act-scio 0.0.7

ACT SCIO

act-scio2

Scio v2 is a reimplementation of Scio in Python3.

Scio uses tika to extract text from documents (PDF, HTML, DOC, etc).

The result is sent to the Scio Analyzer that extracts information using a combination of NLP (Natural Language Processing) and pattern matching.

Source code

The source code the workers are available on github.

Setup

To setup, first install from PyPi:

sudo pip3 install act-scio

You will also need to install beanstalkd. On debian/ubuntu you can run:

sudo apt install beanstalkd

You then need to install NLTK data files. A helper utility to do this is included:

scio-nltk-download

You will also need to create a default configuration:

scio-config user

API

To run the api, execute:

scio-api

This will setup the API on 127.0.0.1:3000. Use --port <PORT> and --host <IP> to listen on another port and/or another interface.

Configuration

You can create a default configuration using this command (should be run as the user running scio):

scio-config user

Common configuration can be found under ~/.config/scio/etc/scio.ini

Running Manually

Scio Tika Server

The Scio Tika server reads jobs from the beanstalk tube scio_doc and the extracted text will be sent to the tube scio_analyze.

The first time the server runs, it will download tika using maven. It will use a proxy if $https_proxy is set.

scio-tika-server

Scio Analyze Server

Scio Analyze Server reads (by default) jobs from the beanstalk tube scio_analyze.

scio-analyze

You can also read directly from stdin like this:

echo "The companies in the Bus; Finanical, Aviation and Automobile industry are large." | scio-analyze --beanstalk=

Running as a service

Systemd compatible service scripts can be found under examples/systemd.

To install:

sudo cp examples/systemd/*.service /usr/lib/systemd/system
sudo systemctl enable scio-tika-server
sudo systemctl enable scio-analyze
sudo service start scio-tika-server
sudo service start scio-analyze

Local development

Use pip to install in local development mode. act-scio uses namespacing, so it is not compatible with using setup.py install or setup.py develop.

In repository, run:

pip3 install --user -e .