def print(ctx):
"""This command loads config.yaml and the current ENV-ironment,
creates a single merged dict, and prints to stdout.
"""
c = app.get_config_dict(ctx)
click.echo(utils.YamlUtils.yaml_dict_to_string(c))
def run(ctx, config_yaml, output_csv):
"""This command loads config.yaml and the current ENV-ironment,
creates a single merged dict, and prints to stdout.
"""
# read the configuration file
c = app.get_config_dict(ctx, [config_yaml])
# use cache to reduce web traffic
session = requests_cache.CachedSession(
cache_name='cache',
backend='sqlite',
expire_after=datetime.timedelta(days=days_to_cache))
# all data will also be combined into one CSV
all_df = None
for ticker in c['config']['options']['long_puts']:
option = Options(ticker, 'yahoo', session=session)
# fetch all data
df = option.get_all_data()
# process the data
df = long_puts_process_dataframe(df)
# ensure the all_df (contains all data from all tickers)
if all_df is None:
all_df = df.copy(deep=True)
else:
all_df = all_df.append(df)
# output the all_df, which contains all of the tickers
long_puts_csv_out(output_csv, all_df)
def run(ctx, config_yaml, output_csv):
"""This command loads config.yaml and the current ENV-ironment,
creates a single merged dict, and prints to stdout.
"""
# read the configuration file
c = app.get_config_dict(ctx, [config_yaml])
# get the client
tda = TDAmeritrade()
tdc = tda.getClient()
# all data will also be combined into one CSV
all_df = None
for ticker in c['config']['options']['covered_calls']:
# fetch all data
stock = tdc.quoteDF(ticker)
option = tdc.optionsDF(ticker)
# process the data
df = covered_calls_process_dataframe(stock, option)
# ensure the all_df (contains all data from all tickers)
if all_df is None:
all_df = df.copy(deep=True)
else:
all_df = all_df.append(df)
# output the all_df, which contains all of the tickers
covered_calls_csv_out(output_csv, all_df)