Smart auto-tagging: suggest folder groups for unfiled channels (3.4)
New autotag.rs classifies each unfiled channel from already-scanned metadata — source platform + median video duration + upload cadence — into a suggested folder group (Music / Shorts / Long-form & Podcasts / Streams & VODs), with a confidence and a human-readable reason. Mid-length YouTube is left unsuggested rather than guessed at; channels already in a folder are skipped. Pure arithmetic over the in-memory library, computed on demand (no background job). Surfaced in both Maintenance views: - web: GET /api/autotag/suggest + POST /api/autotag/apply (create/reuse the named folder and assign), rendered with per-channel checkboxes and an "Apply -> group" button that re-analyzes after applying. - desktop: a section listing each group with a "Move all -> group" button. Apply mirrors post_assign_folder: DB write + in-memory library update + ETag bump. Reuses an existing folder of the same name (case-insensitive). Unit tests cover the classifier; verified the apply/revert round-trip live. ROADMAP 3.4 marked DONE. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
parent
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commit
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7 changed files with 658 additions and 4 deletions
75
src/app.rs
75
src/app.rs
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@ -229,6 +229,9 @@ pub struct App {
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// Maintenance (library health) screen state. The flag is gone now —
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// Screen::Maintenance + this report's presence drive the render.
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health_report: Option<crate::maintenance::HealthReport>,
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/// Auto-tag grouping suggestions, recomputed when the Maintenance screen
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/// opens and after a group is applied. Empty when there's nothing to suggest.
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autotag_suggestions: Vec<crate::autotag::GroupSuggestion>,
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stats_report: Option<crate::stats::StatsReport>,
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// Per-channel download-options dialog state
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show_channel_options: bool,
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@ -573,6 +576,7 @@ impl App {
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backup_open_tx,
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backup_open_rx,
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health_report: None,
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autotag_suggestions: Vec::new(),
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stats_report: None,
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show_channel_options: false,
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channel_options_target: None,
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@ -1446,6 +1450,7 @@ impl App {
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} else {
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self.health_report =
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Some(crate::maintenance::scan(&self.library_root, &self.library));
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self.autotag_suggestions = crate::autotag::suggest(&self.library);
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self.current_screen = Screen::Maintenance;
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}
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}
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@ -2098,6 +2103,8 @@ impl App {
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let mut rescan_health = false;
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let mut start_dedup = false;
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let mut dedup_remove: Vec<PathBuf> = Vec::new();
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let mut apply_autotag_group: Option<usize> = None;
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let autotag_suggestions = self.autotag_suggestions.clone();
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let dedup_groups = self.dedup_groups.clone();
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let dedup_running = self.dedup_running;
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let dedup_started = self.dedup_started;
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@ -2234,9 +2241,39 @@ impl App {
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});
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}
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}
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ui.add_space(12.0);
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ui.heading("🏷 Auto-tag suggestions");
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ui.label(egui::RichText::new(
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"Unfiled channels grouped by platform + typical video length. \
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Apply a group to move those channels into a folder.").weak().small());
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if autotag_suggestions.is_empty() {
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ui.label(egui::RichText::new(
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"No suggestions — every channel is already filed or too ambiguous to call.")
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.weak());
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}
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for (gi, g) in autotag_suggestions.iter().enumerate() {
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ui.group(|ui| {
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ui.horizontal(|ui| {
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ui.label(egui::RichText::new(
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format!("📁 {} ({})", g.group, g.channels.len())).strong());
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if ui.button(format!("Move all → {}", g.group)).clicked() {
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apply_autotag_group = Some(gi);
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}
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});
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for c in &g.channels {
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ui.label(format!(" {} · {} · {}",
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c.display_name, c.platform_label, c.reason));
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}
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});
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}
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});
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});
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if let Some(gi) = apply_autotag_group {
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self.apply_autotag_group(gi);
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}
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// ── Apply collected actions ────────────────────────────────────────
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let mut changed = false;
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if !to_remove.is_empty() {
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@ -2279,6 +2316,44 @@ impl App {
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}
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}
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/// Apply one auto-tag suggestion: create (or reuse) a folder with the
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/// suggested name and move all of that group's channels into it, mirroring
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/// the DB write onto the in-memory library. Recomputes suggestions so the
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/// now-filed channels drop out.
