Matching by batch of schemas with filename_pattern
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added 5 commits
March 22, 2024 13:43
Updated the ValidateCsv command to handle multiple CSV files and schema files, and enhanced the validation process. This change enables the application to match multiple CSV files to their corresponding schemas based on filename patterns; providing more specific validations and detailed feedback for the user. Furthermore, committed changes included adjustments for readability, additional error checks and enhanced output formatting for validation results.
This commit implements quick mode in both CSV and schema validation. It enables the process to stop at the first detected error when quick mode is activated. The logic for schema and CSV validation has been updated to support early exit on detecting errors. Minor text changes were also made to improve clarity and output messages.
This commit introduces a quick mode in CSV and schema validation process, enhancing the performance by terminating the process upon encountering the first error. Also, there have been some updates in logic handling validation as well as code refactoring which involves clear and descriptive output messages.
The quick mode feature has been added to the CSV and schema validation test, allowing for faster performance by halting upon the first error. This update also includes improvements in validation logic and better output messages, achieved through code refactoring.
filename_patternfilename_pattern
Pull Request Test Coverage Report for Build 8389643575Details
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added 3 commits
March 22, 2024 14:35
More efficient CSV validation process has been implemented in the GitHub workflows. Now, it includes a quick mode, which dramatically improves the performance by stopping at the first error. It also provides more user-friendly and informative output messages.
A new test has been added for scenarios where the CSV schema does not include a filename pattern. This ensures that the validation process correctly identifies schemas without filename patterns and applies them to all CSV files found in the specified directory. Additionally, a new demo_invalid_no_pattern.yml has been added to aid in testing.
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Updated the ValidateCsv command to handle multiple CSV files and schema files, and enhanced the validation process. This change enables the application to match multiple CSV files to their corresponding schemas based on filename patterns; providing more specific validations and detailed feedback for the user. Furthermore, committed changes included adjustments for readability, additional error checks and enhanced output formatting for validation results.