Skip to main content

Python MongoDB aggregation ORM

Project description

mongo_aggregation

Python MongoDB Aggregation ORM class.

Installation

pip install mongo_aggregation

Usage examples

import pymongo
from datetime import datetime
from dateutil.relativedelta import relativedelta
from mongo_aggregation import MongoAggregation

# Usual pymongo connection
client = pymongo.MongoClient('mongodb://localhost:27017/test')
db = client.get_database()
today = datetime.now()
yesterday = today - relativedelta(days=1)

# Compose the pipeline
pipeline = MongoAggregation(collection=db.action)
pipeline.match(
    {'date': {'$gte': yesterday, '$lt': today}},
    completed=True,
    _cls={'$in': [
        'Action.Order', 'Action.StorageIncome', 'Action.StorageCancellation', 'Action.StorageMovementOutcome'
    ]},
).smart_project(
    'transactions.amount,_cls', '_id'
).append([
    {'$project': {
        '_cls': 1,
        'date': 1,
        'transactions.amount': 1,
        'transactions.cashbox': 1,
    }},
]).project(
    {'transactions.amount': 1, 'transactions.cashbox': 1}, _cls=1, date=1
).project(
    transactions=1, _cls=1, date=1
)
# Run it
cursor = pipeline.aggregate()

# Iterate over result
for doc in cursor:
    print(doc)
    break

Methods description

pipeline.replace_root('doctor')
# {'$replaceRoot': {'newRoot': '$doctor'}}

Response as list

By default aggregate returns cursor. If you want it to return a list of documents use as_list argument:

data = pipeline.aggregate(as_list=True)

Patterns module

Provides operators and some other patterns in python functions way.

Imports:

from mongo_aggregation.patterns import regex
and_({'a': True}, b=True, c=True)
# {'$and': [{'a': True}, {'b': True}, {'c': True}]}
or_({'a': True}, b=True, c=True)
# {'$or': [{'a': True}, {'b': True}, {'c': True}]}
regex('name', i=True)
# {'$regex': 'name', '$options': 'i'}

Aggregation patterns module

Provides aggregation operators and some other patterns in python functions way.

Imports:

from mongo_aggregation.aggr_patterns import merge_objects
merge_objects('$doctor', first_name='John', last_name='Doe')
# {'$mergeObjects': ['$doctor', {'first_name': 'John', 'last_name': 'Doe'}]}

Changelog

1.0.3 (2020-09-01)

  • .sort now supports -email sorting format (direction and field name by string).
  • Added .replace_root method.
  • Added or_ and and_ logical operators. _and is deprecated now.
  • Added regex operator pattern.
  • Added merge_objects aggregation operator (./aggr_patterns).

1.0.2 (2020-09-01)

  • Added $addFields and $set stages.
  • Added $filter operator.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mongo-aggregation-1.0.3.tar.gz (13.6 kB view details)

Uploaded Source

File details

Details for the file mongo-aggregation-1.0.3.tar.gz.

File metadata

  • Download URL: mongo-aggregation-1.0.3.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.0

File hashes

Hashes for mongo-aggregation-1.0.3.tar.gz
Algorithm Hash digest
SHA256 3d249e660cdfd6d89112839896aa6ca339c48d92631d644a798d2ed40013e981
MD5 0bb02807324339ed013f194517375350
BLAKE2b-256 b1e23fe89154f76138604e588e2a20712b22dada3f7b9bfeae1a83c9fe35d973

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page