def get_co2eq_per_kwh():
zone = request.args.get("zone", "")
try:
# Production seems to be more universally available.
# If you want a more accurate and reliable results, please use the paid API from https://api.electricitymap.org
parser = PARSER_KEY_TO_DICT["production"][zone]
except KeyError as e:
return error("zone not found", 400)
try:
# TODO: cache and/or save to database, right now we'll end up bombarding well meaning public APIs.
# The current assumption is that the users will only call the endpoint once every 10-20 minutes, so this is fine.
res = parser(zone, logger=logging.getLogger(__name__))
if isinstance(res, (list, tuple)):
# TODO: fix this to use all available data
# At the time of writing this, I am only trying to get a working API with "close enough data"
res = res[0]
except Exception as e:
return error("error fetching carbon intensity", 500)
try:
validate_production(res, zone)
except ValidationError as e:
# Log and respond with error
return error("validation error: {}".format(str(e)), 500)
co2eq = 0.0
total_mw = 0.0
default_co2e_per_mwh = kgco2e_per_mwh["unknown"]
for (source_type, mw) in res["production"].items():
# Sum of (emission per megawatt by source * megawatts generated)
co2eq += kgco2e_per_mwh.get(source_type, default_co2e_per_mwh) * mw
total_mw += mw
# Dividing co2eq by total_mw will give us kgco2eq/MW.
# For the sake of simplicity, we just assume it'll remain constant for 1 hour, so with that magic, it's kgco2eq/mwh
# Since there's 1000 grams in 1 kg and 1000 kilowatts in 1 Megawatt, the number is same for gco2eq/kwh
response = {
"zone": zone,
"carbonIntensity": math.ceil(co2eq / total_mw),
}
if "datetime" in res:
# While python technically follows only ISO 8601 and seems rfc3339-compatible
# api.electricitymap.com seems to use the Z notation instead of the +00:00 and we don't want to trip anything up
timestring = res["datetime"].astimezone(timezone("UTC")).isoformat()[:-6] + "Z"
response["datetime"] = timestring
response["updatedAt"] = timestring
return jsonify(response)
def test_no_zoneKey(self):
with self.assertRaises(Exception, msg="zoneKey is required!"):
validate_production(p2, "FR")
def test_no_datetime(self):
with self.assertRaises(Exception, msg="Datetime key must be present!"):
validate_production(p1, "FR")
def test_no_datetime(self):
with self.assertRaises(Exception, msg = 'Datetime key must be present!'):
validate_production(p1, 'FR')
def test_parser(zone, data_type, target_datetime):
"""\b
Parameters
----------
zone: a two letter zone from the map
data_type: in ['production', 'exchangeForecast', 'production', 'exchange',
'price', 'consumption', 'generationForecast', 'consumptionForecast']
target_datetime: string parseable by arrow, such as 2018-05-30 15:00
\b
Examples
-------
>>> poetry run test_parser FR
>>> poetry run test_parser FR production
>>> poetry run test_parser NO-NO3-\>SE exchange
>>> poetry run test_parser GE production --target_datetime="2022-04-10 15:00"
"""
if target_datetime:
target_datetime = arrow.get(target_datetime).datetime
start = time.time()
parser = PARSER_KEY_TO_DICT[data_type][zone]
if data_type in ["exchange", "exchangeForecast"]:
args = zone.split("->")
else:
args = [zone]
res = parser(*args,
target_datetime=target_datetime,
logger=logging.getLogger(__name__))
if not res:
raise ValueError("Error: parser returned nothing ({})".format(res))
elapsed_time = time.time() - start
if isinstance(res, (list, tuple)):
res_list = list(res)
else:
res_list = [res]
try:
dts = [e["datetime"] for e in res_list]
except:
raise ValueError(
"Parser output lacks `datetime` key for at least some of the "
"ouput. Full ouput: \n\n{}\n".format(res))
assert all([
type(e["datetime"]) is datetime.datetime for e in res_list
]), "Datetimes must be returned as native datetime.datetime objects"
last_dt = arrow.get(max(dts)).to("UTC")
first_dt = arrow.get(min(dts)).to("UTC")
max_dt_warning = ""
if not target_datetime:
max_dt_warning = (" :( >2h from now !!!" if
(arrow.utcnow() - last_dt).total_seconds() > 2 * 3600
else " -- OK, <2h from now :) (now={} UTC)".format(
arrow.utcnow()))
print("Parser result:")
pp = pprint.PrettyPrinter(width=120)
pp.pprint(res)
print("\n".join([
"---------------------",
"took {:.2f}s".format(elapsed_time),
"min returned datetime: {} UTC".format(first_dt),
"max returned datetime: {} UTC {}".format(last_dt, max_dt_warning),
]))
if type(res) == dict:
res = [res]
for event in res:
try:
if data_type == "production":
validate_production(event, zone)
elif data_type == "consumption":
validate_consumption(event, zone)
elif data_type == "exchange":
validate_exchange(event, zone)
except ValidationError as e:
logger.warning("Validation failed @ {}: {}".format(
event["datetime"], e))
def test_good_datapoint(self):
self.assertFalse(validate_production(p9, "FR"),
msg="This datapoint is good!")
