import time
import uuid

import pytest

from configs import dify_config
from core.app.entities.app_invoke_entities import InvokeFrom, UserFrom
from core.workflow.node_factory import DifyNodeFactory
from core.workflow.system_variables import build_system_variables
from graphon.enums import WorkflowNodeExecutionStatus
from graphon.graph import Graph
from graphon.node_events import NodeRunResult
from graphon.nodes.code.code_node import CodeNode
from graphon.nodes.code.entities import CodeNodeData
from graphon.nodes.code.limits import CodeNodeLimits
from graphon.runtime import GraphRuntimeState, VariablePool
from tests.workflow_test_utils import build_test_graph_init_params

pytest_plugins = ("tests.integration_tests.workflow.nodes.__mock.code_executor",)

CODE_MAX_STRING_LENGTH = dify_config.CODE_MAX_STRING_LENGTH


def init_code_node(code_config: dict):
    graph_config = {
        "edges": [
            {
                "id": "start-source-code-target",
                "source": "start",
                "target": "code",
            },
        ],
        "nodes": [{"data": {"type": "start", "title": "Start"}, "id": "start"}, code_config],
    }

    init_params = build_test_graph_init_params(
        workflow_id="1",
        graph_config=graph_config,
        tenant_id="1",
        app_id="1",
        user_id="1",
        user_from=UserFrom.ACCOUNT,
        invoke_from=InvokeFrom.DEBUGGER,
        call_depth=0,
    )

    # construct variable pool
    variable_pool = VariablePool.from_bootstrap(
        system_variables=build_system_variables(user_id="aaa", files=[]),
        user_inputs={},
        environment_variables=[],
        conversation_variables=[],
    )
    variable_pool.add(["code", "args1"], 1)
    variable_pool.add(["code", "args2"], 2)

    graph_runtime_state = GraphRuntimeState(variable_pool=variable_pool, start_at=time.perf_counter())

    # Create node factory
    node_factory = DifyNodeFactory(
        graph_init_params=init_params,
        graph_runtime_state=graph_runtime_state,
    )

    graph = Graph.init(graph_config=graph_config, node_factory=node_factory, root_node_id="start")

    node = CodeNode(
        node_id=str(uuid.uuid4()),
        data=CodeNodeData.model_validate(code_config["data"]),
        graph_init_params=init_params,
        graph_runtime_state=graph_runtime_state,
        code_executor=node_factory._code_executor,
        code_limits=CodeNodeLimits(
            max_string_length=dify_config.CODE_MAX_STRING_LENGTH,
            max_number=dify_config.CODE_MAX_NUMBER,
            min_number=dify_config.CODE_MIN_NUMBER,
            max_precision=dify_config.CODE_MAX_PRECISION,
            max_depth=dify_config.CODE_MAX_DEPTH,
            max_number_array_length=dify_config.CODE_MAX_NUMBER_ARRAY_LENGTH,
            max_string_array_length=dify_config.CODE_MAX_STRING_ARRAY_LENGTH,
            max_object_array_length=dify_config.CODE_MAX_OBJECT_ARRAY_LENGTH,
        ),
    )

    return node


@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
def test_execute_code(setup_code_executor_mock):
    code = """
    def main(args1: int, args2: int):
        return {
            "result": args1 + args2,
        }
    """
    # trim first 4 spaces at the beginning of each line
    code = "\n".join([line[4:] for line in code.split("\n")])

    code_config = {
        "id": "code",
        "data": {
            "type": "code",
            "outputs": {
                "result": {
                    "type": "number",
                },
            },
            "title": "123",
            "variables": [
                {
                    "variable": "args1",
                    "value_selector": ["1", "args1"],
                },
                {"variable": "args2", "value_selector": ["1", "args2"]},
            ],
            "answer": "123",
            "code_language": "python3",
            "code": code,
        },
    }

    node = init_code_node(code_config)
    node.graph_runtime_state.variable_pool.add(["1", "args1"], 1)
    node.graph_runtime_state.variable_pool.add(["1", "args2"], 2)

    # execute node
    result = node._run()
    assert isinstance(result, NodeRunResult)
    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
    assert result.outputs is not None
    assert result.outputs["result"] == 3
    assert result.error == ""


@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
def test_execute_code_output_validator(setup_code_executor_mock):
    code = """
    def main(args1: int, args2: int):
        return {
            "result": args1 + args2,
        }
    """
    # trim first 4 spaces at the beginning of each line
    code = "\n".join([line[4:] for line in code.split("\n")])

    code_config = {
        "id": "code",
        "data": {
            "type": "code",
            "outputs": {
                "result": {
                    "type": "string",
                },
            },
            "title": "123",
            "variables": [
                {
                    "variable": "args1",
                    "value_selector": ["1", "args1"],
                },
                {"variable": "args2", "value_selector": ["1", "args2"]},
            ],
            "answer": "123",
            "code_language": "python3",
            "code": code,
        },
    }

    node = init_code_node(code_config)
    node.graph_runtime_state.variable_pool.add(["1", "args1"], 1)
    node.graph_runtime_state.variable_pool.add(["1", "args2"], 2)

