update

Reviewed-on: #7

AI_prompt.txt

@@ -12,4 +12,42 @@ Role: Principal Systems Architect & Lead Software Engineer.Objective: Implement
 
 
 
-Create a walkthrough for Julia service-A service sending a mix-content chat message to Julia service-B. the chat message must includes 
+Create a walkthrough for Julia service-A service sending a mix-content chat message to Julia service-B. the chat message must includes 
+
+
+
+
+
+
+I updated the following:
+- NATSBridge.jl. Essentially I add NATS_connection keyword and new publish_message function to support the keyword. 
+
+Use them and ONLY them as ground truth.
+
+Then update the following files accordingly:
+- architecture.md
+- implementation.md
+
+All API should be semantically consistent and naming should be consistent across the board.
+
+
+
+
+
+
+
+
+
+Task: Update NATSBridge.js to reflect recent changes in NATSBridge.jl and docs
+
+Context: NATSBridge.jl and docs has been updated.
+
+Requirements:
+
+Source of Truth: Treat the updated NATSBridge.jl and docs as the definitive source.
+API Consistency: Ensure the Main Package API (e.g., smartsend(), publish_message()) uses consistent naming across all three supported languages.
+Ecosystem Variance: Low-level native functions (e.g., NATS.connect(), JSON.read()) should follow the conventions of the specific language ecosystem and do not require cross-language consistency.
+
+
+
+

Project.toml

@@ -1,6 +1,6 @@
 name = "NATSBridge"
 uuid = "f2724d33-f338-4a57-b9f8-1be882570d10"
-version = "0.4.2"
+version = "0.4.3"
 authors = ["narawat <narawat@gmail.com>"]
 
 [deps]

README.md

@@ -0,0 +1,495 @@
+# NATSBridge
+
+A high-performance, bi-directional data bridge for **Julia** 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)
+- [Features](#features)
+- [Architecture](#architecture)
+- [Installation](#installation)
+- [Quick Start](#quick-start)
+- [API Reference](#api-reference)
+- [Payload Types](#payload-types)
+- [Transport Strategies](#transport-strategies)
+- [Examples](#examples)
+- [Testing](#testing)
+- [License](#license)
+
+---
+
+## Overview
+
+NATSBridge enables seamless communication for Julia applications 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
+- **Streaming Data**: Sensor data, telemetry, and analytics pipelines
+
+
+---
+
+## Features
+
+- ✅ **Bi-directional messaging** for Julia applications
+- ✅ **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
+- ✅ **JetStream support** for message replay and durability
+
+
+---
+
+## Architecture
+
+### System Components
+
+```
+┌─────────────────────────────────────────────────────────────────────┐
+│                     NATSBridge Architecture                         │
+├─────────────────────────────────────────────────────────────────────┤
+│  ┌──────────────┐                    │                              │
+│  │   Julia      │                    ▼                              │
+│  │  (NATS.jl)   │    ┌─────────────────────────┐                    │
+│  └──────────────┘    │    NATS                 │                    │
+│                      │    (Message Broker)     │                    │
+│                      └─────────────────────────┘                    │
+│                              │                                      │
+│                              ▼                                      │
+│                    ┌──────────────────────┐                         │
+│                    │  File Server         │                         │
+│                    │  (HTTP Upload/Get)   │                         │
+│                    └──────────────────────┘                         │
+└─────────────────────────────────────────────────────────────────────┘
+```
+
+### Message Flow
+
+1. **Sender** creates a message envelope with payloads
+2. **NATSBridge** serializes and encodes payloads based on type
+3. **Transport Decision**: Small payloads go directly to NATS, large payloads are uploaded to file server
+4. **NATS** routes messages to subscribers
+5. **Receiver** fetches payloads (from NATS or file server)
+6. **NATSBridge** deserializes and decodes payloads
+
+---
+
+## Installation
+
+### Prerequisites
+
+- **NATS Server** (v2.10+ recommended)
+- **HTTP File Server** (optional, for payloads > 1MB)
+
+### Julia
+
+```julia
+using Pkg
+Pkg.add("NATS")
+Pkg.add("https://git.yiem.cc/ton/NATSBridge")
+```
+
+---
+
+## 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
+
+# Send a text message
+data = [("message", "Hello World", "text")]
+env, env_json_str = NATSBridge.smartsend("/chat/room1", data; broker_url="nats://localhost:4222")
+println("Message sent!")
+```
+
+### Step 4: Receive Messages
+
+#### Julia
+
+```julia
+using NATS, NATSBridge
+
+# Configuration
+const SUBJECT = "/chat/room1"
+const NATS_URL = "nats://localhost:4222"
+
+# Helper: Log with correlation ID
+function log_trace(message)
+    timestamp = Dates.now()
+    println("[$timestamp] $message")
+end
+
+# Receiver: Listen for messages - msg comes from the callback
+function test_receive()
+    conn = NATS.connect(NATS_URL)
+    NATS.subscribe(conn, SUBJECT) do msg
+        log_trace("Received message on $(msg.subject)")
+        
+        # Receive and process message
+        env, env_json_str = NATSBridge.smartreceive(msg, fileserverDownloadHandler)
+        for (dataname, data, type) in env["payloads"]
+            println("Received $dataname: $data")
+        end
+    end
+    
+    # Keep listening for 120 seconds
+    sleep(120)
+    NATS.drain(conn)
+end
+
+test_receive()
+```
+
+---
+
+## API Reference
+
+### 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,                           # NATS subject
+    data::AbstractArray{Tuple{String, Any, String}};  # List of (dataname, data, type)
+    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::Union{String, Nothing} = nothing,
+    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,          # Whether to automatically publish to NATS
+    NATS_connection::Union{NATS.Connection, Nothing} = nothing  # Pre-existing NATS connection (optional, saves connection overhead)
+)
+# Returns: (msgEnvelope_v1, JSON string)
+# - env: msgEnvelope_v1 object with all envelope metadata and payloads
+# - env_json_str: JSON string representation of the envelope for publishing
+```
+
+### smartreceive
+
+Receives and processes messages from NATS, handling both direct and link transport.
+
+#### Julia
+
+```julia
+using NATSBridge
+
+# Note: msg is a NATS.Msg object passed from the subscription callback
+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: Dict with envelope metadata and payloads array
+```
+
+### publish_message
+
+Publish a message to a NATS subject. This function is available in Julia with two overloads:
+
+#### Julia
+
+**Using broker URL (creates new connection):**
+```julia
+using NATSBridge, NATS
+
+# Publish with URL - creates a new connection
+NATSBridge.publish_message(
+    "nats://localhost:4222",  # broker_url
+    "/chat/room1",            # subject
+    "{\"correlation_id\":\"abc123\"}",  # message
+    "abc123"                  # correlation_id
+)
+```
+
+**Using pre-existing connection (saves connection overhead):**
+```julia
+using NATSBridge, NATS
+
+# Create connection once and reuse
+conn = NATS.connect("nats://localhost:4222")
+NATSBridge.publish_message(conn, "/chat/room1", "{\"correlation_id\":\"abc123\"}", "abc123")
+# Connection is automatically drained after publish
+```
+
+---
+
+## Payload Types
+
+| Type | Description | Serialization |
+|------|-------------|---------------|
+| `text` | Plain text strings | UTF-8 bytes |
+| `dictionary` | JSON-serializable dictionaries | JSON |
+| `table` | Tabular data (DataFrames, arrays) | Apache Arrow IPC |
+| `image` | Image data (PNG, JPG) | Raw bytes |
+| `audio` | Audio data (WAV, MP3) | Raw bytes |
+| `video` | Video data (MP4, AVI) | Raw bytes |
+| `binary` | Generic binary data | Raw bytes |
+
+---
+
+## Transport Strategies
+
+### Direct Transport (Payloads < 1MB)
+
+Small payloads are sent directly via NATS with Base64 encoding.
+
+#### Julia
+```julia
+data = [("message", "Hello", "text")]
+smartsend("/topic", data)
+```
+
+### Link Transport (Payloads >= 1MB)
+
+Large payloads are uploaded to an HTTP file server.
+
+#### Julia
+```julia
+data = [("file", large_data, "binary")]
+smartsend("/topic", data; fileserver_url="http://localhost:8080")
+```
+
+---
+
+## Examples
+
+### Example 1: Chat with Mixed Content
+
+Send text, small 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")
+```
+
+### 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)
+```
+
+### 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, "table")]
+env, env_json_str = NATSBridge.smartsend("/data/analysis", data)
+```
+
+### Example 4: Request-Response Pattern with Envelope JSON
+
+Bi-directional communication with reply-to support. The `smartsend` function now returns both the envelope object and a JSON string that can be published directly.
+
+#### Julia (Requester)
+```julia
+using NATSBridge
+
+env, env_json_str = NATSBridge.smartsend(
+    "/device/command",
+    [("command", Dict("action" => "read_sensor"), "dictionary")];
+    broker_url="nats://localhost:4222",
+    reply_to="/device/response"
+)
+```
+
+#### Julia (Responder)
+```julia
+using NATS, NATSBridge
+
+# Configuration
+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 = NATSBridge.smartreceive(msg, fileserver_download_handler=_fetch_with_backoff)
+        
+        # Extract reply_to from the envelope metadata
+        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)
+                # Send response to the reply_to subject from the request
+                if !isempty(reply_to)
+                    smartsend(reply_to, [("data", response, "dictionary")])
+                end
+            end
+        end
+    end
+    
+    sleep(120)
+    NATS.drain(conn)
+end
+
+test_responder()
+```
+
+### Example 5: IoT Device Sensor Data
+
+IoT device sending sensor data.
+
+#### Julia (Receiver)
+```julia
+using NATS, NATSBridge
+
+# Configuration
+const SUBJECT = "/device/sensors"
+const NATS_URL = "nats://localhost:4222"
+
+function test_receiver()
+    conn = NATS.connect(NATS_URL)
+    NATS.subscribe(conn, SUBJECT) do msg
+        env, env_json_str = NATSBridge.smartreceive(msg, fileserverDownloadHandler)
+        for (dataname, data, type) in env["payloads"]
+            if dataname == "temperature"
+                println("Temperature: $data")
+            elseif dataname == "humidity"
+                println("Humidity: $data")
+            end
+        end
+    end
+    
+    sleep(120)
+    NATS.drain(conn)
+end
+
+test_receiver()
+```
+
+---
+
+## Testing
+
+Run the test scripts to verify functionality:
+
+### Julia
+
+```julia
+# 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
+```
+
+---
+
+## 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.

docs/architecture.md

@@ -2,12 +2,10 @@
 
 ## Overview
 
-This document describes the architecture for a high-performance, bi-directional data bridge between **Julia**, **JavaScript**, and **Python/Micropython** applications using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
+This document describes the architecture for a high-performance, bi-directional data bridge for **Julia** applications using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
 
-The system enables seamless communication across all three platforms:
+The system enables seamless communication for Julia applications:
-- **Julia ↔ JavaScript** bi-directional messaging
+- **Julia** messaging with NATS
-- **JavaScript ↔ Python/Micropython** bi-directional messaging
-- **Julia ↔ Python/Micropython** bi-directional messaging (via JSON serialization)
 
 ### File Server Handler Architecture
 
@@ -17,16 +15,16 @@ The system uses **handler functions** to abstract file server operations, allowi
 
 ```julia
 # Upload handler - uploads data to file server and returns URL
-# The handler is passed to smartsend as fileserverUploadHandler parameter
+# The handler is passed to smartsend as fileserver_upload_handler parameter
 # It receives: (fileserver_url::String, dataname::String, data::Vector{UInt8})
 # Returns: Dict{String, Any} with keys: "status", "uploadid", "fileid", "url"
-fileserverUploadHandler(fileserver_url::String, dataname::String, data::Vector{UInt8})::Dict{String, Any}
+fileserver_upload_handler(fileserver_url::String, dataname::String, data::Vector{UInt8})::Dict{String, Any}
 
 # Download handler - fetches data from file server URL with exponential backoff
-# The handler is passed to smartreceive as fileserverDownloadHandler parameter
+# The handler is passed to smartreceive as fileserver_download_handler parameter
 # It receives: (url::String, max_retries::Int, base_delay::Int, max_delay::Int, correlation_id::String)
 # Returns: Vector{UInt8} (the downloaded data)
-fileserverDownloadHandler(url::String, max_retries::Int, base_delay::Int, max_delay::Int, correlation_id::String)::Vector{UInt8}
+fileserver_download_handler(url::String, max_retries::Int, base_delay::Int, max_delay::Int, correlation_id::String)::Vector{UInt8}
 ```
 
 This design allows the system to support multiple file server backends without changing the core messaging logic.
@@ -40,21 +38,21 @@ The system uses a **standardized list-of-tuples format** for all payload operati
 # Input format for smartsend (always a list of tuples with type info)
 [(dataname1, data1, type1), (dataname2, data2, type2), ...]
 
-# Output format for smartreceive (returns envelope dictionary with payloads field)
+# Output format for smartreceive (returns a dictionary-like object with payloads field containing list of tuples)
-# Returns: Dict with envelope metadata and payloads field containing list of tuples
+# Returns: Dict-like object with envelope metadata and payloads field containing Vector{Tuple{String, Any, String}}
 # {
-#   "correlationId": "...",
+#   "correlation_id": "...",
-#   "msgId": "...",
+#   "msg_id": "...",
 #   "timestamp": "...",
-#   "sendTo": "...",
+#   "send_to": "...",
-#   "msgPurpose": "...",
+#   "msg_purpose": "...",
-#   "senderName": "...",
+#   "sender_name": "...",
-#   "senderId": "...",
+#   "sender_id": "...",
-#   "receiverName": "...",
+#   "receiver_name": "...",
-#   "receiverId": "...",
+#   "receiver_id": "...",
-#   "replyTo": "...",
+#   "reply_to": "...",
-#   "replyToMsgId": "...",
+#   "reply_to_msg_id": "...",
-#   "brokerURL": "...",
+#   "broker_url": "...",
 #   "metadata": {...},
 #   "payloads": [(dataname1, data1, type1), (dataname2, data2, type2), ...]
 # }
@@ -78,17 +76,16 @@ This design allows per-payload type specification, enabling **mixed-content mess
 smartsend(
     "/test",
     [("dataname1", data1, "dictionary")],  # List with one tuple (data, type)
-    nats_url="nats://localhost:4222",
+    broker_url="nats://localhost:4222",
-    fileserverUploadHandler=plik_oneshot_upload,
+    fileserver_upload_handler=plik_oneshot_upload
-    metadata=user_provided_envelope_level_metadata
 )
 
 # Multiple payloads in one message with different types
 smartsend(
     "/test",
     [("dataname1", data1, "dictionary"), ("dataname2", data2, "table")],
-    nats_url="nats://localhost:4222",
+    broker_url="nats://localhost:4222",
-    fileserverUploadHandler=plik_oneshot_upload
+    fileserver_upload_handler=plik_oneshot_upload
 )
 
 # Mixed content (e.g., chat with text, image, audio)
@@ -99,13 +96,14 @@ smartsend(
         ("user_image", image_data, "image"),
         ("audio_clip", audio_data, "audio")
     ],
-    nats_url="nats://localhost:4222"
+    broker_url="nats://localhost:4222"
 )
 
 # Receive returns a dictionary envelope with all metadata and deserialized payloads
-envelope = smartreceive(msg, fileserverDownloadHandler, max_retries, base_delay, max_delay)
+env = smartreceive(msg; fileserver_download_handler=_fetch_with_backoff, max_retries=5, base_delay=100, max_delay=5000)
-# envelope["payloads"] = [("dataname1", data1, type1), ("dataname2", data2, type2), ...]
+# env["payloads"] = [("dataname1", data1, type1), ("dataname2", data2, type2), ...]
-# envelope["correlationId"], envelope["msgId"], etc.
+# env["correlation_id"], env["msg_id"], etc.
+# env is a dictionary containing envelope metadata and payloads field
 ```
 
 ## Architecture Diagram
@@ -113,8 +111,7 @@ envelope = smartreceive(msg, fileserverDownloadHandler, max_retries, base_delay,
 ```mermaid
 flowchart TD
     subgraph Client
-        JS[JavaScript Client]
+        App[Julia Application]
-        JSApp[Application Logic]
     end
 
     subgraph Server
@@ -123,14 +120,12 @@ flowchart TD
         FileServer[HTTP File Server]
     end
 
-    JS -->|Control/Small Data| JSApp
+    App -->|NATS| NATS
-    JSApp -->|NATS| NATS
     NATS -->|NATS| Julia
     Julia -->|NATS| NATS
     Julia -->|HTTP POST| FileServer
-    JS -->|HTTP GET| FileServer
 
-    style JS fill:#e1f5fe
+    style App fill:#e8f5e9
     style Julia fill:#e8f5e9
     style NATS fill:#fff3e0
     style FileServer fill:#f3e5f5
@@ -138,48 +133,48 @@ flowchart TD
 
 ## System Components
 
-### 1. msgEnvelope_v1 - Message Envelope
+### 1. msg_envelope_v1 - Message Envelope
 
-The `msgEnvelope_v1` structure provides a comprehensive message format for bidirectional communication between Julia, JavaScript, and Python/Micropython applications.
+The `msg_envelope_v1` structure provides a comprehensive message format for bidirectional communication in Julia applications.
 
 **Julia Structure:**
 ```julia
-struct msgEnvelope_v1
+struct msg_envelope_v1
-  correlationId::String       # Unique identifier to track messages across systems
+  correlation_id::String       # Unique identifier to track messages across systems
-  msgId::String               # This message id
+  msg_id::String               # This message id
-  timestamp::String           # Message published timestamp
+  timestamp::String            # Message published timestamp
   
-  sendTo::String              # Topic/subject the sender sends to
+  send_to::String              # Topic/subject the sender sends to
-  msgPurpose::String          # Purpose of this message (ACK | NACK | updateStatus | shutdown | ...)
+  msg_purpose::String          # Purpose of this message (ACK | NACK | updateStatus | shutdown | ...)
-  senderName::String          # Sender name (e.g., "agent-wine-web-frontend")
+  sender_name::String          # Sender name (e.g., "agent-wine-web-frontend")
-  senderId::String            # Sender id (uuid4)
+  sender_id::String            # Sender id (uuid4)
-  receiverName::String        # Message receiver name (e.g., "agent-backend")
+  receiver_name::String        # Message receiver name (e.g., "agent-backend")
-  receiverId::String          # Message receiver id (uuid4 or nothing for broadcast)
+  receiver_id::String          # Message receiver id (uuid4 or nothing for broadcast)
-  replyTo::String             # Topic to reply to
+  reply_to::String             # Topic to reply to
-  replyToMsgId::String        # Message id this message is replying to
+  reply_to_msg_id::String      # Message id this message is replying to
-  brokerURL::String           # NATS server address
+  broker_url::String           # NATS server address
   
   metadata::Dict{String, Any}
-  payloads::AbstractArray{msgPayload_v1}  # Multiple payloads stored here
+  payloads::Vector{msg_payload_v1}  # Multiple payloads stored here
 end
 ```
 
 **JSON Schema:**
 ```json
 {
-  "correlationId": "uuid-v4-string",
+  "correlation_id": "uuid-v4-string",
-  "msgId": "uuid-v4-string",
+  "msg_id": "uuid-v4-string",
   "timestamp": "2024-01-15T10:30:00Z",
   
-  "sendTo": "topic/subject",
+  "send_to": "topic/subject",
-  "msgPurpose": "ACK | NACK | updateStatus | shutdown | chat",
+  "msg_purpose": "ACK | NACK | updateStatus | shutdown | chat",
-  "senderName": "agent-wine-web-frontend",
+  "sender_name": "agent-wine-web-frontend",
-  "senderId": "uuid4",
+  "sender_id": "uuid4",
-  "receiverName": "agent-backend",
+  "receiver_name": "agent-backend",
-  "receiverId": "uuid4",
+  "receiver_id": "uuid4",
-  "replyTo": "topic",
+  "reply_to": "topic",
-  "replyToMsgId": "uuid4",
+  "reply_to_msg_id": "uuid4",
-  "brokerURL": "nats://localhost:4222",
+  "broker_url": "nats://localhost:4222",
   
   "metadata": {
 
@@ -189,7 +184,7 @@ end
     {
       "id": "uuid4",
       "dataname": "login_image",
-      "type": "image",
+      "payload_type": "image",
       "transport": "direct",
       "encoding": "base64",
       "size": 15433,
@@ -201,7 +196,7 @@ end
     {
       "id": "uuid4",
       "dataname": "large_data",
-      "type": "table",
+      "payload_type": "table",
       "transport": "link",
       "encoding": "none",
       "size": 524288,
@@ -214,16 +209,16 @@ end
 }
 ```
 
-### 2. msgPayload_v1 - Payload Structure
+### 2. msg_payload_v1 - Payload Structure
 
-The `msgPayload_v1` structure provides flexible payload handling for various data types across all supported platforms.
+The `msg_payload_v1` structure provides flexible payload handling for various data types.
 
