Skip to main content

tidas-tools

Project description

TianGong TIDAS Tools User Guide

PyPI Python Version

English | 中文

This toolkit is used for conversion and validation of TianGong TIDAS and eILCD/ILCD data formats.


1. Introduction

This toolkit contains these independent tools:

  • TIDAS and eILCD Data Format Conversion Tool
  • TIDAS and eILCD/ILCD Data Validation Tool
  • TIDAS and eILCD Data Export Tool

2. TIDAS and eILCD Data Format Conversion Tool Usage

(1) Installation Instructions

# Install this toolkit
pip install tidas-tools

(2) Tool Functionalities

This tool supports mutual conversion between the following two data formats:

  • TIDAS data format → eILCD data format (default mode)
  • eILCD data format → TIDAS data format

(3) Command-line Arguments

Argument Short form Description
--help -h Display help message
--input-dir -i Directory containing data files to be converted (note: this directory must directly contain the data files, not their parent directory)
--output-dir -o Output directory for converted data (the program will automatically generate the complete schema-compatible directory structure)
--to-eilcd Convert data from TIDAS format to eILCD format (default mode)
--to-tidas Convert data from eILCD format to TIDAS format
--verbose -v Enable verbose logging

(4) Usage Examples

# Convert TIDAS data to eILCD format
tidas-convert --input-dir <TIDAS_data_directory> --output-dir <eILCD_output_directory> --to-eilcd

# Convert eILCD data to TIDAS format
tidas-convert --input-dir <eILCD_data_directory> --output-dir <TIDAS_output_directory> --to-tidas

3. TIDAS and eILCD/ILCD Data Validation Tool Usage

(1) Tool Functionalities

This tool validates whether TIDAS JSON data or eILCD/ILCD XML data complies with the packaged schema standards.

(2) Command-line Arguments

Argument Short form Description
--help -h Display help message
--input-dir -i Directory containing data to validate
--verbose -v Enable verbose logging
--data-format Input data format to validate: tidas, ilcd, or eilcd (default: tidas)

(3) Usage Example

# Validate TIDAS data format
tidas-validate --input-dir <TIDAS_data_directory> --data-format tidas

# Validate eILCD/ILCD XML data format
tidas-validate --input-dir <eILCD_data_directory> --data-format ilcd

4. TIDAS Export Tool Documentation

(1) Tool Functionalities

This tool exports data records in either TIDAS or eILCD format. It also optionally downloads supplementary files and bundles them into a final zip archive.

(2) Command-line Arguments and Environment Variables

Parameter Short Description
--help -h Display help information
--to-tidas - Export data in TIDAS format (default)
--to-eilcd None Export data in eILCD format
--input-dir -i Input directory containing files to export
--output-zip -z Output path for the zip file
--env-file -e Path to .env file containing DB and AWS credentials
--skip-external-docs Skip downloading external supplementary files
--to-tidas Export in TIDAS format (default option)
--to-eilcd Export in eILCD format (mutually exclusive)
--db-user Database username
--db-password Database password
--db-host Database host
--db-port Database port (default: 5432)
--db-name Database name
--aws-access-key-id AWS access key ID
--aws-secret-access-key AWS secret access key
--aws-region AWS region
--verbose -v Enable verbose logging

Credentials can also be set via environment variables (defaults to the .env file in the current directory):

DB_USER=
DB_PASSWORD=
DB_HOST=
DB_PORT=5432
DB_NAME=postgres
AWS_REGION=
AWS_ENDPOINT=

(3) Usage Example

# Export records to TIDAS format and produce a ZIP archive.
tidas-export -i <TIDAS_input_directory> -z <TIDAS_ZIP_File> --to-tidas

# Export records to eILCD format without downloading supplementary files
tidas-export -z <eILCD_ZIP_File> --to-eilcd --skip-external-docs

5. Log File Information

Both data conversion and validation tools will automatically generate execution logs. The log file name is:

tidas-{function_name}.log

6. Development Environment Setup and Contribution Guide

If you wish to participate in development, you can set up your environment following these steps:

