Python get_time_range_for_mode_inference Beispiele

Beispiel #1

Datei: pipeline.py Projekt: e-mission/e-mission-server

def predict_mode(user_id):
    time_query = epq.get_time_range_for_mode_inference(user_id)
    try:
        mip = ModeInferencePipeline()
        mip.user_id = user_id
        mip.runPredictionPipeline(user_id, time_query)
        if mip.getLastSectionDone() is None:
            logging.debug("after, run, last_section_done == None, must be early return")
            epq.mark_mode_inference_done(user_id, None)
            return
        else:
            epq.mark_mode_inference_done(user_id, mip.getLastSectionDone())
    except:
        logging.exception("Error while inferring modes, timestamp is unchanged")
        epq.mark_mode_inference_failed(user_id)

Beispiel #2

Datei: rule_engine.py Projekt: jf87/e-mission-server

def predict_mode(user_id):
    time_query = epq.get_time_range_for_mode_inference(user_id)
    try:
        mip = RuleEngineModeInferencePipeline()
        mip.user_id = user_id
        mip.runPredictionPipeline(user_id, time_query)
        if mip.getLastSectionDone() is None:
            logging.debug(
                "after, run, last_section_done == None, must be early return")
            epq.mark_mode_inference_done(user_id, None)
            return
        else:
            epq.mark_mode_inference_done(user_id, mip.getLastSectionDone())
    except:
        logging.exception(
            "Error while inferring modes, timestamp is unchanged")
        epq.mark_mode_inference_failed(user_id)