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fn apply_autotag_group(&mut self, gi: usize) {
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let Some(group) = self.autotag_suggestions.get(gi).cloned() else { return };
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let existing = self.folders.iter()
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.find(|f| f.name.eq_ignore_ascii_case(&group.group))
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.map(|f| f.id);
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let folder_id = match existing {
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Some(id) => id,
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None => match self.db.create_folder(&group.group) {
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Ok(id) => {
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self.folders = self.db.list_folders().unwrap_or_default();
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id
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}
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Err(e) => {
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self.status = format!("Create folder failed: {e}");
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return;
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}
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},
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};
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let mut moved = 0;
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for c in &group.channels {
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if self.db.set_channel_folder(&c.platform, &c.handle, Some(folder_id)).is_ok() {
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for ch in self.library.iter_mut() {
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if ch.platform.dir_name() == c.platform && ch.name == c.handle {
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ch.folder_id = Some(folder_id);
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break;
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}
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}
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moved += 1;
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}
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}
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self.status = format!("Moved {moved} channel(s) → {}", group.group);
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self.autotag_suggestions = crate::autotag::suggest(&self.library);
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}
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fn stats_screen(&mut self, ctx: &egui::Context) {
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let report = match &self.stats_report {
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Some(r) => r.clone(),
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266
src/autotag.rs
Normal file
266
src/autotag.rs
Normal file
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@ -0,0 +1,266 @@
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//! Smart auto-tagging — heuristic grouping suggestions for the library.
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//!
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//! Looks at each *unfiled* channel's source platform and the duration
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//! distribution of its videos and proposes a folder group: "Music",
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//! "Shorts", "Long-form & Podcasts", or "Streams & VODs". Suggestions are
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//! advisory only — the user applies them from the Maintenance view, which
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//! creates the folder (if it doesn't exist yet) and assigns the channels via
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//! the existing folder machinery. Channels already in a folder are left
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//! untouched. Roadmap 3.4.
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//!
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//! Everything here is pure arithmetic over already-scanned metadata
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//! (`Channel`/`Video`), so it's cheap enough to recompute on demand without a
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//! background job.
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use serde::Serialize;
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use crate::library::Channel;
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use crate::platform::Platform;
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/// A single channel's suggested placement.
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#[derive(Serialize, Clone, Debug, PartialEq)]
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pub struct ChannelSuggestion {
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/// Platform dir-name (`channels`/`tiktok`/…) — half of the assignment key.
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pub platform: String,
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pub platform_label: String,
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/// Channel handle (its folder name) — the other half of the key.
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pub handle: String,
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/// Friendly name for display (uploader if known, else the handle).
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pub display_name: String,
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/// Human-readable justification, e.g. "median length 42 s; ~15/mo".
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pub reason: String,
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/// 0.0–1.0 signal strength; drives UI emphasis (strong vs tentative).
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pub confidence: f32,
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}
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/// A proposed folder and the channels that look like they belong in it.
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#[derive(Serialize, Clone, Debug, PartialEq)]
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pub struct GroupSuggestion {
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/// Suggested folder name (created on apply if absent).
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pub group: String,
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pub channels: Vec<ChannelSuggestion>,
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}
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// Duration thresholds (seconds).
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const SHORTS_MAX: f64 = 90.0;
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const LONGFORM_MIN: f64 = 25.0 * 60.0;
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// A channel needs at least this many videos before we trust the signal.
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const MIN_VIDEOS: usize = 3;
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/// Compute grouping suggestions for every unfiled channel that has enough
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/// videos to form a signal. Channels already assigned to a folder are skipped.
