import dotenv from 'dotenv';
import { XMLBuilder, XMLParser } from 'fast-xml-parser';
import { escape } from 'lodash'; // Imported escape from lodash
import OpenAI from 'openai';
import { DocumentOptions } from '../../../../documents/Documents';
import { AnswerParser } from '../response_parsers/AnswerParser';
import { StreamedAnswerParser } from '../response_parsers/StreamedAnswerParser';
import { BaseTool } from '../tools/BaseTool';
import { CalculateTool } from '../tools/CalculateTool';
//import { CreateAnyDocumentTool } from '../tools/CreateAnyDocTool';
import { CreateDocTool } from '../tools/CreateDocumentTool';
import { DataAnalysisTool } from '../tools/DataAnalysisTool';
import { ImageCreationTool } from '../tools/ImageCreationTool';
import { NoTool } from '../tools/NoTool';
import { SearchTool } from '../tools/SearchTool';
import { Parameter, ParametersType, TypeMap } from '../types/tool_types';
import { AgentMessage, ASSISTANT_ROLE, AssistantMessage, Observation, PROCESSING_TYPE, ProcessingInfo, TEXT_TYPE } from '../types/types';
import { Vectorstore } from '../vectorstore/Vectorstore';
import { getReactPrompt } from './prompts';
//import { DictionaryTool } from '../tools/DictionaryTool';
import { ChatCompletionMessageParam } from 'openai/resources';
import { Doc } from '../../../../../fields/Doc';
import { parsedDoc } from '../chatboxcomponents/ChatBox';
import { WebsiteInfoScraperTool } from '../tools/WebsiteInfoScraperTool';
import { Upload } from '../../../../../server/SharedMediaTypes';
import { RAGTool } from '../tools/RAGTool';
//import { CreateTextDocTool } from '../tools/CreateTextDocumentTool';

dotenv.config();

/**
 * The Agent class handles the interaction between the assistant and the tools available,
 * processes user queries, and manages the communication flow between the tools and OpenAI.
 */
export class Agent {
    // Private properties
    private client: OpenAI;
    private messages: AgentMessage[] = [];
    private interMessages: AgentMessage[] = [];
    private vectorstore: Vectorstore;
    private _history: () => string;
    private _summaries: () => string;
    private _csvData: () => { filename: string; id: string; text: string }[];
    private actionNumber: number = 0;
    private thoughtNumber: number = 0;
    private processingNumber: number = 0;
    private processingInfo: ProcessingInfo[] = [];
    private streamedAnswerParser: StreamedAnswerParser = new StreamedAnswerParser();
    private tools: Record<string, BaseTool<ReadonlyArray<Parameter>>>;

    /**
     * The constructor initializes the agent with the vector store and toolset, and sets up the OpenAI client.
     * @param _vectorstore Vector store instance for document storage and retrieval.
     * @param summaries A function to retrieve document summaries.
     * @param history A function to retrieve chat history.
     * @param csvData A function to retrieve CSV data linked to the assistant.
     * @param addLinkedUrlDoc A function to add a linked document from a URL.
     * @param createCSVInDash A function to create a CSV document in the dashboard.
     */
    constructor(
        _vectorstore: Vectorstore,
        summaries: () => string,
        history: () => string,
        csvData: () => { filename: string; id: string; text: string }[],
        addLinkedUrlDoc: (url: string, id: string) => void,
        createImage: (result: Upload.FileInformation & Upload.InspectionResults, options: DocumentOptions) => void,
        addLinkedDoc: (doc: parsedDoc) => Doc | undefined,
        // eslint-disable-next-line @typescript-eslint/no-unused-vars
        createCSVInDash: (url: string, title: string, id: string, data: string) => void
    ) {
        // Initialize OpenAI client with API key from environment
        this.client = new OpenAI({ apiKey: process.env.OPENAI_KEY, dangerouslyAllowBrowser: true });
        this.vectorstore = _vectorstore;
        this._history = history;
        this._summaries = summaries;
        this._csvData = csvData;

        // Define available tools for the assistant
        this.tools = {
            calculate: new CalculateTool(),
            rag: new RAGTool(this.vectorstore),
            dataAnalysis: new DataAnalysisTool(csvData),
            websiteInfoScraper: new WebsiteInfoScraperTool(addLinkedUrlDoc),
            searchTool: new SearchTool(addLinkedUrlDoc),
            // createCSV: new CreateCSVTool(createCSVInDash),
            noTool: new NoTool(),
            imageCreationTool: new ImageCreationTool(createImage),
            // createTextDoc: new CreateTextDocTool(addLinkedDoc),
            createDoc: new CreateDocTool(addLinkedDoc),
            //  createAnyDocument: new CreateAnyDocumentTool(addLinkedDoc),
            // dictionary: new DictionaryTool(),
        };
    }

    /**
     * This method handles the conversation flow with the assistant, processes user queries,
     * and manages the assistant's decision-making process, including tool actions.
     * @param question The user's question.
     * @param onProcessingUpdate Callback function for processing updates.
     * @param onAnswerUpdate Callback function for answer updates.
     * @param maxTurns The maximum number of turns to allow in the conversation.
     * @returns The final response from the assistant.
     */
    async askAgent(question: string, onProcessingUpdate: (processingUpdate: ProcessingInfo[]) => void, onAnswerUpdate: (answerUpdate: string) => void, maxTurns: number = 30): Promise<AssistantMessage> {
        console.log(`Starting query: ${question}`);
        const MAX_QUERY_LENGTH = 1000; // adjust the limit as needed

        // Check if the question exceeds the maximum length
        if (question.length > MAX_QUERY_LENGTH) {
            return { role: ASSISTANT_ROLE.ASSISTANT, content: [{ text: 'User query too long. Please shorten your question and try again.', index: 0, type: TEXT_TYPE.NORMAL, citation_ids: null }], processing_info: [] };
        }

        const sanitizedQuestion = escape(question); // Sanitized user input

        // Push sanitized user's question to message history
        this.messages.push({ role: 'user', content: sanitizedQuestion });

        // Retrieve chat history and generate system prompt
        const chatHistory = this._history();
        const systemPrompt = getReactPrompt(Object.values(this.tools), this._summaries, chatHistory);

        // Initialize intermediate messages
        this.interMessages = [{ role: 'system', content: systemPrompt }];

        this.interMessages.push({
            role: 'user',
            content: this.constructUserPrompt(1, 'user', `<query>${sanitizedQuestion}</query>`),
        });

        // Setup XML parser and builder
        const parser = new XMLParser({
            ignoreAttributes: false,
            attributeNamePrefix: '@_',
            textNodeName: '_text',
            isArray: name => ['query', 'url'].indexOf(name) !== -1,
            processEntities: false, // Disable processing of entities
            stopNodes: ['*.entity'], // Do not process any entities
        });
        const builder = new XMLBuilder({ ignoreAttributes: false, attributeNamePrefix: '@_' });

        let currentAction: string | undefined;
        this.processingInfo = [];

        let i = 2;
        while (i < maxTurns) {
            console.log(this.interMessages);
            console.log(`Turn ${i}/${maxTurns}`);

            // eslint-disable-next-line no-await-in-loop
            const result = await this.execute(onProcessingUpdate, onAnswerUpdate);
            this.interMessages.push({ role: 'assistant', content: result });

            i += 2;

            let parsedResult;
            try {
                // Parse XML result from the assistant
                parsedResult = parser.parse(result);

                // Validate the structure of the parsedResult
                this.validateAssistantResponse(parsedResult);
            } catch (error) {
                throw new Error(`Error parsing or validating response: ${error}`);
            }

            // Extract the stage from the parsed result
            const stage = parsedResult.stage;
            if (!stage) {
                throw new Error(`Error: No stage found in response`);
            }

            // Handle different stage elements (thoughts, actions, inputs, answers)
            for (const key in stage) {
                if (key === 'thought') {
                    // Handle assistant's thoughts
                    console.log(`Thought: ${stage[key]}`);
                    this.processingNumber++;
                } else if (key === 'action') {
                    // Handle action stage
                    currentAction = stage[key] as string;
                    console.log(`Action: ${currentAction}`);

                    if (this.tools[currentAction]) {
                        // Prepare the next action based on the current tool
                        const nextPrompt = [
                            {
                                type: 'text',
                                text: `<stage number="${i + 1}" role="user">` + builder.build({ action_rules: this.tools[currentAction].getActionRule() }) + `</stage>`,
                            } as Observation,
                        ];
                        this.interMessages.push({ role: 'user', content: nextPrompt });
                        break;
                    } else {
                        // Handle error in case of an invalid action
                        console.log('Error: No valid action');
                        this.interMessages.push({
                            role: 'user',
                            content: `<stage number="${i + 1}" role="system-error-reporter">No valid action, try again.</stage>`,
                        });
                        break;
                    }
                } else if (key === 'action_input') {
                    // Handle action input stage
                    const actionInput = stage[key];
                    console.log(`Action input full:`, actionInput);
                    console.log(`Action input:`, actionInput.inputs);

