Pyrebase4Lite

A simple python wrapper for the Firebase API.

This is a fork of Pyrebase4 with the heavy dependecies and the admin priveledge removed

Installation

pip install pyrebase4lite

Getting Started

Python Version

Pyrebase was written for python 3 and will not work correctly with python 2.

Add Pyrebase to your application

For use with only user based authentication we can create the following configuration:

import pyrebaselite

config = {
    "apiKey": "apiKey",
    "authDomain": "projectId.firebaseapp.com",
    "databaseURL": "https://databaseName.firebaseio.com",
    "storageBucket": "projectId.appspot.com"
}

firebase = pyrebaselite.initialize_app(config)

Use Services

A Pyrebase app can use multiple Firebase services.

firebase.auth() - Authentication

firebase.database() - Database

firebase.storage() - Storage

Check out the documentation for each service for further details.

Authentication

The sign_in_with_email_and_password() method will return user data including a token you can use to adhere to security rules.

Each of the following methods accepts a user token: get(), push(), set(), update(), remove() and stream().

# Get a reference to the auth service
auth = firebase.auth()

# Log the user in
user = auth.sign_in_with_email_and_password(email, password)

# Log the user in anonymously
user = auth.sign_in_anonymous()

# Add user info
user = auth.update_profile(display_name, photo_url, delete_attribute)

# Get user info
user = auth.get_account_info()

# Get a reference to the database service
db = firebase.database()

# data to save
data = {
    "name": "Mortimer 'Morty' Smith"
}

# Pass the user's idToken to the push method
results = db.child("users").push(data, user['idToken'])

Token expiry

A user's idToken expires after 1 hour, so be sure to use the user's refreshToken to avoid stale tokens.

user = auth.sign_in_with_email_and_password(email, password)
# before the 1 hour expiry:
user = auth.refresh(user['refreshToken'])
# now we have a fresh token
user['idToken']

Manage Users

Creating users

auth.create_user_with_email_and_password(email, password)

Note: Make sure you have the Email/password provider enabled in your Firebase dashboard under Auth -> Sign In Method.

Verifying emails

auth.send_email_verification(user['idToken'])

Sending password reset emails

auth.send_password_reset_email("email")

Get account information

auth.get_account_info(user['idToken'])

Refreshing tokens

user = auth.refresh(user['refreshToken'])

Delete account

auth.delete_user_account(user['idToken'])

Database

You can build paths to your data by using the child() method.

db = firebase.database()
db.child("users").child("Morty")

Save Data

push

To save data with a unique, auto-generated, timestamp-based key, use the push() method.

data = {"name": "Mortimer 'Morty' Smith"}
db.child("users").push(data)

set

To create your own keys use the set() method. The key in the example below is "Morty".

data = {"name": "Mortimer 'Morty' Smith"}
db.child("users").child("Morty").set(data)

update

To update data for an existing entry use the update() method.

db.child("users").child("Morty").update({"name": "Mortiest Morty"})

remove

To delete data for an existing entry use the remove() method.

db.child("users").child("Morty").remove()

multi-location updates

You can also perform multi-location updates with the update() method.

data = {
    "users/Morty/": {
        "name": "Mortimer 'Morty' Smith"
    },
    "users/Rick/": {
        "name": "Rick Sanchez"
    }
}

db.update(data)

To perform multi-location writes to new locations we can use the generate_key() method.

data = {
    "users/"+ref.generate_key(): {
        "name": "Mortimer 'Morty' Smith"
    },
    "users/"+ref.generate_key(): {
        "name": "Rick Sanchez"
    }
}

db.update(data)

Conditional Requests

It's possible to do conditional sets and removes by using the conditional_set() and conitional_remove() methods respectively. You can read more about conditional requests in Firebase here.

To use these methods, you first get the ETag of a particular path by using the get_etag() method. You can then use that tag in your conditional request.

etag = db.child("users").child("Morty").get_etag()
data = {"name": "Mortimer 'Morty' Smith"}
db.child("users").child("Morty").conditional_set(data, etag["ETag"])

If the passed ETag does not match the ETag of the path in the database, the data will not be written, and both conditional request methods will return a single key-value pair with the new ETag to use of the following form:

{ "ETag": "8KnE63B6HiKp67Wf3HQrXanujSM=", "value": "" }

Here's an example of checking whether or not a conditional removal was successful:

etag = db.child("users").child("Morty").get_etag()
response = db.child("users").child("Morty").conditional_remove(etag["ETag"])
if type(response) is dict and "ETag" in response:
    etag = response["ETag"] # our ETag was out-of-date
else:
    print("We removed the data successfully!")

