doc/install_en.md

@@ -53,6 +53,7 @@ Config explanation:
 | `file`-`repos` | `["data/files"]` | List of directories where source files are stored |
 | `file`-`dw` | `"data/files"` | Directory for new downloads |
 | `file`-`thumb` | `"data/thumb"` | Directory for thumbnails |
+| `file`-`data` | `"data"` | Directory for database |
 
 1. You must obtain your Gelbooru User ID and Hash and add them to the config file for the system to function correctly.
 2. Install the script in [VioletMonkey](https://git.nekono.su/Nyako/Local-Booru/raw/branch/main/button_script.user.js).

doc/install_ru.md

@@ -54,6 +54,7 @@
 | `file`-`repos` | `["data/files"]` | Список каталогов где храняться полные файлы |
 | `file`-`dw` | `"data/files"` | Каталог хранения загрузок |
 | `file`-`thumb` | `"data/thumb"` | Каталог обложек |
+| `file`-`data` | `"data"` | Каталог базы данных |
 
 1. Обязательно надо получить ID и Hash пользователя и внести в конфиг для работы!
 

run.py

@@ -6,7 +6,7 @@ from pathlib import Path
 
 import requests
 from flask import (Flask, jsonify, render_template, render_template_string,
-                    request, send_from_directory, make_response)
+                    request, send_from_directory, make_response, send_file)
 
 from system_module import db, gelbooru, image_processor, logger, tasks
 
@@ -26,12 +26,13 @@ GB_HEADERS = CONFIG_ROOT["gb"]["headers"]
 FILE_FOLDERS = CONFIG_ROOT["file"]["repos"]
 FILE_DW_FOLDERS = CONFIG_ROOT["file"]["dw"]
 THUMB_FOLDER = CONFIG_ROOT["file"]["thumb"]
+DATA_FOLDER = CONFIG_ROOT["file"]["data"]
 
 
 gb = gelbooru.GB(GB_ID, GB_HASH, GB_HEADERS, FILE_DW_FOLDERS)
 log = logger.Logger()
 log.init_global_exception_hook()
-database = db.DB(True)
+database = db.DB(DATA_FOLDER)
 app = Flask(__name__)
 
 if not image_processor.check_ffmpeg(): print("WARNING!\n\nУ вас не установлен ffmpeg. Генерация превью для видео не доступна!")
@@ -54,7 +55,7 @@ def post(post_id):
 
 @app.route('/file/<path:filename>')
 def serve_image(filename):
-    folder_path = task.find_file(filename, FILE_FOLDERS)
+    folder_path = tasks.find_file(filename, FILE_FOLDERS)
     if folder_path == None:
         return make_response("Not found", 404)
     else:
@@ -91,6 +92,8 @@ def api():
         post_id = data["post_id"]
         result_post = database.get_from_id(post_id)
         return jsonify(result_post)
+    elif data["type"] == "analytic":
+        return send_file(os.path.join(DATA_FOLDER, "analytic.json"), mimetype="application/json")
     elif data["type"] == "task":
         if data["task"] == "analytic":
             if tasks.calculate_analytic(database, CONFIG_ROOT):

system_module/db.py

@@ -7,11 +7,7 @@ from system_module.gelbooru import gelbooru_date_parse
 
 
 class DB:
-    def __init__(self, debug: bool):
-        if debug: 
-            db_path = "data_test" 
-        else: 
-            db_path = "data"
+    def __init__(self, db_path: str):
             
         if not os.path.exists(db_path):
             os.makedirs(db_path)

system_module/tasks.py

@@ -2,13 +2,13 @@ import os
 import json
 from pathlib import Path
 
-def find_file(filename, file_folders):
+def find_file(filename: str, file_folders: list[str], is_folder: bool = True):
     for folder in file_folders:
         folder_path = Path(folder)
         if not folder_path.exists():
             continue
         for file_path in folder_path.rglob(filename):
-            return folder_path
+            return str(folder_path) if is_folder else str(file_path)
     return None
 
 def get_size_format(b, factor=1024, suffix="B"):
@@ -36,9 +36,10 @@ def get_file_list_size(file_list: list[str]):
 
