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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}])
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