feat: comprehensive import progress tracking for all 7 formats

Add real-time progress reporting throughout the entire import pipeline
with a standardized API that works across all supported formats.

Workshop Team Feature Request:
- Eliminates "0% complete" hangs during AI extraction
- Shows continuous progress with entities/sec, throughput, ETA
- Reports contextual messages ("Processing page 5 of 23")
- Standardized progress API for CSV, PDF, Excel, JSON, Markdown, YAML, DOCX

Core Changes:
- Add FormatHandlerProgressHooks interface for extensible progress
- Wire up all 3 binary format handlers (CSV, PDF, Excel) with 7+ progress points
- Wire up all 4 text format importers (JSON, Markdown, YAML, DOCX)
- Add ImportProgress interface with stage, message, counts, throughput, ETA
- ImportCoordinator normalizes all format progress to standard interface

CLI Improvements:
- Import command now uses brain.import() directly with full progress
- Add --include-vfs flag to find command (v4.4.0 compatibility)
- Add --confidence and --weight options to add command

Documentation:
- docs/guides/standard-import-progress.md - Universal API guide
- docs/guides/import-progress-implementation.md - Developer guide
- docs/guides/import-progress-examples.md - Practical examples
- JSDoc on brain.import() with universal handler examples

Result: ONE progress handler works for ALL 7 formats with zero format-specific code!

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
David Snelling 2025-10-24 14:45:46 -07:00
parent e7ea9c4e4b
commit d5576ffb56
20 changed files with 3967 additions and 52 deletions

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# Import Progress - Usage Examples
**How to Use Progress Tracking in Your Applications**
Brainy v4.5.0+ provides real-time progress tracking for **all 7 supported file formats** (CSV, PDF, Excel, JSON, Markdown, YAML, DOCX).
> **⚠️ KEY FEATURE:** The progress API is **100% standardized**. Write your progress handler ONCE and it works for ALL formats with zero format-specific code! See [Standard Import Progress API](./standard-import-progress.md) for the complete interface documentation.
---
## 🚀 Quick Start
### Basic Progress Tracking
```typescript
import { Brainy } from '@soulcraft/brainy'
import * as fs from 'fs'
const brain = await Brainy.create()
// Import with progress tracking
const result = await brain.import(fs.readFileSync('large-file.xlsx'), {
onProgress: (progress) => {
console.log(`Progress: ${progress.stage}`)
console.log(` Message: ${progress.message}`)
console.log(` Entities: ${progress.entities || 0}`)
console.log(` Relationships: ${progress.relationships || 0}`)
}
})
console.log(`Import complete: ${result.entities.length} entities created`)
```
**Expected Output:**
```
Progress: detecting
Message: Detecting format...
Entities: 0
Relationships: 0
Progress: extracting
Message: Loading Excel workbook...
Entities: 0
Relationships: 0
Progress: extracting
Message: Reading sheet: Sales (1/3)
Entities: 0
Relationships: 0
Progress: extracting
Message: Parsing Excel (33%)
Entities: 0
Relationships: 0
Progress: extracting
Message: Reading sheet: Products (2/3)
Entities: 0
Relationships: 0
... (more progress updates)
Progress: complete
Message: Import complete
Entities: 1523
Relationships: 892
Import complete: 1523 entities created
```
---
## 🎯 Universal Progress Handler (Works for ALL Formats)
The examples below show format-specific messages, but **you don't need format-specific code**! The `ImportProgress` interface is the same for all formats:
```typescript
// ONE HANDLER FOR ALL FORMATS!
function universalProgressHandler(progress) {
console.log(`[${progress.stage}] ${progress.message}`)
if (progress.processed && progress.total) {
console.log(` Progress: ${progress.processed}/${progress.total}`)
}
if (progress.entities || progress.relationships) {
console.log(` Extracted: ${progress.entities || 0} entities, ${progress.relationships || 0} relationships`)
}
if (progress.throughput && progress.eta) {
console.log(` Rate: ${progress.throughput.toFixed(1)}/sec, ETA: ${Math.round(progress.eta/1000)}s`)
}
}
// Use it for ANY format!
await brain.import(csvBuffer, { onProgress: universalProgressHandler })
await brain.import(pdfBuffer, { onProgress: universalProgressHandler })
await brain.import(excelBuffer, { onProgress: universalProgressHandler })
await brain.import(jsonBuffer, { onProgress: universalProgressHandler })
await brain.import(markdownString, { onProgress: universalProgressHandler })
await brain.import(yamlBuffer, { onProgress: universalProgressHandler })
await brain.import(docxBuffer, { onProgress: universalProgressHandler })
```
---
## 📊 What Different Formats Look Like (Same Handler!)
The examples below show **what messages look like** for different formats using the **same universal handler** above.
### CSV Import (Row-by-Row Progress)
```typescript
await brain.import(csvBuffer, {
format: 'csv',
onProgress: (progress) => {
if (progress.stage === 'extracting') {
// CSV reports: "Parsing CSV (45%)", "Extracted 1000 rows", etc.
console.log(progress.message)
}
}
})
```
**CSV Progress Messages:**
- ✅ "Detecting CSV encoding and delimiter..."
- ✅ "Parsing CSV rows (delimiter: ",")"
- ✅ "Parsed 75%" (via bytes processed)
- ✅ "Extracted 1000 rows"
- ✅ "Converting types: 5000/10000 rows..."
- ✅ "CSV processing complete: 10000 rows"
---
### PDF Import (Page-by-Page Progress)
```typescript
await brain.import(pdfBuffer, {
format: 'pdf',
onProgress: (progress) => {
// PDF reports exact page numbers
console.log(progress.message)
// Example: "Processing page 5 of 23"
}
})
```
**PDF Progress Messages:**
- ✅ "Loading PDF document..."
