tiingo-python/tiingo/api.py

# -*- coding: utf-8 -*-

from collections import namedtuple
import csv
import json
import os
import re
import sys
import pkg_resources
from zipfile import ZipFile

import requests

from tiingo.restclient import RestClient
from tiingo.exceptions import (
    InstallPandasException,
    APIColumnNameError,
    InvalidFrequencyError,
    MissingRequiredArgumentError)

try:
    import pandas as pd
    pandas_is_installed = True
except ImportError:
    pandas_is_installed = False

VERSION = pkg_resources.get_distribution("tiingo").version


# These methods enable python 2 + 3 compatibility.
def get_zipfile_from_response(response):
    if sys.version_info < (3, 0):  # python 2
        from StringIO import StringIO as Buffer
    else:  # python 3
        from io import BytesIO as Buffer
    buffered = Buffer(response.content)
    return ZipFile(buffered)


def get_buffer_from_zipfile(zipfile, filename):
    if sys.version_info < (3, 0):  # python 2
        from StringIO import StringIO
        return StringIO(zipfile.read(filename))
    else:  # python 3
        # Source:
        # https://stackoverflow.com/questions/5627954/py3k-how-do-you-read-a-file-inside-a-zip-file-as-text-not-bytes
        from io import (TextIOWrapper, BytesIO)
        return TextIOWrapper(BytesIO(zipfile.read(filename)))


def dict_to_object(item, object_name):
    """Converts a python dict to a namedtuple, saving memory."""
    fields = item.keys()
    values = item.values()
    return json.loads(json.dumps(item),
                      object_hook=lambda d:
                      namedtuple(object_name, fields)(*values))


class TiingoClient(RestClient):
    """Class for managing interactions with the Tiingo REST API

        Supply API Key via Environment Variable TIINGO_API_KEY
        or via the Config Object
    """

    def __init__(self, *args, **kwargs):
        super(TiingoClient, self).__init__(*args, **kwargs)
        self._base_url = "https://api.tiingo.com"

        try:
            api_key = self._config['api_key']
        except KeyError:
            api_key = os.environ.get('TIINGO_API_KEY')
        self._api_key = api_key

        if not(api_key):
            raise RuntimeError("Tiingo API Key not provided. Please provide"
                               " via environment variable or config argument.")

        self._headers = {
            'Authorization': "Token {}".format(api_key),
            'Content-Type': 'application/json',
            'User-Agent': 'tiingo-python-client {}'.format(VERSION)
        }

        self._frequency_pattern = re.compile('^[0-9]+(min|hour)$', re.IGNORECASE)

    def __repr__(self):
        return '<TiingoClient(url="{}")>'.format(self._base_url)

    def _is_eod_frequency(self,frequency):
        return frequency.lower() in ['daily', 'weekly', 'monthly', 'annually']

    # TICKER PRICE ENDPOINTS
    # https://api.tiingo.com/docs/tiingo/daily
    def list_tickers(self, assetType):
        """Return a list of dicts of metadata tickers for all supported tickers
            of the specified asset type, as well as metadata about each ticker.
            This includes supported date range, the exchange the ticker is traded
            on, and the currency the stock is traded on.
           Tickers for unrelated products are omitted.
           https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip
           """
        listing_file_url = "https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip"
        response = requests.get(listing_file_url)
        zipdata = get_zipfile_from_response(response)
        raw_csv = get_buffer_from_zipfile(zipdata, 'supported_tickers.csv')
        reader = csv.DictReader(raw_csv)

        return [row for row in reader
                if row.get('assetType') == assetType]

    def list_stock_tickers(self):
        return self.list_tickers('Stock')

    def list_etf_tickers(self):
        return self.list_tickers('ETF')

    def list_fund_tickers(self):
        return self.list_tickers('Mutual Fund')

    def get_ticker_metadata(self, ticker, fmt='json'):
        """Return metadata for 1 ticker
           Use TiingoClient.list_tickers() to get available options

            Args:
                ticker (str) : Unique identifier for stock
        """
        url = "tiingo/daily/{}".format(ticker)
        response = self._request('GET', url)
        data = response.json()
        if fmt == 'json':
            return data
        elif fmt == 'object':
            return dict_to_object(data, "Ticker")

    def _invalid_frequency(self, frequency):
        """
        Check to see that frequency was specified correctly
        :param frequency (string): frequency string
        :return (boolean):
        """
        is_valid = self._is_eod_frequency(frequency) or re.match(self._frequency_pattern, frequency)
        return not is_valid

    def _get_url(self, ticker, frequency):
        """
        Return url based on frequency.  Daily, weekly, or yearly use Tiingo
        EOD api; anything less than daily uses the iex intraday api.
        :param ticker (string): ticker to be embedded in the url
        :param frequency (string): valid frequency per Tiingo api
        :return (string): url
        """
        if self._invalid_frequency(frequency):
            etext = ("Error: {} is an invalid frequency.  Check Tiingo API documentation "
                     "for valid EOD or intraday frequency format.")
            raise InvalidFrequencyError(etext.format(frequency))
        else:
            if self._is_eod_frequency(frequency):
                return "tiingo/daily/{}/prices".format(ticker)
            else:
                return "iex/{}/prices".format(ticker)

    def get_ticker_price(self, ticker,
                         startDate=None, endDate=None,
                         fmt='json', frequency='daily'):
        """By default, return latest EOD Composite Price for a stock ticker.
           On average, each feed contains 3 data sources.

