updating docstrings, adding duty, updating README

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# Panaetius
This package provides:
- Functionality to read user variables from a `config.yml` or environment variables.
- A convenient default logging formatter printing `json` that can save to disk and rotate.
- Utility functions.
## Config
### options
#### skip_header_init
If `skip_header_init=True` then the `config_path` will not use the `header_variable` as the
sub-directory in the `config_path`.
E.g
`CONFIG = panaetius.Config("tembo", "~/tembo/.config", skip_header_init=True)`
Will look in `~/tembo/config/config.yml`.
If `skip_header_init=False` then would look in `~/tembo/config/tembo/config.yml`.
### Module
Convenient to place in a package/sub-package `__init__.py`.
See Tembo for an example: <https://github.com/tembo-pages/tembo-core/blob/main/tembo/cli/__init__.py>
Example snippet to use in a module:
```python
import os
import panaetius
from panaetius.exceptions import LoggingDirectoryDoesNotExistException
if (config_path := os.environ.get("TEMBO_CONFIG")) is not None:
CONFIG = panaetius.Config("tembo", config_path, skip_header_init=True)
else:
CONFIG = panaetius.Config("tembo", "~/tembo/.config", skip_header_init=True)
panaetius.set_config(CONFIG, "base_path", "~/tembo")
panaetius.set_config(CONFIG, "template_path", "~/tembo/.templates")
panaetius.set_config(CONFIG, "scopes", {})
panaetius.set_config(CONFIG, "logging.level", "DEBUG")
panaetius.set_config(CONFIG, "logging.path")
try:
logger = panaetius.set_logger(
CONFIG, panaetius.SimpleLogger(logging_level=CONFIG.logging_level)
)
except LoggingDirectoryDoesNotExistException:
_LOGGING_PATH = CONFIG.logging_path
CONFIG.logging_path = ""
logger = panaetius.set_logger(
CONFIG, panaetius.SimpleLogger(logging_level=CONFIG.logging_level)
)
logger.warning("Logging directory %s does not exist", _LOGGING_PATH)
```
This means in `./tembo/cli/cli.py` you can
```python
import tembo.cli
# access the CONFIG instance + variables from the config.yml
tembo.cli.CONFIG
```
## Utility Functions
### Squasher
Squashes a json object or Python dictionary into a single level dictionary.