configuration: made 'default' AI ID optional

chatmastermind/ai.py

@@ -33,18 +33,23 @@ class AI(Protocol):
     The base class for AI clients.
     """
 
+    ID: str
     name: str
     config: AIConfig
 
     def request(self,
                 question: Message,
-                context: Chat,
+                chat: Chat,
                 num_answers: int = 1,
                 otags: Optional[set[Tag]] = None) -> AIResponse:
         """
-        Make an AI request, asking the given question with the given
-        context (i. e. chat history). The nr. of requested answers
-        corresponds to the nr. of messages in the 'AIResponse'.
+        Make an AI request. Parameters:
+        * question: the question to ask
+        * chat: the chat history to be added as context
+        * num_answers: nr. of requested answers (corresponds
+          to the nr. of messages in the 'AIResponse')
+        * otags: the output tags, i. e. the tags that all
+          returned messages should contain
         """
         raise NotImplementedError
 
@@ -61,3 +66,9 @@ class AI(Protocol):
         and is not implemented for all AIs.
         """
         raise NotImplementedError
+
+    def print(self) -> None:
+        """
+        Print some info about the current AI, like system message.
+        """
+        pass

chatmastermind/ai_factory.py

@@ -3,18 +3,41 @@ Creates different AI instances, based on the given configuration.
 """
 
 import argparse
-from .configuration import Config
+from typing import cast
+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:
+def create_ai(args: argparse.Namespace, config: Config) -> AI:  # noqa: 11
     """
-    Creates an AI subclass instance from the given args and configuration.
+    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.
     """
-    if args.ai == 'openai':
-        # FIXME: create actual 'OpenAIConfig' and set values from 'args'
-        # FIXME: use actual name from config
-        return OpenAI("openai", config.openai)
+    ai_conf: AIConfig
+    if args.AI:
+        try:
+            ai_conf = config.ais[args.AI]
+        except KeyError:
+            raise AIError(f"AI ID '{args.AI}' does not exist in this configuration")
+    elif 'default' in config.ais:
+        ai_conf = config.ais['default']
     else:
-        raise AIError(f"AI '{args.ai}' is not supported")
+        try:
+            ai_conf = next(iter(config.ais.values()))
+        except StopIteration:
+            raise AIError("No AI found in this configuration")
+
+    if ai_conf.name == 'openai':
+        ai = OpenAI(cast(OpenAIConfig, ai_conf))
+        if args.model:
+            ai.config.model = args.model
+        if args.max_tokens:
+            ai.config.max_tokens = args.max_tokens
+        if args.temperature:
+            ai.config.temperature = args.temperature
+        return ai
+    else:
+        raise AIError(f"AI '{args.AI}' is not supported")

chatmastermind/ais/openai.py

@@ -17,9 +17,11 @@ class OpenAI(AI):
     The OpenAI AI client.
     """
 
-    def __init__(self, name: str, config: OpenAIConfig) -> None:
-        self.name = name
+    def __init__(self, config: OpenAIConfig) -> None:
+        self.ID = config.ID
+        self.name = config.name
         self.config = config
+        openai.api_key = config.api_key
 
     def request(self,
                 question: Message,
@@ -31,8 +33,7 @@ class OpenAI(AI):
         chat history. The nr. of requested answers corresponds to the
         nr. of messages in the 'AIResponse'.
         """
-        # FIXME: use real 'system' message (store in OpenAIConfig)
-        oai_chat = self.openai_chat(chat, "system", question)
+        oai_chat = self.openai_chat(chat, self.config.system, question)
         response = openai.ChatCompletion.create(
             model=self.config.model,
             messages=oai_chat,
@@ -42,16 +43,20 @@ class OpenAI(AI):
             n=num_answers,
             frequency_penalty=self.config.frequency_penalty,
             presence_penalty=self.config.presence_penalty)
-        answers: list[Message] = []
-        for choice in response['choices']:  # type: ignore
+        question.answer = Answer(response['choices'][0]['message']['content'])
+        question.tags = otags
+        question.ai = self.ID
+        question.model = self.config.model
+        answers: list[Message] = [question]
+        for choice in response['choices'][1:]:  # type: ignore
             answers.append(Message(question=question.question,
                                    answer=Answer(choice['message']['content']),
                                    tags=otags,
-                                   ai=self.name,
+                                   ai=self.ID,
                                    model=self.config.model))
-        return AIResponse(answers, Tokens(response['usage']['prompt'],
-                                          response['usage']['completion'],
-                                          response['usage']['total']))
+        return AIResponse(answers, Tokens(response['usage']['prompt_tokens'],
+                                          response['usage']['completion_tokens'],
+                                          response['usage']['total_tokens']))
 
     def models(self) -> list[str]:
         """
@@ -94,3 +99,8 @@ class OpenAI(AI):
 
     def tokens(self, data: Union[Message, Chat]) -> int:
         raise NotImplementedError
+
+    def print(self) -> None:
+        print(f"MODEL: {self.config.model}")
+        print("=== SYSTEM ===")
+        print(self.config.system)

chatmastermind/chat.py

@@ -62,7 +62,10 @@ def make_file_path(dir_path: Path,
     Create a file_path for the given directory using the
     given file_suffix and ID generator function.
     """
-    return dir_path / f"{next_fid():04d}{file_suffix}"
+    file_path = dir_path / f"{next_fid():04d}{file_suffix}"
+    while file_path.exists():
+        file_path = dir_path / f"{next_fid():04d}{file_suffix}"
+    return file_path
 
 
 def write_dir(dir_path: Path,
@@ -386,3 +389,19 @@ class ChatDB(Chat):
         msgs = iter(messages if messages else self.messages)
         while (m := next(msgs, None)):
             m.to_file()
+
+    def update_messages(self, messages: list[Message], write: bool = True) -> None:
+        """
+        Update existing messages. A message is determined as 'existing' if a message with
+        the same base filename (i. e. 'file_path.name') is already in the list. Only accepts
+        existing messages.
+        """
+        if any(not message_in(m, self.messages) for m in messages):
+            raise ChatError("Can't update messages that are not in the internal list")
+        # remove old versions and add new ones
+        self.messages = [m for m in self.messages if not message_in(m, messages)]
+        self.messages += messages
+        self.sort()
+        # write the UPDATED messages if requested
+        if write:
+            self.write_messages(messages)

