Files

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Python

'''
Author: ai-business-hql ai.bussiness.hql@gmail.com
Date: 2025-08-26 15:06:47
LastEditors: ai-business-hql ai.bussiness.hql@gmail.com
LastEditTime: 2025-09-01 19:31:03
FilePath: /ComfyUI-Copilot/backend/utils/modelscope_gateway.py
Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
'''
import os
from typing import Any, Dict, List, Optional
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from .logger import log
import folder_paths
class ModelScopeGateway:
BASE_URL = "https://www.modelscope.cn"
SUGGEST_ENDPOINT = f"{BASE_URL}/api/v1/dolphin/model/suggestv2"
SEARCH_ENDPOINT = f"{BASE_URL}/api/v1/dolphin/models"
SEARCH_SINGLE_ENDPOINT = f"{BASE_URL}/api/v1/models"
def __init__(self, timeout: float = 10.0, retries: int = 3, backoff: float = 0.5):
self.timeout = timeout
# 单实例 Session,会自动保存 Cookie;如需按用户隔离可按 session_key 做多 Session 管理
self.session = requests.Session()
self.session.headers.update({
"Accept": "application/json, text/plain, */*",
"Content-Type": "application/json",
"User-Agent": "ComfyUI-Copilot/1.0 (requests)",
"x-modelscope-accept-language": "zh_CN",
})
retry_cfg = Retry(
total=retries,
backoff_factor=backoff,
status_forcelist=[429, 500, 502, 503, 504],
allowed_methods=["GET", "POST", "PUT"],
raise_on_status=False,
)
adapter = HTTPAdapter(max_retries=retry_cfg)
self.session.mount("https://", adapter)
self.session.mount("http://", adapter)
def formatData(self, data: Any) -> Dict[str, Any]:
inner = data.get('Model', {}) if isinstance(data, dict) else {}
path = data.get('Path') or inner.get('Path')
name = data.get('Name') or inner.get('Name')
revision = data.get('Revision') or inner.get('Revision')
# size = self.get_model_size(path, name, revision)
return {
"Libraries": data.get("Libraries") or inner.get("Libraries"),
"ChineseName": data.get("ChineseName") or inner.get("ChineseName"),
"Id": data.get("Id") or inner.get("Id") or data.get("ModelId") or inner.get("ModelId"),
"Name": data.get("Name") or inner.get("Name"),
"Path": data.get("Path") or inner.get("Path"),
"LastUpdatedTime": data.get("LastUpdatedTime") or inner.get("LastUpdatedTime") or data.get("LastUpdatedAt") or inner.get("LastUpdatedAt"),
"Downloads": data.get("Downloads") or inner.get("Downloads") or data.get("DownloadCount") or inner.get("DownloadCount"),
# "Size": size or 0
}
def get_single_model(self, path: str, name: str) -> Optional[Dict[str, Any]]:
"""
调用单模型详情接口。
返回原始 JSON(尽量保持结构,便于 formatData 处理),失败返回 None。
"""
if path is None or name is None:
return None
try:
url = f"{self.SEARCH_SINGLE_ENDPOINT}/{path}/{name}"
resp = self.session.get(url, timeout=self.timeout)
resp.raise_for_status()
body = resp.json()
# 兼容不同返回包裹层级
if isinstance(body, dict):
data = body.get("Data") or body.get("data") or body
return data
return body
except Exception as e:
log.error(f"ModelScope single fetch failed for path={path}: name={name}: {e}")
return None
def get_model_size(self, path: str, name: str, revision: str, root: str = '') -> int:
"""
调用单模型详情接口。
返回原始 JSON(尽量保持结构,便于 formatData 处理),失败返回 None。
"""
if path is None or name is None or revision is None:
return 0
try:
url = f"{self.SEARCH_SINGLE_ENDPOINT}/{path}/{name}/repo/files?Revision={revision}&Root={root}"
resp = self.session.get(url, timeout=self.timeout)
resp.raise_for_status()
body = resp.json()
# 兼容不同返回包裹层级
if isinstance(body, dict):
data = body["Data"]["Files"]
size = 0
for item in data:
size += item.get("Size") or 0
return size
return 0
except Exception as e:
log.error(f"ModelScope model size fetch failed for path={path}: name={name}: rversion={rversion}: {e}")
return 0
def suggest(
self,
name: str,
page: int = 1,
page_size: int = 30,
sort_by: str = "Default",
target: str = "",
single_criterion: Optional[List[Dict[str, Any]]] = None,
) -> Dict[str, Any]:
"""
调用 suggestv2 模糊搜索接口;返回 body 与当前 Cookie。
Returns:
Dict[str, Any]: 返回的模型列表,格式为:
{
"data": [
{
"ChineseName": "中文名称",
"Id": 294066,
"Name": "SD3-Controlnet-Pose",
"Path": "InstantX",
"Libraries": ["pytorch","lora","safetensors"],
"LastUpdatedTime": "1733042611",
"Downloads": 100,
"Size": 100000
}
]
}
"""
payload = {
"PageSize": page_size,
"PageNumber": page,
"SortBy": sort_by,
"Target": target,
"SingleCriterion": single_criterion or [],
"Name": name,
}
resp = self.session.post(
self.SUGGEST_ENDPOINT,
json=payload,
timeout=self.timeout,
)
resp.raise_for_status()
body = resp.json()
if body['Data'] is None or body['Data']['Model'] is None \
