Always leverage established testing frameworks and APIs over custom bash scripts or direct Python execution for test automation. Using proper testing frameworks improves maintainability, provides better error handling, and enables more flexible test configuration.
Always leverage established testing frameworks and APIs over custom bash scripts or direct Python execution for test automation. Using proper testing frameworks improves maintainability, provides better error handling, and enables more flexible test configuration.
For Python tests:
Example - Before:
python test.py http://127.0.0.1:5000/verify-tracecontext
Example - After:
export SERVICE_ENDPOINT=http://127.0.0.1:5000/verify-tracecontext
pytest test.py -k "not test_tracestate_duplicated_keys"
For test tooling scripts, prefer language-specific APIs over shell scripts for complex logic. This allows for better error handling and easier maintenance:
# Using a Python API for testing tools instead of bash
from griffe import check
def run_checks(branch="main"):
# More maintainable than equivalent bash
results = check.verify_against_branch(branch)
# Process results with proper error handling
Remember to document any test exclusions with clear explanations and FIXMEs for future follow-up.
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