- ✅ "Processing 23 pages..."
- ✅ "Processing page 5 of 23"
- ✅ "Parsed 22%" (via bytes processed)
- ✅ "Extracted 156 items from PDF"
- ✅ "PDF complete: 23 pages, 156 items extracted"
---
### Excel Import (Sheet-by-Sheet Progress)
```typescript
await brain.import(excelBuffer, {
format: 'excel',
onProgress: (progress) => {
// Excel reports sheet names
console.log(progress.message)
// Example: "Reading sheet: Q2 Sales (2/5)"
}
})
```
**Excel Progress Messages:**
- ✅ "Loading Excel workbook..."
- ✅ "Processing 3 sheets..."
- ✅ "Reading sheet: Sales (1/3)"
- ✅ "Parsing Excel (33%)" (via bytes processed)
- ✅ "Extracted 5234 rows from Excel"
- ✅ "Excel complete: 3 sheets, 5234 rows"
---
### JSON Import (Node Traversal)
```typescript
await brain.import(jsonBuffer, {
format: 'json',
onProgress: (progress) => {
// JSON reports every 10 nodes
console.log(`Processed ${progress.processed} nodes, found ${progress.entities} entities`)
}
})
```
---
### Markdown Import (Section-by-Section)
```typescript
await brain.import(markdownString, {
format: 'markdown',
onProgress: (progress) => {
console.log(`Section ${progress.processed}/${progress.total}`)
}
})
```
---
## 🎯 Building Progress UI Components
### React Progress Bar
```typescript
function ImportProgress({ file }: { file: File }) {
const [progress, setProgress] = useState({
stage: 'idle',
message: '',
percent: 0,
entities: 0,
relationships: 0
})
const handleImport = async () => {
const buffer = await file.arrayBuffer()
await brain.import(Buffer.from(buffer), {
onProgress: (p) => {
setProgress({
stage: p.stage,
message: p.message,
// Estimate percentage from stage
percent: {
detecting: 10,
extracting: 50,
'storing-vfs': 80,
'storing-graph': 90,
complete: 100
}[p.stage] || 0,
entities: p.entities || 0,
relationships: p.relationships || 0
})
}
})
}
return (
<div>
<ProgressBar value={progress.percent} />
<p>{progress.message}</p>
<p>Entities: {progress.entities} | Relationships: {progress.relationships}</p>
</div>
)
}
```
---
### CLI Progress Spinner
```typescript
import ora from 'ora'
const spinner = ora('Starting import...').start()
await brain.import(buffer, {
onProgress: (progress) => {
spinner.text = progress.message
if (progress.stage === 'complete') {
spinner.succeed(`Import complete: ${progress.entities} entities`)
}
}
})
```
**CLI Output:**
```
⠋ Detecting format...
⠙ Loading Excel workbook...
⠹ Reading sheet: Sales (1/3)
⠸ Parsing Excel (33%)
⠼ Reading sheet: Products (2/3)
...
✔ Import complete: 1523 entities
```
---
### Progress Dashboard with ETA
```typescript
let startTime = Date.now()
let lastUpdate = startTime
await brain.import(buffer, {
onProgress: (progress) => {
const elapsed = Date.now() - startTime
const rate = progress.entities / (elapsed / 1000) // entities/sec
console.clear()
console.log('Import Progress Dashboard')
console.log('========================')
console.log(`Stage: ${progress.stage}`)
console.log(`Status: ${progress.message}`)
console.log(`Entities: ${progress.entities}`)
console.log(`Relationships: ${progress.relationships}`)
console.log(`Rate: ${rate.toFixed(1)} entities/sec`)
console.log(`Elapsed: ${(elapsed / 1000).toFixed(1)}s`)
}
})
```
---
## 🔧 Advanced: Format-Specific Optimization
### Detecting Format to Show Appropriate Progress
```typescript
const formatMessages = {
csv: (p) => `CSV: ${p.message}`,
pdf: (p) => `PDF: ${p.message}`,
excel: (p) => `Excel: ${p.message}`,
json: (p) => `JSON: ${p.processed} nodes, ${p.entities} entities`,
markdown: (p) => `Markdown: Section ${p.processed}/${p.total}`,
yaml: (p) => `YAML: ${p.processed} nodes`,
docx: (p) => `DOCX: ${p.processed} paragraphs`
}
await brain.import(buffer, {
onProgress: (progress) => {
// Format is available in progress.stage metadata
const message = formatMessages[detectedFormat]?.(progress) || progress.message
console.log(message)
}
})
```
---
## ⚡ Performance Tips
### Throttle UI Updates
```typescript
let lastUIUpdate = 0
const THROTTLE_MS = 100 // Update UI max once per 100ms
await brain.import(buffer, {
onProgress: (progress) => {
const now = Date.now()
if (now - lastUIUpdate < THROTTLE_MS && progress.stage !== 'complete') {
return // Skip this update
}
lastUIUpdate = now
updateUI(progress) // Only update every 100ms
}
})
```
**Note:** Brainy already throttles progress callbacks internally, but additional UI throttling can help with heavy rendering.
---
## 📝 Summary
**All 7 formats** have consistent progress reporting
**Real-time updates** during long imports (no more "0%" hangs)
**Contextual messages** show exactly what's happening
**Build reliable tools** with standardized progress callbacks
**Workshop team problem SOLVED** - users see progress throughout import
**Files Modified:**
- 3 handlers: `csvHandler.ts`, `pdfHandler.ts`, `excelHandler.ts`
- 7 importers: `SmartCSVImporter.ts`, `SmartPDFImporter.ts`, `SmartExcelImporter.ts`, `SmartJSONImporter.ts`, `SmartMarkdownImporter.ts`, `SmartYAMLImporter.ts`, `SmartDOCXImporter.ts`
**Result:** Comprehensive, consistent progress tracking across ALL import formats!

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# Import Progress Implementation Guide
**For Developers: How to Add Progress Tracking to ANY File Handler**
> This guide shows the **standard pattern** for implementing rich progress tracking in Brainy import handlers. Follow this template for **all 7 supported formats** (CSV, PDF, Excel, JSON, Markdown, YAML, DOCX) or any future file format.
