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weatherAPI.py
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import time
import requests
from translate import translator
import numpy as np
import pandas as pd
import datetime
from aibot_date import export_date, gregorian_to_jalali, format_jalali_date
from aibot_time import export_time
from adhanAPI import Adhan
from vocab import (
USER_CITY, weather_description_asked,
weather_temperature_asked,
tr_weather_description,
day_asked,
time_asked,
weather_logical,
temp_asked, tr_null_cities)
from reply_gen import tr_date, tr_time, tr_single_date, tr_single_time
from aibot_utils import location_handler, unique_without_sort
# Class to handle weather api
class Weather:
def __init__(self):
self.appid = "API_TOKEN"#insert the token here
self.openweatherapi_5dayforecast_url = "http://api.openweathermap.org/data/2.5/forecast?q={}&APPID=APITOKEN&units=metric&lang=fa"
self.eng_openweatherapi = "http://api.openweathermap.org/data/2.5/forecast?q={}&APPID=ee41144a3fc05599947c9ffe87e12bd4&units=metric"
self.adhan = Adhan()
def get_city_5dayforecast_weather(self, cityName):
try:
data = requests.get(
self.openweatherapi_5dayforecast_url.format(cityName)).json()
except:
return pd.DataFrame()
if data["cod"] == "200":
weathers = []
for w_list in data["list"]:
tmp = w_list["main"]
tmp["dt_txt"] = datetime.datetime.fromisoformat(
w_list["dt_txt"])
tmp["description"] = w_list["weather"][0]["description"]
tmp["main"] = w_list["weather"][0]["main"]
weathers.append(tmp)
return pd.DataFrame(weathers)
else:
try:
time.sleep(1)
if cityName in tr_null_cities.keys():
cityname_eng = tr_null_cities[cityName]
else:
cityname_eng = translator("fa", "en", cityName)[0][0][0]
data = requests.get(
self.eng_openweatherapi.format(cityname_eng)).json()
if data["cod"] == "200":
weathers = []
for w_list in data["list"]:
tmp = w_list["main"]
tmp["dt_txt"] = datetime.datetime.fromisoformat(
w_list["dt_txt"])
tmp["description"] = w_list["weather"][0]["description"]
tmp["main"] = w_list["weather"][0]["main"]
weathers.append(tmp)
return pd.DataFrame(weathers)
else:
return pd.DataFrame()
except Exception:
return pd.DataFrame()
def getCityWeather(self, city, date):
today = datetime.datetime.today()
if date < today - datetime.timedelta(hours=1):
date = today
city_weather = self.get_city_5dayforecast_weather(city)
if city_weather.empty:
return pd.DataFrame()
closest = np.argmin(np.abs(city_weather["dt_txt"] - date))
return city_weather.iloc[closest]
def getCityWeatherInDatePeriod(self, city, d1, d2):
city_weather = self.get_city_5dayforecast_weather(city)
if city_weather.empty:
return pd.DataFrame()
c1 = np.argmin(np.abs(city_weather["dt_txt"] - d1))
c2 = np.argmin(np.abs(city_weather["dt_txt"] - d2))
if c1 > c2:
tmp = c2
c2 = c1
c1 = tmp
return city_weather.iloc[c1:c2]
def get_answer(self, question, tokens, labels):
answer = {'type': ['1'], 'city': [], 'date': [],
'time': [], 'religious_time': [], 'calendar_type': [], 'event': [], 'api_url': [], 'result': []}
generated_sentence = ""
location = unique_without_sort(
location_handler(question, tokens, labels, check_validation=False))
date_list = []
date_list_jalali = []
exportdate = export_date(question, tokens, labels)
no_date = False
events = []
for d in exportdate:
if d[0]:
date_list.append(d[0])
if (not d[1][0]) and (not d[1][1]) and (type(d[1][2]) != bool):
is_there_any_events = True
events.append(d[1][2])
answer["event"] = events
d_n = len(date_list)
today = datetime.datetime.today()
if d_n == 0:
date_list = [today]
today_j = gregorian_to_jalali(today.year, today.month, today.day)
answer["date"] = [format_jalali_date(today_j)]
d_n = 1
