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.

reaction_board/config.py

@@ -18,6 +18,7 @@ from typing import Any, Mapping
 
 DEFAULT_CLASSIFY: dict[str, Any] = {
     "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",
@@ -64,6 +65,11 @@ DEFAULT_CONFIG: dict[str, Any] = {
         "snapshot_at": "00:01",
         "candidate_ttl_days": 7,
     },
+    "discover": {
+        "keywords": ["咻咻满 reaction", "咻咻满 充电"],
+        "pages": 2,
+        "window_days": 14,
+    },
     "notify": {"min_score": 2, "max_items_per_message": 10},
     "classify": DEFAULT_CLASSIFY,
     "heat_weights": DEFAULT_HEAT_WEIGHTS,
@@ -148,6 +154,13 @@ class NotifyConfig:
     max_items_per_message: int
 
 
+@dataclass(frozen=True)
+class DiscoverConfig:
+    keywords: tuple[str, ...]
+    pages: int
+    window_days: int
+
+
 @dataclass(frozen=True)
 class AppConfig:
     path: Path
@@ -160,6 +173,7 @@ class AppConfig:
     up_blacklist_seed: tuple[int, ...]
     schedule: ScheduleConfig
     notify: NotifyConfig
+    discover: DiscoverConfig
     classify: Mapping[str, Any]
     heat_weights: Mapping[str, float]
     raw: Mapping[str, Any] = field(repr=False, compare=False)
@@ -367,6 +381,24 @@ def _build_config(data: Mapping[str, Any], path: Path) -> AppConfig:
         ),
     )
 
+    discover_raw = data["discover"]
+    if not isinstance(discover_raw, Mapping):
+        raise ConfigError("discover 必须是对象")
+    keywords = discover_raw.get("keywords", [])
+    if not isinstance(keywords, list) or not keywords:
+        raise ConfigError("discover.keywords 必须是非空数组")
+    discover = DiscoverConfig(
+        keywords=tuple(
+            _as_str(item, "discover.keywords[]") for item in keywords
+        ),
+        pages=_as_int(
+            discover_raw.get("pages", 2), "discover.pages", minimum=1, maximum=10
+        ),
+        window_days=_as_int(
+            discover_raw.get("window_days", 14), "discover.window_days", minimum=1
+        ),
+    )
+
     classify_raw = data["classify"]
     if not isinstance(classify_raw, Mapping):
         raise ConfigError("classify 必须是对象")
@@ -376,6 +408,9 @@ def _build_config(data: Mapping[str, Any], path: Path) -> AppConfig:
     )
     if not classify["require_title"]:
         raise ConfigError("classify.require_title 不能为空")
+    classify["self_mid"] = _as_int(
+        classify.get("self_mid", 37754047), "classify.self_mid", minimum=1
+    )
     for key in ("positive", "charge", "negative"):
         classify[key] = _as_str_list(classify.get(key, []), f"classify.{key}")
     boost = classify.get("duration_boost", {})
@@ -407,6 +442,7 @@ def _build_config(data: Mapping[str, Any], path: Path) -> AppConfig:
         up_blacklist_seed=_as_int_list(data["up_blacklist_seed"], "up_blacklist_seed"),
         schedule=schedule,
         notify=notify,
+        discover=discover,
         classify=classify,
         heat_weights=heat,
         raw=data,