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from fastapi.testclient import TestClient | |
from private_gpt.open_ai.openai_models import OpenAICompletion, OpenAIMessage | |
from private_gpt.server.chat.chat_router import ChatBody | |
def test_chat_route_produces_a_stream(test_client: TestClient) -> None: | |
body = ChatBody( | |
messages=[OpenAIMessage(content="test", role="user")], | |
use_context=False, | |
stream=True, | |
) | |
response = test_client.post("/v1/chat/completions", json=body.model_dump()) | |
raw_events = response.text.split("\n\n") | |
events = [ | |
item.removeprefix("data: ") for item in raw_events if item.startswith("data: ") | |
] | |
assert response.status_code == 200 | |
assert "text/event-stream" in response.headers["content-type"] | |
assert len(events) > 0 | |
assert events[-1] == "[DONE]" | |
def test_chat_route_produces_a_single_value(test_client: TestClient) -> None: | |
body = ChatBody( | |
messages=[OpenAIMessage(content="test", role="user")], | |
use_context=False, | |
stream=False, | |
) | |
response = test_client.post("/v1/chat/completions", json=body.model_dump()) | |
# No asserts, if it validates it's good | |
OpenAICompletion.model_validate(response.json()) | |
assert response.status_code == 200 | |