You've already forked opc-backend
87 lines
3.2 KiB
Python
87 lines
3.2 KiB
Python
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import os
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import django
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os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings')
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django.setup()
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from system.models import Announcement, AiModel
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from reservations.models import ReservationResource, ResourceType
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from users.models import User
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def seed_data():
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# Delete old
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Announcement.objects.all().delete()
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AiModel.objects.all().delete()
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ReservationResource.objects.all().delete()
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admin_user = User.objects.filter(is_superuser=True).first()
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if not admin_user:
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print("No admin user found. Cannot seed announcements.")
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return
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# Seed Announcements
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Announcement.objects.create(
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title='CorpScale 2.0 品牌升级：助力一人公司跨越式增长',
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content='全新的 OPC 平台正式上线！为自由职业者提供更强大的背书与任务撮合能力。',
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publisher=admin_user,
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is_published=True
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)
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Announcement.objects.create(
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title='关于新增 4D 点云标注、多模态意图识别等高端任务类型的通知',
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content='针对自动驾驶和前沿 AI 研发，平台已引入高价值数据标注任务，欢迎拥有相关资质的专家承接。',
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publisher=admin_user,
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is_published=True
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)
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Announcement.objects.create(
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title='开发者生态支持计划：首批 OPC 认证专家将获得算力补贴',
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content='首批入驻的专家除了获得免排队特权外，还将每月获得 500,000 Tokens 的模型调用配额。',
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publisher=admin_user,
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is_published=True
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)
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# Seed AI Models
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AiModel.objects.create(
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name='CS-Llama-Instruct-7B',
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provider='CorpScale',
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description='基于Llama架构深度优化的行业指令微调模型，适用于客服机器人与知识库问答系统，支持超长上下文。',
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price_per_token=0.0001
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)
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AiModel.objects.create(
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name='VisionX-Segmentation-V3',
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provider='CorpScale',
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description='高精度图像语义分割模型，支持256个语义类别，专为自动驾驶避障和医疗辅助诊断分析设计。',
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price_per_token=0.0005
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)
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AiModel.objects.create(
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name='AutoTrans-Speech-Turbo',
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provider='CorpScale',
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description='低延迟实时语音转文字模型，支持极速多国语言翻译及50多种中国方言精准识别。',
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price_per_token=0.0002
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)
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# Seed Reservation Resources
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ReservationResource.objects.create(
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name='A栋101 大型全景会议室',
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type=ResourceType.MEETING_ROOM,
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description='支持50人规模的顶级会议，配备8K投影与哈曼卡顿音响系统。',
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capacity=50,
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location='创新园区 A栋 1层',
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price_per_unit=150.00,
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price_unit='小时'
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)
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ReservationResource.objects.create(
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name='园区通用智能门禁白名单',
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type=ResourceType.ACCESS_CONTROL,
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description='开通后刷脸即可进入园区各公共办公区及休息区。',
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capacity=1,
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location='全园区通用',
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price_per_unit=20.00,
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price_unit='次'
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)
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print("Phase 5 Seed data generated successfully!")
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if __name__ == '__main__':
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seed_data()
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