Skip to main content

No project description provided

This project has been archived.

The maintainers of this project have marked this project as archived. No new releases are expected.

Project description

Markup AI Python Library

fern shield pypi

The official Markup AI SDK for interacting with the Markup AI API.

Table of Contents

Installation

pip install markup-ai-api

Reference

A full reference for this library is available here.

Usage

Instantiate and use the client with the following:

from markup_ai import MarkupAI

client = MarkupAI(
    token="YOUR_TOKEN",
)
client.style_guides.list_style_guides()

Async Client

The SDK also exports an async client so that you can make non-blocking calls to our API. Note that if you are constructing an Async httpx client class to pass into this client, use httpx.AsyncClient() instead of httpx.Client() (e.g. for the httpx_client parameter of this client).

import asyncio

from markup_ai import AsyncMarkupAI

client = AsyncMarkupAI(
    token="YOUR_TOKEN",
)


async def main() -> None:
    await client.style_guides.list_style_guides()


asyncio.run(main())

Exception Handling

When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.

from markup_ai.core.api_error import ApiError

try:
    client.style_guides.list_style_guides(...)
except ApiError as e:
    print(e.status_code)
    print(e.body)

Advanced

Access Raw Response Data

The SDK provides access to raw response data, including headers, through the .with_raw_response property. The .with_raw_response property returns a "raw" client that can be used to access the .headers and .data attributes.

from markup_ai import MarkupAI

client = MarkupAI(
    ...,
)
response = client.style_guides.with_raw_response.list_style_guides(...)
print(response.headers)  # access the response headers
print(response.data)  # access the underlying object

Retries

The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).

A request is deemed retryable when any of the following HTTP status codes is returned:

  • 408 (Timeout)
  • 429 (Too Many Requests)
  • 5XX (Internal Server Errors)

Use the max_retries request option to configure this behavior.

client.style_guides.list_style_guides(..., request_options={
    "max_retries": 1
})

Timeouts

The SDK defaults to a 60 second timeout. You can configure this with a timeout option at the client or request level.

from markup_ai import MarkupAI

client = MarkupAI(
    ...,
    timeout=20.0,
)


# Override timeout for a specific method
client.style_guides.list_style_guides(..., request_options={
    "timeout_in_seconds": 1
})

Custom Client

You can override the httpx client to customize it for your use-case. Some common use-cases include support for proxies and transports.

import httpx
from markup_ai import MarkupAI

client = MarkupAI(
    ...,
    httpx_client=httpx.Client(
        proxy="http://my.test.proxy.example.com",
        transport=httpx.HTTPTransport(local_address="0.0.0.0"),
    ),
)

Contributing

While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!

On the other hand, contributions to the README are always very welcome!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

markup_ai_api-1.5.0.tar.gz (46.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

markup_ai_api-1.5.0-py3-none-any.whl (87.2 kB view details)

Uploaded Python 3

File details

Details for the file markup_ai_api-1.5.0.tar.gz.

File metadata

  • Download URL: markup_ai_api-1.5.0.tar.gz
  • Upload date:
  • Size: 46.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.18 Linux/6.11.0-1018-azure

File hashes

Hashes for markup_ai_api-1.5.0.tar.gz
Algorithm Hash digest
SHA256 a8add7ce8f2f4983dd09728db990060061561f6b0dce5bd35a47b3debd2220d5
MD5 d64e06265ac1e38212479cc67f032617
BLAKE2b-256 705821f6ee7140c8d6fd81c301dbc54501d689d82fca36cf76d95be284a46b32

See more details on using hashes here.

File details

Details for the file markup_ai_api-1.5.0-py3-none-any.whl.

File metadata

  • Download URL: markup_ai_api-1.5.0-py3-none-any.whl
  • Upload date:
  • Size: 87.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.18 Linux/6.11.0-1018-azure

File hashes

Hashes for markup_ai_api-1.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7d6723cd8d8c1fc26b31402a11dd0364b40f421f7cc6ef037534621586222877
MD5 f21b90b5a94b995a6f216a8789798a78
BLAKE2b-256 98399dd889f2a3a79054598e10301fe6babd168a0b554bb70994558dc9c19a3e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page