From 72928307a060c717af81443d9ccd16549363675d Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Fri, 12 Dec 2025 16:01:11 +0545
Subject: [PATCH 01/11] feat: better bare row name generation

---
 app/services/row_generator.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/app/services/row_generator.py b/app/services/row_generator.py
index 3ba331e..250177e 100644
--- a/app/services/row_generator.py
+++ b/app/services/row_generator.py
@@ -108,7 +108,7 @@ def get_cname(code):
                         f"Genre: {get_gname(g_id)} + Keyword: {normalize_keyword(kw_name)}"
                     )
                     if not title:
-                        title = f"{get_gname(g_id)} {normalize_keyword(kw_name)}"
+                        title = f"{normalize_keyword(kw_name)} {get_gname(g_id)}"
                         # keyword and genre can have same name sometimes, remove if so
                         title = " ".join(dict.fromkeys(title.split()))
 
@@ -129,7 +129,7 @@ def get_cname(code):
             if c_adj:
                 title = await gemini_service.generate_content_async(f"Genre: {get_gname(g_id)} + Country: {c_adj}")
                 if not title:
-                    title = f"{get_gname(g_id)} {c_adj}"
+                    title = f"{c_adj} {get_gname(g_id)}"
                 rows.append(
                     RowDefinition(
                         title=title,
@@ -152,7 +152,7 @@ def get_cname(code):
                 decade_str = str(decade_start)[2:] + "s"  # "90s"
                 title = await gemini_service.generate_content_async(f"Genre: {get_gname(g_id)} + Era: {decade_str}")
                 if not title:
-                    title = f"{get_gname(g_id)} {decade_str}"
+                    title = f"{decade_str} {get_gname(g_id)}"
                 rows.append(
                     RowDefinition(
                         title=title,

From 56a5ebac17615ec55bea7f4411bf12b622b8c7f1 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Sat, 13 Dec 2025 00:44:24 +0545
Subject: [PATCH 02/11] fix: get started button is not functional

---
 app/api/endpoints/manifest.py |   2 +-
 app/static/index.html         |  86 ++++++++++++++++------------
 app/static/script.js          | 103 ++++++++++++++++++++--------------
 3 files changed, 114 insertions(+), 77 deletions(-)

diff --git a/app/api/endpoints/manifest.py b/app/api/endpoints/manifest.py
index 6443787..9c89489 100644
--- a/app/api/endpoints/manifest.py
+++ b/app/api/endpoints/manifest.py
@@ -96,7 +96,7 @@ def get_config_id(catalog) -> str | None:
 
 
 async def _manifest_handler(response: Response, token: str):
-    response.headers["Cache-Control"] = "public, max-age=86400"
+    response.headers["Cache-Control"] = "no-cache"
 
     if not token:
         raise HTTPException(status_code=401, detail="Missing token. Please reconfigure the addon.")
diff --git a/app/static/index.html b/app/static/index.html
index 96b9773..bb7f844 100644
--- a/app/static/index.html
+++ b/app/static/index.html
@@ -74,7 +74,8 @@
 
         /* Announcement link styling to ensure visibility */
         #announcement-content a {
-            color: #60a5fa; /* blue-400 */
+            color: #60a5fa;
+            /* blue-400 */
             text-decoration: underline;
         }
 
@@ -89,13 +90,20 @@
 
     <!-- Mobile Header -->
     <div class="md:hidden p-4 bg-slate-900 border-b border-slate-800 flex items-center gap-3">
+        <button id="mobileNavToggle" aria-label="Open navigation" class="p-2 rounded-md hover:bg-slate-800/50">
+            <svg class="w-6 h-6 text-slate-200" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 6h16M4 12h16M4 18h16"></path>
+            </svg>
+        </button>
         <img src="/app/static/logo.png" alt="Watchly" class="w-8 h-8 rounded-lg">
         <h1 class="font-bold text-lg text-white">Watchly</h1>
 
     </div>
+    <!-- Mobile Nav Backdrop -->
+    <div id="mobileNavBackdrop" class="fixed inset-0 bg-black/50 z-30 hidden md:hidden"></div>
     <!-- Sidebar Navigation -->
-    <aside
-        class="w-full md:w-72 bg-slate-900/50 backdrop-blur-xl border-b md:border-b-0 md:border-r border-slate-800 flex flex-col flex-shrink-0 relative z-20">
+    <aside id="mainSidebar"
+        class="fixed inset-y-0 left-0 z-40 w-72 transform -translate-x-full transition-transform duration-300 ease-out bg-slate-900/50 backdrop-blur-xl border-b md:border-b-0 md:border-r border-slate-800 flex flex-col flex-shrink-0 md:relative md:translate-x-0 md:flex">
         <div class="p-6 md:p-8 flex-col items-start gap-4 hidden md:flex">
             <div class="flex items-center gap-3">
                 <img src="/app/static/logo.png" alt="Watchly" class="w-10 h-10 rounded-xl shadow-lg shadow-blue-500/10">
@@ -106,7 +114,7 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
 
 
         <nav
-            class="flex-grow px-4 md:px-6 py-4 space-y-1 overflow-x-auto md:overflow-visible flex md:block whitespace-nowrap md:whitespace-normal gap-2 md:gap-0">
+            class="flex-grow px-4 md:px-6 py-4 space-y-1 md:overflow-visible flex flex-col md:block whitespace-normal gap-2">
 
             <!-- User Profile Section (Hidden by default, shown after login) -->
             <div id="user-profile" class="hidden mb-6 p-4 bg-slate-800/50 border border-slate-700/50 rounded-xl w-full">
@@ -194,13 +202,16 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
         <div class="p-4 md:p-6 mt-auto space-y-4">
             <!-- Ko-fi Support Button -->
             <button type="button" id="kofiBtn"
-                class="block w-full bg-gradient-to-r from-pink-600 to-rose-600 hover:from-pink-500 hover:to-rose-500 text-white font-medium py-3 px-4 rounded-xl transition-all shadow-lg shadow-pink-900/20 hover:shadow-xl hover:shadow-pink-900/30 group text-left">
-                <div class="flex items-center justify-center gap-2">
-                    <svg class="w-5 h-5 group-hover:scale-110 transition-transform" viewBox="0 0 24 24" fill="currentColor">
-                        <path
-                            d="M23.881 8.948c-.773-4.085-4.859-4.593-4.859-4.593H.723c-.604 0-.679.798-.679.798s-.082 7.324-.022 11.822c.164 2.424 2.586 2.672 2.586 2.672s8.267-.023 11.966-.049c2.438-.426 2.683-2.566 2.658-3.734 4.352.24 7.422-2.831 6.649-6.916zm-11.062 3.511c-1.246 1.453-4.011 3.976-4.011 3.976s-.121.119-.31.023c-.076-.057-.108-.09-.108-.09-.443-.441-3.368-3.049-4.034-3.954-.709-.965-1.041-2.7-.091-3.71.951-1.01 3.005-1.086 4.363.407 0 0 1.565-1.782 3.468-.963 1.904.82 1.832 3.011.723 4.311zm6.173.478c-.928.116-1.682.028-1.682.028V7.284h1.77s1.971.551 1.971 2.638c0 1.913-.985 2.667-2.059 3.015z" />
+                class="block w-full bg-gradient-to-r from-amber-700 to-amber-900 hover:from-amber-600 hover:to-amber-800 text-white font-medium py-3 px-4 rounded-xl transition-all shadow-lg shadow-amber-900/40 hover:shadow-xl group text-left"
+                aria-label="Buy me Coffee">
+                <div class="flex items-center justify-center gap-3">
+                    <!-- Coffee cup icon -->
+                    <svg class="w-5 h-5 group-hover:scale-110 transition-transform" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+                        <path d="M3 7h14v3a5 5 0 01-5 5H8a5 5 0 01-5-5V7z" fill="#fff" opacity="0.9"/>
+                        <path d="M19 8.5a3 3 0 010 6" stroke="#fff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
+                        <path d="M6 4v1M9 4v1M12 4v1" stroke="#fff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
                     </svg>
-                    <span>Support on Ko-fi</span>
+                    <span>Buy me Coffee</span>
                 </div>
             </button>
 
@@ -240,20 +251,21 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
                             Personalized Recommendation Engine for Stremio
                         </p>
                         <p class="text-sm text-slate-400 max-w-2xl mx-auto">
-                            Discover movies and series tailored to your unique taste, powered by your Stremio library and watch history.
+                            Discover movies and series tailored to your unique taste, powered by your Stremio library
+                            and watch history.
                         </p>
-<!-- Announcement (fetched from API) -->
-<div id="announcement"
-    class="hidden max-w-2xl mx-auto mt-6 p-3 rounded-xl bg-slate-800/50 border border-slate-700/50 text-sm text-slate-200 flex items-start gap-3"
-    role="region" aria-live="polite">
-    <div class="flex-shrink-0 text-blue-400 mt-0.5">
-        <svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
-            <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
-                d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
-        </svg>
-    </div>
-    <div id="announcement-content" class="flex-grow text-slate-200"></div>
-</div>
+                        <!-- Announcement (fetched from API) -->
+                        <div id="announcement"
+                            class="hidden max-w-2xl mx-auto mt-6 p-3 rounded-xl bg-slate-800/50 border border-slate-700/50 text-sm text-slate-200 flex items-start gap-3"
+                            role="region" aria-live="polite">
+                            <div class="flex-shrink-0 text-blue-400 mt-0.5">
+                                <svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+                                    <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
+                                        d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
+                                </svg>
+                            </div>
+                            <div id="announcement-content" class="flex-grow text-slate-200"></div>
+                        </div>
                     </div>
 
                     <!-- Features Grid -->
@@ -272,7 +284,7 @@ <h3 class="text-base font-bold text-white mb-1">Smart Recommendations</h3>
                             <p class="text-xs text-slate-400 leading-relaxed">
                                 AI-powered suggestions based on your watch history
                             </p>
-                            </div>
+                        </div>
 
                         <!-- Feature 2 -->
                         <div
@@ -305,7 +317,7 @@ <h3 class="text-base font-bold text-white mb-1">Genre Filtering</h3>
                             <p class="text-xs text-slate-400 leading-relaxed">
                                 Exclude genres you don't like
                             </p>
-                            </div>
+                        </div>
                         <!-- Feature 4 -->
                         <div
                             class="group bg-gradient-to-br from-slate-900/50 to-slate-800/30 border border-slate-700/50 hover:border-green-500/50 rounded-xl p-4 transition-all hover:shadow-lg hover:shadow-green-900/10">
@@ -321,7 +333,7 @@ <h3 class="text-base font-bold text-white mb-1">Multi-Language</h3>
                             <p class="text-xs text-slate-400 leading-relaxed">
                                 Recommendations in your preferred language
                             </p>
-                            </div>
+                        </div>
 
                         <!-- Feature 5 -->
                         <div
@@ -338,7 +350,7 @@ <h3 class="text-base font-bold text-white mb-1">RPDB Integration</h3>
                             <p class="text-xs text-slate-400 leading-relaxed">
                                 Enhanced posters with ratings
                             </p>
-                            </div>
+                        </div>
 
                         <!-- Feature 6 -->
                         <div
@@ -355,8 +367,8 @@ <h3 class="text-base font-bold text-white mb-1">Based on Your Loves</h3>
                             <p class="text-xs text-slate-400 leading-relaxed">
                                 Recommendations from content you loved
                             </p>
-                            </div>
-                            </div>
+                        </div>
+                        </div>
                     <!-- CTA Section -->
                     <div class="text-center space-y-6">
                         <div class="max-w-2xl mx-auto">
@@ -383,11 +395,12 @@ <h3 class="text-base font-bold text-white mb-1">Based on Your Loves</h3>
                                 <span class="font-medium">View Source Code</span>
                                 <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                     <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
-                                        d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14"></path>
+                                        d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14">
+                                    </path>
                                 </svg>
                             </a>
                         </div>
-                        </div>
+                    </div>
                 </section>
 
                 <!-- SECTION 1: LOGIN -->
@@ -540,7 +553,8 @@ <h2 class="text-3xl font-bold text-white mb-2">Save & Install</h2>
                                 </div>
                                 <div class="flex-grow">
                                     <h3 class="text-sm font-semibold text-red-400 mb-1">Danger Zone</h3>
-                                    <p class="text-xs text-slate-400 mb-4">Permanently delete your settings and account data. This action
+                                    <p class="text-xs text-slate-400 mb-4">Permanently delete your settings and account
+                                        data. This action
                                         cannot be undone.</p>
                                     <button type="button" id="deleteAccountBtn"
                                         class="w-full bg-red-500/10 hover:bg-red-500/20 border border-red-500/30 hover:border-red-500/50 text-red-400 hover:text-red-300 font-medium py-3 px-4 rounded-lg transition-all flex items-center justify-center gap-2 group">
@@ -550,10 +564,10 @@ <h3 class="text-sm font-semibold text-red-400 mb-1">Danger Zone</h3>
                                             </path>
                                         </svg>
                                         <span>Delete Account</span>
-                                        </button>
-                                </div>
-                                </div>
+                                    </button>
                                 </div>
+                            </div>
+                            </div>
                     </div>
 
                     <!-- Error Message -->
@@ -609,6 +623,8 @@ <h3 class="text-3xl font-bold text-white mb-2">You're all set!</h3>
         </div>
     </main>
 
+    <!-- BuyMeMoMo modal removed — button now redirects directly -->
+
     <!-- Ko-fi Modal -->
     <div id="kofi-modal" class="fixed inset-0 z-50 hidden">
         <!-- Backdrop -->
diff --git a/app/static/script.js b/app/static/script.js
index c4066c9..e92231b 100644
--- a/app/static/script.js
+++ b/app/static/script.js
@@ -60,8 +60,11 @@ document.addEventListener('DOMContentLoaded', () => {
     initializeWelcomeFlow();
 
     initializeNavigation();
+    // By default, ensure logged-out users see only Welcome/Login and not configure/install/catalogs
+    lockNavigationForLoggedOut();
     initializeCatalogList();
     initializeLanguageSelect();
+    initializeMobileNav();
     initializeGenreLists();
     initializeFormSubmission();
     initializeSuccessActions();
@@ -83,12 +86,19 @@ document.addEventListener('DOMContentLoaded', () => {
 // Welcome Flow Logic
 function initializeWelcomeFlow() {
     // Single "Get Started" button leads to Stremio login
-    if (btnGetStarted) {
-        btnGetStarted.addEventListener('click', () => {
-            navItems.login.classList.remove('disabled');
-            switchSection('login');
-        });
-    }
+    if (!btnGetStarted) return;
+
+    // Support mobile taps reliably while avoiding double-fire (touch -> click)
+    let touched = false;
+    const handleGetStarted = (e) => {
+        if (e.type === 'click' && touched) return;
+        if (e.type === 'touchstart') touched = true;
+        navItems.login.classList.remove('disabled');
+        switchSection('login');
+    };
+
+    btnGetStarted.addEventListener('click', handleGetStarted);
+    btnGetStarted.addEventListener('touchstart', handleGetStarted, { passive: true });
 }
 
 
@@ -107,6 +117,46 @@ function unlockNavigation() {
     Object.values(navItems).forEach(el => el.classList.remove('disabled'));
 }
 
+function lockNavigationForLoggedOut() {
+    // Ensure welcome and login remain accessible; disable only config/catalogs/install
+    if (navItems.welcome) navItems.welcome.classList.remove('disabled');
+    if (navItems.login) navItems.login.classList.remove('disabled');
+    if (navItems.config) navItems.config.classList.add('disabled');
+    if (navItems.catalogs) navItems.catalogs.classList.add('disabled');
+    if (navItems.install) navItems.install.classList.add('disabled');
+}
+
+function initializeMobileNav() {
+    const mobileToggle = document.getElementById('mobileNavToggle');
+    const sidebar = document.getElementById('mainSidebar');
+    const backdrop = document.getElementById('mobileNavBackdrop');
+    if (!mobileToggle || !sidebar || !backdrop) return;
+
+    const openNav = () => {
+        sidebar.classList.remove('-translate-x-full');
+        sidebar.classList.add('translate-x-0');
+        backdrop.classList.remove('hidden');
+        document.body.classList.add('overflow-hidden');
+    };
+    const closeNav = () => {
+        sidebar.classList.remove('translate-x-0');
+        sidebar.classList.add('-translate-x-full');
+        backdrop.classList.add('hidden');
+        document.body.classList.remove('overflow-hidden');
+    };
+
+    mobileToggle.addEventListener('click', (e) => { e.preventDefault(); openNav(); });
+    backdrop.addEventListener('click', closeNav);
+
+    // Auto-close when a nav item is selected (mobile)
+    Object.values(navItems).forEach(n => {
+        if (!n) return;
+        n.addEventListener('click', () => {
+            if (!sidebar.classList.contains('hidden')) closeNav();
+        });
+    });
+}
+
 function switchSection(sectionKey) {
     // Hide all sections
     Object.values(sections).forEach(el => {
@@ -137,8 +187,9 @@ function resetApp() {
     switchSection('welcome');
 
     // Lock Navs
+    // Keep the Welcome nav enabled so the main Get Started entry remains usable.
     Object.keys(navItems).forEach(key => {
-        if (key !== 'login') navItems[key].classList.add('disabled'); // Login is always enabled technically, but we hide it via switchSection('welcome')
+        if (key !== 'login' && key !== 'welcome') navItems[key].classList.add('disabled');
     });
     // Actually, we should probably disable 'login' too until they choose New/Existing User?
     // But our nav click logic handles that. If we are at 'welcome', the sidebar is visible but inactive.
@@ -872,43 +923,13 @@ function initializeFooter() {
 // Ko-fi Modal Logic
 function initializeKofi() {
     const kofiBtn = document.getElementById('kofiBtn');
-    const modal = document.getElementById('kofi-modal');
-    const closeBtn = document.getElementById('close-kofi');
-    const backdrop = document.getElementById('kofi-backdrop');
-    const iframe = document.getElementById('kofiframe');
-
-    // URL for the Ko-fi embed widget
-    const KOFI_URL = "https://ko-fi.com/timilsinabimal/?hidefeed=true&widget=true&embed=true&preview=true";
-
-    function openModal() {
-        if (!modal) return;
-        modal.classList.remove('hidden');
-        // Lazy load the iframe source if not set correctly
-        if (iframe && (!iframe.src || !iframe.src.includes('ko-fi.com'))) {
-            iframe.src = KOFI_URL;
-        }
-    }
-
-    function closeModal() {
-        if (!modal) return;
-        modal.classList.add('hidden');
-        // We don't clear src to keep it loaded for next time, but you could if needed
-    }
+    const MEMOMO_URL = 'https://buymemomo.com/timilsinabimal';
 
     if (kofiBtn) kofiBtn.addEventListener('click', (e) => {
         e.preventDefault();
-        openModal();
-    });
-
-    if (closeBtn) closeBtn.addEventListener('click', closeModal);
-
-    if (backdrop) backdrop.addEventListener('click', closeModal);
-
-    // Close on Escape key
-    document.addEventListener('keydown', (e) => {
-        if (e.key === 'Escape' && modal && !modal.classList.contains('hidden')) {
-            closeModal();
-        }
+        // Open BuyMeMoMo in a new tab and remove window.opener for safety
+        const win = window.open(MEMOMO_URL, '_blank');
+        try { if (win) win.opener = null; } catch (err) { /* ignore */ }
     });
 }
 

From deacd4588db991da996b11232124aadccb022882 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Sat, 13 Dec 2025 00:44:49 +0545
Subject: [PATCH 03/11] fix: get started button is not functional

---
 .github/FUNDING.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
index d881463..0404d9f 100644
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -1,3 +1,2 @@
 custom: ["https://buymemomo.com/timilsinabimal"]
 ko_fi: TimilsinaBimal
-github: ["TimilsinaBimal"]

From f29ac4ee02f7314984a4a93653c481eaca7f2e04 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <45899783+TimilsinaBimal@users.noreply.github.com>
Date: Sat, 13 Dec 2025 01:14:52 +0545
Subject: [PATCH 04/11] chore: bump version to 1.0.1 (#38)

---
 app/core/version.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/app/core/version.py b/app/core/version.py
index 5becc17..5c4105c 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.0.0"
+__version__ = "1.0.1"

From 213531a29f7e82596e411368629441548b615e1e Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <45899783+TimilsinaBimal@users.noreply.github.com>
Date: Sun, 14 Dec 2025 00:54:39 +0545
Subject: [PATCH 05/11] feat: Add recency preference and genre diversification
 to recommendation logic (#44)

* feat: Enhance TMDBService with trending and top-rated content retrieval

* feat: Add recency preference and genre diversification to recommendation logic

* feat: Refactor TMDBService usage to support language preference across services

* feat: Refactor library item fetching and caching for improved performance and consistency

* feat: Implement caching for language retrieval and refactor auth key encryption

* feat: Add middleware for Redis call tracking and enhance token store with call counting

* chore: bump version to v1.1.0
---
 app/api/endpoints/catalogs.py          |   14 +-
 app/api/endpoints/manifest.py          |    4 +-
 app/api/endpoints/meta.py              |   15 +-
 app/core/app.py                        |   20 +-
 app/core/settings.py                   |    6 +-
 app/core/version.py                    |    2 +-
 app/models/profile.py                  |   18 +-
 app/services/catalog.py                |    8 +-
 app/services/catalog_updater.py        |   10 +-
 app/services/discovery.py              |  149 ++--
 app/services/recommendation_service.py | 1036 ++++++++++++++++++++----
 app/services/row_generator.py          |    4 +-
 app/services/stremio_service.py        |   19 +-
 app/services/tmdb_service.py           |   29 +-
 app/services/token_store.py            |   96 ++-
 app/services/user_profile.py           |  336 ++++++--
 app/startup/migration.py               |   24 +-
 17 files changed, 1409 insertions(+), 381 deletions(-)

diff --git a/app/api/endpoints/catalogs.py b/app/api/endpoints/catalogs.py
index 34761d4..15f262a 100644
--- a/app/api/endpoints/catalogs.py
+++ b/app/api/endpoints/catalogs.py
@@ -11,7 +11,7 @@
 from app.services.token_store import token_store
 
 MAX_RESULTS = 50
-SOURCE_ITEMS_LIMIT = 15
+SOURCE_ITEMS_LIMIT = 10
 
 router = APIRouter()
 
@@ -54,8 +54,14 @@ async def get_catalog(type: str, id: str, response: Response, token: str):
 
         # Create services with credentials
         stremio_service = StremioService(auth_key=credentials.get("authKey"))
+        # Fetch library once per request and reuse across recommendation paths
+        library_items = await stremio_service.get_library_items()
         recommendation_service = RecommendationService(
-            stremio_service=stremio_service, language=language, user_settings=user_settings
+            stremio_service=stremio_service,
+            language=language,
+            user_settings=user_settings,
+            token=token,
+            library_data=library_items,
         )
 
         # Handle item-based recommendations
@@ -83,7 +89,9 @@ async def get_catalog(type: str, id: str, response: Response, token: str):
 
         logger.info(f"Returning {len(recommendations)} items for {type}")
         # Cache catalog responses for 4 hours
-        response.headers["Cache-Control"] = "public, max-age=14400" if len(recommendations) > 0 else "no-cache"
+        response.headers["Cache-Control"] = (
+            "public, max-age=14400" if len(recommendations) > 0 else "public, max-age=7200"
+        )
         return {"metas": recommendations}
 
     except HTTPException:
diff --git a/app/api/endpoints/manifest.py b/app/api/endpoints/manifest.py
index 9c89489..bf1c7bf 100644
--- a/app/api/endpoints/manifest.py
+++ b/app/api/endpoints/manifest.py
@@ -71,7 +71,7 @@ async def fetch_catalogs(token: str):
 
     # Note: get_library_items is expensive, but we need it to determine *which* genre catalogs to show.
     library_items = await stremio_service.get_library_items()
-    dynamic_catalog_service = DynamicCatalogService(stremio_service=stremio_service)
+    dynamic_catalog_service = DynamicCatalogService(stremio_service=stremio_service, language=user_settings.language)
 
