Firestore Collections
Simple Firestore collection definitions and queries using pydantic schemas and Firestore query API.
A quick and easy way to make use of the NoSQL document database solution Firestore available in Google Cloud Platform (GCP).
Requirements
- Python 3.6+
- GCP project with Firestore enabled
Features
- Schema definition and validation: Define collection schemas using
pydanticand built-in type hinting (typing). - Automatic IDs: Automatic ID generation using 12-byte hexadecimal (
bson.ObjectId). - Simple queries: Query collections using a simple interface.
- Auxiliary timestamps: Automatically added timestamps to objects like
created_atandupdated_at.
Example
Define users collection and perform different queries:
from typing import Optional
from pydantic import EmailStr, SecretStr
from firestore_collections import Collection, Schema
class User(Schema):
__collection_name__ = 'users'
__unique_keys__ = ['email']
email: EmailStr
full_name: str = None
password: Optional[SecretStr]
# Initialize firestore collection
collection = Collection(schema=User)
# Initialize user object
user = User(
email='john@doe.com',
full_name='John')
# Insert
user = collection.insert(user)
# Get object from db
user = collection.get(user.id)
# Update
user.full_name = 'John Doe'
collection.update(user)
# Get by attribute
user = collection.get_by_attribute('email', 'john@doe.com')
# Get all objects
users = collection.get_all()
# Delete object
collection.delete(id=user.id)
GCP credentials
NOTE: The package assumes a valid GCP credentials file is available and its path defined in the environment variable GOOGLE_APPLICATION_CREDENTIALS.
License
This project is licensed under the terms of the MIT license.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file firestore-collections-0.3.7.tar.gz.
File metadata
- Download URL: firestore-collections-0.3.7.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.10.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3b2e346d13353c932a5ffca2f14fd2478d5971c34630bc43f9513b3c297df0bd
|
|
| MD5 |
2d75c03ad17121b9ed1d92384cc03779
|
|
| BLAKE2b-256 |
1e8281f947e11bbad9d0cef15c0e9a1983cf20f8fead53033fbf36173e2bb35a
|
