# report.py
import fileparse
from stock import Stock
import tableformat
from portfolio import Portfolio
def read_portfolio(filename):
'''
Read a stock portfolio file into a list of dictionaries with keys
name, shares, and price.
'''
with open(filename) as lines:
portdicts = fileparse.parse_csv(lines,
select=['name','shares','price'],
types=[str,int,float])
portfolio = [ Stock(d['name'], d['shares'], d['price']) for d in portdicts ]
return Portfolio(portfolio)
def read_prices(filename):
'''
Read a CSV file of price data into a dict mapping names to prices.
'''
with open(filename) as lines:
return dict(fileparse.parse_csv(lines, types=[str,float], has_headers=False))
def make_report_data(portfolio, prices):
'''
Make a list of (name, shares, price, change) tuples given a portfolio list
and prices dictionary.
'''
rows = []
for s in portfolio:
current_price = prices[s.name]
change = current_price - s.price
summary = (s.name, s.shares, current_price, change)
rows.append(summary)
return rows
def print_report(reportdata, formatter):
'''
Print a nicely formated table from a list of (name, shares, price, change) tuples.
'''
formatter.headings(['Name','Shares','Price','Change'])
for name, shares, price, change in reportdata:
rowdata = [ name, str(shares), f'{price:0.2f}', f'{change:0.2f}' ]
formatter.row(rowdata)
def portfolio_report(portfoliofile, pricefile, fmt='txt'):
'''
Make a stock report given portfolio and price data files.
'''
# Read data files
portfolio = read_portfolio(portfoliofile)
prices = read_prices(pricefile)
# Create the report data
report = make_report_data(portfolio, prices)
# Print it out
formatter = tableformat.create_formatter(fmt)
print_report(report, formatter)
def main(args):
if len(args) != 4:
raise SystemExit('Usage: %s portfile pricefile format' % args[0])
portfolio_report(args[1], args[2], args[3])
if __name__ == '__main__':
import sys
main(sys.argv)