Collection of utility scripts/functions that I use frequently.
Project description
red-utils
⚠️Important⚠️: This is my first Python package. I'm experimenting with CI/CD and Pypi. This library is most likely not useful to anyone else, may be broken at times, may undergo refactors with little to no notice/documentation, and all that other awful stuff that comes with being an amateur developer doing this in their free time 🙃
Table of Contents
Description
A collection of utility scripts/functions that I use frequently. Includes helper functions/default variables for libraries like loguru
, diskcache
, and msgpack
.
The utilities are broken down into 2 modules:
std
: Utilities with no external dependencies, only the Pythonstdlib
.ext
: Utilities for dependencies likeloguru
andmsgpack
-
Note: It is generally a good practice to import
ext
modules as a whole, instead of importing functions/variables from the module. -
This is because some of the function names I chose may be common (like
get_ts()
in theext.time_utils
module). -
Example:
from red_utils.ext import time_utils now = time_utils.get_ts()
or, with
pendulum
:from red_utils.ext.time_utils import pendulum_utils now = pendulum_utils.get_ts()
-
Common code shared by the std
and ext
modules can be imported from red_utils.core
and red_utils.domain
. Any code in these modules should be clean of any external dependency. This is because the std
module imports from core
, and adding non-stdlib functionality in red_utils.core
breaks the philosophy of the stdlib
module. I may introduce a red_utils.ext.core
at some point.
Some domain objects (dataclass
or regular Python classes) may be stored in red_utils.domain
. As of release v0.2.12
, this module is empty, but future releases may bring some utilities in the form of a class.
Custom/common exceptions are stored in red_utils.exc
.
Dynamic imports
The red-utils
package makes use of the Python stdlib pkgutil
module to control imports. Packages in the ext
module are only imported and available in red_utils
if the corresponding dependency exists.
For instance, red_utils.ext.msgpack_utils
will only be available if this check in src/red_utils/ext/init.py passes:
import pkgutil
...
if pkgutil.find_loader("msgpack"):
from . import msgpack_utils
pkgutil.find_loader()
is used throughout the app to control imports and ensure red_utils
is stable, by keeping uninstalled module's utilities out of the namespace.
Installation
This project uses dependencies groups, meaning it can be installed with pip install red-utils
for the base package, or with dependency groups like pip install red-utils[all]
(to install all packages with a corresponding red-util module), pip install red-utils[http]
(to install some helpful packages for HTTP requests, i.e. httpx
and diskcache
), and more.
- pip
pip install red-utils
- pdm
pdm add red-utils
Dependency groups:
Note: I will do my best to update this, but to get an accurate view of available dependency groups and the packages that will be installed, check the pyproject.toml
file. Look for the dependency lists, i.e. dependencies = [
(the base set of dependencies), all = [
, http = [
, etc.
[all]
: Install all packages that have a corresponding util. This may be a large install, and is generally not recommended.
[arrow]
: By default, the pendulum
library is used for time_utils
. Installing red_utils[arrow]
allows for importing arrow
functions from red_utils.ext.time_utils.arrow
.
[fastapi]
: Dependencies for fastapi_utils
[http]
: My standard "HTTP toolkit." Comes with a request client (httpx
), logging (loguru
), caching (diskcache
), & more.
Dependency install group examples
- pip:
pip install red-utils[fastapi,http]
- pdm:
pdm add red-utils[fastapi,http]
Modules
Check the Github page to see modules in the ext
and std
modules (or click one of those words to be taken there).
Developing red-utils
Please see the developing docs for instructions on setting up a dev environment to work on red-utils
.
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