feat(p3): add discovery, telegram notifications, and one-click favorites

Implement WBI video search with legacy fallback, classification scoring, candidate pool, permanent seen-aid dedupe, blacklist filtering, and batched Telegram notifications. Add write client for fav deal/sort, target-folder selection, insertion position calculation, read-back verification, fav_action locking, retry on failure, ignore and blacklist actions. Wire discovery, candidate cleanup, Telegram long polling, and new discover/candidates CLI commands into the scheduler. Add migration v3 for candidate duration and index stats.

tests/test_classify.py

@@ -0,0 +1,77 @@
+# -*- coding: utf-8 -*-
+"""候选分类纯函数测试: uv run python tests/test_classify.py"""
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+sys.stdout.reconfigure(encoding="utf-8")
+
+from reaction_board.classify import (  # noqa: E402
+    clean_title,
+    contains_any,
+    normalize_title,
+    parse_duration,
+    passes_required_title,
+    score_item,
+)
+
+CLASSIFY = {
+    "require_title": "咻咻满",
+    "self_mid": 37754047,
+    "positive": ["reaction", "re", "反应", "看", "听", "初听", "首次", "点评", "锐评", "路人", "震惊", "双人"],
+    "charge": ["充电", "加急", "专场"],
+    "negative": ["歌切", "切片", "纯享", "搬运", "完整版"],
+    "duration_boost": {"gt_30min": 1, "gt_60min": 2},
+}
+
+
+def test_title_helpers():
+    assert normalize_title("咻咻满 REACTION") == "咻咻满 reaction"
+    assert clean_title('<em class="keyword">咻咻满</em> reaction') == "咻咻满 reaction"
+    assert passes_required_title("【咻咻满】初听", "咻咻满")
+    assert passes_required_title("咻咻满", "咻咻满")
+    assert not passes_required_title("其他 UP 的 reaction", "咻咻满")
+    assert contains_any("咻咻满 REACTION", ["reaction"])
+    assert not contains_any("咻咻满", [])
+
+
+def test_parse_duration():
+    assert parse_duration("105:5") == 105 * 60 + 5
+    assert parse_duration("1:02:03") == 3723
+    assert parse_duration("15:30") == 930
+    assert parse_duration(600) == 600
+    assert parse_duration("bad") == 0
+    assert parse_duration(None) == 0
+    assert parse_duration(-5) == 0
+
+
+def test_score_rules():
+    def score(title, up_mid=100, duration=0):
+        return score_item(
+            title=title, up_mid=up_mid,
+            duration_seconds=duration, classify=CLASSIFY,
+        )
+
+    assert score("咻咻满 reaction", duration=60) == 2
+    assert score("咻咻满 充电", duration=60) == 2
+    assert score("咻咻满 reaction 充电", duration=60) == 4
+    assert score("咻咻满 reaction", duration=61 * 60) == 4
+    assert score("咻咻满 reaction", duration=31 * 60) == 3
+    assert score("咻咻满 reaction", duration=30 * 60) == 2
+    assert score("咻咻满 切片", duration=60) == -5
+    assert score("咻咻满 reaction 切片", duration=60) == -3
+    assert score("咻咻满 reaction", up_mid=37754047, duration=60) == -1
+    assert score("咻咻满", duration=0) == 0
+    assert score("咻咻满", duration=61 * 60) == 2
+
+
+def main():
+    test_title_helpers()
+    test_parse_duration()
+    test_score_rules()
+    print("OK: 候选标题归一化、时长解析与分类打分测试全部通过")
+
+
+if __name__ == "__main__":
+    main()