yuzhiran
7e953afbd2
- 新增创作工作台 studio.html：合并选题/内容工厂/文章管理为单一 tab 入口（iframe embed 模式） - 新增 AI味检测模块（ai_slop API + 页面，合规软硬问题分级） - 新增白标品牌配置（branding API + 页面 + deploy 私有化交付包） - 发布闭环：publishing 放宽至 editor + records/mark-published 接口 - 移动端响应式补全（admin/calendar/ai-slop 表格卡片兜底） - 修复菜单幂等播种缺陷（按 path 对齐，避免功能页孤立） - 新增短视频脚本 shortvideo.py 与 2026 市场调研简报
375 lines
21 KiB
Python
375 lines
21 KiB
Python
import json
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import os
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from datetime import datetime
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from pathlib import Path
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from .database import SessionLocal, init_db
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from .models import (
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Topic, TopicField, TopicConfigField, TopicStatusConfig,
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User, Case, LLMConfig, SystemConfig, PlatformConfig,
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CollectorCategory, CollectorSource, Role, Menu, SearchProvider
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)
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import bcrypt
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PROJECT_ROOT = Path(__file__).resolve().parents[1]
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if os.getenv('PROJECT_ROOT'):
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PROJECT_ROOT = Path(os.getenv('PROJECT_ROOT'))
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TOPICS_FILE = PROJECT_ROOT / "automation" / "data" / "sustainability_topics.json"
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CASES_FILE = PROJECT_ROOT / "automation" / "data" / "initial_cases.json"
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DEFAULT_ADMIN_USERNAME = os.getenv('DEFAULT_ADMIN_USERNAME', 'admin')
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DEFAULT_ADMIN_PASSWORD = os.getenv('DEFAULT_ADMIN_PASSWORD', 'admin123')
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def import_initial_data():
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db = SessionLocal()
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try:
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if db.query(User).filter(User.username == DEFAULT_ADMIN_USERNAME).first() is None:
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hashed = bcrypt.hashpw(DEFAULT_ADMIN_PASSWORD.encode('utf-8'), bcrypt.gensalt())
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admin = User(
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username=DEFAULT_ADMIN_USERNAME,
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password_hash=hashed.decode('utf-8'),
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role="admin",
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org_id="default"
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)
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db.add(admin)
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db.commit()
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print(f"✅ 创建默认管理员: {DEFAULT_ADMIN_USERNAME}")
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# 补充或更新 LLM 供应商配置（nvidia 为主，sensenova 为备，含多模型）
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expected = {
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"opencode-go": dict(provider="opencode-go", model="deepseek-v4-flash",
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base_url="https://opencode.ai/zen/go/v1", temperature=0.7, max_tokens=131072, is_active=True,
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user_prompt_template="将以下内容扩展为完整文章：\n{topic_title}\n{core_concept}"),
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"nvidia": dict(provider="nvidia", model="qwen/qwen3.5-397b-a17b",
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base_url="https://integrate.api.nvidia.com/v1", temperature=0.5, max_tokens=131072, is_active=False,
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user_prompt_template="将以下内容扩展为完整章节：\n{section_content}"),
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"sensenova-6.7-flash-lite": dict(provider="sensenova", model="sensenova-6.7-flash-lite",
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base_url="https://token.sensenova.cn/v1", temperature=0.3, max_tokens=16384, is_active=True,
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rate_limit=1500, rate_limit_window_minutes=300,
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user_prompt_template="将以下内容扩展为完整章节：\n{section_content}"),
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"sensenova-u1-fast": dict(provider="sensenova", model="sensenova-u1-fast",
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base_url="https://token.sensenova.cn/v1", temperature=0.3, max_tokens=16384, is_active=True,
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rate_limit=1500, rate_limit_window_minutes=300,
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user_prompt_template="根据以下内容生成信息图：\n{section_content}"),
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"sensenova-deepseek": dict(provider="sensenova", model="deepseek-v4-flash",
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base_url="https://token.sensenova.cn/v1", temperature=0.3, max_tokens=16384, is_active=True,
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rate_limit=500, rate_limit_window_minutes=300,
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user_prompt_template="将以下内容扩展为完整章节：\n{section_content}"),
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}
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existing = {c.name: c for c in db.query(LLMConfig).all()}
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for name, cfg in expected.items():
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if name in existing:
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c = existing[name]
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# 仅补缺失字段，不覆写用户已修改的值
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for k, v in cfg.items():
