This will ensure the integrity and accuracy of storing and reconstructing CWL files from the database. It will involve parsing CWL files, storing them in the database, reconstructing the CWL files from the stored data, and comparing the original and reconstructed files to ensure they match.
Tasks:
Perform a diff comparison between the original CWL files and the reconstructed CWL files.
Identify and log any discrepancies.
Automate the Process:
Create an automated testing framework to run the entire bidirectional testing process and record the results.
Generate a summary report to show the success rate of the parsing, storing, and reconstruction processes.
Acceptance Criteria:
The parsing module should accurately extract workflow and tool details from the CWL files.
The database should store the parsed data correctly.
The reconstruction module should convert the stored data back to CWL format accurately.
The diff comparison should show minimal discrepancies between the original and reconstructed CWL files.
A summary report should be generated, showing the success rate of each stage in the process.
This will ensure the integrity and accuracy of storing and reconstructing CWL files from the database. It will involve parsing CWL files, storing them in the database, reconstructing the CWL files from the stored data, and comparing the original and reconstructed files to ensure they match.
Tasks:
Automate the Process:
Acceptance Criteria: