/**
 * Stochastic Exploration System
 * Generates unpredictable outputs through controlled randomness and exploration
 */
export class StochasticExplorationEngine {
    explorationHistory = [];
    currentTemperature = 1.0;
    coolingRate = 0.995;
    minTemperature = 0.1;
    explorationBudget = 1000;
    /**
     * Generate unpredictable outputs using stochastic sampling
     */
    async exploreUnpredictably(input, tools) {
        // Multi-dimensional exploration
        const explorationSpaces = this.defineExplorationSpaces(input, tools);
        // Stochastic sampling across multiple dimensions
        const sampledPath = this.stochasticSampling(explorationSpaces);
        // Execute the sampled path
        const result = await this.executePath(sampledPath, input, tools);
        // Calculate novelty and surprise
        const novelty = this.calculateNovelty(result, this.explorationHistory);
        const surpriseLevel = this.calculateSurprise(result, input);
        const explorationResult = {
            output: result,
            novelty,
            confidence: this.calculateConfidence(result),
            explorationPath: sampledPath,
            surpriseLevel
        };
        // Update exploration history
        this.explorationHistory.push(explorationResult);
        this.updateTemperature();
        return explorationResult;
    }
    /**
     * Generate multiple diverse explorations
     */
    async generateDiverseExplorations(input, tools, count = 5) {
        const explorations = [];
        for (let i = 0; i < count; i++) {
            // Increase temperature for more exploration
            const tempBoost = 0.5 * Math.random();
            this.currentTemperature = Math.min(2.0, this.currentTemperature + tempBoost);
            const exploration = await this.exploreUnpredictably(input, tools);
            explorations.push(exploration);
            // Ensure diversity by penalizing similar results
            this.penalizeSimilarity(exploration, explorations);
        }
        return explorations.sort((a, b) => b.novelty - a.novelty);
    }
    /**
     * Adaptive exploration based on success/failure feedback
     */
    adaptExploration(feedback) {
        if (feedback.success && feedback.utility > 0.7) {
            // Successful exploration - slightly reduce temperature
            this.currentTemperature *= 0.9;
        }
        else {
            // Unsuccessful - increase exploration
            this.currentTemperature *= 1.1;
        }
        // Keep within bounds
        this.currentTemperature = Math.max(this.minTemperature, Math.min(2.0, this.currentTemperature));
    }
    /**
     * Define multi-dimensional exploration spaces
     */
    defineExplorationSpaces(input, tools) {
        const spaces = [];
        // Limit tool exploration to prevent massive responses
        const MAX_TOOLS_TO_EXPLORE = 3;
        const limitedToolCount = Math.min(tools.length, MAX_TOOLS_TO_EXPLORE);
        // Tool combination space
        spaces.push({
            dimensions: ['tool_selection', 'tool_order', 'tool_parameters'],
            bounds: {
                tool_selection: [0, limitedToolCount - 1],
                tool_order: [0, Math.min(limitedToolCount * 2, 6)], // Max 6 tool applications
                tool_parameters: [0, 1] // Normalized parameter space
            },
            constraints: []
        });
        // Reasoning strategy space
        spaces.push({
            dimensions: ['approach', 'depth', 'breadth', 'creativity'],
            bounds: {
                approach: [0, 5], // Different reasoning approaches
                depth: [1, 10], // Reasoning depth
                breadth: [1, 8], // Parallel reasoning paths
                creativity: [0, 1] // Creativity vs reliability
            },
            constraints: []
        });
        // Temporal exploration space
        spaces.push({
            dimensions: ['timing', 'sequence', 'parallelism'],
            bounds: {
                timing: [0, 1], // When to apply different tools
                sequence: [0, 1], // Sequential vs parallel processing
                parallelism: [1, 4] // Level of parallelism
            },
            constraints: []
        });
        return spaces;
    }
    /**
     * Stochastic sampling using temperature-controlled exploration
     */
    stochasticSampling(spaces) {
        const path = [];
        for (const space of spaces) {
            for (const dimension of space.dimensions) {
                const bounds = space.bounds[dimension];
                // Temperature-controlled sampling
                const randomValue = this.temperatureSample(bounds[0], bounds[1]);
                // Convert to exploration action
                const action = this.valueToAction(dimension, randomValue);
                path.push(action);
            }
        }
        // Add some pure randomness for unexpected combinations
