8 Commits
v1.1.0 ... main

207
main.py
View File

@@ -121,22 +121,28 @@ def init_db():
# ModelScope 搜索
# ============================================================
def search_models(keyword: str, limit: int = 100) -> list:
def search_models(keyword: str, limit: int = 50) -> list:
"""从 ModelScope 搜索模型"""
url = f"{MODELSCOPE_API}/models"
url = "https://modelscope.cn/openapi/v1/models"
params = {
'Query': keyword,
'PageSize': limit,
'SortBy': 'GITHUB_SCORE',
'search': keyword,
'page_size': min(limit, 50), # API 上限 50
'page_number': 1,
'sort': 'downloads',
}
try:
resp = requests.get(url, params=params, timeout=15)
resp = requests.get(url, params=params, timeout=20,
headers={'User-Agent': 'Mozilla/5.0'})
data = resp.json()
models = data.get('Data', {}).get('Models', [])
return models
if data.get('success'):
models = data.get('data', {}).get('models', [])
log(f" 搜索 [{keyword}]: status={resp.status_code} models={len(models)}")
return models
else:
log(f" 搜索 [{keyword}]: success=false, data={str(data)[:200]}")
except Exception as e:
log(f" 搜索失败 [{keyword}]: {e}")
return []
return []
def check_architecture(model_id: str) -> tuple:
@@ -189,7 +195,8 @@ def check_platform_verify(model_id: str) -> dict:
resp = requests.get(url, headers=headers, params={'modelId': model_id}, timeout=10)
data = resp.json()
if data.get('code') == 0:
return data.get('data', {}).get('verifyResult', {})
result = data.get('data', {}).get('verifyResult', {})
return result if isinstance(result, dict) else {}
except Exception:
pass
return {}
@@ -367,16 +374,16 @@ def run_pipeline(gpus: list = None, submit_limit: int = 30):
for kw in SEARCH_KEYWORDS:
models = search_models(kw, limit=100)
for m in models:
mid = m.get('ModelId', m.get('Name', ''))
mid = m.get('id', '')
if mid and mid not in seen:
seen.add(mid)
downloads = m.get('Downloads', 0)
downloads = m.get('downloads', 0)
if downloads >= 50:
all_models.append({
'model_id': mid,
'url': f"https://modelscope.cn/{mid}",
'downloads': downloads,
'params': m.get('Parameters', ''),
'params': m.get('params', ''),
'category': 'quantized' if 'GGUF' in mid.upper() else 'standard',
})
time.sleep(0.3)
@@ -481,6 +488,8 @@ class AgentHandler(BaseHTTPRequestHandler):
'last_run': state['last_run'],
'last_result': state['last_result'],
})
elif path == '/test':
self._json(self._run_connectivity_test())
elif path == '/status':
self._json({
'running': state['running'],
@@ -532,6 +541,85 @@ class AgentHandler(BaseHTTPRequestHandler):
else:
self._json({'error': 'not found'}, 404)
def _run_connectivity_test(self) -> dict:
"""测试各 API 连通性"""
results = {}
# 1. ModelScope 搜索 API
try:
resp = requests.get(
'https://modelscope.cn/openapi/v1/models',
params={'search': 'qwen', 'page_size': 2, 'sort': 'downloads'},
timeout=10,
headers={'User-Agent': 'Mozilla/5.0'}
)
results['modelscope_search'] = {
'status': resp.status_code,
'ok': resp.status_code == 200,
'body_preview': resp.text[:200] if resp.status_code == 200 else resp.text[:100],
}
except Exception as e:
results['modelscope_search'] = {'ok': False, 'error': str(e)}
# 2. ModelScope config.json API
try:
resp = requests.get(
'https://modelscope.cn/api/v1/models/Qwen/Qwen3-8B/repo?Revision=master&FilePath=config.json',
timeout=10,
)
results['modelscope_config'] = {
'status': resp.status_code,
'ok': resp.status_code == 200,
'body_preview': resp.text[:200] if resp.status_code == 200 else resp.text[:100],
}
except Exception as e:
results['modelscope_config'] = {'ok': False, 'error': str(e)}
# 3. ModelHub 查询 API
try:
token = list(ACCOUNTS.values())[0]
resp = requests.get(
'https://modelhub.org.cn/api/adapt/task/page',
headers={'Xc-Token': token, 'Accept': 'application/json'},
params={'current': 1, 'pageSize': 1, 'onlyMine': 'true'},
timeout=10,
)
data = resp.json()
results['modelhub_query'] = {
'ok': data.get('code') == 0,
