simplification

Author: TimilsinaBimal

app/api/endpoints/manifest.py

@@ -18,8 +18,6 @@ def get_base_manifest(user_settings: UserSettings | None = None):
     catalogs = []
 
     if user_settings:
-
-        print(user_settings)
         # Handle watchly.rec
         rec_config = next((c for c in user_settings.catalogs if c.id == "watchly.rec"), None)
         if not rec_config or rec_config.enabled:
@@ -94,8 +92,6 @@ async def _manifest_handler(response: Response, token: str):
     if not creds:
         raise HTTPException(status_code=401, detail="Token not found. Please reconfigure the addon.")
 
-    logger.info(f"[{token}] User settings: {user_settings}")
-
     base_manifest = get_base_manifest(user_settings)
 
     bundle = StremioBundle()

app/services/profile/scorer.py

@@ -136,7 +136,7 @@ def _year_to_era(year: int) -> str:
         if year < 1970:
             return "pre-1970s"
         elif year < 1980:
-            return "1970s"
+            return "1980s"
         elif year < 1990:
             return "1990s"
         elif year < 2000:

app/services/scoring.py

@@ -65,10 +65,6 @@ def _calculate_score_components(self, item: StremioLibraryItem) -> dict:
         completion_score = 0.0
         completion_rate = 0.0
 
-        # Prefer ratio-based completion when duration is available to avoid
-        # treating short partial plays as full completion just because
-        # `timesWatched` was incremented. If duration is missing, fall back
-        # to conservative estimates based on timesWatched/flaggedWatched.
         if state.duration and state.duration > 0:
             try:
                 ratio = min(float(state.timeWatched) / float(state.duration), 1.0)
@@ -144,7 +140,7 @@ def _calculate_score_components(self, item: StremioLibraryItem) -> dict:
             days_since = (now - last_watched).days
 
             MAX_RECENCY_SCORE = 100.0
-            HALF_LIFE_DAYS = 20.0  # Days for score to halve
+            HALF_LIFE_DAYS = 60.0  # Days for score to halve
 
             if days_since >= 0:
                 recency_score = MAX_RECENCY_SCORE * math.exp(-days_since / HALF_LIFE_DAYS)