diff --git a/heat2urbanimpact_control.py b/heat2urbanimpact_control.py
index dd36ed791bd136b26c76e440116ba480f9ce7358..c09892eb956226e651116f36c5176bb5daaa7cad 100644
--- a/heat2urbanimpact_control.py
+++ b/heat2urbanimpact_control.py
@@ -1 +1,209 @@
-#freva plugin development
+# SPDX-FileCopyrightText: 2024 Deutsche Klimarechenzentrum
+#
+# SPDX-License-Identifier: EUPL-1.2
+
+"""
+heat2urbanimpact_test plugin API wrapper.
+"""
+
+######################################################
+# import commonly used libraries. You can add/remove
+# libraries as needed
+######################################################
+
+import json
+from pathlib import Path
+
+# from evaluation_system.api.exceptions import PluginError
+from typing import List, Optional
+
+from evaluation_system.api import plugin
+
+# from evaluation_system.api.parameters import (
+# Bool,
+# CacheDirectory,
+# Directory,
+# Float,
+# InputDirectory,
+# Integer,
+# ParameterDictionary,
+# SelectField,
+# SolrField,
+# String,
+# )
+from evaluation_system.api.parameters import (
+ CacheDirectory,
+ Directory,
+ Integer,
+ ParameterDictionary,
+ SelectField,
+ String,
+)
+
+
+class heat2urbanimpact_test(plugin.PluginAbstract):
+ ######################################################
+ # Define the details for the plugin
+ ######################################################
+
+ # Version of the heat2urbanimpact_test plugin (major, minor, patch) * Mandatory
+ __version__ = (0, 0, 0)
+ # Short Description of the heat2urbanimpact_test plugin * Mandatory
+ __short_description__: str = (
+ "Heat period data from regional climate models for urban impact models"
+ )
+ # Optional category this plugin belongs to
+ __category__: Optional[str] = "Support"
+ # Optional tags, that are the plugin can be described with and found by
+ __tags__: Optional[List[str]] = [
+ "heat",
+ "regional climate model",
+ "urban climate model",
+ ]
+ # Optional author of the plugin
+ tool_developer: Optional[str] = "Bente Tiedje, Astrid Ziemann"
+ # Optional long description of the author of the plugin
+ __long_description__: Optional[
+ str
+ ] = "This plugin processes the development of the atmospheric temperature stratification during a specified heat period from regional climate model data and tailors the data for the usage in urban impact models. For a selectable region of interest and period of time this plugin returns hourly temperature data at different layers/hights in a directly usable format (format specification). This plugin is based on the NUKLEUS ensemble of 3km horizontal grid."
+
+ ######################################################
+ # Define the parameters for the plugin * Mandatory
+ ######################################################
+
+ __parameters__ = ParameterDictionary(
+ SelectField(
+ name="experiment",
+ options={"GWL 2°C": "ssp370-gwl2k", "GWL 3°C": "ssp370-gwl3k"},
+ help=("Please select the global warming level of interest."),
+ ),
+ String(
+ name="shape_file",
+ default="None",
+ help=(
+ "Please enter something. Doesn't work yet. Needs to be copied from climpact: Select a geo reference file defining your region of interest, if None is selected (default), the whole region, that is defined in the climate data will be taken. Note: You can either select a path on the HPC system, or a web url pointing to the file."
+ ),
+ ),
+ SelectField(
+ name="region",
+ options={
+ "municipality 1": "mun1",
+ "municipality 2": "mun2",
+ "municipality 3": "mun3",
+ },
+ help=(
+ "Please select something. Doesn't work yet. Needs to be copied from climpact: Select a pre defined German municipality of interest. This selection has only effect if you don't chose a shape file."
+ ),
+ ),
+ String(
+ name="split_by",
+ default="None",
+ help=(
+ "Please enter something. Doesn't work yet. Needs to be copied from climpact: If your selected geo reference file has multiple geometries and you whish to process each geometry separatly you can choose a split key that splits the geometries into different sub regions. The values for the split key will thereby used to distinguish the sub regions."
+ ),
+ ),
+ SelectField(
+ name="event",
+ options={
+ "75th percentile": "75",
+ "95th percentile": "95",
+ "99th percentile": "99",
+ },
+ default="95",
+ help=(
+ "Please select the exceptionality of the heat period by selecting percentiles of temperature probability distribution. Default is the 95th percentile."
+ ),
+ ),
+ Integer(
+ name="length_of_event",
+ default=3,
+ help=(
+ "Please enter the number of days of the heat period you would like to receive as output. An integer between 1 and 14 days would be plausible. Default is 3 days."
+ ),
+ ),
+ String(
+ name="months_of_event",
+ default="July",
+ help=(
+ "Please enter the month(s) when your heat event is supposed to happen for your studies. E.g. for single month 'June' or for multiple months 'May:August'. Default is 'July'."
+ ),
+ ),
+ SelectField(
+ name="impact_model",
+ options={"PALM4U": "PALM4U", "ENVI-met": "ENVI-met"},
+ help=(
+ "The format of the output will be tailored for the selected impact model."
+ ),
+ ),
+ # Bool(
+ # name="checkbox",
+ # default=True,
+ # ),
+ # InputDirectory(
+ # name="inputdirectory",
+ # ),
+ # SolrField(
+ # name="solrfield",
+ # facet="facet",
+ # group=1,
+ # multiple=False,
+ # predefined_facets=None,
+ # editable=True,
+ # ),
+ Directory(
+ name="outputdir",
+ default="$USER_OUTPUT_DIR/$SYSTEM_DATETIME",
+ mandatory=True,
+ help=("The default output directory for the freva-wrk instance"),
+ ),
+ CacheDirectory(
+ name="cache",
+ default="$USER_CACHE_DIR",
+ mandatory=True,
+ ),
+ # SelectField(
+ # name="selectfield",
+ # options={"first": "1st", "second": "2nd"},
+ # ),
+ # Integer(
+ # name="integer",
+ # default=1,
+ # ),
+ # Float(
+ # name="float",
+ # default=1.0,
+ # ),
+ # Directory(
+ # name="outputdir",
+ # ),
+ )
+
+ def run_tool(self, config_dict=None):
+ import os
+
+ os.makedirs(config_dict["cache"], exist_ok=True)
+ os.makedirs(config_dict["outputdir"], exist_ok=True)
+ errorfile = Path(config_dict["cache"]) / "error.log"
+ json_file = Path(config_dict["cache"]) / "out.json"
+ with json_file.open("w") as json_f:
+ json.dump(config_dict, json_f, indent=4)
+ with errorfile.open("w") as error_f:
+ self.call(
+ f"python {Path(__file__).parent / '/src/heat2urbanimpact_test/scientific_code.py'} {json_file}",
+ stderr=error_f,
+ )
+
+ # self.call(f"python scientific_code.py {config_dict}")
+ # self.call(f"python template_plugin.py arg1 arg2 {config_dict}")
+ # self.call(f"template_runner.sh {config_dict}")
+
+ # json_file = Path(config_dict["cache"]) / "out.json"
+ # with json_file.open("w") as json_f:
+ # json.dump(config_dict, json_f, indent=4)
+ # with errorfile.open("w") as error_f:
+ # self.call(
+ # f"{self.class_basedir}/main_runner.sh {json_file}",
+ # stderr=error_f,
+ # )
+ return self.prepare_output(config_dict["outputdir"])
+