Fix example #23
Fix example #23
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The tests fail due to the ref. You can change it back to develop if you want. |
WalkthroughThe changes involve updates to several configuration files and documentation within the project. Key modifications include changing the default value for the Changes
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Actionable comments posted: 2
Outside diff range and nitpick comments (3)
template/requirements.txt (1)
Line range hint
1-5: Consider adding version constraints for all packagesTo ensure reproducibility and avoid potential compatibility issues, it's recommended to specify version constraints for all packages in the requirements file.
Consider updating the requirements to include version constraints for all packages:
zenml[server]>=0.50.0 -notebook -scikit-learn -pyarrow -pandas +notebook>=6.4.0 +scikit-learn>=0.24.0 +pyarrow>=5.0.0 +pandas>=1.3.0Replace the suggested versions with the minimum versions that work for your project. You might also consider using the
==operator instead of>=if you want to pin to specific versions for even more reproducibility.template/configs/feature_engineering.yaml (1)
7-8: Consider moving pyarrow to required_integrations for consistency.Currently, 'pyarrow' is listed under 'requirements' while 'sklearn' and 'pandas' are under 'required_integrations'. For consistency, consider moving 'pyarrow' to the 'required_integrations' list if it's essential for the Docker environment.
If you decide to make this change, here's the suggested modification:
settings: docker: required_integrations: - sklearn - pandas + - pyarrow requirements: - - pyarrowtemplate/README.md (1)
51-51: Remove trailing punctuation from headingThere's a trailing colon in the heading on line 51. While this doesn't affect functionality, it's good practice to maintain consistent formatting in markdown files.
Consider removing the trailing colon from the heading:
-#### Option 1 - Interactively explore the quickstart using Jupyter Notebook: +#### Option 1 - Interactively explore the quickstart using Jupyter NotebookTools
Markdownlint
51-51: Punctuation: ':'
Trailing punctuation in heading(MD026, no-trailing-punctuation)
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (8)
- .github/workflows/ci.yml (1 hunks)
- template/README.md (3 hunks)
- template/configs/feature_engineering.yaml (1 hunks)
- template/configs/inference.yaml (1 hunks)
- template/configs/training_rf.yaml (1 hunks)
- template/configs/training_sgd.yaml (1 hunks)
- template/quickstart.ipynb (1 hunks)
- template/requirements.txt (1 hunks)
Files skipped from review due to trivial changes (1)
- template/quickstart.ipynb
Additional context used
Markdownlint
template/README.md
51-51: Punctuation: ':'
Trailing punctuation in heading(MD026, no-trailing-punctuation)
Additional comments not posted (8)
template/configs/inference.yaml (1)
6-6: LGTM! Consider adding pandas to requirements.The addition of 'pandas' to the required_integrations is appropriate and aligns with common practices in ML projects. However, for consistency, consider also adding 'pandas' to the 'requirements' section.
Consider updating the 'requirements' section as follows:
requirements: - pyarrow + - pandasAs the PR objectives mention failing tests due to a reference issue, please ensure this change doesn't introduce any new conflicts. You might want to run the following command to check for any pandas-related issues in the tests:
This will help verify if the addition of pandas is consistent with its usage in the test suite.
Verification successful
Verified: 'pandas' is used in multiple parts of the codebase.
- Adding 'pandas' to the
required_integrationsis appropriate.- For consistency, please add 'pandas' to the
requirementssection as well:requirements: - pyarrow + - pandasScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for pandas usage in test files rg --type python 'import pandas' test/Length of output: 71
Script:
#!/bin/bash # List all recognized file types in rg rg --type-listLength of output: 4821
Script:
#!/bin/bash # Search for pandas usage in Python test files without specifying type rg 'import pandas' test/ --type pyLength of output: 82
Script:
#!/bin/bash # Search for 'import pandas' in all Python files in the repository rg 'import pandas' --type pyLength of output: 460
Script:
#!/bin/bash # Find all Python files and search for 'import pandas' fd --extension py --exec rg 'import pandas' {}Length of output: 210
template/configs/training_rf.yaml (1)
6-6: LGTM! Consider adding pandas to requirements.The addition of 'pandas' to the required_integrations is appropriate and aligns with common data preprocessing needs for machine learning tasks.
For consistency, consider also adding 'pandas' to the 'requirements' section:
docker: required_integrations: - sklearn - pandas requirements: - pyarrow + - pandasAs mentioned in the PR comments, there are failing tests due to a reference issue. While this change doesn't directly address that, please ensure you've addressed the failing tests, possibly by reverting the reference to the "develop" branch as suggested.
To verify the consistency of pandas usage across the project, you can run:
This will help ensure that the addition of pandas is consistent throughout the project.
