Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
DMT (for short) is a collection of tools to manage your RASA domains like if they were packages not unlike pip with python but with YAML for RASA.
pip install dmt
# Or using
#pip install git+https://gitlab.com/waser-technologies/technologies/dmt.git
Use the dmt
shortcut command.
❯ dmt --help
usage: dmt [-h] [-v] [-l] [-c] [-a ADD] [-s] [-V] [-T] [-S]
Domain Management Tool
optional arguments:
-h, --help show this help message and exit
-v, --version output version information and exit
-l, --list list installed domains
-c, --create Create a new domain from template
-a ADD, --add ADD git repository hosting a domain to add
-s, --sync Synchronize all installed domains
-V, --validate Validate all installed domains
-T, --train Train new model from all installed domains
-S, --serve Serve the lastest model
-L LANG, --lang LANG language to work with (defaults to your system preference: $LANG)
Find a domain using the tag #NLP Domains.
And add it.
dmt --add $domain_git_url
Now validate the domain's data with the installed ones.
dmt --validate
This will generate some warnings but that is ok most of the time. Unless you made the domain, in which case you should act upon them.
As long as there is not any error you can train a new model using your data. This will take time and computing resourses.
dmt --train
Or you could add, validate and train with a new domain in one line.
dmt -V -T -a $domain_git_url
Once trained, you should be able to serve the latest model using the dmt
.
dmt --serve
Or by enabling its service.
cp ./dmt.service.example /usr/lib/systemd/user/dmt.service
systemctl --user enable --now dmt.service
You can also import those tools from python
.
#!/usr/bin/env python3
from domain.management import tools as dmt
# Where are your domains installed?
INSTALL_PATH="/usr/share/assistant"
# install a new domain from a local repo
path_to_new_domain = "smalltalk" # git clone https://gitlab.com/waser-technologies/data/nlu/en/smalltalk.git ./smalltalk
domains_path = f"{INSTALL_PATH}/domains/en"
dmt.install_domain(tmp_domain, domains_path)
# Get list of installed domains
list_installed_domains = dmt.get_list_installed_domains(domains_path)
# Validate all domains combined
dmt.validate_data(INSTALL_PATH, domains="domains/en", data="data/en", config="configs/en/config.yml")
# Train new model on all domains
dmt.train_lm(INSTALL_PATH, domains="domains/en", data="data/en", config="configs/en/config.yml", models="models/en/NLU")
# Serve the new model
dmt.models_as_service()
DMT allows you to quickly start a new domain from a template.
dmt --create
Once hosted, you can use the --add
flag to install your domain.
With python.
from domain.management import tools as dmt
dmt.bake_cookie_domain(recipe_url="https://gitlab.com/waser-technologies/cookiecutters/nlu-domain-template")
FAQs
Manage domains like packages.
We found that dmt demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.