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4.35 kB
| # SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai> | |
| # | |
| # SPDX-License-Identifier: Apache-2.0 | |
| 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", | |
| } | |
| 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" | |
| 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")] | |
| # could be any tokenizer, let's use the one we already likely have in cache | |
| 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"}) | |