---
## 📊 Supported Formats & Consistent Progress Reporting
> **⚠️ IMPORTANT FOR DEVELOPERS:** The public API (`ImportProgress`) is 100% standardized across all formats. You can build ONE progress handler that works for CSV, PDF, Excel, JSON, Markdown, YAML, and DOCX with **zero format-specific code**. See [Standard Import Progress API](./standard-import-progress.md) for details.
**ALL 7 formats now have consistent, standardized progress reporting** for building reliable import tools:
| Format | Category | Progress Points | File Location | Status |
|--------|----------|-----------------|---------------|--------|
| **CSV** | Tabular | Parsing → Row extraction → Type conversion → Complete | `handlers/csvHandler.ts` + `SmartCSVImporter.ts` | ✅ Complete |
| **PDF** | Document | Loading → Page-by-page → Item extraction → Complete | `handlers/pdfHandler.ts` + `SmartPDFImporter.ts` | ✅ Complete |
| **Excel** | Tabular | Loading → Sheet-by-sheet → Row extraction → Type conversion → Complete | `handlers/excelHandler.ts` + `SmartExcelImporter.ts` | ✅ Complete |
| **JSON** | Structured | Parsing → Node traversal (every 10 nodes) → Complete | `SmartJSONImporter.ts` | ✅ Complete |
| **Markdown** | Document | Parsing → Section-by-section → Complete | `SmartMarkdownImporter.ts` | ✅ Complete |
| **YAML** | Structured | Parsing → Node traversal (every 10 nodes) → Complete | `SmartYAMLImporter.ts` | ✅ Complete |
| **DOCX** | Document | Parsing → Paragraph-by-paragraph (every 10) → Complete | `SmartDOCXImporter.ts` | ✅ Complete |
### The Standard Public API
**Developers calling `brain.import()` see ONE standardized interface** regardless of format:
```typescript
// THE PUBLIC API - Same for ALL 7 formats!
brain.import(buffer, {
onProgress: (progress: ImportProgress) => {
// These fields work for CSV, PDF, Excel, JSON, Markdown, YAML, DOCX
progress.stage // 'detecting' | 'extracting' | 'storing-vfs' | 'storing-graph' | 'complete'
progress.message // Human-readable status (varies by format, always readable)
progress.processed // Items processed (optional)
progress.total // Total items (optional)
progress.entities // Entities extracted (optional)
progress.relationships // Relationships inferred (optional)
progress.throughput // Items/sec (optional, during extraction)
progress.eta // Time remaining in ms (optional)
}
})
```
**Internal Implementation** (for developers adding new format handlers):
The table below shows how formats implement progress *internally*. Normal developers don't need to know this - they just use the standard `ImportProgress` interface above!
```typescript
// Internal: Binary formats use handler hooks (you added these!)
interface FormatHandlerProgressHooks {
onBytesProcessed?: (bytes: number) => void
onCurrentItem?: (message: string) => void
onDataExtracted?: (count: number, total?: number) => void
}
// Internal: Text formats use importer callbacks
interface ImporterProgressCallback {
onProgress?: (stats: { processed, total, entities, relationships }) => void
}
// Both are converted to ImportProgress by ImportCoordinator!
```
### Developer Benefits
**Consistent API** - Same pattern across all 7 formats
**Throttled Updates** - Progress reported every 10-1000 items (no spam)
**Contextual Messages** - "Processing page 5 of 23", "Reading sheet: Sales (2/5)"
**Real-time Estimates** - Users see progress during long imports
**Build Monitoring Tools** - Reliable progress data for UIs, dashboards, CLI tools
---
## 🎯 Overview
As of v4.5.0, Brainy supports comprehensive, multi-dimensional progress tracking for imports:
- **Bytes processed** (always available, most deterministic)
- **Entities extracted** (AI extraction phase)
- **Stage-specific metrics** (parsing: MB/s, extraction: entities/s)
- **Time estimates** (remaining time, total time)
- **Context information** ("Processing page 5 of 23")
All handlers follow a simple, consistent pattern using **progress hooks**.
---
## 📋 The Progress Hooks Pattern
### 1. Progress Hooks Interface
```typescript
export interface FormatHandlerProgressHooks {
/**
* Report bytes processed
* Call this as you read/parse the file
*/
onBytesProcessed?: (bytes: number) => void
/**
* Set current processing context
* Examples: "Processing page 5", "Reading sheet: Q2 Sales"
*/
onCurrentItem?: (item: string) => void
/**
* Report structured data extraction progress
* Examples: "Extracted 100 rows", "Parsed 50 paragraphs"
*/
onDataExtracted?: (count: number, total?: number) => void
}
```
### 2. Handler Options (Automatic)
Progress hooks are automatically passed to your handler via `FormatHandlerOptions`:
```typescript
export interface FormatHandlerOptions {
// ... existing options ...
/**
* Progress hooks (v4.5.0)
* Handlers call these to report progress during processing
*/
progressHooks?: FormatHandlerProgressHooks
/**
* Total file size in bytes (v4.5.0)
* Used for progress percentage calculation
*/
totalBytes?: number
}
```
**You don't need to modify FormatHandlerOptions** - it's already done!
### 3. Standard Implementation Pattern
Every handler follows these 5 steps:
```typescript
async process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData> {
const progressHooks = options.progressHooks // Step 1: Get hooks
// Step 2: Report initial progress
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem('Starting import...')