no_date = True
date_list = unique_without_sort(date_list)
date_list_jalali = []
new_date_list = []
next5day = today + datetime.timedelta(5)
ignored_date = []
for d in date_list:
j = gregorian_to_jalali(d.year, d.month, d.day)
date_list_jalali.append(format_jalali_date(j))
if d.date() <= next5day.date() and d.date() >= today.date():
new_date_list.append(d)
else:
ignored_date.append(d)
if ignored_date:
ig = []
for d in ignored_date:
ig.append(tr_single_date(d))
generated_sentence = "دیتای بیشتر از ۵ روز آینده و روزهای گذشته وجود ندارد، از تاریخ {} صرف نظر شده است".format(
" و ".join(ig))
if len(new_date_list) == 0:
new_date_list = [today]
d_n = 1
date_list = new_date_list
d_n = len(date_list)
answer["date"] = date_list_jalali
l_n = len(location)
# see if the cities are valid:
if l_n == 0:
location = [USER_CITY]
l_n = 1
api_url = []
for l in location:
api_url.append(self.openweatherapi_5dayforecast_url.format(l))
answer["api_url"] = api_url
answer["city"] = location
time_list = []
time_iso = []
exporttime, is_adhan, adhan_url, adhan_names = export_time(
question, tokens, labels)
if is_adhan:
answer["religious_time"] = adhan_names
if adhan_url:
for au in adhan_url:
if au:
answer["api_url"].append(au)
for t in exporttime:
if t != None:
time_list.append(t.strftime("%H:%M"))
time_iso.append(t)
answer["time"] = time_list
t_n = len(time_iso)
time_iso = unique_without_sort(time_iso)
time_list = unique_without_sort(time_list)
logicals = self.check_logical(tokens)
if not logicals:
logicals = self.check_logical(question)
if logicals:
result, n_generated_sentence = self.logical_handler(question, tokens, labels,
logicals, time_iso, date_list, location)
if generated_sentence:
generated_sentence = generated_sentence + "." + n_generated_sentence
else:
generated_sentence = n_generated_sentence
answer["result"] = result
else:
if t_n == 0:
if "صبح" in question:
time_list.append("8:00")
time_iso.append(datetime.time(8, 0))
elif "شب " in question:
time_list.append("21:00")
time_iso.append(datetime.time(21, 0))
else:
time_list.append("12:00")
time_iso.append(datetime.time(12, 0))
t_n = 1
is_weather_description_asked = False
for w in weather_description_asked:
if w in question:
is_weather_description_asked = True
for w in weather_temperature_asked:
if w in question:
is_weather_description_asked = False
t_n = len(time_iso)
answer["time"] = time_list
date = []
if t_n == d_n:
for i in range(t_n):
date.append(datetime.datetime.combine(
date_list[i].date(), time_iso[i]))
elif d_n > t_n:
for i in range(d_n):
date.append(datetime.datetime.combine(
date_list[i].date(), time_iso[0]))
else:
for i in range(t_n):
date.append(datetime.datetime.combine(
date_list[0].date(), time_iso[i]))
ln_d = len(date)
if l_n == 1 and ln_d == 1:
result = self.getCityWeather(location[0], date[0])
if not result.empty:
if is_weather_description_asked:
res = tr_weather_description[result["main"]]
answer["result"] = res
n_generated_sentence = "هوای {} {} {}، {} است".format(
location[0], tr_single_date(date_list[0]), tr_single_time(time_iso[0]), res)
if not generated_sentence:
generated_sentence = n_generated_sentence
else:
generated_sentence = generated_sentence + "." + n_generated_sentence
else:
res = str(result["temp"])
answer["result"] = res
n_generated_sentence = "دمای هوای {} {} {}، {} درجهی سانتیگراد است".format(
location[0], tr_single_date(date_list[0]), tr_single_time(time_iso[0]), round(result["temp"]))
if generated_sentence:
generated_sentence = generated_sentence + "." + n_generated_sentence
else:
generated_sentence = n_generated_sentence
elif ln_d >= 2 and l_n == 1:
answer["result"] = []
if generated_sentence:
generated_sentence = generated_sentence + \
