### Install ososedki_dl from PyPI using pipx

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Installs the ososedki_dl package from PyPI using pipx, a tool for installing and running Python applications in isolated environments. This ensures a clean installation without global conflicts. This method installs the latest stable release.

```bash
pipx install ososedki_dl
```

--------------------------------

### Clone ososedki_dl repository and navigate

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Manually installs the ososedki_dl program by cloning the repository from GitHub and changing the directory into the project. This method installs the latest commit from the repository, not necessarily the latest release.

```bash
git clone https://github.com/YisusChrist/ososedki_dl
cd ososedki_dl
```

--------------------------------

### Install ososedki_dl manually with Poetry

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Installs the ososedki_dl package manually using Poetry, a dependency management tool for Python. The `--only main` flag installs only the main package and its dependencies, excluding development dependencies. This command is run after cloning the repository.

```bash
poetry install --only main
```

--------------------------------

### Install ososedki_dl from PyPI using pip3

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Installs the ososedki_dl package from the Python Package Index (PyPI) using pip3. It is recommended to use this within a virtual environment for best practices. This method installs the latest stable release.

```bash
pip3 install ososedki_dl
```

--------------------------------

### Get ososedki_dl help information

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Displays the help information for the ososedki_dl command-line tool. This provides a summary of available options and commands, useful for understanding the program's functionality and usage.

```bash
ososedki_dl --help
```

```bash
ososedki_dl -h
```

--------------------------------

### Run ososedki_dl using Poetry

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Executes the ososedki_dl program using Poetry. This command is used after manually installing the package with Poetry, ensuring the program is run within its managed environment. It will prompt the user for a URL.

```bash
poetry run ososedki_dl
```

--------------------------------

### Uninstall ososedki_dl installed via PyPI

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Uninstalls the ososedki_dl package if it was originally installed from PyPI using pipx. This command removes the program and its associated files from the isolated environment managed by pipx.

```bash
pipx uninstall ososedki_dl
```

--------------------------------

### ososedki_dl CLI Commands

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Demonstrates various command-line interface commands for ososedki_dl, including basic usage, specifying destination, enabling caching, interactive configuration, listing supported sites, and viewing/updating configuration.

```bash
# Basic usage - prompts for URL and uses configured destination
ososedki_dl

# Specify destination path directly
ososedki_dl --destination ~/Downloads/albums

# Enable request caching for faster repeated downloads
ososedki_dl --cache

# Interactive config file creation with GUI dialog
ososedki_dl --interactive

# List all supported sites
ososedki_dl --list-supported-sites

# Output:
# https://bunkr-albums.io
# https://cosplayasian.com
# https://cosplayboobs.com
# https://cosplayrule34.com
# https://cosplaythots.com
# https://cosxuxi.club
# https://eromexxx.com
# https://fapello.is
# https://husvjjal.blogspot.com
# https://ocosplay.com
# https://ososedki.com
# https://sorrymother.top
# https://vipthots.com
# https://waifubitches.com
# https://wildskirts.com

# Show config directory path
ososedki_dl --config-dir

# View entire configuration
ososedki_dl --print-config

# View specific config field
ososedki_dl --print-config dest_path

# Update config values
ososedki_dl --print-config dest_path /new/path
```

--------------------------------

### Manage Configuration with ososedki_dl.config

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Handle persistent configuration settings for download paths using functions from `ososedki_dl.config`. The `create_config_file` function can generate configuration files interactively or via CLI prompts. `load_config` retrieves settings, allowing overrides from command-line arguments. Dependencies include `pathlib`, `ososedki_dl.config`, and `argparse.Namespace`.

```python
from pathlib import Path
from ososedki_dl.config import load_config, create_config_file
from ososedki_dl.consts import CONFIG_FILE
from argparse import Namespace

# Create config file interactively with GUI file picker
create_config_file(interactive=True)

# Create config file with CLI prompts
create_config_file(interactive=False)
# Prompts: "Enter the destination path (default: downloads):"
# User enters: /home/user/media
# Config saved to: ~/.config/ososedki_dl/ososedki_dl.ini

# Load configuration from file or command-line args
args = Namespace(
    dest_path=None,  # Will use config file value
    config_file=None,  # Use default location
    interactive=False
)

dest_path = load_config(args)
print(f"Using destination: {dest_path}")
# Output: Using destination: /home/user/media

# Override with command-line argument
args.dest_path = "/tmp/downloads"
dest_path = load_config(args)
print(f"Using destination: {dest_path}")
# Output: Using destination: /tmp/downloads

# Config file format (INI):
# [Paths]
# dest_path = /home/user/media