}
// Step 3: Report bytes as you process
const buffer = Buffer.isBuffer(data) ? data : Buffer.from(data)
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(0) // Start
}
// ... do parsing ...
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(buffer.length) // Complete
}
// Step 4: Report data extraction
if (progressHooks?.onDataExtracted) {
progressHooks.onDataExtracted(data.length, data.length)
}
// Step 5: Report completion
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Complete: ${data.length} items processed`)
}
return { format, data, metadata }
}
```
---
## 📚 Complete Example: CSV Handler
Here's the **ACTUAL implementation** from CSV handler showing all the key progress points:
```typescript
async process(data: Buffer | string, options: FormatHandlerOptions): Promise<ProcessedData> {
const startTime = Date.now()
const progressHooks = options.progressHooks // ✅ Step 1
// Convert to buffer if string
const buffer = Buffer.isBuffer(data) ? data : Buffer.from(data, 'utf-8')
const totalBytes = buffer.length
// ✅ Step 2: Report start
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(0)
}
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem('Detecting CSV encoding and delimiter...')
}
// Detect encoding
const detectedEncoding = options.encoding || this.detectEncodingSafe(buffer)
const text = buffer.toString(detectedEncoding as BufferEncoding)
// Detect delimiter
const delimiter = options.csvDelimiter || this.detectDelimiter(text)
// ✅ Progress update: Parsing phase
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Parsing CSV rows (delimiter: "${delimiter}")...`)
}
// Parse CSV
const records = parse(text, { /* options */ })
// ✅ Step 3: Report bytes processed (entire file parsed)
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(totalBytes)
}
const data = Array.isArray(records) ? records : [records]
// ✅ Step 4: Report data extraction
if (progressHooks?.onDataExtracted) {
progressHooks.onDataExtracted(data.length, data.length)
}
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Extracted ${data.length} rows, inferring types...`)
}
// Type inference and conversion
const fields = data.length > 0 ? Object.keys(data[0]) : []
const types = this.inferFieldTypes(data)
const convertedData = data.map((row, index) => {
const converted = this.convertRow(row, types)
// ✅ Progress update every 1000 rows (avoid spam)
if (progressHooks?.onCurrentItem && index > 0 && index % 1000 === 0) {
progressHooks.onCurrentItem(`Converting types: ${index}/${data.length} rows...`)
}
return converted
})
// ✅ Step 5: Report completion
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`CSV processing complete: ${convertedData.length} rows`)
}
return {
format: this.format,
data: convertedData,
metadata: { /* ... */ }
}
}
```
### Key Progress Points in CSV Handler
| Progress Point | Hook Used | Message Example |
|----------------|-----------|-----------------|
| **Start** | `onCurrentItem` | "Detecting CSV encoding and delimiter..." |
| **Start bytes** | `onBytesProcessed(0)` | 0 bytes |
| **Parsing** | `onCurrentItem` | "Parsing CSV rows (delimiter: \",\")..." |
| **Bytes complete** | `onBytesProcessed(totalBytes)` | All bytes read |
| **Data extracted** | `onDataExtracted(count, total)` | Number of rows extracted |
| **Type conversion** | `onCurrentItem` (every 1000 rows) | "Converting types: 5000/10000 rows..." |
| **Complete** | `onCurrentItem` | "CSV processing complete: 10000 rows" |
---
## 📖 Implementation Guide by File Type
### Supported Formats
Brainy supports **7 file formats** with full progress tracking:
**Binary Formats** (use handlers):
1. **CSV** - Row-by-row parsing with type inference
2. **PDF** - Page-by-page extraction with table detection
3. **Excel** - Sheet-by-sheet processing with formula evaluation
**Text/Structured Formats** (parse inline):
4. **JSON** - Recursive traversal of nested structures
5. **Markdown** - Section-by-section with heading extraction
6. **YAML** - Hierarchical traversal with relationship inference
7. **DOCX** - Paragraph-by-paragraph with structure analysis
---
### PDF Handler (Multi-Page)
```typescript
async process(data: Buffer, options: FormatHandlerOptions): Promise<ProcessedData> {
const progressHooks = options.progressHooks
const totalBytes = data.length
// Report start
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem('Loading PDF document...')
}
const pdfDoc = await loadPDF(data)
const totalPages = pdfDoc.numPages
const extractedData: any[] = []
let bytesProcessed = 0
for (let pageNum = 1; pageNum <= totalPages; pageNum++) {
// ✅ Report current page
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Processing page ${pageNum} of ${totalPages}`)
}
const page = await pdfDoc.getPage(pageNum)
const text = await page.getTextContent()
extractedData.push(this.processPageText(text))
// ✅ Estimate bytes processed (pages are sequential)
bytesProcessed = Math.floor((pageNum / totalPages) * totalBytes)
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(bytesProcessed)
}
// ✅ Report extraction progress
if (progressHooks?.onDataExtracted) {
progressHooks.onDataExtracted(pageNum, totalPages)
}
}
// Final progress
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(totalBytes)
}
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`PDF complete: ${totalPages} pages processed`)
}
return { format: 'pdf', data: extractedData, metadata: { /* ... */ } }
}
```
### Excel Handler (Multi-Sheet)
```typescript
async process(data: Buffer, options: FormatHandlerOptions): Promise<ProcessedData> {
const progressHooks = options.progressHooks
const totalBytes = data.length
// Load workbook
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem('Loading Excel workbook...')
