release: opensource snapshot 2026-02-27 19:25:00

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saturn
2026-02-27 19:25:00 +08:00
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#!/usr/bin/env python3
"""
GRSAI Gemini 兼容层模型测试脚本 (并行版本)
测试所有 nano-banana 模型在 Gemini 兼容层下的表现
"""
import requests
import json
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
API_KEY = "sk-c8846cb8d4834db087f0126466bf1358"
BASE_URL = "https://grsai.dakka.com.cn"
MODELS = [
"nano-banana-fast",
"nano-banana",
"nano-banana-pro",
"nano-banana-pro-vt",
"nano-banana-pro-cl",
"nano-banana-pro-vip",
"nano-banana-pro-4k-vip",
]
def test_model(model_name):
"""测试单个模型"""
url = f"{BASE_URL}/v1beta/models/{model_name}:generateContent"
headers = {
"Content-Type": "application/json",
"x-goog-api-key": API_KEY
}
payload = {
"contents": [{"parts": [{"text": "一只可爱的小猫"}]}],
"generationConfig": {
"responseModalities": ["IMAGE", "TEXT"]
}
}
start_time = time.time()
try:
response = requests.post(url, headers=headers, json=payload, timeout=180)
elapsed = time.time() - start_time
if response.status_code != 200:
return model_name, False, f"HTTP {response.status_code}: {response.text[:50]}", elapsed
data = response.json()
if "error" in data:
return model_name, False, f"错误: {data['error'].get('message', str(data['error']))[:50]}", elapsed
if "candidates" in data and data["candidates"]:
parts = data["candidates"][0].get("content", {}).get("parts", [])
for part in parts:
if "inlineData" in part:
base64_data = part["inlineData"].get("data", "")
if len(base64_data) > 100:
kb_size = len(base64_data) * 3 // 4 // 1024
return model_name, True, f"base64: {len(base64_data)} 字符 (~{kb_size} KB)", elapsed
else:
return model_name, False, f"数据异常: \"{base64_data}\" (仅 {len(base64_data)} 字符)", elapsed
elif "text" in part:
return model_name, False, f"返回文本: {part['text'][:30]}...", elapsed
return model_name, False, "未知响应格式", elapsed
except requests.exceptions.Timeout:
return model_name, False, "请求超时 (>180s)", time.time() - start_time
except Exception as e:
return model_name, False, f"异常: {str(e)[:50]}", time.time() - start_time
def main():
print("=" * 60)
print("GRSAI Gemini 兼容层模型测试 (并行)")
print("=" * 60)
print(f"测试 {len(MODELS)} 个模型,所有模型同时请求...\n")
results = {}
start_total = time.time()
# 并行执行所有测试
with ThreadPoolExecutor(max_workers=len(MODELS)) as executor:
futures = {executor.submit(test_model, model): model for model in MODELS}
for future in as_completed(futures):
model_name, success, message, elapsed = future.result()
status = "" if success else ""
print(f" {status} {model_name:<25} | {elapsed:>5.1f}s | {message}")
results[model_name] = (success, message, elapsed)
total_time = time.time() - start_total
print("\n" + "=" * 60)
print("测试结果汇总")
print("=" * 60)
success_count = sum(1 for s, _, _ in results.values() if s)
# 按原始顺序显示
for model in MODELS:
if model in results:
success, message, elapsed = results[model]
status = "" if success else ""
print(f" {status} {model}")
print("-" * 60)
print(f" 成功: {success_count}/{len(MODELS)} | 总耗时: {total_time:.1f}s")
print("=" * 60)
if __name__ == "__main__":
main()