A Python port of the Apache Tika library that makes Tika available using the Tika REST Server.
This makes Apache Tika available as a Python library, installable via Setuptools, Pip and Easy Install.
To use this library, you need to have Java 7+ installed on your system as tika-python starts up the Tika REST server in the background.
Inspired by Aptivate Tika.
pip install tika
python setup.py buildpython setup.py install
To get this working in a disconnected environment, download a tika server file (both tika-server.jar and tika-server.jar.md5, which can be found here) and set the TIKA_SERVER_JAR environment variable to TIKA_SERVER_JAR="file:////tika-server-standard.jar" which successfully tells python-tika to "download" this file and move it to /tmp/tika-server-standard.jar and run as background process.
This is the only way to run python-tika without internet access. Without this set, the default is to check the tika version and pull latest every time from Apache.
These are read once, when tika/tika.py is initially loaded and used throughout after that.
TIKA_VERSION- set to the version string, e.g., 1.12 or default to current Tika version.TIKA_SERVER_JAR- set to the full URL to the remote Tika server jar to download and cache.TIKA_SERVER_ENDPOINT- set to the host (local or remote) for the running Tika server jar.TIKA_CLIENT_ONLY- if set to True, thenTIKA_SERVER_JARis ignored, and relies on the value forTIKA_SERVER_ENDPOINTand treats Tika like a REST client.TIKA_TRANSLATOR- set to the fully qualified class name (defaults to Lingo24) for the Tika translator implementation.TIKA_SERVER_CLASSPATH- set to a string (delimited by ':' for each additional path) to prepend to the Tika server jar path.TIKA_LOG_PATH- set to a directory with write permissions and thetika.logandtika-server.logfiles will be placed in this directory.TIKA_PATH- set to a directory with write permissions and thetika_server.jarfile will be placed in this directory.TIKA_JAVA- set the Java runtime name, e.g.,javaorjava9TIKA_STARTUP_SLEEP- number of seconds (float) to wait per check if Tika server is launched at runtimeTIKA_STARTUP_MAX_RETRY- number of checks (int) to attempt for Tika server startup if launched at runtimeTIKA_JAVA_ARGS- set java runtime arguments, e.g,-Xmx4gTIKA_LOG_FILE- set the filename for the log file. default:tika.log. if it is an empty string (''), no log file is created.
#!/usr/bin/env python
import tika
tika.initVM()
from tika import parser
parsed = parser.from_file('/path/to/file')
print(parsed["metadata"])
print(parsed["content"])The parser interface extracts text and metadata using the /rmeta interface. This is one of the better ways to get the internal XHTML content extracted.
Note:
The parser interface needs the following environment variable set on the console for printing of the extracted content.
export PYTHONIOENCODING=utf8
#!/usr/bin/env python
import tika
from tika import parser
parsed = parser.from_file('/path/to/file')
print(parsed["metadata"])
print(parsed["content"])Optionally, you can pass Tika server URL along with the call what's useful for multi-instance execution or when Tika is dockerzed/linked.
parsed = parser.from_file('/path/to/file', 'http://tika:9998/tika')
string_parsed = parser.from_buffer('Good evening, Dave', 'http://tika:9998/tika')You can also pass a binary stream
with open(file, 'rb') as file_obj:
response = tika.parser.from_file(file_obj)
Since Tika 1.24.1 gzip compression of input and output streams is allowed.
Input compression can be achieved with gzip or zlib:
import zlib
with open(file, 'rb') as file_obj:
return tika.parser.from_buffer(zlib.compress(file_obj.read()))
...
import gzip
with open(file, 'rb') as file_obj:
return tika.parser.from_buffer(gzip.compress(file_obj.read()))
And output with the header:
with open(file, 'rb') as file_obj:
return tika.parser.from_file(file_obj, headers={'Accept-Encoding': 'gzip, deflate'})
The parser interface is optionally able to output the content as XHTML rather than plain text.
Note:
The parser interface needs the following environment variable set on the console for printing of the extracted content.
export PYTHONIOENCODING=utf8
#!/usr/bin/env python
import tika
from tika import parser
parsed = parser.from_file('/path/to/file', xmlContent=True)
print(parsed["metadata"])
print(parsed["content"])
# Note: This is also available when parsing from the buffer.The unpack interface handles both metadata and text extraction in a single call and internally returns back a tarball of metadata and text entries that is internally unpacked, reducing the wire load for extraction.
#!/usr/bin/env python
import tika
from tika import unpack
parsed = unpack.from_file('/path/to/file')The detect interface provides a IANA MIME type classification for the provided file.
#!/usr/bin/env python
import tika
from tika import detector
print(detector.from_file('/path/to/file'))The config interface allows you to inspect the Tika Server environment's configuration including what parsers, mime types, and detectors the server has been configured with.
#!/usr/bin/env python
import tika
from tika import config
print(config.getParsers())
print(config.getMimeTypes())
print(config.getDetectors())The language detection interface provides a 2 character language code texted based on the text in provided file.
#!/usr/bin/env python
from tika import language
print(language.from_file('/path/to/file'))The translate interface translates the text automatically extracted by Tika from the source language to the destination language.
#!/usr/bin/env python
from tika import translate
print(translate.from_file('/path/to/spanish', 'es', 'en'))Note you can also use a Parser and Detector .from_buffer(string|BufferedIOBase) method to dynamically parser a string or bytes buffer in Python and/or detect its MIME type. This is useful if you've already loaded the content into memory.
string_parsed = parser.from_buffer('Good evening, Dave')
byte_data: bytes = b'B\xc3\xa4ume'
parsed = parser.from_buffer(io.BytesIO(byte_data))You can set Tika to use Client only mode by setting
import tika
tika.TikaClientOnly = TrueThen you can run any of the methods and it will fully omit the check to see if the service on localhost is running and omit printing the check messages.
You can update the classpath that Tika server uses by setting the classpath as a set of ':' delimited strings. For example if you want to get Tika-Python working with GeoTopicParsing, you can do this, replace paths below with your own paths, as identified here and make sure that you have done this:
kill Tika server (if already running):
ps aux | grep java | grep Tika
kill -9 PIDimport tika.tika
import os
from tika import parser
home = os.getenv('HOME')
tika.tika.TikaServerClasspath = home + '/git/geotopicparser-utils/mime:'+home+'/git/geotopicparser-utils/models/polar'
parsed = parser.from_file(home + '/git/geotopicparser-utils/geotopics/polar.geot')
print parsed["metadata"]You may customize the outgoing HTTP request to Tika server by setting requestOptions on the .from_file and .from_buffer methods (Parser, Unpack , Detect, Config, Language, Translate). It should be a dictionary of arguments that will be passed to the request method. The request method documentation specifies valid arguments. This will override any defaults except for url and params /data.
from tika import parser
parsed = parser.from_file('/path/to/file', requestOptions={'timeout': 120})When you install Tika-Python you also get a new command
line client tool, tika-python installed in your /path/to/python/bin
directory.
The options and help for the command line tool can be seen by typing
tika-python without any arguments. This will also download a copy of
the tika-server jar and start it if you haven't done so already.
tika.py [-v] [-o <outputDir>] [--server <TikaServerEndpoint>] [--install <UrlToTikaServerJar>] [--port <portNumber>] <command> <option> <urlOrPathToFile>
tika.py parse all test.pdf test2.pdf (write output JSON metadata files for test1.pdf_meta.json and test2.pdf_meta.json)
tika.py detect type test.pdf (returns mime-type as text/plain)
tika.py language file french.txt (returns language e.g., fr as text/plain)
tika.py translate fr:en french.txt (translates the file french.txt from french to english)
tika.py config mime-types (see what mime-types the Tika Server can handle)
A simple python and command-line client for Tika using the standalone Tika server (JAR file).
All commands return results in JSON format by default (except text in text/plain).
To parse docs, use:
tika.py parse <meta | text | all> <path>
To check the configuration of the Tika server, use:
tika.py config <mime-types | detectors | parsers>
Commands:
parse = parse the input file and write a JSON doc file.ext_meta.json containing the extracted metadata, text, or both
detect type = parse the stream and 'detect' the MIME/media type, return in text/plain
language file = parse the file stream and identify the language of the text, return its 2 character code in text/plain
translate src:dest = parse and extract text and then translate the text from source language to destination language
config = return a JSON doc describing the configuration of the Tika server (i.e. mime-types it
can handle, or installed detectors or parsers)
Arguments:
urlOrPathToFile = file to be parsed, if URL it will first be retrieved and then passed to Tika
Switches:
--verbose, -v = verbose mode
--encode, -e = encode response in UTF-8
--csv, -c = report detect output in comma-delimited format
--server <TikaServerEndpoint> = use a remote Tika Server at this endpoint, otherwise use local server
--install <UrlToTikaServerJar> = download and exec Tika Server (JAR file), starting server on default port 9998
Example usage as python client:
-- from tika import runCommand, parse1
-- jsonOutput = runCommand('parse', 'all', filename)
or
-- jsonOutput = parse1('all', filename)Send them to Chris A. Mattmann.
- Chris A. Mattmann, JPL
- Brian D. Wilson, JPL
- Dongni Zhao, USC
- Kenneth Durri, University of Maryland
- Tyler Palsulich, New York University & Google
- Joe Germuska, Northwestern University
- Vlad Shvedov, Profinda.com
- Diogo Vieira, Globo.com
- Aron Ahmadia, Continuum Analytics
- Karanjeet Singh, USC
- Renat Nasyrov, Yandex
- James Brooking, Blackbeard
- Yash Tanna, USC
- Igor Tokarev, Freelance
- Imraan Parker, Freelance
- Annie K. Didier, JPL
- Juan Elosua, TEGRA Cybersecurity Center
- Carina de Oliveira Antunes, CERN
- Ana Mensikova, JPL
Thanks to the DARPA MEMEX program for funding most of the original portions of this work.
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