 def get_size_edge(type_searсh: bool, file_list: list[str]):
     if type_searсh:
-        return min(file_list, key=os.path.getsize)
+        result = min(file_list, key=lambda f: Path(f).stat().st_size)
     else:
-        return max(file_list, key=os.path.getsize)
+        result = max(file_list, key=lambda f: Path(f).stat().st_size)
+    return str(result)
 
 def calculate_analytic(database, config):
     all_db = database.get_all()
@@ -50,8 +51,9 @@ def calculate_analytic(database, config):
     type_list_file_path = {"images":[], "videos":[], "gifs":[]}
     files_not_found = 0
     for one_post in all_db:
-        file_path = find_file(one_post["local_filename"], config["file"]["repos"])
+        file_path = find_file(one_post["local_filename"], config["file"]["repos"], is_folder=False)
         if file_path != None:
+            file_path = str(file_path)
             rating_list_file_path[one_post["rating"]].append(file_path)
             if one_post["is_gif"] == 1:
                 type_list_file_path["gifs"].append(file_path)
@@ -88,11 +90,78 @@ def calculate_analytic(database, config):
         }
     }
     total_file_data_size = file_size_dict["general"]+file_size_dict["questionable"]+file_size_dict["sensitive"]+file_size_dict["explicit"]
-    total_thumb_size = get_dir_size(config[["file"]["thumb"]])
+    total_thumb_size = get_dir_size(config["file"]["thumb"])
     total_log_size = get_file_list_size(["logs.log"])
-    total_db_size = get_file_list_size([os.path.join("data", "db.sqlite")])
-    weight_stats_smallest = get_size_edge(True, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"])
-    weight_stats_largest = get_size_edge(False, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"])
+    total_db_size = get_file_list_size([os.path.join(config["file"]["data"], "db.sqlite")])
+    weight_stats_smallest_file = get_size_edge(True, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"])
+    weight_stats_largest_file = get_size_edge(False, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"]) 
+    weight_stats_data = {
+        "smallest":{
+            "file":"",
+            "md5":"",
+            "size":0
+        },
+        "largest":{
+            "file":"",
+            "md5":"",
+            "size":0
+        }
+    }
+    resolution_stats_data = {
+        "smallest":{
+            "file":"",
+            "md5":"",
+            "res":{
+                "width":0,
+                "height":0,
+                "total":99999999999999999999999999
+            }
+        },
+        "largest":{
+            "file":"",
+            "md5":"",
+            "res":{
+                "width":0,
+                "height":0,
+                "total":0
+            }
+        }
+    }
+    for one_post_scan in all_db:
+        if one_post_scan["local_filename"] == os.path.basename(weight_stats_smallest_file):
+            weight_stats_data["smallest"] = {
+                "file":os.path.basename(weight_stats_smallest_file),
+                "md5":one_post_scan["md5"],
+                "size":get_file_list_size([weight_stats_smallest_file])
+            }
+        if one_post_scan["local_filename"] == os.path.basename(weight_stats_largest_file):
+            weight_stats_data["largest"] = {
+                "file":os.path.basename(weight_stats_largest_file),
+                "md5":one_post_scan["md5"],
+                "size":get_file_list_size([weight_stats_largest_file])
+            }
+            print(get_file_list_size([os.path.basename(weight_stats_largest_file)]))
+        one_post_res_total = one_post_scan["width"]*one_post_scan["height"]
+        if resolution_stats_data["largest"]["res"]["total"] < one_post_res_total:
+            resolution_stats_data["largest"] = {
+                "file":one_post_scan["local_filename"],
+                "md5":one_post_scan["md5"],
+                "res":{
+                    "width":one_post_scan["width"],
+                    "height":one_post_scan["height"],
+                    "total":one_post_res_total
+                }
+            }
+        if resolution_stats_data["smallest"]["res"]["total"] > one_post_res_total:
+            resolution_stats_data["smallest"] = {
+                "file":one_post_scan["local_filename"],
+                "md5":one_post_scan["md5"],
+                "res":{
+                    "width":one_post_scan["width"],
+                    "height":one_post_scan["height"],
+                    "total":one_post_res_total
+                }
+            }
     result = {
         "total_images_analyzed": len(all_db),
         "files_not_found":files_not_found,
@@ -117,29 +186,30 @@ def calculate_analytic(database, config):
         "ratings_stats": ratings_stats,
         "resolution_stats": {
             "largest": {
-                "filename": max_res["filename"],
-                "md5": max_res["md5"],
-                "resolution": f'{max_res["width"]}x{max_res["height"]}'
+                "filename": resolution_stats_data["largest"]["file"],
+                "md5": resolution_stats_data["largest"]["md5"],
+                "resolution": str(resolution_stats_data["largest"]["res"]["width"]) + " x " + str(resolution_stats_data["largest"]["res"]["height"])
             },
             "smallest": {
-                "filename": min_res["filename"],
-                "md5": min_res["md5"],
-                "resolution": f'{min_res["width"]}x{min_res["height"]}'
+                "filename": resolution_stats_data["smallest"]["file"],
+                "md5": resolution_stats_data["smallest"]["md5"],
+                "resolution": str(resolution_stats_data["smallest"]["res"]["width"]) + " x " + str(resolution_stats_data["smallest"]["res"]["height"])
             }
         },
         "weight_stats": {
             "largest": {
-                "filename": weight_stats_largest,
-                "md5": max_weight["md5"],
-                "size_formatted": get_size_format(max_weight["size"])
+                "filename": os.path.basename(weight_stats_data["largest"]["file"]),
+                "md5": weight_stats_data["largest"]["md5"],
+                "size_formatted": get_size_format(weight_stats_data["largest"]["size"])
             },
             "smallest": {
-                "filename": weight_stats_smallest,
-                "md5": min_weight["md5"],
-                "size_formatted": get_size_format(min_weight["size"])
+                "filename": os.path.basename(weight_stats_data["smallest"]["file"]),
+                "md5": weight_stats_data["smallest"]["md5"],
+                "size_formatted": get_size_format(weight_stats_data["smallest"]["size"])
             }
         },
         "top_tag":database.get_top_tag("")
     }
     with open(os.path.join(config["file"]["data"], "analytic.json"), 'w', encoding='utf-8') as out_f:
-        json.dump(result, out_f, indent=4, ensure_ascii=False)
+        json.dump(result, out_f, indent=4, ensure_ascii=False)
+    return True

