def getMakesModels(self):
mms = {}
returnList = []
for k, v in self.conn.getPPDs().items():
if mms.get(v['ppd-make'], None) is None:
mms[v['ppd-make']] = []
v = camelCase(v)
v['uuid'] = k
mms[v['PpdMake']].append(v)
for k,v in mms.items():
v.sort(lambda a,b: cups.modelSort(a['PpdMakeAndModel'], b['PpdMakeAndModel']))
returnList.append({
'make': k,
'models': v
})
returnList.sort(lambda a,b: cups.modelSort(a['make'],b['make'] ))
print json.dumps(returnList)
def _findBestMatchPPDs (self, mdls, mdl):
"""
Find the best-matching PPDs based on the MDL Device ID.
This function could be made a lot smarter.
"""
_debugprint ("Trying best match")
mdll = mdl.lower ()
if mdll.endswith (" series"):
# Strip " series" from the end of the MDL field.
mdll = mdll[:-7]
mdl = mdl[:-7]
best_mdl = None
best_matchlen = 0
mdlnames = list(mdls.keys ())
# Perform a case-insensitive model sort on the names.
mdlnamesl = [(x, x.lower()) for x in mdlnames]
mdlnamesl.append ((mdl, mdll))
mdlnamesl.sort (key=functools.cmp_to_key(lambda x, y: cups.modelSort(x[1], y[1])))
i = mdlnamesl.index ((mdl, mdll))
candidates = [mdlnamesl[i - 1]]
if i + 1 < len (mdlnamesl):
candidates.append (mdlnamesl[i + 1])
_debugprint (candidates[0][0] + " <= " + mdl + " <= " +
candidates[1][0])
else:
_debugprint (candidates[0][0] + " <= " + mdl)
# Look at the models immediately before and after ours in the
# sorted list, and pick the one with the longest initial match.
for (candidate, candidatel) in candidates:
prefix = os.path.commonprefix ([candidatel, mdll])
if len (prefix) > best_matchlen:
best_mdl = list(mdls[candidate].keys ())
best_matchlen = len (prefix)
_debugprint ("%s: match length %d" % (candidate, best_matchlen))
# Did we match more than half of the model name?
if best_mdl and best_matchlen > (len (mdll) / 2):
ppdnamelist = best_mdl
if best_matchlen == len (mdll):
fit = self.FIT_EXACT
else:
fit = self.FIT_CLOSE
else:
fit = self.FIT_NONE
ppdnamelist = None
# Last resort. Find the "most important" word in the MDL
# field and look for a match based solely on that. If
# there are digits, try lowering the number of
# significant figures.
mdlnames.sort (key=functools.cmp_to_key(cups.modelSort))
mdlitems = [(x.lower (), mdls[x]) for x in mdlnames]
modelid = None
for word in mdll.split (' '):
if modelid == None:
modelid = word
have_digits = False
for i in range (len (word)):
if word[i].isdigit ():
have_digits = True
break
if have_digits:
modelid = word
break
digits = 0
digits_start = -1
digits_end = -1
for i in range (len (modelid)):
if modelid[i].isdigit ():
if digits_start == -1:
digits_start = i
digits_end = i
digits += 1
elif digits_start != -1:
break
digits_end += 1
modelnumber = 0
if digits > 0:
modelnumber = int (modelid[digits_start:digits_end])
modelpattern = (modelid[:digits_start] + "%d" +
modelid[digits_end:])
_debugprint ("Searching for model ID '%s', '%s' %% %d" %
(modelid, modelpattern, modelnumber))
ignore_digits = 0
best_mdl = None
found = False
while ignore_digits < digits:
div = pow (10, ignore_digits)
modelid = modelpattern % ((modelnumber / div) * div)
_debugprint ("Ignoring %d of %d digits, trying %s" %
(ignore_digits, digits, modelid))
for (name, ppds) in mdlitems:
for word in name.split (' '):
if word.lower () == modelid:
found = True
break
if found:
best_mdl = list(ppds.keys ())
break
if found:
break
ignore_digits += 1
if digits < 2:
break
if found:
ppdnamelist = best_mdl
fit = self.FIT_CLOSE
return (fit, ppdnamelist)
def compare_models (a,b):
first = normalize (a)
second = normalize (b)
return cups.modelSort(first, second)
def _findBestMatchPPDs(self, mdls, mdl):
"""
Find the best-matching PPDs based on the MDL Device ID.
