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PyNotion

PyNotion is a simple and intuitive Python library for accessing the Notion API. With PyNotion, you can easily integrate and automate Notion tasks within your Python projects.

Please note that PyNotion is currently under development and may not yet be suitable for production use.

Features

PyNotion is currently in development and supports the following features:

1. Create new databases
2. Query existing databases

Installing PyNotion

You can install PyNotion using either Poetry or pip.

Using Poetry

To install PyNotion using Poetry, run the following command in your terminal:

poetry add pynotionclient

Using pip

To install PyNotion using pip, run the following command in your terminal:

pip install pynotionclient

Usage

from pynotionclient import PyNotion
from examples.config import base_config
from pynotionclient.schema.database import RichTextFilter, PropertyFilter, Filter, NotionDatabaseResponseSchema

py_notion_client = PyNotion(token=base_config.notion_secret_token)

# Create necessary properties as dictionary
filter_dict = {"page_size": 100, "filter": {"property": "Name", "rich_text": {"contains": "Home"}}}

# Create necessary filter objects from Pydantic models and use them to query the database.

rich_text_filter = RichTextFilter(contains="Game")
property_filter = PropertyFilter(property="Name", rich_text=rich_text_filter)
filter_object = Filter(page_size=100, filter=property_filter)

response_dict_payload: NotionDatabaseResponseSchema = py_notion_client.database.query_database(
    database_id=base_config.database_id, payload=filter_dict
)
response_filter_payload: NotionDatabaseResponseSchema = py_notion_client.database.query_database(
    database_id=base_config.database_id, payload=filter_object
)

Querying a Database

1. Querying a database using a dictionary

from pynotionclient import PyNotion
from examples.config import base_config
from pynotionclient.schema.database import NotionDatabaseResponseSchema

py_notion_client = PyNotion(token=base_config.notion_secret_token)

# Create necessary properties as dictionary
filter_dict = {"page_size": 100, "filter": {"property": "Name", "rich_text": {"contains": "Home"}}}
response_dict_payload: NotionDatabaseResponseSchema = py_notion_client.database.query_database(
    database_id=base_config.database_id, payload=filter_dict
)

2. Querying a database using a Pydantic model

from pynotionclient import PyNotion
from examples.config import base_config
from pynotionclient.schema.database import RichTextFilter, PropertyFilter, Filter, NotionDatabaseResponseSchema

py_notion_client = PyNotion(token=base_config.notion_secret_token)

# Create necessary filter objects from Pydantic models and use them to query the database.

rich_text_filter = RichTextFilter(contains="Game")
property_filter = PropertyFilter(property="Name", rich_text=rich_text_filter)
filter_object = Filter(page_size=100, filter=property_filter)

response_filter_payload: NotionDatabaseResponseSchema = py_notion_client.database.query_database(
    database_id=base_config.database_id, payload=filter_object)

Response for querying a database

Pynotion client gives you the response as a Pydantic model. You can access the response as a dictionary or as a Pydantic model. The response is a NotionDatabaseResponseSchema model which has the following properties: https://developers.notion.com/reference/database

3. Creating a database

from dotenv import load_dotenv

from examples.config import base_config
from pynotionclient import PyNotion
from pynotionclient.schema.database import (
    ParentConfiguration,
    IconConfiguration,
    TextConfiguration,
    ExternalConfiguration,
    CoverConfiguration,
    SelectOptionsConfiguration,
    SelectOptionsListConfig,
    TitleConfiguration,
    RichTextConfiguration,
    CheckboxConfiguration,
    SelectConfiguration,
    ContentConfiguration,
    MultiSelectConfiguration,
    NumberConfiguration,
    NumberFormats,
    NumberFormatConfiguration,
    DatabasePropertyConfiguration,
)

load_dotenv()
py_notion_client = PyNotion(token=base_config.notion_secret_token)

# # Create database payload
parent_payload = ParentConfiguration(
    type="page_id", page_id=base_config.page_id
)  # The parent is the page where the database will be created.
icon_payload = IconConfiguration(
    type="emoji", emoji="🎮"
)  # The icon is the icon that will be displayed on the database.
text = TextConfiguration(
    content="Game"
)  # The text is the text that will be displayed as the title of the database.
content = ContentConfiguration(
    type="text", plain_text="Game", href="https://www.google.com", text=text
)  # The content has other info's of the title.

# Cover schema
cover = CoverConfiguration(
    type="external", external=ExternalConfiguration(url="https://www.google.com")
)

# # Forming select options schema
properties = {
    "Name": TitleConfiguration().dict(),
    "Description": RichTextConfiguration().dict(),
    "In stock": CheckboxConfiguration().dict(),
    "Food Group": SelectConfiguration(
        select=SelectOptionsListConfig(
            options=[
                SelectOptionsConfiguration(color="green", name="Code"),
                SelectOptionsConfiguration(color="red", name="Game"),
            ],
        )
    ).dict(),
    "Cusines": MultiSelectConfiguration(
        multi_select=SelectOptionsListConfig(
            options=[
                SelectOptionsConfiguration(color="green", name="Code"),
                SelectOptionsConfiguration(color="red", name="Game"),
            ],
        )
    ).dict(),
    "Price": NumberConfiguration(
        number=NumberFormatConfiguration(
            format=NumberFormats.NUMBER_WITH_COMMAS,
        ),
    ).dict(),
}
print(properties)
create_database_payload = DatabasePropertyConfiguration(
    title=[content],
    cover=cover,
    parent=parent_payload,
    icon=icon_payload,
    properties=properties,
)

response = py_notion_client.database.create_database(
    payload=create_database_payload,
)

print(response.json())

PyNotion Development Setup

Follow these steps to set up your development environment for PyNotion:

Virtual Environment with Poetry

1. Create a fork of the PyNotion repository
2. Clone the repository to your local machine: git clone git@github.com:<username>/PyNotion.git
3. Install Poetry: pip install poetry or pip3 install poetry
4. Navigate to the root of the project and run: poetry install

Pre-commit Hooks

1. Install pre-commit hooks: pre-commit install
2. Migrate pre-commit configurations: pre-commit migrate-config
3. If you encounter an error, run: git config --global --unset-all core.hooksPath or git config --unset-all core.hooksPath

Contributing

We welcome contributions to PyNotion! Before making a major change, please open an issue to discuss your proposed changes. To submit a contribution, simply create a pull request.