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120
airflow/TestDags/IDMC_Airflow_Test.py
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120
airflow/TestDags/IDMC_Airflow_Test.py
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import json
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import sys
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import time
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import re
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import requests
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from datetime import datetime, timedelta
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from airflow import DAG
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from airflow.models import Variable
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from airflow.operators.python_operator import PythonOperator
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# from infromatic team, : connect to infromatica (akash)
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# Utility to make task_id Airflow-safe
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def sanitize_task_id(task_id: str) -> str:
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sanitized = re.sub(r'[^a-zA-Z0-9_]+', '_', task_id)
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if not re.match(r'^[a-zA-Z0-9]', sanitized):
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sanitized = 'task_' + sanitized
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return sanitized
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# Fetch parameters from Airflow Variables
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iics_username = Variable.get("iics_username")
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iics_password = Variable.get("iics_password")
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task_type = Variable.get("task_type", default_var="MTT")
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base_url = Variable.get("iics_base_url", default_var="")
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# Task name
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CDI_task_name = "CDI_task"
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# Default DAG args
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default_args = {
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'owner': 'infa',
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'depends_on_past': False,
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'email': ['airflow@example.com'],
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'email_on_failure': False,
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'email_on_retry': False,
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'retries': 1,
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'retry_delay': timedelta(minutes=1),
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'start_date': datetime.now() - timedelta(seconds=10),
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}
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# API logic (same as before)
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def get_session_id(un, pw):
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data = {'@type': 'login', 'username': un, 'password': pw}
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headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
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r = requests.post(base_url, data=json.dumps(data), headers=headers)
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if r.status_code == 200:
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return r.json()["icSessionId"], r.json()["serverUrl"]
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else:
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print('API call failed:', r.status_code)
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print(r.text)
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sys.exit(1)
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def start_job(session_id, server_url, taskname, taskType):
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job_start_url = server_url + "/api/v2/job"
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headers = {'Content-Type': 'application/json', 'icSessionId': session_id, 'Accept': 'application/json'}
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data = {'@type': 'job', 'taskName': taskname, 'taskType': taskType}
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r = requests.post(job_start_url, data=json.dumps(data), headers=headers)
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if r.status_code == 200:
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response_content = r.json()
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print(f"Job {taskname} started successfully")
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return response_content['taskId'], response_content['runId']
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else:
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print('Job failed to start:', r.status_code)
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print(r.text)
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sys.exit(1)
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def get_status(server_url, session_id, task_id, run_id):
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job_activity_url = server_url + "/api/v2/activity/activityMonitor"
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headers = {'Content-Type': 'application/json', 'icSessionId': session_id, 'Accept': 'application/json'}
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r = requests.get(job_activity_url, headers=headers)
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if r.status_code == 200:
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for obj in r.json():
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if obj['taskId'] == task_id and obj['runId'] == run_id:
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return obj['executionState']
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else:
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print('Failed to get status:', r.status_code)
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print(r.text)
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sys.exit(1)
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def execute_task(task_name):
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session_id, server_url = get_session_id(iics_username, iics_password)
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task_id, run_id = start_job(session_id, server_url, task_name, task_type)
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log_url = f"{server_url}/api/v2/activity/activityLog/"
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headers = {'Content-Type': 'application/json', 'icSessionId': session_id, 'Accept': 'application/json'}
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while True:
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time.sleep(15)
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status = get_status(server_url, session_id, task_id, run_id)
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print(f"Task status: {status}")
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if status not in {"RUNNING", "INITIALIZED", "STOPPING", "QUEUED"}:
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# Fetch logs on completion
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url = f"{log_url}?taskId={task_id}&runId={run_id}"
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r = requests.get(url, headers=headers)
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logs = r.json()
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for obj in logs:
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log_id = obj['id']
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log_detail = requests.get(f"{log_url}{log_id}/sessionLog", headers=headers)
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print(log_detail.text)
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break
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# DAG with no schedule (manual trigger)
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dag = DAG(
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'IDMC_Airflow_Test',
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default_args=default_args,
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description='Simplified DAG with one CDI task',
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schedule_interval=None,
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catchup=False
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)
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safe_task_id = sanitize_task_id(CDI_task_name)
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run_cdi_task = PythonOperator(
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task_id=safe_task_id,
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python_callable=execute_task,
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op_kwargs={'task_name': CDI_task_name},
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dag=dag
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)
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