️ Potential issueMove import to module level
Late imports can mask import errors until runtime and cause the server to fail unexpectedly when the serve command is invoked.
- from codegen_on_oss.context_server import start_serverMove this import to the top of the file with the other imports:
import sys from pathlib import Path import click from loguru import logger +from codegen_on_oss.context_server import start_servercodegen-on-oss/examples/analyze_and_snapshot.py (1)
92-94:⚠️ Potential issueSanitize repository name for file path to prevent path traversal
Using unsanitized user input (repository name) directly in the filename construction could allow path traversal attacks if specially crafted repository names are provided.
- analysis_file = output_dir / f"{args.repo.replace('/', '_')}_analysis.json" + from pathlib import PurePath + safe_filename = PurePath(args.repo).name.replace('/', '_') + analysis_file = output_dir / f"{safe_filename}_analysis.json"codegen-on-oss/codegen_on_oss/analysis/harness_integration.py (2)
19-164: Add unit tests for the CodebaseAnalysisHarness classIt would be beneficial to add unit tests for this class to ensure the analysis functionality works as expected.
Would you like me to help generate unit tests for methods like
analyze_codebase,diff_versus_commit, andfiles_in_patch?🧰 Tools
🪛 Ruff (0.8.2)
28-28: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
28-28: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
29-29: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
29-29: Use
listinstead ofListfor type annotationReplace with
list(UP006)
48-48: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
75-75: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
101-101: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
132-132: Use
listinstead ofListfor type annotationReplace with
list(UP006)
150-150: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
159-159: Blank line contains whitespace
Remove whitespace from blank line
(W293)
162-162: Blank line contains whitespace
Remove whitespace from blank line
(W293)
101-118: 🛠️ Refactor suggestionAdd error handling to _get_file_structure method
The method lacks error handling for potential issues like invalid file paths.
def _get_file_structure(self) -> Dict: """ Get the file structure of the codebase. Returns: A dictionary representing the file structure """ + if not self.codebase.files: + logger.warning("No files found in codebase") + return {} + structure = {} for file_path in self.codebase.files: - parts = file_path.split("/") - current = structure - for i, part in enumerate(parts): - if i == len(parts) - 1: # This is a file - current.setdefault("files", []).append(part) - else: # This is a directory - current.setdefault("dirs", {}).setdefault(part, {}) - current = current["dirs"][part] + try: + parts = file_path.split("/") + current = structure + for i, part in enumerate(parts): + if i == len(parts) - 1: # This is a file + current.setdefault("files", []).append(part) + else: # This is a directory + current.setdefault("dirs", {}).setdefault(part, {}) + current = current["dirs"][part] + except Exception as e: + logger.error(f"Error processing file {file_path}: {str(e)}") return structure🧰 Tools
🪛 Ruff (0.8.2)
101-101: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
codegen-on-oss/codegen_on_oss/context_server/server.py (2)
106-134: Catch specific exceptions or employ a shared error-handler decorator.Catching bare
Exceptionmasks actionable errors (e.g., network vs. parsing). A small decorator, as suggested in previous reviews, centralises error handling and keeps each route concise.🧰 Tools
🪛 Ruff (0.8.2)
110-110: Blank line contains whitespace
Remove whitespace from blank line
(W293)
113-113: Blank line contains whitespace
Remove whitespace from blank line
(W293)
124-124: Blank line contains whitespace
Remove whitespace from blank line
(W293)
129-129: Blank line contains whitespace
Remove whitespace from blank line
(W293)
133-133: Use explicit conversion flag
Replace with conversion flag
(RUF010)
80-87:⚠️ Potential issueConstructor mismatch:
BucketStoremay receive unsupported kwargs.Earlier feedback (see past review) noted that
BucketStore’s public signature only acceptsbucket_name; passingendpoint_urland AWS credentials here will raiseTypeErrorat startup, taking the whole API down.-bucket_store = BucketStore( - bucket_name=os.environ.get("S3_BUCKET"), - endpoint_url=os.environ.get("S3_ENDPOINT"), - aws_access_key_id=os.environ.get("AWS_ACCESS_KEY_ID"), - aws_secret_access_key=os.environ.get("AWS_SECRET_ACCESS_KEY"), -) +# Adjust to the actual signature of BucketStore; for example: +bucket_store = BucketStore( + bucket_name=os.environ["S3_BUCKET"], + # If alternate parameters are required, extend BucketStore.__init__ first +)Verify the
BucketStoreimplementation and update either side accordingly.
🧹 Nitpick comments (12)
codegen-on-oss/examples/analyze_and_snapshot.py (2)
90-90: Remove whitespace from blank linesThere are blank lines containing whitespace characters that should be removed.
- +Also applies to: 113-113
🧰 Tools
🪛 Ruff (0.8.2)
90-90: Blank line contains whitespace
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107-112: Consider using a walrus operator for cleaner codeYou can use a Python walrus operator (:=) to simplify the code by combining the snapshot loading and the conditional check.
- loaded_snapshot = CodebaseContextSnapshot.load_snapshot( - snapshot_id=snapshot_id, - local_path=output_dir, - bucket_store=bucket_store, - ) - - if loaded_snapshot: + if loaded_snapshot := CodebaseContextSnapshot.load_snapshot( + snapshot_id=snapshot_id, + local_path=output_dir, + bucket_store=bucket_store, + ):codegen-on-oss/README.md (1)
408-408: Update CLI command to match implementationThe command example should reference the updated default host value.
-# Start the server -cgparse serve --host 127.0.0.1 --port 8000 +# Start the server +cgparse serve --port 8000 # Defaults to 127.0.0.1:8000codegen-on-oss/codegen_on_oss/analysis/harness_integration.py (3)
28-29: Update type annotations to modern Python syntaxUse modern Python type annotation syntax for cleaner code.
- metadata: Optional[Dict] = None, - tags: Optional[List[str]] = None, + metadata: dict | None = None, + tags: list[str] | None = None,🧰 Tools
🪛 Ruff (0.8.2)
28-28: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
28-28: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
29-29: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
29-29: Use
listinstead ofListfor type annotationReplace with
list(UP006)
75-75: Update return type annotations to modern Python syntaxUse modern Python type annotation syntax for return types.
- def analyze_codebase(self) -> Dict: + def analyze_codebase(self) -> dict: - def _get_file_structure(self) -> Dict: + def _get_file_structure(self) -> dict: - def files_in_patch(self, patch: str) -> List[str]: + def files_in_patch(self, patch: str) -> list[str]: - def save_analysis_results(self, output_path: Union[str, Path]) -> None: + def save_analysis_results(self, output_path: str | Path) -> None:Also applies to: 101-101, 132-132, 150-150
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🪛 Ruff (0.8.2)
75-75: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
159-159: Remove whitespace from blank linesThe blank lines contain whitespace that should be removed.
output_path = Path(output_path) output_path.parent.mkdir(parents=True, exist_ok=True) - + with open(output_path, "w") as f: json.dump(self.analysis_results, f, indent=2) - + logger.info(f"Analysis results saved to {output_path}")Also applies to: 162-162
🧰 Tools
🪛 Ruff (0.8.2)
159-159: Blank line contains whitespace
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(W293)
codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py (3)
8-16: Remove unused & deprecated imports, modernise typing.
osis never referenced and can be safely deleted. In addition,Dict,List, andOptional[...]fromtypingcan now be written with builtin generics (dict,list) and the| NoneUnion-syntax. Cleaning these up silences RuffF401/UP0xxwarnings and keeps the module lint-clean.-import json -import os -from datetime import datetime -from pathlib import Path -from typing import Dict, List, Optional, Union +import json +from datetime import datetime +from pathlib import Path +from typing import Optional🧰 Tools
🪛 Ruff (0.8.2)
9-9:
osimported but unusedRemove unused import:
os(F401)
13-13:
typing.Dictis deprecated, usedictinstead(UP035)
13-13:
typing.Listis deprecated, uselistinstead(UP035)
108-111: Wrap S3 writes with error handling for robustness.A transient network issue or an incorrect bucket policy will currently raise an uncaught exception, causing snapshot creation to fail after the local write has succeeded. Consider catching and logging
botocore.exceptions.ClientError(or the exception type surfaced by yourBucketStore) so users still get the local snapshot even if the remote upload fails.
