Ejemplo n.º 1
0
        def run_requests(requests_: list, provider_, create_event_loop: bool):
            if create_event_loop:
                asyncio.set_event_loop(asyncio.new_event_loop())

            results = queue.Queue()
            done = False

            try:
                with session:
                    provider_.run(requests_, results, self._max_concurrent, progress_bar, timeout=self.__timeout)
            except Exception as e:
                provider_.enqueue(results, ((k, e) for k in self.__pending.keys()))

            while self.__pending and not done:
                done, chunk_results = provider_.drain_queue(results)
                for (risk_key_, priceable_), result in chunk_results:
                    future = self.__pending.pop((risk_key_, priceable_), None)
                    if future is not None:
                        future.set_result(result)

                        if self.__use_cache:
                            PricingCache.put(risk_key_, priceable_, result)

            while self.__pending:
                (risk_key_, _), future = self.__pending.popitem()
                future.set_result(ErrorValue(risk_key_, 'No result returned'))
Ejemplo n.º 2
0
        def run_requests(requests_: list, provider_, create_event_loop: bool):
            if create_event_loop:
                asyncio.set_event_loop(asyncio.new_event_loop())

            results = {}

            try:
                with session:
                    results = provider_.run(requests_,
                                            1000,
                                            progress_bar,
                                            timeout=self.__timeout)
            except Exception as e:
                results = {k: e for k in self.__pending.keys()}
            finally:
                while self.__pending:
                    (risk_key_, priceable_), future = self.__pending.popitem()
                    result = results.get((risk_key_, priceable_))

                    if result is not None:
                        if self.__use_cache:
                            PricingCache.put(risk_key_, priceable_, result)
                    else:
                        result = ErrorValue(risk_key_, 'No result returned')

                    future.set_result(result)
Ejemplo n.º 3
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    def _handle_results(cls, request: RiskRequest,
                        results: Union[Iterable, Exception]) -> dict:
        formatted_results = {}

        if isinstance(results, Exception):
            date_results = [{
                '$type': 'Error',
                'errorString': str(results)
            }] * len(request.pricing_and_market_data_as_of)
            position_results = [date_results] * len(request.positions)
            results = [position_results] * len(request.measures)

        for risk_measure, position_results in zip(request.measures, results):
            for position, date_results in zip(request.positions,
                                              position_results):
                for as_of, date_result in zip(
                        request.pricing_and_market_data_as_of, date_results):
                    handler = result_handlers.get(date_result.get('$type'))
                    risk_key = RiskKey(cls, as_of.pricing_date, as_of.market,
                                       request.parameters, request.scenario,
                                       risk_measure)

                    try:
                        result = handler(
                            date_result, risk_key,
                            position.instrument) if handler else date_result
                    except Exception as e:
                        result = ErrorValue(risk_key, str(e))
                        _logger.error(result)

                    formatted_results[(risk_key, position.instrument)] = result

        return formatted_results
Ejemplo n.º 4
0
Archivo: core.py Proyecto: qg0/gs-quant
    def _handle_results(self, results: dict, request: RiskRequest, error: Optional[str] = 'No result returned'):
        with self.__lock:
            for risk_measure in request.measures:
                # Get each risk measure from from the request and the corresponding positions --> futures dict
                positions_for_measure = self.__futures[(request.scenario, risk_measure)]

                # Get the results for this measure
                position_results = results.pop(risk_measure, {})

                for position in request.positions:
                    # Set the result for this position to the returned value or an error if missing
                    result = position_results.get(position, ErrorValue(self.pricing_key, error=error))
                    if self.__use_cache and not isinstance(result, ErrorValue):
                        # Populate the cache
                        PricingCache.put(position.instrument, risk_measure, result)

                        # Retrieve from the cache - this is used by HistoricalPricingContext. We ensure the cache has
                        # all values (in case some had already been computed) then populate the result as the final step
                        result = PricingCache.get(position.instrument, risk_measure)

                    # Set the result for the future
                    positions_for_measure.pop(position).set_result(result)

                if not positions_for_measure:
                    self.__futures.pop((request.scenario, risk_measure))
Ejemplo n.º 5
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    def _handle_results(cls, request: RiskRequest, results: Iterable) -> dict:
        formatted_results = {}

        pricing_key = PricingKey(
            request.pricing_and_market_data_as_of,
            request.pricing_location.value,
            request.parameters,
            request.scenario
        )

        for measure_idx, position_results in enumerate(results):
            risk_measure = request.measures[measure_idx]

            for position_idx, date_results in enumerate(position_results):
                if len(date_results) != len(pricing_key):
                    raise RuntimeError('Number of results did not match requested days')

                handler = result_handlers.get(date_results[0].get('$type'))
                position = request.positions[position_idx]

                try:
                    date_results = handler(date_results, pricing_key, position.instrument) if handler else date_results
                except Exception as e:
                    error = str(e)
                    date_results = ErrorValue(pricing_key, error)
                    _logger.error(error)

                formatted_results.setdefault(risk_measure, {})[position] = date_results

        return formatted_results
Ejemplo n.º 6
0
Archivo: risk.py Proyecto: qg0/gs-quant
    def _handle_results(cls, request: RiskRequest, results: Iterable) -> dict:
        formatted_results = {}

        pricing_key = PricingKey(
            request.pricing_and_market_data_as_of,
            request.pricing_location.value,
            request.parameters,
            request.scenario
        )

        for measure_idx, position_results in enumerate(results):
            risk_measure = request.measures[measure_idx]
            formatter = Formatters.get(risk_measure) if not request.parameters.raw_results else None
            for position_idx, result in enumerate(position_results):
                position = request.positions[position_idx]

                try:
                    result = formatter(result, pricing_key, position.instrument) if formatter else result
                except Exception as e:
                    error_string = str(e)
                    result = ErrorValue(pricing_key, error_string)
                    _logger.error(error_string)

                formatted_results.setdefault(risk_measure, {})[position] = result

        return formatted_results
Ejemplo n.º 7
0
    def _handle_results(cls, request: RiskRequest, results: Iterable) -> dict:
        formatted_results = {}

        for risk_measure, position_results in zip(request.measures, results):
            for position, date_results in zip(request.positions,
                                              position_results):
                for as_of, date_result in zip(
                        request.pricing_and_market_data_as_of, date_results):
                    handler = result_handlers.get(date_result.get('$type'))

                    # TODO Handle this better
                    market = LiveMarket(request.pricing_location) if isinstance(as_of.market_data_as_of, dt.datetime)\
                        else ClosingMarket(request.pricing_location, as_of.market_data_as_of)

                    risk_key = RiskKey(cls, as_of.pricing_date, market,
                                       request.parameters, request.scenario,
                                       risk_measure)

                    try:
                        result = handler(
                            date_result, risk_key,
                            position.instrument) if handler else date_result
                    except Exception as e:
                        result = ErrorValue(risk_key, str(e))
                        _logger.error(result)

                    formatted_results[(risk_key, position.instrument)] = result

        return formatted_results
Ejemplo n.º 8
0
        def run_request(request: RiskRequest, session: GsSession):
            calc_result = {}

            try:
                with session:
                    calc_result = provider.calc(request)
            except Exception as e:
                for risk_measure in request.measures:
                    measure_results = {}
                    for result_position in risk_request.positions:
                        measure_results[result_position] = ErrorValue(
                            self.pricing_key, str(e))

                    calc_result[risk_measure] = measure_results
            finally:
                self._handle_results(calc_result)