| Mark Beierl | 9468ea3 | 2023-02-24 21:23:48 +0000 | [diff] [blame^] | 1 | ####################################################################################### |
| 2 | # Copyright ETSI Contributors and Others. |
| 3 | # |
| 4 | # Licensed under the Apache License, Version 2.0 (the "License"); |
| 5 | # you may not use this file except in compliance with the License. |
| 6 | # You may obtain a copy of the License at |
| 7 | # |
| 8 | # http://www.apache.org/licenses/LICENSE-2.0 |
| 9 | # |
| 10 | # Unless required by applicable law or agreed to in writing, software |
| 11 | # distributed under the License is distributed on an "AS IS" BASIS, |
| 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or |
| 13 | # implied. |
| 14 | # See the License for the specific language governing permissions and |
| 15 | # limitations under the License. |
| 16 | ####################################################################################### |
| 17 | |
| 18 | import logging |
| 19 | import uuid |
| 20 | |
| 21 | from temporalio.client import Client |
| 22 | |
| 23 | |
| 24 | class WFTemporal(object): |
| 25 | clients = {} |
| 26 | |
| 27 | def __init__(self, temporal_api=None, logger_name="temporal.client"): |
| 28 | self.logger = logging.getLogger(logger_name) |
| 29 | self.temporal_api = temporal_api |
| 30 | |
| 31 | async def execute_workflow( |
| 32 | self, task_queue: str, workflow_name: str, workflow_data: any, id: str = None |
| 33 | ): |
| 34 | handle = await self.start_workflow( |
| 35 | task_queue=task_queue, |
| 36 | workflow_name=workflow_name, |
| 37 | workflow_data=workflow_data, |
| 38 | id=id, |
| 39 | ) |
| 40 | result = await handle.result() |
| 41 | self.logger.info(f"Completed workflow {workflow_name}, id {id}") |
| 42 | return result |
| 43 | |
| 44 | async def start_workflow( |
| 45 | self, task_queue: str, workflow_name: str, workflow_data: any, id: str = None |
| 46 | ): |
| 47 | client = await self.get_client() |
| 48 | if id is None: |
| 49 | id = str(uuid.uuid4()) |
| 50 | self.logger.info(f"Starting workflow {workflow_name}, id {id}") |
| 51 | handle = await client.start_workflow( |
| 52 | workflow=workflow_name, arg=workflow_data, id=id, task_queue=task_queue |
| 53 | ) |
| 54 | return handle |
| 55 | |
| 56 | async def get_client(self): |
| 57 | if self.temporal_api in WFTemporal.clients: |
| 58 | client = WFTemporal.clients[self.temporal_api] |
| 59 | else: |
| 60 | self.logger.debug( |
| 61 | f"No cached client found, connecting to {self.temporal_api}" |
| 62 | ) |
| 63 | client = await Client.connect(self.temporal_api) |
| 64 | WFTemporal.clients[self.temporal_api] = client |
| 65 | |
| 66 | self.logger.debug(f"Using client {client} for {self.temporal_api}") |
| 67 | return client |