sphinx-csv-tools 0.1

Sphinx CSV tools extension

A Sphinx plugin that extends the csv-table reStructuredText directive to add various features.

This is an adapted and probably enhanced version of the original sphinx-csv-filter which can be found here: sphinx-csv-filter

Prerequisites

You need to be using Sphinx and reStructuredText.

Installation

Install the package by running:

pip3 install sphinx-csv-tools

Set Up

To include the extension, add this line to config.py in your Sphinx project:

extensions = ['sphinx_csv_tools']

If you’re using other extensions, edit the existing list, or add this:

extensions.append('sphinx_csv_tools')

Use

This plugin adds the following options to the csv-table directive:

:include:

This option takes a Python dict specifying the column and a regular expression. Rows are included if the columnar value matches the supplied regular expression.

Originally from sphinx-csv-filter

Example

Only displays rows where the type-column is SRV or VM

.. csv-tools::
    :header-rows: 1
    :include: { 'Type': ['SRV', 'VM'] }

    "Type","Name","Location","State","Internal_Remark"
    "SRV","ESX01","RZ1","active","some bogus text"
    "SRV","ESX02","RZ2","active","some bogus text"
    "SRV","ESX03","RZ1","inactive","some bogus text"
    "VM","DC01","RZ1","active","some bogus text"
    "VM","DC02","RZ2","active","some bogus text"
    "Switch","SW01","RZ1","active","some bogus text"
    "Switch","SW02","RZ2","active","some bogus text"
    "Bogus","SRV","RZ3","active","some bogus text"

:exclude:

This option takes a Python dict specifying the column and a regular expression. Rows are excluded if the columnar value matches the supplied regular expression.

Originally from sphinx-csv-filter

Example

Only displays rows where the State is not inactive

.. csv-tools::
    :header-rows: 1
    :exclude: { 'State': ['inactive'] }

    "Type","Name","Location","State","Internal_Remark"
    "SRV","ESX01","RZ1","active","some bogus text"
    "SRV","ESX02","RZ2","active","some bogus text"
    "SRV","ESX03","RZ1","inactive","some bogus text"
    "VM","DC01","RZ1","active","some bogus text"
    "VM","DC02","RZ2","active","some bogus text"
    "Switch","SW01","RZ1","active","some bogus text"
    "Switch","SW02","RZ2","active","some bogus text"
    "Bogus","SRV","RZ3","active","some bogus text"

:included_cols:

This is a comma-separated list of columns to include in the output.

Originally from sphinx-csv-filter

Example

Only displays the columns Name, Type and State (in this specific order)

.. csv-tools::
    :header-rows: 1
    :included_cols: Name,Type,State

    "Type","Name","Location","State","Internal_Remark"
    "SRV","ESX01","RZ1","active","some bogus text"
    "SRV","ESX02","RZ2","active","some bogus text"
    "SRV","ESX03","RZ1","inactive","some bogus text"
    "VM","DC01","RZ1","active","some bogus text"
    "VM","DC02","RZ2","active","some bogus text"
    "Switch","SW01","RZ1","active","some bogus text"
    "Switch","SW02","RZ2","active","some bogus text"
    "Bogus","SRV","RZ3","active","some bogus text"

:unique:

Takes a column and “uniques” the rows. Completely removes all table content and builds a new one with 2 columns:

• The unique column

• The count how often the row existed in the original table

Example

Will create a table with the columns Type and Count, listing each unique Type and the amount of times it was present in the table.

.. csv-tools::
    :header-rows: 1
    :unique: Type

    "Type","Name","Location","State","Internal_Remark"
    "SRV","ESX01","RZ1","active","some bogus text"
    "SRV","ESX02","RZ2","active","some bogus text"
    "SRV","ESX03","RZ1","inactive","some bogus text"
    "VM","DC01","RZ1","active","some bogus text"
    "VM","DC02","RZ2","active","some bogus text"
    "Switch","SW01","RZ1","active","some bogus text"
    "Switch","SW02","RZ2","active","some bogus text"
    "Bogus","SRV","RZ3","active","some bogus text"

:summarize:

Creates a summary-row and summarizes given columns

Example

Creates a summary row summarizing the given port-columns. For mathematic functions to work properly the strings must be typecasted to float or int

.. csv-tools::
    :header-rows: 1
    :summarize: { 'Ports 1G': 'int', 'Ports 10G': 'float', 'Ports 100G': 'int' }

    "Type","Name","Ports 1G","Ports 10G","Ports 100G"
    "93180-YC-FX3","Leaf-1","0","48","6"
    "93180-YC-FX3","Leaf-2","0","48","6"
    "9348GC-FXP","Leaf-3","48","4","4"
    "9348GC-FXP","Leaf-4","48","4","4"

:format:

Executes the format() function on all values of the given columns. The fromat-string can be defined in the options

Example

Formats the column RX with thousand-seperators and 0 precision. TX will also get the string “bps” appended.

.. csv-tools::
    :header-rows: 1
    :format: {"RX": "{:,.0f}", "TX": "{:,.0f} bps"}

    "From","To","RX","TX"
    "Host1","Host2",17394,545534435
    "Host1","Host3",892374,34565656
    "Host2","Host3",344565665,23434

:header-beautify:

Basically rewrites the header-line to new values. Prevents uncool things from happening when using the original :header: directive

Example

Rewrites the header to From Host,To Host,RX,TX

.. csv-tools::
    :header-rows: 1
    :header-beautify: From Host,To Host,RX,TX

    "From","To","RX","TX"
    "Host1","Host2",17394,545534435
    "Host1","Host3",892374,34565656
    "Host2","Host3",344565665,23434

:order:

Orders the rows by the values of a column in ascending (ASC/default) or descending (DESC) direction. The direction-parameter can be omitted

Example

Orders the rows by Location in descending order.

.. csv-tools::
    :header-rows: 1
    :order: Location,DESC

    "Type","Name","Location","State","Internal_Remark"
    "SRV","ESX02","RZ2","active","some bogus text"
    "SRV","ESX01","RZ1","active","some bogus text"
    "SRV","ESX03","RZ1","inactive","some bogus text"
    "VM","DC01","RZ1","active","some bogus text"
    "VM","DC02","RZ2","active","some bogus text"
    "Switch","SW01","RZ3","active","some bogus text"
    "Switch","SW02","RZ2","active","some bogus text"
    "Bogus","SRV","RZ3","active","some bogus text"

Processing-order and combination

The options can be used in any combination. Be aware of the processing-order to understand the effects of combining different options

• include

• exclude

• unique

• summarize

• format

• included_cols

• header_beautify

• order

Using a header or not

Using a header with :header-rows: does enable you to specify the header-name in the options. If there is no header you have to specify the column index (starting with 0).

It is strongly advised to always use a header (to protect against columns shifting around) and only to use one header (:header-rows: 1)

Unforseen effects might occur when ore headers are used