# complex datasets and how to work with them

day1 = [13.4, 16.5, 15.2, 18.6]
day2 = [11.7, 15.3, 11.7, 13.4]
day3 = [12.9, 16.2, 14.2, 15.5]

# list of lists
# measurement days in a list
temperatures = [day1, day2, day3]

# loop through each day in the list
for day in temperatures:
    print("New day!")

    # loop through each temperature in one day at a time
    for temp in day:
        print(temp)

    print()

# NEW FILE

# this is a possible scenario, each product is separated
# into another list based no their category
movies = ["Amadeus", "Jurassic Park", "Lord of the Rings"]
books = ["Da Vinci Code", "Robinson Crusoe", "Python for Beginners"]

# list of lists
products = [movies, books]

# loop through each category-list
for category in products:

    # loop through each product in one category
    for item in category:
        print(item)

# NEW FILE

# dictionary inside another dictionary
book = {
    "name":  "My Lady Jane",
    "year":  2016,
    "publisher": {
        "name": "HarperTeen",
        "organization": "HarperCollins Publishers",
        "location": "New York"
    }
}

print(book['name'])
print(book['year'])

# the straightforward way with string variable
print(book['publisher']['location'])

# if it's easier to use, this is also okay
publisher = book['publisher']
location = publisher['location']
print(location)

# NEW FILE

# the most typical combination you get from the internet data,
# a list of dictionaries

products = [
    {"name": "Coffee maker", "price": 79},
    {"name": "Dishwasher", "price": 299},
    {"name": "Freezer", "price": 199}
]

# go through each product one at a time
for item in products:
    # print(item['name'])
    # print(item['price'])

    print(f"{item['name']}, {item['price']} €")

# NEW FILE

# example 1

# remember to install var_dump first in your PyCharm-project
import var_dump as vd

# create first hotel
hotel_1 = {
    "name": "Snow Line Hotels",
    "rating": 4.3,
    "wifi": True,
    "free_breakfast": True,
    "services": ["sauna", "meetings", "restaurant", "parking", "safaris"],
    "price_level": 4
}

# create second hotel
hotel_2 = {
    "name": "North Ice Hostel",
    "rating": 3.5,
    "wifi": True,
    "free_breakfast": False,
    "services": ["sauna", "parking"],
    "price_level": 2
}

# place both hotels into one list
hotels = [hotel_1, hotel_2]

first_hotel = hotels[0]

# vd.var_dump(first_hotel)

# this is used by the loop to filter out
# suitable hotels (that have a sauna)
sauna_hotels = []

# loop through each hotel in the list (we have now 2 hotels,
# we could have hundreds if this originated from the internet)
for hotel in hotels:
    print(hotel['name'])
    print("Available services:")

    # this is the traditional way to go through a list of text
    # for service in hotel['services']:
    #     print(service)

    # with list of text, you can do this also:
    services = "\n".join(hotel['services'])
    # print(services)

    # print this extra info if hotel has a sauna
    if "sauna" in services:
        print("This hotel has a sauna.")
        sauna_hotels.append(hotel['name'])

    print()

# just check quickly what is inside our filtered list
print(sauna_hotels)

# NEW FILE, DATA FROM INTERNET

import urllib.request
import json

# this module needs to be installed separately
# in PyCharm you can install the package if its not found!
import var_dump as vd

# get internet data
url = 'https://edu.frostbit.fi/api/events/en'
req = urllib.request.Request(url)
raw_data = urllib.request.urlopen(req).read().decode("UTF-8")

# all events are now in data-variable!
data = json.loads(raw_data)

# ask the user for a search word, let's make a small event search engine
search_word = input("What events are you looking for?\n")

# loop through all event data what happens to be in the internet today
for event in data:
    address_text = event['address']['street_address']
    postal_code = event['address']['postal_code']

    # category list into a string
    categories = ", ".join(event['categories'])

    # using continue here is neat
    # if the search word is not found in the categories
    # => skip the whole event with continue-command
    if search_word not in categories:
        continue

    # print all event text
    print(event['name'])
    print(f"Address: {address_text} {postal_code}")
    print(categories)

    print()

# NEW FILE

import json
import urllib.request
import var_dump as vd

url = "https://edu.frostbit.fi/api/weather/"
req = urllib.request.Request(url)
raw_data = urllib.request.urlopen(req).read().decode("UTF-8")
weather = json.loads(raw_data)

# modify these as needed in the loop (if-statements and so)
strongest_wind = 0
weakest_wind = 0
strongest_wind_city = ""
weakest_wind_city = ""

# go through each city and their weather conditions
for city in weather:
    print(city['location'])
    print(city['wind'])
    print()