templates/analytics.html

@@ -41,22 +41,21 @@
         .ext-block a { color: var(--link-color); text-decoration: none; word-break: break-all; }
         .ext-block a:hover { text-decoration: underline; }
 
+        .loader { color: var(--text-muted); font-size: 16px; }
+
         @media (max-width: 1000px) { .dashboard-grid { grid-template-columns: 1fr 1fr; } .left-col { grid-column: 1/-1; display: grid; grid-template-columns: 1fr 1fr; } }
         @media (max-width: 700px) { .dashboard-grid, .left-col { grid-template-columns: 1fr; } header { flex-wrap: wrap; } .search-wrapper { order: 3; min-width: 100%; margin-top: 10px;} }
     </style>
 </head>
 <body>
     <header>
-        <a href="index.html" class="logo">LocalBooru</a>
-        <a href="analytics.html" class="analytics-link">📊 Analytics</a>
-        <div class="search-wrapper">
-            <input type="text" id="searchInput" placeholder="Search tags...">
-            <ul id="autocompleteList" class="autocomplete-list"></ul>
-        </div>
+        <a href="/" class="logo">LocalBooru</a>
     </header>
 
     <main>
         <h1>Database Analytics</h1>
+        <div id="loadingIndicator" class="loader">Fetching data from API...</div>
+        
         <div class="dashboard-grid" id="analyticsGrid" style="display: none;">
             <div class="left-col">
                 <div class="panel">
@@ -68,7 +67,7 @@
                     <div class="data-list" id="storageContainer"></div>
                 </div>
                 <div class="panel">
-                    <div class="panel-header">🎨 Media Types (in img/)</div>
+                    <div class="panel-header">🎨 Media Types</div>
                     <div class="data-list" id="mediaContainer"></div>
                 </div>
                 <div class="panel">
@@ -78,125 +77,119 @@
             </div>
             
