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weather
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yapf

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master
Micke Nordin 5 years ago
parent 5df1df43ca
commit 38a3662396
2 changed files with 72 additions and 66 deletions
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77
aggregateweather.py
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@ -10,9 +10,15 @@ import pandas as pd
import requests
import sys
def usage():
print( "Usage: " + __file__ + "[--config path_to_file.ini] [--station smhi_station_number ] --db database] [--host dbhost] [--user dbuser] [--password dbpassword]\n"
"Default configfile is weather.ini, any parameter can be overwritten on the command line")
print(
"Usage: " + __file__ +
"[--config path_to_file.ini] [--station smhi_station_number ] --db database] [--host dbhost] [--user dbuser] [--password dbpassword]\n"
"Default configfile is weather.ini, any parameter can be overwritten on the command line"
)
parser = argparse.ArgumentParser()
parser.add_argument('--config')
parser.add_argument('--db')
@ -33,7 +39,6 @@ password = config['MySQL']['password']
station = config['SMHI']['station']
# Defaults
z_msl = 48.854
lat = 59.178503
@ -61,7 +66,10 @@ if not (db and host and user and password):
sys.exit(1)
pd.options.mode.chained_assignment = None
station_data = requests.get(url='https://opendata-download-metobs.smhi.se/api/version/1.0/parameter/1/station/{}.json'.format(station)).json()
station_data = requests.get(
url=
'https://opendata-download-metobs.smhi.se/api/version/1.0/parameter/1/station/{}.json'
.format(station)).json()
newest_to = 0
for i in station_data['position']:
if i['to'] > newest_to:
@ -70,31 +78,23 @@ for i in station_data['position']:
lon = i['longitude']
TZ_lon = lon
mydb = mysql.connector.connect(auth_plugin='mysql_native_password',
database=db,
host=host,
passwd=password,
user=user)
mydb = mysql.connector.connect(
auth_plugin='mysql_native_password',
database=db,
host=host,
passwd=password,
user=user
)
cursor = mydb.cursor();
cursor = mydb.cursor()
date_select = (
"SELECT DISTINCT `date` "
"FROM weather "
)
date_select = ("SELECT DISTINCT `date` " "FROM weather ")
cursor.execute(date_select)
dates = cursor.fetchall()
csv = "date,T_max,T_min,T_mean,RH_max,RH_min,RH_mean,Rainfall\n"
for i in dates:
working_date = i[0].strftime('%Y-%m-%d')
day_select = (
'SELECT * FROM weather '
'WHERE date = "{}"'.format(working_date)
)
day_select = ('SELECT * FROM weather '
'WHERE date = "{}"'.format(working_date))
cursor.execute(day_select)
day = cursor.fetchall()
sum_rain = 0
@ -132,19 +132,24 @@ for i in dates:
sum_temp += j[temp]
sum_rel_hum += j[rel_hum]
sum_windspeed += j[windspeed]
if T_max < j[temp]:
if T_max < j[temp]:
T_max = j[temp]
if T_min > j[temp]:
if T_min > j[temp]:
T_min = j[temp]
if RH_max < j[rel_hum]:
if RH_max < j[rel_hum]:
RH_max = j[rel_hum]
if RH_min > j[rel_hum]:
if RH_min > j[rel_hum]:
RH_min = j[rel_hum]
T_mean = sum_temp / counter
RH_mean = sum_rel_hum / counter
csv += working_date + "," + str(T_max) + "," + str(T_min) + "," + str(T_mean) + "," + str(RH_max) + "," + str(RH_min) +"," + str(RH_mean) + "," + str(sum_rain) + "\n"
csv += working_date + "," + str(T_max) + "," + str(T_min) + "," + str(
T_mean) + "," + str(RH_max) + "," + str(RH_min) + "," + str(
RH_mean) + "," + str(sum_rain) + "\n"
DATA = StringIO(csv)
tsdata = pd.read_csv(DATA, parse_dates=True, infer_datetime_format=True, index_col='date')
tsdata = pd.read_csv(DATA,
parse_dates=True,
infer_datetime_format=True,
index_col='date')
et1 = ETo()
et1.param_est(tsdata, freq, z_msl, lat, lon, TZ_lon)
et1.ts_param.head()
@ -153,20 +158,18 @@ eto1 = et1.eto_hargreaves()
upsert = (
"REPLACE INTO aggregated_weather "
"(Date, T_max, T_min, T_mean, RH_max, RH_min, RH_mean, Rainfall, ETo, station) "
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
)
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)")
for key, value in eto1.items():
aggdate = key.strftime('%Y-%m-%d')
data = (
aggdate,float(tsdata.loc[aggdate, 'T_max']),float(tsdata.loc[aggdate, 'T_min']),float(tsdata.loc[aggdate, 'T_mean']),float(tsdata.loc[aggdate, 'RH_max']),float(tsdata.loc[aggdate, 'RH_min']),float(tsdata.loc[aggdate, 'RH_mean']),float(tsdata.loc[aggdate, 'Rainfall']),float(value),int(station)
)
data = (aggdate, float(tsdata.loc[aggdate, 'T_max']),
float(tsdata.loc[aggdate,
'T_min']), float(tsdata.loc[aggdate, 'T_mean']),
float(tsdata.loc[aggdate,
'RH_max']), float(tsdata.loc[aggdate, 'RH_min']),
float(tsdata.loc[aggdate, 'RH_mean']),
float(tsdata.loc[aggdate, 'Rainfall']), float(value), int(station))
cursor.execute(upsert, data)
mydb.commit()
mydb.close()

