Introduction to JobServer
JobServer is a flexible and powerful system designed to handle various job scheduling and processing tasks. It offers dozens of useful APIs to interact seamlessly with its job processing capabilities. Below, we provide an in-depth guide to JobServer along with code snippets showcasing how to use its APIs effectively in your application.
API Examples
Create a Job
POST /jobs { "name": "data_import", "schedule": "0 0 * * *", "command": "/usr/bin/python3 /scripts/import_data.py" }
Retrieve Job Details
GET /jobs/{job_id}
Update a Job
PUT /jobs/{job_id} { "name": "data_import", "schedule": "0 6 * * *", // Change the schedule to 6 AM daily "command": "/usr/bin/python3 /scripts/import_data.py" }
Delete a Job
DELETE /jobs/{job_id}
List All Jobs
GET /jobs
Execute a Job Manually
POST /jobs/{job_id}/execute
Check Job Status
GET /jobs/{job_id}/status
Retrieve Job Logs
GET /jobs/{job_id}/logs
Create a Job Template
POST /templates { "name": "backup_template", "command": "/usr/bin/python3 /scripts/backup.py" }
Use a Job Template
POST /jobs { "name": "backup_nightly", "schedule": "0 0 * * *", "template_id": "{template_id}" }
Integrating JobServer in Your App
In this section, we’ll see an example of how to integrate JobServer’s APIs into a simple application.
A Simple Example Application
import requests BASE_URL = 'http://jobserver.local/api' def create_job(): url = f'{BASE_URL}/jobs' payload = { "name": "daily_cleanup", "schedule": "0 3 * * *", "command": "/usr/bin/python3 /scripts/cleanup.py" } response = requests.post(url, json=payload) return response.json() def get_job(job_id): url = f'{BASE_URL}/jobs/{job_id}' response = requests.get(url) return response.json() def main(): job = create_job() print(f'Created Job: {job}') job_details = get_job(job['id']) print(f'Job Details: {job_details}') if __name__ == '__main__': main()
Conclusion
JobServer provides a robust set of APIs to manage job scheduling and processing. By integrating these APIs into your applications, you can automate and streamline numerous tasks, enhancing productivity and efficiency.
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