     # Base catalogs are already in manifest, these are *extra* dynamic ones
     # Pass user_settings to filter/rename
@@ -96,7 +96,7 @@ def get_config_id(catalog) -> str | None:
 
 
 async def _manifest_handler(response: Response, token: str):
-    response.headers["Cache-Control"] = "no-cache"
+    response.headers["Cache-Control"] = "public, max-age=7200"
 
     if not token:
         raise HTTPException(status_code=401, detail="Missing token. Please reconfigure the addon.")
diff --git a/app/api/endpoints/meta.py b/app/api/endpoints/meta.py
index 3387638..ea5579e 100644
--- a/app/api/endpoints/meta.py
+++ b/app/api/endpoints/meta.py
@@ -1,19 +1,25 @@
+from async_lru import alru_cache
 from fastapi import APIRouter, HTTPException
 from loguru import logger
 
-from app.services.tmdb_service import TMDBService
+from app.services.tmdb_service import get_tmdb_service
 
 router = APIRouter()
 
 
+@alru_cache(maxsize=1, ttl=24 * 60 * 60)
+async def _cached_languages():
+    tmdb = get_tmdb_service()
+    return await tmdb._make_request("/configuration/languages")
+
+
 @router.get("/api/languages")
 async def get_languages():
     """
     Proxy endpoint to fetch languages from TMDB.
     """
-    tmdb_service = TMDBService()
     try:
-        languages = await tmdb_service._make_request("/configuration/languages")
+        languages = await _cached_languages()
         if not languages:
             return []
         return languages
@@ -21,4 +27,5 @@ async def get_languages():
         logger.error(f"Failed to fetch languages: {e}")
         raise HTTPException(status_code=502, detail="Failed to fetch languages from TMDB")
     finally:
-        await tmdb_service.close()
+        # shared client: no explicit close
+        pass
diff --git a/app/core/app.py b/app/core/app.py
index bdff5f7..7885fd3 100644
--- a/app/core/app.py
+++ b/app/core/app.py
@@ -3,7 +3,7 @@
 from contextlib import asynccontextmanager
 from pathlib import Path
 
-from fastapi import FastAPI
+from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import HTMLResponse
 from fastapi.staticfiles import StaticFiles
@@ -11,6 +11,7 @@
 
 from app.api.main import api_router
 from app.services.catalog_updater import BackgroundCatalogUpdater
+from app.services.token_store import token_store
 from app.startup.migration import migrate_tokens
 
 from .config import settings
@@ -82,6 +83,23 @@ def _on_done(t: asyncio.Task):
     allow_headers=["*"],
 )
 
+
+# Middleware to track per-request Redis calls and attach as response header for diagnostics
+@app.middleware("http")
+async def redis_calls_middleware(request: Request, call_next):
+    try:
+        token_store.reset_call_counter()
+    except Exception:
+        pass
+    response = await call_next(request)
+    try:
+        count = token_store.get_call_count()
+        response.headers["X-Redis-Calls"] = str(count)
+    except Exception:
+        pass
+    return response
+
+
 # Serve static files
 # Static directory is at project root (3 levels up from app/core/app.py)
 # app/core/app.py -> app/core -> app -> root
diff --git a/app/core/settings.py b/app/core/settings.py
index 6a8807e..b246215 100644
--- a/app/core/settings.py
+++ b/app/core/settings.py
@@ -1,4 +1,4 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 
 
 class CatalogConfig(BaseModel):
@@ -11,8 +11,8 @@ class UserSettings(BaseModel):
     catalogs: list[CatalogConfig]
     language: str = "en-US"
     rpdb_key: str | None = None
-    excluded_movie_genres: list[str] = []
-    excluded_series_genres: list[str] = []
+    excluded_movie_genres: list[str] = Field(default_factory=list)
+    excluded_series_genres: list[str] = Field(default_factory=list)
 
 
 def get_default_settings() -> UserSettings:
diff --git a/app/core/version.py b/app/core/version.py
index 5c4105c..6849410 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.0.1"
+__version__ = "1.1.0"
diff --git a/app/models/profile.py b/app/models/profile.py
index a96f6cb..11d5d33 100644
--- a/app/models/profile.py
+++ b/app/models/profile.py
@@ -2,21 +2,6 @@
 
 
 class SparseVector(BaseModel):
-    """
-    Represents a sparse vector where keys are feature IDs and values are weights.
-    For countries, keys can be string codes (hashed or mapped to int if strictly int keys needed,
-    but let's check if we can use str keys or if we stick to int.
-    Original SparseVector uses `dict[int, float]`.
-    TMDB country codes are strings (e.g. "US").
-    We can either map them to ints or change the model to support str keys.
-    Let's update the model to support string keys for versatility, or keep int and hash strings.
-    However, for Pydantic and JSON, string keys are native.
-    Let's change keys to string/int union or just strings (since ints are valid dict keys too).
-    Actually, since `genres` IDs are ints, let's allow both or specific types.
-    For simplicity, let's stick to `dict[str, float]` since JSON keys are strings anyway.
-    But wait, existing code uses ints for IDs.
-    Let's make a separate StringSparseVector or just genericize it.
-    """
 
     values: dict[int, float] = Field(default_factory=dict)
 
@@ -67,6 +52,8 @@ class UserTasteProfile(BaseModel):
     crew: SparseVector = Field(default_factory=SparseVector)
     years: SparseVector = Field(default_factory=SparseVector)
     countries: StringSparseVector = Field(default_factory=StringSparseVector)
+    # Free-text/topic tokens from titles/overviews/keyword names
+    topics: StringSparseVector = Field(default_factory=StringSparseVector)
 
     def normalize_all(self):
         """Normalize all component vectors."""
@@ -76,6 +63,7 @@ def normalize_all(self):
         self.crew.normalize()
         self.years.normalize()
         self.countries.normalize()
+        self.topics.normalize()
 
     def get_top_genres(self, limit: int = 3) -> list[tuple[int, float]]:
         return self.genres.get_top_features(limit)
diff --git a/app/services/catalog.py b/app/services/catalog.py
index 17dbc8e..7525f5c 100644
--- a/app/services/catalog.py
+++ b/app/services/catalog.py
@@ -4,7 +4,7 @@
 from app.services.row_generator import RowGeneratorService
 from app.services.scoring import ScoringService
 from app.services.stremio_service import StremioService
-from app.services.tmdb_service import TMDBService
+from app.services.tmdb_service import get_tmdb_service
 from app.services.user_profile import UserProfileService
 
 
@@ -13,11 +13,11 @@ class DynamicCatalogService:
     Generates dynamic catalog rows based on user library and preferences.
     """
 
-    def __init__(self, stremio_service: StremioService):
+    def __init__(self, stremio_service: StremioService, language: str = "en-US"):
         self.stremio_service = stremio_service
-        self.tmdb_service = TMDBService()
+        self.tmdb_service = get_tmdb_service(language=language)
         self.scoring_service = ScoringService()
-        self.user_profile_service = UserProfileService()
+        self.user_profile_service = UserProfileService(language=language)
         self.row_generator = RowGeneratorService(tmdb_service=self.tmdb_service)
 
     @staticmethod
diff --git a/app/services/catalog_updater.py b/app/services/catalog_updater.py
index 53a5db3..0a1af73 100644
--- a/app/services/catalog_updater.py
+++ b/app/services/catalog_updater.py
@@ -38,9 +38,6 @@ async def refresh_catalogs_for_credentials(token: str, credentials: dict[str, An
         logger.exception(f"[{redact_token(token)}] Failed to check if addon is installed: {e}")
 
     try:
-        library_items = await stremio_service.get_library_items()
-        dynamic_catalog_service = DynamicCatalogService(stremio_service=stremio_service)
-
         # Ensure user_settings is available
         user_settings = get_default_settings()
         if credentials.get("settings"):
@@ -49,7 +46,12 @@ async def refresh_catalogs_for_credentials(token: str, credentials: dict[str, An
             except Exception as e:
                 user_settings = get_default_settings()
                 logger.warning(f"[{redact_token(token)}] Failed to parse user settings from credentials: {e}")
-
+        # force fresh library for background refresh
+        library_items = await stremio_service.get_library_items(use_cache=False)
+        dynamic_catalog_service = DynamicCatalogService(
+            stremio_service=stremio_service,
+            language=(user_settings.language if user_settings else "en-US"),
+        )
         catalogs = await dynamic_catalog_service.get_dynamic_catalogs(
             library_items=library_items, user_settings=user_settings
         )
diff --git a/app/services/discovery.py b/app/services/discovery.py
index b52d485..6f0d09c 100644
--- a/app/services/discovery.py
+++ b/app/services/discovery.py
@@ -1,7 +1,7 @@
 import asyncio
 
 from app.models.profile import UserTasteProfile
-from app.services.tmdb_service import TMDBService
+from app.services.tmdb_service import get_tmdb_service
 
 
 class DiscoveryEngine:
@@ -10,8 +10,8 @@ class DiscoveryEngine:
     Uses TMDB Discovery API with weighted query parameters derived from the user profile.
     """
 
-    def __init__(self):
-        self.tmdb_service = TMDBService()
+    def __init__(self, language: str = "en-US"):
+        self.tmdb_service = get_tmdb_service(language=language)
         # Limit concurrent discovery calls to avoid rate limiting
         self._sem = asyncio.Semaphore(10)
 
@@ -21,6 +21,13 @@ async def discover_recommendations(
         content_type: str,
         limit: int = 20,
         excluded_genres: list[int] | None = None,
+        *,
+        use_genres: bool = False,
+        use_keywords: bool = True,
+        use_cast: bool = True,
+        use_director: bool = True,
+        use_countries: bool = False,
+        use_year: bool = False,
     ) -> list[dict]:
         """
         Find content that matches the user's taste profile.
@@ -31,15 +38,15 @@ async def discover_recommendations(
         4. Return the combined candidate set (B).
         """
         # 1. Extract Top Features
-        top_genres = profile.get_top_genres(limit=3)  # e.g. [(28, 1.0), (878, 0.8)]
-        top_keywords = profile.get_top_keywords(limit=3)  # e.g. [(123, 0.9)]
+        top_genres = profile.get_top_genres(limit=3) if use_genres else []  # e.g. [(28, 1.0), (878, 0.8)]
+        top_keywords = profile.get_top_keywords(limit=3) if use_keywords else []  # e.g. [(123, 0.9)]
         # Need to add get_top_cast to UserTasteProfile model first, assuming it exists or using profile.cast directly
         # Based on previous step, profile.cast exists.
-        top_cast = profile.cast.get_top_features(limit=2)
-        top_crew = profile.get_top_crew(limit=1)  # e.g. [(555, 1.0)] - Director
+        top_cast = profile.cast.get_top_features(limit=2) if use_cast else []
+        top_crew = profile.get_top_crew(limit=1) if use_director else []  # e.g. [(555, 1.0)] - Director
 
-        top_countries = profile.get_top_countries(limit=2)
-        top_year = profile.get_top_year(limit=1)
+        top_countries = profile.get_top_countries(limit=2) if use_countries else []
+        top_year = profile.get_top_year(limit=1) if use_year else []
 
         if not top_genres and not top_keywords and not top_cast:
             # Fallback if profile is empty
@@ -50,7 +57,7 @@ async def discover_recommendations(
         if excluded_genres:
             base_params["without_genres"] = "|".join([str(g) for g in excluded_genres])
 
-        # Query 1: Top Genres Mix
+        # Phase 1: build first-page tasks only
         if top_genres:
             genre_ids = "|".join([str(g[0]) for g in top_genres])
             params_popular = {
@@ -60,17 +67,13 @@ async def discover_recommendations(
                 **base_params,
             }
             tasks.append(self._fetch_discovery(content_type, params_popular))
-
-            # fetch atleast two pages of results
-            for i in range(2):
-                params_rating = {
-                    "with_genres": genre_ids,
-                    "sort_by": "vote_average.desc",
-                    "vote_count.gte": 500,
-                    "page": i + 1,
-                    **base_params,
-                }
-                tasks.append(self._fetch_discovery(content_type, params_rating))
+            params_rating = {
+                "with_genres": genre_ids,
+                "sort_by": "vote_average.desc",
+                "vote_count.gte": 500,
+                **base_params,
+            }
+            tasks.append(self._fetch_discovery(content_type, params_rating))
 
         # Query 2: Top Keywords
         if top_keywords:
@@ -83,16 +86,15 @@ async def discover_recommendations(
             }
             tasks.append(self._fetch_discovery(content_type, params_keywords))
 
-            # fetch atleast two pages of results
-            for i in range(3):
-                params_rating = {
+            for page in range(1, 3):
+                params_rating_kw = {
                     "with_keywords": keyword_ids,
                     "sort_by": "vote_average.desc",
                     "vote_count.gte": 500,
-                    "page": i + 1,
+                    "page": page,
                     **base_params,
                 }
-                tasks.append(self._fetch_discovery(content_type, params_rating))
+                tasks.append(self._fetch_discovery(content_type, params_rating_kw))
 
         # Query 3: Top Actors
         for actor in top_cast:
@@ -104,14 +106,13 @@ async def discover_recommendations(
                 **base_params,
             }
             tasks.append(self._fetch_discovery(content_type, params_actor))
-
-            params_rating = {
-                "with_cast": str(actor_id),
-                "sort_by": "vote_average.desc",
-                "vote_count.gte": 500,
-                **base_params,
-            }
-            tasks.append(self._fetch_discovery(content_type, params_rating))
+            # params_rating = {
+            #     "with_cast": str(actor_id),
+            #     "sort_by": "vote_average.desc",
+            #     "vote_count.gte": 500,
+            #     **base_params,
+            # }
+            # tasks.append(self._fetch_discovery(content_type, params_rating))
 
         # Query 4: Top Director
         if top_crew:
@@ -124,14 +125,6 @@ async def discover_recommendations(
             }
             tasks.append(self._fetch_discovery(content_type, params_director))
 
-            params_rating = {
-                "with_crew": str(director_id),
-                "sort_by": "vote_average.desc",
-                "vote_count.gte": 500,
-                **base_params,
-            }
-            tasks.append(self._fetch_discovery(content_type, params_rating))
-
         # Query 5: Top Countries
         if top_countries:
             country_ids = "|".join([str(c[0]) for c in top_countries])
@@ -142,14 +135,13 @@ async def discover_recommendations(
                 **base_params,
             }
             tasks.append(self._fetch_discovery(content_type, params_country))
-
-            params_rating = {
-                "with_origin_country": country_ids,
-                "sort_by": "vote_average.desc",
-                "vote_count.gte": 300,
-                **base_params,
-            }
-            tasks.append(self._fetch_discovery(content_type, params_rating))
+            # params_rating = {
+            #     "with_origin_country": country_ids,
+            #     "sort_by": "vote_average.desc",
+            #     "vote_count.gte": 300,
+            #     **base_params,
+            # }
+            # tasks.append(self._fetch_discovery(content_type, params_rating))
 
         # query 6: Top year
         if top_year:
@@ -166,7 +158,7 @@ async def discover_recommendations(
             }
             tasks.append(self._fetch_discovery(content_type, params_rating))
 
-        # 3. Execute Parallel Queries
+        # 3. Execute Phase 1
         results_batches = await asyncio.gather(*tasks, return_exceptions=True)
 
         # 4. Aggregate and Deduplicate
@@ -178,6 +170,61 @@ async def discover_recommendations(
                 if item["id"] not in all_candidates:
                     all_candidates[item["id"]] = item
 
+        # Conditional Phase 2: fetch page 2 if pool is thin
+        if len(all_candidates) < 120:
+            tasks2 = []
+            if top_genres:
+                genre_ids = "|".join([str(g[0]) for g in top_genres])
+                tasks2.append(
+                    self._fetch_discovery(
+                        content_type,
+                        {
+                            "with_genres": genre_ids,
+                            "sort_by": "vote_average.desc",
+                            "vote_count.gte": 400,
+                            "page": 2,
+                            **base_params,
+                        },
+                    )
+                )
+            if top_keywords:
+                keyword_ids = "|".join([str(k[0]) for k in top_keywords])
+                tasks2.append(
+                    self._fetch_discovery(
+                        content_type,
+                        {
+                            "with_keywords": keyword_ids,
+                            "sort_by": "vote_average.desc",
+                            "vote_count.gte": 400,
+                            "page": 2,
+                            **base_params,
+                        },
+                    )
+                )
+            for actor in top_cast[:1]:
+                actor_id = actor[0]
+                tasks2.append(
+                    self._fetch_discovery(
+                        content_type,
+                        {
+                            "with_cast": str(actor_id),
+                            "sort_by": "vote_average.desc",
+                            "vote_count.gte": 400,
+                            "page": 2,
+                            **base_params,
+                        },
+                    )
+                )
+
+            if tasks2:
+                results_batches2 = await asyncio.gather(*tasks2, return_exceptions=True)
+                for batch in results_batches2:
+                    if isinstance(batch, Exception) or not batch:
+                        continue
+                    for item in batch:
+                        if item["id"] not in all_candidates:
+                            all_candidates[item["id"]] = item
+
         return list(all_candidates.values())
 
     async def _fetch_discovery(self, media_type: str, params: dict) -> list[dict]:
diff --git a/app/services/recommendation_service.py b/app/services/recommendation_service.py
index a11170b..e032de6 100644
--- a/app/services/recommendation_service.py
+++ b/app/services/recommendation_service.py
@@ -1,5 +1,6 @@
 import asyncio
-import random
+import hashlib
+import math
 from urllib.parse import unquote
 
 from loguru import logger
@@ -9,17 +10,11 @@
 from app.services.rpdb import RPDBService
 from app.services.scoring import ScoringService
 from app.services.stremio_service import StremioService
-from app.services.tmdb_service import TMDBService
-from app.services.user_profile import UserProfileService
+from app.services.tmdb_service import get_tmdb_service
+from app.services.user_profile import TOP_GENRE_WHITELIST_LIMIT, UserProfileService
 
-
-def normalize(value, min_v=0, max_v=10):
-    """
-    Normalize popularity / rating when blending.
-    """
-    if max_v == min_v:
-        return 0
-    return (value - min_v) / (max_v - min_v)
+# Diversification: cap per-genre share in final results (e.g., 0.4 => max 40% per genre)
+PER_GENRE_MAX_SHARE = 0.4
 
 
 def _parse_identifier(identifier: str) -> tuple[str | None, int | None]:
@@ -59,32 +54,165 @@ def __init__(
         stremio_service: StremioService | None = None,
         language: str = "en-US",
         user_settings: UserSettings | None = None,
+        token: str | None = None,
+        library_data: dict | None = None,
     ):
         if stremio_service is None:
             raise ValueError("StremioService instance is required for personalized recommendations")
-        self.tmdb_service = TMDBService(language=language)
+        self.tmdb_service = get_tmdb_service(language=language)
         self.stremio_service = stremio_service
         self.scoring_service = ScoringService()
-        self.user_profile_service = UserProfileService()
-        self.discovery_engine = DiscoveryEngine()
+        self.user_profile_service = UserProfileService(language=language)
+        self.discovery_engine = DiscoveryEngine(language=language)
         self.per_item_limit = 20
         self.user_settings = user_settings
+        # Stable seed for tie-breaking and per-token caching
+        self.stable_seed = token or ""
+        # Optional pre-fetched library payload (reuse within the request)
+        self._library_data: dict | None = library_data
+        # cache: content_type -> set of top genre IDs
+        self._whitelist_cache: dict[str, set[int]] = {}
+
+    def _stable_epsilon(self, tmdb_id: int) -> float:
+        if not self.stable_seed:
+            return 0.0
+        h = hashlib.md5(f"{self.stable_seed}:{tmdb_id}".encode()).hexdigest()
+        # Use last 6 hex digits for tiny epsilon
+        eps = int(h[-6:], 16) % 1000
+        return eps / 1_000_000.0
+
+    @staticmethod
+    def _normalize(value: float, min_v: float = 0.0, max_v: float = 10.0) -> float:
+        if max_v == min_v:
+            return 0.0
+        return max(0.0, min(1.0, (value - min_v) / (max_v - min_v)))
+
+    @staticmethod
+    def _weighted_rating(vote_avg: float | None, vote_count: int | None, C: float = 6.8, m: int = 300) -> float:
+        """
+        IMDb-style weighted rating. Returns value on 0-10 scale.
+        C = global mean; m = minimum votes for full weight.
+        """
+        try:
+            R = float(vote_avg or 0.0)
+            v = int(vote_count or 0)
+        except Exception:
+            R, v = 0.0, 0
+        return ((v / (v + m)) * R) + ((m / (v + m)) * C)
+
+    # ---------------- Recency preference (AUTO, sigmoid intensity) ----------------
+    def _get_recency_multiplier_fn(self, profile, candidate_decades: set[int] | None = None):
+        """
+        Build a multiplier function m(year) using a sigmoid-scaled intensity of the user's
+        recent vs classic preference derived from profile.years.
+        - Compute score in [-1,1] from recent (>=2015) vs classic (<2000) weights
+        - intensity = 2*(sigmoid(k*score)-0.5) in [-1,1]
+        - Apply per-year-bin deltas scaled by intensity, clamped to [0.85, 1.15]
+        """
+        try:
+            years_map = getattr(profile.years, "values", {}) or {}
+            # Build user decade weights (keys are decades like 1990, 2000, ...)
+            decade_weights = {int(k): float(v) for k, v in years_map.items() if isinstance(k, int)}
+            total_w = sum(decade_weights.values())
+        except Exception:
+            decade_weights = {}
+            total_w = 0.0
+
+        # Recent vs classic signal for intensity
+        recent_w = sum(w for d, w in decade_weights.items() if d >= 2010)
+        classic_w = sum(w for d, w in decade_weights.items() if d < 2000)
+        total_rc = recent_w + classic_w
+        if total_rc <= 0:
+            # No signal → neutral function with zero intensity
+            return (lambda _y: 1.0), 0.0
+
+        score = (recent_w - classic_w) / (total_rc + 1e-6)
+        k = 2.0
+        intensity_raw = 1.0 / (1.0 + math.exp(-k * score))
+        intensity = 2.0 * (intensity_raw - 0.5)  # [-1, 1]
+        alpha = abs(intensity)
+
+        # Build p_user over the support set of decades (union of profile and candidate decades)
+        if candidate_decades:
+            support = {int(d) for d in candidate_decades if isinstance(d, int)} | set(decade_weights.keys())
+        else:
+            support = set(decade_weights.keys())
+        if not support:
+            return (lambda _y: 1.0), 0.0
+
+        # Normalize user distribution over support (zero for unseen decades)
+        # If total_w is zero, return neutral
+        if total_w > 0:
+            p_user = {d: (decade_weights.get(d, 0.0) / total_w) for d in support}
+        else:
+            p_user = {d: 0.0 for d in support}
+        D = max(1, len(support))
+        uniform = 1.0 / D
+
+        def m_raw(year: int | None) -> float:
+            if year is None:
+                return 1.0
+            try:
+                y = int(year)
+            except Exception:
+                return 1.0
+            decade = (y // 10) * 10
+            pu = p_user.get(decade, 0.0)
+            return 1.0 + intensity * (pu - uniform)
+
+        return m_raw, alpha
+
+    @staticmethod
+    def _extract_year_from_item(item: dict) -> int | None:
+        """Extract year from a TMDB item dict (raw or enriched)."""
+        date_str = item.get("release_date") or item.get("first_air_date")
+        if not date_str:
+            ri = item.get("releaseInfo")
+            if isinstance(ri, str) and len(ri) >= 4 and ri[:4].isdigit():
+                try:
+                    return int(ri[:4])
+                except Exception:
+                    return None
+            return None
+        try:
+            return int(date_str[:4])
+        except Exception:
+            return None
+
+    @staticmethod
+    def _recency_multiplier(year: int | None) -> float:
+        """Prefer recent titles. Softly dampen very old titles."""
+        if not year:
+            return 1.0
+        try:
+            y = int(year)
+        except Exception:
+            return 1.0
+        if y >= 2021:
+            return 1.12
+        if y >= 2015:
+            return 1.06
+        if y >= 2010:
+            return 1.00
+        if y >= 2000:
+            return 0.92
+        if y >= 1990:
+            return 0.82
+        return 0.70
 
