test_question_cmd: introduced 'FakeAI' class
This commit is contained in:
+163
-136
@@ -4,9 +4,9 @@ import argparse
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import tempfile
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import tempfile
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from pathlib import Path
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from pathlib import Path
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from unittest import mock
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from unittest import mock
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from unittest.mock import MagicMock, call, ANY
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from unittest.mock import MagicMock, call
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from typing import Optional
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from typing import Optional, Union
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from chatmastermind.configuration import Config
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from chatmastermind.configuration import Config, AIConfig
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from chatmastermind.commands.question import create_message, question_cmd
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from chatmastermind.commands.question import create_message, question_cmd
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from chatmastermind.tags import Tag
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from chatmastermind.tags import Tag
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from chatmastermind.message import Message, Question, Answer
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from chatmastermind.message import Message, Question, Answer
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@@ -14,6 +14,56 @@ from chatmastermind.chat import Chat, ChatDB
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from chatmastermind.ai import AI, AIResponse, Tokens, AIError
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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 TestQuestionCmdBase(unittest.TestCase):
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class TestQuestionCmdBase(unittest.TestCase):
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def assert_messages_equal(self, msg1: list[Message], msg2: list[Message]) -> None:
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def assert_messages_equal(self, msg1: list[Message], msg2: list[Message]) -> None:
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"""
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"""
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@@ -24,6 +74,18 @@ class TestQuestionCmdBase(unittest.TestCase):
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# exclude the file_path, compare only Q, A and metadata
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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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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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class TestMessageCreate(TestQuestionCmdBase):
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class TestMessageCreate(TestQuestionCmdBase):
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"""
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"""
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@@ -227,8 +289,8 @@ class TestQuestionCmd(TestQuestionCmdBase):
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ask=['What is the meaning of life?'],
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ask=['What is the meaning of life?'],
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num_answers=1,
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num_answers=1,
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output_tags=['science'],
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output_tags=['science'],
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AI='openai',
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AI='FakeAI',
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model='gpt-3.5-turbo',
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model='FakeModel',
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or_tags=None,
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or_tags=None,
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and_tags=None,
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and_tags=None,
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exclude_tags=None,
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exclude_tags=None,
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@@ -239,9 +301,39 @@ class TestQuestionCmd(TestQuestionCmdBase):
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process=None,
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process=None,
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overwrite=None
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overwrite=None
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)
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)
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# create a mock AI instance
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self.ai = MagicMock(spec=AI)
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def create_single_message(self, args: argparse.Namespace, with_answer: bool = True) -> Message:
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self.ai.request.side_effect = self.mock_request
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message = Message(Question(args.ask[0]),
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tags=set(args.output_tags) if args.output_tags is not None else None,
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ai=args.AI,
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model=args.model,
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file_path=Path(self.cache_dir.name) / '0001.txt')
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if with_answer:
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message.answer = Answer('Answer 0')
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message.to_file()
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return message
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def create_multiple_messages(self) -> list[Message]:
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# cached message without an answer
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message1 = Message(Question('Question 1'),
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ai='foo',
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model='bla',
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file_path=Path(self.cache_dir.name) / '0001.txt')
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# cached message with an answer
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message2 = Message(Question('Question 2'),
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Answer('Answer 0'),
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ai='openai',
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model='gpt-3.5-turbo',
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file_path=Path(self.cache_dir.name) / '0002.txt')
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# DB message without an answer
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message3 = Message(Question('Question 3'),
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ai='openai',
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model='gpt-3.5-turbo',
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file_path=Path(self.db_dir.name) / '0003.txt')
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message1.to_file()
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message2.to_file()
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message3.to_file()
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return [message1, message2, message3]
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def input_message(self, args: argparse.Namespace) -> Message:
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def input_message(self, args: argparse.Namespace) -> Message:
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"""
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"""
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@@ -257,27 +349,6 @@ class TestQuestionCmd(TestQuestionCmdBase):
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ai=args.AI,
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ai=args.AI,
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model=args.model)
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model=args.model)
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def mock_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
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"""
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question.answer = Answer("Answer 0")
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question.tags = set(otags) if otags else None
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question.ai = 'FakeAI'
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question.model = 'FakeModel'
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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='FakeAI',
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model='FakeModel'))
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return AIResponse(answers, Tokens(10, 10, 20))
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def message_list(self, tmp_dir: tempfile.TemporaryDirectory) -> list[Path]:
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def message_list(self, tmp_dir: tempfile.TemporaryDirectory) -> list[Path]:
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# exclude '.next'
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# exclude '.next'
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return sorted([f for f in Path(tmp_dir.name).glob('*.[ty]*')])
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return sorted([f for f in Path(tmp_dir.name).glob('*.[ty]*')])
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@@ -290,21 +361,17 @@ class TestQuestionCmdAsk(TestQuestionCmd):
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"""
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"""
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Test single answer with no errors.
