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from airflow.providers.mongo.hooks.mongo import MongoHook
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults


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")

    :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
    """

    template_fields = ("collection", "query")

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

    def poke(self, context: dict) -> bool:
        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