Skip to main content

A modern, lightweight Python wrapper and high-level manager for Firebase Auth and Google Cloud Firestore.

Project description

pyrestore

PyPI Version Python Versions License: MIT

A simple, modern, and lightweight Python wrapper for Firebase Auth, Google Cloud Firestore, and Firebase Cloud Storage.

Powered by httpx and Pyrebase4, pyrestore provides a familiar Pyrebase-style fluent path interface (.child().child()) alongside a high-level FirebaseManager client designed for rapid, zero-boilerplate application development.


Features

  • High-Level Manager (FirebaseManager): A unified client wrapping Auth, Firestore, and Storage with structured response dictionaries.
  • Fluent Path Chaining (pyrestore / Storage): Pyrebase-like path building for low-level database and file manipulation.
  • Async & Sync Support: Built-in synchronous methods alongside asynchronous (httpx.AsyncClient) methods for non-blocking UI frameworks (like Flet or FastAPI).
  • Automatic Serialization: Seamlessly handles native Python data types (datetime, int, bool, bytes, list, dict).
  • Resilient Batch Operations: Multi-collection atomic writes with built-in retry logic and exponential backoff.
  • Atomic Field Transforms: Server-side increments and server timestamps with FieldValue.

Installation

pip install pyrestore

Note: pyrestore requires Python 3.8+ and will not work with Python 2.


Getting Started

Initialize FirebaseManager for unified access, or use core pyrestore for direct database/storage access.

High-Level Setup (FirebaseManager):

from pyrestore import FirebaseManager

config = {
    "apiKey": "YOUR_API_KEY",
    "authDomain": "YOUR_PROJECT.firebaseapp.com",
    "projectId": "YOUR_PROJECT_ID",
    "storageBucket": "YOUR_PROJECT.appspot.com"
}

fb = FirebaseManager(config)

Low-Level Setup (pyrestore / Storage):

from pyrestore import pyrestore, Storage

db = pyrestore("YOUR_PROJECT_ID")
storage = Storage(project_id="YOUR_PROJECT_ID", storage_bucket="YOUR_PROJECT.appspot.com")

Authentication

Log In & Sign Up

FirebaseManager automatically updates and synchronizes user tokens with Firestore and Storage under the hood upon login or signup.

# --- LOGIN ---

# Returns a dictionary with a status key, message key, etc
fb.login("user@example.com", "Password123!")

# --- SIGN UP ---

# Validates extra required fields locally before executing network calls
signup_result = fb.signup(
    email="jane.doe@example.com",
    password="Password123!",
    required_fields=["fname", "lname"],
    fname="Jane",
    lname="Doe"
)

if signup_result["status"] == "success":
    print("Account created:", signup_result["user_id"])

Asynchronous Authentication (Flet / Asyncio)

Execute login or signup inside an asyncio loop without blocking your UI thread:

import asyncio

loop = asyncio.get_running_loop()

# Execute login off-thread:
result = await loop.run_in_executor(
    None, 
    fb.login, 
    "user@example.com", 
    "Password123!"
)

if result.get("status") == "success":
    print("User authenticated successfully!")

Token Expiry & Refreshing

FirebaseManager automatically manages token sessions, but you can also manually trigger refreshes:

High-level token sync:

fb.refresh_session(refresh_token)

Low-level manual token sync:

db.auth(user_id_token)
storage.auth(user_id_token)

Database (Firestore)

Build paths to your documents using standard .child() chaining.

db.child("users").child("user_123")

Save Data

push (Auto-Generated ID)

High-Level:

fb.push_document("products", {"name": "Wireless Mouse", "price": 29.99})

Low-Level:

data = {"name": "Wireless Mouse", "price": 29.99}
db.child("products").push(data)

set (Create or Overwrite)

High-Level (Defaults target doc_id to current user_id if omitted):

fb.set_document("users", {"name": "Jane Doe", "role": "admin"})

Low-Level:

data = {"name": "Jane Doe", "role": "admin"}
db.child("users").child("user_123").set(data)

update (Modify Specific Fields)

High-Level:

fb.update_document("users", {"age": 30})

Low-Level:

db.child("users").child("user_123").update({"age": 30})

delete (Remove Document)

High-Level:

fb.delete_document("users", "user_123")

Low-Level:

db.child("users").child("user_123").delete()

Multi-Location Batch Updates

Perform atomic writes across single or multiple collections in a single transaction.

Single Path Batch

fb.batch_update("users", role="admin", age=31)

Multi-Collection Uniform Batch

fb.batch_multi_update(
    "set",
    users={"user_123": {"name": "Alex"}},
    organizations={"org_101": {"name": "Tech Corp"}}
)

Multi-Collection Mixed-Action Batch

fb.batch_multi_update(
    users={
        "user_123": {"_action": "set", "data": {"name": "Sam", "role": "member"}}
    },
    orders={
        "order_456": {"status": "shipped"}  # Defaults to "update"
    },
    tokens={
        "token_789": {"_action": "delete"} # Deletes document
    }
)

Retrieve Data

High-Level (defaults to current user_id):

user_data = fb.get_document("users")

Low-Level:

user = db.child("users").child("user_123").get()
all_users = db.child("users").get()

Complex Queries

Chain query parameters together on core pyrestore references:

results = (
    db.child("products")
      .where("rating", ">=", 4)
      .order_by("rating", "DESC")
      .limit(5)
      .get()
)
  • where: Supports operators (==, !=, <, <=, >, >=, array-contains, in, array-contains-any).
  • order_by: Sort fields in "ASC" or "DESC" order.
  • limit: Restrict the number of returned records.

