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* challenge_kubes_and_readme * docs * testing * black and isort * revision * lint * comments * blackisort * docs * docs * deleting_cassette * suggestions * misspelling_errors --------- Co-authored-by: merwanehamadi <merwanehamadi@gmail.com>
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
import contextlib
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from typing import Generator
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import pytest
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import yaml
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from autogpt.commands.file_operations import read_file
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from tests.integration.agent_utils import run_interaction_loop
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from tests.integration.challenges.utils import run_multiple_times
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from tests.utils import requires_api_key
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def input_generator(input_sequence: list) -> Generator[str, None, None]:
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"""
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Creates a generator that yields input strings from the given sequence.
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:param input_sequence: A list of input strings.
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:return: A generator that yields input strings.
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"""
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yield from input_sequence
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@pytest.mark.skip("This challenge hasn't been beaten yet.")
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@pytest.mark.vcr
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@requires_api_key("OPENAI_API_KEY")
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@run_multiple_times(3)
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def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> None:
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"""
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Test the challenge_a function in a given agent by mocking user inputs
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and checking the output file content.
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:param get_company_revenue_agent: The agent to test.
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:param monkeypatch: pytest's monkeypatch utility for modifying builtins.
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"""
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input_sequence = ["s", "s", "s", "s", "s", "EXIT"]
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gen = input_generator(input_sequence)
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monkeypatch.setattr("builtins.input", lambda _: next(gen))
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with contextlib.suppress(SystemExit):
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run_interaction_loop(kubernetes_agent, None)
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file_path = str(kubernetes_agent.workspace.get_path("kube.yaml"))
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content = read_file(file_path)
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for word in ["apiVersion", "kind", "metadata", "spec"]:
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assert word in content, f"Expected the file to contain {word}"
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content = yaml.safe_load(content)
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for word in ["Service", "Deployment", "Pod"]:
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assert word in content["kind"], f"Expected the file to contain {word}"
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