def test_lang_is_available(self):
from c2cgeoportal.pyramid_ import locale_negotiator
from pyramid.threadlocal import get_current_registry
from pyramid.request import Request
request = Request.blank("/")
request.registry = get_current_registry()
request.registry.settings = {
"default_locale_name": "de",
"available_locale_names": ["de", "es"]
}
request.accept_language = "en-us,en;q=0.3,es;q=0.7"
lang = locale_negotiator(request)
self.assertEqual(lang, "es")
def test_lang_is_available(self):
from c2cgeoportal.pyramid_ import locale_negotiator
from pyramid.threadlocal import get_current_registry
from pyramid.request import Request
request = Request.blank("/")
request.registry = get_current_registry()
request.registry.settings = {
"default_locale_name": "de",
"available_locale_names": ["de", "es"]
}
request.accept_language = "en-us,en;q=0.3,es;q=0.7"
lang = locale_negotiator(request)
self.assertEquals(lang, "es")
def fulltextsearch(self):
lang = locale_negotiator(self.request)
try:
language = self.languages[lang]
except KeyError:
return HTTPInternalServerError(
detail="%s not defined in languages" % lang)
if "query" not in self.request.params:
return HTTPBadRequest(detail="no query")
terms = self.request.params.get("query")
maxlimit = self.settings.get("maxlimit", 200)
try:
limit = int(self.request.params.get(
"limit",
self.settings.get("defaultlimit", 30)))
except ValueError:
return HTTPBadRequest(detail="limit value is incorrect")
if limit > maxlimit:
limit = maxlimit
try:
partitionlimit = int(self.request.params.get("partitionlimit", 0))
except ValueError:
return HTTPBadRequest(detail="partitionlimit value is incorrect")
if partitionlimit > maxlimit:
partitionlimit = maxlimit
terms_ts = "&".join(w + ":*"
for w in IGNORED_CHARS_RE.sub(" ", terms).split(" ") if w != "")
_filter = FullTextSearch.ts.op("@@")(func.to_tsquery(language, terms_ts))
if self.request.user is None or self.request.user.role is None:
_filter = and_(_filter, FullTextSearch.public.is_(True))
else:
_filter = and_(
_filter,
or_(
FullTextSearch.public.is_(True),
FullTextSearch.role_id.is_(None),
FullTextSearch.role_id == self.request.user.role.id
)
)
if "interface" in self.request.params:
_filter = and_(_filter, or_(
FullTextSearch.interface_id.is_(None),
FullTextSearch.interface_id == self._get_interface_id(
self.request.params["interface"]
)
))
else:
_filter = and_(_filter, FullTextSearch.interface_id.is_(None))
_filter = and_(_filter, or_(
FullTextSearch.lang.is_(None),
FullTextSearch.lang == lang,
))
# The numbers used in ts_rank_cd() below indicate a normalization method.
# Several normalization methods can be combined using |.
# 2 divides the rank by the document length
# 8 divides the rank by the number of unique words in document
# By combining them, shorter results seem to be preferred over longer ones
# with the same ratio of matching words. But this relies only on testing it
# and on some assumptions about how it might be calculated
# (the normalization is applied two times with the combination of 2 and 8,
# so the effect on at least the one-word-results is therefore stronger).
rank = func.ts_rank_cd(FullTextSearch.ts, func.to_tsquery(language, terms_ts), 2 | 8)
if partitionlimit:
# Here we want to partition the search results based on
# layer_name and limit each partition.
row_number = func.row_number().over(
partition_by=FullTextSearch.layer_name,
order_by=(desc(rank), FullTextSearch.label)
).label("row_number")
subq = DBSession.query(FullTextSearch) \
.add_columns(row_number).filter(_filter).subquery()
query = DBSession.query(
subq.c.id, subq.c.label, subq.c.params, subq.c.layer_name,
subq.c.the_geom, subq.c.actions
)
query = query.filter(subq.c.row_number <= partitionlimit)
else:
query = DBSession.query(FullTextSearch).filter(_filter)
query = query.order_by(desc(rank))
query = query.order_by(FullTextSearch.label)
query = query.limit(limit)
objs = query.all()
features = []
for o in objs:
properties = {
"label": o.label,
}
if o.layer_name is not None:
properties["layer_name"] = o.layer_name
if o.params is not None:
properties["params"] = o.params
if o.actions is not None:
properties["actions"] = o.actions
if o.actions is None and o.layer_name is not None:
properties["actions"] = [{
"action": "add_layer",
"data": o.layer_name,
}]
if o.the_geom is not None:
geom = to_shape(o.the_geom)
feature = Feature(
id=o.id, geometry=geom,
properties=properties, bbox=geom.bounds
)
features.append(feature)
else:
feature = Feature(
id=o.id, properties=properties
)
features.append(feature)
# TODO: add callback function if provided in self.request, else return geojson
return FeatureCollection(features)
def fulltextsearch(self):
lang = locale_negotiator(self.request)
try:
language = self.languages[lang]
except KeyError:
return HTTPInternalServerError(
detail="{0!s} not defined in languages".format(lang))
if "query" not in self.request.params:
return HTTPBadRequest(detail="no query")
terms = self.request.params.get("query")
maxlimit = self.settings.get("maxlimit", 200)
try:
limit = int(
self.request.params.get("limit",
self.settings.get("defaultlimit", 30)))
except ValueError:
return HTTPBadRequest(detail="limit value is incorrect")
if limit > maxlimit:
limit = maxlimit
try:
partitionlimit = int(self.request.params.get("partitionlimit", 0))
except ValueError:
return HTTPBadRequest(detail="partitionlimit value is incorrect")
if partitionlimit > maxlimit:
partitionlimit = maxlimit
terms_ts = "&".join(
w + ":*" for w in IGNORED_CHARS_RE.sub(" ", terms).split(" ")
if w != "")
_filter = FullTextSearch.ts.op("@@")(func.to_tsquery(
language, terms_ts))
if self.request.user is None or self.request.user.role is None:
_filter = and_(_filter, FullTextSearch.public.is_(True))
else:
_filter = and_(
_filter,
or_(FullTextSearch.public.is_(True),
FullTextSearch.role_id.is_(None),
FullTextSearch.role_id == self.request.user.role.id))
if "interface" in self.request.params:
_filter = and_(
_filter,
or_(
FullTextSearch.interface_id.is_(None),
FullTextSearch.interface_id == self._get_interface_id(
self.request.params["interface"])))
else:
_filter = and_(_filter, FullTextSearch.interface_id.is_(None))
_filter = and_(
_filter,
or_(
FullTextSearch.lang.is_(None),
FullTextSearch.lang == lang,
))
# The numbers used in ts_rank_cd() below indicate a normalization method.
# Several normalization methods can be combined using |.
# 2 divides the rank by the document length
# 8 divides the rank by the number of unique words in document
# By combining them, shorter results seem to be preferred over longer ones
# with the same ratio of matching words. But this relies only on testing it
# and on some assumptions about how it might be calculated
# (the normalization is applied two times with the combination of 2 and 8,
# so the effect on at least the one-word-results is therefore stronger).
rank = func.ts_rank_cd(FullTextSearch.ts,
func.to_tsquery(language, terms_ts), 2 | 8)
if partitionlimit:
# Here we want to partition the search results based on
# layer_name and limit each partition.
row_number = func.row_number().over(
partition_by=FullTextSearch.layer_name,
order_by=(desc(rank),
FullTextSearch.label)).label("row_number")
subq = DBSession.query(FullTextSearch) \
.add_columns(row_number).filter(_filter).subquery()
query = DBSession.query(subq.c.id, subq.c.label, subq.c.params,
subq.c.layer_name, subq.c.the_geom,
subq.c.actions)
query = query.filter(subq.c.row_number <= partitionlimit)
else:
query = DBSession.query(FullTextSearch).filter(_filter)
query = query.order_by(desc(rank))
query = query.order_by(FullTextSearch.label)
query = query.limit(limit)
objs = query.all()
features = []
for o in objs:
properties = {
"label": o.label,
}
if o.layer_name is not None:
properties["layer_name"] = o.layer_name
if o.params is not None:
properties["params"] = o.params
if o.actions is not None:
properties["actions"] = o.actions
if o.actions is None and o.layer_name is not None:
properties["actions"] = [{
"action": "add_layer",
"data": o.layer_name,
}]
if o.the_geom is not None:
geom = to_shape(o.the_geom)
feature = Feature(id=o.id,
geometry=geom,
properties=properties,
bbox=geom.bounds)
features.append(feature)
else:
feature = Feature(id=o.id, properties=properties)
features.append(feature)
# TODO: add callback function if provided in self.request, else return geojson
return FeatureCollection(features)
def test_lang_param(self):
from c2cgeoportal.pyramid_ import locale_negotiator
request = testing.DummyRequest(params=dict(lang="fr"))
lang = locale_negotiator(request)
self.assertEqual(lang, "fr")
def test_lang_param(self):
from c2cgeoportal.pyramid_ import locale_negotiator
request = testing.DummyRequest(params=dict(lang="fr"))
lang = locale_negotiator(request)
self.assertEquals(lang, "fr")