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pub fn suggest(channels: &[Channel]) -> Vec<GroupSuggestion> {
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use std::collections::BTreeMap;
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let mut groups: BTreeMap<&'static str, Vec<ChannelSuggestion>> = BTreeMap::new();
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for ch in channels {
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if ch.folder_id.is_some() || ch.total_videos() < MIN_VIDEOS {
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continue;
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}
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let durations: Vec<f64> = ch
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.all_videos()
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.filter_map(|v| v.duration_secs)
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.filter(|d| *d > 0.0)
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.collect();
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let (Some(group), confidence) = classify(ch, &durations) else {
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continue;
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};
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let mut reason = group_reason(ch, &durations);
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if let Some(per_month) = cadence_per_month(ch) {
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reason.push_str(&format!("; ~{per_month}/mo"));
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}
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groups.entry(group).or_default().push(ChannelSuggestion {
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platform: ch.platform.dir_name().to_string(),
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platform_label: ch.platform.display_name().to_string(),
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handle: ch.name.clone(),
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display_name: ch
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.meta
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.as_ref()
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.and_then(|m| m.uploader.clone())
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.filter(|u| !u.is_empty())
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.unwrap_or_else(|| ch.name.clone()),
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reason,
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confidence,
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});
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}
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groups
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.into_iter()
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.map(|(group, mut channels)| {
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// Strongest signal first within each group.
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channels.sort_by(|a, b| {
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b.confidence
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.partial_cmp(&a.confidence)
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.unwrap_or(std::cmp::Ordering::Equal)
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});
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GroupSuggestion {
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group: group.to_string(),
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channels,
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}
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})
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.collect()
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}
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/// Choose a group + confidence for a channel, or `(None, _)` when no signal is
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/// strong enough to suggest anything (the common mid-length YouTube case).
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fn classify(ch: &Channel, durations: &[f64]) -> (Option<&'static str>, f32) {
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match ch.platform {
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Platform::Bandcamp | Platform::SoundCloud => return (Some("Music"), 0.95),
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Platform::Twitch => return (Some("Streams & VODs"), 0.9),
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Platform::TikTok => return (Some("Shorts"), 0.9),
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_ => {}
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}
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// The user already downloads this channel as audio → treat as music.
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if ch.download_options.audio_only {
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return (Some("Music"), 0.85);
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}
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match median(durations) {
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Some(m) if m < SHORTS_MAX => (Some("Shorts"), 0.7),
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Some(m) if m >= LONGFORM_MIN => (Some("Long-form & Podcasts"), 0.7),
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_ => (None, 0.0),
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}
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}
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fn group_reason(ch: &Channel, durations: &[f64]) -> String {
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match ch.platform {
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Platform::Bandcamp | Platform::SoundCloud => return "music platform".to_string(),
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Platform::Twitch => return "Twitch channel".to_string(),
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Platform::TikTok => return "TikTok channel".to_string(),
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_ => {}
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}
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if ch.download_options.audio_only {
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return "downloaded as audio-only".to_string();
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}
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match median(durations) {
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Some(m) => format!("median length {}", fmt_dur(m)),
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None => "no duration data".to_string(),
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}
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}
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fn median(durations: &[f64]) -> Option<f64> {
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if durations.is_empty() {
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return None;
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}
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let mut v = durations.to_vec();
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v.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
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let mid = v.len() / 2;
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Some(if v.len() % 2 == 0 {
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(v[mid - 1] + v[mid]) / 2.0
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} else {
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v[mid]
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})
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}
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fn fmt_dur(secs: f64) -> String {
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let s = secs.round() as u64;
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if s < 90 {
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format!("{s} s")
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} else {
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format!("{} min", (s + 30) / 60)
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}
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}
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/// Rough videos-per-month from the spread of upload dates. `None` if fewer than
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/// two videos carry a parseable `YYYYMMDD`.
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fn cadence_per_month(ch: &Channel) -> Option<u64> {
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let mut dates: Vec<u32> = ch
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.all_videos()
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.filter_map(|v| v.upload_date.as_deref())
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.filter_map(|d| d.parse::<u32>().ok())
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.filter(|d| *d > 0)
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.collect();
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if dates.len() < 2 {
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return None;
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}
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dates.sort_unstable();
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let months = month_span(*dates.first()?, *dates.last()?).max(1);
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Some((dates.len() as u64 / months).max(1))
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}
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/// Whole-month span between two `YYYYMMDD` integers (clamped at 0).
