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Official Python client for TofuPilot with OpenHTF integration, real-time streaming and file attachment support

Project description

TofuPilot Python Client

PyPI version License: MIT

The official open-source Python client for TofuPilot. Integrate your hardware test runs into one app with just a few lines of Python.

Installation

pip install tofupilot

Quick Start

import os
from tofupilot.v2 import TofuPilot

with TofuPilot(api_key=os.getenv("TOFUPILOT_API_KEY")) as client:
    client.runs.create(
        procedure_id="FVT1",
        serial_number="SN001",
        part_number="PN001",
        outcome="PASS",
    )

Documentation

Authentication

Set your API key as an environment variable:

export TOFUPILOT_API_KEY="your-api-key"

Or pass it directly when initializing the client.

Contributing

Please read CONTRIBUTING for details on our code of conduct and the process for submitting pull requests.

License

MIT - see LICENSE for details.

Summary

TofuPilot APIv2: TofuPilot REST API for managing runs, units, procedures, and more.

More information about the API can be found at https://tofupilot.com/docs/dashboard/api/v2/runs/create

Table of Contents

SDK Installation

[!TIP] To finish publishing your SDK to PyPI you must run your first generation action.

[!NOTE] Python version upgrade policy

Once a Python version reaches its official end of life date, a 3-month grace period is provided for users to upgrade. Following this grace period, the minimum python version supported in the SDK will be updated.

The SDK can be installed with either pip or poetry package managers.

PIP

PIP is the default package installer for Python, enabling easy installation and management of packages from PyPI via the command line.

pip install git+<UNSET>.git

Poetry

Poetry is a modern tool that simplifies dependency management and package publishing by using a single pyproject.toml file to handle project metadata and dependencies.

poetry add git+<UNSET>.git

Shell and script usage with uv

You can use this SDK in a Python shell with uv and the uvx command that comes with it like so:

uvx --from tofupilot.v2 python

It's also possible to write a standalone Python script without needing to set up a whole project like so:

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.9"
# dependencies = [
#     "tofupilot.v2",
# ]
# ///

from tofupilot.v2 import TofuPilot

sdk = TofuPilot(
  # SDK arguments
)

# Rest of script here...

Once that is saved to a file, you can run it with uv run script.py where script.py can be replaced with the actual file name.

IDE Support

PyCharm

Generally, the SDK will work well with most IDEs out of the box. However, when using PyCharm, you can enjoy much better integration with Pydantic by installing an additional plugin.

SDK Example Usage

Example

# Synchronous Example
import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import parse_datetime


with TofuPilot(
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:

    res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

    # Handle response
    print(res)

The same SDK client can also be used to make asychronous requests by importing asyncio.

# Asynchronous Example
import asyncio
import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import parse_datetime

async def main():

    async with TofuPilot(
        api_key=os.getenv("TOFUPILOT_API_KEY", ""),
    ) as tofu_pilot:

        res = await tofu_pilot.procedures.list_async(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

        # Handle response
        print(res)

asyncio.run(main())

Authentication

Per-Client Security Schemes

This SDK supports the following security scheme globally:

Name Type Scheme Environment Variable
api_key http HTTP Bearer TOFUPILOT_API_KEY

To authenticate with the API the api_key parameter must be set when initializing the SDK client instance. For example:

import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import parse_datetime


with TofuPilot(
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:

    res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

    # Handle response
    print(res)

Available Resources and Operations

Available methods

attachments

batches

parts

parts.revisions

  • get - Get part revision
  • delete - Delete part revision
  • update - Update part revision
  • create - Create part revision

procedures

  • list - List and filter procedures
  • create - Create procedure
  • get - Get procedure
  • delete - Delete procedure
  • update - Update procedure

procedures.versions

  • get - Get procedure version
  • delete - Delete procedure version
  • create - Create procedure version

runs

stations

units

user

Retries

Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.

To change the default retry strategy for a single API call, simply provide a RetryConfig object to the call:

import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import BackoffStrategy, RetryConfig, parse_datetime


with TofuPilot(
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:

    res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"),
        RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False))

    # Handle response
    print(res)

If you'd like to override the default retry strategy for all operations that support retries, you can use the retry_config optional parameter when initializing the SDK:

import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import BackoffStrategy, RetryConfig, parse_datetime


with TofuPilot(
    retry_config=RetryConfig("backoff", BackoffStrategy(1, 50, 1.1, 100), False),
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:

    res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

    # Handle response
    print(res)

Error Handling

TofuPilotError is the base class for all HTTP error responses. It has the following properties:

Property Type Description
err.message str Error message
err.status_code int HTTP response status code eg 404
err.headers httpx.Headers HTTP response headers
err.body str HTTP body. Can be empty string if no body is returned.
err.raw_response httpx.Response Raw HTTP response
err.data Optional. Some errors may contain structured data. See Error Classes.