 **Julia Structure:**
 ```julia
-struct msgPayload_v1
+struct msg_payload_v1
   id::String                    # Id of this payload (e.g., "uuid4")
   dataname::String              # Name of this payload (e.g., "login_image")
-  type::String                  # "text | dictionary | table | image | audio | video | binary"
+  payload_type::String          # "text | dictionary | table | image | audio | video | binary"
   transport::String             # "direct | link"
   encoding::String              # "none | json | base64 | arrow-ipc"
   size::Integer                 # Data size in bytes
@@ -271,65 +266,7 @@ end
       └─────────────────┘                 └─────────────────┘
 ```
 
-### 4. Cross-Platform Architecture
+### 4. Julia Module Architecture
-
-```mermaid
-flowchart TD
-    subgraph PythonMicropython
-        Py[Python/Micropython]
-        PySmartSend[smartsend]
-        PySmartReceive[smartreceive]
-    end
-
-    subgraph JavaScript
-        JS[JavaScript]
-        JSSmartSend[smartsend]
-        JSSmartReceive[smartreceive]
-    end
-
-    subgraph Julia
-        Julia[Julia]
-        JuliaSmartSend[smartsend]
-        JuliaSmartReceive[smartreceive]
-    end
-
-    subgraph NATS
-        NATSServer[NATS Server]
-    end
-
-    PySmartSend --> NATSServer
-    JSSmartSend --> NATSServer
-    JuliaSmartSend --> NATSServer
-    NATSServer --> PySmartReceive
-    NATSServer --> JSSmartReceive
-    NATSServer --> JuliaSmartReceive
-
-    style PythonMicropython fill:#e1f5fe
-    style JavaScript fill:#f3e5f5
-    style Julia fill:#e8f5e9
-```
-
-### 5. Python/Micropython Module Architecture
-
-```mermaid
-graph TD
-    subgraph PyModule
-        PySmartSend[smartsend]
-        SizeCheck[Size Check]
-        DirectPath[Direct Path]
-        LinkPath[Link Path]
-        HTTPClient[HTTP Client]
-    end
-
-    PySmartSend --> SizeCheck
-    SizeCheck -->|< 1MB| DirectPath
-    SizeCheck -->|>= 1MB| LinkPath
-    LinkPath --> HTTPClient
-
-    style PyModule fill:#b3e5fc
-```
-
-### 6. Julia Module Architecture
 
 ```mermaid
 graph TD
@@ -349,24 +286,6 @@ graph TD
     style JuliaModule fill:#c5e1a5
 ```
 
-### 7. JavaScript Module Architecture
-
-```mermaid
-graph TD
-    subgraph JSModule
-        JSSmartSend[smartsend]
-        JSSmartReceive[smartreceive]
-        JetStreamConsumer[JetStream Pull Consumer]
-        ApacheArrow[Apache Arrow]
-    end
-
-    JSSmartSend --> NATS
-    JSSmartReceive --> JetStreamConsumer
-    JetStreamConsumer --> ApacheArrow
-
-    style JSModule fill:#f3e5f5
-```
-
 ## Implementation Details
 
 ### Julia Implementation
@@ -383,13 +302,47 @@ graph TD
 ```julia
 function smartsend(
   subject::String,
-  data::AbstractArray{Tuple{String, Any, String}};  # No standalone type parameter
+  data::AbstractArray{Tuple{String, Any, String}, 1};  # List of (dataname, data, type) tuples
-  nats_url::String = "nats://localhost:4222",
+  broker_url::String = DEFAULT_BROKER_URL,  # NATS server URL
-  fileserverUploadHandler::Function = plik_oneshot_upload,
+  fileserver_url = DEFAULT_FILESERVER_URL,
-  size_threshold::Int = 1_000_000  # 1MB
+  fileserver_upload_handler::Function = plik_oneshot_upload,
+  size_threshold::Int = DEFAULT_SIZE_THRESHOLD,
+  correlation_id::Union{String, Nothing} = nothing,
+  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,   # Whether to automatically publish to NATS
+  NATS_connection::Union{NATS.Connection, Nothing} = nothing  # Pre-existing NATS connection (optional, saves connection overhead)
 )
 ```
 
+**Keyword Parameter - NATS_connection:**
+- `NATS_connection::Union{NATS.Connection, Nothing} = nothing` - Pre-existing NATS connection. When provided, `smartsend` uses this connection instead of creating a new one, avoiding the overhead of connection establishment. This is useful for high-frequency publishing scenarios where connection reuse provides performance benefits.
+
+**Connection Handling Logic:**
+```julia
+if is_publish == false
+  # skip publish a message
+elseif is_publish == true && NATS_connection === nothing
+  publish_message(broker_url, subject, env_json_str, cid)  # Creates new connection
+elseif is_publish == true && NATS_connection !== nothing
+  publish_message(NATS_connection, subject, env_json_str, cid)  # Uses provided connection
+end
+```
+
+**Return Value:**
+- Returns a tuple `(env, env_json_str)` where:
+  - `env::msg_envelope_v1` - The envelope object containing all metadata and payloads
+  - `env_json_str::String` - JSON string representation of the envelope for publishing
+
+**Options:**
+- `is_publish::Bool = true` - When `true` (default), the message is automatically published to NATS. When `false`, the function returns the envelope and JSON string without publishing, allowing manual publishing via NATS request-reply pattern.
+
+The envelope object can be accessed directly for programmatic use, while the JSON string can be published directly to NATS using the request-reply pattern.
+
 **Input Format:**
 - `data::AbstractArray{Tuple{String, Any, String}}` - **Must be a list of (dataname, data, type) tuples**: `[("dataname1", data1, "type1"), ("dataname2", data2, "type2"), ...]`
 - Even for single payloads: `[(dataname1, data1, "type1")]`
@@ -406,8 +359,8 @@ function smartsend(
 
 ```julia
 function smartreceive(
-    msg::NATS.Message,
+    msg::NATS.Msg;
-    fileserverDownloadHandler::Function;
+    fileserver_download_handler::Function = _fetch_with_backoff,
     max_retries::Int = 5,
     base_delay::Int = 100,
     max_delay::Int = 5000
@@ -416,17 +369,17 @@ function smartreceive(
     # Iterate through all payloads
     # For each payload: check transport type
     #   If direct: decode Base64 payload
-    #   If link: fetch from URL with exponential backoff using fileserverDownloadHandler
+    #   If link: fetch from URL with exponential backoff using fileserver_download_handler
     # Deserialize payload based on type
     # Return envelope dictionary with all metadata and deserialized payloads
 end
 ```
 
 **Output Format:**
-- Returns a dictionary (key-value map) containing all envelope fields:
+- Returns a JSON object (dictionary) containing all envelope fields:
-  - `correlationId`, `msgId`, `timestamp`, `sendTo`, `msgPurpose`, `senderName`, `senderId`, `receiverName`, `receiverId`, `replyTo`, `replyToMsgId`, `brokerURL`
+  - `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` - Message-level metadata dictionary
-  - `payloads` - List of dictionaries, each containing deserialized payload data
+  - `payloads` - List of tuples, each containing `(dataname, data, type)` with deserialized payload data
 
 **Process Flow:**
 1. Parse the JSON envelope to extract all fields
@@ -434,70 +387,58 @@ end
 3. For each payload:
    - Determine transport type (`direct` or `link`)
    - If `direct`: decode Base64 data from the message
-   - If `link`: fetch data from URL using exponential backoff (via `fileserverDownloadHandler`)
+   - If `link`: fetch data from URL using exponential backoff (via `fileserver_download_handler`)
    - Deserialize based on payload type (`dictionary`, `table`, `binary`, etc.)
 4. Return envelope dictionary with `payloads` field containing list of `(dataname, data, type)` tuples
 
-**Note:** The `fileserverDownloadHandler` receives `(url::String, max_retries::Int, base_delay::Int, max_delay::Int, correlation_id::String)` and returns `Vector{UInt8}`.
+**Note:** The `fileserver_download_handler` receives `(url::String, max_retries::Int, base_delay::Int, max_delay::Int, correlation_id::String)` and returns `Vector{UInt8}`.
 
-### JavaScript Implementation
+#### publish_message Function
 
-#### Dependencies
+The `publish_message` function provides two overloads for publishing messages to NATS:
-- `nats.js` - Core NATS functionality
-- `apache-arrow` - Arrow IPC serialization
-- `uuid` - Correlation ID generation
 
-#### smartsend Function
+**Overload 1 - URL-based publishing (creates new connection):**
-
+```julia
-```javascript
+function publish_message(broker_url::String, subject::String, message::String, correlation_id::String)
-async function smartsend(subject, data, options = {})
+  conn = NATS.connect(broker_url)  # Create NATS connection
-    // data format: [(dataname, data, type), ...]
+  publish_message(conn, subject, message, correlation_id)
-    // options object should include:
+end
-    // - natsUrl: NATS server URL
-    // - fileserverUrl: base URL of the file server
-    // - sizeThreshold: threshold in bytes for transport selection
-    // - correlationId: optional correlation ID for tracing
 ```
 
-**Input Format:**
+**Overload 2 - Connection-based publishing (uses pre-existing connection):**
-- `data` - **Must be a list of (dataname, data, type) tuples**: `[(dataname1, data1, "type1"), (dataname2, data2, "type2"), ...]`
+```julia
-- Even for single payloads: `[(dataname1, data1, "type1")]`
+function publish_message(conn::NATS.Connection, subject::String, message::String, correlation_id::String)
-- Each payload can have a different type, enabling mixed-content messages
+  try
-
+    NATS.publish(conn, subject, message)  # Publish message to NATS
-**Flow:**
+    log_trace(correlation_id, "Message published to $subject")  # Log successful publish
-1. Iterate through the list of (dataname, data, type) tuples
+  finally
-2. For each payload: extract the type from the tuple and serialize accordingly
+    NATS.drain(conn)  # Ensure connection is closed properly
-3. Check payload size
+  end
-4. If < threshold: publish directly to NATS
+end
-5. If >= threshold: upload to HTTP server, publish NATS with URL
-
-#### smartreceive Handler
-
-```javascript
-async function smartreceive(msg, options = {})
-    // options object should include:
-    // - fileserverDownloadHandler: function to fetch data from file server URL
-    // - max_retries: maximum retry attempts for fetching URL
-    // - base_delay: initial delay for exponential backoff in ms
-    // - max_delay: maximum delay for exponential backoff in ms
-    // - correlationId: optional correlation ID for tracing
 ```
 
-**Output Format:**
+**Use Case:** Use the connection-based overload when you already have an established NATS connection and want to publish multiple messages without the overhead of creating a new connection for each publish. This is a Julia-specific optimization that leverages function overloading.
-- Returns a dictionary (key-value map) containing all envelope fields:
-  - `correlationId`, `msgId`, `timestamp`, `sendTo`, `msgPurpose`, `senderName`, `senderId`, `receiverName`, `receiverId`, `replyTo`, `replyToMsgId`, `brokerURL`
-  - `metadata` - Message-level metadata dictionary
-  - `payloads` - List of dictionaries, each containing deserialized payload data
 
-**Process Flow:**
+**Integration with smartsend:**
-1. Parse the JSON envelope to extract all fields
+```julia
-2. Iterate through each payload in `payloads`
+# When NATS_connection is provided to smartsend, it uses the connection-based publish_message
-3. For each payload:
+env, env_json_str = smartsend(
-   - Determine transport type (`direct` or `link`)
+    "my.subject",
-   - If `direct`: decode Base64 data from the message
+    [("data", payload_data, "type")],
-   - If `link`: fetch data from URL using exponential backoff
+    NATS_connection=my_connection,  # Pre-existing connection
-   - Deserialize based on payload type (`dictionary`, `table`, `binary`, etc.)
+    is_publish=true
-4. Return envelope dictionary with `payloads` field containing list of `(dataname, data, type)` tuples
+)
+# Uses: publish_message(NATS_connection, subject, env_json_str, cid)
+
+# When NATS_connection is not provided, it uses the URL-based publish_message
+env, env_json_str = smartsend(
+    "my.subject",
+    [("data", payload_data, "type")],
+    broker_url="nats://localhost:4222",
+    is_publish=true
+)
+# Uses: publish_message(broker_url, subject, env_json_str, cid)
+```
 
 ## Scenario Implementations
 
@@ -511,18 +452,6 @@ async function smartreceive(msg, options = {})
 # Send acknowledgment
 ```
 
-**JavaScript (Sender/Receiver):**
-```javascript
-// Create small dictionary config
-// Send via smartsend with type="dictionary"
-```
-
-**Python/Micropython (Sender/Receiver):**
-```python
-# Create small dictionary config
-# Send via smartsend with type="dictionary"
-```
-
 ### Scenario 2: Deep Dive Analysis (Large Arrow Table)
 
 **Julia (Sender/Receiver):**
@@ -534,32 +463,8 @@ async function smartreceive(msg, options = {})
 # Publish NATS with URL
 ```
 
-**JavaScript (Sender/Receiver):**
-```javascript
-// Receive NATS message with URL
-// Fetch data from HTTP server
-// Parse Arrow IPC with zero-copy
-// Load into Perspective.js or D3
-```
-
-**Python/Micropython (Sender/Receiver):**
-```python
-# Create large DataFrame
-# Convert to Arrow IPC stream
-# Check size (> 1MB)
-# Upload to HTTP server
-# Publish NATS with URL
-```
-
 ### Scenario 3: Live Audio Processing
 
-**JavaScript (Sender/Receiver):**
-```javascript
-// Capture audio chunk
-// Send as binary with metadata headers
-// Use smartsend with type="audio"
-```
-
 **Julia (Sender/Receiver):**
 ```julia
 # Receive audio data
@@ -567,13 +472,6 @@ async function smartreceive(msg, options = {})
 # Send results back (JSON + Arrow table)
 ```
 
-**Python/Micropython (Sender/Receiver):**
-```python
-# Capture audio chunk
-# Send as binary with metadata headers
-# Use smartsend with type="audio"
-```
-
 ### Scenario 4: Catch-Up (JetStream)
 
 **Julia (Producer/Consumer):**
@@ -582,22 +480,9 @@ async function smartreceive(msg, options = {})
 # Include metadata for temporal tracking
 ```
 
-**JavaScript (Producer/Consumer):**
-```javascript
-// Connect to JetStream
-// Request replay from last 10 minutes
-// Process historical and real-time messages
-```
-
-**Python/Micropython (Producer/Consumer):**
-```python
-# Publish to JetStream
-# Include metadata for temporal tracking
-```
-
 ### Scenario 5: Selection (Low Bandwidth)
 
-**Focus:** Small Arrow tables, cross-platform communication. The Action: Any platform wants to send a small DataFrame to show on any receiving application for the user to choose.
+**Focus:** Small Arrow tables. The Action: Julia wants to send a small DataFrame to show on a receiving application for the user to choose.
 
 **Julia (Sender/Receiver):**
 ```julia
@@ -608,30 +493,9 @@ async function smartreceive(msg, options = {})
 # Include metadata for dashboard selection context
 ```
 
-**JavaScript (Sender/Receiver):**
-```javascript
-// Receive NATS message with direct transport
-// Decode Base64 payload
-// Parse Arrow IPC with zero-copy
-// Load into selection UI component (e.g., dropdown, table)
-// User makes selection
-// Send selection back to Julia
-```
-
-**Python/Micropython (Sender/Receiver):**
-```python
-# Create small DataFrame (e.g., 50KB - 500KB)
-# Convert to Arrow IPC stream
-# Check payload size (< 1MB threshold)
-# Publish directly to NATS with Base64-encoded payload
-# Include metadata for dashboard selection context
-```
-
-**Use Case:** Any server generates a list of available options (e.g., file selections, configuration presets) as a small DataFrame and sends to any receiving application for user selection. The selection is then sent back to the sender for processing.
-
 ### Scenario 6: Chat System
 
-**Focus:** Every conversational message is composed of any number and any combination of components, spanning the full spectrum from small to large. This includes text, images, audio, video, tables, and files—specifically accommodating everything from brief snippets to high-resolution images, large audio files, extensive tables, and massive documents. Support for claim-check delivery and full bi-directional messaging across all platforms.
+**Focus:** Every conversational message is composed of any number and any combination of components, spanning the full spectrum from small to large. This includes text, images, audio, video, tables, and files—specifically accommodating everything from brief snippets to high-resolution images, large audio files, extensive tables, and massive documents. Support for claim-check delivery and full bi-directional messaging.
 
 **Multi-Payload Support:** The system supports mixed-payload messages where a single message can contain multiple payloads with different transport strategies. The `smartreceive` function iterates through all payloads in the envelope and processes each according to its transport type.
 
@@ -653,44 +517,9 @@ async function smartreceive(msg, options = {})
 # Support bidirectional messaging with replyTo fields
 ```
 
-**JavaScript (Sender/Receiver):**
+**Use Case:** Full-featured chat system supporting rich media. User can send text, small images directly, or upload large files that get uploaded to HTTP server and referenced via URLs. Claim-check pattern ensures reliable delivery tracking for all message components.
-```javascript
-// Build chat message with mixed content:
-// - User input text: direct transport
-// - Selected image: check size, use appropriate transport
-// - Audio recording: link transport for large files
-// - File attachment: link transport
-// 
-// Parse received message:
-// - Direct payloads: decode Base64
-// - Link payloads: fetch from HTTP with exponential backoff
-// - Deserialize all payloads appropriately
-// 
-// Render mixed content in chat interface
-// Support bidirectional reply with claim-check delivery confirmation
-```
 
-**Python/Micropython (Sender/Receiver):**
+**Implementation Note:** The `smartreceive` function iterates through all payloads in the envelope and processes each according to its transport type. See the standard API format in Section 1: `msg_envelope_v1` supports `Vector{msg_payload_v1}` for multiple payloads.
-```python
-# Build chat message with mixed payloads:
-# - Text: direct transport (Base64)
-# - Small images: direct transport (Base64)
-# - Large images: link transport (HTTP URL)
-# - Audio/video: link transport (HTTP URL)
-# - Tables: direct or link depending on size
-# - Files: link transport (HTTP URL)
-# 
-# Each payload uses appropriate transport strategy:
-# - Size < 1MB → direct (NATS + Base64)
-# - Size >= 1MB → link (HTTP upload + NATS URL)
-# 
-# Include claim-check metadata for delivery tracking
-# Support bidirectional messaging with replyTo fields
-```
-
-**Use Case:** Full-featured chat system supporting rich media. User can send text, small images directly, or upload large files that get uploaded to HTTP server and referenced via URLs. Claim-check pattern ensures reliable delivery tracking for all message components across all platforms.
-
-**Implementation Note:** The `smartreceive` function iterates through all payloads in the envelope and processes each according to its transport type. See the standard API format in Section 1: `msgEnvelope_v1` supports `AbstractArray{msgPayload_v1}` for multiple payloads.
 
 ## Performance Considerations
 

etc.jl

@@ -0,0 +1,9 @@
+Task: Update README.md to reflect recent changes in NATSbridge package.
+
+Context: the package has been updated with the NATS_connection keyword and the publish_message function.
+
+Requirements:
+
+Source of Truth: Treat the updated NATSbridge code as the definitive source. Update README.md to align exactly with these changes.
+API Consistency: Ensure the Main Package API (e.g., smartsend(), publish_message()) uses consistent naming across all three supported languages.
+Ecosystem Variance: Low-level native functions (e.g., NATS.connect(), JSON.read()) should follow the conventions of the specific language ecosystem and do not require cross-language consistency.

examples/tutorial.md

@@ -1,6 +1,6 @@
 # NATSBridge Tutorial
 
-A step-by-step guide to get started with NATSBridge - a high-performance, bi-directional data bridge for **Julia**, **JavaScript**, and **Python/Micropython**.
+A step-by-step guide to get started with NATSBridge - a high-performance, bi-directional data bridge for **Julia**.
 
 ## Table of Contents
 
@@ -10,13 +10,12 @@ A step-by-step guide to get started with NATSBridge - a high-performance, bi-dir
 4. [Quick Start](#quick-start)
 5. [Basic Examples](#basic-examples)
 6. [Advanced Usage](#advanced-usage)
-7. [Cross-Platform Communication](#cross-platform-communication)
 
 ---
 
 ## Overview
 
-NATSBridge enables seamless communication between Julia, JavaScript, and Python/Micropython applications through NATS, with automatic transport selection based on payload size:
+NATSBridge enables seamless communication for Julia applications 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
@@ -41,7 +40,7 @@ Before you begin, ensure you have:
 
 1. **NATS Server** running (or accessible)
 2. **HTTP File Server** (optional, for large payloads > 1MB)
-3. **One of the supported platforms**: Julia, JavaScript (Node.js), or Python/Micropython
+3. **Julia** with required packages
 
 ---
 
@@ -59,27 +58,6 @@ Pkg.add("UUIDs")
 Pkg.add("Dates")
 ```
 
-### JavaScript
-
-```bash
-npm install nats.js apache-arrow uuid base64-url
-```
-
-### Python/Micropython
-
-1. Copy `src/nats_bridge.py` to your device
-2. Install dependencies:
-
-**For Python (desktop):**
-```bash
-pip install nats-py
-```
-
-**For Micropython:**
-- `urequests` for HTTP requests
-- `base64` for base64 encoding (built-in)
-- `json` for JSON handling (built-in)
-
 ---
 
 ## Quick Start
@@ -96,36 +74,12 @@ docker run -p 4222:4222 nats:latest
 # Create a directory for file uploads
 mkdir -p /tmp/fileserver
 
-# Use Python's built-in server
+# Use any HTTP server that supports POST for file uploads
 python3 -m http.server 8080 --directory /tmp/fileserver
 ```
 
 ### Step 3: Send Your First Message
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Send a text message
-data = [("message", "Hello World", "text")]
-env = smartsend("/chat/room1", data, nats_url="nats://localhost:4222")
-print("Message sent!")
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-// Send a text message
-await smartsend("/chat/room1", [
-    { dataname: "message", data: "Hello World", type: "text" }
-], { natsUrl: "nats://localhost:4222" });
-
-console.log("Message sent!");
-```
-
 #### Julia
 
 ```julia
@@ -133,43 +87,27 @@ using NATSBridge
 
 # Send a text message
 data = [("message", "Hello World", "text")]
-env = smartsend("/chat/room1", data, nats_url="nats://localhost:4222")
+env, env_json_str = smartsend("/chat/room1", data, broker_url="nats://localhost:4222")
+# env: msg_envelope_v1 object 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 object
+# env_json_str: JSON string for publishing to NATS
 ```
 
 ### Step 4: Receive Messages
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartreceive
-
-# Receive and process message
-envelope = smartreceive(msg)
-for dataname, data, type in envelope["payloads"]:
-    print(f"Received {dataname}: {data}")
-```
-
-#### JavaScript
-
-```javascript
-const { smartreceive } = require('./src/NATSBridge');
-
-// Receive and process message
-const envelope = await smartreceive(msg);
-for (const payload of envelope.payloads) {
-    console.log(`Received ${payload.dataname}: ${payload.data}`);
-}
-```
-
 #### Julia
 
 ```julia
 using NATSBridge
 
 # Receive and process message
-envelope = smartreceive(msg, fileserverDownloadHandler)
+env = smartreceive(msg; fileserver_download_handler=_fetch_with_backoff)
-for (dataname, data, type) in envelope["payloads"]
+for (dataname, data, type) in env["payloads"]
     println("Received $dataname: $data")
 end
 ```
@@ -180,39 +118,6 @@ end
 
 ### Example 1: Sending a Dictionary
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Create configuration dictionary
-config = {
-    "wifi_ssid": "MyNetwork",
-    "wifi_password": "password123",
-    "update_interval": 60
-}
-
-# Send as dictionary type
-data = [("config", config, "dictionary")]
-env = smartsend("/device/config", data, nats_url="nats://localhost:4222")
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-const config = {
-    wifi_ssid: "MyNetwork",
-    wifi_password: "password123",
-    update_interval: 60
-};
-
-await smartsend("/device/config", [
-    { dataname: "config", data: config, type: "dictionary" }
-]);
-```
-
 #### Julia
 
 ```julia
@@ -225,39 +130,11 @@ config = Dict(
 )
 
 data = [("config", config, "dictionary")]
-smartsend("/device/config", data)
+env, env_json_str = smartsend("/device/config", data, broker_url="nats://localhost:4222")
 ```
 
 ### Example 2: Sending Binary Data (Image)
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Read image file
-with open("image.png", "rb") as f:
-    image_data = f.read()
-
-# Send as binary type
-data = [("user_image", image_data, "binary")]
-env = smartsend("/chat/image", data, nats_url="nats://localhost:4222")
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-// Read image file (Node.js)
-const fs = require('fs');
-const image_data = fs.readFileSync('image.png');
-
-await smartsend("/chat/image", [
-    { dataname: "user_image", data: image_data, type: "binary" }
-]);
-```
-
 #### Julia
 
 ```julia
@@ -267,61 +144,62 @@ using NATSBridge
 image_data = read("image.png")
 
 data = [("user_image", image_data, "binary")]
-smartsend("/chat/image", data)
+env, env_json_str = smartsend("/chat/image", data, broker_url="nats://localhost:4222")
 ```
 
 ### Example 3: Request-Response Pattern
 
-#### Python/Micropython (Requester)
+#### Julia (Requester)
 
-```python
+```julia
-from nats_bridge import smartsend
+using NATSBridge
 
 # Send command with reply-to
-data = [("command", {"action": "read_sensor"}, "dictionary")]
+data = [("command", Dict("action" => "read_sensor"), "dictionary")]
-env = smartsend(
+env, env_json_str = smartsend(
     "/device/command",
     data,
-    nats_url="nats://localhost:4222",
+    broker_url="nats://localhost:4222",
     reply_to="/device/response",
     reply_to_msg_id="cmd-001"
 )
+# env: msg_envelope_v1 object
+# env_json_str: JSON string for publishing to NATS
 ```
 
-#### JavaScript (Responder)
+#### Julia (Responder)
 
-```javascript
+```julia
-const { smartreceive, smartsend } = require('./src/NATSBridge');
+using NATS, NATSBridge
 
-// Subscribe to command topic
+# Configuration
-const sub = nc.subscribe("/device/command");
+const SUBJECT = "/device/command"
+const NATS_URL = "nats://localhost:4222"
 
-for await (const msg of sub) {
+function test_responder()
-    const envelope = await smartreceive(msg);
+    conn = NATS.connect(NATS_URL)
+    NATS.subscribe(conn, SUBJECT) do msg
+        env = smartreceive(msg, fileserver_download_handler=_fetch_with_backoff)
+        
+        # Extract reply_to from the envelope metadata
+        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)
+                # Send response to the reply_to subject from the request
+                if !isempty(reply_to)
+                    smartsend(reply_to, [("data", response, "dictionary")])
+                end
+            end
+        end
+    end
     
-    // Process command
+    sleep(120)
-    for (const payload of envelope.payloads) {
+    NATS.drain(conn)
-        if (payload.dataname === "command") {
+end
-            const command = payload.data;
+
-            
+test_responder()
-            if (command.action === "read_sensor") {
-                // Read sensor and send response
-                const response = {
-                    sensor_id: "sensor-001",
-                    value: 42.5,
-                    timestamp: new Date().toISOString()
-                };
-                
-                await smartsend("/device/response", [
-                    { dataname: "sensor_data", data: response, type: "dictionary" }
-                ], {
-                    reply_to: envelope.replyTo,
-                    reply_to_msg_id: envelope.msgId
-                });
-            }
-        }
-    }
-}
 ```
 
 ---
@@ -332,46 +210,6 @@ for await (const msg of sub) {
 
 For payloads larger than 1MB, NATSBridge automatically uses the file server:
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-import os
-
-# Create large data (> 1MB)
-large_data = os.urandom(2_000_000)  # 2MB of random data
-
-# Send with file server URL
-env = smartsend(
-    "/data/large",
-    [("large_file", large_data, "binary")],
-    nats_url="nats://localhost:4222",
-    fileserver_url="http://localhost:8080",
-    size_threshold=1_000_000
-)
-
-# The envelope will contain the download URL
-print(f"File uploaded to: {env.payloads[0].data}")
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-// Create large data (> 1MB)
-const largeData = new ArrayBuffer(2_000_000);
-const view = new Uint8Array(largeData);
-view.fill(42);  // Fill with some data
-
-await smartsend("/data/large", [
-    { dataname: "large_file", data: largeData, type: "binary" }
-], {
-    fileserverUrl: "http://localhost:8080",
-    sizeThreshold: 1_000_000
-});
-```
-
 #### Julia
 
 ```julia
@@ -380,9 +218,10 @@ using NATSBridge
 # Create large data (> 1MB)
 large_data = rand(UInt8, 2_000_000)
 
-env = smartsend(
+env, env_json_str = smartsend(
     "/data/large",
     [("large_file", large_data, "binary")],
+    broker_url="nats://localhost:4222",
     fileserver_url="http://localhost:8080"
 )
 
@@ -394,45 +233,6 @@ println("File uploaded to: $(env.payloads[1].data)")
 
 NATSBridge supports sending multiple payloads with different types in a single message:
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Read image file
-with open("avatar.png", "rb") as f:
-    image_data = f.read()
-
-# Send mixed content
-data = [
-    ("message_text", "Hello with image!", "text"),
-    ("user_avatar", image_data, "image")
-]
-
-env = smartsend("/chat/mixed", data, nats_url="nats://localhost:4222")
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-const fs = require('fs');
-
-await smartsend("/chat/mixed", [
-    {
-        dataname: "message_text",
-        data: "Hello with image!",
-        type: "text"
-    },
-    {
-        dataname: "user_avatar",
-        data: fs.readFileSync("avatar.png"),
-        type: "image"
-    }
-]);
-```
-
 #### Julia
 
 ```julia
@@ -445,31 +245,13 @@ data = [
     ("user_avatar", image_data, "image")
 ]
 
-smartsend("/chat/mixed", data)
+env, env_json_str = smartsend("/chat/mixed", data, broker_url="nats://localhost:4222")
 ```
 
 ### Example 6: Table Data (Arrow IPC)
 
 For tabular data, NATSBridge uses Apache Arrow IPC format:
 
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-import pandas as pd
-
-# Create DataFrame
-df = pd.DataFrame({
-    "id": [1, 2, 3],
-    "name": ["Alice", "Bob", "Charlie"],
-    "score": [95, 88, 92]
-})
-
-# Send as table type
-data = [("students", df, "table")]
-env = smartsend("/data/students", data, nats_url="nats://localhost:4222")
-```
-
 #### Julia
 
 ```julia
@@ -484,88 +266,7 @@ df = DataFrame(
 )
 
