two version of R2R are hereHEADmaster

1 files changed, 158 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/apscheduler/jobstores/mongodb.py b/.venv/lib/python3.12/site-packages/apscheduler/jobstores/mongodb.py
new file mode 100644
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+++ b/.venv/lib/python3.12/site-packages/apscheduler/jobstores/mongodb.py
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+import pickle
+import warnings
+
+from apscheduler.job import Job
+from apscheduler.jobstores.base import BaseJobStore, ConflictingIdError, JobLookupError
+from apscheduler.util import (
+    datetime_to_utc_timestamp,
+    maybe_ref,
+    utc_timestamp_to_datetime,
+)
+
+try:
+    from bson.binary import Binary
+    from pymongo import ASCENDING, MongoClient
+    from pymongo.errors import DuplicateKeyError
+except ImportError as exc:  # pragma: nocover
+    raise ImportError("MongoDBJobStore requires PyMongo installed") from exc
+
+
+class MongoDBJobStore(BaseJobStore):
+    """
+    Stores jobs in a MongoDB database. Any leftover keyword arguments are directly passed to
+    pymongo's `MongoClient
+    <http://api.mongodb.org/python/current/api/pymongo/mongo_client.html#pymongo.mongo_client.MongoClient>`_.
+
+    Plugin alias: ``mongodb``
+
+    :param str database: database to store jobs in
+    :param str collection: collection to store jobs in
+    :param client: a :class:`~pymongo.mongo_client.MongoClient` instance to use instead of
+        providing connection arguments
+    :param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
+        highest available
+    """
+
+    def __init__(
+        self,
+        database="apscheduler",
+        collection="jobs",
+        client=None,
+        pickle_protocol=pickle.HIGHEST_PROTOCOL,
+        **connect_args,
+    ):
+        super().__init__()
+        self.pickle_protocol = pickle_protocol
+
+        if not database:
+            raise ValueError('The "database" parameter must not be empty')
+        if not collection:
+            raise ValueError('The "collection" parameter must not be empty')
+
+        if client:
+            self.client = maybe_ref(client)
+        else:
+            connect_args.setdefault("w", 1)
+            self.client = MongoClient(**connect_args)
+
+        self.collection = self.client[database][collection]
+
+    def start(self, scheduler, alias):
+        super().start(scheduler, alias)
+        self.collection.create_index("next_run_time", sparse=True)
+
+    @property
+    def connection(self):
+        warnings.warn(
+            'The "connection" member is deprecated -- use "client" instead',
+            DeprecationWarning,
+        )
+        return self.client
+
+    def lookup_job(self, job_id):
+        document = self.collection.find_one(job_id, ["job_state"])
+        return self._reconstitute_job(document["job_state"]) if document else None
+
+    def get_due_jobs(self, now):
+        timestamp = datetime_to_utc_timestamp(now)
+        return self._get_jobs({"next_run_time": {"$lte": timestamp}})
+
+    def get_next_run_time(self):
+        document = self.collection.find_one(
+            {"next_run_time": {"$ne": None}},
+            projection=["next_run_time"],
+            sort=[("next_run_time", ASCENDING)],
+        )
+        return (
+            utc_timestamp_to_datetime(document["next_run_time"]) if document else None
+        )
+
+    def get_all_jobs(self):
+        jobs = self._get_jobs({})
+        self._fix_paused_jobs_sorting(jobs)
+        return jobs
+
+    def add_job(self, job):
+        try:
+            self.collection.insert_one(
+                {
+                    "_id": job.id,
+                    "next_run_time": datetime_to_utc_timestamp(job.next_run_time),
+                    "job_state": Binary(
+                        pickle.dumps(job.__getstate__(), self.pickle_protocol)
+                    ),
+                }
+            )
+        except DuplicateKeyError:
+            raise ConflictingIdError(job.id)
+
+    def update_job(self, job):
+        changes = {
+            "next_run_time": datetime_to_utc_timestamp(job.next_run_time),
+            "job_state": Binary(pickle.dumps(job.__getstate__(), self.pickle_protocol)),
+        }
+        result = self.collection.update_one({"_id": job.id}, {"$set": changes})
+        if result and result.matched_count == 0:
+            raise JobLookupError(job.id)
+
+    def remove_job(self, job_id):
+        result = self.collection.delete_one({"_id": job_id})
+        if result and result.deleted_count == 0:
+            raise JobLookupError(job_id)
+
+    def remove_all_jobs(self):
+        self.collection.delete_many({})
+
+    def shutdown(self):
+        self.client.close()
+
+    def _reconstitute_job(self, job_state):
+        job_state = pickle.loads(job_state)
+        job = Job.__new__(Job)
+        job.__setstate__(job_state)
+        job._scheduler = self._scheduler
+        job._jobstore_alias = self._alias
+        return job
+
+    def _get_jobs(self, conditions):
+        jobs = []
+        failed_job_ids = []
+        for document in self.collection.find(
+            conditions, ["_id", "job_state"], sort=[("next_run_time", ASCENDING)]
+        ):
+            try:
+                jobs.append(self._reconstitute_job(document["job_state"]))
+            except BaseException:
+                self._logger.exception(
+                    'Unable to restore job "%s" -- removing it', document["_id"]
+                )
+                failed_job_ids.append(document["_id"])
+
+        # Remove all the jobs we failed to restore
+        if failed_job_ids:
+            self.collection.delete_many({"_id": {"$in": failed_job_ids}})
+
+        return jobs
+
+    def __repr__(self):
+        return f"<{self.__class__.__name__} (client={self.client})>"