Skip to main content

A package for MongoDB CRUD operations using PyMongo

Project description

pymongo_crud_use

MongoDB Function Usage Guide

This guide explains the usage of each function provided in the MongoDB function module.

1. initialize_collection(uri, db_name, collection_name)

Initialize and return the MongoDB collection.

  • Parameters:

    • uri: MongoDB connection URI.
    • db_name: Name of the MongoDB database.
    • collection_name: Name of the MongoDB collection.
  • Returns:

    • MongoDB collection object.

2. initialize_collection_with_certificate(uri, certificate_path, db_name, collection_name)

Initialize and return the MongoDB collection using TLS certificate authentication.

  • Parameters:

    • uri: MongoDB connection URI.
    • certificate_path: Path to the TLS certificate file.
    • db_name: Name of the MongoDB database.
    • collection_name: Name of the MongoDB collection.
  • Returns:

    • MongoDB collection object.

3. set_data(collection, data)

Insert data into the MongoDB collection.

  • Parameters:

    • collection: MongoDB collection object.
    • data: Dictionary containing the data to be inserted.
  • Returns:

    • MongoDB insert result.

4. get_data(collection)

Retrieve data from the MongoDB collection where 'available' is True.

  • Parameters:

    • collection: MongoDB collection object.
  • Returns:

    • List of dictionaries representing retrieved data.

5. get_all_data(collection)

Retrieve all data from the MongoDB collection.

  • Parameters:

    • collection: MongoDB collection object.
  • Returns:

    • List of dictionaries representing all data in the collection.

6. get_data_one(collection, id_data)

Retrieve a single document from the MongoDB collection by its ID.

  • Parameters:

    • collection: MongoDB collection object.
    • id_data: ID of the document to retrieve.
  • Returns:

    • Single document matching the provided ID or None.

7. remove_data_bool(collection, id_data)

Remove data from the MongoDB collection by its ID and set 'available' to False.

  • Parameters:

    • collection: MongoDB collection object.
    • id_data: ID of the document to remove.
  • Returns:

    • MongoDB update result.

8. remove_data(collection, id_data)

Remove data from the MongoDB collection by its ID.

  • Parameters:

    • collection: MongoDB collection object.
    • id_data: ID of the document to remove.
  • Returns:

    • MongoDB delete result.

9. update_data(collection, id_data, data)

Update data in the MongoDB collection by its ID.

  • Parameters:

    • collection: MongoDB collection object.
    • id_data: ID of the document to update.
    • data: Updated data as a dictionary.
  • Returns:

    • MongoDB update result.

10. delete_db(collection)

Delete all data from the MongoDB collection.

  • Parameters:

    • collection: MongoDB collection object.
  • Returns:

    • MongoDB delete result.

11. count_db_bool(collection)

Count documents in the MongoDB collection where 'available' is True.

  • Parameters:

    • collection: MongoDB collection object.
  • Returns:

    • Number of documents where 'available' is True.

12. count_all_db(collection)

Count all documents in the MongoDB collection.

  • Parameters:

    • collection: MongoDB collection object.
  • Returns:

    • Total number of documents in the collection.

13. search_data_by_field(collection, field_name, field_value)

Retrieve data from the MongoDB collection based on a specific field and its value.

  • Parameters:

    • collection: MongoDB collection object.
    • field_name: Name of the field to search.
    • field_value: Value to search for in the specified field.
  • Returns:

    • List of dictionaries representing retrieved data or None.

14. upsert_data(collection, query, data)

Update existing data if found, or insert new data if not found.

  • Parameters:

    • collection: MongoDB collection object.
    • query: Query to identify the document to update.
    • data: Data to be updated or inserted.
  • Returns:

    • MongoDB update result.

15. search_across_fields(collection, search_query)

Search across all fields of the MongoDB collection and return matching documents.

  • Parameters:

    • collection: MongoDB collection object.
    • search_query: Search query string.
  • Returns:

    • List of dictionaries representing retrieved data or None.

16. search_all_fields(collection, search_term)

Search for the given term in all fields of the MongoDB collection.

  • Parameters:

    • collection: MongoDB collection object.
    • search_term: Term to search for in all fields.
  • Returns:

    • List of dictionaries representing retrieved data or None.

17. close_connection(collection)

Close the connection to the MongoDB database.

  • Parameters:
    • collection: MongoDB collection object.

18. uuid_id()

Generate a UUID using the uuid7 strategy.

  • Returns:
    • UUID string.

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

pymongo_crud_use-0.5.1.tar.gz (16.5 kB view details)

Uploaded Source

Built Distribution

pymongo_crud_use-0.5.1-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file pymongo_crud_use-0.5.1.tar.gz.

File metadata

  • Download URL: pymongo_crud_use-0.5.1.tar.gz
  • Upload date:
  • Size: 16.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pymongo_crud_use-0.5.1.tar.gz
Algorithm Hash digest
SHA256 11aade954c6268d51109860ba04b46e3db9800124f6b10ad061daa7a95b9d513
MD5 18fd133a2a94030a9f4905f4a9a9da55
BLAKE2b-256 a0914bc4684a2ff6abc8abe63749a1421a1bd3c593ad34ced4e6543a181e61f8

See more details on using hashes here.

File details

Details for the file pymongo_crud_use-0.5.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pymongo_crud_use-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 adf360c164249b1f2de5cf65b7765ae99611eab14adcb6e33372fa0a64701a2d
MD5 3fe87ecda029850cd4fbbfe436cb9c1b
BLAKE2b-256 43be10a9526ab6f6b2e14d1954d21eb101cbe99f0ddf2c5badb23c0c3579f736

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