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cmaq.py
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import sys
from configparser import ConfigParser
from datetime import datetime, timedelta
from sqlalchemy import extract
import pytz
from controllers import Session
from exposures.cmaq_utils import latlon2rowcol
from flask import jsonify
from models import ExposureDatum, ExposureList, QualityMetricsList, QualityMetricsDatum
parser = ConfigParser()
parser.read('ini/connexion.ini')
sys.path.append(parser.get('sys-path', 'exposures'))
sys.path.append(parser.get('sys-path', 'controllers'))
class CmaqExposures(object):
def is_valid_date_range(self, **kwargs):
session = Session()
var_set = kwargs.get('variable').split(';')
for var in var_set:
min_date = session.query(ExposureList.utc_min_date_time).filter(
ExposureList.variable == var).one()
max_date = session.query(ExposureList.utc_max_date_time).filter(
ExposureList.variable == var).one()
session.close()
if min_date[0].date() > datetime.strptime(kwargs.get('end_date'), "%Y-%m-%d").date():
return False
elif max_date[0].date() < datetime.strptime(kwargs.get('start_date'), "%Y-%m-%d").date():
return False
elif datetime.strptime(kwargs.get('start_date'), "%Y-%m-%d").date() > \
datetime.strptime(kwargs.get('end_date'), "%Y-%m-%d").date():
return False
return True
def is_valid_lat_lon(self, **kwargs):
# lat: 0 to +/- 90, lon: 0 to +/- 180 as lat,lon
import re
lat_lon = kwargs.get('lat_lon')
for item in lat_lon.split(';'):
if re.match(r'^[-+]?([1-8]?\d(\.\d+)?|90(\.0+)?),\s*[-+]?(180(\.0+)?|((1[0-7]\d)|([1-9]?\d))(\.\d+)?)$',
item) is None:
return False
return True
def is_valid_resolution(self, **kwargs):
res_set = set()
session = Session()
var_set = kwargs.get('variable').split(';')
for var in var_set:
res = session.query(ExposureList.resolution).filter(
ExposureList.variable == var).one()
session.close()
for item in res:
res_set.update(item.split(';'))
if kwargs.get('resolution') not in res_set:
return False
return True
def is_valid_aggregation(self, **kwargs):
agg_set = set()
session = Session()
var_set = kwargs.get('variable').split(';')
for var in var_set:
agg = session.query(ExposureList.aggregation).filter(
ExposureList.variable == var).one()
session.close()
for item in agg:
agg_set.update(item.split(';'))
if kwargs.get('aggregation') not in agg_set:
return False
return True
def is_valid_utc_offset(self, **kwargs):
off_set = {'utc', 'eastern', 'central', 'mountain', 'pacific'}
if kwargs.get('utc_offset') in off_set:
return True
else:
return False
def validate_parameters(self, **kwargs):
if not self.is_valid_date_range(**kwargs):
return False, ('Invalid parameter', 400, {'x-error': 'Invalid parameter: start_date, end_date'})
elif not self.is_valid_lat_lon(**kwargs):
return False, ('Invalid parameter', 400, {'x-error': 'Invalid parameter: lat_lon'})
elif not self.is_valid_resolution(**kwargs):
return False, ('Invalid parameter', 400, {'x-error': 'Invalid parameter: resolution'})
elif not self.is_valid_aggregation(**kwargs):
return False, ('Invalid parameter', 400, {'x-error': 'Invalid parameter: aggregation'})
elif not self.is_valid_utc_offset(**kwargs):
return False, ('Invalid parameter', 400, {'x-error': 'Invalid parameter: utc_offset'})
else:
return True, ''
def get_values(self, **kwargs):
# variable, start_date, end_date, lat_lon, resolution = None, aggregation = None, utc_offset = None
# 'UTC', 'US/Central', 'US/Eastern','US/Mountain', 'US/Pacific'
tzone_dict = {'utc': 'UTC',
'eastern': 'US/Eastern',
'central': 'US/Central',
'mountain': 'US/Mountain',
'pacific': 'US/Pacific'}
# validate input from user
is_valid, message = self.validate_parameters(**kwargs)
if not is_valid:
return message
# create data object
data = {}
data['values'] = []
# set UTC offset as time zone parameter for query
dt = datetime.now()
utc_offset = int(str(pytz.timezone(tzone_dict.get(kwargs.get('utc_offset'))).localize(dt)
- pytz.utc.localize(dt)).split(':')[0])
# datetime objects for query and output adjustment
start_time = datetime.strptime(kwargs.get('start_date'), "%Y-%m-%d")
end_time = datetime.strptime(kwargs.get('end_date'), "%Y-%m-%d") + timedelta(hours=23)
if start_time.year == end_time.year:
year_set = [(start_time, end_time)]
else:
s_time = start_time
e_time = end_time
yr_range = range(s_time.year, e_time.year + 1, 1)
year_set = []
for yr in yr_range:
if datetime(yr, 1, 1, 0, 0) <= s_time:
start_time = s_time
else:
start_time = datetime(yr, 1, 1, 0, 0)
if datetime(yr, 12, 31, 23, 0) >= e_time:
end_time = e_time
else:
end_time = datetime(yr, 12, 31, 23, 0)
year_set += [(start_time, end_time)]
# retrieve query result for each lat,lon pair and add to data object
lat_lon_set = kwargs.get('lat_lon').split(';')
var_set = kwargs.get('variable').split(';')
for lat_lon in lat_lon_set:
coords = lat_lon.split(',')
for var in var_set:
# determine exposure type to query
cmaq_output = []
for years in year_set:
start_time = years[0]
end_time = years[1]
row, col = latlon2rowcol(coords[0], coords[1], str(start_time.year))
# set resolution and aggregate to query
exposure = var
if kwargs.get('resolution') == 'day':
exposure += '_' + kwargs.get('aggregation') + '_24hr'
elif kwargs.get('resolution') == '7day':
exposure += '_' + kwargs.get('aggregation') + '_7day'
elif kwargs.get('resolution') == '14day':
exposure += '_' + kwargs.get('aggregation') + '_14day'
session = Session()
if kwargs.get('include_quality_metrics') == True:
has_quality_metric = session.query(ExposureList.has_quality_metric).filter(
ExposureList.variable == var).scalar()
if has_quality_metric:
dq_vars = [r.variable for r in session.query(QualityMetricsList.variable). \
filter(getattr(QualityMetricsList, var) == 't').all()]
ret_vars = []
for r in dq_vars:
ret_vars.append(var + '_' + r)
else:
has_quality_metric = False
if kwargs.get('resolution') == 'hour':
# hourly resolution of data - return all hours for date range
if has_quality_metric:
query = session.query(ExposureDatum.id,
ExposureDatum.utc_date_time,
getattr(ExposureDatum, exposure),
*ret_vars). \
outerjoin(QualityMetricsDatum, ExposureDatum.utc_date_time==QualityMetricsDatum.utc_date_time). \
filter(ExposureDatum.utc_date_time >= start_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.utc_date_time <= end_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.row == row). \
filter(ExposureDatum.col == col)
else:
query = session.query(ExposureDatum.id,
ExposureDatum.utc_date_time,
getattr(ExposureDatum, exposure)). \
filter(ExposureDatum.utc_date_time >= start_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.utc_date_time <= end_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.row == row). \
filter(ExposureDatum.col == col)
else:
# daily resolution of data - return only matched hours for date range
if has_quality_metric:
query = session.query(ExposureDatum.id,
ExposureDatum.utc_date_time,
getattr(ExposureDatum, exposure),
*ret_vars). \
outerjoin(QualityMetricsDatum, ExposureDatum.utc_date_time==QualityMetricsDatum.utc_date_time). \
filter(ExposureDatum.utc_date_time >= start_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.utc_date_time <= end_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.row == row). \
filter(ExposureDatum.col == col). \
filter(extract('hour', ExposureDatum.utc_date_time) == utc_offset)
else:
query = session.query(ExposureDatum.id,
ExposureDatum.utc_date_time,
getattr(ExposureDatum, exposure)). \
filter(ExposureDatum.utc_date_time >= start_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.utc_date_time <= end_time + timedelta(hours=utc_offset)). \
filter(ExposureDatum.row == row). \
filter(ExposureDatum.col == col). \
filter(extract('hour', ExposureDatum.utc_date_time) == utc_offset)
# add query output to data object in JSON structured format
quality_metric_values=[]
for query_return_values in query:
if has_quality_metric and len(query_return_values) > 3 :
keys = dq_vars
values = query_return_values[3:]
quality_metric = dict(zip(keys, values))
cmaq_output.append({'date_time': query_return_values[1].strftime("%Y-%m-%d %H:%M:%S"),
'value': float(query_return_values[2]),
'quality_metric': quality_metric})
else:
cmaq_output.append({'date_time': query_return_values[1].strftime("%Y-%m-%d %H:%M:%S"),
'value': float(query_return_values[2])})
session.close()
data['values'].append({'variable': var,
'lat_lon': lat_lon,
'cmaq_output': cmaq_output})
return jsonify(data)