Meteo Object Service

The ObjMeteoService gives access to some functionality from the meteo object. It includes meta data about the meteo objects and offers export and import functionality. Data can be loaded from csv file (in specific windPRO format), windPRO objects, or mesores.

import time
import os
from windproapi.utils import get_windpro_sample_path
from windproapi import WindProApi
from windproapi import nan_to_skipvalue

# Opening windPRO
_windproapi = WindProApi()
working_dir = os.path.join(get_windpro_sample_path('3.6'), 'ObjMeteoService')
os.makedirs(working_dir, exist_ok=True)
testdata_path = os.path.join(os.path.dirname(__file__), '../data')
_windproapi.start_windpro_random_port()

# Services
project_service = _windproapi.get_service('ProjectService')
objects_service = _windproapi.get_service('ObjectsService')
obj_meteo_service = _windproapi.get_service('ObjMeteoService')
factory = _windproapi.get_factory('WindproService')

# Making a new projects and adding meteo objects
project_path = os.path.join(working_dir, 'ObjMeteoService.w36p')
lng = -101.402205
lat = 46.732303

project_service.NewProject(lng=lng, lat=lat, filename=project_path)
time.sleep(1)

# Creating a new meteo object and importing a previous export file
new_obj = objects_service.AddObject(apiObjType='MeteoObjectData',
                                    lat=lat,
                                    lng=lng,
                                    userDesc='New Meteo obj')
exp_file = os.path.join(testdata_path, 'meteo_export', 'newsalem_export_single_height.csv')

# Import returns True if it completed correctly
res = obj_meteo_service.ImportFromWpExportFile(handle=new_obj.Handle, importFilename=exp_file)
# Getting the meteo object from the generic object.
meteo_obj = obj_meteo_service.GetMeteoObject(handle=new_obj.Handle)
print(meteo_obj)

# Creating a new meteoobject from a mesores file
# No information on the location is necessary
mesoFn = os.path.join(testdata_path, 'mesores', 'new_salem_01-01-2020;01-02-2020.mesores')
# Mesores files can contain multiple poitns thereore a list of handles is returned
mesoHandles = obj_meteo_service.CreateFromMesores(mesoResFilename=mesoFn)
meteo_obj = obj_meteo_service.GetMeteoObject(handle=mesoHandles[0])
print(meteo_obj)

# Exporting data to windPRO format
# Heights need to be identified by their index
int_array = factory.TROArray_System_Integer_([1, 2])
meto_export_path = os.path.join(working_dir, 'meto_exp_test.wpobjects')
obj_meteo_service.ExportMeteoObjectToFile(handle=mesoHandles[0],
                                          heightUids=int_array,
                                          exportFilename=meto_export_path)

# Deleting and reimporting object
objects_service.DeleteObject(mesoHandles[0])

new_obj = objects_service.AddObject(apiObjType='MeteoObjectData',
                                    lat=lat,
                                    lng=lng,
                                    userDesc='Reimported mesodata obj')
obj_meteo_service.ImportFromWpExportFile(handle=new_obj.Handle, importFilename=meto_export_path)
meteo_obj = obj_meteo_service.GetMeteoObject(handle=new_obj.Handle)
print(meteo_obj)

# Importing data from csv with an import filter
# make a new object
new_obj = objects_service.AddObject(apiObjType='MeteoObjectData',
                                    lat=lat + 0.05,
                                    lng=lng,
                                    userDesc='Mast from New Salem')
exp_file = os.path.join(testdata_path, 'meteo_export', 'newsalem_export_single_height.csv')

# Getting meteo object
meteo_mast = obj_meteo_service.GetMeteoObject(handle=new_obj.Handle)

# Meteo Import file needs to be set up
meteo_import = factory.TApiMeteoImportSetup()
import_file = os.path.join(testdata_path, 'meteo', 'import_filter.wls')
meteo_import.LoggerSetupFile = import_file
meteo_import.DontUseInSetup = False
meteo_import.IsOnlineData = False

# For the import setup we need infomration on the folder structure and where the data is located.
# Multiple folders could be included, in this case it is only one
folder_items = factory.TApiFileFolderItems()
folder_item = factory.TApiFileFolderItem()
folder_item.FFType = factory.TFileFolderListType('fftFile')
folder_item.FFName = os.path.join(testdata_path, 'meteo', 'New_Salem_2_South_60m_FINAL.csv')
folder_item.FFMask = None
folder_item.FFInclSubFolder = False
folder_item.FFTreatFolderAsZip = False
nan_to_skipvalue(folder_item)
folder_items.TApiFileFolderItem.append(folder_item)

# Add Folder structure to serach paths
meteo_import.SearchPathes = folder_items

# Add import setup to meteo object
nan_to_skipvalue(meteo_import)
obj_meteo_service.AddImportSetup(handle=new_obj.Handle, importSetup=meteo_import, loggerSetupFn=import_file)

# Automatically create heights. Needs to be done before loading data to determine what data should be loaded in.
obj_meteo_service.AutoCreateFromImportSetup(handle=meteo_mast.Handle)

# Load the actual data
obj_meteo_service.LoadAllData(handle=meteo_mast.Handle)

project_service.ExportToFile(filename=os.path.join(working_dir, 'meteo_script.w36e'))