Exemplo n.º 1
0
    def mergein_instrumentdata_list(cls, client, option_positions):
        ids = cls._extract_ids(option_positions)
        idatas = Option.fetch_list(client, ids)

        results = []
        for op in option_positions:
            idata = [x for x in idatas if x['url'] == op['instrument']][0]
            # there is an overlap in keys,
            # {'chain_symbol', 'url', 'type', 'created_at', 'id',
            #    'updated_at', 'chain_id'}
            # @TODO this is ugly. let's fix it later
            # alternative method,
            #   wanted_keys = ['strike_price']
            #   idata_subset = \
            #       dict((k, idata[k]) for k in wanted_keys if k in idata)
            merge_me = {
                "option_type": idata["type"],
                "strike_price": idata["strike_price"],
                "expiration_date": idata["expiration_date"],
                "min_ticks": idata["min_ticks"]
            }
            merged_dict = dict(list(op.items()) + list(merge_me.items()))
            results.append(merged_dict)

        return results
Exemplo n.º 2
0
 def mergein_instrumentdata_list(cls, client, option_events):
     results = []
     ids = [util.get_last_path(oe['option']) for oe in option_events]
     idatas = Option.fetch_by_ids(client, ids)
     for oe in option_events:
         idata = [x for x in idatas if x['url'] == oe['option']][0]
         merge_me = {
             "option_type": idata["type"],
             "symbol": idata["chain_symbol"]
         }
         merged_dict = dict(list(oe.items()) + list(merge_me.items()))
         results.append(merged_dict)
     return results