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fn month_span(a: u32, b: u32) -> u64 {
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let (ay, am) = ((a / 10000) as i64, ((a / 100) % 100) as i64);
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let (by, bm) = ((b / 10000) as i64, ((b / 100) % 100) as i64);
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((by - ay) * 12 + (bm - am)).max(0) as u64
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::library::{Channel, Video};
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fn vid(dur: f64, date: &str) -> Video {
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Video {
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id: "x".into(),
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title: "t".into(),
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stem: "t".into(),
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video_path: None,
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thumb_path: None,
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description_path: None,
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info_path: None,
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subtitles: Vec::new(),
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has_live_chat: false,
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duration_secs: Some(dur),
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has_chapters: false,
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file_size: None,
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mtime_unix: None,
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upload_date: Some(date.into()),
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}
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}
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fn channel(platform: Platform, durations: &[f64]) -> Channel {
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let videos: Vec<Video> = durations.iter().map(|d| vid(*d, "20240101")).collect();
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let total = videos.len();
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Channel {
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name: "chan".into(),
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path: std::path::PathBuf::from("/tmp/chan"),
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platform,
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source_url: None,
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videos,
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playlists: Vec::new(),
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meta: None,
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total_videos_cached: total,
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total_size_cached: 0,
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download_options: Default::default(),
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folder_id: None,
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}
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}
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#[test]
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fn shorts_detected_by_median_duration() {
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let groups = suggest(&[channel(Platform::YouTube, &[30.0, 45.0, 20.0])]);
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assert_eq!(groups.len(), 1);
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assert_eq!(groups[0].group, "Shorts");
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assert_eq!(groups[0].channels.len(), 1);
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}
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#[test]
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fn longform_detected_by_median_duration() {
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let groups = suggest(&[channel(Platform::YouTube, &[3600.0, 2700.0, 4000.0])]);
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assert_eq!(groups[0].group, "Long-form & Podcasts");
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}
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#[test]
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fn music_platform_grouped_regardless_of_duration() {
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let groups = suggest(&[channel(Platform::Bandcamp, &[200.0, 240.0, 180.0])]);
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assert_eq!(groups[0].group, "Music");
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}
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#[test]
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fn mid_length_youtube_yields_no_suggestion() {
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// ~8 min median: ambiguous, deliberately not suggested.
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let groups = suggest(&[channel(Platform::YouTube, &[480.0, 500.0, 460.0])]);
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assert!(groups.is_empty());
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}
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#[test]
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fn filed_or_tiny_channels_are_skipped() {
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let mut filed = channel(Platform::YouTube, &[30.0, 30.0, 30.0]);
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filed.folder_id = Some(7);
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let tiny = channel(Platform::YouTube, &[30.0]); // < MIN_VIDEOS
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assert!(suggest(&[filed, tiny]).is_empty());
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}
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}
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@ -14,6 +14,7 @@
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#![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
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mod app;
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mod autotag;
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mod config;
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mod crash;
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mod database;
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|
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81
src/web.rs
81
src/web.rs
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@ -2112,6 +2112,85 @@ async fn get_maintenance_scan(State(state): State<Arc<WebState>>) -> impl IntoRe
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Json(report)
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}
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/// `GET /api/autotag/suggest` — heuristic folder-grouping suggestions for
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/// unfiled channels (see [`crate::autotag`]). Pure arithmetic over the
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/// in-memory library, so it's computed on demand rather than as a job.
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async fn get_autotag_suggest(State(state): State<Arc<WebState>>) -> impl IntoResponse {
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let lib = state.library.lock_recover();
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Json(crate::autotag::suggest(&lib))
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}
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#[derive(Deserialize)]
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struct AutotagChannel {
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platform: String,
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handle: String,
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}
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#[derive(Deserialize)]
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struct AutotagApplyBody {
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/// Target folder name; created if it doesn't already exist.
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group: String,
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channels: Vec<AutotagChannel>,
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}
|
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|
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/// `POST /api/autotag/apply` — accept a suggested group: create the folder
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/// (or reuse an existing one with the same name) and move the given channels
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/// into it. Mirrors the move onto the in-memory library + bumps the ETag, the
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/// same way `post_assign_folder` does for a single channel.