}
const workbook = XLSX.read(data)
const sheetNames = options.excelSheets === 'all'
? workbook.SheetNames
: (options.excelSheets || [workbook.SheetNames[0]])
const allData: any[] = []
let bytesProcessed = 0
for (let i = 0; i < sheetNames.length; i++) {
const sheetName = sheetNames[i]
// ✅ Report current sheet
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Reading sheet: ${sheetName} (${i + 1}/${sheetNames.length})`)
}
const sheet = workbook.Sheets[sheetName]
const sheetData = XLSX.utils.sheet_to_json(sheet)
allData.push(...sheetData)
// ✅ Estimate bytes processed (sheets processed sequentially)
bytesProcessed = Math.floor(((i + 1) / sheetNames.length) * totalBytes)
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(bytesProcessed)
}
// ✅ Report data extraction
if (progressHooks?.onDataExtracted) {
progressHooks.onDataExtracted(allData.length, undefined) // Total unknown until done
}
}
// Final progress
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(totalBytes)
}
if (progressHooks?.onCurrentItem) {
progressHooks.onCurrentItem(`Excel complete: ${sheetNames.length} sheets, ${allData.length} rows`)
}
return { format: 'xlsx', data: allData, metadata: { /* ... */ } }
}
```
### JSON Importer (Recursive Traversal)
```typescript
async extract(data: any, options: SmartJSONOptions = {}): Promise<SmartJSONResult> {
// ✅ Report parsing start
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Parse JSON if string
let jsonData = typeof data === 'string' ? JSON.parse(data) : data
// ✅ Report parsing complete
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Traverse and extract (reports progress every 10 nodes)
const entities: ExtractedJSONEntity[] = []
const relationships: ExtractedJSONRelationship[] = []
let nodesProcessed = 0
await this.traverseJSON(
jsonData,
entities,
relationships,
() => {
nodesProcessed++
if (nodesProcessed % 10 === 0) {
options.onProgress?.({
processed: nodesProcessed,
entities: entities.length,
relationships: relationships.length
})
}
}
)
// ✅ Report completion
options.onProgress?.({
processed: nodesProcessed,
entities: entities.length,
relationships: relationships.length
})
return { nodesProcessed, entitiesExtracted: entities.length, ... }
}
```
### Markdown Importer (Section-Based)
```typescript
async extract(markdown: string, options: SmartMarkdownOptions = {}): Promise<SmartMarkdownResult> {
// ✅ Report parsing start
options.onProgress?.({ processed: 0, total: 0, entities: 0, relationships: 0 })
// Parse markdown into sections
const parsedSections = this.parseMarkdown(markdown, options)
// ✅ Report parsing complete
options.onProgress?.({ processed: 0, total: parsedSections.length, entities: 0, relationships: 0 })
// Process each section (reports progress after each section)
const sections: MarkdownSection[] = []
for (let i = 0; i < parsedSections.length; i++) {
const section = await this.processSection(parsedSections[i], options)
sections.push(section)
options.onProgress?.({
processed: i + 1,
total: parsedSections.length,
entities: sections.reduce((sum, s) => sum + s.entities.length, 0),
relationships: sections.reduce((sum, s) => sum + s.relationships.length, 0)
})
}
// ✅ Report completion
options.onProgress?.({
processed: sections.length,
total: sections.length,
entities: sections.reduce((sum, s) => sum + s.entities.length, 0),
relationships: sections.reduce((sum, s) => sum + s.relationships.length, 0)
})
return { sectionsProcessed: sections.length, ... }
}
```
### YAML Importer (Hierarchical)
```typescript
async extract(yamlContent: string | Buffer, options: SmartYAMLOptions = {}): Promise<SmartYAMLResult> {
// ✅ Report parsing start
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Parse YAML
const yamlString = typeof yamlContent === 'string' ? yamlContent : yamlContent.toString('utf-8')
const data = yaml.load(yamlString)
// ✅ Report parsing complete
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Traverse YAML structure (reports progress every 10 nodes)
// ... similar to JSON traversal ...
// ✅ Report completion (already implemented)
options.onProgress?.({
processed: nodesProcessed,
entities: entities.length,
relationships: relationships.length
})
return { nodesProcessed, entitiesExtracted: entities.length, ... }
}
```
### DOCX Importer (Paragraph-Based)
```typescript
async extract(buffer: Buffer, options: SmartDOCXOptions = {}): Promise<SmartDOCXResult> {
// ✅ Report parsing start
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Extract text and HTML using Mammoth
const textResult = await mammoth.extractRawText({ buffer })
const htmlResult = await mammoth.convertToHtml({ buffer })
// ✅ Report parsing complete
options.onProgress?.({ processed: 0, entities: 0, relationships: 0 })
// Process paragraphs (reports progress every 10 paragraphs)
const paragraphs = textResult.value.split(/\n\n+/).filter(p => p.trim().length >= minLength)
for (let i = 0; i < paragraphs.length; i++) {
await this.processParagraph(paragraphs[i])
if (i % 10 === 0) {
options.onProgress?.({
processed: i + 1,
entities: entities.length,
relationships: relationships.length
})
}
}
// ✅ Report completion (already implemented)
options.onProgress?.({
processed: paragraphs.length,
entities: entities.length,
relationships: relationships.length
})
return { paragraphsProcessed: paragraphs.length, ... }
}
```
---
## 🎯 Best Practices
### 1. Always Check if Hooks Exist
Progress hooks are **optional**. Always check before calling:
```typescript
// ✅ Good - safe
if (progressHooks?.onBytesProcessed) {
progressHooks.onBytesProcessed(bytes)
}
// ❌ Bad - will crash if hooks undefined
progressHooks.onBytesProcessed(bytes) // TypeError!