chatmastermind/commands/config.py

@@ -0,0 +1,11 @@
+import argparse
+from pathlib import Path
+from ..configuration import Config
+
+
+def config_cmd(args: argparse.Namespace) -> None:
+    """
+    Handler for the 'config' command.
+    """
+    if args.create:
+        Config.create_default(Path(args.create))

chatmastermind/commands/hist.py

@@ -0,0 +1,23 @@
+import argparse
+from pathlib import Path
+from ..configuration import Config
+from ..chat import ChatDB
+from ..message import MessageFilter
+
+
+def hist_cmd(args: argparse.Namespace, config: Config) -> None:
+    """
+    Handler for the 'hist' command.
+    """
+
+    mfilter = MessageFilter(tags_or=args.or_tags,
+                            tags_and=args.and_tags,
+                            tags_not=args.exclude_tags,
+                            question_contains=args.question,
+                            answer_contains=args.answer)
+    chat = ChatDB.from_dir(Path('.'),
+                           Path(config.db),
+                           mfilter=mfilter)
+    chat.print(args.source_code_only,
+               args.with_tags,
+               args.with_files)

chatmastermind/commands/print.py

@@ -0,0 +1,27 @@
+import sys
+import argparse
+from pathlib import Path
+from ..configuration import Config
+from ..message import Message, MessageError
+
+
+def print_cmd(args: argparse.Namespace, config: Config) -> None:
+    """
+    Handler for the 'print' command.
+    """
+    fname = Path(args.file)
+    try:
+        message = Message.from_file(fname)
+        if message:
+            if args.question:
+                print(message.question)
+            elif args.answer:
+                print(message.answer)
+            elif message.answer and args.only_source_code:
+                for code in message.answer.source_code():
+                    print(code)
+            else:
+                print(message.to_str())
+    except MessageError:
+        print(f"File is not a valid message: {args.file}")
+        sys.exit(1)

chatmastermind/commands/question.py

@@ -0,0 +1,94 @@
+import argparse
+from pathlib import Path
+from itertools import zip_longest
+from ..configuration import Config
+from ..chat import ChatDB
+from ..message import Message, MessageFilter, Question, source_code
+from ..ai_factory import create_ai
+from ..ai import AI, AIResponse
+
+
+def create_message(chat: ChatDB, args: argparse.Namespace) -> Message:
+    """
+    Creates (and writes) a new message from the given arguments.
+    """
+    question_parts = []
+    question_list = args.ask if args.ask is not None else []
+    text_files = args.source_text if args.source_text is not None else []
+    code_files = args.source_code if args.source_code is not None else []
+
+    for question, source, code in zip_longest(question_list, text_files, code_files, fillvalue=None):
+        if question is not None and len(question.strip()) > 0:
+            question_parts.append(question)
+        if source is not None and len(source) > 0:
+            with open(source) as r:
+                content = r.read().strip()
+                if len(content) > 0:
+                    question_parts.append(content)
+        if code is not None and len(code) > 0:
+            with open(code) as r:
+                content = r.read().strip()
+                if len(content) == 0:
+                    continue
+                # try to extract and add source code
+                code_parts = source_code(content, include_delims=True)
+                if len(code_parts) > 0:
+                    question_parts += code_parts
+                # if there's none, add the whole file
+                else:
+                    question_parts.append(f"```\n{content}\n```")
+
+    full_question = '\n\n'.join(question_parts)
+
+    message = Message(question=Question(full_question),
+                      tags=args.output_tags,  # FIXME
+                      ai=args.AI,
+                      model=args.model)
+    chat.add_to_cache([message])
+    return message
+
+
+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())
+    chat = ChatDB.from_dir(cache_path=Path('.'),
+                           db_path=Path(config.db),
+                           mfilter=mfilter)
+    # if it's a new question, create and store it immediately
+    if args.ask or args.create:
+        message = create_message(chat, args)
+    if args.create:
+        return
+
+    # create the correct AI instance
+    ai: AI = create_ai(args, config)
+    if args.ask:
+        ai.print()
+        chat.print(paged=False)
+        response: AIResponse = ai.request(message,
+                                          chat,
+                                          args.num_answers,  # FIXME
+                                          args.output_tags)  # FIXME
+        chat.update_messages([response.messages[0]])
+        chat.add_to_cache(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.latest_message()
+        assert lmessage
+        # TODO: repeat either the last question or the
+        # one(s) given in 'args.repeat' (overwrite
+        # existing ones if 'args.overwrite' is True)
+        pass
+    elif args.process is not None:
+        # TODO: process either all questions without an
+        # answer or the one(s) given in 'args.process'
+        pass

chatmastermind/commands/tags.py

@@ -0,0 +1,17 @@
+import argparse
+from pathlib import Path
+from ..configuration import Config
+from ..chat import ChatDB
+
+
+def tags_cmd(args: argparse.Namespace, config: Config) -> None:
+    """
+    Handler for the 'tags' command.
+    """
+    chat = ChatDB.from_dir(cache_path=Path('.'),
+                           db_path=Path(config.db))
+    if args.list:
+        tags_freq = chat.tags_frequency(args.prefix, args.contain)
+        for tag, freq in tags_freq.items():
+            print(f"- {tag}: {freq}")
+    # TODO: add renaming

chatmastermind/configuration.py

@@ -1,17 +1,51 @@
 import yaml
-from typing import Type, TypeVar, Any
-from dataclasses import dataclass, asdict
+from pathlib import Path
+from typing import Type, TypeVar, Any, Optional, ClassVar
+from dataclasses import dataclass, asdict, field
 
