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{
            +mongo_collection: 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"})

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-0.0.5.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

mongomancy-0.0.5-py3-none-any.whl (12.6 kB view details)

Uploaded Python 3

File details

Details for the file mongomancy-0.0.5.tar.gz.

File metadata

  • Download URL: mongomancy-0.0.5.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for mongomancy-0.0.5.tar.gz
Algorithm Hash digest
SHA256 82f4068c4ead7bec4039830461517e066cc67697b7c8e84398e5bb0b882be050
MD5 d1574ad3fc65d08b226d7d8d9c572cbd
BLAKE2b-256 1a53be303c30919b568bfcc0b448cac10e69da196cda9521999e446a11dc60bb

See more details on using hashes here.

File details

Details for the file mongomancy-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: mongomancy-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 12.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for mongomancy-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 47c2717de8e28ba0317f154d28e5f10445ab3ff985134ffcf169b4163028a3ee
MD5 f1ad8ce46a99fe53a9c2e2de272cdd79
BLAKE2b-256 d22a80e32c49392d8a4c52cb2bae8d129e5c2d17f6baa85b184dee1833603c73

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