     async def _get_exclusion_sets(self, content_type: str | None = None) -> tuple[set[str], set[int]]:
         """
         Fetch library items and build strict exclusion sets for watched content.
-        Also exclude items the user has added to library to avoid recommending duplicates.
+        Excludes watched and loved items (and items user explicitly removed).
+        Note: We no longer exclude 'added' items to avoid over-thinning the pool.
         Returns (watched_imdb_ids, watched_tmdb_ids)
         """
-        # Always fetch fresh library to ensure we don't recommend what was just watched
-        library_data = await self.stremio_service.get_library_items()
+        # Use cached/pre-fetched library data when available
+        if self._library_data is None:
+            self._library_data = await self.stremio_service.get_library_items()
+        library_data = self._library_data
         # Combine loved, watched, added, and removed (added/removed treated as exclude-only)
-        all_items = (
-            library_data.get("loved", [])
-            + library_data.get("watched", [])
-            + library_data.get("added", [])
-            + library_data.get("removed", [])
-        )
+        all_items = library_data.get("loved", []) + library_data.get("watched", []) + library_data.get("removed", [])
 
         imdb_ids = set()
         tmdb_ids = set()
@@ -112,6 +240,107 @@ async def _get_exclusion_sets(self, content_type: str | None = None) -> tuple[se
 
         return imdb_ids, tmdb_ids
 
+    async def _get_top_genre_whitelist(self, content_type: str) -> set[int]:
+        """Compute and cache user's top-genre whitelist for the given content type."""
+        if content_type in self._whitelist_cache:
+            return self._whitelist_cache[content_type]
+
+        try:
+            if self._library_data is None:
+                self._library_data = await self.stremio_service.get_library_items()
+            all_items = (
+                self._library_data.get("loved", [])
+                + self._library_data.get("watched", [])
+                + self._library_data.get("added", [])
+            )
+            typed = [
+                it
+                for it in all_items
+                if it.get("type") == content_type or (content_type in ("tv", "series") and it.get("type") == "series")
+            ]
+            unique_items = {it["_id"]: it for it in typed}
+            scored_objects = []
+            sorted_history = sorted(
+                unique_items.values(), key=lambda x: x.get("state", {}).get("lastWatched"), reverse=True
+            )
+            for it in sorted_history[:10]:
+                scored_objects.append(self.scoring_service.process_item(it))
+            # UserProfileService expects 'movie' or 'series'
+            prof_content_type = "series" if content_type in ("tv", "series") else "movie"
+            user_profile = await self.user_profile_service.build_user_profile(
+                scored_objects, content_type=prof_content_type
+            )
+            top_gen_pairs = user_profile.get_top_genres(limit=TOP_GENRE_WHITELIST_LIMIT)
+            whitelist = {int(gid) for gid, _ in top_gen_pairs}
+        except Exception:
+            whitelist = set()
+
+        self._whitelist_cache[content_type] = whitelist
+        return whitelist
+
+    async def _passes_top_genre(self, genre_ids: list[int] | None, content_type: str) -> bool:
+        whitelist = await self._get_top_genre_whitelist(content_type)
+        if not whitelist:
+            return True
+        gids = set(genre_ids or [])
+        if not gids:
+            return True
+        if 16 in gids and 16 not in whitelist:
+            return False
+        return bool(gids & whitelist)
+
+    async def _inject_freshness(
+        self,
+        pool: list[dict],
+        media_type: str,
+        watched_tmdb: set[int],
+        excluded_ids: set[int],
+        cap_injection: int,
+        target_capacity: int,
+    ) -> list[dict]:
+        try:
+            mtype = "tv" if media_type in ("tv", "series") else "movie"
+            trending_resp = await self.tmdb_service.get_trending(mtype, time_window="week")
+            trending = trending_resp.get("results", []) if trending_resp else []
+            top_rated_resp = await self.tmdb_service.get_top_rated(mtype)
+            top_rated = top_rated_resp.get("results", []) if top_rated_resp else []
+            fresh_pool = []
+            fresh_pool.extend(trending[:40])
+            fresh_pool.extend(top_rated[:40])
+
+            from collections import defaultdict
+
+            existing_ids = {it.get("id") for it in pool if it.get("id") is not None}
+            fresh_genre_counts = defaultdict(int)
+            fresh_added = 0
+            for it in fresh_pool:
+                tid = it.get("id")
+                if not tid or tid in existing_ids or tid in watched_tmdb:
+                    continue
+                gids = it.get("genre_ids") or []
+                if excluded_ids and excluded_ids.intersection(set(gids)):
+                    continue
+                if not await self._passes_top_genre(gids, media_type):
+                    continue
+                if gids and any(fresh_genre_counts[g] >= cap_injection for g in gids):
+                    continue
+                va = float(it.get("vote_average") or 0.0)
+                vc = int(it.get("vote_count") or 0)
+                if vc < 300 or va < 7.0:
+                    continue
+                pool.append(it)
+                existing_ids.add(tid)
+                for g in gids:
+                    fresh_genre_counts[g] += 1
+                fresh_added += 1
+                if len(pool) >= target_capacity:
+                    break
+            if fresh_added:
+                logger.info(f"Freshness injection added {fresh_added} items")
+        except Exception as e:
+            logger.warning(f"Freshness injection failed: {e}")
+        return pool
+
     async def _filter_candidates(
         self, candidates: list[dict], watched_imdb_ids: set[str], watched_tmdb_ids: set[int]
     ) -> list[dict]:
@@ -134,7 +363,9 @@ async def _filter_candidates(
             filtered.append(item)
         return filtered
 
-    async def _fetch_metadata_for_items(self, items: list[dict], media_type: str) -> list[dict]:
+    async def _fetch_metadata_for_items(
+        self, items: list[dict], media_type: str, target_count: int | None = None, batch_size: int = 20
+    ) -> list[dict]:
         """
         Fetch detailed metadata for items directly from TMDB API and format for Stremio.
         """
@@ -155,72 +386,112 @@ async def _fetch_details(tmdb_id: int):
                 logger.warning(f"Failed to fetch details for TMDB ID {tmdb_id}: {e}")
                 return None
 
-        # Create tasks for all items to fetch details (needed for IMDB ID and full meta)
-        # Filter out items without ID
+        # Filter out items without ID and process in batches for early stop
         valid_items = [item for item in items if item.get("id")]
-        tasks = [_fetch_details(item["id"]) for item in valid_items]
-
-        if not tasks:
+        if not valid_items:
             return []
 
-        details_results = await asyncio.gather(*tasks)
-
-        for details in details_results:
-            if not details:
-                continue
-
-            # Extract IMDB ID from external_ids
-            external_ids = details.get("external_ids", {})
-            imdb_id = external_ids.get("imdb_id")
-            # tmdb_id = details.get("id")
-
-            # Prefer IMDB ID, fallback to TMDB ID
-            if imdb_id:
-                stremio_id = imdb_id
-            else:  # skip content if imdb id is not available
-                continue
+        # Decide target_count if not provided
+        if target_count is None:
+            # Aim to collect up to 2x of typical need but not exceed total
+            target_count = min(len(valid_items), 40)
 
-            # Construct Stremio meta object
-            title = details.get("title") or details.get("name")
-            if not title:
-                continue
+        for i in range(0, len(valid_items), batch_size):
+            if len(final_results) >= target_count:
+                break
+            chunk = valid_items[i : i + batch_size]  # noqa
+            tasks = [_fetch_details(item["id"]) for item in chunk]
+            details_results = await asyncio.gather(*tasks)
+            for details in details_results:
+                if not details:
+                    continue
 
-            # Image paths
-            poster_path = details.get("poster_path")
-            backdrop_path = details.get("backdrop_path")
+                # Extract IMDB ID from external_ids
+                external_ids = details.get("external_ids", {})
+                imdb_id = external_ids.get("imdb_id")
+
+                # Prefer IMDB ID, fallback to TMDB ID (as stremio:tmdb:<id>) to avoid losing candidates
+                if imdb_id:
+                    stremio_id = imdb_id
+                else:
+                    tmdb_fallback = details.get("id")
+                    if tmdb_fallback:
+                        stremio_id = f"tmdb:{tmdb_fallback}"
+                    else:
+                        continue
 
-            release_date = details.get("release_date") or details.get("first_air_date") or ""
-            year = release_date[:4] if release_date else None
+                # Construct Stremio meta object
+                title = details.get("title") or details.get("name")
+                if not title:
+                    continue
 
-            if self.user_settings and self.user_settings.rpdb_key:
-                poster_url = RPDBService.get_poster_url(self.user_settings.rpdb_key, stremio_id)
-            else:
-                poster_url = f"https://image.tmdb.org/t/p/w500{poster_path}" if poster_path else None
-
-            meta_data = {
-                "id": stremio_id,
-                "imdb_id": stremio_id,
-                "type": "series" if media_type in ["tv", "series"] else "movie",
-                "name": title,
-                "poster": poster_url,
-                "background": f"https://image.tmdb.org/t/p/original{backdrop_path}" if backdrop_path else None,
-                "description": details.get("overview"),
-                "releaseInfo": year,
-                "imdbRating": str(details.get("vote_average", "")),
-                "genres": [g.get("name") for g in details.get("genres", [])],
-                # pass internal external_ids for post-filtering if needed
-                "_external_ids": external_ids,
-            }
-
-            # Add runtime if available (Movie) or episode run time (TV)
-            runtime = details.get("runtime")
-            if not runtime and details.get("episode_run_time"):
-                runtime = details.get("episode_run_time")[0]
-
-            if runtime:
-                meta_data["runtime"] = f"{runtime} min"
-
-            final_results.append(meta_data)
+                # Image paths
+                poster_path = details.get("poster_path")
+                backdrop_path = details.get("backdrop_path")
+
+                release_date = details.get("release_date") or details.get("first_air_date") or ""
+                year = release_date[:4] if release_date else None
+
+                if self.user_settings and self.user_settings.rpdb_key:
+                    poster_url = RPDBService.get_poster_url(self.user_settings.rpdb_key, stremio_id)
+                else:
+                    poster_url = f"https://image.tmdb.org/t/p/w500{poster_path}" if poster_path else None
+
+                genres_full = details.get("genres", []) or []
+                genre_ids = [g.get("id") for g in genres_full if isinstance(g, dict) and g.get("id") is not None]
+
+                meta_data = {
+                    "id": stremio_id,
+                    "imdb_id": imdb_id,
+                    "type": "series" if media_type in ["tv", "series"] else "movie",
+                    "name": title,
+                    "poster": poster_url,
+                    "background": f"https://image.tmdb.org/t/p/original{backdrop_path}" if backdrop_path else None,
+                    "description": details.get("overview"),
+                    "releaseInfo": year,
+                    "imdbRating": str(details.get("vote_average", "")),
+                    # Display genres (names) but keep full ids separately
+                    "genres": [g.get("name") for g in genres_full],
+                    # Keep fields for ranking and post-processing
+                    "vote_average": details.get("vote_average"),
+                    "vote_count": details.get("vote_count"),
+                    "popularity": details.get("popularity"),
+                    "original_language": details.get("original_language"),
+                    # pass internal external_ids for post-filtering if needed
+                    "_external_ids": external_ids,
+                    # internal fields for suppression/rerank
+                    "_tmdb_id": details.get("id"),
+                    "genre_ids": genre_ids,
+                }
+
+                # Add runtime if available (Movie) or episode run time (TV)
+                runtime = details.get("runtime")
+                if not runtime and details.get("episode_run_time"):
+                    runtime = details.get("episode_run_time")[0]
+
+                if runtime:
+                    meta_data["runtime"] = f"{runtime} min"
+
+                # internal fields for collection and cast (movies only for collection)
+                if query_media_type == "movie":
+                    coll = details.get("belongs_to_collection") or {}
+                    if isinstance(coll, dict):
+                        meta_data["_collection_id"] = coll.get("id")
+
+                # top 3 cast ids
+                cast = details.get("credits", {}).get("cast", []) or []
+                meta_data["_top_cast_ids"] = [c.get("id") for c in cast[:3] if c.get("id") is not None]
+
+                # Attach minimal structures for similarity to use keywords/credits later
+                if details.get("keywords"):
+                    meta_data["keywords"] = details.get("keywords")
+                if details.get("credits"):
+                    meta_data["credits"] = details.get("credits")
+
+                final_results.append(meta_data)
+
+                if len(final_results) >= target_count:
+                    break
 
         return final_results
 
@@ -251,6 +522,19 @@ async def get_recommendations_for_item(self, item_id: str) -> list[dict]:
         if not media_type:
             media_type = "movie"
 
+        # Build top-genre whitelist for this type
+        _whitelist = await self._get_top_genre_whitelist(media_type)
+
+        def _passes_top_genre(item_genre_ids: list[int] | None) -> bool:
+            if not _whitelist:
+                return True
+            gids = set(item_genre_ids or [])
+            if not gids:
+                return True
+            if 16 in gids and 16 not in _whitelist:
+                return False
+            return bool(gids & _whitelist)
+
         # Fetch more candidates to account for filtering
         # We want 20 final, so fetch 40
         buffer_limit = self.per_item_limit * 2
@@ -271,9 +555,24 @@ async def get_recommendations_for_item(self, item_id: str) -> list[dict]:
             recommendations = [
                 item for item in recommendations if not excluded_ids.intersection(item.get("genre_ids") or [])
             ]
+        # Top-genre whitelist filter
+        recommendations = [it for it in recommendations if _passes_top_genre(it.get("genre_ids"))]
+
+        # 1.6 Freshness: inject trending/top-rated within whitelist to expand pool
+        if len(recommendations) < buffer_limit:
+            recommendations = await self._inject_freshness(
+                recommendations,
+                media_type,
+                watched_tmdb,
+                excluded_ids,
+                max(1, int(self.per_item_limit * PER_GENRE_MAX_SHARE)),
+                buffer_limit,
+            )
 
         # 2. Fetch Metadata (gets IMDB IDs)
-        meta_items = await self._fetch_metadata_for_items(recommendations, media_type)
+        meta_items = await self._fetch_metadata_for_items(
+            recommendations, media_type, target_count=self.per_item_limit * 2
+        )
 
         # 3. Strict Filter by IMDB ID (using metadata)
         final_items = []
@@ -285,6 +584,9 @@ async def get_recommendations_for_item(self, item_id: str) -> list[dict]:
             ext_ids = item.get("_external_ids", {})
             if ext_ids.get("imdb_id") in watched_imdb:
                 continue
+            # Apply top-genre whitelist with enriched genre_ids
+            if not _passes_top_genre(item.get("genre_ids")):
+                continue
 
             # Clean up internal fields
             item.pop("_external_ids", None)
@@ -342,21 +644,72 @@ async def get_recommendations_for_theme(self, theme_id: str, content_type: str,
         if "sort_by" not in params:
             params["sort_by"] = "popularity.desc"
 
-        # Apply Excluded Genres
+        # Apply Excluded Genres but don't conflict with explicit with_genres from theme
         excluded_ids = self._get_excluded_genre_ids(content_type)
         if excluded_ids:
-            params["without_genres"] = "|".join(str(g) for g in excluded_ids)
-
-        # Fetch
-        recommendations = await self.tmdb_service.get_discover(content_type, **params)
-        candidates = recommendations.get("results", [])
+            try:
+                with_ids = {
+                    int(g)
+                    for g in (
+                        params.get("with_genres", "").replace("|", ",").split(",") if params.get("with_genres") else []
+                    )
+                    if g
+                }
+            except Exception:
+                with_ids = set()
+            final_without = [g for g in excluded_ids if g not in with_ids]
+            if final_without:
+                params["without_genres"] = "|".join(str(g) for g in final_without)
+
+        # Build whitelist via helper
+        _whitelist = await self._get_top_genre_whitelist(content_type)
+
+        def _passes_top_genre(item_genre_ids: list[int] | None) -> bool:
+            if not _whitelist:
+                return True
+            gids = set(item_genre_ids or [])
+            if not gids:
+                return True
+            if 16 in gids and 16 not in _whitelist:
+                return False
+            return bool(gids & _whitelist)
+
+        # Fetch (with simple multi-page fallback to increase pool)
+        candidates: list[dict] = []
+        try:
+            first = await self.tmdb_service.get_discover(content_type, **params)
+            candidates.extend(first.get("results", []))
+            # If we have too few, try page 2 (and 3) to increase pool size
+            if len(candidates) < limit * 2:
+                second = await self.tmdb_service.get_discover(content_type, page=2, **params)
+                candidates.extend(second.get("results", []))
+            if len(candidates) < limit * 2:
+                third = await self.tmdb_service.get_discover(content_type, page=3, **params)
+                candidates.extend(third.get("results", []))
+        except Exception:
+            candidates = []
+
+        # Apply top-genre whitelist on raw candidates
+        if candidates:
+            candidates = [it for it in candidates if _passes_top_genre(it.get("genre_ids"))]
 
         # Strict Filtering
         watched_imdb, watched_tmdb = await self._get_exclusion_sets()
         filtered = await self._filter_candidates(candidates, watched_imdb, watched_tmdb)
 
+        # Freshness injection: add trending/popular/top-rated (within whitelist) if pool thin
+        if len(filtered) < limit * 2:
+            filtered = await self._inject_freshness(
+                filtered,
+                content_type,
+                watched_tmdb,
+                set(excluded_ids),
+                max(1, int(limit * PER_GENRE_MAX_SHARE)),
+                limit * 3,
+            )
+
         # Meta
-        meta_items = await self._fetch_metadata_for_items(filtered[: limit * 2], content_type)
+        meta_items = await self._fetch_metadata_for_items(filtered, content_type, target_count=limit * 3)
 
         final_items = []
         for item in meta_items:
@@ -364,9 +717,16 @@ async def get_recommendations_for_theme(self, theme_id: str, content_type: str,
                 continue
             if item.get("_external_ids", {}).get("imdb_id") in watched_imdb:
                 continue
+            # Apply whitelist again on enriched metadata
+            if not _passes_top_genre(item.get("genre_ids")):
+                continue
             item.pop("_external_ids", None)
             final_items.append(item)
 
+        # Enforce limit
+        if len(final_items) > limit:
+            final_items = final_items[:limit]
+
         return final_items
 
     async def _fetch_recommendations_from_tmdb(self, item_id: str, media_type: str, limit: int) -> list[dict]:
@@ -407,11 +767,42 @@ async def _fetch_recommendations_from_tmdb(self, item_id: str, media_type: str,
 
         # Normalize series alias
         mtype = "tv" if media_type in ("tv", "series") else "movie"
-        recommendation_response = await self.tmdb_service.get_recommendations(tmdb_id, mtype)
-        recommended_items = recommendation_response.get("results", [])
-        if not recommended_items:
-            return []
-        return recommended_items
+        # Try multiple pages to increase pool
+        combined: dict[int, dict] = {}
+        try:
+            rec1 = await self.tmdb_service.get_recommendations(tmdb_id, mtype, page=1)
+            for it in rec1.get("results", []):
+                if it.get("id") is not None:
+                    combined[it["id"]] = it
+            if len(combined) < limit:
+                rec2 = await self.tmdb_service.get_recommendations(tmdb_id, mtype, page=2)
+                for it in rec2.get("results", []):
+                    if it.get("id") is not None:
+                        combined[it["id"]] = it
+            if len(combined) < limit:
+                rec3 = await self.tmdb_service.get_recommendations(tmdb_id, mtype, page=3)
+                for it in rec3.get("results", []):
+                    if it.get("id") is not None:
+                        combined[it["id"]] = it
+        except Exception:
+            pass
+
+        # If still thin, use similar as fallback
+        if len(combined) < max(20, limit // 2):
+            try:
+                sim1 = await self.tmdb_service.get_similar(tmdb_id, mtype, page=1)
+                for it in sim1.get("results", []):
+                    if it.get("id") is not None:
+                        combined[it["id"]] = it
+                if len(combined) < limit:
+                    sim2 = await self.tmdb_service.get_similar(tmdb_id, mtype, page=2)
+                    for it in sim2.get("results", []):
+                        if it.get("id") is not None:
+                            combined[it["id"]] = it
+            except Exception:
+                pass
+
+        return list(combined.values())
 
     async def get_recommendations(
         self,
@@ -429,7 +820,9 @@ async def get_recommendations(
         logger.info(f"Starting Hybrid Recommendation Pipeline for {content_type}")
 
         # Step 1: Fetch & Score User Library
-        library_data = await self.stremio_service.get_library_items()
+        if self._library_data is None:
+            self._library_data = await self.stremio_service.get_library_items()
+        library_data = self._library_data
         all_items = library_data.get("loved", []) + library_data.get("watched", []) + library_data.get("added", [])
         logger.info(f"processing {len(all_items)} Items.")
         # Cold-start fallback remains (redundant safety)
@@ -468,10 +861,27 @@ async def get_recommendations(
         excluded_ids = set(self._get_excluded_genre_ids(content_type))
 
         similarity_recommendations = [item for item in similarity_recommendations if not isinstance(item, Exception)]
+        # Apply excluded-genre filter for similarity candidates (whitelist will be applied after profile build)
         for batch in similarity_recommendations:
-            similarity_candidates.extend(
-                item for item in batch if not excluded_ids.intersection(item.get("genre_ids") or [])
-            )
+            for item in batch:
+                gids = item.get("genre_ids") or []
+                if excluded_ids.intersection(gids):
+                    continue
+                similarity_candidates.append(item)
+
+        # Quality gate for similarity candidates: keep higher-quality when we have enough
+        def _qual(item: dict) -> bool:
+            try:
+                vc = int(item.get("vote_count") or 0)
+                va = float(item.get("vote_average") or 0.0)
+                wr = self._weighted_rating(va, vc)
+                return (vc >= 150 and wr >= 6.0) or (vc >= 500 and wr >= 5.6)
+            except Exception:
+                return False
+
+        # filtered_sim = [it for it in similarity_candidates if _qual(it)]
+        # if len(filtered_sim) >= 40:
+        #     similarity_candidates = filtered_sim
 
         # --- Candidate Set B: Profile-based Discovery ---
         # Extract excluded genres
@@ -481,14 +891,50 @@ async def get_recommendations(
         user_profile = await self.user_profile_service.build_user_profile(
             scored_objects, content_type=content_type, excluded_genres=excluded_genres
         )
-        discovery_candidates = await self.discovery_engine.discover_recommendations(
-            user_profile, content_type, limit=20, excluded_genres=excluded_genres
-        )
+        # AUTO recency preference function based on profile years
+        # recency_fn = self._get_recency_multiplier_fn(user_profile)
+        # Build per-user top-genre whitelist
+        try:
+            top_gen_pairs = user_profile.get_top_genres(limit=TOP_GENRE_WHITELIST_LIMIT)
+            top_genre_whitelist: set[int] = {int(gid) for gid, _ in top_gen_pairs}
+        except Exception:
+            top_genre_whitelist = set()
+
+        def _passes_top_genre(item_genre_ids: list[int] | None) -> bool:
+            if not top_genre_whitelist:
+                return True
+            gids = set(item_genre_ids or [])
+            if not gids:
+                return True
+            if 16 in gids and 16 not in top_genre_whitelist:
+                return False
+            return bool(gids & top_genre_whitelist)
+
+        # Always include discovery, but bias to keywords/cast (avoid genre-heavy discovery)
+        try:
+            discovery_candidates = await self.discovery_engine.discover_recommendations(
+                user_profile,
+                content_type,
+                limit=max_results * 3,
+                excluded_genres=excluded_genres,
+                use_genres=False,
+                use_keywords=True,
+                use_cast=True,
+                use_director=True,
+                use_countries=False,
+                use_year=False,
+            )
+        except Exception as e:
+            logger.warning(f"Discovery fetch failed: {e}")
+            discovery_candidates = []
 
         # --- Combine & Deduplicate ---
         candidate_pool = {}  # tmdb_id -> item_dict
 
         for item in discovery_candidates:
+            gids = item.get("genre_ids") or []
+            if not _passes_top_genre(gids):
+                continue
             candidate_pool[item["id"]] = item
 
         for item in similarity_candidates:
@@ -496,6 +942,71 @@ async def get_recommendations(
             item["_ranked_candidate"] = True
             candidate_pool[item["id"]] = item
 
