Config: Move config file generation to tabby_config

Keep the models as a separate reference file without any extra
functions.

Signed-off-by: kingbri <bdashore3@proton.me>

common/actions.py

@@ -1,8 +1,7 @@
 import json
 from loguru import logger
 
-from common.config_models import generate_config_file
+from common.tabby_config import config, generate_config_file
-from common.tabby_config import config
 from endpoints.server import export_openapi
 
 
@@ -18,10 +17,8 @@ def branch_to_actions() -> bool:
                 "Successfully wrote OpenAPI spec to "
                 + f"{config.actions.openapi_export_path}"
             )
-
     elif config.actions.export_config:
         generate_config_file(filename=config.actions.config_export_path)
-
     else:
         # did not branch
         return False

common/config_models.py

@@ -1,11 +1,7 @@
-from inspect import getdoc
 from pathlib import Path
 from pydantic import BaseModel, ConfigDict, Field, PrivateAttr
-from pydantic_core import PydanticUndefined
-from textwrap import dedent
 from typing import List, Literal, Optional, Union
 
-from common.utils import unwrap
 
 CACHE_SIZES = Literal["FP16", "Q8", "Q6", "Q4"]
 
@@ -468,78 +464,3 @@ class TabbyConfigModel(BaseModel):
     )
 
     model_config = ConfigDict(validate_assignment=True, protected_namespaces=())
-
-
-# TODO: Possibly switch to ruamel.yaml for a more native implementation
-def generate_config_file(
-    model: BaseConfigModel = None,
-    filename: str = "config_sample.yml",
-    indentation: int = 2,
-) -> None:
-    """Creates a config.yml file from Pydantic models."""
-
-    # Add a preamble
-    yaml = dedent("""
-    # Sample YAML file for configuration.
-    # Comment and uncomment values as needed.
-    # Every value has a default within the application.
-    # This file serves to be a drop in for config.yml
-
-    # Unless specified in the comments, DO NOT put these options in quotes!
-    # You can use https://www.yamllint.com/ if you want to check your YAML formatting.\n
-    """)
-
-    schema = unwrap(model, TabbyConfigModel())
-
-    # TODO: Make the disordered iteration look cleaner
-    iter_once = False
-    for field, field_data in schema.model_fields.items():
-        # Fetch from the existing model class if it's passed
-        # Probably can use this on schema too, but play it safe
-        if model and hasattr(model, field):
-            subfield_model = getattr(model, field)
-        else:
-            subfield_model = field_data.default_factory()
-
-        if not subfield_model._metadata.include_in_config:
-            continue
-
-        # Since the list is out of order with the length
-        # Add newlines from the beginning once one iteration finishes
-        # This is a sanity check for formatting
-        if iter_once:
-            yaml += "\n"
-        else:
-            iter_once = True
-
-        for line in getdoc(subfield_model).splitlines():
-            yaml += f"# {line}\n"
-
-        yaml += f"{field}:\n"
-
-        sub_iter_once = False
-        for subfield, subfield_data in subfield_model.model_fields.items():
-            # Same logic as iter_once
-            if sub_iter_once:
-                yaml += "\n"
-            else:
-                sub_iter_once = True
-
-            # If a value already exists, use it
-            if hasattr(subfield_model, subfield):
-                value = getattr(subfield_model, subfield)
-            elif subfield_data.default_factory:
-                value = subfield_data.default_factory()
-            else:
-                value = subfield_data.default
-
-            value = value if value is not None else ""
-            value = value if value is not PydanticUndefined else ""
-
-            for line in subfield_data.description.splitlines():
-                yaml += f"{' ' * indentation}# {line}\n"
-
-            yaml += f"{' ' * indentation}{subfield}: {value}\n"
-
-    with open(filename, "w") as f:
-        f.write(yaml)

common/tabby_config.py

@@ -1,11 +1,14 @@
 import yaml
 import pathlib
+from inspect import getdoc
+from pydantic_core import PydanticUndefined
 from loguru import logger
+from textwrap import dedent
 from typing import Optional
 from os import getenv
 
 from common.utils import unwrap, merge_dicts
-from common.config_models import TabbyConfigModel, generate_config_file
+from common.config_models import BaseConfigModel, TabbyConfigModel
 
 
 class TabbyConfig(TabbyConfigModel):
@@ -159,3 +162,78 @@ class TabbyConfig(TabbyConfigModel):
 
 # Create an empty instance of the config class
 config: TabbyConfig = TabbyConfig()
+
+
+# TODO: Possibly switch to ruamel.yaml for a more native implementation
+def generate_config_file(
+    model: BaseConfigModel = None,
+    filename: str = "config_sample.yml",
+    indentation: int = 2,
+) -> None:
+    """Creates a config.yml file from Pydantic models."""
+
+    # Add a preamble
+    yaml = dedent("""
+    # Sample YAML file for configuration.
+    # Comment and uncomment values as needed.
+    # Every value has a default within the application.
+    # This file serves to be a drop in for config.yml
+
+    # Unless specified in the comments, DO NOT put these options in quotes!
+    # You can use https://www.yamllint.com/ if you want to check your YAML formatting.\n
+    """)
+
+    schema = unwrap(model, TabbyConfigModel())
+
+    # TODO: Make the disordered iteration look cleaner
+    iter_once = False
+    for field, field_data in schema.model_fields.items():
+        # Fetch from the existing model class if it's passed
+        # Probably can use this on schema too, but play it safe
+        if model and hasattr(model, field):
+            subfield_model = getattr(model, field)
+        else:
+            subfield_model = field_data.default_factory()
+
+        if not subfield_model._metadata.include_in_config:
+            continue
+
+        # Since the list is out of order with the length
+        # Add newlines from the beginning once one iteration finishes
+        # This is a sanity check for formatting
+        if iter_once:
+            yaml += "\n"
+        else:
+            iter_once = True
+
+        for line in getdoc(subfield_model).splitlines():
+            yaml += f"# {line}\n"
+
+        yaml += f"{field}:\n"
+
+        sub_iter_once = False
+        for subfield, subfield_data in subfield_model.model_fields.items():
+            # Same logic as iter_once
+            if sub_iter_once:
+                yaml += "\n"
+            else:
+                sub_iter_once = True
+
+            # If a value already exists, use it
+            if hasattr(subfield_model, subfield):
+                value = getattr(subfield_model, subfield)
+            elif subfield_data.default_factory:
+                value = subfield_data.default_factory()
+            else:
+                value = subfield_data.default
+
+            value = value if value is not None else ""
+            value = value if value is not PydanticUndefined else ""
+
+            for line in subfield_data.description.splitlines():
+                yaml += f"{' ' * indentation}# {line}\n"
+
+            yaml += f"{' ' * indentation}{subfield}: {value}\n"
+
+    with open(filename, "w") as f:
+        f.write(yaml)