@neuronetiq/marketplace-contracts
Version:
Contracts for ML Marketplace - Pod I/O, Marketplace API, and Infra Integration
1 lines • 66.2 kB
Source Map (JSON)
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* @fileoverview Infra Write Schemas for ML Marketplace\n * \n * These schemas define the contracts for writing data to the Infrastructure service\n * from marketplace deployments, including vendor attribution and deployment tracking.\n */\n\nimport { z } from 'zod';\n\n// ===== PRIMITIVES =====\n\nconst ISODateTime = z.string().datetime();\nconst UUID = z.string().uuid();\nconst Symbol = z.string().min(1).max(10);\nconst Timeframe = z.enum(['1m', '5m', '15m', '1h', '4h', '1d']);\nconst Decision = z.enum(['BUY', 'SELL', 'HOLD', 'UNKNOWN']);\nconst Confidence = z.number().min(0).max(1);\n\n// ===== INFRA WRITE SCHEMAS =====\n\n/**\n * SignalWrite - Signal data to write to Infrastructure\n * \n * Enhanced signal schema with vendor attribution and deployment tracking\n */\nexport const SignalWrite = z.object({\n // Core signal data\n symbol: Symbol,\n timeframe: Timeframe,\n decision: Decision,\n confidence: Confidence,\n model_version: z.string(),\n timestamp: ISODateTime,\n \n // Vendor attribution\n vendor_id: z.string().min(1).max(50),\n deployment_id: UUID,\n \n // Optional metadata\n rationale: z.array(z.string()).optional(),\n metadata: z.record(z.any()).optional(),\n \n // Model performance context\n model_performance: z.object({\n backtest_sharpe: z.number().optional(),\n live_sharpe: z.number().optional(),\n win_rate: z.number().min(0).max(1).optional(),\n max_drawdown: z.number().min(0).max(1).optional()\n }).optional(),\n \n // Feature importance (optional)\n feature_importance: z.record(z.number()).optional(),\n \n // Prediction uncertainty\n uncertainty: z.number().min(0).max(1).optional()\n}).strict();\n\n/**\n * ConsensusWrite - Consensus data to write to Infrastructure\n * \n * Enhanced consensus schema with vendor attribution and deployment tracking\n */\nexport const ConsensusWrite = z.object({\n // Core consensus data\n symbol: Symbol,\n timeframe: Timeframe,\n decision: Decision,\n confidence: Confidence,\n model_version: z.string(),\n timestamp: ISODateTime,\n \n // Vendor attribution\n vendor_id: z.string().min(1).max(50),\n deployment_id: UUID,\n \n // Consensus details\n contributing_models: z.array(z.object({\n model_id: z.string(),\n vendor_id: z.string(),\n weight: z.number().min(0).max(1),\n contribution: z.number().min(-1).max(1)\n })).optional(),\n \n // Optional metadata\n rationale: z.array(z.string()).optional(),\n metadata: z.record(z.any()).optional(),\n \n // Consensus metrics\n consensus_metrics: z.object({\n agreement_score: z.number().min(0).max(1).optional(),\n diversity_index: z.number().min(0).max(1).optional(),\n confidence_interval: z.object({\n lower: z.number().min(0).max(1),\n upper: z.number().min(0).max(1)\n }).optional()\n }).optional(),\n \n // Model performance context\n model_performance: z.object({\n backtest_sharpe: z.number().optional(),\n live_sharpe: z.number().optional(),\n win_rate: z.number().min(0).max(1).optional(),\n max_drawdown: z.number().min(0).max(1).optional()\n }).optional()\n}).strict();\n\n/**\n * BatchSignalWrite - Batch signal writes for efficiency\n * \n * Allows writing multiple signals in a single request\n */\nexport const BatchSignalWrite = z.object({\n signals: z.array(SignalWrite).min(1).max(100),\n \n // Batch metadata\n batch_id: UUID.optional(),\n vendor_id: z.string().min(1).max(50),\n deployment_id: UUID,\n timestamp: ISODateTime\n}).strict();\n\n/**\n * BatchConsensusWrite - Batch consensus writes for efficiency\n * \n * Allows writing multiple consensus decisions in a single request\n */\nexport const BatchConsensusWrite = z.object({\n consensus: z.array(ConsensusWrite).min(1).max(100),\n \n // Batch metadata\n batch_id: UUID.optional(),\n