13 Commits

Author SHA1 Message Date
4f141b130e update 2026-03-23 14:50:00 +07:00
fa039f2820 update architecture.md 2026-03-23 13:33:26 +07:00
b0c5ecb942 update walkthrough doc 2026-03-23 13:03:27 +07:00
ba659368a5 update spec doc 2026-03-23 12:51:55 +07:00
1b38b3d6f1 update requirement doc 2026-03-23 11:52:38 +07:00
ton
ad28386ff0 Merge pull request 'remove_arrow_in_natsbridge_csr' (#11) from remove_arrow_in_natsbridge_csr into main
Reviewed-on: #11
2026-03-19 04:12:28 +00:00
9c4c941840 add js class 2026-03-15 18:41:45 +07:00
34d8e3fad8 update 2026-03-15 12:09:04 +07:00
49d7898720 remove arrow support for natsbridge_csr.js 2026-03-15 11:58:08 +07:00
fb315a0525 update 2026-03-14 11:24:27 +07:00
07acde45da update readme 2026-03-14 10:46:19 +07:00
3c6e139ac0 update readme 2026-03-14 10:41:16 +07:00
ton
50211b671d Merge pull request 'update_docs' (#10) from update_docs into main
Reviewed-on: #10
2026-03-14 00:53:02 +00:00
11 changed files with 1540 additions and 1617 deletions

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@@ -143,11 +143,29 @@ Since I develop src folder before I adopt SDD_FRAMEWORK.md approach, can you che
# ---------------------------------------------- 100 --------------------------------------------- #
Check NATSBridge/docs folder I want to update the content of the following files according to ASG_Framework/ASG_Framework.md:
- NATSBridge/docs/requirements.md
- NATSBridge/docs/specification.md
- NATSBridge/docs/ui-specification.md (you'll need to create this one)
- NATSBridge/docs/walkthrough.md
- NATSBridge/docs/architecture.md
I'll do the other docs not listed here later myself.
now help me update the following fileaccording to ASG_Framework/ASG_Framework.md:
- NATSBridge/docs/specification.md
<!-- ------------------------------------------- 100 ------------------------------------------- -->
Check NATSBridge/docs folder. I would like to expand this package to include Dart support.
Can you update the content of the following files according to ASG_Framework/ASG_Framework.md:
- NATSBridge/docs/requirements.md
- NATSBridge/docs/specification.md
- NATSBridge/docs/walkthrough.md
- NATSBridge/docs/architecture.md

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@@ -1,6 +1,6 @@
name = "NATSBridge"
uuid = "f2724d33-f338-4a57-b9f8-1be882570d10"
version = "0.5.5"
version = "0.5.6"
authors = ["narawat <narawat@gmail.com>"]
[deps]

363
README.md
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@@ -1,6 +1,6 @@
# NATSBridge - Cross-Platform Bi-Directional Data Bridge
A high-performance, bi-directional data bridge for **Julia, JavaScript, Python, and MicroPython** applications using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
A high-performance, bi-directional data bridge for **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![NATS](https://img.shields.io/badge/NATS-Enabled-green.svg)](https://nats.io)
@@ -28,8 +28,8 @@ NATSBridge enables seamless communication across multiple platforms through NATS
| Transport | Payload Size | Method |
|-----------|--------------|--------|
| **Direct** | < 1MB | Sent directly via NATS (Base64 encoded) |
| **Link** | >= 1MB | Uploaded to HTTP file server, URL sent via NATS |
| **Direct** | < 500KB | Sent directly via NATS (Base64 encoded) |
| **Link** | ≥ 500KB | Uploaded to HTTP file server, URL sent via NATS |
### Use Cases
@@ -45,9 +45,9 @@ NATSBridge enables seamless communication across multiple platforms through NATS
| Platform | Implementation | Features |
|----------|----------------|----------|
| **Julia** | [`src/NATSBridge.jl`](src/NATSBridge.jl) | Full feature set, Arrow IPC, multiple dispatch |
| **JavaScript** | [`src/natsbridge.js`](src/natsbridge.js) | Node.js, async/await |
| **JavaScript (Browser)** | [`src/natsbridge_csr.js`](src/natsbridge_csr.js) | Browser, WebSocket NATS, async/await |
| **Python** | [`src/natsbridge.py`](src/natsbridge.py) | Desktop Python, asyncio, type hints |
| **JavaScript (Node.js)** | [`src/natsbridge_ssr.js`](src/natsbridge_ssr.js) | Node.js, async/await, Arrow IPC |
| **JavaScript (Browser)** | [`src/natsbridge_csr.js`](src/natsbridge_csr.js) | Browser, WebSocket NATS, async/await, JSON table only |
| **Python** | [`src/natsbridge.py`](src/natsbridge.py) | Desktop Python, asyncio, type hints, Arrow IPC |
| **MicroPython** | [`src/natsbridge_mpy.py`](src/natsbridge_mpy.py) | Memory-constrained, synchronous API |
### Platform Comparison
@@ -57,7 +57,8 @@ NATSBridge enables seamless communication across multiple platforms through NATS
| Multiple Dispatch | ✅ Native | ❌ | ❌ | ❌ | ❌ |
| Async/Await | ❌ | ✅ Native | ✅ Native | ✅ Native | ⚠️ (uasyncio) |
| Type Safety | ✅ Strong | ⚠️ (TypeScript) | ⚠️ (TypeScript) | ✅ (Type hints) | ❌ |
| Arrow IPC | ✅ Native | ✅ | ✅ | ✅ | ❌ |
| Arrow IPC | ✅ Native | ✅ Native | ❌ (Browser incompatible) | ✅ Native | ❌ |
| JSON Table | ✅ | ✅ | ✅ (Only table type) | ✅ | ⚠️ (Limited) |
| Direct Transport | ✅ | ✅ | ✅ | ✅ | ✅ |
| Link Transport | ✅ | ✅ | ✅ | ✅ | ⚠️ (Limited) |
| Handler Functions | ✅ | ✅ | ✅ | ✅ | ✅ |
@@ -72,8 +73,9 @@ NATSBridge enables seamless communication across multiple platforms through NATS
-**Bi-directional messaging** with request-reply patterns
-**Multi-payload support** - send multiple payloads with different types in one message
-**Automatic transport selection** - direct vs link based on payload size
-**Claim-Check pattern** for payloads > 1MB
-**Apache Arrow IPC** support for tabular data (zero-copy reading)
-**Claim-Check pattern** for payloads ≥ 500KB
-**Apache Arrow IPC** support for tabular data (Desktop: Julia/Python/Node.js)
-**JSON Table** support for tabular data (All platforms including Browser)
-**Exponential backoff** for reliable file server downloads
-**Correlation ID tracking** for message tracing
-**Reply-to support** for request-response patterns
@@ -83,23 +85,24 @@ NATSBridge enables seamless communication across multiple platforms through NATS
## Quick Start
### Step 1: Start NATS Server
### Prerequisites
1. **NATS Server** - Install and run a NATS server:
```bash
docker run -p 4222:4222 nats:latest
```
### Step 2: Start HTTP File Server (Optional)
2. **HTTP File Server** (optional, for large payloads) - Install and run a file server:
```bash
# Create a directory for file uploads
mkdir -p /tmp/fileserver
# Using Plik
docker run -p 8080:8080 -v /tmp/fileserver:/var/lib/plik -e PLIK_ADMIN_PASSWORD=admin plik/plik
# Start HTTP file server
# OR using simple Python HTTP server
mkdir -p /tmp/fileserver
python3 -m http.server 8080 --directory /tmp/fileserver
```
### Step 3: Send Your First Message
### Send Your First Message
#### Julia
@@ -107,14 +110,14 @@ python3 -m http.server 8080 --directory /tmp/fileserver
using NATSBridge
data = [("message", "Hello World", "text")]
env, env_json_str = smartsend("/chat/room1", data, broker_url="nats://localhost:4222")
env, env_json_str = smartsend("/chat/room1", data; broker_url="nats://localhost:4222")
println("Message sent!")
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('./src/natsbridge.js');
import NATSBridge from './src/natsbridge_ssr.js';
const data = [["message", "Hello World", "text"]];
const [env, env_json_str] = await NATSBridge.smartsend(
@@ -125,6 +128,20 @@ const [env, env_json_str] = await NATSBridge.smartsend(
console.log("Message sent!");
```
#### JavaScript (Browser)
```javascript
import NATSBridge from './src/natsbridge_csr.js';
const data = [["message", "Hello World", "text"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/room1",
data,
{ broker_url: "ws://localhost:4222" }
);
console.log("Message sent!");
```
#### Python
```python
@@ -139,6 +156,21 @@ env, env_json_str = await smartsend(
print("Message sent!")
```
#### MicroPython
```python
from natsbridge import smartsend
data = [("message", "Hello World", "text")]
env, env_json_str = smartsend(
"/chat/room1",
data,
broker_url="nats://localhost:4222",
size_threshold=100000 # 100KB for MicroPython
)
print("Message sent!")
```
---
## API Reference
@@ -147,13 +179,13 @@ print("Message sent!")
All platforms use the same input/output format for payloads:
**Input format for smartsend:**
**Input format for `smartsend`:**
```
[(dataname1, data1, type1), (dataname2, data2, type2), ...]
```
**Output format for smartreceive:**
```
**Output format for `smartreceive`:**
```json
{
"correlation_id": "...",
"msg_id": "...",
@@ -187,7 +219,7 @@ env, env_json_str = NATSBridge.smartsend(
broker_url::String = "nats://localhost:4222",
fileserver_url = "http://localhost:8080",
fileserver_upload_handler::Function = plik_oneshot_upload,
size_threshold::Int = 1_000_000,
size_threshold::Int = 500_000,
correlation_id::String = string(uuid4()),
msg_purpose::String = "chat",
sender_name::String = "NATSBridge",
@@ -203,10 +235,10 @@ env, env_json_str = NATSBridge.smartsend(
# Returns: ::Tuple{msg_envelope_v1, String}
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('natsbridge');
import NATSBridge from './src/natsbridge_ssr.js';
const [env, env_json_str] = await NATSBridge.smartsend(
subject,
@@ -215,7 +247,36 @@ const [env, env_json_str] = await NATSBridge.smartsend(
broker_url: 'nats://localhost:4222',
fileserver_url: 'http://localhost:8080',
fileserver_upload_handler: NATSBridge.plikOneshotUpload,
size_threshold: 1_000_000,
size_threshold: 500_000,
correlation_id: uuidv4(),
msg_purpose: 'chat',
sender_name: 'NATSBridge',
receiver_name: '',
receiver_id: '',
reply_to: '',
reply_to_msg_id: '',
is_publish: true,
nats_connection: null,
msg_id: uuidv4(),
sender_id: uuidv4()
}
);
// Returns: Promise<[env, env_json_str]>
```
#### JavaScript (Browser)
```javascript
import NATSBridge from './src/natsbridge_csr.js';
const [env, env_json_str] = await NATSBridge.smartsend(
subject,
data,
{
broker_url: 'ws://localhost:4222',
fileserver_url: 'http://localhost:8080',
fileserver_upload_handler: NATSBridge.plikOneshotUpload,
size_threshold: 500_000,
correlation_id: uuidv4(),
msg_purpose: 'chat',
sender_name: 'NATSBridge',
@@ -243,7 +304,7 @@ env, env_json_str = await NATSBridge.smartsend(
broker_url: str = "nats://localhost:4222",
fileserver_url: str = "http://localhost:8080",
fileserver_upload_handler: Callable = plik_oneshot_upload,
size_threshold: int = 1_000_000,
size_threshold: int = 500_000,
correlation_id: str = None,
msg_purpose: str = "chat",
sender_name: str = "NATSBridge",
@@ -293,9 +354,28 @@ env = NATSBridge.smartreceive(
# Returns: ::JSON.Object{String, Any}
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
import NATSBridge from './src/natsbridge_ssr.js';
const env = await NATSBridge.smartreceive(
msg,
{
fileserver_download_handler: NATSBridge.fetchWithBackoff,
max_retries: 5,
base_delay: 100,
max_delay: 5000
}
);
// Returns: Promise<env_object>
```
#### JavaScript (Browser)
```javascript
import NATSBridge from './src/natsbridge_csr.js';
const env = await NATSBridge.smartreceive(
msg,
{
@@ -311,6 +391,8 @@ const env = await NATSBridge.smartreceive(
#### Python
```python
from natsbridge import NATSBridge
env = await NATSBridge.smartreceive(
msg,
fileserver_download_handler=fetch_with_backoff,
@@ -324,6 +406,8 @@ env = await NATSBridge.smartreceive(
#### MicroPython
```python
from natsbridge import NATSBridge
env = NATSBridge.smartreceive(
msg,
fileserver_download_handler=_sync_fileserver_download,
@@ -342,8 +426,8 @@ env = NATSBridge.smartreceive(
|------|-------|------------|--------|-------------|-------------|
| `text` | `String` | `string` | `str` | `str` | Plain text strings |
| `dictionary` | `Dict`, `NamedTuple` | `Object`, `Array` | `dict`, `list` | `dict` | JSON-serializable dictionaries |
| `arrowtable` | `DataFrame`, `Arrow.Table` | `Array<Object>` | `pandas.DataFrame` | ❌ | Tabular data (Arrow IPC) |
| `jsontable` | `Vector{NamedTuple}` | `Array<Object>` | `list[dict]` | | Tabular data (JSON) |
| `arrowtable` | `DataFrame`, `Arrow.Table` | ❌ (Browser), ✅ (Node.js) | `pandas.DataFrame` | ❌ | Tabular data (Arrow IPC) |
| `jsontable` | `DataFrame`, `Vector{NamedTuple}` | `Array<Object>` | `list[dict]` | ⚠️ | Tabular data (JSON) - **Only table type in Browser** |
| `image` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Image data (PNG, JPG) |
| `audio` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Audio data (WAV, MP3) |
| `video` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Video data (MP4, AVI) |
@@ -368,13 +452,13 @@ data = [
("large_document", large_file_data, "binary")
]
env, env_json_str = NATSBridge.smartsend("/chat/room1", data; fileserver_url="http://localhost:8080")
env, env_json_str = smartsend("/chat/room1", data; fileserver_url="http://localhost:8080")
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('natsbridge');
import NATSBridge from './src/natsbridge_ssr.js';
const data = [
["message_text", "Hello!", "text"],
@@ -389,6 +473,24 @@ const [env, env_json_str] = await NATSBridge.smartsend(
);
```
#### JavaScript (Browser)
```javascript
import NATSBridge from './src/natsbridge_csr.js';
const data = [
["message_text", "Hello!", "text"],
["user_avatar", imageData, "image"],
["large_document", largeFileData, "binary"]
];
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/room1",
data,
{ broker_url: 'ws://localhost:4222', fileserver_url: 'http://localhost:8080' }
);
```
#### Python
```python
@@ -423,13 +525,13 @@ config = Dict(
)
data = [("config", config, "dictionary")]
env, env_json_str = NATSBridge.smartsend("/device/config", data)
env, env_json_str = smartsend("/device/config", data)
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('natsbridge');
import NATSBridge from './src/natsbridge_ssr.js';
const config = {
wifi_ssid: "MyNetwork",
@@ -475,13 +577,13 @@ df = DataFrame(
)
data = [("students", df, "arrowtable")]
env, env_json_str = NATSBridge.smartsend("/data/analysis", data)
env, env_json_str = smartsend("/data/analysis", data)
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('natsbridge');
import NATSBridge from './src/natsbridge_ssr.js';
const df = [
{ id: 1, name: "Alice", score: 95 },
@@ -511,6 +613,26 @@ data = [("students", df, "arrowtable")]
env, env_json_str = await NATSBridge.smartsend("/data/analysis", data)
```
#### JavaScript (Browser)
```javascript
import NATSBridge from './src/natsbridge_csr.js';
// Browser uses jsontable (JSON array of objects) instead of arrowtable
// Apache Arrow is not compatible with browsers
const df = [
{ id: 1, name: "Alice", score: 95 },
{ id: 2, name: "Bob", score: 88 },
{ id: 3, name: "Charlie", score: 92 }
];
const [env, env_json_str] = await NATSBridge.smartsend(
"/data/analysis",
[["students", df, "jsontable"]], // Use jsontable for browser
{ broker_url: 'ws://localhost:4222' }
);
```
### Example 4: Request-Response Pattern
Bi-directional communication with reply-to support.
@@ -521,18 +643,29 @@ Bi-directional communication with reply-to support.
using NATSBridge
# Requester
env, env_json_str = NATSBridge.smartsend(
env, env_json_str = smartsend(
"/device/command",
[("command", Dict("action" => "read_sensor"), "dictionary")];
broker_url="nats://localhost:4222",
reply_to="/device/response"
)
# Receiver (in separate application)
msg = NATS.subscription.next()
env = smartreceive(msg)
# Process request and send response
response_env, response_json = smartsend(
"/device/response",
[("result", Dict("value" => 42), "dictionary")],
reply_to="/device/command",
reply_to_msg_id=env["msg_id"]
)
```
#### JavaScript
#### JavaScript (Node.js)
```javascript
const NATSBridge = require('natsbridge');
import NATSBridge from './src/natsbridge_ssr.js';
// Requester
const [env, env_json_str] = await NATSBridge.smartsend(
@@ -540,6 +673,16 @@ const [env, env_json_str] = await NATSBridge.smartsend(
[["command", { action: "read_sensor" }, "dictionary"]],
{ broker_url: 'nats://localhost:4222', reply_to: '/device/response' }
);
// Receiver (in separate application)
// const msg = await natsConsumer.next();
// const env = await NATSBridge.smartreceive(msg);
// Process request and send response
// const response_env, response_json = await NATSBridge.smartsend(
// "/device/response",
// [["result", { value: 42 }, "dictionary"]],
// { reply_to: '/device/command', reply_to_msg_id: env.msg_id }
// );
```
#### Python
@@ -554,6 +697,17 @@ env, env_json_str = await NATSBridge.smartsend(
broker_url="nats://localhost:4222",
reply_to="/device/response"
)
# Receiver (in separate application)
# msg = await nats_consumer.next()
# env = await NATSBridge.smartreceive(msg)
# Process request and send response
# response_env, response_json = await NATSBridge.smartsend(
# "/device/response",
# [("result", {"value": 42}, "dictionary")],
# reply_to="/device/command",
# reply_to_msg_id=env["msg_id"]
# )
```
---
@@ -636,14 +790,131 @@ python3 test/test_py_table_receiver.py
---
## Browser Deployment
### Using with Node.js Build Tools
The browser implementation (`src/natsbridge_csr.js`) can be bundled for production deployment using modern JavaScript build tools.
#### Prerequisites
```bash
# Install the browser-compatible NATS client
npm install nats.ws
```
#### Vite (Recommended)
```bash
npm create vite@latest my-app -- --template vanilla
cd my-app
npm install nats.ws
```
In `vite.config.js`:
```javascript
import { defineConfig } from 'vite';
export default defineConfig({
resolve: {
alias: {
'nats.ws': 'nats.ws/dist/esm/browser.js'
}
}
});
```
Build command:
```bash
npm run build # Outputs to dist/ folder
```
#### Webpack
```bash
npm install webpack webpack-cli --save-dev
npm install nats.ws
```
In `webpack.config.js`:
```javascript
module.exports = {
entry: './src/index.js',
output: {
filename: 'bundle.js',
path: __dirname + '/dist'
},
resolve: {
alias: {
'nats.ws': 'nats.ws/dist/esm/browser.js'
}
}
};
```
Build command:
```bash
npx webpack
```
#### esbuild (Simple & Fast)
```bash
npm install esbuild nats.ws --save-dev
```
Create `build.js`:
```javascript
import esbuild from 'esbuild';
esbuild.buildSync({
entryPoints: ['src/natsbridge_csr.js'],
bundle: true,
outfile: 'dist/natsbridge-csr-bundle.js',
format: 'esm',
platform: 'browser',
target: 'es2020'
});
```
Build command:
```bash
node build.js
```
### Using in Your HTML
```html
<!DOCTYPE html>
<html>
<head>
<title>My App</title>
</head>
<body>
<script type="module" src="dist/natsbridge-csr-bundle.js"></script>
<script type="module">
import NATSBridgeCSR from './dist/natsbridge-csr-bundle.js';
// Use the library
const [env, envJson] = await NATSBridgeCSR.smartsend(
"/chat/user/v1/message",
[["msg", "Hello", "text"]],
{ broker_url: "wss://nats.example.com" }
);
</script>
</body>
</html>
```
---
## Documentation
For detailed architecture and implementation information, see:
- [Architecture Documentation](docs/architecture_updated.md) - Cross-platform architecture, API parity, platform-specific patterns
- [Implementation Guide](docs/implementation_updated.md) - Detailed implementation for each platform, handler functions, testing
- [Tutorial](docs/tutorial_updated.md) - Step-by-step getting started guide
- [Walkthrough](docs/walkthrough_updated.md) - Real-world application building guides
- [`docs/architecture.md`](docs/architecture.md) - Cross-platform architecture, API parity, platform-specific patterns
- [`docs/requirements.md`](docs/requirements.md) - Business requirements and user stories
- [`docs/spec.md`](docs/spec.md) - Technical specification and contracts
- [`docs/walkthrough.md`](docs/walkthrough.md) - Real-world application building guides
---

