"""a query preprocesser to handle quick search shortcuts for cubicweb
:organization: Logilab
:copyright: 2001-2008 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
:contact: http://www.logilab.fr/ -- mailto:contact@logilab.fr
"""
__docformat__ = "restructuredtext en"
import re
from logging import getLogger
from rql import RQLSyntaxError, BadRQLQuery, parse
from rql.nodes import Relation
from cubicweb import Unauthorized
from cubicweb.common.appobject import Component, SingletonComponent
LOGGER = getLogger('cubicweb.magicsearch')
def _get_approriate_translation(translations_found, eschema):
"""return the first (should be the only one) possible translation according
to the given entity type
"""
# get the list of all attributes / relations for this kind of entity
existing_relations = set(eschema.subject_relations())
consistent_translations = translations_found & existing_relations
if len(consistent_translations) == 0:
return None
return consistent_translations.pop()
def translate_rql_tree(rqlst, translations, schema):
"""Try to translate each relation in the RQL syntax tree
:type rqlst: `rql.stmts.Statement`
:param rqlst: the RQL syntax tree
:type translations: dict
:param translations: the reverted l10n dict
:type schema: `cubicweb.schema.Schema`
:param schema: the application's schema
"""
# var_types is used as a map : var_name / var_type
vartypes = {}
# ambiguous_nodes is used as a map : relation_node / (var_name, available_translations)
ambiguous_nodes = {}
# For each relation node, check if it's a localized relation name
# If it's a localized name, then use the original relation name, else
# keep the existing relation name
for relation in rqlst.get_nodes(Relation):
rtype = relation.r_type
lhs, rhs = relation.get_variable_parts()
if rtype == 'is':
try:
etype = translations[rhs.value]
rhs.value = etype
except KeyError:
# If no translation found, leave the entity type as is
etype = rhs.value
# Memorize variable's type
vartypes[lhs.name] = etype
else:
try:
translation_set = translations[rtype]
except KeyError:
pass # If no translation found, leave the relation type as is
else:
# Only one possible translation, no ambiguity
if len(translation_set) == 1:
relation.r_type = iter(translations[rtype]).next()
# More than 1 possible translation => resolve it later
else:
ambiguous_nodes[relation] = (lhs.name, translation_set)
if ambiguous_nodes:
resolve_ambiguities(vartypes, ambiguous_nodes, schema)
def resolve_ambiguities(var_types, ambiguous_nodes, schema):
"""Tries to resolve remaining ambiguities for translation
/!\ An ambiguity is when two different string can be localized with
the same string
A simple example:
- 'name' in a company context will be localized as 'nom' in French
- but ... 'surname' will also be localized as 'nom'
:type var_types: dict
:param var_types: a map : var_name / var_type
:type ambiguous_nodes: dict
:param ambiguous_nodes: a map : relation_node / (var_name, available_translations)
:type schema: `cubicweb.schema.Schema`
:param schema: the application's schema
"""
# Now, try to resolve ambiguous translations
for relation, (var_name, translations_found) in ambiguous_nodes.items():
try:
vartype = var_types[var_name]
except KeyError:
continue
# Get schema for this entity type
eschema = schema.eschema(vartype)
rtype = _get_approriate_translation(translations_found, eschema)
if rtype is None:
continue
relation.r_type = rtype
QUOTED_SRE = re.compile(r'(.*?)(["\'])(.+?)\2')
TRANSLATION_MAPS = {}
def trmap(config, schema, lang):
try:
return TRANSLATION_MAPS[lang]
except KeyError:
assert lang in config.translations, '%s %s' % (lang, config.translations)
tr = config.translations[lang]
langmap = {}
for etype in schema.entities():
etype = str(etype)
langmap[tr(etype).capitalize()] = etype
langmap[etype.capitalize()] = etype
for rtype in schema.relations():
rtype = str(rtype)
langmap.setdefault(tr(rtype).lower(), set()).add(rtype)
langmap.setdefault(rtype, set()).add(rtype)
TRANSLATION_MAPS[lang] = langmap
return langmap
class BaseQueryProcessor(Component):
__abstract__ = True
id = 'magicsearch_processor'
# set something if you want explicit component search facility for the
# component
name = None
