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add pvdaq reference sites, fetch, config #438

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merged 25 commits into from
May 12, 2020
Merged

add pvdaq reference sites, fetch, config #438

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355b4bd
add pvdaq reference sites, fetch, config
wholmgren May 7, 2020
4f8efca
add json file with sites and observations
wholmgren May 8, 2020
7ef1c7c
doc fix
wholmgren May 8, 2020
4f38117
support resampling
wholmgren May 8, 2020
332516f
doc fix
wholmgren May 8, 2020
cecf16d
remove python mapping
wholmgren May 9, 2020
36e457e
refactor create_observation, create check_and_post_observation
wholmgren May 9, 2020
b4c3011
merge solararbiter/master
wholmgren May 9, 2020
d367fd6
documentation, cli
wholmgren May 9, 2020
39657b4
metadata working with dev api
wholmgren May 9, 2020
d26a543
stringy extra_parameters dict
wholmgren May 9, 2020
8735e64
api.rst
wholmgren May 10, 2020
4697472
whatsnew, debug code
wholmgren May 11, 2020
ec52dc1
add untested pvdaq.adjust_site_parameters
wholmgren May 11, 2020
b395c03
fix modeling parameters bug, fix mw bug
wholmgren May 11, 2020
c574b00
missing arg in docstring
wholmgren May 11, 2020
6b657c1
Update solarforecastarbiter/io/reference_observations/common.py
wholmgren May 11, 2020
02f72e4
test common
wholmgren May 11, 2020
a05754f
pvdaq fetch tests
wholmgren May 11, 2020
433bdb2
the test
wholmgren May 11, 2020
5f9fb3f
fix path
wholmgren May 12, 2020
bbae0e6
test_ref_pvdaq
wholmgren May 12, 2020
1dbb7d2
remove unused fixture
wholmgren May 12, 2020
9c87316
moar coverage
wholmgren May 12, 2020
4d038bc
remove unused import
wholmgren May 12, 2020
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20 changes: 19 additions & 1 deletion docs/source/api.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -279,8 +279,25 @@ DOE RTC
io.fetch.rtc.request_doe_rtc_data
io.fetch.rtc.fetch_doe_rtc

NREL PVDAQ
----------

.. autosummary::
:toctree: generated/

io.fetch.pvdaq.get_pvdaq_metadata
io.fetch.pvdaq.get_pvdaq_data


Reference observations
----------------------
======================

The following modules contain code for initializing the reference
database, wrappers for fetching data, functions for processing (e.g.
renaming and resampling) data, and wrapper functions for posting data.
The pure fetch functions are found in ``pvlib.iotools`` and in
``solarforecastarbiter.io.fetch``. See the source code for additional
files with site and observation metadata.

.. autosummary::
:toctree: generated/
Expand All @@ -295,6 +312,7 @@ Reference observations
io.reference_observations.srml
io.reference_observations.surfrad
io.reference_observations.arm
io.reference_observations.pvdaq

SFA API
=======
Expand Down
3 changes: 2 additions & 1 deletion docs/source/whatsnew/1.0.0rc1.rst
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Expand Up @@ -23,7 +23,8 @@ Enhancements
limit each request to one week of data (:issue:`424`) (:pull:`435`)
* PDF report figures are generated instead of SVG for easy integration into PDF
reports (:issue:`360`) (:pull:`437`)

* Added support for NREL PVDAQ sites to the reference database functions.
(:issue:`397`) (:pull:`438`)

Bug fixes
~~~~~~~~~
Expand Down
2 changes: 1 addition & 1 deletion solarforecastarbiter/cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -161,7 +161,7 @@ def referencedata():

network_opt = click.option(
'--network', multiple=True,
help="The Networks to act on. Defaults to all.",
help="The networks to act on. Defaults to all.",
default=reference_data.NETWORK_OPTIONS,
type=click.Choice(reference_data.NETWORK_OPTIONS))

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2 changes: 1 addition & 1 deletion solarforecastarbiter/datamodel.py
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Expand Up @@ -478,7 +478,7 @@ class Observation(BaseModel):
Variable name, e.g. power, GHI. Each allowed variable has an
associated pre-defined unit.
interval_value_type : str
The type of the data in the observation. Typically interval mean or
The type of the data in the observation. Typically interval_mean or
instantaneous, but additional types may be defined for events.
interval_length : pandas.Timedelta
The length of time between consecutive data points, e.g. 5 minutes,
Expand Down
106 changes: 106 additions & 0 deletions solarforecastarbiter/io/fetch/pvdaq.py
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@@ -0,0 +1,106 @@
"""Functions to read NREL PVDAQ data.
"""

# Code originally written by Bennet Meyers (@bmeyers), Stanford, SLAC in
# https://github.com/pvlib/pvlib-python/pull/664
# Adapated by Will Holmgren (@wholmgren), University of Arizona

import json
from io import StringIO

import requests
import pandas as pd


# consider adding an auth=(username, password) kwarg (default None) to
# support private data queries

def get_pvdaq_metadata(system_id, api_key):
"""Query PV system metadata from NREL's PVDAQ data service.

Parameters
----------
system_id: int
The system ID corresponding to the site that data should be
queried from.

api_key: string
Your NREL API key (https://developer.nrel.gov/docs/api-key/)

Returns
-------
list of dict
"""

params = {'system_id': system_id, 'api_key': api_key}
sites_url = 'https://developer.nrel.gov/api/pvdaq/v3/sites.json'
r = requests.get(sites_url, params=params)
r.raise_for_status()
outputs = json.loads(r.content)['outputs']
return outputs


def get_pvdaq_data(system_id, year, api_key='DEMO_KEY'):
"""Query PV system data from NREL's PVDAQ data service:

https://maps.nrel.gov/pvdaq/

This function uses the annual raw data file API, which is the most
efficient way of accessing multi-year, sub-hourly time series data.

Parameters
----------
system_id: int
The system ID corresponding to the site that data should be
queried from.

year: int or list of ints
Either the year to request or the list of years to request.
Multiple years will be concatenated into a single DataFrame.

api_key: string
Your NREL API key (https://developer.nrel.gov/docs/api-key/)

Returns
-------
pandas.DataFrame
A DataFrame containing the time series data from the
PVDAQ service over the years requested. Times are typically
in local time.

Notes
-----
The PVDAQ metadata contains a key "available_years" that is a useful
value for the *year* argument.
"""

try:
year = int(year)
except TypeError:
year = [int(yr) for yr in year]
else:
year = [year]

# Each year must queries separately, so iterate over the years and
# generate a list of dataframes.
# Consider putting this loop in its own private function with
# try / except / try again pattern for network issues and NREL API
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will we see any issues from this?

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The pvlib CI struggled with a different NREL API but I haven't run into any with the pvdaq API. They have a 1000 requests per hour limit but we are no where close to that. Let's see if it's a problem in the rc cycle.

# throttling
df_list = []
for yr in year:
params = {
'api_key': api_key,
'system_id': system_id,
'year': yr
}
base_url = 'https://developer.nrel.gov/api/pvdaq/v3/data_file'
response = requests.get(base_url, params=params)
response.raise_for_status()
df = pd.read_csv(StringIO(response.text))
df_list.append(df)

# concatenate the list of yearly DataFrames
df = pd.concat(df_list, axis=0, sort=True)
df['Date-Time'] = pd.to_datetime(df['Date-Time'])
df.set_index('Date-Time', inplace=True)
return df
193 changes: 193 additions & 0 deletions 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
1276,2019-01-01 00:00:00,0,-200,285,,0,0,0,0,24,,,0,,,
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1276,2019-01-01 03:30:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 03:45:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 04:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-01 06:00:00,0,-200,282,,0,0,0,0,24,,,0,,,
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1276,2019-01-01 07:15:00,0,-100,283,,0,0,449,0,24,,,0,,,
1276,2019-01-01 07:30:00,0,-200,284,,0,0,462,0,24,,,0,,,
1276,2019-01-01 07:45:00,0,-100,284,,0,0,473,0,24,,,0,,,
1276,2019-01-01 08:00:00,0,-100,284,,0,0,480,0,24,,,0,,,
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1276,2019-01-01 08:45:00,0,-200,284,,0,0,485,0,24,,,0,,,
1276,2019-01-01 09:00:00,0,-100,284,,0,0,484,0,24,,,0,,,
1276,2019-01-01 09:15:00,0,-200,284,,0,0,484,0,24,,,0,,,
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1276,2019-01-01 09:45:00,0,-100,284,,0,0,481,0,24,,,0,,,
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1276,2019-01-01 11:45:00,0,-100,285,,0,0,472,0,24,,,0,,,
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1276,2019-01-01 13:15:00,0,-200,285,,0,0,468,0,24,,,0,,,
