Source code for airflow.providers.mongo.sensors.mongo

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from __future__ import annotations

from collections.abc import Sequence
from typing import TYPE_CHECKING

from airflow.providers.mongo.hooks.mongo import MongoHook
from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    try:
        from airflow.sdk.definitions.context import Context
    except ImportError:
        # TODO: Remove once provider drops support for Airflow 2
        from airflow.utils.context import Context



[docs]
class MongoSensor(BaseSensorOperator):
    """
    Checks for the existence of a document which matches the given query in MongoDB.

    .. code-block:: python

        mongo_sensor = MongoSensor(
            collection="coll",
            query={"key": "value"},
            mongo_conn_id="mongo_default",
            mongo_db="admin",
            task_id="mongo_sensor",
        )

    :param collection: Target MongoDB collection.
    :param query: The query to find the target document.
    :param mongo_conn_id: The :ref:`Mongo connection id <howto/connection:mongo>` to use
        when connecting to MongoDB.
    :param mongo_db: Target MongoDB name.
    """


[docs]
    template_fields: Sequence[str] = ("collection", "query")


    def __init__(
        self, *, collection: str, query: dict, mongo_conn_id: str = "mongo_default", mongo_db=None, **kwargs
    ) -> None:
        super().__init__(**kwargs)

[docs]
        self.mongo_conn_id = mongo_conn_id


[docs]
        self.collection = collection


[docs]
        self.query = query


[docs]
        self.mongo_db = mongo_db



[docs]
    def poke(self, context: Context) -> bool:
        self.log.info(
            "Sensor check existence of the document that matches the following query: %s", self.query
        )
        hook = MongoHook(mongo_conn_id=self.mongo_conn_id)
        return hook.find(self.collection, self.query, mongo_db=self.mongo_db, find_one=True) is not None