You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
51 lines
1.7 KiB
51 lines
1.7 KiB
from typing import Dict |
|
import logging |
|
|
|
import detectors |
|
from analytic_unit_worker import AnalyticUnitWorker |
|
|
|
logger = logging.getLogger('AnalyticUnitManager') |
|
|
|
analytic_unit_id = str |
|
analytic_workers: Dict[analytic_unit_id, AnalyticUnitWorker] = dict() |
|
|
|
def get_detector(self, analytic_unit_type) -> detectors.Detector: |
|
if analytic_unit_type == 'GENERAL': |
|
detector = detectors.GeneralDetector() |
|
else: |
|
detector = detectors.PatternDetector(analytic_unit_type) |
|
return detector |
|
|
|
def ensure_worker(analytic_unit_id, analytic_unit_type) -> AnalyticUnitWorker: |
|
if analytic_unit_id in analytic_workers: |
|
# TODO: check that type is the same |
|
return analytic_workers[analytic_unit_id] |
|
detector = get_detector(analytic_unit_type) |
|
worker = AnalyticUnitWorker(analytic_unit_id, detector) |
|
analytic_workers[analytic_unit_id] = worker |
|
return worker |
|
|
|
async def handle_analytic_task(task): |
|
try: |
|
worker = ensure_worker(task['analyticUnitId'], task['type']) |
|
payload = task['payload'] |
|
if type == "PREDICT": |
|
result_payload = await worker.do_predict(analytic_unit_id, payload) |
|
elif type == "LEARN": |
|
result_payload = await worker.do_learn(analytic_unit_id, payload) |
|
else: |
|
raise ValueError('Unknown task type "%s"' % type) |
|
|
|
except Exception as e: |
|
logger.error("handle_analytic_task exception: '%s'" % error_text) |
|
# TODO: move result to a class which renders to json for messaging to analytics |
|
result = { |
|
'status': "FAILED", |
|
'error': str(e) |
|
} |
|
return { |
|
'status': 'SUCCESS', |
|
'payload': result_payload |
|
} |
|
|
|
|
|
|