"." + "هوای {} ".format(location[0])
else:
generated_sentence = "هوای {} ".format(location[0])
s = 0
for dat in date:
result = self.getCityWeather(location[0], dat)
if not result.empty:
if is_weather_description_asked:
res1 = tr_weather_description[result["main"]]
answer["result"].append(res1)
n_generated_sentence = "{} {}، {} ،است".format(tr_single_date(
dat.date()), tr_single_time(dat.time()), res1)
else:
res1 = str(result["temp"])
answer["result"].append(res1)
n_generated_sentence = "{} {}، {} ،درجهی سانتیگراد است".format(tr_single_date(
dat.date()), tr_single_time(dat.time()), round(float(res1)))
if s == 0:
generated_sentence = generated_sentence + " " + n_generated_sentence
else:
generated_sentence = generated_sentence + " و " + n_generated_sentence
s += 1
elif l_n == ln_d:
answer["result"] = []
for lc, dat in zip(location, date):
result = self.getCityWeather(lc, dat)
if not result.empty:
if is_weather_description_asked:
res1 = tr_weather_description[result["main"]]
answer["result"].append(res1)
n_generated_sentence = "هوای {} {} {}، {} است".format(
lc, tr_single_date(dat), tr_single_time(dat.time()), res1)
else:
res1 = str(result["temp"])
answer["result"].append(res1)
n_generated_sentence = "دمای هوای {} {} {}، {} درجهی سانتیگراد است".format(
lc, tr_single_date(dat), tr_single_time(dat.time()), round(float(res1)))
if generated_sentence:
generated_sentence = generated_sentence + " و " + n_generated_sentence
else:
generated_sentence = n_generated_sentence
elif l_n >= 2 and ln_d == 1:
answer["result"] = []
n_generated_sentence = "{} {} هوای".format(
tr_single_date(date[0]), tr_single_time(date[0].time()))
if generated_sentence:
generated_sentence = generated_sentence + "." + n_generated_sentence
else:
generated_sentence = n_generated_sentence
s = 0
for lc in location:
result = self.getCityWeather(lc, date[0])
if not result.empty:
if is_weather_description_asked:
res1 = tr_weather_description[result["main"]]
answer["result"].append(res1)
n_generated_sentence = "{} {} است".format(lc, res1)
else:
res1 = str(result["temp"])
answer["result"].append(res1)
n_generated_sentence = "{} {} درجهی سانتیگراد است".format(
lc, res1)
if s == 0:
generated_sentence = generated_sentence + " " + n_generated_sentence
else:
generated_sentence = generated_sentence + " و " + n_generated_sentence
s += 1
else:
answer["result"] = []
n_generated_sentence = "{} {} هوای".format(
tr_single_date(date[0]), tr_single_time(date[0].time()))
if generated_sentence:
generated_sentence = generated_sentence + "." + n_generated_sentence
else:
generated_sentence = n_generated_sentence
s = 0
for lc in location:
result = self.getCityWeather(lc, date[0])
if not result.empty:
if is_weather_description_asked:
res1 = tr_weather_description[result["main"]]
answer["result"].append(res1)
n_generated_sentence = "{} {} است".format(lc, res1)
else:
res1 = str(result["temp"])
answer["result"].append(res1)
n_generated_sentence = "{} {} درجهی سانتیگراد است".format(
lc, round(float(res1)))
if s == 0:
generated_sentence = generated_sentence + " " + n_generated_sentence
else:
generated_sentence = generated_sentence + " و " + n_generated_sentence
s += 1
if not isinstance(answer["result"], list):
answer["result"] = [answer["result"]]
return answer, generated_sentence
@ staticmethod
def get_city_info(cityName):
openweatherapi_5dayforecast_url = "http://api.openweathermap.org/data/2.5/forecast?q={}&APPID=APITOKEN&units=metric&lang=fa&cnt=1"
eng_openweatherapi = "http://api.openweathermap.org/data/2.5/forecast?q={}&APPID=APITOKEN&units=metric&cnt=1"
try:
data = requests.get(
openweatherapi_5dayforecast_url.format(cityName)).json()
except:
