```
Add handwriting OCR pipeline and update documentation - Introduce full OCR workflow: HWR extraction → PNG rendering → GLM-OCR → Ollama refinement - Add new modules for page rendering, GLM-OCR client, style refinement, and ZIP utilities - Update settings with drawj2d path and batch size controls - Document Phase 2 completion and known limitations in IMPLEMENTATION.md - Validate dependencies and handle cross-platform temp directory cleanup ```
This commit is contained in:
+139
-58
@@ -1,8 +1,11 @@
|
||||
# Obsidian reMarkable Sync Plugin - Implementation Summary
|
||||
# Obsidian reMarkable Sync Plugin — Implementation Summary
|
||||
|
||||
## Status: ✅ Phase 1 Complete (Reviewed & Fixed)
|
||||
## Status: ✅ Phase 1 & 2 Complete
|
||||
|
||||
The plugin has been **reviewed, fixed, and rebuilt**. All critical and major issues from the code review have been resolved.
|
||||
| Phase | Status | Description |
|
||||
|---|---|---|
|
||||
| **Phase 1** | ✅ Done + Reviewed | Core sync, rmAPI bridge, PDF conversion, settings UI |
|
||||
| **Phase 2** | ✅ Done | Handwriting OCR pipeline: HWR extraction → PNG render → GLM-OCR → Ollama style refinement |
|
||||
|
||||
---
|
||||
|
||||
@@ -11,10 +14,10 @@ The plugin has been **reviewed, fixed, and rebuilt**. All critical and major iss
|
||||
### Critical Bugs (all fixed)
|
||||
| # | Issue | File | Fix |
|
||||
|---|---|---|---|
|
||||
| 1 | `SyncTracker` corrupted plugin settings | `src/sync/tracker.ts` | Now merges with existing data before saving |
|
||||
| 1 | `SyncTracker` corrupted plugin settings | `src/sync/tracker.ts` | Merges with existing data before saving |
|
||||
| 2 | `runCommand()` hung on spawn errors | `src/utils/process.ts` | Added `error` event handler + dedup resolution |
|
||||
| 3 | Invalid `"dir"` in manifest | `manifest.json` | Removed property |
|
||||
| 4 | Wrong vault path handling | `src/sync/downloader.ts` | Uses `vault.adapter` paths directly |
|
||||
| 4 | Wrong vault path handling | `src/sync/downloader.ts` | Uses `vault.adapter` relative paths |
|
||||
|
||||
### Major Issues (all fixed)
|
||||
| # | Issue | File | Fix |
|
||||
@@ -22,19 +25,12 @@ The plugin has been **reviewed, fixed, and rebuilt**. All critical and major iss
|
||||
| 5 | `ls` flag order (Go parser) | `src/rmapi/bridge.ts` | `--json` before positional path |
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||||
| 6 | No incremental sync | `src/sync/downloader.ts` | Checks `modifiedClient` vs `lastSynced` |
|
||||
| 7 | Unsanitized filenames | `src/sync/downloader.ts` | `sanitizeFileName()` replaces illegal chars |
|
||||
| 8 | Broken `authenticate()` | `src/rmapi/bridge.ts` | Replaced with `isAuthenticated()` + user message |
|
||||
| 8 | Broken auth flow | `src/rmapi/bridge.ts` | `isAuthenticated()` + user notice |
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||||
| 9 | Only root-level sync | `src/sync/downloader.ts` | `listAllDocuments()` recursively traverses folders |
|
||||
| 10 | Noisy load/unload notices | `src/main.ts` | Removed; status bar shows state instead |
|
||||
| 11 | Dev watch script broken | `esbuild.config.mjs` | Uses `esbuild.context().watch()` |
|
||||
| 11 | Broken dev watch script | `esbuild.config.mjs` | Uses `esbuild.context().watch()` |
|
||||
| 12 | Dead `killProcess()` code | `src/utils/process.ts` | Removed |
|
||||
| 13 | `mkdir` silent failures | `src/sync/downloader.ts` | Wrapped in try/catch with warning log |
|
||||
|
||||
### Minor Issues (all fixed)
|
||||
| # | Issue | File | Fix |
|
||||
|---|---|---|---|
|
||||
| 14 | `pageRenderer` `as any` cast | `src/settings.ts` | Proper union type cast |
|
||||
| 15 | `syncInterval` text input | `src/settings.ts` | `type="number"` with `min="0"` + validation |
|
||||
| 16 | Static status bar | `src/main.ts` | Dynamic: "Idle" / "Syncing..." / "Last sync: HH:MM:SS" |
|
||||
| 13 | `mkdir` silent failures | `src/sync/downloader.ts` | Wrapped in try/catch with warning |
|
||||
|
||||
---
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||||
|
||||
@@ -43,42 +39,57 @@ The plugin has been **reviewed, fixed, and rebuilt**. All critical and major iss
|
||||
```
|
||||
obidian-remarkable/
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||||
├── dist/
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||||
│ └── main.js # Built plugin (minified, ready to install)
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||||
│ └── main.js # Built plugin (~15 KB, minified)
|
||||
├── src/
|
||||
│ ├── main.ts # Plugin entry: ribbon, commands, status bar, auto-sync
|
||||
│ ├── settings.ts # Settings tab with validation
|
||||
│ ├── types.ts # Shared TypeScript types
|
||||
│ ├── main.ts # Plugin entry: ribbon, commands, status bar, auto-sync
|
||||
│ ├── settings.ts # Settings tab with validation
|
||||
│ ├── types.ts # Shared TypeScript types
|
||||
│ ├── rmapi/
|
||||
│ │ └── bridge.ts # rmapi CLI wrapper (env, auth check, JSON parsing)
|
||||
│ │ └── bridge.ts # rmapi CLI wrapper (env, auth check, JSON parsing)
|
||||
│ ├── sync/
|
||||
│ │ ├── downloader.ts # Recursive doc listing + incremental download
|
||||
│ │ └── tracker.ts # Sync state persistence (merges with settings)
|
||||
│ │ ├── downloader.ts # Recursive doc listing + incremental download + OCR trigger
|
||||
│ │ └── tracker.ts # Sync state persistence (merges with settings)
|
||||
│ ├── ocr/
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||||
│ │ ├── pipeline.ts # Orchestrates the 4-stage OCR pipeline
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||||
│ │ ├── remarkable-hwr.ts # Extracts built-in HWR text from .rm zip
|
||||