View File

@@ -1,402 +0,0 @@
# SDD + GitOps Documentation Framework
This document defines the documentation framework for the NATSBridge project. It establishes a structured approach to creating, maintaining, and evolving technical documentation in alignment with GitOps principles—ensuring that documentation is versioned, auditable, and continuously validated alongside the codebase.
---
## The SDD Framework: Seven Pillars of Documentation
| Document | Purpose (Rationale) | Primary Audience | Format / Content | Example (SaaS Context) | Measurement (KPI) |
|----------|---------------------|-----------------|------------------|------------------------|-------------------|
| **Requirements** | Capture the **business intent** — why we're building this and what success looks like. Defines boundaries and user-visible outcomes. | Stakeholders, Product Owners, Lead Developers | User stories, PRDs, acceptance criteria, non-functional constraints. | "System must process tabular data from Julia to SvelteKit UI with <200ms latency for 5-member teams." | 95% of requests complete <200ms (synthetic monitoring). |
| **Specification** | The **technical contract** — precise rules for inputs, outputs, and data shape. Ensures consistency across dev and test. | Developers, QA Engineers, CI/CD pipelines | OpenAPI, Protobuf, AsyncAPI. Endpoint definitions, schemas, error codes. | `contract.yaml` defining a NATS subject that accepts Arrow streams with snake_case headers. | 100% of messages validated against spec (CI block rate). |
| **Architecture** | The **blueprint** — how components fit together, interact, and scale. Guides system structure and trade-offs. | Architects, Senior Developers, DevOps | C4 diagrams, Mermaid.js, component/network/storage models. | Diagram showing 6-node cluster routing traffic via Caddy → Node.js API → Julia pods. | 100% of major decisions logged with trade-off analysis. |
| **Walkthrough** | The **story of flow** — shows how pieces connect end-to-end and why steps are sequenced. Builds intuition for new devs. | New Developers, Team Members | TOUR.md, Loom videos, sequence diagrams. Step-by-step traces with rationale. | "UI sends JSON → Node.js wraps Claim-Check → Julia pulls Arrow data (prevents NATS overflow)." | New developers ship feature in <2 days (PR timeline). |
| **Implementation** | The **real code** — business logic, helpers, tests, configs. Where design becomes executable. | Developers, Code Reviewers | Source code, README.md, unit tests, setup scripts. | Julia function for matrix calculation + SvelteKit component rendering table. | >80% unit test coverage, <5% drift from spec. |
| **Validation** | The **enforcer** — ensures implementation matches the spec. Blocks drift and human error. | Automation servers, QA, Lead Developers | CI jobs, contract tests, linting, integration checks. | CI job rejects PR with camelCase field not allowed by YAML spec. | <1% of PRs bypass validation gates. |
| **Runbook** | The **operational manual** — how the system lives in production, scales, and recovers. Guides on-call engineers. | DevOps, SREs, On-call Developers | K8s manifests, Helm charts, Markdown guides. Deployment, scaling, backup/restore, troubleshooting. | GitOps manifest ensuring 6 Julia replicas restart if memory >80%. | MTTR <15 minutes for P1 incidents. |
---
## Detailed Document Descriptions
### 1. Requirements
**Purpose**: Capture the *business intent* — why we're building this and what success looks like. Defines boundaries and user-visible outcomes.
**Why It Matters**:
- Aligns engineering efforts with business goals
- Provides a north star for feature development
- Establishes acceptance criteria before implementation begins
- Creates a contract between product and engineering
**Content Guidelines**:
- User stories with clear acceptance criteria (As a X, I want Y so that Z)
- Product Requirements Documents (PRDs) with success metrics
- Non-functional requirements (performance, security, scalability)
- Boundary definitions (what's in scope vs. out of scope)
**Best Practices**:
- Link each requirement to a measurable KPI
- Keep requirements testable and verifiable
- Maintain backward compatibility with existing requirements
- Review and update requirements as business context changes
---
### 2. Specification
**Purpose**: The *technical contract* — precise rules for inputs, outputs, and data shape. Ensures consistency across dev and test.
**Why It Matters**:
- Prevents implementation drift between components
- Enables contract testing in CI/CD pipelines
- Provides a single source of truth for data structures
- Facilitates integration between teams
**Content Guidelines**:
- API endpoint definitions (methods, paths, parameters)
- Request/response schemas (JSON, XML, Protobuf, AsyncAPI)
- Error codes and their meanings
- Data validation rules and constraints
- Rate limiting and quota definitions
**Best Practices**:
- Use formal specification languages (OpenAPI 3.0+, AsyncAPI)
- Version specifications alongside code
- Generate client SDKs from specifications
- Block CI on specification violations
- Document edge cases and error scenarios
---
### 3. Architecture
**Purpose**: The *blueprint* — how components fit together, interact, and scale. Guides system structure and trade-offs.
**Why It Matters**:
- Provides a mental model for system design
- Guides technical decision-making and trade-off analysis
- Facilitates onboarding of new architects and senior developers
- Documents scaling and performance considerations
**Content Guidelines**:
- C4 diagrams (Context, Container, Component levels)
- Mermaid.js flowcharts for sequence diagrams
- Component interaction diagrams
- Network topology and data flow
- Storage and caching strategies
- Scaling and resilience patterns
**Best Practices**:
- Use diagrams that are easy to update (Mermaid.js over static images)
- Document trade-off decisions with Rationale Documents
- Include scaling considerations for each component
- Document failure modes and recovery strategies
- Keep architecture diagrams versioned with code
---
### 4. Walkthrough
**Purpose**: The *story of flow* — shows how pieces connect end-to-end and why steps are sequenced. Builds intuition for new devs.
**Why It Matters**:
- Reduces onboarding time for new developers
- Provides context that code comments alone cannot convey
- Explains the "why" behind architectural decisions
- Helps identify gaps in the system design
**Content Guidelines**:
- Step-by-step flow descriptions with rationale
- Sequence diagrams showing request/response patterns
- "Tour of the codebase" guides
- Video walkthroughs (Loom, internal recordings)
- Debugging and tracing examples
**Best Practices**:
- Walk through real user journeys, not just technical flows
- Include "what could go wrong" scenarios
- Link walkthroughs to relevant code locations
- Keep walkthroughs updated with architecture changes
- Make walkthroughs interactive where possible
---
### 5. Implementation
**Purpose**: The *real code* — business logic, helpers, tests, configs. Where design becomes executable.
**Why It Matters**:
- This is the actual artifact that runs in production
- Code is the ultimate source of truth (when it matches spec)
- Tests validate correctness and prevent regressions
- Configuration files define runtime behavior
**Content Guidelines**:
- Business logic implementation
- Helper functions and utilities
- Unit and integration tests
- Configuration files (YAML, JSON, environment)
- Setup and development scripts
- Code organization and module structure
**Best Practices**:
- Follow consistent code style and conventions
- Write tests before or alongside implementation (TDD/BDD)
- Document complex logic with inline comments
- Keep configuration externalized and versioned
- Use type annotations where applicable
---
### 6. Validation
**Purpose**: The *enforcer* — ensures implementation matches the spec. Blocks drift and human error.
**Why It Matters**:
- Prevents breaking changes from reaching production
- Catches specification violations early in the CI pipeline
- Maintains data integrity and API consistency
- Reduces manual QA effort through automation
**Content Guidelines**:
- CI/CD pipeline configurations
- Contract testing scripts
- Linting rules and configurations
- Integration test suites
- Schema validation jobs
- Security scanning and audit jobs
**Best Practices**:
- Fail CI on specification violations
- Run validation jobs on every commit and PR
- Use automated code review tools
- Maintain validation job health dashboard
- Document validation failure remediation steps
---
### 7. Runbook
**Purpose**: The *operational manual* — how the system lives in production, scales, and recovers. Guides on-call engineers.
**Why It Matters**:
- Reduces Mean Time To Recovery (MTTR) for incidents
- Provides step-by-step guidance for common issues
- Documents scaling and deployment procedures
- Ensures operational knowledge is not siloed
**Content Guidelines**:
- Deployment procedures (manual and automated)
- Scaling instructions (horizontal/vertical)
- Backup and restore procedures
- Troubleshooting guides for common issues
- Runbook entries for specific error codes
- Contact information and escalation paths
**Best Practices**:
- Write runbooks for every P1/P2 incident
- Include exact commands and configuration snippets
- Test runbooks periodically (chaos engineering)
- Link runbook entries to relevant documentation
- Keep runbooks updated when system changes
---
## How to Use This Approach Effectively
### 1. Start with Requirements
Before writing any code or documentation, establish clear requirements. Ask:
- What business problem are we solving?
- How will we measure success?
- What are the non-negotiable constraints?
**Action**: Create a `docs/requirements/` directory and start with `PRD.md` and `KPIs.md`.
### 2. Define the Specification First
Once requirements are stable, define the technical specification. This becomes the contract for implementation.
**Action**: Create `docs/specification/` with `contract.yaml` (or appropriate format) and `error-codes.md`.
### 3. Design the Architecture
With requirements and specification in place, design the architecture. Document trade-off decisions explicitly.
**Action**: Create `docs/architecture/` with Mermaid diagrams and `trade-offs.md`.
### 4. Create Walkthroughs Early
As soon as the architecture is defined, create walkthroughs. This helps identify gaps and provides onboarding material.
**Action**: Create `docs/walkthrough/` with `TOUR.md` and sequence diagrams.
### 5. Implement with Validation in Mind
Write implementation code that adheres to the specification. Build validation into the CI pipeline from day one.
**Action**: Ensure test files are co-located with implementation and run on every commit.
### 6. Automate Validation
Build automated validation that runs in CI/CD. This ensures spec compliance and prevents drift.
**Action**: Configure CI jobs to validate against specification and block PRs on violations.
### 7. Document Operations from Day One
Create runbook entries as soon as deployment procedures are established. Update them when incidents occur.
**Action**: Create `docs/runbook/` with entries for deployment, scaling, and common issues.
---
## GitOps Integration
This documentation framework aligns with GitOps principles:
| GitOps Principle | Documentation Alignment |
|-----------------|------------------------|
| **Versioned** | All documentation lives in git, with history and audit trail |
| ** declarative** | Specifications and architecture are declarative contracts |
| **Automated** | Validation jobs automate spec compliance checks |
| **Self-Service** | Walkthroughs and runbooks enable self-service onboarding and operations |
| **Observability** | KPIs and metrics are defined for each documentation artifact |
**Git Structure**:
```
docs/
├── requirements/ # PRDs, user stories, KPIs
├── specification/ # OpenAPI, Protobuf, AsyncAPI specs
├── architecture/ # C4 diagrams, Mermaid, trade-off docs
├── walkthrough/ # TOUR.md, sequence diagrams
├── implementation/ # Source code (in src/)
├── validation/ # CI configs, test suites
└── runbook/ # Deployment, scaling, troubleshooting
```
---
## Metrics and Continuous Improvement
Each documentation artifact has associated KPIs. Track these to ensure quality:
| Document | KPI | Target |
|----------|-----|--------|
| Requirements | Requirement coverage | 100% of features have associated requirements |
| Specification | Spec compliance rate | 100% of messages validate against spec |
| Architecture | Decision documentation | 100% of major decisions logged with trade-offs |
| Walkthrough | New dev time-to-first-PR | <2 days from onboarding to first contribution |
| Implementation | Test coverage | >80% unit test coverage |
| Validation | Bypass rate | <1% of PRs bypass validation gates |
| Runbook | MTTR | <15 minutes for P1 incidents |
**Review Cadence**:
- Weekly: Review KPI dashboards and documentation gaps
- Monthly: Update documentation based on incident learnings
- Quarterly: Full framework review and improvement
---
## Template Examples
### Requirements Template
```markdown
# PRD: Feature Name
## Business Goal
[What problem are we solving?]
## Success Metrics
- [Metric 1]: Target [value]
- [Metric 2]: Target [value]
## User Stories
- As a [role], I want [feature] so that [benefit]
- Acceptance Criteria: [details]
## Non-Functional Requirements
- Performance: [details]
- Security: [details]
- Scalability: [details]
## Out of Scope
- [What's explicitly excluded]
```
### Specification Template
```yaml
# contract.yaml
openapi: 3.0.0
info:
title: NATSBridge API
version: 1.0.0
paths:
/api/v1/endpoint:
post:
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/Request'
responses:
'200':
description: Success
content:
application/json:
schema:
$ref: '#/components/schemas/Response'
```
### Architecture Template
```mermaid
%%{init: {'theme': 'base', 'themeVariables': {'primaryColor': '#3b82f6'}}}%%
flowchart TD
A[Client] --> B[Caddy]
B --> C[Node.js API]
C --> D[Julia Worker]
D --> E[NATS Cluster]
E --> F[Storage]
style A fill:#f9f9f9,stroke:#333
style E fill:#e0e7ff,stroke:#3b82f6
```
### Runbook Template
```markdown
# Runbook: Service Restart
**Severity**: P2
**Estimated Time**: 5 minutes
## Symptoms
- Service is unresponsive
- Health checks are failing
## Steps
1. SSH to the host
2. Run: `kubectl rollout restart deployment/natsbridge`
3. Monitor: `kubectl get pods -l app=natsbridge -w`
## Rollback
- Run: `kubectl rollout undo deployment/natsbridge`
## Post-Incident
- [ ] Review logs for root cause
- [ ] Update runbook if needed
```
---
## Conclusion
This SDD + GitOps Documentation Framework ensures that documentation is:
- **Structured**: Seven distinct artifacts with clear purposes
- **Automated**: Validation and CI/CD integration
- **Versioned**: All documentation in git with history
- **Measurable**: KPIs for quality and effectiveness
- **Actionable**: Practical templates and examples
Use this framework as a living document—update it as your team's needs evolve.

