Firebase Admin Console is a centralized platform for easy viewing and maintenance of Firestore database, the back-end API is a Python Flask app.

Overview

Firebase-admin-console-FlaskAPI

Back-end code. Deployed on Heroku. A more detailed and more structured guide can be found at this Notion Notebook.

Overview

Firebase Admin Console is a centralized platform for easy viewing and maintenance of Firestore database, the application's front-end is built in ReactJS, and the back-end API is a Python Flask app. This application serves as a starting template for developers to customize, build, and even deploy the desired admin console for their DB.

Python Flask App and Firestore DB Set Up

To clone this repo and install all the required packages:

git clone https://github.com/daqichen/Firebase-admin-console-FlaskAPI.git

pip install -r requirements.txt

Assuming that you already have a Firestore NoSQL database up and running, you can built a CRUD (Create, Read, Update, and Delete) API using Flask in Python. To set up your Firestore DB, here is a Medium article to help you get started. The objective is to allow your front-end application to access data, or documents in a NoSQL context, stored in your Firestore database on Firebase. Below is the set up for /app.py.

import os
import requests
from flask import Flask, jsonify, request, make_response
from firebase_admin import credentials, firestore, initialize_app

app = Flask(__name__)

# Initialize Firestore DB
cred = credentials.Certificate('key.json')
default_app = initialize_app(cred)
db = firestore.client()

port = int(os.environ.get('PORT', 8080))
if __name__ == '__main__':
    app.run(threaded=True, host='0.0.0.0', port=port)

All the necessary libraries required are listed in /requirement.txt.

CacheControl==0.12.10
cachetools==4.2.4
certifi==2021.10.8
charset-normalizer==2.0.10
click==8.0.3
dataclasses-json==0.5.6
firebase-admin==5.2.0
Flask==2.0.2
Flask-Cors==3.0.10
google-api-core==2.3.2
google-api-python-client==2.34.0
google-auth==2.3.3
google-auth-httplib2==0.1.0
google-cloud-core==2.2.1
google-cloud-firestore==2.3.4
google-cloud-storage==1.43.0
google-crc32c==1.3.0
google-resumable-media==2.1.0
googleapis-common-protos==1.54.0
grpcio==1.43.0
grpcio-status==1.43.0
gunicorn==20.0.4
...

CRUD Requests

Create, Read, Update, and Delete (CRUD) are the basic four back-end operations you should be able to execute upon the DB. And one of the most basic operations you might want to perform is to READ and view all the documents in your DB (in NoSQL DB, datapoints are referred to as "documents"). This can also act as a sanity check for the configuration in your Flask app to connect with your Firestore DB.

@app.route('/list', methods=['GET'])
def read():
    """
        read() : Fetches documents from Firestore collection as JSON
        todo : Return document that matches query ID
        all_todos : Return all documents    """
    try:
        # details of the request
        dir_id = request.args.get('collection')  

        print('in collection ' + dir_id)
        curr_dir = db.collection(dir_id)
        all_dirs = [doc.to_dict() for doc in curr_dir.stream()]
        return jsonify(all_dirs), 200

Once you run your flask app, you can navigate to the port it is running on and navigate to PORT_URL/list, the documents should be displayed in JSON format. Now that you can access the existing documents, it's time to implement CREATE.

from datamodel.origamimodule import Origami

@app.route('/add', methods=['POST'])
def create():
    try:
        # details of the request
        formData = request.json
        if (formData['collection'] == "Origami"):
            model = Origami(creator=formData['creator_field'], model_name=formData['model_name_field'], 
                            level_of_difficulty=formData['level_of_difficulty_field'],number_of_steps=formData['steps_field'],
                            source_pattern=formData['source_pattern_link_field'],paper_ratio=formData['paper_ratio_field'],
                            video_tutorial=formData['video_tutorial_field'],img=formData['img_field'])
            print(model.to_dict())
        elif (formData['collection'] == "Placeholder for some other collection"):
            #some other custom datamodel
        db.collection(formData['collection']).document().set(model.to_dict())
        return jsonify({"success": True}), 200
    except Exception as e:
        return f"An Error Occured: {e}"

