Pvwattsv8 solar_resouce_data not working

import PySAM.PySSC as pssc import PySAM.Pvwattsv8 as pv8 from datetime import datetime, timedelta start_time = datetime(2022, 1, 1) time_delta = timedelta(hours=1) num_hours = 8760 solar_resource_data = { "lat": info["Latitude"][0], "lon": info["Longitude"][0], "tz": info["Time Zone"][0], "elev": info["Elevation"][0], "year": [], "month": [], "day": [], "hour": [], "minute": [30] * num_hours, # "dn": list(site_generation["DNI"]), # "df": list(site_generation["DHI"]), # "gh": list(site_generation["GHI"]), # "wspd": list(site_generation["Wind Speed"]), # "tdry": list(site_generation["Temperature"]) "dn": [500]*num_hours, # Example values, replace with actual data "df": [100]*num_hours, # Example values, replace with actual data "gh": [600]*num_hours, # Example values, replace with actual data "wspd": [3]*num_hours, # Example values, replace with actual data "tdry": [20]*num_hours # Example values, replace with actual data } for hour in range(num_hours): current_time = start_time + time_delta * hour solar_resource_data["year"].append(current_time.year) solar_resource_data["month"].append(current_time.month) solar_resource_data["day"].append(current_time.day) solar_resource_data["hour"].append(current_time.hour) pv_model = pv8.new() pv_dat = pssc.dict_to_ssc_table(pvwatts_json, "pvwattsv8") pv_model = pv8.wrap(pv_dat) pv_model.SolarResource.assign({"solar_resource_data": solar_resource_data}) pv_model.execute() pv_model.Outputs.dc

Pvwattsv8.SolarResource.assign({'solar_resource_data': solar_resource_data_var})

import PySAM.Pvwattsv8 as pv8 import json from datetime import datetime, timedelta start_time = datetime(2022, 1, 1) time_delta = timedelta(hours=1) num_hours = 8760 solar_resource_data = {     "lat": 0,     "lon": 0,     "tz": 0,     "elev": 0,     "year": ,     "month": ,     "day": ,     "hour": ,     "minute": [30] * num_hours,     # "dn": list(site_generation["DNI"]),     # "df": list(site_generation["DHI"]),     # "gh": list(site_generation["GHI"]),     # "wspd": list(site_generation["Wind Speed"]),     # "tdry": list(site_generation["Temperature"])     "dn": [500]*num_hours, # Example values, replace with actual data     "df": [100]*num_hours, # Example values, replace with actual data     "gh": [600]*num_hours, # Example values, replace with actual data     "wspd": [3]*num_hours, # Example values, replace with actual data     "tdry": [20]*num_hours # Example values, replace with actual data } for hour in range(num_hours):     current_time = start_time + time_delta * hour     solar_resource_data["year"].append(current_time.year)     solar_resource_data["month"].append(current_time.month)     solar_resource_data["day"].append(current_time.day)     solar_resource_data["hour"].append(current_time.hour) pv_model = pv8.default("PVWattsNone") # see https://nrel-pysam.readthedocs.io/en/main/sam-configurations.html print("== Test with no weather data ==") # model will fail because defaults do not include weather verbose_simulation = 1 try:     pv_model.execute(verbose_simluation) except:     print("\npv_model failed") print("\n== Test with constructed data =="); # assign resource data constructed above pv_model.SolarResource.assign({"solar_resource_data": solar_resource_data}) print("\nDNI from inputs:") print(pv_model.SolarResource.solar_resource_data["dn"][0:23]) pv_model.execute() print("\nDC output:") print(pv_model.Outputs.dc[0:23]) print("\nDNI from outputs:") print(pv_model.Outputs.dn[0:23]) print("\n== Test with data from JSON =="); with open( 'example.json', 'r') as f:         pv_inputs = json.load( f ) print("\nDNI from inputs:") print(pv_model.SolarResource.solar_resource_data["dn"][0:23]) pv_model.execute() print("\nDC output:") print(pv_model.Outputs.dc[0:23]) print("\nDNI from outputs:") print(pv_model.Outputs.dn[0:23])