178-212:list_snapshotsmakes N×S3GETcalls – cache or include manifest.Iterating over every JSON object and fully downloading it can become expensive for large buckets. At minimum, consider replacing
bucket_store.get_json(key)with a lightweighthead_object/statcall that reads the first few bytes, or maintaining a small manifest file (snapshots/manifest.json) that aggregates the metadata you need.🧰 Tools
🪛 Ruff (0.8.2)
181-181: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
182-182: Use
listinstead ofListfor type annotationReplace with
list(UP006)
182-182: Use
dictinstead ofDictfor type annotationReplace with
dict(UP006)
199-199: Blank line contains whitespace
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(W293)
211-211: Blank line contains whitespace
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(W293)
codegen-on-oss/codegen_on_oss/context_server/server.py (3)
8-25: Prune unused imports & switch to builtin generics.
Union,Codebase, andCodebaseConfigare never referenced; keeping them trips RuffF401. ReplacingDict/Listwithdict/listalso satisfies the UP006/UP035 rules.-import json -import os -from pathlib import Path -from typing import Dict, List, Optional, Union +import json +import os +from pathlib import Path +from typing import Optional @@ -from codegen import Codebase -# ... -from codegen.configs.models.codebase import CodebaseConfig🧰 Tools
🪛 Ruff (0.8.2)
11-11:
typing.Dictis deprecated, usedictinstead(UP035)
11-11:
typing.Listis deprecated, uselistinstead(UP035)
11-11:
typing.Unionimported but unusedRemove unused import:
typing.Union(F401)
20-20:
codegen.Codebaseimported but unusedRemove unused import:
codegen.Codebase(F401)
22-22:
codegen.configs.models.codebase.CodebaseConfigimported but unusedRemove unused import:
codegen.configs.models.codebase.CodebaseConfig(F401)
148-176: Duplicate analysis – avoid running it twice.
harness.analyze_codebase()is executed (1) explicitly at line 162 and (2) implicitly insidesnapshot.create_snapshot(). The second run is short-circuited but still incurs an unnecessary check.- # Analyze the codebase - harness.analyze_codebase() - - # Create the snapshot - snapshot = CodebaseContextSnapshot( + snapshot = CodebaseContextSnapshot( harness=harness, bucket_store=bucket_store, snapshot_id=request.snapshot_id, ) - # Save locally and to S3 if available - snapshot_id = snapshot.create_snapshot( - local_path=Path("snapshots") - ) + # Analyse once and create snapshot + harness.analyze_codebase() + snapshot_id = snapshot.create_snapshot(local_path=Path("snapshots"))🧰 Tools
🪛 Ruff (0.8.2)
155-155: Blank line contains whitespace
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186-215: Local listing logic duplicates snapshot module & opens files with unnecessary mode.
CodebaseContextSnapshot.list_snapshots()already handles S3; consider adding a local implementation there and re-using it here, eliminating this block. Alsoopen(file, "r")can beopen(file).🧰 Tools
🪛 Ruff (0.8.2)
187-187: Use
X | Yfor type annotationsConvert to
X | Y(UP007)
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206-206: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (11)
.github/workflows/test.yml(1 hunks)codegen-on-oss/README.md(2 hunks)codegen-on-oss/codegen_on_oss/analysis/harness_integration.py(1 hunks)codegen-on-oss/codegen_on_oss/cli.py(1 hunks)codegen-on-oss/codegen_on_oss/context_server/__init__.py(1 hunks)codegen-on-oss/codegen_on_oss/context_server/server.py(1 hunks)codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py(1 hunks)codegen-on-oss/examples/__init__.py(1 hunks)codegen-on-oss/examples/analyze_and_snapshot.py(1 hunks)codegen-on-oss/examples/start_server.py(1 hunks)codegen-on-oss/pyproject.toml(1 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (4)
codegen-on-oss/codegen_on_oss/context_server/__init__.py (1)
codegen-on-oss/codegen_on_oss/context_server/server.py (1)
start_server(335-343)
codegen-on-oss/codegen_on_oss/cli.py (1)
codegen-on-oss/codegen_on_oss/context_server/server.py (1)
start_server(335-343)
codegen-on-oss/examples/start_server.py (2)
codegen-on-oss/codegen_on_oss/context_server/server.py (1)
start_server(335-343)codegen-on-oss/examples/analyze_and_snapshot.py (1)
main(24-118)
codegen-on-oss/codegen_on_oss/analysis/harness_integration.py (3)
src/codegen/sdk/core/codebase.py (2)
Codebase(117-1570)language(265-267)src/codegen/configs/models/codebase.py (1)
CodebaseConfig(17-40)codegen-on-oss/codegen_on_oss/context_server/server.py (1)
analyze_codebase(107-134)
🪛 Ruff (0.8.2)
codegen-on-oss/codegen_on_oss/cli.py
131-131: SyntaxError: Expected ',', found '//'
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146-146: SyntaxError: Expected ',', found '//'
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codegen-on-oss/examples/analyze_and_snapshot.py
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codegen-on-oss/codegen_on_oss/analysis/harness_integration.py
9-9: subprocess imported but unused
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(F401)
11-11: typing.Dict is deprecated, use dict instead
(UP035)
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codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py
9-9: os imported but unused
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(F401)
13-13: typing.Dict is deprecated, use dict instead
(UP035)
13-13: typing.List is deprecated, use list instead
(UP035)
29-29: Use X | Y for type annotations
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(UP007)
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117-117: Use X | Y for type annotations
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137-137: Unnecessary open mode parameters
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(UP015)
181-181: Use X | Y for type annotations
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codegen-on-oss/codegen_on_oss/context_server/server.py
11-11: typing.Dict is deprecated, use dict instead
(UP035)
11-11: typing.List is deprecated, use list instead
(UP035)
11-11: typing.Union imported but unused
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(F401)
20-20: codegen.Codebase imported but unused
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(F401)
22-22: codegen.configs.models.codebase.CodebaseConfig imported but unused
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(F401)
32-32: Use X | Y for type annotations
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(UP007)
40-40: Use X | Y for type annotations
Convert to X | Y
(UP007)
40-40: Use dict instead of Dict for type annotation
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(UP006)
41-41: Use X | Y for type annotations
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41-41: Use list instead of List for type annotation
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(UP006)
46-46: Use X | Y for type annotations
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(UP007)
48-48: Use X | Y for type annotations
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(UP007)
48-48: Use dict instead of Dict for type annotation
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(UP006)
49-49: Use X | Y for type annotations
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49-49: Use list instead of List for type annotation
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(UP006)
54-54: Use X | Y for type annotations
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(UP007)
55-55: Use X | Y for type annotations
Convert to X | Y
(UP007)
58-58: Use X | Y for type annotations
Convert to X | Y
(UP007)
58-58: Use dict instead of Dict for type annotation
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(UP006)
59-59: Use X | Y for type annotations
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(UP007)
59-59: Use list instead of List for type annotation
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(UP007)
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206-206: Unnecessary open mode parameters
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223-223: Use explicit conversion flag
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246-249: Abstract raise to an inner function
(TRY301)
247-247: Trailing whitespace
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250-250: Blank line contains whitespace
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251-251: Consider moving this statement to an else block
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🪛 GitHub Check: mypy
codegen-on-oss/codegen_on_oss/cli.py
[failure] 131-131:
error: invalid syntax [syntax]
🪛 GitHub Actions: Mypy Checks
codegen-on-oss/codegen_on_oss/cli.py
[error] 131-131: mypy type checking error: invalid syntax
🪛 GitHub Actions: pre-commit
codegen-on-oss/codegen_on_oss/cli.py
[error] 131-133: SyntaxError: Expected ',', found '//' - Invalid comment syntax in Python code. Remove or replace '//' comment with '#' to fix.
[error] 131-133: SyntaxError: Positional argument cannot follow keyword argument - Argument order is incorrect.
[error] 131-133: SyntaxError: Expected ')', found 'from' - Likely caused by invalid syntax or misplaced tokens.
[error] 131-133: SyntaxError: Expected a module name - Syntax error due to invalid code structure.
[error] 131-133: SyntaxError: Simple statements must be separated by newlines or semicolons - Multiple occurrences indicating improper statement separation.
[error] 132-132: SyntaxError: Unexpected indentation - Indentation error detected.
[error] 133-136: SyntaxError: Expected a statement - Code block is incomplete or malformed.
[error] 146-149: SyntaxError: Expected ',', found '//' - Invalid comment syntax in Python code.