1276,2019-01-01 13:30:00,0,-100,284,,0,0,469,0,24,,,0,,,
1276,2019-01-01 13:45:00,0,-200,285,,0,0,471,0,24,,,0,,,
1276,2019-01-01 14:00:00,0,-100,284,,0,0,469,0,24,,,0,,,
1276,2019-01-01 14:15:00,0,-200,284,,0,0,471,0,24,,,0,,,
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1276,2019-01-01 15:00:00,0,-100,285,,0,0,472,0,24,,,0,,,
1276,2019-01-01 15:15:00,0,-200,285,,0,0,469,0,24,,,0,,,
1276,2019-01-01 15:30:00,0,-100,284,,0,0,466,0,24,,,0,,,
1276,2019-01-01 15:45:00,0,-100,284,,0,0,459,0,24,,,0,,,
1276,2019-01-01 16:00:00,0,-200,283,,0,0,451,0,24,,,0,,,
1276,2019-01-01 16:15:00,0,-100,282,,0,0,438,0,24,,,0,,,
1276,2019-01-01 16:30:00,0,-200,283,,0,0,419,0,24,,,0,,,
1276,2019-01-01 16:45:00,0,-100,282,,0,0,390,0,24,,,0,,,
1276,2019-01-01 17:00:00,0,-100,282,,0,0,237,0,24,,,0,,,
1276,2019-01-01 17:15:00,0,-100,282,,0,0,19,0,24,,,0,,,
1276,2019-01-01 17:30:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 17:45:00,0,-200,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 18:00:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 18:15:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 18:30:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 18:45:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 19:00:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 19:15:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 19:30:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 19:45:00,0,-100,282,,0,0,0,0,24,,,0,,,
1276,2019-01-01 20:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 20:15:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-01 20:30:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 20:45:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 21:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 21:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 21:30:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 21:45:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-01 22:00:00,0,-100,284,,0,0,0,0,24,,,0,,,
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1276,2019-01-01 23:00:00,0,-100,285,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 00:45:00,0,-200,285,,0,0,0,0,24,,,0,,,
1276,2019-01-02 01:00:00,0,-200,285,,0,0,0,0,24,,,0,,,
1276,2019-01-02 01:15:00,0,-100,285,,0,0,0,0,24,,,0,,,
1276,2019-01-02 01:30:00,0,-200,285,,0,0,0,0,24,,,0,,,
1276,2019-01-02 01:45:00,0,-100,285,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 02:45:00,0,-100,285,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 04:15:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 04:30:00,0,-100,283,,0,0,0,0,24,,,0,,,
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1276,2019-01-02 11:45:00,0,-200,285,,0,0,458,0,24,,,0,,,
1276,2019-01-02 12:00:00,0,-200,285,,0,0,457,0,24,,,0,,,
1276,2019-01-02 12:15:00,0,-100,284,,0,0,455,0,24,,,0,,,
1276,2019-01-02 12:30:00,0,-100,284,,0,0,456,0,24,,,0,,,
1276,2019-01-02 12:45:00,0,-100,285,,0,0,455,0,24,,,0,,,
1276,2019-01-02 13:00:00,0,-100,284,,0,0,456,0,24,,,0,,,
1276,2019-01-02 13:15:00,0,-100,284,,0,0,455,0,24,,,0,,,
1276,2019-01-02 13:30:00,0,-100,285,,0,0,455,0,24,,,0,,,
1276,2019-01-02 13:45:00,0,-200,285,,0,0,458,0,24,,,0,,,
1276,2019-01-02 14:00:00,0,-100,285,,0,0,458,0,24,,,0,,,
1276,2019-01-02 14:15:00,0,-100,285,,0,0,459,0,24,,,0,,,
1276,2019-01-02 14:30:00,0,-200,285,,0,0,461,0,24,,,0,,,
1276,2019-01-02 14:45:00,0,-100,285,,0,0,462,0,24,,,0,,,
1276,2019-01-02 15:00:00,0,-100,284,,0,0,461,0,24,,,0,,,
1276,2019-01-02 15:15:00,0,-100,284,,0,0,461,0,24,,,0,,,
1276,2019-01-02 15:30:00,0,-200,284,,0,0,458,0,24,,,0,,,
1276,2019-01-02 15:45:00,0,-200,283,,0,0,455,0,24,,,0,,,
1276,2019-01-02 16:00:00,0,-100,283,,0,0,447,0,24,,,0,,,
1276,2019-01-02 16:15:00,0,-100,283,,0,0,434,0,24,,,0,,,
1276,2019-01-02 16:30:00,0,-200,281,,0,0,417,0,24,,,0,,,
1276,2019-01-02 16:45:00,0,-100,283,,0,0,392,0,24,,,0,,,
1276,2019-01-02 17:00:00,0,-200,283,,0,0,280,0,24,,,0,,,
1276,2019-01-02 17:15:00,0,-100,284,,0,0,23,0,24,,,0,,,
1276,2019-01-02 17:30:00,0,-200,284,,0,0,1,0,24,,,0,,,
1276,2019-01-02 17:45:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 18:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 18:15:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 18:30:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 18:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 19:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 19:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 19:30:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 19:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 20:00:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 20:15:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 20:30:00,0,-200,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 20:45:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 21:00:00,0,-100,283,,0,0,0,0,24,,,0,,,
1276,2019-01-02 21:15:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 21:30:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 21:45:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 22:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 22:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 22:30:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 22:45:00,0,-100,285,,0,0,0,0,24,,,0,,,
1276,2019-01-02 23:00:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 23:15:00,0,-200,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 23:30:00,0,-100,284,,0,0,0,0,24,,,0,,,
1276,2019-01-02 23:45:00,0,-200,285,,0,0,0,0,24,,,0,,,
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