valdpy 0.1.1

Python SDK for VALD Performance APIs

VALDpy - Python Tools for VALD Performance APIs

A comprehensive Python wrapper for VALD Performance APIs, providing easy access to data from ForceDecks, Dynamo, ForceFrame, NordBord, and SmartSpeed testing platforms.

Overview

VALDPY simplifies integration with VALD Performance's test data APIs. Whether you're analyzing jump performance, force production, sprint times, or strength metrics, this SDK provides a clean, Pythonic interface for authentication, data retrieval, and processing.

Built on the VALD API Documentation, this package handles:

• OAuth 2.0 authentication
• Multi-region API access (USA, Australia, Europe)
• Test data retrieval across all VALD platforms
• Automatic pagination for large datasets
• Data parsing into pandas DataFrames

Installation

From PyPI (Recommended)

pip install valdpy

Available on PyPI.

From Source

git clone https://github.com/dgaytanjenkins/Valdpy.git
cd Valdpy
pip install -e .

Development Installation

pip install -e ".[dev]"

Quick Start

1. Setup Credentials

Create a JSON credentials file (vald_api_cred.txt):

{
    "client_id": "your_client_id",
    "client_secret": "your_client_secret",
    "tenant_id": "your_tenant_id"
}

2. Basic Usage

from valdpy import ValdAuth, ForeDecksAPI
from valdpy.utils import read_credentials

# Load credentials
creds = read_credentials('vald_api_cred.txt')

# Initialize authentication
auth = ValdAuth(
    client_id=creds['client_id'],
    client_secret=creds['client_secret'],
    tenant_id=creds['tenant_id'],
    region='USA'
)

# Get access token
auth.get_token()

# Initialize ForceDecks API
fd = ForeDecksAPI(
    tenant_id=auth.tenant_id,
    header=auth.header,
    region='USA'
)

# Retrieve tests from a specific date
tests_df = fd.get_tests_info('01/01/2025')
print(tests_df.head())

# Get results for a specific test
test_id = tests_df['id'].iloc[0]
results_df = fd.get_test_results(test_id)

Supported Platforms

ForceDecks

Force plate testing for power, landing mechanics, and injury risk assessment.

from valdpy import ForeDecksAPI

fd = ForeDecksAPI(tenant_id, header, region='USA')
tests_df = fd.get_tests_info('01/01/2025')
results_df = fd.get_test_results(test_id)
force_trace = fd.get_force_trace(test_id)  # Raw force data
recording_details = fd.get_recording_details(test_id)

Dynamo

Jump and power testing platform for assessing lower body power production.

from valdpy import DynamoAPI

dynamo = DynamoAPI(tenant_id, header)
tests_df = dynamo.get_tests('01/01/2025', '31/01/2025')
results_df = dynamo.get_test_results(test_id)

ForceFrame

Advanced force measurement system for detailed biomechanical analysis.

from valdpy import ForceFrameAPI

ff = ForceFrameAPI(tenant_id, header)
tests_df = ff.get_tests_info('01/01/2025')
results_df = ff.get_test_results(test_id)

NordBord

Leg press strength testing platform for lower body strength assessment.

from valdpy import NordBordAPI

nb = NordBordAPI(tenant_id, header)
tests_df = nb.get_tests_info('01/01/2025')
results_df = nb.get_test_results(test_id)

SmartSpeed

Timing gate system for sprint, agility, and acceleration testing.

from valdpy import SmartSpeedAPI

ss = SmartSpeedAPI(tenant_id, header)
tests_df = ss.get_tests_info('01/01/2025')
results_df = ss.get_test_results(test_id)

API Reference

ValdAuth

Main authentication class for VALD APIs.

