# 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.

[![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)

---

## Table of Contents

- [Overview](#overview)
- [Cross-Platform Support](#cross-platform-support)
- [Features](#features)
- [Quick Start](#quick-start)
- [API Reference](#api-reference)
- [Payload Types](#payload-types)
- [Cross-Platform Examples](#cross-platform-examples)
- [Testing](#testing)
- [Documentation](#documentation)
- [License](#license)

---

## Overview

NATSBridge enables seamless communication across multiple platforms through NATS, with intelligent transport selection based on payload size:

| Transport | Payload Size | Method |
|-----------|--------------|--------|
| **Direct** | < 1MB | Sent directly via NATS (Base64 encoded) |
| **Link** | >= 1MB | Uploaded to HTTP file server, URL sent via NATS |

### Use Cases

- **Chat Applications**: Text, images, audio, video in a single message
- **File Transfer**: Efficient transfer of large files using claim-check pattern
- **IoT/Embedded**: Sensor data, telemetry, and analytics pipelines (MicroPython)
- **Cross-Platform Communication**: Interoperability between Julia, JavaScript, Python, and MicroPython systems

---

## Cross-Platform Support

| 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 |
| **MicroPython** | [`src/natsbridge_mpy.py`](src/natsbridge_mpy.py) | Memory-constrained, synchronous API |

### Platform Comparison

| Feature | Julia | JavaScript | JavaScript (Browser) | Python | MicroPython |
|---------|-------|------------|----------------------|--------|-------------|
| Multiple Dispatch | ✅ Native | ❌ | ❌ | ❌ | ❌ |
| Async/Await | ❌ | ✅ Native | ✅ Native | ✅ Native | ⚠️ (uasyncio) |
| Type Safety | ✅ Strong | ⚠️ (TypeScript) | ⚠️ (TypeScript) | ✅ (Type hints) | ❌ |
| Arrow IPC | ✅ Native | ✅ | ✅ | ✅ | ❌ |
| Direct Transport | ✅ | ✅ | ✅ | ✅ | ✅ |
| Link Transport | ✅ | ✅ | ✅ | ✅ | ⚠️ (Limited) |
| Handler Functions | ✅ | ✅ | ✅ | ✅ | ✅ |
| Cross-Platform API | ✅ | ✅ | ✅ | ✅ | ✅ |
| WebSocket NATS | ❌ | ❌ | ✅ | ❌ | ❌ |

---

## Features

- ✅ **Cross-platform messaging** for Julia, JavaScript, Python, and MicroPython applications
- ✅ **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)
- ✅ **Exponential backoff** for reliable file server downloads
- ✅ **Correlation ID tracking** for message tracing
- ✅ **Reply-to support** for request-response patterns
- ✅ **Handler function abstraction** - pluggable file server implementations (Plik, AWS S3, custom)

---

## Quick Start

### Step 1: Start NATS Server

```bash
docker run -p 4222:4222 nats:latest
```

### Step 2: Start HTTP File Server (Optional)

```bash
# Create a directory for file uploads
mkdir -p /tmp/fileserver

# Start HTTP file server
python3 -m http.server 8080 --directory /tmp/fileserver
```

### Step 3: Send Your First Message

#### Julia

```julia
using NATSBridge

data = [("message", "Hello World", "text")]
env, env_json_str = smartsend("/chat/room1", data, broker_url="nats://localhost:4222")
println("Message sent!")
```

#### JavaScript

```javascript
const NATSBridge = require('./src/natsbridge.js');

const data = [["message", "Hello World", "text"]];
const [env, env_json_str] = await NATSBridge.smartsend(
    "/chat/room1",
    data,
    { broker_url: "nats://localhost:4222" }
);
console.log("Message sent!");
```

#### Python

```python
from natsbridge import smartsend

data = [("message", "Hello World", "text")]
env, env_json_str = await smartsend(
    "/chat/room1",
    data,
    broker_url="nats://localhost:4222"
)
print("Message sent!")
```

---

## API Reference

### Unified API Standard

All platforms use the same input/output format for payloads:

**Input format for smartsend:**
```
[(dataname1, data1, type1), (dataname2, data2, type2), ...]
```

**Output format for smartreceive:**
```
{
  "correlation_id": "...",
  "msg_id": "...",
  "timestamp": "...",
  "send_to": "...",
  "msg_purpose": "...",
  "sender_name": "...",
  "sender_id": "...",
  "receiver_name": "...",
  "receiver_id": "...",
  "reply_to": "...",
  "reply_to_msg_id": "...",
  "broker_url": "...",
  "metadata": {...},
  "payloads": [(dataname1, data1, type1), (dataname2, data2, type2), ...]
}
```

### smartsend

Sends data either directly via NATS or via a fileserver URL, depending on payload size.

#### Julia

```julia
using NATSBridge

env, env_json_str = NATSBridge.smartsend(
    subject::String,
    data::AbstractArray{Tuple{String, Any, String}};
    broker_url::String = "nats://localhost:4222",
    fileserver_url = "http://localhost:8080",
    fileserver_upload_handler::Function = plik_oneshot_upload,
    size_threshold::Int = 1_000_000,
    correlation_id::String = string(uuid4()),
    msg_purpose::String = "chat",
    sender_name::String = "NATSBridge",
    receiver_name::String = "",
    receiver_id::String = "",
    reply_to::String = "",
    reply_to_msg_id::String = "",
    is_publish::Bool = true,
    NATS_connection::Union{NATS.Connection, Nothing} = nothing,
    msg_id::String = string(uuid4()),
    sender_id::String = string(uuid4())
)
# Returns: ::Tuple{msg_envelope_v1, String}
```

#### JavaScript

```javascript
const NATSBridge = require('natsbridge');

const [env, env_json_str] = await NATSBridge.smartsend(
    subject,
    data,  // Array of [dataname, data, type] tuples
    {
        broker_url: 'nats://localhost:4222',
        fileserver_url: 'http://localhost:8080',
        fileserver_upload_handler: NATSBridge.plikOneshotUpload,
        size_threshold: 1_000_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]>
```

#### Python

```python
from natsbridge import NATSBridge

env, env_json_str = await NATSBridge.smartsend(
    subject: str,
    data: List[Tuple[str, Any, str]],
    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,
    correlation_id: str = None,
    msg_purpose: str = "chat",
    sender_name: str = "NATSBridge",
    receiver_name: str = "",
    receiver_id: str = "",
    reply_to: str = "",
    reply_to_msg_id: str = "",
    is_publish: bool = True,
    nats_connection: Any = None,
    msg_id: str = None,
    sender_id: str = None
)
# Returns: Tuple[Dict, str]
```

#### MicroPython

```python
from natsbridge import NATSBridge

# Limited to direct transport (< 100KB threshold)
env, env_json_str = NATSBridge.smartsend(
    subject,
    data,  # List of (dataname, data, type) tuples
    broker_url="nats://localhost:4222",
    size_threshold=100000  # Lower threshold for memory constraints
)
# Returns: Tuple[Dict, str]
```

### smartreceive

Receives and processes messages from NATS, handling both direct and link transport.

#### Julia

```julia
using NATSBridge

env = NATSBridge.smartreceive(
    msg::NATS.Msg;
    fileserver_download_handler::Function = _fetch_with_backoff,
    max_retries::Int = 5,
    base_delay::Int = 100,
    max_delay::Int = 5000
)
# Returns: ::JSON.Object{String, Any}
```

#### JavaScript

```javascript
const env = await NATSBridge.smartreceive(
    msg,
    {
        fileserver_download_handler: NATSBridge.fetchWithBackoff,
        max_retries: 5,
        base_delay: 100,
        max_delay: 5000
    }
);
// Returns: Promise<env_object>
```

#### Python

```python
env = await NATSBridge.smartreceive(
    msg,
    fileserver_download_handler=fetch_with_backoff,
    max_retries=5,
    base_delay=100,
    max_delay=5000
)
# Returns: Dict with "payloads" key
```

#### MicroPython

```python
env = NATSBridge.smartreceive(
    msg,
    fileserver_download_handler=_sync_fileserver_download,
    max_retries=3,
    base_delay=100,
    max_delay=1000
)
# Returns: Dict with "payloads" key
```

---

## Payload Types

| Type | Julia | JavaScript | Python | MicroPython | Description |
|------|-------|------------|--------|-------------|-------------|
| `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) |
| `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) |
| `binary` | `Vector{UInt8}`, `IOBuffer` | `Uint8Array`, `Buffer` | `bytes`, `bytearray` | `bytearray` | Generic binary data |

---

## Cross-Platform Examples

### Example 1: Chat with Mixed Content

Send text, image, and large file in one message.

#### Julia

```julia
using NATSBridge

data = [
    ("message_text", "Hello!", "text"),
    ("user_avatar", image_data, "image"),
    ("large_document", large_file_data, "binary")
]

env, env_json_str = NATSBridge.smartsend("/chat/room1", data; fileserver_url="http://localhost:8080")
```

#### JavaScript

```javascript
const NATSBridge = require('natsbridge');

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,
    { fileserver_url: 'http://localhost:8080' }
);
```

#### Python

```python
from natsbridge import NATSBridge

data = [
    ("message_text", "Hello!", "text"),
    ("user_avatar", image_data, "image"),
    ("large_document", large_file_data, "binary")
]

env, env_json_str = await NATSBridge.smartsend(
    "/chat/room1",
    data,
    fileserver_url="http://localhost:8080"
)
```

### Example 2: Dictionary Exchange

Send configuration data between platforms.

