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60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
import json
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import os
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from common import get_arch_messages
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import pytest
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import requests
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from deepdiff import DeepDiff
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import logging
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import yaml
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logger = logging.getLogger(__name__)
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logger.setLevel(logging.DEBUG)
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ARCHGW_ENDPOINT = os.getenv(
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"ARCHGW_ENDPOINT", "http://localhost:10000/v1/chat/completions"
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)
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# Load test data from YAML file
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with open(os.getenv("TEST_DATA", "test_data.yaml"), "r") as file:
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test_data_yaml = yaml.safe_load(file)
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@pytest.mark.parametrize(
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"test_data",
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[
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pytest.param(test_case, id=test_case["id"])
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for test_case in test_data_yaml["test_cases"]
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],
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)
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def test_demos(test_data):
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input = test_data["input"]
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expected_tools = test_data["expected_tools"]
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expected_output_contains = test_data["expected_output_contains"]
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response = requests.post(ARCHGW_ENDPOINT, json=input)
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assert response.status_code == 200
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# ensure that response is json
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assert response.headers["content-type"] == "application/json"
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response_json = response.json()
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assert response_json.get("model").startswith("gpt-4o")
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choices = response_json.get("choices", [])
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assert len(choices) > 0
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# ensure that model responded according to the expectation
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assert "role" in choices[0]["message"]
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assert choices[0]["message"]["role"] == "assistant"
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assert expected_output_contains.lower() in choices[0]["message"]["content"].lower()
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# now verify arch_messages (tool call and api response) that are sent as response metadata
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arch_messages = get_arch_messages(response_json)
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assert len(arch_messages) == 2
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tool_calls_message = arch_messages[0]
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tool_calls = tool_calls_message.get("tool_calls", [])
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assert len(tool_calls) > 0
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# remove dynamic id from tool_calls
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for tool_call in tool_calls:
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tool_call.pop("id", None)
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diff = DeepDiff(expected_tools, tool_calls, ignore_string_case=True)
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assert not diff
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