Skip to main content

De app voor het runnen van de proevenverzamelingtool voor het bepalen van geotechnische parameters.

Project description

PV tool

Summary

About The Project

This project is a Streamlit frontend for the PV-tool - a comprehensive Python toolset for geotechnical analysis of soil samples.

PV-tool Integration

The app integrates directly with the PV-tool repository to provide:

  • Import & Validation: Load and validate geotechnical data from PV-tool Excel templates
  • C-Phi Analysis: Determine cohesion and friction angle parameters (Mohr-Coulomb)
  • SHANSEP Analysis: Stress History And Normalized Soil Engineering Properties
  • SU Analysis: Undrained shear strength tables and profiles

The PV-tool repository is cloned into pv-tool-submodule/ during installation. See PV-tool Integration Documentation for detailed technical information.

Features

✅ Multi-page Streamlit interface
✅ Full PV-tool integration via wrapper module
✅ Session state management for data sharing
✅ Interactive visualizations with Plotly
✅ Export capabilities (Excel, PDF, CSV)
✅ Support for multiple analysis types and investigation groups

This repository hosts a development version at http://localhost:8501 when running.

Requirements

Installation

1. Clone this repository

git clone https://github.com/your-username/pv-tool-app.git
cd pv-tool-app

2. Clone the PV-tool repository

The PV-tool is integrated as a separate repository in the pv-tool-submodule/ directory:

git clone https://github.com/PVorganization/PV-tool.git pv-tool-submodule

Alternative: Use as git submodule (optional, for advanced users):

git submodule add https://github.com/PVorganization/PV-tool.git pv-tool-submodule
git submodule update --init --recursive

3. Install dependencies

pip install -r requirements.txt

This will install:

  • Streamlit and all UI dependencies
  • PV-tool dependencies (scipy, matplotlib, openpyxl, etc.)
  • Data processing libraries (pandas, numpy)
  • Visualization tools (plotly, kaleido)

4. Verify installation

Check if the PV-tool wrapper loads correctly:

python -c "from src.pv_tool_wrapper import pv_tool; print(f'PV-tool available: {pv_tool.available}')"

If you see PV-tool available: True, you're ready to go! 🎉

Run the app

streamlit run app.py

Or use the convenience scripts:

  • Windows PowerShell: .\run.ps1
  • Windows Command Prompt: run.bat

The app will open in your default browser at http://localhost:8501

Note: The Streamlit server must be running to access the app. If you navigate to http://localhost:8501 and see "This site can't be reached", you need to start the server first using one of the commands above.

Usage

Quick Start

  1. Start the server (first time or after reboot):

    streamlit run app.py
    

    Or double-click run.bat or run.ps1

  2. Access the app in your browser at http://localhost:8501

  3. Stop the server when done: Press Ctrl+C in the terminal

Important: The server needs to be running for the app to be accessible. Think of it like starting a web server - you can't visit a website if the server isn't running!

Available Pages

Once the app runs, you can access the following pages:

  1. Home - Landing page with overview of available analyses
  2. 📥 Import en Validate - Import and validate geotechnical data from various formats (CSV, Excel, GEF, XML)
  3. 📊 C-Phi analyse - Analyze cohesion and friction angle parameters using Mohr-Coulomb failure envelope
  4. 🔬 SHANSEP analyse - Stress History And Normalized Soil Engineering Properties analysis
  5. 📈 SU-analyse - Undrained shear strength analysis and interpretation

Navigation

  • Use the sidebar to navigate between different analysis pages
  • Each page includes demo data functionality for testing
  • Data flows between pages using Streamlit's session state
  • Start with "Import en Validate" to load your data, then proceed to specific analyses

Project Structure

pv-tool-app/
├── app.py                          # Main landing page
├── pages/                          # Streamlit multipage structure
│   ├── 1_📥_Import_en_Validate.py  # Data import and validation
│   ├── 2_📊_C-Phi_Analyse.py       # C-Phi analysis
│   ├── 3_🔬_SHANSEP_Analyse.py     # SHANSEP analysis
│   └── 4_📈_SU-Analyse.py          # SU analysis
├── requirements.txt                # Python dependencies
├── docs/                           # Documentation
├── src/                            # Source code (future)
├── static/                         # Static assets
└── test/                           # Tests

Additional Documentation

See the docs/ folder for additional documentation:

PV-tool Resources

Troubleshooting

Submodule Issues

If the PV-tool submodule is not properly loaded:

git submodule update --init --recursive

Missing Dependencies

If you encounter import errors:

pip install -r requirements.txt --upgrade

Import Errors

Make sure you're running Python 3.11 and all dependencies are installed:

python --version
pip list

Contact

Product owner: Tjalda Deenekamp

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

pv_app-0.0.13.tar.gz (37.0 kB view details)

Uploaded Source

Built Distribution

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

pv_app-0.0.13-py3-none-any.whl (42.2 kB view details)

Uploaded Python 3

File details

Details for the file pv_app-0.0.13.tar.gz.

File metadata

  • Download URL: pv_app-0.0.13.tar.gz
  • Upload date:
  • Size: 37.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.12.13 Linux/6.17.0-1008-azure

File hashes

Hashes for pv_app-0.0.13.tar.gz
Algorithm Hash digest
SHA256 6a34d28e4fafcc022d86c17b3592b165bd0864d6bc2f9dda34f4f69a3d68dde1
MD5 1b78f2020af70df1a467e136f84faab3
BLAKE2b-256 874ce809cf9eb039f1b3aeae7686be85978e4f47ea8e3e41957b10f2a447312b

See more details on using hashes here.

File details

Details for the file pv_app-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: pv_app-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 42.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.12.13 Linux/6.17.0-1008-azure

File hashes

Hashes for pv_app-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 4e89542871996d62840a0a048baf0cf18a87e37c724bb4760925495ae42479b4
MD5 3846bb18a66bee95aab79558ec7b39ad
BLAKE2b-256 c8ca421deedeccf13e10f276d6d6d466181ec6afddcbb4a1d03be67f89439a19

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