 data = [("students", df, "table")]
-smartsend("/data/students", data)
+env, env_json_str = smartsend("/data/students", data, broker_url="nats://localhost:4222")
-```
-
----
-
-## Cross-Platform Communication
-
-NATSBridge enables seamless communication between different platforms:
-
-### Julia ↔ JavaScript
-
-#### Julia Sender
-
-```julia
-using NATSBridge
-
-# Send dictionary from Julia to JavaScript
-config = Dict("step_size" => 0.01, "iterations" => 1000)
-data = [("config", config, "dictionary")]
-smartsend("/analysis/config", data, nats_url="nats://localhost:4222")
-```
-
-#### JavaScript Receiver
-
-```javascript
-const { smartreceive } = require('./src/NATSBridge');
-
-// Receive dictionary from Julia
-const envelope = await smartreceive(msg);
-for (const payload of envelope.payloads) {
-    if (payload.type === "dictionary") {
-        console.log("Received config:", payload.data);
-        // payload.data = { step_size: 0.01, iterations: 1000 }
-    }
-}
-```
-
-### JavaScript ↔ Python
-
-#### JavaScript Sender
-
-```javascript
-const { smartsend } = require('./src/NATSBridge');
-
-await smartsend("/data/transfer", [
-    { dataname: "message", data: "Hello from JS!", type: "text" }
-]);
-```
-
-#### Python Receiver
-
-```python
-from nats_bridge import smartreceive
-
-envelope = smartreceive(msg)
-for dataname, data, type in envelope["payloads"]:
-    if type == "text":
-        print(f"Received from JS: {data}")
-```
-
-### Python ↔ Julia
-
-#### Python Sender
-
-```python
-from nats_bridge import smartsend
-
-data = [("message", "Hello from Python!", "text")]
-smartsend("/chat/python", data)
-```
-
-#### Julia Receiver
-
-```julia
-using NATSBridge
-
-envelope = smartreceive(msg, fileserverDownloadHandler)
-for (dataname, data, type) in envelope["payloads"]
-    if type == "text"
-        println("Received from Python: $data")
-    end
-end
 ```
 
 ---
@@ -574,7 +275,6 @@ end
 
 1. **Explore the test directory** for more examples
 2. **Check the documentation** for advanced configuration options
-3. **Join the community** to share your use cases
 
 ---
 
@@ -595,7 +295,7 @@ end
 ### Serialization Errors
 
 - Verify data type matches the specified type
-- Check that binary data is in the correct format (bytes/Vector{UInt8})
+- Check that binary data is in the correct format (Vector{UInt8})
 
 ---
 

plik_fileserver/docker-compose.yml

@@ -0,0 +1,14 @@
+services:
+  plik:
+    image: rootgg/plik:latest
+    container_name: plik-server
+    restart: unless-stopped
+    ports:
+      - "8080:8080"
+    volumes:
+      # # Mount the config file (created below)
+      # - ./plikd.cfg:/home/plik/server/plikd.cfg
+      # Mount local folder for uploads and database
+      - ./plik-data:/data
+    # Set user to match your host UID to avoid permission issues
+    user: "1000:1000"

src/NATSBridge.js

@@ -1,709 +0,0 @@
-/**
- * NATSBridge.js - Bi-Directional Data Bridge for JavaScript
- * Implements smartsend and smartreceive for NATS communication
- * 
- * 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
- * URL-based transport for larger payloads.
- * 
- * File Server Handler Architecture:
- * The system uses handler functions to abstract file server operations, allowing support
- * for different file server implementations (e.g., Plik, AWS S3, custom HTTP server).
- * 
- * Handler Function Signatures:
- * 
- * ```javascript
- * // Upload handler - uploads data to file server and returns URL
- * // The handler is passed to smartsend as fileserverUploadHandler parameter
- * // It receives: (fileserver_url, dataname, data)
- * // Returns: { status, uploadid, fileid, url }
- * async function fileserverUploadHandler(fileserver_url, dataname, data) { ... }
- * 
- * // Download handler - fetches data from file server URL with exponential backoff
- * // The handler is passed to smartreceive as fileserverDownloadHandler parameter
- * // It receives: (url, max_retries, base_delay, max_delay, correlation_id)
- * // Returns: ArrayBuffer (the downloaded data)
- * async function fileserverDownloadHandler(url, max_retries, base_delay, max_delay, correlation_id) { ... }
- * ```
- * 
- * Multi-Payload Support (Standard API):
- * The system uses a standardized list-of-tuples format for all payload operations.
- * Even when sending a single payload, the user must wrap it in a list.
- * 
- * API Standard:
- * ```javascript
- * // Input format for smartsend (always a list of tuples with type info)
- * [{ dataname, data, type }, ...]
- * 
- * // Output format for smartreceive (always returns a list of tuples)
- * [{ dataname, data, type }, ...]
- * ```
- * 
- * Supported types: "text", "dictionary", "table", "image", "audio", "video", "binary"
- */
-
-// ---------------------------------------------- 100 --------------------------------------------- #
-
-// Constants
-const DEFAULT_SIZE_THRESHOLD = 1_000_000;  // 1MB - threshold for switching from direct to link transport
-const DEFAULT_NATS_URL = "nats://localhost:4222";  // Default NATS server URL
-const DEFAULT_FILESERVER_URL = "http://localhost:8080";  // Default HTTP file server URL for link transport
-
-// Helper: Generate UUID v4
-function uuid4() {
-    // Simple UUID v4 generator
-    return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
-        var r = Math.random() * 16 | 0, v = c == 'x' ? r : (r & 0x3 | 0x8);
-        return v.toString(16);
-    });
-}
-
-// Helper: Log with correlation ID and timestamp
-function log_trace(correlation_id, message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// Helper: Get size of data in bytes
-function getDataSize(data) {
-    if (typeof data === 'string') {
-        return new TextEncoder().encode(data).length;
-    } else if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-        return data.byteLength;
-    } else if (typeof data === 'object' && data !== null) {
-        // For objects, serialize to JSON and measure
-        return new TextEncoder().encode(JSON.stringify(data)).length;
-    }
-    return 0;
-}
-
-// Helper: Convert ArrayBuffer to Base64 string
-function arrayBufferToBase64(buffer) {
-    const bytes = new Uint8Array(buffer);
-    let binary = '';
-    for (let i = 0; i < bytes.length; i++) {
-        binary += String.fromCharCode(bytes[i]);
-    }
-    return btoa(binary);
-}
-
-// Helper: Convert Base64 string to ArrayBuffer
-function base64ToArrayBuffer(base64) {
-    const binaryString = atob(base64);
-    const len = binaryString.length;
-    const bytes = new Uint8Array(len);
-    for (let i = 0; i < len; i++) {
-        bytes[i] = binaryString.charCodeAt(i);
-    }
-    return bytes.buffer;
-}
-
-// Helper: Serialize data based on type
-function _serialize_data(data, type) {
-    /**
-     * Serialize data according to specified format
-     * 
-     * Supported formats:
-     * - "text": Treats data as text and converts to UTF-8 bytes
-     * - "dictionary": Serializes data as JSON and returns the UTF-8 byte representation
-     * - "table": Serializes data as an Arrow IPC stream (table format) - NOT IMPLEMENTED (requires arrow library)
-     * - "image": Expects binary data (ArrayBuffer) and returns it as bytes
-     * - "audio": Expects binary data (ArrayBuffer) and returns it as bytes
-     * - "video": Expects binary data (ArrayBuffer) and returns it as bytes
-     * - "binary": Generic binary data (ArrayBuffer or Uint8Array) and returns bytes
-     */
-    if (type === "text") {
-        if (typeof data === 'string') {
-            return new TextEncoder().encode(data).buffer;
-        } else {
-            throw new Error("Text data must be a String");
-        }
-    } else if (type === "dictionary") {
-        // JSON data - serialize directly
-        const jsonStr = JSON.stringify(data);
-        return new TextEncoder().encode(jsonStr).buffer;
-    } else if (type === "table") {
-        // Table data - convert to Arrow IPC stream (NOT IMPLEMENTED in pure JavaScript)
-        // This would require the apache-arrow library
-        throw new Error("Table serialization requires apache-arrow library");
-    } else if (type === "image") {
-        if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-            return data instanceof ArrayBuffer ? data : data.buffer;
-        } else {
-            throw new Error("Image data must be ArrayBuffer or Uint8Array");
-        }
-    } else if (type === "audio") {
-        if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-            return data instanceof ArrayBuffer ? data : data.buffer;
-        } else {
-            throw new Error("Audio data must be ArrayBuffer or Uint8Array");
-        }
-    } else if (type === "video") {
-        if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-            return data instanceof ArrayBuffer ? data : data.buffer;
-        } else {
-            throw new Error("Video data must be ArrayBuffer or Uint8Array");
-        }
-    } else if (type === "binary") {
-        if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-            return data instanceof ArrayBuffer ? data : data.buffer;
-        } else {
-            throw new Error("Binary data must be ArrayBuffer or Uint8Array");
-        }
-    } else {
-        throw new Error(`Unknown type: ${type}`);
-    }
-}
-
-// Helper: Deserialize bytes based on type
-function _deserialize_data(data, type, correlation_id) {
-    /**
-     * Deserialize bytes to data based on type
-     * 
-     * Supported formats:
-     * - "text": Converts bytes to string
-     * - "dictionary": Parses JSON string
-     * - "table": Parses Arrow IPC stream - NOT IMPLEMENTED (requires apache-arrow library)
-     * - "image": Returns binary data
-     * - "audio": Returns binary data
-     * - "video": Returns binary data
-     * - "binary": Returns binary data
-     */
-    if (type === "text") {
-        const decoder = new TextDecoder();
-        return decoder.decode(new Uint8Array(data));
-    } else if (type === "dictionary") {
-        const decoder = new TextDecoder();
-        const jsonStr = decoder.decode(new Uint8Array(data));
-        return JSON.parse(jsonStr);
-    } else if (type === "table") {
-        // Table data - deserialize Arrow IPC stream (NOT IMPLEMENTED in pure JavaScript)
-        throw new Error("Table deserialization requires apache-arrow library");
-    } else if (type === "image") {
-        return data;
-    } else if (type === "audio") {
-        return data;
-    } else if (type === "video") {
-        return data;
-    } else if (type === "binary") {
-        return data;
-    } else {
-        throw new Error(`Unknown type: ${type}`);
-    }
-}
-
-// Helper: Upload data to file server
-async function _upload_to_fileserver(fileserver_url, dataname, data, correlation_id) {
-    /**
-     * Upload data to HTTP file server (plik-like API)
-     * 
-     * This function implements the plik one-shot upload mode:
-     * 1. Creates a one-shot upload session by sending POST request with {"OneShot": true}
-     * 2. Uploads the file data as multipart form data
-     * 3. Returns identifiers and download URL for the uploaded file
-     */
-    log_trace(correlation_id, `Uploading ${dataname} to fileserver: ${fileserver_url}`);
-    
-    // Step 1: Get upload ID and token
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Step 2: Upload file data
-    const url_upload = `${fileserver_url}/file/${uploadid}`;
-    
-    // Create multipart form data
-    const formData = new FormData();
-    // Create a Blob from the ArrayBuffer
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(url_upload, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    // Build the download URL
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    log_trace(correlation_id, `Uploaded to URL: ${url}`);
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Helper: Fetch data from URL with exponential backoff
-async function _fetch_with_backoff(url, max_retries, base_delay, max_delay, correlation_id) {
-    /**
-     * Fetch data from URL with retry logic using exponential backoff
-     */
-    let delay = base_delay;
-    
-    for (let attempt = 1; attempt <= max_retries; attempt++) {
-        try {
-            const response = await fetch(url);
-            
-            if (response.status === 200) {
-                log_trace(correlation_id, `Successfully fetched data from ${url} on attempt ${attempt}`);
-                const arrayBuffer = await response.arrayBuffer();
-                return arrayBuffer;
-            } else {
-                throw new Error(`Failed to fetch: ${response.status} ${response.statusText}`);
-            }
-        } catch (e) {
-            log_trace(correlation_id, `Attempt ${attempt} failed: ${e.message}`);
-            
-            if (attempt < max_retries) {
-                // Sleep with exponential backoff
-                await new Promise(resolve => setTimeout(resolve, delay));
-                delay = Math.min(delay * 2, max_delay);
-            }
-        }
-    }
-    
-    throw new Error(`Failed to fetch data after ${max_retries} attempts`);
-}
-
-// Helper: Get payload bytes from data
-function _get_payload_bytes(data) {
-    if (data instanceof ArrayBuffer || data instanceof Uint8Array) {
-        return data instanceof ArrayBuffer ? new Uint8Array(data) : data;
-    } else if (typeof data === 'string') {
-        return new TextEncoder().encode(data);
-    } else {
-        // For objects, serialize to JSON
-        return new TextEncoder().encode(JSON.stringify(data));
-    }
-}
-
-// MessagePayload class
-class MessagePayload {
-    /**
-     * Represents a single payload in the message envelope
-     * 
-     * @param {Object} options - Payload options
-     * @param {string} options.id - ID of this payload (e.g., "uuid4")
-     * @param {string} options.dataname - Name of this payload (e.g., "login_image")
-     * @param {string} options.type - Payload type: "text", "dictionary", "table", "image", "audio", "video", "binary"
-     * @param {string} options.transport - "direct" or "link"
-     * @param {string} options.encoding - "none", "json", "base64", "arrow-ipc"
-     * @param {number} options.size - Data size in bytes
-     * @param {string|ArrayBuffer} options.data - Payload data (direct) or URL (link)
-     * @param {Object} options.metadata - Metadata for this payload
-     */
-    constructor(options) {
-        this.id = options.id || uuid4();
-        this.dataname = options.dataname;
-        this.type = options.type;
-        this.transport = options.transport;
-        this.encoding = options.encoding;
-        this.size = options.size;
-        this.data = options.data;
-        this.metadata = options.metadata || {};
-    }
-    
-    // Convert to JSON object
-    toJSON() {
-        const obj = {
-            id: this.id,
-            dataname: this.dataname,
-            type: this.type,
-            transport: this.transport,
-            encoding: this.encoding,
-            size: this.size
-        };
-        
-        // Include data based on transport type
-        if (this.transport === "direct" && this.data !== null) {
-            if (this.encoding === "base64" || this.encoding === "json") {
-                obj.data = this.data;
-            } else {
-                // For other encodings, use base64
-                const payloadBytes = _get_payload_bytes(this.data);
-                obj.data = arrayBufferToBase64(payloadBytes);
-            }
-        } else if (this.transport === "link" && this.data !== null) {
-            // For link transport, data is a URL string
-            obj.data = this.data;
-        }
-        
-        if (Object.keys(this.metadata).length > 0) {
-            obj.metadata = this.metadata;
-        }
-        
-        return obj;
-    }
-}
-
-// MessageEnvelope class
-class MessageEnvelope {
-    /**
-     * Represents the message envelope containing metadata and payloads
-     * 
-     * @param {Object} options - Envelope options
-     * @param {string} options.sendTo - Topic/subject the sender sends to
-     * @param {Array<MessagePayload>} options.payloads - Array of payloads
-     * @param {string} options.correlationId - Unique identifier to track messages
-     * @param {string} options.msgId - This message id
-     * @param {string} options.timestamp - Message published timestamp
-     * @param {string} options.msgPurpose - Purpose of this message
-     * @param {string} options.senderName - Name of the sender
-     * @param {string} options.senderId - UUID of the sender
-     * @param {string} options.receiverName - Name of the receiver
-     * @param {string} options.receiverId - UUID of the receiver
-     * @param {string} options.replyTo - Topic to reply to
-     * @param {string} options.replyToMsgId - Message id this message is replying to
-     * @param {string} options.brokerURL - NATS server address
-     * @param {Object} options.metadata - Metadata for the envelope
-     */
-    constructor(options) {
-        this.correlationId = options.correlationId || uuid4();
-        this.msgId = options.msgId || uuid4();
-        this.timestamp = options.timestamp || new Date().toISOString();
-        this.sendTo = options.sendTo;
-        this.msgPurpose = options.msgPurpose || "";
-        this.senderName = options.senderName || "";
-        this.senderId = options.senderId || uuid4();
-        this.receiverName = options.receiverName || "";
-        this.receiverId = options.receiverId || "";
-        this.replyTo = options.replyTo || "";
-        this.replyToMsgId = options.replyToMsgId || "";
-        this.brokerURL = options.brokerURL || DEFAULT_NATS_URL;
-        this.metadata = options.metadata || {};
-        this.payloads = options.payloads || [];
-    }
-    
-    // Convert to JSON string
-    toJSON() {
-        const obj = {
-            correlationId: this.correlationId,
-            msgId: this.msgId,
-            timestamp: this.timestamp,
-            sendTo: this.sendTo,
-            msgPurpose: this.msgPurpose,
-            senderName: this.senderName,
-            senderId: this.senderId,
-            receiverName: this.receiverName,
-            receiverId: this.receiverId,
-            replyTo: this.replyTo,
-            replyToMsgId: this.replyToMsgId,
-            brokerURL: this.brokerURL
-        };
-        
-        if (Object.keys(this.metadata).length > 0) {
-            obj.metadata = this.metadata;
-        }
-        
-        if (this.payloads.length > 0) {
-            obj.payloads = this.payloads.map(p => p.toJSON());
-        }
-        
-        return obj;
-    }
-    
-    // Convert to JSON string
-    toString() {
-        return JSON.stringify(this.toJSON());
-    }
-}
-
-// SmartSend function
-async function smartsend(subject, data, options = {}) {
-    /**
-     * Send data either directly via NATS or via a fileserver URL, depending on payload size
-     * 
-     * This function intelligently routes data delivery based on payload size relative to a threshold.
-     * If the serialized payload is smaller than `size_threshold`, it encodes the data as Base64 and publishes directly over NATS.
-     * Otherwise, it uploads the data to a fileserver and publishes only the download URL over NATS.
-     * 
-     * @param {string} subject - NATS subject to publish the message to
-     * @param {Array} data - List of {dataname, data, type} objects to send
-     * @param {Object} options - Additional options
-     * @param {string} options.natsUrl - URL of the NATS server (default: "nats://localhost:4222")
-     * @param {string} options.fileserverUrl - Base URL of the file server (default: "http://localhost:8080")
-     * @param {Function} options.fileserverUploadHandler - Function to handle fileserver uploads
-     * @param {number} options.sizeThreshold - Threshold in bytes separating direct vs link transport (default: 1MB)
-     * @param {string} options.correlationId - Optional correlation ID for tracing
-     * @param {string} options.msgPurpose - Purpose of the message (default: "chat")
-     * @param {string} options.senderName - Name of the sender (default: "NATSBridge")
-     * @param {string} options.receiverName - Name of the receiver (default: "")
-     * @param {string} options.receiverId - UUID of the receiver (default: "")
-     * @param {string} options.replyTo - Topic to reply to (default: "")
-     * @param {string} options.replyToMsgId - Message ID this message is replying to (default: "")
-     * 
-     * @returns {Promise<MessageEnvelope>} - The envelope for tracking
-     */
-    const {
-        natsUrl = DEFAULT_NATS_URL,
-        fileserverUrl = DEFAULT_FILESERVER_URL,
-        fileserverUploadHandler = _upload_to_fileserver,
-        sizeThreshold = DEFAULT_SIZE_THRESHOLD,
-        correlationId = uuid4(),
-        msgPurpose = "chat",
-        senderName = "NATSBridge",
-        receiverName = "",
-        receiverId = "",
-        replyTo = "",
-        replyToMsgId = ""
-    } = options;
-    
-    log_trace(correlationId, `Starting smartsend for subject: ${subject}`);
-    
-    // Generate message metadata
-    const msgId = uuid4();
-    
-    // Process each payload in the list
-    const payloads = [];
-    
-    for (const payload of data) {
-        const dataname = payload.dataname;
-        const payloadData = payload.data;
-        const payloadType = payload.type;
-        
-        // Serialize data based on type
-        const payloadBytes = _serialize_data(payloadData, payloadType);
-        const payloadSize = payloadBytes.byteLength;
-        
-        log_trace(correlationId, `Serialized payload '${dataname}' (type: ${payloadType}) size: ${payloadSize} bytes`);
-        
-        // Decision: Direct vs Link
-        if (payloadSize < sizeThreshold) {
-            // Direct path - Base64 encode and send via NATS
-            const payloadB64 = arrayBufferToBase64(payloadBytes);
-            log_trace(correlationId, `Using direct transport for ${payloadSize} bytes`);
-            
-            // Create MessagePayload for direct transport
-            const payloadObj = new MessagePayload({
-                dataname: dataname,
-                type: payloadType,
-                transport: "direct",
-                encoding: "base64",
-                size: payloadSize,
-                data: payloadB64,
-                metadata: { payload_bytes: payloadSize }
-            });
-            payloads.push(payloadObj);
-        } else {
-            // Link path - Upload to HTTP server, send URL via NATS
-            log_trace(correlationId, `Using link transport, uploading to fileserver`);
-            
-            // Upload to HTTP server
-            const response = await fileserverUploadHandler(fileserverUrl, dataname, payloadBytes, correlationId);
-            
-            if (response.status !== 200) {
-                throw new Error(`Failed to upload data to fileserver: ${response.status}`);
-            }
-            
-            const url = response.url;
-            log_trace(correlationId, `Uploaded to URL: ${url}`);
-            
-            // Create MessagePayload for link transport
-            const payloadObj = new MessagePayload({
-                dataname: dataname,
-                type: payloadType,
-                transport: "link",
-                encoding: "none",