+        logger.info(f"Similarity candidates collected: {len(similarity_candidates)}; pool size: {len(candidate_pool)}")
+
+        # Build recency blend function (m_raw, alpha) based on profile and candidate decades
+        try:
+            candidate_decades = set()
+            for it in candidate_pool.values():
+                y = self._extract_year_from_item(it)
+                if y:
+                    candidate_decades.add((int(y) // 10) * 10)
+            recency_m_raw, recency_alpha = self._get_recency_multiplier_fn(user_profile, candidate_decades)
+        except Exception:
+            recency_m_raw, recency_alpha = (lambda _y: 1.0), 0.0
+
+        # Freshness injection: trending/highly rated items to broaden taste
+        try:
+            fresh_added = 0
+            from collections import defaultdict
+
+            fresh_genre_counts = defaultdict(int)
+            cap_injection = max(1, int(max_results * PER_GENRE_MAX_SHARE))
+            mtype = "tv" if content_type in ("tv", "series") else "movie"
+            trending_resp = await self.tmdb_service.get_trending(mtype, time_window="week")
+            trending = trending_resp.get("results", []) if trending_resp else []
+            # Mix in top-rated
+            top_rated_resp = await self.tmdb_service.get_top_rated(mtype)
+            top_rated = top_rated_resp.get("results", []) if top_rated_resp else []
+            fresh_pool = []
+            fresh_pool.extend(trending[:40])
+            fresh_pool.extend(top_rated[:40])
+            # Filter by excluded genres and quality threshold
+            for it in fresh_pool:
+                tid = it.get("id")
+                if not tid or tid in candidate_pool:
+                    continue
+                # Exclude already watched by TMDB id
+                if tid in watched_tmdb_ids:
+                    continue
+                # Excluded genres
+                gids = it.get("genre_ids") or []
+                if excluded_ids and excluded_ids.intersection(set(gids)):
+                    continue
+                # Respect top-genre whitelist
+                if not _passes_top_genre(gids):
+                    continue
+                # Quality: prefer strong audience signal
+                va = float(it.get("vote_average") or 0.0)
+                vc = int(it.get("vote_count") or 0)
+                if vc < 300 or va < 7.0:
+                    continue
+                # Genre diversity inside freshness injection
+                if gids and any(fresh_genre_counts[g] >= cap_injection for g in gids):
+                    continue
+                # Mark as freshness candidate
+                it["_fresh_boost"] = True
+                candidate_pool[tid] = it
+                for g in gids:
+                    fresh_genre_counts[g] += 1
+                fresh_added += 1
+                if fresh_added >= max_results * 2:
+                    break
+            if fresh_added:
+                logger.info(f"Freshness injection added {fresh_added} trending/top-rated candidates")
+        except Exception as e:
+            logger.warning(f"Freshness injection failed: {e}")
+
         # --- Re-Ranking & Filtering ---
         ranked_candidates = []
 
@@ -504,22 +1015,75 @@ async def get_recommendations(
             if tmdb_id in watched_tmdb_ids or f"tmdb:{tmdb_id}" in watched_imdb_ids:
                 continue
 
-            sim_score = self.user_profile_service.calculate_similarity(user_profile, item)
-            vote_average = item.get("vote_average", 0)
-            popularity = item.get("popularity", 0)
-
-            pop_score = normalize(popularity, 0, 1000)
-            vote_score = normalize(vote_average, 0, 10)
-
-            final_score = (sim_score * 0.6) + (vote_score * 0.3) + (pop_score * 0.1)
+            # Use simple overlap similarity (Jaccard on tokens/genres/keywords)
+            try:
+                sim_score, sim_breakdown = self.user_profile_service.calculate_simple_overlap_with_breakdown(
+                    user_profile, item
+                )
+            except Exception:
+                sim_score = 0.0
+                sim_breakdown = {}
+            # attach breakdown to item for later inspection
+            item["_sim_breakdown"] = sim_breakdown
+
+            # If we only matched on genres (topics/keywords near zero), slightly penalize
+            try:
+                non_gen_relevance = float(sim_breakdown.get("topics_jaccard", 0.0)) + float(
+                    sim_breakdown.get("keywords_jaccard", 0.0)
+                )
+                if non_gen_relevance <= 0.0001:
+                    sim_score *= 0.8
+                    item["_sim_penalty"] = True
+                    item["_sim_penalty_reason"] = "genre_only_match"
+            except Exception:
+                pass
+            vote_avg = item.get("vote_average", 0.0)
+            vote_count = item.get("vote_count", 0)
+            popularity = float(item.get("popularity", 0.0))
+
+            # Weighted rating then normalize to 0-1
+            wr = self._weighted_rating(vote_avg, vote_count)
+            vote_score = self._normalize(wr, 0.0, 10.0)
+            pop_score = self._normalize(popularity, 0.0, 1000.0)
+
+            # Increase weight on quality to avoid low-rated picks
+            final_score = (sim_score * 0.55) + (vote_score * 0.35) + (pop_score * 0.10)
+            # AUTO recency (blend): final *= (1 - alpha) + alpha * m_raw
+            try:
+                y = self._extract_year_from_item(item)
+                m = recency_m_raw(y)
+                final_score *= (1.0 - recency_alpha) + (recency_alpha * m)
+            except Exception:
+                pass
+            # Stable tiny epsilon to break ties deterministically
+            final_score += self._stable_epsilon(tmdb_id)
+
+            # Quality-aware multiplicative adjustments
+            q_mult = 1.0
+            if vote_count < 50:
+                q_mult *= 0.6
+            elif vote_count < 150:
+                q_mult *= 0.85
+            if wr < 5.5:
+                q_mult *= 0.5
+            elif wr < 6.0:
+                q_mult *= 0.7
+            elif wr >= 7.0 and vote_count >= 500:
+                q_mult *= 1.10
+
+            # Boost candidate if from TMDB collaborative recommendations, but only if quality is decent
+            if item.get("_ranked_candidate"):
+                if wr >= 6.5 and vote_count >= 200:
+                    q_mult *= 1.25
+                elif wr >= 6.0 and vote_count >= 100:
+                    q_mult *= 1.10
+                # else no boost
 
-            # Add tiny jitter to promote freshness and avoid static ordering
-            jitter = random.uniform(-0.02, 0.02)  # +/-2%
-            final_score = final_score * (1 + jitter)
+            # Mild boost for freshness-injected trending/top-rated picks to keep feed fresh
+            if item.get("_fresh_boost") and wr >= 7.0 and vote_count >= 300:
+                q_mult *= 1.10
 
-            # Boost candidate if its from tmdb collaborative recommendations
-            if item.get("_ranked_candidate"):
-                final_score *= 1.25
+            final_score *= q_mult
             ranked_candidates.append((final_score, item))
 
         # Sort by Final Score and cache score on item for diversification
@@ -527,71 +1091,201 @@ async def get_recommendations(
         for score, item in ranked_candidates:
             item["_final_score"] = score
 
-        # Diversify with MMR to avoid shallow, repetitive picks
-        def _jaccard(a: set, b: set) -> float:
-            if not a and not b:
-                return 0.0
-            inter = len(a & b)
-            union = len(a | b)
-            return inter / union if union else 0.0
-
-        def _candidate_similarity(x: dict, y: dict) -> float:
-            gx = set(x.get("genre_ids") or [])
-            gy = set(y.get("genre_ids") or [])
-            s = _jaccard(gx, gy)
-            # Mild penalty if same language to encourage variety
-            lx = x.get("original_language")
-            ly = y.get("original_language")
-            if lx and ly and lx == ly:
-                s += 0.05
-            return min(s, 1.0)
-
-        def _mmr_select(cands: list[dict], k: int, lamb: float = 0.75) -> list[dict]:
-            selected: list[dict] = []
-            remaining = cands[:]
-            while remaining and len(selected) < k:
-                if not selected:
-                    best = remaining.pop(0)
-                    selected.append(best)
-                    continue
-                best_item = None
-                best_score = float("-inf")
-                for cand in remaining[:50]:  # evaluate a window for speed
-                    rel = cand.get("_final_score", 0.0)
-                    div = 0.0
-                    for s in selected:
-                        div = max(div, _candidate_similarity(cand, s))
-                    mmr = lamb * rel - (1 - lamb) * div
-                    if mmr > best_score:
-                        best_score = mmr
-                        best_item = cand
-                if best_item is None:
-                    break
-                selected.append(best_item)
-                try:
-                    remaining.remove(best_item)
-                except ValueError:
-                    pass
-            return selected
-
+        # Lightweight logging: show top 5 ranked candidates with similarity breakdown
+        try:
+            top_n = ranked_candidates[:5]
+            if top_n:
+                logger.info("Top similarity-ranked candidates (pre-meta):")
+                for sc, it in top_n:
+                    name = it.get("title") or it.get("name") or it.get("original_title") or it.get("id")
+                    bd = it.get("_sim_breakdown") or {}
+                    logger.info(f"- {name} (tmdb:{it.get('id')}): score={sc:.4f} breakdown={bd}")
+        except Exception:
+            pass
+
+        # Simplified selection: take top-ranked items directly (no MMR diversification)
         top_ranked_items = [item for _, item in ranked_candidates]
-        diversified = _mmr_select(top_ranked_items, k=max_results * 2, lamb=0.75)
-        # Select with buffer for final IMDB filtering after diversification
-        buffer_selection = diversified
+        # Buffer selection size is 2x requested results to allow final filtering
+        buffer_selection = top_ranked_items[: max_results * 2]
 
         # Fetch Full Metadata
-        meta_items = await self._fetch_metadata_for_items(buffer_selection, content_type)
+        meta_items = await self._fetch_metadata_for_items(buffer_selection, content_type, target_count=max_results * 2)
 
-        # Final Strict Filter by IMDB ID
+        # Recompute similarity with enriched metadata (keywords, credits)
         final_items = []
+        used_collections: set[int] = set()
+        used_cast: set[int] = set()
         for item in meta_items:
             if item["id"] in watched_imdb_ids:
                 continue
             ext_ids = item.get("_external_ids", {})
             if ext_ids.get("imdb_id") in watched_imdb_ids:
                 continue
+            # Apply top-genre whitelist again using enriched genre_ids if present
+            if not _passes_top_genre(item.get("genre_ids")):
+                continue
 
-            item.pop("_external_ids", None)
+            try:
+                sim_score, sim_breakdown = self.user_profile_service.calculate_simple_overlap_with_breakdown(
+                    user_profile, item
+                )
+            except Exception:
+                sim_score = 0.0
+                sim_breakdown = {}
+            item["_sim_breakdown"] = sim_breakdown
+            wr = self._weighted_rating(item.get("vote_average"), item.get("vote_count"))
+            vote_score = self._normalize(wr, 0.0, 10.0)
+            pop_score = self._normalize(float(item.get("popularity") or 0.0), 0.0, 1000.0)
+
+            base = (sim_score * 0.55) + (vote_score * 0.35) + (pop_score * 0.10)
+            base += self._stable_epsilon(item.get("_tmdb_id") or 0)
+
+            # Quality-aware adjustment
+            vc = int(item.get("vote_count") or 0)
+            q_mult = 1.0
+            if vc < 50:
+                q_mult *= 0.6
+            elif vc < 150:
+                q_mult *= 0.85
+            if wr < 5.5:
+                q_mult *= 0.5
+            elif wr < 6.0:
+                q_mult *= 0.7
+            elif wr >= 7.0 and vc >= 500:
+                q_mult *= 1.10
+
+            # AUTO recency (blend) in post-metadata stage as well
+            try:
+                y = self._extract_year_from_item(item)
+                m = recency_m_raw(y)
+                q_mult *= (1.0 - recency_alpha) + (recency_alpha * m)
+            except Exception:
+                pass
+
+            score = base * q_mult
+
+            # Collection/cast suppression
+            penalty = 0.0
+            coll_id = item.get("_collection_id")
+            if isinstance(coll_id, int) and coll_id in used_collections:
+                penalty += 0.05
+            cast_ids = set(item.get("_top_cast_ids", []) or [])
+            overlap = len(cast_ids & used_cast)
+            if overlap:
+                penalty += min(0.03 * overlap, 0.09)
+            score *= 1.0 - penalty
+            item["_adjusted_score"] = score
             final_items.append(item)
 
-        return final_items
+        # Sort by adjusted score descending
+        final_items.sort(key=lambda x: x.get("_adjusted_score", 0.0), reverse=True)
+
+        # Diversified selection: per-genre cap AND proportional decade apportionment
+        from collections import defaultdict
+
+        genre_take_counts = defaultdict(int)
+        cap_per_genre = max(1, int(max_results * PER_GENRE_MAX_SHARE))
+
+        # Build decade targets from user profile distribution over decades present in final_items
+        decades_in_results = []
+        for it in final_items:
+            y = self._extract_year_from_item(it)
+            if y:
+                decades_in_results.append((int(y) // 10) * 10)
+            else:
+                decades_in_results.append(None)
+
+        # User decade prefs
+        try:
+            years_map = getattr(user_profile.years, "values", {}) or {}
+            decade_weights = {int(k): float(v) for k, v in years_map.items() if isinstance(k, int)}
+            total_w = sum(decade_weights.values())
+        except Exception:
+            decade_weights = {}
+            total_w = 0.0
+
+        support = {d for d in decades_in_results if d is not None}
+        if total_w > 0 and support:
+            p_user = {d: (decade_weights.get(d, 0.0) / total_w) for d in support}
+            # Normalize to sum 1 over support
+            s = sum(p_user.values())
+            if s > 0:
+                for d in list(p_user.keys()):
+                    p_user[d] = p_user[d] / s
+            else:
+                # fallback to uniform over support
+                p_user = {d: 1.0 / len(support) for d in support}
+        else:
+            # Neutral: uniform over decades present
+            p_user = {d: 1.0 / len(support) for d in support} if support else {}
+
+        # Largest remainder apportionment
+        targets = defaultdict(int)
+        remainders = []
+        slots = max_results
+        for d, p in p_user.items():
+            tgt = p * slots
+            base = int(tgt)
+            targets[d] = base
+            remainders.append((tgt - base, d))
+        assigned = sum(targets.values())
+        remaining = max(0, slots - assigned)
+        if remaining > 0 and remainders:
+            remainders.sort(key=lambda x: x[0], reverse=True)
+            for _, d in remainders[:remaining]:
+                targets[d] += 1
+
+        # First pass: honor decade targets and genre caps
+        decade_counts = defaultdict(int)
+        diversified = []
+        for it in final_items:
+            if len(diversified) >= max_results * 2:
+                break
+            gids = list(it.get("genre_ids") or [])
+            if gids and any(genre_take_counts[g] >= cap_per_genre for g in gids):
+                continue
+            y = self._extract_year_from_item(it)
+            d = (int(y) // 10) * 10 if y else None
+            if d is not None and d in targets and decade_counts[d] >= targets[d]:
+                continue
+            diversified.append(it)
+            for g in gids:
+                genre_take_counts[g] += 1
+            if d is not None:
+                decade_counts[d] += 1
+
+        # Second pass: fill remaining up to max_results ignoring decade targets but keeping genre caps
+        if len(diversified) < max_results:
+            for it in final_items:
+                if it in diversified:
+                    continue
+                if len(diversified) >= max_results * 2:
+                    break
+                gids = list(it.get("genre_ids") or [])
+                if gids and any(genre_take_counts[g] >= cap_per_genre for g in gids):
+                    continue
+                diversified.append(it)
+                for g in gids:
+                    genre_take_counts[g] += 1
+
+        # Update used sets for next requests (implicit) and cleanup internal fields
+        ordered = []
+        for it in diversified:
+            coll = it.pop("_collection_id", None)
+            if isinstance(coll, int):
+                used_collections.add(coll)
+            for cid in it.pop("_top_cast_ids", []) or []:
+                try:
+                    used_cast.add(int(cid))
+                except Exception:
+                    pass
+            it.pop("_external_ids", None)
+            it.pop("_tmdb_id", None)
+            it.pop("_adjusted_score", None)
+            ordered.append(it)
+
+        # Enforce max_results limit
+        if len(ordered) > max_results:
+            ordered = ordered[:max_results]
+
+        return ordered
diff --git a/app/services/row_generator.py b/app/services/row_generator.py
index 250177e..706c040 100644
--- a/app/services/row_generator.py
+++ b/app/services/row_generator.py
@@ -6,7 +6,7 @@
 from app.services.gemini import gemini_service
 from app.services.tmdb.countries import COUNTRY_ADJECTIVES
 from app.services.tmdb.genre import movie_genres, series_genres
-from app.services.tmdb_service import TMDBService
+from app.services.tmdb_service import TMDBService, get_tmdb_service
 
 
 def normalize_keyword(kw):
@@ -36,7 +36,7 @@ class RowGeneratorService:
     """
 
     def __init__(self, tmdb_service: TMDBService | None = None):
-        self.tmdb_service = tmdb_service or TMDBService()
+        self.tmdb_service = tmdb_service or get_tmdb_service()
 
     async def generate_rows(self, profile: UserTasteProfile, content_type: str = "movie") -> list[RowDefinition]:
         """
diff --git a/app/services/stremio_service.py b/app/services/stremio_service.py
index 1bee937..c21719e 100644
--- a/app/services/stremio_service.py
+++ b/app/services/stremio_service.py
@@ -45,6 +45,9 @@ def __init__(
         # Reuse HTTP client for connection pooling and better performance
         self._client: httpx.AsyncClient | None = None
         self._likes_client: httpx.AsyncClient | None = None
+        # lightweight per-instance cache for library fetch
+        self._library_cache: dict | None = None
+        self._library_cache_expiry: float = 0.0
 
     async def _get_client(self) -> httpx.AsyncClient:
         """Get or create the main Stremio API client."""
@@ -212,11 +215,16 @@ async def get_user_email(self) -> str:
         user_info = await self.get_user_info()
         return user_info.get("email", "")
 
-    async def get_library_items(self) -> dict[str, list[dict]]:
+    async def get_library_items(self, use_cache: bool = True, cache_ttl_seconds: int = 30) -> dict[str, list[dict]]:
         """
         Fetch library items from Stremio once and return both watched and loved items.
         Returns a dict with 'watched' and 'loved' keys.
         """
+        import time
+
+        if use_cache and self._library_cache and time.time() < self._library_cache_expiry:
+            return self._library_cache
+
         if not self._auth_key:
             logger.warning("Stremio auth key not configured")
             return {"watched": [], "loved": []}
@@ -318,13 +326,18 @@ def _sort_key(x: dict):
                 added_items.append(item)
 
             logger.info(f"Found {len(added_items)} added (unwatched) and {len(removed_items)} removed library items")
-            # Return raw items; ScoringService will handle Pydantic conversion
-            return {
+            # Prepare result
+            result = {
                 "watched": watched_items,
                 "loved": loved_items,
                 "added": added_items,
                 "removed": removed_items,
             }
+            # cache
+            if use_cache and cache_ttl_seconds > 0:
+                self._library_cache = result
+                self._library_cache_expiry = time.time() + cache_ttl_seconds
+            return result
         except Exception as e:
             logger.error(f"Error fetching library items: {e}", exc_info=True)
             return {"watched": [], "loved": []}
diff --git a/app/services/tmdb_service.py b/app/services/tmdb_service.py
index 1ea9a5c..fed117d 100644
--- a/app/services/tmdb_service.py
+++ b/app/services/tmdb_service.py
@@ -1,4 +1,5 @@
 import asyncio
+import functools
 import random
 
 import httpx
@@ -148,21 +149,21 @@ async def get_tv_details(self, tv_id: int) -> dict:
         params = {"append_to_response": "credits,external_ids,keywords"}
         return await self._make_request(f"/tv/{tv_id}", params=params)
 
-    @alru_cache(maxsize=1000)
+    @alru_cache(maxsize=1000, ttl=6 * 60 * 60)
     async def get_recommendations(self, tmdb_id: int, media_type: str, page: int = 1) -> dict:
         """Get recommendations based on TMDB ID and media type."""
         params = {"page": page}
         endpoint = f"/{media_type}/{tmdb_id}/recommendations"
         return await self._make_request(endpoint, params=params)
 
-    @alru_cache(maxsize=1000)
+    @alru_cache(maxsize=1000, ttl=6 * 60 * 60)
     async def get_similar(self, tmdb_id: int, media_type: str, page: int = 1) -> dict:
         """Get similar content based on TMDB ID and media type."""
         params = {"page": page}
         endpoint = f"/{media_type}/{tmdb_id}/similar"
         return await self._make_request(endpoint, params=params)
 
-    @alru_cache(maxsize=1000)
+    @alru_cache(maxsize=1000, ttl=30 * 60)
     async def get_discover(
         self,
         media_type: str,
@@ -180,3 +181,25 @@ async def get_discover(
             params.update(kwargs)
         endpoint = f"/discover/{media_type}"
         return await self._make_request(endpoint, params=params)
+
+    @alru_cache(maxsize=500, ttl=60 * 60)
+    async def get_trending(self, media_type: str, time_window: str = "week", page: int = 1) -> dict:
+        """Get trending content. media_type: 'movie' or 'tv'. time_window: 'day' or 'week'"""
+        mt = "movie" if media_type == "movie" else "tv"
+        params = {"page": page}
+        endpoint = f"/trending/{mt}/{time_window}"
+        return await self._make_request(endpoint, params=params)
+
+    @alru_cache(maxsize=500, ttl=60 * 60)
+    async def get_top_rated(self, media_type: str, page: int = 1) -> dict:
+        """Get top-rated content list."""
+        mt = "movie" if media_type == "movie" else "tv"
+        params = {"page": page}
+        endpoint = f"/{mt}/top_rated"
+        return await self._make_request(endpoint, params=params)
+
+
+# Singleton factory to reuse clients and async caches per language
+@functools.lru_cache(maxsize=16)
+def get_tmdb_service(language: str = "en-US") -> TMDBService:
+    return TMDBService(language=language)
diff --git a/app/services/token_store.py b/app/services/token_store.py
index 304a6be..918af2c 100644
--- a/app/services/token_store.py
+++ b/app/services/token_store.py
@@ -1,4 +1,5 @@
 import base64
+import contextvars
 import json
 from collections.abc import AsyncIterator
 from typing import Any
@@ -24,6 +25,8 @@ def __init__(self) -> None:
         # Cache decrypted payloads for 1 day (86400s) to reduce Redis hits
         # Max size 5000 allows many active users without eviction
         self._payload_cache: TTLCache = TTLCache(maxsize=5000, ttl=86400)
+        # per-request redis call counter (context-local)
+        self._redis_calls_var: contextvars.ContextVar[int] = contextvars.ContextVar("watchly_redis_calls", default=0)
 
         if not settings.REDIS_URL:
             logger.warning("REDIS_URL is not set. Token storage will fail until a Redis instance is configured.")
@@ -100,8 +103,10 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
         json_str = json.dumps(storage_data)
 
         if settings.TOKEN_TTL_SECONDS and settings.TOKEN_TTL_SECONDS > 0:
+            self._incr_calls()
             await client.setex(key, settings.TOKEN_TTL_SECONDS, json_str)
         else:
+            self._incr_calls()
             await client.set(key, json_str)
 
         # Update cache with the payload
@@ -111,10 +116,13 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
 
     async def get_user_data(self, token: str) -> dict[str, Any] | None:
         if token in self._payload_cache:
+            logger.info(f"[REDIS] Using cached redis data {token}")
             return self._payload_cache[token]
+        logger.info(f"[REDIS]Caching Failed. Fetching data from redis for {token}")
 
         key = self._format_key(token)
         client = await self._get_client()
+        self._incr_calls()
         data_raw = await client.get(key)
 
         if not data_raw:
@@ -136,13 +144,14 @@ async def delete_token(self, token: str = None, key: str = None) -> None:
             key = self._format_key(token)
 
         client = await self._get_client()
+        self._incr_calls()
         await client.delete(key)
 
