nopaque/app/corpora/CQiWrapper/CQiWrapper.py
2019-11-19 15:21:42 +01:00

249 lines
12 KiB
Python

from .CQiClient import CQiClient
from .CQi import CONST_FIELD_MATCH, CONST_FIELD_MATCHEND
import collections
from app import logger # only works if imported into opaque web app
class CQiWrapper(CQiClient):
"""
CQIiWrapper object
High level wrapper that groups and renames some functions of CQiClient
for ease of use. Also structures recieved data into python dictionaries.
Keyword arguments:
host -- host IP adress or hostname wher the cqp server is running
port -- port of the cqp server
username -- username used to connect to the cqp server
password -- password of the user to connect to the cqp server
"""
SUBCORPUS_NAMES = []
def __init__(self, host='127.0.0.1', port=4877, username='opaque',
password='opaque'):
super(CQiWrapper, self).__init__(host=host, port=port)
self.username = username
self.password = password
def connect(self):
"""
Connect with CQP server
Connects via socket to the CQP server using the given username and
password from class initiation.
"""
self.ctrl_connect(self.username, self.password)
def __create_attribute_strings(self):
"""
Creates all needed attribute strings to query for word, lemma etc. in
the given corpus.
For example: CORPUS_NAME.word to query words
"""
p_attrs = self.corpus_positional_attributes(self.corpus_name)
struct_attrs = self.corpus_structural_attributes(self.corpus_name)
self.attr_strings = {}
self.attr_strings['positional_attrs'] = {}
self.attr_strings['struct_attrs'] = {}
for p_attr in p_attrs:
self.attr_strings['positional_attrs'][p_attr] = (self.corpus_name
+ '.'
+ p_attr)
for struct_attr in struct_attrs:
self.attr_strings['struct_attrs'][struct_attr] = (self.corpus_name
+ '.'
+ struct_attr)
logger.warning(('All positional and '
'structural attributes: {}').format(self.attr_strings))
def select_corpus(self, corpus_name):
if corpus_name in self.corpus_list_coprora():
self.corpus_name = corpus_name
self.__create_attribute_strings()
logger.warning('{} does exist.'.format(corpus_name))
else:
logger.warning('{} does not exist.'.format(corpus_name))
pass
def disconnect(self):
"""
Disconnect from CQP server
Disconnects from the CQP server. Closes used socket after disconnect.
"""
self.ctrl_bye()
self.connection.close()
logger.warning('Disconnected from cqp server.')
def query_subcorpus(self, query, result_subcorpus_name='Query-results'):
"""
Create subcorpus
Input query will be used to create a subcorpus holding all cpos match
positions for that query.
Keyword arguments:
result_subcorpus_name -- user set name of the subcorpus which holds all
cpos match positions, produced by the query
query -- query written in cqp query language
"""
self.cqp_query(self.corpus_name, result_subcorpus_name, query)
self.result_subcorpus = (self.corpus_name
+ ':'
+ result_subcorpus_name)
self.SUBCORPUS_NAMES.append(self.result_subcorpus)
self.nr_matches = self.cqp_subcorpus_size(self.result_subcorpus)
logger.warning('Nr of all matches is: {}'.format(self.nr_matches))
def show_subcorpora(self):
"""
Show all subcorpora currently saved by the cqp server.
"""
return self.cqp_list_subcorpora(self.corpus_name)
def show_query_results(self,
context_len=10,
result_len=1000):
"""
Show query results
Shows the actual matched strings produce by the query. Uses the cpos
match indexes to grab those strings. saves them into an orderd
dictionary. Also saves coresponding tags, lemmas and context. Gets those
informations using the corresponding cpos.
Keyword arguments:
context_len -- defines how many words before and after a match will be
shown (default 10)
result_len -- defines how many results are actually grabbed
"""
self.context_len = context_len
self.corpus_max_len = self.cl_attribute_size(
self.attr_strings['positional_attrs']['word']
)
self.nr_matches = min(result_len, self.nr_matches)
if self.nr_matches == 0:
logger.warning('Query resulted in 0 matches.')