-                size: payloadSize,
-                data: url,
-                metadata: {}
-            });
-            payloads.push(payloadObj);
-        }
-    }
-    
-    // Create MessageEnvelope with all payloads
-    const env = new MessageEnvelope({
-        correlationId: correlationId,
-        msgId: msgId,
-        sendTo: subject,
-        msgPurpose: msgPurpose,
-        senderName: senderName,
-        receiverName: receiverName,
-        receiverId: receiverId,
-        replyTo: replyTo,
-        replyToMsgId: replyToMsgId,
-        brokerURL: natsUrl,
-        payloads: payloads
-    });
-    
-    // Publish message to NATS
-    await publish_message(natsUrl, subject, env.toString(), correlationId);
-    
-    return env;
-}
-
-// Helper: Publish message to NATS
-async function publish_message(natsUrl, subject, message, correlation_id) {
-    /**
-     * Publish a message to a NATS subject with proper connection management
-     * 
-     * @param {string} natsUrl - NATS server URL
-     * @param {string} subject - NATS subject to publish to
-     * @param {string} message - JSON message to publish
-     * @param {string} correlation_id - Correlation ID for logging
-     */
-    log_trace(correlation_id, `Publishing message to ${subject}`);
-    
-    // For Node.js, we would use nats.js library
-    // This is a placeholder that throws an error
-    // In production, you would import and use the actual nats library
-    
-    // Example with nats.js:
-    // import { connect } from 'nats';
-    // const nc = await connect({ servers: [natsUrl] });
-    // await nc.publish(subject, message);
-    // nc.close();
-    
-    // For now, just log the message
-    console.log(`[NATS PUBLISH] Subject: ${subject}, Message: ${message.substring(0, 100)}...`);
-}
-
-// SmartReceive function
-async function smartreceive(msg, options = {}) {
-    /**
-     * Receive and process messages from NATS
-     * 
-     * This function processes incoming NATS messages, handling both direct transport
-     * (base64 decoded payloads) and link transport (URL-based payloads).
-     * 
-     * @param {Object} msg - NATS message object with payload property
-     * @param {Object} options - Additional options
-     * @param {Function} options.fileserverDownloadHandler - Function to handle downloading data from file server URLs
-     * @param {number} options.maxRetries - Maximum retry attempts for fetching URL (default: 5)
-     * @param {number} options.baseDelay - Initial delay for exponential backoff in ms (default: 100)
-     * @param {number} options.maxDelay - Maximum delay for exponential backoff in ms (default: 5000)
-     * 
-     * @returns {Promise<Object>} - Envelope dictionary with metadata and payloads field containing list of {dataname, data, type} objects
-     */
-    const {
-        fileserverDownloadHandler = _fetch_with_backoff,
-        maxRetries = 5,
-        baseDelay = 100,
-        maxDelay = 5000
-    } = options;
-    
-    // Parse the JSON envelope
-    const jsonStr = typeof msg.payload === 'string' ? msg.payload : new TextDecoder().decode(msg.payload);
-    const json_data = JSON.parse(jsonStr);
-    
-    log_trace(json_data.correlationId, `Processing received message`);
-    
-    // Process all payloads in the envelope
-    const payloads_list = [];
-    
-    // Get number of payloads
-    const num_payloads = json_data.payloads ? json_data.payloads.length : 0;
-    
-    for (let i = 0; i < num_payloads; i++) {
-        const payload = json_data.payloads[i];
-        const transport = payload.transport;
-        const dataname = payload.dataname;
-        
-        if (transport === "direct") {
-            // Direct transport - payload is in the message
-            log_trace(json_data.correlationId, `Direct transport - decoding payload '${dataname}'`);
-            
-            // Extract base64 payload from the payload
-            const payload_b64 = payload.data;
-            
-            // Decode Base64 payload
-            const payload_bytes = base64ToArrayBuffer(payload_b64);
-            
-            // Deserialize based on type
-            const data_type = payload.type;
-            const data = _deserialize_data(payload_bytes, data_type, json_data.correlationId);
-            
-            payloads_list.push({ dataname, data, type: data_type });
-        } else if (transport === "link") {
-            // Link transport - payload is at URL
-            const url = payload.data;
-            log_trace(json_data.correlationId, `Link transport - fetching '${dataname}' from URL: ${url}`);
-            
-            // Fetch with exponential backoff using the download handler
-            const downloaded_data = await fileserverDownloadHandler(
-                url, maxRetries, baseDelay, maxDelay, json_data.correlationId
-            );
-            
-            // Deserialize based on type
-            const data_type = payload.type;
-            const data = _deserialize_data(downloaded_data, data_type, json_data.correlationId);
-            
-            payloads_list.push({ dataname, data, type: data_type });
-        } else {
-            throw new Error(`Unknown transport type for payload '${dataname}': ${transport}`);
-        }
-    }
-    
-    // Replace payloads array with the processed list of {dataname, data, type} tuples
-    json_data.payloads = payloads_list;
-    
-    return json_data;
-}
-
-// Export for Node.js
-if (typeof module !== 'undefined' && module.exports) {
-    module.exports = {
-        MessageEnvelope,
-        MessagePayload,
-        smartsend,
-        smartreceive,
-        _serialize_data,
-        _deserialize_data,
-        _fetch_with_backoff,
-        _upload_to_fileserver,
-        DEFAULT_SIZE_THRESHOLD,
-        DEFAULT_NATS_URL,
-        DEFAULT_FILESERVER_URL,
-        uuid4,
-        log_trace
-    };
-}
-
-// Export for browser
-if (typeof window !== 'undefined') {
-    window.NATSBridge = {
-        MessageEnvelope,
-        MessagePayload,
-        smartsend,
-        smartreceive,
-        _serialize_data,
-        _deserialize_data,
-        _fetch_with_backoff,
-        _upload_to_fileserver,
-        DEFAULT_SIZE_THRESHOLD,
-        DEFAULT_NATS_URL,
-        DEFAULT_FILESERVER_URL,
-        uuid4,
-        log_trace
-    };
-}

src/README.md

@@ -1,295 +0,0 @@
-# NATSBridge
-
-A high-performance, bi-directional data bridge for **Julia**, **JavaScript**, and **Python/Micropython** using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
-
-## Overview
-
-NATSBridge enables seamless communication between Julia, JavaScript, and Python/Micropython applications 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
-
-## Features
-
-- ✅ Bi-directional NATS communication across Julia ↔ JavaScript ↔ Python/Micropython
-- ✅ Multi-payload support (mixed content in single message)
-- ✅ Automatic transport selection based on payload size
-- ✅ File server integration for large payloads
-- ✅ Exponential backoff for URL fetching
-- ✅ Correlation ID tracking
-- ✅ Reply-to support for request-response pattern
-
-## Supported Payload Types
-
-| Type | Description |
-|------|-------------|
-| `text` | Plain text strings |
-| `dictionary` | JSON-serializable dictionaries |
-| `table` | Tabular data (Arrow IPC format) |
-| `image` | Image data (PNG, JPG bytes) |
-| `audio` | Audio data (WAV, MP3 bytes) |
-| `video` | Video data (MP4, AVI bytes) |
-| `binary` | Generic binary data |
-
-## Implementation Guides
-
-### [Julia Implementation](../tutorial_julia.md)
-
-See the [Julia tutorial](../tutorial_julia.md) for getting started with Julia.
-
-### [JavaScript Implementation](#javascript-implementation)
-
-See [`NATSBridge.js`](NATSBridge.js) for the JavaScript implementation.
-
-### [Python/Micropython Implementation](#pythonmicropython-implementation)
-
-See [`nats_bridge.py`](nats_bridge.py) for the Python/Micropython implementation.
-
-## Installation
-
-### Julia
-
-```julia
-using Pkg
-Pkg.add("NATS")
-Pkg.add("Arrow")
-Pkg.add("JSON3")
-Pkg.add("HTTP")
-Pkg.add("UUIDs")
-Pkg.add("Dates")
-```
-
-### JavaScript
-
-```bash
-npm install nats.js apache-arrow uuid base64-url
-```
-
-### Python/Micropython
-
-1. Copy `nats_bridge.py` to your device
-2. Ensure you have the following dependencies:
-   - `urequests` for HTTP requests (Micropython)
-   - `requests` for HTTP requests (Python)
-   - `base64` for base64 encoding
-   - `json` for JSON handling
-   - `socket` for networking (Micropython)
-
-## Usage
-
-### Basic Text Message
-
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend, smartreceive
-
-# Sender
-data = [("message", "Hello World", "text")]
-env = smartsend("/chat/room1", data, nats_url="nats://localhost:4222")
-
-# Receiver
-payloads = smartreceive(msg)
-for dataname, data, type in payloads:
-    print("Received {}: {}".format(dataname, data))
-```
-
-#### Julia
-
-```julia
-using NATSBridge
-
-# Sender
-data = [("message", "Hello World", "text")]
-env = smartsend("/chat/room1", data, nats_url="nats://localhost:4222")
-
-# Receiver
-envelope = smartreceive(msg, fileserverDownloadHandler)
-# envelope["payloads"] = [("message", "Hello World", "text"), ...]
-```
-
-#### JavaScript
-
-```javascript
-const { smartsend, smartreceive } = require('./src/NATSBridge');
-
-// Sender
-await smartsend("/chat/room1", [
-    { dataname: "message", data: "Hello World", type: "text" }
-], { natsUrl: "nats://localhost:4222" });
-
-// Receiver
-const envelope = await smartreceive(msg);
-// envelope.payloads = [{ dataname: "message", data: "Hello World", type: "text" }, ...]
-```
-
-### Sending JSON Configuration
-
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-config = {
-    "wifi_ssid": "MyNetwork",
-    "wifi_password": "password123",
-    "update_interval": 60
-}
-
-data = [("config", config, "dictionary")]
-env = smartsend("/device/config", data, nats_url="nats://localhost:4222")
-```
-
-### Mixed Content (Chat with Text + Image)
-
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-image_data = b"\x89PNG..."  # PNG bytes
-
-data = [
-    ("message_text", "Hello with image!", "text"),
-    ("user_avatar", image_data, "binary")
-]
-
-env = smartsend("/chat/mixed", data, nats_url="nats://localhost:4222")
-```
-
-### Request-Response Pattern
-
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Send command with reply-to
-data = [("command", {"action": "read_sensor"}, "dictionary")]
-env = smartsend(
-    "/device/command",
-    data,
-    nats_url="nats://localhost:4222",
-    reply_to="/device/response",
-    reply_to_msg_id="cmd-001"
-)
-```
-
-### Large Payloads (File Server)
-
-#### Python/Micropython
-
-```python
-from nats_bridge import smartsend
-
-# Large data (> 1MB)
-large_data = b"A" * 2000000  # 2MB
-
-env = smartsend(
-    "/data/large",
-    [("large_file", large_data, "binary")],
-    nats_url="nats://localhost:4222",
-    fileserver_url="http://localhost:8080",
-    size_threshold=1000000  # 1MB threshold
-)
-```
-
-## API Reference
-
-### `smartsend(subject, data, ...)`
-
-Send data via NATS with automatic transport selection.
-
-**Arguments:**
-- `subject` (str): NATS subject to publish to
-- `data` (list): List of `(dataname, data, type)` tuples
-- `nats_url` (str): NATS server URL (default: `nats://localhost:4222`)
-- `fileserver_url` (str): HTTP file server URL (default: `http://localhost:8080`)
-- `size_threshold` (int): Threshold in bytes (default: 1,000,000)
-- `correlation_id` (str): Optional correlation ID for tracing
-- `msg_purpose` (str): Message purpose (default: `"chat"`)
-- `sender_name` (str): Sender name (default: `"NATSBridge"`)
-- `receiver_name` (str): Receiver name (default: `""`)
-- `receiver_id` (str): Receiver ID (default: `""`)
-- `reply_to` (str): Reply topic (default: `""`)
-- `reply_to_msg_id` (str): Reply message ID (default: `""`)
-
-**Returns:** `MessageEnvelope` object
-
-### `smartreceive(msg, ...)`
-
-Receive and process NATS messages.
-
-**Arguments:**
-- `msg`: NATS message (dict or JSON string)
-- `fileserver_download_handler` (function): Function to fetch data from URLs
-- `max_retries` (int): Maximum retry attempts (default: 5)
-- `base_delay` (int): Initial delay in ms (default: 100)
-- `max_delay` (int): Maximum delay in ms (default: 5000)
-
-**Returns:** List of `(dataname, data, type)` tuples
-
-### `MessageEnvelope`
-
-Represents a complete NATS message envelope.
-
-**Attributes:**
-- `correlation_id`: Unique identifier for tracing
-- `msg_id`: Unique message identifier
-- `timestamp`: Message publication timestamp
-- `send_to`: NATS subject
-- `msg_purpose`: Message purpose
-- `sender_name`: Sender name
-- `sender_id`: Sender UUID
-- `receiver_name`: Receiver name
-- `receiver_id`: Receiver UUID
-- `reply_to`: Reply topic
-- `reply_to_msg_id`: Reply message ID
-- `broker_url`: NATS broker URL
-- `metadata`: Message-level metadata
-- `payloads`: List of MessagePayload objects
-
-### `MessagePayload`
-
-Represents a single payload within a message envelope.
-
-**Attributes:**
-- `id`: Unique payload identifier
-- `dataname`: Name of the payload
-- `type`: Payload type ("text", "dictionary", etc.)
-- `transport`: Transport method ("direct" or "link")
-- `encoding`: Encoding method ("none", "base64", etc.)
-- `size`: Payload size in bytes
-- `data`: Payload data (bytes for direct, URL for link)
-- `metadata`: Payload-level metadata
-
-## Examples
-
-See [`examples/micropython_example.py`](../examples/micropython_example.py) for more detailed examples.
-
-## Testing
-
-Run the test suite:
-
-```bash
-# Python/Micropython
-python test/test_micropython_basic.py
-
-# JavaScript
-node test/test_js_to_js_text_sender.js
-node test/test_js_to_js_text_receiver.js
-
-# Julia
-julia test/test_julia_to_julia_text_sender.jl
-julia test/test_julia_to_julia_text_receiver.jl
-```
-
-## Requirements
-
-- **Julia**: NATS server (nats.io), HTTP file server (optional)
-- **JavaScript**: NATS server (nats.io), HTTP file server (optional)
-- **Python/Micropython**: NATS server (nats.io), HTTP file server (optional)
-
-## License
-
-MIT

src/nats_bridge.py

@@ -1,667 +0,0 @@
-"""
-Micropython NATS Bridge - Bi-Directional Data Bridge for Micropython
-
-This module provides functionality for sending and receiving data over NATS
-using the Claim-Check pattern for large payloads.
-
-Supported types: "text", "dictionary", "table", "image", "audio", "video", "binary"
-"""
-
-import json
-import random
-import time
-import usocket
-import uselect
-import ustruct
-import uuid
-
-try:
-    import ussl
-    HAS_SSL = True
-except ImportError:
-    HAS_SSL = False
-
-# Constants
-DEFAULT_SIZE_THRESHOLD = 1000000  # 1MB - threshold for switching from direct to link transport
-DEFAULT_NATS_URL = "nats://localhost:4222"
-DEFAULT_FILESERVER_URL = "http://localhost:8080"
-
-# ============================================= 100 ============================================== #
-
-
-class MessagePayload:
-    """Internal message payload structure representing a single payload within a NATS message envelope."""
-    
-    def __init__(self, data, msg_type, id="", dataname="", transport="direct", 
-                 encoding="none", size=0, metadata=None):
-        """
-        Initialize a MessagePayload.
-        
-        Args:
-            data: Payload data (bytes for direct, URL string for link)
-            msg_type: Payload type ("text", "dictionary", "table", "image", "audio", "video", "binary")
-            id: Unique identifier for this payload (auto-generated if empty)
-            dataname: Name of the payload (auto-generated UUID if empty)
-            transport: Transport method ("direct" or "link")
-            encoding: Encoding method ("none", "json", "base64", "arrow-ipc")
-            size: Size of the payload in bytes
-            metadata: Optional metadata dictionary
-        """
-        self.id = id if id else self._generate_uuid()
-        self.dataname = dataname if dataname else self._generate_uuid()
-        self.type = msg_type
-        self.transport = transport
-        self.encoding = encoding
-        self.size = size
-        self.data = data
-        self.metadata = metadata if metadata else {}
-    
-    def _generate_uuid(self):
-        """Generate a UUID string."""
-        return str(uuid.uuid4())
-    
-    def to_dict(self):
-        """Convert payload to dictionary for JSON serialization."""
-        payload_dict = {
-            "id": self.id,
-            "dataname": self.dataname,
-            "type": self.type,
-            "transport": self.transport,
-            "encoding": self.encoding,
-            "size": self.size,
-        }
-        
-        # Include data based on transport type
-        if self.transport == "direct" and self.data is not None:
-            if self.encoding == "base64" or self.encoding == "json":
-                payload_dict["data"] = self.data
-            else:
-                # For other encodings, use base64
-                payload_dict["data"] = self._to_base64(self.data)
-        elif self.transport == "link" and self.data is not None:
-            # For link transport, data is a URL string
-            payload_dict["data"] = self.data
-        
-        if self.metadata:
-            payload_dict["metadata"] = self.metadata
-        
-        return payload_dict
-    
-    def _to_base64(self, data):
-        """Convert bytes to base64 string."""
-        if isinstance(data, bytes):
-            # Simple base64 encoding without library
-            import ubinascii
-            return ubinascii.b2a_base64(data).decode('utf-8').strip()
-        return data
-    
-    def _from_base64(self, data):
-        """Convert base64 string to bytes."""
-        import ubinascii
-        return ubinascii.a2b_base64(data)
-
-
-class MessageEnvelope:
-    """Internal message envelope structure containing multiple payloads with metadata."""
-    
-    def __init__(self, send_to, payloads, correlation_id="", msg_id="", timestamp="",
-                 msg_purpose="", sender_name="", sender_id="", receiver_name="",
-                 receiver_id="", reply_to="", reply_to_msg_id="", broker_url=DEFAULT_NATS_URL,
-                 metadata=None):
-        """
-        Initialize a MessageEnvelope.
-        
-        Args:
-            send_to: NATS subject/topic to publish the message to
-            payloads: List of MessagePayload objects
-            correlation_id: Unique identifier to track messages (auto-generated if empty)
-            msg_id: Unique message identifier (auto-generated if empty)
-            timestamp: Message publication timestamp
-            msg_purpose: Purpose of the message ("ACK", "NACK", "updateStatus", "shutdown", "chat", etc.)
-            sender_name: Name of the sender
-            sender_id: UUID of the sender
-            receiver_name: Name of the receiver (empty means broadcast)
-            receiver_id: UUID of the receiver (empty means broadcast)
-            reply_to: Topic where receiver should reply
-            reply_to_msg_id: Message ID this message is replying to
-            broker_url: NATS broker URL
-            metadata: Optional message-level metadata
-        """
-        self.correlation_id = correlation_id if correlation_id else self._generate_uuid()
-        self.msg_id = msg_id if msg_id else self._generate_uuid()
-        self.timestamp = timestamp if timestamp else self._get_timestamp()
-        self.send_to = send_to
-        self.msg_purpose = msg_purpose
-        self.sender_name = sender_name
-        self.sender_id = sender_id if sender_id else self._generate_uuid()
-        self.receiver_name = receiver_name
-        self.receiver_id = receiver_id if receiver_id else self._generate_uuid()
-        self.reply_to = reply_to
-        self.reply_to_msg_id = reply_to_msg_id
-        self.broker_url = broker_url
-        self.metadata = metadata if metadata else {}
-        self.payloads = payloads
-    
-    def _generate_uuid(self):
-        """Generate a UUID string."""
-        return str(uuid.uuid4())
-    
-    def _get_timestamp(self):
-        """Get current timestamp in ISO format."""
-        # Simplified timestamp - Micropython may not have full datetime
-        return "2026-02-21T" + time.strftime("%H:%M:%S", time.localtime())
-    
-    def to_json(self):
-        """Convert envelope to JSON string."""
-        obj = {
-            "correlationId": self.correlation_id,
-            "msgId": self.msg_id,
-            "timestamp": self.timestamp,
-            "sendTo": self.send_to,
-            "msgPurpose": self.msg_purpose,
-            "senderName": self.sender_name,
-            "senderId": self.sender_id,
-            "receiverName": self.receiver_name,
-            "receiverId": self.receiver_id,
-            "replyTo": self.reply_to,
-            "replyToMsgId": self.reply_to_msg_id,
-            "brokerURL": self.broker_url
-        }
-        
-        # Include metadata if not empty
-        if self.metadata:
-            obj["metadata"] = self.metadata
-        
-        # Convert payloads to JSON array
-        if self.payloads:
-            payloads_json = []
-            for payload in self.payloads:
-                payloads_json.append(payload.to_dict())
-            obj["payloads"] = payloads_json
-        
-        return json.dumps(obj)
-
-
-def log_trace(correlation_id, message):
-    """Log a trace message with correlation ID and timestamp."""
-    timestamp = time.strftime("%Y-%m-%dT%H:%M:%S", time.localtime())
-    print("[{}] [Correlation: {}] {}".format(timestamp, correlation_id, message))
-
-
-def _serialize_data(data, msg_type):
-    """Serialize data according to specified format.
-    
-    Args:
-        data: Data to serialize
-        msg_type: Target format ("text", "dictionary", "table", "image", "audio", "video", "binary")
-    
-    Returns:
-        bytes: Binary representation of the serialized data
-    """
-    if msg_type == "text":
-        if isinstance(data, str):
-            return data.encode('utf-8')
-        else:
-            raise ValueError("Text data must be a string")
-    
-    elif msg_type == "dictionary":
-        if isinstance(data, dict):
-            json_str = json.dumps(data)
-            return json_str.encode('utf-8')
-        else:
-            raise ValueError("Dictionary data must be a dict")
-    
-    elif msg_type in ("image", "audio", "video", "binary"):
-        if isinstance(data, bytes):
-            return data
-        else:
-            raise ValueError("{} data must be bytes".format(msg_type.capitalize()))
-    
-    else:
-        raise ValueError("Unknown type: {}".format(msg_type))
-
-
-def _deserialize_data(data_bytes, msg_type, correlation_id):
-    """Deserialize bytes to data based on type.
-    
-    Args:
-        data_bytes: Serialized data as bytes
-        msg_type: Data type ("text", "dictionary", "table", "image", "audio", "video", "binary")
-        correlation_id: Correlation ID for logging
-    
-    Returns:
-        Deserialized data
-    """
-    if msg_type == "text":
-        return data_bytes.decode('utf-8')
-    
-    elif msg_type == "dictionary":
-        json_str = data_bytes.decode('utf-8')
-        return json.loads(json_str)
-    
-    elif msg_type in ("image", "audio", "video", "binary"):
-        return data_bytes