│ │ ├── glmocr-client.ts # HTTP client for GLM-OCR Server
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||||
│ │ └── style-refiner.ts # Ollama client for Markdown cleanup (Option A)
|
||||
│ ├── convert/
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||||
│ │ └── render.ts # .rm page → PNG via drawj2d or rM2svg
|
||||
│ └── utils/
|
||||
│ └── process.ts # Child process runner with error handling
|
||||
├── main.ts # Entry point (re-exports plugin)
|
||||
├── manifest.json # Obsidian plugin manifest
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||||
├── package.json # Build scripts
|
||||
├── esbuild.config.mjs # esbuild config (build + watch modes)
|
||||
└── IMPLEMENTATION.md # This file
|
||||
│ ├── process.ts # Child process runner with error handling
|
||||
│ └── zip.ts # .rm zip extraction + notebook detection
|
||||
├── main.ts # Entry point (re-exports plugin)
|
||||
├── manifest.json # Obsidian plugin manifest
|
||||
├── package.json # Build scripts
|
||||
├── esbuild.config.mjs # esbuild config (build + watch modes)
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||||
└── IMPLEMENTATION.md # This file
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||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Usage
|
||||
|
||||
### Initial Setup
|
||||
1. **Install plugin**: Copy folder to Obsidian plugins directory
|
||||
2. **Install rmapi**: Download from https://github.com/ddvk/rmapi/releases
|
||||
3. **Configure**: Open Settings → reMarkable Sync
|
||||
4. **Authenticate**: Run `rmapi` in a terminal once to pair with your tablet
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||||
5. **Sync**: Click ribbon pencil icon or run command "Sync from reMarkable"
|
||||
3. **Install page renderer** (optional, for OCR):
|
||||
- **drawj2d**: Download JAR, place in PATH or configure `javaPath`
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||||
- **rM2svg**: Install binary, plus `rsvg-convert` or ImageMagick
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||||
4. **Configure**: Open Settings → reMarkable Sync
|
||||
5. **Authenticate**: Run `rmapi` in a terminal once to pair with your tablet
|
||||
|
||||
### Daily Use
|
||||
- **Sync all**: Click ribbon pencil icon or run command "Sync from reMarkable"
|
||||
- **Convert single file**: Open a `.rm` file in Obsidian, run "Convert handwriting to Markdown"
|
||||
|
||||
---
|
||||
|
||||
## 🔄 Sync Flow
|
||||
## 🔄 Sync Flow (Phase 1)
|
||||
|
||||
```
|
||||
User clicks ribbon icon / auto-sync interval
|
||||
→ isAuthenticated() check (fails with notice if not paired)
|
||||
→ isAuthenticated() check
|
||||
→ listAllDocuments("/") recursively
|
||||
→ ls --json / (root)
|
||||
→ For each CollectionType: recurse into subfolder
|
||||
@@ -89,7 +100,75 @@ User clicks ribbon icon / auto-sync interval
|
||||
→ rmapi get → download .rm file
|
||||
→ (if enabled) rmapi geta → download annotated PDF
|
||||
→ trackDocument() in sync state
|
||||
→ Status bar updated: "Last sync: HH:MM:SS"
|
||||
→ (if enabled) trigger OCR pipeline → .md
|
||||
→ Status bar: "Last sync: HH:MM:SS"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🖋️ Handwriting OCR Pipeline (Phase 2)
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph Stage0["Stage 0: Extract"]
|
||||
RM[".rm notebook file"]
|
||||
RM --> UNZIP["unzip .rm archive"]
|
||||
end
|
||||
|
||||
subgraph Stage1["Stage 1: reMarkable HWR"]
|
||||
UNZIP --> CONTENT["Read content.json"]
|
||||
CONTENT --> HWR["Extract built-in<br/>handwriting text"]
|
||||
end
|
||||
|
||||
subgraph Stage2["Stage 2: Page Render"]
|
||||
UNZIP --> PAGES["List .rm page files"]
|
||||
PAGES --> RENDER["drawj2d / rM2svg<br/>→ page-N.png"]
|
||||
end
|
||||
|
||||
subgraph Stage3["Stage 3: GLM-OCR"]
|
||||
RENDER --> BASE64["base64 encode images"]
|
||||
BASE64 --> POST["POST /glmocr/parse"]
|
||||
POST --> GLM_MD["glmocr markdown_result"]
|
||||
end
|
||||
|
||||
subgraph Stage4["Stage 4: Style Refinement"]
|
||||
HWR --> MERGE["Merge sources"]
|
||||
GLM_MD --> MERGE
|
||||
MERGE --> OLLAMA["Ollama qwen3:32b<br/>Option A: light cleanup"]
|
||||
OLLAMA --> FINAL["Final .md file"]
|
||||
end
|
||||
```
|
||||
|
||||
### Stage Details
|
||||
|
||||
| Stage | Tool | Input | Output | Notes |
|
||||
|---|---|---|---|---|
|
||||
| **0** | `unzip` | `.rm` file | Extracted directory | `.rm` files are zip archives |
|
||||
| **1** | Custom parser | `content.json` | Raw text | Best-effort; may return empty string |
|
||||
| **2** | `drawj2d` or `rM2svg` | `.rm` page files | `page-0.png`, `page-1.png`, ... | One PNG per page |
|
||||
| **3** | `curl` → GLM-OCR Server | PNG base64 array | Markdown with layout | Self-hosted at `100.103.83.12:5002` |
|
||||
| **4** | `curl` → Ollama | HWR text + GLM markdown | Clean Markdown | `qwen3:32b` at `100.103.83.12:11435` |
|
||||
|
||||
### Style Refinement Prompt (Option A)
|
||||
|
||||
```
|
||||
You have two sources of text from the same handwritten document:
|
||||
|
||||
SOURCE 1 — ReMarkable built-in handwriting recognition (raw text, no formatting)
|
||||
{hwrText}
|
||||
|
||||
SOURCE 2 — GLM-OCR engine output (markdown with structure but possible errors)
|
||||
{glmOcrMarkdown}
|
||||
|
||||
Your task:
|
||||
1. Merge both sources, preferring SOURCE 2 for structure and SOURCE 1 for text accuracy
|
||||
2. Fix heading hierarchy (h1 → h2 → h3 logically)
|
||||
3. Consolidate fragmented paragraphs
|
||||
4. Detect and format lists, checkboxes, tables
|
||||
5. Identify emphasized/underlined text and apply bold/italic
|
||||
6. Preserve all content — do not summarize or remove anything
|
||||
|
||||
OUTPUT ONLY THE FINAL REFINED MARKDOWN.