[error] 146-149: SyntaxError: Parameter without a default cannot follow a parameter with a default - Function parameter order error.
[error] 146-149: SyntaxError: Expected ')', found 'from' - Syntax error due to invalid token.
[error] 146-149: SyntaxError: Expected a module name - Syntax error due to invalid code structure.
[error] 146-149: SyntaxError: Simple statements must be separated by newlines or semicolons - Multiple occurrences indicating improper statement separation.
[error] 147-149: SyntaxError: Unexpected indentation - Indentation error detected.
[error] 149-151: SyntaxError: Expected a statement - Code block is incomplete or malformed.
[error] 150-151: SyntaxError: Unexpected indentation - Indentation error detected.
[error] 168-169: SyntaxError: Expected a statement - Incomplete or malformed code at main entry point.
codegen-on-oss/codegen_on_oss/context_server/server.py
[warning] 243-246: TRY301: Abstract 'raise' to an inner function to improve code clarity.
[warning] 248-248: TRY300: Consider moving this return statement to an 'else' block for better control flow.
[warning] 278-281: TRY301: Abstract 'raise' to an inner function to improve code clarity.
[warning] 297-300: TRY301: Abstract 'raise' to an inner function to improve code clarity.
🪛 LanguageTool
codegen-on-oss/README.md
[uncategorized] ~510-~510: Loose punctuation mark.
Context: ...volumes: - codegen-oss-input-volume: For uploading and reloading CSV inputs....
(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~511-~511: Loose punctuation mark.
Context: ...SV inputs. - codegen-oss-repo-volume: For caching repository data during pars...
(UNLIKELY_OPENING_PUNCTUATION)
🪛 markdownlint-cli2 (0.17.2)
codegen-on-oss/README.md
460-460: Multiple headings with the same content
null
(MD024, no-duplicate-heading)
463-463: Dollar signs used before commands without showing output
null
(MD014, commands-show-output)
504-504: Dollar signs used before commands without showing output
null
(MD014, commands-show-output)
529-529: Multiple headings with the same content
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543-543: Emphasis used instead of a heading
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549-549: Multiple headings with the same content
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685-685: Multiple headings with the same content
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🔇 Additional comments (5)
codegen-on-oss/pyproject.toml (1)
21-21: Dependencies look good for the FastAPI server implementation.The added dependencies (fastapi, pydantic, uvicorn) are correctly specified with appropriate version constraints, matching the project's versioning style. These are the essential components needed for implementing the FastAPI-based Code Context Retrieval Server described in the PR objectives.
Also applies to: 24-24, 27-27
codegen-on-oss/codegen_on_oss/context_server/__init__.py (1)
1-8: LGTM! The module initialization is well-structured.The imports and exports are clear and correctly implemented. The all list correctly exposes the key components needed by external modules.
codegen-on-oss/examples/start_server.py (1)
23-23: Good security practice using 127.0.0.1 as default.Using 127.0.0.1 (localhost) instead of 0.0.0.0 is a good security practice for example scripts, as it prevents unintended exposure to external networks. The comment explaining this change is helpful.
codegen-on-oss/README.md (1)
341-813: Well-structured documentation of new featuresThe documentation provides a comprehensive overview of the new features with clear examples and instructions. The API endpoint documentation and code examples are particularly helpful for users.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~510-~510: Loose punctuation mark.
Context: ...volumes: -codegen-oss-input-volume: For uploading and reloading CSV inputs....(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~511-~511: Loose punctuation mark.
Context: ...SV inputs. -codegen-oss-repo-volume: For caching repository data during pars...(UNLIKELY_OPENING_PUNCTUATION)
🪛 markdownlint-cli2 (0.17.2)
460-460: Multiple headings with the same content
null(MD024, no-duplicate-heading)
463-463: Dollar signs used before commands without showing output
null(MD014, commands-show-output)
504-504: Dollar signs used before commands without showing output
null(MD014, commands-show-output)
529-529: Multiple headings with the same content
null(MD024, no-duplicate-heading)
543-543: Emphasis used instead of a heading
null(MD036, no-emphasis-as-heading)
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codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py (1)
141-151: Prior feedback resolved – S3 fallback is now guarded.Nice work! The S3 lookup is only attempted when
snapshot_datais stillNoneand abucket_storeis provided, addressing the inefficiency called out in earlier reviews.
| @click.option( | ||
| "--host", | ||
| type=str, | ||
| default="127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
There was a problem hiding this comment.
Fix invalid comment syntax
The line contains invalid Python comment syntax using // which causes multiple syntax errors. Python comments should use #.
- default="127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning
+ default="127.0.0.1", # Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning📝 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.
| default="127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning | |
| default="127.0.0.1", # Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
🧰 Tools
🪛 Ruff (0.8.2)
131-131: SyntaxError: Expected ',', found '//'
131-131: SyntaxError: Positional argument cannot follow keyword argument
131-131: SyntaxError: Expected ')', found 'from'
131-131: SyntaxError: Expected a module name
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
131-131: SyntaxError: Simple statements must be separated by newlines or semicolons
🪛 GitHub Check: mypy
[failure] 131-131:
error: invalid syntax [syntax]
🪛 GitHub Actions: Mypy Checks
[error] 131-131: mypy type checking error: invalid syntax
🪛 GitHub Actions: pre-commit
[error] 131-133: SyntaxError: Expected ',', found '//' - Invalid comment syntax in Python code. Remove or replace '//' comment with '#' to fix.
[error] 131-133: SyntaxError: Positional argument cannot follow keyword argument - Argument order is incorrect.
[error] 131-133: SyntaxError: Expected ')', found 'from' - Likely caused by invalid syntax or misplaced tokens.
[error] 131-133: SyntaxError: Expected a module name - Syntax error due to invalid code structure.
[error] 131-133: SyntaxError: Simple statements must be separated by newlines or semicolons - Multiple occurrences indicating improper statement separation.
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/cli.py at line 131, replace the invalid comment syntax `//` with the correct Python comment symbol `#` to fix the syntax errors caused by the improper comment style.
| help="Debug mode", | ||
| ) | ||
| def serve( | ||
| host: str = "127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
There was a problem hiding this comment.
Fix invalid comment syntax
Similar to the previous issue, this line also uses invalid // comment syntax instead of Python's #.
- host: str = "127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning
+ host: str = "127.0.0.1", # Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning📝 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.
| host: str = "127.0.0.1", // Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning | |
| host: str = "127.0.0.1", # Changed from "0.0.0.0" to "127.0.0.1" to fix S104 warning |
🧰 Tools
🪛 Ruff (0.8.2)
146-146: SyntaxError: Expected ',', found '//'
146-146: SyntaxError: Parameter without a default cannot follow a parameter with a default
146-146: SyntaxError: Expected ')', found 'from'
146-146: SyntaxError: Expected a module name
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
146-146: SyntaxError: Simple statements must be separated by newlines or semicolons
🪛 GitHub Actions: pre-commit
[error] 146-149: SyntaxError: Expected ',', found '//' - Invalid comment syntax in Python code.
[error] 146-149: SyntaxError: Parameter without a default cannot follow a parameter with a default - Function parameter order error.
[error] 146-149: SyntaxError: Expected ')', found 'from' - Syntax error due to invalid token.
[error] 146-149: SyntaxError: Expected a module name - Syntax error due to invalid code structure.
[error] 146-149: SyntaxError: Simple statements must be separated by newlines or semicolons - Multiple occurrences indicating improper statement separation.