 ConfigInst = TypeVar('ConfigInst', bound='Config')
+AIConfigInst = TypeVar('AIConfigInst', bound='AIConfig')
 OpenAIConfigInst = TypeVar('OpenAIConfigInst', bound='OpenAIConfig')
 
 
+supported_ais: list[str] = ['openai']
+default_config_path = '.config.yaml'
+
+
+class ConfigError(Exception):
+    pass
+
+
+def str_presenter(dumper: yaml.Dumper, data: str) -> yaml.ScalarNode:
+    """
+    Changes the YAML dump style to multiline syntax for multiline strings.
+    """
+    if len(data.splitlines()) > 1:
+        return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|')
+    return dumper.represent_scalar('tag:yaml.org,2002:str', data)
+
+
+yaml.add_representer(str, str_presenter)
+
+
 @dataclass
 class AIConfig:
     """
     The base class of all AI configurations.
     """
-    name: str
+    # the name of the AI the config class represents
+    # -> it's a class variable and thus not part of the
+    #    dataclass constructor
+    name: ClassVar[str]
+    # a user-defined ID for an AI configuration entry
+    ID: str
+
+    # the name must not be changed
+    def __setattr__(self, name: str, value: Any) -> None:
+        if name == 'name':
+            raise AttributeError("'{name}' is not allowed to be changed")
+        else:
+            super().__setattr__(name, value)
 
 
 @dataclass
@@ -19,29 +53,59 @@ class OpenAIConfig(AIConfig):
     """
     The OpenAI section of the configuration file.
     """
-    api_key: str
-    model: str
-    temperature: float
-    max_tokens: int
-    top_p: float
-    frequency_penalty: float
-    presence_penalty: float
+    name: ClassVar[str] = 'openai'
+
+    # all members have default values, so we can easily create
+    # a default configuration
+    ID: str = 'myopenai'
+    api_key: str = '0123456789'
+    model: str = 'gpt-3.5-turbo-16k'
+    temperature: float = 1.0
+    max_tokens: int = 4000
+    top_p: float = 1.0
+    frequency_penalty: float = 0.0
+    presence_penalty: float = 0.0
+    system: str = 'You are an assistant'
 
     @classmethod
     def from_dict(cls: Type[OpenAIConfigInst], source: dict[str, Any]) -> OpenAIConfigInst:
         """
         Create OpenAIConfig from a dict.
         """
-        return cls(
-            name='OpenAI',
+        res = cls(
             api_key=str(source['api_key']),
             model=str(source['model']),
             max_tokens=int(source['max_tokens']),
             temperature=float(source['temperature']),
             top_p=float(source['top_p']),
             frequency_penalty=float(source['frequency_penalty']),
-            presence_penalty=float(source['presence_penalty'])
+            presence_penalty=float(source['presence_penalty']),
+            system=str(source['system'])
         )
+        # overwrite default ID if provided
+        if 'ID' in source:
+            res.ID = source['ID']
+        return res
+
+
+def ai_config_instance(name: str, conf_dict: Optional[dict[str, Any]] = None) -> AIConfig:
+    """
+    Creates an AIConfig instance of the given name.
+    """
+    if name.lower() == 'openai':
+        if conf_dict is None:
+            return OpenAIConfig()
+        else:
+            return OpenAIConfig.from_dict(conf_dict)
+    else:
+        raise ConfigError(f"Unknown AI '{name}'")
+
+
+def create_default_ai_configs() -> dict[str, AIConfig]:
+    """
+    Create a dict containing default configurations for all supported AIs.
+    """
+    return {ai_config_instance(name).ID: ai_config_instance(name) for name in supported_ais}
 
 
 @dataclass
@@ -49,30 +113,54 @@ class Config:
     """
     The configuration file structure.
     """
-    system: str
-    db: str
-    openai: OpenAIConfig
+    # all members have default values, so we can easily create
+    # a default configuration
+    db: str = './db/'
+    ais: dict[str, AIConfig] = field(default_factory=create_default_ai_configs)
 
     @classmethod
     def from_dict(cls: Type[ConfigInst], source: dict[str, Any]) -> ConfigInst:
         """
-        Create Config from a dict.
+        Create Config from a dict (with the same format as the config file).
         """
+        # create the correct AI type instances
+        ais: dict[str, AIConfig] = {}
+        for ID, conf in source['ais'].items():
+            # add the AI ID to the config (for easy internal access)
+            conf['ID'] = ID
+            ai_conf = ai_config_instance(conf['name'], conf)
+            ais[ID] = ai_conf
         return cls(
-            system=str(source['system']),
             db=str(source['db']),
-            openai=OpenAIConfig.from_dict(source['openai'])
+            ais=ais
         )
 
+    @classmethod
+    def create_default(self, file_path: Path) -> None:
+        """
+        Creates a default Config in the given file.
+        """
+        conf = Config()
+        conf.to_file(file_path)
+
     @classmethod
     def from_file(cls: Type[ConfigInst], path: str) -> ConfigInst:
         with open(path, 'r') as f:
             source = yaml.load(f, Loader=yaml.FullLoader)
         return cls.from_dict(source)
 
-    def to_file(self, path: str) -> None:
-        with open(path, 'w') as f:
-            yaml.dump(asdict(self), f, sort_keys=False)
+    def to_file(self, file_path: Path) -> None:
+        # remove the AI name from the config (for a cleaner format)
+        data = self.as_dict()
+        for conf in data['ais'].values():
+            del (conf['ID'])
+        with open(file_path, 'w') as f:
+            yaml.dump(data, f, sort_keys=False)
 
     def as_dict(self) -> dict[str, Any]:
-        return asdict(self)
+        res = asdict(self)
+        # add the AI name manually (as first element)
+        # (not done by 'asdict' because it's a class variable)
+        for ID, conf in res['ais'].items():
+            res['ais'][ID] = {**{'name': self.ais[ID].name}, **conf}
+        return res

chatmastermind/main.py

@@ -6,12 +6,14 @@ import sys
 import argcomplete
 import argparse
 from pathlib import Path
-from .configuration import Config, default_config_path
-from .chat import ChatDB
-from .message import Message, MessageFilter, MessageError, Question
-from .ai_factory import create_ai
-from .ai import AI, AIResponse
 from typing import Any
+from .configuration import Config, default_config_path
+from .message import Message
+from .commands.question import question_cmd
+from .commands.tags import tags_cmd
+from .commands.config import config_cmd
+from .commands.hist import hist_cmd
+from .commands.print import print_cmd
 
 
 def tags_completer(prefix: str, parsed_args: Any, **kwargs: Any) -> list[str]:
@@ -19,101 +21,6 @@ def tags_completer(prefix: str, parsed_args: Any, **kwargs: Any) -> list[str]:
     return list(Message.tags_from_dir(Path(config.db), prefix=prefix))
 
