class Alphavantage::Timeseries

Attributes

output[R]

Public Class Methods

new(type: "daily", interval: nil, outputsize: "compact", symbol:, datatype: "json", file: nil, key:, verbose: false, adjusted: false) click to toggle source
# File lib/Timeseries.rb, line 5
def initialize type: "daily", interval: nil, outputsize: "compact",
  symbol:, datatype: "json", file: nil, key:, verbose: false,
  adjusted: false
  check_argument([true, false], verbose, "verbose")
  @client = return_client(key, verbose)
  if type == "intraday"
    interval ||= "1min"
    check_argument(["1min", "5min", "15min", "30min", "60min"], interval, "interval")
    check_argument([false], adjusted, "adjusted")
    interval = "&interval=#{interval}"
  else
    check_argument([nil], interval, "interval")
    interval = ""
  end
  check_argument(["compact", "full"], outputsize, "outputsize")
  check_argument(["json", "csv"], datatype, "datatype")
  check_datatype(datatype, file)

  @selected_time_series = which_series(type, "TIME_SERIES",
    adjusted: adjusted)
  url = "function=#{@selected_time_series}&symbol=#{symbol}#{interval}&outputsize=#{outputsize}"
  return @client.download(url, file) if datatype == "csv"
  @output = @client.request(url)
  metadata = @output.dig("Meta Data") || {}
  metadata.each do |k, val|
    key_sym = recreate_metadata_key(k)
    define_singleton_method(key_sym) do
      return val
    end
  end

  begin
    time_series = @output.find{|k, val| k.include?("Time Series")}[1]
  rescue StandardError => e
    raise Alphavantage::Error.new message: "No Time Series found: #{e.message}",
      data: @output
  end

  series = {}
  convert_key = {}
  time_series.values[0].keys.each do |k|
    key_sym = k.downcase.gsub(/[0-9.]/, "").lstrip.gsub(" ", "_").to_sym
    series[key_sym] = []
    convert_key[k] = key_sym
  end
  time_series.each do |time, ts_hash|
    ts_hash.each do |k, value|
      series[convert_key[k]] << [time, value]
    end
  end
  series.keys.each do |key_sym|
    define_singleton_method(key_sym) do |*args|
      args ||= []
      return return_series(series[key_sym], args[0])
    end
  end
end