Beispiel #1
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    def get_outputs_v1(self):
        try:
            outputs = pipeline_api.get_outputs(self.node_id)
        except Exception:
            logger.exception("pipeline_api.get_outputs(node_id={}) fail".format(self.node_id))
            outputs = {}

        return {"result": True, "data": outputs, "message": "", "code": err_code.SUCCESS.code}
Beispiel #2
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 def test_get_outputs(self):
     data = MockData(get_inputs_return=uniqid(),
                     get_outputs_return=uniqid())
     with patch(PIPELINE_DATA_GET, MagicMock(return_value=data)):
         outputs = api.get_outputs(self.node_id)
         self.assertEqual(outputs, {
             'outputs': data.outputs,
             'ex_data': data.ex_data
         })
Beispiel #3
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    def get_act_data(self, act_id, component_code=None, subprocess_stack=None):
        act_started = True
        result = True
        try:
            inputs = pipeline_api.get_inputs(act_id)
            outputs = pipeline_api.get_outputs(act_id)
        except Data.DoesNotExist:
            act_started = False

        if component_code:
            if not act_started:
                try:
                    instance_data = self.pipeline_instance.execution_data
                    inputs = pipeline_parser.WebPipelineAdapter(
                        instance_data).get_act_inputs(
                            act_id=act_id,
                            subprocess_stack=subprocess_stack,
                            root_pipeline_data=get_pipeline_context(
                                self.pipeline_instance, 'instance'))
                    outputs = {}
                except Exception as e:
                    inputs = {}
                    result = False
                    message = 'parser pipeline tree error: %s' % e
                    logger.exception(message)
                    outputs = {'ex_data': message}

            outputs_table = []
            try:
                component = library.ComponentLibrary.get_component_class(
                    component_code)
                outputs_format = component.outputs_format()
            except Exception as e:
                result = False
                message = 'get component[component_code=%s] format error: %s' % (
                    component_code, e)
                logger.exception(message)
                outputs = {'ex_data': message}
            else:
                for outputs_item in outputs_format:
                    value = outputs.get('outputs',
                                        {}).get(outputs_item['key'], '')
                    outputs_table.append({
                        'name': outputs_item['name'],
                        'value': value
                    })
        else:
            outputs_table = []

        data = {
            'inputs': inputs,
            'outputs': outputs_table,
            'ex_data': outputs.pop('ex_data', '')
        }
        return {'result': result, 'data': data, 'message': data['ex_data']}
Beispiel #4
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 def get_task_detail(self):
     data = {
         'id': self.id,
         'business_id': int(self.business.cc_id),
         'business_name': self.business.cc_name,
         'name': self.name,
         'create_time': format_datetime(self.create_time),
         'creator': self.creator,
         'create_method': self.create_method,
         'template_id': int(self.template_id),
         'start_time': format_datetime(self.start_time),
         'finish_time': format_datetime(self.finish_time),
         'executor': self.executor,
         'elapsed_time': self.elapsed_time
     }
     exec_data = self.pipeline_instance.execution_data
     # inputs data
     constants = exec_data['constants']
     data['constants'] = constants
     # outputs data, if task has not executed, outputs is empty list
     instance_id = self.pipeline_instance.instance_id
     try:
         outputs = pipeline_api.get_outputs(instance_id)
     except Data.DoesNotExist:
         outputs = {}
     outputs_table = [{
         'key': key,
         'value': val
     } for key, val in outputs.get('outputs', {}).items()]
     for out in outputs_table:
         out['name'] = constants[out['key']]['name']
     data.update({
         'outputs': outputs_table,
         'ex_data': outputs.get('ex_data', '')
     })
     return data
Beispiel #5
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def get_outputs(act_id):
    return api.get_outputs(act_id)
Beispiel #6
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    def get_node_data(self,
                      node_id,
                      component_code=None,
                      subprocess_stack=None):
        if not self.has_node(node_id):
            message = 'node[node_id={node_id}] not found in task[task_id={task_id}]'.format(
                node_id=node_id, task_id=self.id)
            return {'result': False, 'message': message, 'data': {}}

        act_started = True
        result = True
        inputs = {}
        outputs = {}
        try:
            inputs = pipeline_api.get_inputs(node_id)
            outputs = pipeline_api.get_outputs(node_id)
        except Data.DoesNotExist:
            act_started = False

        instance_data = self.pipeline_instance.execution_data
        if not act_started:
            try:
                inputs = WebPipelineAdapter(instance_data).get_act_inputs(
                    act_id=node_id,
                    subprocess_stack=subprocess_stack,
                    root_pipeline_data=get_pipeline_context(
                        self.pipeline_instance, 'instance'))
                outputs = {}
            except Exception as e:
                inputs = {}
                result = False
                message = 'parser pipeline tree error: %s' % e
                logger.exception(message)
                outputs = {'ex_data': message}

        if component_code:
            outputs_table = []
            try:
                component = library.ComponentLibrary.get_component_class(
                    component_code)
                outputs_format = component.outputs_format()
            except Exception as e:
                result = False
                message = 'get component[component_code=%s] format error: %s' % (
                    component_code, e)
                logger.exception(message)
                outputs = {'ex_data': message}
            else:
                outputs_data = outputs.get('outputs', {})
                # 在原子定义中的预设输出参数
                archived_keys = []
                for outputs_item in outputs_format:
                    value = outputs_data.get(outputs_item['key'], '')
                    outputs_table.append({
                        'name': outputs_item['name'],
                        'key': outputs_item['key'],
                        'value': value,
                        'preset': True,
                    })
                    archived_keys.append(outputs_item['key'])
                # 其他输出参数
                for out_key, out_value in outputs_data.items():
                    if out_key not in archived_keys:
                        outputs_table.append({
                            'name': out_key,
                            'key': out_key,
                            'value': out_value,
                            'preset': False,
                        })

        else:
            outputs_table = [{
                'key': key,
                'value': val,
                'preset': False
            } for key, val in outputs.get('outputs', {}).items()]

        if not isinstance(inputs, dict):
            inputs = {}
        if not isinstance(outputs, dict):
            outputs = {}

        data = {
            'inputs': inputs,
            'outputs': outputs_table,
            'ex_data': outputs.pop('ex_data', '')
        }
        return {
            'result': result,
            'data': data,
            'message': '' if result else data['ex_data']
        }
Beispiel #7
0
    def get_node_data_v1(
        self,
        username: str,
        subprocess_stack: List[str],
        component_code: Optional[str] = None,
        loop: Optional[int] = None,
        **kwargs,
    ) -> dict:
        node_started = True
        inputs = {}
        outputs = {}
        try:
            detail = pipeline_api.get_status_tree(self.node_id)
        except pipeline_exceptions.InvalidOperationException:
            node_started = False
        else:
            # 最新 loop 执行记录,直接通过接口获取
            if loop is None or int(loop) >= detail["loop"]:
                try:
                    inputs = pipeline_api.get_inputs(self.node_id)
                except pipeline_engine_models.Data.DoesNotExist:
                    logger.exception("shield DoesNotExist in pipeline engine layer")
                    inputs = {}

                try:
                    outputs = pipeline_api.get_outputs(self.node_id)
                except pipeline_engine_models.Data.DoesNotExist:
                    logger.exception("shield DoesNotExist in pipeline engine layer")
                    outputs = {}
            # 历史 loop 记录,需要从 histories 获取,并取最新一次操作数据(如手动重试时重新填参)
            else:
                his_data = pipeline_api.get_activity_histories(node_id=self.node_id, loop=loop)
                inputs = his_data[-1]["inputs"]
                outputs = {"outputs": his_data[-1]["outputs"], "ex_data": his_data[-1]["ex_data"]}

        pipeline_instance = kwargs["pipeline_instance"]
        if not node_started:
            node_info = self._get_node_info(
                node_id=self.node_id, pipeline=pipeline_instance.execution_data, subprocess_stack=subprocess_stack
            )
            if node_info["type"] != "ServiceActivity":
                return {
                    "result": True,
                    "data": {"inputs": {}, "outputs": [], "ex_data": ""},
                    "message": "",
                    "code": err_code.SUCCESS.code,
                }

            success, err, inputs, outputs = self._prerender_node_data(
                pipeline_instance=pipeline_instance, subprocess_stack=subprocess_stack, username=username
            )
            if not success:
                return {
                    "result": False,
                    "data": {},
                    "message": err,
                    "code": err_code.UNKNOWN_ERROR.code,
                }

        # 根据传入的 component_code 对输出进行格式化
        success, err, outputs_table = self._format_outputs(
            outputs=outputs,
            component_code=component_code,
            pipeline_instance=pipeline_instance,
            subprocess_stack=subprocess_stack,
        )
        if not success:
            return {
                "result": False,
                "data": {},
                "message": err,
                "code": err_code.UNKNOWN_ERROR.code,
            }

        data = {"inputs": inputs, "outputs": outputs_table, "ex_data": outputs.pop("ex_data", "")}
        return {"result": True, "data": data, "message": "", "code": err_code.SUCCESS.code}