 
-def tags_cmd(args: argparse.Namespace, config: Config) -> None:
-    """
-    Handler for the 'tags' command.
-    """
-    chat = ChatDB.from_dir(cache_path=Path('.'),
-                           db_path=Path(config.db))
-    if args.list:
-        tags_freq = chat.tags_frequency(args.prefix, args.contain)
-        for tag, freq in tags_freq.items():
-            print(f"- {tag}: {freq}")
-    # TODO: add renaming
-
-
-def config_cmd(args: argparse.Namespace) -> None:
-    """
-    Handler for the 'config' command.
-    """
-    if args.create:
-        Config.create_default(Path(args.create))
-
-
-def question_cmd(args: argparse.Namespace, config: Config) -> None:
-    """
-    Handler for the 'question' command.
-    """
-    chat = ChatDB.from_dir(cache_path=Path('.'),
-                           db_path=Path(config.db))
-    # if it's a new question, create and store it immediately
-    if args.ask or args.create:
-        # FIXME: add sources to the question
-        message = Message(question=Question(args.question),
-                          tags=args.ouput_tags,  # FIXME
-                          ai=args.ai,
-                          model=args.model)
-        chat.add_to_cache([message])
-    if args.create:
-        return
-
-    # create the correct AI instance
-    ai: AI = create_ai(args, config)
-    if args.ask:
-        response: AIResponse = ai.request(message,
-                                          chat,
-                                          args.num_answers,  # FIXME
-                                          args.otags)  # FIXME
-        assert response
-        # TODO:
-        # * add answer to the message above (and create
-        #   more messages for any additional answers)
-        pass
-    elif args.repeat:
-        lmessage = chat.latest_message()
-        assert lmessage
-        # TODO: repeat either the last question or the
-        # one(s) given in 'args.repeat' (overwrite
-        # existing ones if 'args.overwrite' is True)
-        pass
-    elif args.process:
-        # TODO: process either all questions without an
-        # answer or the one(s) given in 'args.process'
-        pass
-
-
-def hist_cmd(args: argparse.Namespace, config: Config) -> None:
-    """
-    Handler for the 'hist' command.
-    """
-
-    mfilter = MessageFilter(tags_or=args.or_tags,
-                            tags_and=args.and_tags,
-                            tags_not=args.exclude_tags,
-                            question_contains=args.question,
-                            answer_contains=args.answer)
-    chat = ChatDB.from_dir(Path('.'),
-                           Path(config.db),
-                           mfilter=mfilter)
-    chat.print(args.source_code_only,
-               args.with_tags,
-               args.with_files)
-
-
-def print_cmd(args: argparse.Namespace, config: Config) -> None:
-    """
-    Handler for the 'print' command.
-    """
-    fname = Path(args.file)
-    try:
-        message = Message.from_file(fname)
-        if message:
-            print(message.to_str(source_code_only=args.source_code_only))
-    except MessageError:
-        print(f"File is not a valid message: {args.file}")
-        sys.exit(1)
-
-
 def create_parser() -> argparse.ArgumentParser:
     parser = argparse.ArgumentParser(
         description="ChatMastermind is a Python application that automates conversation with AI")
@@ -128,20 +35,28 @@ 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='+',
-                                      help='List of tag names (one must match)', metavar='OTAGS')
+                                      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='+',
-                                       help='List of tag names (all must match)', metavar='ATAGS')
+                                       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='+',
-                                       help='List of tag names to exclude', metavar='XTAGS')
+                                       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='+',
-                                       help='List of output tag names, default is input', metavar='OUTTAGS')
+                                       help='List of output tags (default: use input tags)', metavar='OUTTAGS')
     otag_arg.completer = tags_completer  # type: ignore
 
+    # a parent parser for all commands that support AI configuration
+    ai_parser = argparse.ArgumentParser(add_help=False)
+    ai_parser.add_argument('-A', '--AI', help='AI ID to use')
+    ai_parser.add_argument('-M', '--model', help='Model to use')
+    ai_parser.add_argument('-n', '--num-answers', help='Number of answers to request', type=int, default=1)
+    ai_parser.add_argument('-m', '--max-tokens', help='Max. nr. of tokens', type=int)
+    ai_parser.add_argument('-T', '--temperature', help='Temperature value', type=float)
+
     # 'question' command parser
-    question_cmd_parser = cmdparser.add_parser('question', parents=[tag_parser],
+    question_cmd_parser = cmdparser.add_parser('question', parents=[tag_parser, ai_parser],
                                                help="ask, create and process questions.",
                                                aliases=['q'])
     question_cmd_parser.set_defaults(func=question_cmd)
@@ -152,15 +67,8 @@ def create_parser() -> argparse.ArgumentParser:
     question_group.add_argument('-p', '--process', nargs='*', help='Process existing questions')
     question_cmd_parser.add_argument('-O', '--overwrite', help='Overwrite existing messages when repeating them',
                                      action='store_true')
-    question_cmd_parser.add_argument('-m', '--max-tokens', help='Max tokens to use', type=int)
-    question_cmd_parser.add_argument('-T', '--temperature', help='Temperature to use', type=float)
-    question_cmd_parser.add_argument('-A', '--AI', help='AI to use')
-    question_cmd_parser.add_argument('-M', '--model', help='Model to use')
-    question_cmd_parser.add_argument('-n', '--num-answers', help='Number of answers to produce', type=int,
-                                     default=1)
-    question_cmd_parser.add_argument('-s', '--source', nargs='+', help='Source add content of a file to the query')
-    question_cmd_parser.add_argument('-S', '--source-code-only', help='Add pure source code to the chat history',
-                                     action='store_true')
+    question_cmd_parser.add_argument('-s', '--source-text', nargs='+', help='Add content of a file to the query')
+    question_cmd_parser.add_argument('-S', '--source-code', nargs='+', help='Add source code file content to the chat history')
 
