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			130 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			130 lines
		
	
	
		
			3.6 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| #  Copyright 2021 Collate
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| #  Licensed under the Apache License, Version 2.0 (the "License");
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| #  you may not use this file except in compliance with the License.
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| #  You may obtain a copy of the License at
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| #  http://www.apache.org/licenses/LICENSE-2.0
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| #  Unless required by applicable law or agreed to in writing, software
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| #  distributed under the License is distributed on an "AS IS" BASIS,
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| #  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| #  See the License for the specific language governing permissions and
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| #  limitations under the License.
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| 
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| import importlib
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| import os
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| import re
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| import sys
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| import traceback
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| from multiprocessing import Process
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| from typing import Optional
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| 
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| from airflow import settings
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| from airflow.jobs.scheduler_job import SchedulerJob
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| from airflow.models import DagBag
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| from flask import request
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| from openmetadata_managed_apis.utils.logger import api_logger
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| 
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| logger = api_logger()
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| 
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| 
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| class MissingArgException(Exception):
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|     """
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|     Raised when we cannot properly validate the incoming data
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|     """
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| 
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| 
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| def import_path(path):
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|     module_name = os.path.basename(path).replace("-", "_")
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|     spec = importlib.util.spec_from_loader(
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|         module_name, importlib.machinery.SourceFileLoader(module_name, path)
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|     )
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|     module = importlib.util.module_from_spec(spec)
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|     spec.loader.exec_module(module)
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|     sys.modules[module_name] = module
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|     return module
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| 
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| 
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| def clean_dag_id(raw_dag_id: Optional[str]) -> Optional[str]:
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|     """
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|     Given a string we want to use as a dag_id, we should
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|     give it a cleanup as Airflow does not support anything
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|     that is not alphanumeric for the name
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|     """
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|     return re.sub("[^0-9a-zA-Z-_]+", "_", raw_dag_id) if raw_dag_id else None
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| 
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| 
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| def get_request_arg(req, arg, raise_missing: bool = True) -> Optional[str]:
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|     """
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|     Pick up the `arg` from the flask `req`.
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|     E.g., GET api/v1/endpoint?key=value
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| 
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|     If raise_missing, throw an exception if the argument is
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|     not present in the request
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|     """
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|     request_argument = req.args.get(arg) or req.form.get(arg)
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| 
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|     if not request_argument and raise_missing:
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|         raise MissingArgException(f"Missing {arg} from request {req} argument")
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| 
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|     return request_argument
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| 
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| 
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| def get_arg_dag_id() -> Optional[str]:
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|     """
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|     Try to fetch the dag_id from the args
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|     and clean it
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|     """
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|     raw_dag_id = get_request_arg(request, "dag_id")
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| 
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|     return clean_dag_id(raw_dag_id)
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| 
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| 
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| def get_arg_only_queued() -> Optional[str]:
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|     """
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|     Try to fetch the only_queued from the args
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|     """
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|     return get_request_arg(request, "only_queued", raise_missing=False)
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| 
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| 
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| def get_request_dag_id() -> Optional[str]:
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|     """
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|     Try to fetch the dag_id from the JSON request
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|     and clean it
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|     """
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|     raw_dag_id = request.get_json().get("dag_id")
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| 
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|     if not raw_dag_id:
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|         raise MissingArgException("Missing dag_id from request JSON")
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| 
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|     return clean_dag_id(raw_dag_id)
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| 
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| 
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| def get_dagbag():
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|     """
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|     Load the dagbag from Airflow settings
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|     """
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|     dagbag = DagBag(dag_folder=settings.DAGS_FOLDER, read_dags_from_db=True)
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|     dagbag.collect_dags()
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|     dagbag.collect_dags_from_db()
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|     return dagbag
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| 
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| 
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| class ScanDagsTask(Process):
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|     def run(self):
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|         scheduler_job = SchedulerJob(num_times_parse_dags=1)
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|         scheduler_job.heartrate = 0
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|         scheduler_job.run()
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|         try:
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|             scheduler_job.kill()
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|         except Exception as exc:
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|             logger.debug(traceback.format_exc())
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|             logger.info(f"Rescan Complete: Killed Job: {exc}")
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| 
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| 
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| def scan_dags_job_background():
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|     """
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|     Runs the scheduler scan in another thread
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|     to not block the API call
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|     """
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|     process = ScanDagsTask()
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|     process.start()
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