             <div class="panel">
-                <div class="panel-header">🏷️ All Tags List</div>
+                <div class="panel-header">🏷️ Top Tags List</div>
                 <div class="table-header"><span>Tag</span><span>Count</span></div>
                 <div class="data-list" id="tagsListContainer"></div>
-                <div class="pagination"><button class="page-btn" onclick="prevTagPage()">&lsaquo;</button><span id="tagPageInfo" style="font-weight:bold; padding:0 10px;"></span><button class="page-btn" onclick="nextTagPage()">&rsaquo;</button></div>
+                <div class="pagination">
+                    <button class="page-btn" onclick="prevTagPage()">&lsaquo;</button>
+                    <span id="tagPageInfo" style="font-weight:bold; padding:0 10px;"></span>
+                    <button class="page-btn" onclick="nextTagPage()">&rsaquo;</button>
+                </div>
             </div>
             
+            <!-- Заменено, так как в новом JSON нет top_pairs -->
             <div class="panel">
-                <div class="panel-header">🔗 Top 30 Tag Pairs</div>
-                <div class="table-header"><span>Pair</span><span>Count</span></div>
-                <div class="data-list" id="pairsContainer"></div>
+                <div class="panel-header">ℹ️ System Overview</div>
+                <div class="data-list" id="overviewContainer"></div>
             </div>
         </div>
     </main>
 
     <script>
-        const searchInput = document.getElementById('searchInput');
-        const list = document.getElementById('autocompleteList');
         let debounceTimer;
-
-        searchInput.addEventListener('input', () => {
-            clearTimeout(debounceTimer);
-            const words = searchInput.value.split(' ');
-            const currentWord = words[words.length - 1];
-            if (currentWord.length < 2) { list.style.display = 'none'; return; }
-
-            debounceTimer = setTimeout(async () => {
-                const req = { type: "autocomplete", q: currentWord };
-                const data = await mockAutocompleteAPI(req); 
-                
-                if (data.length === 0) { list.style.display = 'none'; return; }
-
-                list.innerHTML = data.map(item => `<li class="autocomplete-item" data-tag="${item.tag}"><span>${item.tag}</span><span class="autocomplete-count">${item.count}</span></li>`).join('');
-                list.style.display = 'block';
-
-                list.querySelectorAll('.autocomplete-item').forEach(li => {
-                    li.addEventListener('click', () => {
-                        words[words.length - 1] = li.getAttribute('data-tag');
-                        searchInput.value = words.join(' ') + ' ';
-                        list.style.display = 'none';
-                        searchInput.focus();
-                    });
-                });
-            }, 200);
-        });
-
-        document.addEventListener('click', (e) => { if (e.target !== searchInput && e.target !== list) list.style.display = 'none'; });
-        searchInput.addEventListener('keypress', (e) => { if(e.key === 'Enter') window.location.href = `index.html?query=${searchInput.value.trim()}`; });
-
         let allTags = [], currentTagPage = 1, tagsPerPage = 22;
 
+        // Укорачиваем длинные имена файлов (хэши) для красивого отображения
+        const shortenName = (name) => name.length > 20 ? name.substring(0, 10) + '...' + name.substring(name.length - 6) : name;
+
         async function fetchAnalytics() {
-            const data = await mockAnalyticsAPI({ type: "analytics" });
-            
-            document.getElementById('ratingContainer').innerHTML = Object.keys(data.ratings).map(k => `
-                <div class="rating-box" style="border-top: 2px solid var(--color-${k[0]})">
-                    <div style="font-weight:bold; color:var(--color-${k[0]}); margin-bottom:5px;">${k.charAt(0).toUpperCase() + k.slice(1)}</div>
-                    <div style="color:var(--text-muted); margin-bottom:3px;">${data.ratings[k].count} items</div>
-                    <div style="font-weight:bold;">${data.ratings[k].size}</div>
-                </div>
-            `).join('');
+            try {
+                const response = await fetch('/api', {
+                    method: 'POST',
+                    headers: { 'Content-Type': 'application/json' },
+                    body: JSON.stringify({ type: "analytic" })
+                });
 
