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Ondivi (Only diff violations)
Tired of 10,000 lint errors blocking your team from adopting code quality tools? Ondivi lets you enforce coding standards ONLY on new changes, making linter adoption possible in any legacy project.
This tool works with any linter or static code analyzer, including but not limited to:
Adopting Linters in Legacy Code
The Problem:
- Your 200K LOC project has 5,000+ lint violations
- Enforcing linters would block all development
- Technical debt keeps accumulating
The Solution with Ondivi:
- Run your linter as usual:
flake8 . - Pipe to ondivi:
flake8 . | ondivi --baseline=main - CI fails ONLY if new changes introduce violations
- Old violations are ignored (for now)
Result: Clean new code, legacy gradually refactored.
Prerequisites:
Installation
pip install ondivi
Usage
Ensure you are in the root directory of your Git repository.
Run the script:
flake8 script.py | ondivi
# with ruff:
ruff check file.py --output-format=concise | ondivi
or:
flake8 script.py > violations.txt
ondivi --fromfile=violations.txt
$ ondivi --help
Usage: ondivi [OPTIONS]
Ondivi (Only diff violations).
Python script filtering coding violations, identified by static analysis,
only for changed lines in a Git repo. Usage example:
flake8 script.py | ondivi
Options:
--baseline TEXT Commit or branch which will contain legacy code. Program
filter out violations on baseline (default: "master")
--fromfile TEXT Path to file with violations. Expected "utf-8" encoding
--format TEXT Template for parsing linter messages. The template should
include the following named parts:
{filename} The name of the file with the error/warning
{line_num} The line number with the error/warning
(integer)
Example usage:
--format "{filename}:{line_num:d}{other}"
In this example, the linter message
"src/app_types/listable.py:23:1: UP035 Import from
collections.abc instead: Sequence"
will be recognized and parsed into the following
components:
- filename: "src/app_types/listable.py"
- line_num: 23
- other: :1: "UP035 Import from collections.abc instead:
Sequence"
Ensure that the template matches the format of the
messages generated by your linter.
(default: "{filename}:{line_num:d}{other}")
--only-violations Show only violations
--help Show this message and exit.
How it works
The script parses the Git diff output to identify the changed lines in each file.
It then filters the given coding violations to include only those violations that correspond to the changed lines.
flakeheaven and flakehell are not supported because they rely on internal flake8 API, which can lead to compatibility issues as flake8 evolves. In contrast, ondivi uses only the text output of violations and the state of Git repository, making it more robust and easier to maintain.
Flake8 on file:
$ flake8 file.py
file.py:3:1: E302 expected 2 blank lines, found 1
file.py:9:1: E302 expected 2 blank lines, found 1
file.py:10:121: E501 line too long (123 > 120 characters)
file.py:14:1: E305 expected 2 blank lines after class or function definition, found 1
Example of changes:
from dataclasses import dataclass
@dataclass
class User(object):
name: str
age: int
def greet(user: User):
print('Long string in initial commit ################################################################################')
print(f'Hello, {user.name}!')
+ print('Long string in new commit ################################################################################')
if __name__ == '__main__':
greet(User(345, 23))
+ greet(User('Bob', '23'))
By git diff we see, that two new lines were appended (12 and 16):
Ondivi filters out violations and shows only one for line 12:
$ flake8 script.py | ondivi
file.py:12:80: E501 line too long (119 > 79 characters)
License
This project is licensed under the MIT License. See the LICENSE file for details.
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