Automatically find diff lines that need test coverage. Also finds diff lines that have violations (according to tools such as pycodestyle, pyflakes, flake8, or pylint). This is used as a code quality metric during code reviews.
Diff coverage is the percentage of new or modified lines that are covered by tests. This provides a clear and achievable standard for code review: If you touch a line of code, that line should be covered. Code coverage is every developer's responsibility!
The diff-cover
command line tool compares an XML coverage report
with the output of git diff
. It then reports coverage information
for lines in the diff.
Currently, diff-cover
requires that:
- You are using
git
for version control. - Your test runner generates coverage reports in Cobertura, Clover or JaCoCo XML format.
Supported XML coverage reports can be generated with many coverage tools, including:
- Cobertura (Java)
- Clover (Java)
- JaCoCo (Java)
- coverage.py (Python)
- JSCover (JavaScript)
- lcov_to_cobertura (C/C++)
diff-cover
is designed to be extended. If you are interested
in adding support for other version control systems or coverage
report formats, see below for information on how to contribute!
To install the latest release:
pip install diff_cover
To install the development version:
git clone https://github.com/Bachmann1234/diff-cover.git
cd diff-cover
python setup.py install
- Set the current working directory to a
git
repository. - Run your test suite under coverage and generate a [Cobertura, Clover or JaCoCo] XML report. For example, using pytest-cov:
pytest --cov --cov-report=xml
This will create a coverage.xml
file in the current working directory.
NOTE: If you are using a different coverage generator, you will need to use different commands to generate the coverage XML report.
- Run
diff-cover
:
diff-cover coverage.xml
This will compare the current git
branch to origin/main
and print
the diff coverage report to the console.
You can also generate an HTML, JSON or Markdown version of the report:
diff-cover coverage.xml --html-report report.html
diff-cover coverage.xml --json-report report.json
diff-cover coverage.xml --markdown-report report.md
In the case that one has multiple xml reports form multiple test suites, you
can get a combined coverage report (a line is counted as covered if it is
covered in ANY of the xml reports) by running diff-cover
with multiple
coverage reports as arguments. You may specify any arbitrary number of coverage
reports:
diff-cover coverage1.xml coverage2.xml
You can use diff-cover to see quality reports on the diff as well by running
diff-quality
.
diff-quality --violations=<tool>
Where tool
is the quality checker to use. Currently pycodestyle
, pyflakes
,
flake8
, pylint
, checkstyle
, checkstylexml
are supported, but more
checkers can (and should!) be supported. See the section "Adding diff-quality`
Support for a New Quality Checker".
NOTE: There's no way to run findbugs
from diff-quality
as it operating
over the generated java bytecode and should be integrated into the build
framework.
Like diff-cover
, HTML, JSON or Markdown reports can be generated with
diff-quality --violations=<tool> --html-report report.html
diff-quality --violations=<tool> --json-report report.json
diff-quality --violations=<tool> --markdown-report report.md
If you have already generated a report using pycodestyle
, pyflakes
, flake8
,
pylint
, checkstyle
, checkstylexml
, or findbugs
you can pass the report
to diff-quality
. This is more efficient than letting diff-quality
re-run
pycodestyle
, pyflakes
, flake8
, pylint
, checkstyle
, or checkstylexml
.
# For pylint < 1.0
pylint -f parseable > pylint_report.txt
# For pylint >= 1.0
pylint --msg-template="{path}:{line}: [{msg_id}({symbol}), {obj}] {msg}" > pylint_report.txt
# Use the generated pylint report when running diff-quality
diff-quality --violations=pylint pylint_report.txt
# Use a generated pycodestyle report when running diff-quality.
pycodestyle > pycodestyle_report.txt
diff-quality --violations=pycodestyle pycodestyle_report.txt
Note that you must use the -f parseable
option to generate
the pylint
report for pylint versions less than 1.0 and the
--msg-template
option for versions >= 1.0.
diff-quality
will also accept multiple pycodestyle
, pyflakes
, flake8
,
or pylint
reports:
diff-quality --violations=pylint report_1.txt report_2.txt
If you need to pass in additional options you can with the options
flag
diff-quality --violations=pycodestyle --options="--exclude='*/migrations*' --statistics" pycodestyle_report.txt
By default, diff-cover
compares the current branch to origin/main
. To specify a different compare branch:
diff-cover coverage.xml --compare-branch=origin/release
To have diff-cover
and diff-quality
return a non zero status code if the report quality/coverage percentage is
below a certain threshold specify the fail-under parameter
diff-cover coverage.xml --fail-under=80
diff-quality --violations=pycodestyle --fail-under=80
The above will return a non zero status if the coverage or quality score was below 80%.
Explicit exclusion of paths is possible for both diff-cover
and diff-quality
, while inclusion is
only supported for diff-quality
(since 5.1.0).
The exclude option works with fnmatch
, include with glob
. Both options can consume multiple values.
Include options should be wrapped in double quotes to prevent shell globbing. Also they should be relative to
the current git directory.
diff-cover coverage.xml --exclude setup.py
diff-quality --violations=pycodestyle --exclude setup.py
diff-quality --violations=pycodestyle --include project/foo/**
The following is executed for every changed file:
- check if any include pattern was specified
- if yes, check if the changed file is part of at least one include pattern
- check if the file is part of any exclude pattern
Both diff-cover
and diff-quality
allow users to ignore and include files based on the git
status: staged, unstaged, untracked:
--ignore-staged
: ignore all staged files (by default include them)--ignore-unstaged
: ignore all unstaged files (by default include them)--include-untracked
: include all untracked files (by default ignore them)
Both diff-cover
and diff-quality
support a quiet mode which is disable by default.