You probably noticed the import statement for a module named "Origami". I have dedicated a page on Notion with more details on utilizing dataclasses in Python and its compatibility with JSON to simplify creating new documents and standardizing the set of fields each document has. Meanwhile, below is the implementation code for /origamimodule.py.

from dataclasses import dataclass
from dataclasses_json import dataclass_json 

@dataclass_json
@dataclass
class Origami:
    model_name:str
    level_of_difficulty:str
    number_of_steps:int
    source_pattern:str
    creator:str
    paper_ratio:str
    video_tutorial:str
    img:str

Next is UPDATE, which is very similar to CREATE. The main distinction is that UPDATE requires you to know the corresponding document ID of which you are attempting to update. In Firestore DB, you can either auto-generate IDs or assign them yourself; here in this template, they are auto-generated.

@app.route('/update', methods=['POST', 'PUT'])
def update():
    """
        update() : Update document in Firestore collection with request body
        Ensure you pass a custom ID as part of json body in post request
        e.g. json={'id': '1', 'title': 'Write a blog post today'}
    """
    try:
        # details of the request
        details = request.json
        collection_dir = details['collection']
        name = details['identifier_name']
        value = details['identifier_value']
        # get doc id
        docs = db.collection(collection_dir).where(name, "==", value).get()
        for doc in docs:
            doc_id = doc.id
            print("doc id: " + doc_id)
            break

        # details of the UPDATE request
        formData = request.json
        if (formData['collection'] == "Origami"):
            model = Origami(creator=formData['creator_field'], model_name=formData['model_name_field'], 
                            level_of_difficulty=formData['level_of_difficulty_field'],number_of_steps=formData['steps_field'],
                            source_pattern=formData['source_pattern_link_field'],paper_ratio=formData['paper_ratio_field'],
                            video_tutorial=formData['video_tutorial_field'],img=formData['img_field'])
            print(model.to_dict())
        
        db.collection(formData['collection']).document(doc_id).update(model.to_dict())
        return jsonify({"success": True}), 200

    except Exception as e:
        return f"An Error Occured: {e}"

Last but not least, is DELETE.

@app.route('/delete', methods=['GET', 'DELETE'])
def delete():
    try:
        # details of the request
        details = request.json
        collection_dir = details['collection']
        name = details['identifier_name']
        value = details['identifier_value']
        print(collection_dir, name, value)
        # check if the document exists
        docs = db.collection(collection_dir).where(name, "==", value).get()
        exists = False
        for doc in docs:
            doc_id = doc.id
            exists = True
            print("this doc exists")
            break
        if exists:
            db.collection(collection_dir).document(doc_id).delete()
            print('deleted successfully for '+value)
            return jsonify({"success": True}), 200
        else:
            print("no doc found")
            return jsonify({"fail": "Document you are trying to delete does not exist"})
    except Exception as e:
        print(e)
        return f"An Error Occured: {e}"

Deployment on Heroku!!

Now that you have a fully functioning back-end API, it is time to make it accessible beyond your local machine! For back-end, I decided to deploy the API endpoint on Heroku. The following shell command creates a /Procfile that is necessary for Heroku deployment. The article linked previously has a detailed walk-thru, from creating a Flask App to deployment.

Procfile">
echo "web: gunicorn app:app" > Procfile

Congrats, that is a wrap on the back-end part! Head on over to the Front-end Repo [link to be added].

Owner
Daqi Chen
Part-time origamist and pop-up card designer, full-time student at UNC-Chapel Hill. Go Heels!
Daqi Chen
FastAPI Admin Dashboard based on FastAPI and Tortoise ORM.

