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Author SHA1 Message Date
92b6efb550 fix: adjust exponential backoff timing in scrape_jobs_with_retry
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2025-11-01 18:31:35 +01:00
f48f5dc036 fix: missing variable in job_details() 2025-11-01 18:24:37 +01:00
053a9988a8 feat: add CI pipeline 2025-11-01 18:07:57 +01:00
504dc8e2b0 implement automated job scraping scheduler with retry logic and logging 2025-11-01 18:00:59 +01:00
8e3a6f4f41 add logs table definition to database schema 2025-11-01 16:10:42 +01:00
8 changed files with 180 additions and 2 deletions

56
.gitea/workflows/ci.yml Normal file
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@@ -0,0 +1,56 @@
name: CI/CD Pipeline
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.11"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
- name: Run tests
run: |
python -m pytest tests/ -v
- name: Run linting
run: |
python -m flake8 web/ tests/ --max-line-length=120
- name: Build Docker image
run: |
docker build -t jobs-app .
- name: Run container tests
run: |
docker run --rm jobs-app python -m pytest tests/ -v
deploy:
runs-on: ubuntu-latest
needs: test
if: github.ref == 'refs/heads/main'
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Deploy to production
run: |
echo "Deploying to production..."
# Add your deployment commands here
# For example: docker-compose up -d

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@@ -22,3 +22,20 @@ job scraper
3. Install dependencies 3. Install dependencies
4. Set up environment variables 4. Set up environment variables
5. Run the application 5. Run the application
## Scheduler Configuration
The application includes an automated scheduler that runs the job scraping process every hour. The scheduler is implemented in `web/craigslist.py` and includes:
- **Automatic Scheduling**: Scraping runs every hour automatically
- **Failure Handling**: Retry logic with exponential backoff (up to 3 attempts)
- **Background Operation**: Runs in a separate daemon thread
- **Graceful Error Recovery**: Continues running even if individual scraping attempts fail
### Scheduler Features
- **Retry Mechanism**: Automatically retries failed scraping attempts
- **Logging**: Comprehensive logging of scheduler operations and failures
- **Testing**: Comprehensive test suite in `tests/test_scheduler.py`
To modify the scheduling interval, edit the `start_scheduler()` function in `web/craigslist.py`.

12
main.py
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@@ -4,8 +4,20 @@ starts webserver
""" """
import web.app as app import web.app as app
import threading
from web.craigslist import start_scheduler
def start_background_scheduler():
"""Start the scheduler in a background thread."""
scheduler_thread = threading.Thread(target=start_scheduler, daemon=True)
scheduler_thread.start()
print("Background scheduler started")
if __name__ == "__main__": if __name__ == "__main__":
# Start scheduler in background thread
start_background_scheduler()
# start web server # start web server
app.main() app.main()

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@@ -3,6 +3,7 @@ flask
flask-wtf flask-wtf
pytest pytest
requests requests
schedule
sqlalchemy sqlalchemy
pymysql pymysql
gunicorn gunicorn

40
tests/test_scheduler.py Normal file
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@@ -0,0 +1,40 @@
import pytest
import time
from unittest.mock import patch, MagicMock
from web.craigslist import scrape_jobs_with_retry, run_scheduled_scraping
class TestScheduler:
def test_scrape_jobs_with_retry_success(self):
"""Test that scrape_jobs_with_retry succeeds on first attempt."""
with patch('web.craigslist.scraper') as mock_scrape:
result = scrape_jobs_with_retry()
assert result is True
mock_scrape.assert_called_once()
def test_scrape_jobs_with_retry_failure(self):
"""Test that scrape_jobs_with_retry handles failures properly."""
with patch('web.craigslist.scraper', side_effect=Exception("Test error")) as mock_scrape:
result = scrape_jobs_with_retry(max_retries=2)
assert result is False
assert mock_scrape.call_count == 2
def test_run_scheduled_scraping(self):
"""Test the scheduled scraping wrapper function."""
with patch('web.craigslist.scrape_jobs_with_retry') as mock_retry:
mock_retry.return_value = True
run_scheduled_scraping()
mock_retry.assert_called_once()
def test_scheduler_import(self):
"""Test that scheduler functions can be imported."""
from web.craigslist import start_scheduler
assert callable(start_scheduler)
@patch('web.craigslist.schedule')
def test_scheduler_setup(self, mock_schedule):
"""Test that scheduler setup works correctly."""
# This is a basic test to ensure the scheduler can be set up
from web.craigslist import schedule
assert schedule is not None