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Test single answer with no errors.
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"""
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"""
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mock_create_ai.return_value = self.ai
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mock_create_ai.side_effect = self.mock_create_ai
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expected_question = self.input_message(self.args)
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expected_question = self.input_message(self.args)
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expected_responses = self.mock_request(expected_question,
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fake_ai = self.mock_create_ai(self.args, self.config)
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Chat([]),
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expected_responses = fake_ai.request(expected_question,
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self.args.num_answers,
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Chat([]),
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self.args.output_tags).messages
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self.args.num_answers,
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self.args.output_tags).messages
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# execute the command
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# execute the command
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question_cmd(self.args, self.config)
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question_cmd(self.args, self.config)
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# check for correct request call
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self.ai.request.assert_called_once_with(expected_question,
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ANY,
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self.args.num_answers,
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self.args.output_tags)
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# check for the expected message files
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# check for the expected message files
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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Path(self.db_dir.name))
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Path(self.db_dir.name))
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@@ -321,22 +388,17 @@ class TestQuestionCmdAsk(TestQuestionCmd):
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chat = MagicMock(spec=ChatDB)
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chat = MagicMock(spec=ChatDB)
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mock_from_dir.return_value = chat
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mock_from_dir.return_value = chat
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mock_create_ai.return_value = self.ai
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mock_create_ai.side_effect = self.mock_create_ai
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expected_question = self.input_message(self.args)
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expected_question = self.input_message(self.args)
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expected_responses = self.mock_request(expected_question,
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fake_ai = self.mock_create_ai(self.args, self.config)
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Chat([]),
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expected_responses = fake_ai.request(expected_question,
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self.args.num_answers,
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Chat([]),
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self.args.output_tags).messages
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self.args.num_answers,
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self.args.output_tags).messages
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# execute the command
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# execute the command
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question_cmd(self.args, self.config)
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question_cmd(self.args, self.config)
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# check for correct request call
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self.ai.request.assert_called_once_with(expected_question,
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chat,
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self.args.num_answers,
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self.args.output_tags)
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# check for the correct ChatDB calls:
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# check for the correct ChatDB calls:
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# - initial question has been written (prior to the actual request)
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# - initial question has been written (prior to the actual request)
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# - responses have been written (after the request)
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# - responses have been written (after the request)
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@@ -353,19 +415,13 @@ class TestQuestionCmdAsk(TestQuestionCmd):
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Provoke an error during the AI request and verify that the question
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Provoke an error during the AI request and verify that the question
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has been correctly stored in the cache.
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has been correctly stored in the cache.
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"""
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"""
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mock_create_ai.return_value = self.ai
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mock_create_ai.side_effect = self.mock_create_ai_with_error
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expected_question = self.input_message(self.args)
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expected_question = self.input_message(self.args)
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self.ai.request.side_effect = AIError
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# execute the command
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# execute the command
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with self.assertRaises(AIError):
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with self.assertRaises(AIError):
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question_cmd(self.args, self.config)
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question_cmd(self.args, self.config)
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# check for correct request call
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self.ai.request.assert_called_once_with(expected_question,
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ANY,
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self.args.num_answers,
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self.args.output_tags)
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# check for the expected message files
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# check for the expected message files
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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Path(self.db_dir.name))
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Path(self.db_dir.name))
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@@ -381,28 +437,27 @@ class TestQuestionCmdRepeat(TestQuestionCmd):
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"""
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"""
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Repeat a single question.
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Repeat a single question.