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if getattr(c, k, None) is None:
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setattr(c, k, v)
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else:
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db.add(LLMConfig(name=name, **cfg))
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db.commit()
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print(f"✅ LLM 配置已同步: {', '.join(expected.keys())}")
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default_system_configs = [
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{"key": "collector_enabled", "value": "false", "description": "是否启用采集器"},
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{"key": "scheduler_interval", "value": "daily", "description": "调度间隔：daily/hourly/weekly"},
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]
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for cfg in default_system_configs:
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if db.query(SystemConfig).filter(SystemConfig.key == cfg["key"]).first() is None:
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db.add(SystemConfig(**cfg))
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# 白标默认值（私有化部署/卖给他人时可改）
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default_branding = [
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{"key": "brand_name", "value": "宇之然内容创作平台", "description": "白标：平台名称"},
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{"key": "brand_logo", "value": "", "description": "白标：Logo URL（留空用文字）"},
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{"key": "brand_primary_color", "value": "#2563eb", "description": "白标：主色（导航/按钮）"},
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{"key": "brand_support_email", "value": "", "description": "白标：支持邮箱"},
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]
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for b in default_branding:
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if db.query(SystemConfig).filter(SystemConfig.key == b["key"]).first() is None:
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db.add(SystemConfig(**b))
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if db.query(SystemConfig).filter(SystemConfig.key == "review_llm_id").first() is None:
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first_llm = db.query(LLMConfig).filter(LLMConfig.is_active == True).first()
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if first_llm:
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db.add(SystemConfig(key="review_llm_id", value=str(first_llm.id), description="审查使用的 LLM 配置 ID（留空则用环境变量默认值）"))
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db.commit()
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print("✅ 插入默认系统配置")
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# 初始化默认搜索 API 提供商
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if db.query(SearchProvider).count() == 0:
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providers = [
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SearchProvider(name="百度千帆", provider_type="baidu", api_key="", api_url="https://qianfan.baidubce.com/v2/ai_search/web_search", console_url="https://console.bce.baidu.com/qianfan/ais/console/onlineService", priority=1, enabled=True, daily_limit=200),
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SearchProvider(name="360搜索", provider_type="360", api_key="", api_url="", console_url="https://www.so.com", priority=0, enabled=True, daily_limit=99999),
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SearchProvider(name="搜狗搜索", provider_type="sogou", api_key="", api_url="", console_url="https://sogou.com", priority=1, enabled=True, daily_limit=99999),
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SearchProvider(name="微信搜一搜", provider_type="wechat", api_key="", api_url="", console_url="https://wx.sogou.com/weixin", priority=2, enabled=True, daily_limit=99999),
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]
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for p in providers:
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db.add(p)
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db.commit()
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print("✅ 插入默认搜索 API 提供商")
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if db.query(PlatformConfig).count() == 0:
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platforms = [
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{
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"platform": "zhihu",
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"name": "知乎",
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"icon": "🔍",
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"default_format": "深度分析 3000-8000字，数据驱动",
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"compliance_rules": {
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"max_title_len": 100,
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"allowed_tags": ["科技", "AI", "效率", "职场", "教育", "远程工作", "未来工作", "工具"],
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"forbidden_patterns": ["加微信", "私聊", "付费咨询", "点击领取"]
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},
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"is_active": True,
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"requires_image": False,
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"image_count_min": 0,
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"image_count_max": 0,
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"image_width": 0,
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"image_height": 0,
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"min_words": 3000,
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"max_words": 8000
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},
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{
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"platform": "wechat",
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"name": "微信公众号",
