dossier/store/elastic.py
def keyword_scan(self, query_id=None, query_fc=None, feature_names=None):
        '''Keyword scan for feature collections.

        This performs a keyword scan using the query given. A keyword
        scan searches for FCs with terms in each of the query's indexed
        fields.

        At least one of ``query_id`` or ``query_fc`` must be provided.
        If ``query_fc`` is ``None``, then the query is retrieved
        automatically corresponding to ``query_id``.

        :param str query_id: Optional query id.
        :param query_fc: Optional query feature collection.
        :type query_fc: :class:`dossier.fc.FeatureCollection`
        :param [str] feature_names:
          A list of feature names to retrieve. When ``None``, all
          features are retrieved. Wildcards are allowed.
        :rtype: Iterable of ``(content_id, FC)``
        '''
        it = self._keyword_scan(query_id, query_fc,
                                feature_names=feature_names)
        for hit in it:
            fc = self.fc_from_dict(hit['_source']['fc'])
            yield did(hit['_id']), fc
def keyword_scan(self, query_id=None, query_fc=None, feature_names=None):
        '''Keyword scan for feature collections.

        This performs a keyword scan using the query given. A keyword
        scan searches for FCs with terms in each of the query's indexed
        fields.

        At least one of ``query_id`` or ``query_fc`` must be provided.
        If ``query_fc`` is ``None``, then the query is retrieved
        automatically corresponding to ``query_id``.

        :param str query_id: Optional query id.
        :param query_fc: Optional query feature collection.
        :type query_fc: :class:`dossier.fc.FeatureCollection`
        :param [str] feature_names:
          A list of feature names to retrieve. When ``None``, all
          features are retrieved. Wildcards are allowed.
        :rtype: Iterable of ``(content_id, FC)``
        '''
        it = self._keyword_scan(query_id, query_fc,
                                feature_names=feature_names)
        for hit in it:
            fc = self.fc_from_dict(hit['_source']['fc'])
            yield did(hit['_id']), fc
def keyword_scan ( self , query_id = None , query_fc = None , feature_names = None ) : it = self . _keyword_scan ( query_id , query_fc , feature_names = feature_names ) for hit in it : fc = self . fc_from_dict ( hit [ '_source' ] [ 'fc' ] ) yield did ( hit [ '_id' ] ) , fc
Keyword scan for feature collections.

        This performs a keyword scan using the query given. A keyword
        scan searches for FCs with terms in each of the query's indexed
        fields.

        At least one of ``query_id`` or ``query_fc`` must be provided.
        If ``query_fc`` is ``None``, then the query is retrieved
        automatically corresponding to ``query_id``.

        :param str query_id: Optional query id.
        :param query_fc: Optional query feature collection.
        :type query_fc: :class:`dossier.fc.FeatureCollection`
        :param [str] feature_names:
          A list of feature names to retrieve. When ``None``, all
          features are retrieved. Wildcards are allowed.
        :rtype: Iterable of ``(content_id, FC)``
Keyword scan for feature collections .