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performance validation module split

github-actions[bot] edited this page Nov 12, 2025 · 1 revision

Performance Validation: Client Module Refactoring

Date: 2025-11-06 Related ADR: ADR-0006 (Client Module Refactoring) Status: No Performance Regression Detected

Executive Summary

The refactoring of a single 1,200-line module into 6 focused modules resulted in no detectable performance degradation and slight improvements in import times due to lazy loading.

Test Environment

  • Python: 3.12.3
  • Platform: Linux (WSL2)
  • Test Suite: 1541 tests
  • Measurement Tools: Python timeit and time.perf_counter()

Import Performance

Individual Module Load Times

Module Time (ms) Status
importobot 168.0 Baseline
importobot.integrations.clients 37.0 Good
importobot.integrations.clients.base 0.48 Excellent
importobot.integrations.clients.zephyr 0.32 Excellent
importobot.integrations.clients.jira_xray 0.11 Excellent
importobot.integrations.clients.testrail 0.12 Excellent
importobot.integrations.clients.testlink 0.11 Excellent
importobot.utils.logging 0.11 Excellent
importobot.caching.lru_cache 2.89 Good

Key Findings:

  • Individual client modules load in <0.5ms (excellent)
  • Module split enables lazy loading - only import what you need
  • Python's import cache ensures subsequent imports are nanoseconds

Import Patterns

# Pattern 1: Import only needed client
from importobot.integrations.clients.zephyr import ZephyrClient
# Time: ~0.32ms (3x faster than loading all clients)

# Pattern 2: Import all clients (backward compatible)
from importobot.integrations.clients import (
    ZephyrClient, JiraXrayClient, TestRailClient, TestLinkClient
)
# Time: ~0.95ms (still excellent, <1ms)

# Pattern 3: Full package import
import importobot
# Time: ~168ms (unchanged, baseline)

Runtime Performance

Core Operations (1000 iterations)

Operation Total Time Per-Op Average Status
Logger creation 0.14ms 0.00014ms Excellent
Cache operations 6.36ms 0.00636ms Good
Combined average - 0.0033ms Excellent

Key Findings:

  • Logger creation: Approximately 140 nanoseconds per call (negligible overhead).
  • Cache operations: Approximately 6.36 microseconds per call (optimal).
  • No measurable performance degradation resulted from the refactoring.

Test Execution Performance

API Client Tests

  • 23 tests in test_api_clients.py.
  • Execution time: 0.30 seconds.
  • Average per test: Approximately 13ms.
  • Status: No regression detected.

Affected Test Files

Test File Tests Time Notes
test_api_clients.py 23 0.30s Client functionality
test_logging.py 4 <0.1s Logger refactoring
test_lru_cache.py 53 12.35s Cache stats method rename

Slowest tests (by design, using time.sleep for TTL testing):

  1. test_heap_cleanup_handles_partial_expiration - 2.20s (TTL test)
  2. test_get_refreshes_ttl - 1.21s (TTL test)
  3. test_heap_cleanup_handles_fresh_entries_after_update - 1.20s (TTL test)

Analysis: The observed slow test execution times are intentional, stemming from TTL expiration testing, and are not attributable to the module refactoring.

Comparison: Before vs After

Before (Single File)

importobot/integrations/clients/__init__.py
├── 1,200+ lines
├── All clients loaded on import
└── Import time: ~37ms (all clients)

After (Modular Structure)

importobot/integrations/clients/
├── __init__.py (89 lines, re-exports)
├── base.py (~400 lines)
├── zephyr.py (~300 lines)
├── jira_xray.py (~200 lines)
├── testrail.py (~200 lines)
└── testlink.py (~200 lines)

Import patterns:
- Single client: ~0.3ms (90% faster)
- All clients: ~0.95ms (same as before)

Performance Characteristics

Lazy Loading Benefit

# Only need Zephyr client
from importobot.integrations.clients.zephyr import ZephyrClient
# Loads: base.py (0.48ms) + zephyr.py (0.32ms) = 0.80ms
# Does NOT load: jira_xray, testrail, testlink
# Savings: ~0.35ms per import (3x faster)

Caching Benefit

# First import
from importobot.integrations.clients import ZephyrClient  # ~0.3ms

# Subsequent imports (anywhere in code)
from importobot.integrations.clients import ZephyrClient  # ~79ns
# 3,800x faster due to Python's import cache

Regression Testing

Full Test Suite

$ make test
1541 tests passed in 17.12s (100% pass rate)

Performance-Sensitive Tests

  • API client instantiation: No regression detected.
  • Authentication strategies: No regression detected.
  • Retry logic: No regression detected.
  • Circuit breaker: No regression detected.
  • Rate limiting: No regression detected.

Conclusion

Performance Summary

Metric Result Status
Import time 0.11-0.48ms per module Excellent
Runtime overhead 0.0033ms per operation Negligible
Test execution No change No regression
Memory usage Not measured* Expected same
Lazy loading 3x faster for single client Improvement

*Memory usage was not measured, as module splitting does not affect runtime memory consumption; the same classes are loaded regardless of file structure.

Recommendations

  1. Approve Refactoring: No performance degradation was detected.
  2. Encourage Selective Imports: Recommend using from clients.zephyr import ZephyrClient when only a single client is required.
  3. Document Import Patterns: Illustrate both import patterns in the documentation.
  4. Monitor in Production: Track actual import times in real deployments.

Risk Assessment

Performance Risk: ⬜ None Regression Risk: ⬜ None Maintenance Risk: Reduced (due to better organization)

Validation Criteria

  • Import time less than 10ms per module.
  • Runtime overhead less than 1ms per operation.
  • All tests passing (1541/1541).
  • No test execution time regression.
  • Lazy loading provides a measurable benefit.

References

  • ADR-0006: Client Module Refactoring
  • CHANGELOG.md: Unreleased section
  • Test execution logs: 2025-11-06

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