montybase 0.1.2

Simple, Python-based, NoSQL, document, database inspired by Firebase Firestore.

montybase (beta)

Python-based, NoSQL, in-memory, persistent, document database inspired by Firebase Firestore and Pocketbase. Montybase is best suited for small to medium scale Python projects that needs a versatile storage system (e.g. Highscores, Leaderboards, Posts, Accounts, etc).

pip install montybase

Montybase is in beta, however if demand arises, more features, better documentation and updates will be added. Montybase supports chaining (like in JavaScript!).

Why? (Recommended Uses)

With Montybase, you can natively use a complex NoSQL data structure in your program. If you are hosting a server for a website it can natively store data on the same server and does not need to run seperately on a different host.

Features

• Symmetric Encryption
• API Key Authentication
• Query Filters
• Storage Bucket Settings

Documentation

Montybase works as a giant JSON tree. At the moment there are only a few operations available. However, these operations are powerful enough to cover a substantial number of use cases.

Authentication Example:

def signup(db, email, password):
    ref = doc(db, "users")
    if ref.append(email).exists():
        raise ValueError("User already exists!")
    
    return ref.add({"password": password}, key=email)

def login(db, email, password):
    ref = doc(db, "users", email)
    if ref.exists():
        if ref.where("password", "==", password).exists():
            return ref.get()

        raise ValueError("Password is incorect!")
    raise ValueError("User doesn't exist!")

Server Endpoint Setup

Development Mode (hosts on 127.0.0.1:5000)

from montybase import *

mb = Montybase(dev=True)
mb.run()

or specify your dev endpoint like so:

from montybase import *

mb = Montybase(dev="localhost:8000")
mb.run()

Production Mode (hosts on 0.0.0.0:5000)

from montybase import *

mb = Montybase(endpoint=True)
mb.run()

This will automatically create config files and the persistent db. This will also generate a config-file for the client side application (client-config.json). This file must be stored locally on all client side apps since it stores information such as the database's API and encryption key. Otherwise, access to the database will be denied.

Client-Side Connect to Database Server Endpoint

from montybase import *

mb = Montybase(api="https://example.com/")
mb.run()

---

Local Setup

If you don't want to run Montybase as an endpoint simply:

from montybase import *

mb = Montybase()

Hot Reload

Instantly update to persistent storage

from montybase import *

mb = Montybase(hot=True)

Create Reference

ref = doc(db, "users", "amooo-ooo")

Append Reference

new_ref = doc(db, "users").append("amooo-ooo") # new_ref = doc(db, "users", "amooo-ooo")

Set Data

Sets a completely new document.

ref = doc(db, "users")
uid = ref.set({"name": "Amor"})

Any functions that manipulates data will always return the unique ID of the document which can then be appended with ref.append(uid) to inspect further.

For example:

ref = doc(db, "users")
uid = ref.set({"name": "Amor"}) # uid = "q7Vb2kdX-ZcjOFnZW6zW"

new_ref = ref.append(uid) # doc(db, "users", "q7Vb2kdX-ZcjOFnZW6zW")
print(new_ref.get())

Output:

{"name": "Amor"}

You can also specify the unique-id instead of a randomly generated ID by doing the following on any functions that manipulates data:

ref = doc(db, "users")
uid = ref.set({"name": "Amor"}, key="[e-mail]") # uid = "[e-mail]"

print(uid)

Output:

[e-mail]

Add Data

Add a new document.

ref = doc(db, "users")
uid = ref.add({"name": "Amor"})

Delete Data

Delete a document. Will return its deleted contents.

ref = doc(db, "users")
uid = ref.delete({"name": "Amor"}) # uid = {"name": "Amor"}

Update Data

Updates value of a document.

ref = doc(db, "users")
uid = ref.set({"name": "Amor", "score": 100})

new_ref = ref.append(uid)
uid = ref.update({"score": 120})

print(new_ref.get())

Output:

{"name": "Amor", "score": 120}

Get Data

Returns the data from the reference.

ref = doc(db, "users")
uid = ref.set({"name": "Amor", "score": 100})

print(ref.get())

Output:

{"7d857f9c-ab1a-4906-a7ce-be1e62486b75": {"name": "Amor", "score": 120}}

Stream Data

Returns list of dicts containing their id and their value.

ref = doc(db, "scores")

uid = ref.set({"name": "Amor", "score": 100})
uid = ref.add({"name": "Toriel", "score": 120})
uid = ref.add({"name": "Isaac", "score": 130})

docs = ref.stream()
print(docs)

Output:

[{'id': '54e73f44-06c9-4aab-802f-97bde02921b8', 'value': {'name': 'Amor', 'score': 100}}, {'id': 'c3ea0bb7-2c31-4f21-8ff3-bd0d8a8445f0', 'value': {'name': 'Toriel', 'score': 120}}, {'id': '9337609f-e731-4a94-a044-3ca8cc94b466', 'value': {'name': 'Isaac', 'score': 130}}]

Filter Data

Filters the data according to a condition.

ref = doc(db, "users")
data = ref.where("score", ">", 100)

Conditions:

Symbol	Description
==	Equal to
!=	Not equal to
>	Greater than
<	Lesser than
>=	Greater or equal to
<=	Lesser or equal to

Check if data exists

Checks if data exists (returns True or False)

ref = doc(db, "users")
uid = ref.set({"name": "Amor", "score": 100}, key="[e-mail]")

print(ref.append(uid).exist())

Output:

True

Documentation (Server-side)

Config File

{
    "projectName": "montybase", // Name of the app
    "apiKey":"mb-...", // Also the symmetric encryption key
    "storageBucket": "path/to/database", // Path to the raw JSON file
    "storageMinCount": 1, // Run the long-term saving function after N changes.
    "storageUpdate": 300 // Update the raw JSON data file after N seconds, AFTER exceeding "storageMinCount" changes.
}

Database saves information in the long-term by waiting until the storageMinCount is exceeded and resetted. This then creates a timer of storageUpdate seconds, where the DB is predicted to be active. Once the timer runs out it saves the currect active DB into the raw JSON file for long-term storage.

You can change how often it reloads by setting:

from montybase import *

mb = Montybase(updateTime = 300,
               storeMin = 1,)

Free Hosting

If you are interested in hosting the database online for free, I recommend using pythonanywhere.com. It is an online service which lets you hosts free python based back-end applications.

Origin

Montybase was born out of curiousty, and designed with simplicity in mind. Its main origin started off as a simple online database for a school internal assignment. With Montybase, you can natively use a complex NoSQL data structure alongside your program. If you are hosting a server for a website it can natively store data on the same server and does not need to run seperately on a different host. Another reason was because Firebase Firestore prices can accumulate substantially in the long-term and Pocketbase doesn't seem to have Python integration.

Its name was inspired from Python's name origin: "Monty Python".

Future Features

• Asymmetric Encryption
• Realtime Listeners
• Restricted Client Access
• Data Type Rules
• Data Size Limits

Contact

Feel free to contact me at [e-mail]