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Convert a Tabular Application Profile from CSV into JSON.





Normalize and serialize a Tabular Application Profile.

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To work correctly, "dctap" requires Python 3.7 or higher. Executing the command python3 should show you if Python 3 is installed on your machine and in which version.

As explained below, the command-line utility can be installed either from the online PyPI repository, using the pip command, or from a local copy of the project on your own machine.

Installation from PyPI ^^^^^^^^^^^^^^^^^^^^^^

Installing with "pip" pulls the most recently published version of the project from the PyPI repository <>_ with the following command:

.. code-block:: bash

python3 -m pip install dctap

or uninstalled with:

.. code-block:: bash

python3 -m pip uninstall dctap

Installation from Github ^^^^^^^^^^^^^^^^^^^^^^^^

"dctap" can be installed directly from Github with:

.. code-block:: bash

python3 -m pip install -U

Installing "dctap" this way, and periodically re-running this command to refresh, is the best way to keep up with the latest version of "dctap".

Installation with pip in virtual environment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

For developers who work alot with Python projects, it is good practice to create and activate a virtual environment so that "dctap", and its dependencies, will not be installed into the global Python environment on your machine. The virtual environment is held in a directory of your choice; in the example below, a hidden directory .venv is created in some_directory (your current working directory), and the virtual environment is activated by executing source .venv/bin/activate.

.. code-block:: bash

$ python3 -m venv .venv
$ source .venv/bin/activate
$ python3 -m pip install -U

Note that "dctap" will pip-install even without creating and activating a virtual environment, even though this is not considered good practice. If you do install it into a virtual environment, note that the virtual environment must be activated with source .venv/bin/activate or "dctap" will not work. The activation of a virtual environment can be automated by adding this command to a shell profile where it will be executed when starting the shell, for example by adding the lines to the file "~/.bash_profile":

.. code-block:: bash

cd /Users/foo/somedirectory
source .venv/bin/activate

Installation from a local clone of Git repository ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Cloning the "dctap-python" repository to your machine and installing it from the dctap-python directory is a good option if you want to keep up-to-date with the latest developments in the project. The following commands install "dctap" for the first time. In order to refresh the project directly from the project repository, you can at any time execute git pull (from within the repository), which will install the latest features and bug fixes in your local copy.

.. code-block:: bash

$ git clone
$ cd dctap-python
$ python -m venv .venv
$ source .venv/bin/activate
$ python3 -m pip install flit Pygments
$ flit install -s

Quick start

Run without arguments, "dctap" shows what options and commands are available.

.. code-block:: bash

$ dctap
Usage: dctap [OPTIONS] COMMAND [ARGS]...

  DC Tabular Application Profiles (DCTAP) - base module


  $ dctap generate my_profile.csv
  $ dctap generate --json my_profile.csv
  $ dctap generate --expand-prefixes my_profile.csv
  $ dctap generate --warnings my_profile.csv
  $ dctap generate --warnings --expand-prefixes --json my_profile.csv
  $ dctap init
  Built-in settings written to dctap.yml - edit as needed.
  $ dctap init /Users/tbaker/dctap.yml
  Built-in settings written to /Users/tbaker/dctap.yml - edit as needed.
  $ dctap generate --configfile /Users/tbaker/dctap.yml

  --version  Show version and exit
  --help     Show help and exit

  generate  Generate normalized text, JSON, or YAML of CSV, with warnings.
  init      Generate customizable configuration file [default: dctap.yml].

For more information, see the documentation on <>_.

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.. |Black Badge| image:: :alt: Code style: black :scale: 100% :target:


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