```
### 2. Report Bytes at Start and End
```typescript
// ✅ Good - clear start and end
progressHooks?.onBytesProcessed(0) // Start
// ... processing ...
progressHooks?.onBytesProcessed(totalBytes) // End
// ❌ Bad - no clear boundaries
// ... just start processing without reporting start
```
### 3. Throttle Frequent Updates
```typescript
// ✅ Good - report every 1000 items
for (let i = 0; i < items.length; i++) {
processItem(items[i])
if (i > 0 && i % 1000 === 0) {
progressHooks?.onCurrentItem(`Processing: ${i}/${items.length}`)
}
}
// ❌ Bad - report EVERY item (spam!)
for (let i = 0; i < items.length; i++) {
processItem(items[i])
progressHooks?.onCurrentItem(`Processing: ${i}/${items.length}`) // 1M callbacks!
}
```
### 4. Provide Contextual Messages
```typescript
// ✅ Good - specific and helpful
progressHooks?.onCurrentItem('Parsing CSV rows (delimiter: ",")')
progressHooks?.onCurrentItem('Processing page 5 of 23')
progressHooks?.onCurrentItem('Reading sheet: Q2 Sales Data')
// ❌ Bad - vague
progressHooks?.onCurrentItem('Processing...')
progressHooks?.onCurrentItem('Working...')
```
### 5. Report Data Extraction with Totals (if known)
```typescript
// ✅ Good - total known
progressHooks?.onDataExtracted(100, 1000) // 100 of 1000 rows
// ✅ Also good - total unknown (streaming)
progressHooks?.onDataExtracted(100, undefined) // 100 rows so far
// ✅ Also good - complete
progressHooks?.onDataExtracted(1000, 1000) // All 1000 rows
```
---
## 🔧 Testing Your Handler
### Manual Test
```typescript
import { CSVHandler } from './csvHandler.js'
import * as fs from 'fs'
const handler = new CSVHandler()
const data = fs.readFileSync('./test.csv')
const result = await handler.process(data, {
filename: 'test.csv',
progressHooks: {
onBytesProcessed: (bytes) => {
console.log(`Bytes: ${bytes}`)
},
onCurrentItem: (item) => {
console.log(`Status: ${item}`)
},
onDataExtracted: (count, total) => {
console.log(`Extracted: ${count}${total ? `/${total}` : ''}`)
}
}
})
console.log(`Complete: ${result.data.length} rows`)
```
### Expected Output
```
Status: Detecting CSV encoding and delimiter...
Bytes: 0
Status: Parsing CSV rows (delimiter: ",")...
Bytes: 52438
Extracted: 1000/1000
Status: Extracted 1000 rows, inferring types...
Status: CSV processing complete: 1000 rows
Complete: 1000 rows
```
---
## 📊 Progress Flow Diagram
```
User Imports File
ImportManager
Creates ProgressTracker
Calls Handler.process() with progressHooks
Handler Reports Progress:
├─ onBytesProcessed(0) → ProgressTracker → overall_progress calculated
├─ onCurrentItem("Parsing...") → ProgressTracker → stage_message updated
├─ onBytesProcessed(bytes) → ProgressTracker → bytes_per_second calculated
├─ onDataExtracted(count) → ProgressTracker → entities_extracted updated
└─ onCurrentItem("Complete") → ProgressTracker → final progress
ProgressTracker emits to callback (throttled 100ms)
User sees:
"Overall: 45% | PARSING | 12.5 MB/s | Parsing CSV rows..."
```
---
## ✅ Checklist for New Handlers
When implementing a new file format handler:
- [ ] Get `progressHooks` from `options`
- [ ] Get `totalBytes` (if available)
- [ ] Report `onBytesProcessed(0)` at start
- [ ] Report `onCurrentItem()` for key stages
- [ ] Report `onBytesProcessed()` as you process
- [ ] Report `onDataExtracted()` when you extract data
- [ ] Throttle frequent updates (every 1000 items max)
- [ ] Report `onBytesProcessed(totalBytes)` at end
- [ ] Report final `onCurrentItem()` with summary
- [ ] Test with progress callback to verify output
---
## 🎓 Summary
**The Pattern (5 Steps)**:
1. Get `progressHooks` from options
2. Report start (`onBytesProcessed(0)`, `onCurrentItem("Starting...")`)
3. Report progress as you process (`onBytesProcessed(bytes)`, `onCurrentItem("Page 5...")`)
4. Report data extraction (`onDataExtracted(count, total)`)
5. Report completion (`onBytesProcessed(totalBytes)`, `onCurrentItem("Complete")`)
**Always Check**: `progressHooks?.method()`
**Throttle**: Report every N items, not every single item
**Context**: Provide specific, helpful messages
**Testing**: Use manual test with console.log callbacks
---
**This pattern makes it trivial to add progress tracking to ANY file format. Copy this template and adapt for your handler!**

View file

@ -0,0 +1,453 @@
# Standard Import Progress API
## ✅ Build Once, Works for ALL Formats
**Brainy provides a 100% standardized progress API** - write your UI/tool once, and it works for all 7 supported formats (CSV, PDF, Excel, JSON, Markdown, YAML, DOCX) with **zero format-specific code**.