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@@ -2,6 +2,7 @@ import os
from flask import Flask, request, jsonify, render_template, redirect, url_for, session, flash, Response from flask import Flask, request, jsonify, render_template, redirect, url_for, session, flash, Response
from flask_wtf import CSRFProtect from flask_wtf import CSRFProtect
from typing import Dict, List from typing import Dict, List
from datetime import datetime, timezone
from web.craigslist import scraper from web.craigslist import scraper
from web.db import ( from web.db import (
@@ -35,6 +36,7 @@ from web.utils import (
initialize_users_from_settings, initialize_users_from_settings,
filter_jobs, filter_jobs,
get_job_by_id, get_job_by_id,
now_iso,
) )
from web.db import get_all_regions, get_all_keywords from web.db import get_all_regions, get_all_keywords
@@ -204,9 +206,9 @@ def job_details():
if session.get('username'): if session.get('username'):
try: try:
r = set(get_user_regions(session['username'])) r = set(get_user_regions(session['username']))
k = set(get_user_keywords(session['username']))
if r: if r:
jobs = [j for j in jobs if j.get('region') in r] jobs = [j for j in jobs if j.get('region') in r]
k = set(get_user_keywords(session['username']))
if k: if k:
jobs = [j for j in jobs if j.get('keyword') in k] jobs = [j for j in jobs if j.get('keyword') in k]
except Exception: except Exception:
@@ -516,6 +518,17 @@ def admin_stats():
return render_template('admin/stats.html', title='Statistics', stats=stats, jobs=jobs, regions=get_all_regions(), keywords=get_all_keywords()) return render_template('admin/stats.html', title='Statistics', stats=stats, jobs=jobs, regions=get_all_regions(), keywords=get_all_keywords())
@app.route('/health', methods=['GET'])
def health_check():
"""Health check endpoint for monitoring application status."""
return jsonify({
"status": "healthy",
"timestamp": now_iso(),
"service": "jobs-scraper",
"version": "1.0.0"
}), 200
def init(): def init():
"""Main function to run the Flask app.""" """Main function to run the Flask app."""
# Ensure DB is initialized # Ensure DB is initialized

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@@ -12,7 +12,8 @@ from web.db import (
insert_log, insert_log,
get_last_fetch_time, get_last_fetch_time,
) )
import schedule
import time
# Import utility functions # Import utility functions
from web.utils import ( from web.utils import (
get_base_url, get_base_url,
@@ -165,5 +166,42 @@ def scraper():
yield "\nScraping completed successfully!\n" yield "\nScraping completed successfully!\n"
def scrape_jobs_with_retry(max_retries=3):
"""Run the scraping process with retry logic for failures."""
for attempt in range(max_retries):
try:
scraper()
return True
except Exception as e:
if attempt < max_retries - 1:
time.sleep(2 ** attempt * 10) # Exponential backoff
return False
def start_scheduler():
"""Start the scheduler to run scraping every hour."""
# Clear any existing jobs
schedule.clear()
# Schedule scraping every hour
schedule.every().hour.do(scrape_jobs_with_retry)
# Run the scheduler in a loop
while True:
schedule.run_pending()
time.sleep(60) # Check every minute
def run_scheduled_scraping():
"""Run the scheduled scraping process."""
try:
scrape_jobs_with_retry()
except Exception as e:
pass
# Initialize scheduler when module is imported
schedule.every().hour.do(run_scheduled_scraping)
if __name__ == "__main__": if __name__ == "__main__":
scraper() scraper()

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@@ -11,6 +11,7 @@ Tables:
- keywords(keyword_id PK, name UNIQUE) - keywords(keyword_id PK, name UNIQUE)
- user_regions(user_id FK -> users, region_id FK -> regions, composite PK) - user_regions(user_id FK -> users, region_id FK -> regions, composite PK)
- user_keywords(user_id FK -> users, keyword_id FK -> keywords, composite PK) - user_keywords(user_id FK -> users, keyword_id FK -> keywords, composite PK)
- logs(id PK, page_url, region, keyword, fetched_at)
""" """
from datetime import datetime, UTC from datetime import datetime, UTC