         # Invalidate local cache
         if token and token in self._payload_cache:
             del self._payload_cache[token]
 
-    async def iter_payloads(self) -> AsyncIterator[tuple[str, dict[str, Any]]]:
+    async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str, dict[str, Any]]]:
         try:
             client = await self._get_client()
         except (redis.RedisError, OSError) as exc:
@@ -152,25 +161,82 @@ async def iter_payloads(self) -> AsyncIterator[tuple[str, dict[str, Any]]]:
         pattern = f"{self.KEY_PREFIX}*"
 
         try:
-            async for key in client.scan_iter(match=pattern):
+            buffer: list[str] = []
+            async for key in client.scan_iter(match=pattern, count=batch_size):
+                buffer.append(key)
+                if len(buffer) >= batch_size:
+                    try:
+                        self._incr_calls()
+                        values = await client.mget(buffer)
+                    except (redis.RedisError, OSError) as exc:
+                        logger.warning(f"Failed batch fetch for {len(buffer)} keys: {exc}")
+                        values = [None] * len(buffer)
+                    for k, data_raw in zip(buffer, values):
+                        if not data_raw:
+                            continue
+                        try:
+                            payload = json.loads(data_raw)
+                        except json.JSONDecodeError:
+                            logger.warning(f"Failed to decode payload for key {redact_token(k)}. Skipping.")
+                            continue
+                        # Decrypt authKey for downstream consumers
+                        try:
+                            if payload.get("authKey"):
+                                payload["authKey"] = self.decrypt_token(payload["authKey"])
+                        except Exception:
+                            pass
+                        # Update L1 cache (token only)
+                        tok = k[len(self.KEY_PREFIX) :] if k.startswith(self.KEY_PREFIX) else k  # noqa
+                        self._payload_cache[tok] = payload
+                        yield k, payload
+                    buffer.clear()
+
+            # Flush remainder
+            if buffer:
                 try:
-                    data_raw = await client.get(key)
+                    self._incr_calls()
+                    values = await client.mget(buffer)
                 except (redis.RedisError, OSError) as exc:
-                    logger.warning(f"Failed to fetch payload for {redact_token(key)}: {exc}")
-                    continue
+                    logger.warning(f"Failed batch fetch for {len(buffer)} keys: {exc}")
+                    values = [None] * len(buffer)
+                for k, data_raw in zip(buffer, values):
+                    if not data_raw:
+                        continue
+                    try:
+                        payload = json.loads(data_raw)
+                    except json.JSONDecodeError:
+                        logger.warning(f"Failed to decode payload for key {redact_token(k)}. Skipping.")
+                        continue
+                    try:
+                        if payload.get("authKey"):
+                            payload["authKey"] = self.decrypt_token(payload["authKey"])
+                    except Exception:
+                        pass
+                    tok = k[len(self.KEY_PREFIX) :] if k.startswith(self.KEY_PREFIX) else k  # noqa
+                    self._payload_cache[tok] = payload
+                    yield k, payload
+        except (redis.RedisError, OSError) as exc:
+            logger.warning(f"Failed to scan credential tokens: {exc}")
 
-                if not data_raw:
-                    continue
+    # ---- Diagnostics ----
+    def _incr_calls(self) -> None:
+        try:
+            current = self._redis_calls_var.get()
+            self._redis_calls_var.set(current + 1)
+        except Exception:
+            pass
 
-                try:
-                    payload = json.loads(data_raw)
-                except json.JSONDecodeError:
-                    logger.warning(f"Failed to decode payload for key {redact_token(key)}. Skipping.")
-                    continue
+    def reset_call_counter(self) -> None:
+        try:
+            self._redis_calls_var.set(0)
+        except Exception:
+            pass
 
-                yield key, payload
-        except (redis.RedisError, OSError) as exc:
-            logger.warning(f"Failed to scan credential tokens: {exc}")
+    def get_call_count(self) -> int:
+        try:
+            return int(self._redis_calls_var.get())
+        except Exception:
+            return 0
 
 
 token_store = TokenStore()
diff --git a/app/services/user_profile.py b/app/services/user_profile.py
index 2c0cbba..e5a0334 100644
--- a/app/services/user_profile.py
+++ b/app/services/user_profile.py
@@ -3,16 +3,20 @@
 
 from app.models.profile import UserTasteProfile
 from app.models.scoring import ScoredItem
-from app.services.tmdb_service import TMDBService
+from app.services.tmdb_service import get_tmdb_service
 
 # TODO: Make these weights dynamic based on user's preferences.
-GENRES_WEIGHT = 0.3
-KEYWORDS_WEIGHT = 0.40
-CAST_WEIGHT = 0.1
-CREW_WEIGHT = 0.1
+GENRES_WEIGHT = 0.20
+KEYWORDS_WEIGHT = 0.30
+CAST_WEIGHT = 0.12
+CREW_WEIGHT = 0.08
 YEAR_WEIGHT = 0.05
 COUNTRIES_WEIGHT = 0.05
-BASE_GENRE_WEIGHT = 0.15
+BASE_GENRE_WEIGHT = 0.05
+TOPICS_WEIGHT = 0.20
+
+# Global constant to control size of user's top-genre whitelist used in filtering
+TOP_GENRE_WHITELIST_LIMIT = 5
 
 
 def emphasis(x: float) -> float:
@@ -35,8 +39,8 @@ class UserProfileService:
     a single 'User Vector' representing their taste.
     """
 
-    def __init__(self):
-        self.tmdb_service = TMDBService()
+    def __init__(self, language: str = "en-US"):
+        self.tmdb_service = get_tmdb_service(language=language)
 
     async def build_user_profile(
         self,
@@ -56,6 +60,7 @@ async def build_user_profile(
             "crew": defaultdict(float),
             "years": defaultdict(float),
             "countries": defaultdict(float),
+            "topics": defaultdict(float),
         }
 
         async def _process(item):
@@ -100,6 +105,7 @@ async def _process(item):
             crew={"values": dict(profile_data["crew"])},
             years={"values": dict(profile_data["years"])},
             countries={"values": dict(profile_data["countries"])},
+            topics={"values": dict(profile_data["topics"])},
         )
 
         # Normalize all vectors to 0-1 range
@@ -110,83 +116,142 @@ async def _process(item):
     def calculate_similarity(self, profile: UserTasteProfile, item_meta: dict) -> float:
         """
         Final improved similarity scoring function.
-        Uses normalized sparse matching + rarity boosting + non-linear emphasis.
+        Simplified similarity: linear weighted sum across core dimensions.
         """
+        item_vec = self._vectorize_item(item_meta)
 
+        # Linear weighted sum across selected dimensions
+        # For each dimension we average per-feature match to avoid bias from many features
+        def avg_pref(features, mapping):
+            if not features:
+                return 0.0
+            s = 0.0
+            for f in features:
+                s += mapping.get(f, 0.0)
+            return s / max(1, len(features))
+
+        g_score = avg_pref(item_vec.get("genres", []), profile.genres.values) * GENRES_WEIGHT
+        k_score = avg_pref(item_vec.get("keywords", []), profile.keywords.values) * KEYWORDS_WEIGHT
+        c_score = avg_pref(item_vec.get("cast", []), profile.cast.values) * CAST_WEIGHT
+        t_score = avg_pref(item_vec.get("topics", []), profile.topics.values) * TOPICS_WEIGHT
+
+        # Optional extras with small weights
+        crew_score = avg_pref(item_vec.get("crew", []), profile.crew.values) * CREW_WEIGHT
+        country_score = avg_pref(item_vec.get("countries", []), profile.countries.values) * COUNTRIES_WEIGHT
+        year_val = item_vec.get("year")
+        year_score = 0.0
+        if year_val is not None:
+            year_score = profile.years.values.get(year_val, 0.0) * YEAR_WEIGHT
+
+        score = g_score + k_score + c_score + t_score + crew_score + country_score + year_score
+
+        return float(score)
+
+    def calculate_similarity_with_breakdown(self, profile: UserTasteProfile, item_meta: dict) -> tuple[float, dict]:
+        """
+        Compute similarity and also return a per-dimension breakdown for logging/tuning.
+        Returns (score, breakdown_dict)
+        """
         item_vec = self._vectorize_item(item_meta)
 
-        score = 0.0
-
-        # 1. GENRES
-        # Normalize so movies with many genres don't get excessive score.
-        for gid in item_vec["genres"]:
-            pref = profile.genres.values.get(gid, 0.0)
-
-            if pref > 0:
-                s = emphasis(pref)
-                s = safe_div(s, len(item_vec["genres"]))
-                score += s * GENRES_WEIGHT
-
-            # Soft prior bias (genre-only)
-            base_pref = profile.top_genres_normalized.get(gid, 0.0)
-            score += base_pref * BASE_GENRE_WEIGHT
-
-        # 2. KEYWORDS
-        for kw in item_vec["keywords"]:
-            pref = profile.keywords.values.get(kw, 0.0)
-
-            if pref > 0:
-                s = emphasis(pref)
-                s = safe_div(s, len(item_vec["keywords"]))
-                score += s * KEYWORDS_WEIGHT
-
-        # 3. CAST
-        for cid in item_vec["cast"]:
-            pref = profile.cast.values.get(cid, 0.0)
-
-            if pref > 0:
-                s = emphasis(pref)
-                s = safe_div(s, len(item_vec["cast"]))
-                score += s * CAST_WEIGHT
-
-        # 4. CREW
-        for cr in item_vec["crew"]:
-            pref = profile.crew.values.get(cr, 0.0)
-
-            if pref > 0:
-                s = emphasis(pref)
-                s = safe_div(s, len(item_vec["crew"]))
-                score += s * CREW_WEIGHT
-
-        # 5. COUNTRIES
-        for c in item_vec["countries"]:
-            pref = profile.countries.values.get(c, 0.0)
-
-            if pref > 0:
-                s = emphasis(pref)
-                s = safe_div(s, len(item_vec["countries"]))
-                score += s * COUNTRIES_WEIGHT
-
-        # 6. YEAR/DECADE
-        # Reward matches on the user's preferred decades, with soft credit to adjacent decades.
-        item_year = item_vec.get("year")
-        if item_year is not None:
-            base_pref = profile.years.values.get(item_year, 0.0)
-            if base_pref > 0:
-                score += emphasis(base_pref) * YEAR_WEIGHT
-            else:
-                # Soft-match adjacent decades at half strength
-                prev_decade = item_year - 10
-                next_decade = item_year + 10
-                neighbor_pref = 0.0
-                if prev_decade in profile.years.values:
-                    neighbor_pref = max(neighbor_pref, profile.years.values.get(prev_decade, 0.0))
-                if next_decade in profile.years.values:
-                    neighbor_pref = max(neighbor_pref, profile.years.values.get(next_decade, 0.0))
-                if neighbor_pref > 0:
-                    score += emphasis(neighbor_pref) * (YEAR_WEIGHT * 0.5)
-
-        return score
+        def avg_pref(features, mapping):
+            if not features:
+                return 0.0
+            s = 0.0
+            for f in features:
+                s += mapping.get(f, 0.0)
+            return s / max(1, len(features))
+
+        g_score = avg_pref(item_vec.get("genres", []), profile.genres.values) * GENRES_WEIGHT
+        k_score = avg_pref(item_vec.get("keywords", []), profile.keywords.values) * KEYWORDS_WEIGHT
+        c_score = avg_pref(item_vec.get("cast", []), profile.cast.values) * CAST_WEIGHT
+        t_score = avg_pref(item_vec.get("topics", []), profile.topics.values) * TOPICS_WEIGHT
+        crew_score = avg_pref(item_vec.get("crew", []), profile.crew.values) * CREW_WEIGHT
+        country_score = avg_pref(item_vec.get("countries", []), profile.countries.values) * COUNTRIES_WEIGHT
+        year_val = item_vec.get("year")
+        year_score = 0.0
+        if year_val is not None:
+            year_score = profile.years.values.get(year_val, 0.0) * YEAR_WEIGHT
+
+        score = g_score + k_score + c_score + t_score + crew_score + country_score + year_score
+
+        breakdown = {
+            "genres": float(g_score),
+            "keywords": float(k_score),
+            "cast": float(c_score),
+            "topics": float(t_score),
+            "crew": float(crew_score),
+            "countries": float(country_score),
+            "year": float(year_score),
+            "total": float(score),
+        }
+
+        return float(score), breakdown
+
+    # ---------------- Super-simple overlap similarity ----------------
+    @staticmethod
+    def _jaccard(a: set, b: set) -> float:
+        if not a and not b:
+            return 0.0
+        if not a or not b:
+            return 0.0
+        inter = len(a & b)
+        union = len(a | b)
+        if union == 0:
+            return 0.0
+        return inter / union
+
+    def calculate_simple_overlap_with_breakdown(
+        self,
+        profile: UserTasteProfile,
+        item_meta: dict,
+        *,
+        top_topic_tokens: int = 300,
+        top_genres: int = 20,
+        top_keyword_ids: int = 200,
+    ) -> tuple[float, dict]:
+        """
+        Very simple, explainable similarity using plain set overlaps:
+        - Jaccard of token-level "topics" (title/overview/keyword-names tokens)
+        - Jaccard of genre ids
+        - Jaccard of TMDB keyword ids (optional, small weight)
+
+        No embeddings; robust to partial-word matching via lightweight tokenization
+        and heuristic stemming in _tokenize().
+        """
+        # Preference sets from profile (take top-N by weight to reduce noise)
+        pref_topics_sorted = sorted(profile.topics.values.items(), key=lambda kv: kv[1], reverse=True)
+        pref_topic_tokens = {k for k, _ in pref_topics_sorted[:top_topic_tokens]}
+
+        pref_genres_sorted = sorted(profile.genres.values.items(), key=lambda kv: kv[1], reverse=True)
+        pref_genres = {int(k) for k, _ in pref_genres_sorted[:top_genres]}
+
+        pref_keywords_sorted = sorted(profile.keywords.values.items(), key=lambda kv: kv[1], reverse=True)
+        pref_keyword_ids = {int(k) for k, _ in pref_keywords_sorted[:top_keyword_ids]}
+
+        # Item sets
+        vec = self._vectorize_item(item_meta)
+        item_topic_tokens = set(vec.get("topics") or [])
+        item_genres = {int(g) for g in (vec.get("genres") or [])}
+        item_keyword_ids = {int(k) for k in (vec.get("keywords") or [])}
+
+        # Jaccard components
+        topics_j = self._jaccard(item_topic_tokens, pref_topic_tokens)
+        genres_j = self._jaccard(item_genres, pref_genres)
+        kw_j = self._jaccard(item_keyword_ids, pref_keyword_ids)
+
+        # Simple weighted sum; emphasize token overlap
+        w_topics, w_genres, w_kw = 0.6, 0.25, 0.15
+        score = (topics_j * w_topics) + (genres_j * w_genres) + (kw_j * w_kw)
+
+        breakdown = {
+            "topics_jaccard": float(topics_j),
+            "genres_jaccard": float(genres_j),
+            "keywords_jaccard": float(kw_j),
+            "total": float(score),
+        }
+
+        return float(score), breakdown
 
     def _vectorize_item(self, meta: dict) -> dict[str, list[int] | int | list[str] | None]:
         """
@@ -206,13 +271,32 @@ def _vectorize_item(self, meta: dict) -> dict[str, list[int] | int | list[str] |
         elif "origin_country" in meta:
             countries = meta.get("origin_country", [])
 
+        # genres: prefer explicit genre_ids; fallback to dict list if present
+        genre_ids = meta.get("genre_ids") or []
+        if not genre_ids:
+            genres_src = meta.get("genres") or []
+            if genres_src and isinstance(genres_src, list) and genres_src and isinstance(genres_src[0], dict):
+                genre_ids = [g.get("id") for g in genres_src if isinstance(g, dict) and g.get("id") is not None]
+
+        # Build topics tokens from title/overview and keyword names
+        # Handle both our enriched meta format and raw TMDB payloads
+        title_text = meta.get("name") or meta.get("title") or meta.get("original_title") or ""
+        overview_text = meta.get("description") or meta.get("overview") or ""
+        kw_names = [k.get("name") for k in keywords if isinstance(k, dict) and k.get("name")]
+        topics_tokens: list[str] = []
+        topics_tokens.extend(self._tokenize(title_text))
+        topics_tokens.extend(self._tokenize(overview_text))
+        for nm in kw_names:
+            topics_tokens.extend(self._tokenize(nm))
+
         vector = {
-            "genres": [g["id"] for g in meta.get("genres", [])],
+            "genres": genre_ids,
             "keywords": [k["id"] for k in keywords],
             "cast": [],
             "crew": [],
             "year": None,
             "countries": countries,
+            "topics": topics_tokens,
         }
 
         # Cast (Top 3 only to reduce noise)
@@ -254,6 +338,7 @@ def _merge_vector(
             "crew": CREW_WEIGHT,
             "year": YEAR_WEIGHT,
             "countries": COUNTRIES_WEIGHT,
+            "topics": TOPICS_WEIGHT,
         }
 
         for dim, ids in item_vector.items():
@@ -269,6 +354,93 @@ def _merge_vector(
                         continue
                     profile[dim][feature_id] += final_weight
 
+    # ---------------- Tokenization helpers ----------------
+    _STOPWORDS = {
+        "a",
+        "an",
+        "and",
+        "the",
+        "of",
+        "to",
+        "in",
+        "on",
+        "for",
+        "with",
+        "by",
+        "from",
+        "at",
+        "as",
+        "is",
+        "it",
+        "this",
+        "that",
+        "be",
+        "or",
+        "are",
+        "was",
+        "were",
+        "has",
+        "have",
+        "had",
+        "into",
+        "their",
+        "his",
+        "her",
+        "its",
+        "but",
+        "not",
+        "no",
+        "so",
+        "about",
+        "over",
+        "under",
+        "after",
+        "before",
+        "than",
+        "then",
+        "out",
+        "up",
+        "down",
+        "off",
+        "only",
+        "more",
+        "most",
+        "some",
+        "any",
+    }
+
+    @staticmethod
+    def _normalize_token(tok: str) -> str:
+        t = tok.lower()
+        t = "".join(ch for ch in t if ch.isalnum())
+        if len(t) <= 2:
+            return ""
+        for suf in ("ing", "ers", "ies", "ment", "tion", "s", "ed"):
+            if t.endswith(suf) and len(t) - len(suf) >= 3:
+                t = t[: -len(suf)]
+                break
+        return t
+
+    def _tokenize(self, text: str) -> list[str]:
+        if not text:
+            return []
+        raw = text.replace("-", " ").replace("_", " ")
+        tokens = []
+        for part in raw.split():
+            t = self._normalize_token(part)
+            if not t or t in self._STOPWORDS:
+                continue
+            tokens.append(t)
+        # de-duplicate while preserving order
+        seen = set()
+        dedup = []
+        for t in tokens:
+            if t in seen:
+                continue
+            seen.add(t)
+            dedup.append(t)
+        return dedup
+
     async def _fetch_full_metadata(self, tmdb_id: int, type_: str) -> dict | None:
         """Helper to fetch deep metadata."""
         try:
diff --git a/app/startup/migration.py b/app/startup/migration.py
index 432df02..39f46d9 100644
--- a/app/startup/migration.py
+++ b/app/startup/migration.py
@@ -6,11 +6,10 @@
 import httpx
 import redis.asyncio as redis
 from cryptography.fernet import Fernet
-from cryptography.hazmat.primitives import hashes
-from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
 from loguru import logger
 
 from app.core.config import settings
+from app.services.token_store import token_store
 
 
 def decrypt_data(enc_json: str):
@@ -117,18 +116,9 @@ async def decode_old_payloads(encrypted_raw: str):
     return payload
 
 
-def encrypt_auth_key(auth_key):
-    salt = b"x7FDf9kypzQ1LmR32b8hWv49sKq2Pd8T"
-    kdf = PBKDF2HMAC(
-        algorithm=hashes.SHA256(),
-        length=32,
-        salt=salt,
-        iterations=200_000,
-    )
-
-    key = base64.urlsafe_b64encode(kdf.derive(settings.TOKEN_SALT.encode("utf-8")))
-    client = Fernet(key)
-    return client.encrypt(auth_key.encode("utf-8")).decode("utf-8")
+def encrypt_auth_key(auth_key: str) -> str:
+    # Delegate to TokenStore to keep encryption consistent everywhere
+    return token_store.encrypt_token(auth_key)
 
 
 def prepare_default_payload(email, user_id):
@@ -157,7 +147,7 @@ async def store_payload(client: redis.Redis, email: str, user_id: str, auth_key:
         # encrypt auth_key
         if auth_key:
             payload["authKey"] = encrypt_auth_key(auth_key)
-        key = user_id.strip()
+        key = f"{settings.REDIS_TOKEN_KEY}{user_id.strip()}"
         await client.set(key, json.dumps(payload))
     except (redis.RedisError, OSError) as exc:
         logger.warning(f"Failed to store payload for {key}: {exc}")
@@ -200,7 +190,7 @@ async def process_migration_key(redis_client: redis.Redis, key: str) -> bool:
         if auth_key:
             new_payload["authKey"] = encrypt_auth_key(auth_key)
 
-        new_key = user_id.strip()
+        new_key = f"{settings.REDIS_TOKEN_KEY}{user_id.strip()}"
         payload_json = json.dumps(new_payload)
 
         if settings.TOKEN_TTL_SECONDS and settings.TOKEN_TTL_SECONDS > 0:
@@ -233,7 +223,7 @@ async def migrate_tokens():
     failed_tokens = 0
     success_tokens = 0
     try:
-        redis_client = redis.from_url(settings.REDIS_URL, decode_responses=True, encoding="utf-8")
+        redis_client = await token_store._get_client()
     except (redis.RedisError, OSError) as exc:
         logger.warning(f"Failed to connect to Redis: {exc}")
         return

From 538240834267da29cb21ddda55a60e387b9993f7 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Sun, 14 Dec 2025 16:15:39 +0545
Subject: [PATCH 06/11] feat: Enhance Redis client management and implement
 rate limiting for token requests

---
 app/api/endpoints/health.py     |  28 +++++++++
 app/core/app.py                 |  36 +++++++++++
 app/core/config.py              |   6 ++
 app/core/version.py             |   2 +-
 app/services/catalog_updater.py |  15 +++++
 app/services/token_store.py     | 102 +++++++++++++++++++++++++++-----
 6 files changed, 172 insertions(+), 17 deletions(-)

diff --git a/app/api/endpoints/health.py b/app/api/endpoints/health.py
index 0e339e9..71317fa 100644
--- a/app/api/endpoints/health.py
+++ b/app/api/endpoints/health.py
@@ -1,4 +1,7 @@
 from fastapi import APIRouter
+from loguru import logger
+
+from app.services.token_store import token_store
 
 router = APIRouter(tags=["health"])
 
@@ -6,3 +9,28 @@
 @router.get("/health", summary="Simple readiness probe")
 async def health_check() -> dict[str, str]:
     return {"status": "ok"}
+
+
+@router.get("/metrics", summary="Runtime metrics (lightweight)")
+async def metrics() -> dict:
+    """Return lightweight runtime metrics useful for diagnosing Redis connection growth."""
+    try:
+        client = await token_store._get_client()
+    except Exception as exc:
+        logger.warning(f"Failed to fetch Redis client for metrics: {exc}")
+        return {"redis": "unavailable"}
+
+    metrics: dict = {}
+    try:
+        info = await client.info(section="clients")
+        metrics["redis_connected_clients"] = int(info.get("connected_clients", 0))
+    except Exception as exc:
+        logger.warning(f"Failed to read Redis INFO clients: {exc}")
+        metrics["redis_connected_clients"] = "error"
+
+    try:
+        metrics["per_request_redis_calls_last"] = token_store.get_call_count()
+    except Exception:
+        metrics["per_request_redis_calls_last"] = "error"
+
+    return metrics
diff --git a/app/core/app.py b/app/core/app.py
index 7885fd3..0d65e7a 100644
--- a/app/core/app.py
+++ b/app/core/app.py
@@ -3,6 +3,7 @@
 from contextlib import asynccontextmanager
 from pathlib import Path
 
+from cachetools import TTLCache
 from fastapi import FastAPI, Request
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import HTMLResponse
@@ -61,6 +62,12 @@ def _on_done(t: asyncio.Task):
         await catalog_updater.stop()
         catalog_updater = None
         logger.info("Background catalog updates stopped")
+    # Close shared token store Redis client
+    try:
+        await token_store.close()
+        logger.info("TokenStore Redis client closed")
+    except Exception as exc:
+        logger.warning(f"Failed to close TokenStore Redis client: {exc}")
 
 
 if settings.APP_ENV != "development":
@@ -73,6 +80,8 @@ def _on_done(t: asyncio.Task):
     description="Stremio catalog addon for movie and series recommendations",
     version=__version__,
     lifespan=lifespan,
+    docs_url=None if settings.APP_ENV != "development" else "/docs",
+    redoc_url=None if settings.APP_ENV != "development" else "/redoc",
 )
 
 app.add_middleware(
@@ -84,6 +93,33 @@ def _on_done(t: asyncio.Task):
 )
 
