Skip to main content

No project description provided

Project description

sarif-pydantic

An implementation of the SARIF (Static Analysis Results Interchange Format) format using Pydantic.

Overview

This library provides Pydantic models for working with the SARIF specification (version 2.1.0). It enables Python developers to:

  • Create, validate, and manipulate SARIF data
  • Parse existing SARIF files into typed Python objects
  • Export SARIF data to JSON with proper validation

Installation

pip install sarif-pydantic

Usage

Creating a SARIF Log

from sarif_pydantic import (
    ArtifactLocation, 
    Invocation, 
    Level, 
    Location, 
    Message, 
    PhysicalLocation, 
    Region, 
    Result, 
    Run, 
    Sarif, 
    Tool, 
    ToolDriver
)

# Create a tool driver
tool_driver = ToolDriver(
    name="Example Analyzer",
    version="1.0.0",
)

# Create a tool with the driver
tool = Tool(driver=tool_driver)

# Create a physical location
physical_location = PhysicalLocation(
    artifact_location=ArtifactLocation(
        uri="src/example.py",
    ),
    region=Region(
        start_line=42,
        start_column=5,
        end_line=42,
        end_column=32,
    ),
)

# Create a result
result = Result(
    rule_id="EX001",
    level=Level.WARNING,
    message=Message(
        text="Example warning message",
    ),
    locations=[Location(
        physical_location=physical_location,
    )],
)

# Create a SARIF log
sarif_log = Sarif(
    version="2.1.0",
    runs=[Run(
        tool=tool,
        invocations=[Invocation(
            execution_successful=True,
        )],
        results=[result],
    )],
)

# Export to JSON
sarif_json = sarif_log.model_dump_json(indent=2, exclude_none=True)
print(sarif_json)

Loading a SARIF Log from JSON

import json
from sarif_pydantic import Sarif

# Load from a file
with open("example.sarif", "r") as f:
    sarif_data = json.load(f)

# Parse into a Sarif object
sarif_log = Sarif.model_validate(sarif_data)

# Access data via typed objects
for run in sarif_log.runs:
    for result in run.results or []:
        print(f"Rule: {result.rule_id}, Level: {result.level}")
        print(f"Message: {result.message.text}")

SARIF Specification

This implementation follows the SARIF 2.1.0 specification.

License

[LICENSE]

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

sarif_pydantic-0.6.1.tar.gz (54.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sarif_pydantic-0.6.1-py3-none-any.whl (7.4 kB view details)

Uploaded Python 3

File details

Details for the file sarif_pydantic-0.6.1.tar.gz.

File metadata

  • Download URL: sarif_pydantic-0.6.1.tar.gz
  • Upload date:
  • Size: 54.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.19

File hashes

Hashes for sarif_pydantic-0.6.1.tar.gz
Algorithm Hash digest
SHA256 891326463056ee9b67a6a9888152ab85db682fb4fad77da13e83fb8dd66ec647
MD5 f5de27593f9d2733dedb8aded8b42ed4
BLAKE2b-256 5c9ad4ce086d474cdf33db330e1caf6fbc4e914a769025e1050213fa0b0b55ca

See more details on using hashes here.

File details

Details for the file sarif_pydantic-0.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for sarif_pydantic-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 66829f678c0bc16d0a3b3aba94f2109be6dc60a2cd13bf44d105d4e49924f706
MD5 f37bf5cd2f852374ec931836be3da169
BLAKE2b-256 2f917406b4eaa1114cc437cfda618e7afd880e526e7eb3c4f91edcad1a1edd07

See more details on using hashes here.

Supported by

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