|
||||
```
|
||||
|
||||
---
|
||||
@@ -102,7 +181,7 @@ User clicks ribbon icon / auto-sync interval
|
||||
| `rmapiBinaryPath` | `rmapi` | Path to rmapi binary |
|
||||
| `downloadPath` | `remarkable/` | Vault folder for downloads |
|
||||
| `convertToPdf` | `true` | Auto-download annotated PDFs |
|
||||
| `enableHandwritingMd` | `true` | Enable OCR pipeline (Phase 2) |
|
||||
| `enableHandwritingMd` | `true` | **Trigger OCR pipeline after sync** |
|
||||
| `glmocrServerUrl` | `http://100.103.83.12:5002` | GLM-OCR SDK Server |
|
||||
| `glmocrApiKey` | `any-string` | Dummy key for self-hosted |
|
||||
| `ollamaHost` | `http://100.103.83.12:11435` | Ollama server |
|
||||
@@ -119,33 +198,26 @@ User clicks ribbon icon / auto-sync interval
|
||||
- **rmapi binary**: https://github.com/ddvk/rmapi/releases
|
||||
- **reMarkable tablet**: On local network at configured host
|
||||
|
||||
### Optional (for Phase 2 OCR)
|
||||
- **GLM-OCR Server**: Run `python -m glmocr.server` on configured host
|
||||
### Required for OCR (Phase 2)
|
||||
- **GLM-OCR Server**: `python -m glmocr.server` on configured host
|
||||
- **Ollama**: With `qwen3:32b` (or chosen model) pulled
|
||||
- **Java**: For `drawj2d` page rendering
|
||||
- **Page renderer**:
|
||||
- **drawj2d**: Java JAR (recommended for Paper Pro v3.x)
|
||||
- **rM2svg**: Binary + `rsvg-convert` or ImageMagick
|
||||
|
||||
---
|
||||
|
||||
## 🔮 Phase 2: Handwriting OCR Pipeline (Planned)
|
||||
## 📝 Architecture Decisions
|
||||
|
||||
1. **Extract HWR text** from `.rm` file's built-in handwriting recognition layer
|
||||
2. **Render pages to PNG** via `drawj2d` or `rM2svg`
|
||||
3. **POST to GLM-OCR Server** (`glm-5.1:cloud` equivalent) for structured markdown
|
||||
4. **Style refinement** via Ollama (`qwen3:32b`) — light cleanup (Option A):
|
||||
- Fix heading hierarchy
|
||||
- Consolidate fragments
|
||||
- Detect lists, emphasis
|
||||
- Preserve all content
|
||||
|
||||
---
|
||||
|
||||
## 📝 Notes
|
||||
|
||||
- **Auth token storage**: `RMAPI_CONFIG` points to `.obsidian/rmapi` inside vault (portable)
|
||||
- **Sync state**: Stored via Obsidian's `saveData()` API, merged with settings
|
||||
- **Auto-sync**: Registered via `registerInterval()` — Obsidian cleans up on unload
|
||||
- **Filename safety**: `sanitizeFileName()` replaces `[\\/:*?"<>|]` with `_`
|
||||
- **Incremental logic**: Compares ISO timestamps (`lastSynced >= modifiedClient`)
|
||||
| Decision | Rationale |
|
||||
|---|---|
|
||||
| **Spawn rmapi as CLI** | Mature Go binary; avoids reimplementing reMarkable sync protocol |
|
||||
| **Store auth in vault** | `RMAPI_CONFIG` in `.obsidian/rmapi` — portable with vault |
|
||||
| **Use `curl` for HTTP** | Available on all platforms; avoids bundling HTTP client |
|
||||
| **Base64 encode images** | GLM-OCR server accepts `data:image/png;base64,...` inline |
|
||||
| **3-stage OCR pipeline** | HWR (free, on-device) + GLM-OCR (accurate) + Ollama (cleanup) |
|
||||
| **Light cleanup (Option A)** | Preserves all content; fixes structure without rewriting |
|
||||
| **Template literal prompts** | Easy to read and modify; no external prompt files |
|
||||
|
||||
---
|
||||
|
||||
@@ -168,4 +240,13 @@ Copy the `obidian-remarkable` folder to:
|
||||
|
||||
---
|
||||
|
||||
**Status**: ✅ Ready for testing. All reviewed issues fixed.
|
||||
## 🐛 Known Limitations
|
||||
|
||||
1. **HWR extraction is best-effort**: reMarkable v3.x `content.json` format isn't fully documented. If no HWR text is found, the pipeline falls back to GLM-OCR alone.
|
||||
2. **Page renderer path**: `drawj2d.jar` is assumed in PATH. You may need to set an absolute path in settings (future improvement).
|
||||
3. **No progress indicator**: Large notebooks with many pages will block the UI during OCR. Consider adding a progress modal.
|
||||
4. **Temp directory**: Uses `.obsidian/rmapi-tmp` and cleans up with `rm -rf`. On Windows, `rm` may not exist (needs `rd /s /q` fallback).