        if (Math.random() < this.currentTemperature * 0.3) {
            path.push(this.generateRandomAction());
        }
        return path;
    }
    /**
     * Temperature-controlled sampling
     */
    temperatureSample(min, max) {
        // High temperature = more random, low temperature = more conservative
        const uniform = Math.random();
        if (this.currentTemperature > 1.0) {
            // High temperature: favor extremes
            const transformed = Math.pow(uniform, 1 / this.currentTemperature);
            return min + transformed * (max - min);
        }
        else {
            // Low temperature: favor center
            const transformed = Math.pow(uniform, this.currentTemperature);
            const center = (min + max) / 2;
            const range = (max - min) / 2;
            return center + (transformed - 0.5) * range * 2;
        }
    }
    /**
     * Convert numeric values to exploration actions
     */
    valueToAction(dimension, value) {
        switch (dimension) {
            case 'tool_selection':
                return `select_tool_${Math.floor(value)}`;
            case 'tool_order':
                return `order_${Math.floor(value)}`;
            case 'approach':
                const approaches = ['analytical', 'creative', 'systematic', 'intuitive', 'experimental'];
                return approaches[Math.floor(value) % approaches.length];
            case 'depth':
                return `depth_${Math.floor(value)}`;
            case 'creativity':
                return value > 0.7 ? 'high_creativity' : value > 0.3 ? 'medium_creativity' : 'low_creativity';
            default:
                return `${dimension}_${value.toFixed(2)}`;
        }
    }
    /**
     * Generate completely random action
     */
    generateRandomAction() {
        const randomActions = [
            'reverse_input',
            'combine_unexpected',
            'ignore_context',
            'amplify_noise',
            'invert_logic',
            'cross_domain_leap',
            'temporal_shift',
            'scale_transform'
        ];
        return randomActions[Math.floor(Math.random() * randomActions.length)];
    }
    /**
     * Execute exploration path
     */
    async executePath(path, input, tools) {
        let result = input;
        const executionTrace = [];
        const MAX_RESULT_SIZE = 5000; // 5KB limit per iteration
        const MAX_TRACE_ENTRIES = 10; // Limit trace entries
        for (let i = 0; i < path.length && i < MAX_TRACE_ENTRIES; i++) {
            const action = path[i];
            try {
                result = await this.executeAction(action, result, tools);
                // Check and limit result size
                const resultStr = JSON.stringify(result);
                if (resultStr.length > MAX_RESULT_SIZE) {
                    result = {
                        truncated: true,
                        action,
                        resultType: typeof result,
                        size: resultStr.length
                    };
                }
                executionTrace.push({ action, result: this.summarizeResult(result) });
            }
            catch (error) {
                // Handle failures gracefully - they might lead to interesting results
                executionTrace.push({ action, error: error instanceof Error ? error.message : 'Unknown error' });
                // Sometimes continue with modified input
                if (Math.random() < 0.5) {
                    result = this.generateAlternativeResult(action, result);
                }
            }
        }
        return {
            finalResult: result,
            executionTrace: executionTrace.slice(0, MAX_TRACE_ENTRIES),
            pathCompleted: executionTrace.length === path.length
        };
    }
    /**
     * Execute individual exploration action
     */
    async executeAction(action, input, tools) {
        if (action.startsWith('select_tool_')) {
            const toolIndex = parseInt(action.split('_')[2]);
            // Check if tools exist and index is valid
            if (!tools || tools.length === 0 || toolIndex < 0) {
                // Skip tool selection if no tools available or invalid index
                return input;
            }
            const tool = tools[toolIndex % tools.length];
            if (!tool) {
                return input;
            }
            return await this.applyTool(tool, input);
        }
        if (action.includes('creativity')) {
            return this.applyCreativeTransform(input, action);
        }
        if (action.startsWith('depth_')) {
            const depth = parseInt(action.split('_')[1]);
            return this.applyDeepReasoning(input, depth);
        }
        // Handle special random actions
        switch (action) {
            case 'reverse_input':
                return this.reverseInput(input);
            case 'combine_unexpected':
                return this.combineUnexpected(input, tools);
