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* feat: add comprehensive telemetry for partial workflow updates Implement telemetry infrastructure to track workflow mutations from partial update operations. This enables data-driven improvements to partial update tooling by capturing: - Workflow state before and after mutations - User intent and operation patterns - Validation results and improvements - Change metrics (nodes/connections modified) - Success/failure rates and error patterns New Components: - Intent classifier: Categorizes mutation patterns - Intent sanitizer: Removes PII from user instructions - Mutation validator: Ensures data quality before tracking - Mutation tracker: Coordinates validation and metric calculation Extended Components: - TelemetryManager: New trackWorkflowMutation() method - EventTracker: Mutation queue management - BatchProcessor: Mutation data flushing to Supabase MCP Tool Enhancements: - n8n_update_partial_workflow: Added optional 'intent' parameter - n8n_update_full_workflow: Added optional 'intent' parameter - Both tools now track mutations asynchronously Database Schema: - New workflow_mutations table with 20+ fields - Comprehensive indexes for efficient querying - Supports deduplication and data analysis This telemetry system is: - Privacy-focused (PII sanitization, anonymized users) - Non-blocking (async tracking, silent failures) - Production-ready (batching, retries, circuit breaker) - Backward compatible (all parameters optional) Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en * fix: correct SQL syntax for expression index in workflow_mutations schema The expression index for significant changes needs double parentheses around the arithmetic expression to be valid PostgreSQL syntax. Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en * fix: enable RLS policies for workflow_mutations table Enable Row-Level Security and add policies: - Allow anonymous (anon) inserts for telemetry data collection - Allow authenticated reads for data analysis and querying These policies are required for the telemetry system to function correctly with Supabase, as the MCP server uses the anon key to insert mutation data. Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en * fix: reduce mutation auto-flush threshold from 5 to 2 Lower the auto-flush threshold for workflow mutations from 5 to 2 to ensure more timely data persistence. Since mutations are less frequent than regular telemetry events, a lower threshold provides: - Faster data persistence (don't wait for 5 mutations) - Better testing experience (easier to verify with fewer operations) - Reduced risk of data loss if process exits before threshold - More responsive telemetry for low-volume mutation scenarios This complements the existing 5-second periodic flush and process exit handlers, ensuring mutations are persisted promptly. Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en * fix: improve mutation telemetry error logging and diagnostics Changes: - Upgrade error logging from debug to warn level for better visibility - Add diagnostic logging to track mutation processing - Log telemetry disabled state explicitly - Add context info (sessionId, intent, operationCount) to error logs - Remove 'await' from telemetry calls to make them truly non-blocking This will help identify why mutations aren't being persisted to the workflow_mutations table despite successful workflow operations. Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en * feat: enhance workflow mutation telemetry for better AI responses Improve workflow mutation tracking to capture comprehensive data that helps provide better responses when users update workflows. This enhancement collects workflow state, user intent, and operation details to enable more context-aware assistance. Key improvements: - Reduce auto-flush threshold from 5 to 2 for more reliable mutation tracking - Add comprehensive workflow and credential sanitization to mutation tracker - Document intent parameter in workflow update tools for better UX - Fix mutation queue handling in telemetry manager (flush now handles 3 queues) - Add extensive unit tests for mutation tracking and validation (35 new tests) Technical changes: - mutation-tracker.ts: Multi-layer sanitization (workflow, node, parameter levels) - batch-processor.ts: Support mutation data flushing to Supabase - telemetry-manager.ts: Auto-flush mutations at threshold 2, track mutations queue - handlers-workflow-diff.ts: Track workflow mutations with sanitized data - Tests: 13 tests for mutation-tracker, 22 tests for mutation-validator The intent parameter messaging emphasizes user benefit ("helps to return better response") rather than technical implementation details. Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: bump version to 2.22.16 with telemetry changelog Updated package.json and package.runtime.json to version 2.22.16. Added comprehensive CHANGELOG entry documenting workflow mutation telemetry enhancements for better AI-powered workflow assistance. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en Co-Authored-By: Claude <noreply@anthropic.com> * fix: resolve TypeScript lint errors in telemetry tests Fixed type issues in mutation-tracker and mutation-validator tests: - Import and use MutationToolName enum instead of string literals - Fix ValidationResult.errors to use proper object structure - Add UpdateNodeOperation type assertion for operation with nodeName All TypeScript errors resolved, lint now passes. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
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26 KiB
Telemetry Workflow Mutation Tracking Specification
Purpose: Define the technical requirements for capturing workflow mutation data to build the n8n-fixer dataset
Status: Specification Document (Pre-Implementation)
1. Overview
This specification details how to extend the n8n-mcp telemetry system to capture:
- Before State: Complete workflow JSON before modification
- Instruction: The transformation instruction/prompt
- After State: Complete workflow JSON after modification
- Metadata: Timestamps, user ID, success metrics, validation states
2. Schema Design
2.1 New Database Table: workflow_mutations
CREATE TABLE IF NOT EXISTS workflow_mutations (
-- Primary Key & Identifiers
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id TEXT NOT NULL,
workflow_id TEXT, -- n8n workflow ID (nullable for new workflows)
-- Source Workflow Snapshot (Before)
before_workflow_json JSONB NOT NULL, -- Complete workflow definition
before_workflow_hash TEXT NOT NULL, -- SHA-256(before_workflow_json)
before_validation_status TEXT NOT NULL CHECK(before_validation_status IN (
'valid', -- Workflow passes validation
'invalid', -- Has validation errors
'unknown' -- Unknown state (not tested)
)),
before_error_count INTEGER, -- Number of validation errors
before_error_types TEXT[], -- Array: ['type_error', 'missing_field', ...]
-- Mutation Details
instruction TEXT NOT NULL, -- The modification instruction/prompt
instruction_type TEXT NOT NULL CHECK(instruction_type IN (
'ai_generated', -- Generated by AI/LLM
'user_provided', -- User input/request
'auto_fix', -- System auto-correction
'validation_correction' -- Validation rule fix
)),
mutation_source TEXT, -- Which tool/service created the mutation
-- e.g., 'n8n_autofix_workflow', 'validation_engine'
mutation_tool_version TEXT, -- Version of tool that performed mutation
-- Target Workflow Snapshot (After)
after_workflow_json JSONB NOT NULL, -- Complete modified workflow
after_workflow_hash TEXT NOT NULL, -- SHA-256(after_workflow_json)
after_validation_status TEXT NOT NULL CHECK(after_validation_status IN (
'valid',
'invalid',
'unknown'
)),
after_error_count INTEGER, -- Validation errors after mutation
after_error_types TEXT[], -- Remaining error types
-- Mutation Analysis (Pre-calculated for Performance)
nodes_modified TEXT[], -- Array of modified node IDs/names
nodes_added TEXT[], -- New nodes in after state
nodes_removed TEXT[], -- Removed nodes
nodes_modified_count INTEGER, -- Count of modified nodes
nodes_added_count INTEGER,
nodes_removed_count INTEGER,
connections_modified BOOLEAN, -- Were connections/edges changed?
connections_before_count INTEGER, -- Number of connections before
connections_after_count INTEGER, -- Number after
properties_modified TEXT[], -- Changed property paths
-- e.g., ['nodes[0].parameters.url', ...]
properties_modified_count INTEGER,
expressions_modified BOOLEAN, -- Were expressions/formulas changed?
-- Complexity Metrics
complexity_before TEXT CHECK(complexity_before IN (
'simple',
'medium',
'complex'
)),
complexity_after TEXT,
node_count_before INTEGER,
node_count_after INTEGER,
node_types_before TEXT[],
node_types_after TEXT[],
-- Outcome Metrics
mutation_success BOOLEAN, -- Did mutation achieve intended goal?
validation_improved BOOLEAN, -- true if: error_count_after < error_count_before
validation_errors_fixed INTEGER, -- Count of errors fixed
new_errors_introduced INTEGER, -- Errors created by mutation
-- Optional: User Feedback
user_approved BOOLEAN, -- User accepted the mutation?
