import torch.nn as nn
import torch.nn.functional as F
from .vision import MinamoVisionModel
from .topo import MinamoTopoModel

class MinamoModel(nn.Module):
    def __init__(self, tile_types=32, embedding_dim=16, conv_channels=16):
        super().__init__()
        # 视觉相似度部分
        self.vision_model = MinamoVisionModel(tile_types, embedding_dim, conv_channels)
        # 拓扑相似度部分
        self.topo_model = MinamoTopoModel(tile_types)

    def forward(self, map1, map2, graph1, graph2):
        vision_sim = self.vision_model(map1, map2)
        
        topo_feat1 = self.topo_model(graph1)
        topo_feat2 = self.topo_model(graph2)
        
        return vision_sim, F.cosine_similarity(topo_feat1, topo_feat2, -1).unsqueeze(-1)