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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})>"
|