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scheduled_jobs_tool.py
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190 lines (145 loc) Β· 6.55 KB
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#!/usr/bin/env python3
"""Scheduled Jobs Example - LangChain Tools"""
import time
from scrapegraph_py.logger import sgai_logger
from langchain_scrapegraph.tools import (
CreateScheduledJobTool,
DeleteScheduledJobTool,
GetJobExecutionsTool,
GetScheduledJobsTool,
GetScheduledJobTool,
PauseScheduledJobTool,
ResumeScheduledJobTool,
TriggerScheduledJobTool,
UpdateScheduledJobTool,
)
sgai_logger.set_logging(level="INFO")
def main():
print("π ScrapeGraph AI Scheduled Jobs Example - LangChain Tools")
print("=" * 60)
# Initialize tools
create_job_tool = CreateScheduledJobTool()
get_jobs_tool = GetScheduledJobsTool()
get_job_tool = GetScheduledJobTool()
update_job_tool = UpdateScheduledJobTool()
pause_job_tool = PauseScheduledJobTool()
resume_job_tool = ResumeScheduledJobTool()
trigger_job_tool = TriggerScheduledJobTool()
get_executions_tool = GetJobExecutionsTool()
delete_job_tool = DeleteScheduledJobTool()
try:
print("\nπ
Creating a scheduled SmartScraper job...")
smartscraper_config = {
"website_url": "https://example.com",
"user_prompt": "Extract the main heading and description from the page",
}
job = create_job_tool.invoke(
{
"job_name": "Daily Example Scraping",
"service_type": "smartscraper",
"cron_expression": "0 9 * * *",
"job_config": smartscraper_config,
"is_active": True,
}
)
job_id = job["id"]
print(f"β
Created job: {job['job_name']} (ID: {job_id})")
print(f" Next run: {job.get('next_run_at', 'Not scheduled')}")
print("\nπ
Creating a scheduled SearchScraper job...")
searchscraper_config = {
"user_prompt": "Find the latest news about artificial intelligence",
"num_results": 5,
}
search_job = create_job_tool.invoke(
{
"job_name": "Weekly AI News Search",
"service_type": "searchscraper",
"cron_expression": "0 10 * * 1",
"job_config": searchscraper_config,
"is_active": True,
}
)
search_job_id = search_job["id"]
print(f"β
Created job: {search_job['job_name']} (ID: {search_job_id})")
print("\nπ Listing all scheduled jobs...")
jobs_response = get_jobs_tool.invoke({"page": 1, "page_size": 10})
jobs = jobs_response["jobs"]
print(f"Found {jobs_response['total']} total jobs:")
for job_item in jobs:
status = "π’ Active" if job_item["is_active"] else "π΄ Inactive"
print(f" - {job_item['job_name']} ({job_item['service_type']}) - {status}")
print(f" Schedule: {job_item['cron_expression']}")
if job_item.get("next_run_at"):
print(f" Next run: {job_item['next_run_at']}")
print(f"\nπ Getting details for job {job_id}...")
job_details = get_job_tool.invoke({"job_id": job_id})
print(f"Job Name: {job_details['job_name']}")
print(f"Service Type: {job_details['service_type']}")
print(f"Created: {job_details['created_at']}")
print(f"Active: {job_details['is_active']}")
print("\nπ Updating job schedule...")
updated_job = update_job_tool.invoke(
{
"job_id": job_id,
"cron_expression": "0 8 * * *",
"job_name": "Daily Example Scraping (Updated)",
}
)
print(f"β
Updated job: {updated_job['job_name']}")
print(f" New schedule: {updated_job['cron_expression']}")
print(f"\nβΈοΈ Pausing job {job_id}...")
pause_result = pause_job_tool.invoke({"job_id": job_id})
print(f"β
{pause_result['message']}")
print(f" Job is now: {'Active' if pause_result['is_active'] else 'Paused'}")
print(f"\nβΆοΈ Resuming job {job_id}...")
resume_result = resume_job_tool.invoke({"job_id": job_id})
print(f"β
{resume_result['message']}")
print(f" Job is now: {'Active' if resume_result['is_active'] else 'Paused'}")
if resume_result.get("next_run_at"):
print(f" Next run: {resume_result['next_run_at']}")
print(f"\nπ Manually triggering job {job_id}...")
trigger_result = trigger_job_tool.invoke({"job_id": job_id})
print(f"β
{trigger_result['message']}")
print(f" Execution ID: {trigger_result['execution_id']}")
print(f" Triggered at: {trigger_result['triggered_at']}")
# Wait a moment for the execution to potentially start
time.sleep(2)
print(f"\nπ Getting execution history for job {job_id}...")
executions_response = get_executions_tool.invoke(
{"job_id": job_id, "page": 1, "page_size": 5}
)
executions = executions_response["executions"]
print(f"Found {executions_response['total']} total executions:")
for execution in executions:
status_emoji = {
"completed": "β
",
"failed": "β",
"running": "π",
"pending": "β³",
}.get(execution["status"], "β")
print(f" {status_emoji} {execution['status'].upper()}")
print(f" Started: {execution['started_at']}")
if execution.get("completed_at"):
print(f" Completed: {execution['completed_at']}")
if execution.get("credits_used"):
print(f" Credits used: {execution['credits_used']}")
print("\nπ§ Filtering jobs by service type (smartscraper)...")
filtered_jobs = get_jobs_tool.invoke(
{"service_type": "smartscraper", "is_active": True}
)
print(f"Found {filtered_jobs['total']} active SmartScraper jobs:")
for job_item in filtered_jobs["jobs"]:
print(
f" - {job_item['job_name']} (Schedule: {job_item['cron_expression']})"
)
print("\nποΈ Cleaning up - deleting created jobs...")
delete_result1 = delete_job_tool.invoke({"job_id": job_id})
print(f"β
{delete_result1['message']} (Job 1)")
delete_result2 = delete_job_tool.invoke({"job_id": search_job_id})
print(f"β
{delete_result2['message']} (Job 2)")
print("\nπ Scheduled jobs example completed successfully!")
except Exception as e:
print(f"\nβ Error: {str(e)}")
raise
if __name__ == "__main__":
main()