DiƔrio Oficial is the Brazilian government gazette, one of the best places to know the latest actions of the public administration, with distinct publications in the federal, state and municipal levels.
Even with recurrent efforts of enforcing the Freedom of Information legislation across the country, official communication remains - in most of the territories - in PDFs.
The goal of this project is to upgrade DiƔrio Oficial to the digital age, centralizing information currently only available through separate sources.
When this project was initially released, had two distinct goals: creating crawlers for governments gazettes and parsing bidding exemptions from them. Now going forward, it is limited to the first objective.
The best way to understand how Querido DiƔrio works, is getting the source and run it locally. All crawlers are developed using Scrapy framework. They provide a tutorial so you can learn to use it.
If you are in a Windows computer, before you run the steps below you will need Microsoft Visual Build Tools (download here). When you start the installation you need to select 'C++ build tools' on Workload tab and also 'Windows 10 SDK' and 'MSVC v142 - VS 2019 C++ x64/x86 build tools' on Individual Components tab.
If you are in a Linux-like environment, the following commands will create a new virtual environment - that will keep everything isolated from your system - activate it and install all libraries needed to start running and developing new spiders.
$ python3 -m venv .venv
$ source .venv/bin/activate
$ pip install -r data_collection/requirements.txt
$ pre-commit installIn a Windows computer, you can use the code above. You just need to substitute source .venv/bin/activate for .venv/Scripts/activate.bat. The rest is the same as in Linux.
After configuring your environment, you will be able to execute and develop new spiders.
The Scrapy project is in data_collection directory, so you must enter in to execute the
spiders and the scrapy command:
$ cd data_collectionFollowing we list some helpful commands.
Get list of all available spiders:
$ scrapy listExecute spider with name spider_name:
$ scrapy crawl spider_nameYou can limit the gazettes you want to download passing start_date as argument with YYYY-MM-DD format. The
following command will download only gazettes which date is greater than 01/Sep/2020:
$ scrapy crawl sc_florianopolis -a start_date=2020-09-01You may end up in a situation where you have different cities using the same spider base,
such us FecamGazetteSpider. To avoid creating the spider files manually, you can use a script
for cases where we have a few spiders that are not complex and from the same spider base.
The spider template lives in the scripts/ folder. Here an example of a generated spider:
from datetime import date
from gazette.spiders.base import ImprensaOficialSpider
class BaGentioDoOuroSpider(ImprensaOficialSpider):
name = "ba_gentio_do_ouro"
allowed_domains = ["pmGENTIODOOUROBA.imprensaoficial.org"]
start_date = date(2017, 2, 1)
url_base = "http://pmGENTIODOOUROBA.imprensaoficial.org"
TERRITORY_ID = "2911303"
To run the script, you only need a CSV file following the structure below:
url,city,state,territory_id,start_day,start_month,start_year,base_class
http://pmXIQUEXIQUEBA.imprensaoficial.org,Xique-Xique,BA,2933604,1,1,2017,ImprensaOficialSpider
http://pmWENCESLAUGUIMARAESBA.imprensaoficial.org,Wenceslau GuimarĆ£es,BA,2933505,1,1,2017,ImprensaOficialSpider
http://pmVERACRUZBA.imprensaoficial.org,Vera Cruz,BA,2933208,1,4,2017,ImprensaOficialSpider
Once you have the CSV file, run the command:
cd scripts/
python generate_spiders.py new-spiders.csv
That's it. The new spiders will be in the directory data_collection/gazette/spiders/.
While running pip install command, you can get an error like below:
module.c:1:10: fatal error: Python.h: No such file or directory
#include <Python.h>
^~~~~~~~~~
compilation terminated.
error: command 'x86_64-linux-gnu-gcc' failed with exit status 1
Please try to install python3-dev. E.g. via apt install python3-dev, if you
is using a Debian-like distro, or use your distro manager package. Make sure that
you use the correct version (e.g. python3.6-dev or python3.7-dev). You can
check your version via python3 --version.
If you are interested in fixing issues and contributing directly to the code base, please see the document CONTRIBUTING.md.
This project is maintained by Open Knowledge Foundation Brasil, thanks to the support of Digital Ocean and hundreds of other names.