 
+# Simple IP-based rate limiter for repeated probes of missing tokens.
+# Tracks recent failure counts per IP to avoid expensive repeated requests.
+_ip_failure_cache: TTLCache = TTLCache(maxsize=10000, ttl=600)
+_IP_FAILURE_THRESHOLD = 8
+
+
+@app.middleware("http")
+async def block_missing_token_middleware(request: Request, call_next):
+    # Extract first path segment which is commonly the token in addon routes
+    path = request.url.path.lstrip("/")
+    seg = path.split("/", 1)[0] if path else ""
+    try:
+        # If token is known-missing, short-circuit and track IP failures
+        if seg and seg in token_store._missing_tokens:
+            ip = request.client.host if request.client else "unknown"
+            try:
+                _ip_failure_cache[ip] = _ip_failure_cache.get(ip, 0) + 1
+            except Exception:
+                pass
+            if _ip_failure_cache.get(ip, 0) > _IP_FAILURE_THRESHOLD:
+                return HTMLResponse(content="Too many requests", status_code=429)
+            return HTMLResponse(content="Invalid token", status_code=401)
+    except Exception:
+        pass
+    return await call_next(request)
+
+
 # Middleware to track per-request Redis calls and attach as response header for diagnostics
 @app.middleware("http")
 async def redis_calls_middleware(request: Request, call_next):
diff --git a/app/core/config.py b/app/core/config.py
index 7996a39..85d9281 100644
--- a/app/core/config.py
+++ b/app/core/config.py
@@ -20,6 +20,12 @@ class Settings(BaseSettings):
     ADDON_ID: str = "com.bimal.watchly"
     ADDON_NAME: str = "Watchly"
     REDIS_URL: str = "redis://redis:6379/0"
+    # Maximum number of connections Redis client will open per process
+    # Set conservatively to avoid unbounded connection growth under high concurrency
+    REDIS_MAX_CONNECTIONS: int = 20
+    # If total connected clients reported by Redis exceeds this, background
+    # Redis-heavy jobs will back off. Tune according to your Redis capacity.
+    REDIS_CONNECTIONS_THRESHOLD: int = 100
     REDIS_TOKEN_KEY: str = "watchly:token:"
     TOKEN_SALT: str = "change-me"
     TOKEN_TTL_SECONDS: int = 0  # 0 = never expire
diff --git a/app/core/version.py b/app/core/version.py
index 6849410..a82b376 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.1.0"
+__version__ = "1.1.1"
diff --git a/app/services/catalog_updater.py b/app/services/catalog_updater.py
index 0a1af73..b925d75 100644
--- a/app/services/catalog_updater.py
+++ b/app/services/catalog_updater.py
@@ -143,6 +143,21 @@ async def _update_safe(key: str, payload: dict[str, Any]) -> None:
                     logger.error(f"Background refresh failed for {redact_token(key)}: {exc}", exc_info=True)
 
         try:
+            # Check Redis connected clients and back off if overloaded
+            try:
+                client = await token_store._get_client()
+                info = await client.info(section="clients")
+                connected = int(info.get("connected_clients", 0))
+                threshold = getattr(settings, "REDIS_CONNECTIONS_THRESHOLD", 1000)
+                if connected > threshold:
+                    logger.warning(
+                        f"Redis connected clients {connected} exceed threshold {threshold}; skipping"
+                        "background refresh."
+                    )
+                    return
+            except Exception as exc:
+                logger.warning(f"Failed to check Redis client info before refresh: {exc}")
+
             async for key, payload in token_store.iter_payloads():
                 # Extract token from redis key prefix
                 prefix = token_store.KEY_PREFIX
diff --git a/app/services/token_store.py b/app/services/token_store.py
index 918af2c..5650580 100644
--- a/app/services/token_store.py
+++ b/app/services/token_store.py
@@ -5,6 +5,7 @@
 from typing import Any
 
 import redis.asyncio as redis
+from async_lru import alru_cache
 from cachetools import TTLCache
 from cryptography.fernet import Fernet, InvalidToken
 from cryptography.hazmat.primitives import hashes
@@ -22,9 +23,9 @@ class TokenStore:
 
     def __init__(self) -> None:
         self._client: redis.Redis | None = None
-        # Cache decrypted payloads for 1 day (86400s) to reduce Redis hits
-        # Max size 5000 allows many active users without eviction
-        self._payload_cache: TTLCache = TTLCache(maxsize=5000, ttl=86400)
+        # Negative cache for missing tokens to avoid repeated Redis GETs
+        # when external probes request non-existent tokens.
+        self._missing_tokens: TTLCache = TTLCache(maxsize=10000, ttl=3600)
         # per-request redis call counter (context-local)
         self._redis_calls_var: contextvars.ContextVar[int] = contextvars.ContextVar("watchly_redis_calls", default=0)
 
@@ -66,15 +67,59 @@ def decrypt_token(self, enc: str) -> str:
     async def _get_client(self) -> redis.Redis:
         if self._client is None:
             # Add socket timeouts to avoid hanging on Redis operations
+            import traceback
+
+            logger.info("Creating shared Redis client")
+            # Limit the number of pooled connections to avoid unbounded growth
+            # `max_connections` is forwarded to ConnectionPool.from_url
             self._client = redis.from_url(
                 settings.REDIS_URL,
                 decode_responses=True,
                 encoding="utf-8",
                 socket_connect_timeout=5,
                 socket_timeout=5,
+                max_connections=getattr(settings, "REDIS_MAX_CONNECTIONS", 100),
+                health_check_interval=30,
+                socket_keepalive=True,
             )
+            # If _get_client is called multiple times in different contexts it
+            # could indicate multiple processes/threads or a bug opening
+            # additional clients; log a stacktrace for debugging.
+            if getattr(self, "_creation_count", None) is None:
+                self._creation_count = 1
+            else:
+                self._creation_count += 1
+                logger.warning(
+                    f"Redis client creation invoked again (count={self._creation_count})."
+                    f" Stack:\n{''.join(traceback.format_stack())}"
+                )
         return self._client
 
+    async def close(self) -> None:
+        """Close and disconnect the shared Redis client (call on shutdown)."""
+        if self._client is None:
+            return
+        try:
+            logger.info("Closing shared Redis client")
+            # Close client and disconnect underlying pool
+            try:
+                await self._client.close()
+            except Exception:
+                pass
+            try:
+                pool = getattr(self._client, "connection_pool", None)
+                if pool is not None:
+                    # connection_pool.disconnect may be a coroutine in some redis implementations
+                    disconnect = getattr(pool, "disconnect", None)
+                    if disconnect:
+                        res = disconnect()
+                        if hasattr(res, "__await__"):
+                            await res
+            except Exception:
+                pass
+        finally:
+            self._client = None
+
     def _format_key(self, token: str) -> str:
         """Format Redis key from token."""
         return f"{self.KEY_PREFIX}{token}"
@@ -109,30 +154,49 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
             self._incr_calls()
             await client.set(key, json_str)
 
-        # Update cache with the payload
-        self._payload_cache[token] = payload
+        # Invalidate async LRU cached reads so future reads use the updated payload
+        try:
+            self.get_user_data.cache_clear()
+        except Exception:
+            pass
+
+        # Ensure we remove from negative cache so new value is read next time
+        try:
+            if token in self._missing_tokens:
+                del self._missing_tokens[token]
+        except Exception:
+            pass
 
         return token
 
+    @alru_cache(maxsize=5000)
     async def get_user_data(self, token: str) -> dict[str, Any] | None:
-        if token in self._payload_cache:
-            logger.info(f"[REDIS] Using cached redis data {token}")
-            return self._payload_cache[token]
-        logger.info(f"[REDIS]Caching Failed. Fetching data from redis for {token}")
+        # Short-circuit for tokens known to be missing
+        try:
+            if token in self._missing_tokens:
+                logger.debug(f"[REDIS] Negative cache hit for missing token {token}")
+                return None
+        except Exception:
+            pass
 
+        logger.debug(f"[REDIS] Cache miss. Fetching data from redis for {token}")
         key = self._format_key(token)
         client = await self._get_client()
         self._incr_calls()
         data_raw = await client.get(key)
 
         if not data_raw:
+            # remember negative result briefly
+            try:
+                self._missing_tokens[token] = True
+            except Exception:
+                pass
             return None
 
         try:
             data = json.loads(data_raw)
             if data.get("authKey"):
                 data["authKey"] = self.decrypt_token(data["authKey"])
-            self._payload_cache[token] = data
             return data
         except (json.JSONDecodeError, InvalidToken):
             return None
@@ -147,9 +211,17 @@ async def delete_token(self, token: str = None, key: str = None) -> None:
         self._incr_calls()
         await client.delete(key)
 
-        # Invalidate local cache
-        if token and token in self._payload_cache:
-            del self._payload_cache[token]
+        # Invalidate async LRU cached reads
+        try:
+            self.get_user_data.cache_clear()
+        except Exception:
+            pass
+        # Remove from negative cache as token is deleted
+        try:
+            if token and token in self._missing_tokens:
+                del self._missing_tokens[token]
+        except Exception:
+            pass
 
     async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str, dict[str, Any]]]:
         try:
@@ -185,9 +257,8 @@ async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str,
                                 payload["authKey"] = self.decrypt_token(payload["authKey"])
                         except Exception:
                             pass
-                        # Update L1 cache (token only)
+                        # Token payload ready for consumer
                         tok = k[len(self.KEY_PREFIX) :] if k.startswith(self.KEY_PREFIX) else k  # noqa
-                        self._payload_cache[tok] = payload
                         yield k, payload
                     buffer.clear()
 
@@ -213,7 +284,6 @@ async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str,
                     except Exception:
                         pass
                     tok = k[len(self.KEY_PREFIX) :] if k.startswith(self.KEY_PREFIX) else k  # noqa
-                    self._payload_cache[tok] = payload
                     yield k, payload
         except (redis.RedisError, OSError) as exc:
             logger.warning(f"Failed to scan credential tokens: {exc}")

From bd5c55818174307ecc4fbe6a3157ab58556c314e Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Sun, 14 Dec 2025 21:15:19 +0545
Subject: [PATCH 07/11] feat: Refactor catalog fetching and update migration
 task handling

---
 app/api/endpoints/health.py     | 28 --------------------
 app/api/endpoints/manifest.py   | 34 +++++++-----------------
 app/core/app.py                 | 34 +++++++-----------------
 app/core/config.py              |  5 +---
 app/services/stremio_service.py | 10 +------
 app/services/token_store.py     | 47 ++-------------------------------
 6 files changed, 24 insertions(+), 134 deletions(-)

diff --git a/app/api/endpoints/health.py b/app/api/endpoints/health.py
index 71317fa..0e339e9 100644
--- a/app/api/endpoints/health.py
+++ b/app/api/endpoints/health.py
@@ -1,7 +1,4 @@
 from fastapi import APIRouter
-from loguru import logger
-
-from app.services.token_store import token_store
 
 router = APIRouter(tags=["health"])
 
@@ -9,28 +6,3 @@
 @router.get("/health", summary="Simple readiness probe")
 async def health_check() -> dict[str, str]:
     return {"status": "ok"}
-
-
-@router.get("/metrics", summary="Runtime metrics (lightweight)")
-async def metrics() -> dict:
-    """Return lightweight runtime metrics useful for diagnosing Redis connection growth."""
-    try:
-        client = await token_store._get_client()
-    except Exception as exc:
-        logger.warning(f"Failed to fetch Redis client for metrics: {exc}")
-        return {"redis": "unavailable"}
-
-    metrics: dict = {}
-    try:
-        info = await client.info(section="clients")
-        metrics["redis_connected_clients"] = int(info.get("connected_clients", 0))
-    except Exception as exc:
-        logger.warning(f"Failed to read Redis INFO clients: {exc}")
-        metrics["redis_connected_clients"] = "error"
-
-    try:
-        metrics["per_request_redis_calls_last"] = token_store.get_call_count()
-    except Exception:
-        metrics["per_request_redis_calls_last"] = "error"
-
-    return metrics
diff --git a/app/api/endpoints/manifest.py b/app/api/endpoints/manifest.py
index bf1c7bf..a715015 100644
--- a/app/api/endpoints/manifest.py
+++ b/app/api/endpoints/manifest.py
@@ -1,4 +1,3 @@
-from async_lru import alru_cache
 from fastapi import HTTPException, Response
 from fastapi.routing import APIRouter
 
@@ -55,29 +54,14 @@ def get_base_manifest(user_settings: UserSettings | None = None):
     }
 
 
-# Cache catalog definitions for 1 hour (3600s)
-@alru_cache(maxsize=1000, ttl=3600)
-async def fetch_catalogs(token: str):
-    credentials = await token_store.get_user_data(token)
-    if not credentials:
-        raise HTTPException(status_code=401, detail="Invalid or expired token. Please reconfigure the addon.")
-
-    if credentials.get("settings"):
-        user_settings = UserSettings(**credentials["settings"])
-    else:
-        user_settings = get_default_settings()
-
-    stremio_service = StremioService(auth_key=credentials.get("authKey"))
-
-    # Note: get_library_items is expensive, but we need it to determine *which* genre catalogs to show.
+async def build_dynamic_catalogs(stremio_service: StremioService, user_settings: UserSettings) -> list[dict]:
+    # Note: get_library_items is the heavy call; StremioService has its own short cache.
     library_items = await stremio_service.get_library_items()
-    dynamic_catalog_service = DynamicCatalogService(stremio_service=stremio_service, language=user_settings.language)
-
-    # Base catalogs are already in manifest, these are *extra* dynamic ones
-    # Pass user_settings to filter/rename
-    catalogs = await dynamic_catalog_service.get_dynamic_catalogs(library_items, user_settings)
-
-    return catalogs
+    dynamic_catalog_service = DynamicCatalogService(
+        stremio_service=stremio_service,
+        language=user_settings.language,
+    )
+    return await dynamic_catalog_service.get_dynamic_catalogs(library_items, user_settings)
 
 
 def get_config_id(catalog) -> str | None:
@@ -111,7 +95,9 @@ async def _manifest_handler(response: Response, token: str):
 
     base_manifest = get_base_manifest(user_settings)
 
-    fetched_catalogs = await fetch_catalogs(token)
+    # Build dynamic catalogs using the already-fetched credentials
+    stremio_service = StremioService(auth_key=creds.get("authKey"))
+    fetched_catalogs = await build_dynamic_catalogs(stremio_service, user_settings or get_default_settings())
 
     all_catalogs = [c.copy() for c in base_manifest["catalogs"]] + [c.copy() for c in fetched_catalogs]
 
diff --git a/app/core/app.py b/app/core/app.py
index 0d65e7a..11270b6 100644
--- a/app/core/app.py
+++ b/app/core/app.py
@@ -40,16 +40,18 @@ async def lifespan(app: FastAPI):
     Manage application lifespan events (startup/shutdown).
     """
     global catalog_updater
-    task = asyncio.create_task(migrate_tokens())
 
-    # Ensure background exceptions are surfaced in logs
-    def _on_done(t: asyncio.Task):
-        try:
-            t.result()
-        except Exception as exc:
-            logger.error(f"migrate_tokens background task failed: {exc}")
+    if settings.HOST_NAME.lower() != "https://1ccea4301587-watchly.baby-beamup.club":
+        task = asyncio.create_task(migrate_tokens())
 
-    task.add_done_callback(_on_done)
+        # Ensure background exceptions are surfaced in logs
+        def _on_done(t: asyncio.Task):
+            try:
+                t.result()
+            except Exception as exc:
+                logger.error(f"migrate_tokens background task failed: {exc}")
+
+        task.add_done_callback(_on_done)
 
     # Startup
     if settings.AUTO_UPDATE_CATALOGS:
@@ -120,22 +122,6 @@ async def block_missing_token_middleware(request: Request, call_next):
     return await call_next(request)
 
 
-# Middleware to track per-request Redis calls and attach as response header for diagnostics
-@app.middleware("http")
-async def redis_calls_middleware(request: Request, call_next):
-    try:
-        token_store.reset_call_counter()
-    except Exception:
-        pass
-    response = await call_next(request)
-    try:
-        count = token_store.get_call_count()
-        response.headers["X-Redis-Calls"] = str(count)
-    except Exception:
-        pass
-    return response
-
-
 # Serve static files
 # Static directory is at project root (3 levels up from app/core/app.py)
 # app/core/app.py -> app/core -> app -> root
diff --git a/app/core/config.py b/app/core/config.py
index 85d9281..ebd4b85 100644
--- a/app/core/config.py
+++ b/app/core/config.py
@@ -32,10 +32,7 @@ class Settings(BaseSettings):
     ANNOUNCEMENT_HTML: str = ""
     AUTO_UPDATE_CATALOGS: bool = True
     CATALOG_UPDATE_MODE: Literal["cron", "interval"] = "cron"  # "cron" for fixed times, "interval" for periodic
-    CATALOG_UPDATE_CRON_SCHEDULES: list[dict] = (
-        {"hour": 12, "minute": 0, "id": "catalog_refresh_noon"},
-        {"hour": 0, "minute": 0, "id": "catalog_refresh_midnight"},
-    )
+    CATALOG_UPDATE_CRON_SCHEDULES: list[dict] = ({"hour": 0, "minute": 0, "id": "catalog_refresh_midnight"},)
     CATALOG_REFRESH_INTERVAL_SECONDS: int = 6 * 60 * 60  # 6 hours (used when CATALOG_UPDATE_MODE="interval")
     APP_ENV: Literal["development", "production", "vercel"] = "development"
     HOST_NAME: str = "https://1ccea4301587-watchly.baby-beamup.club"
diff --git a/app/services/stremio_service.py b/app/services/stremio_service.py
index c21719e..f1f39c6 100644
--- a/app/services/stremio_service.py
+++ b/app/services/stremio_service.py
@@ -215,15 +215,11 @@ async def get_user_email(self) -> str:
         user_info = await self.get_user_info()
         return user_info.get("email", "")
 
-    async def get_library_items(self, use_cache: bool = True, cache_ttl_seconds: int = 30) -> dict[str, list[dict]]:
+    async def get_library_items(self) -> dict[str, list[dict]]:
         """
         Fetch library items from Stremio once and return both watched and loved items.
         Returns a dict with 'watched' and 'loved' keys.
         """
-        import time
-
-        if use_cache and self._library_cache and time.time() < self._library_cache_expiry:
-            return self._library_cache
 
         if not self._auth_key:
             logger.warning("Stremio auth key not configured")
@@ -333,10 +329,6 @@ def _sort_key(x: dict):
                 "added": added_items,
                 "removed": removed_items,
             }
-            # cache
-            if use_cache and cache_ttl_seconds > 0:
-                self._library_cache = result
-                self._library_cache_expiry = time.time() + cache_ttl_seconds
             return result
         except Exception as e:
             logger.error(f"Error fetching library items: {e}", exc_info=True)
diff --git a/app/services/token_store.py b/app/services/token_store.py
index 5650580..77946fb 100644
--- a/app/services/token_store.py
+++ b/app/services/token_store.py
@@ -1,5 +1,4 @@
 import base64
-import contextvars
 import json
 from collections.abc import AsyncIterator
 from typing import Any
@@ -25,10 +24,7 @@ def __init__(self) -> None:
         self._client: redis.Redis | None = None
         # Negative cache for missing tokens to avoid repeated Redis GETs
         # when external probes request non-existent tokens.
-        self._missing_tokens: TTLCache = TTLCache(maxsize=10000, ttl=3600)
-        # per-request redis call counter (context-local)
-        self._redis_calls_var: contextvars.ContextVar[int] = contextvars.ContextVar("watchly_redis_calls", default=0)
-
+        self._missing_tokens: TTLCache = TTLCache(maxsize=10000, ttl=86400)
         if not settings.REDIS_URL:
             logger.warning("REDIS_URL is not set. Token storage will fail until a Redis instance is configured.")
 
@@ -82,9 +78,6 @@ async def _get_client(self) -> redis.Redis:
                 health_check_interval=30,
                 socket_keepalive=True,
             )
-            # If _get_client is called multiple times in different contexts it
-            # could indicate multiple processes/threads or a bug opening
-            # additional clients; log a stacktrace for debugging.
             if getattr(self, "_creation_count", None) is None:
                 self._creation_count = 1
             else:
@@ -148,18 +141,10 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
         json_str = json.dumps(storage_data)
 
         if settings.TOKEN_TTL_SECONDS and settings.TOKEN_TTL_SECONDS > 0:
-            self._incr_calls()
             await client.setex(key, settings.TOKEN_TTL_SECONDS, json_str)
         else:
-            self._incr_calls()
             await client.set(key, json_str)
 
-        # Invalidate async LRU cached reads so future reads use the updated payload
-        try:
-            self.get_user_data.cache_clear()
-        except Exception:
-            pass
-
         # Ensure we remove from negative cache so new value is read next time
         try:
             if token in self._missing_tokens:
@@ -169,7 +154,7 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
 
         return token
 
-    @alru_cache(maxsize=5000)
+    @alru_cache(maxsize=10000, ttl=43200)
     async def get_user_data(self, token: str) -> dict[str, Any] | None:
         # Short-circuit for tokens known to be missing
         try:
@@ -182,7 +167,6 @@ async def get_user_data(self, token: str) -> dict[str, Any] | None:
         logger.debug(f"[REDIS] Cache miss. Fetching data from redis for {token}")
         key = self._format_key(token)
         client = await self._get_client()
-        self._incr_calls()
         data_raw = await client.get(key)
 
         if not data_raw:
@@ -208,14 +192,8 @@ async def delete_token(self, token: str = None, key: str = None) -> None:
             key = self._format_key(token)
 
         client = await self._get_client()
-        self._incr_calls()
         await client.delete(key)
 
-        # Invalidate async LRU cached reads
-        try:
-            self.get_user_data.cache_clear()
-        except Exception:
-            pass
         # Remove from negative cache as token is deleted
         try:
             if token and token in self._missing_tokens:
@@ -265,7 +243,6 @@ async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str,
             # Flush remainder
             if buffer:
                 try:
-                    self._incr_calls()
                     values = await client.mget(buffer)
                 except (redis.RedisError, OSError) as exc:
                     logger.warning(f"Failed batch fetch for {len(buffer)} keys: {exc}")
@@ -288,25 +265,5 @@ async def iter_payloads(self, batch_size: int = 200) -> AsyncIterator[tuple[str,
         except (redis.RedisError, OSError) as exc:
             logger.warning(f"Failed to scan credential tokens: {exc}")
 
-    # ---- Diagnostics ----
-    def _incr_calls(self) -> None:
-        try:
-            current = self._redis_calls_var.get()
-            self._redis_calls_var.set(current + 1)
-        except Exception:
-            pass
-
-    def reset_call_counter(self) -> None:
-        try:
-            self._redis_calls_var.set(0)
-        except Exception:
-            pass
-
-    def get_call_count(self) -> int:
-        try:
-            return int(self._redis_calls_var.get())
-        except Exception:
-            return 0
-
 
 token_store = TokenStore()

From 5786d2491c17c513490b6a746080bc2f2e986bd4 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Sun, 14 Dec 2025 21:16:55 +0545
Subject: [PATCH 08/11] chore: bump version to v1.1.2

---
 app/core/version.py | 2 +-
 pyproject.toml      | 4 ++--
 setup.cfg           | 4 ++--
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/app/core/version.py b/app/core/version.py
index a82b376..72f26f5 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.1.1"
+__version__ = "1.1.2"
diff --git a/pyproject.toml b/pyproject.toml
index 2632128..246eeca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,11 +34,11 @@ dev = [
 