It can be enabled by using the -q
/--quiet
flag:
diff-cover coverage.xml -q
diff-quality --violations=pycodestyle -q
If enabled, the tool will only print errors and failures but no information or warning messages.
Both tools allow users to specify the options in a configuration file with --config-file/-c:
diff-cover coverage.xml --config-file myconfig.toml
diff-quality --violations=pycodestyle --config-file myconfig.toml
Currently, only TOML files are supported. Please note, that only non-mandatory options are supported. If an option is specified in the configuration file and over the command line, the value of the command line is used.
The parser will only react to configuration files ending with .toml. To use it, install diff-cover with the extra requirement toml.
The option names are the same as on the command line, but all dashes should be underscores. If an option can be specified multiple times, the configuration value should be specified as a list.
[tool.diff_cover]
compare_branch = "origin/feature"
quiet = true
[tool.diff_quality]
compare_branch = "origin/feature"
ignore_staged = true
Issue: diff-cover
always reports: "No lines with coverage information in this diff."
Solution: diff-cover
matches source files in the coverage XML report with
source files in the git diff
. For this reason, it's important
that the relative paths to the files match. If you are using coverage.py
to generate the coverage XML report, then make sure you run
diff-cover
from the same working directory.
Issue: GitDiffTool._execute()
raises the error:
fatal: ambiguous argument 'origin/main...HEAD': unknown revision or path not in the working tree.
This is known to occur when running diff-cover
in Travis CI
Solution: Fetch the remote main branch before running diff-cover
:
git fetch origin master:refs/remotes/origin/main
Issue: diff-quality
reports "diff_cover.violations_reporter.QualityReporterError:
No config file found, using default configuration"
Solution: Your project needs a pylintrc file.
Provide this file (it can be empty) and diff-quality
should run without issue.
Issue: diff-quality
reports "Quality tool not installed"
Solution: diff-quality
assumes you have the tool you wish to run against your diff installed.
If you do not have it then install it with your favorite package manager.
Issue: diff-quality
reports no quality issues
Solution: You might use a pattern like diff-quality --violations foo *.py
. The last argument
is not used to specify the files but for the quality tool report. Remove it to resolve the issue
The code in this repository is licensed under the Apache 2.0 license.
Please see LICENSE.txt
for details.
Contributions are very welcome. The easiest way is to fork this repo, and then make a pull request from your fork.
NOTE: diff-quality
supports a plugin model, so new tools can be integrated
without requiring changes to this repo. See the section "Adding diff-quality`
Support for a New Quality Checker".
This project is managed with poetry this can be installed with pip poetry manages a python virtual environment and organizes dependencies. It also packages this project.
pip install poetry
poetry install
I would also suggest running this command after. This will make it so git blame ignores the commit that formatted the entire codebase.
git config blame.ignoreRevsFile .git-blame-ignore-revs
Adding support for a new quality checker is simple. diff-quality
supports
plugins using the popular Python
pluggy package.
If the quality checker is already implemented as a Python package, great! If not, create a Python package to host the plugin implementation.
In the Python package's setup.py
file, define an entry point for the plugin,
e.g.
setup(
...
entry_points={
'diff_cover': [
'sqlfluff = sqlfluff.diff_quality_plugin'
],
},
...
)
Notes:
- The dictionary key for the entry point must be named
diff_cover
- The value must be in the format
TOOL_NAME = YOUR_PACKAGE.PLUGIN_MODULE
When your package is installed, diff-quality
uses this information to
look up the tool package and module based on the tool name provided to the
--violations
option of the diff-quality
command, e.g.:
$ diff-quality --violations sqlfluff
The plugin implementation will look something like the example below. This is a simplified example based on a working plugin implementation.
from diff_cover.hook import hookimpl as diff_cover_hookimpl
from diff_cover.violationsreporters.base import BaseViolationReporter, Violation
class SQLFluffViolationReporter(BaseViolationReporter):
supported_extensions = ['sql']
def __init__(self):
super(SQLFluffViolationReporter, self).__init__('sqlfluff')
def violations(self, src_path):
return [
Violation(violation.line_number, violation.description)
for violation in get_linter().get_violations(src_path)
]
def measured_lines(self, src_path):
return None
@staticmethod
def installed():
return True
@diff_cover_hookimpl
def diff_cover_report_quality():
return SQLFluffViolationReporter()
Important notes:
diff-quality
is looking for a plugin function:- Located in your package's module that was listed in the
setup.py
entry point. - Marked with the
@diff_cover_hookimpl
decorator - Named
diff_cover_report_quality
. (This distinguishes it from any other plugin typesdiff_cover
may support.)
- Located in your package's module that was listed in the
- The function should return an object with the following properties and methods:
supported_extensions
property with a list of supported file extensionsviolations()
function that returns a list ofViolation
objects for the specifiedsrc_path
. For more details on this function and other possible reporting-related methods, see theBaseViolationReporter
class here.
Shout out to the original author of diff-cover Will Daly and the original author of diff-quality Sarina Canelake.
Originally created with the support of edX.