blakewest

# Pseudo code for doing a big zuora export

# Pull all_account_ids from a CSV export, or potentially from ActiveZuora::Account. Only issue with the latter
# is that it might timeout if you have too many accounts.
all_account_ids.each do |account_id|
  list_of_all_soap_objects.each do |soap_object|
    # A soap_object would be something like Invoice, Payment, CreditBalanceAdjustment, etc.
    active_zuora_klass = "ActiveZuora::#{soap_object}".constantize
    active_zuora_klass.where(account_id: account_id).find_each do |zuora_object|
      # This is just a placeholder. I'm not sure what database you'd use to actually store things.

blakewest

# 1 
# Method name history was...
# nil (did both things in one method) --> generate_csv_for_revenue_lines
def generate_csv_for_revenue_lines(revenue_lines)
  # name history...
  # res -> pg_result
  pg_result = execute_sql("SELECT * FROM recognized_revenue WHERE" +
    + " revenue_line_id IN (?)", revenue_lines.pluck(:id).join(",")
  )
  pg_result.values

blakewest

class Forest::MembershipPatient
  include ForestLiana::Collection

  collection :membership_patients

  field :name, type: 'String' do |object|
    ::MembershipPatient.unscoped.find(object.id).name
  end
end

blakewest

/*
// Option 1: Procedures with visit_id

// Standard CRUD actions to /api/provider/procedures
// GET /api/provider/procedures
// POST /api/provider/procedures
// GET /api/provider/procedures/:id
// PATCH /api/provider/procedures/:id
// DELETE /api/provider/procedures/:id

blakewest

/*
// Option 2: Visits

// Standard CRUD actions to /api/provider/visits
// GET /api/provider/visits
// POST /api/provider/visits
// GET /api/provider/visits/:id
// PATCH /api/provider/visits/:id
// DELETE /api/provider/visits/:id

blakewest

FROM quay.io/aptible/java:oracle-java8

ENV JAVA_HOME /usr/lib/jvm/java-8-oracle

RUN apt-get update && apt-get -y install libc6-dev unzip curl
RUN groupadd looker && useradd -m -g looker -s /bin/bash looker

ENV SUPERCRONIC_URL=https://github.com/aptible/supercronic/releases/download/v0.1.5/supercronic-linux-amd64 \
    SUPERCRONIC=supercronic-linux-amd64 \
    SUPERCRONIC_SHA1SUM=9aeb41e00cc7b71d30d33c57a2333f2c2581a201

blakewest

import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split

def load_data(path):
  # Load the data into a Pandas dataframe.
  raw_data = pd.read_csv(path, header=0)  
  print('Loaded data from', path)
  return raw_data

blakewest

blakewest

import "./ICreditLineFactory.sol";

contract CreditDesk {
  address public creditLineFactoryAddress;

  function createCreditLine(CreditLineParams params) public {
    require(validParams(params), "invalid params!");
    
    ICreditLineFactory(creditLineFactoryAddress).createCreditLine(params);
  }

blakewest

import "./ICreditLineFactory.sol";

contract CreditDesk {
  address public creditLineFactoryAddress;
  uint256 public maxCreditLineAmount;
  address public protocolOwner;

  function createCreditLine(CreditLineParams params) public onlyOwner {
    require(validParams(params), "invalid params!");
    require(params.amount <= maxCreditLineAmount, "Amount is above maximum");