question_cmd: added testclass for the 'question_cmd()' function

chatmastermind/commands/hist.py

@@ -15,7 +15,7 @@ def hist_cmd(args: argparse.Namespace, config: Config) -> None:
                             tags_not=args.exclude_tags,
                             question_contains=args.question,
                             answer_contains=args.answer)
-    chat = ChatDB.from_dir(Path('.'),
+    chat = ChatDB.from_dir(Path(config.cache),
                            Path(config.db),
                            mfilter=mfilter)
     chat.print(args.source_code_only,

chatmastermind/commands/question.py

@@ -112,7 +112,7 @@ def question_cmd(args: argparse.Namespace, config: Config) -> None:
     mfilter = MessageFilter(tags_or=args.or_tags if args.or_tags is not None else set(),
                             tags_and=args.and_tags if args.and_tags is not None else set(),
                             tags_not=args.exclude_tags if args.exclude_tags is not None else set())
-    chat = ChatDB.from_dir(cache_path=Path('.'),
+    chat = ChatDB.from_dir(cache_path=Path(config.cache),
                            db_path=Path(config.db),
                            mfilter=mfilter)
     # if it's a new question, create and store it immediately

chatmastermind/commands/tags.py

@@ -8,7 +8,7 @@ def tags_cmd(args: argparse.Namespace, config: Config) -> None:
     """
     Handler for the 'tags' command.
     """
-    chat = ChatDB.from_dir(cache_path=Path('.'),
+    chat = ChatDB.from_dir(cache_path=Path(config.cache),
                            db_path=Path(config.db))
     if args.list:
         tags_freq = chat.msg_tags_frequency(args.prefix, args.contain)

chatmastermind/configuration.py

@@ -116,6 +116,7 @@ class Config:
     """
     # all members have default values, so we can easily create
     # a default configuration
+    cache: str = '.'
     db: str = './db/'
     ais: dict[str, AIConfig] = field(default_factory=create_default_ai_configs)
 
@@ -132,6 +133,7 @@ class Config:
             ai_conf = ai_config_instance(conf['name'], conf)
             ais[ID] = ai_conf
         return cls(
+            cache=str(source['cache']) if 'cache' in source else '.',
             db=str(source['db']),
             ais=ais
         )

tests/test_configuration.py

@@ -57,6 +57,7 @@ class TestConfig(unittest.TestCase):
 
     def test_from_dict_should_create_config_from_dict(self) -> None:
         source_dict = {
+            'cache': '.',
             'db': './test_db/',
             'ais': {
                 'myopenai': {
@@ -73,6 +74,7 @@ class TestConfig(unittest.TestCase):
             }
         }
         config = Config.from_dict(source_dict)
+        self.assertEqual(config.cache, '.')
         self.assertEqual(config.db, './test_db/')
         self.assertEqual(len(config.ais), 1)
         self.assertEqual(config.ais['myopenai'].name, 'openai')
@@ -89,6 +91,7 @@ class TestConfig(unittest.TestCase):
 
     def test_from_file_should_load_config_from_file(self) -> None:
         source_dict = {
+            'cache': './test_cache/',
             'db': './test_db/',
             'ais': {
                 'default': {
@@ -108,6 +111,7 @@ class TestConfig(unittest.TestCase):
             yaml.dump(source_dict, f)
         config = Config.from_file(self.test_file.name)
         self.assertIsInstance(config, Config)
+        self.assertEqual(config.cache, './test_cache/')
         self.assertEqual(config.db, './test_db/')
         self.assertEqual(len(config.ais), 1)
         self.assertIsInstance(config.ais['default'], AIConfig)
@@ -115,6 +119,7 @@ class TestConfig(unittest.TestCase):
 
     def test_to_file_should_save_config_to_file(self) -> None:
         config = Config(
+            cache='./test_cache/',
             db='./test_db/',
             ais={
                 'myopenai': OpenAIConfig(
@@ -133,12 +138,14 @@ class TestConfig(unittest.TestCase):
         config.to_file(Path(self.test_file.name))
         with open(self.test_file.name, 'r') as f:
             saved_config = yaml.load(f, Loader=yaml.FullLoader)
+        self.assertEqual(saved_config['cache'], './test_cache/')
         self.assertEqual(saved_config['db'], './test_db/')
         self.assertEqual(len(saved_config['ais']), 1)
         self.assertEqual(saved_config['ais']['myopenai']['system'], 'Custom system')
 
     def test_from_file_error_unknown_ai(self) -> None:
         source_dict = {
+            'cache': './test_cache/',
             'db': './test_db/',
             'ais': {
                 'default': {

tests/test_question_cmd.py

@@ -4,11 +4,13 @@ import argparse
 import tempfile
 from pathlib import Path
 from unittest import mock
-from unittest.mock import MagicMock, call
+from unittest.mock import MagicMock, call, ANY
+from typing import Optional
 from chatmastermind.configuration import Config
 from chatmastermind.commands.question import create_message, question_cmd
+from chatmastermind.tags import Tag
 from chatmastermind.message import Message, Question, Answer
-from chatmastermind.chat import ChatDB
+from chatmastermind.chat import Chat, ChatDB
 from chatmastermind.ai import AI, AIResponse, Tokens
 
