Fungi 0.1.1

A set of common utilities for iNotify (based on iNotify Simple) that makes it a little easier to work with

Fungi

A set of common utilities for iNotify that allows developers to keep track of file changes even when their application is not running.

Usage

This library is designed as an easy way to work with iNotify for the purposes of tracking file changes. It is built on top of inotify-simple which is already excellent and makes some things a LOT easier, but this library tacks on some functionality, such as the ability to react to file changes that occur when the application is not running as well as the ability to deal with changes that iNotify does not pick up for whatever reason.

The basic means of using it is something like this:

from pathlib import Path
from fungi import SQLiteMonitor, MODIFIED_OR_DELETED

for changed in SQLiteMonitor(Path.home() / '.config' / 'my-app-file-tracking.db',
                             MODIFIED_OR_DELETED,
                             [Path.cwd()]).read(timeout=1000, read_delay=100):
    print(changed)

So what's happening here? Well, we instantiate a SQLiteMonitor, which uses a SQLite Database to keep track of files and when they've been modified. In our example, this database would live in ~/.config/my-app-file-tracking.db. On top of this, we have the MODIFIED_OR_DELETED flag, which is just a variable representing several flags used by inotify-simple. You can see all the accepted flag inputs here, as well as how to use them. Then we have a list of paths to watch (which can be either directories or individual files), and finally we have the timeout which is how often (in milliseconds) it polls for changes that might not have been tracked for whatever reason, and the read_delay.

While the SQLiteMonitor uses a SQLite DB file to keep track of files, there are other options. For example, SymlinkMonitor takes a directory, where it keeps symlinks of tracked files and uses this to keep track of when files were modified. There is also a MemoryMonitor which only keeps information in memory, and the most basic Monitor which is just a thin wrapper iNotify observer. Note that Monitor and MemoryMonitor cannot keep track of files that change when they're not running, you have to use either SymlinkMonitor or SQLiteMonitor. One might ask, why bother with a SymlinkMonitor? What's the advantage? Isn't it considerably slower than SQLite? and the answer is that yes it is, however, the SymlinkMonitor allows you to see the symlinks in the file system as they are being tracked and even change them if you want to, easer than in a SQLite DB.

Arguably the coolest part of this is what happens when you stop the script. Try it for yourself, stop it, make some changes, and then run the script again. You will notice that it prints out the modified files even though the script was not running!

Installation & Setup

To install fungi with pip execute the following:

pip install fungi

Development

Standards

• Be excellent to each other
• Code coverage must be at 100% for all new code, or a good reason must be provided for why a given bit of code is not covered.
  • Example of an acceptable reason: "There is a bug in the code coverage tool and it says its missing this, but its not".
  • Example of unacceptable reason: "This is just exception handling, its too annoying to cover it".
• The code must pass the following analytics tools. Similar exceptions are allowable as in rule 2.
  • pylint --disable=W1203,R0903 --max-line-length=120 ...
  • flake8 --max-line-length=120 ...
  • mypy --ignore-missing-imports --follow-imports=skip --strict-optional ...
• All incoming information from users, clients, and configurations should be validated.
• All internal arguments passing should be typechecked whenever possible with typeguard.typechecked

Development Setup

Using pdm install from inside the repo directory:

pdm install

IDE Setup

Sublime Text 3/4

curl -sSL https://gitlab.com/-/snippets/2385805/raw/main/pdm.sublime-project.py | pdm run python

Testing

All testing should be done with pytest which is installed with the dev requirements.

To run all the unit tests, execute the following from the repo directory:

pdm run pytest

This should produce a coverage report in /path/to/dewey-api/htmlcov/

While developing, you can use watchexec to monitor the file system for changes and re-run the tests:

pdm run watchexec -r -e py,yaml pytest

To run a specific test file:

pdm run pytest tests/unit/test_core.py

To run a specific test:

pdm run pytest tests/unit/test_core.py::test_basic_inotify

For more information on testing, see the pytest.ini file as well as the documentation.