Bump llamacloud index and fix issues #456
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🦋 Changeset detectedLatest commit: 05c2d53 The changes in this PR will be included in the next version bump. This PR includes changesets to release 1 package
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WalkthroughThis pull request introduces a patch named "create-llama" that updates the LlamaCloud library to a newer version, addressing breaking changes to ensure compatibility with existing code. It also updates various dependency versions in multiple files, including vector databases and tools, without altering the overall structure or logic. Additionally, modifications to the Changes
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| if config is None: | ||
| config = IndexConfig() | ||
| index = LlamaCloudIndex(**config.to_index_kwargs()) |
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The newly update resolve and throw the index if it's not exist automatically, see: run-llama/llama_index@a56c3e0#diff-52ef3b6a93ae4dc22f541ee65207a1f7a22b4724ec0f757e3b7f221dd480b2b6R90
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (4)
templates/components/vectordbs/python/llamacloud/index.py (2)
94-103: Review exception handling inget_indexfunctionCatching a general
ValueErrormay mask other issues that raiseValueError. Consider catching a more specific exception that indicates the index does not exist, or adding logic to verify that the exception is due specifically to a missing index.
87-103: Consider adding docstrings toget_indexand_create_indexfunctionsAdding docstrings to these functions would improve code maintainability and help others understand their purpose, parameters, and return values.
Also applies to: 111-146
templates/components/vectordbs/python/llamacloud/generate.py (1)
41-44: Add error handling when adding files to the pipelineConsider adding exception handling around
LLamaCloudFileService.add_file_to_pipelineto manage potential errors during file upload and provide informative feedback.helpers/python.ts (1)
Python version constraint is too restrictive
The current constraint
>=3.11,<3.13in the code is more restrictive than necessary. The packagellama-index-callbacks-arize-phoenixactually supports Python>=3.9,<3.13. While this aligns with the project's minimum Python requirement of 3.11 seen in other files, we should avoid unnecessarily limiting the upper bound.
helpers/python.ts: Update the Python constraint to match the package's actual requirements or at least extend to<3.14to align with other project files🔗 Analysis chain
Line range hint
527-531: Verify Python version constraint for observability packageThe update to
llama-index-callbacks-arize-phoenixincludes a Python version constraint (>=3.11,<3.13). Please ensure:
- This constraint aligns with the project's Python version requirements
- The constraint is compatible with other dependencies
- The observability features work correctly with the new version
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#!/bin/bash # Description: Check Python version compatibility across packages # Get Python version constraints from all dependencies rg "python.*=.*3\.1[1-3]" | sort | uniq # Check arize-phoenix package details curl -s "https://pypi.org/pypi/llama-index-callbacks-arize-phoenix/json" | \ jq -r '.info | {requires_python, version, summary}'Length of output: 646
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📒 Files selected for processing (7)
.changeset/shaggy-rats-draw.md(1 hunks)helpers/python.ts(7 hunks)helpers/tools.ts(2 hunks)templates/components/vectordbs/python/llamacloud/generate.py(2 hunks)templates/components/vectordbs/python/llamacloud/index.py(2 hunks)templates/components/vectordbs/python/llamacloud/service.py(3 hunks)templates/types/streaming/fastapi/pyproject.toml(1 hunks)
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- .changeset/shaggy-rats-draw.md
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templates/types/streaming/fastapi/pyproject.toml (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/vectordbs/python/llamacloud/generate.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/vectordbs/python/llamacloud/service.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/vectordbs/python/llamacloud/index.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (15)
templates/components/vectordbs/python/llamacloud/index.py (4)
5-5: Import of PipelineType is appropriate
The addition of PipelineType import is necessary for specifying the pipeline type when searching for pipelines in the _create_index function.
10-10: Import of Settings is appropriate
The import of Settings allows access to embedding models and other configuration settings used in the index creation process.
87-90: Enhanced get_index function with create_if_missing parameter
The addition of the create_if_missing parameter to get_index improves functionality by providing the option to automatically create the index if it doesn't exist.
