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add pvdaq reference sites, fetch, config (#438)
* add pvdaq reference sites, fetch, config * add json file with sites and observations * doc fix * support resampling * doc fix * remove python mapping * refactor create_observation, create check_and_post_observation * documentation, cli * metadata working with dev api * stringy extra_parameters dict * api.rst * whatsnew, debug code * add untested pvdaq.adjust_site_parameters * fix modeling parameters bug, fix mw bug * missing arg in docstring * Update solarforecastarbiter/io/reference_observations/common.py Co-authored-by: Tony Lorenzo <[email protected]> * test common * pvdaq fetch tests * the test * fix path * test_ref_pvdaq * remove unused fixture * moar coverage * remove unused import Co-authored-by: Tony Lorenzo <[email protected]>
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‎docs/source/api.rst

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@@ -279,8 +279,25 @@ DOE RTC
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io.fetch.rtc.request_doe_rtc_data
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io.fetch.rtc.fetch_doe_rtc
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NREL PVDAQ
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----------
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.. autosummary::
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:toctree: generated/
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io.fetch.pvdaq.get_pvdaq_metadata
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io.fetch.pvdaq.get_pvdaq_data
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Reference observations
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----------------------
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======================
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The following modules contain code for initializing the reference
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database, wrappers for fetching data, functions for processing (e.g.
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renaming and resampling) data, and wrapper functions for posting data.
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The pure fetch functions are found in ``pvlib.iotools`` and in
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``solarforecastarbiter.io.fetch``. See the source code for additional
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files with site and observation metadata.
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.. autosummary::
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:toctree: generated/
@@ -295,6 +312,7 @@ Reference observations
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io.reference_observations.srml
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io.reference_observations.surfrad
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io.reference_observations.arm
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io.reference_observations.pvdaq
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SFA API
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=======

‎docs/source/whatsnew/1.0.0rc1.rst

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@@ -23,7 +23,8 @@ Enhancements
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limit each request to one week of data (:issue:`424`) (:pull:`435`)
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* PDF report figures are generated instead of SVG for easy integration into PDF
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reports (:issue:`360`) (:pull:`437`)
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* Added support for NREL PVDAQ sites to the reference database functions.
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(:issue:`397`) (:pull:`438`)
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Bug fixes
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~~~~~~~~~

‎solarforecastarbiter/cli.py

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@@ -161,7 +161,7 @@ def referencedata():
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network_opt = click.option(
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'--network', multiple=True,
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help="The Networks to act on. Defaults to all.",
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help="The networks to act on. Defaults to all.",
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default=reference_data.NETWORK_OPTIONS,
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type=click.Choice(reference_data.NETWORK_OPTIONS))
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‎solarforecastarbiter/datamodel.py

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@@ -478,7 +478,7 @@ class Observation(BaseModel):
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Variable name, e.g. power, GHI. Each allowed variable has an
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associated pre-defined unit.
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interval_value_type : str
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The type of the data in the observation. Typically interval mean or
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The type of the data in the observation. Typically interval_mean or
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instantaneous, but additional types may be defined for events.
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interval_length : pandas.Timedelta
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The length of time between consecutive data points, e.g. 5 minutes,

‎solarforecastarbiter/io/fetch/pvdaq.py

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@@ -0,0 +1,106 @@
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"""Functions to read NREL PVDAQ data.
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"""
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# Code originally written by Bennet Meyers (@bmeyers), Stanford, SLAC in
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# https://github.com/pvlib/pvlib-python/pull/664
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# Adapated by Will Holmgren (@wholmgren), University of Arizona
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import json
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from io import StringIO
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import requests
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import pandas as pd
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# consider adding an auth=(username, password) kwarg (default None) to
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# support private data queries
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def get_pvdaq_metadata(system_id, api_key):
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"""Query PV system metadata from NREL's PVDAQ data service.
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Parameters
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----------
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system_id: int
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The system ID corresponding to the site that data should be
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queried from.
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api_key: string
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Your NREL API key (https://developer.nrel.gov/docs/api-key/)
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Returns
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-------
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list of dict
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"""
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params = {'system_id': system_id, 'api_key': api_key}
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sites_url = 'https://developer.nrel.gov/api/pvdaq/v3/sites.json'
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r = requests.get(sites_url, params=params)
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r.raise_for_status()
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outputs = json.loads(r.content)['outputs']
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return outputs
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def get_pvdaq_data(system_id, year, api_key='DEMO_KEY'):
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"""Query PV system data from NREL's PVDAQ data service:
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https://maps.nrel.gov/pvdaq/
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This function uses the annual raw data file API, which is the most
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efficient way of accessing multi-year, sub-hourly time series data.
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Parameters
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----------
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system_id: int
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The system ID corresponding to the site that data should be
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queried from.
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year: int or list of ints
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Either the year to request or the list of years to request.
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Multiple years will be concatenated into a single DataFrame.
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api_key: string
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Your NREL API key (https://developer.nrel.gov/docs/api-key/)
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Returns
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-------
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pandas.DataFrame
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A DataFrame containing the time series data from the
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PVDAQ service over the years requested. Times are typically
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in local time.
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Notes
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-----
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The PVDAQ metadata contains a key "available_years" that is a useful
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value for the *year* argument.
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"""
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try:
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year = int(year)
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except TypeError:
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year = [int(yr) for yr in year]
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else:
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year = [year]
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# Each year must queries separately, so iterate over the years and
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# generate a list of dataframes.
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# Consider putting this loop in its own private function with
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# try / except / try again pattern for network issues and NREL API
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# throttling
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df_list = []
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for yr in year:
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params = {
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'api_key': api_key,
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'system_id': system_id,
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'year': yr
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}
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base_url = 'https://developer.nrel.gov/api/pvdaq/v3/data_file'
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response = requests.get(base_url, params=params)
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response.raise_for_status()
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df = pd.read_csv(StringIO(response.text))
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df_list.append(df)
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# concatenate the list of yearly DataFrames
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df = pd.concat(df_list, axis=0, sort=True)
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df['Date-Time'] = pd.to_datetime(df['Date-Time'])
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df.set_index('Date-Time', inplace=True)
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return df

‎solarforecastarbiter/io/fetch/tests/data/pvdaq_2019_data.csv

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SiteID,Date-Time,ac_current,ac_power,ac_voltage,ambient_temp,dc_current,dc_power,dc_voltage,inverter_error_code,inverter_temp,module_temp,poa_irradiance,power_factor,relative_humidity,wind_direction,wind_speed
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1276,2019-01-02 08:45:00,0,-200,283,,0,0,479,0,24,,,0,,,
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1276,2019-01-02 09:00:00,0,-100,283,,0,0,476,0,24,,,0,,,
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1276,2019-01-02 09:15:00,0,-100,283,,0,0,473,0,24,,,0,,,
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1276,2019-01-02 09:30:00,0,-100,284,,0,0,469,0,24,,,0,,,
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1276,2019-01-02 09:45:00,0,-100,284,,0,0,468,0,24,,,0,,,
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1276,2019-01-02 10:00:00,0,-100,284,,0,0,465,0,24,,,0,,,
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1276,2019-01-02 10:15:00,0,-100,284,,0,0,463,0,24,,,0,,,
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1276,2019-01-02 10:30:00,0,-100,284,,0,0,463,0,24,,,0,,,
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1276,2019-01-02 10:45:00,0,-200,284,,0,0,464,0,24,,,0,,,
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1276,2019-01-02 11:00:00,0,-200,285,,0,0,463,0,24,,,0,,,
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1276,2019-01-02 11:15:00,0,-100,285,,0,0,460,0,24,,,0,,,
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1276,2019-01-02 11:30:00,0,-100,285,,0,0,458,0,24,,,0,,,
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1276,2019-01-02 11:45:00,0,-200,285,,0,0,458,0,24,,,0,,,
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1276,2019-01-02 12:00:00,0,-200,285,,0,0,457,0,24,,,0,,,
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1276,2019-01-02 12:15:00,0,-100,284,,0,0,455,0,24,,,0,,,
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1276,2019-01-02 12:30:00,0,-100,284,,0,0,456,0,24,,,0,,,
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1276,2019-01-02 12:45:00,0,-100,285,,0,0,455,0,24,,,0,,,
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1276,2019-01-02 13:00:00,0,-100,284,,0,0,456,0,24,,,0,,,
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1276,2019-01-02 13:15:00,0,-100,284,,0,0,455,0,24,,,0,,,
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1276,2019-01-02 13:30:00,0,-100,285,,0,0,455,0,24,,,0,,,
153+
1276,2019-01-02 13:45:00,0,-200,285,,0,0,458,0,24,,,0,,,
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1276,2019-01-02 14:00:00,0,-100,285,,0,0,458,0,24,,,0,,,
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1276,2019-01-02 14:15:00,0,-100,285,,0,0,459,0,24,,,0,,,
156+
1276,2019-01-02 14:30:00,0,-200,285,,0,0,461,0,24,,,0,,,
157+
1276,2019-01-02 14:45:00,0,-100,285,,0,0,462,0,24,,,0,,,
158+
1276,2019-01-02 15:00:00,0,-100,284,,0,0,461,0,24,,,0,,,
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1276,2019-01-02 15:15:00,0,-100,284,,0,0,461,0,24,,,0,,,
160+
1276,2019-01-02 15:30:00,0,-200,284,,0,0,458,0,24,,,0,,,
161+
1276,2019-01-02 15:45:00,0,-200,283,,0,0,455,0,24,,,0,,,
162+
1276,2019-01-02 16:00:00,0,-100,283,,0,0,447,0,24,,,0,,,
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1276,2019-01-02 16:15:00,0,-100,283,,0,0,434,0,24,,,0,,,
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1276,2019-01-02 16:30:00,0,-200,281,,0,0,417,0,24,,,0,,,
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1276,2019-01-02 16:45:00,0,-100,283,,0,0,392,0,24,,,0,,,
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1276,2019-01-02 17:00:00,0,-200,283,,0,0,280,0,24,,,0,,,
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1276,2019-01-02 17:15:00,0,-100,284,,0,0,23,0,24,,,0,,,
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1276,2019-01-02 17:30:00,0,-200,284,,0,0,1,0,24,,,0,,,
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1276,2019-01-02 17:45:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 18:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 18:15:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 18:30:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 18:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 19:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 19:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 19:30:00,0,-200,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 19:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 20:00:00,0,-200,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 20:15:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 20:30:00,0,-200,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 20:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 21:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 21:15:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 21:30:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 21:45:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 22:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 22:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 22:30:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 22:45:00,0,-100,285,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 23:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 23:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 23:30:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 23:45:00,0,-200,285,,0,0,0,0,24,,,0,,,

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