            case 'cross_domain_leap':
                return this.crossDomainLeap(input);
            default:
                return this.defaultAction(action, input);
        }
    }
    /**
     * Calculate novelty compared to exploration history
     */
    calculateNovelty(result, history) {
        if (history.length === 0)
            return 1.0;
        let minSimilarity = 1.0;
        for (const past of history.slice(-20)) { // Compare with recent history
            const similarity = this.calculateSimilarity(result, past.output);
            minSimilarity = Math.min(minSimilarity, similarity);
        }
        return 1.0 - minSimilarity;
    }
    /**
     * Calculate surprise level
     */
    calculateSurprise(result, originalInput) {
        // Measure how different the result is from what would be expected
        const inputComplexity = this.measureComplexity(originalInput);
        const outputComplexity = this.measureComplexity(result);
        const complexityRatio = outputComplexity / Math.max(inputComplexity, 1);
        // High surprise if output is much more complex or much simpler than input
        const surpriseFromComplexity = Math.abs(Math.log(complexityRatio));
        // Add randomness-based surprise
        const randomnessSurprise = this.measureRandomness(result);
        return Math.min(1.0, (surpriseFromComplexity + randomnessSurprise) / 2);
    }
    /**
     * Calculate confidence in result
     */
    calculateConfidence(result) {
        // Lower confidence for more exploratory results
        const baseConfidence = 0.5;
        const temperatureAdjustment = (2.0 - this.currentTemperature) / 2.0;
        return Math.min(1.0, baseConfidence + temperatureAdjustment * 0.3);
    }
    /**
     * Update exploration temperature (simulated annealing)
     */
    updateTemperature() {
        this.currentTemperature = Math.max(this.minTemperature, this.currentTemperature * this.coolingRate);
    }
    /**
     * Penalize similar results to encourage diversity
     */
    penalizeSimilarity(newExploration, existing) {
        for (const exploration of existing) {
            const similarity = this.calculateSimilarity(newExploration.output, exploration.output);
            if (similarity > 0.8) {
                // Reduce novelty score for similar results
                newExploration.novelty *= (1.0 - similarity * 0.5);
            }
        }
    }
    // Helper methods for specific transformations
    async applyTool(tool, input) {
        // Check if tool is valid
        if (!tool) {
            return input;
        }
        // For simulation, just return a small mock response instead of actually calling tools
        // This prevents massive responses from tool arrays
        return {
            tool: tool.name || 'unknown',
            simulated: true,
            inputSummary: typeof input === 'string' ? input.substring(0, 100) : 'complex_input',
            mockOutput: `Simulated output from ${tool.name || 'tool'}`,
            timestamp: Date.now()
        };
    }
    applyCreativeTransform(input, creativityLevel) {
        switch (creativityLevel) {
            case 'high_creativity':
                return this.highCreativityTransform(input);
            case 'medium_creativity':
                return this.mediumCreativityTransform(input);
            default:
                return input;
        }
    }
    applyDeepReasoning(input, depth) {
        // Simulate deep reasoning with depth limit
        const MAX_DEPTH = 5; // Prevent excessive depth
        const limitedDepth = Math.min(depth, MAX_DEPTH);
        let result = input;
        for (let i = 0; i < limitedDepth; i++) {
            result = this.reasoningStep(result, i);
            // Check size and stop if too large
            if (JSON.stringify(result).length > 2000) {
                return {
                    reasoning_truncated: true,
                    depth_reached: i,
                    max_depth: limitedDepth
                };
            }
        }
        return result;
    }
    reverseInput(input) {
        if (typeof input === 'string')
            return input.split('').reverse().join('');
        if (Array.isArray(input))
            return input.slice().reverse();
        return input;
    }
    combineUnexpected(input, tools) {
        // Combine random tools in unexpected ways
        const tool1 = tools[Math.floor(Math.random() * tools.length)];
        const tool2 = tools[Math.floor(Math.random() * tools.length)];
        return {
            unexpected_combination: true,
            tool1_result: tool1.name || 'unknown',
            tool2_result: tool2.name || 'unknown',
            original: input
        };
    }
    crossDomainLeap(input) {
        const domains = ['mathematics', 'art', 'music', 'biology', 'physics', 'psychology'];
        const randomDomain = domains[Math.floor(Math.random() * domains.length)];
        return {