111-146: Index creation logic is well-implemented
The _create_index function effectively handles index creation, including searching for existing pipelines and configuring the new pipeline with appropriate embedding and transformation settings.
templates/components/vectordbs/python/llamacloud/generate.py (3)
9-9: Import of SimpleDirectoryReader is appropriate
The import is necessary for reading input files from the data directory using SimpleDirectoryReader.
23-25: Updated index retrieval with create_if_missing parameter
By setting create_if_missing=True, the code now ensures that the index is created if it does not exist, enhancing the robustness of the data generation process. The subsequent check for index is None appropriately handles cases where index creation fails.
41-41: Adjusted parameters for file upload to use index attributes
Updating the parameters to index.project.id and index.pipeline.id correctly associates the uploaded files with the specific project and pipeline, ensuring they are processed in the correct context.
templates/types/streaming/fastapi/pyproject.toml (1)
22-22: Verify compatibility with related llama-index dependencies
The bump from ^0.11.17 to ^0.12.1 is a minor version update. Let's verify compatibility with other llama-index related packages.
templates/components/vectordbs/python/llamacloud/service.py (3)
5-11: LGTM! Import organization improved
The imports are now better organized, with standard library imports first, followed by third-party imports.
70-74: LGTM! Improved variable consistency
Good improvement in code clarity by consistently using the file_id variable throughout the method.
83-85: LGTM! Using keyword arguments as suggested
The change addresses the previous review comment by using keyword arguments in the get_pipeline_file_status call, improving code readability.
helpers/tools.ts (1)
44-44: Verify compatibility between updated tool versions and core llama-index
Both llama-index-tools-google and llama-index-tools-wikipedia have been bumped from ^0.2.0 to ^0.3.0. Let's verify compatibility with the core llama-index version.
Also applies to: 85-85
✅ Verification successful
Version updates are compatible with the codebase
The version updates for llama-index-tools-google and llama-index-tools-wikipedia from ^0.2.0 to ^0.3.0 are safe because:
- These tools are only used in the template configuration and not directly in the codebase
- The core
llamaindexpackage is at version0.8.2in both Express and Next.js templates, which is compatible with the0.3.xseries of tool packages - The tools are properly isolated in the
supportedToolsconfiguration and their usage is framework-specific
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helpers/python.ts (3)
125-125: Verify the impact of reader package updates
The version updates for web and database readers are minor version bumps. Please ensure:
- The new versions maintain backward compatibility
- Any new features or bug fixes are documented
Also applies to: 131-131
40-40: Verify compatibility between updated vector store dependencies
The significant version bumps across multiple vector store packages may introduce breaking changes. Please ensure:
- These versions are compatible with each other
- The Python version constraints (3.11 to 3.13) are consistent across packages
- No breaking changes affect the existing vector store implementations
Also applies to: 47-47, 54-54, 64-64, 75-75, 82-82, 92-92, 99-99, 106-106
✅ Verification successful
Vector store dependency updates are safe to proceed
Based on the analysis of version history and codebase usage:
- All updated versions follow a natural progression with no unexpected jumps
- The vector store implementations in the codebase use basic initialization patterns that are unlikely to be affected by the version updates
- Each vector store is independently implemented in separate template files, reducing the risk of cross-dependency issues
- The usage patterns found in the codebase stick to core functionality (basic initialization and configuration) which tends to remain stable across minor version updates
The version bumps appear to be routine maintenance updates rather than major architectural changes, and the implementations in the codebase use stable APIs that are unlikely to be affected.
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170-170: Verify OpenAI package updates for breaking changes
The version updates for OpenAI packages are significant. Please ensure:
- The changes are compatible with the current OpenAI API version
- Any breaking changes are properly handled in the codebase
- The updates align with the LlamaCloud compatibility requirements
Also applies to: 174-174, 178-178
✅ Verification successful
Let me analyze the code usage to verify the impact of these OpenAI package updates.
Based on the analysis of the codebase, I can now provide a final response regarding the OpenAI package updates.