user_feedback TEXT, -- User comment (truncated)
-- Data Quality & Compression
workflow_size_before INTEGER, -- Byte size of before_workflow_json
workflow_size_after INTEGER, -- Byte size of after_workflow_json
is_compressed BOOLEAN DEFAULT false, -- True if workflows are gzip-compressed
-- Timing
execution_duration_ms INTEGER, -- Time taken to apply mutation
created_at TIMESTAMP DEFAULT NOW(),
-- Metadata
tags TEXT[], -- Custom tags for filtering
metadata JSONB -- Flexible metadata storage
);
2.2 Indexes for Performance
-- User Analysis (User's mutation history)
CREATE INDEX idx_mutations_user_id
ON workflow_mutations(user_id, created_at DESC);
-- Workflow Analysis (Mutations to specific workflow)
CREATE INDEX idx_mutations_workflow_id
ON workflow_mutations(workflow_id, created_at DESC);
-- Mutation Success Rate
CREATE INDEX idx_mutations_success
ON workflow_mutations(mutation_success, created_at DESC);
-- Validation Improvement Analysis
CREATE INDEX idx_mutations_validation_improved
ON workflow_mutations(validation_improved, created_at DESC);
-- Time-series Analysis
CREATE INDEX idx_mutations_created_at
ON workflow_mutations(created_at DESC);
-- Source Analysis
CREATE INDEX idx_mutations_source
ON workflow_mutations(mutation_source, created_at DESC);
-- Instruction Type Analysis
CREATE INDEX idx_mutations_instruction_type
ON workflow_mutations(instruction_type, created_at DESC);
-- Composite: For common query patterns
CREATE INDEX idx_mutations_user_success_time
ON workflow_mutations(user_id, mutation_success, created_at DESC);
CREATE INDEX idx_mutations_source_validation
ON workflow_mutations(mutation_source, validation_improved, created_at DESC);
2.3 Optional: Materialized View for Analytics
-- Pre-calculate common metrics for fast dashboarding
CREATE MATERIALIZED VIEW vw_mutation_analytics AS
SELECT
DATE(created_at) as mutation_date,
instruction_type,
mutation_source,
COUNT(*) as total_mutations,
SUM(CASE WHEN mutation_success THEN 1 ELSE 0 END) as successful_mutations,
SUM(CASE WHEN validation_improved THEN 1 ELSE 0 END) as validation_improved_count,
ROUND(100.0 * COUNT(*) FILTER(WHERE mutation_success = true)
/ NULLIF(COUNT(*), 0), 2) as success_rate,
AVG(nodes_modified_count) as avg_nodes_modified,
AVG(properties_modified_count) as avg_properties_modified,
AVG(execution_duration_ms) as avg_duration_ms,
AVG(before_error_count) as avg_errors_before,
AVG(after_error_count) as avg_errors_after,
AVG(validation_errors_fixed) as avg_errors_fixed
FROM workflow_mutations
GROUP BY DATE(created_at), instruction_type, mutation_source;
CREATE INDEX idx_mutation_analytics_date
ON vw_mutation_analytics(mutation_date DESC);
3. TypeScript Interfaces
3.1 Core Mutation Interface
// In src/telemetry/telemetry-types.ts
export interface WorkflowMutationEvent extends TelemetryEvent {
event: 'workflow_mutation';
properties: {
// Identification
workflowId?: string;
// Hashes for deduplication & integrity
beforeHash: string; // SHA-256 of before state
afterHash: string; // SHA-256 of after state
// Instruction
instruction: string; // The modification prompt/request
instructionType: 'ai_generated' | 'user_provided' | 'auto_fix' | 'validation_correction';
mutationSource?: string; // Tool that created the instruction
// Change Summary
nodesModified: number;
propertiesChanged: number;
connectionsModified: boolean;
expressionsModified: boolean;
// Outcome
mutationSuccess: boolean;
validationImproved: boolean;
errorsBefore: number;
errorsAfter: number;
// Performance
executionDurationMs?: number;
workflowSizeBefore?: number;
workflowSizeAfter?: number;
}
}
export interface WorkflowMutation {
// Primary Key
id: string; // UUID
user_id: string; // Anonymized user
workflow_id?: string; // n8n workflow ID
// Before State
before_workflow_json: any; // Complete workflow
before_workflow_hash: string;
before_validation_status: 'valid' | 'invalid' | 'unknown';
before_error_count?: number;
before_error_types?: string[];
// Mutation
instruction: string;
instruction_type: 'ai_generated' | 'user_provided' | 'auto_fix' | 'validation_correction';
mutation_source?: string;
mutation_tool_version?: string;
// After State
after_workflow_json: any;
after_workflow_hash: string;
after_validation_status: 'valid' | 'invalid' | 'unknown';
after_error_count?: number;
after_error_types?: string[];
// Analysis
nodes_modified?: string[];
nodes_added?: string[];
nodes_removed?: string[];
nodes_modified_count?: number;
connections_modified?: boolean;
properties_modified?: string[];
properties_modified_count?: number;
// Complexity
complexity_before?: 'simple' | 'medium' | 'complex';
complexity_after?: 'simple' | 'medium' | 'complex';
node_count_before?: number;
node_count_after?: number;
// Outcome
mutation_success: boolean;
validation_improved: boolean;
validation_errors_fixed?: number;
new_errors_introduced?: number;
user_approved?: boolean;
// Timing
created_at: string; // ISO 8601
execution_duration_ms?: number;
}
3.2 Mutation Analysis Service
// New file: src/telemetry/mutation-analyzer.ts
export interface MutationDiff {
nodesAdded: string[];
nodesRemoved: string[];
nodesModified: Map<string, PropertyDiff[]>;
connectionsChanged: boolean;
expressionsChanged: boolean;
}
export interface PropertyDiff {
path: string; // e.g., "parameters.url"
beforeValue: any;
afterValue: any;
isExpression: boolean; // Contains {{}} or $json?