Verification successful
Verified: Pandas addition is consistent and properly integrated.
The addition of
pandasto bothrequired_integrationsandrequirements.txthas been successfully verified. Multiple instances ofimport pandas as pdin the codebase confirm its appropriate usage.
pandasis listed intemplate/requirements.txt.pandasis imported in the following files:
template/utils/preprocess.pytemplate/steps/model_trainer.pytemplate/steps/inference_predict.pytemplate/steps/inference_preprocessor.pytemplate/steps/data_splitter.pytemplate/steps/model_evaluator.pytemplate/steps/data_loader.pytemplate/steps/data_preprocessor.pyPlease ensure that the failing tests related to the reference issue are addressed separately.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for pandas imports and requirements across the project echo "Checking for pandas imports:" rg 'import\s+pandas' --type python echo "\nChecking for pandas in requirements files:" rg 'pandas' --type yaml --type txt | grep -i 'requirements'Length of output: 324
Script:
#!/bin/bash # Description: Check for pandas imports using ast-grep echo "Searching for 'import pandas' statements using ast-grep:" ast-grep --lang python --pattern 'import pandas' --pattern 'from pandas import'Length of output: 377
Script:
#!/bin/bash # Description: Check for pandas imports using a single ast-grep pattern echo "Searching for 'import pandas' and 'from pandas import' statements using ast-grep:" ast-grep --lang python --pattern 'import pandas|from pandas import' .Length of output: 601
Script:
#!/bin/bash # Description: Check for 'import pandas' and 'from pandas import' statements using ripgrep with correct file type echo "Searching for 'import pandas' statements:" rg 'import\s+pandas' --type py echo "\nSearching for 'from pandas import' statements:" rg 'from\s+pandas\s+import' --type pyLength of output: 714
template/configs/training_sgd.yaml (2)
Line range hint
1-20: Configuration appears consistent and well-structured.The addition of 'pandas' to the required integrations is the only change in this file. The rest of the configuration, including model metadata and pipeline parameters, remains unchanged. This suggests that the core functionality and pipeline structure are maintained while expanding data handling capabilities.
A few points to consider:
- Ensure that any scripts or notebooks using this configuration are updated to leverage pandas if needed.
- If there are any documentation or README files describing the project dependencies, make sure they're updated to include pandas.
- Verify that the CI/CD pipeline can handle the additional pandas requirement without issues.
To ensure the change doesn't introduce any unintended consequences, please run the following script to check for any pandas-related TODOs or FIXMEs that might have been added:
#!/bin/bash # Description: Check for pandas-related TODOs or FIXMEs # Search for pandas-related TODOs or FIXMEs in Python files rg --type python -e 'TODO.*pandas' -e 'FIXME.*pandas'This will help identify any pending tasks or potential issues related to the pandas integration.
6-6: LGTM! Verify consistency across the project.The addition of 'pandas' as a required integration is appropriate, given its common use in data manipulation for machine learning projects. This change aligns well with the existing 'sklearn' integration and the 'pyarrow' requirement.
To ensure consistency, please run the following script to check if 'pandas' is added as a required integration in other relevant configuration files:
This will help verify that the change is consistently applied across the project, as mentioned in the AI summary.
Verification successful
Verified: 'pandas' is consistently added across all relevant configuration files.
- Files checked:
template/configs/training_sgd.yamltemplate/configs/training_rf.yamltemplate/configs/inference.yamltemplate/configs/feature_engineering.yamlScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for 'pandas' in required_integrations across all YAML files # Search for 'pandas' under required_integrations in all YAML files rg --type yaml -A 5 'required_integrations:' | rg -A 5 'pandas'Length of output: 180
Script:
#!/bin/bash # Description: Verify that 'pandas' is listed under 'required_integrations' in all YAML configuration files # Search for 'required_integrations' and check if 'pandas' is included rg --type yaml 'required_integrations:' -A 5 | rg 'pandas'Length of output: 259
.github/workflows/ci.yml (1)
58-58: Approve the change to use 'develop' as the default referenceThis change aligns with the PR objective and addresses the failing tests issue mentioned in the comments. Using 'develop' as the default reference is more standard and likely more up-to-date than a feature branch.
To ensure this change doesn't negatively impact other workflows or PRs, please run the following verification script:
If the script returns any results, consider updating those references as well or confirm if they should remain unchanged.
Verification successful
No remaining references to 'feature/PRD-566-dependency-cleanup' found in workflow files.