return None
if data["cod"] == "200":
return data["city"]
else:
cityname_eng = translator("fa", "en", cityName)[0][0][0]
try:
data = requests.get(
eng_openweatherapi.format(cityname_eng)).json()
if data["cod"] == "200":
return data["city"]
else:
return None
except Exception:
return None
@ staticmethod
def check_logical(tokens):
logicals = []
for k, v in weather_logical.items():
if k in tokens:
logicals.append([k, v])
return logicals
def logical_handler(self, question, tokens, labels, logicals, time_iso, date_list, location):
if len(logicals) == 1 or np.unique(np.array(logicals)[:, 1]).size == 1:
if logicals[0][1] == "amin" or logicals[0][1] == "amin_abs":
result, generated_sentence = self.min_max_handler(question, tokens, labels,
np.argmin, time_iso, date_list, location)
return result, generated_sentence
if logicals[0][1] == "amax" or logicals[0][1] == "amax_abs":
result, generated_sentence = self.min_max_handler(question, tokens, labels,
np.argmax, time_iso, date_list, location)
return result, generated_sentence
if logicals[0][1] == "mean":
return self.mean_handler(question, tokens, labels, np.mean, time_iso, date_list, location)
if logicals[0][1] == "diff":
return self.difference_handler(question, tokens, labels, time_iso, date_list, location)
else:
pos = []
for logc in logicals:
pos.append(question.find(logc[0]))
sorted_logicals = []
for p in np.argsort(pos):
sorted_logicals.append(logicals[p])
logicals = sorted_logicals
mean_abs = []
amax_amin_diff = []
logics = []
for lg in logicals:
logics.append(lg[1])
if lg[1] == "amax" or lg[1] == "amin" or lg[1] == "diff":
amax_amin_diff.append(lg[1])
elif lg[1] == "mean" or lg[1] == "amax_abs" or lg[1] == "amin_abs":
mean_abs.append(lg[1])
if len(amax_amin_diff) == 0 and len(mean_abs) >= 2:
return self.mean_abs_q(question, tokens, labels, mean_abs, time_iso, date_list, location)
else:
return self.m1d1(question, tokens, labels, mean_abs, amax_amin_diff, time_iso, date_list, location)
def m1d1(self, question, tokens, labels, mean_abs_list, diff_max_min, time_iso, date_list, location):
generated_sentence = ""
func_dict = {"amin_abs": np.argmin,
"amax_abs": np.argmax, "mean": np.mean, "amax": np.argmax, "amin": np.argmin, "diff": np.diff}
wfunc_dict = {"amin_abs": self.min_max_handler,
"amax_abs": self.min_max_handler, "mean": self.mean_handler}
t = len(time_iso)
d = len(date_list)
l = len(location)
result = []
res = []
ta = False
for ita in temp_asked:
if ita in question:
ta = True
if len(mean_abs_list) == 1 or np.unique(mean_abs_list).size == 1:
func = wfunc_dict[mean_abs_list[0]]
if mean_abs_list[0] == "amin_abs":
mabs_str = "کمینه"
elif mean_abs_list[0] == "amax_abs":
mabs_str = "بیشینه"
else:
mabs_str = "میانگین"
if (t == 0 or t == 1) and d >= 2 and l == 1:
for dat in date_list:
r, _ = func(question, tokens, labels, func_dict[mean_abs_list[0]], time_iso, [
dat], location, True)
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دمای {}، {}، {} درجه سانتیگراد است".format(
mabs_str, location[0], " و ".join(tr_date(date_list, tokens, labels)), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {} بین {}، {} درجه سانتیگراد است".format(
dmn_str, mabs_str, location[0], " و ".join(tr_date(date_list, tokens, labels)), result)
else:
result_g = date_list[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
result = gregorian_to_jalali(
result_g.year, result_g.month, result_g.day)
result = format_jalali_date(result)
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {}، بین {}، روز {} است".format(
dmn_str, mabs_str, location[0], " و ".join(tr_date(date_list, tokens, labels)), tr_single_date(result_g, True))
elif (t == 0 or t == 1) and d == 1 and l >= 2:
for lc in location:
r, _ = func(
question, tokens, labels, func_dict[mean_abs_list[0]], time_iso, date_list, [lc], True)
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دمای {}، {}، {} درجه سانتیگراد است".format(
mabs_str, " و ".join(location), tr_single_date(date_list[0]), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {}، {}، {} درجه سانتیگراد است".format(dmn_str,
mabs_str, " و ".join(location), tr_single_date(date_list[0]), " و ".join(result))
else:
result = location[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {}، بین {}، {} است".format(
dmn_str, mabs_str, tr_single_date(date_list[0]), " و ".join(location), result)
elif t >= 2 and l == 1 and d == 1:
for tim in time_iso:
r, _ = func(question, func_dict[mean_abs_list[0]], [
tim], date_list, location, True)
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دمای {}، {} {}، {} درجه سانتیگراد است".format(
mabs_str, location[0], tr_single_date(date_list[0]), " و ".join(tr_time(time_iso, tokens, labels)), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {}، {} {}، {} درجه سانتیگراد است".format(dmn_str,
mabs_str, location[0], tr_single_date(date_list[0]), " و ".join(tr_time(time_iso, tokens, labels)), result)
else:
result_g = time_iso[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
result = result_g.strftime("%H:%M")
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {}، {}، بین {}، در زمان {} است".format(dmn_str, mabs_str, location[0], tr_single_date(
date_list[0]), " و ".join(tr_time(time_iso, tokens, labels)), tr_single_time(result_g))
###
elif (t == d) and l == 1:
res_str = []
for dat, tim in zip(date_list, time_iso):
r, _ = func(question, func_dict[mean_abs_list[0]], [
tim], [dat], location, True)
res.append(r)
res_str.append("{} {}".format(
tr_single_date(dat), tr_single_time(tim)))
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دمای هوای {} بین {}، {} درجه سانتیگراد است".format(
mabs_str, location[0], " و ".join(res_str), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای هوای {} بین {}، {} درجه سانتیگراد است".format(dmn_str,
mabs_str, location[0], " و ".join(res_str), " و ".join(result))
else:
result_g = date_list[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
result = gregorian_to_jalali(
result_g.year, result_g.month, result_g.day)
result = format_jalali_date(result)
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای هوا در {} بین {}، {} است".format(
dmn_str, mabs_str, location[0], " و ".join(res_str), tr_single_date(result_g))
elif (t == 0 or t == 1) and d == l:
res_str = []
for lc, dat in zip(location, date_list):
r, _ = func(question, tokens, labels, func_dict[mean_abs_list[0]], time_iso, [
dat], [lc], True)
res_str.append("{} {}".format(tr_single_date(dat), lc))
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دما بین {}، {} درجه سانتیگراد است".format(
mabs_str, " و ".join(res_str), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای بین {}، {} درجه سانتیگراد است".format(
dmn_str, mabs_str, " و ".join(res_str), result)
else:
result = location[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دما بین {}، {} دارا میباشد".format(
dmn_str, mabs_str, " و ".join(res_str), result)
else:
lg = len(mean_abs_list)
mabs_str = []
if l == 1 and d == 1 and (t == 0 or t == 1):
for mabs in mean_abs_list:
r, _ = wfunc_dict[mabs](
question, tokens, labels, func_dict[mabs], time_iso, date_list, location, True)
if mabs == "amin_abs":
mabs_str.append("حداقل")
elif mabs == "amax_abs":
mabs_str.append("حداکثر")
else:
mabs_str.append("میانگین")
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف {} دمای {} {}، {} درجه سانتیگراد است".format(