---
## 🎯 The Standard Interface
### One Interface for Everything
```typescript
import { Brainy } from '@soulcraft/brainy'
const brain = await Brainy.create()
// THIS CODE WORKS FOR ALL 7 FORMATS - NO FORMAT-SPECIFIC LOGIC NEEDED!
await brain.import(anyBuffer, {
onProgress: (progress) => {
// Standard fields - ALWAYS available regardless of format
console.log(progress.stage) // Current stage
console.log(progress.message) // Human-readable status
// Optional fields - available when relevant
console.log(progress.processed) // Items processed so far
console.log(progress.total) // Total items (if known)
console.log(progress.entities) // Entities extracted
console.log(progress.relationships) // Relationships inferred
console.log(progress.throughput) // Items/sec (during extraction)
console.log(progress.eta) // Time remaining in ms
}
})
```
### The Complete Interface
```typescript
interface ImportProgress {
// === ALWAYS PRESENT ===
/** High-level stage (5 stages for all formats) */
stage: 'detecting' | 'extracting' | 'storing-vfs' | 'storing-graph' | 'complete'
/** Human-readable status message */
message: string
// === AVAILABLE WHEN RELEVANT ===
/** Items processed (rows, pages, nodes, etc.) */
processed?: number
/** Total items to process (if known ahead of time) */
total?: number
/** Entities extracted so far */
entities?: number
/** Relationships inferred so far */
relationships?: number
/** Processing rate (items per second) */
throughput?: number
/** Estimated time remaining (milliseconds) */
eta?: number
/** Whether data is queryable at this point (v4.2.0+) */
queryable?: boolean
}
```
---
## 🎨 Generic UI Components
### React Progress Component (Works for ALL Formats)
```typescript
import { useState } from 'react'
import { Brainy } from '@soulcraft/brainy'
function UniversalImportProgress({ file }: { file: File }) {
const [progress, setProgress] = useState({
stage: 'idle',
message: 'Ready to import',
percent: 0,
entities: 0,
relationships: 0
})
const handleImport = async () => {
const buffer = await file.arrayBuffer()
const brain = await Brainy.create()
await brain.import(Buffer.from(buffer), {
// THIS WORKS FOR CSV, PDF, EXCEL, JSON, MARKDOWN, YAML, DOCX!
onProgress: (p) => {
setProgress({
stage: p.stage,
message: p.message,
// Calculate percentage from stage + processed/total
percent: calculatePercent(p),
entities: p.entities || 0,
relationships: p.relationships || 0
})
}
})
}
// Helper: Calculate percentage from progress
function calculatePercent(p: ImportProgress): number {
// Use processed/total if available
if (p.processed && p.total) {
return Math.round((p.processed / p.total) * 100)
}
// Otherwise estimate from stage
const stagePercents = {
detecting: 5,
extracting: 50,
'storing-vfs': 80,
'storing-graph': 90,
complete: 100
}
return stagePercents[p.stage] || 0
}
return (
<div className="import-progress">
{/* Stage Indicator */}
<div className="stages">
{['detecting', 'extracting', 'storing-vfs', 'storing-graph', 'complete'].map(s => (
<span
key={s}
className={progress.stage === s ? 'active' : ''}
>
{s}
</span>
))}
</div>
{/* Progress Bar */}
<div className="progress-bar">
<div style={{ width: `${progress.percent}%` }} />
</div>
{/* Status Message (format-specific but always readable) */}
<p className="message">{progress.message}</p>
{/* Counts */}
<div className="counts">
<span>Entities: {progress.entities}</span>
<span>Relationships: {progress.relationships}</span>
</div>
</div>
)
}
```
**This component works perfectly for:**
- ✅ CSV files with 10,000 rows
- ✅ PDF documents with 200 pages
- ✅ Excel workbooks with 5 sheets
- ✅ JSON files with nested structures
- ✅ Markdown documents with sections
- ✅ YAML configuration files
- ✅ DOCX documents with paragraphs
**No format detection needed. No format-specific rendering. Just works.**
---
### CLI Progress Indicator (Works for ALL Formats)
```typescript
import ora from 'ora'
import { Brainy } from '@soulcraft/brainy'
async function importWithProgress(filePath: string) {
const spinner = ora('Starting import...').start()
const brain = await Brainy.create()
try {
await brain.import(filePath, {
// THIS WORKS FOR ALL 7 FORMATS!
onProgress: (p) => {
// Update spinner text with current message
spinner.text = p.message
// Add counts if available
if (p.entities || p.relationships) {
spinner.text += ` (${p.entities || 0} entities, ${p.relationships || 0} relationships)`
}
// Add throughput/ETA if available (during extraction)
if (p.throughput && p.eta) {
const etaSec = Math.round(p.eta / 1000)
spinner.text += ` [${p.throughput.toFixed(1)}/sec, ETA: ${etaSec}s]`
}
// Change spinner when complete
if (p.stage === 'complete') {
spinner.succeed(p.message)
}
}
})
} catch (error) {
spinner.fail(`Import failed: ${error.message}`)
}
}
// Works for ANY format!
await importWithProgress('data.csv')
await importWithProgress('document.pdf')
await importWithProgress('workbook.xlsx')
await importWithProgress('config.yaml')
```
**CLI Output (same code, different formats):**
```bash
# CSV Import
⠋ Detecting format...
⠙ Parsing CSV rows (delimiter: ",")
⠹ Extracting entities from csv (45 rows/sec, ETA: 120s) (150 entities, 45 relationships)
⠸ Extracting entities from csv (45 rows/sec, ETA: 60s) (750 entities, 223 relationships)
✔ Import complete (1350 entities, 401 relationships)
# PDF Import
⠋ Detecting format...
⠙ Loading PDF document...
⠹ Processing page 5 of 23
⠸ Extracting entities from pdf (2.5 pages/sec, ETA: 30s) (45 entities, 12 relationships)
✔ Import complete (156 entities, 89 relationships)
# Excel Import
⠋ Detecting format...
⠙ Loading Excel workbook...