                    if (currentAction) {
                        try {
                            // Process the action with its input
                            // eslint-disable-next-line no-await-in-loop
                            const observation = (await this.processAction(currentAction, actionInput.inputs)) as Observation[];
                            const nextPrompt = [{ type: 'text', text: `<stage number="${i + 1}" role="user"> <observation>` }, ...observation, { type: 'text', text: '</observation></stage>' }] as Observation[];
                            console.log(observation);
                            this.interMessages.push({ role: 'user', content: nextPrompt });
                            this.processingNumber++;
                            break;
                        } catch (error) {
                            throw new Error(`Error processing action: ${error}`);
                        }
                    } else {
                        throw new Error('Error: Action input without a valid action');
                    }
                } else if (key === 'answer') {
                    // If an answer is found, end the query
                    console.log('Answer found. Ending query.');
                    this.streamedAnswerParser.reset();
                    const parsedAnswer = AnswerParser.parse(result, this.processingInfo);
                    return parsedAnswer;
                }
            }
        }

        throw new Error('Reached maximum turns. Ending query.');
    }

    private constructUserPrompt(stageNumber: number, role: string, content: string): string {
        return `<stage number="${stageNumber}" role="${role}">${content}</stage>`;
    }

    /**
     * Executes a step in the conversation, processing the assistant's response and parsing it in real-time.
     * @param onProcessingUpdate Callback for processing updates.
     * @param onAnswerUpdate Callback for answer updates.
     * @returns The full response from the assistant.
     */
    private async execute(onProcessingUpdate: (processingUpdate: ProcessingInfo[]) => void, onAnswerUpdate: (answerUpdate: string) => void): Promise<string> {
        // Stream OpenAI response for real-time updates
        const stream = await this.client.chat.completions.create({
            model: 'gpt-4o',
            messages: this.interMessages as ChatCompletionMessageParam[],
            temperature: 0,
            stream: true,
            stop: ['</stage>'],
        });

        let fullResponse: string = '';
        let currentTag: string = '';
        let currentContent: string = '';
        let isInsideTag: boolean = false;

        // Process each chunk of the streamed response
        for await (const chunk of stream) {
            const content = chunk.choices[0]?.delta?.content || '';
            fullResponse += content;

            // Parse the streamed content character by character
            for (const char of content) {
                if (currentTag === 'answer') {
                    // Handle answer parsing for real-time updates
                    currentContent += char;
                    const streamedAnswer = this.streamedAnswerParser.parse(char);
                    onAnswerUpdate(streamedAnswer);
                    continue;
                } else if (char === '<') {
                    // Start of a new tag
                    isInsideTag = true;
                    currentTag = '';
                    currentContent = '';
                } else if (char === '>') {
                    // End of the tag
                    isInsideTag = false;
                    if (currentTag.startsWith('/')) {
                        currentTag = '';
                    }
                } else if (isInsideTag) {
                    // Append characters to the tag name
                    currentTag += char;
                } else if (currentTag === 'thought' || currentTag === 'action_input_description') {
                    // Handle processing information for thought or action input description
                    currentContent += char;
                    const current_info = this.processingInfo.find(info => info.index === this.processingNumber);
                    if (current_info) {
                        current_info.content = currentContent.trim();
                        onProcessingUpdate(this.processingInfo);
                    } else {
                        this.processingInfo.push({
                            index: this.processingNumber,
                            type: currentTag === 'thought' ? PROCESSING_TYPE.THOUGHT : PROCESSING_TYPE.ACTION,
                            content: currentContent.trim(),
                        });
                        onProcessingUpdate(this.processingInfo);
                    }
                }
            }
        }

        return fullResponse;
    }

    /**
     * Validates the assistant's response to ensure it conforms to the expected XML structure.
     * @param response The parsed XML response from the assistant.
     * @throws An error if the response does not meet the expected structure.
     */
    private validateAssistantResponse(response: { stage: { [key: string]: object | string } }) {
        if (!response.stage) {
            throw new Error('Response does not contain a <stage> element');
        }

        // Validate that the stage has the required attributes
        const stage = response.stage;
        if (!stage['@_number'] || !stage['@_role']) {
            throw new Error('Stage element must have "number" and "role" attributes');
        }

        // Extract the role of the stage to determine expected content
        const role = stage['@_role'];

        // Depending on the role, validate the presence of required elements
        if (role === 'assistant') {
            // Assistant's response should contain either 'thought', 'action', 'action_input', or 'answer'
            if (!('thought' in stage || 'action' in stage || 'action_input' in stage || 'answer' in stage)) {
                throw new Error('Assistant stage must contain a thought, action, action_input, or answer element');
            }

            // If 'thought' is present, validate it
            if ('thought' in stage) {
                if (typeof stage.thought !== 'string' || stage.thought.trim() === '') {
                    throw new Error('Thought must be a non-empty string');
                }
            }

            // If 'action' is present, validate it
            if ('action' in stage) {
                if (typeof stage.action !== 'string' || stage.action.trim() === '') {
                    throw new Error('Action must be a non-empty string');
                }

                // Optional: Check if the action is among allowed actions
                const allowedActions = Object.keys(this.tools);
                if (!allowedActions.includes(stage.action)) {
                    throw new Error(`Action "${stage.action}" is not a valid tool`);
                }
            }

            // If 'action_input' is present, validate its structure
            if ('action_input' in stage) {
                const actionInput = stage.action_input as object;

                if (!('action_input_description' in actionInput) || typeof actionInput.action_input_description !== 'string') {
                    throw new Error('action_input must contain an action_input_description string');
                }

                if (!('inputs' in actionInput)) {
                    throw new Error('action_input must contain an inputs object');
                }

                // Further validation of inputs can be done here based on the expected parameters of the action
            }

            // If 'answer' is present, validate its structure
            if ('answer' in stage) {
                const answer = stage.answer as object;

                // Ensure answer contains at least one of the required elements
                if (!('grounded_text' in answer || 'normal_text' in answer)) {
                    throw new Error('Answer must contain grounded_text or normal_text');
                }

                // Validate follow_up_questions
                if (!('follow_up_questions' in answer)) {
                    throw new Error('Answer must contain follow_up_questions');
                }

                // Validate loop_summary
                if (!('loop_summary' in answer)) {
                    throw new Error('Answer must contain a loop_summary');
                }

                // Additional validation for citations, grounded_text, etc., can be added here
            }
        } else if (role === 'user') {
            // User's stage should contain 'query' or 'observation'
            if (!('query' in stage || 'observation' in stage)) {
                throw new Error('User stage must contain a query or observation element');
            }

            // Validate 'query' if present
            if ('query' in stage && typeof stage.query !== 'string') {
                throw new Error('Query must be a string');
            }

            // Validate 'observation' if present
            if ('observation' in stage) {
                // Ensure observation has the correct structure
                // This can be expanded based on how observations are structured
            }
        } else {
            throw new Error(`Unknown role "${role}" in stage`);
        }

        // Add any additional validation rules as necessary
    }

    /**
     * Helper function to check if a string can be parsed as an array of the expected type.
     * @param input The input string to check.
     * @param expectedType The expected type of the array elements ('string', 'number', or 'boolean').
     * @returns The parsed array if valid, otherwise throws an error.
     */
    private parseArray<T>(input: string, expectedType: 'string' | 'number' | 'boolean'): T[] {
        try {
            // Parse the input string into a JSON object
            const parsed = JSON.parse(input);

            // Check if the parsed object is an array and if all elements are of the expected type
            if (Array.isArray(parsed) && parsed.every(item => typeof item === expectedType)) {
                return parsed;
            } else {
                throw new Error(`Invalid ${expectedType} array format.`);
            }
        } catch (error) {
            throw new Error(`Failed to parse ${expectedType} array: ` + error);
        }
    }

    /**
     * Processes a specific action by invoking the appropriate tool with the provided inputs.
     * This method ensures that the action exists and validates the types of `actionInput`
     * based on the tool's parameter rules. It throws errors for missing required parameters
     * or mismatched types before safely executing the tool with the validated input.
     *
     * NOTE: In the future, it should typecheck for specific tool parameter types using the `TypeMap` or otherwise.
     *
     * Type validation includes checks for:
     * - `string`, `number`, `boolean`
     * - `string[]`, `number[]` (arrays of strings or numbers)
     *
     * @param action The action to perform. It corresponds to a registered tool.
     * @param actionInput The inputs for the action, passed as an object where each key is a parameter name.
     * @returns A promise that resolves to an array of `Observation` objects representing the result of the action.
     * @throws An error if the action is unknown, if required parameters are missing, or if input types don't match the expected parameter types.
     */
    private async processAction(action: string, actionInput: ParametersType<ReadonlyArray<Parameter>>): Promise<Observation[]> {
        // Check if the action exists in the tools list
        if (!(action in this.tools)) {
            throw new Error(`Unknown action: ${action}`);
        }
        console.log(actionInput);

        for (const param of this.tools[action].parameterRules) {
            // Check if the parameter is required and missing in the input
            if (param.required && !(param.name in actionInput) && !this.tools[action].inputValidator(actionInput)) {
                throw new Error(`Missing required parameter: ${param.name}`);
            }

            // Check if the parameter type matches the expected type
            const expectedType = param.type.replace('[]', '') as 'string' | 'number' | 'boolean';
            const isArray = param.type.endsWith('[]');
            const input = actionInput[param.name];

            if (isArray) {
                // Check if the input is a valid array of the expected type
                const parsedArray = this.parseArray(input as string, expectedType);
                actionInput[param.name] = parsedArray as TypeMap[typeof param.type];
            } else if (input !== undefined && typeof input !== expectedType) {
                throw new Error(`Invalid type for parameter ${param.name}: expected ${expectedType}`);
            }
        }

        const tool = this.tools[action];

        return await tool.execute(actionInput);
    }
}