(1) Ubuntu System Environment Preparation

# Update repositories and install software management tools
sudo apt update
sudo apt install software-properties-common

# Add the official PPA repository for the latest Python version and install Python 3.12
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install -y python3.12

# Install necessary dependency packages
sudo apt install libxml2-dev libxslt-dev
sudo apt-get install build-essential python3-dev

# Upgrade software packages on the system
sudo apt upgrade

(2) Manage Python Environment with uv

# Install uv (if not already available)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Synchronize dependencies (including development tools)
uv sync --dev

# Activate the virtual environment created by uv (optional)
source .venv/bin/activate

# Run project commands without activating the environment
uv run python src/tidas_tools/convert.py --help

7. Code Standards and Testing

(1) Code Formatting Tool (black recommended)

# Automatically format code using black
uv run black .

(2) Testing Instructions

To test data conversion and validation functionalities, run the following commands:

# Test converting TIDAS data to eILCD format
uv run python src/tidas_tools/convert.py -i <TIDAS_data_directory> -o <eILCD_data_directory> --to-eilcd

# Test converting eILCD data to TIDAS format
uv run python src/tidas_tools/convert.py --input-dir <eILCD_data_directory> --output-dir <TIDAS_data_directory> --to-tidas

# Test TIDAS and eILCD/ILCD data validation functionality
# Execute automated tests
uv run pytest

# Validate TIDAS data
uv run python src/tidas_tools/validate.py -i <TIDAS_data_directory> --data-format tidas

# Validate eILCD/ILCD data
uv run python src/tidas_tools/validate.py -i <eILCD_data_directory> --data-format ilcd

8. Automatic Building and Publishing (CI/CD)

This project supports automatic building and publishing. When you push a git tag named with the v<version> format to the repository, it will trigger the workflow automatically. For example:

# List existing tags
git tag

# Create a new tag (e.g., version v0.0.1)
git tag v0.0.1

# Push the newly created tag to the remote repository to trigger automatic workflow
git push origin v0.0.1

Schema and methodology updates on main can also trigger a cross-repository SDK sync into tiangong-lca/tidas-sdk through .github/workflows/dispatch-tidas-sdk-sync.yml.

That automation requires the repository secret TIDAS_SDK_AUTOMATION_TOKEN.


9. Contribution

We welcome your contributions! You can participate in the project by submitting issues or pull requests.

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

tidas_tools-0.0.23.tar.gz (317.8 kB view details)

Uploaded Source

Built Distribution

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

tidas_tools-0.0.23-py3-none-any.whl (349.9 kB view details)

Uploaded Python 3

File details

Details for the file tidas_tools-0.0.23.tar.gz.

File metadata

  • Download URL: tidas_tools-0.0.23.tar.gz
  • Upload date:
  • Size: 317.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for tidas_tools-0.0.23.tar.gz
Algorithm Hash digest
SHA256 26b83886ca092361886bf5837d17232b8530331a5d45471e7621872937a0c032
MD5 40eb60c616a0fe092820e5ca76a2e3a5
BLAKE2b-256 47bd815492d432b64bc40d2a507344e7948bf7ba61f2ed55dfbecda2f9383919

See more details on using hashes here.

File details

Details for the file tidas_tools-0.0.23-py3-none-any.whl.

File metadata

  • Download URL: tidas_tools-0.0.23-py3-none-any.whl
  • Upload date:
  • Size: 349.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.13

File hashes

Hashes for tidas_tools-0.0.23-py3-none-any.whl
Algorithm Hash digest
SHA256 70a0b1c84b38f05f949e67e27ac027493aa08fa0e9dd3b8805aa045709242db7
MD5 5698573e65792bbdabc92d003bfc93ce
BLAKE2b-256 b0f3d82cd54d16e49df12819964e3897f7e20f83eb18f8d28a8d7740e09ea93f

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