57
getweather.py
Unescape View File

@ -7,9 +7,15 @@ import mysql.connector
import requests
import sys
def usage():
print( "Usage: " + __file__ + "[--config path_to_file.ini] [--station smhi_station_number] [--period latest-hour|latest-day|latest-months] [--db database] [--host dbhost] [--user dbuser] [--password dbpassword]\n"
"Default configfile is weather.ini, any parameter can be overwritten on the command line")
print(
"Usage: " + __file__ +
"[--config path_to_file.ini] [--station smhi_station_number] [--period latest-hour|latest-day|latest-months] [--db database] [--host dbhost] [--user dbuser] [--password dbpassword]\n"
"Default configfile is weather.ini, any parameter can be overwritten on the command line"
)
parser = argparse.ArgumentParser()
parser.add_argument('--config')
parser.add_argument('--station')
@ -58,21 +64,17 @@ if not (db and host and user and password):
usage()
sys.exit(1)
mydb = mysql.connector.connect(
auth_plugin='mysql_native_password',
database=db,
host=host,
passwd=password,
user=user
)
mydb = mysql.connector.connect(auth_plugin='mysql_native_password',
database=db,
host=host,
passwd=password,
user=user)
cursor = mydb.cursor();
cursor = mydb.cursor()
upsert = (
"REPLACE INTO weather "
"(date, time, rainfall, rel_hum, temp, winddir, windspeed, station) "
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s)"
)
upsert = ("REPLACE INTO weather "
"(date, time, rainfall, rel_hum, temp, winddir, windspeed, station) "
"VALUES (%s, %s, %s, %s, %s, %s, %s, %s)")
# Metrics mapping
rainfall = "7"
rel_hum = "6"
@ -80,14 +82,19 @@ temp = "1"
winddir = "3"
windspeed = "4"
results = {}
for metric in [rainfall,rel_hum,temp,winddir,windspeed]:
results[metric] = requests.get(url='https://opendata-download-metobs.smhi.se/api/version/1.0/parameter/{}/station/{}/period/{}/data.json'.format(metric,station,period))
for metric in [rainfall, rel_hum, temp, winddir, windspeed]:
results[metric] = requests.get(
url=
'https://opendata-download-metobs.smhi.se/api/version/1.0/parameter/{}/station/{}/period/{}/data.json'
.format(metric, station, period))
rainfall_arr = sorted(results[rainfall].json()['value'], key = lambda i: i['date'])
rel_hum_arr = sorted(results[rel_hum].json()['value'], key = lambda i: i['date'])
temp_arr = sorted(results[temp].json()['value'], key = lambda i: i['date'])
winddir_arr = sorted(results[winddir].json()['value'], key = lambda i: i['date'])
windspeed_arr = sorted(results[windspeed].json()['value'], key = lambda i: i['date'])
rainfall_arr = sorted(results[rainfall].json()['value'],
key=lambda i: i['date'])
rel_hum_arr = sorted(results[rel_hum].json()['value'], key=lambda i: i['date'])
temp_arr = sorted(results[temp].json()['value'], key=lambda i: i['date'])
winddir_arr = sorted(results[winddir].json()['value'], key=lambda i: i['date'])
windspeed_arr = sorted(results[windspeed].json()['value'],
key=lambda i: i['date'])
i = 0
for k in rainfall_arr:
ts = int(k['date'] / 1000)
@ -99,13 +106,9 @@ for k in rainfall_arr:
widi = winddir_arr[i]['value']
wisp = windspeed_arr[i]['value']
data = (
date, time, rain, hum, te, widi, wisp, station
)
data = (date, time, rain, hum, te, widi, wisp, station)
cursor.execute(upsert, data)
i = i + 1
mydb.commit()
mydb.close()

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