/**
 * @ruvector/edge-net REAL Workflow Orchestration
 *
 * Actually functional workflow system with:
 * - Real LLM agent execution for each step
 * - Real dependency resolution
 * - Real parallel/sequential execution
 * - Real result aggregation
 *
 * @module @ruvector/edge-net/real-workflows
 */

import { EventEmitter } from 'events';
import { randomBytes } from 'crypto';
import { RealAgentManager, LLMClient } from './real-agents.js';
import { RealWorkerPool } from './real-workers.js';

// ============================================
// WORKFLOW STEP TYPES
// ============================================

export const StepTypes = {
    AGENT: 'agent',          // LLM agent execution
    WORKER: 'worker',        // Worker pool execution
    PARALLEL: 'parallel',    // Parallel sub-steps
    SEQUENTIAL: 'sequential', // Sequential sub-steps
    CONDITION: 'condition',  // Conditional branching
    TRANSFORM: 'transform',  // Data transformation
    AGGREGATE: 'aggregate',  // Result aggregation
};

// ============================================
// WORKFLOW TEMPLATES
// ============================================

export const WorkflowTemplates = {
    'code-review': {
        name: 'Code Review',
        description: 'Comprehensive code review with multiple agents',
        steps: [
            {
                id: 'analyze',
                type: 'agent',
                agentType: 'analyst',
                prompt: 'Analyze the code structure and identify key components: {{input}}',
            },
            {
                id: 'review-quality',
                type: 'agent',
                agentType: 'reviewer',
                prompt: 'Review code quality, best practices, and potential issues based on analysis: {{analyze.output}}',
                dependsOn: ['analyze'],
            },
            {
                id: 'review-security',
                type: 'agent',
                agentType: 'reviewer',
                prompt: 'Review security vulnerabilities and concerns: {{input}}',
            },
            {
                id: 'suggestions',
                type: 'agent',
                agentType: 'coder',
                prompt: 'Provide specific code improvement suggestions based on reviews:\nQuality: {{review-quality.output}}\nSecurity: {{review-security.output}}',
                dependsOn: ['review-quality', 'review-security'],
            },
        ],
    },

    'feature-dev': {
        name: 'Feature Development',
        description: 'End-to-end feature development workflow',
        steps: [
            {
                id: 'research',
                type: 'agent',
                agentType: 'researcher',
                prompt: 'Research requirements and best practices for: {{input}}',
            },
            {
                id: 'design',
                type: 'agent',
                agentType: 'analyst',
                prompt: 'Design the architecture and approach based on research: {{research.output}}',
                dependsOn: ['research'],
            },
            {
                id: 'implement',
                type: 'agent',
                agentType: 'coder',
                prompt: 'Implement the feature based on design: {{design.output}}',
                dependsOn: ['design'],
            },
            {
                id: 'test',
                type: 'agent',
                agentType: 'tester',
                prompt: 'Write tests for the implementation: {{implement.output}}',
                dependsOn: ['implement'],
            },
            {
                id: 'review',
                type: 'agent',
                agentType: 'reviewer',
                prompt: 'Final review of implementation and tests:\nCode: {{implement.output}}\nTests: {{test.output}}',
                dependsOn: ['implement', 'test'],
            },
        ],
    },

    'bug-fix': {
        name: 'Bug Fix',
        description: 'Systematic bug investigation and fix workflow',
        steps: [
            {
                id: 'investigate',
                type: 'agent',
                agentType: 'analyst',
                prompt: 'Investigate the bug and identify root cause: {{input}}',
            },
            {
                id: 'fix',
                type: 'agent',
                agentType: 'coder',
                prompt: 'Implement the fix for: {{investigate.output}}',
                dependsOn: ['investigate'],
            },
            {
                id: 'test',
                type: 'agent',
                agentType: 'tester',
                prompt: 'Write regression tests to prevent recurrence: {{fix.output}}',
                dependsOn: ['fix'],
            },
            {
                id: 'verify',
                type: 'agent',
                agentType: 'reviewer',
                prompt: 'Verify the fix is complete and correct:\nFix: {{fix.output}}\nTests: {{test.output}}',
                dependsOn: ['fix', 'test'],
            },
        ],
    },