Methods:

• get_token() - Obtain OAuth 2.0 access token
• get_all_tenants() - List all accessible tenants
• get_tenant_info(tenant_id) - Get specific tenant details
• get_tenant_categories() - List categories (e.g., Team, Injured)
• get_tenant_groups() - List all groups in tenant
• get_group_profiles(group_name, category_name) - List profiles in a group
• assign_groups(profile_id, group_ids) - Assign groups to a profile

Utility Functions

Located in valdpy.utils:

• read_credentials(filepath) - Load credentials from JSON file
• convert_ticks_to_datetime(ticks) - Convert .NET ticks to datetime
• format_date_to_iso8601(date) - Format datetime to ISO 8601
• get_call() - Make GET requests to API
• post_call() - Make POST requests to API
• put_call() - Make PUT requests to API

Examples

Complete example notebooks are available in the examples/ directory:

• ForceDecks Example
• Dynamo Example
• ForceFrame Example
• NordBord Example
• SmartSpeed Example

Data Processing Examples

Filter tests by date range

from datetime import datetime
import pandas as pd

# Get tests for January 2025
start = '01/01/2025'
end = '31/01/2025'
tests_df = dynamo.get_tests(start, end)

# Filter by specific profile
specific_profile = tests_df[tests_df['profileId'] == 'profile_123']

Combine results across multiple tests

all_results = []

for test_id in tests_df['id'].head(10):
    results = fd.get_test_results(test_id)
    all_results.append(results)

combined_df = pd.concat(all_results, ignore_index=True)

Export to CSV

tests_df.to_csv('forcedecks_tests.csv', index=False)
results_df.to_csv('test_results.csv', index=False)

Regional Endpoints

VALDPY supports three regional endpoints:

• USA: Primary US endpoint
• Australia: AU/NZ endpoint
• Europe: European endpoint

Specify region when initializing clients:

auth = ValdAuth(..., region='Australia')
fd = ForeDecksAPI(..., region='Europe')

Configuration

Environment variables can override defaults:

export VALD_REGION=USA
export VALD_CREDENTIALS_PATH=/path/to/credentials.json

Testing

Run the test suite:

pytest

With coverage:

pytest --cov=valdpy

Development

Project Structure

valdpy/
├── api/                    # API client implementations
│   ├── __init__.py
│   ├── auth.py            # Authentication
│   ├── dynamo.py          # Dynamo API
│   ├── forcedecks.py      # ForceDecks API
│   ├── forceframe.py      # ForceFrame API
│   ├── nordbord.py        # NordBord API
│   └── smartspeed.py      # SmartSpeed API
├── utils.py               # Utility functions
└── __init__.py            # Package initialization

examples/                  # Jupyter notebook examples
docs/                      # Documentation
tests/                     # Test suite

Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Code Style

This project uses:

• Black for code formatting
• isort for import sorting
• MyPy for type checking
• Flake8 for linting

Run formatters:

black valdpy/
isort valdpy/

Documentation

Full API documentation is available in docs/.

Building Documentation Locally

pip install -e ".[docs]"
cd docs
make html
open _build/html/index.html

Troubleshooting

Authentication Fails

• Verify credentials in vald_api_cred.txt
• Check that client credentials have appropriate permissions
• Ensure credentials are valid and not expired

No Data Returned

• Verify date range (max 180 days for some endpoints)
• Check that tenant_id and profile_id are correct
• Ensure modified dates are in ISO 8601 format

Network Errors

• Verify API region is correct
• Check internet connectivity
• Review VALD API status page

Changelog

Version 0.1.0 (2025-05-25)

• Initial release
• Support for all five VALD platforms
• OAuth 2.0 authentication
• Multi-region support
• Pandas DataFrame outputs

License

This project is licensed under the MIT License - see LICENSE file for details.

Citation

If you use VALDPY in your research, please cite:

@software{gaytan_jenkins_2025_valdpy,
  title={VALDPY: Python SDK for VALD Performance APIs},
  author={Gaytan-Jenkins, Danny},
  year={2025},
  url={https://github.com/dgaytanjenkins/Valdpy}
}

Support

• 📖 VALD API Documentation
• 🐛 Report Issues
• 💬 Discussions

Disclaimer

This package is provided as-is and is not officially affiliated with VALD Performance. Users are responsible for complying with VALD's API terms of service and any applicable licensing agreements.

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Built by: Danny Gaytan-Jenkins
Email: [e-mail]
Last Updated: May 25, 2025