(self, test_data)
| 11 | @pytest.mark.asyncio |
| 12 | @pytest.mark.test_id("inference_016-017") |
| 13 | async def test_validation(self, test_data): |
| 14 | model_schema_id = test_data["model_schema_id"] |
| 15 | print("model_schema_id: ", model_schema_id) |
| 16 | model_type = test_data["model_type"] |
| 17 | |
| 18 | credentials = { |
| 19 | key: provider_credentials.aes_decrypt(test_data["credentials"][key]) |
| 20 | for key in test_data["credentials"].keys() |
| 21 | } |
| 22 | |
| 23 | request_data = {"model_schema_id": model_schema_id, "model_type": model_type, "credentials": credentials} |
| 24 | if "custom_host" in model_schema_id: |
| 25 | request_data.update( |
| 26 | { |
| 27 | "model_schema_id": "custom_host/openai-text-embedding", |
| 28 | "model_type": "text_embedding", |
| 29 | "credentials": { |
| 30 | "CUSTOM_HOST_ENDPOINT_URL": "https://api.openai.com/v1/embeddings", |
| 31 | "CUSTOM_HOST_MODEL_ID": "text-embedding-3-small", |
| 32 | "CUSTOM_HOST_API_KEY": Config.CUSTOM_HOST_API_KEY, |
| 33 | }, |
| 34 | "properties": {"embedding_size": 1536}, |
| 35 | } |
| 36 | ) |
| 37 | try: |
| 38 | res = await asyncio.wait_for(verify_credentials(request_data), timeout=120) |
| 39 | except asyncio.TimeoutError: |
| 40 | pytest.skip("Skipping test due to timeout after 2 minutes.") |
| 41 | assert res.status_code == 200, f"test_validation failed: result={res.json()}" |
| 42 | assert res.json()["status"] == "success", f"test_validation failed: result={res.json()}" |
| 43 | await asyncio.sleep(1) |
| 44 | |
| 45 | @pytest.mark.parametrize( |
| 46 | "test_data", generate_wildcard_test_case_for_validation(), ids=lambda d: d["model_schema_id"] |
nothing calls this directly
no test coverage detected