-            const s = data.storage;
-            document.getElementById('storageContainer').innerHTML = `
-                <div class="data-row"><span>Logs:</span><span class="val">${s.logs}</span></div>
-                <div class="data-row"><span>DB:</span><span class="val">${s.db}</span></div>
-                <div class="data-row"><span>Thumb:</span><span class="val">${s.thumb}</span></div>
-                <div class="data-row"><span>Img:</span><span class="val">${s.main}</span></div>
-                <div class="data-row" style="color:var(--color-g); font-weight:bold; border-top:1px solid #444; border-bottom:none; padding-top:8px;"><span>GRAND TOTAL:</span><span>${s.total}</span></div>
-            `;
+                if (!response.ok) throw new Error("Network response was not ok");
+                
+                const data = await response.json();
+                
+                // Скрываем лоадер, показываем сетку
+                document.getElementById('loadingIndicator').style.display = 'none';
+                document.getElementById('analyticsGrid').style.display = 'grid';
 
-            const m = data.media;
-            document.getElementById('mediaContainer').innerHTML = `
-                <div class="data-row"><span>IMG:</span><span class="val">${m.img_size}</span></div>
-                <div class="data-row"><span>VID:</span><span class="val">${m.vid_size}</span></div>
-                <div class="data-row"><span>GIF:</span><span class="val">${m.gif_size}</span></div>
-                <div style="font-size:11px; color:var(--text-muted); margin-top:5px;">Total: <b>${m.total_items}</b> | Avg: <b>${m.avg_weight}</b></div>
-            `;
+                // 1. Рейтинги
+                const rStats = data.ratings_stats;
+                document.getElementById('ratingContainer').innerHTML = Object.keys(rStats).map(k => `
+                    <div class="rating-box" style="border-top: 2px solid var(--color-${k[0]})">
+                        <div style="font-weight:bold; color:var(--color-${k[0]}); margin-bottom:5px;">${k.charAt(0).toUpperCase() + k.slice(1)}</div>
+                        <div style="color:var(--text-muted); margin-bottom:3px;">${rStats[k].count} items</div>
+                        <div style="font-weight:bold;">${rStats[k].size_formatted}</div>
+                    </div>
+                `).join('');
 
-            const e = data.extremes;
-            document.getElementById('extremesContainer').innerHTML = `
-                <div class="ext-block"><b>Largest:</b> ${e.largest.val}<br>(<a href="post.html?id=${e.largest.id}">${e.largest.file}</a>)</div>
-                <div class="ext-block"><b>Smallest:</b> ${e.smallest.val}<br>(<a href="post.html?id=${e.smallest.id}">${e.smallest.file}</a>)</div>
-                <div class="ext-block"><b>Heaviest:</b> ${e.heaviest.val}<br>(<a href="post.html?id=${e.heaviest.id}">${e.heaviest.file}</a>)</div>
-                <div class="ext-block"><b>Lightest:</b> ${e.lightest.val}<br>(<a href="post.html?id=${e.lightest.id}">${e.lightest.file}</a>)</div>
-            `;
+                // 2. Хранилище (Storage)
+                const s = data.storage_stats.folders;
+                document.getElementById('storageContainer').innerHTML = `
+                    <div class="data-row"><span>Logs:</span><span class="val">${s.logs}</span></div>
+                    <div class="data-row"><span>DB:</span><span class="val">${s.db}</span></div>
+                    <div class="data-row"><span>Thumb:</span><span class="val">${s.thumb}</span></div>
+                    <div class="data-row"><span>Data (Img):</span><span class="val">${s.data}</span></div>
+                    <div class="data-row" style="color:var(--color-g); font-weight:bold; border-top:1px solid #444; border-bottom:none; padding-top:8px;"><span>GRAND TOTAL:</span><span>${data.storage_stats.grand_total}</span></div>
+                `;
 
-            document.getElementById('pairsContainer').innerHTML = data.top_pairs.map(p => `<div class="tag-row"><a href="index.html?query=${p.pair.replace(/ \+ /g, '+')}">${p.pair}</a> <span>${p.count}</span></div>`).join('');
+                // 3. Медиа типы
+                const m = data.storage_stats.types;
+                document.getElementById('mediaContainer').innerHTML = `
+                    <div class="data-row"><span>IMG:</span><span class="val">${m.images}</span></div>
+                    <div class="data-row"><span>VID:</span><span class="val">${m.videos}</span></div>
+                    <div class="data-row"><span>GIF:</span><span class="val">${m.gifs}</span></div>
+                    <div style="font-size:11px; color:var(--text-muted); margin-top:5px;">Total: <b>${data.total_images_analyzed}</b> | Avg: <b>${data.average_weight.formatted}</b></div>
+                `;
 