def process_query(self, uquery, req):
args = self.preprocess_query(uquery, req)
try:
return req.execute(*args)
finally:
# rollback necessary to avoid leaving the connection in a bad state
req.cnx.rollback()
def preprocess_query(self, uquery, req):
raise NotImplementedError()
class DoNotPreprocess(BaseQueryProcessor):
"""this one returns the raw query and should be placed in first position
of the chain
"""
name = 'rql'
priority = 0
def preprocess_query(self, uquery, req):
return uquery,
class QueryTranslator(BaseQueryProcessor):
""" parses through rql and translates into schema language entity names
and attributes
"""
priority = 2
def preprocess_query(self, uquery, req):
try:
rqlst = parse(uquery, print_errors=False)
except (RQLSyntaxError, BadRQLQuery), err:
return uquery,
schema = self.vreg.schema
# rql syntax tree will be modified in place if necessary
translate_rql_tree(rqlst, trmap(self.config, schema, req.lang), schema)
return rqlst.as_string(),
class QSPreProcessor(BaseQueryProcessor):
"""Quick search preprocessor
preprocessing query in shortcut form to their RQL form
"""
priority = 4
def preprocess_query(self, uquery, req):
""""""
args = None
self.req = req
try:
# Process as if there was a quoted part
args = self._quoted_words_query(uquery)
## No quoted part
except BadRQLQuery:
words = uquery.split()
if len(words) == 1:
args = self._one_word_query(*words)
elif len(words) == 2:
args = self._two_words_query(*words)
elif len(words) == 3:
args = self._three_words_query(*words)
else:
args = self._multiple_words_query(words)
return args
def _get_entity_type(self, word):
"""check if the given word is matching an entity type, return it if
it's the case or raise BadRQLQuery if not
"""
etype = word.capitalize()
try:
return trmap(self.config, self.vreg.schema, self.req.lang)[etype]
except KeyError:
raise BadRQLQuery('%s is not a valid entity name' % etype)
def _get_attribute_name(self, word, eschema):
"""check if the given word is matching an attribute of the given entity type,
return it normalized if found or return it untransformed else
"""
"""Returns the attributes's name as stored in the DB"""
# Need to convert from unicode to string (could be whatever)
rtype = word.lower()
# Find the entity name as stored in the DB
translations = trmap(self.config, self.vreg.schema, self.req.lang)
try:
translations = translations[rtype]
except KeyError:
raise BadRQLQuery('%s is not a valid attribute for %s entity type'
% (word, eschema))
rtype = _get_approriate_translation(translations, eschema)
if rtype is None:
raise BadRQLQuery('%s is not a valid attribute for %s entity type'
% (word, eschema))
return rtype
def _one_word_query(self, word):
"""Specific process for one word query (case (1) of preprocess_rql)
"""
# if this is an integer, then directly go to eid
try:
eid = int(word)
return 'Any X WHERE X eid %(x)s', {'x': eid}, 'x'
except ValueError:
etype = self._get_entity_type(word)
return '%s %s' % (etype, etype[0]),
def _complete_rql(self, searchstr, etype, rtype=None, var=None, searchattr=None):
searchop = ''
if '%' in searchstr:
if rtype:
possible_etypes = self.schema.rschema(rtype).objects(etype)
else:
possible_etypes = [self.schema.eschema(etype)]
if searchattr or len(possible_etypes) == 1:
searchattr = searchattr or possible_etypes[0].main_attribute()
searchop = 'LIKE '
searchattr = searchattr or 'has_text'
if var is None:
var = etype[0]
return '%s %s %s%%(text)s' % (var, searchattr, searchop)
def _two_words_query(self, word1, word2):
"""Specific process for two words query (case (2) of preprocess_rql)
"""
etype = self._get_entity_type(word1)
# this is a valid RQL query : ("Person X", or "Person TMP1")
if len(word2) == 1 and word2.isupper():
return '%s %s' % (etype, word2),
# else, suppose it's a shortcut like : Person Smith
rql = '%s %s WHERE %s' % (etype, etype[0], self._complete_rql(word2, etype))
return rql, {'text': word2}
def _three_words_query(self, word1, word2, word3):
"""Specific process for three words query (case (3) of preprocess_rql)
"""
etype = self._get_entity_type(word1)
eschema = self.schema.eschema(etype)
