chat: db_read() and cache_read() now also support globbing and filtering

chatmastermind/commands/question.py

@@ -1,4 +1,3 @@
-import sys
 import argparse
 from pathlib import Path
 from itertools import zip_longest
@@ -74,34 +73,10 @@ def create_message(chat: ChatDB, args: argparse.Namespace) -> Message:
                       tags=args.output_tags,  # FIXME
                       ai=args.AI,
                       model=args.model)
-    # only write the message (as a backup), don't add it
+    chat.cache_add([message])
-    # to the current chat history
-    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 give AI, chat history, message and CLI arguments.
-    Print all answers.
-    """
-    ai.print()
-    chat.print(paged=False)
-    print(message.to_str() + '\n')
-    response: AIResponse = ai.request(message,
-                                      chat,
-                                      args.num_answers,
-                                      args.output_tags)
-    # write all answers to the cache, don't add them to the chat history
-    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.
@@ -120,29 +95,28 @@ def question_cmd(args: argparse.Namespace, config: Config) -> None:
 
     # create the correct AI instance
     ai: AI = create_ai(args, config)
-
-    # === ASK ===
     if args.ask:
-        make_request(ai, chat, message, args)
+        ai.print()
-    # === REPEAT ===
+        chat.print(paged=False)
+        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(source='cache')
+        lmessage = chat.msg_latest()
-        if lmessage is None:
+        assert lmessage
-            print("No message found to repeat!")
+        # TODO: repeat either the last question or the
-            sys.exit(1)
+        # one(s) given in 'args.repeat' (overwrite
-        else:
+        # existing ones if 'args.overwrite' is True)
-            print(f"Repeating message '{lmessage.msg_id()}':")
+        pass
-        # 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/message.py

@@ -540,9 +540,6 @@ 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.