trackthenews
is the script that powers @FOIAfeed, a Twitter bot that monitors news outlets for reporting that incorporates public records laws like the Freedom of Information Act (FOIA), and tweets links to and excerpts from matching articles. The underlying software can track any collection of RSS feeds for any keywords.
If you want to run your own instance of trackthenews
, you can download and install the package, and run its built-in configuration process. It can be installed with pip
:
Python 3.11 is what we currently test against, though it may work with other versions.
pip3 install trackthenews
or by cloning the GitHub repository and running setup.py
:
python3 setup.py install
Once it is installed, you can create a configuration by running the following command in the appropriate directory:
trackthenews --config
By default, the script will place all configuration files in a new ttnconfig
folder in your current working directory, but you can also designate a directory for it to use.
python3 trackthenews --config ~/foo/bar/path
That configuration process will create the necessary files and walk you through setting up a Twitter bot for matching stories. After it is configured, you'll need to use a text editor to add the matchwords
and RSS feeds to their respective files.
Sample RSS feed and matchword files can be found in the project's GitHub repo. The RSS feed file is a JSON array of objects corresponding to each feed. Each object requires a url
field, and should also have an outlet
field.
The next two fields are optional: if you know the feed uses redirect URLs, you may set redirectLinks
to true
and the script will attempt to follow those redirects to store and tweet canonical URLs; if the feed uses URLs that depend on query- or hash-strings to display correctly—basically, if the content relies on text in the URL bar after a ?
or #
—you can set delicateURLs
to true
and the script will leave the URLs exactly as is.
Once you've got everything set up, you can run the program without the --config
flag to check for matching articles.
trackthenews
If you designated a custom installation directory, or if you're running it from another directory (or a cron
job, for example) you will need to designate the directory in which the configuration files are installed.
trackthenews ~/foo/bar/path
Settings, such as the background color for new posts, the font, and the user-agent, are all located in config.yaml
, in the designated configuration directory.
Most of the script is dedicated to the Article
class.
Article
s are created based on inputs. Currently those inputs are RSS feeds, which are stored inrssfeeds.json
, but in future versions other inputs will include direct URLs, news APIs, Twitter feeds, or scraped pages.- A series of
Article
methods then scrape and isolate the contents of each article (currently that cleanup is done with a Python port of Readability, but future versions may incorporate some per-site parsing), check whether it's suitable for posting, and then prepare images for tweeting. - Finally, the
Article
tweets itself.
All articles are recorded in a sqlite database.
In some cases, you may wish to suppress articles or paragraphs from being posted, even though they would otherwise match. To do so, implement a CustomBlocklist class following the abstract base class template in trackthenews/base_blocklist.py
, and drop it as a file named blocklist.py
in your ttnconfig
directory.
You can import the bs4
library in blocklist.py
for advanced parsing.
poetry env use 3.11 # Necessary if you have a different default python version
poetry install
poetry run trackthenews sample_project
# Follow the setup script instructions
cat sample_project/matchlist-sample.txt > sample_project/matchlist.txt
cat sample_project/rssfeeds-sample.json > sample_project/rssfeeds.json
poetry run trackthenews sample_project
To develop trackthenews
, clone the repository and install the package using poetry and run the CLI tool:
# Ensure you're using Python 3.11
poetry env use 3.11
# This will create a virtual environment and install trackthenews and its dependencies
poetry install --with=dev
# This will run the setup script
poetry run trackthenews sample_project
On first run this will take you through the interactive setup process. Follow the instructions. You will need a Twitter account with application keys and/or a Mastodon account.
When the setup process is complete, the configuration for your bot will live in the sample_project
directory. Fill out the matchlist.txt
, matchlist_case_sensitive.txt
, and rssfeeds.json
files or copy configuration from the provided samples:
cat sample_project/matchlist-sample.txt > sample_project/matchlist.txt
cat sample_project/rssfeeds-sample.json > sample_project/rssfeeds.json
matchlist_case_sensitive.txt
is optional and we don't provide a sample.
Now run the bot:
poetry run trackthenews sample_project
We check that all code conforms to black, flake8, and isort. To run these checks locally:
poetry run black --check . # To automatically fix issues, exclude --check flag
poetry run flake8
poetry run isort --check-only --diff . # To automatically fix issues, exclude --check-only and --diff flag
We also provide the following makefile shortcuts to run these commands:
make black
make flake8
make isort
make black-fix # Automatically fix issues
make isort-fix # Automatically fix issues
make all # Run all three checks (check only, no fixes)
MIT.