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/cli.py at line 146, replace the invalid `//` comment syntax with Python's correct `#` comment syntax to fix the syntax error.
| import json | ||
| import subprocess | ||
| from pathlib import Path | ||
| from typing import Dict, List, Optional, Set, Union |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Remove unused imports and update type annotations
The subprocess module is imported but not used, and several typing imports are deprecated in modern Python.
import json
-import subprocess
from pathlib import Path
-from typing import Dict, List, Optional, Set, Union
+from typing import Optional, UnionFor modern type annotations, consider using Python 3.10+ syntax:
-from typing import Dict, List, Optional, Set, Union
+from typing import Optional, Union
# Then use built-in types like dict, list instead of Dict, List📝 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.
| import json | |
| import subprocess | |
| from pathlib import Path | |
| from typing import Dict, List, Optional, Set, Union | |
| import json | |
| from pathlib import Path | |
| from typing import Optional, Union |
🧰 Tools
🪛 Ruff (0.8.2)
9-9: subprocess imported but unused
Remove unused import: subprocess
(F401)
11-11: typing.Dict is deprecated, use dict instead
(UP035)
11-11: typing.List is deprecated, use list instead
(UP035)
11-11: typing.Set is deprecated, use set instead
(UP035)
11-11: typing.Set imported but unused
Remove unused import: typing.Set
(F401)
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/analysis/harness_integration.py around lines 8 to 11, remove the unused import of the subprocess module and replace deprecated typing imports with modern Python 3.10+ type annotation syntax. Update the type annotations accordingly to use built-in generic types like list, dict, set, and union instead of importing them from typing.
| def _save_local(self, local_path: Union[str, Path]) -> None: | ||
| """ | ||
| Save the snapshot to a local file. | ||
|
|
||
| Args: | ||
| local_path: The local path to save the snapshot to | ||
| """ | ||
| local_path = Path(local_path) | ||
| local_path.parent.mkdir(parents=True, exist_ok=True) | ||
|
|
||
| snapshot_file = local_path / f"snapshot_{self.snapshot_id}.json" | ||
| with open(snapshot_file, "w") as f: | ||
| json.dump(self.snapshot_data, f, indent=2) | ||
|
|
||
| self.snapshot_path = snapshot_file | ||
| logger.info(f"Snapshot saved locally to {snapshot_file}") | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Directory may not be created – use local_path.mkdir() instead of parent.mkdir().
When the caller passes a directory such as Path("snapshots"), calling local_path.parent.mkdir() only guarantees the parent (.) exists, not the directory itself.
If snapshots/ is missing the subsequent local_path / f"snapshot_….json" write will fail.
- local_path = Path(local_path)
- local_path.parent.mkdir(parents=True, exist_ok=True)
+ local_path = Path(local_path)
+ # Ensure the directory we are writing *into* exists
+ local_path.mkdir(parents=True, exist_ok=True)📝 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.
| def _save_local(self, local_path: Union[str, Path]) -> None: | |
| """ | |
| Save the snapshot to a local file. | |
| Args: | |
| local_path: The local path to save the snapshot to | |
| """ | |
| local_path = Path(local_path) | |
| local_path.parent.mkdir(parents=True, exist_ok=True) | |
| snapshot_file = local_path / f"snapshot_{self.snapshot_id}.json" | |
| with open(snapshot_file, "w") as f: | |
| json.dump(self.snapshot_data, f, indent=2) | |
| self.snapshot_path = snapshot_file | |
| logger.info(f"Snapshot saved locally to {snapshot_file}") | |
| def _save_local(self, local_path: Union[str, Path]) -> None: | |
| """ | |
| Save the snapshot to a local file. | |
| Args: | |
| local_path: The local path to save the snapshot to | |
| """ | |
| local_path = Path(local_path) | |
| # Ensure the directory we are writing *into* exists | |
| local_path.mkdir(parents=True, exist_ok=True) | |
| snapshot_file = local_path / f"snapshot_{self.snapshot_id}.json" | |
| with open(snapshot_file, "w") as f: | |
| json.dump(self.snapshot_data, f, indent=2) | |
| self.snapshot_path = snapshot_file | |
| logger.info(f"Snapshot saved locally to {snapshot_file}") |
🧰 Tools
🪛 Ruff (0.8.2)
83-83: Use X | Y for type annotations
Convert to X | Y
(UP007)
92-92: Blank line contains whitespace
Remove whitespace from blank line
(W293)
96-96: Blank line contains whitespace
Remove whitespace from blank line
(W293)
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py around lines 83 to 99, the code currently creates only the parent directory of local_path using local_path.parent.mkdir(), which does not ensure the directory itself exists if local_path is a directory. To fix this, replace local_path.parent.mkdir(parents=True, exist_ok=True) with local_path.mkdir(parents=True, exist_ok=True) to create the directory specified by local_path when it is a directory, ensuring the snapshot file can be saved without errors.
| # Create a harness from the snapshot data | ||
| from codegen import Codebase | ||
| from codegen.configs.models.codebase import CodebaseConfig | ||
|
|
||
| config = CodebaseConfig() | ||
| codebase = Codebase.from_repo( | ||
| repo_full_name=snapshot_data["repo_name"], | ||
| config=config, | ||
| ) | ||
| harness = CodebaseAnalysisHarness( | ||
| codebase=codebase, | ||
| metadata=snapshot_data.get("metadata", {}), | ||
| tags=snapshot_data.get("tags", []), | ||
| ) | ||
| harness.analysis_results = snapshot_data.get("analysis_results", {}) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Snapshot currently discards commit SHA – restore full fidelity.
snapshot_data lacks the commit/branch that was analysed, so load_snapshot() rebuilds the codebase at the default HEAD, which can silently diverge from the analysed state.
- "analysis_results": self.harness.analysis_results,
+ "commit": self.harness.codebase.commit, # preserve exact revision
+ "analysis_results": self.harness.analysis_results,and later during load:
- codebase = Codebase.from_repo(
- repo_full_name=snapshot_data["repo_name"],
- config=config,
- )
+ codebase = Codebase.from_repo(
+ repo_full_name=snapshot_data["repo_name"],
+ commit=snapshot_data.get("commit"),
+ config=config,
+ )Committable suggestion skipped: line range outside the PR's diff.
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.py around lines 157 to 171, the snapshot_data does not include the commit SHA or branch information, causing load_snapshot() to rebuild the codebase at the default HEAD instead of the exact analyzed state. To fix this, modify the snapshot saving process to include the commit SHA or branch in snapshot_data, and update the load_snapshot() method to use this commit/branch information when reconstructing the Codebase, ensuring full fidelity with the analyzed snapshot.
| diff = harness.codebase.get_diff() | ||
|
|
||
| return { | ||
| "result": result, | ||
| "diff": diff, | ||
| "edited_files": harness.files_in_patch(diff) if diff else [], | ||
| } |
There was a problem hiding this comment.
files_in_patch is undefined here – will raise at runtime.
harness exposes no files_in_patch method in the provided context; if this helper lives elsewhere, import and use it. Otherwise, compute the edited files from the diff directly or drop the key.
- return {
- "result": result,
- "diff": diff,
- "edited_files": harness.files_in_patch(diff) if diff else [],
- }
+ response = {"result": result, "diff": diff}
+ if diff:
+ # TODO: replace with real helper once available
+ response["edited_files"] = [p for p in harness.codebase.files_changed]
+ return response📝 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.
| diff = harness.codebase.get_diff() | |
| return { | |
| "result": result, | |
| "diff": diff, | |
| "edited_files": harness.files_in_patch(diff) if diff else [], | |
| } | |
| diff = harness.codebase.get_diff() | |
| response = {"result": result, "diff": diff} | |
| if diff: | |
| # TODO: replace with real helper once available | |
| response["edited_files"] = [p for p in harness.codebase.files_changed] | |
| return response |
🧰 Tools
🪛 Ruff (0.8.2)
322-322: Blank line contains whitespace
Remove whitespace from blank line
(W293)
🤖 Prompt for AI Agents (early access)
In codegen-on-oss/codegen_on_oss/context_server/server.py around lines 321 to 327, the code calls harness.files_in_patch(diff), but harness does not have a files_in_patch method, causing a runtime error. To fix this, either import the files_in_patch function from its correct module if it exists elsewhere and use it here, or replace the call with code that computes the list of edited files directly from the diff variable, or remove the "edited_files" key from the returned dictionary if this information is not needed.
|
Tip For best results, initiate chat on the files or code changes. |
|
A summary of the edits CodeRabbit can apply:
A plan of each step that CodeRabbit will take in order to execute the edits for each file (with inline rough draft snippets): ✏️ git/codegen-on-oss/codegen_on_oss/context_server/server.pyLocate the CORS middleware setup (around line 68). Change: In the In the In the ✏️ git/codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.pyFind the Codebase reconstruction in Locate the S3-loading block (around line 142): ✏️ git/codegen-on-oss/codegen_on_oss/bucket_store.pyAt the top of bucket_store.py, update imports to: Change the Wrap Immediately after ➕ git/codegen-on-oss/tests/test_harness_integration.pyInsert the following test content: # tests/test_harness_integration.py
import json
import os
import tempfile
from pathlib import Path
from unittest import mock
import pytest
from codegen import Codebase
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
@pytest.fixture
def mock_codebase():
codebase = mock.MagicMock(spec=Codebase)
codebase.repo_name = "test/repo"
codebase.language = "python"
codebase.files = ["file1.py", "file2.py", "dir/file3.py"]
return codebase
@pytest.fixture
def harness(mock_codebase):
return CodebaseAnalysisHarness(
codebase=mock_codebase,
metadata={"test": "metadata"},
tags=["test", "tags"],
)
def test_analyze_codebase(harness):
results = harness.analyze_codebase()
assert results["repo_name"] == "test/repo"
assert results["language"] == "python"
assert results["file_count"] == 3
assert results["metadata"] == {"test": "metadata"}
assert results["tags"] == ["test", "tags"]
assert "file_structure" in results
def test_get_file_structure(harness):
structure = harness._get_file_structure()
assert "files" in structure and "dirs" in structure
assert "dir" in structure["dirs"]
assert "file3.py" in structure["dirs"]["dir"]["files"]
assert "file1.py" in structure["files"] and "file2.py" in structure["files"]
def test_diff_versus_commit(harness):
harness.codebase.get_diff.return_value = "mock diff output"
diff = harness.diff_versus_commit("abc123")
harness.codebase.get_diff.assert_called_once_with(base="abc123")
assert diff == "mock diff output"
def test_files_in_patch(harness):
patch = \"\"\"\
--- a/file1.py
+++ b/file1.py
@@ -1,5 +1,5 @@
def func():
- return 1
+ return 2
--- a/dir/file3.py
+++ b/dir/file3.py
@@ -1,3 +1,3 @@
def another_func():
- return 3
+ return 4
\"\"\"
files = harness.files_in_patch(patch)
assert len(files) == 2
assert "file1.py" in files and "dir/file3.py" in files
def test_save_analysis_results(harness, tmp_path):
harness.analyze_codebase()
output_path = tmp_path / "analysis_results.json"
harness.save_analysis_results(output_path)
assert output_path.exists()
with open(output_path, "r") as f:
data = json.load(f)
assert data == harness.analysis_results➕ git/codegen-on-oss/tests/test_context_snapshot.pyInsert the following test content: # tests/test_context_snapshot.py
import json
from pathlib import Path
from unittest import mock
import pytest
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.bucket_store import BucketStore
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def mock_bucket_store():
return mock.MagicMock(spec=BucketStore)
@pytest.fixture
def mock_harness():
harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
harness.codebase.repo_name = "test/repo"
harness.codebase.language = "python"
harness.analysis_results = {
"repo_name": "test/repo",
"language": "python",
"file_count": 3,
"metadata": {"test": "metadata"},
"tags": ["test", "tags"],
"file_structure": {"files": [], "dirs": {}}
}
harness.metadata = {"test": "metadata"}
harness.tags = ["test", "tags"]
return harness
def test_create_snapshot(mock_harness, mock_bucket_store, tmp_path):
snapshot = CodebaseContextSnapshot(
harness=mock_harness,
bucket_store=mock_bucket_store,
snapshot_id="test-snapshot-id",
)
snapshot_id = snapshot.create_snapshot(local_path=tmp_path)
assert snapshot_id == "test-snapshot-id"
assert (tmp_path / "snapshot_test-snapshot-id.json").exists()
mock_bucket_store.put_json.assert_called_once()
def test_load_snapshot_local(mock_harness, tmp_path):
snapshot = CodebaseContextSnapshot(
harness=mock_harness,
snapshot_id="test-snapshot-id",
)
snapshot.create_snapshot(local_path=tmp_path)
with mock.patch("codegen.Codebase.from_repo", return_value=mock_harness.codebase):
loaded = CodebaseContextSnapshot.load_snapshot(
snapshot_id="test-snapshot-id",
local_path=tmp_path,
)
assert loaded.snapshot_id == "test-snapshot-id"
assert loaded.snapshot_data["repo_name"] == "test/repo"
def test_list_snapshots(mock_bucket_store):
mock_bucket_store.list_keys.return_value = [
"snapshots/test/repo/snapshot1.json",
"snapshots/test/repo/snapshot2.json",
"snapshots/other/repo/snapshot3.json",
]
def get_side(key):
if "snapshot1" in key:
return {"snapshot_id":"snapshot1","timestamp":"2023-01-01T00:00:00","repo_name":"test/repo","tags":["tag1","tag2"]}
elif "snapshot2" in key:
return {"snapshot_id":"snapshot2","timestamp":"2023-01-02T00:00:00","repo_name":"test/repo","tags":["tag3"]}
elif "snapshot3" in key:
return {"snapshot_id":"snapshot3","timestamp":"2023-01-03T00:00:00","repo_name":"other/repo","tags":["tag4"]}
mock_bucket_store.get_json.side_effect = get_side
snapshots = CodebaseContextSnapshot.list_snapshots(mock_bucket_store)
assert len(snapshots) == 3
snapshots = CodebaseContextSnapshot.list_snapshots(mock_bucket_store, repo_name="test/repo")
assert len(snapshots) == 2➕ git/codegen-on-oss/tests/test_context_server.pyInsert the following test content: # tests/test_context_server.py
import json
from unittest import mock
import pytest
from fastapi.testclient import TestClient
from codegen_on_oss.context_server.server import app
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def client():
return TestClient(app)
def test_root_endpoint(client):
response = client.get("/")
assert response.status_code == 200
assert "Code Context Retrieval Server" in response.json()["title"]
assert "endpoints" in response.json()
def test_analyze_endpoint(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo") as mock_from:
mock_harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
mock_harness.analyze_codebase.return_value = {
"repo_name":"test/repo","language":"python","file_count":3,
"metadata":{"test":"metadata"},"tags":["test"],"file_structure":{"files":[],"dirs":{}}
}
mock_from.return_value = mock_harness
response = client.post(
"/analyze",
json={
"repository":{"repo_full_name":"test/repo","commit":"main","language":"python","disable_file_parse":False},
"metadata":{"test":"metadata"},"tags":["test"]
}
)
assert response.status_code == 200
assert response.json()["repo_name"] == "test/repo"
def test_create_snapshot_endpoint(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo") as m_from:
with mock.patch("codegen_on_oss.snapshot.context_snapshot.CodebaseContextSnapshot") as m_snap:
mock_harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
mock_harness.analyze_codebase.return_value = {"repo_name":"test/repo","language":"python","file_count":3,"metadata":{},"tags":[],"file_structure":{}}
m_from.return_value = mock_harness
mock_snap_inst = mock.MagicMock()
mock_snap_inst.create_snapshot.return_value = "sid"
m_snap.return_value = mock_snap_inst
response = client.post(
"/snapshot/create",
json={"repository":{"repo_full_name":"test/repo","commit":"main","language":"python","disable_file_parse":False}}
)
assert response.status_code == 200
assert response.json()["snapshot_id"] == "sid"✏️ codegen-on-oss/codegen_on_oss/context_server/server.pyEnsure the following imports are present at the top (add if missing): import os
import json
from pathlib import Path
from fastapi import FastAPI, HTTPException, Query
from fastapi.middleware.cors import CORSMiddleware
from loguru import loggerLocate the CORS middleware setup (around line 69) and replace with: app.add_middleware(
CORSMiddleware,
allow_origins=os.environ.get("ALLOWED_ORIGINS", "http://localhost:3000").split(","),
allow_credentials=True,
allow_methods=["GET", "POST"],
allow_headers=["Content-Type", "Authorization"],
)Find the create_snapshot endpoint (around line 135). Before calling snapshot.create_snapshot, insert: # Ensure snapshots directory exists
snapshots_dir = Path("snapshots")
snapshots_dir.mkdir(parents=True, exist_ok=True)Then update the call: snapshot_id = snapshot.create_snapshot(local_path=snapshots_dir)instead of Path("snapshots"). Find the list_snapshots endpoint (around line 184). In the loop over snapshots_dir.glob("snapshot_*.json"), wrap file reading in try/except: for file in snapshots_dir.glob("snapshot_*.json"):
try:
with open(file, "r") as f:
data = json.load(f)
if not repo_name or data.get("repo_name") == repo_name:
snapshots.append({
"snapshot_id": data.get("snapshot_id"),
"timestamp": data.get("timestamp"),
"repo_name": data.get("repo_name"),
"tags": data.get("tags", []),
})
except (json.JSONDecodeError, IOError) as e:
logger.error(f"Error reading snapshot file {file}: {e}")This will skip bad files gracefully. Find the execute_agent endpoint (around line 257). Inside its try block, immediately after entering the function, add: # Validate the model parameter
supported_models = ["gpt-4", "gpt-3.5-turbo", "claude-2", "claude-instant"]
if request.model not in supported_models:
raise HTTPException(
status_code=400,
detail=f"Unsupported model: {request.model}. Supported models: {', '.join(supported_models)}"
)Restrict the CORS middleware by replacing the existing block at lines 70–75 with: Wrap the local‐file loop in with: In the and change the call to: In the Replace the existing CORS middleware block (lines 69–75) with: app.add_middleware(
CORSMiddleware,
allow_origins=os.environ.get("ALLOWED_ORIGINS", "http://localhost:3000").split(","),
allow_credentials=True,
allow_methods=["GET", "POST"],
allow_headers=["Content-Type", "Authorization"],
)In the POST /snapshot/create handler, immediately before the call to snapshot.create_snapshot, insert: # Ensure snapshots directory exists
snapshots_dir = Path("snapshots")
snapshots_dir.mkdir(parents=True, exist_ok=True)Then update the snapshot.save call to: snapshot_id = snapshot.create_snapshot(
local_path=snapshots_dir
)In the GET /snapshot/list handler, wrap the file read inside a try/except block. Replace: for file in snapshots_dir.glob("snapshot_*.json"):
with open(file, "r") as f:
data = json.load(f)
if not repo_name or data.get("repo_name") == repo_name:
snapshots.append({
"snapshot_id": data.get("snapshot_id"),
"timestamp": data.get("timestamp"),
"repo_name": data.get("repo_name"),
"tags": data.get("tags", []),
})with: for file in snapshots_dir.glob("snapshot_*.json"):
try:
with open(file, "r") as f:
data = json.load(f)
if not repo_name or data.get("repo_name") == repo_name:
snapshots.append({
"snapshot_id": data.get("snapshot_id"),
"timestamp": data.get("timestamp"),
"repo_name": data.get("repo_name"),
"tags": data.get("tags", []),
})
except (json.JSONDecodeError, IOError) as e:
logger.error(f"Error reading snapshot file {file}: {str(e)}")At the top of the try block in the POST /agent/execute handler, insert model validation: # Validate the model parameter
supported_models = ["gpt-4", "gpt-3.5-turbo", "claude-2", "claude-instant"]
if request.model not in supported_models:
raise HTTPException(
status_code=400,
detail=f"Unsupported model: {request.model}. Supported models: {', '.join(supported_models)}"
)At the top of the file, add Replace lines 69–76 (the current CORSMiddleware block) with: Ensure Inside the Immediately before calling Change the call to: Ensure At the top of the file, add an import for os if it's not already present. Insert immediately after the existing imports: import osLocate the CORS middleware registration (around the comment "# Add CORS middleware"). Replace the existing block: - app.add_middleware(
- CORSMiddleware,
- allow_origins=["*"],
- allow_credentials=True,
- allow_methods=["*"],
- allow_headers=["*"],
- )with: app.add_middleware(
CORSMiddleware,
allow_origins=os.environ.get("ALLOWED_ORIGINS", "http://localhost:3000").split(","),
allow_credentials=True,
allow_methods=["GET", "POST"],
allow_headers=["Content-Type", "Authorization"],
)Find the list_snapshots endpoint (decorated with @app.get("/snapshot/list")). In the loop over snapshots_dir.glob("snapshot_*.json"), wrap the file-open and json.load code in a try/except block. Replace: - with open(file, "r") as f:
- data = json.load(f)
- if not repo_name or data.get("repo_name") == repo_name:
- snapshots.append({
- "snapshot_id": data.get("snapshot_id"),
- "timestamp": data.get("timestamp"),
- "repo_name": data.get("repo_name"),
- "tags": data.get("tags", []),
- })with: try:
with open(file, "r") as f:
data = json.load(f)
if not repo_name or data.get("repo_name") == repo_name:
snapshots.append({
"snapshot_id": data.get("snapshot_id"),
"timestamp": data.get("timestamp"),
"repo_name": data.get("repo_name"),
"tags": data.get("tags", []),
})
except (json.JSONDecodeError, IOError) as e:
logger.error(f"Error reading snapshot file {file}: {e}")Find the create_snapshot endpoint (decorated with @app.post("/snapshot/create")). Before calling snapshot.create_snapshot, ensure the local snapshots directory exists by inserting: # Ensure snapshots directory exists
snapshots_dir = Path("snapshots")
snapshots_dir.mkdir(parents=True, exist_ok=True)then pass snapshots_dir to create_snapshot: - snapshot_id = snapshot.create_snapshot(local_path=Path("snapshots"))
+ snapshot_id = snapshot.create_snapshot(local_path=snapshots_dir)Locate the execute_agent endpoint (decorated with @app.post("/agent/execute")). At the start of the try block inside execute_agent, insert model validation: # Validate the model parameter
supported_models = ["gpt-4", "gpt-3.5-turbo", "claude-2", "claude-instant"]
if request.model not in supported_models:
raise HTTPException(
status_code=400,
detail=f"Unsupported model: {request.model}. Supported models: {', '.join(supported_models)}"
)✏️ codegen-on-oss/codegen_on_oss/snapshot/context_snapshot.pyLocate the Codebase.from_repo invocation (around line 162) and change it to include the language parameter: - codebase = Codebase.from_repo(
- repo_full_name=snapshot_data["repo_name"],
- config=config,
- )
+ codebase = Codebase.from_repo(
+ repo_full_name=snapshot_data["repo_name"],
+ language=snapshot_data.get("analysis_results", {}).get("language", "python"),
+ config=config,
+ )In the S3 loading section (around lines 141–147), wrap the loop with a guard and warnings: - snapshots = cls.list_snapshots(bucket_store=bucket_store)
- for snapshot in snapshots:
- if snapshot["snapshot_id"] == snapshot_id:
- repo_name = snapshot["repo_name"]
- key = f"snapshots/{repo_name}/{snapshot_id}.json"
- snapshot_data = bucket_store.get_json(key)
- logger.info(f"Loaded snapshot from S3 with key: {key}")
- break
+ snapshots = cls.list_snapshots(bucket_store=bucket_store)
+ if snapshots:
+ for snapshot in snapshots:
+ if snapshot["snapshot_id"] == snapshot_id:
+ repo_name = snapshot["repo_name"]
+ key = f"snapshots/{repo_name}/{snapshot_id}.json"
+ snapshot_data = bucket_store.get_json(key)
+ logger.info(f"Loaded snapshot from S3 with key: {key}")
+ break
+ if not snapshot_data:
+ logger.warning(f"No matching snapshot found in S3 with ID: {snapshot_id}")
+ else:
+ logger.warning("No snapshots found in S3")This prevents errors when no snapshots exist. On the call to to: Guard against empty lists when loading from S3 (around line 142). Replace: with: Locate the call to Wrap the loop that iterates Then add an Locate the Codebase.from_repo invocation around line 162. Change the call from: - codebase = Codebase.from_repo(
- repo_full_name=snapshot_data["repo_name"],
- config=config,
- )to include the language parameter: codebase = Codebase.from_repo(
repo_full_name=snapshot_data["repo_name"],
language=snapshot_data.get("analysis_results", {}).get("language", "python"),
config=config,
)Find the section that attempts to load from S3 when snapshot_data is empty (the block starting with - for snapshot in snapshots:
- if snapshot["snapshot_id"] == snapshot_id:
- repo_name = snapshot["repo_name"]
- key = f"snapshots/{repo_name}/{snapshot_id}.json"
- snapshot_data = bucket_store.get_json(key)
- logger.info(f"Loaded snapshot from S3 with key: {key}")
- breakwith: if snapshots:
for snapshot in snapshots:
if snapshot["snapshot_id"] == snapshot_id:
repo_name = snapshot["repo_name"]
key = f"snapshots/{repo_name}/{snapshot_id}.json"
snapshot_data = bucket_store.get_json(key)
logger.info(f"Loaded snapshot from S3 with key: {key}")
break
if not snapshot_data:
logger.warning(f"No matching snapshot found in S3 with ID: {snapshot_id}")
else:
logger.warning("No snapshots found in S3")✏️ codegen-on-oss/codegen_on_oss/bucket_store.pyAt the top, update imports to: -from datetime import datetime
+import json
+from datetime import datetime
from importlib.metadata import version
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any, Dict, List, Optional
from boto3 import client
+from botocore.exceptions import ClientError
+from loguru import loggerModify the init signature to: - def __init__(self, bucket_name: str):
+ def __init__(
+ self,
+ bucket_name: str,
+ endpoint_url: Optional[str] = None,
+ aws_access_key_id: Optional[str] = None,
+ aws_secret_access_key: Optional[str] = None,
+ ):
self.bucket_name = bucket_name
- self.s3_client = client("s3")
+ self.s3_client = client(
+ "s3",
+ endpoint_url=endpoint_url,
+ aws_access_key_id=aws_access_key_id,
+ aws_secret_access_key=aws_secret_access_key,
+ )
self.key_prefix: str = str(version("codegen"))Add error handling around upload_file: - self.s3_client.upload_file(
- local_path,
- self.bucket_name,
- key,
- )
- return key
+ try:
+ self.s3_client.upload_file(
+ local_path,
+ self.bucket_name,
+ key,
+ )
+ return key
+ except ClientError as e:
+ logger.error(f"Error uploading file to S3: {e}")
+ raiseImplement put_json method after upload_file: def put_json(self, key: str, data: Dict[str, Any]) -> None:
"""
Upload JSON data to S3.
