#
#  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
from agent.component.base import ComponentBase, ComponentParamBase


class LoopParam(ComponentParamBase):
    """
    Define the Loop component parameters.
    """

    def __init__(self):
        super().__init__()
        self.loop_variables = []
        self.loop_termination_condition = []
        self.maximum_loop_count = 0

    def get_input_form(self) -> dict[str, dict]:
        return {"items": {"type": "json", "name": "Items"}}

    def check(self):
        return True


class Loop(ComponentBase, ABC):
    component_name = "Loop"

    @staticmethod
    def _is_missing_required_field(value):
        if value is None:
            return True
        if isinstance(value, str):
            return value == ""
        return False

    @classmethod
    def _is_incomplete_loop_variable(cls, item):
        if any(
            [
                cls._is_missing_required_field(item.get("variable")),
                cls._is_missing_required_field(item.get("input_mode")),
                cls._is_missing_required_field(item.get("type")),
            ]
        ):
            return True

        input_mode = item.get("input_mode")
        if input_mode == "variable":
            return cls._is_missing_required_field(item.get("value"))
        if input_mode == "constant":
            return item.get("value") is None
        return True

    def get_start(self):
        for cid in self._canvas.components.keys():
            if self._canvas.get_component(cid)["obj"].component_name.lower() != "loopitem":
                continue
            if self._canvas.get_component(cid)["parent_id"] == self._id:
                return cid

    def _invoke(self, **kwargs):
        if self.check_if_canceled("Loop processing"):
            return

        for item in self._param.loop_variables:
            if self._is_incomplete_loop_variable(item):
                raise ValueError("Loop Variable is not complete.")
            if item["input_mode"] == "variable":
                self.set_output(item["variable"], self._canvas.get_variable_value(item["value"]))
            elif item["input_mode"] == "constant":
                self.set_output(item["variable"], item["value"])
            else:
                if item["type"] == "number":
                    self.set_output(item["variable"], 0)
                elif item["type"] == "string":
                    self.set_output(item["variable"], "")
                elif item["type"] == "boolean":
                    self.set_output(item["variable"], False)
                elif item["type"].startswith("object"):
                    self.set_output(item["variable"], {})
                elif item["type"].startswith("array"):
                    self.set_output(item["variable"], [])
                else:
                    self.set_output(item["variable"], "")

    def thoughts(self) -> str:
        return "Loop from canvas."
