from tiingo import TiingoClient
# Set TIINGO_API_KEY in your environment variables in your .bash_profile, OR
# pass a dictionary with 'api_key' as a key into the TiingoClient.

client = TiingoClient()

config = {}

# To reuse the same HTTP Session across API calls (and have better performance), include a session key.
config['session'] = True

# If you don't have your API key as an environment variable,
# pass it in via a configuration dictionary.
config['api_key'] = "MY_SECRET_API_KEY"

# Initialize
client = TiingoClient(config)

# Get Ticker
ticker_metadata = client.get_ticker_metadata("GOOGL")

# Get latest prices, based on 3+ sources as JSON, sampled weekly
ticker_price = client.get_ticker_price("GOOGL", frequency="weekly")

# Get historical GOOGL prices from August 2017 as JSON, sampled daily
historical_prices = client.get_ticker_price("GOOGL",
                                            fmt='json',
                                            startDate='2017-08-01',
                                            endDate='2017-08-31',
                                            frequency='daily')

# Check what tickers are available, as well as metadata about each ticker
# including supported currency, exchange, and available start/end dates.
tickers = client.list_stock_tickers()

# Get news articles about given tickers or search terms from given domains
articles = client.get_news(tickers=['GOOGL', 'AAPL'],
                            tags=['Laptops'],
                            sources=['washingtonpost.com'],
                            startDate='2017-01-01',
                            endDate='2017-08-31')

# Get definitions for fields available in the fundamentals-api, ticker is
# optional
definitions = client.get_fundamentals_definitions('GOOGL')

# Get fundamentals which require daily-updated (like marketCap). A start-
# and end-date can be passed. If omited, will get all available data.
fundamentals_daily = client.get_fundamentals_daily('GOOGL',
                                        startDate='2020-01-01',
                                        endDate='2020-12-31')

# Get fundamentals based on quarterly statements. Accepts time-range like
# daily-fundamentals. asReported can be set to get the data exactly like
# it was reported to SEC. Set to False if you want to get data containing
# corrections
fundamentals_stmnts = client.get_fundamentals_statements('GOOGL',
                                                         startDate='2020-01-01',
                                                         endDate='2020-12-31',
                                                         asReported=True)

#Get a pd.DataFrame of the price history of a single symbol (default is daily):
ticker_history = client.get_dataframe("GOOGL")

#The method returns all of the available information on a symbol, such as open, high, low, close,
#adjusted close, etc.  This page in the tiingo api documentation lists the available information on each
#symbol: https://api.tiingo.com/docs/tiingo/daily#priceData.

#Frequencies and start and end dates can be specified similarly to the json method above.

#Get a pd.Series of only one column of the available response data by specifying one of the valid the
#'metric_name' parameters:
ticker_history = client.get_dataframe("GOOGL", metric_name='adjClose')

#Get a pd.DataFrame for a list of symbols for a specified metric_name (default is adjClose if no
#metric_name is specified):
ticker_history = client.get_dataframe(['GOOGL', 'AAPL'],
                                      frequency='weekly',
                                      metric_name='volume',
                                      startDate='2017-01-01',
                                      endDate='2018-05-31')

# You can obtain cryptocurrency metadata using the following method.
# NOTE: Crypto symbol MUST be encapsulated in brackets as a Python list!

client.get_crypto_metadata(['BTCUSD'], fmt='json')

#You can obtain top-of-book cryptocurrency quotes from the ``get_crypto_top_of_book()`` method.
# NOTE: Crypto symbol MUST be encapsulated in brackets as a Python list!

crypto_price = client.get_crypto_top_of_book(['BTCUSD'])``

# You can obtain historical Cryptocurrency price quotes from the get_crypto_price_history() method.
# NOTE: Crypto symbol MUST be encapsulated in brackets as a Python list!

client.get_crypto_price_history(tickers = ['BTCUSD'], startDate='2020-12-2',
                                endDate='2020-12-3', resampleFreq='1Hour')

from tiingo import TiingoWebsocketClient

def cb_fn(msg):

    # Example response
    # msg = {
    #   "service":"iex" # An identifier telling you this is IEX data.
    #   The value returned by this will correspond to the endpoint argument.
    #
    #   # Will always return "A" meaning new price quotes. There are also H type Heartbeat msgs used to keep the connection alive
    #   "messageType":"A" # A value telling you what kind of data packet this is from our IEX feed.
    #
    #   # see https://api.tiingo.com/documentation/websockets/iex > Response for more info
    #   "data":[] # an array containing trade information and a timestamp
    #
    # }

    print(msg)

subscribe = {
        'eventName':'subscribe',
        'authorization':'API_KEY_GOES_HERE',
        #see https://api.tiingo.com/documentation/websockets/iex > Request for more info
        'eventData': {
            'thresholdLevel':5
      }
}

# any logic should be implemented in the callback function (cb_fn)
TiingoWebsocketClient(subscribe,endpoint="iex",on_msg_cb=cb_fn)