script to create, load and save adapters metadata

ml/adapter_metadata.py

@@ -0,0 +1,41 @@
+from dataclasses import dataclass
+from datetime import datetime
+from typing import List, Dict
+import json
+
+@dataclass
+class AdapterMetadata:
+    """Metadata for tracking adapter training history"""
+    training_timestamp: str  # ISO format timestamp
+    training_params: Dict  # Training parameters used
+    model_name: str  # Base model name
+    language: str  # Language of the adapter
+    version: str  # Version of the adapter
+
+    # Create class instance from a dictionary
+    @classmethod
+    def from_dict(cls, data: Dict):
+        return cls(**data)
+
+    # Convert class instance to a dictionary
+    def to_dict(self) -> Dict:
+        return {
+            "training_timestamp": self.training_timestamp,
+            "dataset_entries": self.dataset_entries,
+            "training_params": self.training_params,
+            "model_name": self.model_name,
+            "language": self.language,
+            "version": self.version
+        }
+
+    # Save metadata to a JSON file
+    def save(self, filepath: str):
+        with open(filepath, 'w') as f:
+            json.dump(self.to_dict(), f, indent=2)
+
+    # Load metadata from a JSON file
+    @classmethod
+    def load(cls, filepath: str):
+        with open(filepath, 'r') as f:
+            data = json.load(f)
+        return cls.from_dict(data)