Created
July 24, 2021 15:34
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| import json | |
| import random | |
| import time | |
| import os | |
| from spell.serving import BasePredictor | |
| import spell.serving.metrics as m | |
| class Predictor(BasePredictor): | |
| """More complex metrics example. """ | |
| def __init__(self): | |
| self.pid = str(os.getpid()) | |
| self.inference_time_hist = m.prometheus.Histogram( | |
| 'inference_time', 'Model inference time', | |
| labelnames=['pid'], labelvalues=[self.pid], | |
| ) | |
| self.prediction_confidence_hist = m.prometheus.Histogram( | |
| 'prediction_confidence', | |
| 'Model (self-reported) prediction confidence', | |
| buckets=[round(0.1 * x, 1) for x in range(0, 11)], | |
| labelnames=['pid'], labelvalues=[self.pid], | |
| ) | |
| def predict(self, payload): | |
| prediction_time = 0.5 + ((random.random() - 0.5) * 0.2) | |
| with self.inference_time_hist.time(): | |
| # simulate an inference event, randomly takes 0.4 to 0.6 seconds | |
| time.sleep(prediction_time) | |
| # simulate model confidence, randomly in the range 0.7 and 0.9 | |
| prediction_confidence = 0.8 + ((random.random() - 0.5) * 0.2) | |
| self.prediction_confidence_hist.observe(prediction_confidence) | |
| return json.dumps({"response": payload}) |
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