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name: test description: Run the TMI comprehensive test suite including unit tests, integration tests, API tests, and CATS security fuzzing. Use when asked to run tests, verify code changes, or check for regressions. allowed-tools: Bash, Read

Comprehensive Test Suite Skill

You are executing the TMI comprehensive test suite. This skill runs all test levels in sequence, stopping at the first failure to allow investigation.

Test Execution Order

The test suite runs in the following order, with each stage only running if the previous stage passed:

1. Environment Setup - Clean and rebuild the server (PostgreSQL by default)
2. Unit Tests - Fast tests with no external dependencies (~5-10 seconds)
3. Integration Tests - Full database integration tests (~30-60 seconds)
4. API Tests - Postman/Newman API test suite (~2 minutes)
5. CATS Fuzzing - Security fuzzing with CATS (~9 minutes)

Database Configuration

Default: PostgreSQL development environment (make test-integration)

Optional: Oracle ADB can be used if explicitly requested by the user during skill invocation. In that case:

• Use make test-integration-oci instead of make test-integration
• May need to reset database with make reset-db-oci if requested

Execution Instructions

Step 0: Environment Setup

Stop any running server and clean up, then rebuild and start fresh:

Copymake stop-server
make clean-everything
make build-server
make start-dev

Note: Database reset is NOT performed by default. Only reset the database if explicitly instructed by the user.

Wait for the server to be fully ready before proceeding. You can verify with:

Copycurl -s http://localhost:8080/ > /dev/null && echo "Server ready"

Step 1: Unit Tests

Run unit tests:

Copymake test-unit

Analysis:

• Look for PASS or FAIL in the output
• Check the final line for ok (pass) or FAIL (failure)
• If any test fails, report the failing test name(s) and error message(s)
• Stop here if any unit tests fail

Step 2: Integration Tests

If unit tests passed, run integration tests:

Copymake test-integration

Analysis:

• Look for PASS or FAIL in the output
• Check for database connection errors
• If any test fails, report the failing test name(s) and error message(s)
• Stop here if any integration tests fail

Step 3: API Tests

If integration tests passed, run API tests:

Copymake test-api

Analysis:

• Look for Newman test results summary
• Check for assertions passed/failed counts
• Look for iterations and requests counts
• If any assertions fail, report the failing endpoint(s) and assertion(s)
• Stop here if any API tests fail

Step 4: CATS Fuzzing

If API tests passed, run CATS security fuzzing:

Copymake cats-fuzz

This takes approximately 9 minutes. The output will show progress through various fuzzers.

Step 5: Parse and Analyze CATS Results

After CATS completes, parse the results. This takes approximately 3 minutes.

Copymake parse-cats-results

Then analyze the database. Run these queries to understand the results:

Copy# Summary statistics (excluding OAuth false positives)
sqlite3 test/outputs/cats/cats-results.db <<'SQL'
.mode column
.headers on
SELECT
    rt.name AS result,
    COUNT(*) AS count,
    ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 2) AS percentage
FROM tests t
JOIN result_types rt ON t.result_type_id = rt.id
WHERE t.is_oauth_false_positive = 0
GROUP BY rt.name
ORDER BY count DESC;
SQL

# Count OAuth false positives (expected, not real issues)
sqlite3 test/outputs/cats/cats-results.db "SELECT COUNT(*) as oauth_false_positives FROM tests WHERE is_oauth_false_positive = 1;"

# Actual errors by path (top 10)
sqlite3 test/outputs/cats/cats-results.db <<'SQL'
.mode column
.headers on
SELECT
    p.path,
    COUNT(*) AS error_count,
    GROUP_CONCAT(DISTINCT f.name) AS fuzzers
FROM tests t
JOIN result_types rt ON t.result_type_id = rt.id
JOIN paths p ON t.path_id = p.id
JOIN fuzzers f ON t.fuzzer_id = f.id
WHERE rt.name = 'error' AND t.is_oauth_false_positive = 0
GROUP BY p.path
ORDER BY error_count DESC
LIMIT 10;
SQL

# Warnings by path (top 10)
sqlite3 test/outputs/cats/cats-results.db <<'SQL'
.mode column
.headers on
SELECT
    p.path,
    COUNT(*) AS warn_count
FROM tests t
JOIN result_types rt ON t.result_type_id = rt.id
JOIN paths p ON t.path_id = p.id
WHERE rt.name = 'warn' AND t.is_oauth_false_positive = 0
GROUP BY p.path
ORDER BY warn_count DESC
LIMIT 10;
SQL

Analysis:

• OAuth false positives are expected (401/403 responses from auth tests) - these are NOT real issues
• Focus on the error and warn results where is_oauth_false_positive = 0
• Report any actual errors by path and fuzzer
• Warnings are less critical but should be noted

Reporting Guidelines

On Success

If all tests pass, report:

• Unit tests: X tests passed
• Integration tests: X tests passed
• API tests: X assertions passed
• CATS fuzzing: X tests run, Y errors (Z oauth false positives excluded)

On Failure

If any stage fails:

1. Clearly state which stage failed (unit/integration/API/CATS)
2. List the specific failing tests or endpoints
3. Include relevant error messages
4. Stop execution - do not proceed to later stages
5. Suggest next steps for investigation

Important Notes

• OAuth false positives: CATS will flag 401/403 responses as "errors" but these are expected for auth testing. The is_oauth_false_positive flag identifies these.
• CATS duration: The fuzzing stage takes ~9 minutes - this is normal
• Server must be running: All tests except unit tests require the dev server (make start-dev)
• Database required: Integration and API tests require PostgreSQL (make start-database)
• Clean state: Starting with make clean-everything ensures no stale state affects results

Database Schema Reference

The CATS results database has these key tables:

• tests - Individual test results with is_oauth_false_positive flag
• result_types - Result categories: success, warn, error, skip
• paths - API endpoints tested
• fuzzers - CATS fuzzer names
• test_results_view - Convenient view joining all tables
• test_results_filtered_view - View excluding OAuth false positives