rtype = self._get_attribute_name(word2, eschema)
# expand shortcut if rtype is a non final relation
if not self.schema.rschema(rtype).is_final():
return self._expand_shortcut(etype, rtype, word3)
if '%' in word3:
searchop = 'LIKE '
else:
searchop = ''
rql = '%s %s WHERE %s' % (etype, etype[0],
self._complete_rql(word3, etype, searchattr=rtype))
return rql, {'text': word3}
def _multiple_words_query(self, words):
"""specific process for more than 3 words query"""
return ' '.join(words),
def _expand_shortcut(self, etype, rtype, searchstr):
"""Expands shortcut queries on a non final relation to use has_text or
the main attribute (according to possible entity type) if '%' is used in the
search word
Transforms : 'person worksat IBM' into
'Personne P WHERE P worksAt C, C has_text "IBM"'
"""
# check out all possilbe entity types for the relation represented
# by 'rtype'
mainvar = etype[0]
searchvar = mainvar + '1'
rql = '%s %s WHERE %s %s %s, %s' % (etype, mainvar, # Person P
mainvar, rtype, searchvar, # P worksAt C
self._complete_rql(searchstr, etype,
rtype=rtype, var=searchvar))
return rql, {'text': searchstr}
def _quoted_words_query(self, ori_rql):
"""Specific process when there's a "quoted" part
"""
m = QUOTED_SRE.match(ori_rql)
# if there's no quoted part, then no special pre-processing to do
if m is None:
raise BadRQLQuery("unable to handle request %r" % ori_rql)
left_words = m.group(1).split()
quoted_part = m.group(3)
# Case (1) : Company "My own company"
if len(left_words) == 1:
try:
word1 = left_words[0]
return self._two_words_query(word1, quoted_part)
except BadRQLQuery, error:
raise BadRQLQuery("unable to handle request %r" % ori_rql)
# Case (2) : Company name "My own company";
elif len(left_words) == 2:
word1, word2 = left_words
return self._three_words_query(word1, word2, quoted_part)
# return ori_rql
raise BadRQLQuery("unable to handle request %r" % ori_rql)
class FullTextTranslator(BaseQueryProcessor):
priority = 10
name = 'text'
def preprocess_query(self, uquery, req):
"""suppose it's a plain text query"""
return 'Any X WHERE X has_text %(text)s', {'text': uquery}
class MagicSearchComponent(SingletonComponent):
id = 'magicsearch'
def __init__(self, req, rset=None):
super(MagicSearchComponent, self).__init__(req, rset)
processors = []
self.by_name = {}
for processorcls in self.vreg.registry_objects('components',
'magicsearch_processor'):
# instantiation needed
processor = processorcls()
processors.append(processor)
if processor.name is not None:
assert not processor.name in self.by_name
self.by_name[processor.name.lower()] = processor
self.processors = sorted(processors, key=lambda x: x.priority)
def process_query(self, uquery, req):
assert isinstance(uquery, unicode)
try:
procname, query = uquery.split(':', 1)
proc = self.by_name[procname.strip().lower()]
uquery = query.strip()
except:
# use processor chain
unauthorized = None
for proc in self.processors:
try:
return proc.process_query(uquery, req)
# FIXME : we don't want to catch any exception type here !
except (RQLSyntaxError, BadRQLQuery):
pass
except Unauthorized, ex:
unauthorized = ex
continue
except Exception, ex:
LOGGER.debug('%s: %s', ex.__class__.__name__, ex)
continue
if unauthorized:
raise unauthorized
else:
# let exception propagate
return proc.process_query(uquery, req)
raise BadRQLQuery(req._('sorry, the server is unable to handle this query'))
# Do not make a strong dependency on NlpTools
try:
from NlpTools.rqltools.client import RQLClient
except ImportError:
LOGGER.info('could not import RQLClient (NlpTools)')
else:
try:
from Pyro.errors import NamingError
except ImportError:
LOGGER.warning("pyro is not installed, can't try to connect to nlp server")
else:
try:
class NLPProcessor(BaseQueryProcessor):
priority = 8
nlp_agent = RQLClient('ivan')
def preprocess_query(self, uquery, req):
try:
answer = self.nlp_agent.get_translation(uquery)
if not answer:
raise BadRQLQuery(uquery)
return answer or uquery,
except Exception, ex:
LOGGER.exception(str(ex))
return uquery,
except NamingError: # NlpTools available but no server registered
LOGGER.warning('could not find any RQLServer object named "ivan"')