lunafind 0.5.4.post1

them back from the command line without setting up any service or database.
Home-page: https://github.com/mirukan/lunafind
Author: miruka
Author-email: miruka@disroot.org
License: LGPLv3
Description: # lunafind

[](
http://pepy.tech/project/lunafind)
[](
https://pypi.org/projects/lunafind)
[](
https://pypi.python.org/pypi/lunafind)

Search, filter, inspect, download posts from Danbooru/Safebooru and find them
back from the command line without setting up any service or database.

Suitable for daily terminal usage, usable for scripts and as a library
for Python 3.6+.

See also [lunasync](https://github.com/mirukan/lunasync) to automatically
download and keep in sync particular tags using **lunafind**,
similar to Danbooru tag subscriptions or saved searches.

## Features

- Operate on tag searches, URLs or file paths
- Combine results from multiple searches
- Banned/hidden posts are automatically
[decensored](https://github.com/mirukan/pydecensooru) when possible
- Specify custom page ranges, or just get everything
- Filter and order booru results to work around the two tags search limit
- Optional partial/fuzzy tag matching for filter and local searches
- Search downloaded posts by tags as if they were on a booru, without the
hassle of setting up one
- Instant results from local searches in most cases after indexing
- Fast multithreaded downloads; 8 downloads in parallel by default
- Supports operating on post media (image, ugoira WebM, etc), info, notes,
artist commentaries:
- Getting the URLs or file/folder paths
- Printing on standard output
- Downloading

## Local searches performance

The first time a local post search is done, an index file to speed up future
searches will be automatically created and updated when new post directories
exist or are removed.

Tests with ~165 000 posts in the same directory,
a CPU with average single-core performance
(AMD FX-8300 - there is no benefit yet from multiple cores),
generic 7200 RPM hard disk, BTRFS file system, Void Linux 4.18.14 x86\_64:
- It takes about 2m30s - 3m to index everything from scratch.
- After this, search results start coming instantly unless `--random` or
`--order` is used.
- Searches finish completely in 8-20s.

## Command line usage

Downloading to the current folder every post tagged *blonde* and *2girls*
(default booru is <https://danbooru.donmai.us>):

```sh
lunafind "blonde 2girls" --limit 200 --pages all --download .
```

Searching through the posts we just downloaded,
printing image paths for the results:

```sh
lunafind "blonde blue_eyes rating:s score:>5" --source . --show-location media
```

See `lunafind --help` for all options and examples.

## Python usage

No real documentation yet. Three main classes are provided:

- `Post`: represents a local or remote single post, with its info, media, notes
and artcom (artist commentary).

- `Album`: works like a dictionary of `Post`, where keys are the post IDs.
Has magic methods and operators to facilitate working with them.
Can be filtered, ordered, downloaded, and more.

- `Stream`: an efficiant lazy iterator yielding posts.
Can be filtered and multithread-downloaded.

Reproducing the command line examples in the section above:

```python3
from lunafind import Stream

Stream("blonde 2girls", limit=200, pages="all").download()

for post in Stream("blonde blue_eyes rating:s score:>5", client="."):
print(post.get_location("media"))
```

## Installation

Requires Python 3.6+ and pip (for automatic easy install).
Tested on GNU/Linux and Windows 7, probably works on OSX and other POSIX
systems.
As root:

```sh
pip3 install -U lunafind
```

Keywords: lunakit lunasync booru danbooru api client image ugoira anime cli terminal scrap tag search filter order download
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: Environment :: Console
Classifier: Topic :: Utilities
Classifier: Topic :: Internet :: WWW/HTTP :: Indexing/Search
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown