| |
| |
| |
| import pytest |
| from transformers import AutoTokenizer |
|
|
| from haystack.dataclasses import ChatMessage, ChatRole |
| from haystack.components.generators.openai_utils import _convert_message_to_openai_format |
|
|
|
|
| def test_from_assistant_with_valid_content(): |
| content = "Hello, how can I assist you?" |
| message = ChatMessage.from_assistant(content) |
| assert message.content == content |
| assert message.role == ChatRole.ASSISTANT |
|
|
|
|
| def test_from_user_with_valid_content(): |
| content = "I have a question." |
| message = ChatMessage.from_user(content) |
| assert message.content == content |
| assert message.role == ChatRole.USER |
|
|
|
|
| def test_from_system_with_valid_content(): |
| content = "System message." |
| message = ChatMessage.from_system(content) |
| assert message.content == content |
| assert message.role == ChatRole.SYSTEM |
|
|
|
|
| def test_with_empty_content(): |
| message = ChatMessage.from_user("") |
| assert message.content == "" |
|
|
|
|
| def test_from_function_with_empty_name(): |
| content = "Function call" |
| message = ChatMessage.from_function(content, "") |
| assert message.content == content |
| assert message.name == "" |
|
|
|
|
| def test_to_openai_format(): |
| message = ChatMessage.from_system("You are good assistant") |
| assert _convert_message_to_openai_format(message) == {"role": "system", "content": "You are good assistant"} |
|
|
| message = ChatMessage.from_user("I have a question") |
| assert _convert_message_to_openai_format(message) == {"role": "user", "content": "I have a question"} |
|
|
| message = ChatMessage.from_function("Function call", "function_name") |
| assert _convert_message_to_openai_format(message) == { |
| "role": "function", |
| "content": "Function call", |
| "name": "function_name", |
| } |
|
|
|
|
| @pytest.mark.integration |
| def test_apply_chat_templating_on_chat_message(): |
| messages = [ChatMessage.from_system("You are good assistant"), ChatMessage.from_user("I have a question")] |
| tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta") |
| formatted_messages = [_convert_message_to_openai_format(m) for m in messages] |
| tokenized_messages = tokenizer.apply_chat_template(formatted_messages, tokenize=False) |
| assert tokenized_messages == "<|system|>\nYou are good assistant</s>\n<|user|>\nI have a question</s>\n" |
|
|
|
|
| @pytest.mark.integration |
| def test_apply_custom_chat_templating_on_chat_message(): |
| anthropic_template = ( |
| "{%- for message in messages %}" |
| "{%- if message.role == 'user' %}\n\nHuman: {{ message.content.strip() }}" |
| "{%- elif message.role == 'assistant' %}\n\nAssistant: {{ message.content.strip() }}" |
| "{%- elif message.role == 'function' %}{{ raise('anthropic does not support function calls.') }}" |
| "{%- elif message.role == 'system' and loop.index == 1 %}{{ message.content }}" |
| "{%- else %}{{ raise('Invalid message role: ' + message.role) }}" |
| "{%- endif %}" |
| "{%- endfor %}" |
| "\n\nAssistant:" |
| ) |
| messages = [ChatMessage.from_system("You are good assistant"), ChatMessage.from_user("I have a question")] |
| |
| tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta") |
| formatted_messages = [_convert_message_to_openai_format(m) for m in messages] |
| tokenized_messages = tokenizer.apply_chat_template( |
| formatted_messages, chat_template=anthropic_template, tokenize=False |
| ) |
| assert tokenized_messages == "You are good assistant\nHuman: I have a question\nAssistant:" |
|
|
|
|
| def test_to_dict(): |
| message = ChatMessage.from_user("content") |
| message.meta["some"] = "some" |
|
|
| assert message.to_dict() == {"content": "content", "role": "user", "name": None, "meta": {"some": "some"}} |
|
|
|
|
| def test_from_dict(): |
| assert ChatMessage.from_dict(data={"content": "text", "role": "user", "name": None}) == ChatMessage( |
| content="text", role=ChatRole("user"), name=None, meta={} |
| ) |
|
|
|
|
| def test_from_dict_with_meta(): |
| assert ChatMessage.from_dict( |
| data={"content": "text", "role": "user", "name": None, "meta": {"something": "something"}} |
| ) == ChatMessage(content="text", role=ChatRole("user"), name=None, meta={"something": "something"}) |
|
|
