Deutsch

Google Drive

22.11.23 20:13
Re: Google Drive
 
kukka местный житель
kukka
в ответ Murr 13.11.23 11:01

Кому интересно найдите ошибку в стр. 34.

Хаха курс поднялся.


import r1equests

from twilio.rest import Client

VIRTUAL_TWILIO_NUMBER = "your virtual twilio number"

VERIFIED_NUMBER = "your own phone number verified with Twilio"

STOCK_NAME = "TSL"

COMPANY_NAME = "Tesla AB"

STOCK_ENDPOINT = "https://www.alphavantage.co/query"

NEWS_ENDPOINT = "https://newsapi.org/v2/everything"

STOCK_API_KEY = "3LN3NHH16X7OZEEC"

NEWS_API_KEY = "003b4b4c3d854ffcae7b05b547b5f711"

#ABCD9999

TWILIO_SID ="SK98af4c8eccb808e422373fffa6b01dd2"

#https://www.twilio.com/try-twilio

# passwort Abm42igra84$ABCD

#https://www.twilio.com/console/ahoy

TWILIO_AUTH_TOKEN = "Lj6RW9doTtcp70zQwuYUlPvIvLAsNu1L"

#https://console.twilio.com/ie1/account/keys-credentials/ap...

## STEP 1: Use https://www.alphavantage.co/documentation/#daily

# When stock price increase/decreases by 5% between yesterday and the day before yesterday then print("Get News").

#Get yesterday's closing stock price

stock_params = {

"function": "TIME_SERIES_DAILY",

"symbol": STOCK_NAME,

"apikey": STOCK_API_KEY,

}

response = requests.get(STOCK_ENDPOINT, params=stock_params)

data = response.json()["Time Series (Daily)"]

data_list = [value for (key, value) in data.items()]

yesterday_data = data_list[0]

yesterday_closing_price = yesterday_data["4. close"]

print(yesterday_closing_price)

#Get the day before yesterday's closing stock price

day_before_yesterday_data = data_list[1]

day_before_yesterday_closing_price = day_before_yesterday_data["4. close"]

print(day_before_yesterday_closing_price)

#Find the positive difference between 1 and 2. e.g. 40 - 20 = -20, but the positive difference is 20. Hint: https://www.w3schools.com/python/ref_func_abs.asp

difference = float(yesterday_closing_price) - float(day_before_yesterday_closing_price)

up_down = None

if difference > 0:

up_down = "🔺"

else:

up_down = "🔻"

#Work out the percentage difference in price between closing price yesterday and closing price the day before yesterday.

diff_percent = round((difference / float(yesterday_closing_price)) * 100)

print(diff_percent)

## STEP 2: Instead of printing ("Get News"), actually get the first 3 news pieces for the COMPANY_NAME.

#Instead of printing ("Get News"), use the News API to get articles related to the COMPANY_NAME.

#If difference percentage is greater than 5 then print("Get News").

if abs(diff_percent) > 1:

news_params = {

"apiKey": NEWS_API_KEY,

"qInTitle": COMPANY_NAME,

}

news_response = requests.get(NEWS_ENDPOINT, params=news_params)

articles = news_response.json()["articles"]

#Use Python slice operator to create a list that contains the first 3 articles. Hint: https://stackoverflow.com/questions/509211/understanding-s...

three_articles = articles[:3]

print(three_articles)

## STEP 3: Use Twilio to send a seperate message with each article's title and description to your phone number.

#Create a new list of the first 3 article's headline and description using list comprehension.

formatted_articles = [f"{STOCK_NAME}: {up_down}{diff_percent}%\nHeadline: {article['title']}. \nBrief: {article['description']}" for article in three_articles]

print(formatted_articles)

#Send each article as a separate message via Twilio.

client = Client(TWILIO_SID, TWILIO_AUTH_TOKEN)

#TODO 8. - Send each article as a separate message via Twilio.

for article in formatted_articles:

message = client.messages.create(

body=article,

from_=VIRTUAL_TWILIO_NUMBER,

to=VERIFIED_NUMBER

)

#https://newsapi.org/docs

#https://www.alphavantage.co/

 

Перейти на