CSV Validation Report JSON Example
This page provides a complete example of the CSV Validation Report in JSON format.
Complete Example
See the complete example file: csv_validation_report.json
Structure Overview
{
"report_metadata": {
"title": "CSV Validation Summary Report",
"generated_date": "2024-01-15T10:30:00",
"version": "1.0"
},
"specifications": {
"design_spec": {
"title": "Design Specification",
"version": "1.0",
"requirement_count": 3
},
"functional_spec": {
"title": "Functional Specification",
"version": "1.0",
"requirement_count": 4
},
"user_spec": {
"title": "User Specification",
"version": "1.0",
"requirement_count": 3
}
},
"test_summary": {
"total_test_cases": 7,
"passed": 6,
"failed": 0,
"skipped": 0,
"not_executed": 1,
"pass_rate": 85.7
},
"coverage": {
"total_requirements": 7,
"covered_requirements": 6,
"coverage_percentage": 85.7,
"uncovered_requirements": ["FS-004"]
},
"test_cases": [
{
"id": "TEST-FS-001",
"title": "Test FS-001: User Login Functionality",
"requirements": ["FS-001"],
"status": "PASSED",
"spec_type": "Functional"
}
]
}
Using the Example
- View the JSON: Open
csv_validation_report.jsonin any text editor or JSON viewer - Validate: Use a JSON validator to ensure the format is correct
- Process: Use the JSON in your own scripts or tools
Generating Your Own
Run pytest with the GxP plugin to generate your own validation report:
The validation report will be generated in JSON format in the specified report directory.
Programmatic Access
import json
# Load the report
with open('csv_validation_report.json') as f:
report = json.load(f)
# Access test summary
print(f"Total tests: {report['test_summary']['total_test_cases']}")
print(f"Pass rate: {report['test_summary']['pass_rate']}%")
# Access coverage
print(f"Coverage: {report['coverage']['coverage_percentage']}%")
print(f"Uncovered: {report['coverage']['uncovered_requirements']}")
# Iterate test cases
for test_case in report['test_cases']:
print(f"{test_case['id']}: {test_case['status']}")