Assorted utility functions for working with data downloaded from Selectronics' SP-LINK programme which communicates with their controllers.

Latest release 20220606: Initial PyPI release.

I use this to gather and plot data from my solar inverter.

Function main(argv=None)

SP-Link command line mode.

Class SPLinkCommand(cs.timeseries.TimeSeriesBaseCommand, cs.cmdutils.BaseCommand)

Command line to work with SP-Link data downloads.

Command line usage:

Usage: splink [-d spdpath] [-n] subcommand...
    -d spdpath  Specify the directory containing the SP-LInk downloads
                and time series. Default from $SPLINK_DATADIR,
                or '.'
    -n          No action; recite planned actions.
  Subcommands:
    fetch [-F rsync-source] [-nx] [-- [rsync-options...]]
      Rsync everything from rsync-source into the downloads area.
      -F    Fetch rsync source, default from $SPLINK_FETCH_SOURCE.
      -n    Passed to rsync. Just more convenient than putting it at the end.
      -x    Delete source files.
    help [-l] [subcommand-names...]
      Print the full help for the named subcommands,
      or for all subcommands if no names are specified.
      -l  Long help even if no subcommand-names provided.
    import [-d dataset,...] [-n] [sp-link-download...]
      Import CSV data from the downloads area into the time series data.
      -d datasets       Comma separated list of datasets to import.
                        Default datasets: DailySummaryData DetailedData EventData
      -f                Force. Import datasets even if already marked as
                        imported.
      -n                No action. Recite planned imports.
      sp-link-download  Specify specific individual downloads to import.
                        The default is any download not tagged as already
                        imported.
    info
      Report infomation about the time series stored at tspath.
    plot [--show] [-f] [-o imagepath] days {mode|[dataset:]{glob|field}}...

Class SPLinkCSVDir(cs.fs.HasFSPath)

A class for working with SP-Link data downloads, referring to a particular PerformanceData* download directory.

Class SPLinkData(cs.fs.HasFSPath, cs.resources.MultiOpenMixin, cs.context.ContextManagerMixin)

A directory containing SP-LInk data.

This contains:

• downloads: a directory containing copies of various SP-Link downloads i.e. this contains directories named PerformanceData_*.
• events.db: accrued event data from the EventData CSV files
• DailySummaryData: an SPLinkDataDir containing accrued data from the DailySummaryData CSV files
• DetailedData: an SPLinkDataDir containing accrued data from the DetailedData CSV files

Class SPLinkDataDir(cs.timeseries.TimeSeriesDataDir, cs.timeseries.TimeSeriesMapping, builtins.dict, cs.resources.MultiOpenMixin, cs.context.ContextManagerMixin, cs.fs.HasFSPath, cs.configutils.HasConfigIni, cs.timeseries.HasEpochMixin, cs.timeseries.TimeStepsMixin)

A TimeSeriesDataDir to hold log data from an SP-Link CSV data download. This holds the data from a particular CSV log such as 'DetailedData'. The SPLinkData class manages a couple of these and a downloads subdirectory and an events SQLTags.

Method SPLinkDataDir.__init__(self, dirpath, dataset: str, step: int, policy=None, **kw): Initialise the SPLinkDataDir.

Parameters:

• dirpath: the pathname of the directory holding the downloaded CSV files
• dataset: which CSV file populates this time series, eg 'DetailedData'
• step: optional time series step size, default SPLinkDataDir.DEFAULT_LOG_FREQUENCY, which comes from SPLinkCSVDir.DEFAULT_LOG_FREQUENCY
• policy: optional TimespanPolicyinstance; if omitted anTimespanPolicyYearlyinstance will be made Other keyword arguments are passed to theTimeSeriesDataDir` initialiser.

Class SPLinkDataFileInfo(builtins.tuple)

SPLinkDataFileInfo(fspath, sitename, dataset, unixtime, dotext)

Method SPLinkDataFileInfo.__new__(_cls, fspath, sitename, dataset, unixtime, dotext): Create new instance of SPLinkDataFileInfo(fspath, sitename, dataset, unixtime, dotext)

Function ts2001_unixtime(tzname=None)

Convert an SP-Link seconds-since-2001-01-01-local-time offset into a UNIX time.

Release Log

Release 20220606: Initial PyPI release.