View File

@@ -1,16 +1,16 @@
# Architecture Documentation: NATSBridge
**Version**: 1.0.0
**Date**: 2026-03-13
**Version**: 1.1.0
**Date**: 2026-03-23
**Status**: Active
**Ground Truth**: [`src/NATSBridge.jl`](../src/NATSBridge.jl)
**Architecture Level**: C4 Container Level
---
## Executive Summary
## 1. Executive Summary
This document defines the **blueprint** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus.
This document defines the **blueprint** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, **Dart**, and **MicroPython** applications using NATS as the message bus.
This architecture document serves as the single source of truth for:
- **System Structure**: How components fit together and interact
@@ -18,8 +18,29 @@ This architecture document serves as the single source of truth for:
- **Failure Modes**: How the system handles failures and recovers
- **Trade-off Decisions**: The rationale behind architectural decisions
### 1.1 Specification Traceability
| Architecture Section | Specification Reference | UI Specification Reference | Requirement ID(s) |
|---------------------|-------------------------|---------------------------|-------------------|
| Section 2 (Context Diagram) | specification.md:2 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
| Section 3 (Container Diagram) | specification.md:2, specification.md:3, specification.md:11 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
| Section 4 (Component Diagram) | specification.md:2, specification.md:3, specification.md:5, specification.md:11 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
| Section 5 (High-Level) | specification.md:2, specification.md:3, specification.md:5, specification.md:11 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
| Section 6 (Message Envelope) | specification.md:2, specification.md:3, specification.md:8 | - | FR-011, FR-012, FR-013, FR-014, NFR-401, NFR-403 |
| Section 7 (Payload Type) | specification.md:3, specification.md:5, specification.md:6 | - | FR-001, FR-002, FR-003, FR-006, FR-012, NFR-101, NFR-102 |
| Section 8 (Transport Strategy) | specification.md:6, specification.md:7 | - | FR-003, FR-004, FR-005, FR-010, NFR-104, NFR-105, NFR-106 |
| Section 9 (Platform-Specific) | specification.md:13, specification.md:14 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
| Section 10 (Scaling) | specification.md:7, specification.md:13 | - | NFR-101, NFR-102, NFR-103, NFR-104, NFR-105, NFR-106, NFR-107 |
| Section 11 (Failure Modes) | specification.md:9, specification.md:11 | - | FR-008, FR-009, FR-010, FR-011, NFR-201, NFR-202, NFR-203 |
| Section 12 (Trade-offs) | specification.md:2, specification.md:3, specification.md:6, specification.md:7 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 |
| Section 13 (Deployment) | specification.md:12, specification.md:18 | - | FR-013, FR-014, NFR-201, NFR-203 |
| Section 14 (Security) | specification.md:4, specification.md:9, specification.md:12 | - | NFR-301, NFR-302, NFR-303, NFR-401, NFR-402, NFR-403, NFR-404, NFR-405 |
| Section 15 (Testing) | specification.md:17 | - | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
---
## 2. Architecture Overview
## Architecture Overview
### C4 Context Diagram
@@ -35,17 +56,20 @@ flowchart TD
Julia_App[Julia Application]
JS_App[JavaScript Application<br/>Node.js/Browser]
Python_App[Python Application<br/>Desktop]
Dart_App[Dart Application<br/>Desktop/Flutter/Web]
MicroPython_App[MicroPython Device]
end
Julia_App -->|NATS| NATS_Server
JS_App -->|NATS| NATS_Server
Python_App -->|NATS| NATS_Server
Dart_App -->|NATS| NATS_Server
MicroPython_App -->|NATS| NATS_Server
Julia_App -->|HTTP| File_Server
JS_App -->|HTTP| File_Server
Python_App -->|HTTP| File_Server
Dart_App -->|HTTP| File_Server
MicroPython_App -->|HTTP| File_Server
style NATS_Server fill:#fff3e0,stroke:#f57c00
@@ -53,6 +77,7 @@ flowchart TD
style Julia_App fill:#e8f5e9,stroke:#4caf50
style JS_App fill:#e3f2fd,stroke:#2196f3
style Python_App fill:#e3f2fd,stroke:#2196f3
style Dart_App fill:#fff0f6,stroke:#e91e63
style MicroPython_App fill:#fce4ec,stroke:#e91e63
```
@@ -64,6 +89,7 @@ flowchart TD
Julia_Module[Julia NATSBridge Module]
JS_Module[JavaScript NATSBridge Module]
Python_Module[Python NATSBridge Module]
Dart_Module[Dart NATSBridge Module]
MicroPython_Module[MicroPython NATSBridge Module]
end
@@ -80,6 +106,7 @@ flowchart TD
Julia_Module --> NATS_Client
JS_Module --> NATS_Client
Python_Module --> NATS_Client
Dart_Module --> NATS_Client
MicroPython_Module --> NATS_Client
NATS_Client --> NATS_Broker
@@ -87,6 +114,7 @@ flowchart TD
Julia_Module --> File_Client
JS_Module --> File_Client
Python_Module --> File_Client
Dart_Module --> File_Client
MicroPython_Module --> File_Client
File_Client --> File_Server
@@ -94,6 +122,7 @@ flowchart TD
style Julia_Module fill:#e8f5e9,stroke:#4caf50
style JS_Module fill:#e3f2fd,stroke:#2196f3
style Python_Module fill:#e3f2fd,stroke:#2196f3
style Dart_Module fill:#fff0f6,stroke:#e91e63
style MicroPython_Module fill:#fce4ec,stroke:#e91e63
style NATS_Broker fill:#fff3e0,stroke:#f57c00
style File_Server fill:#f3e5f5,stroke:#9c27b4
@@ -159,8 +188,8 @@ flowchart TD
| **_build_envelope** | Build message envelope from payloads | All |
| **_build_payload** | Build payload object from serialized data | All |
| **publish_message** | Publish message to NATS subject | All |
| **fileserver_upload_handler** | Upload large payloads to HTTP server | Desktop |
| **fileserver_download_handler** | Download payloads from HTTP server | Desktop |
| **fileserver_upload_handler** | Upload large payloads to HTTP server | Desktop (Julia/JS/Python/Dart) |
| **fileserver_download_handler** | Download payloads from HTTP server | Desktop (Julia/JS/Python/Dart) |
### Data Flow
@@ -275,8 +304,8 @@ end
|------|-------------|---------------|----------|-----------|
| `text` | Plain text string | UTF-8 bytes | Base64 | All |
| `dictionary` | JSON object | JSON string | Base64/JSON | All |
| `arrowtable` | Apache Arrow IPC | Arrow IPC stream | Base64/arrow-ipc | Desktop |
| `jsontable` | JSON array of objects | JSON string | Base64/json | All |
| `arrowtable` | Apache Arrow IPC | Arrow IPC stream | Base64/arrow-ipc | Desktop (Julia/Python/Node.js/Dart) |
| `jsontable` | JSON array of objects | JSON string | Base64/json | All (including Browser/Dart Web) |
| `image` | Binary image data | Raw bytes | Base64 | All |
| `audio` | Binary audio data | Raw bytes | Base64 | All |
| `video` | Binary video data | Raw bytes | Base64 | All |
@@ -318,7 +347,10 @@ flowchart TD
| Platform | Size Threshold | Notes |
|----------|----------------|-------|
| Desktop (Julia/JS/Python) | 500,000 bytes (0.5MB) | Default threshold |
| Desktop (Julia/JS/Python/Dart) | 500,000 bytes (0.5MB) | Default threshold |
| Dart Desktop | 500,000 bytes (0.5MB) | Default threshold |
| Dart Flutter | 500,000 bytes (0.5MB) | Default threshold |
| Dart Web | 500,000 bytes (0.5MB) | Default threshold |
| MicroPython | 100,000 bytes (100KB) | Lower threshold for memory constraints |
### Transport Selection Flow
@@ -405,21 +437,68 @@ end
JavaScript uses async/await for non-blocking I/O:
- **Class-based NATS Client**: Connection management
- **Class-based NATS Client**: Connection management with `keepAlive` support
- **Module-level Utilities**: Serialization functions
- **Native ArrayBuffer**: Binary data handling
- **Native ArrayBuffer**: Binary data handling (Browser) / Buffer (Node.js)
- **Fetch API**: HTTP file server communication
- **Connection Pooling**: `NATSConnectionPool` for high-throughput scenarios
#### Node.js Implementation (natsbridge_ssr.js)
- **TCP NATS connections**: Uses `nats://` or `tls://` URLs
- **Apache Arrow IPC**: Full support via `apache-arrow`
- **Buffer for binary data**: Native Node.js Buffer handling
```javascript
// Class-based NATS client
// Class-based NATS client with keepAlive support
class NATSClient {
constructor(url) {
constructor(url, keepAlive = false) {
this.url = url;
this.connection = null;
this.keepAlive = keepAlive;
}
async connect() {
if (this.connection) return this.connection;
this.connection = await nats.connect({ servers: this.url });
return this.connection;
}
}
// Connection pool for managing multiple connections
class NATSConnectionPool {
constructor(url, maxSize = 10) {
this.url = url;
this.maxSize = maxSize;
this.connections = new Map();
}
async acquire() { /* Get or create connection */ }
release(client) { /* Return to pool or close */ }
async closeAll() { /* Close all pool connections */ }
}
```
#### Browser Implementation (natsbridge_csr.js)
- **WebSocket NATS connections**: Uses `ws://` or `wss://` URLs via `nats.ws`
- **No Apache Arrow**: Uses `jsontable` for tabular data only
- **Uint8Array for binary data**: Browser-compatible binary handling
- **Web Crypto API**: UUID generation via `crypto.getRandomValues()`
```javascript
// Class-based NATS client with keepAlive support
class NATSClient {
constructor(url, keepAlive = false) {
this.url = url; // ws:// or wss://
this.connection = null;
this.keepAlive = keepAlive;
}
async connect() {
if (this.connection) return this.connection;
this.connection = await nats.connect({ servers: this.url });
return this.connection;
}
}
```
@@ -442,6 +521,60 @@ class NATSBridge:
self.fileserver_url = fileserver_url or self.DEFAULT_FILESERVER_URL
```
### Dart Architecture
Dart uses classes for stateful operations with async/await:
- **Class-based NATSBridge**: Encapsulated API
- **Data classes**: Structured data (MsgPayloadV1, MsgEnvelopeV1)
- **Async/await**: I/O operations
- **dart-arrow**: Arrow IPC support (Desktop/Flutter only)
- **HTTP package**: HTTP file server communication
- **nats package**: NATS client with WebSocket support (Dart Web)
```dart
class NATSBridge {
static const DEFAULT_SIZE_THRESHOLD = 500000;
final String brokerUrl;
final String fileserverUrl;
NATSBridge({
this.brokerUrl = 'nats://localhost:4222',
this.fileserverUrl = 'http://localhost:8080',
});
}
```
#### Dart Desktop (Dart SDK)
- **TCP NATS connections**: Uses `nats://` or `tls://` URLs
- **Apache Arrow IPC**: Full support via `dart-arrow`
- **Uint8List for binary data**: Native Dart binary handling
#### Dart Flutter (Dart SDK)
- **TCP NATS connections**: Uses `nats://` or `tls://` URLs
- **Apache Arrow IPC**: Full support via `dart-arrow`
- **Uint8List for binary data**: Native Dart binary handling
#### Dart Web (Dart SDK)
- **WebSocket NATS connections**: Uses `ws://` or `wss://` URLs via `nats` package
- **No Apache Arrow**: Uses `jsontable` for tabular data only
- **Uint8List for binary data**: Browser-compatible binary handling
- **Fetch API**: HTTP file server communication via `http` package
### Browser Architecture
Browser JavaScript has specific constraints due to security and compatibility:
- **Async/await**: Native async/await support
- **No Apache Arrow**: Arrow IPC not available in browsers
- **JSON table only**: Use "jsontable" for tabular data
- **WebSocket NATS**: Uses nats.ws for browser-compatible NATS connections
- **Fetch API**: HTTP file server communication via fetch
### MicroPython Architecture
MicroPython has significant constraints:
@@ -598,7 +731,7 @@ MAX_PAYLOAD_SIZE = 50_000 # 50KB hard limit
|-----------|---------|-------|
| NATS Server | 1 instance | Single node for development |
| File Server | 1 instance | HTTP server for large payloads |
| Client Memory | 50MB | Desktop platforms |
| Client Memory | 50MB | Desktop platforms (Julia/JS/Python/Dart) |
| Client Memory | 256KB | MicroPython devices |
### Environment Variables
@@ -693,7 +826,7 @@ flowchart TD
| Version | Supported Platforms |
|---------|---------------------|
| v1.0.x | Julia 1.7+, Node.js 16+, Python 3.8+, MicroPython 1.19+ |
| v1.0.x | Julia 1.7+, Node.js 16+, Python 3.8+, Dart 2.17+, MicroPython 1.19+ |
---
@@ -701,16 +834,85 @@ flowchart TD
| Date | Version | Changes |
|------|---------|---------|
| 2026-03-15 | 1.1.0 | JavaScript connection management |
| - | - | Added NATSClient with keepAlive support |
| - | - | Added NATSConnectionPool for connection reuse |
| - | - | Added publishMessage function with closeConnection option |
| 2026-03-13 | 1.0.0 | Initial architecture documentation |
---
## References
## 16. References
- [`docs/requirements.md`](./requirements.md) - Business requirements and user stories
- [`docs/spec.md`](./spec.md) - Technical specification and contracts
- [`src/NATSBridge.jl`](../src/NATSBridge.jl) - Ground truth implementation
- [`README.md`](../README.md) - Project overview
### 16.1 Documentation Artifacts
| Document | Purpose | Specification Traceability | UI Specification Traceability | Requirement ID(s) |
|----------|---------|---------------------------|------------------------------|-------------------|
| [`docs/requirements.md`](./requirements.md) | Business requirements and user stories | FR-001 through FR-014, NFR-101 through NFR-405 | - | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/specification.md`](./specification.md) | Technical contract for NATSBridge | specification.md:2-19 (all sections) | - | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/ui-specification.md`](./ui-specification.md) | UI specification for client applications | - | All UI components and interactions | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/walkthrough.md`](./walkthrough.md) | End-to-end system flow | specification.md:2-19 (all sections) | - | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/architecture.md`](./architecture.md) | System architecture diagrams | specification.md:2-19 (all sections) | - | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/validation.md`](./validation.md) | CI/CD validation rules | specification.md:2-19 (all sections) | - | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/runbook.md`](./runbook.md) | Operational runbook | specification.md:2-19 (all sections) | - | FR-001 through FR-014, NFR-101 through NFR-405 |
### 16.2 Implementation Files
| File | Platform | Features | Specification Traceability | Requirement ID(s) |
|------|----------|----------|---------------------------|-------------------|
| [`src/NATSBridge.jl`](../src/NATSBridge.jl) | Julia | Full feature set, Arrow IPC, multiple dispatch | specification.md:2-19 (all sections) | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_ssr.js`](../src/natsbridge_ssr.js) | Node.js | Arrow IPC, async/await | specification.md:2-19 (all sections) | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_csr.js`](../src/natsbridge_csr.js) | Browser | JSON table only, WebSocket NATS | specification.md:2-19 (all sections) | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge.py`](../src/natsbridge.py) | Python | Arrow IPC, async/await | specification.md:2-19 (all sections) | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge.dart`](../src/natsbridge.dart) | Dart | Full feature set, Arrow IPC, async/await | specification.md:2-19 (all sections) | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_mpy.py`](../src/natsbridge_mpy.py) | MicroPython | Limited to direct transport | specification.md:2-19 (all sections) | FR-005, FR-006, FR-012 |
### 16.3 External Dependencies
| Platform | Package | Version | Purpose | Specification Traceability | Requirement ID(s) |
|----------|---------|---------|---------|---------------------------|-------------------|
| Julia | NATS.jl | Latest | NATS client | specification.md:11 | FR-013, FR-014, NFR-201 |
| Julia | JSON.jl | Latest | JSON serialization | specification.md:11 | FR-012, NFR-101, NFR-102 |
| Julia | Arrow.jl | Latest | Arrow IPC support | specification.md:11 | FR-002, FR-012 |
| Julia | HTTP.jl | Latest | HTTP file server | specification.md:11 | FR-008, FR-009 |
| Julia | UUIDs.jl | Latest | UUID generation | specification.md:11 | FR-011, NFR-401 |
| Node.js | nats | Latest | NATS client (TCP) | specification.md:11 | FR-013, FR-014 |
| Node.js | node-fetch | Latest | HTTP file server | specification.md:11 | FR-008, FR-009 |
| Browser | nats.ws | Latest | NATS client (WebSocket) | specification.md:11 | FR-013, FR-014 |
| Browser | nats | Latest | NATS client (for bundling) | specification.md:11 | FR-013, FR-014 |
| Python | nats-py | Latest | NATS client | specification.md:11 | FR-013, FR-014 |
| Python | aiohttp | Latest | HTTP file server | specification.md:11 | FR-008, FR-009 |
| Python | pyarrow | Latest | Arrow IPC support | specification.md:11 | FR-002, FR-012 |
| Dart | nats | Latest | NATS client | specification.md:11 | FR-013, FR-014 |
| Dart | http | Latest | HTTP file server | specification.md:11 | FR-008, FR-009 |
| Dart | uuid | Latest | UUID generation | specification.md:11 | FR-011, NFR-401 |
| Dart | dart-arrow | Latest | Arrow IPC support | specification.md:11 | FR-002, FR-012 |
| MicroPython | builtin | N/A | Limited implementation | specification.md:11 | FR-005, FR-006, FR-012 |
---
## 17. Change Log
| Date | Version | Changes | Specification Reference |
|------|---------|---------|------------------------|
| 2026-03-23 | 1.1.0 | Updated to ASG Framework architecture guidelines | specification.md:2-19 (all sections) |
| 2026-03-15 | 1.1.0 | JavaScript connection management | specification.md:2-19 (all sections) |
| 2026-03-13 | 1.0.0 | Initial architecture documentation | specification.md:2-19 (all sections) |
---
## 18. Gap-Check Validation
| Stage Transition | Gap-Check Question | Status |
|------------------|-------------------|--------|
| Requirements → Specification | Does the Specification define all edge cases and conflict scenarios from the Requirements? | ✅ Verified - All FR-XXX requirements have corresponding spec rules |
| Specification → UI Specification | Does the UI Specification expose all the data and states defined in the Specification? | ⏳ Pending - UI spec not yet created |
| UI Specification → Walkthrough | Does the Walkthrough reflect the complete flow including error states and timing? | ⏳ Pending - UI spec not yet created |
| Walkthrough → Architecture | Does the Architecture support the performance and integration requirements defined in the Walkthrough? | ✅ Verified - Architecture supports all walkthrough flows |
---
*This architecture document is versioned and maintained in git alongside the codebase. All implementations must adhere to this architecture.*
---

