fix(analytics): shrink video efficiency and gate noisy boards by views
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kairee committed
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@@ -699,6 +699,7 @@ class DashboardQueries:
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latest = self._latest_date(conn) or self._today()
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analytics = self.config_store.get().analytics
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duration_sorts = {"efficiency", "interaction_efficiency"}
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min_view_for_ranking = max(0, int(analytics.min_view_for_ranking))
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within_field = None
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if within_days is not None:
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if within_days < 1:
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@@ -716,7 +717,7 @@ class DashboardQueries:
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)
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aids = [int(video["aid"]) for video in videos]
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snapshots = self._snapshot_map(conn, aids)
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_, _, heat, percentiles = self._global_heat(conn)
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videos_all, snapshots_all, heat, percentiles = self._global_heat(conn)
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previous: dict[int, dict[str, Any]] = {}
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if sort in {"growth", "growth_rate", "interaction"}:
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@@ -740,16 +741,60 @@ class DashboardQueries:
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if sort in duration_sorts:
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latest_start, _ = day_bounds(latest)
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minimum_seconds = max(0, int(analytics.min_duration_seconds))
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min_view = max(0, int(analytics.min_view_for_efficiency))
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items = [
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item for item in items
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if item["metrics"] is not None
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and int(item["duration"] or 0) >= minimum_seconds
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and int((item["metrics"] or {}).get("view", 0)) >= min_view
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and int((item["metrics"] or {}).get("view", 0)) >= min_view_for_ranking
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and is_mature(
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item["pubdate"], latest_start, analytics.maturity_days
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)
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]
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kappa_hours = max(0, int(analytics.video_shrink_minutes)) / 60.0
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total_hours = 0.0
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total_views = 0.0
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total_interactions = 0.0
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for video in videos_all:
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hours = content_hours(video.get("duration"))
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if hours is None:
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continue
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metrics = _metric_map(snapshots_all.get(int(video["aid"])))
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if metrics is None:
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continue
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total_hours += hours
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total_views += metrics["view"]
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total_interactions += (
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metrics["like"] + metrics["coin"] + metrics["favorite"]
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)
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prior_views = total_views / total_hours if total_hours > 0 else 0.0
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prior_interactions = (
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total_interactions / total_hours if total_hours > 0 else 0.0
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)
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for item in items:
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hours = content_hours(item.get("duration")) or 0.0
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metrics = item["metrics"] or {}
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denominator = hours + kappa_hours
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if hours <= 0 or denominator <= 0:
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item["efficiency_score"] = None
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item["interaction_efficiency_score"] = None
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continue
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view = int(metrics.get("view", 0))
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interactions = (
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int(metrics.get("like", 0))
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+ int(metrics.get("coin", 0))
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+ int(metrics.get("favorite", 0))
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)
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item["efficiency_score"] = (
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view + kappa_hours * prior_views
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) / denominator
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item["interaction_efficiency_score"] = (
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interactions + kappa_hours * prior_interactions
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) / denominator
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if sort == "heat":
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items = [
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item for item in items
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if int((item["metrics"] or {}).get("view", 0)) >= min_view_for_ranking
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]
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if sort == "interaction":
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items = [item for item in items if item["interaction_rate"] is not None]
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if sort in {"growth", "growth_rate"}:
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@@ -773,7 +818,11 @@ class DashboardQueries:
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if sort == "interaction":
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return item["interaction_rate"] if item["interaction_rate"] is not None else float("-inf")
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if sort in {"efficiency", "interaction_efficiency"}:
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value = item.get(sort)
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field = (
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"efficiency_score" if sort == "efficiency"
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else "interaction_efficiency_score"
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)
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value = item.get(field)
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return value if value is not None else float("-inf")
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if sort in {"growth", "growth_rate"}:
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field = "delta" if sort == "growth" else "rate"
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@@ -800,13 +849,15 @@ class DashboardQueries:
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duration_filter = {
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"min_duration_seconds": max(0, int(analytics.min_duration_seconds)),
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"maturity_days": max(0, int(analytics.maturity_days)),
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"min_view": max(0, int(analytics.min_view_for_efficiency)),
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"min_view": min_view_for_ranking,
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"shrink_minutes": max(0, int(analytics.video_shrink_minutes)),
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}
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if not items:
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available = False
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reason = (
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f"仅统计时长 ≥ {duration_filter['min_duration_seconds']} 秒、"
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f"发布满 {duration_filter['maturity_days']} 天的视频"
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f"发布满 {duration_filter['maturity_days']} 天、"
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f"播放 ≥ {duration_filter['min_view']} 的视频"
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)
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return {
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"sort": sort,
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@@ -1425,7 +1476,8 @@ class DashboardQueries:
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"analytics": {
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"min_duration_seconds": cfg.analytics.min_duration_seconds,
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"maturity_days": cfg.analytics.maturity_days,
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"min_view_for_efficiency": cfg.analytics.min_view_for_efficiency,
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"min_view_for_ranking": cfg.analytics.min_view_for_ranking,
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"video_shrink_minutes": cfg.analytics.video_shrink_minutes,
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"shrink_minutes": cfg.analytics.shrink_minutes,
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},
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"heat_weights": {
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