本文整理汇总了Python中pymongo.ReplaceOne方法的典型用法代码示例。如果您正苦于以下问题:Python pymongo.ReplaceOne方法的具体用法?Python pymongo.ReplaceOne怎么用?Python pymongo.ReplaceOne使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pymongo
的用法示例。
在下文中一共展示了pymongo.ReplaceOne方法的6个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: save_projects
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def save_projects(self, projects: List[Project]):
requests = []
for project in projects:
requests.append(ReplaceOne({"name": project.name.name}, self._convert_to_raw(project), upsert=True))
self._client.projects.bulk_write(requests)
示例2: replace_records
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def replace_records(self, mongo, docs):
operations = []
for doc in docs:
mongo_replacement_filter = dict()
if isinstance(self.mongo_replacement_filter, str):
mongo_replacement_filter = {self.mongo_replacement_filter: doc.get(self.mongo_replacement_filter, False)}
elif isinstance(self.mongo_replacement_filter, dict):
for k, v in self.mongo_replacement_filter.items():
if k == v:
mongo_replacement_filter[k] = doc.get(k, False)
else:
mongo_replacement_filter[k] = self.mongo_replacement_filter.get(k, False)
operations.append(ReplaceOne(mongo_replacement_filter,
doc,
upsert=True))
# Send once every 1000 in batch
if (len(operations) == 1000):
logging.info('Making Request....')
mongo.bulk_write(self.mongo_collection,
operations,
mongo_db=self.mongo_db,
ordered=False)
operations = []
logging.info('Request successfully finished....')
if (len(operations) > 0):
logging.info('Making Final Request....')
mongo.bulk_write(self.mongo_collection,
operations,
mongo_db=self.mongo_db,
ordered=False)
logging.info('Final Request Finished.')
示例3: update_players
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def update_players():
"""Updates all players in the database."""
logger.info("Updating FPL players in database.")
async with aiohttp.ClientSession() as session:
fpl = FPL(session)
players = await fpl.get_players(include_summary=True, return_json=True)
for player in players:
player["team"] = team_converter(player["team"])
requests = [ReplaceOne({"id": player["id"]}, player, upsert=True)
for player in players]
database.players.bulk_write(requests)
create_text_indexes()
logger.info("Adding Understat data to players in database.")
understat_players = await get_understat_players()
for player in understat_players:
# Only update FPL player with desired attributes
understat_attributes = {
attribute: value for attribute, value in player.items()
if attribute in desired_attributes
}
# Use player's full name and team to try and find the correct player
search_string = f"{player['player_name']} {player['team_title']}"
players = database.players.find(
{"$text": {"$search": search_string}},
{"score": {"$meta": "textScore"}}
).sort([("score", {"$meta": "textScore"})])
try:
relevant_player = list(players)[0]
except IndexError:
continue
database.players.update_one(
{"id": relevant_player["id"]},
{"$set": understat_attributes}
)
示例4: update_results
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def update_results():
async with aiohttp.ClientSession() as session:
understat = Understat(session)
results = await understat.get_league_results("EPL", 2019)
for result in results:
result["h"]["title"] = understat_team_converter(result["h"]["title"])
result["a"]["title"] = understat_team_converter(result["a"]["title"])
requests = [ReplaceOne({"id": result["id"]}, result, upsert=True)
for result in results]
database.results.bulk_write(requests)
示例5: export_pymongo
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def export_pymongo(docs, index, mirrors=None, update=False, num_tries=3, timeout=60, chunksize=100):
"""Optimized :py:func:`~.export` function for pymongo index collections.
The behavior of this function is rougly equivalent to:
.. code-block:: python
for doc in docs:
export_one(doc, index, mirrors, num_tries)
.. note::
All index documents must be JSON-serializable to
be able to be exported to a MongoDB collection.
:param docs: The index documents to export.
:param index: The database collection to export the index to.
:type index: :class:`pymongo.collection.Collection`
:param num_tries: The number of automatic retry attempts in case of
mirror connection errors.
:type num_tries: int
:param timeout: The time in seconds to wait before an
automatic retry attempt.
:type timeout: int
:param chunksize: The buffer size for export operations.
:type chunksize: int"""
import pymongo
logger.info("Exporting to pymongo database collection index '{}'.".format(index))
chunk = []
operations = []
ids = defaultdict(list)
for doc in docs:
f = {'_id': doc['_id']}
if update:
root = doc.get('root')
if root is not None:
ids[root].append(doc['_id'])
chunk.append(doc)
operations.append(pymongo.ReplaceOne(f, doc, upsert=True))
if len(chunk) >= chunksize:
logger.debug("Pushing chunk.")
_export_pymongo(chunk, operations, index, mirrors, num_tries, timeout)
chunk[:] = []
operations[:] = []
if len(operations):
logger.debug("Pushing final chunk.")
_export_pymongo(chunk, operations, index, mirrors, num_tries, timeout)
if update:
if ids:
stale = set()
for root in ids:
docs_ = index.find({'root': root})
all_ = {doc['_id'] for doc in docs_}
stale.update(all_.difference(ids[root]))
logger.info("Removing {} stale documents.".format(len(stale)))
for _id in set(stale):
index.delete_one(dict(_id=_id))
else:
raise errors.ExportError(
"The exported docs sequence is empty! Unable to update!")
示例6: replace_many
# 需要导入模块: import pymongo [as 别名]
# 或者: from pymongo import ReplaceOne [as 别名]
def replace_many(self, mongo_collection, docs,
filter_docs=None, mongo_db=None, upsert=False, collation=None,
**kwargs):
"""
Replaces many documents in a mongo collection.
Uses bulk_write with multiple ReplaceOne operations
https://api.mongodb.com/python/current/api/pymongo/collection.html#pymongo.collection.Collection.bulk_write
.. note::
If no ``filter_docs``are given, it is assumed that all
replacement documents contain the ``_id`` field which are then
used as filters.
:param mongo_collection: The name of the collection to update.
:type mongo_collection: str
:param docs: The new documents.
:type docs: list[dict]
:param filter_docs: A list of queries that match the documents to replace.
Can be omitted; then the _id fields from docs will be used.
:type filter_docs: list[dict]
:param mongo_db: The name of the database to use.
Can be omitted; then the database from the connection string is used.
:type mongo_db: str
:param upsert: If ``True``, perform an insert if no documents
match the filters for the replace operation.
:type upsert: bool
:param collation: An instance of
:class:`~pymongo.collation.Collation`. This option is only
supported on MongoDB 3.4 and above.
:type collation: pymongo.collation.Collation
"""
collection = self.get_collection(mongo_collection, mongo_db=mongo_db)
if not filter_docs:
filter_docs = [{'_id': doc['_id']} for doc in docs]
requests = [
ReplaceOne(
filter_docs[i],
docs[i],
upsert=upsert,
collation=collation)
for i in range(len(docs))
]
return collection.bulk_write(requests, **kwargs)