Example

import os
from tofupilot.v2 import TofuPilot, errors
from tofupilot.v2.utils import parse_datetime


with TofuPilot(
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:
    res = None
    try:

        res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

        # Handle response
        print(res)


    except errors.TofuPilotError as e:
        # The base class for HTTP error responses
        print(e.message)
        print(e.status_code)
        print(e.body)
        print(e.headers)
        print(e.raw_response)

        # Depending on the method different errors may be thrown
        if isinstance(e, errors.ErrorBADREQUEST):
            print(e.data.message)  # str
            print(e.data.code)  # str
            print(e.data.issues)  # Optional[List[models.ErrorBADREQUESTIssue]]

Error Classes

Primary errors:

Less common errors (11)

Network errors:

Inherit from TofuPilotError:

  • ErrorNOTFOUND: Not found error. Status code 404. Applicable to 32 of 44 methods.*
  • ErrorBADREQUEST: Bad request error. Status code 400. Applicable to 15 of 44 methods.*
  • ErrorCONFLICT: Conflict error. Status code 409. Applicable to 12 of 44 methods.*
  • ErrorFORBIDDEN: Forbidden error. Status code 403. Applicable to 4 of 44 methods.*
  • ErrorUNPROCESSABLECONTENT: Unprocessable content error. Status code 422. Applicable to 1 of 44 methods.*
  • ErrorBADGATEWAY: Bad gateway error. Status code 502. Applicable to 1 of 44 methods.*
  • ResponseValidationError: Type mismatch between the response data and the expected Pydantic model. Provides access to the Pydantic validation error via the cause attribute.

* Check the method documentation to see if the error is applicable.

Server Selection

Override Server URL Per-Client

The default server can be overridden globally by passing a URL to the server_url: str optional parameter when initializing the SDK client instance. For example:

import os
from tofupilot.v2 import TofuPilot
from tofupilot.v2.utils import parse_datetime


with TofuPilot(
    server_url="https://www.tofupilot.app/api",
    api_key=os.getenv("TOFUPILOT_API_KEY", ""),
) as tofu_pilot:

    res = tofu_pilot.procedures.list(limit=20, cursor=50, search_query="battery test", created_after=parse_datetime("2024-01-01T00:00:00.000Z"), created_before=parse_datetime("2024-12-31T23:59:59.999Z"))

    # Handle response
    print(res)

Custom HTTP Client

The Python SDK makes API calls using the httpx HTTP library. In order to provide a convenient way to configure timeouts, cookies, proxies, custom headers, and other low-level configuration, you can initialize the SDK client with your own HTTP client instance. Depending on whether you are using the sync or async version of the SDK, you can pass an instance of HttpClient or AsyncHttpClient respectively, which are Protocol's ensuring that the client has the necessary methods to make API calls. This allows you to wrap the client with your own custom logic, such as adding custom headers, logging, or error handling, or you can just pass an instance of httpx.Client or httpx.AsyncClient directly.

For example, you could specify a header for every request that this sdk makes as follows:

from tofupilot.v2 import TofuPilot
import httpx

http_client = httpx.Client(headers={"x-custom-header": "someValue"})
s = TofuPilot(client=http_client)

or you could wrap the client with your own custom logic:

from tofupilot.v2 import TofuPilot
from tofupilot.v2.httpclient import AsyncHttpClient
import httpx

class CustomClient(AsyncHttpClient):
    client: AsyncHttpClient

    def __init__(self, client: AsyncHttpClient):
        self.client = client

    async def send(
        self,
        request: httpx.Request,
        *,
        stream: bool = False,
        auth: Union[
            httpx._types.AuthTypes, httpx._client.UseClientDefault, None
        ] = httpx.USE_CLIENT_DEFAULT,
        follow_redirects: Union[
            bool, httpx._client.UseClientDefault
        ] = httpx.USE_CLIENT_DEFAULT,
    ) -> httpx.Response:
        request.headers["Client-Level-Header"] = "added by client"

        return await self.client.send(
            request, stream=stream, auth=auth, follow_redirects=follow_redirects
        )

    def build_request(
        self,
        method: str,
        url: httpx._types.URLTypes,
        *,
        content: Optional[httpx._types.RequestContent] = None,
        data: Optional[httpx._types.RequestData] = None,
        files: Optional[httpx._types.RequestFiles] = None,
        json: Optional[Any] = None,
        params: Optional[httpx._types.QueryParamTypes] = None,
        headers: Optional[httpx._types.HeaderTypes] = None,
        cookies: Optional[httpx._types.CookieTypes] = None,
        timeout: Union[
            httpx._types.TimeoutTypes, httpx._client.UseClientDefault
        ] = httpx.USE_CLIENT_DEFAULT,
        extensions: Optional[httpx._types.RequestExtensions] = None,
    ) -> httpx.Request:
        return self.client.build_request(
            method,
            url,
            content=content,
            data=data,
            files=files,
            json=json,
            params=params,
            headers=headers,
            cookies=cookies,
            timeout=timeout,
            extensions=extensions,
        )

s = TofuPilot(async_client=CustomClient(httpx.AsyncClient()))

Resource Management

The TofuPilot class implements the context manager protocol and registers a finalizer function to close the underlying sync and async HTTPX clients it uses under the hood. This will close HTTP connections, release memory and free up other resources held by the SDK. In short-lived Python programs and notebooks that make a few SDK method calls, resource management may not be a concern. However, in longer-lived programs, it is beneficial to create a single SDK instance via a context manager and reuse it across the application.

import os
from tofupilot.v2 import TofuPilot
def main():

    with TofuPilot(
        api_key=os.getenv("TOFUPILOT_API_KEY", ""),
    ) as tofu_pilot:
        # Rest of application here...


# Or when using async:
async def amain():

    async with TofuPilot(
        api_key=os.getenv("TOFUPILOT_API_KEY", ""),
    ) as tofu_pilot:
        # Rest of application here...

Debugging

You can setup your SDK to emit debug logs for SDK requests and responses.

You can pass your own logger class directly into your SDK.

from tofupilot.v2 import TofuPilot
import logging

logging.basicConfig(level=logging.DEBUG)
s = TofuPilot(debug_logger=logging.getLogger("tofupilot.v2"))

You can also enable a default debug logger by setting an environment variable TOFUPILOT_DEBUG to true.

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