}
export class WorkflowMutationAnalyzer {
/**
* Analyze differences between before/after workflows
*/
static analyzeDifferences(
beforeWorkflow: any,
afterWorkflow: any
): MutationDiff {
// Implementation: Deep comparison of workflow structures
// Return detailed diff information
}
/**
* Extract changed property paths
*/
static getChangedProperties(diff: MutationDiff): string[] {
// Implementation
}
/**
* Determine if expression/formula was modified
*/
static hasExpressionChanges(diff: MutationDiff): boolean {
// Implementation
}
/**
* Validate workflow structure
*/
static validateWorkflowStructure(workflow: any): {
isValid: boolean;
errors: string[];
errorTypes: string[];
} {
// Implementation
}
}
4. Integration Points
4.1 TelemetryManager Extension
// In src/telemetry/telemetry-manager.ts
export class TelemetryManager {
// ... existing code ...
/**
* Track workflow mutation (new method)
*/
async trackWorkflowMutation(
beforeWorkflow: any,
instruction: string,
afterWorkflow: any,
options?: {
instructionType?: 'ai_generated' | 'user_provided' | 'auto_fix';
mutationSource?: string;
workflowId?: string;
success?: boolean;
executionDurationMs?: number;
userApproved?: boolean;
}
): Promise<void> {
this.ensureInitialized();
this.performanceMonitor.startOperation('trackWorkflowMutation');
try {
await this.eventTracker.trackWorkflowMutation(
beforeWorkflow,
instruction,
afterWorkflow,
options
);
// Auto-flush mutations to prevent data loss
await this.flush();
} catch (error) {
const telemetryError = error instanceof TelemetryError
? error
: new TelemetryError(
TelemetryErrorType.UNKNOWN_ERROR,
'Failed to track workflow mutation',
{ error: String(error) }
);
this.errorAggregator.record(telemetryError);
} finally {
this.performanceMonitor.endOperation('trackWorkflowMutation');
}
}
}
4.2 EventTracker Extension
// In src/telemetry/event-tracker.ts
export class TelemetryEventTracker {
// ... existing code ...
