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| # | |
| # Copyright 2024 The InfiniFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| from abc import ABC | |
| import pandas as pd | |
| from agent.component.base import ComponentBase, ComponentParamBase | |
| class SwitchParam(ComponentParamBase): | |
| """ | |
| Define the Switch component parameters. | |
| """ | |
| def __init__(self): | |
| super().__init__() | |
| """ | |
| { | |
| "cpn_id": "categorize:0", | |
| "not": False, | |
| "operator": "gt/gte/lt/lte/eq/in", | |
| "value": "", | |
| "to": "" | |
| } | |
| """ | |
| self.conditions = [] | |
| self.default = "" | |
| def check(self): | |
| self.check_empty(self.conditions, "[Switch] conditions") | |
| self.check_empty(self.default, "[Switch] Default path") | |
| for cond in self.conditions: | |
| if not cond["to"]: raise ValueError(f"[Switch] 'To' can not be empty!") | |
| def operators(self, field, op, value): | |
| if op == "gt": | |
| return float(field) > float(value) | |
| if op == "gte": | |
| return float(field) >= float(value) | |
| if op == "lt": | |
| return float(field) < float(value) | |
| if op == "lte": | |
| return float(field) <= float(value) | |
| if op == "eq": | |
| return str(field) == str(value) | |
| if op == "in": | |
| return str(field).find(str(value)) >= 0 | |
| return False | |
| class Switch(ComponentBase, ABC): | |
| component_name = "Switch" | |
| def _run(self, history, **kwargs): | |
| for cond in self._param.conditions: | |
| input = self._canvas.get_component(cond["cpn_id"])["obj"].output()[1] | |
| if self._param.operators(input.iloc[0, 0], cond["operator"], cond["value"]): | |
| if not cond["not"]: | |
| return pd.DataFrame([{"content": cond["to"]}]) | |
| return pd.DataFrame([{"content": self._param.default}]) | |