#### Julia

```julia
using NATSBridge

config = Dict(
    "wifi_ssid" => "MyNetwork",
    "wifi_password" => "password123",
    "update_interval" => 60
)

data = [("config", config, "dictionary")]
env, env_json_str = NATSBridge.smartsend("/device/config", data)
```

#### JavaScript

```javascript
const NATSBridge = require('natsbridge');

const config = {
    wifi_ssid: "MyNetwork",
    wifi_password: "password123",
    update_interval: 60
};

const [env, env_json_str] = await NATSBridge.smartsend(
    "/device/config",
    [["config", config, "dictionary"]]
);
```

#### Python

```python
from natsbridge import NATSBridge

config = {
    "wifi_ssid": "MyNetwork",
    "wifi_password": "password123",
    "update_interval": 60
}

data = [("config", config, "dictionary")]
env, env_json_str = await NATSBridge.smartsend("/device/config", data)
```

### Example 3: Table Data (Arrow IPC)

Send tabular data using Apache Arrow IPC format.

#### Julia

```julia
using NATSBridge
using DataFrames

df = DataFrame(
    id = [1, 2, 3],
    name = ["Alice", "Bob", "Charlie"],
    score = [95, 88, 92]
)

data = [("students", df, "arrowtable")]
env, env_json_str = NATSBridge.smartsend("/data/analysis", data)
```

#### JavaScript

```javascript
const NATSBridge = require('natsbridge');

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, "arrowtable"]]
);
```

#### Python

```python
from natsbridge import NATSBridge
import pandas as pd

df = pd.DataFrame({
    "id": [1, 2, 3],
    "name": ["Alice", "Bob", "Charlie"],
    "score": [95, 88, 92]
})

data = [("students", df, "arrowtable")]
env, env_json_str = await NATSBridge.smartsend("/data/analysis", data)
```

### Example 4: Request-Response Pattern

Bi-directional communication with reply-to support.

#### Julia

```julia
using NATSBridge

# Requester
env, env_json_str = NATSBridge.smartsend(
    "/device/command",
    [("command", Dict("action" => "read_sensor"), "dictionary")];
    broker_url="nats://localhost:4222",
    reply_to="/device/response"
)
```

#### JavaScript

```javascript
const NATSBridge = require('natsbridge');

// Requester
const [env, env_json_str] = await NATSBridge.smartsend(
    "/device/command",
    [["command", { action: "read_sensor" }, "dictionary"]],
    { broker_url: 'nats://localhost:4222', reply_to: '/device/response' }
);
```

#### Python

```python
from natsbridge import NATSBridge

# Requester
env, env_json_str = await NATSBridge.smartsend(
    "/device/command",
    [("command", {"action": "read_sensor"}, "dictionary")],
    broker_url="nats://localhost:4222",
    reply_to="/device/response"
)
```

---

## Testing

### Test File Organization

| Platform | Sender Tests | Receiver Tests |
|----------|--------------|----------------|
| **Julia** | `test/test_julia_*_sender.jl` | `test/test_julia_*_receiver.jl` |
| **JavaScript** | `test/test_js_*_sender.js` | `test/test_js_*_receiver.js` |
| **Python** | `test/test_py_*_sender.py` | `test/test_py_*_receiver.py` |

### Run Tests

#### Julia

```bash
# Text message exchange
julia test/test_julia_text_sender.jl
julia test/test_julia_text_receiver.jl

# Dictionary exchange
julia test/test_julia_dict_sender.jl
julia test/test_julia_dict_receiver.jl

# File transfer
julia test/test_julia_file_sender.jl
julia test/test_julia_file_receiver.jl

# Mixed payload types
julia test/test_julia_mix_payloads_sender.jl
julia test/test_julia_mix_payloads_receiver.jl

# Table exchange
julia test/test_julia_table_sender.jl
julia test/test_julia_table_receiver.jl
```

#### JavaScript (Node.js)

```bash
# Text message exchange
node test/test_js_text_sender.js
node test/test_js_text_receiver.js

# Dictionary exchange
node test/test_js_dictionary_sender.js
node test/test_js_dictionary_receiver.js

# Binary transfer
node test/test_js_binary_sender.js
node test/test_js_binary_receiver.js

# Table exchange
node test/test_js_table_sender.js
node test/test_js_table_receiver.js
```

#### Python

```bash
# Text message exchange
python3 test/test_py_text_sender.py
python3 test/test_py_text_receiver.py

# Dictionary exchange
python3 test/test_py_dictionary_sender.py
python3 test/test_py_dictionary_receiver.py

# Binary transfer
python3 test/test_py_binary_sender.py
python3 test/test_py_binary_receiver.py

# Table exchange
python3 test/test_py_table_sender.py
python3 test/test_py_table_receiver.py
```

---

## 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

---

## License

MIT License

Copyright (c) 2026 NATSBridge Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
