#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
''' Provide historical ticker data for selected stocks.

This module contains five dicts: ``AAPL``, ``FB``, ``GOOG``, ``IBM``, and ``MSFT``.

Each dictionary has the structure:

.. code-block:: python

    AAPL['date']       # list of date string
    AAPL['open']       # list of float
    AAPL['high']       # list of float
    AAPL['low']        # list of float
    AAPL['close']      # list of float
    AAPL['volume']     # list of int
    AAPL['adj_close']  # list of float

'''

#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import annotations

import logging # isort:skip
log = logging.getLogger(__name__)

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

# Standard library imports
import csv

# Bokeh imports
from ..util.sampledata import external_path, open_csv

#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------

__all__ = (
    'AAPL',
    'FB',
    'GOOG',
    'IBM',
    'MSFT',
)

#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------

def _read_data(name):
    '''

    '''
    filename = external_path(name+'.csv')
    data = {
        'date' : [],
        'open' : [],
        'high' : [],
        'low' : [],
        'close' : [],
        'volume' : [],
        'adj_close': [],
    }
    with open_csv(filename) as f:
        next(f)
        reader = csv.reader(f, delimiter=",")
        for row in reader:
            date, open_price, high, low, close, volume, adj_close = row
            data['date'].append(date)
            data['open'].append(float(open_price))
            data['high'].append(float(high))
            data['low'].append(float(low))
            data['close'].append(float(close))
            data['volume'].append(int(volume))
            data['adj_close'].append(float(adj_close))
    return data

#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------

AAPL = _read_data('AAPL')
FB   = _read_data('FB')
GOOG = _read_data('GOOG')
IBM  = _read_data('IBM')
MSFT = _read_data('MSFT')