refactor(agent): Remove redundant parsing functions in config classes

Pydantic has built-in typecasting logic, so converting to Python builtin types and enums is done automatically.

autogpts/autogpt/autogpt/config/config.py

@@ -63,38 +63,31 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
 
     # File storage
     file_storage_backend: FileStorageBackendName = UserConfigurable(
-        default=FileStorageBackendName.LOCAL,
-        from_env=lambda: FileStorageBackendName(v)
-        if (v := os.getenv("FILE_STORAGE_BACKEND"))
-        else None,
+        default=FileStorageBackendName.LOCAL, from_env="FILE_STORAGE_BACKEND"
     )
 
     ##########################
     # Agent Control Settings #
     ##########################
     # Paths
     ai_settings_file: Path = UserConfigurable(
-        default=AI_SETTINGS_FILE,
-        from_env=lambda: Path(f) if (f := os.getenv("AI_SETTINGS_FILE")) else None,
+        default=AI_SETTINGS_FILE, from_env="AI_SETTINGS_FILE"
     )
     prompt_settings_file: Path = UserConfigurable(
         default=PROMPT_SETTINGS_FILE,
-        from_env=lambda: Path(f) if (f := os.getenv("PROMPT_SETTINGS_FILE")) else None,
+        from_env="PROMPT_SETTINGS_FILE",
     )
 
     # Model configuration
     fast_llm: str = UserConfigurable(
         default="gpt-3.5-turbo-0125",
-        from_env=lambda: os.getenv("FAST_LLM"),
+        from_env="FAST_LLM",
     )
     smart_llm: str = UserConfigurable(
         default="gpt-4-turbo-preview",
-        from_env=lambda: os.getenv("SMART_LLM"),
-    )
-    temperature: float = UserConfigurable(
-        default=0,
-        from_env=lambda: float(v) if (v := os.getenv("TEMPERATURE")) else None,
+        from_env="SMART_LLM",
     )
+    temperature: float = UserConfigurable(default=0, from_env="TEMPERATURE")
     openai_functions: bool = UserConfigurable(
         default=False, from_env=lambda: os.getenv("OPENAI_FUNCTIONS", "False") == "True"
     )
@@ -115,10 +108,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
     memory_backend: str = UserConfigurable("json_file", from_env="MEMORY_BACKEND")
     memory_index: str = UserConfigurable("auto-gpt-memory", from_env="MEMORY_INDEX")
     redis_host: str = UserConfigurable("localhost", from_env="REDIS_HOST")
-    redis_port: int = UserConfigurable(
-        default=6379,
-        from_env=lambda: int(v) if (v := os.getenv("REDIS_PORT")) else None,
-    )
+    redis_port: int = UserConfigurable(default=6379, from_env="REDIS_PORT")
     redis_password: str = UserConfigurable("", from_env="REDIS_PASSWORD")
     wipe_redis_on_start: bool = UserConfigurable(
         default=True,
@@ -170,10 +160,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
     sd_webui_url: Optional[str] = UserConfigurable(
         default="http://localhost:7860", from_env="SD_WEBUI_URL"
     )
-    image_size: int = UserConfigurable(
-        default=256,
-        from_env=lambda: int(v) if (v := os.getenv("IMAGE_SIZE")) else None,
-    )
+    image_size: int = UserConfigurable(default=256, from_env="IMAGE_SIZE")
 
     # Audio to text
     audio_to_text_provider: str = UserConfigurable(
@@ -198,8 +185,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
     ###################
     plugins_dir: str = UserConfigurable("plugins", from_env="PLUGINS_DIR")
     plugins_config_file: Path = UserConfigurable(
-        default=PLUGINS_CONFIG_FILE,
-        from_env=lambda: Path(f) if (f := os.getenv("PLUGINS_CONFIG_FILE")) else None,
+        default=PLUGINS_CONFIG_FILE, from_env="PLUGINS_CONFIG_FILE"
     )
     plugins_config: PluginsConfig = Field(
         default_factory=lambda: PluginsConfig(plugins={})
@@ -223,8 +209,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
     # OpenAI
     openai_credentials: Optional[OpenAICredentials] = None
     azure_config_file: Optional[Path] = UserConfigurable(
-        default=AZURE_CONFIG_FILE,
-        from_env=lambda: Path(f) if (f := os.getenv("AZURE_CONFIG_FILE")) else None,
+        default=AZURE_CONFIG_FILE, from_env="AZURE_CONFIG_FILE"
     )
 
     # Github
@@ -234,7 +219,7 @@ class Config(SystemSettings, arbitrary_types_allowed=True):
     # Google
     google_api_key: Optional[str] = UserConfigurable(from_env="GOOGLE_API_KEY")
     google_custom_search_engine_id: Optional[str] = UserConfigurable(
-        from_env=lambda: os.getenv("GOOGLE_CUSTOM_SEARCH_ENGINE_ID"),
+        from_env="GOOGLE_CUSTOM_SEARCH_ENGINE_ID",
     )
 
     # Huggingface

autogpts/autogpt/autogpt/file_storage/s3.py

@@ -29,9 +29,7 @@
 
 class S3FileStorageConfiguration(FileStorageConfiguration):
     bucket: str = UserConfigurable("autogpt", from_env="STORAGE_BUCKET")
-    s3_endpoint_url: Optional[SecretStr] = UserConfigurable(
-        from_env=lambda: SecretStr(v) if (v := os.getenv("S3_ENDPOINT_URL")) else None
-    )
+    s3_endpoint_url: Optional[SecretStr] = UserConfigurable(from_env="S3_ENDPOINT_URL")
 
 
 class S3FileStorage(FileStorage):

autogpts/autogpt/autogpt/logs/config.py

@@ -57,8 +57,7 @@ class LoggingConfig(SystemConfiguration):
 
     # Console output
     log_format: LogFormatName = UserConfigurable(
-        default=LogFormatName.SIMPLE,
-        from_env=lambda: LogFormatName(os.getenv("LOG_FORMAT", "simple")),
+        default=LogFormatName.SIMPLE, from_env="LOG_FORMAT"
     )
     plain_console_output: bool = UserConfigurable(
         default=False,
@@ -69,8 +68,8 @@ class LoggingConfig(SystemConfiguration):
     log_dir: Path = LOG_DIR
     log_file_format: Optional[LogFormatName] = UserConfigurable(
         default=LogFormatName.SIMPLE,
-        from_env=lambda: LogFormatName(
-            os.getenv("LOG_FILE_FORMAT", os.getenv("LOG_FORMAT", "simple"))
+        from_env=lambda: os.getenv(
+            "LOG_FILE_FORMAT", os.getenv("LOG_FORMAT", "simple")
         ),
     )