def calculate_seasonal_cost(results, end_date):
final_price = {}
seasonal_cost = {}
for market, price_dict in results.items():
seasonal_cost[market] = []
final_price[market] = []
for days in range(3):
if in_holidays.get(end_date - datetime.timedelta(2 - days)) != None:
hol = in_holidays.get(end_date - datetime.timedelta(2 - days))
seasonal_cost[market].append(0.15 * price_dict["Predicted"][days])
final_price[market].append(1.15 * price_dict["Predicted"][days])
if days == 2:
seasonal_cost[market][1] = 0.15 * price_dict["Predicted"][days-1]
final_price[market][1] = 1.15 * price_dict["Predicted"][days-1]
elif m_holidays.get(end_date - datetime.timedelta(2 - days)) != None:
hol = "MUHURAT"
seasonal_cost[market].append(0.1 * price_dict["Predicted"][days])
final_price[market].append(1.1 * price_dict["Predicted"][days])
else:
hol = "None"
final_price[market].append(price_dict["Predicted"][days])
seasonal_cost[market].append(0)
print("seasonal cost : ", seasonal_cost)
print("final price : ", final_price)
return seasonal_cost, final_price, hol
def calculate_seasonal_cost(results, end_date):
final_price = {}
seasonal_cost = {}
for market, price_dict in results.items():
if in_holidays.get(end_date) != None or in_holidays.get(
end_date - datetime.timedelta(1)) != None:
seasonal_cost[market] = 0.15 * price_dict["Predicted"]
final_price[market] = 1.15 * price_dict["Predicted"]
elif m_holidays.get(end_date) != None:
seasonal_cost[market] = 0.1 * price_dict["Predicted"]
final_price[market] = 1.1 * price_dict["Predicted"]
else:
final_price[market] = price_dict["Predicted"]
seasonal_cost[market] = 0
return seasonal_cost, final_price
def get_data_from_html():
location = request.form['loc'] #user specified loc
if (location):
geolocator = Nominatim(user_agent="app")
location = geolocator.geocode(str(location))
lat = str(location.latitude)
longi = str(location.longitude)
print(location)
else:
g = geocoder.ip('me')
latlng = g.latlng
lat = str(latlng[0])
longi = str(latlng[1])
#lat = str(13.1362)
#longi = str(78.1291)
#location = request.form['loc']
crp = request.form['crop']
amt = int(request.form['amount'])
use_case = request.form['use_case']
distances = {}
for i in market_locs_demo:
dest_long = str(market_locs_demo[i][1])
dest_lat = str(market_locs_demo[i][0])
r = requests.get(f"http://router.project-osrm.org/route/v1/car/" +
longi + "," + lat + ";" + dest_long + "," + dest_lat +
"?overview=false"
"")
routes = json.loads(r.content)
route_1 = routes.get("routes")[0]
distance = route_1["legs"][0]["distance"]
final_dist = int(distance / 1000)
distances[i] = final_dist
final_prices = {}
print('reached')
if (crp == "Beetroot"):
data_long = data_long_Beetroot
else:
data_long = data_long_Beetroot
if (use_case == "short_term"):
data = data_short
end_date = date_1 + datetime.timedelta(days=10)
elif (use_case == "long_term"):
data = data_long
end_date = date_1 + datetime.timedelta(days=60) #add cultivation time
else:
final = []
for i in data_pick["Crop"]:
#print("data_long" + "_" + str(i))
#data = dict("data_long" + "_" + str(i))
if i == "Beetroot":
data = data_long_Beetroot
else:
data = data_long_Cabbage
data['Net Profit'] = []
data["Season"] = []
for j in market_locs_demo:
if (amt < 500):
cost = 6
elif (amt < 1000):
cost = 10
else:
cost = 15
x = data['Market'].index(j)
ppq = data['Price Per Quintal'][x]
quintals = amt / 100
totcost = ppq * quintals
logcost = cost * distances[j]
final_prices[j] = int(ppq *
(amt / 100)) - int(cost * distances[j])
seasonal_cost = 0.15 * final_prices[j]
data_pick["Season"].append(seasonal_cost)
if in_holidays.get(end_date) != None:
final_prices[j] = 1.15 * final_prices[j]
data['Net Profit'].append(final_prices[j])
maxi = max(data['Net Profit'])
print("Maxi:", maxi)
#bestprice = data['Net Profit'].index(maxi)
final.append(maxi)
print(final)
#best_market = data['Market'][bestprice]
bestp = max(final)
idx = final.index(bestp)
best_crop = data_pick["Crop"][idx]
for i in final:
data_pick["Price per Quintal"].append(i)
print(bestp)
return render_template('compare.html', x=data_pick, best=best_crop)
data['Net Profit'] = []
data["Season"] = []
#print("HELLLLLO")
for j in market_locs_demo:
if (amt < 500):
cost = 6
elif (amt < 1000):
cost = 10
else:
cost = 15
x = data['Market'].index(j)
ppq = data['Price Per Quintal'][x]
quintals = amt / 100
totcost = ppq * quintals
logcost = cost * distances[j]
final_prices[j] = int(ppq * (amt / 100)) - int(cost * distances[j])
if end_date in in_holidays:
seasonal_cost = 0.15 * final_prices[j]
data["Season"].append(seasonal_cost)
final_prices[j] = 1.15 * final_prices[j]
else:
data["Season"].append(0)
data['Net Profit'].append(final_prices[j])
#data['Net Profit'] = [final_prices['RAMANAGARA'], final_prices['KOLAR'], final_prices['MYSURU']]
maxi = max(data['Net Profit'])
bestprice = data['Net Profit'].index(maxi)
best_market = data['Market'][bestprice]
return render_template('index.html', x=data, best=best_market)