Skip to main content

Pymongo based python client with data definition layer.

Project description

Mongomancy

Description

Project contains abstraction of pymongo driver for automatic reconnect on master switch in remote MongoDB cluster. It also provides data definition layer.

Core of mongo_driver is the Engine class, handling queries reconnection with notification to registered reconnect hooks. Database creates Collections by their definitions. Database hooks itself to engine reconnect event, so it can switch internal state of database's collections instances.

    classDiagram
        Executor <|-- Engine : implements
        Database o-- Executor
        Database *-- Collection
        Database o-- CollectionDefinition
        Collection o-- Executor
        CollectionDefinition *-- Index
        CollectionDefinition *-- Document
        
        class Executor{
            <<abstract>>
            reconnect()
            register_hook(reconnect_hook_func)
            find_one(collection: pymongo.collection.Collection, ...)
            other_collection_methods(collection: pymongo.collection.Collection, ...)
        }
        
        class Engine{
            +client: MongoClient
            -_retry_command(collection, command, ...)
            dispose()
            reconnect()
            register_hook(reconnect_hook_func)
            find_one(collection: pymongo.collection.Collection, ...)
            other_collection_methods(collection: pymongo.collection.Collection, ...)
        }
    
        class Collection{
            +dialect_entity: pymongo.collection.Collection
            +engine: Executor
            +find_one(...)
            other_collection_methods()
        }
        
        class Document{
            +unique_key: Optional[BsonDict]
            +data: BsonDict
        }
    
        class CollectionDefinition{
            +name: str
            +indices: Sequence[Index]
            +default_docs: Sequence[Document]
        }
    
        class Index{
            +fields: OrderedDictType[str, Union[str, int]]
            +name: Optional[str]
            +unique: Optional[bool]
            field_for_mongo() -> List[Tuple[str, Union[str, int]]]
        }
    
        class Database{
            +engine: Executor
            +topology: List[types.CollectionDefinition]
            -_database: pymongo.database.Database
            -_collections: Dict[str, Collection]
            invalidate_cache_hook(source: Engine) 
            get_collection(name: str) -> Collection
            extend(*new_definitions: types.CollectionDefinition)
            create_all(skip_existing: bool)
            ping() -> bool
        }

Installation

Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.

Usage

import logging
from mongomancy import Engine, Database, CollectionDefinition, Index

engine = Engine("localhost", 27017)
logger = logging.getLogger(__name__)
db = Database(engine=engine, logger=logger)
game = CollectionDefinition(name="game", indices=[Index(fields={"genre": 1})])
player = CollectionDefinition(name="player", indices=[Index(fields={"player_id": 1}, unique=True)])
db.add_collection(game)
db.add_collection(player)
db.create_all()
db["game"].find({"genre": "adventure"})

Build

Clone repo and set up your pypi repo account credentials on build for build environment.

  • Move to package repo:

    cd ~/git/mongomancy
    
  • Install requirements:

    python -m pip install -Ur requirements.txt
    
  • Clean old build fragments:

    rm -rf ./dist ./build ./mongomancy/mongomancy.egg-info
    
  • Build new package:

    python -m build
    
  • Upload new package:

    python -m twine upload dist/* 
    

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

mongomancy-0.1.13.tar.gz (20.1 kB view details)

Uploaded Source

Built Distribution

mongomancy-0.1.13-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file mongomancy-0.1.13.tar.gz.

File metadata

  • Download URL: mongomancy-0.1.13.tar.gz
  • Upload date:
  • Size: 20.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for mongomancy-0.1.13.tar.gz
Algorithm Hash digest
SHA256 7c9317381a12b99ad286886aef50ca985e6937257ee8ef03b549e037d2ddea96
MD5 35a84052000e17b2470e67eb944525fb
BLAKE2b-256 7bc786860f8bd32b1e3e236caf2922ea36db949571a278642c5e500232994667

See more details on using hashes here.

File details

Details for the file mongomancy-0.1.13-py3-none-any.whl.

File metadata

  • Download URL: mongomancy-0.1.13-py3-none-any.whl
  • Upload date:
  • Size: 14.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for mongomancy-0.1.13-py3-none-any.whl
Algorithm Hash digest
SHA256 ebfd00dc548d8d96d673509b610e99978b6a63b337f559aea338219be2532aa4
MD5 9d7a18274f62f9adeb49babefcb53190
BLAKE2b-256 1ad2dec8b8d5d961243d0ee75c0295ab7403f253ac69d40a8c1a80161f8b9215

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