This function could be made a lot smarter.
"""
_debugprint("Trying best match")
mdll = mdl.lower()
if mdll.endswith(" series"):
# Strip " series" from the end of the MDL field.
mdll = mdll[:-7]
mdl = mdl[:-7]
best_mdl = None
best_matchlen = 0
mdlnames = list(mdls.keys())
# Perform a case-insensitive model sort on the names.
mdlnamesl = [(x, x.lower()) for x in mdlnames]
mdlnamesl.append((mdl, mdll))
mdlnamesl.sort(
key=functools.cmp_to_key(lambda x, y: cups.modelSort(x[1], y[1])))
i = mdlnamesl.index((mdl, mdll))
candidates = [mdlnamesl[i - 1]]
if i + 1 < len(mdlnamesl):
candidates.append(mdlnamesl[i + 1])
_debugprint(candidates[0][0] + " <= " + mdl + " <= " +
candidates[1][0])
else:
_debugprint(candidates[0][0] + " <= " + mdl)
# Look at the models immediately before and after ours in the
# sorted list, and pick the one with the longest initial match.
for (candidate, candidatel) in candidates:
prefix = os.path.commonprefix([candidatel, mdll])
if len(prefix) > best_matchlen:
best_mdl = list(mdls[candidate].keys())
best_matchlen = len(prefix)
_debugprint("%s: match length %d" % (candidate, best_matchlen))
# Did we match more than half of the model name?
if best_mdl and best_matchlen > (len(mdll) / 2):
ppdnamelist = best_mdl
if best_matchlen == len(mdll):
fit = self.FIT_EXACT
else:
fit = self.FIT_CLOSE
else:
fit = self.FIT_NONE
ppdnamelist = None
# Last resort. Find the "most important" word in the MDL
# field and look for a match based solely on that. If
# there are digits, try lowering the number of
# significant figures.
mdlnames.sort(key=functools.cmp_to_key(cups.modelSort))
mdlitems = [(x.lower(), mdls[x]) for x in mdlnames]
modelid = None
for word in mdll.split(' '):
if modelid is None:
modelid = word
have_digits = False
for i in range(len(word)):
if word[i].isdigit():
have_digits = True
break
if have_digits:
modelid = word
break
digits = 0
digits_start = -1
digits_end = -1
for i in range(len(modelid)):
if modelid[i].isdigit():
if digits_start == -1:
digits_start = i
digits_end = i
digits += 1
elif digits_start != -1:
break
digits_end += 1
modelnumber = 0
if digits > 0:
modelnumber = int(modelid[digits_start:digits_end])
modelpattern = (modelid[:digits_start] + "%d" +
modelid[digits_end:])
_debugprint("Searching for model ID '%s', '%s' %% %d" %
(modelid, modelpattern, modelnumber))
ignore_digits = 0
best_mdl = None
found = False
while ignore_digits < digits:
div = pow(10, ignore_digits)
modelid = modelpattern % ((modelnumber / div) * div)
_debugprint("Ignoring %d of %d digits, trying %s" %
(ignore_digits, digits, modelid))
for (name, ppds) in mdlitems:
for word in name.split(' '):
if word.lower() == modelid:
found = True
break
if found:
best_mdl = list(ppds.keys())
break
if found:
break
ignore_digits += 1
if digits < 2:
break
if found:
ppdnamelist = best_mdl
fit = self.FIT_CLOSE
return (fit, ppdnamelist)
def compare_models(a, b):
first = normalize(a)
second = normalize(b)
return cups.modelSort(first, second)