View File

@@ -1,33 +1,38 @@
# Requirements Document: NATSBridge
**Version**: 1.0.0
**Date**: 2026-03-13
**Date**: 2026-03-23
**Status**: Active
**Ground Truth**: [`src/NATSBridge.jl`](../src/NATSBridge.jl)
---
## Executive Summary
## 1. Business Context & Success Metrics
NATSBridge is a cross-platform, bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus. The system implements the **Claim-Check pattern** for efficient handling of large payloads (>0.5MB) by uploading them to an HTTP file server instead of sending raw binary data over NATS.
### 1.1 Business Goal
---
NATSBridge is a cross-platform, bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, **Dart**, and **MicroPython** applications using NATS as the message bus. The system implements the **Claim-Check pattern** for efficient handling of large payloads (>0.5MB) by uploading them to an HTTP file server instead of sending raw binary data over NATS.
## Business Goals
### 1.2 User Stories (with acceptance criteria)
### Primary Objectives
| Story | Priority | Acceptance Criteria |
|-------|----------|---------------------|
| **As a Julia developer**, I want to send text messages to JavaScript/Dart applications that lives on a server and also on a browser | P1 | Text messages are serialized, encoded, and received correctly across platforms |
| **As a Python developer**, I want to send tabular data to Julia/Dart applications | P1 | DataFrame exchange works with both Arrow IPC and JSON formats |
| **As a JavaScript developer**, I want to send large files (>0.5MB) from JavaScript applications that lives on a server and also on a browser to other applications | P1 | Large files are automatically uploaded to file server and URLs are sent via NATS |
| **As a Dart developer**, I want to send text messages to other platforms | P1 | Text messages are serialized, encoded, and received correctly across platforms |
| **As a Dart developer**, I want to send dictionary data to other platforms | P1 | JSON-serializable data is exchanged correctly |
| **As a Dart developer**, I want to send tabular data (List<Map>) to other platforms | P1 | JSON table format exchange works with Arrow IPC on desktop |
| **As a Dart developer**, I want to send large files (>0.5MB) | P1 | Large files are automatically uploaded to file server and URLs are sent via NATS |
| **As a MicroPython developer**, I want to send sensor data with minimal memory usage | P1 | Direct transport works for payloads <100KB on memory-constrained devices |
| **As a developer**, I want to send mixed-content messages (text + image + file) | P1 | NATSBridge accepts list of (dataname, data, type) tuples and handles each payload appropriately |
| **As a developer**, I want to receive multi-payload messages | P1 | NATSBridge returns payloads as list of tuples with correct types preserved |
| **As a developer**, I want to use Plik as the file server | P2 | Plik one-shot upload mode is supported with upload ID and token handling |
| **As a developer**, I want to use custom HTTP file servers | P2 | Handler function abstraction allows plugging in AWS S3 or custom implementations |
| **As a developer**, I want automatic retry on file server download failures | P1 | Exponential backoff with configurable retries (default: 5, base_delay: 100ms, max_delay: 5000ms) |
| **As a developer**, I want message tracing across distributed systems | P1 | Correlation ID is propagated through all message processing steps |
1. **Cross-Platform Interoperability**: Enable seamless data exchange between Julia, JavaScript (for both Server-Side rendering and Client-Side rendering webapp), Python, and MicroPython applications without platform-specific barriers.
2. **Efficient Large Payload Handling**: Implement intelligent transport selection based on payload size:
- **Direct Transport**: Small payloads (<0.5MB) sent directly via NATS
- **Link Transport**: Large payloads (≥0.5MB) uploaded to HTTP file server, URL sent via NATS
3. **Unified API Across Platforms**: Provide consistent `smartsend()` and `smartreceive()` functions across all supported platforms while maintaining idiomatic implementations.
4. **Developer Productivity**: Reduce onboarding time and simplify integration through comprehensive documentation and test examples.
### Success Metrics
### 1.3 KPIs & Targets
| Metric | Target | Measurement Method |
|--------|--------|-------------------|
@@ -40,90 +45,22 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
---
## User Stories
## 2. Technical Boundaries
### Core Functionality
### 2.1 In Scope
| Story | Priority | Acceptance Criteria |
|-------|----------|---------------------|
| **As a Julia developer**, I want to send text messages to JavaScript applications that lives on a server and also on a browser | P1 | Text messages are serialized, encoded, and received correctly across platforms |
| **As a Python developer**, I want to send tabular data to Julia applications | P1 | DataFrame exchange works with both Arrow IPC and JSON formats |
| **As a JavaScript developer**, I want to send large files (>0.5MB) from JavaScript applications that lives on a server and also on a browser to other applications | P1 | Large files are automatically uploaded to file server and URLs are sent via NATS |
| **As a MicroPython developer**, I want to send sensor data with minimal memory usage | P1 | Direct transport works for payloads <100KB on memory-constrained devices |
| Feature | Description |
|---------|-------------|
| Cross-platform interoperability | Seamless data exchange between Julia, JavaScript, Python, Dart, and MicroPython |
| Intelligent transport selection | Direct transport (<0.5MB) vs Link transport (≥0.5MB) based on payload size |
| Unified API | Consistent `smartsend()` and `smartreceive()` functions across all platforms |
| Multi-payload support | List of (dataname, data, type) tuples with appropriate handling |
| File server integration | Plik one-shot upload and custom HTTP server support |
| Reliability features | Exponential backoff retry and correlation ID propagation |
| Message serialization | Converts data types to binary format (Base64, JSON, Arrow IPC) |
| NATS communication | Publishing and subscription via NATS subjects |
### Multi-Payload Support
| Story | Priority | Acceptance Criteria |
|-------|----------|---------------------|
| **As a developer**, I want to send mixed-content messages (text + image + file) | P1 | NATSBridge accepts list of (dataname, data, type) tuples and handles each payload appropriately |
| **As a developer**, I want to receive multi-payload messages | P1 | NATSBridge returns payloads as list of tuples with correct types preserved |
### File Server Integration
| Story | Priority | Acceptance Criteria |
|-------|----------|---------------------|
| **As a developer**, I want to use Plik as the file server | P2 | Plik one-shot upload mode is supported with upload ID and token handling |
| **As a developer**, I want to use custom HTTP file servers | P2 | Handler function abstraction allows plugging in AWS S3 or custom implementations |
### Reliability Features
| Story | Priority | Acceptance Criteria |
|-------|----------|---------------------|
| **As a developer**, I want automatic retry on file server download failures | P1 | Exponential backoff with configurable retries (default: 5, base_delay: 100ms, max_delay: 5000ms) |
| **As a developer**, I want message tracing across distributed systems | P1 | Correlation ID is propagated through all message processing steps |
---
## Non-Functional Requirements
### Performance Requirements
| Requirement | Specification | Test Method |
|-------------|---------------|-------------|
| Message serialization overhead | <50ms for 10KB payload | Benchmark tests |
| Message deserialization overhead | <50ms for 10KB payload | Benchmark tests |
| NATS connection establishment | <100ms | Connection pool benchmarks |
| File upload latency | <1s for 0.5MB file | Integration tests |
| File download latency | <1s for 0.5MB file | Integration tests |
### Scalability Requirements
| Requirement | Specification |
|-------------|---------------|
| Concurrent connections | Support 100+ simultaneous NATS connections |
| Message throughput | Handle 1000+ messages/second per instance |
| File server scalability | Support horizontal scaling of file server backend |
### Reliability Requirements
| Requirement | Specification |
|-------------|---------------|
| Message delivery | At-least-once delivery semantics via NATS |
| File server availability | Graceful degradation when file server is unavailable |
| Connection recovery | Auto-reconnect on NATS connection failure |
### Security Requirements
| Requirement | Specification |
|-------------|---------------|
| Payload integrity | SHA-256 checksum support via metadata |
| Transport security | TLS support for NATS connections |
| File server security | Authentication token for file uploads |
### Compatibility Requirements
| Platform | Minimum Version | Notes |
|----------|-----------------|-------|
| Julia | 1.7+ | Arrow.jl required for arrowtable support |
| Node.js | 16+ | nats.js required |
| Python | 3.8+ | pyarrow required for arrowtable support |
| MicroPython | 1.19+ | Limited to direct transport |
---
## Out of Scope
### Phase 1 (Current Implementation)
### 2.2 Out of Scope
| Feature | Reason |
|---------|--------|
@@ -133,94 +70,173 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
| Persistent message queues | NATS request-reply pattern sufficient |
| Advanced routing rules | Simple NATS subject matching sufficient |
### Future Considerations
### 2.3 Dependencies
| Feature | Future Phase |
|---------|--------------|
| JetStream streams and consumers | Phase 2 |
| Message TTL and dead-letter queues | Phase 3 |
| Message tracing with OpenTelemetry | Phase 3 |
| Rate limiting and quota management | Phase 4 |
| Platform | Package | Version |
|----------|---------|---------|
| Julia | NATS.jl | Latest stable |
| Julia | JSON.jl | Latest stable |
| Julia | Arrow.jl | Latest stable |
| Julia | HTTP.jl | Latest stable |
| Julia | UUIDs.jl | Latest stable |
| Node.js | nats | Latest stable |
| Node.js | node-fetch | Latest stable |
| Python | nats-py | Latest stable |
| Python | aiohttp | Latest stable |
| Python | pyarrow | Latest stable |
| Browser | nats.ws | Latest stable |
| Dart | nats | Latest stable |
| Dart | http | Latest stable |
| Dart | uuid | Latest stable |
### 2.4 Platform Compatibility
| Platform | Minimum Version | Notes |
|----------|-----------------|-------|
| Julia | 1.7+ | Arrow.jl required for arrowtable support |
| Node.js | 16+ | nats.js required, Arrow IPC supported |
| Python | 3.8+ | pyarrow required for arrowtable support |
| Browser | Latest | No Arrow IPC (uses jsontable only) |
| Dart | 2.17+ | Supports Desktop (Dart SDK), Flutter (Dart SDK), and Web (Dart SDK) |
| MicroPython | 1.19+ | Limited to direct transport |
---
## Boundary Definitions
## 3. Functional Requirements (FR)
### What NATSBridge Handles
| Function | Description |
|----------|-------------|
| Message serialization | Converts data types to binary format |
| Message encoding | Base64, JSON, Arrow IPC encoding |
| Transport selection | Direct vs link based on size threshold |
| NATS publishing | Publishes messages to NATS subjects |
| NATS subscription | Receives and processes NATS messages |
| File server upload | Uploads large payloads to HTTP server |
| File server download | Downloads payloads from HTTP server with retry |
| Correlation ID generation | Creates and propagates UUIDs |
| Data deserialization | Converts binary format back to native types |
### What NATSBridge Does NOT Handle
| Function | Handled By |
|----------|------------|
| NATS server management | External NATS deployment |
| File server management | External HTTP server deployment |
| Application business logic | Application code using NATSBridge |
| Message encryption | Application layer |
| Message compression | Application layer |
| Authentication/Authorization | NATS server configuration |
| ID | Requirement | Description |
|----|-------------|-------------|
| **FR-001** | Cross-platform text messaging | System shall allow users to send text messages between Julia, JavaScript, Python, and MicroPython applications |
| **FR-002** | Cross-platform tabular data | System shall support DataFrame exchange between Julia and Python applications using Arrow IPC format |
| **FR-003** | Large file handling | System shall automatically detect payloads ≥0.5MB and upload them to HTTP file server instead of sending via NATS |
| **FR-004** | Direct transport for small payloads | System shall send payloads <0.5MB directly via NATS without file server upload |
| **FR-005** | MicroPython support | System shall support payloads <100KB on MicroPython devices using direct transport |
| **FR-006** | Multi-payload messages | System shall accept and process lists of (dataname, data, type) tuples |
| **FR-007** | Payload type preservation | System shall preserve payload types when returning multi-payload messages |
| **FR-008** | Plik file server integration | System shall support Plik one-shot upload mode with upload ID and token handling |
| **FR-009** | Custom file server support | System shall provide handler function abstraction for custom HTTP file server implementations |
| **FR-010** | Exponential backoff retry | System shall implement exponential backoff with configurable retries (default: 5, base_delay: 100ms, max_delay: 5000ms) for file server download failures |
| **FR-011** | Correlation ID propagation | System shall propagate correlation IDs through all message processing steps |
| **FR-012** | Message serialization | System shall serialize data types using Base64, JSON, or Arrow IPC encoding |
| **FR-013** | NATS publishing | System shall publish messages to NATS subjects |
| **FR-014** | NATS subscription | System shall receive and process NATS messages |
---
## Payload Type Requirements
## 4. Non-Functional Requirements (NFRs)
### Supported Payload Types
### 4.1 Performance & Scalability
| Type | Julia | JavaScript | Python | MicroPython | Description |
|------|-------|------------|--------|-------------|-------------|
| `text` | `String` | `string` | `str` | `str` | Plain text strings |
| `dictionary` | `Dict`, `NamedTuple` | `Object`, `Array` | `dict`, `list` | `dict` | JSON-serializable data |
| `arrowtable` | `DataFrame`, `Arrow.Table` | `Array<Object>` | `pandas.DataFrame` | ❌ | Tabular data (Arrow IPC) |
| `jsontable` | `Vector{NamedTuple}` | `Array<Object>` | `list[dict]` | ⚠️ | Tabular data (JSON) |
| `image` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Image binary data |
| `audio` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Audio binary data |
| `video` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `bytearray` | Video binary data |
| `binary` | `Vector{UInt8}`, `IOBuffer` | `Uint8Array`, `Buffer` | `bytes`, `bytearray` | `bytearray` | Generic binary data |
| ID | Requirement | Specification | Test Method |
|----|-------------|---------------|-------------|
| **NFR-101** | Message serialization overhead | <50ms for 10KB payload | Benchmark tests |
| **NFR-102** | Message deserialization overhead | <50ms for 10KB payload | Benchmark tests |
| **NFR-103** | NATS connection establishment | <100ms | Connection pool benchmarks |
| **NFR-104** | File upload latency | <1s for 0.5MB file | Integration tests |
| **NFR-105** | File download latency | <1s for 0.5MB file | Integration tests |
| **NFR-106** | Concurrent connections | Support 100+ simultaneous NATS connections | Scale testing |
| **NFR-107** | Message throughput | Handle 1000+ messages/second per instance | Load testing |
| **NFR-108** | File server scalability | Support horizontal scaling of file server backend | Architecture review |
### Encoding Requirements
### 4.2 Availability & Reliability
| ID | Requirement | Specification |
|----|-------------|---------------|
| **NFR-201** | Message delivery | At-least-once delivery semantics via NATS |
| **NFR-202** | File server availability | Graceful degradation when file server is unavailable |
| **NFR-203** | Connection recovery | Auto-reconnect on NATS connection failure |
### 4.3 Privacy & Security
| ID | Requirement | Specification |
|----|-------------|---------------|
| **NFR-301** | Payload integrity | SHA-256 checksum support via metadata |
| **NFR-302** | Transport security | TLS support for NATS connections |
| **NFR-303** | File server security | Authentication token for file uploads |
### 4.4 Observability & Telemetry
| ID | Requirement | Specification |
|----|-------------|---------------|
| **NFR-401** | Required logs | `correlation_id`, `msg_id`, `timestamp`, `sender_name`, `receiver_name`, `payload_type`, `transport` |
| **NFR-402** | Critical metrics | `messages_sent_total`, `messages_received_total`, `file_upload_duration_seconds`, `file_download_duration_seconds`, `retry_attempts_total` |
| **NFR-403** | Tracing | Correlation ID propagation for request tracing |
| **NFR-404** | Alerting | `download_retry_exceeded` triggers alert when max retries exceeded |
| **NFR-405** | Retention | Logs: 30 days, Metrics: 1 year |
---
## 5. Acceptance Conditions
| Condition | Description |
|-----------|-------------|
| **AC-001** | All functional requirements FR-001 through FR-014 are implemented and tested |
| **AC-002** | All non-functional requirements NFR-101 through NFR-405 meet specified targets |
| **AC-003** | Cross-platform text message test passes (Julia ↔ JavaScript ↔ Python) |
| **AC-004** | Cross-platform tabular data test passes with Arrow IPC round-trip (Desktop) |
| **AC-005** | Cross-platform tabular data test passes with JSON table round-trip (Browser) |
| **AC-006** | Large file transfer test passes with file server upload/download |
| **AC-007** | Multi-payload mixed content test passes with all payload types in one message |
| **AC-008** | CI validation gates block PRs on specification violations |
| **AC-009** | Unit test coverage exceeds 80% |
| **AC-010** | Documentation is complete and includes walkthroughs, architecture, and runbook |
---
## 6. Payload Type Requirements
### 6.1 Supported Payload Types
| Type | Julia | JavaScript | Python | Dart | MicroPython | Description |
|------|-------|------------|--------|------|-------------|-------------|
| `text` | `String` | `string` | `str` | `String` | `str` | Plain text strings |
| `dictionary` | `Dict`, `NamedTuple` | `Object`, `Array` | `dict`, `list` | `Map` | `dict` | JSON-serializable data |
| `arrowtable` | `DataFrame`, `Arrow.Table` | ❌ (Browser), ✅ (Node.js) | `pandas.DataFrame` | `List<Map>` (Desktop), `List<dynamic>` (Flutter) | ❌ | Tabular data (Arrow IPC) |
| `jsontable` | `Vector{NamedTuple}` | `Array<Object>` | `list[dict]` | `List<Map>` | ⚠️ | Tabular data (JSON) - **Only table type in Browser** |
| `image` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `Uint8List` | `bytearray` | Image binary data |
| `audio` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `Uint8List` | `bytearray` | Audio binary data |
| `video` | `Vector{UInt8}` | `Uint8Array`, `Buffer` | `bytes` | `Uint8List` | `bytearray` | Video binary data |
| `binary` | `Vector{UInt8}`, `IOBuffer` | `Uint8Array`, `Buffer` | `bytes`, `bytearray` | `Uint8List` | `bytearray` | Generic binary data |
### 6.2 Encoding Requirements
| Payload Type | Encoding Method | Notes |
|--------------|-----------------|-------|
| `text` | UTF-8 → Base64 | Text must be String type |
| `dictionary` | JSON → Base64 | JSON.jl for Julia |
| `arrowtable` | Arrow IPC → Base64 | Requires Arrow.jl/pyarrow |
| `jsontable` | JSON → Base64 | Human-readable format |
| `arrowtable` | Arrow IPC → Base64 | Requires Arrow.jl/pyarrow (Desktop only) |
| `jsontable` | JSON → Base64 | Human-readable format - **Browser uses this only** |
| `image`/`audio`/`video`/`binary` | Direct → Base64 | Binary data preserved |
---
## Size Threshold Requirements
## 7. Size Threshold Requirements
### Direct Transport Threshold
### 7.1 Direct Transport Threshold
| Platform | Threshold | Notes |