     # 'hist' command parser
     hist_cmd_parser = cmdparser.add_parser('hist', parents=[tag_parser],
@@ -205,8 +113,10 @@ def create_parser() -> argparse.ArgumentParser:
                                             aliases=['p'])
     print_cmd_parser.set_defaults(func=print_cmd)
     print_cmd_parser.add_argument('-f', '--file', help='File to print', required=True)
-    print_cmd_parser.add_argument('-S', '--source-code-only', help='Print source code only (from the answer, if available)',
-                                  action='store_true')
+    print_cmd_modes = print_cmd_parser.add_mutually_exclusive_group()
+    print_cmd_modes.add_argument('-q', '--question', help='Print only question', action='store_true')
+    print_cmd_modes.add_argument('-a', '--answer', help='Print only answer', action='store_true')
+    print_cmd_modes.add_argument('-S', '--only-source-code', help='Print only source code', action='store_true')
 
     argcomplete.autocomplete(parser)
     return parser

chatmastermind/message.py

@@ -3,6 +3,8 @@ Module implementing message related functions and classes.
 """
 import pathlib
 import yaml
+import tempfile
+import shutil
 from typing import Type, TypeVar, ClassVar, Optional, Any, Union, Final, Literal, Iterable
 from dataclasses import dataclass, asdict, field
 from .tags import Tag, TagLine, TagError, match_tags, rename_tags
@@ -312,7 +314,7 @@ class Message():
                                           mfilter.tags_not if mfilter else None)
         else:
             message = cls.__from_file_yaml(file_path)
-        if message and (not mfilter or (mfilter and message.match(mfilter))):
+        if message and (mfilter is None or message.match(mfilter)):
             return message
         else:
             return None
@@ -414,7 +416,7 @@ class Message():
         return '\n'.join(output)
 
     def __str__(self) -> str:
-        return self.to_str(False, False, False)
+        return self.to_str(True, True, False)
 
     def to_file(self, file_path: Optional[pathlib.Path]=None) -> None:  # noqa: 11
         """
@@ -445,16 +447,18 @@ class Message():
             * Answer.txt_header
             * Answer
         """
-        with open(file_path, "w") as fd:
+        with tempfile.NamedTemporaryFile(dir=file_path.parent, prefix=file_path.name, mode="w", delete=False) as temp_fd:
+            temp_file_path = pathlib.Path(temp_fd.name)
             if self.tags:
-                fd.write(f'{TagLine.from_set(self.tags)}\n')
+                temp_fd.write(f'{TagLine.from_set(self.tags)}\n')
             if self.ai:
-                fd.write(f'{AILine.from_ai(self.ai)}\n')
+                temp_fd.write(f'{AILine.from_ai(self.ai)}\n')
             if self.model:
-                fd.write(f'{ModelLine.from_model(self.model)}\n')
-            fd.write(f'{Question.txt_header}\n{self.question}\n')
+                temp_fd.write(f'{ModelLine.from_model(self.model)}\n')
+            temp_fd.write(f'{Question.txt_header}\n{self.question}\n')
             if self.answer:
-                fd.write(f'{Answer.txt_header}\n{self.answer}\n')
+                temp_fd.write(f'{Answer.txt_header}\n{self.answer}\n')
+        shutil.move(temp_file_path, file_path)
 
     def __to_file_yaml(self, file_path: pathlib.Path) -> None:
         """
@@ -466,7 +470,8 @@ class Message():
             * Message.ai_yaml_key: str [Optional]
             * Message.model_yaml_key: str [Optional]
         """
-        with open(file_path, "w") as fd:
+        with tempfile.NamedTemporaryFile(dir=file_path.parent, prefix=file_path.name, mode="w", delete=False) as temp_fd:
+            temp_file_path = pathlib.Path(temp_fd.name)
             data: YamlDict = {Question.yaml_key: str(self.question)}
             if self.answer:
                 data[Answer.yaml_key] = str(self.answer)
@@ -476,7 +481,8 @@ class Message():
                 data[self.model_yaml_key] = self.model
             if self.tags:
                 data[self.tags_yaml_key] = sorted([str(tag) for tag in self.tags])
-            yaml.dump(data, fd, sort_keys=False)
+            yaml.dump(data, temp_fd, sort_keys=False)
+        shutil.move(temp_file_path, file_path)
 
     def filter_tags(self, prefix: Optional[str] = None, contain: Optional[str] = None) -> set[Tag]:
         """
@@ -508,7 +514,7 @@ class Message():
         Return True if all attributes match, else False.
         """
         mytags = self.tags or set()
-        if (((mfilter.tags_or or mfilter.tags_and or mfilter.tags_not)
+        if (((mfilter.tags_or is not None or mfilter.tags_and is not None or mfilter.tags_not is not None)
             and not match_tags(mytags, mfilter.tags_or, mfilter.tags_and, mfilter.tags_not))  # noqa: W503
            or (mfilter.ai and (not self.ai or mfilter.ai != self.ai))  # noqa: W503
            or (mfilter.model and (not self.model or mfilter.model != self.model))  # noqa: W503

