rchamarthi

interface TestInterface {
    name: string,
    description: string;
}

interface MyTestInterface extends TestInterface {
    id: number;
}

const myEvent: MyTestInterface = {

rchamarthi

import axios from 'axios';

const print_response = async (url: string) => {
    console.log(`requesting url : ${url}`);
    try {
        const response = await axios.get(url, {
            validateStatus: function (status) {
                return status === 200; // default
            }
        });

rchamarthi

# With the credentials exported in the region

provider "aws" {
  region = "us-east-1"
  alias  = "us-east-1"
}

provider "aws" {    
  region = "us-west-2"
  alias  = "us-west-2"

rchamarthi

import logging

from tempfile import NamedTemporaryFile

from airflow.exceptions import AirflowException
from airflow.hooks.S3_hook import S3Hook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults

class S3CopyOperator(BaseOperator):

rchamarthi

import csv
row = 'abc,xyz'.split(',')
print(row)
with open('eggs.csv','w') as csvfile:
    spamwriter = csv.writer(csvfile, delimiter='|',
                            quotechar='"', quoting=csv.QUOTE_MINIMAL)
    spamwriter.writerow(row)

rchamarthi

#expected format by morningstar
# Symbol,Quantity,Price,Action,TradeDate,Amount,Commission
# ABT,200,49.1475,Buy,8/31/2010,9836.5,7

#current output format by Ally/Tradeking
# "Symbol","Description","Qty","Underl.Stock","CostBasis","Avg Price","Price<sup>*</sup>","Change","Change<br />%","TotalG/L","MarketValue","","",
# "AGN","Allergan Plc","10",,"$2,448.25","$244.83","$173.75","-$1.03","-0.59","-$710.75","$1,737.50","",

import csv
output_columns = "Symbol,Quantity,Price,Amount"

rchamarthi

scala> import org.apache.spark.sql.functions.{input_file_name, udf}
import org.apache.spark.sql.functions.{input_file_name, udf}

scala>   def extract_file_name(path: String): String =
     |     path.split("/").last
extract_file_name: (path: String)String

scala> spark.sqlContext.udf.register("extract_file_name", extract_file_name _);
res4: org.apache.spark.sql.expressions.UserDefinedFunction = UserDefinedFunction(<function1>,StringType,Some(List(StringType)))