Storage (Cloud Storage)

pyrestore provides clean file upload, download, and URL retrieval support with zero boilerplate.

1. High-Level Storage Usage (FirebaseManager)

If no filename is provided, upload_file automatically names the file after the logged-in user_id plus the local file extension ({user_id}.png).

Synchronous File Operations

# Upload Avatar (Saves as 'avatars/{user_id}.png')
res = fb.upload_file("avatars", "my_photo.png")
if res["status"] == "success":
    # Instantly store download URL in Firestore!
    fb.update_document("users", {"avatar_url": res["url"]})

# Upload with custom filename
fb.upload_file("receipts", "local_file.pdf", filename="receipt_9921.pdf")

# Get Public File URL
url = fb.get_file_url("receipts", filename="receipt_9921.pdf")

# Download File
fb.download_file("receipts", "downloads/receipt.pdf", filename="receipt_9921.pdf")

# Delete File
fb.delete_file("receipts", filename="receipt_9921.pdf")

Asynchronous File Operations (Flet / Asyncio)

Non-blocking operations that prevent UI freezing during file transfers:

# Async Upload
res = await fb.upload_file_async("avatars", "my_photo.png")

# Async Download
await fb.download_file_async("receipts", "downloads/receipt.pdf", filename="receipt_9921.pdf")

2. Low-Level Storage Usage (Storage)

Access storage directly using Pyrebase-style chainable paths.

Synchronous Storage

# Upload
fb.storage.child("avatars").child("user_123.png").put("path/to/local.png")

# Get Download URL
url = fb.storage.child("avatars").child("user_123.png").get_url()

# Download
fb.storage.child("avatars").child("user_123.png").download("saved.png")

# Delete
fb.storage.child("avatars").child("user_123.png").delete()

Asynchronous Storage

# Async Upload
await fb.storage.child("avatars").child("user_123.png").put_async("path/to/local.png")

# Async Get Download URL
url = await fb.storage.child("avatars").child("user_123.png").get_url_async()

# Async Download
await fb.storage.child("avatars").child("user_123.png").download_async("saved.png")

# Async Delete
await fb.storage.child("avatars").child("user_123.png").delete_async()

Helper Methods & Transforms

FieldValue (Atomic Operations)

Execute atomic server-side updates on Firestore documents:

from pyrestore import FieldValue

db.child("products").child("product_123").update({
    "view_count": FieldValue.increment(1),
    "updatedAt": FieldValue.server_timestamp()
})

RuleBuilder Tool

Easily write and export firebase rules

RuleBuilder Setup:

from pyrestore import RuleBuilder

Writing Firestore Rules

fs_rules = RuleBuilder("firestore")

# Users can only read/write their own profile
fs_rules.allow_owner_only("users/{userId}")

# Public products catalog, but only logged-in users can add products
fs_rules.allow_public("products/{productId}", read=True, write=False)

# Export to firestore.rules
fs_rules.export()

Writing Storage Rules

storage_rules = RuleBuilder("storage")

# User avatars can only be modified by the profile owner
storage_rules.allow_owner_only("avatars/{userId}.png")

# Export to storage.rules
storage_rules.export()

Writing Helper Functions

# Add a custom helper function to check admin status
builder.add_function(
    name="isAdmin",
    params=[],
    expression="request.auth != null && request.auth.token.admin == true"
)
  • See RULEBUILDER_CHEATSHEET.md for more examples

License

This project is licensed under the MIT License.

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

pyrestore-1.0.4.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

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

pyrestore-1.0.4-py3-none-any.whl (13.0 kB view details)

Uploaded Python 3

File details

Details for the file pyrestore-1.0.4.tar.gz.

File metadata

  • Download URL: pyrestore-1.0.4.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for pyrestore-1.0.4.tar.gz
Algorithm Hash digest
SHA256 4221d863a48b513912d456bb8cf58d004f61afd1e3bd851bfc885aab5bc02217
MD5 700d162b5632af4f2b9a06195fd52d1d
BLAKE2b-256 14391969e5f1fea24b4cd79e5e604b4774be30112c937bb2fb4584ba4aa55efc

See more details on using hashes here.

File details

Details for the file pyrestore-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: pyrestore-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for pyrestore-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 cda7327821b6d12ea4d3b3640d83d7fff895d44ca3d22c3bcf54d87ba8153434
MD5 9b873c94411a79bcb8d4ad05667187b7
BLAKE2b-256 08b16133e3d3b665922dc01ef472892001d8da99f9377092d0a1e0d2b42ebbcf

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