vendor_id: z.string().min(1).max(50),\n deployment_id: UUID,\n timestamp: ISODateTime\n}).strict();\n\n// ===== INFRA WRITE REQUEST SCHEMAS =====\n\n/**\n * SignalWriteRequest - Request to write signals to Infrastructure\n * \n * Can contain single signal or batch of signals\n */\nexport const SignalWriteRequest = z.union([\n SignalWrite,\n BatchSignalWrite\n]);\n\n/**\n * ConsensusWriteRequest - Request to write consensus to Infrastructure\n * \n * Can contain single consensus or batch of consensus decisions\n */\nexport const ConsensusWriteRequest = z.union([\n ConsensusWrite,\n BatchConsensusWrite\n]);\n\n// ===== INFRA WRITE RESPONSE SCHEMAS =====\n\n/**\n * WriteResponse - Response from Infrastructure write operations\n * \n * Standardized response for all write operations\n */\nexport const WriteResponse = z.object({\n success: z.boolean(),\n message: z.string().optional(),\n \n // Request tracking\n request_id: UUID,\n timestamp: ISODateTime,\n \n // Write results\n results: z.object({\n written: z.number().int().nonnegative(),\n skipped: z.number().int().nonnegative().optional(),\n errors: z.number().int().nonnegative().optional()\n }).optional(),\n \n // Error details\n errors: z.array(z.object({\n code: z.string(),\n message: z.string(),\n data: z.any().optional()\n })).optional(),\n \n // Idempotency information\n idempotency: z.object({\n key: z.string(),\n slot: z.number().int().nonnegative(),\n was_duplicate: z.boolean()\n }).optional()\n}).strict();\n\n// ===== MARKETPLACE HEADERS =====\n\n/**\n * MarketplaceHeaders - Headers required for marketplace writes\n * \n * Standardized headers for all marketplace-to-infra communications\n */\nexport const MarketplaceHeaders = z.object({\n 'Authorization': z.string().regex(/^Bearer\\s+.+$/),\n 'X-Marketplace-Contracts-Version': z.string().regex(/^\\d+\\.\\d+\\.\\d+$/),\n 'X-Idempotency-Key': z.string().optional(),\n 'X-Vendor-ID': z.string().optional(),\n 'X-Deployment-ID': z.string().optional(),\n 'Content-Type': z.literal('application/json')\n}).strict();\n\n// ===== TYPE EXPORTS =====\n\nexport type SignalWriteT = z.infer<typeof SignalWrite>;\nexport type ConsensusWriteT = z.infer<typeof ConsensusWrite>;\nexport type BatchSignalWriteT = z.infer<typeof BatchSignalWrite>;\nexport type BatchConsensusWriteT = z.infer<typeof BatchConsensusWrite>;\nexport type SignalWriteRequestT = z.infer<typeof SignalWriteRequest>;\nexport type ConsensusWriteRequestT = z.infer<typeof ConsensusWriteRequest>;\nexport type WriteResponseT = z.infer<typeof WriteResponse>;\nexport type MarketplaceHeadersT = z.infer<typeof MarketplaceHeaders>;\n","/**\n * @fileoverview Pod I/O Schemas for ML Marketplace\n * \n * These schemas define the input/output contracts for ML inference pods\n * deployed on RunPod or similar platforms. They handle signal inference,\n * consensus generation, and optimization requests.\n */\n\nimport { z } from 'zod';\n\n// ===== PRIMITIVES =====\n\nconst ISODateTime = z.string().datetime();\nconst UUID = z.string().uuid();\nconst Symbol = z.string().min(1).max(10);\nconst Timeframe = z.enum(['1m', '5m', '15m', '1h', '4h', '1d']);\nconst Decision = z.enum(['BUY', 'SELL', 'HOLD', 'UNKNOWN']);\nconst Confidence = z.number().min(0).max(1);\n\n// ===== POD I/O SCHEMAS =====\n\n/**\n * SignalInferenceRequest - Input to signal inference pod\n * \n * Contains market data and configuration for generating trading signals\n */\nexport const SignalInferenceRequest = z.object({\n // Request metadata\n request_id: UUID,\n timestamp: ISODateTime,\n \n // Market context\n symbol: Symbol,\n timeframe: Timeframe,\n \n // Market data (last N bars)\n bars: z.array(z.object({\n timestamp: ISODateTime,\n open: z.number().positive(),\n high: z.number().positive(),\n low: z.number().positive(),\n close: z.number().positive(),\n volume: z.number().nonnegative()\n })).min(1).max(1000),\n \n // Model