-    
-    else:
-        raise ValueError("Unknown type: {}".format(msg_type))
-
-
-class NATSConnection:
-    """Simple NATS connection for Micropython."""
-    
-    def __init__(self, url=DEFAULT_NATS_URL):
-        """Initialize NATS connection.
-        
-        Args:
-            url: NATS server URL (e.g., "nats://localhost:4222")
-        """
-        self.url = url
-        self.host = "localhost"
-        self.port = 4222
-        self.conn = None
-        self._parse_url(url)
-    
-    def _parse_url(self, url):
-        """Parse NATS URL to extract host and port."""
-        if url.startswith("nats://"):
-            url = url[7:]
-        elif url.startswith("tls://"):
-            url = url[6:]
-        
-        if ":" in url:
-            self.host, port_str = url.split(":")
-            self.port = int(port_str)
-        else:
-            self.host = url
-    
-    def connect(self):
-        """Connect to NATS server."""
-        addr = usocket.getaddrinfo(self.host, self.port)[0][-1]
-        self.conn = usocket.socket()
-        self.conn.connect(addr)
-        log_trace("", "Connected to NATS server at {}:{}".format(self.host, self.port))
-    
-    def publish(self, subject, message):
-        """Publish a message to a NATS subject.
-        
-        Args:
-            subject: NATS subject to publish to
-            message: Message to publish (should be bytes or string)
-        """
-        if isinstance(message, str):
-            message = message.encode('utf-8')
-        
-        # Simple NATS protocol implementation
-        msg = "PUB {} {}\r\n".format(subject, len(message))
-        msg = msg.encode('utf-8') + message + b"\r\n"
-        self.conn.send(msg)
-        log_trace("", "Message published to {}".format(subject))
-    
-    def subscribe(self, subject, callback):
-        """Subscribe to a NATS subject.
-        
-        Args:
-            subject: NATS subject to subscribe to
-            callback: Callback function to handle incoming messages
-        """
-        log_trace("", "Subscribed to {}".format(subject))
-        # Simplified subscription - in a real implementation, you'd handle SUB/PUB messages
-        # For Micropython, we'll use a simple polling approach
-        self.subscribed_subject = subject
-        self.subscription_callback = callback
-    
-    def wait_message(self, timeout=1000):
-        """Wait for incoming message.
-        
-        Args:
-            timeout: Timeout in milliseconds
-            
-        Returns:
-            NATS message object or None if timeout
-        """
-        # Simplified message reading
-        # In a real implementation, you'd read from the socket
-        # For now, this is a placeholder
-        return None
-    
-    def close(self):
-        """Close the NATS connection."""
-        if self.conn:
-            self.conn.close()
-            self.conn = None
-            log_trace("", "NATS connection closed")
-
-
-def _fetch_with_backoff(url, max_retries=5, base_delay=100, max_delay=5000, correlation_id=""):
-    """Fetch data from URL with exponential backoff.
-    
-    Args:
-        url: URL to fetch from
-        max_retries: Maximum number of retry attempts
-        base_delay: Initial delay in milliseconds
-        max_delay: Maximum delay in milliseconds
-        correlation_id: Correlation ID for logging
-    
-    Returns:
-        bytes: Fetched data
-    
-    Raises:
-        Exception: If all retry attempts fail
-    """
-    delay = base_delay
-    for attempt in range(1, max_retries + 1):
-        try:
-            # Simple HTTP GET request
-            # This is a simplified implementation
-            # For production, you'd want a proper HTTP client
-            import urequests
-            response = urequests.get(url)
-            if response.status_code == 200:
-                log_trace(correlation_id, "Successfully fetched data from {} on attempt {}".format(url, attempt))
-                return response.content
-            else:
-                raise Exception("Failed to fetch: {}".format(response.status_code))
-        except Exception as e:
-            log_trace(correlation_id, "Attempt {} failed: {}".format(attempt, str(e)))
-            if attempt < max_retries:
-                time.sleep(delay / 1000.0)
-                delay = min(delay * 2, max_delay)
-
-
-def plik_oneshot_upload(file_server_url, filename, data):
-    """Upload a single file to a plik server using one-shot mode.
-    
-    Args:
-        file_server_url: Base URL of the plik server
-        filename: Name of the file being uploaded
-        data: Raw byte data of the file content
-    
-    Returns:
-        dict: Dictionary with keys:
-            - "status": HTTP server response status
-            - "uploadid": ID of the one-shot upload session
-            - "fileid": ID of the uploaded file within the session
-            - "url": Full URL to download the uploaded file
-    """
-    import urequests
-    import json
-    
-    # Get upload ID
-    url_get_upload_id = "{}/upload".format(file_server_url)
-    headers = {"Content-Type": "application/json"}
-    body = json.dumps({"OneShot": True})
-    
-    response = urequests.post(url_get_upload_id, headers=headers, data=body)
-    response_json = json.loads(response.content)
-    
-    uploadid = response_json.get("id")
-    uploadtoken = response_json.get("uploadToken")
-    
-    # Upload file
-    url_upload = "{}/file/{}".format(file_server_url, uploadid)
-    headers = {"X-UploadToken": uploadtoken}
-    
-    # For Micropython, we need to construct the multipart form data manually
-    # This is a simplified approach
-    boundary = "----WebKitFormBoundary{}".format(uuid.uuid4().hex[:16])
-    
-    # Create multipart body
-    part1 = "--{}\r\n".format(boundary)
-    part1 += "Content-Disposition: form-data; name=\"file\"; filename=\"{}\"\r\n".format(filename)
-    part1 += "Content-Type: application/octet-stream\r\n\r\n"
-    part1_bytes = part1.encode('utf-8')
-    
-    part2 = "\r\n--{}--".format(boundary)
-    part2_bytes = part2.encode('utf-8')
-    
-    # Combine all parts
-    full_body = part1_bytes + data + part2_bytes
-    
-    # Set content type with boundary
-    content_type = "multipart/form-data; boundary={}".format(boundary)
-    
-    response = urequests.post(url_upload, headers={"Content-Type": content_type}, data=full_body)
-    response_json = json.loads(response.content)
-    
-    fileid = response_json.get("id")
-    url = "{}/file/{}/{}".format(file_server_url, uploadid, filename)
-    
-    return {
-        "status": response.status_code,
-        "uploadid": uploadid,
-        "fileid": fileid,
-        "url": url
-    }
-
-
-def smartsend(subject, data, nats_url=DEFAULT_NATS_URL, fileserver_url=DEFAULT_FILESERVER_URL,
-              fileserver_upload_handler=plik_oneshot_upload, size_threshold=DEFAULT_SIZE_THRESHOLD,
-              correlation_id=None, msg_purpose="chat", sender_name="NATSBridge",
-              receiver_name="", receiver_id="", reply_to="", reply_to_msg_id=""):
-    """Send data either directly via NATS or via a fileserver URL, depending on payload size.
-    
-    This function intelligently routes data delivery based on payload size relative to a threshold.
-    If the serialized payload is smaller than `size_threshold`, it encodes the data as Base64 and 
-    publishes directly over NATS. Otherwise, it uploads the data to a fileserver and publishes 
-    only the download URL over NATS.
-    
-    Args:
-        subject: NATS subject to publish the message to
-        data: List of (dataname, data, type) tuples to send
-        nats_url: URL of the NATS server
-        fileserver_url: URL of the HTTP file server
-        fileserver_upload_handler: Function to handle fileserver uploads
-        size_threshold: Threshold in bytes separating direct vs link transport
-        correlation_id: Optional correlation ID for tracing
-        msg_purpose: Purpose of the message
-        sender_name: Name of the sender
-        receiver_name: Name of the receiver
-        receiver_id: UUID of the receiver
-        reply_to: Topic to reply to
-        reply_to_msg_id: Message ID this message is replying to
-    
-    Returns:
-        MessageEnvelope: The envelope object for tracking
-    """
-    # Generate correlation ID if not provided
-    cid = correlation_id if correlation_id else str(uuid.uuid4())
-    
-    log_trace(cid, "Starting smartsend for subject: {}".format(subject))
-    
-    # Generate message metadata
-    msg_id = str(uuid.uuid4())
-    
-    # Process each payload in the list
-    payloads = []
-    
-    for dataname, payload_data, payload_type in data:
-        # Serialize data based on type
-        payload_bytes = _serialize_data(payload_data, payload_type)
-        
-        payload_size = len(payload_bytes)
-        log_trace(cid, "Serialized payload '{}' (type: {}) size: {} bytes".format(
-            dataname, payload_type, payload_size))
-        
-        # Decision: Direct vs Link
-        if payload_size < size_threshold:
-            # Direct path - Base64 encode and send via NATS
-            payload_b64 = _serialize_data(payload_bytes, "binary")  # Already bytes
-            # Convert to base64 string for JSON
-            import ubinascii
-            payload_b64_str = ubinascii.b2a_base64(payload_bytes).decode('utf-8').strip()
-            
-            log_trace(cid, "Using direct transport for {} bytes".format(payload_size))
-            
-            # Create MessagePayload for direct transport
-            payload = MessagePayload(
-                payload_b64_str,
-                payload_type,
-                id=str(uuid.uuid4()),
-                dataname=dataname,
-                transport="direct",
-                encoding="base64",
-                size=payload_size,
-                metadata={"payload_bytes": payload_size}
-            )
-            payloads.append(payload)
-        else:
-            # Link path - Upload to HTTP server, send URL via NATS
-            log_trace(cid, "Using link transport, uploading to fileserver")
-            
-            # Upload to HTTP server
-            response = fileserver_upload_handler(fileserver_url, dataname, payload_bytes)
-            
-            if response["status"] != 200:
-                raise Exception("Failed to upload data to fileserver: {}".format(response["status"]))
-            
-            url = response["url"]
-            log_trace(cid, "Uploaded to URL: {}".format(url))
-            
-            # Create MessagePayload for link transport
-            payload = MessagePayload(
-                url,
-                payload_type,
-                id=str(uuid.uuid4()),
-                dataname=dataname,
-                transport="link",
-                encoding="none",
-                size=payload_size,
-                metadata={}
-            )
-            payloads.append(payload)
-    
-    # Create MessageEnvelope with all payloads
-    env = MessageEnvelope(
-        subject,
-        payloads,
-        correlation_id=cid,
-        msg_id=msg_id,
-        msg_purpose=msg_purpose,
-        sender_name=sender_name,
-        sender_id=str(uuid.uuid4()),
-        receiver_name=receiver_name,
-        receiver_id=receiver_id,
-        reply_to=reply_to,
-        reply_to_msg_id=reply_to_msg_id,
-        broker_url=nats_url,
-        metadata={}
-    )
-    
-    msg_json = env.to_json()
-    
-    # Publish to NATS
-    nats_conn = NATSConnection(nats_url)
-    nats_conn.connect()
-    nats_conn.publish(subject, msg_json)
-    nats_conn.close()
-    
-    return env
-
-
-def smartreceive(msg, fileserver_download_handler=_fetch_with_backoff, max_retries=5,
-                  base_delay=100, max_delay=5000):
-    """Receive and process messages from NATS.
-    
-    This function processes incoming NATS messages, handling both direct transport
-    (base64 decoded payloads) and link transport (URL-based payloads).
-    
-    Args:
-        msg: NATS message to process (dict with payload data)
-        fileserver_download_handler: Function to handle downloading data from file server URLs
-        max_retries: Maximum retry attempts for fetching URL
-        base_delay: Initial delay for exponential backoff in ms
-        max_delay: Maximum delay for exponential backoff in ms
-    
-    Returns:
-        dict: Envelope dictionary with metadata and 'payloads' field containing list of (dataname, data, type) tuples
-    """
-    # Parse the JSON envelope
-    json_data = msg if isinstance(msg, dict) else json.loads(msg)
-    log_trace(json_data.get("correlationId", ""), "Processing received message")
-    
-    # Process all payloads in the envelope
-    payloads_list = []
-    
-    # Get number of payloads
-    num_payloads = len(json_data.get("payloads", []))
-    
-    for i in range(num_payloads):
-        payload = json_data["payloads"][i]
-        transport = payload.get("transport", "")
-        dataname = payload.get("dataname", "")
-        
-        if transport == "direct":
-            log_trace(json_data.get("correlationId", ""), 
-                     "Direct transport - decoding payload '{}'".format(dataname))
-            
-            # Extract base64 payload from the payload
-            payload_b64 = payload.get("data", "")
-            
-            # Decode Base64 payload
-            import ubinascii
-            payload_bytes = ubinascii.a2b_base64(payload_b64.encode('utf-8'))
-            
-            # Deserialize based on type
-            data_type = payload.get("type", "")
-            data = _deserialize_data(payload_bytes, data_type, json_data.get("correlationId", ""))
-            
-            payloads_list.append((dataname, data, data_type))
-            
-        elif transport == "link":
-            # Extract download URL from the payload
-            url = payload.get("data", "")
-            log_trace(json_data.get("correlationId", ""),
-                      "Link transport - fetching '{}' from URL: {}".format(dataname, url))
-            
-            # Fetch with exponential backoff
-            downloaded_data = fileserver_download_handler(
-                url, max_retries, base_delay, max_delay, json_data.get("correlationId", "")
-            )
-            
-            # Deserialize based on type
-            data_type = payload.get("type", "")
-            data = _deserialize_data(downloaded_data, data_type, json_data.get("correlationId", ""))
-            
-            payloads_list.append((dataname, data, data_type))
-            
-        else:
-            raise ValueError("Unknown transport type for payload '{}': {}".format(dataname, transport))
-    
-    # Replace payloads field with the processed list of (dataname, data, type) tuples
-    json_data["payloads"] = payloads_list
-    
-    return json_data
-
-
-# Utility functions
-def generate_uuid():
-    """Generate a UUID string."""
-    return str(uuid.uuid4())
-
-
-def get_timestamp():
-    """Get current timestamp in ISO format."""
-    return time.strftime("%Y-%m-%dT%H:%M:%S", time.localtime())
-
-
-# Example usage
-if __name__ == "__main__":
-    print("NATSBridge for Micropython")
-    print("=========================")
-    print("This module provides:")
-    print("  - MessageEnvelope: Message envelope structure")
-    print("  - MessagePayload: Payload structure")
-    print("  - smartsend: Send data via NATS with automatic transport selection")
-    print("  - smartreceive: Receive and process messages from NATS")
-    print("  - plik_oneshot_upload: Upload files to HTTP file server")
-    print("  - _fetch_with_backoff: Fetch data from URLs with retry logic")
-    print()
-    print("Usage:")
-    print("  from nats_bridge import smartsend, smartreceive")
-    print("  data = [(\"message\", \"Hello World\", \"text\")]")
-    print("  env = smartsend(\"my.subject\", data)")
-    print()
-    print("  # On receiver:")
-    print("  payloads = smartreceive(msg)")
-    print("  for dataname, data, type in payloads:")
-    print("      print(f\"Received {dataname} of type {type}: {data}\")")

test/test_js_to_js_dict_receiver.js

@@ -1,80 +0,0 @@
-#!/usr/bin/env node
-// Test script for Dictionary transport testing
-// Tests receiving 1 large and 1 small Dictionaries via direct and link transport
-// Uses NATSBridge.js smartreceive with "dictionary" type
-
-const { smartreceive, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_dict_test";
-const NATS_URL = "nats.yiem.cc";
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] ${message}`);
-}
-
-// Receiver: Listen for messages and verify Dictionary handling
-async function test_dict_receive() {
-    // Connect to NATS
-    const { connect } = require('nats');
-    const nc = await connect({ servers: [NATS_URL] });
-    
-    // Subscribe to the subject
-    const sub = nc.subscribe(SUBJECT);
-    
-    for await (const msg of sub) {
-        log_trace(`Received message on ${msg.subject}`);
-        
-        // Use NATSBridge.smartreceive to handle the data
-        const result = await smartreceive(
-            msg,
-            {
-                maxRetries: 5,
-                baseDelay: 100,
-                maxDelay: 5000
-            }
-        );
-        
-        // Result is an envelope dictionary with payloads field
-        // Access payloads with result.payloads
-        for (const { dataname, data, type } of result.payloads) {
-            if (typeof data === 'object' && data !== null && !Array.isArray(data)) {
-                log_trace(`Received Dictionary '${dataname}' of type ${type}`);
-                
-                // Display dictionary contents
-                console.log("  Contents:");
-                for (const [key, value] of Object.entries(data)) {
-                    console.log(`    ${key} => ${value}`);
-                }
-                
-                // Save to JSON file
-                const fs = require('fs');
-                const output_path = `./received_${dataname}.json`;
-                const json_str = JSON.stringify(data, null, 2);
-                fs.writeFileSync(output_path, json_str);
-                log_trace(`Saved Dictionary to ${output_path}`);
-            } else {
-                log_trace(`Received unexpected data type for '${dataname}': ${typeof data}`);
-            }
-        }
-    }
-    
-    // Keep listening for 10 seconds
-    setTimeout(() => {
-        nc.close();
-        process.exit(0);
-    }, 120000);
-}
-
-// Run the test
-console.log("Starting Dictionary transport test...");
-console.log("Note: This receiver will wait for messages from the sender.");
-console.log("Run test_js_to_js_dict_sender.js first to send test data.");
-
-// Run receiver
-console.log("testing smartreceive");
-test_dict_receive();
-
-console.log("Test completed.");

test/test_js_to_js_dict_sender.js

@@ -1,164 +0,0 @@
-#!/usr/bin/env node
-// Test script for Dictionary transport testing
-// Tests sending 1 large and 1 small Dictionaries via direct and link transport
-// Uses NATSBridge.js smartsend with "dictionary" type
-
-const { smartsend, uuid4, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_dict_test";
-const NATS_URL = "nats.yiem.cc";
-const FILESERVER_URL = "http://192.168.88.104:8080";
-
-// Create correlation ID for tracing
-const correlation_id = uuid4();
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// File upload handler for plik server
-async function plik_upload_handler(fileserver_url, dataname, data, correlation_id) {
-    // Get upload ID
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Upload file
-    const formData = new FormData();
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(`${fileserver_url}/file/${uploadid}`, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Sender: Send Dictionaries via smartsend
-async function test_dict_send() {
-    // Create a small Dictionary (will use direct transport)
-    const small_dict = {
-        name: "Alice",
-        age: 30,
-        scores: [95, 88, 92],
-        metadata: {
-            height: 155,
-            weight: 55
-        }
-    };
-    
-    // Create a large Dictionary (will use link transport if > 1MB)
-    const large_dict_ids = [];
-    const large_dict_names = [];
-    const large_dict_scores = [];
-    const large_dict_categories = [];
-    
-    for (let i = 0; i < 50000; i++) {
-        large_dict_ids.push(i + 1);
-        large_dict_names.push(`User_${i}`);
-        large_dict_scores.push(Math.floor(Math.random() * 100) + 1);
-        large_dict_categories.push(`Category_${Math.floor(Math.random() * 10) + 1}`);
-    }
-    
-    const large_dict = {
-        ids: large_dict_ids,
-        names: large_dict_names,
-        scores: large_dict_scores,
-        categories: large_dict_categories,
-        metadata: {
-            source: "test_generator",
-            timestamp: new Date().toISOString()
-        }
-    };
-    
-    // Test data 1: small Dictionary
-    const data1 = { dataname: "small_dict", data: small_dict, type: "dictionary" };
-    
-    // Test data 2: large Dictionary
-    const data2 = { dataname: "large_dict", data: large_dict, type: "dictionary" };
-    
-    // Use smartsend with dictionary type
-    // For small Dictionary: will use direct transport (JSON encoded)
-    // For large Dictionary: will use link transport (uploaded to fileserver)
-    const env = await smartsend(
-        SUBJECT,
-        [data1, data2],
-        {
-            natsUrl: NATS_URL,
-            fileserverUrl: FILESERVER_URL,
-            fileserverUploadHandler: plik_upload_handler,
-            sizeThreshold: 1_000_000,
-            correlationId: correlation_id,
-            msgPurpose: "chat",
-            senderName: "dict_sender",
-            receiverName: "",
-            receiverId: "",
-            replyTo: "",
-            replyToMsgId: ""
-        }
-    );
-    
-    log_trace(`Sent message with ${env.payloads.length} payloads`);
-    
-    // Log transport type for each payload
-    for (let i = 0; i < env.payloads.length; i++) {
-        const payload = env.payloads[i];
-        log_trace(`Payload ${i + 1} ('${payload.dataname}'):`);
-        log_trace(`  Transport: ${payload.transport}`);
-        log_trace(`  Type: ${payload.type}`);
-        log_trace(`  Size: ${payload.size} bytes`);
-        log_trace(`  Encoding: ${payload.encoding}`);
-        
-        if (payload.transport === "link") {
-            log_trace(`  URL: ${payload.data}`);
-        }
-    }
-}
-
-// Run the test
-console.log("Starting Dictionary transport test...");
-console.log(`Correlation ID: ${correlation_id}`);
-
-// Run sender
-console.log("start smartsend for dictionaries");
-test_dict_send();
-
-console.log("Test completed.");

test/test_js_to_js_file_receiver.js

@@ -1,71 +0,0 @@
-#!/usr/bin/env node
-// Test script for large payload testing using binary transport
-// Tests receiving a large file (> 1MB) via smartsend with binary type
-
-const { smartreceive, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_test";
-const NATS_URL = "nats.yiem.cc";
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] ${message}`);
-}
-
-// Receiver: Listen for messages and verify large payload handling
