| |
| |
| |
| |
| |
|
|
| import logging |
| from simuleval.data.segments import Segment, segment_from_json_string |
| from simuleval.evaluator import SentenceLevelEvaluator |
| import requests |
|
|
| logger = logging.getLogger("simuleval.remote_evaluator") |
|
|
|
|
| class RemoteEvaluator: |
| def __init__(self, evaluator: SentenceLevelEvaluator) -> None: |
| self.evaluator = evaluator |
| self.address = evaluator.args.remote_address |
| self.port = evaluator.args.remote_port |
| self.source_segment_size = evaluator.args.source_segment_size |
| self.base_url = f"http://{self.address}:{self.port}" |
|
|
| def send_source(self, segment: Segment): |
| url = f"{self.base_url}/input" |
| requests.put(url, data=segment.json()) |
|
|
| def receive_prediction(self) -> Segment: |
| url = f"{self.base_url}/output" |
| r = requests.get(url) |
| return segment_from_json_string(r.text) |
|
|
| def system_reset(self): |
| requests.post(f"{self.base_url}/reset") |
|
|
| def results(self): |
| return self.evaluator.results() |
|
|
| def remote_eval(self): |
| for instance in self.evaluator.instance_iterator: |
| self.system_reset() |
| while not instance.finish_prediction: |
| self.send_source(instance.send_source(self.source_segment_size)) |
| output_segment = self.receive_prediction() |
| instance.receive_prediction(output_segment) |
| self.evaluator.write_log(instance) |
|
|
| self.evaluator.dump_results() |
|
|
