threedi-urban-eia-nl 0.0.1

3Di batch calculations

Introduction

This tool can be used for reeksberekeningen.

Installation

The easiest way to install the tool is through PyPi.

$ python3 -m pip install threedi-urban-eia-nl

Usage

To ensure the correct behaviour of this tool please go through the following steps:

1. Make sure your aggregation_settings table in the SQLite contains 3 entries for discharge: cum, cum_negative, and cum_positive. And all have timestep set to 3600.

2. Create a folder with all the rain files you want to use in your simulations. These rain files should be in ‘min,mm’-format, where min is the timestep in minutes and mm is the amount of rain that falls during the timestep in millimeters. Each timestep is seperated by a newline like in the example below:

   0,5.0
   30,1.5
   60,0.0

3. Create an output folder in which the result files will be stored.

4. Find the “id” of your model in the Threedi Model List: https://api.3di.live/v3/threedimodels/

5. Run $ run-rain-series-simulations --help to see which arguments you need to specify.

6. Run $ process-rain-series-results --help to see which arguments you need to specify.

Created Files and Directories

• aggregation_netcdf, directory containing simulation aggregate result data

• simulations, directory containing simulation log data (use –debug option)

• threedi_urban_eia_nl_statistics.csv, batch calculation result

• crashed_simulations.json, IDs of crashed simulations (optional)

• created_simulations_<date>.json, information about created simulations, serves as input file for process-rain-series-results

• gridadmin.h5, necessary for calculation of batch statistics

• nan_rows.json, information about weirs that contain NaN data in their cumulative discharge (optional)

Example

$ run-rain-series-simulations <ThreediModel ID> <rain files dir> <results dir> -o <organisation (optional)> -h <host (optional)>

$ process-rain-series-results <created simulations json file> -h <host (optional)> -d <sets debug flag to True> -s <skips downloading result files>

Example command:

$ run-rain-series-simulations 12345 rain_files/ results/ daan.vaningen

$ process-rain-series-results results/created_simulations.json daan.vaningen