-            allTags = data.all_tags; renderTagsPage();
-            document.getElementById('analyticsGrid').style.display = 'grid';
+                // 4. Рекорды (Extremes)
+                const res = data.resolution_stats;
+                const weight = data.weight_stats;
+                document.getElementById('extremesContainer').innerHTML = `
+                    <div class="ext-block"><b>Largest Res:</b> ${res.largest.resolution}<br>(<a href="post/${res.largest.md5}">${shortenName(res.largest.filename)}</a>)</div>
+                    <div class="ext-block"><b>Smallest Res:</b> ${res.smallest.resolution}<br>(<a href="post/${res.smallest.md5}">${shortenName(res.smallest.filename)}</a>)</div>
+                    <div class="ext-block"><b>Heaviest:</b> ${weight.largest.size_formatted}<br>(<a href="post/${weight.largest.md5}">${shortenName(weight.largest.filename)}</a>)</div>
+                    <div class="ext-block"><b>Lightest:</b> ${weight.smallest.size_formatted}<br>(<a href="post/${weight.smallest.md5}">${shortenName(weight.smallest.filename)}</a>)</div>
+                `;
+
+                // 5. System Overview (вместо Top Pairs)
+                document.getElementById('overviewContainer').innerHTML = `
+                    <div class="data-row"><span>Images Analyzed:</span><span class="val" style="font-weight:bold;">${data.total_images_analyzed}</span></div>
+                    <div class="data-row"><span>Files Not Found:</span><span class="val" style="font-weight:bold; color: ${data.files_not_found > 0 ? 'var(--color-e)' : 'inherit'};">${data.files_not_found}</span></div>
+                `;
+
+                // 6. Теги
+                allTags = data.top_tag; 
+                renderTagsPage();
+
+            } catch (error) {
+                console.error('Error fetching analytics:', error);
+                document.getElementById('loadingIndicator').innerHTML = `<span style="color: var(--color-e)">Failed to load data. See console for details.</span>`;
+            }
         }
 
+        // Пагинация тегов
         function renderTagsPage() {
-            document.getElementById('tagPageInfo').innerText = `${currentTagPage} / ${Math.ceil(allTags.length / tagsPerPage)}`;
+            if (!allTags || allTags.length === 0) return;
+            
+            const totalPages = Math.ceil(allTags.length / tagsPerPage) || 1;
+            document.getElementById('tagPageInfo').innerText = `${currentTagPage} / ${totalPages}`;
+            
             const start = (currentTagPage - 1) * tagsPerPage;
-            document.getElementById('tagsListContainer').innerHTML = allTags.slice(start, start + tagsPerPage).map(t => `<div class="tag-row"><a href="index.html?query=${t.name}">${t.name}</a> <span>${t.count}</span></div>`).join('');
+            document.getElementById('tagsListContainer').innerHTML = allTags.slice(start, start + tagsPerPage).map(t => 
+                `<div class="tag-row"><a href="index.html?query=${encodeURIComponent(t.tag)}">${t.tag}</a> <span>${t.count}</span></div>`
+            ).join('');
         }
+
         window.prevTagPage = () => { if(currentTagPage > 1) { currentTagPage--; renderTagsPage(); }};
         window.nextTagPage = () => { if(currentTagPage < Math.ceil(allTags.length/tagsPerPage)) { currentTagPage++; renderTagsPage(); }};
 
