import {
	JobService,
	type Flow,
	type FlowModule,
	type InputTransform,
	type Job,
	type RestartedFrom,
	type OpenFlow
} from '$lib/gen'
import { workspaceStore } from '$lib/stores'
import { cleanExpr, emptySchema } from '$lib/utils'
import { get } from 'svelte/store'
import type { FlowModuleState } from './flowState'
import { type PickableProperties, dfs } from './previousResults'
import { NEVER_TESTED_THIS_FAR } from './models'
import { sendUserToast } from '$lib/toast'
import type { ExtendedOpenFlow } from './types'
import type { GraphModuleState } from '../graph'
import type { ModulesTestStates } from '../modulesTest.svelte'

function create_context_function_template(eval_string: string, context: Record<string, any>) {
	return `
return function (context) {
"use strict";
${
	Object.keys(context).length > 0
		? `let ${Object.keys(context).map((key) => ` ${key} = context['${key}']`)};`
		: ``
}
return ${eval_string}
}`
}

function make_context_evaluator(eval_string, context): (context) => any {
	let template = create_context_function_template(eval_string, context)
	let functor = Function(template)
	return functor()
}

export function evalValue(
	k: string,
	mod: FlowModule,
	pickableProperties: PickableProperties | undefined,
	showError: boolean
): any {
	let inputTransforms = (mod.value['input_transforms'] ?? {}) as Record<string, InputTransform>
	let v: any
	let t = inputTransforms?.[k]

	if (t.type == 'static') {
		v = t.value
	} else {
		try {
			let context = {
				flow_input: pickableProperties?.flow_input,
				results: pickableProperties?.priorIds
			}
			v = make_context_evaluator(t.expr, context)(context)
		} catch (e) {
			if (showError) {
				sendUserToast(`Error evaluating ${k}: ${e.message}`, true)
			}
			v = undefined
		}
	}
	if (v === NEVER_TESTED_THIS_FAR) {
		v = undefined
	}
	return v
}

export function filteredContentForExport(flow: ExtendedOpenFlow) {
	let o = {
		summary: flow.summary,
		description: flow.description,
		value: flow.value,
		schema: flow.schema
	}
	if (flow.dedicated_worker) {
		o['dedicated_worker'] = flow.dedicated_worker
	}
	if (flow.visible_to_runner_only) {
		o['visible_to_runner_only'] = flow.visible_to_runner_only
	}
	if (flow.on_behalf_of_email) {
		o['on_behalf_of_email'] = flow.on_behalf_of_email
	}
	if (flow.ws_error_handler_muted) {
		o['ws_error_handler_muted'] = flow.ws_error_handler_muted
	}
	if (flow.tag) {
		o['tag'] = flow.tag
	}
	return o
}

import { dfs as dfsApply } from './dfs'
import { randomUUID } from './conversations/FlowChatManager.svelte'

export function cleanFlow(flow: OpenFlow | any): OpenFlow & {
	tag?: string
	ws_error_handler_muted?: boolean
	dedicated_worker?: boolean
	visible_to_runner_only?: boolean
	on_behalf_of_email?: string
} {
	const newFlow: Flow = $state.snapshot(flow)

	dfsApply(newFlow.value.modules, (mod) => {
		if (mod.value.type == 'rawscript' || mod.value.type == 'script') {
			Object.values(mod.value.input_transforms ?? {}).forEach((inp) => {
				// for now we use the value for dynamic expression when done in the static editor so we have to resort to this
				if (inp.type == 'javascript') {
					//@ts-ignore
					inp.value = undefined
					inp.expr = cleanExpr(inp.expr)
				} else {
					//@ts-ignore
					inp.expr = undefined
				}
			})
		}
		if (mod.value.type == 'rawscript' && mod.value.assets?.length == 0) {
			mod.value.assets = undefined
		}
		// Generate memory_id for AI agents with auto memory if not already set
		// Only if chat input is not enabled, as otherwise memory id is based on conversation id
		if (!newFlow.value.chat_input_enabled && mod.value.type === 'aiagent') {
			const memoryTransform = mod.value.input_transforms?.memory
			if (memoryTransform?.type === 'static' && memoryTransform.value) {
				const memoryValue = memoryTransform.value as {
					kind: string
					context_length: number
					memory_id: string
				}
				if (
					memoryValue.kind === 'auto' &&
					memoryValue.context_length > 0 &&
					!memoryValue.memory_id
				) {
					memoryTransform.value = {
						...memoryValue,
						memory_id: randomUUID()
					}
				}
			}
		}
	})
	if (newFlow.value.concurrency_key == '') {
		newFlow.value.concurrency_key = undefined
	}

