README.md

sunnyportal-py

Python module to access PV systems in Sunny Portal.

sunnyportal2pvoutput

The script sunnyportal2pvoutput can be used to send data to PVOutput. It uses a config file to store the credentials for Sunny Portal and the API Key and System Id for PVOutput.

How to run

1. Clone or download the repository.
2. Enter the directory and run: PYTHONPATH=. ./bin/sunnyportal2pvoutput --dry-run sunnyportal.config
3. Enter the requested information and verify that the script is able to connect to Sunny Portal.
4. The information is saved in sunnyportal.config and can be edited/deleted if you misstype anything.
5. Once it works, replace --dry-run with e.g. --output to upload the last seven days output data to pvoutput or --status to upload data for the current day.
6. Add --quiet to silence the output.

$ PYTHONPATH=. ./bin/sunnyportal2pvoutput sunnyportal.config --help
usage: sunnyportal2pvoutput [-h] [-s] [-o] [-c] [-p DAYS_PAST] [-q] [-n] config

Connect Sunny Portal to PVoutput.org

positional arguments:
  config                Configuration file to use

optional arguments:
  -h, --help            show this help message and exit
  -s, --status          Report status(es)
  -o, --output          Report output(s)
  -c, --consumption     Report consumption
  -p DAYS_PAST, --days-past DAYS_PAST
                        number of DAYS in the past to go back -- default: 0 (today only)
  -q, --quiet           Silence output
  -n, --dry-run         Don't send any data

sunnyportal2file

The script sunnyportal2file can be used to save data from Sunny Portal to file/database. It uses the same config file as in sunnyportal2pvoutput to store the credentials for Sunny Portal. It will extract the fields (min, mean and max production) which are available in unit watt as numpy.uint32 along with corresponding timestamps and aggregate them into a pandas DataFrame from which it will save to file with the format specified. One file will be created for each plant your Sunny Portal account has access to.

How to run

1. Clone or download the repository.
2. Enter the directory and run: PYTHONPATH=. ./bin/sunnyportal2file sunnyportal.config --format csv (change --format if you prefer a different format)
3. Enter the requested information and verify that a file was created with the format you specified with the expected content
4. Once it works, you can specify a different start date with --start-date, and end date with --end-date (both defaults to yesterday)
5. If a data file already exists, it will only download new data and append to previously created data file (can override --start-date)
6. Use --include-filter if you only want to download data for a specific plant
7. Add --quiet to silence the output.

$ PYTHONPATH=. ./bin/sunnyportal2file -h
usage: sunnyportal2file [-h] -f {json,csv,pickle,feather,parquet,excel,sqlite} [-s START_DATE] [-e END_DATE] [-i INCLUDE_FILTER] [-q] config

Save information from Sunny Portal to file

positional arguments:
  config                Configuration file to use

optional arguments:
  -h, --help            show this help message and exit
  -f {json,csv,pickle,feather,parquet,excel,sqlite}, --format {json,csv,pickle,feather,parquet,excel,sqlite}
                        Format for which the data is to be saved
  -s START_DATE, --start-date START_DATE
                        The start date of data to be saved in the format YYYY-MM-DD (default yesterday)
  -e END_DATE, --end-date END_DATE
                        The end date of data to be saved in the format YYYY-MM-DD (default yesterday)
  -i INCLUDE_FILTER, --include-filter INCLUDE_FILTER
                        A string used to filter which plants to include (default includes all plants)
  -q, --quiet           Silence output