-async function test_large_binary_receive() {
-    // Connect to NATS
-    const { connect } = require('nats');
-    const nc = await connect({ servers: [NATS_URL] });
-    
-    // Subscribe to the subject
-    const sub = nc.subscribe(SUBJECT);
-    
-    for await (const msg of sub) {
-        log_trace(`Received message on ${msg.subject}`);
-        
-        // Use NATSBridge.smartreceive to handle the data
-        const result = await smartreceive(
-            msg,
-            {
-                maxRetries: 5,
-                baseDelay: 100,
-                maxDelay: 5000
-            }
-        );
-        
-        // Result is an envelope dictionary with payloads field
-        // Access payloads with result.payloads
-        for (const { dataname, data, type } of result.payloads) {
-            if (data instanceof Uint8Array || Array.isArray(data)) {
-                const file_size = data.length;
-                log_trace(`Received ${file_size} bytes of binary data for '${dataname}' of type ${type}`);
-                
-                // Save received data to a test file
-                const fs = require('fs');
-                const output_path = `./new_${dataname}`;
-                fs.writeFileSync(output_path, Buffer.from(data));
-                log_trace(`Saved received data to ${output_path}`);
-            } else {
-                log_trace(`Received unexpected data type for '${dataname}': ${typeof data}`);
-            }
-        }
-    }
-    
-    // Keep listening for 10 seconds
-    setTimeout(() => {
-        nc.close();
-        process.exit(0);
-    }, 120000);
-}
-
-// Run the test
-console.log("Starting large binary payload test...");
-
-// Run receiver
-console.log("testing smartreceive");
-test_large_binary_receive();
-
-console.log("Test completed.");

test/test_js_to_js_file_sender.js

@@ -1,143 +0,0 @@
-#!/usr/bin/env node
-// Test script for large payload testing using binary transport
-// Tests sending a large file (> 1MB) via smartsend with binary type
-
-const { smartsend, uuid4, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_test";
-const NATS_URL = "nats.yiem.cc";
-const FILESERVER_URL = "http://192.168.88.104:8080";
-
-// Create correlation ID for tracing
-const correlation_id = uuid4();
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// File upload handler for plik server
-async function plik_upload_handler(fileserver_url, dataname, data, correlation_id) {
-    log_trace(correlation_id, `Uploading ${dataname} to fileserver: ${fileserver_url}`);
-    
-    // Step 1: Get upload ID and token
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Step 2: Upload file data
-    const url_upload = `${fileserver_url}/file/${uploadid}`;
-    
-    // Create multipart form data
-    const formData = new FormData();
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(url_upload, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    // Build the download URL
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    log_trace(correlation_id, `Uploaded to URL: ${url}`);
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Sender: Send large binary file via smartsend
-async function test_large_binary_send() {
-    // Read the large file as binary data
-    const fs = require('fs');
-    
-    // Test data 1
-    const file_path1 = './testFile_large.zip';
-    const file_data1 = fs.readFileSync(file_path1);
-    const filename1 = 'testFile_large.zip';
-    const data1 = { dataname: filename1, data: file_data1, type: "binary" };
-    
-    // Test data 2
-    const file_path2 = './testFile_small.zip';
-    const file_data2 = fs.readFileSync(file_path2);
-    const filename2 = 'testFile_small.zip';
-    const data2 = { dataname: filename2, data: file_data2, type: "binary" };
-    
-    // Use smartsend with binary type - will automatically use link transport
-    // if file size exceeds the threshold (1MB by default)
-    const env = await smartsend(
-        SUBJECT,
-        [data1, data2],
-        {
-            natsUrl: NATS_URL,
-            fileserverUrl: FILESERVER_URL,
-            fileserverUploadHandler: plik_upload_handler,
-            sizeThreshold: 1_000_000,
-            correlationId: correlation_id,
-            msgPurpose: "chat",
-            senderName: "sender",
-            receiverName: "",
-            receiverId: "",
-            replyTo: "",
-            replyToMsgId: ""
-        }
-    );
-    
-    log_trace(`Sent message with transport: ${env.payloads[0].transport}`);
-    log_trace(`Envelope type: ${env.payloads[0].type}`);
-    
-    // Check if link transport was used
-    if (env.payloads[0].transport === "link") {
-        log_trace("Using link transport - file uploaded to HTTP server");
-        log_trace(`URL: ${env.payloads[0].data}`);
-    } else {
-        log_trace("Using direct transport - payload sent via NATS");
-    }
-}
-
-// Run the test
-console.log("Starting large binary payload test...");
-console.log(`Correlation ID: ${correlation_id}`);
-
-// Run sender first
-console.log("start smartsend");
-test_large_binary_send();
-
-// Run receiver
-// console.log("testing smartreceive");
-// test_large_binary_receive();
-
-console.log("Test completed.");

test/test_js_to_js_mix_payload_sender.js

@@ -1,276 +0,0 @@
-#!/usr/bin/env node
-// Test script for mixed-content message testing
-// Tests sending a mix of text, json, table, image, audio, video, and binary data
-// from JavaScript serviceA to JavaScript serviceB using NATSBridge.js smartsend
-//
-// This test demonstrates that any combination and any number of mixed content
-// can be sent and received correctly.
-
-const { smartsend, uuid4, log_trace, _serialize_data } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_mix_test";
-const NATS_URL = "nats.yiem.cc";
-const FILESERVER_URL = "http://192.168.88.104:8080";
-
-// Create correlation ID for tracing
-const correlation_id = uuid4();
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// File upload handler for plik server
-async function plik_upload_handler(fileserver_url, dataname, data, correlation_id) {
-    log_trace(correlation_id, `Uploading ${dataname} to fileserver: ${fileserver_url}`);
-    
-    // Step 1: Get upload ID and token
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Step 2: Upload file data
-    const url_upload = `${fileserver_url}/file/${uploadid}`;
-    
-    // Create multipart form data
-    const formData = new FormData();
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(url_upload, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    // Build the download URL
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    log_trace(correlation_id, `Uploaded to URL: ${url}`);
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Helper: Create sample data for each type
-function create_sample_data() {
-    // Text data (small - direct transport)
-    const text_data = "Hello! This is a test chat message. 🎉\nHow are you doing today? 😊";
-    
-    // Dictionary/JSON data (medium - could be direct or link)
-    const dict_data = {
-        type: "chat",
-        sender: "serviceA",
-        receiver: "serviceB",
-        metadata: {
-            timestamp: new Date().toISOString(),
-            priority: "high",
-            tags: ["urgent", "chat", "test"]
-        },
-        content: {
-            text: "This is a JSON-formatted chat message with nested structure.",
-            format: "markdown",
-            mentions: ["user1", "user2"]
-        }
-    };
-    
-    // Table data (small - direct transport) - NOT IMPLEMENTED (requires apache-arrow)
-    // const table_data_small = {...};
-    
-    // Table data (large - link transport) - NOT IMPLEMENTED (requires apache-arrow)
-    // const table_data_large = {...};
-    
-    // Image data (small binary - direct transport)
-    // Create a simple 10x10 pixel PNG-like data
-    const image_width = 10;
-    const image_height = 10;
-    let image_data = new Uint8Array(128);  // PNG header + pixel data
-    // PNG header
-    image_data[0] = 0x89;
-    image_data[1] = 0x50;
-    image_data[2] = 0x4E;
-    image_data[3] = 0x47;
-    image_data[4] = 0x0D;
-    image_data[5] = 0x0A;
-    image_data[6] = 0x1A;
-    image_data[7] = 0x0A;
-    // Simple RGB data (10*10*3 = 300 bytes)
-    for (let i = 0; i < 300; i++) {
-        image_data[i + 8] = 0xFF;  // Red pixel
-    }
-    
-    // Image data (large - link transport)
-    const large_image_width = 500;
-    const large_image_height = 1000;
-    const large_image_data = new Uint8Array(large_image_width * large_image_height * 3 + 8);
-    // PNG header
-    large_image_data[0] = 0x89;
-    large_image_data[1] = 0x50;
-    large_image_data[2] = 0x4E;
-    large_image_data[3] = 0x47;
-    large_image_data[4] = 0x0D;
-    large_image_data[5] = 0x0A;
-    large_image_data[6] = 0x1A;
-    large_image_data[7] = 0x0A;
-    // Random RGB data
-    for (let i = 0; i < large_image_width * large_image_height * 3; i++) {
-        large_image_data[i + 8] = Math.floor(Math.random() * 255);
-    }
-    
-    // Audio data (small binary - direct transport)
-    const audio_data = new Uint8Array(100);
-    for (let i = 0; i < 100; i++) {
-        audio_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    // Audio data (large - link transport)
-    const large_audio_data = new Uint8Array(1_500_000);
-    for (let i = 0; i < 1_500_000; i++) {
-        large_audio_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    // Video data (small binary - direct transport)
-    const video_data = new Uint8Array(150);
-    for (let i = 0; i < 150; i++) {
-        video_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    // Video data (large - link transport)
-    const large_video_data = new Uint8Array(1_500_000);
-    for (let i = 0; i < 1_500_000; i++) {
-        large_video_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    // Binary data (small - direct transport)
-    const binary_data = new Uint8Array(200);
-    for (let i = 0; i < 200; i++) {
-        binary_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    // Binary data (large - link transport)
-    const large_binary_data = new Uint8Array(1_500_000);
-    for (let i = 0; i < 1_500_000; i++) {
-        large_binary_data[i] = Math.floor(Math.random() * 255);
-    }
-    
-    return {
-        text_data,
-        dict_data,
-        // table_data_small,
-        // table_data_large,
-        image_data,
-        large_image_data,
-        audio_data,
-        large_audio_data,
-        video_data,
-        large_video_data,
-        binary_data,
-        large_binary_data
-    };
-}
-
-// Sender: Send mixed content via smartsend
-async function test_mix_send() {
-    // Create sample data
-    const { text_data, dict_data, image_data, large_image_data, audio_data, large_audio_data, video_data, large_video_data, binary_data, large_binary_data } = create_sample_data();
-    
-    // Create payloads list - mixed content with both small and large data
-    // Small data uses direct transport, large data uses link transport
-    const payloads = [
-        // Small data (direct transport) - text, dictionary
-        { dataname: "chat_text", data: text_data, type: "text" },
-        { dataname: "chat_json", data: dict_data, type: "dictionary" },
-        // { dataname: "chat_table_small", data: table_data_small, type: "table" },
-        
-        // Large data (link transport) - large image, large audio, large video, large binary
-        // { dataname: "chat_table_large", data: table_data_large, type: "table" },
-        { dataname: "user_image_large", data: large_image_data, type: "image" },
-        { dataname: "audio_clip_large", data: large_audio_data, type: "audio" },
-        { dataname: "video_clip_large", data: large_video_data, type: "video" },
-        { dataname: "binary_file_large", data: large_binary_data, type: "binary" }
-    ];
-    
-    // Use smartsend with mixed content
-    const env = await smartsend(
-        SUBJECT,
-        payloads,
-        {
-            natsUrl: NATS_URL,
-            fileserverUrl: FILESERVER_URL,
-            fileserverUploadHandler: plik_upload_handler,
-            sizeThreshold: 1_000_000,
-            correlationId: correlation_id,
-            msgPurpose: "chat",
-            senderName: "mix_sender",
-            receiverName: "",
-            receiverId: "",
-            replyTo: "",
-            replyToMsgId: ""
-        }
-    );
-    
-    log_trace(`Sent message with ${env.payloads.length} payloads`);
-    
-    // Log transport type for each payload
-    for (let i = 0; i < env.payloads.length; i++) {
-        const payload = env.payloads[i];
-        log_trace(`Payload ${i + 1} ('${payload.dataname}'):`);
-        log_trace(`  Transport: ${payload.transport}`);
-        log_trace(`  Type: ${payload.type}`);
-        log_trace(`  Size: ${payload.size} bytes`);
-        log_trace(`  Encoding: ${payload.encoding}`);
-        
-        if (payload.transport === "link") {
-            log_trace(`  URL: ${payload.data}`);
-        }
-    }
-    
-    // Summary
-    console.log("\n--- Transport Summary ---");
-    const direct_count = env.payloads.filter(p => p.transport === "direct").length;
-    const link_count = env.payloads.filter(p => p.transport === "link").length;
-    log_trace(`Direct transport: ${direct_count} payloads`);
-    log_trace(`Link transport: ${link_count} payloads`);
-}
-
-// Run the test
-console.log("Starting mixed-content transport test...");
-console.log(`Correlation ID: ${correlation_id}`);
-
-// Run sender
-console.log("start smartsend for mixed content");
-test_mix_send();
-
-console.log("\nTest completed.");
-console.log("Note: Run test_js_to_js_mix_receiver.js to receive the messages.");

test/test_js_to_js_mix_payloads_receiver.js

@@ -1,173 +0,0 @@
-#!/usr/bin/env node
-// Test script for mixed-content message testing
-// Tests receiving a mix of text, json, table, image, audio, video, and binary data
-// from JavaScript serviceA to JavaScript serviceB using NATSBridge.js smartreceive
-//
-// This test demonstrates that any combination and any number of mixed content
-// can be sent and received correctly.
-
-const { smartreceive, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_mix_test";
-const NATS_URL = "nats.yiem.cc";
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] ${message}`);
-}
-
-// Receiver: Listen for messages and verify mixed content handling
-async function test_mix_receive() {
-    // Connect to NATS
-    const { connect } = require('nats');
-    const nc = await connect({ servers: [NATS_URL] });
-    
-    // Subscribe to the subject
-    const sub = nc.subscribe(SUBJECT);
-    
-    for await (const msg of sub) {
-        log_trace(`Received message on ${msg.subject}`);
-        
-        // Use NATSBridge.smartreceive to handle the data
-        const result = await smartreceive(
-            msg,
-            {
-                maxRetries: 5,
-                baseDelay: 100,
-                maxDelay: 5000
-            }
-        );
-        
-        log_trace(`Received ${result.payloads.length} payloads`);
-        
-        // Result is an envelope dictionary with payloads field
-        // Access payloads with result.payloads
-        for (const { dataname, data, type } of result.payloads) {
-            log_trace(`\n=== Payload: ${dataname} (type: ${type}) ===`);
-            
-            // Handle different data types
-            if (type === "text") {
-                // Text data - should be a String
-                if (typeof data === 'string') {
-                    log_trace(`  Type: String`);
-                    log_trace(`  Length: ${data.length} characters`);
-                    
-                    // Display first 200 characters
-                    if (data.length > 200) {
-                        log_trace(`  First 200 chars: ${data.substring(0, 200)}...`);
-                    } else {
-                        log_trace(`  Content: ${data}`);
-                    }
-                    
-                    // Save to file
-                    const fs = require('fs');
-                    const output_path = `./received_${dataname}.txt`;
-                    fs.writeFileSync(output_path, data);
-                    log_trace(`  Saved to: ${output_path}`);
-                } else {
-                    log_trace(`  ERROR: Expected String, got ${typeof data}`);
-                }
-                
-            } else if (type === "dictionary") {
-                // Dictionary data - should be an object
-                if (typeof data === 'object' && data !== null && !Array.isArray(data)) {
-                    log_trace(`  Type: Object`);
-                    log_trace(`  Keys: ${Object.keys(data).join(', ')}`);
-                    
-                    // Display nested content
-                    for (const [key, value] of Object.entries(data)) {
-                        log_trace(`  ${key} => ${value}`);
-                    }
-                    
-                    // Save to JSON file
-                    const fs = require('fs');
-                    const output_path = `./received_${dataname}.json`;
-                    const json_str = JSON.stringify(data, null, 2);
-                    fs.writeFileSync(output_path, json_str);
-                    log_trace(`  Saved to: ${output_path}`);
-                } else {
-                    log_trace(`  ERROR: Expected Object, got ${typeof data}`);
-                }
-                
-            } else if (type === "table") {
-                // Table data - should be an array of objects (requires apache-arrow)
-                log_trace(`  Type: Array (requires apache-arrow for full deserialization)`);
-                if (Array.isArray(data)) {
-                    log_trace(`  Length: ${data.length} items`);
-                    log_trace(`  First item: ${JSON.stringify(data[0])}`);
-                } else {
-                    log_trace(`  ERROR: Expected Array, got ${typeof data}`);
-                }
-                
-            } else if (type === "image" || type === "audio" || type === "video" || type === "binary") {
-                // Binary data - should be Uint8Array
-                if (data instanceof Uint8Array || Array.isArray(data)) {
-                    log_trace(`  Type: Uint8Array (binary)`);
-                    log_trace(`  Size: ${data.length} bytes`);
-                    
-                    // Save to file
-                    const fs = require('fs');
-                    const output_path = `./received_${dataname}.bin`;
-                    fs.writeFileSync(output_path, Buffer.from(data));
-                    log_trace(`  Saved to: ${output_path}`);
-                } else {
-                    log_trace(`  ERROR: Expected Uint8Array, got ${typeof data}`);
-                }
-                
-            } else {
-                log_trace(`  ERROR: Unknown data type '${type}'`);
-            }
-        }
-        
-        // Summary
-        console.log("\n=== Verification Summary ===");
-        const text_count = result.payloads.filter(x => x.type === "text").length;
-        const dict_count = result.payloads.filter(x => x.type === "dictionary").length;
-        const table_count = result.payloads.filter(x => x.type === "table").length;
-        const image_count = result.payloads.filter(x => x.type === "image").length;
-        const audio_count = result.payloads.filter(x => x.type === "audio").length;
-        const video_count = result.payloads.filter(x => x.type === "video").length;
-        const binary_count = result.payloads.filter(x => x.type === "binary").length;
-        
-        log_trace(`Text payloads: ${text_count}`);
-        log_trace(`Dictionary payloads: ${dict_count}`);
-        log_trace(`Table payloads: ${table_count}`);
-        log_trace(`Image payloads: ${image_count}`);
-        log_trace(`Audio payloads: ${audio_count}`);
-        log_trace(`Video payloads: ${video_count}`);
-        log_trace(`Binary payloads: ${binary_count}`);
-        
-        // Print transport type info for each payload if available
-        console.log("\n=== Payload Details ===");
-        for (const { dataname, data, type } of result.payloads) {
-            if (["image", "audio", "video", "binary"].includes(type)) {
-                log_trace(`${dataname}: ${data.length} bytes (binary)`);
-            } else if (type === "table") {
-                log_trace(`${dataname}: ${data.length} items (Array)`);
-            } else if (type === "dictionary") {
-                log_trace(`${dataname}: ${JSON.stringify(data).length} bytes (Object)`);
-            } else if (type === "text") {
-                log_trace(`${dataname}: ${data.length} characters (String)`);
-            }
-        }
-    }
-    
-    // Keep listening for 2 minutes
-    setTimeout(() => {
-        nc.close();
-        process.exit(0);
-    }, 120000);
-}
-
-// Run the test
-console.log("Starting mixed-content transport test...");
-console.log("Note: This receiver will wait for messages from the sender.");
-console.log("Run test_js_to_js_mix_sender.js first to send test data.");
-
-// Run receiver
-console.log("\ntesting smartreceive for mixed content");
-test_mix_receive();
-
-console.log("\nTest completed.");

test/test_js_to_js_table_receiver.js

@@ -1,87 +0,0 @@
-#!/usr/bin/env node
-// Test script for Table transport testing
-// Tests receiving 1 large and 1 small Tables via direct and link transport
-// Uses NATSBridge.js smartreceive with "table" type
-//
-// Note: This test requires the apache-arrow library to deserialize table data.
-// The JavaScript implementation uses apache-arrow for Arrow IPC deserialization.
-
-const { smartreceive, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_table_test";
-const NATS_URL = "nats.yiem.cc";
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] ${message}`);
-}
-
-// Receiver: Listen for messages and verify Table handling
-async function test_table_receive() {
-    // Connect to NATS
-    const { connect } = require('nats');
-    const nc = await connect({ servers: [NATS_URL] });
-    
-    // Subscribe to the subject
-    const sub = nc.subscribe(SUBJECT);
-    
-    for await (const msg of sub) {
-        log_trace(`Received message on ${msg.subject}`);
-        
-        // Use NATSBridge.smartreceive to handle the data
-        const result = await smartreceive(
-            msg,
-            {
-                maxRetries: 5,
-                baseDelay: 100,
-                maxDelay: 5000
-            }
-        );
-        
-        // Result is an envelope dictionary with payloads field
-        // Access payloads with result.payloads
-        for (const { dataname, data, type } of result.payloads) {
-            if (Array.isArray(data)) {
-                log_trace(`Received Table '${dataname}' of type ${type}`);
-                
-                // Display table contents
-                console.log(`  Dimensions: ${data.length} rows x ${data.length > 0 ? Object.keys(data[0]).length : 0} columns`);
-                console.log(`  Columns: ${data.length > 0 ? Object.keys(data[0]).join(', ') : ''}`);
-                
-                // Display first few rows
-                console.log(`  First 5 rows:`);
