connector-py 3.2.6

An Abstract Tool to Perform Actions on Integrations

Lumos Connectors

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Table of Contents

• Installation
• Usage
• Error Handling
• OAuth Module
• Scaffold
• FastAPI
• Tips
• License

Installation

pip install connector-py

Usage

The package can be used in three ways:

1. A CLI to scaffold a custom connector with its own CLI to call commands
2. A library to create a custom connector
3. A library to convert your custom connector code to a FastAPI HTTP server

To get started, run connector --help

An example of running a command that accepts arguments in an integration connector called mock-connector:

mock-connector info --json '{"a": 1}'

Connector implementation

Connectors can implement whichever Lumos capabilities make sense for the underlying app.

To see what a minimal implementation looks like, you can run

connector scaffold foo-bar projects/connectors/python/foo-bar

projects/connectors/python/foo-bar/foo_bar/integration.py will look something like this:

integration = Integration(
    app_id="github",
    auth=BasicCredential,
    settings_model=FooBarSettings,
    exception_handlers=[
        (httpx.HTTPStatusError, HTTPHandler, None),
    ],
    description_data=DescriptionData(
        logo_url="https://logo.clearbit.com/foobar.com",
        user_friendly_name="Foo Bar",
        description="Foobar is a cloud-based platform that lets you manage foos and bars",
        categories=[AppCategory.DEVELOPERS, AppCategory.COLLABORATION],
    ),
    resource_types=resource_types,
    entitlement_types=entitlement_types,
)

Once an integration is created, you can register handlers for Lumos capabilities.

@integration.register_capability(CapabilityName.LIST_ACCOUNTS)
async def list_accounts(request: ListAccountsRequest) -> ListAccountsResponse:
    # do whatever is needed to get accounts
    return ListAccountsResponse(
        response=[],
        raw_data=raw_data if request.include_raw_data else None,
        ...
    )

Error Handling

Error handling is facilitated through an exception handler decorator.

An exception handler can be attached to the connector library as follows:

from httpx import HTTPStatusError
from connector.oai.errors import HTTPHandler

integration = Integration(
    ...,
    exception_handlers=[
        (HTTPStatusError, HTTPHandler, None),
    ],
    handle_errors=True,
)

The decorator accepts a list of tuples of three. First tuple argument is the exception you would like to be catching, second is the handler (default or implemented on your own) and third is a specific error code that you would like to associate with this handler.

By default it is recommended to make use of the default HTTPHandler which will handle raise_for_status() for you and properly error code it. For more complex errors it is recommended to subclass the ExceptionHandler (in connector/oai/errors.py) and craft your own handler.

Raising an exception

Among this, there is a custom exception class available as well as a default list of error codes:

from connector.oai.errors import ConnectorError
from connector.generated import ErrorCode

def some_method(self, args):
    raise ConnectorError(
        message="Received wrong data, x: y",
        app_error_code="foobar.some_unique_string",
        error_code=ErrorCode.BAD_REQUEST,
    )

It is preferred to raise any manually raisable exception with this class. A connector can implement its own error codes list, which should be properly documented.

Response

Error codes are by default prefixed with the app_id of the connector that has raised the exception. In your implementation you don't need to worry about this and can only focus on the second and optionally third level of the error code.

An example response when handled this way:

// BAD_REQUEST error from github connector
{"error":{"message":"Some message","status_code":400,"error_code":"github.bad_request","raised_by":"HTTPStatusError","raised_in":"github.sync_.lumos:validate_credentials"}, "response": null, "raw_data": null}

OAuth Module

The OAuth module is responsible for handling the OAuth2.0 flow for a connector. It is configured with oauth_settings in the Integration class. Not configuring this object will disable the OAuth module completely.

integration = Integration(
    ...,
    oauth_settings=OAuthSettings(
        authorization_url="https://app.connector.com/oauth/authorize",
        token_url="https://api.connector.com/oauth/v1/token",
        scopes=OAuthScopes(
            validate_credentials="test:scope another:scope",
            ... # further capabilities as implemented in the connector
        ),
        # You can modify the request type if the default is not appropriate
        # common options for method are "POST" and "GET"
        # available options for data are "FORMDATA", "QUERY", and "JSON" (form-data / url query params / json body)
        # *default is POST and FORMDATA*
        request_type=OAuthRequest(method=RequestMethod.POST, data=RequestDataType.FORMDATA),
        # You can modify the authentication method if the default is not appropriate
        # available options for auth_method are "CLIENT_SECRET_POST" and "CLIENT_SECRET_BASIC"
        # *default is CLIENT_SECRET_POST*
        client_auth=ClientAuthenticationMethod.CLIENT_SECRET_POST,
        # You can turn off specific or all capabilities for the OAuth module
        # This means that these will either be skipped or you have to implement them manually
        capabilities=OAuthCapabilities(
            refresh_access_token=False,
        ),
    ),
)

If you run:

connector info

You will see that the OAuth capabilities are included in the available connector capabilities.

Scaffold

To scaffold a custom connector, run connector scaffold --help

To scaffold the mock-connector, run connector scaffold mock-connector "projects/connectors/python/mock-connector"

FastAPI

To convert your custom connector to a FastAPI HTTP server, run connector hacking http-server

Tips

The library I want to use is synchronous only

You can use a package called asgiref. This package converts I/O bound synchronous calls into asyncio non-blocking calls. First, add asgiref to your dependencies list in pyproject.toml. Then, in your async code, use asgiref.sync_to_async to convert synchronous calls to asynchronous calls.

from asgiref.sync import sync_to_async
import requests

async def async_get_data():
    response = await sync_to_async(requests.get)("url")

License

connector is distributed under the terms of the Apache 2.0 license.