我们从Python开源项目中,提取了以下1个代码示例,用于说明如何使用sqlalchemy.func.to_tsvector()。
def handle_info_json(self, model, info, fulltextsearch=None): """Handle info JSON query filter.""" clauses = [] headlines = [] order_by_ranks = [] if '::' in info: pairs = info.split('|') for pair in pairs: if pair != '': k,v = pair.split("::") if fulltextsearch == '1': vector = _entity_descriptor(model, 'info')[k].astext clause = func.to_tsvector(vector).match(v) clauses.append(clause) if len(headlines) == 0: headline = func.ts_headline(self.language, vector, func.to_tsquery(v)) headlines.append(headline) order = func.ts_rank_cd(func.to_tsvector(vector), func.to_tsquery(v), 4).label('rank') order_by_ranks.append(order) else: clauses.append(_entity_descriptor(model, 'info')[k].astext == v) else: info = json.dumps(info) clauses.append(cast(_entity_descriptor(model, 'info'), Text) == info) return clauses, headlines, order_by_ranks