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"icon": "💚",
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"default_format": "个人叙事 2000-4000字，对话感",
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"compliance_rules": {
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"max_title_len": 32,
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"allowed_tags": ["科技", "AI", "效率", "职场", "教育", "远程工作", "未来工作", "工具"],
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"forbidden_patterns": ["诱导分享", "朋友圈", "转发群"]
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},
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"is_active": True,
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"requires_image": True,
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"image_count_min": 1,
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"image_count_max": 3,
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"image_width": 1080,
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"image_height": 1080,
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"min_words": 2000,
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"max_words": 4000
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},
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{
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"platform": "xiaohongshu",
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"name": "小红书",
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"icon": "📕",
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"default_format": "精炼干货 400-1000字，实用优先",
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"compliance_rules": {
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"max_title_len": 50,
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"allowed_tags": ["AI", "效率", "科技", "工具", "职场", "生活", "学习方法"],
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"forbidden_patterns": ["私信", "加群", "导流"]
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},
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"is_active": True,
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"requires_image": True,
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"image_count_min": 3,
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"image_count_max": 6,
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"image_width": 1080,
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"image_height": 1440,
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"min_words": 400,
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"max_words": 1000
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}
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]
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for p in platforms:
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db.add(PlatformConfig(**p))
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db.commit()
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print("✅ 插入平台配置")
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else:
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# 更新已有平台配置的字数要求（迁移：2026-06 内容质量升级）
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platform_updates = {
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"zhihu": {"min_words": 3000, "max_words": 8000, "default_format": "深度分析 3000-8000字，数据驱动+观点交锋，用一手数据和独特视角切入"},
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"wechat": {"min_words": 2000, "max_words": 4000, "default_format": "科技人文叙事 2000-4000字，个人反思+情感共鸣，记录人与技术之间的故事"},
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"xiaohongshu": {"min_words": 400, "max_words": 1000, "default_format": "精炼干货 400-1000字，亲测数据+实操结果，每个结论配真实对比"},
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}
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for p in db.query(PlatformConfig).all():
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if p.platform in platform_updates:
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up = platform_updates[p.platform]
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p.min_words = up["min_words"]
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p.max_words = up["max_words"]
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p.default_format = up["default_format"]
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db.commit()
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print("✅ 平台配置已更新（字数/格式）")
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if db.query(TopicField).count() == 0:
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fields = [
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{"name": "AI与效率", "icon": "🤖", "color": "#764ba2", "description": "AI工具实测对比、工作流效率方法、前沿资讯解读——关注技术如何改变人的工作方式", "sort_order": 1},
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{"name": "科技人文", "icon": "🔬", "color": "#f56c6c", "description": "AI伦理困境、数字生活反思、人机关系探索——科技的温度与边界", "sort_order": 2},
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{"name": "未来工作方式", "icon": "💼", "color": "#667eea", "description": "远程协作实践、AI时代职业转型、一人企业模式——未来不是等来的", "sort_order": 3},
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]
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for f in fields:
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db.add(TopicField(**f))
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db.commit()
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print("✅ 插入默认领域配置（聚焦AI×人文×未来工作）")
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if db.query(CollectorCategory).count() == 0:
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default_cats = [
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{"name": "AI前沿资讯", "search_query": "AI 人工智能 大模型 2026 前沿 突破 论文解读", "description": "AI行业动态、大模型发布、技术突破 | 2026年AI全面嵌入产业", "sort_order": 1, "is_active": True},
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{"name": "AI工具实测", "search_query": "AI工具 效率提升 工作流 prompt教程 Cursor Copilot 2026", "description": "AI工具评测、效率工作流、实操指南 | 2026年AI工具爆发", "sort_order": 2, "is_active": True},
