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106 lines
3.5 KiB
Python
106 lines
3.5 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from abc import ABC
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from agent.component.base import ComponentBase, ComponentParamBase
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class LoopParam(ComponentParamBase):
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"""
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Define the Loop component parameters.
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"""
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def __init__(self):
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super().__init__()
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self.loop_variables = []
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self.loop_termination_condition=[]
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self.maximum_loop_count = 0
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def get_input_form(self) -> dict[str, dict]:
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return {
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"items": {
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"type": "json",
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"name": "Items"
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}
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}
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def check(self):
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return True
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class Loop(ComponentBase, ABC):
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component_name = "Loop"
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@staticmethod
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def _is_missing_required_field(value):
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if value is None:
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return True
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if isinstance(value, str):
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return value == ""
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return False
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@classmethod
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def _is_incomplete_loop_variable(cls, item):
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if any(
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[
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cls._is_missing_required_field(item.get("variable")),
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cls._is_missing_required_field(item.get("input_mode")),
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cls._is_missing_required_field(item.get("type")),
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]
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):
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return True
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input_mode = item.get("input_mode")
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if input_mode == "variable":
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return cls._is_missing_required_field(item.get("value"))
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if input_mode == "constant":
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return item.get("value") is None
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return True
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def get_start(self):
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for cid in self._canvas.components.keys():
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if self._canvas.get_component(cid)["obj"].component_name.lower() != "loopitem":
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continue
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if self._canvas.get_component(cid)["parent_id"] == self._id:
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return cid
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def _invoke(self, **kwargs):
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if self.check_if_canceled("Loop processing"):
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return
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for item in self._param.loop_variables:
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if self._is_incomplete_loop_variable(item):
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raise ValueError("Loop Variable is not complete.")
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if item["input_mode"]=="variable":
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self.set_output(item["variable"],self._canvas.get_variable_value(item["value"]))
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elif item["input_mode"]=="constant":
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self.set_output(item["variable"],item["value"])
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else:
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if item["type"] == "number":
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self.set_output(item["variable"], 0)
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elif item["type"] == "string":
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self.set_output(item["variable"], "")
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elif item["type"] == "boolean":
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self.set_output(item["variable"], False)
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elif item["type"].startswith("object"):
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self.set_output(item["variable"], {})
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elif item["type"].startswith("array"):
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self.set_output(item["variable"], [])
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else:
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self.set_output(item["variable"], "")
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def thoughts(self) -> str:
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return "Loop from canvas." |