stellaspark-utils 2.3

A collection of python utilities for StellaSpark Nexus Digital Twin

Description

A collection of python utilities for StellaSpark Nexus Digital Twin technology. Ready to use for 3.7 >= python >= 3.12.

Usage

from stellaspark_utils.db import get_indexes, DatabaseManager
from stellaspark_utils.text import parse_time_placeholders

# DatabaseManager is a wrapper around a SQLAlchemy engine to set working memomry and pool_size the DRY way.

# Example 1 instance with argument 'db_url'
db_url = "postgres://<user>:<password>@<host>:<port>/<name>"
db_manager = DatabaseManager(db_url=db_url, max_mb_mem_per_db_worker=64, engine_pool_size=2)

# Example 2 instance with argument 'db_settings'
db_settings = {"USER":"<user>", "PASSWORD":"<password>", "HOST":"<host>", "PORT":"<port>", "NAME":"<name>"}
db_manager = DatabaseManager(db_settings=db_settings, max_mb_mem_per_db_worker=64, engine_pool_size=2)

# This sql transaction is limited by working memory (max_mb_mem_per_db_worker):
result = db_manager.execute("<sql_query>").all()

# This is also limited by working memory:
with db_manager.get_connection() as connection:
    result = connection.execute("<sql_query>").all()

# This sql transaction is NOT limited by working memory, so please do not use.
result = db_manager.engine.execute("<sql_query>").all()

Development

Build using command line

cd <project_root>
docker-compose build stellaspark_utils

Build and Run/debug using VS Code

1. Open this directory in VS Code
2. Or in 'Remote Explorer' (left top screen) choose 'New Dev Container'. Or click 'Open a Remote Window (left bottom screen) and then choose 'Reopen in Container'
3. Now edit 'run_helper_id' in main.py then run the code

Autoformat code:

cd <project_root>
make_nice

Test

cd <project_root>
pytest

Test coverage (release 2.3)

---------- coverage: platform linux, python 3.12.9-final-0 -----------
Name                        Stmts   Miss  Cover
-----------------------------------------------
setup.py                       10     10     0%
stellaspark_utils/db.py       195    133    32%
stellaspark_utils/text.py     110     87    21%
-----------------------------------------------
TOTAL                         315    230    27%

Release

Preparation

1. Create a Pypi account and after registering, make sure your account has a pypi token
2. Update version in setup.py
3. Update the CHANGES.rst with a change message and release date of today
4. Optionally, autoformat code (see above)
5. Push changes to GitHub (preferably in a branch 'release__')

Release manually

cd <project_root>
rmdir /s /q "dist"                                      # Remove dist dir (to avoid uploading old distributions)                       
pipenv shell                                            # Activate pipenv environnment (see 'Create an environment' above)
pip install twine                                       # Install twine (to upload package to pypi)
python setup.py sdist                                   # Create distribution (with a '.tar.gz' in it)
twine check dist/*                                      # Validate all distibutions in stellaspark_utils/dist
twine upload dist/*                                     # Upload distribution to pypi.org
# You will be prompted for a username and password: 
# - for the username, use __token__ (yes literally '__token__')
# - for the password, use the pypi token value, including the 'pypi-' prefix