schema-resume-validator 1.1.0

JSON Schema validator for Schema Resume - comprehensive CV/Resume validation with JSON-LD support

schema-resume-validator

Official Python package for validating resumes against the Schema Resume JSON Schema.

Installation

pip install schema-resume-validator

For XML validation support:

pip install schema-resume-validator[xml]

Usage

Basic Validation

from schema_resume import validate_resume

resume = {
    "$schema": "https://schema-resume.org/schema.json",
    "basics": {
        "name": "John Doe",
        "label": "Software Engineer",
        "email": "[e-mail]"
    },
    "work": [
        {
            "name": "Tech Corp",
            "position": "Senior Developer",
            "startDate": "2020-01"
        }
    ]
}

result = validate_resume(resume)

if result["valid"]:
    print("✓ Resume is valid!")
else:
    print("✗ Validation errors:")
    for error in result["errors"]:
        print(f"  - {error['path']}: {error['message']}")

Using the Validator Class

from schema_resume import ResumeValidator

# Create validator instance
validator = ResumeValidator()

# Validate from dictionary
resume_data = {"basics": {"name": "Jane Doe"}}
result = validator.validate(resume_data)

# Validate from JSON file
result = validator.validate("path/to/resume.json")

# Validate from JSON string
json_string = '{"basics": {"name": "John Smith"}}'
result = validator.validate(json_string)

# Access schema files
schema = validator.get_schema()
meta_schema = validator.get_meta_schema()
context = validator.get_context()

Custom Schema

from pathlib import Path
from schema_resume import ResumeValidator

# Use custom schema file
validator = ResumeValidator(schema_path=Path("custom-schema.json"))
result = validator.validate(resume_data)

API Reference

validate_resume(resume)

Convenience function to validate a resume.

Parameters:

• resume: Resume data as dict, JSON string, or Path to JSON file

Returns: Dictionary with:

• valid (bool): Whether the resume is valid
• errors (list): List of validation errors (empty if valid)

ResumeValidator

Main validator class.

__init__(schema_path=None)

Initialize validator with optional custom schema.

Parameters:

• schema_path (optional): Path to custom schema file

validate(resume)

Validate a resume document.

Parameters:

• resume: Resume data as dict, JSON string, or Path to JSON file

Returns: Dictionary with validation results

get_schema()

Returns the JSON Schema dictionary.

get_meta_schema()

Returns the meta-schema dictionary.

get_context()

Returns the JSON-LD context dictionary.

Validation Examples

Complete Resume Example

from schema_resume import validate_resume

resume = {
    "$schema": "https://schema-resume.org/schema.json",
    "basics": {
        "name": "Jane Smith",
        "label": "Full Stack Developer",
        "email": "[e-mail]",
        "phone": "[phone]",
        "url": "https://janesmith.dev",
        "summary": "Experienced developer with 8+ years in web development",
        "location": {
            "city": "San Francisco",
            "countryCode": "US",
            "region": "California"
        }
    },
    "work": [
        {
            "name": "Tech Company",
            "position": "Senior Developer",
            "startDate": "2020-03",
            "highlights": [
                "Led team of 5 developers",
                "Improved performance by 40%"
            ]
        }
    ],
    "education": [
        {
            "institution": "University of Technology",
            "area": "Computer Science",
            "studyType": "Bachelor",
            "startDate": "2012",
            "endDate": "2016"
        }
    ],
    "skills": [
        {
            "name": "Web Development",
            "level": "Expert",
            "keywords": ["JavaScript", "React", "Node.js"]
        }
    ]
}

result = validate_resume(resume)
print(f"Valid: {result['valid']}")

Handling Validation Errors

from schema_resume import ResumeValidator

validator = ResumeValidator()

invalid_resume = {
    "basics": {
        "email": "not-an-email"  # Invalid email format
    }
}

result = validator.validate(invalid_resume)

if not result["valid"]:
    for error in result["errors"]:
        print(f"Field: {error['path']}")
        print(f"Error: {error['message']}")
        print(f"Validator: {error['validator']}")
        print()

Validating from File

from schema_resume import validate_resume
from pathlib import Path

# Validate from file path
result = validate_resume(Path("resume.json"))

# Or using string path
result = validate_resume("resume.json")

if result["valid"]:
    print("Resume file is valid!")

Development

Running Tests

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=schema_resume --cov-report=html

Code Formatting

# Format code with black
black src/

# Check with flake8
flake8 src/

# Type checking with mypy
mypy src/

Schema Files Included

This package includes all necessary schema files:

• schema.json - Main JSON Schema for resume validation
• meta-schema.json - Meta-schema for self-validation
• context.jsonld - JSON-LD context for semantic web integration
• schema-resume.xsd - XML Schema Definition (XSD) for XML validation

Links

• Website: https://schema-resume.org/
• Documentation: https://github.com/tradik/schema-resume
• Online Validator: https://schema-resume.org/validator.html
• PyPI: https://pypi.org/project/schema-resume-validator/
• Issues: https://github.com/tradik/schema-resume/issues

Support

For questions or issues:

• Email: [e-mail] or [e-mail]
• GitHub Issues: https://github.com/tradik/schema-resume/issues

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please see the Contributing Guide.