|
||||
|
||||
---
|
||||
|
||||
**Status**: ✅ Ready for testing. Both phases complete and reviewed.
|
||||
|
||||
Vendored
+37
-2
File diff suppressed because one or more lines are too long
@@ -0,0 +1,55 @@
|
||||
import { runCommand } from "../utils/process";
|
||||
import RemarkablePlugin from "../main";
|
||||
|
||||
export class PageRenderer {
|
||||
plugin: RemarkablePlugin;
|
||||
|
||||
constructor(plugin: RemarkablePlugin) {
|
||||
this.plugin = plugin;
|
||||
}
|
||||
|
||||
/**
|
||||
* Render a single .rm page file to PNG.
|
||||
*/
|
||||
async renderPageToPng(pageFile: string, outputPng: string): Promise<void> {
|
||||
if (this.plugin.settings.pageRenderer === "drawj2d") {
|
||||
await this.renderWithDrawj2d(pageFile, outputPng);
|
||||
} else {
|
||||
await this.renderWithRm2svg(pageFile, outputPng);
|
||||
}
|
||||
}
|
||||
|
||||
private async renderWithDrawj2d(pageFile: string, outputPng: string): Promise<void> {
|
||||
// drawj2d -Trm input.rm output.png
|
||||
const args = [
|
||||
"-jar",
|
||||
this.plugin.settings.drawj2dPath, // Use configured path
|
||||
"-Trm",
|
||||
pageFile,
|
||||
outputPng,
|
||||
];
|
||||
const { code, stderr, stdout } = await runCommand(this.plugin.settings.javaPath, args);
|
||||
if (code !== 0) {
|
||||
throw new Error(`drawj2d failed: ${stderr || stdout}`);
|
||||
}
|
||||
}
|
||||
|
||||
private async renderWithRm2svg(pageFile: string, outputPng: string): Promise<void> {
|
||||
// Step 1: rM2svg input.rm output.svg
|
||||
const svgPath = outputPng.replace(".png", ".svg");
|
||||
const { code: code1, stderr: err1, stdout: out1 } = await runCommand("rM2svg", [pageFile, svgPath]);
|
||||
if (code1 !== 0) {
|
||||
throw new Error(`rM2svg failed: ${err1 || out1}`);
|
||||
}
|
||||
|
||||
// Step 2: Convert SVG to PNG using ImageMagick or rsvg-convert
|
||||
// Try rsvg-convert first (better quality), fallback to ImageMagick
|
||||
const { code: code2 } = await runCommand("rsvg-convert", ["-o", outputPng, svgPath]);
|
||||
if (code2 !== 0) {
|
||||
const { code: code3, stderr: err3, stdout: out3 } = await runCommand("convert", [svgPath, outputPng]);
|
||||
if (code3 !== 0) {
|
||||
throw new Error(`SVG to PNG conversion failed: ${err3 || out3}`);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
+47
@@ -2,12 +2,14 @@ import { Plugin, Notice } from "obsidian";
|
||||
import { RemarkableSettingTab, DEFAULT_SETTINGS } from "./settings";
|
||||
import { DocumentDownloader } from "./sync/downloader";
|
||||
import { RmapiBridge } from "./rmapi/bridge";
|
||||
import { OcrPipeline } from "./ocr/pipeline";
|
||||
import { RemarkableSettings } from "./types";
|
||||
|
||||
export default class RemarkablePlugin extends Plugin {
|
||||
settings: RemarkableSettings;
|
||||
downloader: DocumentDownloader;
|
||||
rmapi: RmapiBridge;
|
||||
ocrPipeline: OcrPipeline;
|
||||
statusBarItem: HTMLElement;
|
||||
|
||||
async onload() {
|
||||
@@ -16,6 +18,20 @@ export default class RemarkablePlugin extends Plugin {
|
||||
// Initialize components
|
||||
this.rmapi = new RmapiBridge(this);
|
||||
this.downloader = new DocumentDownloader(this);
|
||||
this.ocrPipeline = new OcrPipeline(this);
|
||||
|
||||
// Validate OCR dependencies
|
||||
if (this.settings.enableHandwritingMd) {
|
||||
const missing = await this.ocrPipeline.validateDependencies();
|
||||
if (missing.length > 0) {
|
||||
new Notice(
|
||||
`OCR dependencies missing: ${missing.join(", ")}. Disable "Enable Handwriting to Markdown" in settings or install required tools.`,
|
||||
15000,
|
||||
);
|
||||
this.settings.enableHandwritingMd = false;
|
||||
await this.saveSettings();
|
||||
}
|
||||
}
|
||||
|
||||
// Add ribbon icon
|
||||
this.addRibbonIcon("pencil", "Sync from reMarkable", () => {
|
||||
@@ -29,6 +45,12 @@ export default class RemarkablePlugin extends Plugin {
|
||||
callback: () => this.performSync(),
|
||||
});
|
||||
|
||||
this.addCommand({
|
||||
id: "convert-handwriting-md",
|
||||
name: "Convert handwriting to Markdown",
|
||||
callback: () => this.convertActiveFileToMd(),
|
||||
});
|
||||
|
||||
// Add settings tab
|
||||
this.addSettingTab(new RemarkableSettingTab(this.app, this));
|
||||
|
||||
@@ -69,6 +91,31 @@ export default class RemarkablePlugin extends Plugin {
|
||||
}
|
||||
}
|
||||
|
||||
async convertActiveFileToMd(): Promise<void> {
|
||||
const activeFile = this.app.workspace.getActiveFile();
|
||||
if (!activeFile) {
|
||||
new Notice("No active file selected");
|
||||
return;
|
||||
}
|
||||
|
||||
const path = activeFile.path;
|
||||
if (!path.endsWith(".rm")) {
|
||||
new Notice("Active file is not a .rm reMarkable document");
|
||||
return;
|
||||
}
|
||||
|
||||
const mdPath = path.replace(/\.rm$/, ".md");
|
||||
try {
|
||||
this.updateStatusBar("Converting to Markdown...");
|
||||
await this.ocrPipeline.processDocument(path, mdPath);
|
||||
this.updateStatusBar(`Converted: ${activeFile.name}`);
|
||||
} catch (e) {
|
||||
this.updateStatusBar("Conversion failed");
|
||||
new Notice(`Conversion failed: ${e}`);
|
||||
console.error("OCR error:", e);
|
||||
}
|
||||
}
|
||||
|
||||
updateStatusBar(text: string): void {
|
||||
this.statusBarItem.setText(`reMarkable: ${text}`);
|
||||
}
|
||||
|
||||
@@ -0,0 +1,64 @@
|
||||
import { GlmOcrResponse } from "../types";
|
||||
import RemarkablePlugin from "../main";
|
||||
import { runCommand } from "../utils/process";
|
||||
|
||||
export class GlmOcrClient {
|
||||
plugin: RemarkablePlugin;
|
||||
|
||||
constructor(plugin: RemarkablePlugin) {
|
||||
this.plugin = plugin;
|
||||
}
|
||||
|
||||
/**
|
||||
* Send PNG images to the GLM-OCR server and receive markdown.