"""
try:
self.s3_client.put_object(
Bucket=self.bucket_name,
Key=key,
Body=json.dumps(data, indent=2),
ContentType="application/json",
)
logger.debug(f"Uploaded JSON data to S3: {key}")
except ClientError as e:
logger.error(f"Error uploading JSON data to S3: {e}")
raiseImplement get_json method: def get_json(self, key: str) -> Optional[Dict[str, Any]]:
"""
Get JSON data from S3.
"""
try:
response = self.s3_client.get_object(
Bucket=self.bucket_name,
Key=key,
)
return json.loads(response["Body"].read().decode("utf-8"))
except ClientError as e:
if e.response["Error"]["Code"] == "NoSuchKey":
logger.warning(f"Key not found in S3: {key}")
return None
logger.error(f"Error getting JSON data from S3: {e}")
raiseImplement list_keys method: def list_keys(self, prefix: str = "") -> List[str]:
"""
List keys in the S3 bucket with the given prefix.
"""
try:
keys: List[str] = []
paginator = self.s3_client.get_paginator("list_objects_v2")
for page in paginator.paginate(Bucket=self.bucket_name, Prefix=prefix):
for obj in page.get("Contents", []):
keys.append(obj["Key"])
return keys
except ClientError as e:
logger.error(f"Error listing keys in S3: {e}")
raise✏️ codegen-on-oss/tests/test_harness_integration.pyCreate directory codegen-on-oss/tests if it doesn't exist. Then add file tests/test_harness_integration.py with content: import json
from pathlib import Path
from unittest import mock
import pytest
from codegen import Codebase
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
@pytest.fixture
def mock_codebase():
codebase = mock.MagicMock(spec=Codebase)
codebase.repo_name = "test/repo"
codebase.language = "python"
codebase.files = ["file1.py", "file2.py", "dir/file3.py"]
return codebase
@pytest.fixture
def harness(mock_codebase):
return CodebaseAnalysisHarness(
codebase=mock_codebase,
metadata={"test": "metadata"},
tags=["test", "tags"],
)
def test_analyze_codebase(harness):
results = harness.analyze_codebase()
assert results["repo_name"] == "test/repo"
assert results["language"] == "python"
assert results["file_count"] == 3
assert results["metadata"] == {"test": "metadata"}
assert results["tags"] == ["test", "tags"]
assert "file_structure" in results
def test_get_file_structure(harness):
structure = harness._get_file_structure()
assert "files" in structure
assert "dirs" in structure
assert "dir" in structure["dirs"]
assert "file3.py" in structure["dirs"]["dir"]["files"]
def test_diff_versus_commit(harness):
harness.codebase.get_diff.return_value = "mock diff"
diff = harness.diff_versus_commit("abc123")
assert diff == "mock diff"
def test_files_in_patch(harness):
patch = \"\"\"\n--- a/file1.py\n+++ b/file1.py\n@@ -1,5 +1,5 @@\ndef func():\n- return 1\n+ return 2\n\"\"\"\n files = harness.files_in_patch(patch)
assert files == ["file1.py"]Create the file with the following content: Create a new file Create a new file with the following content: # tests/test_harness_integration.py
import json
import os
import tempfile
from pathlib import Path
from unittest import mock
import pytest
from codegen import Codebase
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.bucket_store import BucketStore
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def mock_codebase():
codebase = mock.MagicMock(spec=Codebase)
codebase.repo_name = "test/repo"
codebase.language = "python"
codebase.files = ["file1.py", "file2.py", "dir/file3.py"]
return codebase
@pytest.fixture
def harness(mock_codebase):
return CodebaseAnalysisHarness(
codebase=mock_codebase,
metadata={"test": "metadata"},
tags=["test", "tags"],
)
def test_analyze_codebase(harness):
results = harness.analyze_codebase()
assert results["repo_name"] == "test/repo"
assert results["language"] == "python"
assert results["file_count"] == 3
assert results["metadata"] == {"test": "metadata"}
assert results["tags"] == ["test", "tags"]
assert "file_structure" in results
def test_get_file_structure(harness):
structure = harness._get_file_structure()
assert "files" in structure
assert "dirs" in structure
assert "dir" in structure["dirs"]
assert "file3.py" in structure["dirs"]["dir"]["files"]
assert "file1.py" in structure["files"]
assert "file2.py" in structure["files"]
def test_diff_versus_commit(harness):
harness.codebase.get_diff.return_value = "mock diff output"
diff = harness.diff_versus_commit("abc123")
harness.codebase.get_diff.assert_called_once_with(base="abc123")
assert diff == "mock diff output"
def test_files_in_patch(harness):
patch = """
--- a/file1.py
+++ b/file1.py
@@ -1,5 +1,5 @@
def func():
- return 1
+ return 2
--- a/dir/file3.py
+++ b/dir/file3.py
@@ -1,3 +1,3 @@
def another_func():
- return 3
+ return 4
"""
files = harness.files_in_patch(patch)
assert len(files) == 2
assert "file1.py" in files
assert "dir/file3.py" in files
def test_save_analysis_results(harness, tmp_path):
harness.analyze_codebase()
output_path = tmp_path / "analysis_results.json"
harness.save_analysis_results(output_path)
assert output_path.exists()
with open(output_path, "r") as f:
data = json.load(f)
assert data == harness.analysis_results✏️ codegen-on-oss/tests/test_context_snapshot.pyCreate tests/test_context_snapshot.py with content: import json
from pathlib import Path
from unittest import mock
import pytest
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.bucket_store import BucketStore
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def mock_bucket_store():
return mock.MagicMock(spec=BucketStore)
@pytest.fixture
def mock_harness():
harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
harness.codebase.repo_name = "test/repo"
harness.analysis_results = {"repo_name":"test/repo","language":"python","file_count":3,"metadata":{},"tags":[],"file_structure":{}}
harness.metadata = {}
harness.tags = []
return harness
def test_create_snapshot(tmp_path, mock_harness, mock_bucket_store):
snapshot = CodebaseContextSnapshot(harness=mock_harness, bucket_store=mock_bucket_store, snapshot_id="s1")
sid = snapshot.create_snapshot(local_path=tmp_path)
assert sid == "s1"
assert (tmp_path/"snapshot_s1.json").exists()
mock_bucket_store.put_json.assert_called()
def test_load_snapshot_local(tmp_path, mock_harness):
snapshot = CodebaseContextSnapshot(harness=mock_harness, snapshot_id="s2")
snapshot.create_snapshot(local_path=tmp_path)
with mock.patch("codegen.Codebase.from_repo", return_value=mock_harness.codebase):
loaded = CodebaseContextSnapshot.load_snapshot("s2", local_path=tmp_path)
assert loaded.snapshot_id == "s2"Create the file with the following content: Create a new file Create a new file with the following content: # tests/test_context_snapshot.py
import json
from pathlib import Path
from unittest import mock
import pytest
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.bucket_store import BucketStore
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def mock_bucket_store():
return mock.MagicMock(spec=BucketStore)
@pytest.fixture
def mock_harness():
harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
harness.codebase.repo_name = "test/repo"
harness.codebase.language = "python"
harness.analysis_results = {
"repo_name": "test/repo",
"language": "python",
"file_count": 3,
"metadata": {"test": "metadata"},
"tags": ["test", "tags"],
"file_structure": {"files": [], "dirs": {}}
}
harness.metadata = {"test": "metadata"}
harness.tags = ["test", "tags"]
return harness
def test_create_snapshot(mock_harness, mock_bucket_store, tmp_path):
snapshot = CodebaseContextSnapshot(
