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Hell13Cat 76397a4fc0 0.1.0b 2026-06-02 02:16:33 +03:00
Hell13Cat 7b86090b75 0.0.10s 2026-06-02 01:17:25 +03:00
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# Local-Booru # Local-Booru
Version Naming Rules: ## [ENGLISH README](doc/readme_en.md) | [РУССКИЙ README](doc/readme_ru.md)
[Version Code][Version Type] ## [INSTALL INSRUCTION](doc/readme_en.md) | [ИНСТРУКЦИЯ ПО УСТАНОВКЕ](doc/readme_ru.md)
All technical versions are designated as snapshots (s)
All test versions are designated as beta (b)
All pre-release and release versions are designated as release candidate and release (rc, r)
## AI Usage Disclaimer
Files in the "template" folder may be entirely or partially generated by AI.
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# Installation Guide
## System Requirements
- **OS:** Windows 10+, macOS 10.13+, Linux kernel 3.x+
- **RAM:** 512 MB or higher
- **Disk Space:** 512 MB minimum + additional space for data
## Prerequisites
- Python 3.13.13 or higher
- ffmpeg 2026-01-29 (required if you intend to store video files)
- git (optional)
## Instructions
Once you have installed the required software, you need to configure the booru.
### Downloading the package
You have two options depending on whether you have git installed:
#### Using CLI (recommended)
Run the following command in the folder where the site will be located:
`git clone https://git.nekono.su/Nyako/Local-Booru.git .`
#### Using the website
1. Download the archive by clicking the buttons shown below:
![1](./doc/img/1.png)
![2](./doc/img/2.png)
2. Extract the archive into the folder where the site will be hosted.
### Installing dependencies
In the terminal, navigate to the folder where the site is located and run:
`pip install -r requirements.txt`
### Configuring `config.json`
Config explanation:
| Key | Default | Description |
| :--- | :--- | :--- |
| `server`-`host` | `"127.0.2.1"` | Server host address |
| `server`-`port` | `80` | Server port |
| `server`-`count_page` | `25` | Number of items per page |
| `server`-`thumb_size` | `250` | Thumbnail size (pixels, long side) |
| `gb`-`id` | `""` | Gelbooru User ID |
| `gb`-`hash` | `""` | Gelbooru User Hash |
| `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 |
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).
#### If you changed the Host or Port:
- Open any post.
- Update the base URL in the script configuration to match your custom settings.
### Launch
Simply run: `python run.py`
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## Системные требования
OC: Windows 10+, macOS 10.13+, Linux kernel 3.x+
ОЗУ: 512 МБ и выше
Диск: 512 МБ минимум + место под данные
## Требуеться заранее установить
- Python 3.13.13 и выше
- ffmpeg 2026-01-29 (Если вы будете хранить видео)
- git (по желанию)
## Инструкиция
Приготовив все программы вам надо настроить booru
### Скачиваем пакет
У вас есть два варианта в зависимости от установленного git
#### Используя CLI сделать в папке где будет размещен сайт
`git clone https://git.nekono.su/Nyako/Local-Booru.git .`
#### Используя веб-сайт
1. Скачиваем по кнопке:
![1](./doc/img/1.png)
![2](./doc/img/2.png)
2. Делаем распаковку в папку где будет сайт
### Производим установку зависимостей
Используя CLI сделать в папке где будет размещен сайт
`pip install -r requirements.txt`
### Делаем конфигурацию файла config.json
Объяснение конфига:
| Ключ | По умолчанию | Пояснение |
|----------|----------|----------|
| `server`-`host` | `"127.0.2.1"` | Хост запуска сервера |
| `server`-`port` | `80` | Порт запуска сервера |
| `server`-`count_page` | `25` | Количество элементов на странице |
| `server`-`thumb_size` | `250` | Размер превью в пикселях по широкой стороне |
| `gb`-`id` | `""` | ID пользователя Gelbooru |
| `gb`-`hash` | `""` | Hash пользователя Gelbooru |
| `file`-`repos` | `["data/files"]` | Список каталогов где храняться полные файлы |
| `file`-`dw` | `"data/files"` | Каталог хранения загрузок |
| `file`-`thumb` | `"data/thumb"` | Каталог обложек |
1. Обязательно надо получить ID и Hash пользователя и внести в конфиг для работы!
2. Установить скрипт в VioletMonkey [отсюда](https://git.nekono.su/Nyako/Local-Booru/raw/branch/main/button_script.user.js)
#### Если вы меняли Host или Port
- Открыть любой пост
- Ввести корневой путь в конфигурации скрипта на тот что у вас
### Запуск
Просто выполните `python run.py`
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## Remarque
Version Naming Rules:
[Version Code][Version Type]
All technical versions are designated as snapshots (s)
All test versions are designated as beta (b)
All pre-release and release versions are designated as release candidate and release (rc, r)
## AI Usage Disclaimer
Files in the "template" folder may be entirely or partially generated by AI.
