question_cmd: when no tags are specified, no tags are selected

Reviewed-on: #6

chatmastermind/ai_factory.py

@@ -4,31 +4,25 @@ Creates different AI instances, based on the given configuration.
 
 import argparse
 from typing import cast
-from .configuration import Config, AIConfig, OpenAIConfig
+from .configuration import Config, OpenAIConfig, default_ai_ID
 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) -> 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.
+    and configuration file.
     """
-    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']
+    elif default_ai_ID in config.ais:
+        ai_conf = config.ais[default_ai_ID]
     else:
-        try:
-            ai_conf = next(iter(config.ais.values()))
-        except StopIteration:
-            raise AIError("No AI found in this configuration")
+        raise AIError("No AI name given and no default exists")
 
     if ai_conf.name == 'openai':
         ai = OpenAI(cast(OpenAIConfig, ai_conf))

chatmastermind/chat.py

@@ -62,10 +62,7 @@ def make_file_path(dir_path: Path,
     Create a file_path for the given directory using the
     given file_suffix and ID generator function.
     """
-    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
+    return dir_path / f"{next_fid():04d}{file_suffix}"
 
 
 def write_dir(dir_path: Path,

chatmastermind/configuration.py

@@ -9,6 +9,7 @@ OpenAIConfigInst = TypeVar('OpenAIConfigInst', bound='OpenAIConfig')
 
 
 supported_ais: list[str] = ['openai']
+default_ai_ID: str = 'default'
 default_config_path = '.config.yaml'
 
 
@@ -16,18 +17,6 @@ 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:
     """
@@ -57,15 +46,15 @@ class OpenAIConfig(AIConfig):
 
     # all members have default values, so we can easily create
     # a default configuration
-    ID: str = 'myopenai'
+    ID: str = 'default'
     api_key: str = '0123456789'
+    system: str = 'You are an assistant'
     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:
@@ -73,14 +62,14 @@ class OpenAIConfig(AIConfig):
         Create OpenAIConfig from a dict.
         """
         res = cls(
+            system=str(source['system']),
             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']),
-            system=str(source['system'])
+            presence_penalty=float(source['presence_penalty'])
         )
         # overwrite default ID if provided
         if 'ID' in source:
@@ -159,8 +148,6 @@ class Config:
 
     def as_dict(self) -> dict[str, Any]:
         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}
+            conf.update({'name': self.ais[ID].name})
         return res

chatmastermind/message.py

@@ -3,8 +3,6 @@ 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
@@ -447,18 +445,16 @@ class Message():
             * Answer.txt_header
             * Answer
         """
-        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)
+        with open(file_path, "w") as fd:
             if self.tags:
-                temp_fd.write(f'{TagLine.from_set(self.tags)}\n')
+                fd.write(f'{TagLine.from_set(self.tags)}\n')
             if self.ai:
-                temp_fd.write(f'{AILine.from_ai(self.ai)}\n')
+                fd.write(f'{AILine.from_ai(self.ai)}\n')
             if self.model:
-                temp_fd.write(f'{ModelLine.from_model(self.model)}\n')
-            temp_fd.write(f'{Question.txt_header}\n{self.question}\n')
+                fd.write(f'{ModelLine.from_model(self.model)}\n')
+            fd.write(f'{Question.txt_header}\n{self.question}\n')
             if self.answer:
-                temp_fd.write(f'{Answer.txt_header}\n{self.answer}\n')
-        shutil.move(temp_file_path, file_path)
+                fd.write(f'{Answer.txt_header}\n{self.answer}\n')
 
     def __to_file_yaml(self, file_path: pathlib.Path) -> None:
         """
@@ -470,8 +466,7 @@ class Message():
             * Message.ai_yaml_key: str [Optional]
             * Message.model_yaml_key: str [Optional]
         """
-        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)
+        with open(file_path, "w") as fd:
             data: YamlDict = {Question.yaml_key: str(self.question)}
             if self.answer:
                 data[Answer.yaml_key] = str(self.answer)
@@ -481,8 +476,7 @@ 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, temp_fd, sort_keys=False)
-        shutil.move(temp_file_path, file_path)
+            yaml.dump(data, fd, sort_keys=False)
 
     def filter_tags(self, prefix: Optional[str] = None, contain: Optional[str] = None) -> set[Tag]:
         """

tests/test_ai_factory.py

@@ -10,7 +10,7 @@ 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.AI = 'default'
         self.args.model = None
         self.args.max_tokens = None
         self.args.temperature = None
@@ -18,7 +18,7 @@ class TestCreateAI(unittest.TestCase):
     def test_create_ai_from_args(self) -> None:
         # Create an AI with the default configuration
         config = Config()
-        self.args.AI = 'myopenai'
+        self.args.AI = 'default'
         ai = create_ai(self.args, config)
         self.assertIsInstance(ai, OpenAI)
 

tests/test_chat.py

@@ -481,8 +481,3 @@ class TestChatDB(unittest.TestCase):
         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

@@ -59,7 +59,7 @@ class TestConfig(unittest.TestCase):
         source_dict = {
             'db': './test_db/',
             'ais': {
-                'myopenai': {
+                'default': {
                     'name': 'openai',
                     'system': 'Custom system',
                     'api_key': '9876543210',
@@ -75,10 +75,10 @@ class TestConfig(unittest.TestCase):
         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')
+        self.assertEqual(config.ais['default'].name, 'openai')
+        self.assertEqual(cast(OpenAIConfig, config.ais['default']).system, 'Custom system')
         # check that 'ID' has been added
-        self.assertEqual(config.ais['myopenai'].ID, 'myopenai')
+        self.assertEqual(config.ais['default'].ID, 'default')
 
     def test_create_default_should_create_default_config(self) -> None:
         Config.create_default(Path(self.test_file.name))
@@ -117,8 +117,8 @@ class TestConfig(unittest.TestCase):
         config = Config(
             db='./test_db/',
             ais={
-                'myopenai': OpenAIConfig(
-                    ID='myopenai',
+                'default': OpenAIConfig(
+                    ID='default',
                     system='Custom system',
                     api_key='9876543210',
                     model='custom_model',
@@ -135,7 +135,7 @@ class TestConfig(unittest.TestCase):
             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')
+        self.assertEqual(saved_config['ais']['default']['system'], 'Custom system')
 
     def test_from_file_error_unknown_ai(self) -> None:
         source_dict = {