yaojenkuo

get_split_date_periods <- function(split_dates) {
  n_splits <- length(split_dates)
  if (n_splits > 1) {
    split_date_periods <- list()
    iterable <- c(1, 1:n_splits)
    for (i in 1:length(iterable)) {
      if (i == 1) {
        split_date_periods[[i]] <- sprintf("/%s", split_dates[iterable[i]] - 1)
      } else if (i == length(iterable)) {
        split_date_periods[[i]] <- sprintf("%s/", split_dates[iterable[i]])

yaojenkuo

import sys
import requests
import bs4
import lxml
import selenium

print(sys.version)
print(requests.__version__)
print(bs4.__version__)
print(lxml.__version__)

yaojenkuo

import sys
import numpy as np
import pandas as pd
import matplotlib as mpl

print(sys.version)
print(np.__version__)
print(pd.__version__)
print(mpl.__version__)

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yaojenkuo

from chalice import Chalice, BadRequestError
import json
from datetime import date, datetime
import csv
import requests
import io

app = Chalice(app_name='jhu-data-scraper')

yaojenkuo

import requests

request_url = "https://data.nba.net/10s/prod/v3/today.json"
request_headers = {
    'authority': "data.nba.net",
    'method': "GET",
    'path': "/10s/prod/v3/today.json",
    'scheme': "https",
    'accept': "application/json, text/plain, */*",
    'accept-encoding': "gzip, deflate, br",