'code': data.get('code'),
'total': data.get('data', {}).get('total'),
}
except Exception as e:
results['modelhub_query'] = {'ok': False, 'error': str(e)}
# 4. ModelHub 提交 API (dry test)
try:
token = list(ACCOUNTS.values())[0]
resp = requests.post(
'https://modelhub.org.cn/api/adapt/task/add',
headers={'Xc-Token': token, 'Accept': 'application/json', 'Content-Type': 'application/json'},
json={
'modelAddress': 'https://www.modelscope.cn/models/Qwen/Qwen3-8B',
'taskType': 'text-generation',
'targetGpu': 'Kunlunxin_p-800',
'framework': 'vllm',
'strategyId': STRATEGY_ID,
'configParams': 'framework: vllm\n',
},
timeout=10,
)
data = resp.json()
results['modelhub_submit'] = {
'ok': data.get('code') == 0,
'code': data.get('code'),
'message': data.get('message', '')[:100],
}
except Exception as e:
results['modelhub_submit'] = {'ok': False, 'error': str(e)}
return results
def _json(self, body: dict, status: int = 200):
payload = json.dumps(body, ensure_ascii=False).encode()
self.send_response(status)
@@ -570,6 +658,99 @@ def main():
log(f"STRATEGY_ID: {STRATEGY_ID}")
log(f"GPU: {', '.join(GPU_CONFIGS.keys())}")
# 启动后自动运行连通性测试
def _startup_test():
time.sleep(2)
log("=" * 50)
log("连通性测试开始")
log("=" * 50)
# 1. ModelScope 搜索
try:
resp = requests.get(
'https://modelscope.cn/openapi/v1/models',
params={'search': 'qwen', 'page_size': 2, 'sort': 'downloads'},
timeout=10, headers={'User-Agent': 'Mozilla/5.0'}
)
if resp.status_code == 200:
data = resp.json()
models = data.get('data', {}).get('models', [])
log(f"[ModelScope搜索] ✅ status={resp.status_code} models={len(models)}")
for m in models[:2]:
log(f" {m.get('id')} downloads={m.get('downloads')}")
else:
log(f"[ModelScope搜索] ❌ status={resp.status_code} body={resp.text[:100]}")
except Exception as e:
log(f"[ModelScope搜索] ❌ error={e}")
# 2. ModelScope config.json
try:
resp = requests.get(
'https://modelscope.cn/api/v1/models/Qwen/Qwen3-8B/repo?Revision=master&FilePath=config.json',
timeout=10
)
if resp.status_code == 200:
cfg = resp.json()
log(f"[ModelScope配置] ✅ arch={cfg.get('architectures')} type={cfg.get('model_type')}")
else:
log(f"[ModelScope配置] ❌ status={resp.status_code}")
except Exception as e:
log(f"[ModelScope配置] ❌ error={e}")
# 3. ModelHub 查询
try:
token = list(ACCOUNTS.values())[0]
resp = requests.get(
'https://modelhub.org.cn/api/adapt/task/page',
headers={'Xc-Token': token, 'Accept': 'application/json'},
params={'current': 1, 'pageSize': 1, 'onlyMine': 'true'},
timeout=10
)
data = resp.json()
if data.get('code') == 0:
log(f"[ModelHub查询] ✅ total={data['data'].get('total')}")
else:
log(f"[ModelHub查询] ❌ code={data.get('code')} msg={data.get('message','')[:80]}")
except Exception as e:
log(f"[ModelHub查询] ❌ error={e}")
# 4. ModelHub 提交
try:
token = list(ACCOUNTS.values())[0]
resp = requests.post(
'https://modelhub.org.cn/api/adapt/task/add',
headers={'Xc-Token': token, 'Accept': 'application/json', 'Content-Type': 'application/json'},
json={
'modelAddress': 'https://www.modelscope.cn/models/Qwen/Qwen3-8B',
'taskType': 'text-generation', 'targetGpu': 'Kunlunxin_p-800',
'framework': 'vllm', 'strategyId': STRATEGY_ID,
'configParams': 'framework: vllm\n',
}, timeout=10
)
data = resp.json()
log(f"[ModelHub提交] code={data.get('code')} msg={data.get('message','')[:80]}")
except Exception as e:
log(f"[ModelHub提交] ❌ error={e}")
log("=" * 50)
log("连通性测试完成")
log("=" * 50)
# 开始正式提交流程
log("\n自动触发提交流程...")
try:
state['running'] = True
state['last_run'] = datetime.now().isoformat()
count = run_pipeline(submit_limit=30)
state['last_result'] = {'submitted': count, 'success': True}
except Exception as e:
log(f"流程异常: {traceback.format_exc()}")
state['last_result'] = {'error': str(e), 'success': False}
finally:
state['running'] = False
threading.Thread(target=_startup_test, daemon=True).start()
while not shutdown_requested:
server.handle_request()