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{"name": "AI与职场", "search_query": "AI 裁员 职业转型 AI技能 远程工作 一人企业 2026", "description": "AI对就业影响、职业转型、技能升级 | 2026年AI重塑就业结构", "sort_order": 3, "is_active": True},
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{"name": "AI生活化", "search_query": "AI陪伴 AI心理咨询 生活助手 AI写作 智能体 2026", "description": "AI心理咨询/生活搭子/AI人格化 | 商业笔记互动增长263%", "sort_order": 4, "is_active": True},
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{"name": "科技人文", "search_query": "AI伦理 数字生活 科技反思 人机关系 数据隐私 2026", "description": "AI伦理/数字生活反思/科技温度 | AI从工具到共生", "sort_order": 5, "is_active": True},
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]
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for cd in default_cats:
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existing = db.query(CollectorCategory).filter(CollectorCategory.name == cd["name"]).first()
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if not existing:
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db.add(CollectorCategory(**cd))
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db.commit()
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print("✅ 插入默认采集类别（聚焦AI×科技人文）")
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db.commit()
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# 补充缺失的采集源（对已有数据库的迁移）
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for sd in [
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{"name": "AI前沿搜索", "source_type": "web_search", "query": "AI 人工智能 大模型 前沿 2026", "credibility": "medium", "focus": "AI前沿资讯", "sort_order": 1, "is_active": True},
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{"name": "AI工具搜索", "source_type": "web_search", "query": "AI工具 效率提升 AI工作流 2026", "credibility": "medium", "focus": "AI工具实测", "sort_order": 2, "is_active": True},
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]:
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if not db.query(CollectorSource).filter(CollectorSource.name == sd["name"]).first():
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db.add(CollectorSource(**sd))
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db.commit()
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if db.query(TopicStatusConfig).count() == 0:
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statuses = [
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{"status": "pending", "label": "待处理", "color": "#E6A23C", "icon": "⏳", "sort_order": 1, "is_default": True},
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{"status": "review", "label": "待审查", "color": "#F56C6C", "icon": "🔍", "sort_order": 2},
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{"status": "draft", "label": "草稿", "color": "#909399", "icon": "📝", "sort_order": 3},
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{"status": "ready", "label": "待发布", "color": "#67C23A", "icon": "✅", "sort_order": 4},
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{"status": "published", "label": "已发布", "color": "#409EFF", "icon": "🚀", "sort_order": 5},
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]
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for s in statuses:
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db.add(TopicStatusConfig(**s))
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db.commit()
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print("✅ 插入状态配置")
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field_map = {}
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for f in db.query(TopicField).all():
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field_map[f.name] = f.id
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if db.query(Topic).count() == 0:
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if os.path.exists(TOPICS_FILE):
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topics = json.loads(open(TOPICS_FILE, encoding='utf-8').read())
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seen = {}
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for t in topics:
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seen[t['id']] = t
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unique_topics = list(seen.values())
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for t in unique_topics:
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field_id = field_map.get(t.get('field'))
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field_name = t.get('field')
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topic = Topic(
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id=t['id'],
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field_id=field_id,
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field_name=field_name,
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title=t['title'],
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format=t.get('format'),
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core_concept=t.get('core_concept'),
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audience_pain=t.get('audience_pain'),
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unique_angle=t.get('unique_angle'),
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priority=t.get('priority'),
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priority_score=t.get('priority_score', 0),
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total_score=t.get('total_score'),
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status=t.get('status', 'pending'),
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cases=t.get('cases', []),
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tags=t.get('tags', []),
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source_file=t.get('source_file'),
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ready_at=datetime.strptime(t['ready_at'], '%Y-%m-%d').date() if t.get('ready_at') else None,
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published_at=datetime.strptime(t['published_at'], '%Y-%m-%d').date() if t.get('published_at') else None,
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compliance_score=t.get('compliance_score'),
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platform_urls=t.get('platform_urls', {})