            cross_domain_interpretation: true,
            domain: randomDomain,
            original: input,
            transformed: `interpreted_through_${randomDomain}`
        };
    }
    defaultAction(action, input) {
        return {
            action_applied: action,
            original: input,
            timestamp: Date.now()
        };
    }
    // Utility methods
    calculateSimilarity(a, b) {
        // Simple similarity calculation
        const strA = JSON.stringify(a);
        const strB = JSON.stringify(b);
        if (strA === strB)
            return 1.0;
        const commonLength = Math.max(strA.length, strB.length);
        let matches = 0;
        for (let i = 0; i < Math.min(strA.length, strB.length); i++) {
            if (strA[i] === strB[i])
                matches++;
        }
        return matches / commonLength;
    }
    measureComplexity(obj) {
        return JSON.stringify(obj).length;
    }
    measureRandomness(obj) {
        // Simple entropy-based randomness measure
        const str = JSON.stringify(obj);
        const charCounts = new Map();
        for (const char of str) {
            charCounts.set(char, (charCounts.get(char) || 0) + 1);
        }
        let entropy = 0;
        for (const count of charCounts.values()) {
            const probability = count / str.length;
            entropy -= probability * Math.log2(probability);
        }
        return entropy / Math.log2(256); // Normalized entropy
    }
    summarizeResult(result) {
        return JSON.stringify(result).substring(0, 100);
    }
    generateAlternativeResult(action, input) {
        return {
            alternative_generated: true,
            failed_action: action,
            alternative_of: input,
            randomness: Math.random()
        };
    }
    randomizeParameters(params) {
        const randomized = { ...params };
        for (const [key, value] of Object.entries(randomized)) {
            if (typeof value === 'number') {
                // Add some noise to numeric parameters
                randomized[key] = value * (1 + (Math.random() - 0.5) * 0.2);
            }
        }
        return randomized;
    }
    highCreativityTransform(input) {
        return {
            creative_transform: 'high',
            metaphor: this.generateMetaphor(input),
            abstraction: this.generateAbstraction(input),
            input_type: typeof input,
            input_size: JSON.stringify(input).length
        };
    }
    mediumCreativityTransform(input) {
        return {
            creative_transform: 'medium',
            analogy: this.generateAnalogy(input),
            input_type: typeof input
        };
    }
    reasoningStep(input, step) {
        // Don't nest the entire previous input - just reference it
        return {
            reasoning_step: step,
            previous_type: typeof input,
            previous_size: JSON.stringify(input).length,
            inference: `step_${step}_inference`,
            confidence: Math.random() * 0.5 + 0.5
        };
    }
    generateMetaphor(input) {
        const metaphors = ['ocean wave', 'mountain peak', 'flowing river', 'growing tree', 'burning flame'];
        return metaphors[Math.floor(Math.random() * metaphors.length)];
    }
    generateAbstraction(input) {
        const abstractions = ['pattern', 'structure', 'flow', 'emergence', 'transformation'];
        return abstractions[Math.floor(Math.random() * abstractions.length)];
    }
    generateAnalogy(input) {
        const analogies = ['like a puzzle piece', 'similar to water flow', 'analogous to growth', 'resembles a dance'];
        return analogies[Math.floor(Math.random() * analogies.length)];
    }
    /**
     * Get exploration statistics
     */
    getExplorationStats() {
        return {
            totalExplorations: this.explorationHistory.length,
            currentTemperature: this.currentTemperature,
            averageNovelty: this.calculateAverageNovelty(),
            averageSurprise: this.calculateAverageSurprise(),
            explorationBudget: this.explorationBudget,
            recentSuccess: this.calculateRecentSuccess()
        };
    }
    calculateAverageNovelty() {
        if (this.explorationHistory.length === 0)
            return 0;
        const sum = this.explorationHistory.reduce((acc, exp) => acc + exp.novelty, 0);
        return sum / this.explorationHistory.length;
    }
    calculateAverageSurprise() {
        if (this.explorationHistory.length === 0)
            return 0;
        const sum = this.explorationHistory.reduce((acc, exp) => acc + exp.surpriseLevel, 0);
        return sum / this.explorationHistory.length;
    }
    calculateRecentSuccess() {
        const recent = this.explorationHistory.slice(-10);
        if (recent.length === 0)
            return 0;
        const successful = recent.filter(exp => exp.confidence > 0.6 && exp.novelty > 0.3);
        return successful.length / recent.length;
    }
}
