mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-11-15 09:15:41 +00:00
242 lines
10 KiB
Python
242 lines
10 KiB
Python
from CQiClient import CQiClient
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from CQi import CONST_FIELD_MATCH, CONST_FIELD_MATCHEND
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import re
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# from app import logger # only works if imported into opaque web app
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class CQiWrapper(CQiClient):
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"""
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CQIiWrapper object
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High level wrapper that groups and renames some functions of CQiClient
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for ease of use. Also structures recieved data into python dictionaries.
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Keyword arguments:
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host -- host IP adress or hostname wher the cqp server is running
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port -- port of the cqp server
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username -- username used to connect to the cqp server
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password -- password of the user to connect to the cqp server
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"""
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SUBCORPUS_NAMES = []
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def __init__(self, host='127.0.0.1', port=4877, username='opaque',
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password='opaque'):
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super(CQiWrapper, self).__init__(host=host, port=port)
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self.username = username
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self.password = password
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def connect(self):
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"""
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Connect with CQP server
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Connects via socket to the CQP server using the given username and
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password from class initiation.
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"""
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self.ctrl_connect(self.username, self.password)
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def __create_attribute_strings(self):
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"""
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Creates all needed attribute strings to query for word, lemma etc. in
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the given corpus.
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For example: CORPUS_NAME.word to query words
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"""
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p_attrs = self.corpus_positional_attributes(self.corpus_name)
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struct_attrs = self.corpus_structural_attributes(self.corpus_name)
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self.attr_strings = {}
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self.attr_strings['positional_attrs'] = {}
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self.attr_strings['struct_attrs'] = {}
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for p_attr in p_attrs:
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self.attr_strings['positional_attrs'][p_attr] = (self.corpus_name
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+ '.'
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+ p_attr)
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for struct_attr in struct_attrs:
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self.attr_strings['struct_attrs'][struct_attr] = (self.corpus_name
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+ '.'
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+ struct_attr)
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# logger.warning(('All positional and '
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# 'structural attributes: {}').format(self.attr_strings))
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def select_corpus(self, corpus_name):
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if corpus_name in self.corpus_list_coprora():
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self.corpus_name = corpus_name
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self.__create_attribute_strings()
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# logger.warning('{} does exist.'.format(corpus_name))
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else:
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# logger.warning('{} does not exist.'.format(corpus_name))
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pass
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def disconnect(self):
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"""
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Disconnect from CQP server
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Disconnects from the CQP server. Closes used socket after disconnect.
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"""
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self.ctrl_bye()
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self.connection.close()
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# logger.warning('Disconnected from cqp server.')
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def query_subcorpus(self, query, result_subcorpus_name='Query-results'):
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"""
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Create subcorpus
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Input query will be used to create a subcorpus holding all cpos match
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positions for that query.
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Keyword arguments:
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result_subcorpus_name -- user set name of the subcorpus which holds all
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cpos match positions, produced by the query
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query -- query written in cqp query language
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"""
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self.cqp_query(self.corpus_name, result_subcorpus_name, query)
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self.result_subcorpus = (self.corpus_name
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+ ':'
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+ result_subcorpus_name)
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self.SUBCORPUS_NAMES.append(self.result_subcorpus)
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self.nr_matches = self.cqp_subcorpus_size(self.result_subcorpus)
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# logger.warning('Nr of all matches is: {}'.format(self.nr_matches))
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def show_subcorpora(self):
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"""
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Show all subcorpora currently saved by the cqp server.
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"""
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return self.cqp_list_subcorpora(self.corpus_name)
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def show_query_results(self,
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context_len=10,
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result_len=1000):
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"""
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Show query results
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Shows the actual matched strings produce by the query. Uses the cpos
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match indexes to grab those strings. saves them into an orderd
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dictionary. Also saves coresponding tags, lemmas and context. Gets those
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informations using the corresponding cpos.
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Keyword arguments:
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context_len -- defines how many words before and after a match will be
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shown (default 10)
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result_len -- defines how many results are actually grabbed
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"""
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self.context_len = context_len
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self.corpus_max_len = self.cl_attribute_size(
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self.attr_strings['positional_attrs']['word']
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)
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self.nr_matches = min(result_len, self.nr_matches)
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if self.nr_matches == 0:
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# logger.warning('Query resulted in 0 matches.')
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return None
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else:
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# Get match cpos boundries
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# match_boundries shows the start and end cpos of one match as a
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# pair of cpositions
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# [(1355, 1357), (1477, 1479)] Example for two boundry pairs
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match_boundaries = zip(self.cqp_dump_subcorpus(self.result_subcorpus,
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CONST_FIELD_MATCH,
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0,
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self.nr_matches - 1),
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self.cqp_dump_subcorpus(self.result_subcorpus,
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CONST_FIELD_MATCHEND,
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0,
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self.nr_matches - 1))
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# Generate all cpos between match boundries including start and end boundries.