-        // --- ЗАГЛУШКИ ---
-        function mockAutocompleteAPI(req) { return new Promise(res => { const db = [{tag: "long_hair", count: 8184}, {tag: "1girl", count: 11061}]; res(db.filter(t => t.tag.includes(req.q.toLowerCase()))); }); }
-        
-        function mockAnalyticsAPI() { 
-            return new Promise(res => { setTimeout(() => { res({
-                ratings: { explicit: { count: 1605, size: "4.52 GB" }, sensitive: { count: 6623, size: "19.35 GB" }, questionable: { count: 1591, size: "4.72 GB" }, general: { count: 4184, size: "10.29 GB" } },
-                storage: { logs: "14.44 MB", db: "24.39 MB", thumb: "331.45 MB", main: "38.88 GB", total: "39.24 GB" },
-                media: { img_size: "38.56 GB", vid_size: "140.80 MB", gif_size: "181.30 MB", total_items: 14003, avg_weight: "2.84 MB" },
-                extremes: {
-                    largest: { val: "9921x14031", id: "5a63c", file: "5a63c28906dc7e0e...png" },
-                    smallest: { val: "240x280", id: "8fc61", file: "8fc614e712ae2ad...gif" },
-                    heaviest: { val: "65.21 MB", id: "4ab6a", file: "4ab6acf0a32c61...png" },
-                    lightest: { val: "6.49 KB", id: "28c67", file: "28c679ea3483e1...png" }
-                },
-                all_tags: Array.from({length: 100}, (_,i) => ({name:`tag_${i}`, count:100-i})),
-                top_pairs: [{ pair: "1girl + highres", count: 10236 }, { pair: "1girl + solo", count: 8902 }]
-            }); }, 300);}); 
-        }
-
+        // Запуск
         fetchAnalytics();
     </script>
 </body>

templates/index.html

@@ -64,9 +64,7 @@
 
     <header>
         <a href="/" class="logo">LocalBooru</a>
-        <!--
         <a class="analytics" href="/analytics">📊 Analytics</a>
-        -->
         <a class="tasks" href="/task">⚙️ Tasks</a>
         <div class="search-wrapper">
             <input type="text" id="searchInput" placeholder="Search tags...">

templates/task.html

@@ -56,10 +56,6 @@
 <body>
     <header>
         <a href="/" class="logo">LocalBooru</a>
-        <div class="search-wrapper">
-            <input type="text" id="searchInput" placeholder="Search tags...">
-            <ul id="autocompleteList" class="autocomplete-list"></ul>
-        </div>
     </header>
 
     <main>
@@ -139,44 +135,6 @@
                 btn.innerText = "Запустить";
             }
         }
-
-
-        // === ЛОГИКА ПОИСКА (оставлена из предыдущей версии) ===
-        const searchInput = document.getElementById('searchInput');
-        const list = document.getElementById('autocompleteList');
-        let debounceTimer;
-
-        searchInput.addEventListener('input', () => {
-            clearTimeout(debounceTimer);
-            const words = searchInput.value.split(' ');
-            const currentWord = words[words.length - 1];
-            if (currentWord.length < 2) { list.style.display = 'none'; return; }
-
-            debounceTimer = setTimeout(async () => {
-                const req = { type: "autocomplete", q: currentWord };
-                const data = await mockAutocompleteAPI(req); 
-                
-                if (data.length === 0) { list.style.display = 'none'; return; }
-
-                list.innerHTML = data.map(item => `<li class="autocomplete-item" data-tag="${item.tag}"><span>${item.tag}</span><span class="autocomplete-count">${item.count}</span></li>`).join('');
-                list.style.display = 'block';
-
-                list.querySelectorAll('.autocomplete-item').forEach(li => {
-                    li.addEventListener('click', () => {
-                        words[words.length - 1] = li.getAttribute('data-tag');
-                        searchInput.value = words.join(' ') + ' ';
-                        list.style.display = 'none';
-                        searchInput.focus();
-                    });
-                });
-            }, 200);
-        });
-
-        document.addEventListener('click', (e) => { if (e.target !== searchInput && e.target !== list) list.style.display = 'none'; });
-        searchInput.addEventListener('keypress', (e) => { if(e.key === 'Enter') window.location.href = `index.html?query=${searchInput.value.trim()}`; });
-
-        // Заглушка для поиска (оставьте или замените на ваш fetch)
-        function mockAutocompleteAPI(req) { return new Promise(res => { const db = [{tag: "long_hair", count: 8184}, {tag: "1girl", count: 11061}]; res(db.filter(t => t.tag.includes(req.q.toLowerCase()))); }); }
     </script>
 </body>
 </html>