```

--------------------------------

### Python API - Programmatic Album Downloads

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Shows how to use the ososedki_dl Python API to download media from multiple album URLs asynchronously. It utilizes aiohttp for HTTP requests and a fake User-Agent for realism. The function `generic_download` handles the core downloading logic.

```python
import asyncio
from pathlib import Path
from aiohttp import ClientSession
from fake_useragent import UserAgent
from ososedki_dl.scrapper import generic_download

async def download_albums():
    """Download multiple albums programmatically."""
    urls = [
        "https://ososedki.com/photos/album123/",
        "https://waifubitches.com/albums/collection456/",
        "https://fapello.is/model/profile789/"
    ]

    download_path = Path("~/Downloads/scraped").expanduser()
    download_path.mkdir(parents=True, exist_ok=True)

    # Create session with realistic User-Agent
    ua = UserAgent(min_version=120.0)
    headers = {"User-Agent": ua.random}

    async with ClientSession(headers=headers) as session:
        await generic_download(
            session=session,
            urls=urls,
            download_path=download_path
        )

    # Output shows progress bars and summary:
    # Downloading Album Name...
    # ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% (45/45)
    #
    # Downloaded: 42
    # Skipped: 3
    # Errors: 0

asyncio.run(download_albums())
```

--------------------------------

### Download media using CyberDropDownloader

Source: https://github.com/yisuschrist/ososedki_dl/blob/main/README.md

Demonstrates how to use CyberDropDownloader to download media from URLs. This is a workaround for sites where ososedki_dl only scrapes media and provides URLs instead of direct downloads. You would replace <URL1>, <URL2>, etc. with the actual URLs scraped by ososedki_dl.

```sh
cyberdrop_dl <URL1> <URL2> <URL3> ...
```

--------------------------------

### Album Download Progress Bar with Ososedki DL

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

This Python snippet demonstrates how to display a real-time progress bar for downloading multiple items, such as images in an album. It utilizes the `AlbumProgress` class from `ososedki_dl.progress` to track the overall progress and advance the task for each item downloaded. The output provides a clear visual indication of the download status.

```python
import asyncio
from pathlib import Path
from ososedki_dl.progress import AlbumProgress

async def demo_album_progress():
    """Shows progress for downloading multiple items in an album."""
    media_urls = [f"https://example.com/img{i}.jpg" for i in range(50)]

    with AlbumProgress() as progress:
        task = progress.add_task(
            "[cyan]Downloading Summer Vacation Album...",
            total=len(media_urls)
        )

        for url in media_urls:
            # Simulate download
            await asyncio.sleep(0.1)
            progress.advance(task)

    # Output shows:
    # Downloading Summer Vacation Album... ━━━━━━━━━━━━━━━━━━ 100.0% (50/50) 500/s 0:00:10 0:00:00

# To run the async function:
# asyncio.run(demo_album_progress())

```

--------------------------------

### Fetch Utility - HTTP Request Handler (Python)

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Demonstrates how to use the `fetch` function from `ososedki_dl.download` to make HTTP requests. It shows fetching HTML as text, JSON data, binary content (like images), and obtaining the raw response object. The utility supports automatic retries on specific error codes and handles connection errors with delays.

```python
import asyncio
from aiohttp import ClientSession
from ososedki_dl.download import fetch

async def fetch_examples():
    """Demonstrate various fetch usage patterns."""
    async with ClientSession() as session:
        # Fetch HTML as text
        html = await fetch(
            session=session,
            url="https://example.com/page",
            response_property="text"
        )
        print(f"HTML length: {len(html)}")

        # Fetch JSON data
        data = await fetch(
            session=session,
            url="https://api.example.com/data",
            response_property="json"
        )
        print(f"JSON keys: {data.keys()}")

        # Fetch binary content
        image_bytes = await fetch(
            session=session,
            url="https://example.com/image.jpg",
            response_property="read"
        )
        print(f"Image size: {len(image_bytes)} bytes")

        # Get raw response object for manual processing
        response = await fetch(
            session=session,
            url="https://example.com/file",
            raw_response=True
        )
        content_type = response.headers.get("Content-Type")
        print(f"Content-Type: {content_type}")

        # Automatically retries on 429 (rate limit) and 503 (unavailable)
        # Falls back to synchronous requests on SSL errors
        # Waits 5 seconds between retries on connection errors

asyncio.run(fetch_examples())

