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How to use _process_records method in localstack

Best Python code snippet using localstack_python

juchao_info.py

Source:juchao_info.py

...133        datas_items = self.process_records(datas_records, 1127)134        for items in (zuixin_items, stock_items, fund_items, datas_items):135            save_num = self._batch_save(self.spider_client, items, self.table_name, self.fields)136    # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -137    def _process_records(self, records, type_code):138        for record in records:139            item = dict()140            pub_date = record.get("DECLAREDATE")141            if not pub_date:142                pub_date = record.get("RECTIME")143            item['PubDatetime'] = pub_date  # åå¸æ¶é´144            item['SecuCode'] = record.get("SECCODE")  # è¯å¸ä»£ç 145            item['Title'] = record.get("F001V")  # èµè®¯æ é¢146            item['InnerType'] = record.get("F003V")   # èµè®¯ç±»å«147            item['Content'] = record.get("F002V")   # èµè®¯æè¦148            # å¢å åå¹¶è¡¨åæ®µ149            item['DupField'] = "{}_{}_{}".format(self.table_code, item['SecuCode'], item['Title'])150            item['MedName'] = self.name151            item['OrgMedName'] = self.name152            item['OrgTableCode'] = self.table_code153            self._save(self.spider_client, item, self.merge_table, self.merge_fields)154    def run(self):155        self._spider_init()156        zuixin_records = self.get_list(self.zuixin_url)157        self._process_records(zuixin_records, 1128)158        stock_records = self.get_list(self.stock_url)159        self._process_records(stock_records, 1078)160        fund_records = self.get_list(self.fund_url)161        self._process_records(fund_records, 1126)162        datas_records = self.get_list(self.datas_url)163        self._process_records(datas_records, 1127)164    def trans_history(self):165        self._spider_init()166        for i in range(1000):    # TODO167            trans_sql = '''select pub_date as PubDatetime,\168code as SecuCode, \169title as Title,\170category as InnerType,\171summary as Content, \172CREATETIMEJZ as CreateTime, \173UPDATETIMEJZ as UpdateTime \174from {} limit {}, 1000; '''.format(self.table_name, i*1000)175            datas = self.spider_client.select_all(trans_sql)176            print(len(datas))177            if not datas:...

kinesis_records.py

Source:kinesis_records.py

...38            data_in_bytes = base64.b64decode(data)39            data_decoded = data_in_bytes.decode("utf-8")40            data_dict = json.loads(data_decoded)41            self._data.append(data_dict)42        return self._process_records()43    def _process_records(self):44        result = False45        try:46            mindsphere_event_connector = MindSphereEventConnector()47            mindsphere_event_connector.getHeaders()48            events_counter = 049            for record in self._data:50                if not "uniqueDeviceId" in record:51                    print(52                        "Error: kinesis_records: _process_records: uniqueDeviceId is not found. skipping record...")53                    continue54                beacon_id = record["uniqueDeviceId"]55                # if not "beaconName" in record:56                #     print(57                #         "Error: kinesis_records: _process_records: beaconName is not found. skipping record...")...

BingoElastic.py

Source:BingoElastic.py

...60            indigo_session=self.indigo,61            limit=5000,62            options=options,63        )64        return self._process_records(records)65    @catch_indigo_exception(catch_error=True)66    def substructure(67        self, molecule: IndigoObject, target_function: str, options: str = ""68    ):69        query_mol = self.indigo.loadQueryMolecule(molecule.rawData())70        query_mol.aromatize()71        records = self.repo.filter(72            query_subject=query_mol,73            indigo_session=query_mol._session,74            limit=5000,75            options=options,76        )77        return self._process_records(records)78    @catch_indigo_exception(catch_error=True)79    def similarity(80        self, molecule: IndigoObject, target_function: str, sim_type, options: str81    ):82        min_sim, max_sim = options.split(", ")83        min_sim, max_sim = float(min_sim), float(max_sim)84        if sim_type.startswith("euclid"):85            sim_type = "euclid"86        compound = self.indigo.loadMolecule(molecule.rawData())87        indigo_record = IndigoRecord(indigo_object=compound)88        alg = getattr(SimilarityMatch, sim_type)(indigo_record, min_sim)89        records = self.repo.filter(query_subject=alg, limit=5000)90        return self._process_records(records)91    def _process_records(self, records):92        result = []93        for record in records:94            if record:95                result.append(record.as_dict()["index"])96        return result97    def drop(self):98        logger.info(f"Dropping {self.dbms} repository")...

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