or body['Data']['Model']['Suggests'] is None or (len(body['Data']['Model']['Suggests']) == 0):
log.error(f"ModelScope suggest failed: {body}, request: {payload}")
return {"data": None}
models = body['Data']['Model']['Suggests']
picked: List[Dict[str, Any]] = []
for item in models:
base = item or {}
inner = base.get('Model', {}) if isinstance(base, dict) else {}
path = base.get('Path') or inner.get('Path')
name = base.get('Name') or inner.get('Name')
detail= self.get_single_model(path, name)
data = self.formatData(detail or base)
picked.append(data)
total = body['Data']['Model'].get('TotalCount') or body['Data']['Model'].get('Total') or 0
return {"data": picked, "total": total}
def search(
self,
name: str,
page: int = 1,
page_size: int = 30,
sort_by: str = "Default",
target: str = "",
single_criterion: Optional[List[Dict[str, Any]]] = None,
criterion: Optional[List[Dict[str, Any]]] = None,
) -> Dict[str, Any]:
"""
调用 models 模糊搜索接口;返回 body 与当前 Cookie。
Returns:
Dict[str, Any]: 返回的模型列表,格式为:
{
"data": [
{
"ChineseName": "中文名称",
"Id": 294066,
"Name": "SD3-Controlnet-Pose",
"Path": "InstantX",
"Libraries": ["pytorch","lora","safetensors"],
"LastUpdatedTime": "1733042611",
"Downloads": 100,
"Size": 100000
}
]
}
"""
payload = {
"PageSize": page_size,
"PageNumber": page,
"SortBy": sort_by,
"Target": target,
"SingleCriterion": single_criterion or [],
"Name": name,
"Criterion" : criterion
}
resp = self.session.put(
self.SEARCH_ENDPOINT,
json=payload,
timeout=self.timeout,
)
resp.raise_for_status()
body = resp.json()
if body['Data'] is None or body['Data']['Model'] is None \
or body['Data']['Model']['Models'] is None or (len(body['Data']['Model']['Models']) == 0):
log.error(f"ModelScope search failed: {body}, request: {payload}")
return {"data": None}
models = body['Data']['Model']['Models'] or []
picked: List[Dict[str, Any]] = []
for item in models:
data = self.formatData(item or {})
picked.append(data)
total = body['Data']['Model'].get('TotalCount') or body['Data']['Model'].get('Total') or 0
return {"data": picked, "total": total}
def download_with_sdk(
self,
model_id: str,
model_type: str,
dest_dir: Optional[str] = None,
) -> str:
"""
推荐通过 ModelScope 官方 SDK 下载(更稳妥,支持断点与多文件)。
pip install modelscope
"""
try:
from modelscope.hub.snapshot_download import snapshot_download
except ImportError as e:
raise RuntimeError("缺少依赖 modelscope,请先安装:pip install modelscope") from e
# Determine destination directory in ComfyUI models folder hierarchy
try:
if dest_dir:
cache_dir = os.path.abspath(os.path.expanduser(dest_dir))
else:
# Prefer ComfyUI's configured folder for this model_type
try:
model_type_paths = folder_paths.get_folder_paths(model_type)
cache_dir = model_type_paths[0] if model_type_paths else os.path.join(folder_paths.models_dir, model_type)
except Exception:
# Fallback to models_dir/model_type if the key is unknown
cache_dir = os.path.join(folder_paths.models_dir, model_type)
os.makedirs(cache_dir, exist_ok=True)
except Exception as e:
raise RuntimeError(f"Failed to prepare destination directory for download: {e}") from e
local_dir = snapshot_download(model_id, cache_dir=cache_dir)
return local_dir
def test_modelscope_gateway(self):
"""
测试 ModelScope Gateway 的基本功能
"""
try:
# 测试初始化
print("Testing ModelScope Gateway initialization...")
gateway = ModelScopeGateway()
# 测试模糊搜索
print("Testing suggest method...")
result = gateway.suggest(
name="stable-diffusion",
page_size=5,
page=1
)
if result.get("data"):
print(f"Suggest test passed: found {len(result['data'])} models")
for model in result["data"][:2]: # 显示前2个结果
print(f" - {model.get('Model', {}).get('ModelId', 'Unknown')}")
else:
print("Suggest test failed: no data returned")
# 测试特定模型搜索
print("Testing specific model search...")
specific_result = gateway.suggest(
name="qwen",
page_size=3,
page=1,
sort_by="DownloadCount",
target="model"
)
if specific_result.get("data"):
print(f"Specific search test passed: found {len(specific_result['data'])} models")
else:
print("Specific search test failed")
print("All tests completed successfully!")
return True
except Exception as e:
print(f"Test failed with error: {e}")
import traceback
traceback.print_exc()
return False
# 测试脚本入口
if __name__ == "__main__":
# 创建测试实例
gateway = ModelScopeGateway()
# 运行测试
print("=" * 50)
print("ModelScope Gateway Test Script")
print("=" * 50)
success = gateway.test_modelscope_gateway()
print("=" * 50)
if success:
print("✅ All tests passed!")
else:
print("❌ Some tests failed!")
print("=" * 50)