    # execute node
    result = node._run()
    assert isinstance(result, NodeRunResult)
    assert result.status == WorkflowNodeExecutionStatus.FAILED
    assert result.error == "Output result must be a string, got int instead."


def test_execute_code_output_validator_depth():
    code = """
    def main(args1: int, args2: int):
        return {
            "result": {
                "result": args1 + args2,
            }
        }
    """
    # trim first 4 spaces at the beginning of each line
    code = "\n".join([line[4:] for line in code.split("\n")])

    code_config = {
        "id": "code",
        "data": {
            "type": "code",
            "outputs": {
                "string_validator": {
                    "type": "string",
                },
                "number_validator": {
                    "type": "number",
                },
                "number_array_validator": {
                    "type": "array[number]",
                },
                "string_array_validator": {
                    "type": "array[string]",
                },
                "object_validator": {
                    "type": "object",
                    "children": {
                        "result": {
                            "type": "number",
                        },
                        "depth": {
                            "type": "object",
                            "children": {
                                "depth": {
                                    "type": "object",
                                    "children": {
                                        "depth": {
                                            "type": "number",
                                        }
                                    },
                                }
                            },
                        },
                    },
                },
            },
            "title": "123",
            "variables": [
                {
                    "variable": "args1",
                    "value_selector": ["1", "args1"],
                },
                {"variable": "args2", "value_selector": ["1", "args2"]},
            ],
            "answer": "123",
            "code_language": "python3",
            "code": code,
        },
    }

    node = init_code_node(code_config)

    # construct result
    result = {
        "number_validator": 1,
        "string_validator": "1",
        "number_array_validator": [1, 2, 3, 3.333],
        "string_array_validator": ["1", "2", "3"],
        "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
    }

    # validate
    node._transform_result(result, node._node_data.outputs)

    # construct result
    result = {
        "number_validator": "1",
        "string_validator": 1,
        "number_array_validator": ["1", "2", "3", "3.333"],
        "string_array_validator": [1, 2, 3],
        "object_validator": {"result": "1", "depth": {"depth": {"depth": "1"}}},
    }

    # validate
    with pytest.raises(ValueError):
        node._transform_result(result, node._node_data.outputs)

    # construct result
    result = {
        "number_validator": 1,
        "string_validator": (CODE_MAX_STRING_LENGTH + 1) * "1",
        "number_array_validator": [1, 2, 3, 3.333],
        "string_array_validator": ["1", "2", "3"],
        "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
    }

    # validate
    with pytest.raises(ValueError):
        node._transform_result(result, node._node_data.outputs)

    # construct result
    result = {
        "number_validator": 1,
        "string_validator": "1",
        "number_array_validator": [1, 2, 3, 3.333] * 2000,
        "string_array_validator": ["1", "2", "3"],
        "object_validator": {"result": 1, "depth": {"depth": {"depth": 1}}},
    }

    # validate
    with pytest.raises(ValueError):
        node._transform_result(result, node._node_data.outputs)


def test_execute_code_output_object_list():
    code = """
    def main(args1: int, args2: int):
        return {
            "result": {
                "result": args1 + args2,
            }
        }
    """
    # trim first 4 spaces at the beginning of each line
    code = "\n".join([line[4:] for line in code.split("\n")])

    code_config = {
        "id": "code",
        "data": {
            "type": "code",
            "outputs": {
                "object_list": {
                    "type": "array[object]",
                },
            },
            "title": "123",
            "variables": [
                {
                    "variable": "args1",
                    "value_selector": ["1", "args1"],
                },
                {"variable": "args2", "value_selector": ["1", "args2"]},
            ],
            "answer": "123",
            "code_language": "python3",
            "code": code,
        },
    }

    node = init_code_node(code_config)

    # construct result
    result = {
        "object_list": [
            {
                "result": 1,
            },
            {
                "result": 2,
            },
            {
                "result": [1, 2, 3],
            },
        ]
    }

    # validate
    node._transform_result(result, node._node_data.outputs)

    # construct result
    result = {
        "object_list": [
            {
                "result": 1,
            },
            {
                "result": 2,
            },
            {
                "result": [1, 2, 3],
            },
            1,
        ]
    }

    # validate
    with pytest.raises(ValueError):
        node._transform_result(result, node._node_data.outputs)


@pytest.mark.parametrize("setup_code_executor_mock", [["none"]], indirect=True)
def test_execute_code_scientific_notation(setup_code_executor_mock):
    code = """
    def main():
        return {
            "result": -8.0E-5
        }
    """
    code = "\n".join([line[4:] for line in code.split("\n")])

    code_config = {
        "id": "code",
        "data": {
            "type": "code",
            "outputs": {
                "result": {
                    "type": "number",
                },
            },
            "title": "123",
            "variables": [],
            "answer": "123",
            "code_language": "python3",
            "code": code,
        },
    }

    node = init_code_node(code_config)
    # execute node
    result = node._run()
    assert isinstance(result, NodeRunResult)
    assert result.status == WorkflowNodeExecutionStatus.SUCCEEDED