" و ".join(mabs_str), location[0], tr_single_date(date_list[0]), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} {} دمای {} {}، {} درجه سانتیگراد است".format(dmn_str,
" و ".join(mabs_str), location[0], tr_single_date(date_list[0]), result)
elif lg == d and l == 1 and (t == 0 or t == 1):
mabs_dat_str = []
for mabs, dat in zip(mean_abs_list, date_list):
r, _ = wfunc_dict[mabs](question, tokens, labels, func_dict[mabs], time_iso, [
dat], location, True)
d_str = tr_single_date(dat)
if mabs == "amin_abs":
mabs_dat_str.append("حداقل دمای {}".format(d_str))
elif mabs == "amax_abs":
mabs_dat_str.append("حداکثر دمای {}".format(d_str))
else:
mabs_dat_str.append("میانگین دمای {}".format(d_str))
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف دمای {} {}، {} درجه سانتیگراد است".format(
" و ".join(mabs_dat_str), location[0], " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "حداقل"
else:
dmn_str = "حداکثر"
generated_sentence = "اختلاف دمای {} {}، {} درجه سانتیگراد است".format(
" و ".join(mabs_dat_str), location[0], result)
else:
result_g = date_list[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
result = gregorian_to_jalali(
result_g.year, result_g.month, result_g.day)
result = format_jalali_date(result)
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} دما بین {}، {} روز {} است".format(
dmn_str, " و ".join(mabs_dat_str), location[0], tr_single_date(result_g))
elif lg == l and d == 1 and (t == 0 or t == 1):
mabs_lc_str = []
for mabs, lc in zip(mean_abs_list, location):
r, _ = wfunc_dict[mabs](
question, tokens, labels, func_dict[mabs], time_iso, date_list, [lc], True)
res.append(r)
if mabs == "amin_abs":
mabs_lc_str.append("حداقل دمای {}".format(lc))
elif mabs == "amax_abs":
mabs_lc_str.append("حداکثر دمای {}".format(lc))
else:
mabs_lc_str.append("میانگین دمای {}".format(lc))
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف دمای {}، {}، {} درجه سانتیگراد است".format(
" و ".join(mabs_lc_str), tr_single_date(date_list[0]), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min == "amin":
dmn_str = "حداقل"
else:
dmn_str = "حداکثر"
generated_sentence = "{} دمای {}، {}، {} درجه سانتیگراد است".format(dmn_str,
" و ".join(mabs_lc_str), tr_single_date(date_list[0]), " و ".join(result))
else:
result = location[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} دما {} بین {} را {} دارد".format(
dmn_str, tr_single_date(date_list[0]), " و ".join(mabs_lc_str), result)
elif lg == t and d == 1 and l == 1:
mabs_str = []
for mabs, tim in zip(mean_abs_list, time_iso):
r, _ = wfunc_dict[mabs](question, tokens, labels, func_dict[mabs], [
tim], date_list, location, True)
if mabs == "amin_abs":
mabs_str.append("حداقل دمای")
elif mabs == "amax_bas":
mabs_str.append("حداکثر دمای")
else:
mabs_str.append("میانگین")
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف دمای {}، {}، بین {} {}، {} درجه سانتیگراد میباشد".format(
" و ".join(mabs_str), location[0], " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min == "amin":
dmn_str = "حداقل"
else:
dmn_str = "حداکثر"
generated_sentence = "{} دمای {}، {}، بین {} {}، {} درجه سانتیگراد میباشد".format(dmn_str,
" و ".join(mabs_str), location[0], " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), result)
else:
result_g = time_iso[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
result = result_g.strftime("%H:%M")
if diff_max_min == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "دمای {} {} {} {}، در زمان {} میباشد {}".format(dmn_str, " و ".join(
mabs_str), location[0], tr_single_date(date_list[0]), " و ".join(tr_time(time_iso, tokens, labels)), tr_single_time(result_g))
elif (lg == l) and (l == d) and (t == 0 or t == 1):
unk_list = []
for i in range(l):
r, _ = wfunc_dict[mean_abs_list[i]](