OpenAI package updates are safe to proceed
The version updates (llms-openai: 0.3.2, embeddings-openai: 0.3.1, agent-openai: 0.4.0) are safe to proceed because:
- The codebase uses high-level abstractions through the Settings class and doesn't directly depend on internal OpenAI package implementations
- The OpenAI-related imports are properly encapsulated in the settings modules
- The usage patterns show standard initialization through configuration variables, which are unlikely to be affected by these minor version updates
- No direct usage of deprecated or removed features was found in the codebase
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
templates/types/extractor/fastapi/app/ui/components/upload.py (2)
Line range hint
18-35: Add security measures and robust error handlingThe file handling implementation has several security and robustness concerns:
- Missing file type validation
- No file size limits
- Potential path traversal vulnerability
- Unprotected file operations
Consider implementing these security measures:
async def handle_upload(self, files: list[rx.UploadFile]): + MAX_FILE_SIZE = 10 * 1024 * 1024 # 10MB + ALLOWED_EXTENSIONS = {'.txt', '.pdf', '.doc', '.docx'} for file in files: + if len(upload_data) > MAX_FILE_SIZE: + return rx.toast.error("File too large", position="top-center") + if not os.path.splitext(file.filename)[1].lower() in ALLOWED_EXTENSIONS: + return rx.toast.error("Invalid file type", position="top-center") + safe_filename = os.path.basename(file.filename) upload_data = await file.read() - outfile = os.path.join(self._uploaded_dir, file.filename) + outfile = os.path.join(self._uploaded_dir, safe_filename) with open(outfile, "wb") as f: f.write(upload_data)
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13-15: Consider separating concernsThe
UploadedFilesStateclass currently handles both UI state and file operations. Consider:
- Creating a separate
FileServiceclass for file operations- Moving validation logic to a dedicated validator
- Using dependency injection for better testability
This would improve maintainability and make the code more testable.
Example structure:
class FileService: def __init__(self, upload_dir: str, validator: FileValidator): self._upload_dir = upload_dir self._validator = validator async def save_file(self, file: rx.UploadFile) -> UploadedFile: # File handling logic here class UploadedFilesState(rx.State): def __init__(self, file_service: FileService): self._file_service = file_service
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templates/types/extractor/fastapi/app/ui/components/upload.py(2 hunks)templates/types/extractor/fastapi/pyproject.toml(1 hunks)
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templates/types/extractor/fastapi/pyproject.toml (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/types/extractor/fastapi/app/ui/components/upload.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (3)
templates/types/extractor/fastapi/pyproject.toml (1)
17-17: Verify compatibility with the new llama-index version
The bump from ^0.11.1 to ^0.12.1 indicates a minor version update which may include breaking changes. Please ensure compatibility with other dependencies, particularly with pydantic which is constrained to <2.10.
Run the following script to check for potential compatibility issues:
Consider adding a comment in the pyproject.toml file documenting:
- The reason for the version bump
- Any breaking changes that need attention
- Links to migration guides if available
This will help future maintainers understand the version constraints and migration requirements.
✅ Verification successful
Version bump is consistent across template files
The version update from ^0.11.1 to ^0.12.1 is consistent with other template files, as both templates/types/extractor/fastapi/pyproject.toml and templates/types/streaming/fastapi/pyproject.toml use the same version. Since this is a template file and the change is part of a coordinated update across multiple templates, the version bump is appropriate.
- The codebase shows extensive usage of llama-index across multiple template components
- The CHANGELOG.md indicates a history of coordinated llama-index version updates
- The change is consistent with the PR title "Bump llamacloud index and fix issues"
🏁 Scripts executed
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#!/bin/bash
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# Check if llama-index 0.12.1 specifies any specific dependency constraints
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rg -i "llama.*index.*0\.1[12]"
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templates/types/extractor/fastapi/app/ui/components/upload.py (2)
82-85: LGTM: UI size adjustments
The size parameter changes align with the design system updates while maintaining proper component structure.
5-7: Verify error handling for generate_datasource import
The new dependency is critical for index generation. Ensure that the application handles import errors gracefully if the module is not available.
✅ Verification successful
Import error handling is properly implemented
The generate_datasource function is properly defined in the codebase at templates/types/extractor/fastapi/app/engine/generate.py and its usage in the upload component is wrapped in a try-except block that handles exceptions appropriately by:
- Catching any potential exceptions during datasource generation
- Cleaning up the uploaded file in case of failure
- Removing the file from the uploaded files list
- Showing an error toast to the user
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🧹 Outside diff range and nitpick comments (1)
templates/components/vectordbs/python/llamacloud/generate.py (1)
36-56: Enhance error handling in file processing loopThe addition of error handling and progress tracking is good, but consider these improvements:
- Add more specific error types instead of catching all exceptions
- Include file size in error logging for better debugging
error_files = [] for input_file in tqdm( files_to_process, desc="Processing files", unit="file", ): with open(input_file, "rb") as f: logger.debug( f"Adding file {input_file} to pipeline {index.name} in project {index.project_name}" ) try: LLamaCloudFileService.add_file_to_pipeline( index.project.id, index.pipeline.id, f, custom_metadata={}, wait_for_processing=False, ) - except Exception as e: + except (IOError, ValueError, RuntimeError) as e: + file_size = os.path.getsize(input_file) error_files.append(input_file) - logger.error(f"Error adding file {input_file}: {e}") + logger.error(f"Error adding file {input_file} (size: {file_size} bytes): {e}")
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📒 Files selected for processing (3)
templates/components/vectordbs/python/llamacloud/generate.py(2 hunks)templates/components/vectordbs/python/llamacloud/service.py(2 hunks)templates/types/streaming/fastapi/app/services/file.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- templates/components/vectordbs/python/llamacloud/service.py
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templates/types/streaming/fastapi/app/services/file.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
templates/components/vectordbs/python/llamacloud/generate.py (1)
Pattern templates/**: For files under the templates folder, do not report 'Missing Dependencies Detected' errors.
🔇 Additional comments (4)
templates/components/vectordbs/python/llamacloud/generate.py (3)
9-10: LGTM: Import changes improve functionality
The addition of tqdm for progress tracking and the updated import path for SimpleDirectoryReader from llama_index.core.readers are good improvements.
58-59: LGTM: Error summary provides good visibility
The error summary at the end of processing helps track failed files effectively.
24-26: Verify error handling for index creation
The new index creation logic with create_if_missing=True is more robust, but we should ensure consistent error handling across the codebase.
✅ Verification successful
Error handling for index creation is consistent across the codebase
The codebase shows consistent error handling patterns for get_index():
- In
llamacloud/generate.py, the error handling withcreate_if_missing=TrueandValueErroris appropriate - Other components follow similar patterns:
- Chat engine raises
HTTPExceptionwhen index is None - Financial report workflow raises
ValueError - Form filling and blog components handle None index gracefully for optional index scenarios
- Extractor raises
HTTPExceptionwhen index is None
- Chat engine raises
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templates/types/streaming/fastapi/app/services/file.py (1)
252-252: Verify consistency of wait_for_processing parameter
The wait_for_processing=True setting here differs from generate.py which uses False. This inconsistency could lead to different behavior in different parts of the application.
Consider documenting the rationale for different wait_for_processing values in different contexts, as this affects the application's behavior and performance characteristics.
✅ Verification successful
Different wait_for_processing values are intentional and correct
The different values for wait_for_processing are actually appropriate for their respective contexts:
- In
generate.py,wait_for_processing=Falseis used for batch processing scenarios - In
file.py,wait_for_processing=Trueis used for direct file uploads where immediate processing is needed - The service implementation in
service.pyshowswait_for_processing=Trueas the default parameter value
The implementation is consistent with typical patterns where batch operations are asynchronous while direct user-initiated operations are synchronous for better feedback.
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rg "wait_for_processing"
Length of output: 2223
Summary by CodeRabbit
New Features
Bug Fixes
Chores