harness=mock_harness,
bucket_store=mock_bucket_store,
snapshot_id="test-snapshot-id",
)
snapshot_id = snapshot.create_snapshot(local_path=tmp_path)
assert snapshot_id == "test-snapshot-id"
assert (tmp_path / "snapshot_test-snapshot-id.json").exists()
mock_bucket_store.put_json.assert_called_once()
def test_load_snapshot_local(mock_harness, tmp_path):
snapshot = CodebaseContextSnapshot(
harness=mock_harness,
snapshot_id="test-snapshot-id",
)
snapshot.create_snapshot(local_path=tmp_path)
with mock.patch("codegen.Codebase.from_repo", return_value=mock_harness.codebase):
loaded_snapshot = CodebaseContextSnapshot.load_snapshot(
snapshot_id="test-snapshot-id",
local_path=tmp_path,
)
assert loaded_snapshot is not None
assert loaded_snapshot.snapshot_id == "test-snapshot-id"
assert loaded_snapshot.snapshot_data["repo_name"] == "test/repo"
def test_list_snapshots(mock_bucket_store):
mock_bucket_store.list_keys.return_value = [
"snapshots/test/repo/snapshot1.json",
"snapshots/test/repo/snapshot2.json",
"snapshots/other/repo/snapshot3.json",
]
def get_json_side_effect(key):
if "snapshot1" in key:
return {
"snapshot_id": "snapshot1",
"timestamp": "2023-01-01T00:00:00",
"repo_name": "test/repo",
"tags": ["tag1", "tag2"],
}
elif "snapshot2" in key:
return {
"snapshot_id": "snapshot2",
"timestamp": "2023-01-02T00:00:00",
"repo_name": "test/repo",
"tags": ["tag3"],
}
elif "snapshot3" in key:
return {
"snapshot_id": "snapshot3",
"timestamp": "2023-01-03T00:00:00",
"repo_name": "other/repo",
"tags": ["tag4"],
}
mock_bucket_store.get_json.side_effect = get_json_side_effect
snapshots = CodebaseContextSnapshot.list_snapshots(mock_bucket_store)
assert len(snapshots) == 3
assert snapshots[0]["snapshot_id"] == "snapshot1"
assert snapshots[1]["snapshot_id"] == "snapshot2"
assert snapshots[2]["snapshot_id"] == "snapshot3"
snapshots = CodebaseContextSnapshot.list_snapshots(mock_bucket_store, repo_name="test/repo")
assert len(snapshots) == 2
assert snapshots[0]["snapshot_id"] == "snapshot1"
assert snapshots[1]["snapshot_id"] == "snapshot2"✏️ codegen-on-oss/tests/test_context_server.pyCreate tests/test_context_server.py with content: import json
from fastapi.testclient import TestClient
from unittest import mock
import pytest
from codegen_on_oss.context_server.server import app
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def client():
return TestClient(app)
def test_root(client):
r = client.get("/")
assert r.status_code == 200
assert "endpoints" in r.json()
def test_analyze(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo") as m:
h = mock.MagicMock(spec=CodebaseAnalysisHarness)
h.analyze_codebase.return_value = {"repo_name":"r","language":"python","file_count":0,"metadata":{},"tags":[],"file_structure":{}}
m.return_value = h
r = client.post("/analyze", json={"repository":{"repo_full_name":"r","language":"python"}})
assert r.status_code == 200
def test_snapshot_create(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo"):
with mock.patch("codegen_on_oss.snapshot.context_snapshot.CodebaseContextSnapshot") as ms:
inst = mock.MagicMock()
inst.create_snapshot.return_value = "id"
ms.return_value = inst
r = client.post("/snapshot/create", json={"repository":{"repo_full_name":"r","language":"python"}})
assert r.status_code == 200
assert r.json()["snapshot_id"] == "id"Create the file with the following content: Create a new file Create a new file with the following content: # tests/test_context_server.py
import json
from pathlib import Path
from unittest import mock
import pytest
from fastapi.testclient import TestClient
from codegen_on_oss.context_server.server import app
from codegen_on_oss.analysis.harness_integration import CodebaseAnalysisHarness
from codegen_on_oss.snapshot.context_snapshot import CodebaseContextSnapshot
@pytest.fixture
def client():
return TestClient(app)
def test_root_endpoint(client):
response = client.get("/")
assert response.status_code == 200
assert "Code Context Retrieval Server" in response.json()["title"]
assert "endpoints" in response.json()
def test_analyze_endpoint(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo") as mock_from_repo:
mock_harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
mock_harness.analyze_codebase.return_value = {
"repo_name": "test/repo",
"language": "python",
"file_count": 3,
"metadata": {"test": "metadata"},
"tags": ["test", "tags"],
"file_structure": {"files": [], "dirs": {}}
}
mock_from_repo.return_value = mock_harness
response = client.post(
"/analyze",
json={
"repository": {
"repo_full_name": "test/repo",
"commit": "main",
"language": "python",
"disable_file_parse": False
},
"metadata": {"test": "metadata"},
"tags": ["test", "tags"]
}
)
assert response.status_code == 200
assert response.json()["repo_name"] == "test/repo"
assert response.json()["language"] == "python"
assert response.json()["file_count"] == 3
assert response.json()["metadata"] == {"test": "metadata"}
assert response.json()["tags"] == ["test", "tags"]
assert "file_structure" in response.json()
def test_create_snapshot_endpoint(client):
with mock.patch("codegen_on_oss.analysis.harness_integration.CodebaseAnalysisHarness.from_repo") as mock_from_repo:
with mock.patch("codegen_on_oss.snapshot.context_snapshot.CodebaseContextSnapshot") as mock_snapshot_class:
mock_harness = mock.MagicMock(spec=CodebaseAnalysisHarness)
mock_harness.analyze_codebase.return_value = {
"repo_name": "test/repo",
"language": "python",
"file_count": 3,
"metadata": {"test": "metadata"},
"tags": ["test", "tags"],
"file_structure": {"files": [], "dirs": {}}
}
mock_from_repo.return_value = mock_harness
mock_snapshot = mock.MagicMock()
mock_snapshot.create_snapshot.return_value = "test-snapshot-id"
mock_snapshot_class.return_value = mock_snapshot
response = client.post(
"/snapshot/create",
json={
"repository": {
"repo_full_name": "test/repo",
"commit": "main",
"language": "python",
"disable_file_parse": False
},
"metadata": {"test": "metadata"},
"tags": ["test", "tags"]
}
)
assert response.status_code == 200
assert response.json()["snapshot_id"] == "test-snapshot-id"A summary of the context that CodeRabbit is considering across the codebase:
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Overview
This PR integrates the
harness.pyfile fromsrc/codegen/extensions/swebench/harness.pyinto thecodegen-on-osspackage to enhance its codebase analysis and context saving capabilities.Changes
1. Created New Modules
CodebaseAnalysisHarness (
codegen_on_oss/analysis/harness_integration.py)harness.pyCodebaseContextSnapshot (
codegen_on_oss/snapshot/context_snapshot.py)CodeContextRetrievalServer (
codegen_on_oss/context_server/server.py)2. Updated Package Structure
pyproject.toml(FastAPI, Uvicorn, Pydantic)servecommand to start the CodeContextRetrievalServer3. Documentation
Key Features
How to Use
You can now use the enhanced
codegen-on-osspackage as a backend CodeContextRetrievalServer by:Starting the server:
Making API requests to analyze codebases, save context, and run agents
Or using the modules directly in your code:
💻 View my work • About Codegen
Summary by Sourcery
Integrate comprehensive codebase analysis and context management functionality into the codegen-on-oss package, adding new modules for analysis, snapshot management, and a REST API server
New Features:
Enhancements:
Build:
CI:
Documentation:
Summary by CodeRabbit
New Features
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