 
@@ -19,10 +21,10 @@ class TestMessageCreate(unittest.TestCase):
     """
     def setUp(self) -> None:
         # create ChatDB structure
-        self.db_path = tempfile.TemporaryDirectory()
-        self.cache_path = tempfile.TemporaryDirectory()
-        self.chat = ChatDB.from_dir(cache_path=Path(self.cache_path.name),
-                                    db_path=Path(self.db_path.name))
+        self.db_dir = tempfile.TemporaryDirectory()
+        self.cache_dir = tempfile.TemporaryDirectory()
+        self.chat = ChatDB.from_dir(cache_path=Path(self.cache_dir.name),
+                                    db_path=Path(self.db_dir.name))
         # create some messages
         self.message_text = Message(Question("What is this?"),
                                     Answer("It is pure text"))
@@ -85,10 +87,10 @@ Aaaand again some text."""
 
     def test_message_file_created(self) -> None:
         self.args.ask = ["What is this?"]
-        cache_dir_files = self.message_list(self.cache_path)
+        cache_dir_files = self.message_list(self.cache_dir)
         self.assertEqual(len(cache_dir_files), 0)
         create_message(self.chat, self.args)
-        cache_dir_files = self.message_list(self.cache_path)
+        cache_dir_files = self.message_list(self.cache_dir)
         self.assertEqual(len(cache_dir_files), 1)
         message = Message.from_file(cache_dir_files[0])
         self.assertIsInstance(message, Message)
@@ -203,10 +205,12 @@ class TestQuestionCmd(unittest.TestCase):
 
     def setUp(self) -> None:
         # create DB and cache
-        self.db_path = tempfile.TemporaryDirectory()
-        self.cache_path = tempfile.TemporaryDirectory()
+        self.db_dir = tempfile.TemporaryDirectory()
+        self.cache_dir = tempfile.TemporaryDirectory()
         # create configuration
         self.config = Config()
+        self.config.cache = self.cache_dir.name
+        self.config.db = self.db_dir.name
         # create a mock argparse.Namespace
         self.args = argparse.Namespace(
             ask=['What is the meaning of life?'],
@@ -238,36 +242,79 @@ class TestQuestionCmd(unittest.TestCase):
                        ai=args.AI,
                        model=args.model)
 
-    def response(self, args: argparse.Namespace) -> AIResponse:
+    def mock_request(self,
+                     question: Message,
+                     chat: Chat,
+                     num_answers: int = 1,
+                     otags: Optional[set[Tag]] = None) -> AIResponse:
         """
-        Create the expected AI response from the give arguments.
+        Mock the 'ai.request()' function
         """
-        input_msg = self.input_message(args)
-        response = AIResponse(messages=[], tokens=Tokens(10, 10, 20))
-        for n in range(args.num_answers):
-            response_msg = Message(input_msg.question,
-                                   Answer(f"Answer {n}"),
-                                   tags=input_msg.tags,
-                                   ai=input_msg.ai,
-                                   model=input_msg.model)
-            response.messages.append(response_msg)
-        return response
+        question.answer = Answer("Answer 0")
+        question.tags = otags
+        question.ai = 'FakeAI'
+        question.model = 'FakeModel'
+        answers: list[Message] = [question]
+        for n in range(1, num_answers):
+            answers.append(Message(question=question.question,
+                                   answer=Answer(f"Answer {n}"),
+                                   tags=otags,
+                                   ai='FakeAI',
+                                   model='FakeModel'))
+        return AIResponse(answers, Tokens(10, 10, 20))
+
+    def message_list(self, tmp_dir: tempfile.TemporaryDirectory) -> list[Path]:
+        # exclude '.next'
+        return sorted([f for f in Path(tmp_dir.name).glob('*.[ty]*')])
+
+    @mock.patch('chatmastermind.commands.question.create_ai')
+    def test_ask_single_answer(self, mock_create_ai: MagicMock) -> None:
+        """
+        Test single answer with no errors
+        """
+        # create a mock AI instance
+        ai = MagicMock(spec=AI)
+        ai.request.side_effect = self.mock_request
+        mock_create_ai.return_value = ai
+        expected_question = self.input_message(self.args)
+        expected_responses = self.mock_request(expected_question,
+                                               Chat([]),
+                                               self.args.num_answers,
+                                               self.args.output_tags).messages
+
+        # execute the command
+        question_cmd(self.args, self.config)
+
+        # check for correct request call
+        ai.request.assert_called_once_with(expected_question,
+                                           ANY,
+                                           self.args.num_answers,
+                                           self.args.output_tags)
+        # check for the expected message files
+        chat = ChatDB.from_dir(Path(self.cache_dir.name),
+                               Path(self.db_dir.name))
+        cached_msg = chat.msg_gather(loc='cache')
+        self.assertEqual(len(self.message_list(self.cache_dir)), 1)
+        self.assertSequenceEqual(cached_msg, expected_responses)
 
     @mock.patch('chatmastermind.commands.question.ChatDB.from_dir')
     @mock.patch('chatmastermind.commands.question.create_ai')
-    def test_ask_single_answer(self, mock_create_ai: MagicMock, mock_from_dir: MagicMock) -> None:
-
-        # FIXME: this mock is only neccessary because the cache dir is not
-        # configurable in the configuration file
+    def test_ask_single_answer_mocked(self, mock_create_ai: MagicMock, mock_from_dir: MagicMock) -> None:
+        """
+        Test single answer with no errors (mocked ChatDB version)
+        """
         chat = MagicMock(spec=ChatDB)
         mock_from_dir.return_value = chat
 
         # create a mock AI instance
         ai = MagicMock(spec=AI)
-        ai.request.return_value = self.response(self.args)
+        ai.request.side_effect = self.mock_request
         mock_create_ai.return_value = ai
         expected_question = self.input_message(self.args)
-        expected_responses = ai.request.return_value.messages
+        expected_responses = self.mock_request(expected_question,
+                                               Chat([]),
+                                               self.args.num_answers,
+                                               self.args.output_tags).messages
 
         # execute the command
         question_cmd(self.args, self.config)