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CRIPT Python Software Development Kit (SDK)

PyPI version

The CRIPT Python SDK provides convenient access to the CRIPT REST API from any Python 3.8+ application. The SDK includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.

Documentation

The full SDK documentation can be found in c-accel-cript.github.io/cript-python.

Installation

# install from this staging repo
pip install git+https://github.com/c-accel-cript/cript-python.git

Config

Create a .env file and copy your API KEYS from the CRIPT website->Account->Security Settings

CRIPT_API_KEY=API Token
CRIPT_STORAGE_KEY=Storage Token
CRIPT_LOG=

The log level can be set to DEBUG, INFO, ERROR if ommited then the logs wont show.

Note

Once this package is published to PyPI, this will become: pip install --pre cript

Usage

The full SDK documentaion can be found in c-accel-cript.github.io/cript-python.

from cript import *

proj = Project(
    name="Change Project Name",
    notes="my notes",
)

print(proj)

Advanced

Configuring the HTTP client

You can directly override the httpx client to customize it for your use case, including:

  • Support for proxies
  • Custom transports
  • Additional advanced functionality
from cript import Cript, DefaultHttpxClient

client = Cript(
    # Or use the `CRIPT_BASE_URL` env var
    base_url="http://my.test.server.example.com:8083",
    http_client=DefaultHttpxClient(
        proxies="http://my.test.proxy.example.com",
        transport=httpx.HTTPTransport(local_address="0.0.0.0"),
    ),
)

Managing HTTP resources

By default the SDK closes underlying HTTP connections whenever the client is garbage collected. You can manually close the client using the .close() method if desired, or with a context manager that closes when exiting.

Handling errors

When the SDK is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of cript.APIConnectionError is raised.

When the API returns a non-success status code (that is, 4xx or 5xx response), a subclass of cript.APIStatusError is raised, containing status_code and response properties.

All errors inherit from cript.APIError.

import cript
from cript import Cript

client = Cript()

try:
    client.schema.retrieve()
except cript.APIConnectionError as e:
    print("The server could not be reached")
    print(e.__cause__)  # an underlying Exception, likely raised within httpx.
except cript.RateLimitError as e:
    print("A 429 status code was received; we should back off a bit.")
except cript.APIStatusError as e:
    print("Another non-200-range status code was received")
    print(e.status_code)
    print(e.response)

Error codes are as followed:

Status Code Error Type
400 BadRequestError
401 AuthenticationError
403 PermissionDeniedError
404 NotFoundError
422 UnprocessableEntityError
429 RateLimitError
>=500 InternalServerError
N/A APIConnectionError

Retries

Certain errors are automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors are all retried by default.

You can use the max_retries option to configure or disable retry settings:

from cript import Cript

# Configure the default for all requests:
client = Cript(
    # default is 2
    max_retries=0,
)

# Or, configure per-request:
client.with_options(max_retries=5).schema.retrieve()

Timeouts

By default requests time out after 1 minute. You can configure this with a timeout option, which accepts a float or an httpx.Timeout object:

from cript import Cript

# Configure the default for all requests:
client = Cript(
    # 20 seconds (default is 1 minute)
    timeout=20.0,
)

# More granular control:
client = Cript(
    timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
)

# Override per-request:
client.with_options(timeout=5.0).schema.retrieve()

On timeout, an APITimeoutError is thrown.

Note that requests that time out are retried twice by default.

Logging

We use the standard SDK logging module.

You can enable logging by setting the environment variable CRIPT_LOG to debug.

$ export CRIPT_LOG=debug

How to tell whether None means null or missing

In an API response, a field may be explicitly null, or missing entirely; in either case, its value is None in this library. You can differentiate the two cases with .model_fields_set:

if response.my_field is None:
  if 'my_field' not in response.model_fields_set:
    print('Got json like {}, without a "my_field" key present at all.')
  else:
    print('Got json like {"my_field": null}.')

Making custom/undocumented requests

This SDK is typed for convenient access to the documented API.

If you need to access undocumented endpoints, params, or response properties, the SDK can still be used.

Undocumented endpoints

To make requests to undocumented endpoints, you can make requests using client.get, client.post, and other http verbs. Options on the client will be respected (such as retries) will be respected when making this request.

import httpx

response = client.post(
    "/foo",
    cast_to=httpx.Response,
    body={"my_param": True},
)

print(response.headers.get("x-foo"))

Undocumented request params

If you want to explicitly send an extra param, you can do so with the extra_query, extra_body, and extra_headers request options.

Undocumented response properties

To access undocumented response properties, you can access the extra fields like response.unknown_prop. You can also get all the extra fields on the Pydantic model as a dict with response.model_extra.

Versioning

This package generally follows SemVer conventions, though certain backwards-incompatible changes may be released as minor versions:

  1. Changes that only affect static types, without breaking runtime behavior.
  2. Changes to library internals which are technically public but not intended or documented for external use. (Please open a GitHub issue to let us know if you are relying on such internals).
  3. Changes that we do not expect to impact the vast majority of users in practice.

We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.

We are keen for your feedback; please open an issue with questions, bugs, or suggestions.

Requirements

Python 3.8 or higher.

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