Skip to main content

Sphinx coverity extension from Melexis

Project description

GPL3 License Pypi packaged release Build status Documentation Code Coverage Code Climate Status Issue Count Contributions welcome

Sphinx Coverity plugin

Publish Coverity report along your documentation - up-to-date at every build. Include comments and other special data in the same table and draw some nice graphs to showcase the quality.

Goal

Coverity’s reporting capabilities enable you to export data into separate documentation. While this might be preferred, it is also detached from your software documentation. Another lack is that it does not include comments or any other special fields. That means you can end up with a huge amount of intentionally triaged defects, without any explanation why they are intentional. Because of that, you cannot link your explanations for actions to that report and numbers could mean just anything. This plugin should enable simple and seamless Coverity reporting integration into existing Sphinx documentation. Generating a reStructuredText table of defects was one option, but that allows changing before it is rendered, so to provide a more trustworthy path, this plugin retrieves the data through Coverity API and generates/renders documentation via Sphinx without intermediate (editable) artifacts.

Installing

pip install mlx.coverity

Configuration

The conf.py file contains the documentation configuration for your project. This file needs to be equipped in order to configure the Coverity plugin.

First, the plugin needs to be enabled in the extensions variable:

extensions = [
    'mlx.coverity',
    ...
]

Credentials

Python variable coverity_credentials should be defined in order to override the default configuration of the Coverity plugin.

Example of custom credentials for the plugin:

coverity_credentials = {
    'hostname': 'scan.coverity.com',
    'username': 'myusername',
    'password': 'mypassword',
    'stream': 'some_coverity_stream',
    'snapshot': '1',
}

Snapshot is optional. When an empty string is given, the last snapshot is used.

Default config

The plugin itself holds a default config that can be used for any Coverity project:

coverity_credentials = {
    'hostname': 'scan.coverity.com',
    'username': 'reporter',
    'password': 'coverity',
    'stream': 'some_coverity_stream',
}

TRACEABILITY_ITEM_ID_REGEX = r"([A-Z_]+-[A-Z0-9_]+)"
TRACEABILITY_ITEM_RELINK = {}

This default configuration, which is built into the plugin, can be overridden through the conf.py of your project.

Usage

Inside your reStructuredText file you can call a block .. coverity-list:, which will generate the table with title and defined columns. For example, to display CID, Classification, Action and Comment columns, while filtering classification items with value Bug, you should use the following snippet:

.. coverity-list:: Custom table title
    :col: CID,Classification,Action,Comment
    :widths: 10 20 20 50
    :classification: Bug

The plugin will then automatically replace this block with the table queried from the Coverity server.

You can also call this block .. coverity-list: to generate a pie chart. For example, to label the amount of items classified as Intentional and the amount of items classified as Pending or Unclassified, while filtering classification items, you should use the following snippet:

.. coverity-list:: Custom chart title
    :chart: classification:Intentional,Pending+Unclassified
    :classification: Bug,Intentional,Pending,Unclassified

The plugin allows the use of both display options, col`and `chart, at the same time as well. In that case, they share all filtering options.

Options of coverity-list

The directive coverity-list is configurable with several options to provide better granularity and filtering of the displayed information. They are all optional. All option names shall be encapsulated by a colon and almost all option values shall be in CSV format (comma-separated without any spaces). All options are documented below, starting with the display options and followed by the filter options:

Display options

By default, the Coverity defects are listed in a table, of which the columns can be configured with the col option. If the chart option is used and the col option is not, only a pie chart is generated.

col:

multiple arguments (CSV format)

Specify column names of the table. The default value is CID,Classification,Action,Comment. They should match the columns inside Coverity. Possible Keywords are (but not limited, since Coverity has the option to create custom names):

  • CID: Coverity defect ID

  • Location: Coverity defect location consisting of file path and line number

  • Classification: Coverity defect Classification column

  • Action: Coverity defect Action information

  • Checker: Coverity defect Checker

  • Status: Coverity defect Triage status

  • Comment: Coverity defect last Comment

  • Reference: Coverity defect external references

widths:

multiple arguments (space-separated)

Column widths as a percentage value (integer). This could come in handy to fit the table on a PDF page. The LaTeX package longtable provides nice table continuation across multiple pages.

chart:

optional

This optional, second display option draws a pie chart that visualizes the amount of defects for each allowed <<attribute>> option. Firstly, the attribute can be specified, followed by a colon. The default attribute is classification. Secondly, you have two options. Either you specify a list of attribute values, comma-separated, or even plus-sign-separated for a merge into the same slice. Else, you define the minimum threshold amount of defects with the same attribute value that needs to be reached for them to be grouped together into a slice. All other defects get labeled as “Other”. The example below results in a pie chart that visualizes the most prevalent MISRA violations with a grouping threshold of 50 items:

.. coverity-list:: Chart of the most prevalent MISRA violations
    :chart: checker:50
    :checker: MISRA
Filter options

All filter options accept multiple arguments (CSV format).

classification:

Filtering by classification based on the text following the attribute. The text can be anything you desire, but the default list includes:

  • Unclassified

  • Pending

  • False Positive

  • Intentional

  • Bug

checker:

Filtering by checker based on the text following the attribute. The text can be anything you desire. Regular expressions work for this attribute, e.g. MISRA.

impact:

Filter for only these impacts.

kind:

Filter for only these kinds.

classification:

Filter for only these classifications.

action:

Filter for only these actions.

component:

Filter for only these components.

cwe:

Filter for only these CWE ratings.

cid:

Filter only these CIDs.

Contributions

We welcome any contributions to this plugin. Do not be shy and open a pull request. We will try to do our best to help you include your contribution to our repository. Keep in mind that reporting a bug or requesting a feature is also a nice gesture and considered as contribution, even if you do not have development skills to implement it.

Development setup

To contribute to the code or documentation, you may want to run tests and build the documentation. Firstly, clone the repository.

To run tests and checks we use tox.

# to install tox
pip3 install tox

# to run tests
tox

To build the example documentation locally, you will need to install the package and set your environment, see help.

# install current package locally and its dependencies
pip3 install --editable .

# define environment variables, needed by example/conf.py
# or store them in a .env file for a more permanent solution
export COVERITY_USERNAME='yourusername'
export COVERITY_PASSWORD='yourpassword'
export COVERITY_STREAM='yourstream'
export COVERITY_SNAPSHOT=''

# build documentation with Sphinx in a Tox environment
tox -e html

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mlx_coverity-2.0.3.tar.gz (34.1 kB view details)

Uploaded Source

Built Distribution

mlx.coverity-2.0.3-py2.py3-none-any.whl (32.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file mlx_coverity-2.0.3.tar.gz.

File metadata

  • Download URL: mlx_coverity-2.0.3.tar.gz
  • Upload date:
  • Size: 34.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for mlx_coverity-2.0.3.tar.gz
Algorithm Hash digest
SHA256 f08f5649244ef5ee5431bf4436518a58fea9e62a641f932557ed2f3370292fe2
MD5 e2f73dd30e7d3b32d08a6777f36c473e
BLAKE2b-256 20f1996b0f3f5c4483d193889e03176a3c87219af6cb484e9ba8b63687809b34

See more details on using hashes here.

File details

Details for the file mlx.coverity-2.0.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for mlx.coverity-2.0.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d8e2fa7a7cfa19dad549d6561f300b589551ca36b1e569d95471a0a0a53e47c8
MD5 9bfbec7e60620966a70bee5f9d92fe4b
BLAKE2b-256 e9e4d5f521ead22ecd0c7a530769391815ca780d9a7bf7ddb432b2b3ac20f9ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page