def patch2(patch_data):
Model = getattr(models, patch_data['model'])
key_list = patch_data['-key']
val_list = subdict(patch_data, key_list)
try:
utils.create_or_update(Model, patch_data, key_list, create=False, update=True)
LOG.info("successfully patched %s", val_list)
return True
except Model.DoesNotExist:
LOG.warn("%s not found, skipping patch", patch_data['model'])
return False
except Exception as err:
LOG.error("unhandled exception attempting to patch %s: %s", val_list, err)
def scrape(slug, url, name, title=None):
f = urlopen(url)
doc = f.read()
doc, errs = tidy_document(
doc,
options={
"output-html": 1,
#'indent':1,
"clean": 1,
"drop-font-tags": 1,
},
)
if errs:
# raise Exception, errs
print errs
doc = html5lib.parse(doc, treebuilder="lxml") # this didn't work, but above three lines did: encoding='utf-8',
html.xhtml_to_html(doc)
jQuery = PyQuery([doc])
td = jQuery("td#content")
assert len(td) == 1
for img in td("img"):
# print 'img:', PyQuery (img)
img = PyQuery(img)
src = img.attr("src")
# alt = img.attr('alt')
# if src.startswith ('/image'):
rslt = getimage(src, slug.split("/")[0])
img.attr("src", rslt)
if trace:
print rslt
# td =
# no_fonts (td)
# need to fix links here
content = PyQuery(td[0])
# content = content.html()
content = no_namespaces(content.html())
print slug, content[:60] # .html() # [:60]
if dbteeth:
# q, created = QuickPage.objects.get_or_create (
qp, created = create_or_update(
QuickPage,
keys=dict(slug=slug),
fields=dict(
name=name,
title=title if title else name,
content=content,
# defaults = dict (sortorder = sortorder),
),
)
def scrape(slug, url, name, title=None):
f = urlopen(url)
doc = f.read()
doc, errs = tidy_document(
doc,
options={
'output-html': 1,
#'indent':1,
'clean': 1,
'drop-font-tags': 1,
})
if errs:
#raise Exception, errs
print errs
doc = html5lib.parse(
doc, treebuilder='lxml'
) # this didn't work, but above three lines did: encoding='utf-8',
html.xhtml_to_html(doc)
jQuery = PyQuery([doc])
td = jQuery('td#content')
assert len(td) == 1
for img in td('img'):
#print 'img:', PyQuery (img)
img = PyQuery(img)
src = img.attr('src')
#alt = img.attr('alt')
#if src.startswith ('/image'):
rslt = getimage(src, slug.split('/')[0])
img.attr('src', rslt)
if trace: print rslt
#td =
#no_fonts (td)
# need to fix links here
content = PyQuery(td[0])
#content = content.html()
content = no_namespaces(content.html())
print slug, content[:60] #.html() # [:60]
if dbteeth:
#q, created = QuickPage.objects.get_or_create (
qp, created = create_or_update(
QuickPage,
keys=dict(slug=slug),
fields=dict(
name=name,
title=title if title else name,
content=content,
#defaults = dict (sortorder = sortorder),
))
def load (csvfile): # for a by-city table with ~2600 entries
rows = reader (csvfile)
rows.next() # skip over column headings
for city, tax, county in rows:
unique_city = city.replace ('*','')
try:
instance, created = create_or_update (CataxByCity, dict (city=unique_city), dict (tax=tax, county=county))
except DuplicateException, e:
unique_city = '%s %(%s County)' % (city, row.county)
instance, created = create_or_update (CataxByCity, dict(city=unique_city), dict (tax=tax, county=county))
if created:
print 'Created:', unique_city, tax
else:
print 'Updated:', unique_city, tax
def load (csvfile): # for a by-city table with ~2600 entries
rows = reader (csvfile)
rows.next() # skip over column headings
for city, tax, county in rows:
unique_city = city.replace ('*','')
try:
instance, created = create_or_update (CataxByCity, dict (city=unique_city), dict (tax=tax, county=county))
except DuplicateException, e:
unique_city = '%s %(%s County)' % (city, row.county)
instance, created = create_or_update (CataxByCity, dict(city=unique_city), dict (tax=tax, county=county))
if created:
print 'Created:', unique_city, tax