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async fn post_autotag_apply(
|
||||
State(state): State<Arc<WebState>>,
|
||||
Json(body): Json<AutotagApplyBody>,
|
||||
) -> impl IntoResponse {
|
||||
let name = body.group.trim();
|
||||
if name.is_empty() {
|
||||
return (StatusCode::BAD_REQUEST, "empty group name").into_response();
|
||||
}
|
||||
// Reuse a folder of the same name (case-insensitive) if one exists,
|
||||
// otherwise create it.
|
||||
let existing = match state.db.list_folders() {
|
||||
Ok(folders) => folders
|
||||
.iter()
|
||||
.find(|f| f.name.eq_ignore_ascii_case(name))
|
||||
.map(|f| f.id),
|
||||
Err(e) => return (StatusCode::INTERNAL_SERVER_ERROR, format!("db: {e}")).into_response(),
|
||||
};
|
||||
let folder_id = match existing {
|
||||
Some(id) => id,
|
||||
None => match state.db.create_folder(name) {
|
||||
Ok(id) => id,
|
||||
Err(e) => {
|
||||
return (StatusCode::INTERNAL_SERVER_ERROR, format!("create folder: {e}"))
|
||||
.into_response()
|
||||
}
|
||||
},
|
||||
};
|
||||
|
||||
let mut applied = 0usize;
|
||||
for c in &body.channels {
|
||||
if state
|
||||
.db
|
||||
.set_channel_folder(&c.platform, &c.handle, Some(folder_id))
|
||||
.is_ok()
|
||||
{
|
||||
applied += 1;
|
||||
}
|
||||
}
|
||||
{
|
||||
let mut lib = state.library.lock_recover();
|
||||
for ch in lib.iter_mut() {
|
||||
if body
|
||||
.channels
|
||||
.iter()
|
||||
.any(|c| ch.platform.dir_name() == c.platform && ch.name == c.handle)
|
||||
{
|
||||
ch.folder_id = Some(folder_id);
|
||||
}
|
||||
}
|
||||
}
|
||||
bump_library_version(&state);
|
||||
Json(serde_json::json!({ "folder_id": folder_id, "applied": applied })).into_response()
|
||||
}
|
||||
|
||||
#[derive(Deserialize)]
|
||||
struct RemoveRequest {
|
||||
paths: Vec<PathBuf>,
|
||||
|
|
@ -3088,6 +3167,8 @@ async fn serve(config: Config, shutdown_rx: std::sync::mpsc::Receiver<()>) {
|
|||
.route("/api/plex/generate", post(post_plex_generate))
|
||||
.route("/api/maintenance/scan", get(get_maintenance_scan))
|
||||
.route("/api/maintenance/remove", post(post_maintenance_remove))
|
||||
.route("/api/autotag/suggest", get(get_autotag_suggest))
|
||||
.route("/api/autotag/apply", post(post_autotag_apply))
|
||||
.route("/api/maintenance/dedup/scan", post(post_dedup_scan))
|
||||
.route("/api/maintenance/dedup/status", get(get_dedup_status))
|
||||
.route("/api/maintenance/repair/:id", post(post_maintenance_repair))
|
||||
|
|
|
|||
|
|
@ -2200,8 +2200,63 @@ function renderMaintenance(r){
|
|||
h+=`<h3 style="font-size:13px;margin:16px 0 8px">Similar content (perceptual)</h3>
|
||||
<div class="settings-hint" style="margin-bottom:8px">Finds the same video re-uploaded under a different ID — mirrors, re-encodes, resolution changes — by comparing sampled frames. The first scan fingerprints your library (a few minutes); after that it's cached, so re-scans are quick.</div>
|
||||
<div id="dedup-area"></div>`;
|
||||
h+=`<h3 style="font-size:13px;margin:16px 0 8px">🏷 Auto-tag suggestions</h3>
|
||||
<div class="settings-hint" style="margin-bottom:8px">Groups your <b>unfiled</b> channels by source platform and typical video length. Review a group and apply it to drop those channels into a folder — nothing moves until you click Apply.</div>
|
||||
<div id="autotag-area"><em style="color:var(--muted);font-size:12px">Analyzing…</em></div>`;
|
||||
body.innerHTML=h;
|
||||
initDedupArea();
|
||||
initAutotagArea();
|
||||
}
|
||||
|
||||
/* ── Smart auto-tagging (suggested folder groups) ───────────────── */
|
||||
async function initAutotagArea(){
|
||||
const area=document.getElementById('autotag-area');if(!area)return;
|
||||
let groups;
|
||||
try{groups=await(await api('/api/autotag/suggest')).json();}
|
||||
catch(e){area.innerHTML=`<div style="color:#f87171;font-size:12px">Could not analyze: ${esc(e.message)}</div>`;return}
|
||||
renderAutotag(groups);
|
||||
}
|
||||
function renderAutotag(groups){
|
||||
const area=document.getElementById('autotag-area');if(!area)return;
|
||||
if(!groups||!groups.length){area.innerHTML='<div style="color:var(--muted);font-size:12px">No grouping suggestions — every channel is already filed or too ambiguous to call.</div>';return}
|
||||
// Confidence → dot colour: strong (green) ≥ .85, medium (amber) ≥ .7, else grey.