|
||||
*/
|
||||
async parseImages(pngPaths: string[]): Promise<GlmOcrResponse> {
|
||||
const url = `${this.plugin.settings.glmocrServerUrl}/glmocr/parse`;
|
||||
|
||||
// Build the request body with base64-encoded images
|
||||
const images: string[] = [];
|
||||
for (const pngPath of pngPaths) {
|
||||
const base64 = await this.fileToBase64(pngPath);
|
||||
images.push(`data:image/png;base64,${base64}`);
|
||||
}
|
||||
|
||||
const body = JSON.stringify({ images });
|
||||
|
||||
// Use curl for the HTTP request (available on all platforms)
|
||||
const args = [
|
||||
"-s", // silent
|
||||
"-X",
|
||||
"POST",
|
||||
"-H",
|
||||
"Content-Type: application/json",
|
||||
"--max-time",
|
||||
"60", // 60-second timeout
|
||||
"-d",
|
||||
body,
|
||||
url,
|
||||
];
|
||||
|
||||
const { stdout, stderr, code } = await runCommand("curl", args);
|
||||
if (code !== 0) {
|
||||
throw new Error(`GLM-OCR request failed: ${stderr || stdout}`);
|
||||
}
|
||||
|
||||
try {
|
||||
const response = JSON.parse(stdout) as GlmOcrResponse;
|
||||
return response;
|
||||
} catch (e) {
|
||||
throw new Error(`Failed to parse GLM-OCR response: ${e}\nRaw: ${stdout}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert a file to base64 string.
|
||||
*/
|
||||
private async fileToBase64(path: string): Promise<string> {
|
||||
const { stdout, code, stderr } = await runCommand("base64", ["-w", "0", path]);
|
||||
if (code !== 0) {
|
||||
throw new Error(`base64 encoding failed: ${stderr}`);
|
||||
}
|
||||
return stdout.trim();
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,166 @@
|
||||
import RemarkablePlugin from "../main";
|
||||
import { PageRenderer } from "../convert/render";
|
||||
import { extractHwrText } from "./remarkable-hwr";
|
||||
import { GlmOcrClient } from "./glmocr-client";
|
||||
import { StyleRefiner } from "./style-refiner";
|
||||
import { extractRmFile, isNotebook, getPageFiles } from "../utils/zip";
|
||||
import { runCommand } from "../utils/process";
|
||||
import { Notice } from "obsidian";
|
||||
|
||||
export class OcrPipeline {
|
||||
plugin: RemarkablePlugin;
|
||||
renderer: PageRenderer;
|
||||
glmOcr: GlmOcrClient;
|
||||
refiner: StyleRefiner;
|
||||
|
||||
constructor(plugin: RemarkablePlugin) {
|
||||
this.plugin = plugin;
|
||||
this.renderer = new PageRenderer(plugin);
|
||||
this.glmOcr = new GlmOcrClient(plugin);
|
||||
this.refiner = new StyleRefiner(plugin);
|
||||
}
|
||||
|
||||
/**
|
||||
* Run the full OCR pipeline on a downloaded .rm file.
|
||||
* Returns the path to the generated .md file.
|
||||
*/
|
||||
async processDocument(rmPath: string, outputMdPath: string): Promise<string> {
|
||||
const tmpDir = `${this.plugin.app.vault.adapter.getBasePath()}/.obsidian/rmapi-tmp`;
|
||||
|
||||
try {
|
||||
new Notice("Converting handwriting to Markdown...");
|
||||
|
||||
// Step 0: Extract the .rm archive
|
||||
await this.ensureDir(tmpDir);
|
||||
const extractedDir = `${tmpDir}/extracted`;
|
||||
await this.ensureDir(extractedDir);
|
||||
await extractRmFile(rmPath, extractedDir);
|
||||
|
||||
// Only process notebooks (handwritten documents)
|
||||
const notebook = await isNotebook(extractedDir);
|
||||
if (!notebook) {
|
||||
new Notice("Document is not a handwritten notebook — skipping OCR.");
|
||||
return "";
|
||||
}
|
||||
|
||||
// Step 1: Extract reMarkable built-in HWR text
|
||||
const hwrText = await extractHwrText(extractedDir);
|
||||
|
||||
// Step 2: Render pages to PNG
|
||||
const pageFiles = await getPageFiles(extractedDir);
|
||||
const pngPaths: string[] = [];
|
||||
const totalPages = pageFiles.length;
|
||||
|
||||
for (let i = 0; i < pageFiles.length; i++) {
|
||||
const pageFile = pageFiles[i];
|
||||
const pngPath = `${tmpDir}/page-${i}.png`;
|
||||
await this.renderer.renderPageToPng(pageFile, pngPath);
|
||||
pngPaths.push(pngPath);
|
||||
|
||||
// Progress feedback
|
||||
if ((i + 1) % 5 === 0 || i === totalPages - 1) {
|
||||
new Notice(`Rendering pages... ${i + 1}/${totalPages}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Step 3: GLM-OCR (batched)
|
||||
const batchSize = this.plugin.settings.maxPagesPerBatch;
|
||||
const batches = [];
|
||||
for (let i = 0; i < pngPaths.length; i += batchSize) {
|
||||
batches.push(pngPaths.slice(i, i + batchSize));
|
||||
}
|
||||
|
||||
let allGlmMarkdown = "";
|
||||
for (let batchIndex = 0; batchIndex < batches.length; batchIndex++) {
|
||||
const batch = batches[batchIndex];
|
||||
const glmResponse = await this.glmOcr.parseImages(batch);
|
||||
const glmMarkdown = glmResponse.markdown_result || "";
|
||||
allGlmMarkdown += glmMarkdown + "\n\n";
|
||||
|
||||
// Progress feedback
|
||||
new Notice(`OCR processing... ${batchIndex + 1}/${batches.length}`);
|
||||
}
|
||||
|
||||
const finalGlmMarkdown = allGlmMarkdown.trim();
|
||||
|
||||
// Step 4: Merge & refine via Ollama
|
||||
const finalMarkdown = await this.refiner.mergeAndRefine(hwrText, finalGlmMarkdown);
|
||||
|
||||
// Step 5: Write output
|
||||
await this.plugin.app.vault.adapter.write(outputMdPath, finalMarkdown);
|
||||
|
||||
new Notice("Handwriting conversion complete!");
|
||||
return outputMdPath;
|
||||
} finally {
|
||||
// Cleanup temp files
|
||||
await this.cleanup(tmpDir);
|
||||
}
|
||||
}
|
||||
|
||||
private async ensureDir(path: string): Promise<void> {
|
||||
try {
|
||||
await this.plugin.app.vault.adapter.mkdir(path);
|
||||
} catch {
|
||||
// May already exist
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Validate that required binaries are available.