setup.py

@@ -12,7 +12,7 @@ setup(
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://github.com/ok2/ChatMastermind",
-    packages=find_packages() + ["chatmastermind.ais"],
+    packages=find_packages() + ["chatmastermind.ais", "chatmastermind.commands"],
     classifiers=[
         "Development Status :: 3 - Alpha",
         "Environment :: Console",

tests/test_ai_factory.py

@@ -0,0 +1,48 @@
+import argparse
+import unittest
+from unittest.mock import MagicMock
+from chatmastermind.ai_factory import create_ai
+from chatmastermind.configuration import Config
+from chatmastermind.ai import AIError
+from chatmastermind.ais.openai import OpenAI
+
+
+class TestCreateAI(unittest.TestCase):
+    def setUp(self) -> None:
+        self.args = MagicMock(spec=argparse.Namespace)
+        self.args.AI = 'myopenai'
+        self.args.model = None
+        self.args.max_tokens = None
+        self.args.temperature = None
+
+    def test_create_ai_from_args(self) -> None:
+        # Create an AI with the default configuration
+        config = Config()
+        self.args.AI = 'myopenai'
+        ai = create_ai(self.args, config)
+        self.assertIsInstance(ai, OpenAI)
+
+    def test_create_ai_from_default(self) -> None:
+        self.args.AI = None
+        # Create an AI with the default configuration
+        config = Config()
+        ai = create_ai(self.args, config)
+        self.assertIsInstance(ai, OpenAI)
+
+    def test_create_empty_ai_error(self) -> None:
+        self.args.AI = None
+        # Create Config with empty AIs
+        config = Config()
+        config.ais = {}
+        # Call create_ai function and assert that it raises AIError
+        with self.assertRaises(AIError):
+            create_ai(self.args, config)
+
+    def test_create_unsupported_ai_error(self) -> None:
+        # Mock argparse.Namespace with ai='invalid_ai'
+        self.args.AI = 'invalid_ai'
+        # Create default Config
+        config = Config()
+        # Call create_ai function and assert that it raises AIError
+        with self.assertRaises(AIError):
+            create_ai(self.args, config)

tests/test_chat.py

@@ -202,7 +202,25 @@ class TestChatDB(unittest.TestCase):
         self.assertEqual(chat_db.messages[1].file_path,
                          pathlib.Path(self.db_path.name, '0003.txt'))
 
-    def test_chat_db_filter(self) -> None:
+    def test_chat_db_from_dir_filter_tags(self) -> None:
+        chat_db = ChatDB.from_dir(pathlib.Path(self.cache_path.name),
+                                  pathlib.Path(self.db_path.name),
+                                  mfilter=MessageFilter(tags_or={Tag('tag1')}))
+        self.assertEqual(len(chat_db.messages), 1)
+        self.assertEqual(chat_db.cache_path, pathlib.Path(self.cache_path.name))
+        self.assertEqual(chat_db.db_path, pathlib.Path(self.db_path.name))
+        self.assertEqual(chat_db.messages[0].file_path,
+                         pathlib.Path(self.db_path.name, '0001.txt'))
+
+    def test_chat_db_from_dir_filter_tags_empty(self) -> None:
+        chat_db = ChatDB.from_dir(pathlib.Path(self.cache_path.name),
+                                  pathlib.Path(self.db_path.name),
+                                  mfilter=MessageFilter(tags_or=set(),
+                                                        tags_and=set(),
+                                                        tags_not=set()))
+        self.assertEqual(len(chat_db.messages), 0)
+
+    def test_chat_db_from_dir_filter_answer(self) -> None:
         chat_db = ChatDB.from_dir(pathlib.Path(self.cache_path.name),
                                   pathlib.Path(self.db_path.name),
                                   mfilter=MessageFilter(answer_contains='Answer 2'))
@@ -213,7 +231,7 @@ class TestChatDB(unittest.TestCase):
                          pathlib.Path(self.db_path.name, '0002.yaml'))
         self.assertEqual(chat_db.messages[0].answer, 'Answer 2')
 
-    def test_chat_db_from_messges(self) -> None:
+    def test_chat_db_from_messages(self) -> None:
         chat_db = ChatDB.from_messages(pathlib.Path(self.cache_path.name),
                                        pathlib.Path(self.db_path.name),
                                        messages=[self.message1, self.message2,
@@ -440,3 +458,31 @@ class TestChatDB(unittest.TestCase):
         cache_dir_files = self.message_list(self.cache_path)
         self.assertEqual(len(cache_dir_files), 1)
         self.assertIn(pathlib.Path(self.cache_path.name, '123456.txt'), cache_dir_files)
+
+    def test_chat_db_update_messages(self) -> None:
+        # create a new ChatDB instance
+        chat_db = ChatDB.from_dir(pathlib.Path(self.cache_path.name),
+                                  pathlib.Path(self.db_path.name))
+
+        db_dir_files = self.message_list(self.db_path)
+        self.assertEqual(len(db_dir_files), 4)
+        cache_dir_files = self.message_list(self.cache_path)
+        self.assertEqual(len(cache_dir_files), 0)
+
+        message = chat_db.messages[0]
+        message.answer = Answer("New answer")
+        # update message without writing
+        chat_db.update_messages([message], write=False)
+        self.assertEqual(chat_db.messages[0].answer, Answer("New answer"))
+        # re-read the message and check for old content
+        chat_db.read_db()
+        self.assertEqual(chat_db.messages[0].answer, Answer("Answer 1"))
+        # now check with writing (message should be overwritten)
+        chat_db.update_messages([message], write=True)
+        chat_db.read_db()
+        self.assertEqual(chat_db.messages[0].answer, Answer("New answer"))
+        # test without file_path -> expect error
+        message1 = Message(question=Question("Question 1"),
+                           answer=Answer("Answer 1"))
+        with self.assertRaises(ChatError):
+            chat_db.update_messages([message1])