    'optimization': {
        name: 'Performance Optimization',
        description: 'Performance analysis and optimization workflow',
        steps: [
            {
                id: 'profile',
                type: 'agent',
                agentType: 'optimizer',
                prompt: 'Profile and identify performance bottlenecks: {{input}}',
            },
            {
                id: 'analyze',
                type: 'agent',
                agentType: 'analyst',
                prompt: 'Analyze profiling results and prioritize optimizations: {{profile.output}}',
                dependsOn: ['profile'],
            },
            {
                id: 'optimize',
                type: 'agent',
                agentType: 'coder',
                prompt: 'Implement optimizations based on analysis: {{analyze.output}}',
                dependsOn: ['analyze'],
            },
            {
                id: 'benchmark',
                type: 'agent',
                agentType: 'tester',
                prompt: 'Benchmark optimized code and compare: {{optimize.output}}',
                dependsOn: ['optimize'],
            },
        ],
    },

    'research': {
        name: 'Research',
        description: 'Deep research and analysis workflow',
        steps: [
            {
                id: 'gather',
                type: 'agent',
                agentType: 'researcher',
                prompt: 'Gather information and sources on: {{input}}',
            },
            {
                id: 'analyze',
                type: 'agent',
                agentType: 'analyst',
                prompt: 'Analyze gathered information: {{gather.output}}',
                dependsOn: ['gather'],
            },
            {
                id: 'synthesize',
                type: 'agent',
                agentType: 'researcher',
                prompt: 'Synthesize findings into actionable insights: {{analyze.output}}',
                dependsOn: ['analyze'],
            },
        ],
    },
};

// ============================================
// WORKFLOW STEP
// ============================================

class WorkflowStep {
    constructor(config) {
        this.id = config.id;
        this.type = config.type || StepTypes.AGENT;
        this.agentType = config.agentType;
        this.prompt = config.prompt;
        this.dependsOn = config.dependsOn || [];
        this.options = config.options || {};
        this.subSteps = config.subSteps || [];
        this.condition = config.condition;
        this.transform = config.transform;

        this.status = 'pending';
        this.output = null;
        this.error = null;
        this.startTime = null;
        this.endTime = null;
    }

    /**
     * Interpolate template variables
     */
    interpolate(template, context) {
        return template.replace(/\{\{(\w+(?:\.\w+)?)\}\}/g, (match, path) => {
            const parts = path.split('.');
            let value = context;

            for (const part of parts) {
                if (value && typeof value === 'object') {
                    value = value[part];
                } else {
                    return match; // Keep original if not found
                }
            }

            if (typeof value === 'object') {
                return JSON.stringify(value, null, 2);
            }

            return value !== undefined ? String(value) : match;
        });
    }

    getInfo() {
        return {
            id: this.id,
            type: this.type,
            status: this.status,
            duration: this.endTime && this.startTime ? this.endTime - this.startTime : null,
            dependsOn: this.dependsOn,
            hasOutput: this.output !== null,
            error: this.error,
        };
    }
}

// ============================================
// REAL WORKFLOW ORCHESTRATOR
// ============================================

/**
 * Real workflow orchestrator with actual LLM execution
 */
export class RealWorkflowOrchestrator extends EventEmitter {
    constructor(options = {}) {
        super();
        this.agentManager = null;
        this.workerPool = null;
        this.workflows = new Map();
        this.options = options;

        this.stats = {
            workflowsCompleted: 0,
            workflowsFailed: 0,
            stepsExecuted: 0,
            totalDuration: 0,
        };
    }

    /**
     * Initialize orchestrator
     */
    async initialize() {
        // Initialize agent manager for LLM execution
        this.agentManager = new RealAgentManager({
            provider: this.options.provider || 'anthropic',
            apiKey: this.options.apiKey,
        });
        await this.agentManager.initialize();

        // Initialize worker pool for compute tasks
        this.workerPool = new RealWorkerPool({ size: 4 });
        await this.workerPool.initialize();

        return this;
    }

    /**
     * Create workflow from template or custom definition
     */
    createWorkflow(nameOrConfig, customTask = null) {
        let config;

        if (typeof nameOrConfig === 'string') {
            const template = WorkflowTemplates[nameOrConfig];
            if (!template) {
                throw new Error(`Unknown workflow template: ${nameOrConfig}`);
            }
            config = {
                ...template,
                input: customTask,
            };
        } else {
            config = nameOrConfig;
        }

        const workflow = {
            id: `wf-${randomBytes(6).toString('hex')}`,
            name: config.name,
            description: config.description,
            input: config.input,
            steps: config.steps.map(s => new WorkflowStep(s)),
            status: 'created',
            results: {},
            startTime: null,
            endTime: null,
            error: null,
        };

        this.workflows.set(workflow.id, workflow);
        this.emit('workflow-created', { workflowId: workflow.id, name: workflow.name });

        return workflow;
    }

    /**
     * Execute a workflow
     */
    async executeWorkflow(workflowId) {
        const workflow = this.workflows.get(workflowId);
        if (!workflow) {
            throw new Error(`Workflow not found: ${workflowId}`);
        }

        workflow.status = 'running';
        workflow.startTime = Date.now();
        workflow.results = { input: workflow.input };

        this.emit('workflow-start', { workflowId, name: workflow.name });

        try {
            // Build dependency graph
            const graph = this.buildDependencyGraph(workflow.steps);

            // Execute steps respecting dependencies
            await this.executeSteps(workflow, graph);

            workflow.status = 'completed';
            workflow.endTime = Date.now();

            const duration = workflow.endTime - workflow.startTime;
            this.stats.workflowsCompleted++;
            this.stats.totalDuration += duration;

            this.emit('workflow-complete', {
                workflowId,
                duration,
                results: workflow.results,
            });

            return {
                workflowId,
                status: 'completed',
                duration,
                results: workflow.results,
                steps: workflow.steps.map(s => s.getInfo()),
            };

        } catch (error) {
            workflow.status = 'failed';
            workflow.error = error.message;
            workflow.endTime = Date.now();

            this.stats.workflowsFailed++;

            this.emit('workflow-error', { workflowId, error: error.message });

            throw error;
        }
    }

    /**
     * Build dependency graph
     */
    buildDependencyGraph(steps) {
        const graph = new Map();
        const stepMap = new Map();

        for (const step of steps) {
            stepMap.set(step.id, step);
            graph.set(step.id, new Set(step.dependsOn));
        }

        return { graph, stepMap };
    }

    /**
     * Execute steps respecting dependencies
     */
    async executeSteps(workflow, { graph, stepMap }) {
        const completed = new Set();
        const running = new Map();

        const isReady = (stepId) => {
            const deps = graph.get(stepId);
            return [...deps].every(d => completed.has(d));
        };

        const getReadySteps = () => {
            const ready = [];
            for (const [stepId, deps] of graph) {
                if (!completed.has(stepId) && !running.has(stepId) && isReady(stepId)) {
                    ready.push(stepMap.get(stepId));
                }
            }
            return ready;
        };

        while (completed.size < stepMap.size) {
            const readySteps = getReadySteps();

            if (readySteps.length === 0 && running.size === 0) {
                throw new Error('Workflow deadlock: no steps ready and none running');
            }

            // Execute ready steps in parallel
            for (const step of readySteps) {
                const promise = this.executeStep(step, workflow.results)
                    .then(result => {
                        workflow.results[step.id] = { output: result };
                        completed.add(step.id);
                        running.delete(step.id);
                        this.stats.stepsExecuted++;
                    })
                    .catch(error => {
                        step.error = error.message;
                        step.status = 'failed';
                        throw error;
                    });

                running.set(step.id, promise);
            }

            // Wait for at least one to complete
            if (running.size > 0) {
                await Promise.race(running.values());
            }
        }
    }

    /**
     * Execute a single step
     */
    async executeStep(step, context) {
        step.status = 'running';
        step.startTime = Date.now();

        this.emit('step-start', { stepId: step.id, type: step.type });

        try {
            let result;

            switch (step.type) {
                case StepTypes.AGENT:
                    result = await this.executeAgentStep(step, context);
                    break;

                case StepTypes.WORKER:
                    result = await this.executeWorkerStep(step, context);
                    break;

                case StepTypes.PARALLEL:
                    result = await this.executeParallelStep(step, context);
                    break;

                case StepTypes.SEQUENTIAL:
                    result = await this.executeSequentialStep(step, context);
                    break;

                case StepTypes.TRANSFORM:
                    result = await this.executeTransformStep(step, context);
                    break;

                case StepTypes.CONDITION:
                    result = await this.executeConditionStep(step, context);
                    break;

                case StepTypes.AGGREGATE:
                    result = await this.executeAggregateStep(step, context);
                    break;

                default:
                    throw new Error(`Unknown step type: ${step.type}`);
            }

            step.output = result;
            step.status = 'completed';
            step.endTime = Date.now();

            this.emit('step-complete', {
                stepId: step.id,
                duration: step.endTime - step.startTime,
            });

            return result;

        } catch (error) {
            step.status = 'failed';
            step.error = error.message;
            step.endTime = Date.now();

            this.emit('step-error', { stepId: step.id, error: error.message });
            throw error;
        }
    }

