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prices.py
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# Copyright (c) 2022 Graham Lea
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the
# following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following
# disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote
# products derived from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
# INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import logging
from datetime import date
from typing import List, Iterable, Union
import amberelectric
from amberelectric.api import AmberApi
from amberelectric.model.actual_interval import ActualInterval
from amberelectric.model.current_interval import CurrentInterval
from amberelectric.model.forecast_interval import ForecastInterval
from util import chunked, date_stream
def stream_price_data(client: AmberApi, site_id: str, start_date: date, end_date: date) -> Iterable[ActualInterval]:
"""
Uses the given client to query the Amber API for all Prices data for the specified Site between the given dates
(both inclusive), and returns a generator that streams Price Interval objects.
"""
# Do requests in batches. API couldn't handle large responses in testing. (2021-09-11)
for date_range in chunked(date_stream(start_date, end_date), 20):
batch_start = date_range[0]
batch_end = date_range[-1]
try:
logging.info(f"Retrieving prices: {batch_start} -> {batch_end}")
price_records: List[Union[ActualInterval, CurrentInterval, ForecastInterval]] = \
client.get_prices(site_id, start_date=batch_start, end_date=batch_end)
logging.info(" Done")
for pr in price_records:
if isinstance(pr, ActualInterval):
yield pr
except amberelectric.ApiException as ex:
raise RuntimeError(f"We failed to retrieve your Amber prices because of an error: {ex}") from ex