mirror of
https://github.com/microsoft/semantic-kernel.git
synced 2026-10-12 02:19:06 +00:00
Eduard van Valkenburg
7bdf55028c
### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Some small fixes in uv setup within actions Added experimental unit tests runs for py3.13 First typing improvement from pyright and pyright config. ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄
112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import copy
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import os
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from pytest import mark, param
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from samples.learn_resources.ai_services import main as ai_services
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from samples.learn_resources.configuring_prompts import main as configuring_prompts
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from samples.learn_resources.creating_functions import main as creating_functions
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from samples.learn_resources.functions_within_prompts import main as functions_within_prompts
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from samples.learn_resources.plugin import main as plugin
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from samples.learn_resources.serializing_prompts import main as serializing_prompts
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from samples.learn_resources.templates import main as templates
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from samples.learn_resources.using_the_kernel import main as using_the_kernel
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from samples.learn_resources.your_first_prompt import main as your_first_prompt
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from tests.utils import retry
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# These environment variable names are used to control which samples are run during integration testing.
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# This has to do with the setup of the tests and the services they depend on.
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COMPLETIONS_CONCEPT_SAMPLE = "COMPLETIONS_CONCEPT_SAMPLE"
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learn_resources = [
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param(
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ai_services,
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[],
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id="ai_services",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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configuring_prompts,
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["Hello, who are you?", "exit"],
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id="configuring_prompts",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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creating_functions,
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["What is 3+3?", "exit"],
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id="creating_functions",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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functions_within_prompts,
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["Hello, who are you?", "exit"],
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id="functions_within_prompts",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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plugin,
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[],
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id="plugin",
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# will run anyway, no services called.
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),
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param(
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serializing_prompts,
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["Hello, who are you?", "exit"],
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id="serializing_prompts",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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templates,
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["Hello, who are you?", "Thanks, see you next time!"],
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id="templates",
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marks=(
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mark.skipif(os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."),
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mark.xfail(reason="This sample is not working as expected."),
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),
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),
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param(
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using_the_kernel,
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[],
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id="using_the_kernel",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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param(
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your_first_prompt,
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["I want to send an email to my manager!"],
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id="your_first_prompt",
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marks=mark.skipif(
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os.getenv(COMPLETIONS_CONCEPT_SAMPLE, None) is None, reason="Not running completion samples."
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),
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),
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]
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@mark.parametrize("func,responses", learn_resources)
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async def test_learn_resources(func, responses, monkeypatch):
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saved_responses = copy.deepcopy(responses)
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def reset():
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responses.clear()
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responses.extend(saved_responses)
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monkeypatch.setattr("builtins.input", lambda _: responses.pop(0))
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if func.__module__ == "samples.learn_resources.your_first_prompt":
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await retry(lambda: func(delay=10), reset=reset)
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return
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await retry(lambda: func(), reset=reset, retries=5)
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