            Supported tickers + Available Day Ranges are here:
            https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip

            Args:
                ticker (string): Unique identifier for stock ticker
                startDate (string): Start of ticker range in YYYY-MM-DD format
                endDate (string): End of ticker range in YYYY-MM-DD format
                fmt (string): 'csv' or 'json'
                frequency (string): Resample frequency
        """
        url = self._get_url(ticker, frequency)
        params = {
            'format': fmt if fmt != "object" else 'json',  # conversion local
            'resampleFreq': frequency
        }

        if startDate:
            params['startDate'] = startDate
        if endDate:
            params['endDate'] = endDate

        # TODO: evaluate whether to stream CSV to cache on disk, or
        # load as array in memory, or just pass plain text
        response = self._request('GET', url, params=params)
        if fmt == "json":
            return response.json()
        elif fmt == "object":
            data = response.json()
            return [dict_to_object(item, "TickerPrice") for item in data]
        else:
            return response.content.decode("utf-8")

    def get_dataframe(self, tickers,
                      startDate=None, endDate=None, metric_name=None, frequency='daily'):

        """ Return a pandas.DataFrame of historical prices for one or more ticker symbols.

            By default, return latest EOD Composite Price for a list of stock tickers.
            On average, each feed contains 3 data sources.

            Supported tickers + Available Day Ranges are here:
            https://apimedia.tiingo.com/docs/tiingo/daily/supported_tickers.zip
            or from the TiingoClient.list_tickers() method.

            Args:
                tickers (string/list): One or more unique identifiers for a stock ticker.
                startDate (string): Start of ticker range in YYYY-MM-DD format.
                endDate (string): End of ticker range in YYYY-MM-DD format.
                metric_name (string): Optional parameter specifying metric to be returned for each
                    ticker.  In the event of a single ticker, this is optional and if not specified
                    all of the available data will be returned.  In the event of a list of tickers,
                    this parameter is required.
                frequency (string): Resample frequency (defaults to daily).
        """

        valid_columns = {'open', 'high', 'low', 'close', 'volume', 'adjOpen', 'adjHigh', 'adjLow',
                         'adjClose', 'adjVolume', 'divCash', 'splitFactor'}

        if metric_name is not None and metric_name not in valid_columns:
            raise APIColumnNameError('Valid data items are: ' + str(valid_columns))

        if metric_name is None and isinstance(tickers, list):
            raise MissingRequiredArgumentError("""When tickers is provided as a list, metric_name is a required argument.
            Please provide a metric_name, or call this method with one ticker at a time.""")

        params = {
            'format': 'json',
            'resampleFreq': frequency
        }
        if startDate:
            params['startDate'] = startDate
        if endDate:
            params['endDate'] = endDate

        if pandas_is_installed:
            if type(tickers) is str:
                stock = tickers
                url = self._get_url(stock, frequency)
                response = self._request('GET', url, params=params)
                df = pd.DataFrame(response.json())
                if metric_name is not None:
                    prices = df[metric_name]
                    prices.index = df['date']
                else:
                    prices = df
                    prices.index = df['date']
                    del (prices['date'])
            else:
                prices = pd.DataFrame()
                for stock in tickers:
                    url = self._get_url(stock, frequency)
                    response = self._request('GET', url, params=params)
                    df = pd.DataFrame(response.json())
                    df.index = df['date']
                    df.rename(index=str, columns={metric_name: stock}, inplace=True)
                    prices = pd.concat([prices, df[stock]], axis=1)
            prices.index = pd.to_datetime(prices.index)
            return prices
        else:
            error_message = ("Pandas is not installed, but .get_ticker_price() was "
                             "called with fmt=pandas.  In order to install tiingo with "
                             "pandas, reinstall with pandas as an optional dependency. \n"
                             "Install tiingo with pandas dependency: \'pip install tiingo[pandas]\'\n"
                             "Alternatively, just install pandas: pip install pandas.")
            raise InstallPandasException(error_message)

    # NEWS FEEDS
    # tiingo/news
    def get_news(self, tickers=[], tags=[], sources=[], startDate=None,
                 endDate=None, limit=100, offset=0, sortBy="publishedDate",
                 onlyWithTickers=False,
                 fmt='json'):
        """Return list of news articles matching given search terms
            https://api.tiingo.com/docs/tiingo/news

            # Dates are in YYYY-MM-DD Format.

            Args:
                tickers [string] : List of unique Stock Tickers to search
                tags [string] : List of topics tagged by Tiingo Algorithms
                sources [string]: List of base urls to include as news sources
                startDate, endDate [date]: Boundaries of news search window
                limit (int): Max results returned. Default 100, max 1000
                offset (int): Search results offset, used for paginating
                sortBy (string): "publishedDate" OR "crawlDate", descending
                onlyWithTickers (bool): If true, only links with tagged tickers will return.
        """
        url = "tiingo/news"
        params = {
            'limit': limit,
            'offset': offset,
            'sortBy': sortBy,
            'tickers': tickers,
            'source': (",").join(sources),
            'tags': tags,
            'startDate': startDate,
            'endDate': endDate,
            'onlyWithTickers': onlyWithTickers
        }
        response = self._request('GET', url, params=params)
        data = response.json()
        if fmt == 'json':
            return data
        elif fmt == 'object':
            return [dict_to_object(item, "NewsArticle") for item in data]

    def get_bulk_news(self, file_id=None, fmt='json'):
        """Only available to institutional clients.
            If ID is NOT provided, return array of available file_ids.
            If ID is provided, provides URL which you can use to download your
            file, as well as some metadata about that file.
        """
        if file_id:
            url = "tiingo/news/bulk_download/{}".format(file_id)
        else:
            url = "tiingo/news/bulk_download"

        response = self._request('GET', url)
        data = response.json()
        if fmt == 'json':
            return data
        elif fmt == 'object':
            return dict_to_object(data, "BulkNews")