def parse_market_classifier(elem):
return {
'Markets': [{
**get_attribs(e),
**{
'Selections': parse_classifier(e, 'Selections')
}
} for e in elem if get_tag(e) == 'Markets']
}
def parse_selection_trades_classifier(elem):
return [{
**get_attribs(e),
**{
'_value_1': [{
'TradeItems': t
} for t in parse_classifier(e, 'TradeItems')]
}
} for e in elem if get_tag(e) == 'SelectionTrades']
def parse_selection_sequence_classifier(elem):
return [{
**get_attribs(e),
**{
'_value_1': [{
'SettlementInformation': s_info
} for s_info in parse_classifier(e, 'SettlementInformation')]
}
} for e in elem if get_tag(e) == 'Selections']
def parse_event_classfiers(elem):
return [{
**get_attribs(e),
**parse_market_classifier(e),
**{
'EventClassifiers': [{
**get_attribs(t),
**parse_market_classifier(t),
**{
'EventClassifiers': [{
**get_attribs(c),
**parse_market_classifier(c),
**{
'EventClassifiers': [{
**get_attribs(g),
**parse_market_classifier(g)
} for g in c if get_tag(g) == 'EventClassifiers']
}
} for c in t if get_tag(c) == 'EventClassifiers']
}
} for t in e if get_tag(t) == 'EventClassifiers']
}
} for e in elem if get_tag(e) == 'EventClassifiers']
def err_prices(response):
err_data = [{
**get_attribs(mkt_prc),
**{
"Selections": [{
**get_attribs(sel),
**{
'_value_1': [{
get_tag(prc): get_attribs(prc)
} for prc in sel]
}
} for sel in mkt_prc]
}
} for mkt_prc in response.get('_raw_elements', [])]
response['MarketPrices'] = [response['MarketPrices']] + err_data
return response
def parse_classifier(elem, name):
return [get_attribs(e) for e in elem if get_tag(e) == name]