return None
else:
# Get match cpos boundries
# match_boundries shows the start and end cpos of one match as a
# pair of cpositions
# [(1355, 1357), (1477, 1479)] Example for two boundry pairs
match_boundaries = zip(self.cqp_dump_subcorpus(self.result_subcorpus,
CONST_FIELD_MATCH,
0,
self.nr_matches - 1),
self.cqp_dump_subcorpus(self.result_subcorpus,
CONST_FIELD_MATCHEND,
0,
self.nr_matches - 1))
# Generate all cpos between boundries including start and end boundries
# Save them as list into on match entry at serial number 'i'
ordered_matches = collections.OrderedDict()
for i, match_pair in enumerate(match_boundaries):
ordered_matches[i] = ({'match_cpos_list':
list(range(match_pair[0],
match_pair[1] + 1))})
# Saves cpos form all match entries into one list
all_cpos_list = []
for key in ordered_matches.keys():
all_cpos_list += ordered_matches[key]['match_cpos_list']
# Saves all cpos from before and after context into the list:
# all_context_cpos_list
all_context_cpos_list = []
for key in ordered_matches.keys():
cpos_list = ordered_matches[key]['match_cpos_list']
before_index = max([0, cpos_list[0] - self.context_len])
after_index = min([self.corpus_max_len,
cpos_list[-1] + self.context_len])
ordered_matches[key]['context_before_cpos_list'] = list(range(before_index,
cpos_list[0]))
ordered_matches[key]['context_after_cpos_list'] = list(range(cpos_list[-1] + 1,
after_index + 1))
all_context_cpos_list += ordered_matches[key]['context_before_cpos_list']
all_context_cpos_list += ordered_matches[key]['context_after_cpos_list']
# Combines all_cpos_list with all_context_cpos_list as a sorted set
all_cpos_list += all_context_cpos_list
all_cpos_list = sorted(list(set(all_cpos_list)))
# Get cpos informations like CORPUS_NAME.word or CORPUS_NAME.lemma for
# all cpos entries in all_cpos_list
# Also saves these informations into the ordered_matches dict
all_cpos_infos = self.get_cpos_infos(all_cpos_list)
for key in ordered_matches.keys():
# loops over cpos in cpos_list which holds all match cpos
# Replaces one cpos with the corresponding cpos information created
# by self.get_cpos_infos(all_cpos_list)
cpos_list = ordered_matches[key]['match_cpos_list']
infos = []
for cpos in cpos_list:
info = {cpos: all_cpos_infos.get(cpos)}
infos.append(info)
ordered_matches[key]['match_cpos_list'] = infos
try:
# loops over cpos in ordered_matches[key]['context_before_cpos_list']
# which holds all cpos of the before context
# Replaces one cpos with the corresponding cpos information created
# by self.get_cpos_infos(all_cpos_list)
before_context_infos = []
for context_before_cpos in ordered_matches[key]['context_before_cpos_list']:
before_context_info = {context_before_cpos:
all_cpos_infos.get(context_before_cpos)}
before_context_infos.append(before_context_info)
ordered_matches[key]['context_before_cpos_list'] = before_context_infos
except UnboundLocalError:
logger.warning('Context before cpos list is empty.')
pass
try:
# loops over cpos in ordered_matches[key]['context_after_cpos_list']
# which holds all cpos of the before context
# Replaces one cpos with the corresponding cpos information created
# by self.get_cpos_infos(all_cpos_list)
after_context_infos = []
for context_after_cpos in ordered_matches[key]['context_after_cpos_list']:
after_context_info = {context_after_cpos:
all_cpos_infos.get(context_after_cpos)}
after_context_infos.append(after_context_info)
ordered_matches[key]['context_after_cpos_list'] = after_context_infos
except UnboundLocalError:
logger.warning('Context after cpos list is empty.')
pass
return ordered_matches
def get_cpos_infos(self, all_cpos):
'''
Get cpos informations like CORPUS_NAME.word or CORPUS_NAME.lemma for
all cpos entries specified in the parameter all_cpos.
'''
cpos_infos = {}
for key in self.attr_strings.keys():
if key == 'positional_attrs':
for p_attr_key in self.attr_strings[key].keys():
match_strs = self.cl_cpos2str(self.attr_strings[key][p_attr_key],
all_cpos)
cpos_infos[p_attr_key] = match_strs
elif key == 'struct_attrs':
for struct_attr_key in self.attr_strings[key].keys():
struct_entry = self.cl_cpos2struc(self.attr_strings[key][struct_attr_key],
all_cpos)
has_value = self.corpus_structural_attribute_has_values(self.attr_strings[key][struct_attr_key])
if has_value:
match_strs = self.cl_struc2str(self.attr_strings[key][struct_attr_key], struct_entry)
else:
match_strs = [None for i in struct_entry]
cpos_infos[struct_attr_key] = zip(struct_entry, match_strs)
tmp_list = []
attr_key_list = []
for key in cpos_infos.keys():
tmp_list.append(cpos_infos[key])
attr_key_list.append(key)
joined_cpos_infos = zip(all_cpos, *tmp_list)
dict_cpos_infos = {}
for info in joined_cpos_infos:
dict_cpos_infos[info[0]] = dict(zip(attr_key_list, info[1:]))
return dict_cpos_infos