Provides several utilities for handling I/O
This library is currently still under development. The API will likely undergo significant changes that may break any code you write with it. The documentation will fall out of sync with the updates regularly until development slows down. Use it at your own risk.
Provides several utilities for handling I/O:
- Api similar to
argparse.ArgumentParser(). Must be used as a context manager, and while in scope the
Argument.add()method will act equivalent to
ArgumentParser.parse_args()) returns a
subtypes.Dictholding the argument values if no callback is provided to the
IOHandler()constructor, otherwise it passes on the return value of the callback function, which will be passed a
Dictas its single positional argument.
- Has various run-modes (in the provided
RunMode.SMARTwill attempt to choose the appropriate run-mode for the situation.
RunMode.COMMANDLINEargparse is used under-the-hood to process the
sys.argvarguments, but with additional features and custom-built help interface that is more readable (and way prettier!)
RunMode.GUI, it will programatically build a GUI to collect user input, with widgets picked based on the 'argtype' argument of
Argument(). The argument defaults can be overriden at point-in-time by passing a
dictof argument name-value pairs directly to
IOHandler.process(). Further calls to
IOHandler.process()will still have the base defaults
RunMode.PROGRAMMATIC, the argument values can be passed directly to
dictof argument name-value pairs
IOHandler.add_subhandler()will add a new subhandler which will act as a subcommand under
RunMode.COMMANDLINE, and will act as a tabbed sheet under
RunMode.GUI. The handlers exist in a hierarchy, meaning that arguments passed to all parents on the way to the lowest child sheet (on the gui) or final used subcommand (in the commandline) are still handled.
Argument()constructor arguments tell the IOHandler how to handle nullability, default values, implicit coercion to the right type, whether the argument is optional, commandline aliases, conditions, dependencies, etc.
Enumis provided to be passed to the
Argument(argtype=)constructor argument. This will let the
IOHandlerperform type checking and coercion. Currently the recognized types are:
member with IOHandler(subtypes=True) with IOHandler(subtypes=False) STRING subtypes.Str str INTEGER int int FLOAT float float DECIMAL decimal.Decimal decimal.Decimal BOOLEAN bool bool LIST subtypes.List list DICT subtypes.Dict dict SET set set PATH pathlib.Path pathlib.Path FILE pathmagic.File pathmagic.File DIR pathmagic.Dir pathmagic.Dir DATETIME subtypes.DateTime datetime.datetime FRAME subtypes.Frame pandas.DataFrame
- An accessor class granting access to several Validator classes through attribute access.
- Currently supports type checking and implicit coercion of the input value to the following supported types (
- Its attributes are:
- Currently there are
- Some of these validators are implemented as a wrapper over typepy, but the api is different.
- Validators can handle nullability as desired.
- Some validators have additional validation methods to check for values in valid ranges. For example:
Validate.Int().max_value(7).is_valid(9)would return False.
- Additional conditions can be added to a validator by passing callbacks that return boolean values to
- The validator can be reused for any number of values once initially set up.
DictionaryValidatorwill coerce strings by using eval (safely), rather than coercing a string to a list by calling
Gui class and its various template subclasses
- Gui class and several template subclasses that can be used alongside the various
WidgetManagerobjects to easily set up a GUI, with the exact internals of the underlying QT classes abstracted away behind a consistent API. Makes it very quick and easy to set up a simple GUI. Is a thin wrapper around PyQt5.
ThreePartGuiclass for quickly setting up Horizontal-Vertical-Horizontal guis
HTMLGuiclass for Rendering HTML in a separate window
WidgetManager class and its various widget subclasses
- Currently supports the following widgets:
- Have a consistent API primarily using the properties
- Offer choices inveractively on the console, allowing navigation using arrow keys
- Supports multi-select
- Offer YES/NO
- Hide/show console
- Clear existing lines from console
- Uses a metaclass that wraps every method and the methods of inner classes (recursively) in a profiler, showing duration, arguments, and return value of each method call,
repr()of the script object
- Writes this profiling information and
print()statements to a log file
- Upon exiting the constructor, optionally serializes the object to the same directory as the log
**kwargspassed to the constructor are stored in the
Script.nameattribute is automatically set to the name of the file the class is defined in
- For use with
Script.run_modeattribute is automatically 'smart' by default, but can be overriden by setting it as a class attribute
- Serializes any python object that can be pickled by Dill into a file
- Interface similar to a
dictfor interacting with the items in the cache:
- Serialize/deserialize any object that is pickleable by Dill
- Discard unpickleable attributes recursively and replace them with
- Serialize, then encrypt any python object and write it to a file and vice-versa.
- Encryption key must be set before first use. It will be persisted to a json config file at an os-appropriate appdir.
To install use pip:
$ pip install pyiotools
Or clone the repo:
$ git clone https://github.com/matthewgdv/iotools.git $ python setup.py install
Usage examples coming soon.
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/matthewgdv/iotools/issues
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement a fix for it.
Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
The repository could always use more documentation, whether as part of the official docs, in docstrings, or even on the web in blog posts, articles, and such.
The best way to send feedback is to file an issue at https://github.com/matthewgdv/iotools/issues.
If you are proposing a new feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Before you submit a pull request, check that it meets these guidelines:
If the pull request adds functionality, it should include tests and the docs should be updated. Write docstrings for any functions that are part of the external API, and add the feature to the README.md.
If the pull request fixes a bug, tests should be added proving that the bug has been fixed. However, no update to the docs is necessary for bugfixes.
The pull request should work for the newest version of Python (currently 3.7). Older versions may incidentally work, but are not officially supported.
Inline type hints should be used, with an emphasis on ensuring that introspection and autocompletion tools such as Jedi are able to understand the code wherever possible.
PEP8 guidelines should be followed where possible, but deviations from it where it makes sense and improves legibility are encouraged. The following PEP8 error codes can be safely ignored: E121, E123, E126, E226, E24, E704, W503
This repository intentionally disallows the PEP8 79-character limit. Therefore, any contributions adhering to this convention will be rejected. As a rule of thumb you should endeavor to stay under 200 characters except where going over preserves alignment, or where the line is mostly non-algorythmic code, such as extremely long strings or function calls.
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