import os import pytest from openai import OpenAIError from haystack.components.generators.chat import AzureOpenAIChatGenerator from haystack.components.generators.utils import print_streaming_chunk from haystack.dataclasses import ChatMessage from haystack.utils.auth import Secret class TestOpenAIChatGenerator: def test_init_default(self, monkeypatch): monkeypatch.setenv("AZURE_OPENAI_API_KEY", "test-api-key") component = AzureOpenAIChatGenerator(azure_endpoint="some-non-existing-endpoint") assert component.client.api_key == "test-api-key" assert component.azure_deployment == "gpt-35-turbo" assert component.streaming_callback is None assert not component.generation_kwargs def test_init_fail_wo_api_key(self, monkeypatch): monkeypatch.delenv("AZURE_OPENAI_API_KEY", raising=False) monkeypatch.delenv("AZURE_OPENAI_AD_TOKEN", raising=False) with pytest.raises(OpenAIError): AzureOpenAIChatGenerator(azure_endpoint="some-non-existing-endpoint") def test_init_with_parameters(self): component = AzureOpenAIChatGenerator( api_key=Secret.from_token("test-api-key"), azure_endpoint="some-non-existing-endpoint", streaming_callback=print_streaming_chunk, generation_kwargs={"max_tokens": 10, "some_test_param": "test-params"}, ) assert component.client.api_key == "test-api-key" assert component.azure_deployment == "gpt-35-turbo" assert component.streaming_callback is print_streaming_chunk assert component.generation_kwargs == {"max_tokens": 10, "some_test_param": "test-params"} def test_to_dict_default(self, monkeypatch): monkeypatch.setenv("AZURE_OPENAI_API_KEY", "test-api-key") component = AzureOpenAIChatGenerator(azure_endpoint="some-non-existing-endpoint") data = component.to_dict() assert data == { "type": "haystack.components.generators.chat.azure.AzureOpenAIChatGenerator", "init_parameters": { "api_key": {"env_vars": ["AZURE_OPENAI_API_KEY"], "strict": False, "type": "env_var"}, "azure_ad_token": {"env_vars": ["AZURE_OPENAI_AD_TOKEN"], "strict": False, "type": "env_var"}, "api_version": "2023-05-15", "azure_endpoint": "some-non-existing-endpoint", "azure_deployment": "gpt-35-turbo", "organization": None, "streaming_callback": None, "generation_kwargs": {}, }, } def test_to_dict_with_parameters(self, monkeypatch): monkeypatch.setenv("ENV_VAR", "test-api-key") component = AzureOpenAIChatGenerator( api_key=Secret.from_env_var("ENV_VAR", strict=False), azure_ad_token=Secret.from_env_var("ENV_VAR1", strict=False), azure_endpoint="some-non-existing-endpoint", generation_kwargs={"max_tokens": 10, "some_test_param": "test-params"}, ) data = component.to_dict() assert data == { "type": "haystack.components.generators.chat.azure.AzureOpenAIChatGenerator", "init_parameters": { "api_key": {"env_vars": ["ENV_VAR"], "strict": False, "type": "env_var"}, "azure_ad_token": {"env_vars": ["ENV_VAR1"], "strict": False, "type": "env_var"}, "api_version": "2023-05-15", "azure_endpoint": "some-non-existing-endpoint", "azure_deployment": "gpt-35-turbo", "organization": None, "streaming_callback": None, "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params"}, }, } @pytest.mark.integration @pytest.mark.skipif( not os.environ.get("AZURE_OPENAI_API_KEY", None) and not os.environ.get("AZURE_OPENAI_ENDPOINT", None), reason=( "Please export env variables called AZURE_OPENAI_API_KEY containing " "the Azure OpenAI key, AZURE_OPENAI_ENDPOINT containing " "the Azure OpenAI endpoint URL to run this test." ), ) def test_live_run(self): chat_messages = [ChatMessage.from_user("What's the capital of France")] component = AzureOpenAIChatGenerator(organization="HaystackCI") results = component.run(chat_messages) assert len(results["replies"]) == 1 message: ChatMessage = results["replies"][0] assert "Paris" in message.content assert "gpt-35-turbo" in message.meta["model"] assert message.meta["finish_reason"] == "stop" # additional tests intentionally omitted as they are covered by test_openai.py