```

--------------------------------

### Cache and Download Management with Ososedki DL

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

This snippet illustrates how to manage file downloads using a cache mechanism. It checks if a URL has been previously downloaded by hashing the URL and storing it in a cache file. If not found, it proceeds to download the file and marks it as cached. It also shows how to clear the entire cache. The `download_and_compare` function automatically handles caching checks.

```python
from ososedki_dl.download import download_and_compare
from aiohttp import ClientSession
from pathlib import Path
import asyncio

# Assume get_url_hashfile, write_to_cache, CACHE_PATH are defined elsewhere
# Example placeholder definitions:
def get_url_hashfile(url):
    class MockCacheFile:
        def exists(self):
            return False # Simulate not existing for demo
    return MockCacheFile()

def write_to_cache(url):
    print(f"Mock caching {url}")

CACHE_PATH = Path("./.cache")
if not CACHE_PATH.exists():
    CACHE_PATH.mkdir()

url = "https://example.com/media/image123.jpg"
cache_file = get_url_hashfile(url)

if cache_file.exists():
    print(f"Already downloaded: {url}")
else:
    # Download the file...
    print(f"Downloading: {url}")

    # Mark URL as downloaded
    write_to_cache(url)
    print(f"Cached: {cache_file}")
    # Creates empty marker file: .cache/<sha256_hash>

# Clear entire cache (example - use with caution)
# import shutil
# shutil.rmtree(CACHE_PATH)
# CACHE_PATH.mkdir()
# print("Cache cleared")

# The download_and_compare function automatically checks cache:
async def smart_download():
    async with ClientSession() as session:
        result = await download_and_compare(
            session=session,
            url="https://example.com/image.jpg",
            media_path=Path("./downloads/image.jpg")
        )
        # Returns {"status": "skipped"} if URL in cache
        # Returns {"status": "ok"} if downloaded
        print(result)

# To run the async function:
# asyncio.run(smart_download())

```

--------------------------------

### Sanitize Paths with ososedki_dl.utils

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Utilize functions from `ososedki_dl.utils` for creating safe and valid download paths from potentially untrusted input like album titles. `sanitize_path` removes invalid characters, `get_final_path` creates and validates the path (including directory creation), and `get_unique_filename` appends suffixes to avoid overwriting existing files. Dependencies include `pathlib`.

```python
from pathlib import Path
from ososedki_dl.utils import sanitize_path, get_final_path, get_unique_filename

# Sanitize untrusted path components (removes invalid characters)
base_path = Path("./downloads")
unsafe_title = 'Album: "Best <Photos> 2024" | Part 1?'

safe_path = sanitize_path(base_path, unsafe_title)
print(safe_path)
# Output: /absolute/path/downloads/Album__Best _Photos_ 2024_ _ Part 1_

# Create final path with validation and directory creation
try:
    final_path = get_final_path(
        download_path=Path("./downloads"),
        title="My Album Collection"
    )
    print(f"Created: {final_path}")
    # Output: Created: /absolute/path/downloads/My Album Collection
    # Directory is automatically created if it doesn't exist
except ValueError as e:
    print(f"Invalid path: {e}")
    # Raised if sanitized path escapes parent directory

# Generate unique filename if file exists (adds suffix)
original = Path("./downloads/image.jpg")
original.touch()  # Create file

unique = get_unique_filename(original)
print(unique)
# Output: ./downloads/image_1.jpg

unique2 = get_unique_filename(original)
print(unique2)
# Output: ./downloads/image_2.jpg (if image_1.jpg also exists)

```

--------------------------------

### Implement Custom Site Crawler with BaseCrawler

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Extend the BaseCrawler class to create a custom crawler for new sites. This involves defining site-specific logic for extracting media URLs and album titles. Dependencies include `pathlib`, `bs4`, and `ososedki_dl.crawlers.base_crawler`. The `download` method orchestrates the process using helper functions for media extraction and title retrieval.

```python
from pathlib import Path
from bs4 import BeautifulSoup
from ososedki_dl.crawlers.base_crawler import BaseCrawler
from ososedki_dl.download import SessionType

class MyCustomCrawler(BaseCrawler):
    """Crawler for custom album site."""

    site_url = "https://mysite.com"

    def __init__(self, session: SessionType, download_path: Path):
        super().__init__(session, download_path)
        self.headers = {"Referer": self.site_url}

    async def download(self, url: str) -> list[dict[str, str]]:
        """Download all media from an album URL."""

        async def extract_media_urls(soup: BeautifulSoup) -> list[str]:
            """Extract image/video URLs from page HTML."""
            media_urls = []
            # Find all image containers
            for img_tag in soup.find_all("img", class_="album-image"):
                if src := img_tag.get("data-src") or img_tag.get("src"):
                    media_urls.append(src)
            # Find video sources
            for video in soup.find_all("source", {"type": "video/mp4"}):
                if src := video.get("src"):
                    media_urls.append(src)
            return media_urls

        def extract_title(soup: BeautifulSoup) -> str:
            """Extract album title from page."""
            if title_elem := soup.find("h1", class_="album-title"):
                return title_elem.get_text(strip=True)
            return "Unknown Album"

        # Use base class method to handle fetching, parsing, and downloading
        return await self.process_album(
            album_url=url,
            media_filter=extract_media_urls,
            title_extractor=extract_title
        )

# Register the crawler by importing it in crawlers/__init__.py
# Then use it through generic_download()

```

--------------------------------

### Enable Cache for Deduplication with ososedki_dl

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Implement a deduplication system by enabling cache checking globally. This prevents re-downloading of already processed content. To activate, set the `CHECK_CACHE` constant to `True` within the `ososedki_dl.consts` module. Functions like `get_url_hashfile` and `write_to_cache` are available for managing cache entries.

```python
from pathlib import Path
from ososedki_dl.utils import get_url_hashfile, write_to_cache
from ososedki_dl.consts import CACHE_PATH

# Enable cache checking globally
from ososedki_dl import consts
consts.CHECK_CACHE = True


```

--------------------------------

### Python API - Individual Media Download

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

Demonstrates downloading and saving a single media file (image or video) using the ososedki_dl Python API. The `download_and_save_media` function automatically detects the media type and handles saving to the specified album path. It returns the status of the download operation.

```python
import asyncio
from pathlib import Path
from aiohttp import ClientSession
from ososedki_dl.download import download_and_save_media

async def download_single_media():
    """Download a single image or video with automatic format detection."""
    media_url = "https://cdn.example.com/media/image123.jpg"
    album_path = Path("./downloads/my_album")
    album_path.mkdir(parents=True, exist_ok=True)

    async with ClientSession() as session:
        result = await download_and_save_media(
            session=session,
            url=media_url,
            album_path=album_path,
            headers={"Referer": "https://example.com"}
        )

        # result = {"url": "https://...", "status": "ok"}
        # or {"url": "https://...", "status": "skipped"} if already exists
        # or {"url": "https://...", "status": "error: 404 Not Found"}

        if result["status"] == "ok":
            print(f"Successfully downloaded: {result['url']}")
        elif result["status"] == "skipped":
            print(f"Already exists, skipped: {result['url']}")
        else:
            print(f"Failed: {result['status']}")

asyncio.run(download_single_media())
```

--------------------------------

### Single Media File Download Progress Bar with Ososedki DL

Source: https://context7.com/yisuschrist/ososedki_dl/llms.txt

This Python snippet shows how to display detailed progress for downloading a single large file, like a video. It uses the `MediaProgress` class from `ososedki_dl.progress` to track the download status, including the filename, total size, and the amount downloaded. The `advance` method is used to update the progress bar as data chunks are received.

```python
import asyncio
from pathlib import Path
from ososedki_dl.progress import MediaProgress

async def demo_video_progress():
    """Shows detailed progress for a single large video file."""
    video_size = 104857600  # 100 MB

    with MediaProgress() as progress:
        task = progress.add_task(
            "Downloading",
            filename="vacation_4k.mp4",
            total=video_size
        )

        chunk_size = 8192
        downloaded = 0
        while downloaded < video_size:
            # Simulate chunk download
            await asyncio.sleep(0.01)
            downloaded += chunk_size
            progress.advance(task, chunk_size)

    # Output shows:
    # ⠹ vacation_4k.mp4 ━━━━━━━━━━━━━━━━━━ 100.0% 100.0/100.0 MB 10.2 MB/s 0:00:02 0:00:10

# To run the async function:
# asyncio.run(demo_video_progress())

```

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