|
||||
const dot=c=>{const col=c>=0.85?'#4ade80':c>=0.7?'#facc15':'#9ca3af';return `<span title="confidence ${(c*100).toFixed(0)}%" style="flex-shrink:0;width:8px;height:8px;border-radius:50%;background:${col};display:inline-block"></span>`};
|
||||
let h='';
|
||||
groups.forEach((g,gi)=>{
|
||||
h+=`<div style="border:1px solid var(--border);border-radius:6px;padding:8px;margin-bottom:8px" data-grp="${gi}">
|
||||
<div style="display:flex;align-items:center;gap:8px;margin-bottom:6px">
|
||||
<span style="font-weight:600;font-size:12px;flex:1">📁 ${esc(g.group)} <span style="color:var(--muted)">(${g.channels.length})</span></span>
|
||||
<button class="primary" onclick="applyAutotag(${gi},this)">Apply → ${esc(g.group)}</button>
|
||||
</div>`;
|
||||
g.channels.forEach((c,ci)=>{
|
||||
h+=`<label style="display:flex;align-items:center;gap:8px;font-size:12px;padding:3px 0">
|
||||
<input type="checkbox" class="at-chk" data-grp="${gi}" data-ci="${ci}" checked>
|
||||
${dot(c.confidence)}
|
||||
<span style="flex:1;overflow:hidden;text-overflow:ellipsis;white-space:nowrap">${esc(c.display_name)} <span style="color:var(--muted)">· ${esc(c.platform_label)} · ${esc(c.reason)}</span></span>
|
||||
</label>`;
|
||||
});
|
||||
h+=`</div>`;
|
||||
});
|
||||
area.innerHTML=h;
|
||||
// Stash the data so applyAutotag can read the channel keys back.
|
||||
area._groups=groups;
|
||||
}
|
||||
async function applyAutotag(gi,btn){
|
||||
const area=document.getElementById('autotag-area');
|
||||
const groups=area&&area._groups;if(!groups||!groups[gi])return;
|
||||
const g=groups[gi];
|
||||
const picked=[...area.querySelectorAll(`.at-chk[data-grp="${gi}"]`)]
|
||||
.filter(cb=>cb.checked)
|
||||
.map(cb=>g.channels[+cb.dataset.ci])
|
||||
.map(c=>({platform:c.platform,handle:c.handle}));
|
||||
if(!picked.length){setStatus('No channels selected');return}
|
||||
btn.disabled=true;btn.textContent='Applying…';
|
||||
try{
|
||||
const r=await(await api('/api/autotag/apply',{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({group:g.group,channels:picked})})).json();
|
||||
setStatus(`Moved ${r.applied} channel${r.applied===1?'':'s'} → ${g.group}`);
|
||||
await loadLibrary();renderSidebar();
|
||||
initAutotagArea(); // re-analyze: applied channels drop out (now filed)
|
||||
}catch(e){setStatus('Apply failed: '+e.message);btn.disabled=false;btn.textContent='Apply → '+g.group;}
|
||||
}
|
||||
|
||||
/* ── Perceptual dedup (similar content) ─────────────────────────── */
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue