202 lines
8.8 KiB
Python
202 lines
8.8 KiB
Python
"""
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Dynamic model registry that collects models from all AI connectors.
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Implements plugin-like architecture for connector discovery.
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"""
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import logging
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import importlib
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import os
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from typing import Dict, List, Optional, Any
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from modules.datamodels.datamodelAi import AiModel
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from modules.aicore.aicoreBase import BaseConnectorAi
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logger = logging.getLogger(__name__)
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class ModelRegistry:
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"""Dynamic registry for AI models from all connectors."""
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def __init__(self):
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self._models: Dict[str, AiModel] = {}
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self._connectors: Dict[str, BaseConnectorAi] = {}
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self._lastRefresh: Optional[float] = None
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self._refreshInterval: float = 300.0 # 5 minutes
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def registerConnector(self, connector: BaseConnectorAi):
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"""Register a connector and collect its models."""
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connectorType = connector.getConnectorType()
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# If connector already registered, skip re-registration to avoid duplicate models
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if connectorType in self._connectors:
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logger.debug(f"Connector {connectorType} already registered, skipping re-registration")
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return
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self._connectors[connectorType] = connector
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# Collect models from this connector
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try:
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models = connector.getCachedModels()
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for model in models:
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# Validate displayName uniqueness
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if model.displayName in self._models:
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existingModel = self._models[model.displayName]
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errorMsg = f"Duplicate displayName '{model.displayName}' detected! Existing model: displayName='{existingModel.displayName}', name='{existingModel.name}' (connector: {existingModel.connectorType}), New model: displayName='{model.displayName}', name='{model.name}' (connector: {connectorType}). displayName must be unique."
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logger.error(errorMsg)
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raise ValueError(errorMsg)
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# Use displayName as the key (must be unique)
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self._models[model.displayName] = model
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logger.debug(f"Registered model: {model.displayName} (name: {model.name}) from {connectorType}")
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except Exception as e:
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logger.error(f"Failed to register models from {connectorType}: {e}")
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raise
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def discoverConnectors(self) -> List[BaseConnectorAi]:
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"""Auto-discover connectors by scanning aicorePlugin*.py files."""
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connectors = []
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connectorDir = os.path.dirname(__file__)
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# Scan for connector files
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for filename in os.listdir(connectorDir):
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if filename.startswith('aicorePlugin') and filename.endswith('.py'):
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moduleName = filename[:-3] # Remove .py extension
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try:
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# Import the module
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module = importlib.import_module(f'modules.aicore.{moduleName}')
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# Find connector classes (classes that inherit from BaseConnectorAi)
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for attrName in dir(module):
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attr = getattr(module, attrName)
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if (isinstance(attr, type) and
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issubclass(attr, BaseConnectorAi) and
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attr != BaseConnectorAi):
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# Instantiate the connector
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connector = attr()
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connectors.append(connector)
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logger.info(f"Discovered connector: {connector.getConnectorType()}")
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except Exception as e:
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logger.warning(f"Failed to discover connector from {filename}: {e}")
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return connectors
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def refreshModels(self, force: bool = False):
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"""Refresh models from all registered connectors."""
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import time
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currentTime = time.time()
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# Check if refresh is needed
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if (not force and
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self._lastRefresh is not None and
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currentTime - self._lastRefresh < self._refreshInterval):
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return
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logger.info("Refreshing model registry...")
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# Clear existing models
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self._models.clear()
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# Re-register all connectors
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for connector in self._connectors.values():
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try:
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connector.clearCache() # Clear connector cache
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models = connector.getCachedModels()
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for model in models:
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# Validate displayName uniqueness
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if model.displayName in self._models:
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existingModel = self._models[model.displayName]
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errorMsg = f"Duplicate displayName '{model.displayName}' detected! Existing model: displayName='{existingModel.displayName}', name='{existingModel.name}' (connector: {existingModel.connectorType}), New model: displayName='{model.displayName}', name='{model.name}' (connector: {connector.getConnectorType()}). displayName must be unique."
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logger.error(errorMsg)
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raise ValueError(errorMsg)
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# Use displayName as the key (must be unique)
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self._models[model.displayName] = model
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except Exception as e:
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logger.error(f"Failed to refresh models from {connector.getConnectorType()}: {e}")
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raise
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self._lastRefresh = currentTime
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logger.info(f"Model registry refreshed: {len(self._models)} models available")
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def getModel(self, displayName: str) -> Optional[AiModel]:
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"""Get a specific model by displayName (displayName must be unique)."""
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self.refreshModels()
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return self._models.get(displayName)
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def getModels(self) -> List[AiModel]:
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"""Get all available models."""
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self.refreshModels()
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return list(self._models.values())
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def getModelsByConnector(self, connectorType: str) -> List[AiModel]:
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"""Get models from a specific connector."""
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self.refreshModels()
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return [model for model in self._models.values() if model.connectorType == connectorType]
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def getModelsByPriority(self, priority: str) -> List[AiModel]:
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"""Get models that have a specific priority."""
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self.refreshModels()
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return [model for model in self._models.values() if model.priority == priority]
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def getAvailableModels(self) -> List[AiModel]:
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"""Get only available models."""
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self.refreshModels()
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allModels = list(self._models.values())
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availableModels = [model for model in allModels if model.isAvailable]
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unavailableCount = len(allModels) - len(availableModels)
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if unavailableCount > 0:
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unavailableModels = [m.name for m in allModels if not m.isAvailable]
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logger.debug(f"getAvailableModels: {len(availableModels)} available, {unavailableCount} unavailable. Unavailable: {unavailableModels}")
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logger.debug(f"getAvailableModels: Returning {len(availableModels)} models: {[m.name for m in availableModels]}")
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return availableModels
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def getConnectorForModel(self, displayName: str) -> Optional[BaseConnectorAi]:
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"""Get the connector instance for a specific model by displayName."""
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model = self.getModel(displayName)
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if model:
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return self._connectors.get(model.connectorType)
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return None
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def getModelStats(self) -> Dict[str, Any]:
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"""Get statistics about the model registry."""
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self.refreshModels()
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stats = {
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"totalModels": len(self._models),
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"availableModels": len([m for m in self._models.values() if m.isAvailable]),
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"connectors": len(self._connectors),
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"byConnector": {},
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"byCapability": {},
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"byPriority": {}
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}
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# Count by connector
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for model in self._models.values():
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connector = model.connectorType
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if connector not in stats["byConnector"]:
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stats["byConnector"][connector] = 0
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stats["byConnector"][connector] += 1
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# Count by capability
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for model in self._models.values():
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for capability in model.capabilities:
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if capability not in stats["byCapability"]:
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stats["byCapability"][capability] = 0
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stats["byCapability"][capability] += 1
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# Count by priority
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for model in self._models.values():
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priority = model.priority
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if priority not in stats["byPriority"]:
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stats["byPriority"][priority] = 0
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stats["byPriority"][priority] += 1
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return stats
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# Global registry instance
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modelRegistry = ModelRegistry()
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