Docs/Skills and code/src/

src/analysis/within-channel-queue-evidence.js

Code80 lines4.9 KBsrc/

export function buildWithinChannelQueueEvidence({ profiles, outliers, channels, version }) {
  const queueEvidence = [];
  const channelByUrl = new Map(channels.map(row => [row.channel_url, row]));
  const outliersByChannel = new Map();
  for (const item of outliers) {
    if (!outliersByChannel.has(item.channel_url)) outliersByChannel.set(item.channel_url, []);
    outliersByChannel.get(item.channel_url).push(item);
  }
  for (const profile of profiles) {
    const channel = channelByUrl.get(profile.channel_url) ?? {};
    const videoOutliers = outliersByChannel.get(profile.channel_url) ?? [];
    const bestLifetime = [...videoOutliers].filter(row => row.view_count != null).sort((a, b) => (b.lifetime_log_robust_z ?? -Infinity) - (a.lifetime_log_robust_z ?? -Infinity) || (b.lifetime_relative_ratio ?? 0) - (a.lifetime_relative_ratio ?? 0)).slice(0, 3);
    const bestAgeAdjusted = [...videoOutliers].filter(row => row.views_per_day != null).sort((a, b) => (b.age_adjusted_log_robust_z ?? -Infinity) - (a.age_adjusted_log_robust_z ?? -Infinity) || (b.age_cohort_relative_ratio ?? 0) - (a.age_cohort_relative_ratio ?? 0)).slice(0, 3);
    const base = {
      sample_assessment: profile.sample_assessment,
      linked_unique_video_count: profile.linked_unique_video_count,
      eligible_view_count: profile.eligible_view_count,
      catalogue_coverage_ratio: profile.catalogue_coverage_ratio,
      median_views: profile.median_views,
      p90_views: profile.p90_views,
      top_5_view_share: profile.top_5_view_share,
      reach_threshold_share: profile.reach_threshold_share,
      outlier_candidate_count: profile.outlier_candidate_count,
      strong_outlier_count: profile.strong_outlier_count,
      reliable_dated_view_count: profile.reliable_dated_view_count,
      median_views_per_day: profile.median_views_per_day
    };
    const candidates = {
      learn_from: {
        ...base,
        twice_median_share: profile.twice_median_share,
        outlier_concentration_warning: profile.top_5_view_share != null && profile.top_5_view_share >= 0.5,
        interpretation: profile.eligible_view_count < 10 ? "small_sample_do_not_infer_repeatable_format" : profile.top_5_view_share != null && profile.top_5_view_share >= 0.5 ? "inspect_successful_examples_and_concentration_before_generalizing" : "use_distribution_and_repeatability_as_supporting_evidence"
      },
      breaking_out: {
        ...base,
        best_lifetime_video_ids: bestLifetime.map(row => row.video_id),
        best_age_adjusted_video_ids: bestAgeAdjusted.map(row => row.video_id),
        momentum_supported: false,
        interpretation: profile.reliable_dated_view_count < 5 ? "static_relative_performance_only_no_growth_claim" : "static_relative_performance_and_age_proxy_no_acceleration_claim"
      },
      durable_exemplars: {
        ...base,
        reliable_publication_span_days: profile.reliable_publication_span_days,
        declared_video_count: profile.declared_video_count,
        strong_outlier_share: profile.strong_outlier_share,
        interpretation: profile.linked_unique_video_count < 20 ? "limited_catalogue_evidence" : profile.top_5_view_share != null && profile.top_5_view_share >= 0.5 ? "catalogue_performance_may_be_hit_concentrated" : "catalogue_depth_and_distribution_available_for_review"
      },
      unexplored_niches: {
        ...base,
        niche_rarity_measured: false,
        interpretation: "within_channel_traction_evidence_only_niche_rarity_is_not_measured_by_this_layer"
      },
      reference_inspiration: {
        ...base,
        strongest_lifetime_video_examples: bestLifetime.map(row => ({ video_id: row.video_id, title: row.title, views: row.view_count, relative_ratio: row.lifetime_relative_ratio, outlier_label: row.lifetime_outlier_label })),
        strongest_age_adjusted_video_examples: bestAgeAdjusted.map(row => ({ video_id: row.video_id, title: row.title, views: row.view_count, views_per_day: row.views_per_day, cohort_ratio: row.age_cohort_relative_ratio, outlier_label: row.age_adjusted_outlier_label })),
        interpretation: "video_candidates_for_manual_editorial_inspection_not_a_quality_judgment"
      }
    };
    for (const [queueName, payload] of Object.entries(candidates)) {
      queueEvidence.push({
        channel_url: profile.channel_url,
        channel_name: profile.channel_name ?? channel.name ?? null,
        queue_name: queueName,
        integration_status: "observational_only",
        score_effect: 0,
        candidate_features_json: JSON.stringify(payload),
        evidence_refs_json: JSON.stringify({
          video_ids: [...new Set([...(payload.best_lifetime_video_ids ?? []), ...(payload.best_age_adjusted_video_ids ?? []), ...(payload.strongest_lifetime_video_examples ?? []).map(row => row.video_id), ...(payload.strongest_age_adjusted_video_examples ?? []).map(row => row.video_id)])],
          analysis_version: version
        }),
        interpretation: payload.interpretation
      });
    }
  }

  return queueEvidence;
}

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