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)
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db.add(topic)
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db.commit()
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print(f"✅ 导入 {len(unique_topics)} 个选题")
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else:
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print(f"⚠️ 选题文件不存在: {TOPICS_FILE}")
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if db.query(Case).count() == 0:
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if os.path.exists(CASES_FILE):
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cases_data = json.loads(open(CASES_FILE, encoding='utf-8').read())
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for c in cases_data:
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case = Case(
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id=c['id'],
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title=c['title'],
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field=c['field'],
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summary=c['summary'],
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key_metrics=c.get('key_metrics'),
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date=c.get('date'),
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source=c['source'],
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source_url=c.get('source_url'),
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credibility_rating=c.get('credibility_rating'),
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china_applicability=c.get('china_applicability')
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)
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db.add(case)
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db.commit()
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print(f"✅ 导入 {len(cases_data)} 条案例")
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# 初始化默认角色
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if db.query(Role).count() == 0:
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db.add(Role(name="admin", description="系统管理员", is_system=True))
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db.add(Role(name="editor", description="编辑人员", is_system=True))
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db.commit()
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print("✅ 插入默认角色")
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# 归一化首页菜单路径，避免 index.html 与 /index.html 产生重复入口
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idx_plain = db.query(Menu).filter(Menu.path == "index.html").first()
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idx_slash = db.query(Menu).filter(Menu.path == "/index.html").first()
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if idx_plain and not idx_slash:
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idx_plain.path = "/index.html"
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db.commit()
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elif idx_plain and idx_slash:
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db.delete(idx_plain)
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db.commit()
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# 初始化默认菜单：幂等按 path 对齐（已有时更新排序/角色，缺失时插入）。
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# 运行时会用 DB 菜单覆盖 uni-nav.js 的 fallback，因此这里必须保证文章管理/内容工厂/白标设置等入口存在。
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default_menus = [
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{"name": "工作台", "path": "/index.html", "icon": "IconHome", "sort_order": 0, "roles": ["admin", "editor"]},
|
|
{"name": "创作工作台", "path": "studio.html", "icon": "IconEdit", "sort_order": 1, "roles": ["admin", "editor"]},
|
|
{"name": "数据", "path": "metrics.html", "icon": "IconData", "sort_order": 2, "roles": ["admin", "editor"]},
|
|
{"name": "日历", "path": "calendar.html", "icon": "IconCalendar", "sort_order": 3, "roles": ["admin", "editor"]},
|
|
{"name": "素材", "path": "assets.html", "icon": "IconFolder", "sort_order": 4, "roles": ["admin", "editor"]},
|
|
{"name": "任务", "path": "tasks.html", "icon": "IconMenu", "sort_order": 5, "roles": ["admin", "editor"]},
|
|
{"name": "外推营销", "path": "campaigns.html", "icon": "IconStar", "sort_order": 6, "roles": ["admin", "editor"]},
|
|
{"name": "AI味检测", "path": "ai-slop.html", "icon": "IconSearch", "sort_order": 7, "roles": ["admin", "editor"]},
|
|
{"name": "白标设置", "path": "branding.html", "icon": "IconSetting", "sort_order": 8, "roles": ["admin"]},
|
|
{"name": "系统", "path": "admin.html", "icon": "IconSetting", "sort_order": 9, "roles": ["admin"]},
|
|
]
|
|
for m in default_menus:
|
|
found = db.query(Menu).filter(Menu.path == m["path"]).first()
|
|
if found:
|
|
found.sort_order = m["sort_order"]
|
|
found.roles = m["roles"]
|
|
found.icon = m["icon"]
|
|
found.is_active = True
|
|
# 保留原名称，避免意外重命名
|
|
else:
|
|
db.add(Menu(**m))
|
|
# 原独立的选题/内容工厂/文章管理已合并进「创作工作台」，从主导航隐藏（页面仍可被 studio 内嵌与直接访问）
|
|
for legacy in ["topics.html", "factory.html", "articles.html"]:
|
|
legacy_menu = db.query(Menu).filter(Menu.path == legacy).first()
|
|
if legacy_menu:
|
|
legacy_menu.is_active = False
|
|
db.commit()
|
|
print("✅ 菜单已对齐（创作工作台合并选题/内容工厂/文章管理）")
|
|
|
|
# 同步 PostgreSQL 自增序列
|
|
if os.getenv('USE_POSTGRES', 'true').lower() == 'true':
|
|
try:
|
|
from sqlalchemy import text
|
|
tables = ["cases", "users", "content_calendar", "media_assets", "content_metrics", "content_tasks", "audit_logs", "task_logs", "topic_config_fields"]
|
|
for table in tables:
|
|
db.execute(text(f"SELECT setval(pg_get_serial_sequence('{table}', 'id'), COALESCE((SELECT MAX(id) FROM {table}), 0) + 1, false)"))
|
|
db.commit()
|
|
print("✅ PostgreSQL 自增序列已同步")
|
|
except Exception as e:
|
|
print(f"⚠️ 序列同步警告: {e}")
|
|
|
|
print("✅ 初始化完成")
|
|
|
|
except Exception as e:
|
|
import traceback
|
|
traceback.print_exc()
|
|
print(f"初始化失败: {e}")
|
|
db.rollback()
|
|
finally:
|
|
db.close()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
init_db()
|
|
import_initial_data() |