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

@@ -1,3 +1,4 @@
+import sys
 import argparse
 from pathlib import Path
 from itertools import zip_longest
@@ -51,7 +52,7 @@ def add_file_as_code(question_parts: list[str], file: str) -> None:
 
 def create_message(chat: ChatDB, args: argparse.Namespace) -> Message:
     """
-    Creates a new message from the given arguments and writes it
+    Create a new message from the given arguments and write it
     to the cache directory.
     """
     question_parts = []
@@ -73,10 +74,37 @@ def create_message(chat: ChatDB, args: argparse.Namespace) -> Message:
                       tags=args.output_tags,  # FIXME
                       ai=args.AI,
                       model=args.model)
-    chat.cache_add([message])
+    # only write the new message to the cache,
+    # don't add it to the internal list
+    chat.cache_write([message])
     return message
 
 
+def make_request(ai: AI, chat: ChatDB, message: Message, args: argparse.Namespace) -> None:
+    """
+    Make an AI request with the given AI, chat history, message and arguments.
+    Write the response(s) to the cache directory, without appending it to the
+    given chat history. Then print the response(s).
+    """
+    # print history and message question before making the request
+    ai.print()
+    chat.print(paged=False)
+    print(message.to_str())
+    response: AIResponse = ai.request(message,
+                                      chat,
+                                      args.num_answers,  # FIXME
+                                      args.output_tags)  # FIXME
+    # only write the response messages to the cache,
+    # don't add them to the internal list
+    chat.cache_write(response.messages)
+    for idx, msg in enumerate(response.messages):
+        print(f"=== ANSWER {idx+1} ===")
+        print(msg.answer)
+    if response.tokens:
+        print("===============")
+        print(response.tokens)
+
+
 def question_cmd(args: argparse.Namespace, config: Config) -> None:
     """
     Handler for the 'question' command.
@@ -84,7 +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
@@ -95,28 +123,29 @@ def question_cmd(args: argparse.Namespace, config: Config) -> None:
 
     # create the correct AI instance
     ai: AI = create_ai(args, config)
+
+    # === ASK ===
     if args.ask:
-        ai.print()
+        make_request(ai, chat, message, args)
-        chat.print(paged=False)
+    # === REPEAT ===
-        response: AIResponse = ai.request(message,
-                                          chat,
-                                          args.num_answers,  # FIXME
-                                          args.output_tags)  # FIXME
-        chat.msg_update([response.messages[0]])
-        chat.cache_add(response.messages[1:])
-        for idx, msg in enumerate(response.messages):
-            print(f"=== ANSWER {idx+1} ===")
-            print(msg.answer)
-        if response.tokens:
-            print("===============")
-            print(response.tokens)
     elif args.repeat is not None:
-        lmessage = chat.msg_latest()
+        lmessage = chat.msg_latest(loc='cache')
-        assert lmessage
+        if lmessage is None:
-        # TODO: repeat either the last question or the
+            print("No message found to repeat!")
-        # one(s) given in 'args.repeat' (overwrite
+            sys.exit(1)
-        # existing ones if 'args.overwrite' is True)
+        else:
-        pass
+            print(f"Repeating message '{lmessage.msg_id()}':")
+        # overwrite the latest message if requested or empty
+        if lmessage.answer is None or args.overwrite is True:
+            lmessage.clear_answer()
+            make_request(ai, chat, lmessage, args)
+        # otherwise create a new one
+        else:
+            args.ask = [lmessage.question]
+            message = create_message(chat, args)
+            make_request(ai, chat, message, args)
+
+    # === PROCESS ===
     elif args.process is not None:
         # TODO: process either all questions without an
         # answer or the one(s) given in 'args.process'

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
         )

chatmastermind/message.py

@@ -540,6 +540,9 @@ class Message():
         if self.tags:
             self.tags = rename_tags(self.tags, tags_rename)
 
+    def clear_answer(self) -> None:
+        self.answer = None
+
     def msg_id(self) -> str:
         """
         Returns an ID that is unique throughout all messages in the same (DB) directory.

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

@@ -3,10 +3,15 @@ import unittest
 import argparse
 import tempfile
 from pathlib import Path
-from unittest.mock import MagicMock
+from unittest import mock
-from chatmastermind.commands.question import create_message
+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
 
 
 class TestMessageCreate(unittest.TestCase):
@@ -16,10 +21,10 @@ class TestMessageCreate(unittest.TestCase):
     """
     def setUp(self) -> None:
         # create ChatDB structure
-        self.db_path = tempfile.TemporaryDirectory()
+        self.db_dir = tempfile.TemporaryDirectory()
-        self.cache_path = tempfile.TemporaryDirectory()
+        self.cache_dir = tempfile.TemporaryDirectory()
-        self.chat = ChatDB.from_dir(cache_path=Path(self.cache_path.name),
+        self.chat = ChatDB.from_dir(cache_path=Path(self.cache_dir.name),
-                                    db_path=Path(self.db_path.name))
+                                    db_path=Path(self.db_dir.name))
         # create some messages
         self.message_text = Message(Question("What is this?"),
                                     Answer("It is pure text"))
@@ -74,6 +79,7 @@ Aaaand again some text."""
         os.remove(self.source_file1.name)
         os.remove(self.source_file2.name)
         os.remove(self.source_file3.name)
+        os.remove(self.source_file4.name)
 
     def message_list(self, tmp_dir: tempfile.TemporaryDirectory) -> list[Path]:
         # exclude '.next'
@@ -81,10 +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)
@@ -193,3 +199,138 @@ This is embedded source code.
 It is embedded code
 ```
 """))
+
+
+class TestQuestionCmd(unittest.TestCase):
+
+    def setUp(self) -> None:
+        # create DB and cache
+        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?'],
+            num_answers=1,
+            output_tags=['science'],
+            AI='openai',
+            model='gpt-3.5-turbo',
+            or_tags=None,
+            and_tags=None,
+            exclude_tags=None,
+            source_text=None,
+            source_code=None,
+            create=None,
+            repeat=None,
+            process=None
+        )
+
+    def input_message(self, args: argparse.Namespace) -> Message:
+        """
+        Create the expected input message for a question using the
+        given arguments.
+        """
+        # NOTE: we only use the first question from the "ask" list
+        # -> message creation using "question.create_message()" is
+        #    tested above
+        # the answer is always empty for the input message
+        return Message(Question(args.ask[0]),
+                       tags=args.output_tags,
+                       ai=args.AI,
+                       model=args.model)
+
+    def mock_request(self,
+                     question: Message,
+                     chat: Chat,
+                     num_answers: int = 1,
+                     otags: Optional[set[Tag]] = None) -> AIResponse:
+        """
+        Mock the 'ai.request()' function
+        """
+        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_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.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,
+                                           chat,
+                                           self.args.num_answers,
+                                           self.args.output_tags)
+
+        # check for the correct ChatDB calls:
+        # - initial question has been written (prior to the actual request)
+        # - responses have been written (after the request)
+        chat.cache_write.assert_has_calls([call([expected_question]),
+                                           call(expected_responses)],
+                                          any_order=False)
+
+        # check that the messages have not been added to the internal message list
+        chat.cache_add.assert_not_called()