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# Also generate cpos for left and right context.
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# Save those cpos into dict as lists for the keys 'lc', 'hit' and 'rc'
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# Also collect all cpos together in one list for the final request of
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# all cpos informations
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all_matches = []
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all_cpos = []
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for start, end in match_boundaries:
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lc_cpos = list(range(max([0, start - self.context_len]), start))
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lc = {'lc': lc_cpos}
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match_cpos = list(range(start, end + 1))
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match = {'hit': match_cpos}
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rc_cpos = list(range(end + 1, min([self.corpus_max_len, end + self.context_len + 1])))
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rc = {'rc': rc_cpos}
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lc.update(match)
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lc.update(rc)
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all_cpos.extend(lc_cpos + match_cpos + rc_cpos)
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all_matches.append(lc)
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# print(all_matches)
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# print(all_cpos)
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# Get all sentences IDs for all above collected cpos in all_cpos
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s_ids = self.cl_cpos2struc('UTOPIEN.s', all_cpos) # CHANGE to CORPUS.s will always be like this in nopaque
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# Get all cpos for all sneteces boundries
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s_lookup = {}
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for s_id in set(s_ids):
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s_start, s_end = self.cl_struc2cpos('UTOPIEN.s', s_id) # CHANGE to CORPUS.s will always be like this in nopaque
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# print(s_start, s_end)
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s_cpos = range(s_start, s_end)
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s_lookup.update({s_id: list(s_cpos)})
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# print(list(s_cpos))
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all_cpos.extend(s_cpos)
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all_cpos = list(set(all_cpos)) # get rid of cpos duplicates
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# Get cpos informations like CORPUS_NAME.word or CORPUS_NAME.lemma for
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# all cpos entries in all_cpos_list
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# Also saves these informations into self.results dict
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all_cpos_infos, text_lookup = self.get_cpos_infos(all_cpos)
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self.results = {'matches': all_matches, 'cpos_lookup': all_cpos_infos,
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's_lookup': s_lookup, 'text_lookup': text_lookup}
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return self.results
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# print(self.results)
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def get_cpos_infos(self, all_cpos):
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'''
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Get cpos informations like CORPUS_NAME.word or CORPUS_NAME.lemma for
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all cpos entries specified in the parameter all_cpos.
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'''
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cpos_infos = {}
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for p_attr_key in self.attr_strings['positional_attrs'].keys():
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match_strs = self.cl_cpos2str(self.attr_strings['positional_attrs'][p_attr_key], all_cpos)
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cpos_infos[p_attr_key] = match_strs
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tmp_s_info = []
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tmp_text_info = []
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text_lookup = {}
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tmp_dict = {}
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for struct_attr_key in self.attr_strings['struct_attrs'].keys():
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check = self.attr_strings['struct_attrs'][struct_attr_key]
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if check == 'UTOPIEN.s':
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struct_ids = self.cl_cpos2struc(check, all_cpos)
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for id in struct_ids:
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tmp_s_info.append({struct_attr_key: id})
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elif check == 'UTOPIEN.entry':
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struct_ids = self.cl_cpos2struc(check, all_cpos)
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for id in struct_ids:
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tmp_text_info.append({struct_attr_key: id})
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else:
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struct_ids = struct_ids = self.cl_cpos2struc(check, all_cpos)
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struct_values = self.cl_struc2str(self.attr_strings['struct_attrs'][struct_attr_key], struct_ids)
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for value in struct_values:
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for id in struct_ids:
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tmp_dict.update({id: {struct_attr_key: value}})
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print(tmp_dict)
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print(text_lookup)
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# struct_entry = self.cl_cpos2struc(self.attr_strings['struct_attrs'][struct_attr_key], all_cpos)
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# has_value = self.corpus_structural_attribute_has_values(self.attr_strings['struct_attrs'][struct_attr_key])
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# if has_value:
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# match_strs = self.cl_struc2str(self.attr_strings['struct_attrs'][struct_attr_key], struct_entry)
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# elif self.attr_strings['struct_attrs'][struct_attr_key] == 'CORPUS.s':
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# pass
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# else:
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# match_strs = [None for i in struct_entry]
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# cpos_infos[struct_attr_key] = zip(struct_entry, match_strs)
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tmp_list = []
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attr_key_list = []
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for key in cpos_infos.keys():
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tmp_list.append(cpos_infos[key])
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attr_key_list.append(key)
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joined_cpos_infos = zip(all_cpos, *tmp_list)
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dict_cpos_infos = {}
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for info in joined_cpos_infos:
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dict_cpos_infos[info[0]] = dict(zip(attr_key_list, info[1:]))
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for key, s_id, text_id in zip(dict_cpos_infos.keys(), tmp_s_info, tmp_text_info):
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dict_cpos_infos[key].update(s_id)
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dict_cpos_infos[key].update(text_id)
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return dict_cpos_infos, text_lookup
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