|----------|-----------|-------|
| Desktop (Julia/JS/Python) | 0.5MB | Default size threshold |
| Desktop (Julia/JS/Python/Dart) | 0.5MB | Default size threshold |
| Dart Desktop | 0.5MB | Default size threshold |
| Dart Flutter | 0.5MB | Default size threshold |
| Dart Web | 0.5MB | Default size threshold |
| MicroPython | 100KB | Lower threshold for memory constraints |
### Maximum Payload Size
### 7.2 Maximum Payload Size
| Platform | Maximum | Notes |
|----------|---------|-------|
| Desktop | Unlimited | Limited by NATS server configuration |
| Dart Desktop | Unlimited | Limited by NATS server configuration |
| Dart Flutter | Unlimited | Limited by NATS server configuration |
| Dart Web | Unlimited | Limited by NATS server configuration |
| MicroPython | 50KB | Hard limit due to 256KB-1MB memory |
---
## Message Envelope Requirements
## 8. Message Envelope Requirements
### Required Fields
### 8.1 Required Fields
| Field | Type | Purpose |
|-------|------|---------|
@@ -239,7 +255,7 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
| `metadata` | Dict | Message-level metadata |
| `payloads` | Array | List of payload objects |
### Payload Fields
### 8.2 Payload Fields
| Field | Type | Purpose |
|-------|------|---------|
@@ -254,9 +270,9 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
---
## Error Handling Requirements
## 9. Error Handling Requirements
### Error Codes
### 9.1 Error Codes
| Error | Condition | Response |
|-------|-----------|----------|
@@ -266,7 +282,7 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
| `Unknown transport` | Invalid transport type | Throw error |
| `NATS connection failed` | NATS unavailable | Throw error |
### Exception Handling
### 9.2 Exception Handling
| Scenario | Handler |
|----------|---------|
@@ -277,9 +293,9 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
---
## Testing Requirements
## 10. Testing Requirements
### Unit Tests
### 10.1 Unit Tests
| Test Category | Coverage | Files |
|---------------|----------|-------|
@@ -289,20 +305,21 @@ NATSBridge is a cross-platform, bi-directional data bridge that enables seamless
| File server upload | Plik integration | Platform-specific |
| File server download | Exponential backoff | Platform-specific |
### Integration Tests
### 10.2 Integration Tests
| Test Scenario | Success Criteria |
|-------------|-----------------|
| Cross-platform text message | Julia ↔ JavaScript ↔ Python |
| Cross-platform tabular data | Arrow IPC round-trip |
| Cross-platform tabular data (Desktop) | Arrow IPC round-trip |
| Cross-platform tabular data (Browser) | JSON table round-trip |
| Large file transfer | File server upload/download |
| Multi-payload mixed content | All payload types in one message |
---
## API Contract
## 11. API Contract
### smartsend Signature
### 11.1 smartsend Signature
```julia
function smartsend(
@@ -326,7 +343,7 @@ function smartsend(
)::Tuple{msg_envelope_v1, String}
```
### smartreceive Signature
### 11.2 smartreceive Signature
```julia
function smartreceive(
@@ -340,44 +357,18 @@ function smartreceive(
---
## Dependencies
## 12. Deployment Requirements
### Required Dependencies
| Platform | Package | Version |
|----------|---------|---------|
| Julia | NATS.jl | Latest stable |
| Julia | JSON.jl | Latest stable |
| Julia | Arrow.jl | Latest stable |
| Julia | HTTP.jl | Latest stable |
| Julia | UUIDs.jl | Latest stable |
| Node.js | nats | Latest stable |
| Node.js | node-fetch | Latest stable |
| Python | nats-py | Latest stable |
| Python | aiohttp | Latest stable |
| Python | pyarrow | Latest stable |
### Optional Dependencies
| Platform | Package | Use Case |
|----------|---------|----------|
| Julia | DataFrames.jl | DataFrame support for arrowtable |
| Python | pandas | DataFrame support for arrowtable |
---
## Deployment Requirements
### Minimum Infrastructure
### 12.1 Minimum Infrastructure
| Component | Minimum | Notes |
|-----------|---------|-------|
| NATS Server | 1 instance | Single node for development |
| File Server | 1 instance | HTTP server for large payloads |
| Client Memory | 50MB | Desktop platforms |
| Client Memory | 50MB | Desktop platforms (Julia/JS/Python/Dart) |
| Client Memory | 256KB | MicroPython devices |
### Environment Variables
### 12.2 Environment Variables
| Variable | Default | Description |
|----------|---------|-------------|
@@ -387,34 +378,42 @@ function smartreceive(
---
## Versioning
## 13. Versioning
### Current Version
### 13.1 Current Version
- **Major**: 1 (Breaking changes require major version bump)
- **Minor**: 0 (Feature additions)
- **Patch**: 0 (Bug fixes)
### Version Compatibility
### 13.2 Version Compatibility
| Version | Supported Platforms |
|---------|---------------------|
| v1.0.x | Julia 1.7+, Node.js 16+, Python 3.8+, MicroPython 1.19+ |
| v1.0.x | Julia 1.7+, Node.js 16+, Python 3.8+, Dart 2.17+, Browser (latest), MicroPython 1.19+ |
---
## Change Log
## 14. Change Log
| Date | Version | Changes |
|------|---------|---------|
| 2026-03-13 | 1.0.0 | Initial requirements document |
| 2026-03-23 | 1.0.0 | Updated to ASG Framework requirements structure |
---
## References
## 15. References
- [`src/NATSBridge.jl`](../src/NATSBridge.jl) - Ground truth implementation
- [`src/NATSBridge.jl`](../src/NATSBridge.jl) - Ground truth implementation (Julia)
- [`src/natsbridge_ssr.js`](../src/natsbridge_ssr.js) - Server-side JavaScript implementation
- [`src/natsbridge_csr.js`](../src/natsbridge_csr.js) - Client-side JavaScript implementation
- [`src/natsbridge.py`](../src/natsbridge.py) - Python implementation
- [`src/natsbridge.dart`](../src/natsbridge.dart) - Dart implementation
- [`src/natsbridge_mpy.py`](../src/natsbridge_mpy.py) - MicroPython implementation
- [`README.md`](../README.md) - Project overview
- [`docs/specification.md`](./specification.md) - Technical specification
- [`docs/ui-specification.md`](./ui-specification.md) - UI specification
- [`docs/walkthrough.md`](./walkthrough.md) - End-to-end walkthrough
- [`docs/architecture.md`](./architecture.md) - Architecture documentation
- [`docs/implementation.md`](./implementation.md) - Implementation details
- [`docs/walkthrough.md`](./walkthrough.md) - Usage examples
- [`docs/validation.md`](./validation.md) - Validation and CI/CD
- [`docs/runbook.md`](./runbook.md) - Operational runbook

View File

@@ -1,16 +1,16 @@
# Specification: NATSBridge
**Version**: 1.0.0
**Date**: 2026-03-13
**Version**: 1.1.0
**Date**: 2026-03-23
**Status**: Active
**Ground Truth**: [`src/NATSBridge.jl`](../src/NATSBridge.jl)
**Specification Format**: JSON Schema + AsyncAPI
---
## Executive Summary
## 1. Technical Contract Overview
This document defines the **technical contract** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus.
This document defines the **technical contract** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, **Dart**, and **MicroPython** applications using NATS as the message bus.
This specification serves as the single source of truth for:
- **Inputs**: What data structures are accepted by `smartsend()`
@@ -18,8 +18,33 @@ This specification serves as the single source of truth for:
- **Data Shapes**: Exact field names, types, and constraints
- **Error Codes**: Standardized error responses for failure scenarios
### 1.1 Requirements Traceability
| Specification Section | Requirement ID(s) | Description |
|----------------------|-------------------|-------------|
| Section 2 (Message Envelope) | FR-012, FR-013, NFR-101, NFR-102 | Message envelope structure and validation |
| Section 3 (Payload Schema) | FR-001, FR-002, FR-003, FR-004, NFR-101, NFR-102 | Payload structure and field definitions |
| Section 4 (Payload Format) | FR-006, FR-007 | Tuple format for smartsend() |
| Section 5 (Enumerations) | FR-003, FR-004, FR-006, NFR-101 | Enumerations for transport and encoding |
| Section 6 (Transport Protocols) | FR-003, FR-004, NFR-104, NFR-105 | Direct and link transport protocols |
| Section 7 (Size Thresholds) | FR-004, FR-005, NFR-104, NFR-105 | Size thresholds for transport selection |
| Section 8 (NATS Subject Convention) | FR-013, FR-014 | NATS subject naming patterns |
| Section 9 (Error Handling) | FR-010, FR-011, NFR-201, NFR-202, NFR-203 | Error codes and exception handling |
| Section 10 (Serialization Rules) | FR-001, FR-002, FR-003, FR-012, NFR-101, NFR-102 | Serialization and encoding rules |
| Section 11 (API Contract) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 | Function signatures for all platforms |
| Section 12 (File Server Interface) | FR-008, FR-009, FR-010 | Upload and download handler contracts |
| Section 13 (Platform-Specific Constraints) | FR-005, FR-006, NFR-106, NFR-107 | Platform-specific feature support |
| Section 14 (Implementation Files) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007 | Implementation file mapping |
| Section 15 (Message Flow) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 | Mermaid diagrams for send/receive flows |
| Section 16 (Validation Rules) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 | Envelope and payload validation rules |
| Section 17 (Test Contracts) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 | Unit and integration test scenarios |
| Section 18 (Dependencies) | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 | Platform-specific dependencies |
| Section 19 (Change Log) | N/A | Version history and changes |
---
## 2. Message Envelope Schema
## Specification Versioning
| Component | Version | Notes |
@@ -65,22 +90,22 @@ This specification serves as the single source of truth for:
### Field Definitions
| Field | Type | Required | Validation | Description |
|-------|------|----------|------------|-------------|
| `correlation_id` | `string` | Yes | UUID v4 format | Track message flow across distributed systems |
| `msg_id` | `string` | Yes | UUID v4 format | Unique identifier for this specific message |
| `timestamp` | `string` | Yes | ISO 8601 UTC | Message publication timestamp (e.g., `2026-03-13T07:02:50.443Z`) |
| `send_to` | `string` | Yes | Non-empty string | NATS subject/topic to publish the message to |
| `msg_purpose` | `string` | Yes | Enum | Purpose of the message (see `msg_purpose` enum) |
| `sender_name` | `string` | Yes | Non-empty string | Name of the sender application |
| `sender_id` | `string` | Yes | UUID v4 format | Unique identifier for the sender |
| `receiver_name` | `string` | Yes | Any string | Name of the receiver (empty = broadcast) |
| `receiver_id` | `string` | Yes | Any string | UUID of the receiver (empty = broadcast) |
| `reply_to` | `string` | Yes | Any string | Topic where receiver should reply (empty = no reply expected) |
| `reply_to_msg_id` | `string` | Yes | Any string | Message ID this message is replying to |
| `broker_url` | `string` | Yes | Valid URL | NATS broker URL |
| `metadata` | `object` | No | Any JSON object | Message-level metadata |
| `payloads` | `array` | Yes | Non-empty array | List of payload objects |
| Field | Type | Required | Validation | Description | Requirement ID |
|-------|------|----------|------------|-------------|----------------|
| `correlation_id` | `string` | Yes | UUID v4 format | Track message flow across distributed systems | FR-011, NFR-401 |
| `msg_id` | `string` | Yes | UUID v4 format | Unique identifier for this specific message | FR-012, NFR-401 |
| `timestamp` | `string` | Yes | ISO 8601 UTC | Message publication timestamp | FR-012, NFR-401 |
| `send_to` | `string` | Yes | Non-empty string | NATS subject/topic to publish the message to | FR-013 |
| `msg_purpose` | `string` | Yes | Enum | Purpose of the message | FR-013 |
| `sender_name` | `string` | Yes | Non-empty string | Name of the sender application | FR-013 |
| `sender_id` | `string` | Yes | UUID v4 format | Unique identifier for the sender | FR-013 |
| `receiver_name` | `string` | Yes | Any string | Name of the receiver (empty = broadcast) | FR-013 |
| `receiver_id` | `string` | Yes | Any string | UUID of the receiver (empty = broadcast) | FR-013 |
| `reply_to` | `string` | Yes | Any string | Topic where receiver should reply | FR-013 |
| `reply_to_msg_id` | `string` | Yes | Any string | Message ID this message is replying to | FR-013 |
| `broker_url` | `string` | Yes | Valid URL | NATS broker URL | FR-013 |
| `metadata` | `object` | No | Any JSON object | Message-level metadata | NFR-401 |
| `payloads` | `array` | Yes | Non-empty array | List of payload objects | FR-012, FR-013 |
---
@@ -103,16 +128,16 @@ This specification serves as the single source of truth for:
### Payload Field Definitions
| Field | Type | Required | Validation | Description |
|-------|------|----------|------------|-------------|
| `id` | `string` | Yes | UUID v4 format | Unique identifier for this payload |
| `dataname` | `string` | Yes | Non-empty string | Name of the payload (e.g., `login_image`, `user_data`) |
| `payload_type` | `string` | Yes | Enum | Type of payload (see `payload_type` enum) |
| `transport` | `string` | Yes | Enum | Transport method: `direct` or `link` |
| `encoding` | `string` | Yes | Enum | Encoding method (see `encoding` enum) |
| `size` | `integer` | Yes | Positive integer | Size of the payload in bytes |
| `data` | `string` or `URL` | Yes | Base64 string or URL | Payload data (base64 for direct, URL for link) |
| `metadata` | `object` | No | Any JSON object | Payload-level metadata |
| Field | Type | Required | Validation | Description | Requirement ID |
|-------|------|----------|------------|-------------|----------------|
| `id` | `string` | Yes | UUID v4 format | Unique identifier for this payload | FR-012 |
| `dataname` | `string` | Yes | Non-empty string | Name of the payload (e.g., `login_image`, `user_data`) | FR-001, FR-002, FR-003 |
| `payload_type` | `string` | Yes | Enum | Type of payload (see `payload_type` enum) | FR-001, FR-002, FR-003, FR-006 |
| `transport` | `string` | Yes | Enum | Transport method: `direct` or `link` | FR-003, FR-004, NFR-104, NFR-105 |
| `encoding` | `string` | Yes | Enum | Encoding method (see `encoding` enum) | FR-001, FR-002, FR-003, FR-012 |
| `size` | `integer` | Yes | Positive integer | Size of the payload in bytes | FR-003, FR-004, NFR-104, NFR-105 |
| `data` | `string` or `URL` | Yes | Base64 string or URL | Payload data (base64 for direct, URL for link) | FR-003, FR-004, FR-008, FR-009, FR-010 |
| `metadata` | `object` | No | Any JSON object | Payload-level metadata | NFR-401 |
---
@@ -176,6 +201,7 @@ await smartsend("/agent/v1/process", data)
| All | `String` | `"text"` |
| All | `Dict`/`Object` | `"dictionary"` |
| Desktop | `DataFrame` | `"arrowtable"` or `"jsontable"` |
| Browser | `Array` of objects | `"jsontable"` (only table type) |
| All | `Array` of objects | `"jsontable"` |
| All | `Uint8Array`/`Buffer`/`bytes` | `"binary"` |
| Desktop | `Arrow.Table` | `"arrowtable"` |
@@ -203,8 +229,8 @@ await smartsend("/agent/v1/process", data)
|-------|-------------|---------------------|------------------|
| `text` | Plain text string | All | `base64` |
| `dictionary` | JSON object/dictionary | All | `base64`, `json` |
| `arrowtable` | Apache Arrow IPC table | Desktop (Julia/JS/Python) | `base64`, `arrow-ipc` |
| `jsontable` | JSON array of objects | All | `base64`, `json` |
| `arrowtable` | Apache Arrow IPC table | Desktop (Julia/Python/Node.js/Dart) | `base64`, `arrow-ipc` |
| `jsontable` | JSON array of objects | All (including Browser/Dart Web) | `base64`, `json` |
| `image` | Binary image data | All | `base64` |
| `audio` | Binary audio data | All | `base64` |
| `video` | Binary video data | All | `base64` |
@@ -324,25 +350,25 @@ When `transport = "link"`, the `data` field contains a URL pointing to the uploa
### Error Codes
| Code | HTTP Status | Description | Recovery |
|------|-------------|-------------|----------|
| `INVALID_ENVELOPE` | 400 | Message envelope validation failed | Fix envelope structure |
| `INVALID_PAYLOAD_TYPE` | 400 | Unsupported payload type | Use supported payload_type |
| `INVALID_TRANSPORT` | 400 | Unsupported transport type | Use `direct` or `link` |
| `UPLOAD_FAILED` | 500 | File server upload failed | Retry or use direct transport |
| `DOWNLOAD_FAILED` | 503 | File server download failed | Retry with exponential backoff |
| `NATS_CONNECTION_FAILED` | 503 | NATS connection failed | Check NATS server availability |
| `DESERIALIZATION_ERROR` | 500 | Payload deserialization failed | Check payload_type matches data |
| `SIZE_EXCEEDED` | 413 | Payload exceeds maximum size | Split payload or use link transport |
| Code | HTTP Status | Description | Recovery | Requirement ID |
|------|-------------|-------------|----------|----------------|
| `INVALID_ENVELOPE` | 400 | Message envelope validation failed | Fix envelope structure | FR-012, FR-013, FR-014 |
| `INVALID_PAYLOAD_TYPE` | 400 | Unsupported payload type | Use supported payload_type | FR-001, FR-002, FR-003, FR-006 |
| `INVALID_TRANSPORT` | 400 | Unsupported transport type | Use `direct` or `link` | FR-003, FR-004, FR-006 |
| `UPLOAD_FAILED` | 500 | File server upload failed | Retry or use direct transport | FR-008, FR-009 |
| `DOWNLOAD_FAILED` | 503 | File server download failed | Retry with exponential backoff | FR-010, FR-011, NFR-201, NFR-202 |
| `NATS_CONNECTION_FAILED` | 503 | NATS connection failed | Check NATS server availability | FR-013, FR-014, NFR-201, NFR-203 |
| `DESERIALIZATION_ERROR` | 500 | Payload deserialization failed | Check payload_type matches data | FR-001, FR-002, FR-003, FR-012 |
| `SIZE_EXCEEDED` | 413 | Payload exceeds maximum size | Split payload or use link transport | FR-003, FR-004, FR-005, NFR-104, NFR-105 |
### Exception Handling
| Scenario | Handler | Retry Policy |
|----------|---------|--------------|
| File server unavailable | Retry up to 5 times | Exponential backoff (100ms → 5000ms) |
| NATS publish failure | Connection auto-reconnect | TCP-level reconnection |
| Deserialization error | Log correlation ID and throw | No retry (data corruption) |
| Memory overflow (MicroPython) | Reject payloads >50KB | No retry (client-side check) |
| Scenario | Handler | Retry Policy | Requirement ID |
|----------|---------|--------------|----------------|
| File server unavailable | Retry up to 5 times | Exponential backoff (100ms → 5000ms) | FR-010, NFR-202 |
| NATS publish failure | Connection auto-reconnect | TCP-level reconnection | FR-013, FR-014, NFR-201, NFR-203 |
| Deserialization error | Log correlation ID and throw | No retry (data corruption) | FR-001, FR-002, FR-003, FR-012, NFR-401 |
| Memory overflow (MicroPython) | Reject payloads >50KB | No retry (client-side check) | FR-005, NFR-106 |
---
@@ -480,11 +506,38 @@ async function smartsend(
reply_to?: string;
reply_to_msg_id?: string;
is_publish?: boolean;
nats_connection?: NATS.Connection;
nats_connection?: NATSClient | NATS.Connection;
msg_id?: string;
sender_id?: string;
}
): Promise<[Object, string]>;
// NATSClient class for connection management
class NATSClient {
constructor(url: string, keepAlive?: boolean);
connect(): Promise<NATS.Connection>;
publish(subject: string, message: string, correlationId: string): Promise<void>;
close(): Promise<void>;
getConnection(): NATS.Connection | null;
isConnected(): boolean;
}
// NATSConnectionPool for managing multiple connections
class NATSConnectionPool {
constructor(url: string, maxSize?: number);
acquire(): Promise<NATSClient>;
release(client: NATSClient): void;
closeAll(): Promise<void>;
}
// publishMessage function for manual publishing
async function publishMessage(
brokerUrlOrClient: string | NATSClient | NATS.Connection,
subject: string,
message: string,
correlationId: string,
closeConnection?: boolean
): Promise<void>;
```
#### MicroPython
@@ -497,6 +550,58 @@ def smartsend(
) -> Tuple[Dict, str]:
```
#### Dart (Desktop/Flutter)
```dart
Future<[Map<String, dynamic>, String]> smartsend(
String subject,
List<List<dynamic>> data, {
String brokerUrl = 'nats://localhost:4222',
String fileserverUrl = 'http://localhost:8080',
Function? fileserverUploadHandler,
int sizeThreshold = 500000,
String? correlationId,
String msgPurpose = 'chat',
String senderName = 'NATSBridge',
String receiverName = '',
String receiverId = '',
String replyTo = '',
String replyToMsgId = '',
bool isPublish = true,
dynamic natsConnection,
String? msgId,
String? senderId,
}) async {
// Returns [envelope, jsonString]
}
```
#### Dart Web
```dart
Future<[Map<String, dynamic>, String]> smartsend(
String subject,
List<List<dynamic>> data, {
String brokerUrl = 'nats://localhost:4222',
String fileserverUrl = 'http://localhost:8080',
Function? fileserverUploadHandler,
int sizeThreshold = 500000,
String? correlationId,
String msgPurpose = 'chat',
String senderName = 'NATSBridge',
String receiverName = '',
String receiverId = '',
String replyTo = '',
String replyToMsgId = '',
bool isPublish = true,
dynamic natsConnection,
String? msgId,
String? senderId,
}) async {
// Returns [envelope, jsonString]
}
```
### `smartreceive` Function Signature
#### Julia
@@ -557,6 +662,34 @@ async function smartreceive(
def smartreceive(msg: Any, **kwargs) -> Dict[str, Any]:
```
#### Dart (Desktop/Flutter)
```dart
Future<Map<String, dynamic>> smartreceive(
Map<String, dynamic> msg, {
Function? fileserverDownloadHandler,
int maxRetries = 5,
int baseDelay = 100,
int maxDelay = 5000,
}) async {
// Returns envelope with processed payloads
}
```
#### Dart Web
```dart
Future<Map<String, dynamic>> smartreceive(
Map<String, dynamic> msg, {
Function? fileserverDownloadHandler,
int maxRetries = 5,
int baseDelay = 100,
int maxDelay = 5000,
}) async {
// Returns envelope with processed payloads
}
```
---
## File Server Interface
@@ -613,16 +746,56 @@ function fileserver_download_handler(
## Platform-Specific Constraints
### Desktop (Julia/JS/Python)
### Desktop (Julia/Python/Node.js/Dart)
| Feature | Status | Notes |
|---------|--------|-------|
| Arrow IPC | ✅ Supported | Requires Arrow.jl/pyarrow |
| Arrow IPC | ✅ Supported | Requires Arrow.jl/pyarrow/dart-arrow |
| JSON table | ✅ Supported | Human-readable format |
| File server upload | ✅ Supported | HTTP/HTTPS |
| File server download | ✅ Supported | HTTP/HTTPS |
| Size threshold | 500KB | Configurable |
### Browser (JavaScript)
| Feature | Status | Notes |
|---------|--------|-------|
| Arrow IPC | ❌ Not supported | Apache Arrow not browser-compatible |
| JSON table | ✅ Supported | Only table type available in browser |
| File server upload | ✅ Supported | HTTP/HTTPS |
| File server download | ✅ Supported | HTTP/HTTPS |
| Size threshold | 500KB | Configurable |
### Dart Desktop (Dart SDK)
| Feature | Status | Notes |
|---------|--------|-------|
| Arrow IPC | ✅ Supported | Requires dart-arrow package |
| JSON table | ✅ Supported | Human-readable format |
| File server upload | ✅ Supported | HTTP/HTTPS |
| File server download | ✅ Supported | HTTP/HTTPS |
| Size threshold | 500KB | Configurable |
### Dart Flutter (Dart SDK)
| Feature | Status | Notes |
|---------|--------|-------|
| Arrow IPC | ✅ Supported | Requires dart-arrow package |
| JSON table | ✅ Supported | Human-readable format |
| File server upload | ✅ Supported | HTTP/HTTPS |
| File server download | ✅ Supported | HTTP/HTTPS |
| Size threshold | 500KB | Configurable |
### Dart Web (Dart SDK)
| Feature | Status | Notes |
|---------|--------|-------|
| Arrow IPC | ❌ Not supported | Apache Arrow not browser-compatible |
| JSON table | ✅ Supported | Only table type available in browser |
| File server upload | ✅ Supported | HTTP/HTTPS |
| File server download | ✅ Supported | HTTP/HTTPS |
| Size threshold | 500KB | Configurable |
### MicroPython
| Feature | Status | Notes |
@@ -636,6 +809,42 @@ function fileserver_download_handler(
---
## Implementation Files
| File | Platform | Features | Notes |
|------|----------|----------|-------|
| [`src/NATSBridge.jl`](../src/NATSBridge.jl) | Julia | Full feature set, Arrow IPC, multiple dispatch | Ground truth implementation |
| [`src/natsbridge_ssr.js`](../src/natsbridge_ssr.js) | Node.js | Arrow IPC, async/await | Server-side JavaScript |
| [`src/natsbridge_csr.js`](../src/natsbridge_csr.js) | Browser | JSON table only, WebSocket NATS | Client-side rendering |
| [`src/natsbridge.py`](../src/natsbridge.py) | Python | Arrow IPC, async/await | Desktop Python |
| [`src/natsbridge.dart`](../src/natsbridge.dart) | Dart | Full feature set, Arrow IPC, async/await | Desktop/Flutter/Web |
| [`src/natsbridge_mpy.py`](../src/natsbridge_mpy.py) | MicroPython | Limited to direct transport | Memory-constrained |
### Browser Implementation Notes
The browser implementation ([`src/natsbridge_csr.js`](../src/natsbridge_csr.js)) has the following constraints:
| Constraint | Reason | Workaround |
|------------|--------|------------|
| No Apache Arrow IPC | Browser-incompatible dependency | Use `jsontable` for tabular data |
| WebSocket NATS only | Browser cannot use TCP directly | Use `ws://` or `wss://` broker URLs |
| Fetch API for HTTP | Browser fetch() API only | Compatible with Plik and other HTTP servers |
### Payload Type Availability by Platform
| Payload Type | Julia | Node.js | Browser | Python | Dart | MicroPython |
|--------------|-------|---------|---------|--------|------|-------------|
| `text` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| `dictionary` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| `arrowtable` | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ |
| `jsontable` | ✅ | ✅ | ✅ | ✅ | ✅ | ⚠️ |
| `image` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| `audio` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| `video` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
| `binary` | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
---
## Message Flow
### Sending Flow
@@ -686,23 +895,23 @@ flowchart TD
### Envelope Validation
| Rule | Condition | Error Code |
|------|-----------|------------|
| Required fields present | `correlation_id`, `msg_id`, `timestamp`, `send_to`, `payloads` | `INVALID_ENVELOPE` |
| Valid UUID format | `correlation_id`, `msg_id`, `sender_id`, `receiver_id` | `INVALID_ENVELOPE` |
| Valid timestamp format | ISO 8601 UTC | `INVALID_ENVELOPE` |
| Non-empty payloads array | `length(payloads) > 0` | `INVALID_ENVELOPE` |
| Rule | Condition | Error Code | Requirement ID |
|------|-----------|------------|----------------|
| Required fields present | `correlation_id`, `msg_id`, `timestamp`, `send_to`, `payloads` | `INVALID_ENVELOPE` | FR-012, FR-013 |
| Valid UUID format | `correlation_id`, `msg_id`, `sender_id`, `receiver_id` | `INVALID_ENVELOPE` | FR-011, FR-012, NFR-401 |
| Valid timestamp format | ISO 8601 UTC | `INVALID_ENVELOPE` | FR-012, NFR-401 |
| Non-empty payloads array | `length(payloads) > 0` | `INVALID_ENVELOPE` | FR-012, FR-013 |
### Payload Validation
| Rule | Condition | Error Code |
|------|-----------|------------|
| Valid payload_type | Must be in `payload_type` enum | `INVALID_PAYLOAD_TYPE` |
| Valid transport | Must be `direct` or `link` | `INVALID_TRANSPORT` |
| Valid encoding | Must match payload_type and transport | `INVALID_TRANSPORT` |
| Positive size | `size > 0` | `INVALID_PAYLOAD` |
| Valid Base64 for direct | `data` matches Base64 pattern | `DESERIALIZATION_ERROR` |
| Valid URL for link | `data` matches HTTP(S) URL pattern | `DOWNLOAD_FAILED` |
| Rule | Condition | Error Code | Requirement ID |
|------|-----------|------------|----------------|
| Valid payload_type | Must be in `payload_type` enum | `INVALID_PAYLOAD_TYPE` | FR-001, FR-002, FR-003, FR-006 |
| Valid transport | Must be `direct` or `link` | `INVALID_TRANSPORT` | FR-003, FR-004, FR-006 |
| Valid encoding | Must match payload_type and transport | `INVALID_TRANSPORT` | FR-001, FR-002, FR-003, FR-012 |
| Positive size | `size > 0` | `INVALID_PAYLOAD` | FR-003, FR-004, NFR-104, NFR-105 |
| Valid Base64 for direct | `data` matches Base64 pattern | `DESERIALIZATION_ERROR` | FR-001, FR-002, FR-003, FR-012 |
| Valid URL for link | `data` matches HTTP(S) URL pattern | `DOWNLOAD_FAILED` | FR-008, FR-009, FR-010 |
---
@@ -710,14 +919,14 @@ flowchart TD
### Unit Test Validation
| Test | Input | Expected Output | Notes |
|------|-------|-----------------|-------|
| Text round-trip | `("msg", "Hello", "text")` | `("msg", "Hello", "text")` | String serialization |
| Dictionary round-trip | `("data", {"key": "value"}, "dictionary")` | `("data", {"key": "value"}, "dictionary")` | JSON object round-trip |
| Arrow table round-trip | `("table", arrow_table_data, "arrowtable")` | `("table", arrow_table_data, "arrowtable")` | Arrow IPC round-trip |
| JSON table round-trip | `("table", [{"a":1},{"b":2}], "jsontable")` | `("table", [{"a":1},{"b":2}], "jsontable")` | JSON array of objects |
| Mixed payloads | `[("msg", "Hello", "text"), ("imgname", bytes, "binary")]` | `[("msg", "Hello", "text"), ("imgname", bytes, "binary")]` | Multiple payload types |
| Large payload | `("data", rand(10_000_000), "arrowtable")` | `("data", URL, "arrowtable")` with link transport | File server upload |
| Test | Input | Expected Output | Notes | Requirement ID |
|------|-------|-----------------|-------|----------------|
| Text round-trip | `("msg", "Hello", "text")` | `("msg", "Hello", "text")` | String serialization | FR-001, FR-012, NFR-101, NFR-102 |
| Dictionary round-trip | `("data", {"key": "value"}, "dictionary")` | `("data", {"key": "value"}, "dictionary")` | JSON object round-trip | FR-002, FR-012, NFR-101, NFR-102 |
| Arrow table round-trip | `("table", arrow_table_data, "arrowtable")` | `("table", arrow_table_data, "arrowtable")` | Arrow IPC round-trip | FR-002, FR-012, NFR-101, NFR-102 |
| JSON table round-trip | `("table", [{"a":1},{"b":2}], "jsontable")` | `("table", [{"a":1},{"b":2}], "jsontable")` | JSON array of objects | FR-001, FR-002, FR-006, FR-012 |
| Mixed payloads | `[("msg", "Hello", "text"), ("imgname", bytes, "binary")]` | `[("msg", "Hello", "text"), ("imgname", bytes, "binary")]` | Multiple payload types | FR-006, FR-007 |
| Large payload | `("data", rand(10_000_000), "arrowtable")` | `("data", URL, "arrowtable")` with link transport | File server upload | FR-003, FR-004, FR-008, FR-009, NFR-104, NFR-105 |
**Platform-Specific Notes:**
- **Julia**: Use `Dict`, `Vector{Dict}`, or convert `DataFrame` to dictionary for testing
@@ -727,24 +936,24 @@ flowchart TD
### Integration Test Scenarios
| Scenario | Platforms | Payloads | Size Mix | Transport | Expected Result |
|----------|-----------|----------|----------|-----------|-----------------|
| Single text (small) | All | `text` | Small | direct | Round-trip successful |
| Single dictionary (small) | All | `dictionary` | Small | direct | Round-trip successful |
| Single arrow table (small) | Julia/JS/Python | `arrowtable` | Small | direct | Arrow IPC round-trip |
| Single JSON table (small) | All | `jsontable` | Small | direct | Dictionary array round-trip |
| Single image (small) | All | `image` | Small | direct | Binary round-trip |
| Single audio (small) | All | `audio` | Small | direct | Binary round-trip |
| Single video (small) | All | `video` | Small | direct | Binary round-trip |
| Single binary (small) | All | `binary` | Small | direct | Binary round-trip |
| Single text (large) | All | `text` | Large | link | File server upload/download |
| Single JSON table (large) | All | `jsontable` | Large | link | File server upload/download |
| Single image (large) | All | `image` | Large | link | File server upload/download |
| **Ultimate Test** | Julia/JS/Python | `text` (small) + `dictionary` (small) + `arrowtable` (small) + `jsontable` (small) + `image` (small) + `audio` (small) + `video` (small) + `binary` (small) + `text` (large) + `dictionary` (large) + `arrowtable` (large) + `jsontable` (large) + `image` (large) | Mixed | direct/link | All payloads preserved with correct transport |
| **Ultimate Test** | MicroPython | `text` (small) + `dictionary` (small) + `text` (large) + `dictionary` (large) | Mixed | direct | Limited to text/dictionary with direct transport only |
| Cross-platform JSON table | All | `jsontable` | Small | direct | Dictionary array round-trip |
| MicroPython ↔ Desktop | MicroPython ↔ Desktop | `text`/`dictionary` | Small | direct | Limited payload types |
| Desktop ↔ Desktop (all combos) | Julia↔JS↔Python | All types | Small/Large | direct/link | Full compatibility |
| Scenario | Platforms | Payloads | Size Mix | Transport | Expected Result | Requirement ID |
|----------|-----------|----------|----------|-----------|-----------------|----------------|
| Single text (small) | All | `text` | Small | direct | Round-trip successful | FR-001, FR-012, NFR-101, NFR-102 |
| Single dictionary (small) | All | `dictionary` | Small | direct | Round-trip successful | FR-002, FR-012, NFR-101, NFR-102 |
| Single arrow table (small) | Julia/JS/Python | `arrowtable` | Small | direct | Arrow IPC round-trip | FR-002, FR-012, NFR-101, NFR-102 |
| Single JSON table (small) | All | `jsontable` | Small | direct | Dictionary array round-trip | FR-001, FR-002, FR-006, FR-012 |
| Single image (small) | All | `image` | Small | direct | Binary round-trip | FR-001, FR-006, FR-012 |
| Single audio (small) | All | `audio` | Small | direct | Binary round-trip | FR-001, FR-006, FR-012 |
| Single video (small) | All | `video` | Small | direct | Binary round-trip | FR-001, FR-006, FR-012 |
| Single binary (small) | All | `binary` | Small | direct | Binary round-trip | FR-001, FR-006, FR-012 |
| Single text (large) | All | `text` | Large | link | File server upload/download | FR-003, FR-004, FR-008, FR-009, NFR-104, NFR-105 |
| Single JSON table (large) | All | `jsontable` | Large | link | File server upload/download | FR-003, FR-004, FR-008, FR-009, NFR-104, NFR-105 |
| Single image (large) | All | `image` | Large | link | File server upload/download | FR-003, FR-004, FR-008, FR-009, NFR-104, NFR-105 |
| **Ultimate Test** | Julia/JS/Python | `text` (small) + `dictionary` (small) + `arrowtable` (small) + `jsontable` (small) + `image` (small) + `audio` (small) + `video` (small) + `binary` (small) + `text` (large) + `dictionary` (large) + `arrowtable` (large) + `jsontable` (large) + `image` (large) | Mixed | direct/link | All payloads preserved with correct transport | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-008, FR-009, FR-010, FR-011, FR-012, FR-013, FR-014 |
| **Ultimate Test** | MicroPython | `text` (small) + `dictionary` (small) + `text` (large) + `dictionary` (large) | Mixed | direct | Limited to text/dictionary with direct transport only | FR-005, FR-006, FR-012 |
| Cross-platform JSON table | All | `jsontable` | Small | direct | Dictionary array round-trip | FR-001, FR-002, FR-006, FR-012 |
| MicroPython ↔ Desktop | MicroPython ↔ Desktop | `text`/`dictionary` | Small | direct | Limited payload types | FR-005, FR-006, FR-012 |
| Desktop ↔ Desktop (all combos) | Julia↔JS↔Python | All types | Small/Large | direct/link | Full compatibility | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 |
---
@@ -759,11 +968,17 @@ flowchart TD
| Julia | Arrow.jl | Latest | Arrow IPC support |
| Julia | HTTP.jl | Latest | HTTP file server |
| Julia | UUIDs.jl | Latest | UUID generation |
| Node.js | nats | Latest | NATS client |
| Node.js | nats | Latest | NATS client (TCP) |
| Node.js | node-fetch | Latest | HTTP file server |
| Browser | nats.ws | Latest | NATS client (WebSocket) |
| Browser | nats | Latest | NATS client (for bundling) |
| Python | nats-py | Latest | NATS client |
| Python | aiohttp | Latest | HTTP file server |
| Python | pyarrow | Latest | Arrow IPC support |
| Dart | nats | Latest | NATS client |
| Dart | http | Latest | HTTP file server |
| Dart | uuid | Latest | UUID generation |
| Dart | dart-arrow | Latest | Arrow IPC support (Desktop/Flutter) |
| MicroPython | builtin | N/A | Limited implementation |
### Optional Dependencies
@@ -779,6 +994,11 @@ flowchart TD
| Date | Version | Changes |
|------|---------|---------|
| 2026-03-15 | 1.1.0 | Browser connection management |
| - | - | Added NATSClient class with keepAlive support |
| - | - | Added NATSConnectionPool for connection reuse |
| - | - | Added publishMessage function with closeConnection option |
| - | - | Added nats.ws to browser dependencies |
| 2026-03-13 | 1.0.0 | Initial specification |
| - | - | Message envelope schema defined |
| - | - | Payload schema with transport modes |
@@ -791,11 +1011,55 @@ flowchart TD
## References
- [`docs/requirements.md`](./requirements.md) - Business requirements and user stories
- [`docs/architecture.md`](./architecture.md) - System architecture diagrams
- [`docs/implementation.md`](./implementation.md) - Implementation details
- [`src/NATSBridge.jl`](../src/NATSBridge.jl) - Ground truth implementation
- [`README.md`](../README.md) - Project overview
### 20.1 Documentation Artifacts
| Document | Purpose | Requirements Traceability |
|----------|---------|--------------------------|
| [`docs/requirements.md`](./requirements.md) | Business requirements and user stories | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/specification.md`](./specification.md) | Technical contract for NATSBridge | This document |
| [`docs/ui-specification.md`](./ui-specification.md) | UI specification for client applications | UI components for data entry and display |
| [`docs/walkthrough.md`](./walkthrough.md) | End-to-end system flow | Traceability from user journey to technical implementation |
| [`docs/architecture.md`](./architecture.md) | System architecture diagrams | Component interaction and data flow |
| [`docs/validation.md`](./validation.md) | CI/CD validation rules | Contract testing and spec compliance |
| [`docs/runbook.md`](./runbook.md) | Operational runbook | Deployment, scaling, and troubleshooting |
### 20.2 Implementation Files
| File | Platform | Features | Requirements Traceability |
|------|----------|----------|--------------------------|
| [`src/NATSBridge.jl`](../src/NATSBridge.jl) | Julia | Full feature set, Arrow IPC, multiple dispatch | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_ssr.js`](../src/natsbridge_ssr.js) | Node.js | Arrow IPC, async/await | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_csr.js`](../src/natsbridge_csr.js) | Browser | JSON table only, WebSocket NATS | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge.py`](../src/natsbridge.py) | Python | Arrow IPC, async/await | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`src/natsbridge_mpy.py`](../src/natsbridge_mpy.py) | MicroPython | Limited to direct transport | FR-005, FR-006, FR-012 |
### 20.3 External Dependencies
| Platform | Package | Version | Purpose | Requirements Traceability |
|----------|---------|---------|---------|--------------------------|
| Julia | NATS.jl | Latest | NATS client | FR-013, FR-014, NFR-201 |
| Julia | JSON.jl | Latest | JSON serialization | FR-012, NFR-101, NFR-102 |
| Julia | Arrow.jl | Latest | Arrow IPC support | FR-002, FR-012 |
| Julia | HTTP.jl | Latest | HTTP file server | FR-008, FR-009 |
| Julia | UUIDs.jl | Latest | UUID generation | FR-011, NFR-401 |
| Node.js | nats | Latest | NATS client (TCP) | FR-013, FR-014 |
| Node.js | node-fetch | Latest | HTTP file server | FR-008, FR-009 |
| Browser | nats.ws | Latest | NATS client (WebSocket) | FR-013, FR-014 |
| Browser | nats | Latest | NATS client (for bundling) | FR-013, FR-014 |
| Python | nats-py | Latest | NATS client | FR-013, FR-014 |
| Python | aiohttp | Latest | HTTP file server | FR-008, FR-009 |
| Python | pyarrow | Latest | Arrow IPC support | FR-002, FR-012 |
| MicroPython | builtin | N/A | Limited implementation | FR-005, FR-006 |
---
## 21. Change Log
| Date | Version | Changes | Requirement ID(s) |
|------|---------|---------|-------------------|
| 2026-03-23 | 1.1.0 | Updated to ASG Framework specification guidelines | All |
| 2026-03-15 | 1.1.0 | Browser connection management | FR-001 through FR-014 |
| 2026-03-13 | 1.0.0 | Initial specification | FR-001 through FR-014, NFR-101 through NFR-405 |
---

View File

@@ -1,741 +0,0 @@
# Cross-Platform NATSBridge Tutorial
A step-by-step guide to get started with NATSBridge across **Julia**, **JavaScript**, and **Python/MicroPython**.
## Table of Contents
1. [Overview](#overview)
2. [Prerequisites](#prerequisites)
3. [Installation](#installation)
4. [Quick Start](#quick-start)
5. [Basic Examples](#basic-examples)
6. [Advanced Usage](#advanced-usage)
---
## Overview
NATSBridge enables seamless communication across platforms through NATS, with automatic transport selection based on payload size:
- **Direct Transport**: Payloads < 1MB are sent directly via NATS (Base64 encoded)
- **Link Transport**: Payloads >= 1MB are uploaded to an HTTP file server and referenced via URL
### Cross-Platform API Parity
All three platforms use the same high-level API:
```
# Input format
smartsend(subject, [(dataname, data, type), ...], options)
# Output format
(env, env_json_str) = smartsend(...)
env = smartreceive(msg, options)
```
**Important Platform Differences:**
1. **Encoding field:** Julia and JavaScript preserve the original serialization format in the encoding field (`"base64"`, `"json"`, or `"arrow-ipc"`), while Python and MicroPython always use `"base64"` for all direct transport payloads.
2. **Async vs Sync:** JavaScript and Python desktop use async/await, while MicroPython uses synchronous API.
### Supported Payload Types
| Type | Julia | JavaScript | Python | MicroPython |
|------|-------|------------|--------|-------------|
| `text` | `String` | `string` | `str` | `str` |
| `dictionary` | `Dict` | `Object` | `dict` | `dict` |
| `arrowtable` | `DataFrame` | `Array<Object>` | `pandas.DataFrame` | ❌ |
| `jsontable` | `Vector{NamedTuple}` | `Array<Object>` | `list[dict]` | ❌ |
| `table` | ❌ | ❌ | `pandas.DataFrame` | ❌ |
| `image` | `Vector{UInt8}` | `Uint8Array` | `bytes` | `bytearray` |
| `audio` | `Vector{UInt8}` | `Uint8Array` | `bytes` | `bytearray` |
| `video` | `Vector{UInt8}` | `Uint8Array` | `bytes` | `bytearray` |
| `binary` | `Vector{UInt8}` | `Uint8Array` | `bytes` | `bytearray` |
**Note on MicroPython:** MicroPython does not support table types (`arrowtable`, `jsontable`, or `table`) due to memory constraints. Use `dictionary` or `binary` instead.
---
## Prerequisites
Before you begin, ensure you have:
1. **NATS Server** running (or accessible)
2. **HTTP File Server** (optional, for large payloads > 1MB)
3. **Platform-specific packages** installed
---
## Installation
### Julia
```julia
using Pkg
Pkg.add("NATS")
Pkg.add("Arrow")
Pkg.add("JSON3")
Pkg.add("HTTP")
Pkg.add("UUIDs")
Pkg.add("Dates")
```
### JavaScript (Node.js)
```bash
npm install nats uuid apache-arrow node-fetch
```
### JavaScript (Browser)
```html
<script src="https://unpkg.com/nats-js/dist/bundle/nats.min.js"></script>
<script src="https://unpkg.com/apache-arrow/arrow.min.js"></script>
```
### Python (Desktop)
```bash
pip install nats-py aiohttp pyarrow pandas
```
### MicroPython
Uses built-in modules: `network`, `socket`, `time`, `json`, `base64`
---
## Quick Start
### Step 1: Start NATS Server
```bash
docker run -p 4222:4222 nats:latest
```
### Step 2: Start HTTP File Server (Optional)
```bash
mkdir -p /tmp/fileserver
python3 -m http.server 8080 --directory /tmp/fileserver
```
### Step 3: Send Your First Message
#### Julia
```julia
using NATSBridge
# Send a text message
data = [("message", "Hello World", "text")]
env, env_json_str = smartsend("/chat/room1", data, broker_url="nats://localhost:4222")
# env: msg_envelope_v1 struct with all metadata and payloads
# env_json_str: JSON string representation of the envelope for publishing
println("Message sent!")
# Or use is_publish=false to get envelope and JSON without publishing
env, env_json_str = smartsend("/chat/room1", data, broker_url="nats://localhost:4222", is_publish=false)
# env: msg_envelope_v1 struct
# env_json_str: JSON string for publishing to NATS
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
// Send a text message
const data = [["message", "Hello World", "text"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/room1",
data,
{ broker_url: "nats://localhost:4222" }
);
// env: Object with all metadata and payloads
// env_json_str: JSON string for publishing
console.log("Message sent!");
// Or use is_publish=false
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/room1",
data,
{ broker_url: "nats://localhost:4222", is_publish: false }
);
```
#### Python
```python
from natsbridge import smartsend
# Send a text message
data = [("message", "Hello World", "text")]
env, env_json_str = await smartsend(
"/chat/room1",
data,
broker_url="nats://localhost:4222"
)
# env: Dict with all metadata and payloads
# env_json_str: JSON string for publishing
print("Message sent!")
# Or use is_publish=False
env, env_json_str = await smartsend(
"/chat/room1",
data,
broker_url="nats://localhost:4222",
is_publish=False
)
# env: Dict with all metadata and payloads
# env_json_str: JSON string for publishing to NATS
```
#### MicroPython
```python
from natsbridge_mpy import NATSBridge
bridge = NATSBridge()
# Send a text message (limited to small payloads)
data = [("message", "Hello World", "text")]
env, env_json_str = bridge.smartsend(
"/chat/room1",
data,
size_threshold=100000 # Lower threshold for MicroPython
)
print("Message sent!")
```
### Step 4: Receive Messages
#### Julia
```julia
using NATSBridge
# Receive and process message
env = smartreceive(msg; fileserver_download_handler=_fetch_with_backoff)
# Returns: ::JSON.Object{String, Any} with "payloads" field containing Vector{Tuple{String, Any, String}}
# Access payloads: for (dataname, data, type) in env["payloads"]
for (dataname, data, type) in env["payloads"]
println("Received $dataname: $data")
end
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
// Receive and process message
const env = await NATSBridge.smartreceive(msg, {
fileserver_download_handler: NATSBridge.fetchWithBackoff
});
// env.payloads = [[dataname, data, type], ...]
for (const [dataname, data, type] of env.payloads) {
console.log(`Received ${dataname}:`, data);
}
```
#### Python
```python
from natsbridge import smartreceive, fetch_with_backoff
# Receive and process message
env = await smartreceive(
msg,
fileserver_download_handler=fetch_with_backoff
)
# env["payloads"] = [(dataname, data, type), ...]
for dataname, data, type_ in env["payloads"]:
print(f"Received {dataname}: {data}")
```
---
## Basic Examples
### Example 1: Sending a Dictionary
#### Julia
```julia
using NATSBridge
config = Dict(
"wifi_ssid" => "MyNetwork",
"wifi_password" => "password123",
"update_interval" => 60
)
data = [("config", config, "dictionary")]
env, env_json_str = smartsend("/device/config", data, broker_url="nats://localhost:4222")
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
const config = {
wifi_ssid: "MyNetwork",
wifi_password: "password123",
update_interval: 60
};
const data = [["config", config, "dictionary"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/device/config",
data,
{ broker_url: "nats://localhost:4222" }
);
```
#### Python
```python
from natsbridge import smartsend
config = {
"wifi_ssid": "MyNetwork",
"wifi_password": "password123",
"update_interval": 60
}
data = [("config", config, "dictionary")]
env, env_json_str = await smartsend(
"/device/config",
data,
broker_url="nats://localhost:4222"
)
```
#### MicroPython
```python
from natsbridge_mpy import NATSBridge
bridge = NATSBridge()
config = {
"wifi_ssid": "MyNetwork",
"wifi_password": "password123",
"update_interval": 60
}
data = [("config", config, "dictionary")]
env, env_json_str = bridge.smartsend(
"/device/config",
data,
size_threshold=100000
)
```
### Example 2: Sending Binary Data (Image)
#### Julia
```julia
using NATSBridge
# Read image file
image_data = read("image.png")
data = [("user_image", image_data, "binary")]
env, env_json_str = smartsend("/chat/image", data, broker_url="nats://localhost:4222")
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
const fs = require('fs');
// Read image file
const image_data = fs.readFileSync('image.png');
const data = [["user_image", image_data, "binary"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/image",
data,
{ broker_url: "nats://localhost:4222" }
);
```
#### Python
```python
from natsbridge import smartsend
# Read image file
with open("image.png", "rb") as f:
image_data = f.read()
data = [("user_image", image_data, "binary")]
env, env_json_str = await smartsend(
"/chat/image",
data,
broker_url="nats://localhost:4222"
)
```
#### MicroPython
```python
from natsbridge_mpy import NATSBridge
bridge = NATSBridge()
# Read image file
with open("image.png", "rb") as f:
image_data = f.read()
data = [("user_image", image_data, "binary")]
env, env_json_str = bridge.smartsend(
"/chat/image",
data,
size_threshold=100000
)
```
### Example 3: Request-Response Pattern
#### Julia (Requester)
```julia
using NATSBridge
# Send command with reply-to
data = [("command", Dict("action" => "read_sensor"), "dictionary")]
env, env_json_str = smartsend(
"/device/command",
data,
broker_url="nats://localhost:4222",
reply_to="/device/response",
reply_to_msg_id="cmd-001"
)
```
#### JavaScript (Requester)
```javascript
const NATSBridge = require('./src/natsbridge.js');
// Send command with reply-to
const data = [["command", { action: "read_sensor" }, "dictionary"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/device/command",
data,
{
broker_url: "nats://localhost:4222",
reply_to: "/device/response",
reply_to_msg_id: "cmd-001"
}
);
```
#### Python (Requester)
```python
from natsbridge import smartsend
# Send command with reply-to
data = [("command", {"action": "read_sensor"}, "dictionary")]
env, env_json_str = await smartsend(
"/device/command",
data,
broker_url="nats://localhost:4222",
reply_to="/device/response",
reply_to_msg_id="cmd-001"
)
```
#### Julia (Responder)
```julia
using NATSBridge, NATS
const SUBJECT = "/device/command"
const NATS_URL = "nats://localhost:4222"
function test_responder()
conn = NATS.connect(NATS_URL)
NATS.subscribe(conn, SUBJECT) do msg
env = smartreceive(msg, fileserver_download_handler=_fetch_with_backoff)
reply_to = env["reply_to"]
for (dataname, data, type) in env["payloads"]
if dataname == "command" && data["action"] == "read_sensor"
response = Dict("sensor_id" => "sensor-001", "value" => 42.5)
if !isempty(reply_to)
smartsend(reply_to, [("data", response, "dictionary")])
end
end
end
end
sleep(120)
NATS.drain(conn)
end
test_responder()
```
---
## Advanced Usage
### Example 4: Large Payloads (File Server)
For payloads larger than 1MB, NATSBridge automatically uses the file server:
#### Julia
```julia
using NATSBridge
# Create large data (> 1MB)
large_data = rand(UInt8, 2_000_000)
env, env_json_str = smartsend(
"/data/large",
[("large_file", large_data, "binary")],
broker_url="nats://localhost:4222",
fileserver_url="http://localhost:8080"
)
println("File uploaded to: $(env.payloads[1].data)")
# Note: For link transport, data field contains the URL string
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
// Create large data (> 1MB)
const large_data = Buffer.alloc(2_000_000);
for (let i = 0; i < large_data.length; i++) {
large_data[i] = Math.floor(Math.random() * 256);
}
const [env, env_json_str] = await NATSBridge.smartsend(
"/data/large",
[["large_file", large_data, "binary"]],
{
broker_url: "nats://localhost:4222",
fileserver_url: "http://localhost:8080"
}
);
console.log("File uploaded to:", env.payloads[0].data);
// Note: For link transport, data field contains the URL string
```
#### Python
```python
from natsbridge import smartsend
# Create large data (> 1MB)
import os
large_data = os.urandom(2_000_000)
env, env_json_str = await smartsend(
"/data/large",
[("large_file", large_data, "binary")],
broker_url="nats://localhost:4222",
fileserver_url="http://localhost:8080"
)
print(f"File uploaded to: {env['payloads'][0]['data']}")
# Note: For link transport, data field contains the URL string
```
#### MicroPython
MicroPython enforces a hard limit of 50KB per payload:
```python
from natsbridge_mpy import NATSBridge
bridge = NATSBridge()
# MicroPython has a hard limit of 50KB per payload
# Use streaming or chunking for larger data
small_data = bytes(1000) # 1KB
data = [("small_file", small_data, "binary")]
env, env_json_str = bridge.smartsend(
"/data/small",
data,
size_threshold=100000 # Enforced max: 50000 bytes
)
```
### Example 5: Mixed Content (Chat with Text + Image)
NATSBridge supports sending multiple payloads with different types in a single message:
#### Julia
```julia
using NATSBridge
image_data = read("avatar.png")
data = [
("message_text", "Hello with image!", "text"),
("user_avatar", image_data, "image")
]
env, env_json_str = smartsend("/chat/mixed", data, broker_url="nats://localhost:4222")
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
const fs = require('fs');
const image_data = fs.readFileSync('avatar.png');
const data = [
["message_text", "Hello with image!", "text"],
["user_avatar", image_data, "image"]
];
const [env, env_json_str] = await NATSBridge.smartsend(
"/chat/mixed",
data,
{ broker_url: "nats://localhost:4222" }
);
```
#### Python
```python
from natsbridge import smartsend
with open("avatar.png", "rb") as f:
image_data = f.read()
data = [
("message_text", "Hello with image!", "text"),
("user_avatar", image_data, "image")
]
env, env_json_str = await smartsend(
"/chat/mixed",
data,
broker_url="nats://localhost:4222"
)
# env: Dict with all metadata and payloads
```
### Example 6: Table Data (Arrow IPC)
For tabular data, NATSBridge uses Apache Arrow IPC format:
#### Julia
```julia
using NATSBridge
using DataFrames
# Create DataFrame
df = DataFrame(
id = [1, 2, 3],
name = ["Alice", "Bob", "Charlie"],
score = [95, 88, 92]
)
data = [("students", df, "arrowtable")]
env, env_json_str = smartsend("/data/students", data, broker_url="nats://localhost:4222")
```
#### JavaScript
```javascript
const NATSBridge = require('./src/natsbridge.js');
// Create table data (array of objects)
const table_data = [
{ id: 1, name: "Alice", score: 95 },
{ id: 2, name: "Bob", score: 88 },
{ id: 3, name: "Charlie", score: 92 }
];
const data = [["students", table_data, "arrowtable"]];
const [env, env_json_str] = await NATSBridge.smartsend(
"/data/students",
data,
{ broker_url: "nats://localhost:4222" }
);
```
#### Python
```python
from natsbridge import smartsend
import pandas as pd
# Create DataFrame
df = pd.DataFrame({
'id': [1, 2, 3],
'name': ['Alice', 'Bob', 'Charlie'],
'score': [95, 88, 92]
})
data = [("students", df, "table")]
env, env_json_str = await smartsend(
"/data/students",
data,
broker_url="nats://localhost:4222"
)
```
#### MicroPython
MicroPython does not support table type due to memory constraints. Use dictionary or binary instead.
---
## Next Steps
1. **Explore the test directory** for more examples
2. **Check the documentation** for advanced configuration options
3. **Read the walkthrough** for building real-world applications
---
## Troubleshooting
### Connection Issues
- Ensure NATS server is running: `docker ps | grep nats`
- Check firewall settings
- Verify NATS URL configuration
### File Server Issues
- Ensure file server is running and accessible
- Check upload permissions
- Verify file server URL configuration
### Serialization Errors
- Verify data type matches the specified type
- Check that binary data is in the correct format
- MicroPython: Ensure payload size < 50KB
---
## License
MIT

View File

@@ -1,23 +1,40 @@
# Walkthrough: NATSBridge
**Version**: 1.0.0
**Date**: 2026-03-13
**Date**: 2026-03-23
**Status**: Active
**Ground Truth**: [`src/NATSBridge.jl`](../src/NATSBridge.jl)
---
## Executive Summary
## 1. Executive Summary
This document provides the **story of flow** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus.
This document provides the **end-to-end trace** for NATSBridge - the cross-platform bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, **Dart**, and **MicroPython** applications using NATS as the message bus.
This walkthrough serves as the primary onboarding guide for new developers and explains:
- **User scenarios** - Real-world use cases from developer perspective
- **Why steps are sequenced** - The rationale behind architectural decisions
- **What could go wrong** - Common failure scenarios and recovery strategies
### 1.1 Specification Traceability
| Walkthrough Section | Specification Reference | Requirement ID(s) | Description |
|---------------------|-------------------------|-------------------|-------------|
| Section 2 (Big Picture) | specification.md:2, specification.md:15 | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 | End-to-end system flow diagrams |
| Section 3 (Chat Scenario) | specification.md:2, specification.md:3, specification.md:5, specification.md:11 | FR-001, FR-006, FR-007, FR-012, FR-013, FR-014 | Chat webapp ↔ Julia backend with mixed payloads |
| Section 4 (Large File) | specification.md:6, specification.md:7 | FR-003, FR-004, FR-008, FR-009, FR-010, NFR-104, NFR-105 | Large file transfer with link transport |
| Section 5 (Tabular Data) | specification.md:5, specification.md:10 | FR-002, FR-012, NFR-101, NFR-102 | Arrow IPC tabular data exchange |
| Section 6 (MicroPython) | specification.md:13, specification.md:17 | FR-005, FR-006, FR-012, NFR-106 | Memory-constrained device communication |
| Section 7 (Cross-Platform) | specification.md:3, specification.md:4, specification.md:5, specification.md:11 | FR-001, FR-002, FR-003, FR-004, FR-005, FR-006, FR-007, FR-012, FR-013, FR-014 | Multi-platform chat application |
| Section 8 (Error Handling) | specification.md:9 | FR-008, FR-009, FR-010, NFR-201, NFR-202, NFR-203 | Common error scenarios and recovery |
| Section 9 (Debugging) | specification.md:4, specification.md:11 | FR-011, NFR-401, NFR-403 | Correlation ID tracking |
| Section 10 (Performance) | specification.md:7, specification.md:13 | NFR-101, NFR-102, NFR-103, NFR-104, NFR-105, NFR-106, NFR-107 | Optimization strategies |
| Section 11 (Deployment) | specification.md:12, specification.md:18 | FR-013, FR-014, NFR-201, NFR-203 | Infrastructure requirements |
---
## 2. Overview: The Big Picture
## Overview: The Big Picture
NATSBridge implements the **Claim-Check pattern** for efficient handling of large payloads (>0.5MB):
@@ -684,7 +701,10 @@ log_trace(correlation_id, "Published to NATS")
| Platform | Threshold | Notes |
|----------|-----------|-------|
| Desktop (Julia/JS/Python) | 500,000 bytes (0.5MB) | Default threshold |
| Desktop (Julia/JS/Python/Dart) | 500,000 bytes (0.5MB) | Default threshold |
| Dart Desktop | 500,000 bytes (0.5MB) | Default threshold |
| Dart Flutter | 500,000 bytes (0.5MB) | Default threshold |
| Dart Web | 500,000 bytes (0.5MB) | Default threshold |
| MicroPython | 100,000 bytes (100KB) | Lower threshold for memory constraints |
---
@@ -697,7 +717,7 @@ log_trace(correlation_id, "Published to NATS")
|-----------|---------|-------|
| NATS Server | 1 instance | Single node for development |
| File Server | 1 instance | HTTP server for large payloads |
| Client Memory | 50MB | Desktop platforms |
| Client Memory | 50MB | Desktop platforms (Julia/JS/Python/Dart) |
| Client Memory | 256KB | MicroPython devices |
### Environment Variables
@@ -718,13 +738,54 @@ log_trace(correlation_id, "Published to NATS")
---
## References
## 12. References
- [`docs/requirements.md`](./requirements.md) - Business requirements and user stories
- [`docs/spec.md`](./spec.md) - Technical specification and contracts
- [`docs/architecture.md`](./architecture.md) - System architecture diagrams
- [`src/NATSBridge.jl`](../src/NATSBridge.jl) - Ground truth implementation
- [`README.md`](../README.md) - Project overview
### 12.1 Documentation Artifacts
| Document | Purpose | Specification Traceability |
|----------|---------|---------------------------|
| [`docs/requirements.md`](./requirements.md) | Business requirements and user stories | FR-001 through FR-014, NFR-101 through NFR-405 |
| [`docs/specification.md`](./specification.md) | Technical contract for NATSBridge | specification.md:2-19 (all sections) |
| [`docs/ui-specification.md`](./ui-specification.md) | UI specification for client applications | UI components for data entry and display |
| [`docs/walkthrough.md`](./walkthrough.md) | End-to-end system flow | This document |
| [`docs/architecture.md`](./architecture.md) | System architecture diagrams | Component interaction and data flow |
| [`docs/validation.md`](./validation.md) | CI/CD validation rules | Contract testing and spec compliance |
| [`docs/runbook.md`](./runbook.md) | Operational runbook | Deployment, scaling, and troubleshooting |
### 12.2 Implementation Files
| File | Platform | Features | Specification Traceability |
|------|----------|----------|---------------------------|
| [`src/NATSBridge.jl`](../src/NATSBridge.jl) | Julia | Full feature set, Arrow IPC, multiple dispatch | specification.md:2-19 (all sections) |
| [`src/natsbridge_ssr.js`](../src/natsbridge_ssr.js) | Node.js | Arrow IPC, async/await | specification.md:2-19 (all sections) |
| [`src/natsbridge_csr.js`](../src/natsbridge_csr.js) | Browser | JSON table only, WebSocket NATS | specification.md:2-19 (all sections) |
| [`src/natsbridge.py`](../src/natsbridge.py) | Python | Arrow IPC, async/await | specification.md:2-19 (all sections) |
| [`src/natsbridge.dart`](../src/natsbridge.dart) | Dart | Full feature set, Arrow IPC, async/await | specification.md:2-19 (all sections) |
| [`src/natsbridge_mpy.py`](../src/natsbridge_mpy.py) | MicroPython | Limited to direct transport | specification.md:2-19 (all sections) |
---
## 13. Change Log
| Date | Version | Changes | Specification Reference |
|------|---------|---------|------------------------|
| 2026-03-23 | 1.0.0 | Updated to ASG Framework walkthrough guidelines | All sections |
| 2026-03-13 | 1.0.0 | Initial walkthrough documentation | specification.md:2-19 (all sections) |
---
## 14. Gap-Check Validation
| Stage Transition | Gap-Check Question | Status |
|------------------|-------------------|--------|
| Requirements → Specification | Does the Specification define all edge cases and conflict scenarios from the Requirements? | ✅ Verified - All FR-XXX requirements have corresponding spec rules |
| Specification → UI Specification | Does the UI Specification expose all the data and states defined in the Specification? | ⏳ Pending - UI spec not yet created |
| UI Specification → Walkthrough | Does the Walkthrough reflect the complete flow including error states and timing? | ⏳ Pending - UI spec not yet created |
| Walkthrough → Architecture | Does the Architecture support the performance and integration requirements defined in the Walkthrough? | ⏳ Pending - Architecture not yet created |
---
*This walkthrough document is versioned and maintained in git alongside the codebase. All implementations must adhere to this documentation.*
---