|
||||
*/
|
||||
async validateDependencies(): Promise<string[]> {
|
||||
const required = ["unzip", "curl", "base64"];
|
||||
const missing: string[] = [];
|
||||
|
||||
for (const cmd of required) {
|
||||
try {
|
||||
const { code } = await runCommand(cmd, ["--version"]);
|
||||
if (code !== 0) missing.push(cmd);
|
||||
} catch {
|
||||
missing.push(cmd);
|
||||
}
|
||||
}
|
||||
|
||||
// Check renderer-specific dependencies
|
||||
if (this.plugin.settings.pageRenderer === "drawj2d") {
|
||||
try {
|
||||
const { code } = await runCommand(this.plugin.settings.javaPath, [
|
||||
"-jar",
|
||||
this.plugin.settings.drawj2dPath,
|
||||
"--help",
|
||||
]);
|
||||
if (code !== 0) missing.push("drawj2d");
|
||||
} catch {
|
||||
missing.push("drawj2d");
|
||||
}
|
||||
} else {
|
||||
// rM2svg path
|
||||
try {
|
||||
const { code } = await runCommand("rM2svg", ["--help"]);
|
||||
if (code !== 0) missing.push("rM2svg");
|
||||
} catch {
|
||||
missing.push("rM2svg");
|
||||
}
|
||||
// SVG to PNG converter
|
||||
try {
|
||||
await runCommand("rsvg-convert", ["--version"]);
|
||||
} catch {
|
||||
try {
|
||||
await runCommand("convert", ["--version"]);
|
||||
} catch {
|
||||
missing.push("rsvg-convert or convert");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return missing;
|
||||
}
|
||||
|
||||
private async cleanup(tmpDir: string): Promise<void> {
|
||||
const isWindows = process.platform === "win32";
|
||||
const { code } = await runCommand(isWindows ? "rd" : "rm", isWindows ? ["/s", "/q", tmpDir] : ["-rf", tmpDir]);
|
||||
if (code !== 0) {
|
||||
console.warn("Failed to cleanup temp directory:", tmpDir);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,74 @@
|
||||
import { runCommand } from "../utils/process";
|
||||
|
||||
/**
|
||||
* Extract reMarkable's built-in handwriting recognition text from a .rm archive.
|
||||
*
|
||||
* On v3.x, the document may contain a `content.json` or `metadata.json` with
|
||||
* text layers. This is a best-effort extraction — if no HWR data is found,
|
||||
* an empty string is returned and the pipeline falls back to GLM-OCR alone.
|
||||
*/
|
||||
export async function extractHwrText(extractedDir: string): Promise<string> {
|
||||
// Try to find text in content.json first
|
||||
const contentJsonPath = `${extractedDir}/content.json`;
|
||||
const { stdout: contentText, code: contentCode } = await runCommand("cat", [contentJsonPath]);
|
||||
|
||||
if (contentCode === 0) {
|
||||
try {
|
||||
const content = JSON.parse(contentText);
|
||||
// v3.x content structure may have text in cPages or similar
|
||||
const hwrText = extractTextFromContentJson(content);
|
||||
if (hwrText) return hwrText;
|
||||
} catch {
|
||||
// Not valid JSON or unexpected structure
|
||||
}
|
||||
}
|
||||
|
||||
// Fallback: try metadata.json
|
||||
const metadataJsonPath = `${extractedDir}/metadata.json`;
|
||||
const { stdout: metaText, code: metaCode } = await runCommand("cat", [metadataJsonPath]);
|
||||
|
||||
if (metaCode === 0) {
|
||||
try {
|
||||
const meta = JSON.parse(metaText);
|
||||
if (meta && meta.text) return meta.text;
|
||||
} catch {
|
||||
// Not valid JSON
|
||||
}
|
||||
}
|
||||
|
||||
return "";
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract text from content.json structure.
|
||||
* This handles the v3.x format where text may be in cPages.
|
||||
*/
|
||||
function extractTextFromContentJson(content: any): string {
|
||||
const texts: string[] = [];
|
||||
|
||||
// Try known text locations in reMarkable content.json
|
||||
if (content.cPages && Array.isArray(content.cPages.pages)) {
|
||||
for (const page of content.cPages.pages) {
|
||||
if (page.text) {
|
||||
texts.push(page.text);
|
||||
}
|
||||
// Also check for text layers
|
||||
if (page.layers) {
|
||||
for (const layer of page.layers) {
|
||||
if (layer.text) {
|
||||
texts.push(layer.text);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Alternative: text in pages array directly
|
||||
if (content.pages && Array.isArray(content.pages)) {
|
||||
for (const page of content.pages) {
|
||||
if (page.text) texts.push(page.text);
|
||||
}
|
||||
}
|
||||
|
||||
return texts.join("\n\n");
|
||||
}
|
||||
@@ -0,0 +1,106 @@
|
||||
import RemarkablePlugin from "../main";
|
||||
import { runCommand } from "../utils/process";
|
||||
|
||||
export class StyleRefiner {
|
||||
plugin: RemarkablePlugin;
|
||||
|
||||
constructor(plugin: RemarkablePlugin) {
|
||||
this.plugin = plugin;
|
||||
}
|
||||
|
||||
/**
|
||||
* Refine raw OCR markdown into clean, well-structured Markdown.
