Created
March 20, 2022 21:55
-
-
Save peacing/1b82dde14943b6500ccbaa4ce3e8b6ea to your computer and use it in GitHub Desktop.
saving crypto data
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import requests | |
from datetime import datetime | |
import pandas as pd | |
import awswrangler as wr | |
import boto3 | |
session = boto3.session.Session(aws_access_key_id=key_access_aws, aws_secret_access_key=key_secret_aws) | |
s3 = session.client('s3') | |
def get_data_from_api(): | |
""" | |
Get data from API and transform it to DataFrame | |
""" | |
api_url = "https://min-api.cryptocompare.com/data/pricemulti?fsyms=BTC,ETH,REP,DASH&tsyms=USD" | |
r = requests.get(api_url).json() | |
now = datetime.now() | |
dtime = now.strftime('%Y-%m-%d %H:%M:%S') | |
date_key = now.strftime('%Y%m%d') | |
month_key = now.strftime('%Y%m') | |
datas = [] | |
for rec in r: | |
currency = rec | |
price = r[currency]['USD'] | |
print(rec, price, now) | |
record = {'currency': currency, 'price': price, 'datetime': dtime, 'date_key': date_key, 'month_key': month_key} | |
datas.append(record) | |
return datas | |
datas = get_data_from_api() | |
df = pd.DataFrame(datas) | |
wr.s3.to_parquet( | |
df=df, | |
boto3_session=session, | |
path=f"s3://cryptolake-data/crypto_prices/", | |
dataset=True | |
) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment