def match(request):
initial_query = request.GET.get('q').lstrip() # only lstrip, because whitespace on right may be significant for autocompletion
autocomplete = request.GET.get('autocomplete', False)
sceners_only = request.GET.get('sceners_only', False)
groups_only = request.GET.get('groups_only', False)
# irritating workaround for not being able to pass an "omit this parameter" value to jquery
if autocomplete == 'false' or autocomplete == 'null' or autocomplete == '0':
autocomplete = False
filters = {} # also doubles up as options to pass to NickSearch
if sceners_only:
filters['sceners_only'] = True
elif groups_only:
filters['groups_only'] = True
if autocomplete:
query = initial_query + NickVariant.autocomplete(initial_query, **filters)
else:
query = initial_query
nick_search = NickSearch(query.rstrip(), **filters)
data = {
'query': query,
'initial_query': initial_query,
'match': nick_search.match_data,
}
# to simulate network lag:
#import time
#time.sleep(2)
return HttpResponse(json.dumps(data), mimetype="text/javascript")
def match(request):
initial_query = request.GET.get('q').lstrip(
) # only lstrip, because whitespace on right may be significant for autocompletion
autocomplete = request.GET.get('autocomplete', False)
sceners_only = request.GET.get('sceners_only', False)
groups_only = request.GET.get('groups_only', False)
# irritating workaround for not being able to pass an "omit this parameter" value to jquery
if autocomplete == 'false' or autocomplete == 'null' or autocomplete == '0':
autocomplete = False
filters = {} # also doubles up as options to pass to NickSearch
if sceners_only:
filters['sceners_only'] = True
elif groups_only:
filters['groups_only'] = True
if autocomplete:
query = initial_query + NickVariant.autocomplete(
initial_query, **filters)
else:
query = initial_query
nick_search = NickSearch(query.rstrip(), **filters)
data = {
'query': query,
'initial_query': initial_query,
'match': nick_search.match_data,
}
# to simulate network lag:
#import time
#time.sleep(2)
return HttpResponse(json.dumps(data), mimetype="text/javascript")
def __init__(self,
search_term,
author_nick_selections=[],
affiliation_nick_selections=[],
autocomplete=False):
self.search_term = search_term
# parse the byline
parts = self.search_term.split('/')
authors_string = parts[0] # everything before first slash is an author
affiliations_string = '^'.join(
parts[1:]) # everything after first slash is an affiliation
# split on separators that have a trailing (and optionally leading) space
author_names = re.split(r"\s*[\,\+\^\&]\s+", authors_string)
author_names = [name.lstrip() for name in author_names if name.strip()]
affiliation_names = re.split(r"\s*[\,\+\^\&]\s+", affiliations_string)
affiliation_names = [
name.lstrip() for name in affiliation_names if name.strip()
]
# Now, for any item in author_names or affiliation_names with an internal separator character,
# perform a pre-check for that name. If not present, split it and move on.
vetted_author_names = []
for name in author_names:
if re.search(r"[\,\+\^\&]",
name) and not NickVariant.objects.filter(
name__iexact=name.strip()).exists():
for subname in re.split(r"[\,\+\^\&]", name):
subname = subname.lstrip()
if subname:
vetted_author_names.append(subname)
else:
vetted_author_names.append(name)
vetted_affiliation_names = []
for name in affiliation_names:
if re.search(r"[\,\+\^\&]",
name) and not NickVariant.objects.filter(
name__iexact=name.strip(),
nick__releaser__is_group=True).exists():
for subname in re.split(r"[\,\+\^\&]", name):
subname = subname.lstrip()
if subname:
vetted_affiliation_names.append(subname)
else:
vetted_affiliation_names.append(name)
author_names = vetted_author_names
affiliation_names = vetted_affiliation_names
# attempt to autocomplete the last element of the name,
# if autocomplete flag is True and search term has no trailing ,+^/& separator
if autocomplete and not re.search(r"[\,\+\^\/\&]\s*$",
self.search_term):
if affiliation_names:
autocompletion = NickVariant.autocomplete(
affiliation_names[-1],
significant_whitespace=False,
groups_only=True,
member_names=[name.strip() for name in author_names])
affiliation_names[-1] += autocompletion
self.search_term += autocompletion
elif author_names:
autocompletion = NickVariant.autocomplete(