tests/test_configuration.py

@@ -0,0 +1,160 @@
+import os
+import unittest
+import yaml
+from tempfile import NamedTemporaryFile
+from pathlib import Path
+from typing import cast
+from chatmastermind.configuration import AIConfig, OpenAIConfig, ConfigError, ai_config_instance, Config
+
+
+class TestAIConfigInstance(unittest.TestCase):
+    def test_ai_config_instance_with_valid_name_should_return_instance_with_default_values(self) -> None:
+        ai_config = cast(OpenAIConfig, ai_config_instance('openai'))
+        ai_reference = OpenAIConfig()
+        self.assertEqual(ai_config.ID, ai_reference.ID)
+        self.assertEqual(ai_config.name, ai_reference.name)
+        self.assertEqual(ai_config.api_key, ai_reference.api_key)
+        self.assertEqual(ai_config.system, ai_reference.system)
+        self.assertEqual(ai_config.model, ai_reference.model)
+        self.assertEqual(ai_config.temperature, ai_reference.temperature)
+        self.assertEqual(ai_config.max_tokens, ai_reference.max_tokens)
+        self.assertEqual(ai_config.top_p, ai_reference.top_p)
+        self.assertEqual(ai_config.frequency_penalty, ai_reference.frequency_penalty)
+        self.assertEqual(ai_config.presence_penalty, ai_reference.presence_penalty)
+
+    def test_ai_config_instance_with_valid_name_and_configuration_should_return_instance_with_custom_values(self) -> None:
+        conf_dict = {
+            'system': 'Custom system',
+            'api_key': '9876543210',
+            'model': 'custom_model',
+            'max_tokens': 5000,
+            'temperature': 0.5,
+            'top_p': 0.8,
+            'frequency_penalty': 0.7,
+            'presence_penalty': 0.2
+        }
+        ai_config = cast(OpenAIConfig, ai_config_instance('openai', conf_dict))
+        self.assertEqual(ai_config.system, 'Custom system')
+        self.assertEqual(ai_config.api_key, '9876543210')
+        self.assertEqual(ai_config.model, 'custom_model')
+        self.assertEqual(ai_config.max_tokens, 5000)
+        self.assertAlmostEqual(ai_config.temperature, 0.5)
+        self.assertAlmostEqual(ai_config.top_p, 0.8)
+        self.assertAlmostEqual(ai_config.frequency_penalty, 0.7)
+        self.assertAlmostEqual(ai_config.presence_penalty, 0.2)
+
+    def test_ai_config_instance_with_invalid_name_should_raise_config_error(self) -> None:
+        with self.assertRaises(ConfigError):
+            ai_config_instance('invalid_name')
+
+
+class TestConfig(unittest.TestCase):
+    def setUp(self) -> None:
+        self.test_file = NamedTemporaryFile(delete=False)
+
+    def tearDown(self) -> None:
+        os.remove(self.test_file.name)
+
+    def test_from_dict_should_create_config_from_dict(self) -> None:
+        source_dict = {
+            'db': './test_db/',
+            'ais': {
+                'myopenai': {
+                    'name': 'openai',
+                    'system': 'Custom system',
+                    'api_key': '9876543210',
+                    'model': 'custom_model',
+                    'max_tokens': 5000,
+                    'temperature': 0.5,
+                    'top_p': 0.8,
+                    'frequency_penalty': 0.7,
+                    'presence_penalty': 0.2
+                }
+            }
+        }
+        config = Config.from_dict(source_dict)
+        self.assertEqual(config.db, './test_db/')
+        self.assertEqual(len(config.ais), 1)
+        self.assertEqual(config.ais['myopenai'].name, 'openai')
+        self.assertEqual(cast(OpenAIConfig, config.ais['myopenai']).system, 'Custom system')
+        # check that 'ID' has been added
+        self.assertEqual(config.ais['myopenai'].ID, 'myopenai')
+
+    def test_create_default_should_create_default_config(self) -> None:
+        Config.create_default(Path(self.test_file.name))
+        with open(self.test_file.name, 'r') as f:
+            default_config = yaml.load(f, Loader=yaml.FullLoader)
+        config_reference = Config()
+        self.assertEqual(default_config['db'], config_reference.db)
+
+    def test_from_file_should_load_config_from_file(self) -> None:
+        source_dict = {
+            'db': './test_db/',
+            'ais': {
+                'default': {
+                    'name': 'openai',
+                    'system': 'Custom system',
+                    'api_key': '9876543210',
+                    'model': 'custom_model',
+                    'max_tokens': 5000,
+                    'temperature': 0.5,
+                    'top_p': 0.8,
+                    'frequency_penalty': 0.7,
+                    'presence_penalty': 0.2
+                }
+            }
+        }
+        with open(self.test_file.name, 'w') as f:
+            yaml.dump(source_dict, f)
+        config = Config.from_file(self.test_file.name)
+        self.assertIsInstance(config, Config)
+        self.assertEqual(config.db, './test_db/')
+        self.assertEqual(len(config.ais), 1)
+        self.assertIsInstance(config.ais['default'], AIConfig)
+        self.assertEqual(cast(OpenAIConfig, config.ais['default']).system, 'Custom system')
+
+    def test_to_file_should_save_config_to_file(self) -> None:
+        config = Config(
+            db='./test_db/',
+            ais={
+                'myopenai': OpenAIConfig(
+                    ID='myopenai',
+                    system='Custom system',
+                    api_key='9876543210',
+                    model='custom_model',
+                    max_tokens=5000,
+                    temperature=0.5,
+                    top_p=0.8,
+                    frequency_penalty=0.7,
+                    presence_penalty=0.2
+                )
+            }
+        )
+        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['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 = {
+            'db': './test_db/',
+            'ais': {
+                'default': {
+                    'name': 'foobla',
+                    'system': 'Custom system',
+                    'api_key': '9876543210',
+                    'model': 'custom_model',
+                    'max_tokens': 5000,
+                    'temperature': 0.5,
+                    'top_p': 0.8,
+                    'frequency_penalty': 0.7,
+                    'presence_penalty': 0.2
+                }
+            }
+        }
+        with open(self.test_file.name, 'w') as f:
+            yaml.dump(source_dict, f)
+        with self.assertRaises(ConfigError):
+            Config.from_file(self.test_file.name)

tests/test_message.py

@@ -300,6 +300,12 @@ This is a question.
                                     MessageFilter(tags_or={Tag('tag1')}))
         self.assertIsNone(message)
 
+    def test_from_file_txt_empty_tags_dont_match(self) -> None:
+        message = Message.from_file(self.file_path_min,
+                                    MessageFilter(tags_or=set(),
+                                                  tags_and=set()))
+        self.assertIsNone(message)
+
     def test_from_file_txt_no_tags_match_tags_not(self) -> None:
         message = Message.from_file(self.file_path_min,
                                     MessageFilter(tags_not={Tag('tag1')}))

tests/test_question_cmd.py

@@ -0,0 +1,162 @@
+import os
+import unittest
+import argparse
+import tempfile
+from pathlib import Path
+from unittest.mock import MagicMock
+from chatmastermind.commands.question import create_message
+from chatmastermind.message import Message, Question
+from chatmastermind.chat import ChatDB
+
+
+class TestMessageCreate(unittest.TestCase):
+    """
+    Test if messages created by the 'question' command have
+    the correct format.
+    """
+    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))
+        # create arguments mock
+        self.args = MagicMock(spec=argparse.Namespace)
+        self.args.source_text = None
+        self.args.source_code = None
+        self.args.AI = None
+        self.args.model = None
+        self.args.output_tags = None
+        # File 1 : no source code block, only text
+        self.source_file1 = tempfile.NamedTemporaryFile(delete=False)
+        self.source_file1_content = """This is just text.
+No source code.
+Nope. Go look elsewhere!"""
+        with open(self.source_file1.name, 'w') as f:
+            f.write(self.source_file1_content)
+        # File 2 : one embedded source code block
+        self.source_file2 = tempfile.NamedTemporaryFile(delete=False)
+        self.source_file2_content = """This is just text.
+```
+This is embedded source code.
+```
+And some text again."""
+        with open(self.source_file2.name, 'w') as f:
+            f.write(self.source_file2_content)
+        # File 3 : all source code
+        self.source_file3 = tempfile.NamedTemporaryFile(delete=False)
+        self.source_file3_content = """This is all source code.
+Yes, really.
+Language is called 'brainfart'."""
+        with open(self.source_file3.name, 'w') as f:
+            f.write(self.source_file3_content)
+        # File 4 : two source code blocks
+        self.source_file4 = tempfile.NamedTemporaryFile(delete=False)
+        self.source_file4_content = """This is just text.
+```
+This is embedded source code.
+```
+And some text again.
+```
+This is embedded source code.
+```
+Aaaand again some text."""
+        with open(self.source_file4.name, 'w') as f:
+            f.write(self.source_file4_content)
+
+    def tearDown(self) -> None:
+        os.remove(self.source_file1.name)
+        os.remove(self.source_file2.name)
+        os.remove(self.source_file3.name)
+
+    def message_list(self, tmp_dir: tempfile.TemporaryDirectory) -> list[Path]:
+        # exclude '.next'
+        return list(Path(tmp_dir.name).glob('*.[ty]*'))
+
+    def test_message_file_created(self) -> None:
+        self.args.ask = ["What is this?"]
+        cache_dir_files = self.message_list(self.cache_path)
+        self.assertEqual(len(cache_dir_files), 0)
+        create_message(self.chat, self.args)
+        cache_dir_files = self.message_list(self.cache_path)
+        self.assertEqual(len(cache_dir_files), 1)
+        message = Message.from_file(cache_dir_files[0])
+        self.assertIsInstance(message, Message)
+        self.assertEqual(message.question, Question("What is this?"))  # type: ignore [union-attr]
+
+    def test_single_question(self) -> None:
+        self.args.ask = ["What is this?"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        self.assertEqual(message.question, Question("What is this?"))
+        self.assertEqual(len(message.question.source_code()), 0)
+
+    def test_multipart_question(self) -> None:
+        self.args.ask = ["What is this", "'bard' thing?", "Is it good?"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        self.assertEqual(message.question, Question("""What is this
+
+'bard' thing?
+
+Is it good?"""))
+
+    def test_single_question_with_text_only_file(self) -> None:
+        self.args.ask = ["What is this?"]
+        self.args.source_text = [f"{self.source_file1.name}"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        # file contains no source code (only text)
+        # -> don't expect any in the question
+        self.assertEqual(len(message.question.source_code()), 0)
+        self.assertEqual(message.question, Question(f"""What is this?
+
+{self.source_file1_content}"""))
+
+    def test_single_question_with_text_file_and_embedded_code(self) -> None:
+        self.args.ask = ["What is this?"]
+        self.args.source_code = [f"{self.source_file2.name}"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        # file contains 1 source code block
+        # -> expect it in the question
+        self.assertEqual(len(message.question.source_code()), 1)
+        self.assertEqual(message.question, Question("""What is this?
+
+```
+This is embedded source code.
+```
+"""))
+
+    def test_single_question_with_code_only_file(self) -> None:
+        self.args.ask = ["What is this?"]
+        self.args.source_code = [f"{self.source_file3.name}"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        # file is complete source code
+        self.assertEqual(len(message.question.source_code()), 1)
+        self.assertEqual(message.question, Question(f"""What is this?
+
+```
+{self.source_file3_content}
+```"""))
+
+    def test_single_question_with_text_file_and_multi_embedded_code(self) -> None:
+        self.args.ask = ["What is this?"]
+        self.args.source_code = [f"{self.source_file4.name}"]
+        message = create_message(self.chat, self.args)
+        self.assertIsInstance(message, Message)
+        # file contains 2 source code blocks
+        # -> expect them in the question
+        self.assertEqual(len(message.question.source_code()), 2)
+        self.assertEqual(message.question, Question("""What is this?
+
+```
+This is embedded source code.
+```
+
+
+```
+This is embedded source code.
+```
+"""))