private mutationQueue: WorkflowMutation[] = [];
private mutationAnalyzer = new WorkflowMutationAnalyzer();
/**
* Track a workflow mutation
*/
async trackWorkflowMutation(
beforeWorkflow: any,
instruction: string,
afterWorkflow: any,
options?: MutationTrackingOptions
): Promise<void> {
if (!this.isEnabled()) return;
try {
// 1. Analyze differences
const diff = this.mutationAnalyzer.analyzeDifferences(
beforeWorkflow,
afterWorkflow
);
// 2. Calculate hashes
const beforeHash = this.calculateHash(beforeWorkflow);
const afterHash = this.calculateHash(afterWorkflow);
// 3. Detect validation changes
const beforeValidation = this.mutationAnalyzer.validateWorkflowStructure(
beforeWorkflow
);
const afterValidation = this.mutationAnalyzer.validateWorkflowStructure(
afterWorkflow
);
// 4. Create mutation record
const mutation: WorkflowMutation = {
id: generateUUID(),
user_id: this.getUserId(),
workflow_id: options?.workflowId,
before_workflow_json: beforeWorkflow,
before_workflow_hash: beforeHash,
before_validation_status: beforeValidation.isValid ? 'valid' : 'invalid',
before_error_count: beforeValidation.errors.length,
before_error_types: beforeValidation.errorTypes,
instruction,
instruction_type: options?.instructionType || 'user_provided',
mutation_source: options?.mutationSource,
after_workflow_json: afterWorkflow,
after_workflow_hash: afterHash,
after_validation_status: afterValidation.isValid ? 'valid' : 'invalid',
after_error_count: afterValidation.errors.length,
after_error_types: afterValidation.errorTypes,
nodes_modified: Array.from(diff.nodesModified.keys()),
nodes_added: diff.nodesAdded,
nodes_removed: diff.nodesRemoved,
properties_modified: this.mutationAnalyzer.getChangedProperties(diff),
connections_modified: diff.connectionsChanged,
mutation_success: options?.success !== false,
validation_improved: afterValidation.errors.length
< beforeValidation.errors.length,
validation_errors_fixed: Math.max(
0,
beforeValidation.errors.length - afterValidation.errors.length
),
created_at: new Date().toISOString(),
execution_duration_ms: options?.executionDurationMs,
user_approved: options?.userApproved
};
// 5. Validate and queue
const validated = this.validator.validateMutation(mutation);
if (validated) {
this.mutationQueue.push(validated);
}
// 6. Track as event for real-time monitoring
this.trackEvent('workflow_mutation', {
beforeHash,
afterHash,
instructionType: options?.instructionType || 'user_provided',
nodesModified: diff.nodesModified.size,
propertiesChanged: diff.properties_modified?.length || 0,
mutationSuccess: options?.success !== false,
validationImproved: mutation.validation_improved,
errorsBefore: beforeValidation.errors.length,
errorsAfter: afterValidation.errors.length
});
} catch (error) {
logger.debug('Failed to track workflow mutation:', error);
throw new TelemetryError(
TelemetryErrorType.VALIDATION_ERROR,
'Failed to process workflow mutation',
{ error: error instanceof Error ? error.message : String(error) }
);
}
}
/**
* Get queued mutations
*/
getMutationQueue(): WorkflowMutation[] {
return [...this.mutationQueue];
}
/**
* Clear mutation queue
*/
clearMutationQueue(): void {
this.mutationQueue = [];
}
/**
* Calculate SHA-256 hash of workflow
*/
private calculateHash(workflow: any): string {
const crypto = require('crypto');
const normalized = JSON.stringify(workflow, null, 0);
return crypto.createHash('sha256').update(normalized).digest('hex');
}
}
4.3 BatchProcessor Extension
// In src/telemetry/batch-processor.ts
export class TelemetryBatchProcessor {
// ... existing code ...
/**
* Flush mutations to Supabase
*/
private async flushMutations(
mutations: WorkflowMutation[]
): Promise<boolean> {
if (this.isFlushingMutations || mutations.length === 0) return true;
this.isFlushingMutations = true;
try {
const batches = this.createBatches(
mutations,
TELEMETRY_CONFIG.MAX_BATCH_SIZE
);
for (const batch of batches) {
const result = await this.executeWithRetry(async () => {
const { error } = await this.supabase!