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"""
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"""
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# 1. ask a question
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mock_create_ai.side_effect = self.mock_create_ai
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mock_create_ai.return_value = self.ai
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# create a message
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expected_question = self.input_message(self.args)
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message = self.create_single_message(self.args)
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expected_responses = self.mock_request(expected_question,
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Chat([]),
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# repeat the last question (without overwriting)
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self.args.num_answers,
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# -> expect two identical messages (except for the file_path)
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self.args.output_tags).messages
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self.args.ask = None
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self.args.repeat = []
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self.args.output_tags = []
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self.args.overwrite = False
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fake_ai = self.mock_create_ai(self.args, self.config)
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expected_response = fake_ai.request(message,
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Chat([]),
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self.args.num_answers,
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set(self.args.output_tags)).messages
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expected_responses = expected_response + expected_response
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question_cmd(self.args, self.config)
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question_cmd(self.args, self.config)
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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Path(self.db_dir.name))
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Path(self.db_dir.name))
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cached_msg = chat.msg_gather(loc='cache')
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cached_msg = chat.msg_gather(loc='cache')
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self.assertEqual(len(self.message_list(self.cache_dir)), 1)
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print(self.message_list(self.cache_dir))
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self.assert_messages_equal(cached_msg, expected_responses)
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# 2. repeat the last question (without overwriting)
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# -> expect two identical messages (except for the file_path)
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self.args.ask = None
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self.args.repeat = []
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self.args.overwrite = False
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expected_responses += expected_responses
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question_cmd(self.args, self.config)
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cached_msg = chat.msg_gather(loc='cache')
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self.assertEqual(len(self.message_list(self.cache_dir)), 2)
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self.assertEqual(len(self.message_list(self.cache_dir)), 2)
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self.assert_messages_equal(cached_msg, expected_responses)
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self.assert_messages_equal(cached_msg, expected_responses)
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@@ -411,31 +466,29 @@ class TestQuestionCmdRepeat(TestQuestionCmd):
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"""
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"""
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Repeat a single question and overwrite the old one.
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Repeat a single question and overwrite the old one.
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"""
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"""
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# 1. ask a question
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mock_create_ai.side_effect = self.mock_create_ai
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mock_create_ai.return_value = self.ai
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# create a message
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expected_question = self.input_message(self.args)
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message = self.create_single_message(self.args)
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expected_responses = self.mock_request(expected_question,
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Chat([]),
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self.args.num_answers,
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self.args.output_tags).messages
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question_cmd(self.args, self.config)
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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chat = ChatDB.from_dir(Path(self.cache_dir.name),
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Path(self.db_dir.name))
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Path(self.db_dir.name))
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cached_msg = chat.msg_gather(loc='cache')
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cached_msg = chat.msg_gather(loc='cache')
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assert cached_msg[0].file_path
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assert cached_msg[0].file_path
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cached_msg_file_id = cached_msg[0].file_path.stem
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cached_msg_file_id = cached_msg[0].file_path.stem
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self.assertEqual(len(self.message_list(self.cache_dir)), 1)
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self.assert_messages_equal(cached_msg, expected_responses)
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# 2. repeat the last question (WITH overwriting)
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# repeat the last question (WITH overwriting)
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# -> expect a single message afterwards
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# -> expect a single message afterwards
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self.args.ask = None
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self.args.ask = None
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self.args.repeat = []
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self.args.repeat = []
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self.args.overwrite = True
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self.args.overwrite = True
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fake_ai = self.mock_create_ai(self.args, self.config)
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expected_response = fake_ai.request(message,
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Chat([]),
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self.args.num_answers,
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set(self.args.output_tags)).messages
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question_cmd(self.args, self.config)
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question_cmd(self.args, self.config)
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cached_msg = chat.msg_gather(loc='cache')
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cached_msg = chat.msg_gather(loc='cache')
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self.assertEqual(len(self.message_list(self.cache_dir)), 1)
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self.assertEqual(len(self.message_list(self.cache_dir)), 1)
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self.assert_messages_equal(cached_msg, expected_responses)
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self.assert_messages_equal(cached_msg, expected_response)
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# also check that the file ID has not been changed
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# also check that the file ID has not been changed
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assert cached_msg[0].file_path
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assert cached_msg[0].file_path
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self.assertEqual(cached_msg_file_id, cached_msg[0].file_path.stem)
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self.assertEqual(cached_msg_file_id, cached_msg[0].file_path.stem)
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@@ -445,35 +498,31 @@ class TestQuestionCmdRepeat(TestQuestionCmd):
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"""
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"""
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Repeat a single question after an error.
