def fetch_stock_values(stock_code, start_date, end_date):
"""Fetches daily stock values from Yahoo Finance."""
start_date = date_to_datetime(
parse_date(start_date if start_date is not None else -30 * 3600 * 24))
end_date = date_to_datetime(
parse_date(end_date if end_date is not None else 0))
if start_date > end_date:
raise ValueError("start_date must be equal to or less than end_date")
provider = Yahoo()
rows = provider.asset_values(stock_code, start_date, end_date,
Granularity.day)
for row in rows:
# TODO: Write a function to handle this for generic cases
# TODO: Convert the timestamp to an ISO format
# NOTE: The last column is data source. Not sure if this is an elegant
# way to handle this.
# FIXME: Think of a better way to handle this
dt = row[0].isoformat()
print(", ".join([dt] + [str(c) for c in row[1:]] + ["yahoo"]))
def test_date_to_datetime():
date = parse_date("2018-01-13")
dt_beginning = parse_datetime("2018-01-13 00:00:00")
dt_end = parse_datetime("2018-01-13 23:59:59")
assert date_to_datetime(date) == dt_beginning
assert date_to_datetime(date, True) == dt_end
def fetch_stock_values(stock_code, start_date, end_date):
"""Fetches daily stock values from Yahoo Finance."""
start_date = date_to_datetime(
parse_date(start_date if start_date is not None else -30 * 3600 * 24))
end_date = date_to_datetime(
parse_date(end_date if end_date is not None else 0))
if start_date > end_date:
raise ValueError('start_date must be equal to or less than end_date')
provider = Yahoo()
rows = provider.asset_values(
stock_code, start_date, end_date, Granularity.day)
for row in rows:
# TODO: Write a function to handle this for generic cases
# TODO: Convert the timestamp to an ISO format
# NOTE: The last column is data source. Not sure if this is an elegant
# way to handle this.
# FIXME: Think of a better way to handle this
dt = row[0].isoformat()
print(', '.join([dt] + [str(c) for c in row[1:]] + ['yahoo']))
def request_import_stock_values_handler(event, context):
codes = ['AMD', 'AMZN', 'BRK-A', 'BRK-B', 'ESRT', 'NVDA', 'SBUX', 'SPY']
start_time = date_to_datetime(parse_date(-3))
end_time = date_to_datetime(parse_date(0))
for code in codes:
request_import_stock_values(code, start_time, end_time)
log.info('Requested to import stock values: {0}', ', '.join(codes))
def request_import_stock_values_handler(event, context):
codes = ["AMD", "AMZN", "BRK-A", "BRK-B", "ESRT", "NVDA", "SBUX", "SPY"]
start_time = date_to_datetime(parse_date(-3))
end_time = date_to_datetime(parse_date(0))
for code in codes:
request_import_stock_values(code, start_time, end_time)
log.info("Requested to import stock values: {0}", ", ".join(codes))
def request_import_stock_values(code):
"""Enqueue a request to import stock values."""
start_time = date_to_datetime(parse_date(-3))
end_time = date_to_datetime(parse_date(0))
request_import_stock_values_(code, start_time, end_time)
def request_import_stock_values(code):
"""Enqueue a request to import stock values."""
start_time = date_to_datetime(parse_date(-3))
end_time = date_to_datetime(parse_date(0))
request_import_stock_values_(code, start_time, end_time)