def test_missing_types_allowed(self):
self.assertFalse(
validate_production(p7, "CH"),
msg="CH, NO, AUS-TAS, US-NEISO don't require Coal/Oil/Unknown!",
)
def test_future_not_allowed(self):
with self.assertRaises(
Exception, msg="Datapoints from the future are not valid!"):
validate_production(p5, "FR")
def test_missing_types_allowed(self):
self.assertFalse(validate_production(p7, 'CH'), msg = "CH, NO, AUS-TAS, US-NEISO don't require Coal/Oil/Unknown!")
def test_missing_types(self):
with self.assertRaises(Exception, msg = 'Coal/Oil/Unknown are required!'):
validate_production(p6, 'FR')
def test_future_not_allowed(self):
with self.assertRaises(Exception, msg = 'Datapoints from the future are not valid!'):
validate_production(p5, 'FR')
def test_zoneKey_mismatch(self):
with self.assertRaises(Exception, msg = 'zoneKey mismatch must be caught!'):
validate_production(p4, 'FR')
def test_bad_datetime(self):
with self.assertRaises(Exception, msg = 'datetime object is required!'):
validate_production(p3, 'FR')
def test_no_zoneKey(self):
with self.assertRaises(Exception, msg = 'zoneKey is required!'):
validate_production(p2, 'FR')
def test_bad_datetime(self):
with self.assertRaises(Exception, msg="datetime object is required!"):
validate_production(p3, "FR")
def test_zoneKey_mismatch(self):
with self.assertRaises(Exception,
msg="zoneKey mismatch must be caught!"):
validate_production(p4, "FR")
def test_negative_production(self):
with self.assertRaises(Exception, msg = 'Negative generation should be rejected!'):
validate_production(p8, 'FR')
def test_missing_types(self):
with self.assertRaises(Exception,
msg="Coal/Oil/Unknown are required!"):
validate_production(p6, "FR")
def test_good_datapoint(self):
self.assertFalse(validate_production(p9, 'FR'), msg = 'This datapoint is good!')
def test_negative_production(self):
with self.assertRaises(Exception,
msg="Negative generation should be rejected!"):
validate_production(p8, "FR")
def test_no_countryCode(self):
with self.assertRaises(Exception, msg = 'countryCode is required!'):
validate_production(p2, 'FR')
def test_parser(zone, data_type, target_datetime):
"""
Parameters
----------
zone: a two letter zone from the map
data_type: in ['production', 'exchangeForecast', 'production', 'exchange',
'price', 'consumption', 'generationForecast', 'consumptionForecast']
target_datetime: string parseable by arrow, such as 2018-05-30 15:00
Examples
-------
>>> python test_parser.py NO-NO3-\>SE exchange
parser result:
{'netFlow': -51.6563, 'datetime': datetime.datetime(2018, 7, 3, 14, 38, tzinfo=tzutc()), 'source': 'driftsdata.stattnet.no', 'sortedZoneKeys': 'NO-NO3->SE'}
---------------------
took 0.09s
min returned datetime: 2018-07-03 14:38:00+00:00
max returned datetime: 2018-07-03T14:38:00+00:00 UTC -- OK, <2h from now :) (now=2018-07-03T14:39:16.274194+00:00 UTC)
>>> python test_parser.py FR production
parser result:
[... long stuff ...]