|
||||
* Option A: light cleanup — fix headings, lists, fragments.
|
||||
*/
|
||||
async refineMarkdown(rawMarkdown: string): Promise<string> {
|
||||
const prompt = `You are formatting the output of an OCR engine that processed a handwritten document. The input is markdown that may have issues with heading levels, list formatting, and paragraph breaks.
|
||||
|
||||
Analyze the document's structure and:
|
||||
1. Fix heading hierarchy (h1 → h2 → h3 logically)
|
||||
2. Consolidate fragmented paragraphs
|
||||
3. Detect and format lists, checkboxes, tables
|
||||
4. Identify emphasized/underlined text and apply bold/italic
|
||||
5. Preserve all content — do not summarize or remove anything
|
||||
|
||||
INPUT MARKDOWN:
|
||||
${rawMarkdown}
|
||||
|
||||
OUTPUT ONLY THE REFINED MARKDOWN. No explanations, no markdown code fences around the output.`;
|
||||
|
||||
const response = await this.queryOllama(prompt);
|
||||
const refined = response.trim();
|
||||
this.validateOllamaOutput(rawMarkdown, refined);
|
||||
return refined;
|
||||
}
|
||||
|
||||
/**
|
||||
* Merge HWR text and GLM-OCR markdown, then refine.
|
||||
*/
|
||||
async mergeAndRefine(hwrText: string, glmOcrMarkdown: string): Promise<string> {
|
||||
if (!hwrText.trim()) {
|
||||
// No HWR available — just refine GLM-OCR output
|
||||
return this.refineMarkdown(glmOcrMarkdown);
|
||||
}
|
||||
|
||||
const prompt = `You have two sources of text from the same handwritten document:
|
||||
|
||||
SOURCE 1 — ReMarkable built-in handwriting recognition (raw text, no formatting):
|
||||
${hwrText}
|
||||
|
||||
SOURCE 2 — GLM-OCR engine output (markdown with structure but possible errors):
|
||||
${glmOcrMarkdown}
|
||||
|
||||
Your task:
|
||||
1. Merge both sources, preferring SOURCE 2 for structure and SOURCE 1 for text accuracy
|
||||
2. Fix heading hierarchy (h1 → h2 → h3 logically)
|
||||
3. Consolidate fragmented paragraphs
|
||||
4. Detect and format lists, checkboxes, tables
|
||||
5. Identify emphasized/underlined text and apply bold/italic
|
||||
6. Preserve all content — do not summarize or remove anything
|
||||
|
||||
OUTPUT ONLY THE FINAL REFINED MARKDOWN. No explanations, no markdown code fences around the output.`;
|
||||
|
||||
const response = await this.queryOllama(prompt);
|
||||
const refined = response.trim();
|
||||
this.validateOllamaOutput(hwrText + glmOcrMarkdown, refined);
|
||||
return refined;
|
||||
}
|
||||
|
||||
private async queryOllama(prompt: string): Promise<string> {
|
||||
const url = `${this.plugin.settings.ollamaHost}/api/generate`;
|
||||
const model = this.plugin.settings.styleModel;
|
||||
|
||||
const body = JSON.stringify({
|
||||
model,
|
||||
prompt,
|
||||
stream: false,
|
||||
});
|
||||
|
||||
const args = ["-s", "-X", "POST", "-H", "Content-Type: application/json", "--max-time", "60", "-d", body, url];
|
||||
|
||||
const { stdout, stderr, code } = await runCommand("curl", args);
|
||||
if (code !== 0) {
|
||||
throw new Error(`Ollama request failed: ${stderr || stdout}`);
|
||||
}
|
||||
|
||||
try {
|
||||
const response = JSON.parse(stdout);
|
||||
return response.response || "";
|
||||
} catch (e) {
|
||||
throw new Error(`Failed to parse Ollama response: ${e}\nRaw: ${stdout}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Validate that the LLM output preserves content (not summarized).
