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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 data formats.


1. Introduction

This toolkit contains two independent tools:

  • TIDAS and eILCD Data Format Conversion Tool
  • TIDAS Data Validation 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 Data Validation Tool Usage

(1) Tool Functionalities

This tool validates whether TIDAS data complies with the specified format standards.

(2) Command-line Arguments

Argument Short form Description
--help -h Display help message
--input-dir -i Directory containing TIDAS data to validate (note: this directory must directly contain the data files, not their parent directory)
--verbose -v Enable verbose logging

(3) Usage Example

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

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 data validation functionality
# Execute automated tests
uv run pytest

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

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

9. Contribution

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

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