---------------------
took 5.38s
min returned datetime: 2018-07-02 00:00:00+02:00
max returned datetime: 2018-07-03T14:30:00+00:00 UTC -- OK, <2h from now :) (now=2018-07-03T14:43:35.501375+00:00 UTC)
"""
if target_datetime:
target_datetime = arrow.get(target_datetime).datetime
start = time.time()
parser = PARSER_KEY_TO_DICT[data_type][zone]
if data_type in ['exchange', 'exchangeForecast']:
args = zone.split('->')
else:
args = [zone]
res = parser(*args, target_datetime=target_datetime)
if not res:
print('Error: parser returned nothing ({})'.format(res))
return
elapsed_time = time.time() - start
if isinstance(res, (list, tuple)):
res_list = list(res)
else:
res_list = [res]
try:
dts = [e['datetime'] for e in res_list]
except:
print('Parser output lacks `datetime` key for at least some of the '
'ouput. Full ouput: \n\n{}\n'.format(res))
return
assert all([type(e['datetime']) is datetime.datetime for e in res_list]), \
'Datetimes must be returned as native datetime.datetime objects'
last_dt = arrow.get(max(dts)).to('UTC')
first_dt = arrow.get(min(dts)).to('UTC')
max_dt_warning = ''
if not target_datetime:
max_dt_warning = (' :( >2h from now !!!' if
(arrow.utcnow() - last_dt).total_seconds() > 2 * 3600
else ' -- OK, <2h from now :) (now={} UTC)'.format(
arrow.utcnow()))
print('\n'.join([
'parser result:',
res.__str__(),
'---------------------',
'took {:.2f}s'.format(elapsed_time),
'min returned datetime: {} UTC'.format(first_dt),
'max returned datetime: {} UTC {}'.format(last_dt, max_dt_warning),
]))
try:
if data_type == 'production':
validate_production(res, zone)
elif data_type == 'consumption':
validate_consumption(res, zone)
elif data_type == 'exchange':
validate_exchange(res, zone)
except ValidationError as e:
print('\nValidation failed: {}'.format(e))
def test_countryCode_mismatch(self):
with self.assertRaises(Exception, msg = 'countryCode mismatch must be caught!'):
validate_production(p4, 'FR')
def test_parser(zone, data_type, target_datetime):
"""
Parameters
----------
zone: a two letter zone from the map
data_type: in ['production', 'exchangeForecast', 'production', 'exchange',
'price', 'consumption', 'generationForecast', 'consumptionForecast']
target_datetime: string parseable by arrow, such as 2018-05-30 15:00
Examples
-------
>>> python test_parser.py NO-NO3-\>SE exchange
parser result:
{'netFlow': -51.6563, 'datetime': datetime.datetime(2018, 7, 3, 14, 38, tzinfo=tzutc()), 'source': 'driftsdata.stattnet.no', 'sortedZoneKeys': 'NO-NO3->SE'}
---------------------
took 0.09s
min returned datetime: 2018-07-03 14:38:00+00:00
max returned datetime: 2018-07-03T14:38:00+00:00 UTC -- OK, <2h from now :) (now=2018-07-03T14:39:16.274194+00:00 UTC)
>>> python test_parser.py FR production
parser result:
[... long stuff ...]
---------------------
took 5.38s
min returned datetime: 2018-07-02 00:00:00+02:00
max returned datetime: 2018-07-03T14:30:00+00:00 UTC -- OK, <2h from now :) (now=2018-07-03T14:43:35.501375+00:00 UTC)
"""
if target_datetime:
target_datetime = arrow.get(target_datetime).datetime
start = time.time()
parser = PARSER_KEY_TO_DICT[data_type][zone]
if data_type in ["exchange", "exchangeForecast"]:
args = zone.split("->")
else:
args = [zone]
res = parser(
*args, target_datetime=target_datetime, logger=logging.getLogger(__name__)
)
if not res:
print("Error: parser returned nothing ({})".format(res))
sys.exit(1)
elapsed_time = time.time() - start
if isinstance(res, (list, tuple)):
res_list = list(res)
else:
res_list = [res]
try:
dts = [e["datetime"] for e in res_list]
except:
print(
"Parser output lacks `datetime` key for at least some of the "
"output. Full output: \n\n{}\n".format(res)
)
sys.exit(2)
assert all(
[type(e["datetime"]) is datetime.datetime for e in res_list]
), "Datetimes must be returned as native datetime.datetime objects"
last_dt = arrow.get(max(dts)).to("UTC")
first_dt = arrow.get(min(dts)).to("UTC")
max_dt_warning = ""
if not target_datetime:
max_dt_warning = (
" :( >2h from now !!!"
if (arrow.utcnow() - last_dt).total_seconds() > 2 * 3600
else " -- OK, <2h from now :) (now={} UTC)".format(arrow.utcnow())
)
print("Parser result:")
pp = pprint.PrettyPrinter(width=120)
pp.pprint(res)
print(
"\n".join(
[
"---------------------",
"took {:.2f}s".format(elapsed_time),
"min returned datetime: {} UTC".format(first_dt),
"max returned datetime: {} UTC {}".format(last_dt, max_dt_warning),
]
)
)
if type(res) == dict:
res = [res]
for event in res:
try:
if data_type == "production":
validate_production(event, zone)
elif data_type == "consumption":
validate_consumption(event, zone)
elif data_type == "exchange":
validate_exchange(event, zone)
except ValidationError as e:
print("Validation failed: {}".format(e))
sys.exit(3)
def test_good_datapoint(self):
self.assertFalse(validate_production(p9, 'FR'),
msg='This datapoint is good!')