else:
print 'Updated:', unique_city, tax
def load2 (csvfile): # loads the normalized-by-county-rate table, ~110 entries
rows = reader (csvfile)
rows.next() # skip over column headings
#### First build unique dict tree by county & tax rate, listing cities:
catax = {}
count = 0
for city, rate, county in rows:
count += 1
city = re.sub('(\(.*\))', '', city)
city = city.strip().replace ('*', '')
county = county.strip().replace ('*', '')
rate = '%4g' % float (rate.strip('% '))
if county in catax:
if rate in catax [county]:
catax [county][rate] += ', ' + city
else:
catax [county][rate] = city
else:
catax [county] = { rate:city }
if trace:
pprint (catax)
#### Now count cities and build minimized list - county default is highest city count, then exceptions listed with cities
catax2 = []
for county, ratesdict in catax.items():
#print len (ratesdict)
rates = [[rate, len (cities.split(',')), cities] for (rate, cities) in ratesdict.items()]
rates.sort(key=lambda r: r[1], reverse=1)
#print rates
catax2 += [(county, '', rates [0][0], rates [0][1])]
rates [0].append (county) # append name
for r in rates [1:]:
catax2 += [(county, r [2], r [0], r [1])]
r.append ('%s (%s)' % (county, r [2]))
if dbteeth:
for rate, count, cities, name in rates:
#for (rate, cities) in ratesdict.items()
try:
instance, created = create_or_update (Catax, dict(name=name), dict (tax=rate, county=county, cities=cities, count=count))
except Exception, e:
print e, name, rate, county, cities, count
if created:
print 'Created:', name, rate
else:
print 'Updated:', name, rate
# row ['notes'] = row ['notes'].encode ('utf8', 'ignore')
row["notes"] = unicode(row["notes"], "utf8", "ignore")
if not row["shipprice"]:
row.pop("shipprice")
if not order_id.isdigit():
print "NOT imported:", order_id
continue
# row ['notes'] += 'Original order was %s - imported attached to order #1 as a catchall - JJW'
# order_id = 1
# elif int (order_id) <25300:
# continue
try:
ol, created = create_or_update(ImportedOrderLine, dict(line=line, order_id=order_id), row)
# print ol, created
except Exception, e:
print e
from pprint import pprint
pprint(row)
raise
continue
# old:
l = ImportedOrder(id=line.pop("id"))
o.shiprate = line.pop("shiprate")
o.shipcost = line.pop("shipcost")
o.ordernum = line.pop("ordernum")
def scrape_redirect(fm, to):
redir, created = create_or_update(Redirect, keys=dict(old_path=fm, site_id=1), fields=dict(new_path=to))
print redir
def load2 (csvfile): # loads the normalized-by-county-rate table, ~110 entries
rows = reader (csvfile)
rows.next() # skip over column headings
#### First build unique dict tree by county & tax rate, listing cities:
catax = {}
count = 0
for city, rate, county in rows:
count += 1
city = re.sub('(\(.*\))', '', city)
city = city.strip().replace ('*', '')
county = county.strip().replace ('*', '')
rate = '%4g' % float (rate.strip('% '))
if county in catax:
if rate in catax [county]:
catax [county][rate] += ', ' + city
else:
catax [county][rate] = city
else:
catax [county] = { rate:city }
if trace:
pprint (catax)
#### Now count cities and build minimized list - county default is highest city count, then exceptions listed with cities
catax2 = []
for county, ratesdict in catax.items():
#print len (ratesdict)
rates = [[rate, len (cities.split(',')), cities] for (rate, cities) in ratesdict.items()]
rates.sort(key=lambda r: r[1], reverse=1)
#print rates
catax2 += [(county, '', rates [0][0], rates [0][1])]
rates [0].append (county) # append name
for r in rates [1:]:
catax2 += [(county, r [2], r [0], r [1])]
r.append ('%s (%s)' % (county, r [2]))
if dbteeth:
for rate, count, cities, name in rates:
#for (rate, cities) in ratesdict.items()
instance, created = create_or_update (Catax, dict(name=name), dict (tax=rate, county=county, cities=cities, count=count))
