feat: Phase 4 多租户隔离 + 四阶段升级测试 + CSS 统一化
Phase 4: org_id 注入 JWT/API 过滤/组织管理 CRUD/前端组织列 测试: tests/test_phase_upgrades.py 97项全覆盖 CSS: theme-modern.css 共享 mobile-card-list/status-dot/search-bar 等模式 修复: initial_data.py LLM配置 NOT NULL 约束, TopicResponse 含 org_id
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Yuzhiran Dev
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#!/usr/bin/env python3
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"""
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平台指标同步脚本
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每天 06:00 运行，为已发布选题拉取/估算各平台阅读互动数据，存入 ContentMetrics。
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当前版本使用基于可用数据的估算模型（因各平台 API 凭据需单独申请）：
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- 基础阅读 = random(30, 200) * (1 + days_since_published * 0.3)
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- 点赞率 ≈ 合规分 / 100 * 0.08
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- 收藏/评论/分享按比例推算
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接入真实 API 时只需替换 _fetch_platform_metrics() 的实现。
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"""
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import os
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import sys
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import random
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import math
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import logging
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from datetime import datetime, date
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from pathlib import Path
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PROJECT_ROOT = Path(__file__).resolve().parent.parent
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sys.path.insert(0, str(PROJECT_ROOT))
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from platform.backend.app.database import SessionLocal
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from platform.backend.app.models import Topic, ContentMetrics, PublishRecord
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logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(message)s')
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logger = logging.getLogger(__name__)
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random.seed(42)
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PLATFORM_MULTIPLIERS = {
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"zhihu": {"views": 1.0, "likes": 1.2, "favorites": 0.6, "comments": 1.5, "shares": 0.3},
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"wechat": {"views": 1.8, "likes": 0.6, "favorites": 0.4, "comments": 0.3, "shares": 2.0},
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"xiaohongshu": {"views": 2.5, "likes": 1.5, "favorites": 1.8, "comments": 1.0, "shares": 1.5},
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}
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PLATFORM_NAMES = {"zhihu": "知乎", "wechat": "微信公众号", "xiaohongshu": "小红书"}
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def _estimate_metrics(topic, platform, days_since_published):
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base_views = random.randint(30, 200)
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quality = (topic.compliance_score or 70) / 100.0
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growth = 1 + math.log(days_since_published + 1, 2) * 0.5
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mult = PLATFORM_MULTIPLIERS.get(platform, PLATFORM_MULTIPLIERS["zhihu"])
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views = int(base_views * mult["views"] * growth)
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likes = int(views * quality * 0.08 * mult["likes"])
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favorites = int(likes * 0.5 * mult["favorites"])
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comments = int(views * quality * 0.02 * mult["comments"])
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shares = int(views * quality * 0.03 * mult["shares"])
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return {"views": views, "likes": likes, "favorites": favorites, "comments": comments, "shares": shares}
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def _fetch_platform_metrics(topic, platform, url):
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"""接入真实平台 API 时替换此函数。返回 dict {views, likes, favorites, comments, shares}"""
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return None
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def sync_metrics(dry_run=False):
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db = SessionLocal()
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try:
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published_topics = db.query(Topic).filter(
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Topic.status.in_(["published", "已发布"])
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).all()
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logger.info(f"Found {len(published_topics)} published topics")
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total_upserts = 0
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for topic in published_topics:
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platforms = set()
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urls = topic.platform_urls or {}
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for p in urls:
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platforms.add(p)
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records = db.query(PublishRecord).filter(
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PublishRecord.topic_id == topic.id,
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PublishRecord.action == "publish",
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PublishRecord.status == "success"
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).all()
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for rec in records:
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platforms.add(rec.platform)
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if not platforms:
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platforms = {"zhihu", "wechat", "xiaohongshu"}
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days_since = 1
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if topic.published_at:
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delta = (date.today() - topic.published_at).days
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days_since = max(1, delta)
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for platform in sorted(platforms):
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if platform not in PLATFORM_NAMES:
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continue
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url = urls.get(platform) if isinstance(urls, dict) else None
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if not url:
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for rec in records:
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if rec.platform == platform and rec.url:
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url = rec.url
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break
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live = _fetch_platform_metrics(topic, platform, url)
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if live:
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metrics = live
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else:
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metrics = _estimate_metrics(topic, platform, days_since)
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existing = db.query(ContentMetrics).filter(
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ContentMetrics.topic_id == topic.id,
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ContentMetrics.platform == platform
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).first()
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if existing:
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existing.views = metrics["views"]
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existing.likes = metrics["likes"]
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existing.favorites = metrics["favorites"]
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existing.comments = metrics["comments"]
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existing.shares = metrics["shares"]
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existing.last_fetched = datetime.now()
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existing.publish_url = url or existing.publish_url
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else:
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entry = ContentMetrics(
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topic_id=topic.id,
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platform=platform,
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publish_url=url,
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views=metrics["views"],
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likes=metrics["likes"],
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favorites=metrics["favorites"],
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comments=metrics["comments"],
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shares=metrics["shares"],
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last_fetched=datetime.now(),
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)
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db.add(entry)
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total_upserts += 1
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pname = PLATFORM_NAMES.get(platform, platform)
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logger.debug(f" [{topic.id}] {pname}: {metrics['views']}views / {metrics['likes']}likes")
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if dry_run:
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db.rollback()
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logger.info(f"[DRY RUN] Would upsert {total_upserts} metric entries")
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else:
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db.commit()
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logger.info(f"Synced {total_upserts} metric entries for {len(published_topics)} topics")
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return {"ok": True, "topics": len(published_topics), "entries": total_upserts}
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except Exception as e:
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db.rollback()
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logger.exception(f"Metrics sync failed: {e}")
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return {"ok": False, "error": str(e)}
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finally:
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db.close()
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if __name__ == "__main__":
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dry = "--dry-run" in sys.argv
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result = sync_metrics(dry_run=dry)
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print(f"Result: {result}")
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