nopaque/app/corpora/CQiWrapper/CQiWrapper.py

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(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']

        # 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']
            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]['left_context_cpos'] = list(range(before_index,
                                                                          cpos_list[0]))
            ordered_matches[key]['right_context_cpos'] = list(range(cpos_list[-1] + 1,
                                                                         after_index + 1))
            all_context_cpos_list += ordered_matches[key]['left_context_cpos']
            all_context_cpos_list += ordered_matches[key]['right_context_cpos']
        # 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']
            infos = []
            for cpos in cpos_list:
                info = {cpos: all_cpos_infos.get(cpos)}
                infos.append(info)
            ordered_matches[key]['match_cpos'] = infos
            try:
                # loops over cpos in ordered_matches[key]['left_context_cpos']
                # 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]['left_context_cpos']:
                    before_context_info = {context_before_cpos:
                                           all_cpos_infos.get(context_before_cpos)}
                    before_context_infos.append(before_context_info)
                ordered_matches[key]['left_context_cpos'] = before_context_infos
            except UnboundLocalError:
                logger.warning('Context before cpos list is empty.')
                pass
            try:
                # loops over cpos in ordered_matches[key]['right_context_cpos']
                # 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]['right_context_cpos']:
                    after_context_info = {context_after_cpos:
                                          all_cpos_infos.get(context_after_cpos)}
                    after_context_infos.append(after_context_info)
                ordered_matches[key]['right_context_cpos'] = 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