Here's an example of looping to increase age by 1:

etag = db.child("users").child("Morty").child("age").get_etag()
while type(etag) is dict and "ETag" in etag:
    new_age = etag["value"] + 1
    etag = db.child("users").child("Morty").child("age").conditional_set(new_age, etag["ETag"])

Retrieve Data

val

Queries return a PyreResponse object. Calling val() on these objects returns the query data.

users = db.child("users").get()
print(users.val()) # {"Morty": {"name": "Mortimer 'Morty' Smith"}, "Rick": {"name": "Rick Sanchez"}}

key

Calling key() returns the key for the query data.

user = db.child("users").get()
print(user.key()) # users

each

Returns a list of objects on each of which you can call val() and key().

all_users = db.child("users").get()
for user in all_users.each():
    print(user.key()) # Morty
    print(user.val()) # {name": "Mortimer 'Morty' Smith"}

get

To return data from a path simply call the get() method.

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

Conditional Requests

It's possible to do conditional sets and removes by using the conditional_set() and conitional_remove() methods respectively. You can read more about conditional requests in Firebase here.

To use these methods, you first get the ETag of a particular path by using the get_etag() method. You can then use that tag in your conditional request.

etag = db.child("users").child("Morty").get_etag()
data = {"name": "Mortimer 'Morty' Smith"}
db.child("users").child("Morty").conditional_set(data, etag)

If the passed ETag does not match the ETag of the path in the database, the data will not be written, and both conditional request methods will return a single key-value pair with the new ETag to use of the following form:

{ "ETag": "8KnE63B6HiKp67Wf3HQrXanujSM=" }

Here's an example of checking whether or not a conditional removal was successful:

etag = db.child("users").child("Morty").get_etag()
response = db.child("users").child("Morty").conditional_remove(etag)

if "ETag" in response:
    etag = response["ETag"] # our ETag was out-of-date
else:
    print("We removed the data successfully!")

shallow

To return just the keys at a particular path use the shallow() method.

all_user_ids = db.child("users").shallow().get()

Note: shallow() can not be used in conjunction with any complex queries.

streaming

You can listen to live changes to your data with the stream() method.

def stream_handler(message):
    print(message["event"]) # put
    print(message["path"]) # /-K7yGTTEp7O549EzTYtI
    print(message["data"]) # {'title': 'Pyrebase', "body": "etc..."}

my_stream = db.child("posts").stream(stream_handler)

You should at least handle put and patch events. Refer to "Streaming from the REST API" for details.

You can also add a stream_id to help you identify a stream if you have multiple running:

my_stream = db.child("posts").stream(stream_handler, stream_id="new_posts")

close the stream

my_stream.close()

Complex Queries

Queries can be built by chaining multiple query parameters together.

users_by_name = db.child("users").order_by_child("name").limit_to_first(3).get()

This query will return the first three users ordered by name.

order_by_child

We begin any complex query with order_by_child().

users_by_name = db.child("users").order_by_child("name").get()

This query will return users ordered by name.

equal_to

Return data with a specific value.

users_by_score = db.child("users").order_by_child("score").equal_to(10).get()

This query will return users with a score of 10.

start_at and end_at

Specify a range in your data.

users_by_score = db.child("users").order_by_child("score").start_at(3).end_at(10).get()

This query returns users ordered by score and with a score between 3 and 10.

limit_to_first and limit_to_last

Limits data returned.

users_by_score = db.child("users").order_by_child("score").limit_to_first(5).get()

This query returns the first five users ordered by score.

order_by_key

When using order_by_key() to sort your data, data is returned in ascending order by key.

users_by_key = db.child("users").order_by_key().get()

order_by_value

When using order_by_value(), children are ordered by their value.

users_by_value = db.child("users").order_by_value().get()

Storage

The storage service allows you to upload images to Firebase.

child

Just like with the Database service, you can build paths to your data with the Storage service.

storage.child("images/example.jpg")

put

The put method takes the path to the local file and an optional user token.

storage = firebase.storage()
# as admin
storage.child("images/example.jpg").put("example2.jpg")
# as user
storage.child("images/example.jpg").put("example2.jpg", user['idToken'])

download

The download method takes the path to the saved database file and the name you want the downloaded file to have.

storage.child("images/example.jpg").download("downloaded.jpg")

get_url

The get_url method takes the path to the saved database file and user token which returns the storage url.

storage.child("images/example.jpg").get_url(user["idToken"])
# https://firebasestorage.googleapis.com/v0/b/storage-url.appspot.com/o/images%2Fexample.jpg?alt=media

delete

The delete method takes the path to the saved database file and user token.

storage.delete("images/example.jpg",user["idToken"])

Helper Methods

generate_key

db.generate_key() is an implementation of Firebase's key generation algorithm.

See multi-location updates for a potential use case.

sort

Sometimes we might want to sort our data multiple times. For example, we might want to retrieve all articles written between a certain date then sort those articles based on the number of likes.

Currently the REST API only allows us to sort our data once, so the sort() method bridges this gap.

articles = db.child("articles").order_by_child("date").start_at(startDate).end_at(endDate).get()
articles_by_likes = db.sort(articles, "likes")

Common Errors

Index not defined

+Indexing is not enabled for the database reference.