84de9b026f
Improvements based on gemini-code-assist bot feedback:
1. **Proper importlib.resources implementation:**
- Use files("providers") / "../conf/custom_models.json" for resource loading
- Prioritize resource loading over file system paths for packaged environments
- Maintain backward compatibility with explicit config paths and env variables
2. **Remove redundant path checks:**
- Eliminated duplicate Path("conf/custom_models.json") and Path.cwd() / "conf/custom_models.json"
- Streamlined fallback logic to development path + working directory only
3. **Enhanced test coverage:**
- Mock-based testing of actual fallback scenarios with Path.exists
- Proper resource loading simulation and failure testing
- Comprehensive coverage of both resource and file system modes
4. **Robust error handling:**
- Graceful fallback from resources to file system when resource loading fails
- Clear logging of which loading method is being used
- Better error messages indicating resource vs file system loading
The implementation now follows Python packaging best practices using importlib.resources
while maintaining full backward compatibility and robust fallback behavior.
Tested: All 8 test cases pass, resource loading works in development,
file system fallback works when resources fail.
277 lines
11 KiB
Python
277 lines
11 KiB
Python
"""OpenRouter model registry for managing model configurations and aliases."""
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import logging
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import os
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from pathlib import Path
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from typing import Optional
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try:
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from importlib.resources import files
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except ImportError:
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# Python < 3.9 fallback
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from importlib_resources import files
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from utils.file_utils import read_json_file
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from .base import (
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ModelCapabilities,
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ProviderType,
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create_temperature_constraint,
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)
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class OpenRouterModelRegistry:
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"""Registry for managing OpenRouter model configurations and aliases."""
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def __init__(self, config_path: Optional[str] = None):
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"""Initialize the registry.
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Args:
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config_path: Path to config file. If None, uses default locations.
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"""
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self.alias_map: dict[str, str] = {} # alias -> model_name
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self.model_map: dict[str, ModelCapabilities] = {} # model_name -> config
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# Determine config path and loading strategy
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self.use_resources = False
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if config_path:
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# Direct config_path parameter
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self.config_path = Path(config_path)
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else:
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# Check environment variable first
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env_path = os.getenv("CUSTOM_MODELS_CONFIG_PATH")
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if env_path:
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# Environment variable path
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self.config_path = Path(env_path)
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else:
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# Try importlib.resources first (proper way for packaged environments)
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try:
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# Test if we can access the config via resources
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resource_path = files("providers") / "../conf/custom_models.json"
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if hasattr(resource_path, "read_text"):
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# Resource exists and is accessible
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self.config_path = None
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self.use_resources = True
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else:
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raise FileNotFoundError("Resource method not available")
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except Exception:
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# Fall back to file system paths
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potential_paths = [
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Path(__file__).parent.parent / "conf" / "custom_models.json", # Development
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Path("conf/custom_models.json"), # Working directory
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]
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# Find first existing path
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self.config_path = None
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for path in potential_paths:
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if path.exists():
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self.config_path = path
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break
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# If none found, default to the first one for error reporting
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if self.config_path is None:
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self.config_path = potential_paths[0]
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# Load configuration
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self.reload()
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def reload(self) -> None:
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"""Reload configuration from disk."""
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try:
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configs = self._read_config()
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self._build_maps(configs)
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caller_info = ""
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try:
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import inspect
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caller_frame = inspect.currentframe().f_back
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if caller_frame:
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caller_name = caller_frame.f_code.co_name
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caller_file = (
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caller_frame.f_code.co_filename.split("/")[-1] if caller_frame.f_code.co_filename else "unknown"
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)
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# Look for tool context
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while caller_frame:
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frame_locals = caller_frame.f_locals
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if "self" in frame_locals and hasattr(frame_locals["self"], "get_name"):
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tool_name = frame_locals["self"].get_name()
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caller_info = f" (called from {tool_name} tool)"
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break
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caller_frame = caller_frame.f_back
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if not caller_info:
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caller_info = f" (called from {caller_name} in {caller_file})"
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except Exception:
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# If frame inspection fails, just continue without caller info
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pass
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logging.debug(
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f"Loaded {len(self.model_map)} OpenRouter models with {len(self.alias_map)} aliases{caller_info}"
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)
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except ValueError as e:
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# Re-raise ValueError only for duplicate aliases (critical config errors)
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logging.error(f"Failed to load OpenRouter model configuration: {e}")
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# Initialize with empty maps on failure
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self.alias_map = {}
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self.model_map = {}
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if "Duplicate alias" in str(e):
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raise
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except Exception as e:
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logging.error(f"Failed to load OpenRouter model configuration: {e}")
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# Initialize with empty maps on failure
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self.alias_map = {}
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self.model_map = {}
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def _read_config(self) -> list[ModelCapabilities]:
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"""Read configuration from file or package resources.
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Returns:
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List of model configurations
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"""
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try:
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if self.use_resources:
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# Use importlib.resources for packaged environments
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try:
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resource_path = files("providers") / "../conf/custom_models.json"
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if hasattr(resource_path, "read_text"):
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# Python 3.9+
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config_text = resource_path.read_text(encoding="utf-8")
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else:
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# Python 3.8 fallback
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with resource_path.open("r", encoding="utf-8") as f:
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config_text = f.read()
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import json
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data = json.loads(config_text)
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logging.debug("Loaded OpenRouter config from package resources")
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except Exception as e:
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logging.warning(f"Failed to load config from resources: {e}")
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return []
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else:
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# Use file path loading
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if not self.config_path.exists():
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logging.warning(f"OpenRouter model config not found at {self.config_path}")
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return []
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# Use centralized JSON reading utility
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data = read_json_file(str(self.config_path))
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logging.debug(f"Loaded OpenRouter config from file: {self.config_path}")
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if data is None:
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location = "resources" if self.use_resources else str(self.config_path)
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raise ValueError(f"Could not read or parse JSON from {location}")
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# Parse models
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configs = []
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for model_data in data.get("models", []):
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# Create ModelCapabilities directly from JSON data
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# Handle temperature_constraint conversion
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temp_constraint_str = model_data.get("temperature_constraint")
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temp_constraint = create_temperature_constraint(temp_constraint_str or "range")
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# Set provider-specific defaults based on is_custom flag
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is_custom = model_data.get("is_custom", False)
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if is_custom:
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model_data.setdefault("provider", ProviderType.CUSTOM)
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model_data.setdefault("friendly_name", f"Custom ({model_data.get('model_name', 'Unknown')})")
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else:
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model_data.setdefault("provider", ProviderType.OPENROUTER)
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model_data.setdefault("friendly_name", f"OpenRouter ({model_data.get('model_name', 'Unknown')})")
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model_data["temperature_constraint"] = temp_constraint
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# Remove the string version of temperature_constraint before creating ModelCapabilities
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if "temperature_constraint" in model_data and isinstance(model_data["temperature_constraint"], str):
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del model_data["temperature_constraint"]
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model_data["temperature_constraint"] = temp_constraint
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config = ModelCapabilities(**model_data)
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configs.append(config)
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return configs
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except ValueError:
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# Re-raise ValueError for specific config errors
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raise
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except Exception as e:
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location = "resources" if self.use_resources else str(self.config_path)
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raise ValueError(f"Error reading config from {location}: {e}")
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def _build_maps(self, configs: list[ModelCapabilities]) -> None:
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"""Build alias and model maps from configurations.
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Args:
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configs: List of model configurations
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"""
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alias_map = {}
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model_map = {}
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for config in configs:
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# Add to model map
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model_map[config.model_name] = config
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# Add the model_name itself as an alias for case-insensitive lookup
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# But only if it's not already in the aliases list
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model_name_lower = config.model_name.lower()
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aliases_lower = [alias.lower() for alias in config.aliases]
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if model_name_lower not in aliases_lower:
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if model_name_lower in alias_map:
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existing_model = alias_map[model_name_lower]
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if existing_model != config.model_name:
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raise ValueError(
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f"Duplicate model name '{config.model_name}' (case-insensitive) found for models "
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f"'{existing_model}' and '{config.model_name}'"
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)
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else:
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alias_map[model_name_lower] = config.model_name
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# Add aliases
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for alias in config.aliases:
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alias_lower = alias.lower()
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if alias_lower in alias_map:
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existing_model = alias_map[alias_lower]
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raise ValueError(
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f"Duplicate alias '{alias}' found for models '{existing_model}' and '{config.model_name}'"
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)
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alias_map[alias_lower] = config.model_name
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# Atomic update
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self.alias_map = alias_map
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self.model_map = model_map
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def resolve(self, name_or_alias: str) -> Optional[ModelCapabilities]:
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"""Resolve a model name or alias to configuration.
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Args:
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name_or_alias: Model name or alias to resolve
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Returns:
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Model configuration if found, None otherwise
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"""
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# Try alias lookup (case-insensitive) - this now includes model names too
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alias_lower = name_or_alias.lower()
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if alias_lower in self.alias_map:
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model_name = self.alias_map[alias_lower]
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return self.model_map.get(model_name)
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return None
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def get_capabilities(self, name_or_alias: str) -> Optional[ModelCapabilities]:
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"""Get model capabilities for a name or alias.
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Args:
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name_or_alias: Model name or alias
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Returns:
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ModelCapabilities if found, None otherwise
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"""
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# Registry now returns ModelCapabilities directly
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return self.resolve(name_or_alias)
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def list_models(self) -> list[str]:
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"""List all available model names."""
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return list(self.model_map.keys())
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def list_aliases(self) -> list[str]:
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"""List all available aliases."""
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return list(self.alias_map.keys())
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