configuration\n model_config: z.object({\n model_version: z.string().optional(),\n features: z.array(z.string()).optional(),\n parameters: z.record(z.any()).optional()\n }).optional(),\n \n // Optional context\n context: z.object({\n market_session: z.enum(['pre', 'regular', 'post']).optional(),\n volatility_regime: z.enum(['low', 'normal', 'high']).optional(),\n news_sentiment: z.number().min(-1).max(1).optional()\n }).optional()\n}).strict();\n\n/**\n * SignalInferenceResponse - Output from signal inference pod\n * \n * Contains the generated trading signal with confidence and rationale\n */\nexport const SignalInferenceResponse = z.object({\n // Response metadata\n request_id: UUID,\n timestamp: ISODateTime,\n processing_time_ms: z.number().nonnegative(),\n \n // Signal output\n signal: z.object({\n symbol: Symbol,\n timeframe: Timeframe,\n decision: Decision,\n confidence: Confidence,\n model_version: z.string(),\n \n // Optional rationale\n rationale: z.array(z.string()).optional(),\n \n // Optional additional data\n metadata: z.record(z.any()).optional()\n }),\n \n // Model performance metrics\n metrics: z.object({\n feature_importance: z.record(z.number()).optional(),\n prediction_uncertainty: z.number().min(0).max(1).optional(),\n model_confidence: z.number().min(0).max(1).optional()\n }).optional(),\n \n // Error handling\n error: z.object({\n code: z.string(),\n message: z.string(),\n details: z.any().optional()\n }).optional()\n}).strict();\n\n/**\n * ConsensusInferenceRequest - Input to consensus inference pod\n * \n * Contains multiple signals to aggregate into a consensus decision\n */\nexport const ConsensusInferenceRequest = z.object({\n // Request metadata\n request_id: UUID,\n timestamp: ISODateTime,\n \n // Market context\n symbol: Symbol,\n timeframe: Timeframe,\n \n // Input signals to aggregate\n signals: z.array(z.object({\n model_id: z.string(),\n model_version: z.string(),\n decision: Decision,\n confidence: Confidence,\n weight: z.number().min(0).max(1).optional(),\n metadata: z.record(z.any()).optional()\n })).min(1).max(50),\n \n // Consensus configuration\n consensus_config: z.object({\n method: z.enum(['weighted_average', 'majority_vote', 'ensemble']).optional(),\n min_confidence: z.number().min(0).max(1).optional(),\n require_agreement: z.boolean().optional()\n }).optional()\n}).strict();\n\n/**\n * ConsensusInferenceResponse - Output from consensus inference pod\n * \n * Contains the aggregated consensus decision\n */\nexport const ConsensusInferenceResponse = z.object({\n // Response metadata\n request_id: UUID,\n timestamp: ISODateTime,\n processing_time_ms: z.number().nonnegative(),\n \n // Consensus output\n consensus: z.object({\n symbol: Symbol,\n timeframe: Timeframe,\n decision: Decision,\n confidence: Confidence,\n model_version: z.string(),\n \n // Consensus details\n contributing_models: z.array(z.object({\n model_id: z.string(),\n weight: z.number().min(0).max(1),\n contribution: z.number().min(-1).max(1)\n })),\n \n // Optional rationale\n rationale: z.array(z.string()).optional(),\n \n // Optional additional data\n metadata: z.record(z.any()).optional()\n }),\n \n // Consensus metrics\n metrics: z.object({\n agreement_score: z.number().min(0).max(1).optional(),\n diversity_index: z.number().min(0).max(1).optional(),\n confidence_interval: z.object({\n lower: z.number().min(0).max(1),\n upper: z.number().min(0).max(1)\n }).optional()\n }).optional(),\n \n // Error handling\n error: z.object({\n code: z.string(),\n message: z.string(),\n details: z.any().optional()\n }).optional()\n}).strict();\n\n/**\n * OptimizerRequest - Input to optimization pod\n * \n * Contains parameters and constraints for portfolio optimization\n */\nexport const OptimizerRequest = z.object({\n // Request metadata\n request_id: UUID,\n timestamp: ISODateTime,\n \n // Optimization context\n symbols: z.array(Symbol).min(1).max(100),\n timeframe: Timeframe,\n \n // Market data\n market_data: z.object({\n prices: z.record(z.number().positive()),\n volatilities: z.record(z.number().nonnegative()),\n correlations: z.record(z.record(z.number().min(-1).max(1)))\n }),\n \n // Optimization parameters\n optimization_config: z.object({\n objective: z.enum(['maximize_sharpe', 'minimize_risk', 'maximize_return']),\n constraints: z.object({\n max_weight: z.number().min(0).max(1).optional(),\n min_weight: z.number().min(0).max(1).optional(),\n max_turnover: z.number().min(0).max(1).optional()\n }).optional(),\n risk_budget: z.number().min(0).max(1).optional()\n })\n}).strict();\n\n/**\n * OptimizerResponse - Output from optimization pod\n * \n * Contains the optimized portfolio weights and metrics\n */\nexport const OptimizerResponse = z.object({\n // Response metadata\n request_id: UUID,\n timestamp: ISODateTime,\n processing_time_ms: z.number().nonnegative(),\n \n // Optimization output\n portfolio: z.object({\n weights: z.record(z.number().min(0).max(1)),\n expected_return: z.number(),\n expected_volatility: z.number().nonnegative(),\n sharpe_ratio: z.number(),\n \n // Optional metrics\n metrics: z.object({\n diversification_ratio: z.number().optional(),\n max_drawdown: z.number().optional(),\n var_95: z.number().optional()\n }).optional()\n }),\n \n // Optimization details\n optimization_details: z.object({\n iterations: z.number().int().nonnegative(),\n convergence: z.boolean(),\n objective_value: z.number()\n }).optional(),\n \n // Error handling\n error: z.object({\n code: z.string(),\n message: z.string(),\n details: z.any().optional()\n }).optional()\n}).strict();\n\n// ===== TYPE EXPORTS =====\n\nexport type SignalInferenceRequestT = z.infer<typeof SignalInferenceRequest>;\nexport type SignalInferenceResponseT = z.infer<typeof SignalInferenceResponse>;\nexport type ConsensusInferenceRequestT = z.infer<typeof ConsensusInferenceRequest>;\nexport type ConsensusInferenceResponseT = z.infer<typeof ConsensusInferenceResponse>;\nexport type OptimizerRequestT = z.infer<typeof OptimizerRequest>;\nexport type OptimizerResponseT = z.infer<typeof OptimizerResponse>;\n","/**\n * @fileoverview Marketplace API Schemas\n * \n * These schemas define the contracts for the ML Marketplace API,\n * including model catalog, versioning, deployment management, and health monitoring.\n */\n\nimport { z } from 'zod';\n\n// ===== PRIMITIVES =====\n\nconst ISODateTime = z.string().datetime();\nconst UUID = z.string().uuid();\nconst Slug = z.string().regex(/^[a-z0-9-]+$/).min(1).max(50);\nconst Version = z.string().regex(/^\\d+\\.\\d+\\.\\d+$/);\nconst URL = z.string().url();\nconst Email = z.string().email();\n\n// ===== MARKETPLACE SCHEMAS =====\n\n/**\n * CatalogModel - Model entry in marketplace catalog\n * \n * Represents a model available in the marketplace with metadata and performance metrics\n */\nexport const CatalogModel = z.object({\n // Model identity\n id: UUID,\n slug: Slug,\n name: z.string().min(1).max(100),\n description: z.string().max(1000).optional(),\n \n // Model metadata\n vendor: z.object({\n id: z.string(),\n name: z.string(),\n email: Email.optional(),\n website: URL.optional()\n }),\n \n // Model details\n task: z.enum(['signal', 'consensus', 'optimization', 'feature_engineering']),\n domain: z.enum(['forex', 'stocks', 'crypto', 'commodities', 'multi_asset']),\n timeframe: z.enum(['1m', '5m', '15m', '1h', '4h', '1d', 'multi']),\n \n // Performance metrics\n performance: z.object({\n sharpe_ratio: z.number().optional(),\n win_rate: z.number().min(0).max(1).optional(),\n max_drawdown: z.number().min(0).max(1).optional(),\n total_return: z.number().optional(),\n volatility: z.number().nonnegative().optional(),\n calmar_ratio: z.number().optional()\n }).optional(),\n \n // Model versions\n latest_version: Version,\n versions: z.array(z.object({\n