tests: moved 'FakeAI' and common functions to 'test_common.py'
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import unittest
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import argparse
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from typing import Union, Optional
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from chatmastermind.configuration import Config, AIConfig
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from chatmastermind.tags import Tag
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from chatmastermind.message import Message, Answer
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from chatmastermind.chat import Chat
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from chatmastermind.ai import AI, AIResponse, Tokens, AIError
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class FakeAI(AI):
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"""
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A mocked version of the 'AI' class.
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"""
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ID: str
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name: str
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config: AIConfig
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def models(self) -> list[str]:
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raise NotImplementedError
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def tokens(self, data: Union[Message, Chat]) -> int:
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return 123
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def print(self) -> None:
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pass
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def print_models(self) -> None:
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pass
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def __init__(self, ID: str, model: str, error: bool = False):
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self.ID = ID
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self.model = model
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self.error = error
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def request(self,
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question: Message,
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chat: Chat,
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num_answers: int = 1,
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otags: Optional[set[Tag]] = None) -> AIResponse:
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"""
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Mock the 'ai.request()' function by either returning fake
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answers or raising an exception.
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"""
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if self.error:
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raise AIError
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question.answer = Answer("Answer 0")
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question.tags = set(otags) if otags is not None else None
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question.ai = self.ID
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question.model = self.model
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answers: list[Message] = [question]
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for n in range(1, num_answers):
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answers.append(Message(question=question.question,
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answer=Answer(f"Answer {n}"),
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tags=otags,
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ai=self.ID,
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model=self.model))
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return AIResponse(answers, Tokens(10, 10, 20))
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class TestWithFakeAI(unittest.TestCase):
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"""
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Base class for all tests that need to use the FakeAI.
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"""
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def assert_messages_equal_except_file_path(self, msg1: list[Message], msg2: list[Message]) -> None:
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"""
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Compare messages using more than just Question and Answer.
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"""
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self.assertEqual(len(msg1), len(msg2))
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for m1, m2 in zip(msg1, msg2):
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# exclude the file_path, compare only Q, A and metadata
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self.assertTrue(m1.equals(m2, file_path=False, verbose=True))
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def mock_create_ai(self, args: argparse.Namespace, config: Config) -> AI:
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"""
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Mocked 'create_ai' that returns a 'FakeAI' instance.
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"""
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return FakeAI(args.AI, args.model)
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def mock_create_ai_with_error(self, args: argparse.Namespace, config: Config) -> AI:
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"""
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Mocked 'create_ai' that returns a 'FakeAI' instance.
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"""
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return FakeAI(args.AI, args.model, error=True)
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