.from('workflow_mutations')
.insert(batch);
if (error) throw error;
logger.debug(`Flushed batch of ${batch.length} workflow mutations`);
return true;
}, 'Flush workflow mutations');
if (!result) {
this.addToDeadLetterQueue(batch);
return false;
}
}
return true;
} catch (error) {
logger.debug('Failed to flush mutations:', error);
throw new TelemetryError(
TelemetryErrorType.NETWORK_ERROR,
'Failed to flush mutations',
{ error: error instanceof Error ? error.message : String(error) },
true
);
} finally {
this.isFlushingMutations = false;
}
}
}
5. Integration with Workflow Tools
5.1 n8n_autofix_workflow
// Where n8n_autofix_workflow applies fixes
import { telemetry } from '../telemetry';
export async function n8n_autofix_workflow(
workflow: any,
options?: AutofixOptions
): Promise<WorkflowFixResult> {
const beforeWorkflow = JSON.parse(JSON.stringify(workflow)); // Deep copy
try {
// Apply fixes
const fixed = await applyFixes(workflow, options);
// Track mutation
await telemetry.trackWorkflowMutation(
beforeWorkflow,
'Auto-fix validation errors',
fixed,
{
instructionType: 'auto_fix',
mutationSource: 'n8n_autofix_workflow',
success: true,
executionDurationMs: duration
}
);
return fixed;
} catch (error) {
// Track failed mutation attempt
await telemetry.trackWorkflowMutation(
beforeWorkflow,
'Auto-fix validation errors',
beforeWorkflow, // No changes
{
instructionType: 'auto_fix',
mutationSource: 'n8n_autofix_workflow',
success: false
}
);
throw error;
}
}
5.2 n8n_update_partial_workflow
// Partial workflow updates
export async function n8n_update_partial_workflow(
workflow: any,
operations: DiffOperation[]
): Promise<UpdateResult> {
const beforeWorkflow = JSON.parse(JSON.stringify(workflow));
const instructionText = formatOperationsAsInstruction(operations);
try {
const updated = applyOperations(workflow, operations);
await telemetry.trackWorkflowMutation(
beforeWorkflow,
instructionText,
updated,
{
instructionType: 'user_provided',
mutationSource: 'n8n_update_partial_workflow'
}
);
return updated;
} catch (error) {
await telemetry.trackWorkflowMutation(
beforeWorkflow,
instructionText,
beforeWorkflow,
{
instructionType: 'user_provided',
mutationSource: 'n8n_update_partial_workflow',
success: false
}
);
throw error;
}
}
6. Data Quality & Validation
6.1 Mutation Validation Rules
// In src/telemetry/mutation-validator.ts
export class WorkflowMutationValidator {
/**
* Validate mutation data before storage
*/
static validate(mutation: WorkflowMutation): ValidationResult {
const errors: string[] = [];
// Required fields
if (!mutation.user_id) errors.push('user_id is required');
if (!mutation.before_workflow_json) errors.push('before_workflow_json required');
if (!mutation.after_workflow_json) errors.push('after_workflow_json required');
if (!mutation.before_workflow_hash) errors.push('before_workflow_hash required');
if (!mutation.after_workflow_hash) errors.push('after_workflow_hash required');
if (!mutation.instruction) errors.push('instruction is required');
if (!mutation.instruction_type) errors.push('instruction_type is required');
// Hash verification
const beforeHash = calculateHash(mutation.before_workflow_json);
const afterHash = calculateHash(mutation.after_workflow_json);
if (beforeHash !== mutation.before_workflow_hash) {
errors.push('before_workflow_hash mismatch');
}
if (afterHash !== mutation.after_workflow_hash) {
errors.push('after_workflow_hash mismatch');
}
// Deduplication: Skip if before == after
if (beforeHash === afterHash) {
errors.push('before and after states are identical (skipping)');
}
// Size validation
const beforeSize = JSON.stringify(mutation.before_workflow_json).length;
const afterSize = JSON.stringify(mutation.after_workflow_json).length;
if (beforeSize > 10 * 1024 * 1024) {
errors.push('before_workflow_json exceeds 10MB size limit');
}
if (afterSize > 10 * 1024 * 1024) {
errors.push('after_workflow_json exceeds 10MB size limit');
}
// Instruction validation
if (mutation.instruction.length > 5000) {
mutation.instruction = mutation.instruction.substring(0, 5000);
}
if (mutation.instruction.length < 3) {
errors.push('instruction too short (min 3 chars)');
}
// Error count validation
if (mutation.before_error_count && mutation.before_error_count < 0) {
errors.push('before_error_count cannot be negative');