	return newFlow
}

export function getDefaultExpr(
	key: string = 'myfield',
	previousModuleId: string | undefined,
	previousExpr?: string
) {
	return (
		previousExpr ?? (previousModuleId ? `results.${previousModuleId}.${key}` : `flow_input.${key}`)
	)
}

export function jobsToResults(jobs: Job[]) {
	return jobs.map((job) => {
		if ('result' in job) {
			return job.result
		} else if (Array.isArray(job)) {
			return jobsToResults(job)
		}
	})
}

export async function runFlowPreview(
	args: Record<string, any>,
	flow: OpenFlow & { tag?: string },
	path: string,
	restartedFrom: RestartedFrom | undefined,
	conversationId?: string | undefined
) {
	const newFlow = flow
	return await JobService.runFlowPreview({
		workspace: get(workspaceStore) ?? '',
		requestBody: {
			args,
			value: newFlow.value,
			path: path,
			tag: newFlow.tag,
			restarted_from: restartedFrom
		},
		memoryId: conversationId
	})
}

export function codeToStaticTemplate(code?: string): string | undefined {
	if (!code || typeof code != 'string') return undefined

	const lines = code.split('\n')
	if (lines.length == 1) {
		const line = lines[0].trim()
		if (line[0] == '`' && line.charAt(line.length - 1) == '`') {
			return line.slice(1, line.length - 1).replaceAll('\\`', '`')
		} else {
			return `\$\{${line}\}`
		}
	}
	return undefined
}

export function emptyFlowModuleState(): FlowModuleState {
	return {
		schema: emptySchema(),
		previewResult: NEVER_TESTED_THIS_FAR
	}
}

export function checkIfParentLoop(
	flowStore: ExtendedOpenFlow,
	modId: string
): { id: string; type: 'forloopflow' | 'whileloopflow' } | undefined {
	const flow: ExtendedOpenFlow = JSON.parse(JSON.stringify(flowStore))
	const parents = dfs(modId, flow, true)
	for (const parent of parents.slice(1)) {
		if (parent.value.type === 'forloopflow' || parent.value.type === 'whileloopflow') {
			return { id: parent.id, type: parent.value.type }
		}
	}
	return undefined
}

/**
 * Updates moduleStates based on test job data from modulesTestStates
 * Extracts job information and converts it to GraphModuleState format
 * for graph rendering
 */
export function updateDerivedModuleStatesFromTestJobs(
	moduleId: string | undefined,
	moduleTestStates: ModulesTestStates | undefined,
	moduleStates: Record<string, GraphModuleState> | undefined
) {
	if (!moduleId || !moduleTestStates || !moduleStates) {
		return
	}
	const newStates: Record<string, GraphModuleState> = {}

	const testState = moduleTestStates?.states[moduleId]
	if (testState) {
		if (testState.testJob) {
			const job = testState.testJob

			// Create GraphModuleState from job data
			const moduleState: GraphModuleState = {
				args: job.args,
				type: job.type === 'QueuedJob' ? 'InProgress' : job['success'] ? 'Success' : 'Failure',
				job_id: job.id,
				tag: job.tag,
				duration_ms: job['duration_ms'],
				started_at: job.started_at ? new Date(job.started_at).getTime() : undefined
			}

			newStates[moduleId] = moduleState
		} else if (testState.loading) {
			// If test is loading, show as InProgress
			newStates[moduleId] = {
				type: 'InProgress',
				args: {}
			}
		}
	}

	return {
		...moduleStates,
		...newStates
	}
}
