55 lines
2.2 KiB
Python
55 lines
2.2 KiB
Python
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import requests
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from app import app
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from extensions import db
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from models import SystemDict
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from config import Config
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def fetch_and_init():
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with app.app_context():
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# 定义需要抓取的字典代码及对应的本地类型
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target_mappings = {
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"nano_model": "ai_model",
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"aspect_ratio": "aspect_ratio",
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"ai_prompt": "prompt_tpl",
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"ai_image_size": "ai_image_size"
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}
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print("🚀 开始从远程接口获取字典数据...")
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for remote_code, local_type in target_mappings.items():
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try:
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url = f"{Config.DICT_URL}?platform={Config.PLATFORM}&code={remote_code}"
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response = requests.get(url, verify=False, timeout=15)
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if response.status_code == 200:
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data = response.json().get("data", [])
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print(f"📦 抓取到 {remote_code} ({len(data)} 条数据)")
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for item in data:
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label = item.get("label")
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value = item.get("value")
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# 检查本地是否已存在
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exists = SystemDict.query.filter_by(dict_type=local_type, value=value).first()
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if not exists:
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new_dict = SystemDict(
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dict_type=local_type,
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label=label,
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value=value,
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cost=1 if local_type == 'ai_model' else 0, # 模型默认 1 积分，其余 0
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is_active=True
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)
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db.session.add(new_dict)
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else:
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print(f"❌ 抓取 {remote_code} 失败: HTTP {response.status_code}")
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except Exception as e:
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print(f"⚠️ 抓取 {remote_code} 发生异常: {e}")
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db.session.commit()
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print("\n✅ 字典数据本地化初始化成功！")
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print("💡 您现在可以直接在数据库 system_dicts 表中修改模型的 cost (积分消耗) 字段。")
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if __name__ == "__main__":
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fetch_and_init()
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