    /**
     * Execute agent step with real LLM
     */
    async executeAgentStep(step, context) {
        const prompt = step.interpolate(step.prompt, context);

        const result = await this.agentManager.quickExecute(
            step.agentType || 'coder',
            prompt,
            {
                model: step.options.model || 'balanced',
                ...step.options,
            }
        );

        return result.content;
    }

    /**
     * Execute worker step
     */
    async executeWorkerStep(step, context) {
        const data = step.interpolate(
            JSON.stringify(step.options.data || context.input),
            context
        );

        return this.workerPool.execute(
            step.options.taskType || 'process',
            JSON.parse(data),
            step.options
        );
    }

    /**
     * Execute parallel sub-steps
     */
    async executeParallelStep(step, context) {
        const subSteps = step.subSteps.map(s => new WorkflowStep(s));
        const promises = subSteps.map(s => this.executeStep(s, context));
        const results = await Promise.all(promises);

        return results.reduce((acc, result, i) => {
            acc[subSteps[i].id] = result;
            return acc;
        }, {});
    }

    /**
     * Execute sequential sub-steps
     */
    async executeSequentialStep(step, context) {
        const subSteps = step.subSteps.map(s => new WorkflowStep(s));
        const results = {};

        for (const subStep of subSteps) {
            results[subStep.id] = await this.executeStep(subStep, { ...context, ...results });
        }

        return results;
    }

    /**
     * Execute transform step
     */
    async executeTransformStep(step, context) {
        const inputKey = step.options.input || 'input';
        const input = context[inputKey]?.output || context[inputKey] || context.input;

        if (step.transform) {
            // Custom transform function as string
            const fn = new Function('input', 'context', step.transform);
            return fn(input, context);
        }

        // Default transforms
        const transformType = step.options.transformType || 'identity';
        switch (transformType) {
            case 'json':
                return JSON.parse(input);
            case 'stringify':
                return JSON.stringify(input);
            case 'extract':
                return input[step.options.key];
            default:
                return input;
        }
    }

    /**
     * Execute condition step
     */
    async executeConditionStep(step, context) {
        const condition = step.interpolate(step.condition, context);

        // Evaluate condition
        const fn = new Function('context', `return ${condition}`);
        const result = fn(context);

        if (result && step.options.then) {
            const thenStep = new WorkflowStep(step.options.then);
            return this.executeStep(thenStep, context);
        } else if (!result && step.options.else) {
            const elseStep = new WorkflowStep(step.options.else);
            return this.executeStep(elseStep, context);
        }

        return result;
    }

    /**
     * Execute aggregate step
     */
    async executeAggregateStep(step, context) {
        const keys = step.options.keys || Object.keys(context).filter(k => k !== 'input');
        const aggregated = {};

        for (const key of keys) {
            if (context[key]) {
                aggregated[key] = context[key].output || context[key];
            }
        }

        if (step.options.format === 'summary') {
            return Object.entries(aggregated)
                .map(([k, v]) => `## ${k}\n${typeof v === 'string' ? v : JSON.stringify(v, null, 2)}`)
                .join('\n\n');
        }

        return aggregated;
    }

    /**
     * Run workflow by template name
     */
    async run(templateName, input, options = {}) {
        const workflow = this.createWorkflow(templateName, input);
        return this.executeWorkflow(workflow.id);
    }

    /**
     * Run custom workflow
     */
    async runCustom(config) {
        const workflow = this.createWorkflow(config);
        return this.executeWorkflow(workflow.id);
    }

    /**
     * Get workflow status
     */
    getWorkflow(workflowId) {
        const workflow = this.workflows.get(workflowId);
        if (!workflow) return null;

        return {
            id: workflow.id,
            name: workflow.name,
            status: workflow.status,
            steps: workflow.steps.map(s => s.getInfo()),
            duration: workflow.endTime && workflow.startTime
                ? workflow.endTime - workflow.startTime
                : null,
            error: workflow.error,
        };
    }

    /**
     * Get orchestrator stats
     */
    getStats() {
        return {
            ...this.stats,
            activeWorkflows: [...this.workflows.values()]
                .filter(w => w.status === 'running').length,
            agentManager: this.agentManager?.listAgents()?.length || 0,
            workerPool: this.workerPool?.getStatus(),
        };
    }

    /**
     * Shutdown orchestrator
     */
    async shutdown() {
        if (this.agentManager) {
            await this.agentManager.close();
        }
        if (this.workerPool) {
            await this.workerPool.shutdown();
        }
    }

    // Alias for shutdown
    async close() {
        return this.shutdown();
    }
}

// Export WorkflowStep (not exported with export class)
export { WorkflowStep };

// Default export
export default RealWorkflowOrchestrator;