question, tokens, labels, func_dict[mean_abs_list[i]], time_iso, date_list[i], location[i], True)
res.append(r)
if mean_abs_list[i] == "amax_abs":
unk_list.append("حداکثر دمای {} {}".format(
tr_single_date(date_list[i])), location[i])
elif mean_abs_list[i] == "amin_abs":
unk_list.append("حداقل دمای {} {}".format(
tr_single_date(date_list[i])), location[i])
else:
unk_list.append("میانگین دمای {} {}".format(
tr_single_date(date_list[i])), location[i])
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = 'اختلاف دمای {}، {} درجه سانتیگراد میباشد'.format(
" و ".join(unk_list), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = '{} دمای {}، {} درجه سانتیگراد میباشد'.format(dmn_str,
" و ".join(unk_list), result)
else:
result = location[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} شهر بین {}، {} میباشد".format(
dmn_str, " و ".join(unk_list), result)
elif (lg == l) and (l == t) and (d == 1):
unk_list = []
for i in range(l):
if mean_abs_list[i] == "amax_abs":
unk_list.append("حداکثر دمای {}".format(location[i]))
elif mean_abs_list[i] == "amin_abs":
unk_list.append("حداقل دمای {}".format(location[i]))
else:
unk_list.append("میانگین دمای {}".format(location[i]))
r, _ = wfunc_dict[mean_abs_list[i]](
question, tokens, labels, func_dict[mean_abs_list[i]], time_iso[i], date_list, location[i], True)
res.append(r)
if ta or diff_max_min[0] == "diff":
if diff_max_min[0] == "diff":
result = np.diff(
np.array(res, dtype="d"))
result = ["%4.2f" % r for r in result]
generated_sentence = "اختلاف دمای {}، {}، {}، {} درجه سانتیگراد است".format(" و ".join(
unk_list), " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), " و ".join(result))
else:
result = res[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "حداقل"
else:
dmn_str = "حداکثر"
generated_sentence = "{} دمای {}، {}، {}، {} درجه سانتیگراد است".format(dmn_str, " و ".join(
unk_list), " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), result)
else:
result = location[func_dict[diff_max_min[0]](
np.array(res, dtype="d"))]
if diff_max_min[0] == "amin":
dmn_str = "سردترین"
else:
dmn_str = "گرمترین"
generated_sentence = "{} بین {}، {}، {}، {} میباشد".format(dmn_str, " و ".join(
unk_list), " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), result)
return result, generated_sentence
def mean_abs_q(self, question, tokens, labels, mean_abs_list, time_iso, date_list, location):
func_dict = {"amin_abs": np.argmin,
"amax_abs": np.argmax, "mean": np.mean}
t = len(time_iso)
d = len(date_list)
l = len(location)
if len(mean_abs_list) == 2:
if mean_abs_list[1] == "amin_abs" or mean_abs_list[1] == "amax_abs":
func = self.min_max_handler
if mean_abs_list == "amin_abs":
g_word2 = "حداقل"
else:
g_word2 = "حداکثر"
else:
func = self.mean_handler
g_word2 = "میانگین"
res = []
ta = False
for ita in temp_asked:
if ita in question:
ta = True
if (t == 0 or t == 1) and d >= 2 and l == 1:
for dat in date_list:
r, _ = func(question, tokens, labels, func_dict[mean_abs_list[1]], time_iso, [
dat], location, True)
res.append(r)
if ta or mean_abs_list[0] == "mean":
if mean_abs_list[0] == "mean":
result = "%4.2f" % func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))
generated_sentence = "میانگین {} دماهای {} {}، {} درجه سانتیگراد است".format(
g_word2, location[0], " و ".join(tr_date(date_list, tokens, labels)), result)
else:
result = res[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
if mean_abs_list[0] == "amax_abs":
g_word1 = "حداکثر"
else:
g_word1 = "حداقل"
generated_sentence = "{} {} دماهای {} {}، {} درجه سانتیگراد است".format(g_word1,
g_word2, location[0], " و ".join(tr_date(date_list, tokens, labels)), result)
else:
if mean_abs_list[0] == "amax_abs":
g_word1 = "گرمترین"
else:
g_word1 = "سردترین"
result_g = date_list[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
result = gregorian_to_jalali(
result_g.year, result_g.month, result_g.day)
result = format_jalali_date(result)
generated_sentence = "{} {} {} {}، {} در روز {} است".format(g_word1,
g_word2, location[0], " و ".join(tr_date(date_list, tokens, labels)), tr_single_date(result_g))
elif (t == 0 or t == 1) and d == 1 and l >= 2:
for lc in location:
r, _ = func(
question, tokens, labels, func_dict[mean_abs_list[1]], time_iso, date_list, [lc], True)
res.append(r)
if ta or mean_abs_list[0] == "mean":
if mean_abs_list[0] == "mean":
result = "%4.2f" % func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))
generated_sentence = "میانگین {} دماهای {} {}، {} درجه سانتیگراد است".format(
g_word2, tr_single_date(date_list[0]), " و ".join(location), result)
else:
result = res[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
if mean_abs_list[0] == "amax_abs":
g_word1 = "حداکثر"
else:
g_word1 = "حداقل"
generated_sentence = "{} {} دماهای {} {}، {} درجه سانتیگراد است".format(g_word1,
g_word2, tr_single_date(date_list[0]), " و ".join(location), result)
else:
result = location[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
if mean_abs_list[0] == "amax_abs":
g_word1 = "گرمترین"
else:
g_word1 = "سردترین"
generated_sentence = "{} {} دما {} بین {} شهر {} است".format(g_word1,
g_word2, tr_single_date(date_list[0]), " و ".join(location), result)
elif t >= 2 and l == 1 and d == 1:
for tim in time_iso:
r, _ = func(question, tokens, labels, func_dict[mean_abs_list[1]], [
tim], date_list, location, True)
res.append(r)
if ta or mean_abs_list[0] == "mean":
if mean_abs_list[0] == "mean":
result = "%4.2f" % func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))
generated_sentence = "میانگین {} دمای {} {} {}، {} درجه سانتیگراد است".format(
g_word2, location[0], " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), result)
else:
if mean_abs_list[0] == "amax_abs":
g_word1 = "حداکثر"
else:
g_word1 = "حداقل"
result = res[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
generated_sentence = "{} {} دمای {} {} {}، {} درجه سانتیگراد است".format(
g_word1, g_word2, location[0], " و ".join(tr_time(time_iso, tokens, labels)), tr_single_date(date_list[0]), result)
else:
result_g = time_iso[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
result = result_g.strftime("%H:%M")
if mean_abs_list[0] == "amax_abs":
g_word1 = "گرمترین"
else:
g_word1 = "سردترین"
generated_sentence = "{} {} بین {} در {} {}، {} است".format(g_word1, g_word2, " و ".join(
tr_time(time_iso, tokens, labels)), location[0], tr_single_date(date_list[0]), tr_single_time(result_g))
elif (t == 0 or t == 1) and d == l:
for dat, lc in zip(date_list, location):
r, _ = func(question, tokens, labels, func_dict[mean_abs_list[1]], time_iso, [
dat], [lc], True)
res.append(r)
if ta or mean_abs_list[0] == "mean":
if mean_abs_list[0] == "mean":
result = "%4.2f" % func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))
generated_sentence = "میانگین {} دمای شهرهای {} {}، {} درجه سانتیگراد است".format(
g_word2, " و ".join(location), " و ".join(tr_date(date_list, tokens, labels)), result)
else:
result = res[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
if mean_abs_list[0] == "amax_abs":
g_word1 = "حداقل"
else:
g_word1 = "حداکثر"
generated_sentence = "{} {} دمای هوای شهرهای {} {}، {} درجه سانتیگراد است".format(
g_word1, g_word2, " و ".join(location), " و ".join(tr_date(date_list, tokens, labels)), result)
else:
result = location[func_dict[mean_abs_list[0]](
np.array(res, dtype="d"))]
if mean_abs_list[0] == "amax_abs":