question_cmd: tag options without a tag (e. g. '-t') now select ALL tags

Reviewed-on: #14

chatmastermind/ai_factory.py

@@ -3,18 +3,20 @@ Creates different AI instances, based on the given configuration.
 """
 
 import argparse
-from typing import cast
+from typing import cast, Optional
 from .configuration import Config, AIConfig, OpenAIConfig
 from .ai import AI, AIError
 from .ais.openai import OpenAI
 
 
-def create_ai(args: argparse.Namespace, config: Config) -> AI:  # noqa: 11
+def create_ai(args: argparse.Namespace, config: Config,  # noqa: 11
+              def_ai: Optional[str] = None,
+              def_model: Optional[str] = None) -> AI:
     """
-    Creates an AI subclass instance from the given arguments
-    and configuration file. If AI has not been set in the
-    arguments, it searches for the ID 'default'. If that
-    is not found, it uses the first AI in the list.
+    Creates an AI subclass instance from the given arguments and configuration file.
+    If AI has not been set in the arguments, it searches for the ID 'default'. If
+    that is not found, it uses the first AI in the list. It's also possible to
+    specify a default AI and model using 'def_ai' and 'def_model'.
     """
     ai_conf: AIConfig
     if hasattr(args, 'AI') and args.AI:
@@ -22,6 +24,8 @@ def create_ai(args: argparse.Namespace, config: Config) -> AI:  # noqa: 11
             ai_conf = config.ais[args.AI]
         except KeyError:
             raise AIError(f"AI ID '{args.AI}' does not exist in this configuration")
+    elif def_ai:
+        ai_conf = config.ais[def_ai]
     elif 'default' in config.ais:
         ai_conf = config.ais['default']
     else:
@@ -34,6 +38,8 @@ def create_ai(args: argparse.Namespace, config: Config) -> AI:  # noqa: 11
         ai = OpenAI(cast(OpenAIConfig, ai_conf))
         if hasattr(args, 'model') and args.model:
             ai.config.model = args.model
+        elif def_model:
+            ai.config.model = def_model
         if hasattr(args, 'max_tokens') and args.max_tokens:
             ai.config.max_tokens = args.max_tokens
         if hasattr(args, 'temperature') and args.temperature:

chatmastermind/commands/question.py

@@ -2,6 +2,7 @@ import sys
 import argparse
 from pathlib import Path
 from itertools import zip_longest
+from copy import deepcopy
 from ..configuration import Config
 from ..chat import ChatDB
 from ..message import Message, MessageFilter, MessageError, Question, source_code
@@ -105,13 +106,79 @@ def make_request(ai: AI, chat: ChatDB, message: Message, args: argparse.Namespac
         print(response.tokens)
 
 
+def make_msg_args(msg: Message, args: argparse.Namespace) -> argparse.Namespace:
+    """
+    Takes an existing message and CLI arguments, and returns modified args based
+    on the members of the given message. Used e.g. when repeating messages, where
+    it's necessary to determine the correct AI, module and output tags to use
+    (either from the existing message or the given args).
+    """
+    msg_args = args
+    # if AI, model or output tags have not been specified,
+    # use those from the original message
+    if (args.AI is None
+       or args.model is None  # noqa: W503
+       or args.output_tags is None  # noqa: W503
+       or len(args.output_tags) == 0):  # noqa: W503
+        msg_args = deepcopy(args)
+        if args.AI is None and msg.ai is not None:
+            msg_args.AI = msg.ai
+        if args.model is None and msg.model is not None:
+            msg_args.model = msg.model
+        if args.output_tags is None and msg.tags is not None:
+            msg_args.output_tags = msg.tags
+    return msg_args
+
+
+def repeat_messages(messages: list[Message], chat: ChatDB, args: argparse.Namespace, config: Config) -> None:
+    """
+    Repeat the given messages using the given arguments.
+    """
+    ai: AI
+    for msg in messages:
+        ai = create_ai(make_msg_args(msg, args), config)
+        print(f"--------- Repeating message '{msg.msg_id()}': ---------")
+        # overwrite the latest message if requested or empty
+        # -> but not if it's in the DB!
+        if ((msg.answer is None or args.overwrite is True)
+           and (not chat.msg_in_db(msg))):  # noqa: W503
+            msg.clear_answer()
+            make_request(ai, chat, msg, args)
+        # otherwise create a new one
+        else:
+            args.ask = [msg.question]
+            message = create_message(chat, args)
+            make_request(ai, chat, message, args)
+
+
+def modify_tag_args(args: argparse.Namespace) -> None:
+    """
+    Changes the semantics of the INPUT tags for this command:
+    * not tags specified on the CLI -> no tags are selected
+    * empty tags specified on the CLI -> all tags are selected
+    """
+    if args.or_tags is None:
+        args.or_tags = set()
+    elif len(args.or_tags) == 0:
+        args.or_tags = None
+    if args.and_tags is None:
+        args.and_tags = set()
+    elif len(args.and_tags) == 0:
+        args.and_tags = None
+    if args.exclude_tags is None:
+        args.exclude_tags = set()
+    elif len(args.exclude_tags) == 0:
+        args.exclude_tags = None
+
+
 def question_cmd(args: argparse.Namespace, config: Config) -> None:
     """
     Handler for the 'question' command.
     """
-    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())
+    modify_tag_args(args)
+    mfilter = MessageFilter(tags_or=args.or_tags,
+                            tags_and=args.and_tags,
+                            tags_not=args.exclude_tags)
     chat = ChatDB.from_dir(cache_path=Path(config.cache),
                            db_path=Path(config.db),
                            mfilter=mfilter)
@@ -121,30 +188,24 @@ def question_cmd(args: argparse.Namespace, config: Config) -> None:
     if args.create:
         return
 
