def __init__(*args):
"""push credentials into login fields and start thread"""
args = list(args)
self = args.pop(0)
self._args = args
self._events = []
self._urls = _urls
self._running = True
self._time = time()
self.friends = {}
self.sales = Pdict(os.path.join(os.path.dirname(__file__), "sales"))
self.interval = 15
self.empty = False
Thread.__init__(self)
self.start()
def __init__(self, path, data={}):
Pdict.__init__(self, path)
Odict.__init__(self, data)
#! /usr/bin/python
import sys
from os.path import dirname, exists, join as pathjoin
from locale import setlocale, LC_ALL, format
from tools import Pdict, Odict
args = sys.argv[1:]
if not args:
args = ("Location", "Product")
setlocale(LC_ALL, "")
sales = Pdict(pathjoin(dirname(__file__), "sales"))
paddings = [max([max([len(sale["name"]), len(sale["item"]),
len(sale["location"])]) for sale in sales.values()]), 10, 6]
def cleanup():
# perform one-time clean up of sales data corrupted by
# Linden Lab's change from 10 char IDs to 36 char IDs with
# no defined way of comparing a sale that was recorded twice
# with each type of id
cleaned_file = pathjoin(dirname(__file__), "ll_id_change_cleaned")
if exists(cleaned_file):
return
f = open(cleaned_file, "w")
f.write("done")
f.close()
sale_str = "%(date)s%(name)s%(item)s"
new_values = [sale_str % v for k, v in sales.items() if len(k) == 36]
if len(new_values) == len(sales):
def __init__(self, path, data={}):
Pdict.__init__(self, path)
Odict.__init__(self, data)
from os.path import dirname, join as pathjoin
from os import startfile
from sys import argv
from tools import Pdict
path = lambda f: pathjoin(dirname(__file__), f)
product = "" if len(argv) < 2 else argv[1]
print argv[1]
csv = path("customers%s.csv" % ("" if not product else "_%s" % product.lower().replace(" ", "_")))
sales = Pdict(path("sales"))
customers = set([sale["name"] for sale in sales.values() if not product or product == sale["item"]])
try:
f = open(csv, "w")
f.write("\n".join(customers))
f.close()
except IOError, e:
print "failed to create customer csv file: %s" % e
else:
startfile(csv)
#! /usr/bin/python
import sys
from os.path import dirname, exists, join as pathjoin
from locale import setlocale, LC_ALL, format
from tools import Pdict, Odict
args = sys.argv[1:]
if not args:
args = ("Location", "Product")
setlocale(LC_ALL, "")
sales = Pdict(pathjoin(dirname(__file__), "sales"))
paddings = [
max([
max([len(sale["name"]),
len(sale["item"]),
len(sale["location"])]) for sale in sales.values()
]), 10, 6
]
def cleanup():
# perform one-time clean up of sales data corrupted by
# Linden Lab's change from 10 char IDs to 36 char IDs with
# no defined way of comparing a sale that was recorded twice
# with each type of id
cleaned_file = pathjoin(dirname(__file__), "ll_id_change_cleaned")
if exists(cleaned_file):
return
f = open(cleaned_file, "w")
f.write("done")
