configuration: made 'default' AI ID optional
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@ -4,25 +4,31 @@ Creates different AI instances, based on the given configuration.
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import argparse
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import argparse
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from typing import cast
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from typing import cast
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from .configuration import Config, OpenAIConfig, default_ai_ID
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from .configuration import Config, AIConfig, OpenAIConfig
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from .ai import AI, AIError
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from .ai import AI, AIError
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from .ais.openai import OpenAI
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from .ais.openai import OpenAI
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def create_ai(args: argparse.Namespace, config: Config) -> AI:
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def create_ai(args: argparse.Namespace, config: Config) -> AI: # noqa: 11
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"""
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"""
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Creates an AI subclass instance from the given arguments
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Creates an AI subclass instance from the given arguments
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and configuration file.
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and configuration file. If AI has not been set in the
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arguments, it searches for the ID 'default'. If that
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is not found, it uses the first AI in the list.
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"""
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"""
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ai_conf: AIConfig
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if args.AI:
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if args.AI:
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try:
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try:
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ai_conf = config.ais[args.AI]
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ai_conf = config.ais[args.AI]
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except KeyError:
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except KeyError:
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raise AIError(f"AI ID '{args.AI}' does not exist in this configuration")
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raise AIError(f"AI ID '{args.AI}' does not exist in this configuration")
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elif default_ai_ID in config.ais:
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elif 'default' in config.ais:
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ai_conf = config.ais[default_ai_ID]
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ai_conf = config.ais['default']
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else:
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else:
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raise AIError("No AI name given and no default exists")
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try:
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ai_conf = next(iter(config.ais.values()))
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except StopIteration:
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raise AIError("No AI found in this configuration")
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if ai_conf.name == 'openai':
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if ai_conf.name == 'openai':
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ai = OpenAI(cast(OpenAIConfig, ai_conf))
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ai = OpenAI(cast(OpenAIConfig, ai_conf))
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@ -9,7 +9,6 @@ OpenAIConfigInst = TypeVar('OpenAIConfigInst', bound='OpenAIConfig')
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supported_ais: list[str] = ['openai']
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supported_ais: list[str] = ['openai']
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default_ai_ID: str = 'default'
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default_config_path = '.config.yaml'
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default_config_path = '.config.yaml'
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@ -58,7 +57,7 @@ class OpenAIConfig(AIConfig):
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# all members have default values, so we can easily create
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# all members have default values, so we can easily create
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# a default configuration
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# a default configuration
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ID: str = 'default'
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ID: str = 'myopenai'
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api_key: str = '0123456789'
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api_key: str = '0123456789'
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model: str = 'gpt-3.5-turbo-16k'
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model: str = 'gpt-3.5-turbo-16k'
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temperature: float = 1.0
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temperature: float = 1.0
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@ -10,7 +10,7 @@ from chatmastermind.ais.openai import OpenAI
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class TestCreateAI(unittest.TestCase):
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class TestCreateAI(unittest.TestCase):
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def setUp(self) -> None:
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def setUp(self) -> None:
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self.args = MagicMock(spec=argparse.Namespace)
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self.args = MagicMock(spec=argparse.Namespace)
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self.args.AI = 'default'
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self.args.AI = 'myopenai'
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self.args.model = None
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self.args.model = None
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self.args.max_tokens = None
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self.args.max_tokens = None
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self.args.temperature = None
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self.args.temperature = None
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@ -18,7 +18,7 @@ class TestCreateAI(unittest.TestCase):
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def test_create_ai_from_args(self) -> None:
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def test_create_ai_from_args(self) -> None:
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# Create an AI with the default configuration
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# Create an AI with the default configuration
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config = Config()
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config = Config()
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self.args.AI = 'default'
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self.args.AI = 'myopenai'
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ai = create_ai(self.args, config)
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ai = create_ai(self.args, config)
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self.assertIsInstance(ai, OpenAI)
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self.assertIsInstance(ai, OpenAI)
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@ -59,7 +59,7 @@ class TestConfig(unittest.TestCase):
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source_dict = {
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source_dict = {
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'db': './test_db/',
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'db': './test_db/',
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'ais': {
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'ais': {
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'default': {
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'myopenai': {
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'name': 'openai',
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'name': 'openai',
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'system': 'Custom system',
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'system': 'Custom system',
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'api_key': '9876543210',
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'api_key': '9876543210',
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@ -75,10 +75,10 @@ class TestConfig(unittest.TestCase):
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config = Config.from_dict(source_dict)
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config = Config.from_dict(source_dict)
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self.assertEqual(config.db, './test_db/')
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self.assertEqual(config.db, './test_db/')
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self.assertEqual(len(config.ais), 1)
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self.assertEqual(len(config.ais), 1)
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self.assertEqual(config.ais['default'].name, 'openai')
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self.assertEqual(config.ais['myopenai'].name, 'openai')
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self.assertEqual(cast(OpenAIConfig, config.ais['default']).system, 'Custom system')
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self.assertEqual(cast(OpenAIConfig, config.ais['myopenai']).system, 'Custom system')
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# check that 'ID' has been added
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# check that 'ID' has been added
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self.assertEqual(config.ais['default'].ID, 'default')
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self.assertEqual(config.ais['myopenai'].ID, 'myopenai')
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def test_create_default_should_create_default_config(self) -> None:
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def test_create_default_should_create_default_config(self) -> None:
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Config.create_default(Path(self.test_file.name))
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Config.create_default(Path(self.test_file.name))
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@ -117,8 +117,8 @@ class TestConfig(unittest.TestCase):
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config = Config(
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config = Config(
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db='./test_db/',
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db='./test_db/',
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ais={
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ais={
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'default': OpenAIConfig(
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'myopenai': OpenAIConfig(
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ID='default',
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ID='myopenai',
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system='Custom system',
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system='Custom system',
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api_key='9876543210',
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api_key='9876543210',
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model='custom_model',
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model='custom_model',
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@ -135,7 +135,7 @@ class TestConfig(unittest.TestCase):
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saved_config = yaml.load(f, Loader=yaml.FullLoader)
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saved_config = yaml.load(f, Loader=yaml.FullLoader)
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self.assertEqual(saved_config['db'], './test_db/')
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self.assertEqual(saved_config['db'], './test_db/')
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self.assertEqual(len(saved_config['ais']), 1)
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self.assertEqual(len(saved_config['ais']), 1)
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self.assertEqual(saved_config['ais']['default']['system'], 'Custom system')
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self.assertEqual(saved_config['ais']['myopenai']['system'], 'Custom system')
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def test_from_file_error_unknown_ai(self) -> None:
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def test_from_file_error_unknown_ai(self) -> None:
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source_dict = {
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source_dict = {
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