if created:
print 'Created:', name, rate
else:
print 'Updated:', name, rate
catax2.sort()
if trace:
pprint (catax2)
#print "Org len (total CA cities):", len (catax.items()), "Normalized:", len (catax2)
print "Org len (total CA cities):", count, "Counties:", len (catax), "Unique rates:", len (catax2)
#### Now create legacy catax.calist for Zope, as needed
if teeth:
calist = [ ('', 'Select CA County') ]
for (county, city, tax, count) in catax2:
tax = float (tax) #+ 1.25
if city:
val = county + ' (%s)' % city
else:
val = county
val = val + ' %.4g%%' % (tax)
if city:
county = '%s.%s' % (county, city.replace(' ','').replace(',','_'))
nam = "(%s,'%s')" % (tax, county)
calist.append ( (nam, val) )
f = open ('catax.py','w')
f.write ('calist=' + pformat (calist))
f.close()
row['notes'] = unicode(row['notes'], 'utf8', 'ignore')
if not row['shipprice']:
row.pop('shipprice')
if not order_id.isdigit():
print 'NOT imported:', order_id
continue
#row ['notes'] += 'Original order was %s - imported attached to order #1 as a catchall - JJW'
#order_id = 1
#elif int (order_id) <25300:
# continue
try:
ol, created = create_or_update(ImportedOrderLine,
dict(line=line, order_id=order_id),
row)
#print ol, created
except Exception, e:
print e
from pprint import pprint
pprint(row)
raise
continue
# old:
l = ImportedOrder(id=line.pop('id'))
o.shiprate = line.pop('shiprate')
o.shipcost = line.pop('shipcost')
o.ordernum = line.pop('ordernum')
def update_ca_tax (self): # loads the normalized-by-county-rate table, ~110 entries
url="http://www.boe.ca.gov/sutax/files/city_rates.csv"
data = urllib2.urlopen(url)
while True:
each_line = data.readline()
if "City" in each_line:
break# skip over column headings
#### First build unique dict tree by county & tax rate, listing cities:
catax = {}
count = 0
while True:
each_line = data.readline()
words = each_line.split(",")
if len(words)!=3:
break
city = words[0]
rate = words[1]
county = words[2]
count += 1
city = re.sub('(\(.*\))', '', city)
city = city.strip().replace ('*', '')
county = county.strip().replace ('*', '')
rate = '%4g' % float (rate.strip('% '))
if county in catax:
if rate in catax [county]:
catax [county][rate] += ', ' + city
else:
catax [county][rate] = city
else:
catax [county] = { rate:city }
if trace:
pprint(catax)
catax2 = []
for county, ratesdict in catax.items():
rates = [[rate, len (cities.split(',')), cities] for (rate, cities) in ratesdict.items()]
rates.sort(key=lambda r: r[1], reverse=1)
#print rates
catax2 += [(county, '', rates [0][0], rates [0][1])]
rates [0].append (county) # append name
for r in rates [1:]:
catax2 += [(county, r [2], r [0], r [1])]
r.append ('%s (%s)' % (county, r [2]))
if dbteeth:
for rate, count, cities, name in rates:
instance, created = create_or_update (Catax, dict(name=name), dict (tax=rate, county=county, cities=cities, count=count))
if created:
print 'Created:', name, rate
else:
print 'Updated:', name, rate
catax2.sort()
if trace:
pprint (catax2)
#print "Org len (total CA cities):", len (catax.items()), "Normalized:", len (catax2)
print "Org len (total CA cities):", count, "Counties:", len (catax), "Unique rates:", len (catax2)
#### Now create legacy catax.calist for Zope, as needed
if teeth:
calist = [ ('', 'Select CA County') ]
for (county, city, tax, count) in catax2:
tax = float (tax) #+ 1.25
if city:
val = county + ' (%s)' % city
else:
val = county
val = val + ' %.4g%%' % (tax)
if city:
county = '%s.%s' % (county, city.replace(' ','').replace(',','_'))
nam = "(%s,'%s')" % (tax, county)
calist.append ( (nam, val) )
f = open ("./test.py",'w')
f.write ('calist=' + pformat (calist))
f.close()
def scrape_redirect (fm, to):
redir, created = create_or_update (Redirect, keys = dict(old_path = fm, site_id=1), fields = dict(new_path = to))
print redir