}
if (mutation.after_error_count && mutation.after_error_count < 0) {
errors.push('after_error_count cannot be negative');
}
return {
isValid: errors.length === 0,
errors
};
}
}
6.2 Data Compression Strategy
For large workflows (>1MB):
import { gzipSync, gunzipSync } from 'zlib';
export function compressWorkflow(workflow: any): {
compressed: string; // base64
originalSize: number;
compressedSize: number;
} {
const json = JSON.stringify(workflow);
const buffer = Buffer.from(json, 'utf-8');
const compressed = gzipSync(buffer);
const base64 = compressed.toString('base64');
return {
compressed: base64,
originalSize: buffer.length,
compressedSize: compressed.length
};
}
export function decompressWorkflow(compressed: string): any {
const buffer = Buffer.from(compressed, 'base64');
const decompressed = gunzipSync(buffer);
const json = decompressed.toString('utf-8');
return JSON.parse(json);
}
7. Query Examples for Analysis
7.1 Basic Mutation Statistics
-- Overall mutation metrics
SELECT
COUNT(*) as total_mutations,
COUNT(*) FILTER(WHERE mutation_success) as successful,
COUNT(*) FILTER(WHERE validation_improved) as validation_improved,
ROUND(100.0 * COUNT(*) FILTER(WHERE mutation_success) / COUNT(*), 2) as success_rate,
ROUND(100.0 * COUNT(*) FILTER(WHERE validation_improved) / COUNT(*), 2) as improvement_rate,
AVG(nodes_modified_count) as avg_nodes_modified,
AVG(properties_modified_count) as avg_properties_modified,
AVG(execution_duration_ms)::INTEGER as avg_duration_ms
FROM workflow_mutations
WHERE created_at >= NOW() - INTERVAL '7 days';
7.2 Success by Instruction Type
SELECT
instruction_type,
COUNT(*) as count,
ROUND(100.0 * COUNT(*) FILTER(WHERE mutation_success) / COUNT(*), 2) as success_rate,
ROUND(100.0 * COUNT(*) FILTER(WHERE validation_improved) / COUNT(*), 2) as improvement_rate,
AVG(validation_errors_fixed) as avg_errors_fixed,
AVG(new_errors_introduced) as avg_new_errors
FROM workflow_mutations
WHERE created_at >= NOW() - INTERVAL '30 days'
GROUP BY instruction_type
ORDER BY count DESC;
7.3 Most Common Mutations
SELECT
properties_modified,
COUNT(*) as frequency,
ROUND(100.0 * COUNT(*) / (SELECT COUNT(*) FROM workflow_mutations
WHERE created_at >= NOW() - INTERVAL '30 days'), 2) as percentage
FROM workflow_mutations
WHERE created_at >= NOW() - INTERVAL '30 days'
ORDER BY frequency DESC
LIMIT 20;
7.4 Complexity Impact
SELECT
complexity_before,
complexity_after,
COUNT(*) as transitions,
ROUND(100.0 * COUNT(*) FILTER(WHERE mutation_success) / COUNT(*), 2) as success_rate
FROM workflow_mutations
WHERE created_at >= NOW() - INTERVAL '30 days'
GROUP BY complexity_before, complexity_after
ORDER BY transitions DESC;
8. Implementation Roadmap
Phase 1: Infrastructure (Week 1)
- Create
workflow_mutationstable in Supabase - Add indexes for common query patterns
- Update TypeScript types
- Create mutation analyzer service
- Add mutation validator
Phase 2: Integration (Week 2)
- Extend TelemetryManager with trackWorkflowMutation()
- Extend EventTracker with mutation queue
- Extend BatchProcessor with flush logic
- Add mutation event type
Phase 3: Tool Integration (Week 3)
- Integrate with n8n_autofix_workflow
- Integrate with n8n_update_partial_workflow
- Add test cases
- Documentation
Phase 4: Validation & Analysis (Week 4)
- Run sample queries
- Validate data quality
- Create analytics dashboard
- Begin dataset collection
9. Security & Privacy Considerations
- No Credentials: Sanitizer strips credentials before storage
- No Secrets: Workflow secret references removed
- User Anonymity: User ID is anonymized
- Hash Verification: All workflow hashes verified before storage
- Size Limits: 10MB max per workflow (with compression option)
- Retention: Define data retention policy separately
- Encryption: Enable Supabase encryption at rest
- Access Control: Restrict table access to application-level only
10. Performance Considerations
| Aspect | Target | Strategy |
|---|---|---|
| Batch Flush | <5s latency | 5-second flush interval + auto-flush |
| Large Workflows | >1MB support | Gzip compression + base64 encoding |
| Query Performance | <100ms | Strategic indexing + materialized views |
| Storage Growth | <50GB/month | Compression + retention policies |
| Network Throughput | <1MB/batch | Compress before transmission |
End of Specification