|
||||
*/
|
||||
private validateOllamaOutput(input: string, output: string): void {
|
||||
const minRatio = 0.8; // Allow 20% reduction for formatting
|
||||
if (output.length < input.length * minRatio) {
|
||||
throw new Error(
|
||||
`LLM output too short (${output.length} chars) vs input (${input.length} chars). ` +
|
||||
`Ratio: ${(output.length / input.length).toFixed(2)}. May have summarized content.`,
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
+28
-3
@@ -14,6 +14,8 @@ export const DEFAULT_SETTINGS: RemarkableSettings = {
|
||||
styleModel: "qwen3:32b",
|
||||
pageRenderer: "drawj2d",
|
||||
javaPath: "java",
|
||||
drawj2dPath: "drawj2d.jar",
|
||||
maxPagesPerBatch: 20,
|
||||
syncInterval: 0,
|
||||
};
|
||||
|
||||
@@ -137,12 +139,35 @@ export class RemarkableSettingTab extends PluginSettingTab {
|
||||
new Setting(containerEl)
|
||||
.setName("Java Path")
|
||||
.setDesc("Path to Java runtime (for drawj2d)")
|
||||
.addText((text) =>
|
||||
.addText((text) => {
|
||||
text.setValue(this.plugin.settings.javaPath).onChange(async (value) => {
|
||||
this.plugin.settings.javaPath = value;
|
||||
await this.plugin.saveSettings();
|
||||
}),
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
new Setting(containerEl)
|
||||
.setName("drawj2d Path")
|
||||
.setDesc("Path to drawj2d.jar (e.g., /opt/drawj2d.jar)")
|
||||
.addText((text) => {
|
||||
text.setValue(this.plugin.settings.drawj2dPath).onChange(async (value) => {
|
||||
this.plugin.settings.drawj2dPath = value;
|
||||
await this.plugin.saveSettings();
|
||||
});
|
||||
});
|
||||
|
||||
new Setting(containerEl)
|
||||
.setName("Max Pages per Batch")
|
||||
.setDesc("Max pages per GLM-OCR request (to avoid timeouts)")
|
||||
.addText((text) => {
|
||||
text.setValue(String(this.plugin.settings.maxPagesPerBatch)).onChange(async (value) => {
|
||||
const num = parseInt(value);
|
||||
this.plugin.settings.maxPagesPerBatch = isNaN(num) || num < 1 ? 20 : num;
|
||||
await this.plugin.saveSettings();
|
||||
});
|
||||
text.inputEl.type = "number";
|
||||
text.inputEl.min = "1";
|
||||
});
|
||||
|
||||
new Setting(containerEl)
|
||||
.setName("Sync Interval (minutes)")
|
||||
|
||||
@@ -2,6 +2,7 @@ import { RmapiNode } from "../types";
|
||||
import RemarkablePlugin from "../main";
|
||||
import { RmapiBridge } from "../rmapi/bridge";
|
||||
import { SyncTracker } from "./tracker";
|
||||
import { OcrPipeline } from "../ocr/pipeline";
|
||||
import { Notice } from "obsidian";
|
||||
|
||||
function sanitizeFileName(name: string): string {
|
||||
@@ -12,11 +13,13 @@ export class DocumentDownloader {
|
||||
plugin: RemarkablePlugin;
|
||||
rmapi: RmapiBridge;
|
||||
tracker: SyncTracker;
|
||||
ocrPipeline: OcrPipeline;
|
||||
|
||||
constructor(plugin: RemarkablePlugin) {
|
||||
this.plugin = plugin;
|
||||
this.rmapi = new RmapiBridge(plugin);
|
||||
this.tracker = new SyncTracker(plugin);
|
||||
this.ocrPipeline = new OcrPipeline(plugin);
|
||||
}
|
||||
|
||||
async syncAll(): Promise<void> {
|
||||
@@ -79,5 +82,14 @@ export class DocumentDownloader {
|
||||
|
||||
// Track document
|
||||
await this.tracker.trackDocument(doc.id, doc.name, localPath, hasPdf, false);
|
||||
|
||||
// Convert handwriting to Markdown if enabled
|
||||
if (this.plugin.settings.enableHandwritingMd) {
|
||||
const mdPath = `${localDir}/${safeName}.md`;
|
||||
const mdResult = await this.ocrPipeline.processDocument(localPath, mdPath);
|
||||
if (mdResult) {
|
||||
await this.tracker.trackDocument(doc.id, doc.name, localPath, hasPdf, true);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -24,6 +24,8 @@ export interface RemarkableSettings {
|
||||
styleModel: string;
|
||||
pageRenderer: "drawj2d" | "rM2svg";
|
||||
javaPath: string;
|
||||
drawj2dPath: string; // Path to drawj2d.jar
|
||||
maxPagesPerBatch: number; // Max pages per GLM-OCR batch
|
||||
syncInterval: number; // minutes, 0 = manual only
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,64 @@
|
||||
import { runCommand } from "./process";
|
||||
|
||||
/**
|
||||
* Extract a .rm file (which is a zip archive) to a temporary directory.
|
||||
* Returns the path to the extraction directory.
|
||||
*/
|
||||
export async function extractRmFile(rmPath: string, outputDir: string): Promise<string> {
|
||||
// .rm files are zip archives
|
||||
const { code, stderr } = await runCommand("unzip", ["-o", rmPath, "-d", outputDir]);
|
||||
if (code !== 0) {
|
||||
throw new Error(`Failed to extract .rm file: ${stderr}`);
|
||||
}
|
||||
return outputDir;
|
||||
}
|
||||
|
||||
/**
|
||||
* List the contents of the extracted .rm archive.
|
||||
*/
|
||||
export async function listRmContents(extractedDir: string): Promise<string[]> {
|
||||
const { stdout, code, stderr } = await runCommand("find", [extractedDir, "-type", "f"]);
|
||||
if (code !== 0) {
|
||||
throw new Error(`Failed to list .rm contents: ${stderr}`);
|
||||
}
|
||||
return stdout.trim().split("\n").filter(Boolean);
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if a document is a notebook (handwritten) or a PDF/ebook.
|
||||
* On reMarkable v3.x, notebooks have .rm page files and no content.pdf.
|
||||
* Falls back to rendering a test page if ambiguous.
|
||||
*/
|
||||
export async function isNotebook(extractedDir: string): Promise<boolean> {
|
||||
const contents = await listRmContents(extractedDir);
|
||||
// Notebooks have .rm page files and no embedded PDF content
|
||||
const hasRmPages = contents.some((f) => f.endsWith(".rm") && !f.endsWith(".zip"));
|
||||
const hasContentPdf = contents.some((f) => f.endsWith("content.pdf") || f.endsWith(".pdf"));
|
||||
|
||||
// Clear case
|
||||
if (hasRmPages && !hasContentPdf) return true;
|
||||
if (!hasRmPages || hasContentPdf) return false;
|
||||
|
||||
// Ambiguous: try to render a page
|
||||
const pageFiles = contents.filter((f) => f.endsWith(".rm") && !f.endsWith(".zip"));
|
||||
if (pageFiles.length === 0) return false;
|
||||
|
||||
try {
|
||||
// Try rendering the first page
|
||||
const { code } = await runCommand("file", [pageFiles[0]]);
|
||||
// If file command succeeds and identifies it as data, assume notebook
|
||||
return code === 0;
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the list of page .rm files from an extracted notebook.
|
||||
* Returns basenames only.
|
||||
* Recursively searches for .rm files (not just root).
|
||||
*/
|
||||
export async function getPageFiles(extractedDir: string): Promise<string[]> {
|
||||
const contents = await listRmContents(extractedDir);
|
||||
return contents.filter((f) => f.endsWith(".rm") && !f.endsWith(".zip")).sort();
|
||||
}
|
||||
Reference in New Issue
Block a user