"""
Requests is a HTTP library for the Python programming language. 
The goal of the project is to make HTTP requests simpler and more human-friendly. 
"""
import requests

"""
RapidAPI is the world's largest API Marketplace. 
Developers use Rapid API to discover and connect to thousands of APIs. 
"""
url = "https://corona-virus-world-and-india-data.p.rapidapi.com/api"
headers = {
    'x-rapidapi-key': "dec069b877msh0d9d0827664078cp1a18fajsn2afac35ae063",
    'x-rapidapi-host': "corona-virus-world-and-india-data.p.rapidapi.com"
}

# Request Covid Data
response = requests.request("GET", url, headers=headers)
# print(response.text)  # uncomment this line to see raw data

# This code looks for "world data"
print("World Totals")
world = response.json().get('world_total')  # turn response to json() so we can extract "world_total"
for key, value in world.items():  # this finds key, value pairs in country
    print(key, value)

print()

# This code looks for USA in "countries_stats"
print("Country Totals")
countries = response.json().get('countries_stat')
for country in countries:  # countries is a list
    if country["country_name"] == "USA":  # this filters for USA
        for key, value in country.items():  # this finds key, value pairs in country
            print(key, value)

# RapidAPI page https://rapidapi.com/Coinranking/api/coinranking1/

# Begin Rapid API Code
import requests

url = "https://coinranking1.p.rapidapi.com/coins"
querystring = {"referenceCurrencyUuid":"yhjMzLPhuIDl","timePeriod":"24h","tiers[0]":"1","orderBy":"marketCap","orderDirection":"desc","limit":"50","offset":"0"}
headers = {
	"X-RapidAPI-Key": "jcmbea0fa2ff5msh7f14bf69be38ca6p175482jsn6c4988114560",  # place your key here
	"X-RapidAPI-Host": "coinranking1.p.rapidapi.com"
}

response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)
# End Rapid API Code
json = response.json()  # convert response to python json object

# Observe data from an API.  This is how data transports over the internet in a "JSON" text form
# - The JSON "text" is formed in dictionary {} and list [] divisions
# - To read the result, Data Scientist of  Developer converts JSON into human readable form
# - Review the first line, look for the keys --  "status" and "data"

"""
This cell is dependent on valid run of API above.
- try and except code is making sure "json" was properly run above
- inside second try is code that is used to process Coin API data

Note.  Run this cell repeatedly to format data without re-activating API
"""

try:
    print("JSON data is Python type: " + str(type(json)))
    try:
        # Extracting Coins JSON status, if the API worked
        status = json.get('status')
        print("API status: " + status)
        print()
        
        # Extracting Coins JSON data, data about the coins
        data = json.get('data')
        
        # Procedural abstraction of Print code for coins
        def print_coin(c):
            print(c["symbol"], c["price"])
            print("Icon Url: " + c["iconUrl"])
            print("Rank Url: " + c["coinrankingUrl"])

        # Coins data was observed to be a list
        for coin in data['coins']:
            print_coin(coin)
            print()
            
    except:
        print("Did you insert a valid key in X-RapidAPI-Key of API cell above?")
        print(json)
except:
    print("This cell is dependent on running API call in cell above!")