Skip to main content

A Firestore-like wrapper for SQL databases.

Project description

FireWrap

FireWrap is a Python library that provides a Firebase Firestore-like interface for SQLite databases. It allows you to perform CRUD operations on collections and documents, making it easier to work with SQLite in a way that resembles Firebase Firestore.

Features

  • Encode and decode column names for SQLite compatibility.
  • Migrate data from Firebase to SQLite.
  • Perform CRUD operations on collections and documents.
  • Support for JSON data storage and retrieval.

Installation

To install FireWrap, install the module:

pip install FireWrap

Usage

Initialize FireWrap

To use FireWrap, you need to create an instance of the FireWrap class, specifying the database path:

from firewrap import FireWrap

db = FireWrap('path/to/your/database.db')

Working with Collections

You can get a reference to a collection and perform operations like adding documents, retrieving documents, and counting documents.

Add a Document

data = {"name": "John Doe", "age": 30}
doc = db.collection("users").addDoc(data)

Get All Documents

docs = db.collection("users").getDocs()

Get a Document by ID

doc = db.collection("users").doc("document_id").getDoc()

Update a Document

update_data = {"age": 31}
db.collection("users").doc("document_id").updateDoc(update_data)

Delete a Document

db.collection("users").doc("document_id").deleteDoc()

API Endpoints

FireWrap also provides a Flask-based API for interacting with the database over HTTP.

  • GET /collections/: Retrieve all documents in a collection.
  • POST /collections/: Add a new document to a collection.
  • GET /collections//<doc_id>: Retrieve a specific document by ID.
  • POST /collections//<doc_id>: Create a new document with a specific ID.
  • PATCH /collections//<doc_id>: Update a specific document.
  • DELETE /collections//<doc_id>: Delete a specific document.
  • GET /collections//count: Get the total number of documents in a collection.

Migration from Firebase

To migrate data from Firebase to FireWrap, use the migrate_firebase_to_firesql function:

from port import migrate_firebase_to_firesql

migrate_firebase_to_firesql('path/to/firebase/credentials.json', 'firesql.db')

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

Changelog

[0.1.4] - 2025-02-17

Fixed

  • Fixed issue with updateDoc not preserving other fields.
  • Improved JSON encoding/decoding for nested objects.
  • Enhanced performance of database queries.

[0.1.3] - 2025-02-16

Created

  • Initally released on pypi

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

firewrap-0.1.5.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

FireWrap-0.1.5-py3-none-any.whl (7.0 kB view details)

Uploaded Python 3

File details

Details for the file firewrap-0.1.5.tar.gz.

File metadata

  • Download URL: firewrap-0.1.5.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for firewrap-0.1.5.tar.gz
Algorithm Hash digest
SHA256 ba2860846a93153294dbe698cdb6ec3444409a006da5248cf663175dc15a3b8e
MD5 b86aed83f9e7b7fbe251f5ae122a503c
BLAKE2b-256 fe82aa022739670daf5a963341800c42c92f834ec08468bc8928f1a601e3bd9d

See more details on using hashes here.

File details

Details for the file FireWrap-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: FireWrap-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 7.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.0

File hashes

Hashes for FireWrap-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 7e613ea2d272ceba358ea587b7e456683e2ad0278978ce22da3080ce151a09de
MD5 3030b1e4d19bd6aa154e2b6c804cc5d9
BLAKE2b-256 3a38bc38d3440e17c86f537f8e7783b541336ff660136005e74cf9d3e486ca6a

See more details on using hashes here.

Supported by

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