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| """ | |
| Latent DAG 图节点增量缓存引擎 (ComfyUI Style) | |
| Author: XiaoZhe (Commercial Contact: janejulius119@gmail.com / WeChat: julius119) | |
| """ | |
| import hashlib | |
| import json | |
| import logging | |
| from typing import Dict, Any, Optional | |
| logger = logging.getLogger("VerseFlow.GraphCache") | |
| class LatentGraphCacheEngine: | |
| """DAG 中间 Latent 特征缓存器,支持增量重绘与算力节省""" | |
| def __init__(self): | |
| self._cache_store: Dict[str, Dict[str, Any]] = {} | |
| def compute_node_hash(self, node_id: str, inputs: Dict[str, Any], upstream_hashes: Dict[str, str]) -> str: | |
| hasher = hashlib.sha256() | |
| hasher.update(node_id.encode('utf-8')) | |
| inputs_str = json.dumps(inputs, sort_keys=True, default=str) | |
| hasher.update(inputs_str.encode('utf-8')) | |
| for up_id, up_hash in sorted(upstream_hashes.items()): | |
| hasher.update(f"{up_id}:{up_hash}".encode('utf-8')) | |
| return hasher.hexdigest() | |
| def get_cached_latent(self, node_hash: str) -> Optional[Dict[str, Any]]: | |
| if node_hash in self._cache_store: | |
| logger.info(f"⚡ [GraphCache Hit] 命中增量缓存 Hash: {node_hash[:12]}...") | |
| return self._cache_store[node_hash] | |
| return None | |
| def store_latent(self, node_hash: str, latent_data: Dict[str, Any]): | |
| self._cache_store[node_hash] = latent_data | |
| logger.info(f"💾 [GraphCache Saved] 保存 Latent 特征至缓存 Hash: {node_hash[:12]}...") |