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    "info": {
        "author": "Alex Guinman",
        "author_email": "alex@guinman.id.au",
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            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3"
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        "description": "# nem-reader\n\n[![PyPI version](https://badge.fury.io/py/nemreader.svg)](https://badge.fury.io/py/nemreader) [![Build Status](https://travis-ci.org/aguinane/nem-reader.svg?branch=master)](https://travis-ci.org/aguinane/nem-reader) [![Coverage Status](https://coveralls.io/repos/github/aguinane/nem-reader/badge.svg)](https://coveralls.io/github/aguinane/nem-reader)\n\nThe Australian Energy Market Operator (AEMO) defines a [Meter Data File Format (MDFF)](https://www.aemo.com.au/Stakeholder-Consultation/Consultations/Meter-Data-File-Format-Specification-NEM12-and-NEM13) for reading energy billing data.\nThis library sets out to parse these NEM12 (interval metering data) and NEM13 (accumulated metering data) data files into a useful python object, for use in other projects.\n\n## Usage\n\nFirst, read in the NEM file:\n```python\nfrom nemreader import read_nem_file\nm = read_nem_file('examples/unzipped/Example_NEM12_actual_interval.csv')\n```\n\nYou can see what data for the NMI and suffix (channel) is available:\n```python\n> print(m.header)\nHeaderRecord(version_header='NEM12', creation_date=datetime.datetime(2004, 4, 20, 13, 0), from_participant='MDA1', to_participant='Ret1')\n\n> print(m.transactions)\n{'VABD000163': {'E1': [], 'Q1': []}}\n```\n\nStandard suffix/channels are defined in the [National Metering Identifier Procedure](https://www.aemo.com.au/-/media/Files/Electricity/NEM/Retail_and_Metering/Metering-Procedures/2018/MSATS-National-Metering-Identifier-Procedure.pdf).\n`E1` is the general consumption channel (`11` for NEM13).\n\nMost importantly, you will want to get the energy data itself:\n\n```python\n> for nmi in m.readings:\n>     for channel in m.readings[nmi]:\n>         for reading in m.readings[nmi][suffix][-1:]:\n>             print(reading)\nReading(t_start=datetime.datetime(2004, 4, 17, 23, 30), t_end=datetime.datetime(2004, 4, 18, 0, 0), read_value=14.733, uom='kWh', quality_method='S14', event='', read_start=None, read_end=None)\n```\n\n## Command Line Usage\n\nYou can also output the NEM file in a more human readable format:\n\n```shell\nnemreader output example.zip\n```\n\nWhich outputs transposed values to a csv file for all channels:\n\n```\nperiod_start,period_end,E1,Q1,quality_method\n2004-02-01 00:00:00,2004-02-01 00:30:00,1.111,2.222,A\n2004-02-01 00:30:00,2004-02-01 01:00:00,1.111,2.222,A\n...\n```\n\n\n",
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