Python based lib to locally read data from Goodwe inverters.

Heavily inspired by koen-lee: https://github.com/koen-lee/GoodweUDPToPvOutput/tree/main/GoodweUdpPoller

Basically all of the magic is in lib/goodwe.py, it queries the inverter, and returns a dictionary containing whatever it can gather. Should support up to 4 MPPT, but tested on my own with 2, YMMV ;)

from goodwe import Goodwe,GoodweStatus

ip = your_ip_here
gw = Goodwe(ip=ip)

try:
    data = gw.getData()
except Exception as e:
    print(f"failed: {e}")
    exit(0)

print(data)

Output would look something like this:

{
    "sample": "2021-06-07 16:04:32",
    "voltage_dc_1": 367.0,
    "current_dc_1": 0.6,
    "voltage_dc_2": 542.9,
    "current_dc_2": 9.3,
    "voltage_dc_3": 6553.5,
    "current_dc_3": 6553.5,
    "voltage_dc_4": 6553.5,
    "current_dc_4": 6553.5,
    "voltage_ac_1": 236.3,
    "voltage_ac_2": 233.8,
    "voltage_ac_3": 234.6,
    "current_ac_1": 7.2,
    "current_ac_2": 7.2,
    "current_ac_3": 7.4,
    "frequency_ac_1": 50.01,
    "frequency_ac_2": 50.0,
    "frequency_ac_3": 50.0,
    "power_ac": 5161,
    "status": "NORMAL",
    "temperature": 54.2,
    "yield_today": 36.0,
    "yield_total": 3348.7,
    "working_hours": 2052,
    "power_dc_1": 220.2,
    "power_dc_2": 5048.97,
    "net_frequency_1": 50.01,
    "net_frequency_2": 50.0,
    "net_frequency_3": 50.0
}

/lib
    goodwe.py --> goodwe interface
    pvoutput.py --> pvoutput interface
    db.py --> pg database helper
/scripts
    run.py --> read metrics from inverter and store in db
    p1.py --> read metrics from p1 electricity meter and store in db
    push_status.py --> push status to pvoutput (from db)
    push_output.py --> push daily totals to pvoutput (from db)

As a bonus, there's also some support for pvoutput, and a local db:

• copy config.ini.dist to config.ini, and populate (inverter settings, db credentials and pvoutput api key) run.py will fetch data from the inverter and store it in the local db:

PYTHONPATH=.:$PYTHONPATH python scripts/run.py

• push_status.py and push_output.py will push your data to pvoutput and can be run similarly, requirement is to have psycopg2 installed
• p1.py can read, parse and insert p1 data from a smart electricity meter
• db structure is in db.sql

Easiest, is to run it in a docker container:

docker start postgresql