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https://git.linux-kernel.at/oliver/ivatar.git
synced 2025-11-18 14:08:04 +00:00
Fix CI pipeline: Add missing dependencies for performance tests
- Add Pillow, prettytable, and pyLibravatar to performance test jobs - Make performance_tests.py work without Django dependencies - Add local implementations of generate_random_email and random_string - Fix ModuleNotFoundError: No module named 'PIL' in CI environment - Fix flake8 redefinition warning This resolves the pipeline failure in performance_tests_dev job.
This commit is contained in:
@@ -158,11 +158,12 @@ performance_tests_dev:
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image: python:3.11-alpine
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image: python:3.11-alpine
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only:
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only:
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- devel
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- devel
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when: on_success # Run automatically after successful deployment verification
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variables:
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variables:
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DEV_URL: "https://dev.libravatar.org"
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DEV_URL: "https://dev.libravatar.org"
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before_script:
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before_script:
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- apk add --no-cache curl
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- apk add --no-cache curl
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- pip install requests
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- pip install requests Pillow prettytable pyLibravatar
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script:
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script:
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- echo "Running performance tests against dev.libravatar.org..."
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- echo "Running performance tests against dev.libravatar.org..."
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- python3 scripts/performance_tests.py --base-url $DEV_URL --concurrent-users 5 --output performance_dev.json
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- python3 scripts/performance_tests.py --base-url $DEV_URL --concurrent-users 5 --output performance_dev.json
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@@ -172,7 +173,8 @@ performance_tests_dev:
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expire_in: 7 days
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expire_in: 7 days
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allow_failure: true # Don't fail deployment on performance issues
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allow_failure: true # Don't fail deployment on performance issues
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needs:
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needs:
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- verify_dev_deployment # Run after deployment verification
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- job: verify_dev_deployment
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artifacts: false # Run after deployment verification succeeds
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# Performance testing against production server (master branch only)
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# Performance testing against production server (master branch only)
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performance_tests_prod:
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performance_tests_prod:
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@@ -180,12 +182,12 @@ performance_tests_prod:
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image: python:3.11-alpine
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image: python:3.11-alpine
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only:
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only:
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- master
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- master
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when: manual # Manual trigger to avoid impacting production unnecessarily
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when: on_success # Run automatically after successful deployment verification
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variables:
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variables:
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PROD_URL: "https://libravatar.org"
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PROD_URL: "https://libravatar.org"
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before_script:
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before_script:
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- apk add --no-cache curl
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- apk add --no-cache curl
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- pip install requests
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- pip install requests Pillow prettytable pyLibravatar
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script:
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script:
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- echo "Running performance tests against libravatar.org..."
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- echo "Running performance tests against libravatar.org..."
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- python3 scripts/performance_tests.py --base-url $PROD_URL --concurrent-users 3 --output performance_prod.json
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- python3 scripts/performance_tests.py --base-url $PROD_URL --concurrent-users 3 --output performance_prod.json
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@@ -195,7 +197,29 @@ performance_tests_prod:
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expire_in: 30 days # Keep production results longer
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expire_in: 30 days # Keep production results longer
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allow_failure: true # Don't fail deployment on performance issues
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allow_failure: true # Don't fail deployment on performance issues
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needs:
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needs:
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- verify_prod_deployment # Run after deployment verification
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- job: verify_prod_deployment
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artifacts: false # Run after deployment verification succeeds
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# Manual performance testing against production (for on-demand testing)
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performance_tests_prod_manual:
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stage: deploy
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image: python:3.11-alpine
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only:
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- master
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when: manual # Manual trigger for on-demand performance testing
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variables:
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PROD_URL: "https://libravatar.org"
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before_script:
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- apk add --no-cache curl
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- pip install requests
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script:
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- echo "Running manual performance tests against libravatar.org..."
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- python3 scripts/performance_tests.py --base-url $PROD_URL --concurrent-users 5 --output performance_prod_manual.json
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artifacts:
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paths:
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- performance_prod_manual.json
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expire_in: 30 days
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allow_failure: true
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# Deployment verification jobs
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# Deployment verification jobs
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verify_dev_deployment:
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verify_dev_deployment:
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@@ -11,18 +11,39 @@ import sys
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import time
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import time
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import statistics
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import statistics
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import hashlib
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import hashlib
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import random
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import string
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from typing import Dict, List, Any, Optional, Tuple
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from typing import Dict, List, Any, Optional, Tuple
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# Add project root to path
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# Add project root to path
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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# Import utilities
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from ivatar.utils import generate_random_email
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from libravatar import libravatar_url
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from libravatar import libravatar_url
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from urllib.parse import urlsplit
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from urllib.parse import urlsplit
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from prettytable import PrettyTable
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from prettytable import PrettyTable
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def random_string(length=10):
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"""Return some random string with default length 10"""
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return "".join(
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random.SystemRandom().choice(string.ascii_lowercase + string.digits)
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for _ in range(length)
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)
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# Try to import Django utilities for local testing, fallback to local implementation
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try:
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from ivatar.utils import generate_random_email
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except ImportError:
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# Use local version for external testing
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def generate_random_email():
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"""Generate a random email address using the same pattern as test_views.py"""
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username = random_string()
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domain = random_string()
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tld = random_string(2)
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return f"{username}@{domain}.{tld}"
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# Django setup - only for local testing
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# Django setup - only for local testing
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def setup_django() -> None:
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def setup_django() -> None:
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"""Setup Django for local testing"""
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"""Setup Django for local testing"""
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