author_names[-1], significant_whitespace=False)
author_names[-1] += autocompletion
self.search_term += autocompletion
author_names = [name.strip() for name in author_names]
affiliation_names = [name.strip() for name in affiliation_names]
# construct a NickSearch for each element
self.author_nick_searches = []
for (i, author_name) in enumerate(author_names):
try:
selection = author_nick_selections[i]
except IndexError:
selection = None
self.author_nick_searches.append(
NickSearch(author_name,
selection,
group_names=affiliation_names))
self.affiliation_nick_searches = []
for (i, affiliation_name) in enumerate(affiliation_names):
try:
selection = affiliation_nick_selections[i]
except IndexError:
selection = None
self.affiliation_nick_searches.append(
NickSearch(affiliation_name,
selection,
groups_only=True,
member_names=author_names))
self.author_nick_selections = [
nick_search.selection for nick_search in self.author_nick_searches
]
self.affiliation_nick_selections = [
nick_search.selection
for nick_search in self.affiliation_nick_searches
]
def __init__(self, search_term,
author_nick_selections=[], affiliation_nick_selections=[],
autocomplete=False):
self.search_term = search_term
# parse the byline
parts = self.search_term.split('/')
authors_string = parts[0] # everything before first slash is an author
affiliations_string = '^'.join(parts[1:]) # everything after first slash is an affiliation
# split on separators that have a trailing (and optionally leading) space
author_names = re.split(r"\s*[\,\+\^\&]\s+", authors_string)
author_names = [name.lstrip() for name in author_names if name.strip()]
affiliation_names = re.split(r"\s*[\,\+\^\&]\s+", affiliations_string)
affiliation_names = [name.lstrip() for name in affiliation_names if name.strip()]
# Now, for any item in author_names or affiliation_names with an internal separator character,
# perform a pre-check for that name. If not present, split it and move on.
vetted_author_names = []
for name in author_names:
if re.search(r"[\,\+\^\&]", name) and not NickVariant.objects.filter(name__iexact=name.strip()).exists():
for subname in re.split(r"[\,\+\^\&]", name):
subname = subname.lstrip()
if subname:
vetted_author_names.append(subname)
else:
vetted_author_names.append(name)
vetted_affiliation_names = []
for name in affiliation_names:
if re.search(r"[\,\+\^\&]", name) and not NickVariant.objects.filter(name__iexact=name.strip(), nick__releaser__is_group=True).exists():
for subname in re.split(r"[\,\+\^\&]", name):
subname = subname.lstrip()
if subname:
vetted_affiliation_names.append(subname)
else:
vetted_affiliation_names.append(name)
author_names = vetted_author_names
affiliation_names = vetted_affiliation_names
# attempt to autocomplete the last element of the name,
# if autocomplete flag is True and search term has no trailing ,+^/& separator
if autocomplete and not re.search(r"[\,\+\^\/\&]\s*$", self.search_term):
if affiliation_names:
autocompletion = NickVariant.autocomplete(
affiliation_names[-1],
significant_whitespace=False,
groups_only=True, members=[name.strip() for name in author_names])
affiliation_names[-1] += autocompletion
self.search_term += autocompletion
elif author_names:
autocompletion = NickVariant.autocomplete(
author_names[-1],
significant_whitespace=False)
author_names[-1] += autocompletion
self.search_term += autocompletion
author_names = [name.strip() for name in author_names]
affiliation_names = [name.strip() for name in affiliation_names]
# construct a NickSearch for each element
self.author_nick_searches = []
for (i, author_name) in enumerate(author_names):
try:
selection = author_nick_selections[i]
except IndexError:
selection = None
self.author_nick_searches.append(
NickSearch(author_name, selection, group_names=affiliation_names)
)
self.affiliation_nick_searches = []
for (i, affiliation_name) in enumerate(affiliation_names):
try:
selection = affiliation_nick_selections[i]
except IndexError:
selection = None
self.affiliation_nick_searches.append(
NickSearch(affiliation_name, selection, groups_only=True, member_names=author_names)
)
self.author_nick_selections = [nick_search.selection for nick_search in self.author_nick_searches]
self.affiliation_nick_selections = [nick_search.selection for nick_search in self.affiliation_nick_searches]