version: Version,\n created_at: ISODateTime,\n description: z.string().optional(),\n performance: z.record(z.number()).optional(),\n artifact_url: URL.optional()\n })),\n \n // Deployment status\n deployment_status: z.enum(['available', 'deployed', 'maintenance', 'deprecated']),\n active_deployments: z.number().int().nonnegative(),\n \n // Marketplace metadata\n tags: z.array(z.string()).max(10),\n license: z.enum(['MIT', 'Apache-2.0', 'GPL-3.0', 'Commercial', 'Custom']),\n pricing: z.object({\n model: z.enum(['free', 'per_inference', 'subscription', 'enterprise']),\n cost_per_inference: z.number().nonnegative().optional(),\n monthly_cost: z.number().nonnegative().optional()\n }).optional(),\n \n // Timestamps\n created_at: ISODateTime,\n updated_at: ISODateTime,\n last_deployed_at: ISODateTime.optional()\n}).strict();\n\n/**\n * ModelVersion - Specific version of a model\n * \n * Detailed information about a specific model version including artifacts and performance\n */\nexport const ModelVersion = z.object({\n // Version identity\n model_id: UUID,\n version: Version,\n \n // Version metadata\n description: z.string().max(1000).optional(),\n changelog: z.string().max(2000).optional(),\n \n // Artifacts\n artifacts: z.object({\n model_file: URL.optional(),\n config_file: URL.optional(),\n requirements: URL.optional(),\n docker_image: z.string().optional(),\n inference_script: URL.optional()\n }).optional(),\n \n // Performance metrics\n performance: z.object({\n backtest_results: z.record(z.number()).optional(),\n live_performance: z.record(z.number()).optional(),\n benchmark_scores: z.record(z.number()).optional()\n }).optional(),\n \n // Validation\n validation_status: z.enum(['pending', 'passed', 'failed', 'skipped']),\n validation_results: z.object({\n accuracy: z.number().min(0).max(1).optional(),\n latency_ms: z.number().nonnegative().optional(),\n memory_mb: z.number().nonnegative().optional(),\n cpu_usage: z.number().min(0).max(1).optional()\n }).optional(),\n \n // Timestamps\n created_at: ISODateTime,\n validated_at: ISODateTime.optional()\n}).strict();\n\n/**\n * Deployment - Active deployment of a model\n * \n * Represents a running instance of a model on infrastructure\n */\nexport const Deployment = z.object({\n // Deployment identity\n id: UUID,\n model_id: UUID,\n model_version: Version,\n \n // Deployment metadata\n name: z.string().min(1).max(100),\n description: z.string().max(500).optional(),\n \n // Infrastructure details\n provider: z.enum(['runpod', 'aws', 'gcp', 'azure', 'local']),\n region: z.string().optional(),\n instance_type: z.string().optional(),\n \n // Resource allocation\n resources: z.object({\n cpu_cores: z.number().int().positive(),\n memory_gb: z.number().positive(),\n gpu_type: z.string().optional(),\n gpu_count: z.number().int().nonnegative().optional()\n }),\n \n // Deployment configuration\n config: z.object({\n max_concurrent_requests: z.number().int().positive().optional(),\n timeout_ms: z.number().int().positive().optional(),\n auto_scaling: z.boolean().optional(),\n health_check_interval: z.number().int().positive().optional()\n }).optional(),\n \n // Status and health\n status: z.enum(['deploying', 'running', 'stopped', 'error', 'maintenance']),\n health: z.enum(['healthy', 'degraded', 'unhealthy', 'unknown']),\n last_heartbeat: ISODateTime.optional(),\n \n // Performance metrics\n metrics: z.object({\n requests_per_minute: z.number().nonnegative().optional(),\n average_latency_ms: z.number().nonnegative().optional(),\n error_rate: z.number().min(0).max(1).optional(),\n cpu_usage: z.number().min(0).max(1).optional(),\n memory_usage: z.number().min(0).max(1).optional()\n }).optional(),\n \n // Timestamps\n created_at: ISODateTime,\n started_at: ISODateTime.optional(),\n stopped_at: ISODateTime.optional()\n}).strict();\n\n/**\n * Health - Health status of a deployment\n * \n * Real-time h