|
Repeat a single question after an error.
|
||||||
"""
|
"""
|
||||||
# 1. ask a question and provoke an error
|
mock_create_ai.side_effect = self.mock_create_ai
|
||||||
mock_create_ai.return_value = self.ai
|
# create a question WITHOUT an answer
|
||||||
expected_question = self.input_message(self.args)
|
# -> just like after an error, which is tested above
|
||||||
self.ai.request.side_effect = AIError
|
question = self.create_single_message(self.args, with_answer=False)
|
||||||
with self.assertRaises(AIError):
|
|
||||||
question_cmd(self.args, self.config)
|
|
||||||
chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
||||||
Path(self.db_dir.name))
|
Path(self.db_dir.name))
|
||||||
cached_msg = chat.msg_gather(loc='cache')
|
cached_msg = chat.msg_gather(loc='cache')
|
||||||
assert cached_msg[0].file_path
|
assert cached_msg[0].file_path
|
||||||
cached_msg_file_id = cached_msg[0].file_path.stem
|
cached_msg_file_id = cached_msg[0].file_path.stem
|
||||||
self.assertEqual(len(self.message_list(self.cache_dir)), 1)
|
|
||||||
self.assert_messages_equal(cached_msg, [expected_question])
|
|
||||||
|
|
||||||
# 2. repeat the last question (without overwriting)
|
# repeat the last question (without overwriting)
|
||||||
# -> expect a single message because if the original has
|
# -> expect a single message because if the original has
|
||||||
# no answer, it should be overwritten by default
|
# no answer, it should be overwritten by default
|
||||||
self.args.ask = None
|
self.args.ask = None
|
||||||
self.args.repeat = []
|
self.args.repeat = []
|
||||||
self.args.overwrite = False
|
self.args.overwrite = False
|
||||||
self.ai.request.side_effect = self.mock_request
|
fake_ai = self.mock_create_ai(self.args, self.config)
|
||||||
expected_responses = self.mock_request(expected_question,
|
expected_response = fake_ai.request(question,
|
||||||
Chat([]),
|
Chat([]),
|
||||||
self.args.num_answers,
|
self.args.num_answers,
|
||||||
self.args.output_tags).messages
|
self.args.output_tags).messages
|
||||||
question_cmd(self.args, self.config)
|
question_cmd(self.args, self.config)
|
||||||
cached_msg = chat.msg_gather(loc='cache')
|
cached_msg = chat.msg_gather(loc='cache')
|
||||||
self.assertEqual(len(self.message_list(self.cache_dir)), 1)
|
self.assertEqual(len(self.message_list(self.cache_dir)), 1)
|
||||||
self.assert_messages_equal(cached_msg, expected_responses)
|
self.assert_messages_equal(cached_msg, expected_response)
|
||||||
# also check that the file ID has not been changed
|
# also check that the file ID has not been changed
|
||||||
assert cached_msg[0].file_path
|
assert cached_msg[0].file_path
|
||||||
self.assertEqual(cached_msg_file_id, cached_msg[0].file_path.stem)
|
self.assertEqual(cached_msg_file_id, cached_msg[0].file_path.stem)
|
||||||
@@ -483,21 +532,15 @@ class TestQuestionCmdRepeat(TestQuestionCmd):
|
|||||||
"""
|
"""
|
||||||
Repeat a single question with new arguments.
|
Repeat a single question with new arguments.