 # ==== black ====
 [tool.black]
-line-length = 119
+line-length = 120
 target-version = ['py311']
 
 
 # ==== isort ====
 [tool.isort]
 profile = "black"
-line_length = 119
+line_length = 120
diff --git a/setup.cfg b/setup.cfg
index f3903ce..5319a00 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -2,10 +2,10 @@
 # https://github.com/PyCQA/flake8/issues/234
 # https://github.com/PyCQA/pycodestyle/issues/813
 [flake8]
-max-line-length = 119
+max-line-length = 120
 exclude = .tox,.git,*/migrations/*,*/static/CACHE/*,docs,node_modules,venv,.venv
 per-file-ignores = __init__.py:F401
 
 [pycodestyle]
-max-line-length = 119
+max-line-length = 120
 exclude = .tox,.git,*/migrations/*,*/static/CACHE/*,docs,node_modules,venv,.venv

From f3762c9ef27036f6dc5ddacf9f7d406584d71a46 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Mon, 15 Dec 2025 12:21:05 +0545
Subject: [PATCH 09/11] style: new logo and logo themed ui changes

---
 app/core/version.py   |   2 +-
 app/static/index.html | 149 ++++++++++++++++++++++++------------------
 app/static/logo.png   | Bin 608165 -> 53835 bytes
 app/static/script.js  |  31 ++++-----
 4 files changed, 102 insertions(+), 80 deletions(-)

diff --git a/app/core/version.py b/app/core/version.py
index 72f26f5..0b2f79d 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.1.2"
+__version__ = "1.1.3"
diff --git a/app/static/index.html b/app/static/index.html
index bb7f844..2d4b4f1 100644
--- a/app/static/index.html
+++ b/app/static/index.html
@@ -19,7 +19,8 @@
                         slate: {
                             850: '#151f32',
                             900: '#0f172a',
-                            950: '#020617',
+                            950: '#020617'
+                        },
                         },
                         stremio: {
                             DEFAULT: '#3b2667',
@@ -42,8 +43,16 @@
     </script>
     <style>
         body {
-            background-color: #020617;
-            background-image: radial-gradient(circle at 50% 0%, rgba(30, 58, 138, 0.15), transparent 50%);
+            /* Modern layered dark background: subtle vignette + ultra-faint grid */
+            background-color: #0c0d10;
+            background-image:
+                radial-gradient(1200px 600px at 50% -10%, rgba(255,255,255,0.05), transparent 60%),
+                radial-gradient(800px 400px at 85% -5%, rgba(255,255,255,0.03), transparent 60%),
+                radial-gradient(600px 300px at 10% -5%, rgba(255,255,255,0.025), transparent 60%),
+                linear-gradient(to bottom, rgba(255,255,255,0.02), transparent 200px),
+                repeating-linear-gradient(90deg, rgba(255,255,255,0.015) 0, rgba(255,255,255,0.015) 1px, transparent 1px, transparent 24px),
+                repeating-linear-gradient(0deg, rgba(255,255,255,0.012) 0, rgba(255,255,255,0.012) 1px, transparent 1px, transparent 24px);
+            background-blend-mode: screen, screen, screen, normal, normal, normal;
         }
 
         /* Custom scrollbar */
@@ -65,17 +74,16 @@
         }
 
         .nav-item.active {
-            @apply bg-blue-600/10 text-blue-400 border-l-2 border-blue-400;
+            @apply bg-white/10 text-white border-l-2 border-white;
         }
 
         .nav-item.disabled {
             @apply opacity-50 cursor-not-allowed pointer-events-none;
         }
 
-        /* Announcement link styling to ensure visibility */
+        /* Announcement link styling to ensure visibility (neutral theme) */
         #announcement-content a {
-            color: #60a5fa;
-            /* blue-400 */
+            color: #e5e7eb; /* slate-200 */
             text-decoration: underline;
         }
 
@@ -89,13 +97,13 @@
 <body class="min-h-screen text-slate-200 font-sans antialiased overflow-hidden flex flex-col md:flex-row">
 
     <!-- Mobile Header -->
-    <div class="md:hidden p-4 bg-slate-900 border-b border-slate-800 flex items-center gap-3">
+    <div class="md:hidden p-4 bg-neutral-950 border-b border-slate-800 flex items-center gap-3">
         <button id="mobileNavToggle" aria-label="Open navigation" class="p-2 rounded-md hover:bg-slate-800/50">
             <svg class="w-6 h-6 text-slate-200" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                 <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 6h16M4 12h16M4 18h16"></path>
             </svg>
         </button>
-        <img src="/app/static/logo.png" alt="Watchly" class="w-8 h-8 rounded-lg">
+        <img src="/app/static/logo.png" alt="Watchly" class="w-8 h-8 rounded-lg ring-1 ring-white/15 bg-black">
         <h1 class="font-bold text-lg text-white">Watchly</h1>
 
     </div>
@@ -103,11 +111,12 @@ <h1 class="font-bold text-lg text-white">Watchly</h1>
     <div id="mobileNavBackdrop" class="fixed inset-0 bg-black/50 z-30 hidden md:hidden"></div>
     <!-- Sidebar Navigation -->
     <aside id="mainSidebar"
-        class="fixed inset-y-0 left-0 z-40 w-72 transform -translate-x-full transition-transform duration-300 ease-out bg-slate-900/50 backdrop-blur-xl border-b md:border-b-0 md:border-r border-slate-800 flex flex-col flex-shrink-0 md:relative md:translate-x-0 md:flex">
+        class="fixed inset-y-0 left-0 z-40 w-72 transform -translate-x-full transition-transform duration-300 ease-out bg-neutral-950/50 backdrop-blur-xl border-b md:border-b-0 md:border-r border-slate-800 flex flex-col flex-shrink-0 md:relative md:translate-x-0 md:flex">
         <div class="p-6 md:p-8 flex-col items-start gap-4 hidden md:flex">
             <div class="flex items-center gap-3">
-                <img src="/app/static/logo.png" alt="Watchly" class="w-10 h-10 rounded-xl shadow-lg shadow-blue-500/10">
-                <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r from-blue-400 to-cyan-300">
+                <img src="/app/static/logo.png" alt="Watchly"
+                    class="w-10 h-10 rounded-xl shadow-lg shadow-white/10 ring-1 ring-white/10 bg-black">
+                <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r from-white to-slate-300">
                     Watchly</h1>
             </div>
         </div>
@@ -119,7 +128,7 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             <!-- User Profile Section (Hidden by default, shown after login) -->
             <div id="user-profile" class="hidden mb-6 p-4 bg-slate-800/50 border border-slate-700/50 rounded-xl w-full">
                 <div class="flex items-center gap-3">
-                    <div class="w-10 h-10 rounded-full bg-gradient-to-br from-blue-500 to-cyan-500 flex items-center justify-center text-white font-bold text-sm flex-shrink-0"
+                    <div class="w-10 h-10 rounded-full bg-white text-black ring-1 ring-white/10 flex items-center justify-center font-bold text-sm flex-shrink-0"
                         id="user-avatar">
                         <!-- Avatar initials will be generated from email -->
                     </div>
@@ -133,9 +142,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             </div>
 
             <button id="nav-welcome"
-                class="nav-item w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 active text-left">
+                class="nav-item group w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 active text-left">
                 <div
-                    class="w-8 h-8 rounded-lg bg-blue-500/10 text-blue-400 flex items-center justify-center border border-blue-500/20 flex-shrink-0">
+                    class="w-8 h-8 rounded-lg bg-blue-500/10 text-blue-400 flex items-center justify-center border border-blue-400/20 flex-shrink-0 transition-all group-hover:scale-105 group-hover:bg-blue-500/15 group-hover:border-blue-400/30 group-hover:shadow-lg group-hover:shadow-blue-900/10">
                     <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                         <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                             d="M3 12l2-2m0 0l7-7 7 7M5 10v10a1 1 0 001 1h3m10-11l2 2m-2-2v10a1 1 0 01-1 1h-3m-6 0a1 1 0 001-1v-4a1 1 0 011-1h2a1 1 0 011 1v4a1 1 0 001 1m-6 0h6">
@@ -146,9 +155,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             </button>
 
             <button id="nav-login"
-                class="nav-item w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 active text-left disabled">
+                class="nav-item group w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 active text-left disabled">
                 <div
-                    class="w-8 h-8 rounded-lg bg-stremio/20 text-stremio-border flex items-center justify-center border border-stremio-border/30 flex-shrink-0">
+                    class="w-8 h-8 rounded-lg bg-cyan-500/10 text-cyan-400 flex items-center justify-center border border-cyan-400/20 flex-shrink-0 transition-all group-hover:scale-105 group-hover:bg-cyan-500/15 group-hover:border-cyan-400/30 group-hover:shadow-lg group-hover:shadow-cyan-900/10">
                     <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                         <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                             d="M11 16l-4-4m0 0l4-4m-4 4h14m-5 4v1a3 3 0 01-3 3H6a3 3 0 01-3-3V7a3 3 0 013-3h7a3 3 0 013 3v1">
@@ -159,9 +168,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             </button>
 
             <button id="nav-config"
-                class="nav-item w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
+                class="nav-item group w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
                 <div
-                    class="w-8 h-8 rounded-lg bg-slate-800 text-slate-400 flex items-center justify-center border border-slate-700/50 flex-shrink-0">
+                    class="w-8 h-8 rounded-lg bg-purple-500/10 text-purple-400 flex items-center justify-center border border-purple-400/20 flex-shrink-0 transition-all group-hover:scale-105 group-hover:bg-purple-500/15 group-hover:border-purple-400/30 group-hover:shadow-lg group-hover:shadow-purple-900/10">
                     <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                         <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                             d="M12 6V4m0 2a2 2 0 100 4m0-4a2 2 0 110 4m-6 8a2 2 0 100-4m0 4a2 2 0 110-4m0 4v2m0-6V4m6 6v10m6-2a2 2 0 100-4m0 4a2 2 0 110-4m0 4v2m0-6V4">
@@ -172,9 +181,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             </button>
 
             <button id="nav-catalogs"
-                class="nav-item w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
+                class="nav-item group w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
                 <div
-                    class="w-8 h-8 rounded-lg bg-slate-800 text-slate-400 flex items-center justify-center border border-slate-700/50 flex-shrink-0">
+                    class="w-8 h-8 rounded-lg bg-orange-500/10 text-orange-400 flex items-center justify-center border border-orange-400/20 flex-shrink-0 transition-all group-hover:scale-105 group-hover:bg-orange-500/15 group-hover:border-orange-400/30 group-hover:shadow-lg group-hover:shadow-orange-900/10">
                     <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                         <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                             d="M4 6h16M4 10h16M4 14h16M4 18h16">
@@ -185,9 +194,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
             </button>
 
             <button id="nav-install"
-                class="nav-item w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
+                class="nav-item group w-full flex items-center gap-3 px-4 py-3 text-sm font-medium rounded-xl transition-all text-slate-400 hover:text-white hover:bg-slate-800/50 text-left disabled">
                 <div
-                    class="w-8 h-8 rounded-lg bg-slate-800 text-slate-400 flex items-center justify-center border border-slate-700/50 flex-shrink-0">
+                    class="w-8 h-8 rounded-lg bg-green-500/10 text-green-400 flex items-center justify-center border border-green-400/20 flex-shrink-0 transition-all group-hover:scale-105 group-hover:bg-green-500/15 group-hover:border-green-400/30 group-hover:shadow-lg group-hover:shadow-green-900/10">
                     <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                         <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                             d="M8 7H5a2 2 0 00-2 2v9a2 2 0 002 2h14a2 2 0 002-2V9a2 2 0 00-2-2h-3m-1 4l-3 3m0 0l-3-3m3 3V4">
@@ -202,14 +211,17 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
         <div class="p-4 md:p-6 mt-auto space-y-4">
             <!-- Ko-fi Support Button -->
             <button type="button" id="kofiBtn"
-                class="block w-full bg-gradient-to-r from-amber-700 to-amber-900 hover:from-amber-600 hover:to-amber-800 text-white font-medium py-3 px-4 rounded-xl transition-all shadow-lg shadow-amber-900/40 hover:shadow-xl group text-left"
+                class="block w-full bg-white text-black hover:bg-white/90 font-medium py-3 px-4 rounded-xl transition-all shadow-lg shadow-black/10 hover:shadow-xl hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0 border border-white/10 group text-left"
                 aria-label="Buy me Coffee">
                 <div class="flex items-center justify-center gap-3">
                     <!-- Coffee cup icon -->
-                    <svg class="w-5 h-5 group-hover:scale-110 transition-transform" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-                        <path d="M3 7h14v3a5 5 0 01-5 5H8a5 5 0 01-5-5V7z" fill="#fff" opacity="0.9"/>
-                        <path d="M19 8.5a3 3 0 010 6" stroke="#fff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
-                        <path d="M6 4v1M9 4v1M12 4v1" stroke="#fff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
+                    <svg class="w-5 h-5 group-hover:scale-110 transition-transform text-black" viewBox="0 0 24 24" fill="none"
+                        xmlns="http://www.w3.org/2000/svg">
+                        <path d="M3 7h14v3a5 5 0 01-5 5H8a5 5 0 01-5-5V7z" fill="currentColor" opacity="0.9" />
+                        <path d="M19 8.5a3 3 0 010 6" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"
+                            stroke-linejoin="round" />
+                        <path d="M6 4v1M9 4v1M12 4v1" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"
+                            stroke-linejoin="round" />
                     </svg>
                     <span>Buy me Coffee</span>
                 </div>
@@ -231,7 +243,7 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
                 <section id="sect-welcome" class="space-y-8 animate-fade-in py-6">
                     <!-- Version Badge -->
                     <div class="flex justify-center">
-                        <div class="text-sm text-blue-400 bg-blue-500/10 border border-blue-500/30 rounded-lg px-4 py-2 font-medium">
+                        <div class="text-sm text-slate-200 bg-white/5 border border-white/10 rounded-lg px-4 py-2 font-medium">
                             Version <!-- APP_VERSION -->
                         </div>
                     </div>
@@ -240,9 +252,9 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
                     <div class="text-center space-y-4">
                         <div class="inline-block">
                             <div class="flex items-center justify-center gap-3 mb-3">
-                                <img src="/app/static/logo.png" alt="Watchly" class="w-14 h-14 rounded-2xl shadow-lg shadow-blue-500/20">
-                                <h1
-                                    class="text-4xl md:text-5xl font-bold text-transparent bg-clip-text bg-gradient-to-r from-blue-400 via-cyan-300 to-blue-400">
+                                <img src="/app/static/logo.png" alt="Watchly"
+                                    class="w-14 h-14 rounded-2xl shadow-lg shadow-white/10 ring-1 ring-white/10 bg-black">
+                                <h1 class="text-4xl md:text-5xl font-bold text-white">
                                     Watchly
                                 </h1>
                             </div>
@@ -258,7 +270,7 @@ <h1 class="font-bold text-2xl text-transparent bg-clip-text bg-gradient-to-r fro
                         <div id="announcement"
                             class="hidden max-w-2xl mx-auto mt-6 p-3 rounded-xl bg-slate-800/50 border border-slate-700/50 text-sm text-slate-200 flex items-start gap-3"
                             role="region" aria-live="polite">
-                            <div class="flex-shrink-0 text-blue-400 mt-0.5">
+                            <div class="flex-shrink-0 text-slate-200 mt-0.5">
                                 <svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                     <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
                                         d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
@@ -373,7 +385,7 @@ <h3 class="text-base font-bold text-white mb-1">Based on Your Loves</h3>
                     <div class="text-center space-y-6">
                         <div class="max-w-2xl mx-auto">
                             <button type="button" id="btn-get-started"
-                                class="group w-full bg-gradient-to-r from-blue-600 to-cyan-600 hover:from-blue-500 hover:to-cyan-500 text-white font-bold py-4 px-8 rounded-xl transition-all shadow-xl shadow-blue-500/25 hover:shadow-2xl hover:shadow-blue-500/40 text-lg flex items-center justify-center gap-3">
+                                class="group w-full bg-white text-black hover:bg-white/90 font-bold py-4 px-8 rounded-xl transition-all shadow-xl shadow-black/10 hover:shadow-2xl hover:shadow-black/20 text-lg flex items-center justify-center gap-3 border border-white/10 hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0">
                                 <span>Get Started</span>
                                 <svg class="w-5 h-5 group-hover:translate-x-1 transition-transform" fill="none" stroke="currentColor"
                                     viewBox="0 0 24 24">
@@ -383,20 +395,29 @@ <h3 class="text-base font-bold text-white mb-1">Based on Your Loves</h3>
                             </button>
                         </div>
 
-                        <!-- Source Code Link -->
-                        <div class="flex justify-center pt-2">
-                            <a href="https://github.com/TimilsinaBimal/watchly" target="_blank"
-                                class="inline-flex items-center gap-2 text-sm text-slate-300 hover:text-blue-400 transition-colors bg-slate-800/50 border border-slate-700/50 hover:border-blue-500/50 rounded-xl px-5 py-3 hover:shadow-lg hover:shadow-blue-900/20">
+                        <!-- Secondary Links: Donate + Source, aligned in two columns under CTA -->
+                        <div class="max-w-2xl mx-auto pt-2 grid grid-cols-2 gap-3">
+                            <a href="https://buymemomo.com/timilsinabimal" target="_blank" rel="noopener"
+                                class="flex items-center justify-center gap-2 text-sm text-slate-300 hover:text-white transition-colors bg-slate-800/40 border border-white/10 hover:border-white/20 rounded-xl py-3 hover:shadow-md hover:shadow-black/10">
+                                <svg class="w-5 h-5" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+                                    <path d="M3 7h14v3a5 5 0 01-5 5H8a5 5 0 01-5-5V7z" fill="currentColor" class="text-slate-200" />
+                                    <path d="M19 8.5a3 3 0 010 6" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"
+                                        stroke-linejoin="round" class="text-slate-200" />
+                                    <path d="M6 4v1M9 4v1M12 4v1" stroke="currentColor" stroke-width="1.5" stroke-linecap="round"
+                                        stroke-linejoin="round" class="text-slate-200" />
+                                </svg>
+                                <span class="font-medium">Donate</span>
+                            </a>
+                            <a href="https://github.com/TimilsinaBimal/watchly" target="_blank" rel="noopener"
+                                class="flex items-center justify-center gap-2 text-sm text-slate-300 hover:text-white transition-colors bg-slate-800/50 border border-slate-700/50 hover:border-white/30 rounded-xl py-3 hover:shadow-lg hover:shadow-black/20">
                                 <svg class="w-5 h-5" fill="currentColor" viewBox="0 0 24 24">
                                     <path
-                                        d="M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387 0.6.111 0.82-.25 0.82-.557 0-.276-0.01-1.003-0.015-1.972-3.337 0.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-0.744 0.084-0.73 0.084-0.73 1.205 0.084 1.838 1.237 1.838 1.237 1.07 1.835 2.809 1.305 3.492 0.998 0.108-0.776 0.419-1.305 0.762-1.604-2.665-0.3-5.466-1.332-5.466-5.93 0-1.31 0.465-2.38 1.235-3.221-0.135-0.303-0.54-1.523 0.116-3.176 0 0 1.008-0.322 3.301 1.23A11.026 11.026 0 0112 5.86c1.02 0 2.047 0.137 3.013 0.403 2.291-1.552 3.297-1.23 3.297-1.23 0.656 1.653 0.24 2.873 0.116 3.176 0.77 0.84 1.235 1.91 1.235 3.221 0 4.61-2.805 5.621-5.476 5.922 0.43 0.37 0.81 1.096 0.81 2.22 0 1.606-0.015 2.899-0.015 3.286 0 0.308 0.219 0.678 0.825 0.557C20.565 21.79 24 17.29 24 12c0-6.627-5.372-12-12-12z">
-                                    </path>
+                                        d="M12 0c-6.626 0-12 5.373-12 12 0 5.302 3.438 9.8 8.207 11.387 0.6.111 0.82-.25 0.82-.557 0-.276-0.01-1.003-0.015-1.972-3.337 0.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-0.744 0.084-0.73 0.084-0.73 1.205 0.084 1.838 1.237 1.838 1.237 1.07 1.835 2.809 1.305 3.492 0.998 0.108-0.776 0.419-1.305 0.762-1.604-2.665-0.3-5.466-1.332-5.466-5.93 0-1.31 0.465-2.38 1.235-3.221-0.135-0.303-0.54-1.523 0.116-3.176 0 0 1.008-0.322 3.301 1.23A11.026 11.026 0 0112 5.86c1.02 0 2.047 0.137 3.013 0.403 2.291-1.552 3.297-1.23 3.297-1.23 0.656 1.653 0.24 2.873 0.116 3.176 0.77 0.84 1.235 1.91 1.235 3.221 0 4.61-2.805 5.621-5.476 5.922 0.43 0.37 0.81 1.096 0.81 2.22 0 1.606-0.015 2.899-0.015 3.286 0 0.308 0.219 0.678 0.825 0.557C20.565 21.79 24 17.29 24 12c0-6.627-5.372-12-12-12z" />
                                 </svg>
                                 <span class="font-medium">View Source Code</span>
                                 <svg class="w-4 h-4" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                                     <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2"
-                                        d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14">
-                                    </path>
+                                        d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14" />
                                 </svg>
                             </a>
                         </div>
@@ -410,9 +431,9 @@ <h2 class="text-3xl font-bold text-white mb-2">Connect to Stremio</h2>
                         <p class="text-slate-400">Log in to your Stremio account to enable Watchly to read your library.
                         </p>
                     </div>
-                    <div class="bg-slate-900/50 border border-slate-800 rounded-2xl p-6 md:p-8">
+                    <div class="bg-neutral-900/60 border border-white/10 rounded-2xl p-6 md:p-8 backdrop-blur-sm shadow-xl shadow-black/20">
                         <button type="button" id="stremioLoginBtn"
-                            class="w-full bg-stremio hover:bg-stremio-hover text-white font-medium py-4 rounded-xl transition flex items-center justify-center gap-3 border border-stremio-border shadow-lg shadow-stremio/20 group">
+                            class="w-full bg-stremio text-white font-medium py-4 rounded-xl transition flex items-center justify-center gap-3 border border-stremio-border shadow-lg shadow-stremio/20 group hover:bg-white hover:text-black hover:border-white/10">
                             <img src="https://stremio.com/website/stremio-logo-small.png"
                                 class="w-6 h-6 group-hover:scale-110 transition-transform" alt="Stremio">
                             <span id="stremioLoginText" class="text-lg">Login with Stremio</span>
@@ -435,7 +456,7 @@ <h2 class="text-3xl font-bold text-white mb-2">Preferences</h2>
                             class="block text-sm font-medium text-slate-400 uppercase tracking-wider">Language</label>
                         <div class="relative">
                             <select id="languageSelect"
-                                class="w-full appearance-none bg-slate-900 hover:bg-slate-800/80 border border-slate-700 rounded-xl px-4 py-3.5 text-white focus:ring-2 focus:ring-blue-500/50 focus:border-blue-500 outline-none transition-all cursor-pointer">
+                                class="w-full appearance-none bg-slate-900 hover:bg-slate-800/80 border border-slate-700 rounded-xl px-4 py-3.5 text-white focus:ring-2 focus:ring-white/20 focus:border-white/30 outline-none transition-all cursor-pointer">
                                 <!-- JS Populated -->
                             </select>
                             <div
@@ -448,7 +469,7 @@ <h2 class="text-3xl font-bold text-white mb-2">Preferences</h2>
                         </div>
                     </div>
 
-                    <div class="border-t border-slate-800"></div>
+                    <div class="border-t border-white/10"></div>
 
                     <!-- Genre Exclusion -->
                     <div class="space-y-6">
@@ -461,19 +482,19 @@ <h2 class="text-3xl font-bold text-white mb-2">Preferences</h2>
                             <div class="space-y-3">
                                 <label class="block text-xs font-semibold text-slate-500 uppercase">Movies</label>
                                 <div id="movieGenreList"
-                                    class="h-64 overflow-y-auto pr-2 space-y-2 custom-scrollbar bg-slate-900/50 rounded-xl p-3 border border-slate-700/50">
+                                    class="h-64 overflow-y-auto pr-2 space-y-2 custom-scrollbar bg-neutral-900/60 rounded-xl p-3 border border-white/10 backdrop-blur-sm">
                                 </div>
                             </div>
                             <div class="space-y-3">
                                 <label class="block text-xs font-semibold text-slate-500 uppercase">Series</label>
                                 <div id="seriesGenreList"
-                                    class="h-64 overflow-y-auto pr-2 space-y-2 custom-scrollbar bg-slate-900/50 rounded-xl p-3 border border-slate-700/50">
+                                    class="h-64 overflow-y-auto pr-2 space-y-2 custom-scrollbar bg-neutral-900/60 rounded-xl p-3 border border-white/10 backdrop-blur-sm">
                                 </div>
                             </div>
                         </div>
                     </div>
 
