def index(items, doc_type, create=False):
indexer = IndexerContext(settings.XAPIAN_DB)
if create:
with indexer as conn:
create_index(conn)
preprocess_text = lambda t: normalize_text(t).lower()
with indexer as conn:
n = 0
for n, (key, data) in enumerate(items, 1):
doc = xappy.UnprocessedDocument(key)
doc.append('type', doc_type)
for field in TEXT_FIELDS:
val = data.get(field, '')
if val:
doc.append(field, preprocess_text(val))
for field in EXACT_FIELDS:
val = data.get(field, '')
if field == 'date' and val:
val = val.partition(' ')[0]
if not val.count('-') == 2:
val = None
if val:
doc.append(field, val)
for field, kwargs in SORTABLE_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val, **kwargs)
for field in FACET_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val)
for field in COLLAPSE_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val)
conn.add(doc)
return n
def index(items, doc_type, create=False):
indexer = IndexerContext(settings.XAPIAN_DB)
if create:
with indexer as conn:
create_index(conn)
preprocess_text = lambda t: normalize_text(t).lower()
with indexer as conn:
n = 0
for n, (key, data) in enumerate(items, 1):
doc = xappy.UnprocessedDocument(key)
doc.append('type', doc_type)
for field in TEXT_FIELDS:
val = data.get(field, '')
if val:
doc.append(field, preprocess_text(val))
for field in EXACT_FIELDS:
val = data.get(field, '')
if field == 'date' and val:
val = val.partition(' ')[0]
if not val.count('-') == 2:
val = None
if val:
doc.append(field, val)
for field, kwargs in SORTABLE_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val, **kwargs)
for field in FACET_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val)
for field in COLLAPSE_FIELDS:
val = data.get(field)
if not val:
continue
doc.append(field, val)
conn.add(doc)
return n
def preprocessor(doc, fields):
return normalize_text('\n'.join(doc.get(f, '') for f in fields))
def only_camelcase(doc):
return ' '.join(
RE_CAMEL.findall(normalize_text(doc['headline'] + ' ' + doc['body'])))
def preprocessor(doc, fields):
return normalize_text('\n'.join(
doc.get(f, '') for f in fields
))
def only_camelcase(doc):
return ' '.join(RE_CAMEL.findall(normalize_text(
doc['headline'] + ' ' + doc['body'])))