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conditionmgr_api.py 2.2 kB

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  1. # Copyright 2020 Huawei Technologies Co., Ltd
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. # ============================================================================
  15. """Conditionmgr restful api."""
  16. import json
  17. from flask import Blueprint, request
  18. from mindinsight.conf import settings
  19. from mindinsight.utils.exceptions import ParamValueError
  20. from mindinsight.utils.exceptions import ParamMissError
  21. from mindinsight.backend.debugger.debugger_api import BACKEND_SERVER, _wrap_reply
  22. BLUEPRINT = Blueprint("conditionmgr", __name__,
  23. url_prefix=settings.URL_PATH_PREFIX + settings.API_PREFIX)
  24. @BLUEPRINT.route("/conditionmgr/train-jobs/<train_id>/condition-collections", methods=["GET"])
  25. def get_condition_collections(train_id):
  26. """get condition collections"""
  27. reply = _wrap_reply(BACKEND_SERVER.get_condition_collections, train_id)
  28. return reply
  29. @BLUEPRINT.route("/conditionmgr/train-jobs/<train_id>/set-recommended-watch-points", methods=["POST"])
  30. def set_recommended_watch_points(train_id):
  31. """set recommended watch points."""
  32. body = request.stream.read()
  33. try:
  34. body = json.loads(body if body else "{}")
  35. except json.JSONDecodeError:
  36. raise ParamValueError("Json data parse failed.")
  37. request_body = body.get('requestBody')
  38. if request_body is None:
  39. raise ParamMissError('requestBody')
  40. set_recommended = request_body.get('set_recommended')
  41. reply = _wrap_reply(BACKEND_SERVER.set_recommended_watch_points, set_recommended, train_id)
  42. return reply
  43. def init_module(app):
  44. """
  45. Init module entry.
  46. Args:
  47. app (Flask): The application obj.
  48. """
  49. app.register_blueprint(BLUEPRINT)