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# Local-Booru ## Ремарка
Правила найменования версий: Правила найменования версий:
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blinker==1.9.0
certifi==2026.5.20
charset-normalizer==3.4.7
click==8.4.1
colorama==0.4.6
Flask==3.1.3
idna==3.17
itsdangerous==2.2.0
Jinja2==3.1.6
MarkupSafe==3.0.3
pillow==12.2.0
requests==2.34.2
urllib3==2.7.0
Werkzeug==3.1.8
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for chunk in r.iter_content(chunk_size=8192): for chunk in r.iter_content(chunk_size=8192):
f.write(chunk) f.write(chunk)
database.add_raw(data_get) database.add_raw(data_get)
image_processor.generate_thumb(FILE_DW_FOLDERS+"/"+file_name, THUMB_FOLDER, TARGET_MIN_SIZE) res_data = image_processor.generate_thumb(FILE_DW_FOLDERS+"/"+file_name, THUMB_FOLDER, TARGET_MIN_SIZE)
if not res_data["status"]:
print(res_data["message"])
return jsonify({'status': 'success'}) return jsonify({'status': 'success'})
except requests.exceptions.RequestException as e: except requests.exceptions.RequestException as e:
error_message = f"Network error {image_id}: {e}" error_message = f"Network error {image_id}: {e}"
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return response.json()["post"][0], url_file, file_name return response.json()["post"][0], url_file, file_name
def get_from_md5(self, md5): def get_from_md5(self, md5):
pass params = {"page": "dapi", "s": "post", "q": "index", "json": 1, "tags":"md5:"+md5, "api_key":self.api_hash, "user_id":self.api_id}
response = requests.get(self.root_url, params=params, headers=self.HEADERS, timeout=15)
print(response.url)
url_file = response.json()["post"][0]["file_url"]
file_name = response.json()["post"][0]["image"]
return response.json()["post"][0], url_file, file_name
def get_binary_file(self, id_post): def get_binary_file(self, id_post):
pass pass
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from PIL import Image from PIL import Image
import os import os
EXTENSIONS_IMG = ('.jpg', '.jpeg', '.png', '.gif', '.webp', '.bmp') EXTENSIONS_IMG = ('jpg', 'jpeg', 'png', 'gif', 'webp', 'bmp')
EXTENSIONS_VID = ('.mp4', '.webm') EXTENSIONS_VID = ('mp4', 'webm')
VALID_EXTENSIONS = EXTENSIONS_IMG + EXTENSIONS_VID VALID_EXTENSIONS = EXTENSIONS_IMG + EXTENSIONS_VID
def check_ffmpeg(): def check_ffmpeg():
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def image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE): def image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
with Image.open(input_path_file) as img: with Image.open(input_path_file) as img:
img_rgba = img.convert("RGBA") img_rgba = img.convert("RGBA")
background = Image.new("RGB", img_rgba.size, (255, 255, 255)) background = Image.new("RGB", img_rgba.size, (255, 255, 255))
background.paste(img_rgba, mask=img_rgba) background.paste(img_rgba, mask=img_rgba)
final_img = background final_img = background
width, height = final_img.size width, height = final_img.size
if width <= TARGET_MIN_SIZE and height <= TARGET_MIN_SIZE: if width <= TARGET_MIN_SIZE and height <= TARGET_MIN_SIZE:
final_img.save(output_path_file, "JPEG", quality=90) final_img.save(output_path_file, "JPEG", quality=90)
else: else:
@@ -45,7 +40,6 @@ def image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
else: else:
new_height = TARGET_MIN_SIZE new_height = TARGET_MIN_SIZE
new_width = int(TARGET_MIN_SIZE * (width / height)) new_width = int(TARGET_MIN_SIZE * (width / height))
resized_img = final_img.resize((new_width, new_height), Image.Resampling.LANCZOS) resized_img = final_img.resize((new_width, new_height), Image.Resampling.LANCZOS)
resized_img.save(output_path_file, "JPEG", quality=85) resized_img.save(output_path_file, "JPEG", quality=85)
@@ -53,7 +47,7 @@ def generate_thumb(input_path_file, THUMB_FOLDER, TARGET_MIN_SIZE):
ext_file = input_path_file.split(".")[-1] ext_file = input_path_file.split(".")[-1]
if ext_file not in VALID_EXTENSIONS: if ext_file not in VALID_EXTENSIONS:
return {"status":False, "message":"Расширение не поддерживаеться!"} return {"status":False, "message":"Расширение не поддерживаеться!"}
thumb_filename = f"{input_path_file.split(".")[-2]}.jpg" thumb_filename = f"{os.path.basename(input_path_file).split(".")[-2]}.jpg"
output_path_file = os.path.join(THUMB_FOLDER, thumb_filename) output_path_file = os.path.join(THUMB_FOLDER, thumb_filename)
if ext_file in EXTENSIONS_IMG: if ext_file in EXTENSIONS_IMG:
image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE) image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE)
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<header> <header>
<a href="/" class="logo">LocalBooru</a> <a href="/" class="logo">LocalBooru</a>
<!--
<a class="analytics" href="/analytics">📊 Analytics</a> <a class="analytics" href="/analytics">📊 Analytics</a>
-->
<div class="search-wrapper"> <div class="search-wrapper">
<input type="text" id="searchInput" placeholder="Search tags..."> <input type="text" id="searchInput" placeholder="Search tags...">
<ul id="autocompleteList" class="autocomplete-list"></ul> <ul id="autocompleteList" class="autocomplete-list"></ul>