import { deepseekPrompt } from '../prompts/deepseek.prompt';
import { elizaLogger } from "@ai16z/eliza";
export const marketAnalysisGroup = {
    name: 'Market Analysis Group',
    description: 'A group of agents specialized in market analysis and trading decisions',
    agents: [
        {
            id: 'deepseek-analyst',
            name: 'DeepSeek Market Analyst',
            model: 'deepseek-coder-33b-instruct',
            prompt: deepseekPrompt,
            role: 'ANALYST',
            priority: 1,
            maxConcurrentTasks: 3,
            timeoutMs: 30000,
            temperature: 0.7,
            minConfidence: 0.8
        },
        {
            id: 'risk-manager',
            name: 'Risk Assessment Manager',
            model: 'deepseek-coder-33b-instruct',
            prompt: deepseekPrompt, // TODO: Add specific risk management prompt
            role: 'RISK_MANAGER',
            priority: 2,
            maxConcurrentTasks: 2,
            timeoutMs: 20000,
            temperature: 0.5,
            minConfidence: 0.9
        },
        {
            id: 'sentiment-analyzer',
            name: 'Market Sentiment Analyzer',
            model: 'deepseek-coder-33b-instruct',
            prompt: deepseekPrompt, // TODO: Add sentiment analysis prompt
            role: 'SENTIMENT_ANALYZER',
            priority: 3,
            maxConcurrentTasks: 4,
            timeoutMs: 15000,
            temperature: 0.6,
            minConfidence: 0.7
        }
    ],
    workflow: {
        stages: [
            {
                name: 'Market Data Analysis',
                agents: ['deepseek-analyst'],
                requiredConfidence: 0.8,
                timeoutMs: 30000,
                retryCount: 2,
                fallbackAgents: ['risk-manager']
            },
            {
                name: 'Risk Assessment',
                agents: ['risk-manager'],
                requiredConfidence: 0.9,
                timeoutMs: 20000,
                retryCount: 1
            },
            {
                name: 'Sentiment Analysis',
                agents: ['sentiment-analyzer'],
                requiredConfidence: 0.7,
                timeoutMs: 15000,
                retryCount: 2
            },
            {
                name: 'Final Decision',
                agents: ['deepseek-analyst', 'risk-manager'],
                requiredConfidence: 0.85,
                timeoutMs: 25000,
                retryCount: 1
            }
        ],
        fallbackBehavior: {
            retryCount: 3,
            backoffMs: 1000,
            escalationThreshold: 0.6,
            maxTimeout: 120000
        }
    },
    coordination: {
        consensusThreshold: 0.7,
        votingEnabled: true,
        requireUnanimity: false,
        minParticipants: 2,
        weightedVoting: true
    }
};
export class MarketAnalysisCoordinator {
    currentStage = 0;
    analysisResults = new Map();
    async executeWorkflow(marketData) {
        try {
            const workflow = marketAnalysisGroup.workflow;
            this.currentStage = 0;
            this.analysisResults.clear();
            for (const stage of workflow.stages) {
                elizaLogger.info(`Executing stage: ${stage.name}`);
                const stageResults = await this.executeStage(stage, marketData);
                if (!stageResults.success) {
                    return this.handleStageFailure(stage, stageResults);
                }
                this.analysisResults.set(stage.name, stageResults.data);
                this.currentStage++;
            }
            return this.compileResults();
        }
        catch (error) {
            elizaLogger.error('Error in market analysis workflow:', error);
            throw error;
        }
    }
    async executeStage(stage, data) {
        let attempts = 0;
        const maxAttempts = stage.retryCount || 1;
        while (attempts < maxAttempts) {
            try {
                const results = await Promise.all(stage.agents.map(agentId => this.executeAgent(agentId, data)));
                const confidence = this.calculateConfidence(results);
                if (confidence >= stage.requiredConfidence) {
                    return {
                        success: true,
                        data: this.aggregateResults(results),
                        confidence
                    };
                }
                attempts++;
                if (attempts < maxAttempts) {
                    await this.delay(marketAnalysisGroup.workflow.fallbackBehavior.backoffMs);
                }
            }
            catch (error) {
                elizaLogger.error(`Error in stage ${stage.name}, attempt ${attempts + 1}:`, error);
                attempts++;
            }
        }
        return { success: false, reason: 'Failed to meet confidence threshold' };
    }
    async executeAgent(agentId, data) {
        const agent = marketAnalysisGroup.agents.find(a => a.id === agentId);
        if (!agent) {
            throw new Error(`Agent not found: ${agentId}`);
        }
        // TODO: Implement actual agent execution logic
        return {
            success: true,
            confidence: 0.85,
            data: { /* analysis results */}
        };
    }
    calculateConfidence(results) {
        return results.reduce((acc, result) => acc + (result.confidence || 0), 0) / results.length;
    }
    aggregateResults(results) {
        // TODO: Implement proper result aggregation logic
        return results.reduce((acc, result) => ({
            ...acc,
            ...result.data
        }), {});
    }
    async handleStageFailure(stage, results) {
        if (stage.fallbackAgents && stage.fallbackAgents.length > 0) {
            elizaLogger.warn(`Stage ${stage.name} failed, attempting fallback`);
            // TODO: Implement fallback logic
        }
        return {
            success: false,
            stage: stage.name,
            reason: results.reason
        };
    }
    delay(ms) {
        return new Promise(resolve => setTimeout(resolve, ms));
    }
    compileResults() {
        const finalResults = {
            marketAnalysis: this.analysisResults.get('Market Data Analysis'),
            riskAssessment: this.analysisResults.get('Risk Assessment'),
            sentimentAnalysis: this.analysisResults.get('Sentiment Analysis'),
            finalDecision: this.analysisResults.get('Final Decision')
        };
        return {
            success: true,
            data: finalResults,
            timestamp: new Date().toISOString()
        };
    }
}
export const createMarketAnalysisCoordinator = () => {
    return new MarketAnalysisCoordinator();
};
