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50 lines
1.7 KiB
50 lines
1.7 KiB
from typing import Dict |
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import detectors |
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from analytic_unit_worker import AnalyticUnitWorker |
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analytic_unit_id = str |
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analytic_workers: Dict[analytic_unit_id, AnalyticUnitWorker] = Dict() |
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def get_detector(self, analytic_unit_type) -> detectors.Detector: |
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if analytic_unit_type == 'GENERAL': |
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detector = detectors.GeneralDetector() |
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else: |
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detector = detectors.PatternDetector(analytic_unit_type) |
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return detector |
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def ensure_worker(analytic_unit_id, analytic_unit_type) -> AnalyticUnitWorker: |
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if analytic_unit_id in analytic_workers: |
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# TODO: check that type is the same |
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return analytic_workers[analytic_unit_id] |
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detector = get_detector(analytic_unit_type) |
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worker = AnalyticUnitWorker(analytic_unit_id, detector) |
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analytic_workers[analytic_unit_id] = worker |
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return worker |
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async def handle_analytic_task(task): |
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try: |
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worker = ensure_worker(task['analyticUnitId'], task['type']) |
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payload = task['payload'] |
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if type == "PREDICT": |
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result_payload = await worker.do_predict(analytic_unit_id, payload) |
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elif type == "LEARN": |
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result_payload = await worker.do_learn(analytic_unit_id, payload) |
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else: |
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raise ValueError('Unknown task type "%s"' % type) |
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except Exception as e: |
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#traceback.extract_stack() |
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error_text = traceback.format_exc() |
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logger.error("do_task Exception: '%s'" % error_text) |
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# TODO: move result to a class which renders to json for messaging to analytics |
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result = { |
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'status': "FAILED", |
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'error': str(e) |
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} |
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return { |
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'status': 'SUCCESS', |
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'payload': result_payload |
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} |
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