⠹ Reading sheet: Sales (2/5)
⠸ Extracting entities from excel (120 rows/sec, ETA: 45s) (500 entities, 234 relationships)
✔ Import complete (2340 entities, 892 relationships)
```
**Same code. Different formats. Perfect progress for all.**
---
### Dashboard with Real-Time Stats (Works for ALL Formats)
```typescript
function ImportDashboard() {
const [stats, setStats] = useState({
stage: '',
message: '',
elapsed: 0,
entities: 0,
relationships: 0,
throughput: 0,
eta: 0
})
const startTime = Date.now()
const handleImport = async (file: File) => {
await brain.import(await file.arrayBuffer(), {
// UNIVERSAL PROGRESS HANDLER - WORKS FOR ALL FORMATS!
onProgress: (p) => {
setStats({
stage: p.stage,
message: p.message,
elapsed: Date.now() - startTime,
entities: p.entities || 0,
relationships: p.relationships || 0,
throughput: p.throughput || 0,
eta: p.eta || 0
})
}
})
}
return (
<div className="dashboard">
<h2>Import Progress</h2>
<div className="metric">
<label>Stage</label>
<value>{stats.stage}</value>
</div>
<div className="metric">
<label>Status</label>
<value>{stats.message}</value>
</div>
<div className="metric">
<label>Elapsed</label>
<value>{(stats.elapsed / 1000).toFixed(1)}s</value>
</div>
<div className="metric">
<label>Entities</label>
<value>{stats.entities.toLocaleString()}</value>
</div>
<div className="metric">
<label>Relationships</label>
<value>{stats.relationships.toLocaleString()}</value>
</div>
{stats.throughput > 0 && (
<div className="metric">
<label>Throughput</label>
<value>{stats.throughput.toFixed(1)} items/sec</value>
</div>
)}
{stats.eta > 0 && (
<div className="metric">
<label>ETA</label>
<value>{(stats.eta / 1000).toFixed(0)}s</value>
</div>
)}
</div>
)
}
```
**This dashboard shows live stats for ANY format** - CSV, PDF, Excel, JSON, Markdown, YAML, DOCX.
---
## 📊 What Messages Look Like (Format-Specific Text, Standard Fields)
While the **fields are standardized**, the **message text** varies by format to be most helpful:
```typescript
// CSV Import Messages
"Detecting format..."
"Parsing CSV rows (delimiter: ",")"
"Extracted 1000 rows, inferring types..."
"Extracting entities from csv (45 rows/sec, ETA: 120s)..."
"Creating VFS structure..."
"Import complete"
// PDF Import Messages
"Detecting format..."
"Loading PDF document..."
"Processing page 5 of 23"
"Extracting entities from pdf (2.5 pages/sec, ETA: 30s)..."
"Creating VFS structure..."
"Import complete"
// Excel Import Messages
"Detecting format..."
"Loading Excel workbook..."
"Reading sheet: Sales (2/5)"
"Extracting entities from excel (120 rows/sec, ETA: 45s)..."
"Creating VFS structure..."
"Import complete"
```
**Key Point:** You can display `progress.message` directly in your UI **without parsing it**. It's always human-readable and contextually appropriate.
---
## ✅ The 5 Standard Stages (Same for ALL Formats)
Every import goes through these 5 stages in order:
| Stage | Duration | Description | Fields Available |
|-------|----------|-------------|------------------|
| **detecting** | ~1% | Format detection | `stage`, `message` |
| **extracting** | ~70% | Parse file + AI extraction | `stage`, `message`, `processed`, `total`, `entities`, `relationships`, `throughput`, `eta` |
| **storing-vfs** | ~5% | Create file structure | `stage`, `message` |
| **storing-graph** | ~20% | Create graph nodes | `stage`, `message`, `entities`, `relationships` |
| **complete** | ~1% | Finalize | `stage`, `message`, `entities`, `relationships` |
**These 5 stages are the same whether you're importing:**
- A 10MB CSV file with 50,000 rows
- A 200-page PDF document
- A 5-sheet Excel workbook
- A nested JSON structure
- A Markdown document
- A YAML configuration
- A DOCX document
---
## 🎯 Why This Matters
### Build Tools That Work for Everything
```typescript
// ONE progress handler for your entire application
function universalProgressHandler(progress: ImportProgress) {
// Update UI (works for all formats)
updateProgressBar(progress)
updateStatusText(progress.message)
updateCounts(progress.entities, progress.relationships)
// Log to analytics (works for all formats)
analytics.track('import_progress', {
stage: progress.stage,
processed: progress.processed,
total: progress.total
})
// Send to monitoring (works for all formats)
monitoring.gauge('import.entities', progress.entities)
monitoring.gauge('import.throughput', progress.throughput)
}
// Use it everywhere
await brain.import(csvFile, { onProgress: universalProgressHandler })
await brain.import(pdfFile, { onProgress: universalProgressHandler })
await brain.import(excelFile, { onProgress: universalProgressHandler })
await brain.import(jsonFile, { onProgress: universalProgressHandler })
```
### No Format Detection Needed
```typescript
// ❌ DON'T DO THIS (format-specific handling)
if (format === 'csv') {
// CSV-specific progress code
} else if (format === 'pdf') {
// PDF-specific progress code
} else if (format === 'excel') {
// Excel-specific progress code
}
// ✅ DO THIS (universal handling)
onProgress: (p) => {
// Works for ALL formats!
updateUI(p.stage, p.message, p.entities, p.relationships)
}
```
---
## 📝 Summary
**100% Standardized** - Same `ImportProgress` interface for all 7 formats
**Build Once** - Your progress UI works for CSV, PDF, Excel, JSON, Markdown, YAML, DOCX
**No Format Detection** - No need to check file type in your progress handler
**Human-Readable Messages** - Display `progress.message` directly, no parsing needed
**Standard Fields** - `stage`, `processed`, `total`, `entities`, `relationships` work everywhere
**Optional Enhancements** - `throughput`, `eta` available during extraction (all formats)
**The Workshop team (and any developer) can now build monitoring tools, dashboards, CLIs, and UIs that work perfectly for all import formats with zero format-specific code!**