Retrieving SolarEdge solar panel generation data from the API using Python

solaredge_retrieval.py

import pandas as pd
import solaredge
import time

s = solaredge.Solaredge("YOUR-API-KEY")
site_id = YOUR-SITE-ID

# Edit this date range as you see fit
# If querying at the maximum resolution of 15 minute intervals, the API is limited to queries of a month at a time
# This script queries one day at a time, with a one-second pause per day that is polite but probably not necessary
day_list = pd.date_range(start="2019-12-01",end="2020-12-01")
day_list = day_list.strftime('%Y-%m-%d')

energy_df_list = []

for day in day_list:
    temp = s.get_energy_details(site_id,day+' 00:00:00',day +  ' 23:59:59',time_unit='QUARTER_OF_AN_HOUR')
    temp_df = pd.DataFrame(temp['energyDetails']['meters'][0]['values'])
    energy_df_list.append(temp_df)
    time.sleep(1)

power_df_list = []

for day in day_list:
    temp = s.get_power_details(site_id,day+' 00:00:00',day +  ' 23:59:59')
    temp_df = pd.DataFrame(temp['powerDetails']['meters'][0]['values'])
    power_df_list.append(temp_df)
    time.sleep(1)


energy_df = pd.concat(energy_df_list)
energy_df.columns = ['date','energy']
power_df = pd.concat(power_df_list)
power_df.columns = ['date','power']

merged = pd.merge(energy_df,power_df)

merged.to_csv("C:/merged_solar_data.csv",index=False)

What about if you want to pull the temperature and current data?

Not sure, sorry. Maybe I should make this a repository to support issues though.

…

On Sat, Mar 27, 2021, 12:02 PM Conet1502 ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ What about if you want to pull the temperature and current data? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <https://gist.github.com/47393f597353ebd52cf767c2f02c213b#gistcomment-3683399>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABZYDEDPKJSX66M5H62JDVDTFX6SFANCNFSM4Z5BPUUA> .

add this to the solaredge.py file

def get_data(self, site_id, short_serial ,start_time, end_time):
    url = urljoin(BASEURL2, site_id, short_serial, "data")
    params = {
        'startTime': start_time,
        'endTime': end_time,
		'api_key': self.token,
    }
    r = requests.get(url,params)
    r.raise_for_status()
    return r.json()

and this to the example solaredge_retrieval.py

Line1Data_df_list = []

for day in day_list:
temp = s.get_data(site_id,short_serial,day+' 00:00:00',day + ' 23:59:59')

#temp_df = pd.DataFrame(temp['data']['telemetries'])
#temp_df = temp_df.drop(['L1Data'], axis=1)
temp = s.get_data(site_id,short_serial,day+' 00:00:00',day +  ' 23:59:59')
temp_df1 = pd.json_normalize(temp['data']['telemetries'])
Line1Data_df_list.append(temp_df1)
#time.sleep(1)

Also add this to the solaredge.py

BASEURL2 = 'https://monitoringapi.solaredge.com/equipment'

Thanks for the additions! I moved this gist to a repo: https://github.com/sfirke/solaredge/ If you're up for it, feel free to send those changes as a pull request.

I get an error when downloading a whole year, due to summer time difference (DST) error

• issue is that during DST switch, one hour gets data missing
• at DST reversal, two hour data points are overlapped, thus broken data again

How to solve this? And download full year 15min power values?

How to get the full year data in one line?

• instead of adding up days after each other

@MaykThewessen I see you created an issue in that repo, let's continue there.