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ORM-like API MongoDB for Python language.

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ramifice

ORM-like API MongoDB for Python language.

Build Status Docs PyPI pyversions PyPI status PyPI version fury.io PyPI Downloads GitHub license GitHub repository

Ramifice is built around PyMongo.
For simulate relationship Many-to-One and Many-to-Many,
a simplified alternative (Types of selective fields with dynamic addition of elements) is used.
The project is more concentrated for web development or for applications with a graphic interface.

MongoDB
Supports MongoDB 3.6, 4.0, 4.2, 4.4, 5.0, 6.0, 7.0, and 8.0.
For more information see PyMongo.

Project Status

Documentation

Online browsable documentation is available at https://kebasyaty.github.io/ramifice/.

Requirements

View the list of requirements.

Installation

  1. Install MongoDB (if not installed):
    Fedora Ubuntu Windows

  2. Run:

# Fedora:
sudo dnf install gettext
gettext --version
# Ubuntu:
sudo apt install gettext
gettext --version
# Windows:
https://mlocati.github.io/articles/gettext-iconv-windows.html
gettext --version

cd project_name
poetry add ramifice
  1. Add the configuration and public directories to the root of your project:
    Download config directory
    Download public directory

Usage

It is recommended to look at examples here.

import asyncio
import pprint
from datetime import datetime

from pymongo import AsyncMongoClient
from ramifice import model, translations
from ramifice.fields import DateField, EmailField, ImageField, PasswordField, TextField
from ramifice.migration import Monitor


@model(service_name="Accounts")
class User:
    def fields(self, gettext):
        # ngettext = translations.get_translator(
        #     translations.CURRENT_LOCALE).ngettext
        self.avatar = ImageField(
            label=gettext("Avatar"),
            default="public/media/default/no-photo.png",
            # Available 4 sizes from lg to xs or None.
            thumbnails={"lg": 480, "md": 240, "sm": 120, "xs": 60},
            # True is high quality and low performance.
            is_high_quality=True,
        )
        self.username = TextField(
            label=gettext("Username"),
            required=True,
            unique=True,
        )
        self.first_name = TextField(label=gettext("First name"), required=True)
        self.last_name = TextField(
            label=gettext("Last name"),
            required=True,
        )
        self.email = EmailField(
            label=gettext("Email"),
            required=True,
            unique=True,
        )
        self.birthday = DateField(label=gettext("Birthday"))
        self.password = PasswordField(label=gettext("Password"))
        self.сonfirm_password = PasswordField(
            label=gettext("Confirm password"),
            # If true, the value of this field is not saved in the database.
            ignored=True,
        )

    async def add_validation(self) -> dict[str, str]:
        """For additional validation of fields."""
        error_map: dict[str, str] = {}
        if self.password != self.сonfirm_password:
            error_map["password"] = "Passwords do not match!"
        return error_map


async def main():
    client = AsyncMongoClient()

    await Monitor(
        database_name="test_db",
        mongo_client=client,
    ).migrat()

    user = User()
    user.username.value = "pythondev"
    user.avatar.from_path("public/media/default/no-photo.png")
    user.first_name.value = "John"
    user.last_name.value = "Smith"
    user.email.value = "John_Smith@gmail.com"
    user.birthday.value = datetime(2000, 1, 25)
    user.password.value = "12345678"
    user.сonfirm_password.value = "12345678"

    if not await user.save():
        # Convenient to use during development.
        user.print_err()

    doc_count = await User.estimated_document_count()
    print(f"Document count: {doc_count}")  # => 1

    print("User details:")
    user_details = await User.find_one_to_raw_doc({"_id": user._id.value})
    pprint.pprint(user_details)

    # await user.delete()
    # doc_count = await User.estimated_document_count()
    # print(f"Document count: {doc_count}")  # => 0

    await client.close()


if __name__ == "__main__":
    asyncio.run(main())

See more examples here.

Model Parameters

See the documentation here.

( only service_name is a required parameter )
Parameter Default Description
service_name no Examples: Accounts | Smartphones | Washing machines | etc ...
fixture_name no The name of the fixture in the config/fixtures directory (without extension).
Examples: SiteSettings | AppSettings | etc ...
db_query_docs_limit 1000 limiting query results.
is_migrat_model True Set to False if you do not need to migrate the Model to the database.
This can be use to validate a web forms - Search form, Contact form, etc.
is_create_doc True Can a Model create new documents in a collection?
Set to False if you only need one document in the collection and the Model is using a fixture.
is_update_doc True Can a Model update documents in a collection?
is_delete_doc True Can a Model remove documents from a collection?

Example:

@model(
    service_name="ServiceName",
    fixture_name="FixtureName",
    db_query_docs_limit=1000,
    is_migrat_model=True,
    is_create_doc = True,
    is_update_doc = True,
    is_delete_doc = True,
)
class User:
    def fields(self, gettext):
        self.username = TextField(
            label=gettext("Username"),
            required=True,
            unique=True,
        )

Contributing

  1. Fork it (https://github.com/kebasyaty/ramifice/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Install for development of Ramifice

# Fedora:
sudo dnf install gettext
gettext --version
# Ubuntu:
sudo apt install gettext
gettext --version
# Windows:
https://mlocati.github.io/articles/gettext-iconv-windows.html
gettext --version

cd project_name
poetry install --with dev docs

Contributors

  • kebasyaty Gennady Kostyunin - creator and maintainer

Changelog

View the change history.

License

This project is licensed under the MIT.

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