Ollama as user systemd service
Sometimes I need a service to run when my user is logged in, otherwise the service can run
like the other services when the machine start, systemd can provide that functionality.
Ollama
Ollama is one of the tools that allows you to run large language models locally. There are other tools like Unsloth Studio, llama.cpp, LM Studio, but Ollama is the simplest.
curl -fsSL https://ollama.com/install.sh | shBy default, running the installation script will attempt to create a user ollama and systemd unit file to run the service when the machine starts.
Golang Password Generator
I continue learning Go, so this time I created a password generator to generate secure passwords that exclude ambiguous characters
Features
- Generate multiple passwords at once.
- Customizable password length (minimum 8 characters).
- Excludes ambiguous characters (e.g.,
0,1,O,I,l,5,S,q,g). - Memory efficient
Implementation Details
To make the development easy and more maintainable creating a modern CLI tool I use spf13/cobra, Cobra framework and keep the dependencies at minimum with crypto/rand for cryptographically secure random number generation and strings.Builder for efficient string construction.
Switching to i3wm from Gnome
If you like the tiling window manager like i3wm and you want to switch from Gnome there are somethings missing like the network manager applet, the volume control, add/connect bluetooth devices and in some cases the gnome-keyring to handle passwords, private keys and certificates.
To fix that, there are some config tweaks and programs that would make the switch to i3 better. For this i going to use Fedora 34
Timezone lookup using latitude and longitud (part 2)
For the fastapi project we are going to use Sqlalchemy and postgresql taking some reference from the fastapi documentation.
# create a virtualenv, with any tool: poetry, pipenv, virtualenv module, etc
pip install fastapi uvicorn aiofiles SQLAlchemy psycopg2-binaryproject structure
.
├── Dockerfile
├── LICENSE
├── main.py
├── README.md
├── requirements.txt
└── timezone_utils
├── database.py
├── __init__.py
├── models.py
├── schemas.py
└── utils.py
1 directory, 10 fileswe define the models, schemas and engine for sqlalchemy and the api in the package timezone_utils
Timezone lookup using latitude and longitude (part 1)
First timezones are evil, but sometimes you need to work with them. Sometimes is easy to consume some third party api to get timezone information based on a given location using geocoding but there also exists some alternatives.
Then inspired on this blog post and the project Timezone boundary builder decided to create a test project using fastapi and postgis to do the timezone lookup using the latitude and longitude.
Flask logging setup
Setup a python logging configuration with dictConfig
Logging configuration can be defined on different ways like a dict, ini file, yaml or json somethimes is more flexible to do it on code with python, all depends on the use case.
This small example show how to setup the logging configuration using dictConfig method and how to add an user defined object to the logging filter.
import os
import logging
import socket
from flask import Flask
from logging.config import dictConfig
class ContextFilter(logging.Filter):
hostname = socket.gethostname()
def filter(self, record):
record.hostname = ContextFilter.hostname
return True
logging_configuration = dict(
version=1,
disable_existing_loggers=False,
formatters={
"default": {"format": "[%(hostname)s %(asctime)s] %(levelname)s in %(module)s: %(message)s"},
},
filters={"hostname_filter": {"()": ContextFilter}},
handlers={
"console": {
"class": "logging.StreamHandler",
"formatter": "default",
"filters": ["hostname_filter"],
}
},
root={"handlers": ["console"], "level": os.getenv("LOG_LEVEL", "INFO")},
)
dictConfig(logging_configuration)
app = Flask(__name__)
logger = logging.getLogger(__name__)
@app.route("/")
def home():
logger.debug("debug message")
logger.info("info message")
logger.warning("warning message")
logger.error("error message")
logger.critical("critical error message")
return "Hello World"
if __name__ == "__main__":
app.run()The filter hostname_filter use the special key "()" which means that user-defined instantiation is wanted. ContextFilter subclass logging.Filter and overrides the filter method so when key hostname is found it will get his value from the ContextFilter class using socket.gethostname() and the application output will show: