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from airflow.contrib.hooks.mongo_hook import MongoHook
from airflow.sensors.base_sensor_operator import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
[docs]class MongoSensor(BaseSensorOperator):
"""
Checks for the existence of a document which
matches the given query in MongoDB. Example:
>>> mongo_sensor = MongoSensor(collection="coll",
... query={"key": "value"},
... mongo_conn_id="mongo_default",
... task_id="mongo_sensor")
"""
[docs] template_fields = ('collection', 'query')
@apply_defaults
def __init__(self, collection, query, mongo_conn_id="mongo_default", *args, **kwargs):
"""
Create a new MongoSensor
:param collection: Target MongoDB collection.
:type collection: str
:param query: The query to find the target document.
:type query: dict
:param mongo_conn_id: The connection ID to use
when connecting to MongoDB.
:type mongo_conn_id: str
"""
super(MongoSensor, self).__init__(*args, **kwargs)
self.mongo_conn_id = mongo_conn_id
self.collection = collection
self.query = query
[docs] def poke(self, context):
self.log.info("Sensor check existence of the document "
"that matches the following query: %s", self.query)
hook = MongoHook(self.mongo_conn_id)
return hook.find(self.collection, self.query, find_one=True) is not None