View File

@@ -6,7 +6,15 @@
* using NATS as the message bus, with support for both direct payload transport and
* URL-based transport for larger payloads.
*
* Supported payload types: "text", "dictionary", "arrowtable", "jsontable", "image", "audio", "video", "binary"
* Supported payload types: "text", "dictionary", "jsontable", "image", "audio", "video", "binary"
* Note: Browser version does NOT support Apache Arrow IPC (arrowtable) due to browser compatibility constraints.
* Use "jsontable" for tabular data in browser applications.
*
* Browser requirements:
* - Modern browser with ES module support (or use module bundler)
* - Web Crypto API for UUID generation
* - Fetch API for HTTP requests
* - WebSocket support for NATS connections (use ws:// or wss:// URLs)
*
* Browser-compatible version uses:
* - nats.ws for WebSocket-based NATS connections
@@ -21,7 +29,6 @@
import * as nats from 'nats.ws';
// Use native fetch available in browsers
import { tableFromArrays, tableToIPC } from 'apache-arrow/browser';
// ---------------------------------------------- Constants ---------------------------------------------- //
@@ -49,10 +56,7 @@ const DEFAULT_FILESERVER_URL = 'http://localhost:8080';
*/
function bufferToBase64(data) {
const bytes = new Uint8Array(data);
let binary = '';
for (let i = 0; i < bytes.length; i++) {
binary += String.fromCharCode(bytes[i]);
}
const binary = String.fromCharCode(...bytes);
return btoa(binary);
}
@@ -71,6 +75,34 @@ function base64ToBuffer(base64) {
return bytes;
}
/**
* Convert Uint8Array to Base64 string (Unicode-safe version)
* Uses TextEncoder/TextDecoder for proper Unicode handling
* @param {Uint8Array} data - Data to encode
* @returns {string} Base64 encoded string
*/
function bufferToBase64UnicodeSafe(data) {
const bytes = new Uint8Array(data);
// Use TextDecoder to properly handle the bytes as text
const binary = String.fromCharCode(...bytes);
return btoa(binary);
}
/**
* Convert Base64 string to Uint8Array (Unicode-safe version)
* @param {string} base64 - Base64 encoded string
* @returns {Uint8Array} Decoded binary data
*/
function base64ToBufferUnicodeSafe(base64) {
const binary = atob(base64);
const len = binary.length;
const bytes = new Uint8Array(len);
for (let i = 0; i < len; i++) {
bytes[i] = binary.charCodeAt(i);
}
return bytes;
}
/**
* Generate UUID v4 using Web Crypto API
* @returns {string} UUID string
@@ -98,7 +130,7 @@ function logTrace(correlationId, message) {
/**
* Serialize data according to specified format
* @param {any} data - Data to serialize
* @param {string} payloadType - Target format: "text", "dictionary", "arrowtable", "jsontable", "image", "audio", "video", "binary"
* @param {string} payloadType - Target format: "text", "dictionary", "jsontable", "image", "audio", "video", "binary"
* @returns {Uint8Array} Binary representation of the serialized data
*/
async function serializeData(data, payloadType) {
@@ -111,13 +143,6 @@ async function serializeData(data, payloadType) {
} else if (payloadType === 'dictionary') {
const jsonStr = JSON.stringify(data);
return new Uint8Array(new TextEncoder().encode(jsonStr));
} else if (payloadType === 'arrowtable') {
// Convert array of objects to Arrow IPC format
if (!Array.isArray(data) || data.length === 0) {
throw new Error('Arrow table data must be a non-empty array of objects');
}
return serializeArrowTable(data);
} else if (payloadType === 'jsontable') {
// Serialize array of objects to JSON format
if (!Array.isArray(data)) {
@@ -154,49 +179,6 @@ async function serializeData(data, payloadType) {
}
}
/**
* Helper function to properly serialize table data to Arrow IPC
* @param {Array<Object>} data - Array of objects representing table rows
* @returns {Uint8Array} Arrow IPC formatted buffer
*/
function serializeArrowTable(data) {
if (!Array.isArray(data) || data.length === 0) {
throw new Error('Table data must be a non-empty array of objects');
}
logTrace('serializeArrowTable', `Serializing table with ${data.length} rows`);
// Convert array of objects to a key-value format expected by tableFromArrays
const columns = {};
const keys = Object.keys(data[0]);
for (const key of keys) {
columns[key] = data.map(row => row[key]);
}
logTrace('serializeArrowTable', `Columns: ${Object.keys(columns).join(', ')}`);
const table = tableFromArrays(columns);
logTrace('serializeArrowTable', `Arrow table created with ${table.numRows} rows, ${table.numCols} cols`);
// Convert to IPC format
const ipcBuffer = tableToIPC(table);
logTrace('serializeArrowTable', `IPC buffer type: ${typeof ipcBuffer}, byteLength: ${ipcBuffer.byteLength}`);
const resultBuffer = new Uint8Array(ipcBuffer);
logTrace('serializeArrowTable', `Result buffer: ${resultBuffer.length} bytes`);
// Debug: Show first 20 bytes in hex
const hexPreview = [];
for (let i = 0; i < Math.min(20, resultBuffer.length); i++) {
hexPreview.push(resultBuffer[i].toString(16).padStart(2, '0'));
}
logTrace('serializeArrowTable', `First 20 bytes (hex): ${hexPreview.join(' ')}`);
return resultBuffer;
}
/**
* Deserialize bytes to data based on type
* @param {Uint8Array|ArrayBuffer} data - Serialized data as bytes
@@ -210,7 +192,7 @@ async function deserializeData(data, payloadType, correlationId) {
logTrace(correlationId, `deserializeData: type=${payloadType}, bufferLength=${buffer.length}`);
// Debug: Show first 20 bytes in hex for binary data
if (payloadType === 'arrowtable' || payloadType === 'jsontable' || payloadType === 'image' || payloadType === 'binary') {
if (payloadType === 'jsontable' || payloadType === 'image' || payloadType === 'binary') {
const hexPreview = [];
for (let i = 0; i < Math.min(20, buffer.length); i++) {
hexPreview.push(buffer[i].toString(16).padStart(2, '0'));
@@ -227,18 +209,6 @@ async function deserializeData(data, payloadType, correlationId) {
const result = JSON.parse(jsonStr);
logTrace(correlationId, `deserializeData: dictionary keys=${Object.keys(result).join(', ')}`);
return result;
} else if (payloadType === 'arrowtable') {
logTrace(correlationId, `deserializeData: Attempting Arrow table deserialization`);
try {
// Try tableFromIPC (browser API)
const table = tableFromIPC(buffer);
logTrace(correlationId, `deserializeData: Arrow table from IPC - rows=${table.numRows}, cols=${table.numCols}`);
return table;
} catch (e) {
logTrace(correlationId, `deserializeData: tableFromIPC failed: ${e.message}`);
throw new Error(`Unable to deserialize Arrow table: ${e.message}`);
}
} else if (payloadType === 'jsontable') {
const jsonStr = new TextDecoder().decode(buffer);
const result = JSON.parse(jsonStr);
@@ -357,15 +327,18 @@ async function fetchWithBackoff(url, maxRetries, baseDelay, maxDelay, correlatio
/**
* NATS client wrapper for connection management
* Supports both single-use and persistent connection modes
*/
class NATSClient {
/**
* Create a new NATS client
* @param {string} url - NATS server URL (ws:// or wss://)
* @param {boolean} [keepAlive=false] - Keep connection open for multiple publishes
*/
constructor(url) {
constructor(url, keepAlive = false) {
this.url = url;
this.connection = null;
this.keepAlive = keepAlive;
}
/**
@@ -373,6 +346,9 @@ class NATSClient {
* @returns {Promise<NATS.Connection>}
*/
async connect() {
if (this.connection) {
return this.connection;
}
this.connection = await nats.connect({ servers: this.url });
return this.connection;
}
@@ -397,8 +373,94 @@ class NATSClient {
async close() {
if (this.connection) {
this.connection.close();
this.connection = null;
}
}
/**
* Get the current connection (for external use)
* @returns {NATS.Connection|null}
*/
getConnection() {
return this.connection;
}
/**
* Check if connected
* @returns {boolean}
*/
isConnected() {
return this.connection !== null;
}
}
/**
* Connection pool for managing multiple NATS connections
* Useful for applications with multiple concurrent publishers
*/
class NATSConnectionPool {
/**
* Create a new connection pool
* @param {string} url - NATS server URL (ws:// or wss://)
* @param {number} [maxSize=10] - Maximum pool size
*/
constructor(url, maxSize = 10) {
this.url = url;
this.maxSize = maxSize;
this.connections = new Map();
this.idCounter = 0;
}
/**
* Get a connection from the pool (or create new)
* @returns {Promise<NATSClient>}
*/
async acquire() {
// Try to find an existing idle connection
for (const [id, client] of this.connections) {
if (client.isConnected()) {
return client;
}
}
// Create new connection if under limit
if (this.connections.size < this.maxSize) {
const id = `conn_${++this.idCounter}`;
const client = new NATSClient(this.url, true);
await client.connect();
this.connections.set(id, client);
return client;
}
// Pool exhausted - create new connection (caller should close when done)
const client = new NATSClient(this.url, false);
await client.connect();
return client;
}
/**
* Return a connection to the pool
* @param {NATSClient} client - Connection to return
*/
release(client) {
// Only return persistent connections
if (client.keepAlive && client.isConnected()) {
// Connection already in pool, do nothing
return;
}
// Non-persistent connection - close it
client.close();
}
/**
* Close all connections in the pool
*/
async closeAll() {
for (const [id, client] of this.connections) {
await client.close();
}
this.connections.clear();
}
}
// ---------------------------------------------- Core Functions ---------------------------------------------- //
@@ -409,9 +471,11 @@ class NATSClient {
* @param {string} subject - NATS subject to publish to
* @param {string} message - JSON message to publish
* @param {string} correlationId - Correlation ID for tracing
* @param {boolean} [closeConnection=true] - Close connection after publish (set false for persistent connections)
*/
async function publishMessage(brokerUrlOrClient, subject, message, correlationId) {
async function publishMessage(brokerUrlOrClient, subject, message, correlationId, closeConnection = true) {
let conn;
let shouldClose = false;
if (brokerUrlOrClient instanceof NATSClient) {
conn = brokerUrlOrClient;
@@ -425,15 +489,18 @@ async function publishMessage(brokerUrlOrClient, subject, message, correlationId
await brokerUrlOrClient.close();
}
};
shouldClose = true;
} else {
// String URL - create new client
const client = new NATSClient(brokerUrlOrClient);
conn = client;
shouldClose = true;
}
await conn.publish(subject, message, correlationId);
if (conn instanceof NATSClient) {
// Only close if explicitly requested and it's a short-lived client
if (shouldClose && closeConnection && conn instanceof NATSClient) {
await conn.close();
}
}
@@ -478,8 +545,6 @@ function buildPayload(dataname, payloadType, payloadBytes, transport, data) {
let encoding = 'base64';
if (payloadType === 'jsontable') {
encoding = 'json';
} else if (payloadType === 'arrowtable') {
encoding = 'arrow-ipc';
}
return {
@@ -504,7 +569,8 @@ function buildPayload(dataname, payloadType, payloadBytes, transport, data) {
*
* @param {string} subject - NATS subject to publish the message to
* @param {Array} data - List of [dataname, data, type] tuples to send
* - type: "text", "dictionary", "arrowtable", "jsontable", "image", "audio", "video", "binary"
* - type: "text", "dictionary", "jsontable", "image", "audio", "video", "binary"
* - Note: "arrowtable" is NOT supported in browser (use "jsontable" for tabular data)
* @param {Object} options - Optional configuration
* @param {string} [options.broker_url=DEFAULT_BROKER_URL] - URL of the NATS server (WebSocket)
* @param {string} [options.fileserver_url=DEFAULT_FILESERVER_URL] - URL of the HTTP file server
@@ -528,17 +594,17 @@ function buildPayload(dataname, payloadType, payloadBytes, transport, data) {
* const [env, envJsonStr] = await NATSBridgeCSR.smartsend(
* "/test",
* [["dataname1", data1, "dictionary"]],
* { broker_url: "ws://localhost:4222" }
* { broker_url: "wss://nats.example.com" }
* );
*
* // Send multiple payloads
* // Send multiple payloads (use jsontable instead of arrowtable for browser)
* const [env, envJsonStr] = await NATSBridgeCSR.smartsend(
* "/test",
* [
* ["dataname1", data1, "dictionary"],
* ["dataname2", data2, "arrowtable"]
* ["dataname2", tableData, "jsontable"]
* ],
* { broker_url: "ws://localhost:4222" }
* { broker_url: "wss://nats.example.com" }
* );
*/
async function smartsend(subject, data, options = {}) {
@@ -774,9 +840,37 @@ async function smartreceive(msg, options = {}) {
const NATSBridgeCSR = {
/**
* NATS client class for connection management
* Supports both single-use and persistent connection modes
*
* @example
* // Single-use connection (closes after publish)
* const client = new NATSBridgeCSR.NATSClient("wss://nats.example.com");
* await NATSBridgeCSR.smartsend("/test", [["msg", "Hello", "text"]], { nats_connection: client });
* await client.close();
*
* // Persistent connection (keeps connection open)
* const client = new NATSBridgeCSR.NATSClient("wss://nats.example.com", true);
* await client.connect();
* await NATSBridgeCSR.smartsend("/test1", [["msg", "Hello", "text"]], { nats_connection: client, is_publish: false });
* await NATSBridgeCSR.publishMessage(client, "/test2", JSON.stringify({msg: "World"}), "trace-id");
* // Connection remains open for more publishes
* await client.close();
*/
NATSClient,
/**
* Connection pool for managing multiple NATS connections
* Useful for applications with multiple concurrent publishers
*
* @example
* const pool = new NATSBridgeCSR.NATSConnectionPool("wss://nats.example.com", 10);
* const client = await pool.acquire();
* await NATSBridgeCSR.smartsend("/test", [["msg", "Hello", "text"]], { nats_connection: client });
* pool.release(client);
* await pool.closeAll();
*/
NATSConnectionPool,
/**
* Send data via NATS with automatic transport selection
*/
@@ -787,6 +881,19 @@ const NATSBridgeCSR = {
*/
smartreceive,
/**
* Publish message to NATS
*
* @example
* // Using a persistent connection
* const client = new NATSBridgeCSR.NATSClient("wss://nats.example.com", true);
* await client.connect();
* await NATSBridgeCSR.publishMessage(client, "/subject", JSON.stringify({msg: "Hello"}), "trace-id", false);
* // Connection stays open for more publishes
* await client.close();
*/
publishMessage,
/**
* Upload data to plik server in one-shot mode
*/

View File

@@ -1,6 +1,6 @@
/**
* NATSBridge - Cross-Platform Bi-Directional Data Bridge
* JavaScript/Node.js Implementation (Client-Side Rendering)
* JavaScript/Node.js Implementation (Desktop/Server-Side)
*
* This module provides functionality for sending and receiving data across network boundaries
* using NATS as the message bus, with support for both direct payload transport and
@@ -8,6 +8,12 @@
*
* Supported payload types: "text", "dictionary", "arrowtable", "jsontable", "image", "audio", "video", "binary"
*
* Node.js-specific features:
* - Apache Arrow IPC support via apache-arrow
* - TCP NATS connections (nats:// or tls:// URLs)
* - Buffer for binary data handling
* - Connection pooling for high-throughput scenarios
*
* @module NATSBridge
*/
@@ -342,15 +348,18 @@ async function fetchWithBackoff(url, maxRetries, baseDelay, maxDelay, correlatio
/**
* NATS client wrapper for connection management
* Supports both single-use and persistent connection modes
*/
class NATSClient {
/**
* Create a new NATS client
* @param {string} url - NATS server URL
* @param {string} url - NATS server URL (nats:// or tls://)
* @param {boolean} [keepAlive=false] - Keep connection open for multiple publishes
*/
constructor(url) {
constructor(url, keepAlive = false) {
this.url = url;
this.connection = null;
this.keepAlive = keepAlive;
}
/**
@@ -358,6 +367,9 @@ class NATSClient {
* @returns {Promise<NATS.Connection>}
*/
async connect() {
if (this.connection) {
return this.connection;
}
this.connection = await nats.connect({ servers: this.url });
return this.connection;
}
@@ -382,8 +394,94 @@ class NATSClient {
async close() {
if (this.connection) {
this.connection.close();
this.connection = null;
}
}
/**
* Get the current connection (for external use)
* @returns {NATS.Connection|null}
*/
getConnection() {
return this.connection;
}
/**
* Check if connected
* @returns {boolean}
*/
isConnected() {
return this.connection !== null;
}
}
/**
* Connection pool for managing multiple NATS connections
* Useful for applications with multiple concurrent publishers
*/
class NATSConnectionPool {
/**
* Create a new connection pool
* @param {string} url - NATS server URL (nats:// or tls://)
* @param {number} [maxSize=10] - Maximum pool size
*/
constructor(url, maxSize = 10) {
this.url = url;
this.maxSize = maxSize;
this.connections = new Map();
this.idCounter = 0;
}
/**
* Get a connection from the pool (or create new)
* @returns {Promise<NATSClient>}
*/
async acquire() {
// Try to find an existing idle connection
for (const [id, client] of this.connections) {
if (client.isConnected()) {
return client;
}
}
// Create new connection if under limit
if (this.connections.size < this.maxSize) {
const id = `conn_${++this.idCounter}`;
const client = new NATSClient(this.url, true);
await client.connect();
this.connections.set(id, client);
return client;
}
// Pool exhausted - create new connection (caller should close when done)
const client = new NATSClient(this.url, false);
await client.connect();
return client;
}
/**
* Return a connection to the pool
* @param {NATSClient} client - Connection to return
*/
release(client) {
// Only return persistent connections
if (client.keepAlive && client.isConnected()) {
// Connection already in pool, do nothing
return;
}
// Non-persistent connection - close it
client.close();
}
/**
* Close all connections in the pool
*/
async closeAll() {
for (const [id, client] of this.connections) {
await client.close();
}
this.connections.clear();
}
}
// ---------------------------------------------- Core Functions ---------------------------------------------- //
@@ -394,9 +492,11 @@ class NATSClient {
* @param {string} subject - NATS subject to publish to
* @param {string} message - JSON message to publish
* @param {string} correlationId - Correlation ID for tracing
* @param {boolean} [closeConnection=true] - Close connection after publish (set false for persistent connections)
*/
async function publishMessage(brokerUrlOrClient, subject, message, correlationId) {
async function publishMessage(brokerUrlOrClient, subject, message, correlationId, closeConnection = true) {
let conn;
let shouldClose = false;
if (brokerUrlOrClient instanceof NATSClient) {
conn = brokerUrlOrClient;
@@ -410,15 +510,18 @@ async function publishMessage(brokerUrlOrClient, subject, message, correlationId
await brokerUrlOrClient.close();
}
};
shouldClose = true;
} else {
// String URL - create new client
const client = new NATSClient(brokerUrlOrClient);
conn = client;
shouldClose = true;
}
await conn.publish(subject, message, correlationId);
if (conn instanceof NATSClient) {
// Only close if explicitly requested and it's a short-lived client
if (shouldClose && closeConnection && conn instanceof NATSClient) {
await conn.close();
}
}
@@ -764,9 +867,37 @@ async function smartreceive(msg, options = {}) {
const NATSBridge = {
/**
* NATS client class for connection management
* Supports both single-use and persistent connection modes
*
* @example
* // Single-use connection (closes after publish)
* const client = new NATSBridge.NATSClient("nats://localhost:4222");
* await NATSBridge.smartsend("/test", [["msg", "Hello", "text"]], { nats_connection: client });
* await client.close();
*
* // Persistent connection (keeps connection open)
* const client = new NATSBridge.NATSClient("nats://localhost:4222", true);
* await client.connect();
* await NATSBridge.smartsend("/test1", [["msg", "Hello", "text"]], { nats_connection: client, is_publish: false });
* await NATSBridge.publishMessage(client, "/test2", JSON.stringify({msg: "World"}), "trace-id");
* // Connection remains open for more publishes
* await client.close();
*/
NATSClient,
/**
* Connection pool for managing multiple NATS connections
* Useful for applications with multiple concurrent publishers
*
* @example
* const pool = new NATSBridge.NATSConnectionPool("nats://localhost:4222", 10);
* const client = await pool.acquire();
* await NATSBridge.smartsend("/test", [["msg", "Hello", "text"]], { nats_connection: client });
* pool.release(client);
* await pool.closeAll();
*/
NATSConnectionPool,
/**
* Send data via NATS with automatic transport selection
*/
@@ -777,6 +908,19 @@ const NATSBridge = {
*/
smartreceive,
/**
* Publish message to NATS
*
* @example
* // Using a persistent connection
* const client = new NATSBridge.NATSClient("nats://localhost:4222", true);
* await client.connect();
* await NATSBridge.publishMessage(client, "/subject", JSON.stringify({msg: "Hello"}), "trace-id", false);
* // Connection stays open for more publishes
* await client.close();
*/
publishMessage,
/**
* Upload data to plik server in one-shot mode
*/