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for any other references to the old feature branch in workflow files # Test: Search for any remaining references to the old feature branch rg --type yaml 'feature/PRD-566-dependency-cleanup' .github/workflowsLength of output: 69
template/README.md (3)
54-54: Verify the addition of pandas integrationThe ZenML integration installation command has been updated to include
pandasalongsidesklearn. This change suggests that pandas is now a required dependency for the project.Please run the following script to confirm the usage of pandas in the project:
#!/bin/bash # Verify the usage of pandas in the project echo "Searching for pandas usage in Python files:" rg -t py 'import\s+pandas' || rg -t py 'from\s+pandas' if [ $? -eq 0 ]; then echo "pandas is used in the project." else echo "Warning: No explicit pandas import found. Please verify if this dependency is necessary." fi
39-39: Verify the new local directory pathThe local directory navigation command has been updated to
cd zenml/examples/mlops_starter. This change is consistent with the project restructuring mentioned in the AI-generated summary and the Colab link update.Please run the following script to confirm the existence of the new directory:
#!/bin/bash # Verify the existence of the new local directory path if fd -t d 'examples/mlops_starter'; then echo "The new directory path exists." else echo "Warning: The new directory path does not exist. Please check if the path is correct." fi
27-27: Verify the new Colab notebook pathThe Colab link has been updated to point to a new path:
examples/mlops_starter/quickstart.ipynb. This change is consistent with the project restructuring mentioned in the AI-generated summary.Please run the following script to confirm the existence of the new notebook:
Verification successful
Re-run the path verification with the corrected script
Please execute the following script to confirm the existence of the new notebook path:
Correct the shell script syntax and re-verify the notebook path
Please execute the following script to confirm the existence of the new notebook path:
New Colab notebook path verified
The new Colab notebook path
examples/mlops_starter/quickstart.ipynbhas been confirmed to exist in the repository.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Verify the existence of the new Colab notebook path if fd -p 'examples/mlops_starter/quickstart.ipynb'; then echo "The new notebook path exists." else echo "Warning: The new notebook path does not exist. Please check if the path is correct." fiLength of output: 644
Script:
#!/bin/bash # Verify the existence of the new Colab notebook path if fd 'examples/mlops_starter/quickstart.ipynb'; then echo "The new notebook path exists." else echo "Warning: The new notebook path does not exist. Please check if the path is correct." fiLength of output: 113
Script:
#!/bin/bash # Verify the existence of the new Colab notebook path if fd 'examples/mlops_starter/quickstart.ipynb'; then echo "The new notebook path exists." else echo "Warning: The new notebook path does not exist. Please check if the path is correct." fiLength of output: 113
| @@ -2,3 +2,4 @@ zenml[server]>=0.50.0 | |||
| notebook | |||
| scikit-learn | |||
| pyarrow | |||
| pandas | |||
There was a problem hiding this comment.
Approve pandas addition, but consider version constraint
The addition of pandas is a good choice for data manipulation tasks and aligns well with the existing data-related packages. However, to ensure long-term stability and reproducibility, consider adding a version constraint.
Consider updating the line to include a version constraint:
-pandas
+pandas>=1.3.0Replace 1.3.0 with the minimum version that works for your project.
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.
| pandas | |
| pandas>=1.3.0 |
| @@ -3,6 +3,7 @@ settings: | |||
| docker: | |||
| required_integrations: | |||
| - sklearn | |||
| - pandas | |||
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Tip
Codebase Verification
Inconsistent Inclusion of pandas in required_integrations
The pandas library is already included in multiple configuration files (training_sgd.yaml, training_rf.yaml, inference.yaml). To maintain consistency, consider adding pandas to the required_integrations list in these files as well.
Analysis chain
LGTM: Addition of pandas to required_integrations.
The inclusion of pandas as a required integration is a good addition, as it's commonly used alongside sklearn for data manipulation in feature engineering tasks.
To ensure consistency across the project, let's verify the usage of pandas in other files:
Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for pandas usage in Python files and other YAML configs
echo "Checking for pandas imports in Python files:"
rg --type python 'import\s+pandas'
echo "\nChecking for pandas in other YAML config files:"
rg --type yaml 'pandas' --glob '!template/configs/feature_engineering.yaml'
Length of output: 497
Script:
#!/bin/bash
# Description: Check for pandas imports in Python files by explicitly searching .py files
echo "Checking for pandas imports in Python files:"
rg 'import\s+pandas' --glob '*.py'
echo "\nChecking for pandas in other YAML config files:"
rg 'pandas' --type yaml --glob '!template/configs/feature_engineering.yaml'
Length of output: 896
Summary by CodeRabbit
New Features
pandasas a required integration for Docker configurations across multiple templates.Documentation
Chores
pandasto the project requirements for enhanced data manipulation capabilities.