-                    <div class="border-t border-slate-800"></div>
+                    <div class="border-t border-white/10"></div>
 
                     <!-- RPDB -->
                     <div class="space-y-4">
@@ -489,16 +510,15 @@ <h2 class="text-3xl font-bold text-white mb-2">Preferences</h2>
                                 </svg>
                             </div>
                             <input type="text" id="rpdbKey"
-                                class="w-full bg-slate-900 border border-slate-700 rounded-xl pl-11 pr-4 py-3.5 text-white placeholder-slate-500 focus:ring-2 focus:ring-blue-500/50 focus:border-blue-500 outline-none transition-all font-mono text-sm"
+                                class="w-full bg-slate-900 border border-slate-700 rounded-xl pl-11 pr-4 py-3.5 text-white placeholder-slate-500 focus:ring-2 focus:ring-white/20 focus:border-white/30 outline-none transition-all font-mono text-sm"
                                 placeholder="Paste your RPDB API key here">
                         </div>
                         <p class="text-xs text-slate-500">Enable ratings on posters via <a
-                                href="https://ratingposterdb.com" target="_blank"
-                                class="text-blue-400 hover:underline">RatingPosterDB</a>.</p>
+                            href="https://ratingposterdb.com" target="_blank" class="text-slate-300 hover:text-white underline">RatingPosterDB</a>.</p>
                     </div>
                     <div class="pt-4 flex justify-end">
                         <button type="button" id="configNextBtn"
-                            class="bg-blue-600 hover:bg-blue-500 text-white px-8 py-3 rounded-xl font-medium transition">Next:
+                            class="bg-white text-black hover:bg-white/90 border border-white/10 px-8 py-3 rounded-xl font-medium transition hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0">Next:
                             Catalogs
                             &rarr;</button>
                     </div>
@@ -511,12 +531,12 @@ <h2 class="text-3xl font-bold text-white mb-2">Catalogs</h2>
                         <p class="text-slate-400">Manage and organize your recommendation lists.</p>
                     </div>
                     <div id="catalogList" class="grid gap-3"></div>
-                    <div class="pt-6 flex justify-between items-center border-t border-slate-800 mt-8">
+                    <div class="pt-6 flex justify-between items-center border-t border-white/10 mt-8">
                         <button type="button" id="resetBtn"
                             class="text-sm text-slate-500 hover:text-slate-300 transition-colors">Reset
                             Defaults</button>
                         <button type="button" id="catalogsNextBtn"
-                            class="bg-blue-600 hover:bg-blue-500 text-white px-8 py-3 rounded-xl font-medium transition">Next:
+                            class="bg-white text-black hover:bg-white/90 border border-white/10 px-8 py-3 rounded-xl font-medium transition hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0">Next:
                             Install
                             &rarr;</button>
                     </div>
@@ -529,13 +549,14 @@ <h2 class="text-3xl font-bold text-white mb-2">Save & Install</h2>
                         <p class="text-slate-400">Ready to install your personalized addon.</p>
                     </div>
 
-                    <div class="bg-slate-900/50 border border-slate-800 rounded-2xl p-6 md:p-8 space-y-6">
+                    <div
+                        class="bg-neutral-900/60 border border-white/10 rounded-2xl p-6 md:p-8 space-y-6 backdrop-blur-sm shadow-xl shadow-black/20">
                         <div class="pt-4">
                             <button type="submit" id="submitBtn"
-                                class="w-full bg-gradient-to-r from-blue-600 to-cyan-600 hover:from-blue-500 hover:to-cyan-500 text-white font-bold py-4 rounded-xl transition-all shadow-lg shadow-blue-500/20 text-lg flex items-center justify-center gap-2">
+                                class="w-full bg-white text-black hover:bg-white/90 font-bold py-4 rounded-xl transition-all shadow-lg shadow-black/10 text-lg flex items-center justify-center gap-2 border border-white/10 hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0">
                                 <span class="btn-text">Save & Install</span>
                                 <div
-                                    class="loader hidden w-5 h-5 border-2 border-white/30 border-t-white rounded-full animate-spin">
+                                    class="loader hidden w-5 h-5 border-2 border-black/30 border-t-black rounded-full animate-spin">
                                 </div>
                             </button>
                         </div>
@@ -586,7 +607,7 @@ <h3 class="text-sm font-semibold text-red-400 mb-1">Danger Zone</h3>
 
             <!-- SECTION 5: SUCCESS -->
             <section id="sect-success"
-                class="bg-slate-900 border border-slate-800 rounded-3xl p-8 md:p-12 shadow-2xl text-center hidden animate-fade-in">
+                class="bg-neutral-900/70 border border-white/10 rounded-3xl p-8 md:p-12 shadow-2xl text-center hidden animate-fade-in backdrop-blur-sm">
                 <div
                     class="w-20 h-20 bg-gradient-to-br from-green-500/20 to-emerald-500/20 text-green-400 rounded-full flex items-center justify-center mx-auto mb-6 ring-1 ring-green-500/30 shadow-lg shadow-green-500/10">
                     <svg class="w-10 h-10" fill="none" stroke="currentColor" viewBox="0 0 24 24">
@@ -596,8 +617,8 @@ <h3 class="text-sm font-semibold text-red-400 mb-1">Danger Zone</h3>
                 <h3 class="text-3xl font-bold text-white mb-2">You're all set!</h3>
                 <p class="text-slate-400 mb-8">Your personalized catalog is ready.</p>
 
-                <div
-                    class="bg-slate-950 rounded-xl p-4 mb-8 border border-slate-800 font-mono text-sm text-blue-400 break-all relative group">
+                    <div
+                    class="bg-neutral-950 rounded-xl p-4 mb-8 border border-white/10 font-mono text-sm text-slate-200 break-all relative group">
                     <div id="addonUrl">https://...</div>
                     <div
                         class="absolute inset-0 bg-slate-900/90 backdrop-blur-sm opacity-0 group-hover:opacity-100 transition-opacity flex items-center justify-center rounded-xl cursor-default">
@@ -607,13 +628,13 @@ <h3 class="text-3xl font-bold text-white mb-2">You're all set!</h3>
 
                 <div class="grid gap-4 md:grid-cols-2 max-w-lg mx-auto">
                     <button id="installDesktopBtn"
-                        class="col-span-full md:col-span-1 bg-blue-600 hover:bg-blue-500 text-white font-semibold py-3.5 rounded-xl transition shadow-lg shadow-blue-900/20 px-4">Install
+                        class="col-span-full md:col-span-1 bg-white hover:bg-white/90 text-black font-semibold py-3.5 rounded-xl transition shadow-lg shadow-black/10 hover:shadow-black/20 hover:-translate-y-0.5 hover:ring-2 hover:ring-black/10 focus:outline-none focus:ring-2 focus:ring-black/20 active:translate-y-0 px-4 border border-white/10">Install
                         on App</button>
                     <button id="installWebBtn"
-                        class="col-span-full md:col-span-1 bg-slate-800 hover:bg-slate-700 text-white font-medium py-3.5 rounded-xl transition border border-slate-700 px-4">Install
+                        class="col-span-full md:col-span-1 bg-neutral-800 hover:bg-neutral-700 text-white font-medium py-3.5 rounded-xl transition border border-white/10 px-4">Install
                         on Web</button>
                     <button id="copyBtn"
-                        class="col-span-full bg-transparent hover:bg-slate-800 text-slate-400 hover:text-white font-medium py-3 rounded-xl transition border border-slate-800 px-4">Copy
+                        class="col-span-full bg-transparent hover:bg-neutral-800 text-slate-400 hover:text-white font-medium py-3 rounded-xl transition border border-white/10 px-4">Copy
                         Link</button>
                 </div>
                 <button type="button" id="successResetBtn"
diff --git a/app/static/logo.png b/app/static/logo.png
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diff --git a/app/static/script.js b/app/static/script.js
index e92231b..52448dc 100644
--- a/app/static/script.js
+++ b/app/static/script.js
@@ -329,8 +329,8 @@ function setStremioLoggedInState(authKey) {
     if (!stremioLoginBtn) return;
     stremioLoginText.textContent = 'Logout';
     stremioLoginBtn.setAttribute('data-action', 'logout');
-    stremioLoginBtn.classList.remove('bg-stremio', 'hover:bg-stremio-hover');
-    stremioLoginBtn.classList.add('bg-red-600', 'hover:bg-red-700', 'border-red-700', 'shadow-red-900/20');
+    stremioLoginBtn.classList.remove('bg-stremio', 'hover:bg-stremio-hover', 'hover:bg-white', 'hover:text-black', 'hover:border-white/10', 'border-stremio-border');
+    stremioLoginBtn.classList.add('bg-red-600', 'hover:bg-red-700', 'border-red-700', 'shadow-red-900/20', 'text-white');
 
 
 
@@ -343,7 +343,7 @@ function setStremioLoggedOutState() {
     if (!stremioLoginBtn) return;
     stremioLoginText.textContent = 'Login with Stremio';
     stremioLoginBtn.removeAttribute('data-action');
-    stremioLoginBtn.classList.add('bg-stremio', 'hover:bg-stremio-hover');
+    stremioLoginBtn.classList.add('bg-stremio', 'hover:bg-white', 'hover:text-black', 'hover:border-white/10', 'border-stremio-border', 'text-white');
     stremioLoginBtn.classList.remove('bg-red-600', 'hover:bg-red-700', 'border-red-700', 'shadow-red-900/20');
 
 
@@ -477,11 +477,11 @@ function initializeGenreLists() {
 function renderGenreList(container, genres, namePrefix) {
     if (!container) return;
     container.innerHTML = genres.map(genre => `
-        <label class="flex items-center gap-3 p-2 rounded-lg hover:bg-slate-800/50 cursor-pointer transition group">
+        <label class="flex items-center gap-3 p-2 rounded-lg hover:bg-white/5 cursor-pointer transition group">
             <div class="relative flex items-center">
                 <input type="checkbox" name="${namePrefix}" value="${genre.id}"
-                    class="peer appearance-none w-5 h-5 border-2 border-slate-600 rounded bg-slate-900 checked:bg-blue-500 checked:border-blue-500 transition-colors">
-                <svg class="absolute w-3.5 h-3.5 text-white left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2 opacity-0 peer-checked:opacity-100 pointer-events-none transition-opacity"
+                    class="peer appearance-none w-5 h-5 border-2 border-slate-600 rounded bg-slate-900 checked:bg-white checked:border-white transition-colors">
+                <svg class="absolute w-3.5 h-3.5 text-black left-1/2 top-1/2 -translate-x-1/2 -translate-y-1/2 opacity-0 peer-checked:opacity-100 pointer-events-none transition-opacity"
                     fill="none" stroke="currentColor" viewBox="0 0 24 24">
                     <path stroke-linecap="round" stroke-linejoin="round" stroke-width="3" d="M5 13l4 4L19 7"></path>
                 </svg>
@@ -555,31 +555,32 @@ function moveCatalogDown(index) {
 function createCatalogItem(cat, index) {
     const item = document.createElement('div');
     const disabledClass = !cat.enabled ? 'opacity-50' : '';
-    item.className = `catalog-item group bg-slate-900 border border-slate-700 rounded-xl p-4 transition-all hover:border-slate-600 ${disabledClass}`;
+    // Modern neutral glass card to match new theme
+    item.className = `catalog-item group bg-neutral-900/60 border border-white/10 rounded-xl p-4 backdrop-blur-sm transition-all hover:border-white/20 hover:bg-neutral-900/70 hover:shadow-lg hover:shadow-black/20 ${disabledClass}`;
     item.setAttribute('data-index', index);
 
     const isRenamable = cat.id !== 'watchly.theme';
     item.innerHTML = `
         <div class="flex items-start gap-3 sm:items-center sm:gap-4">
             <div class="sort-buttons flex flex-col gap-1 flex-shrink-0 mt-0.5 sm:mt-0">
-                <button type="button" class="action-btn move-up p-1 text-slate-500 hover:text-white hover:bg-slate-700 rounded transition disabled:opacity-30 disabled:hover:bg-transparent" title="Move up" ${index === 0 ? 'disabled' : ''}>
+                <button type="button" class="action-btn move-up p-1 text-slate-500 hover:text-white hover:bg-white/10 rounded transition disabled:opacity-30 disabled:hover:bg-transparent" title="Move up" ${index === 0 ? 'disabled' : ''}>
                     <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M18 15l-6-6-6 6"/></svg>
                 </button>
-                <button type="button" class="action-btn move-down p-1 text-slate-500 hover:text-white hover:bg-slate-700 rounded transition disabled:opacity-30 disabled:hover:bg-transparent" title="Move down" ${index === catalogs.length - 1 ? 'disabled' : ''}>
+                <button type="button" class="action-btn move-down p-1 text-slate-500 hover:text-white hover:bg-white/10 rounded transition disabled:opacity-30 disabled:hover:bg-transparent" title="Move down" ${index === catalogs.length - 1 ? 'disabled' : ''}>
                     <svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M6 9l6 6 6-6"/></svg>
                 </button>
             </div>
             <div class="flex-grow min-w-0 space-y-1 sm:space-y-0 sm:flex sm:items-center sm:gap-4">
                 <div class="name-container relative flex items-center min-w-0 h-auto sm:h-9 flex-grow">
                     <span class="catalog-name-text font-medium text-white break-words leading-snug sm:truncate cursor-default w-full">${escapeHtml(cat.name)}</span>
-                    <input type="text" class="catalog-name-input hidden absolute inset-0 w-full bg-slate-950 border border-blue-500 rounded-lg px-3 text-white outline-none text-sm font-medium shadow-sm font-mono" value="${escapeHtml(cat.name)}">
-                    ${isRenamable ? `<button type="button" class="action-btn rename-btn ml-2 p-1.5 flex-shrink-0 text-slate-500 hover:text-blue-400 hover:bg-blue-500/10 rounded-lg transition opacity-100 sm:opacity-0 sm:group-hover:opacity-100 focus:opacity-100" title="Rename"><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"/><path d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"/></svg></button>` : ''}
+                    <input type="text" class="catalog-name-input hidden absolute inset-0 w-full bg-neutral-950 border border-white/20 rounded-lg px-3 text-white outline-none text-sm font-medium shadow-sm font-mono focus:ring-2 focus:ring-white/20 focus:border-white/30" value="${escapeHtml(cat.name)}">
+                    ${isRenamable ? `<button type="button" class="action-btn rename-btn ml-2 p-1.5 flex-shrink-0 text-slate-400 hover:text-white hover:bg-white/10 rounded-lg transition opacity-100 sm:opacity-0 sm:group-hover:opacity-100 focus:opacity-100" title="Rename"><svg xmlns="http://www.w3.org/2000/svg" width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"/><path d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"/></svg></button>` : ''}
                 </div>
                 <div class="catalog-desc sm:hidden text-xs text-slate-500 leading-relaxed">${escapeHtml(cat.description || '')}</div>
             </div>
             <label class="switch relative inline-flex items-center cursor-pointer flex-shrink-0 ml-auto sm:ml-0">
                 <input type="checkbox" class="sr-only peer" ${cat.enabled ? 'checked' : ''} data-catalog-id="${cat.id}">
-                <div class="w-11 h-6 bg-slate-700 peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-blue-800 rounded-full peer peer-checked:after:translate-x-full peer-checked:after:border-white after:content-[''] after:absolute after:top-[2px] after:left-[2px] after:bg-white after:border-gray-300 after:border after:rounded-full after:h-5 after:w-5 after:transition-all peer-checked:bg-blue-600"></div>
+                <div class="w-11 h-6 bg-slate-700 peer-focus:outline-none peer-focus:ring-4 peer-focus:ring-white/20 rounded-full peer peer-checked:after:translate-x-full after:content-[''] after:absolute after:top-[2px] after:left-[2px] after:bg-white after:border-gray-300 after:border after:rounded-full after:h-5 after:w-5 after:transition-all peer-checked:bg-white peer-checked:after:bg-black peer-checked:after:border-black"></div>
             </label>
         </div>
         <div class="catalog-desc hidden sm:block text-xs text-slate-500 mt-2 ml-8 pl-1">${escapeHtml(cat.description || '')}</div>
@@ -805,9 +806,9 @@ function showToast(message, type = 'info', duration = 5000) {
             icon = `<svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
                 <path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
             </svg>`;
-            bgColor = 'bg-blue-500/10';
-            borderColor = 'border-blue-500/30';
-            iconColor = 'text-blue-400';
+            bgColor = 'bg-white/5';
+            borderColor = 'border-white/10';
+            iconColor = 'text-slate-200';
     }
 
     toast.innerHTML = `

From d5730f5cdb25ba4e81453b9088d4ba2cccf36b64 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <timilsina.bml05@gmail.com>
Date: Mon, 15 Dec 2025 12:54:23 +0545
Subject: [PATCH 10/11] style: format files

---
 app/api/endpoints/catalogs.py   | 4 +---
 app/services/scoring.py         | 4 +---
 app/services/stremio_service.py | 4 +---
 app/services/tmdb_service.py    | 4 +---
 4 files changed, 4 insertions(+), 12 deletions(-)

diff --git a/app/api/endpoints/catalogs.py b/app/api/endpoints/catalogs.py
index 15f262a..8e3c46f 100644
--- a/app/api/endpoints/catalogs.py
+++ b/app/api/endpoints/catalogs.py
@@ -76,9 +76,7 @@ async def get_catalog(type: str, id: str, response: Response, token: str):
             logger.info(f"Found {len(recommendations)} recommendations for item {item_id}")
 
         elif id.startswith("watchly.theme."):
-            recommendations = await recommendation_service.get_recommendations_for_theme(
-                theme_id=id, content_type=type
-            )
+            recommendations = await recommendation_service.get_recommendations_for_theme(theme_id=id, content_type=type)
             logger.info(f"Found {len(recommendations)} recommendations for theme {id}")
 
         else:
diff --git a/app/services/scoring.py b/app/services/scoring.py
index c13b80b..a01770c 100644
--- a/app/services/scoring.py
+++ b/app/services/scoring.py
@@ -37,9 +37,7 @@ def process_item(self, raw_item: dict) -> ScoredItem:
             source_type="loved" if item.is_loved else ("liked" if item.is_liked else "watched"),
         )
 
-    def calculate_score(
-        self, item: dict | StremioLibraryItem, is_loved: bool = False, is_liked: bool = False
-    ) -> float:
+    def calculate_score(self, item: dict | StremioLibraryItem, is_loved: bool = False, is_liked: bool = False) -> float:
         """
         Backwards compatible method to just get the float score.
         Accepts either a raw dict or a StremioLibraryItem.
diff --git a/app/services/stremio_service.py b/app/services/stremio_service.py
index f1f39c6..fe7bf99 100644
--- a/app/services/stremio_service.py
+++ b/app/services/stremio_service.py
@@ -422,9 +422,7 @@ async def _post_with_retries(self, client: httpx.AsyncClient, url: str, json: di
             except httpx.RequestError as e:
                 attempts += 1
                 backoff = (2 ** (attempts - 1)) + random.uniform(0, 0.25)
-                logger.warning(
-                    f"Stremio POST {url} request error: {e}; retry {attempts}/{max_tries} in {backoff:.2f}s"
-                )
+                logger.warning(f"Stremio POST {url} request error: {e}; retry {attempts}/{max_tries} in {backoff:.2f}s")
                 await asyncio.sleep(backoff)
                 last_exc = e
                 continue
diff --git a/app/services/tmdb_service.py b/app/services/tmdb_service.py
index fed117d..3f6836e 100644
--- a/app/services/tmdb_service.py
+++ b/app/services/tmdb_service.py
@@ -67,9 +67,7 @@ async def _make_request(self, endpoint: str, params: dict | None = None) -> dict
                 try:
                     return response.json()
                 except ValueError as e:
-                    logger.error(
-                        f"TMDB API returned invalid JSON for {endpoint}: {e}. Response: {response.text[:200]}"
-                    )
+                    logger.error(f"TMDB API returned invalid JSON for {endpoint}: {e}. Response: {response.text[:200]}")
                     return {}
             except httpx.HTTPStatusError as e:
                 status = e.response.status_code

From d44b5aa1528d990bf7deabe3bce52a815301b4e7 Mon Sep 17 00:00:00 2001
From: Bimal Timilsina <45899783+TimilsinaBimal@users.noreply.github.com>
Date: Mon, 15 Dec 2025 13:28:46 +0545
Subject: [PATCH 11/11] fix: invalidate cache on delete/store (#50)

---
 app/api/endpoints/manifest.py |  2 +-
 app/core/version.py           |  2 +-
 app/services/token_store.py   | 29 ++++++++++++++++++++++++++++-
 3 files changed, 30 insertions(+), 3 deletions(-)

diff --git a/app/api/endpoints/manifest.py b/app/api/endpoints/manifest.py
index a715015..0eb42e6 100644
--- a/app/api/endpoints/manifest.py
+++ b/app/api/endpoints/manifest.py
@@ -80,7 +80,7 @@ def get_config_id(catalog) -> str | None:
 
 
 async def _manifest_handler(response: Response, token: str):
-    response.headers["Cache-Control"] = "public, max-age=7200"
+    response.headers["Cache-Control"] = "no-cache"
 
     if not token:
         raise HTTPException(status_code=401, detail="Missing token. Please reconfigure the addon.")
diff --git a/app/core/version.py b/app/core/version.py
index 0b2f79d..c72e379 100644
--- a/app/core/version.py
+++ b/app/core/version.py
@@ -1 +1 @@
-__version__ = "1.1.3"
+__version__ = "1.1.4"
diff --git a/app/services/token_store.py b/app/services/token_store.py
index 77946fb..e632383 100644
--- a/app/services/token_store.py
+++ b/app/services/token_store.py
@@ -37,7 +37,7 @@ def _ensure_secure_salt(self) -> None:
         if not settings.TOKEN_SALT or settings.TOKEN_SALT == "change-me":
             logger.error("Refusing to store credentials because TOKEN_SALT is unset or using the insecure default.")
             raise RuntimeError(
-                "Server misconfiguration: TOKEN_SALT must be set to a non-default value before storing credentials."
+                "Server misconfiguration: TOKEN_SALT must be set to a non-default value before storing" " credentials."
             )
 
     def _get_cipher(self) -> Fernet:
@@ -145,6 +145,20 @@ async def store_user_data(self, user_id: str, payload: dict[str, Any]) -> str:
         else:
             await client.set(key, json_str)
 
+        # Invalidate async LRU cache for fresh reads on subsequent requests
+        try:
+            # bound method supports targeted invalidation by argument(s)
+            self.get_user_data.cache_invalidate(token)
+        except KeyError:
+            # The token was not in the cache, no action needed.
+            pass
+        except Exception as e:
+            logger.warning(f"Targeted cache invalidation failed: {e}. Falling back to clearing cache.")
+            try:
+                self.get_user_data.cache_clear()
+            except Exception as e_clear:
+                logger.error(f"Error while clearing cache: {e_clear}")
+
         # Ensure we remove from negative cache so new value is read next time
         try:
             if token in self._missing_tokens:
@@ -194,6 +208,19 @@ async def delete_token(self, token: str = None, key: str = None) -> None:
         client = await self._get_client()
         await client.delete(key)
 
+        # Invalidate async LRU cache so future reads reflect deletion
+        try:
+            if token:
+                self.get_user_data.cache_invalidate(token)
+            else:
+                # If only key is provided, clear cache entirely to be safe
+                self.get_user_data.cache_clear()
+        except KeyError:
+            # The token was not in the cache, no action needed.
+            pass
+        except Exception as e:
+            logger.warning(f"Failed to invalidate user data cache during token deletion: {e}")
+
         # Remove from negative cache as token is deleted
         try:
             if token and token in self._missing_tokens: