GRNTI grabber tools

Description

GRNTI stands for russian science classification system (ГРНТИ, Государственный рубрикатор научно-технической информации).

The toolset constist of two utils:

• The first one is designed to grab information from site http://grnti.ru;
• And the last one is used to produce EPrints-compatible XML output.

Setup

Install pipenv to run grnti-grabber in isolated environment:

pip3 install --user pipenv

Set up pipenv (run inside proect folderj):

pipenv install -e .

Using

You should have python3 installed on your computer. Utils were tested on Linux OS (debian) only.

The typical usecase is presented below.

$ time python3 bin/grnti-download.py > data/grnti-$(date +%Y-%m-%d).txt

real    66m12.275s
user    16m23.076s
sys     0m2.908s

$ python3 bin/grnti-plain2xml.py data/grnti-$(date +%Y-%m-%d).txt > data/grnti-$(date +%Y-%m-%d).xml 
$ python3 bin/grnti-xml2json.py data/grnti-$(date +%Y-%m-%d).xml > data/grnti-$(date +%Y-%m-%d).json 
$ python3 bin/grnti-plain2csv.py data/grnti-$(date +%Y-%m-%d).txt > data/grnti-$(date +%Y-%m-%d).csv 

And that is all.

For the purpose of verification I dump it here:

$ wc -l data/grnti-$(date +%Y-%m-%d).*
   8028 grnti-2015-10-26.txt
 104394 grnti-2015-10-26.xml
 112422 total

$ ls -l data/grnti-$(date +%Y-%m-%d).*
-rw-r--r-- 1 user user  707758 Oct 26 17:33 grnti-2015-10-26.txt
-rw-r--r-- 1 user user 2420290 Oct 26 18:05 grnti-2015-10-26.xml

$ sha1sum data/grnti-$(date +%Y-%m-%d).*
f0250b68c39eb45204dc165f6970fb4781127014  grnti-2015-10-26.txt
d57b049a56fb7eed5136e2cf12287dabc453d55c  grnti-2015-10-26.xml

Grab latest version:

time python3 bin/grnti-download.py > data/grnti-latest.txt
python3 bin/grnti-plain2xml.py data/grnti-latest.txt > data/grnti-latest.xml 
python3 bin/grnti-xml2json.py data/grnti-latest.xml > data/grnti-latest.json
python3 bin/grnti-plain2csv.py data/grnti-latest.txt > data/grnti-latest.csv

Contributing

Build package metadata:

python3 setup.py develop --user

Running in pipenv:

pipenv run python3 bin/grnti-download.py

Packaging tutorial: https://python-packaging.readthedocs.io/en/latest/

Keywords

ГРНТИ, рубрикатор, машиночитаемыe данные, machine-readable data, XML, EPrints