Added Mistral LLM #919
Added Mistral LLM #919
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WalkthroughThe update introduces the Changes
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Review Status
Actionable comments generated: 3
Configuration used: CodeRabbit UI
Files ignored due to path filters (1)
pyproject.tomlis excluded by:!**/*.toml
Files selected for processing (1)
- pandasai/llm/Mistralai.py (1 hunks)
Additional comments: 2
pandasai/llm/Mistralai.py (2)
- 18-20: The class
Mistralaicorrectly inherits fromLLM, aligning with the objective to integrate Mistral LLM into the project. This inheritance ensures thatMistralaiadheres to the expected interface and behavior of language model classes within the project.- 28-33: The approach to obtaining the
api_tokenfromkwargsor environment variables is robust, ensuring flexibility in configuration. However, the explicit check forNoneand raising anAPIKeyNotFoundErrorif not found is a good practice for early error detection and clear error messaging.
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PR Type: Enhancement
PR Summary: The pull request introduces a new class, Mistralai, which is designed to integrate with the Mistral LLM API. This class provides methods to set up the API client with necessary credentials, query the API with user instructions, and handle the response. It also includes a retry mechanism for API calls and a method to process and return the response from the LLM.
Decision: Comment
📝 Type: 'Enhancement' - not supported yet.
- Sourcery currently only approves 'Typo fix' PRs.
✅ Issue addressed: this change correctly addresses the issue or implements the desired feature.
No details provided.
📝 Complexity: the changes are too large or complex for Sourcery to approve.
- Unsupported files: the diff contains files that Sourcery does not currently support during reviews.
General suggestions:
- Ensure that the class and method docstrings accurately describe the functionality and that any references to other LLMs (e.g., HuggingFace) are removed if they are not relevant.
- Review the retry logic to ensure that it behaves as expected, particularly in how it handles the 'suffix' parameter.
- Clarify any comments that may be ambiguous or not informative enough to understand the code's intention, such as the '# No streaming' comment.
- Consider improving variable names for clarity, such as the loop counter in the retry logic.
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Review Status
Actionable comments generated: 2
Configuration used: CodeRabbit UI
Files ignored due to path filters (2)
poetry.lockis excluded by:!**/*.lockpyproject.tomlis excluded by:!**/*.toml
Files selected for processing (4)
- pandasai/llm/Mistralai.py (1 hunks)
- tests/integration_tests/test_cricket.py (1 hunks)
- tests/integration_tests/test_gin.py (1 hunks)
- tests/integration_tests/test_spotify.py (1 hunks)
Files skipped from review due to trivial changes (1)
- tests/integration_tests/test_gin.py
Files skipped from review as they are similar to previous changes (1)
- pandasai/llm/Mistralai.py
Additional comments: 4
tests/integration_tests/test_spotify.py (2)
- 3-3: The removal of the
osimport is noted. Ensure that no part of the test file relies on environment variables or file system paths that would require theosmodule. If such dependencies exist, this change could potentially break the test functionality.- 1-3: > 📝 NOTE
This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [9-9]
The instantiation of
SmartDataframewith a file path constructed usingPATH_DATAand a configuration forllmappears correct. However, ensure thatPATH_DATAis correctly defined and accessible within the test environment, especially since theosimport was removed. This might affect the resolution ofPATH_DATAif it relies on environment variables or relative paths.tests/integration_tests/test_cricket.py (2)
- 3-3: Similar to the previous file, the removal of the
osimport is noted. Verify that this change does not impact the functionality of the test, especially in terms of accessing file paths or environment variables that might have required theosmodule.- 1-3: > 📝 NOTE
This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [9-9]
The setup method correctly initializes
SmartDataframewith a configuration forllm, similar to the previous file. Ensure thatPATH_DATAis correctly defined and accessible, and that the file path used for initializingSmartDataframeis valid and points to an existing CSV file.
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| from pandasai import SmartDataframe |
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📝 NOTE
This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [11-34]
The test methods test_number_response, test_plot_response, test_string_response, and test_dataframe_response are well-structured and seem to cover a variety of response types from the SmartDataframe.chat method. However, consider adding assertions for negative test cases or unexpected inputs to ensure robust error handling and validation within the SmartDataframe class.
| import unittest | ||
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| from pandasai import SmartDataframe |
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📝 NOTE
This review was outside the diff hunks, and no overlapping diff hunk was found. Original lines [11-34]
The test methods in this file, like test_number_response, test_plot_response, test_string_response, and test_dataframe_response, are structured to test various aspects of the SmartDataframe.chat method's functionality. It's recommended to include tests for error handling and edge cases to ensure the resilience and robustness of the SmartDataframe class.
pyproject.toml
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| @@ -15,13 +15,13 @@ astor = "^0.8.1" | |||
| openai = "<2" | |||
| ipython = "^8.13.1" | |||
| matplotlib = "^3.7.1" | |||
| pydantic = "^1" | |||
| pydantic = ">=2.5.2" | |||
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I see you changed the pydantic version from 1 to >2.0 . And I think thats a ground breaking change. Because in Version 2.0 alot of Pydantic 1 changes got deprecated(or the way to use them changed). So I do have doubt by changing the Version to >2.0 will break something.
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@Zidane786 thanks for your review. But mistralai is not working if pydantic is < 2.5.2. Can you suggest me some way for this issue.
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@gventuri could you also once look into this?
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