FastAPI ADMIN 中文文档 Introduction FastAPI-Admin is a admin dashboard based on fastapi and tortoise-orm. FastAPI-Admin provide crud feature out-of-the-bo

long2ice 1.6k Jan 02, 2023
Modern responsive template for the Django admin interface with improved functionality. We are proud to announce completely new Jet. Please check out Live Demo

Django JET Modern template for Django admin interface with improved functionality Attention! NEW JET We are proud to announce completely new Jet. Plea

Geex Arts 3.4k Dec 29, 2022
AaPanel - Simple but Powerful web-based Control Panel

Introduction: aaPanel is the International version for BAOTA panel(www.bt.cn) There have millions servers had installed BAOTA panel since 2014 in Chin

bt.cn 1.4k Jan 09, 2023
There is a new admin bot by @sinan-m-116 .

find me on telegram! deploy me on heroku, use below button: If you can't have a config.py file (EG on heroku), it is also possible to use environment

Sinzz-sinan-m 0 Nov 09, 2021
Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap.

Xadmin Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap. Liv

差沙 4.7k Dec 31, 2022
GFPGAN is a blind face restoration algorithm towards real-world face images.

GFPGAN is a blind face restoration algorithm towards real-world face images.

Applied Research Center (ARC), Tencent PCG 25.6k Jan 04, 2023
Extends the Django Admin to include a extensible dashboard and navigation menu

django-admin-tools django-admin-tools is a collection of extensions/tools for the default django administration interface, it includes: a full feature

Django Admin Tools 731 Dec 28, 2022
Awesome Video Datasets

Awesome Video Datasets

Yunhua Zhang 462 Jan 02, 2023
A cool, modern and responsive django admin application based on bootstrap 5

django-baton A cool, modern and responsive django admin application based on bootstrap 5 Documentation: readthedocs Live Demo Now you can try django-b

Otto srl 678 Jan 01, 2023
A new style for Django admin

Djamin Djamin a new and clean styles for Django admin based in Google projects styles. Quick start Install djamin: pip install -e git://github.com/her

Herson Leite 236 Dec 15, 2022
Django app that enables staff to log in as other users using their own credentials.

Impostor Impostor is a Django application which allows staff members to login as a different user by using their own username and password. Login Logg

Andreu Vallbona Plazas 144 Dec 13, 2022
xarray: N-D labeled arrays and datasets

xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!

Python for Data 2.8k Dec 29, 2022
Lazymux is a tool installer that is specially made for termux user which provides a lot of tool mainly used tools in termux and its easy to use

Lazymux is a tool installer that is specially made for termux user which provides a lot of tool mainly used tools in termux and its easy to use, Lazymux install any of the given tools provided by it

DedSecTL 1.8k Jan 09, 2023
Django application and library for importing and exporting data with admin integration.

django-import-export django-import-export is a Django application and library for importing and exporting data with included admin integration. Featur

2.6k Jan 07, 2023
DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing

74 Dec 03, 2022
Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap.

Xadmin Drop-in replacement of Django admin comes with lots of goodies, fully extensible with plugin support, pretty UI based on Twitter Bootstrap. Liv

差沙 4.7k Dec 31, 2022
With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials.

Django Hijack With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials. Docs 3.x docs are avai

1.2k Jan 02, 2023
Material Design for Django

Django Material Material design for Django. Django-Material 1.7.x compatible with Django 1.11/2.0/2.1/2.2/3.0/3.1 Django-Material 1.6.x compatible wit

Viewflow 2.5k Jan 01, 2023
Django Smuggler is a pluggable application for Django Web Framework that helps you to import/export fixtures via the automatically-generated administration interface.

Django Smuggler Django Smuggler is a pluggable application for Django Web Framework to easily dump/load fixtures via the automatically-generated admin

semente 373 Dec 26, 2022
📱 An extension for Django admin that makes interface mobile-friendly. Merged into Django 2.0

Django Flat Responsive django-flat-responsive is included as part of Django from version 2.0! 🎉 Use this app if your project is powered by an older D

elky 248 Sep 02, 2022