mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-23 23:48:56 +01:00
Remove Exiftool Dependency. Ignore legacy model warning on app start
-bf1ae038cb
Get XMP metadata from image using `Pillow`. Remove `ExifTool` dependency - Pillow library is already used in Khoj and it can extract XMP Metadata from Images - Reduce unmaintained dependencies by using Pillow instead of Exiftool - Pillow is much better maintained than my fork of the Exiftool python package -c16ae9e344
Ignore *"Legacy way to download model"* warning for upstream dependency
This commit is contained in:
commit
74f32eedb8
12 changed files with 39 additions and 356 deletions
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@ -4,7 +4,7 @@ LABEL org.opencontainers.image.source https://github.com/debanjum/khoj
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# Install System Dependencies
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RUN apt-get update -y && \
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apt-get -y install libimage-exiftool-perl python3-pyqt5
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apt-get -y install python3-pyqt5
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# Copy Application to Container
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COPY . /app
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@ -208,11 +208,7 @@ docker-compose build --pull
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#### Using Conda
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##### 1. Install Dependencies
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- [Install Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html) \[Required\]
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- Install Exiftool \[Optional\]
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``` shell
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sudo apt -y install libimage-exiftool-perl
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```
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- [Install Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)
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##### 2. Install Khoj
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```shell
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@ -254,4 +250,3 @@ pytest
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- Charles Cave for [OrgNode Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)
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- [Org.js](https://mooz.github.io/org-js/) to render Org-mode results on the Web interface
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- [Markdown-it](https://github.com/markdown-it/markdown-it) to render Markdown results on the Web interface
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- Sven Marnach for [PyExifTool](https://github.com/smarnach/pyexiftool/blob/master/exiftool.py)
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1
setup.py
1
setup.py
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@ -40,6 +40,7 @@ setup(
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"aiofiles == 0.8.0",
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"dateparser == 1.1.1",
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"pyqt6 == 6.3.1",
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"defusedxml == 0.7.1",
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],
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include_package_data=True,
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entry_points={"console_scripts": ["khoj = src.main:run"]},
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@ -8,6 +8,7 @@ from platform import system
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# Ignore non-actionable warnings
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warnings.filterwarnings("ignore", message=r'snapshot_download.py has been made private', category=FutureWarning)
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warnings.filterwarnings("ignore", message=r'legacy way to download files from the HF hub,', category=FutureWarning)
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# External Packages
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import uvicorn
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@ -4,13 +4,10 @@ from abc import ABC, abstractmethod
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class BaseFilter(ABC):
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@abstractmethod
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def load(self, *args, **kwargs):
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pass
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def load(self, *args, **kwargs): ...
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@abstractmethod
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def can_filter(self, raw_query:str) -> bool:
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pass
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def can_filter(self, raw_query:str) -> bool: ...
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@abstractmethod
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def apply(self, query:str, raw_entries:list[str]) -> tuple[str, set[int]]:
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pass
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def apply(self, query:str, raw_entries:list[str]) -> tuple[str, set[int]]: ...
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@ -13,8 +13,7 @@ from tqdm import trange
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import torch
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# Internal Packages
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from src.utils.helpers import get_absolute_path, resolve_absolute_path, load_model
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import src.utils.exiftool as exiftool
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from src.utils.helpers import get_absolute_path, get_from_dict, resolve_absolute_path, load_model
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from src.utils.config import ImageSearchModel
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from src.utils.rawconfig import ImageContentConfig, ImageSearchConfig
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@ -122,17 +121,18 @@ def compute_metadata_embeddings(image_names, encoder, embeddings_file, batch_siz
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def extract_metadata(image_name):
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with exiftool.ExifTool() as et:
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image_metadata = et.get_tags(["XMP:Subject", "XMP:Description"], str(image_name))
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image_metadata_subjects = set([subject.split(":")[1] for subject in image_metadata.get("XMP:Subject", "") if ":" in subject])
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image_xmp_metadata = Image.open(image_name).getxmp()
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image_description = get_from_dict(image_xmp_metadata, 'xmpmeta', 'RDF', 'Description', 'description', 'Alt', 'li', 'text')
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image_subjects = get_from_dict(image_xmp_metadata, 'xmpmeta', 'RDF', 'Description', 'subject', 'Bag', 'li')
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image_metadata_subjects = set([subject.split(":")[1] for subject in image_subjects if ":" in subject])
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image_processed_metadata = image_metadata.get("XMP:Description", "")
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if len(image_metadata_subjects) > 0:
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image_processed_metadata += ". " + ", ".join(image_metadata_subjects)
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image_processed_metadata = image_description
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if len(image_metadata_subjects) > 0:
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image_processed_metadata += ". " + ", ".join(image_metadata_subjects)
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logger.debug(f"{image_name}:\t{image_processed_metadata}")
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logger.debug(f"{image_name}:\t{image_processed_metadata}")
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return image_processed_metadata
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return image_processed_metadata
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def query(raw_query, count, model: ImageSearchModel):
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@ -1,325 +0,0 @@
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# -*- coding: utf-8 -*-
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# PyExifTool <http://github.com/smarnach/pyexiftool>
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# Copyright 2012 Sven Marnach
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# This file is part of PyExifTool.
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#
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# PyExifTool is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the licence, or
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# (at your option) any later version, or the BSD licence.
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#
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# PyExifTool is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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#
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# See COPYING.GPL or COPYING.BSD for more details.
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"""
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PyExifTool is a Python library to communicate with an instance of Phil
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Harvey's excellent ExifTool_ command-line application. The library
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provides the class :py:class:`ExifTool` that runs the command-line
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tool in batch mode and features methods to send commands to that
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program, including methods to extract meta-information from one or
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more image files. Since ``exiftool`` is run in batch mode, only a
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single instance needs to be launched and can be reused for many
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queries. This is much more efficient than launching a separate
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process for every single query.
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.. _ExifTool: http://www.sno.phy.queensu.ca/~phil/exiftool/
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The source code can be checked out from the github repository with
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::
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git clone git://github.com/smarnach/pyexiftool.git
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Alternatively, you can download a tarball_. There haven't been any
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releases yet.
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.. _tarball: https://github.com/smarnach/pyexiftool/tarball/master
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PyExifTool is licenced under GNU GPL version 3 or later.
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Example usage::
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import exiftool
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files = ["a.jpg", "b.png", "c.tif"]
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with exiftool.ExifTool() as et:
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metadata = et.get_metadata_batch(files)
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for d in metadata:
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print("{:20.20} {:20.20}".format(d["SourceFile"],
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d["EXIF:DateTimeOriginal"]))
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"""
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from __future__ import unicode_literals
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import sys
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import subprocess
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import os
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import json
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import warnings
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import codecs
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try: # Py3k compatibility
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basestring
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except NameError:
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basestring = (bytes, str)
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executable = "exiftool"
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"""The name of the executable to run.
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If the executable is not located in one of the paths listed in the
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``PATH`` environment variable, the full path should be given here.
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"""
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# Sentinel indicating the end of the output of a sequence of commands.
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# The standard value should be fine.
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sentinel = b"{ready}"
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# The block size when reading from exiftool. The standard value
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# should be fine, though other values might give better performance in
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# some cases.
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block_size = 4096
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# This code has been adapted from Lib/os.py in the Python source tree
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# (sha1 265e36e277f3)
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def _fscodec():
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encoding = sys.getfilesystemencoding()
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errors = "strict"
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if encoding != "mbcs":
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try:
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codecs.lookup_error("surrogateescape")
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except LookupError:
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pass
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else:
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errors = "surrogateescape"
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def fsencode(filename):
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"""
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Encode filename to the filesystem encoding with 'surrogateescape' error
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handler, return bytes unchanged. On Windows, use 'strict' error handler if
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the file system encoding is 'mbcs' (which is the default encoding).
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"""
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if isinstance(filename, bytes):
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return filename
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else:
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return filename.encode(encoding, errors)
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return fsencode
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fsencode = _fscodec()
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del _fscodec
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class ExifTool(object):
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"""Run the `exiftool` command-line tool and communicate to it.
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You can pass the file name of the ``exiftool`` executable as an
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argument to the constructor. The default value ``exiftool`` will
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only work if the executable is in your ``PATH``.
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Most methods of this class are only available after calling
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:py:meth:`start()`, which will actually launch the subprocess. To
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avoid leaving the subprocess running, make sure to call
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:py:meth:`terminate()` method when finished using the instance.
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This method will also be implicitly called when the instance is
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garbage collected, but there are circumstance when this won't ever
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happen, so you should not rely on the implicit process
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termination. Subprocesses won't be automatically terminated if
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the parent process exits, so a leaked subprocess will stay around
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until manually killed.
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A convenient way to make sure that the subprocess is terminated is
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to use the :py:class:`ExifTool` instance as a context manager::
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with ExifTool() as et:
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...
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.. warning:: Note that there is no error handling. Nonsensical
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options will be silently ignored by exiftool, so there's not
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much that can be done in that regard. You should avoid passing
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non-existent files to any of the methods, since this will lead
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to undefied behaviour.
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.. py:attribute:: running
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A Boolean value indicating whether this instance is currently
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associated with a running subprocess.
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"""
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def __init__(self, executable_=None):
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if executable_ is None:
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self.executable = executable
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else:
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self.executable = executable_
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self.running = False
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def start(self):
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"""Start an ``exiftool`` process in batch mode for this instance.
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This method will issue a ``UserWarning`` if the subprocess is
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already running. The process is started with the ``-G`` and
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``-n`` as common arguments, which are automatically included
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in every command you run with :py:meth:`execute()`.
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"""
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if self.running:
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warnings.warn("ExifTool already running; doing nothing.")
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return
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with open(os.devnull, "w") as devnull:
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self._process = subprocess.Popen(
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[self.executable, "-stay_open", "True", "-@", "-",
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"-common_args", "-G", "-n"],
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stdin=subprocess.PIPE, stdout=subprocess.PIPE,
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stderr=devnull)
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self.running = True
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def terminate(self):
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"""Terminate the ``exiftool`` process of this instance.
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If the subprocess isn't running, this method will do nothing.
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"""
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if not self.running:
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return
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self._process.stdin.write(b"-stay_open\nFalse\n")
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self._process.stdin.flush()
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self._process.communicate()
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del self._process
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self.running = False
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def __enter__(self):
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self.start()
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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self.terminate()
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def __del__(self):
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self.terminate()
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def execute(self, *params):
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"""Execute the given batch of parameters with ``exiftool``.
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This method accepts any number of parameters and sends them to
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the attached ``exiftool`` process. The process must be
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running, otherwise ``ValueError`` is raised. The final
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``-execute`` necessary to actually run the batch is appended
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automatically; see the documentation of :py:meth:`start()` for
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the common options. The ``exiftool`` output is read up to the
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end-of-output sentinel and returned as a raw ``bytes`` object,
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excluding the sentinel.
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The parameters must also be raw ``bytes``, in whatever
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encoding exiftool accepts. For filenames, this should be the
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system's filesystem encoding.
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.. note:: This is considered a low-level method, and should
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rarely be needed by application developers.
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"""
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if not self.running:
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raise ValueError("ExifTool instance not running.")
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self._process.stdin.write(b"\n".join(params + (b"-execute\n",)))
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self._process.stdin.flush()
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output = b""
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fd = self._process.stdout.fileno()
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while not output[-32:].strip().endswith(sentinel):
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output += os.read(fd, block_size)
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return output.strip()[:-len(sentinel)]
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def execute_json(self, *params):
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"""Execute the given batch of parameters and parse the JSON output.
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This method is similar to :py:meth:`execute()`. It
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automatically adds the parameter ``-j`` to request JSON output
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from ``exiftool`` and parses the output. The return value is
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a list of dictionaries, mapping tag names to the corresponding
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values. All keys are Unicode strings with the tag names
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including the ExifTool group name in the format <group>:<tag>.
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The values can have multiple types. All strings occurring as
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values will be Unicode strings. Each dictionary contains the
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name of the file it corresponds to in the key ``"SourceFile"``.
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The parameters to this function must be either raw strings
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(type ``str`` in Python 2.x, type ``bytes`` in Python 3.x) or
|
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Unicode strings (type ``unicode`` in Python 2.x, type ``str``
|
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in Python 3.x). Unicode strings will be encoded using
|
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system's filesystem encoding. This behaviour means you can
|
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pass in filenames according to the convention of the
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respective Python version – as raw strings in Python 2.x and
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as Unicode strings in Python 3.x.
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"""
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params = map(fsencode, params)
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return json.loads(self.execute(b"-j", *params).decode("utf-8"))
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def get_metadata_batch(self, filenames):
|
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"""Return all meta-data for the given files.
|
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The return value will have the format described in the
|
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documentation of :py:meth:`execute_json()`.
|
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"""
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return self.execute_json(*filenames)
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def get_metadata(self, filename):
|
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"""Return meta-data for a single file.
|
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The returned dictionary has the format described in the
|
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documentation of :py:meth:`execute_json()`.
|
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"""
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return self.execute_json(filename)[0]
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def get_tags_batch(self, tags, filenames):
|
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"""Return only specified tags for the given files.
|
||||
|
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The first argument is an iterable of tags. The tag names may
|
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include group names, as usual in the format <group>:<tag>.
|
||||
|
||||
The second argument is an iterable of file names.
|
||||
|
||||
The format of the return value is the same as for
|
||||
:py:meth:`execute_json()`.
|
||||
"""
|
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# Explicitly ruling out strings here because passing in a
|
||||
# string would lead to strange and hard-to-find errors
|
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if isinstance(tags, basestring):
|
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raise TypeError("The argument 'tags' must be "
|
||||
"an iterable of strings")
|
||||
if isinstance(filenames, basestring):
|
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raise TypeError("The argument 'filenames' must be "
|
||||
"an iterable of strings")
|
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params = ["-" + t for t in tags]
|
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params.extend(filenames)
|
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return self.execute_json(*params)
|
||||
|
||||
def get_tags(self, tags, filename):
|
||||
"""Return only specified tags for a single file.
|
||||
|
||||
The returned dictionary has the format described in the
|
||||
documentation of :py:meth:`execute_json()`.
|
||||
"""
|
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return self.get_tags_batch(tags, [filename])[0]
|
||||
|
||||
def get_tag_batch(self, tag, filenames):
|
||||
"""Extract a single tag from the given files.
|
||||
|
||||
The first argument is a single tag name, as usual in the
|
||||
format <group>:<tag>.
|
||||
|
||||
The second argument is an iterable of file names.
|
||||
|
||||
The return value is a list of tag values or ``None`` for
|
||||
non-existent tags, in the same order as ``filenames``.
|
||||
"""
|
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data = self.get_tags_batch([tag], filenames)
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result = []
|
||||
for d in data:
|
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d.pop("SourceFile")
|
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result.append(next(iter(d.values()), None))
|
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return result
|
||||
|
||||
def get_tag(self, tag, filename):
|
||||
"""Extract a single tag from a single file.
|
||||
|
||||
The return value is the value of the specified tag, or
|
||||
``None`` if this tag was not found in the file.
|
||||
"""
|
||||
return self.get_tag_batch(tag, [filename])[0]
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|
@ -96,12 +96,6 @@ docker-compose build --pull
|
|||
Conda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html)
|
||||
\[Required\]
|
||||
|
||||
3. Install Exiftool \[Optional\]
|
||||
|
||||
``` shell
|
||||
sudo apt-get -y install libimage-exiftool-perl
|
||||
```
|
||||
|
||||
2. 2\. Install Khoj
|
||||
|
||||
``` shell
|
||||
|
@ -149,5 +143,3 @@ conda activate khoj
|
|||
Documentation](https://www.sbert.net/examples/applications/image-search/README.html)
|
||||
- Charles Cave for [OrgNode
|
||||
Parser](http://members.optusnet.com.au/~charles57/GTD/orgnode.html)
|
||||
- Sven Marnach for
|
||||
[PyExifTool](https://github.com/smarnach/pyexiftool/blob/master/exiftool.py)
|
||||
|
|
|
@ -25,6 +25,28 @@ def test_image_search_setup(content_config: ContentConfig, search_config: Search
|
|||
assert len(image_search_model.image_embeddings) == 3
|
||||
|
||||
|
||||
def test_image_metadata(content_config: ContentConfig):
|
||||
"Verify XMP Description and Subjects Extracted from Image"
|
||||
# Arrange
|
||||
expected_metadata_image_name_pairs = [
|
||||
(["Billi Ka Bacha.", "Cat", "Grass"], "kitten_park.jpg"),
|
||||
(["Pasture.", "Horse", "Dog"], "horse_dog.jpg"),
|
||||
(["Guinea Pig Eating Celery.", "Rodent", "Whiskers"], "guineapig_grass.jpg")]
|
||||
|
||||
test_image_paths = [
|
||||
Path(content_config.image.input_directories[0] / image_name[1])
|
||||
for image_name in expected_metadata_image_name_pairs
|
||||
]
|
||||
|
||||
for expected_metadata, test_image_path in zip(expected_metadata_image_name_pairs, test_image_paths):
|
||||
# Act
|
||||
actual_metadata = image_search.extract_metadata(test_image_path)
|
||||
|
||||
# Assert
|
||||
for expected_snippet in expected_metadata[0]:
|
||||
assert expected_snippet in actual_metadata
|
||||
|
||||
|
||||
# ----------------------------------------------------------------------------------------------------
|
||||
def test_image_search(content_config: ContentConfig, search_config: SearchConfig):
|
||||
# Arrange
|
||||
|
|
Loading…
Reference in a new issue