# orascope/core/integration.py
import maniscope as ms
import semanscope as ss
import numpy as np

class OrascopeLens:
    """The central orchestrator for the Orascope instrument."""
    def __init__(self, visual_data, semantic_data):
        self.retriever = ms.ManiscopeRAG() # From maniscope
        self.visualizer = ss.PHATEPlotter() # From semanscope
        self.v_data = visual_data
        self.s_data = semantic_data

    def calculate_evolutionary_drift(self, img_embed, txt_embed):
        """Measures the 'warping' energy between ancient and modern forms."""
        # Shift visual manifold to semantic centroid
        gap_vec = np.mean(self.s_data, axis=0) - np.mean(self.v_data, axis=0)
        aligned_img = img_embed + gap_vec
        
        # Calculate Geodesic Drift
        return np.linalg.norm(aligned_img - txt_embed)

    def decipher_unknown(self, unknown_img_embed):
        """Pipeline: Project -> Retrieve -> Decipher"""
        # 1. Project to PHATE manifold (Semanscope)
        coords = self.visualizer.transform(unknown_img_embed)
        
        # 2. Retrieve Grounded Context (Maniscope)
        report = self.retriever.search(coords, top_k=5)
        
        return report