-    # create the correct AI instance
-    ai: AI = create_ai(args, config)
-
     # === ASK ===
     if args.ask:
+        ai: AI = create_ai(args, config)
         make_request(ai, chat, message, args)
     # === REPEAT ===
     elif args.repeat is not None:
+        repeat_msgs: list[Message] = []
+        # repeat latest message
+        if len(args.repeat) == 0:
             lmessage = chat.msg_latest(loc='cache')
             if lmessage is None:
                 print("No message found to repeat!")
                 sys.exit(1)
+            repeat_msgs.append(lmessage)
+        # repeat given message(s)
         else:
-            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)
-
+            repeat_msgs = chat.msg_find(args.repeat, loc='disk')
+        repeat_messages(repeat_msgs, chat, args, config)
     # === PROCESS ===
     elif args.process is not None:
         # TODO: process either all questions without an

chatmastermind/main.py

@@ -34,13 +34,13 @@ def create_parser() -> argparse.ArgumentParser:
 
     # a parent parser for all commands that support tag selection
     tag_parser = argparse.ArgumentParser(add_help=False)
-    tag_arg = tag_parser.add_argument('-t', '--or-tags', nargs='+',
+    tag_arg = tag_parser.add_argument('-t', '--or-tags', nargs='*',
                                       help='List of tags (one must match)', metavar='OTAGS')
     tag_arg.completer = tags_completer  # type: ignore
-    atag_arg = tag_parser.add_argument('-k', '--and-tags', nargs='+',
+    atag_arg = tag_parser.add_argument('-k', '--and-tags', nargs='*',
                                        help='List of tags (all must match)', metavar='ATAGS')
     atag_arg.completer = tags_completer  # type: ignore
-    etag_arg = tag_parser.add_argument('-x', '--exclude-tags', nargs='+',
+    etag_arg = tag_parser.add_argument('-x', '--exclude-tags', nargs='*',
                                        help='List of tags to exclude', metavar='XTAGS')
     etag_arg.completer = tags_completer  # type: ignore
     otag_arg = tag_parser.add_argument('-o', '--output-tags', nargs='+',

tests/test_question_cmd.py

@@ -282,6 +282,9 @@ class TestQuestionCmd(TestQuestionCmdBase):
         # exclude '.next'
         return sorted([f for f in Path(tmp_dir.name).glob('*.[ty]*')])
 
+
+class TestQuestionCmdAsk(TestQuestionCmd):
+
     @mock.patch('chatmastermind.commands.question.create_ai')
     def test_ask_single_answer(self, mock_create_ai: MagicMock) -> None:
         """
@@ -370,6 +373,9 @@ class TestQuestionCmd(TestQuestionCmdBase):
         self.assertEqual(len(self.message_list(self.cache_dir)), 1)
         self.assert_messages_equal(cached_msg, [expected_question])
 
+
+class TestQuestionCmdRepeat(TestQuestionCmd):
+
     @mock.patch('chatmastermind.commands.question.create_ai')
     def test_repeat_single_question(self, mock_create_ai: MagicMock) -> None:
         """
@@ -511,3 +517,44 @@ class TestQuestionCmd(TestQuestionCmdBase):
         cached_msg = chat.msg_gather(loc='cache')
         self.assertEqual(len(self.message_list(self.cache_dir)), 2)
         self.assert_messages_equal(cached_msg, expected_responses)
+
+    @mock.patch('chatmastermind.commands.question.create_ai')
+    def test_repeat_multiple_questions(self, mock_create_ai: MagicMock) -> None:
+        """
+        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),
+        #                        Path(self.db_dir.name))
+
+        # 2. repeat all three questions (without overwriting)
+        self.args.ask = None
+        self.args.repeat = ['0001', '0002', '0003']
+        self.args.overwrite = False
+        question_cmd(self.args, self.config)
+        # two new files should be in the cache directory
+        # * the repeated cached message with answer
+        # * the repeated DB message
+        # -> the cached message wihtout answer should be overwritten
+        self.assertEqual(len(self.message_list(self.cache_dir)), 4)
+        self.assertEqual(len(self.message_list(self.db_dir)), 1)
+        # FIXME: also compare actual content!