|
||||||
"""
|
"""
|
||||||
# 1. ask a question
|
mock_create_ai.side_effect = self.mock_create_ai
|
||||||
mock_create_ai.return_value = self.ai
|
# create a message
|
||||||
expected_question = self.input_message(self.args)
|
message = self.create_single_message(self.args)
|
||||||
expected_responses = self.mock_request(expected_question,
|
|
||||||
Chat([]),
|
|
||||||
self.args.num_answers,
|
|
||||||
self.args.output_tags).messages
|
|
||||||
question_cmd(self.args, self.config)
|
|
||||||
chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
||||||
Path(self.db_dir.name))
|
Path(self.db_dir.name))
|
||||||
cached_msg = chat.msg_gather(loc='cache')
|
cached_msg = chat.msg_gather(loc='cache')
|
||||||
self.assertEqual(len(self.message_list(self.cache_dir)), 1)
|
assert cached_msg[0].file_path
|
||||||
self.assert_messages_equal(cached_msg, expected_responses)
|
|
||||||
|
|
||||||
# 2. repeat the last question with new arguments (without overwriting)
|
# repeat the last question with new arguments (without overwriting)
|
||||||
# -> expect two messages with identical question and answer, but different metadata
|
# -> expect two messages with identical question and answer, but different metadata
|
||||||
self.args.ask = None
|
self.args.ask = None
|
||||||
self.args.repeat = []
|
self.args.repeat = []
|
||||||
@@ -505,44 +548,28 @@ class TestQuestionCmdRepeat(TestQuestionCmd):
|
|||||||
self.args.output_tags = ['newtag']
|
self.args.output_tags = ['newtag']
|
||||||
self.args.AI = 'newai'
|
self.args.AI = 'newai'
|
||||||
self.args.model = 'newmodel'
|
self.args.model = 'newmodel'
|
||||||
new_expected_question = Message(question=Question(expected_question.question),
|
new_expected_question = Message(question=Question(message.question),
|
||||||
tags=set(self.args.output_tags),
|
tags=set(self.args.output_tags),
|
||||||
ai=self.args.AI,
|
ai=self.args.AI,
|
||||||
model=self.args.model)
|
model=self.args.model)
|
||||||
expected_responses += self.mock_request(new_expected_question,
|
fake_ai = self.mock_create_ai(self.args, self.config)
|
||||||
|
new_expected_response = fake_ai.request(new_expected_question,
|
||||||
Chat([]),
|
Chat([]),
|
||||||
self.args.num_answers,
|
self.args.num_answers,
|
||||||
set(self.args.output_tags)).messages
|
set(self.args.output_tags)).messages
|
||||||
question_cmd(self.args, self.config)
|
question_cmd(self.args, self.config)
|
||||||
cached_msg = chat.msg_gather(loc='cache')
|
cached_msg = chat.msg_gather(loc='cache')
|
||||||
self.assertEqual(len(self.message_list(self.cache_dir)), 2)
|
self.assertEqual(len(self.message_list(self.cache_dir)), 2)
|
||||||
self.assert_messages_equal(cached_msg, expected_responses)
|
self.assert_messages_equal(cached_msg, [message] + new_expected_response)
|
||||||
|
print(cached_msg)
|
||||||
|
print(message)
|
||||||
|
print(new_expected_question)
|
||||||
|
|
||||||
@mock.patch('chatmastermind.commands.question.create_ai')
|
@mock.patch('chatmastermind.commands.question.create_ai')
|
||||||
def test_repeat_multiple_questions(self, mock_create_ai: MagicMock) -> None:
|
def test_repeat_multiple_questions(self, mock_create_ai: MagicMock) -> None:
|
||||||
"""
|
"""
|
||||||
Repeat multiple questions.
|
Repeat multiple questions.
|
||||||
"""
|
"""
|
||||||
# 1. create some questions / messages
|
|
||||||
# cached message without an answer
|
|
||||||
message1 = Message(Question('Question 1'),
|
|
||||||
ai='foo',
|
|
||||||
model='bla',
|
|
||||||
file_path=Path(self.cache_dir.name) / '0001.txt')
|
|
||||||
# cached message with an answer
|
|
||||||
message2 = Message(Question('Question 2'),
|
|
||||||
Answer('Answer 2'),
|
|
||||||
ai='openai',
|
|
||||||
model='gpt-3.5-turbo',
|
|
||||||
file_path=Path(self.cache_dir.name) / '0002.txt')
|
|
||||||
# DB message without an answer
|
|
||||||
message3 = Message(Question('Question 3'),
|
|
||||||
ai='openai',
|
|
||||||
model='gpt-3.5-turbo',
|
|
||||||
file_path=Path(self.db_dir.name) / '0003.txt')
|
|
||||||
message1.to_file()
|
|
||||||
message2.to_file()
|
|
||||||
message3.to_file()
|
|
||||||
# chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
# chat = ChatDB.from_dir(Path(self.cache_dir.name),
|
||||||
# Path(self.db_dir.name))
|
# Path(self.db_dir.name))
|
||||||
|
|
||||||
|
|||||||
Reference in New Issue
Block a user