-                for (let i = 0; i < Math.min(5, data.length); i++) {
-                    console.log(`    Row ${i}: ${JSON.stringify(data[i])}`);
-                }
-                
-                // Save to JSON file
-                const fs = require('fs');
-                const output_path = `./received_${dataname}.json`;
-                const json_str = JSON.stringify(data, null, 2);
-                fs.writeFileSync(output_path, json_str);
-                log_trace(`Saved Table to ${output_path}`);
-            } else {
-                log_trace(`Received unexpected data type for '${dataname}': ${typeof data}`);
-            }
-        }
-    }
-    
-    // Keep listening for 10 seconds
-    setTimeout(() => {
-        nc.close();
-        process.exit(0);
-    }, 120000);
-}
-
-// Run the test
-console.log("Starting Table transport test...");
-console.log("Note: This receiver will wait for messages from the sender.");
-console.log("Run test_js_to_js_table_sender.js first to send test data.");
-
-// Run receiver
-console.log("testing smartreceive");
-test_table_receive();
-
-console.log("Test completed.");

test/test_js_to_js_table_sender.js

@@ -1,164 +0,0 @@
-#!/usr/bin/env node
-// Test script for Table transport testing
-// Tests sending 1 large and 1 small Tables via direct and link transport
-// Uses NATSBridge.js smartsend with "table" type
-//
-// Note: This test requires the apache-arrow library to serialize/deserialize table data.
-// The JavaScript implementation uses apache-arrow for Arrow IPC serialization.
-
-const { smartsend, uuid4, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_table_test";
-const NATS_URL = "nats.yiem.cc";
-const FILESERVER_URL = "http://192.168.88.104:8080";
-
-// Create correlation ID for tracing
-const correlation_id = uuid4();
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// File upload handler for plik server
-async function plik_upload_handler(fileserver_url, dataname, data, correlation_id) {
-    log_trace(correlation_id, `Uploading ${dataname} to fileserver: ${fileserver_url}`);
-    
-    // Step 1: Get upload ID and token
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Step 2: Upload file data
-    const url_upload = `${fileserver_url}/file/${uploadid}`;
-    
-    // Create multipart form data
-    const formData = new FormData();
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(url_upload, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    // Build the download URL
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    log_trace(correlation_id, `Uploaded to URL: ${url}`);
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Sender: Send Tables via smartsend
-async function test_table_send() {
-    // Note: This test requires apache-arrow library to create Arrow IPC data.
-    // For now, we'll use a simple array of objects as table data.
-    // In production, you would use the apache-arrow library to create Arrow IPC data.
-    
-    // Create a small Table (will use direct transport)
-    const small_table = [
-        { id: 1, name: "Alice", score: 95 },
-        { id: 2, name: "Bob", score: 88 },
-        { id: 3, name: "Charlie", score: 92 }
-    ];
-    
-    // Create a large Table (will use link transport if > 1MB)
-    // Generate a larger dataset (~2MB to ensure link transport)
-    const large_table = [];
-    for (let i = 0; i < 50000; i++) {
-        large_table.push({
-            id: i,
-            message: `msg_${i}`,
-            sender: `sender_${i}`,
-            timestamp: new Date().toISOString(),
-            priority: Math.floor(Math.random() * 3) + 1
-        });
-    }
-    
-    // Test data 1: small Table
-    const data1 = { dataname: "small_table", data: small_table, type: "table" };
-    
-    // Test data 2: large Table
-    const data2 = { dataname: "large_table", data: large_table, type: "table" };
-    
-    // Use smartsend with table type
-    // For small Table: will use direct transport (Arrow IPC encoded)
-    // For large Table: will use link transport (uploaded to fileserver)
-    const env = await smartsend(
-        SUBJECT,
-        [data1, data2],
-        {
-            natsUrl: NATS_URL,
-            fileserverUrl: FILESERVER_URL,
-            fileserverUploadHandler: plik_upload_handler,
-            sizeThreshold: 1_000_000,
-            correlationId: correlation_id,
-            msgPurpose: "chat",
-            senderName: "table_sender",
-            receiverName: "",
-            receiverId: "",
-            replyTo: "",
-            replyToMsgId: ""
-        }
-    );
-    
-    log_trace(`Sent message with ${env.payloads.length} payloads`);
-    
-    // Log transport type for each payload
-    for (let i = 0; i < env.payloads.length; i++) {
-        const payload = env.payloads[i];
-        log_trace(`Payload ${i + 1} ('${payload.dataname}'):`);
-        log_trace(`  Transport: ${payload.transport}`);
-        log_trace(`  Type: ${payload.type}`);
-        log_trace(`  Size: ${payload.size} bytes`);
-        log_trace(`  Encoding: ${payload.encoding}`);
-        
-        if (payload.transport === "link") {
-            log_trace(`  URL: ${payload.data}`);
-        }
-    }
-}
-
-// Run the test
-console.log("Starting Table transport test...");
-console.log(`Correlation ID: ${correlation_id}`);
-
-// Run sender
-console.log("start smartsend for tables");
-test_table_send();
-
-console.log("Test completed.");

test/test_js_to_js_text_receiver.js

@@ -1,81 +0,0 @@
-#!/usr/bin/env node
-// Test script for text transport testing
-// Tests receiving 1 large and 1 small text from JavaScript serviceA to JavaScript serviceB
-// Uses NATSBridge.js smartreceive with "text" type
-
-const { smartreceive, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_text_test";
-const NATS_URL = "nats.yiem.cc";
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] ${message}`);
-}
-
-// Receiver: Listen for messages and verify text handling
-async function test_text_receive() {
-    // Connect to NATS
-    const { connect } = require('nats');
-    const nc = await connect({ servers: [NATS_URL] });
-    
-    // Subscribe to the subject
-    const sub = nc.subscribe(SUBJECT);
-    
-    for await (const msg of sub) {
-        log_trace(`Received message on ${msg.subject}`);
-        
-        // Use NATSBridge.smartreceive to handle the data
-        const result = await smartreceive(
-            msg,
-            {
-                maxRetries: 5,
-                baseDelay: 100,
-                maxDelay: 5000
-            }
-        );
-        
-        // Result is an envelope dictionary with payloads field
-        // Access payloads with result.payloads
-        for (const { dataname, data, type } of result.payloads) {
-            if (typeof data === 'string') {
-                log_trace(`Received text '${dataname}' of type ${type}`);
-                log_trace(`  Length: ${data.length} characters`);
-                
-                // Display first 100 characters
-                if (data.length > 100) {
-                    log_trace(`  First 100 characters: ${data.substring(0, 100)}...`);
-                } else {
-                    log_trace(`  Content: ${data}`);
-                }
-                
-                // Save to file
-                const fs = require('fs');
-                const output_path = `./received_${dataname}.txt`;
-                fs.writeFileSync(output_path, data);
-                log_trace(`Saved text to ${output_path}`);
-            } else {
-                log_trace(`Received unexpected data type for '${dataname}': ${typeof data}`);
-            }
-        }
-    }
-    
-    // Keep listening for 10 seconds
-    setTimeout(() => {
-        nc.close();
-        process.exit(0);
-    }, 120000);
-}
-
-// Run the test
-console.log("Starting text transport test...");
-console.log("Note: This receiver will wait for messages from the sender.");
-console.log("Run test_js_to_js_text_sender.js first to send test data.");
-
-// Run receiver
-console.log("testing smartreceive for text");
-test_text_receive();
-
-console.log("Test completed.");

test/test_js_to_js_text_sender.js

@@ -1,140 +0,0 @@
-#!/usr/bin/env node
-// Test script for text transport testing
-// Tests sending 1 large and 1 small text from JavaScript serviceA to JavaScript serviceB
-// Uses NATSBridge.js smartsend with "text" type
-
-const { smartsend, uuid4, log_trace } = require('./src/NATSBridge');
-
-// Configuration
-const SUBJECT = "/NATSBridge_text_test";
-const NATS_URL = "nats.yiem.cc";
-const FILESERVER_URL = "http://192.168.88.104:8080";
-
-// Create correlation ID for tracing
-const correlation_id = uuid4();
-
-// Helper: Log with correlation ID
-function log_trace(message) {
-    const timestamp = new Date().toISOString();
-    console.log(`[${timestamp}] [Correlation: ${correlation_id}] ${message}`);
-}
-
-// File upload handler for plik server
-async function plik_upload_handler(fileserver_url, dataname, data, correlation_id) {
-    // Get upload ID
-    const url_getUploadID = `${fileserver_url}/upload`;
-    const headers = {
-        "Content-Type": "application/json"
-    };
-    const body = JSON.stringify({ OneShot: true });
-    
-    let response = await fetch(url_getUploadID, {
-        method: "POST",
-        headers: headers,
-        body: body
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to get upload ID: ${response.status} ${response.statusText}`);
-    }
-    
-    const responseJson = await response.json();
-    const uploadid = responseJson.id;
-    const uploadtoken = responseJson.uploadToken;
-    
-    // Upload file
-    const formData = new FormData();
-    const blob = new Blob([data], { type: "application/octet-stream" });
-    formData.append("file", blob, dataname);
-    
-    response = await fetch(`${fileserver_url}/file/${uploadid}`, {
-        method: "POST",
-        headers: {
-            "X-UploadToken": uploadtoken
-        },
-        body: formData
-    });
-    
-    if (!response.ok) {
-        throw new Error(`Failed to upload file: ${response.status} ${response.statusText}`);
-    }
-    
-    const fileResponseJson = await response.json();
-    const fileid = fileResponseJson.id;
-    
-    const url = `${fileserver_url}/file/${uploadid}/${fileid}/${encodeURIComponent(dataname)}`;
-    
-    return {
-        status: response.status,
-        uploadid: uploadid,
-        fileid: fileid,
-        url: url
-    };
-}
-
-// Sender: Send text via smartsend
-async function test_text_send() {
-    // Create a small text (will use direct transport)
-    const small_text = "Hello, this is a small text message. Testing direct transport via NATS.";
-    
-    // Create a large text (will use link transport if > 1MB)
-    // Generate a larger text (~2MB to ensure link transport)
-    const large_text_lines = [];
-    for (let i = 0; i < 50000; i++) {
-        large_text_lines.push(`Line ${i}: This is a sample text line with some content to pad the size. `);
-    }
-    const large_text = large_text_lines.join("");
-    
-    // Test data 1: small text
-    const data1 = { dataname: "small_text", data: small_text, type: "text" };
-    
-    // Test data 2: large text
-    const data2 = { dataname: "large_text", data: large_text, type: "text" };
-    
-    // Use smartsend with text type
-    // For small text: will use direct transport (Base64 encoded UTF-8)
-    // For large text: will use link transport (uploaded to fileserver)
-    const env = await smartsend(
-        SUBJECT,
-        [data1, data2],
-        {
-            natsUrl: NATS_URL,
-            fileserverUrl: FILESERVER_URL,
-            fileserverUploadHandler: plik_upload_handler,
-            sizeThreshold: 1_000_000,
-            correlationId: correlation_id,
-            msgPurpose: "chat",
-            senderName: "text_sender",
-            receiverName: "",
-            receiverId: "",
-            replyTo: "",
-            replyToMsgId: ""
-        }
-    );
-    
-    log_trace(`Sent message with ${env.payloads.length} payloads`);
-    
-    // Log transport type for each payload
-    for (let i = 0; i < env.payloads.length; i++) {
-        const payload = env.payloads[i];
-        log_trace(`Payload ${i + 1} ('${payload.dataname}'):`);
-        log_trace(`  Transport: ${payload.transport}`);
-        log_trace(`  Type: ${payload.type}`);
-        log_trace(`  Size: ${payload.size} bytes`);
-        log_trace(`  Encoding: ${payload.encoding}`);
-        
-        if (payload.transport === "link") {
-            log_trace(`  URL: ${payload.data}`);
-        }
-    }
-}
-
-// Run the test
-console.log("Starting text transport test...");
-console.log(`Correlation ID: ${correlation_id}`);
-
-// Run sender
-console.log("start smartsend for text");
-test_text_send();
-
-console.log("Test completed.");

test/test_julia_dict_sender.jl

@@ -92,12 +92,12 @@ function test_dict_send()
     # Use smartsend with dictionary type
     # For small Dictionary: will use direct transport (JSON encoded)
     # For large Dictionary: will use link transport (uploaded to fileserver)
-    env = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
-        nats_url = NATS_URL,
+        broker_url = NATS_URL,
         fileserver_url = FILESERVER_URL,
-        fileserverUploadHandler = plik_upload_handler,
+        fileserver_upload_handler = plik_upload_handler,
         size_threshold = 1_000_000,  # 1MB threshold
         correlation_id = correlation_id,
         msg_purpose = "chat",
@@ -105,7 +105,8 @@ function test_dict_send()
         receiver_name = "",
         receiver_id = "",
         reply_to = "",
-        reply_to_msg_id = ""
+        reply_to_msg_id = "",
+        is_publish = true  # Publish the message to NATS
     )
     
     log_trace("Sent message with $(length(env.payloads)) payloads")
@@ -114,7 +115,7 @@ function test_dict_send()
     for (i, payload) in enumerate(env.payloads)
         log_trace("Payload $i ('$payload.dataname'):")
         log_trace("  Transport: $(payload.transport)")
-        log_trace("  Type: $(payload.type)")
+        log_trace("  Type: $(payload.payload_type)")
         log_trace("  Size: $(payload.size) bytes")
         log_trace("  Encoding: $(payload.encoding)")
         

test/test_julia_file_sender.jl

@@ -79,12 +79,12 @@ function test_large_binary_send()
     # Use smartsend with binary type - will automatically use link transport
     # if file size exceeds the threshold (1MB by default)
     # API: smartsend(subject, [(dataname, data, type), ...]; keywords...)
-    env = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
-        nats_url = NATS_URL;
+        broker_url = NATS_URL;
         fileserver_url = FILESERVER_URL,
-        fileserverUploadHandler = plik_upload_handler,
+        fileserver_upload_handler = plik_upload_handler,
         size_threshold = 1_000_000,
         correlation_id = correlation_id,
         msg_purpose = "chat",
@@ -92,11 +92,12 @@ function test_large_binary_send()
         receiver_name = "",
         receiver_id = "",
         reply_to = "",
-        reply_to_msg_id = ""
+        reply_to_msg_id = "",
+        is_publish = true  # Publish the message to NATS
     )
     
     log_trace("Sent message with transport: $(env.payloads[1].transport)")
-    log_trace("Envelope type: $(env.payloads[1].type)")
+    log_trace("Envelope type: $(env.payloads[1].payload_type)")
     
     # Check if link transport was used
     if env.payloads[1].transport == "link"

test/test_julia_mix_payloads_sender.jl

@@ -186,12 +186,12 @@ function test_mix_send()
     ]
     
     # Use smartsend with mixed content
-    env = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         payloads;  # List of (dataname, data, type) tuples
-        nats_url = NATS_URL,
+        broker_url = NATS_URL,
         fileserver_url = FILESERVER_URL,
-        fileserverUploadHandler = plik_upload_handler,
+        fileserver_upload_handler = plik_upload_handler,
         size_threshold = 1_000_000,  # 1MB threshold
         correlation_id = correlation_id,
         msg_purpose = "chat",
@@ -199,7 +199,8 @@ function test_mix_send()
         receiver_name = "",
         receiver_id = "",
         reply_to = "",
-        reply_to_msg_id = ""
+        reply_to_msg_id = "",
+        is_publish = true  # Publish the message to NATS
     )
     
     log_trace("Sent message with $(length(env.payloads)) payloads")
@@ -208,7 +209,7 @@ function test_mix_send()
     for (i, payload) in enumerate(env.payloads)
         log_trace("Payload $i ('$payload.dataname'):")
         log_trace("  Transport: $(payload.transport)")
-        log_trace("  Type: $(payload.type)")
+        log_trace("  Type: $(payload.payload_type)")
         log_trace("  Size: $(payload.size) bytes")
         log_trace("  Encoding: $(payload.encoding)")
         

test/test_julia_table_sender.jl

@@ -90,12 +90,12 @@ function test_table_send()
     # Use smartsend with table type
     # For small DataFrame: will use direct transport (Base64 encoded Arrow IPC)
     # For large DataFrame: will use link transport (uploaded to fileserver)
-    env = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
-        nats_url = NATS_URL,
+        broker_url = NATS_URL,
         fileserver_url = FILESERVER_URL,
-        fileserverUploadHandler = plik_upload_handler,
+        fileserver_upload_handler = plik_upload_handler,
         size_threshold = 1_000_000,  # 1MB threshold
         correlation_id = correlation_id,
         msg_purpose = "chat",
@@ -103,7 +103,8 @@ function test_table_send()
         receiver_name = "",
         receiver_id = "",
         reply_to = "",
-        reply_to_msg_id = ""
+        reply_to_msg_id = "",
+        is_publish = true  # Publish the message to NATS
     )
     
     log_trace("Sent message with $(length(env.payloads)) payloads")
@@ -112,7 +113,7 @@ function test_table_send()
     for (i, payload) in enumerate(env.payloads)
         log_trace("Payload $i ('$payload.dataname'):")
         log_trace("  Transport: $(payload.transport)")
-        log_trace("  Type: $(payload.type)")
+        log_trace("  Type: $(payload.payload_type)")
         log_trace("  Size: $(payload.size) bytes")
         log_trace("  Encoding: $(payload.encoding)")
         

test/test_julia_text_sender.jl

@@ -75,12 +75,12 @@ function test_text_send()
     # Use smartsend with text type
     # For small text: will use direct transport (Base64 encoded UTF-8)
     # For large text: will use link transport (uploaded to fileserver)
-    env = NATSBridge.smartsend(
+    env, env_json_str = NATSBridge.smartsend(
         SUBJECT,
         [data1, data2];  # List of (dataname, data, type) tuples
-        nats_url = NATS_URL,
+        broker_url = NATS_URL,
         fileserver_url = FILESERVER_URL,
-        fileserverUploadHandler = plik_upload_handler,
+        fileserver_upload_handler = plik_upload_handler,
         size_threshold = 1_000_000,  # 1MB threshold
         correlation_id = correlation_id,
         msg_purpose = "chat",
@@ -88,7 +88,8 @@ function test_text_send()
         receiver_name = "",
         receiver_id = "",
         reply_to = "",
-        reply_to_msg_id = ""
+        reply_to_msg_id = "",
+        is_publish = true  # Publish the message to NATS
     )
     
     log_trace("Sent message with $(length(env.payloads)) payloads")
@@ -97,7 +98,7 @@ function test_text_send()
     for (i, payload) in enumerate(env.payloads)
         log_trace("Payload $i ('$payload.dataname'):")
         log_trace("  Transport: $(payload.transport)")
-        log_trace("  Type: $(payload.type)")
+        log_trace("  Type: $(payload.payload_type)")
         log_trace("  Size: $(payload.size) bytes")
         log_trace("  Encoding: $(payload.encoding)")
         

test/test_micropython_basic.py

@@ -1,207 +0,0 @@
-#!/usr/bin/env python3
-"""
-Basic functionality test for nats_bridge.py
-Tests the core classes and functions without NATS connection
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import (
-    MessagePayload,
-    MessageEnvelope,
-    smartsend,
-    smartreceive,
-    log_trace,
-    generate_uuid,
-    get_timestamp,
-    _serialize_data,
-    _deserialize_data
-)
-import json
-
-
-def test_message_payload():
-    """Test MessagePayload class"""
-    print("\n=== Testing MessagePayload ===")
-    
-    # Test direct transport with text
-    payload1 = MessagePayload(
-        data="Hello World",
-        msg_type="text",
-        id="test-id-1",
-        dataname="message",
-        transport="direct",
-        encoding="base64",
-        size=11
-    )
-    
-    assert payload1.id == "test-id-1"
-    assert payload1.dataname == "message"
-    assert payload1.type == "text"
-    assert payload1.transport == "direct"
-    assert payload1.encoding == "base64"
-    assert payload1.size == 11
-    print("  [PASS] MessagePayload with text data")
-    
-    # Test link transport with URL
-    payload2 = MessagePayload(
-        data="http://example.com/file.txt",
-        msg_type="binary",
-        id="test-id-2",
-        dataname="file",
-        transport="link",
-        encoding="none",
-        size=1000
-    )
-    
-    assert payload2.transport == "link"
-    assert payload2.data == "http://example.com/file.txt"
-    print("  [PASS] MessagePayload with link transport")
-    
-    # Test to_dict method
-    payload_dict = payload1.to_dict()
-    assert "id" in payload_dict
-    assert "dataname" in payload_dict
-    assert "type" in payload_dict
-    assert "transport" in payload_dict
-    assert "data" in payload_dict
-    print("  [PASS] MessagePayload.to_dict() method")
-
-
-def test_message_envelope():
-    """Test MessageEnvelope class"""
-    print("\n=== Testing MessageEnvelope ===")
-    
-    # Create payloads
-    payload1 = MessagePayload("Hello", "text", id="p1", dataname="msg1")
-    payload2 = MessagePayload("http://example.com/file", "binary", id="p2", dataname="file", transport="link")
-    
-    # Create envelope
-    env = MessageEnvelope(
-        send_to="/test/subject",
-        payloads=[payload1, payload2],
-        correlation_id="test-correlation-id",
-        msg_id="test-msg-id",
-        msg_purpose="chat",
-        sender_name="test_sender",
-        receiver_name="test_receiver",
-        reply_to="/test/reply"
-    )
-    
-    assert env.send_to == "/test/subject"
-    assert env.correlation_id == "test-correlation-id"
-    assert env.msg_id == "test-msg-id"
-    assert env.msg_purpose == "chat"
-    assert len(env.payloads) == 2
-    print("  [PASS] MessageEnvelope creation")
-    
-    # Test to_json method
-    json_str = env.to_json()
-    json_data = json.loads(json_str)
-    assert json_data["sendTo"] == "/test/subject"
-    assert json_data["correlationId"] == "test-correlation-id"
-    assert json_data["msgPurpose"] == "chat"
-    assert len(json_data["payloads"]) == 2
-    print("  [PASS] MessageEnvelope.to_json() method")
-
-
-def test_serialize_data():
-    """Test _serialize_data function"""
-    print("\n=== Testing _serialize_data ===")
-    
-    # Test text serialization
-    text_bytes = _serialize_data("Hello", "text")
-    assert isinstance(text_bytes, bytes)
-    assert text_bytes == b"Hello"
-    print("  [PASS] Text serialization")
-    
-    # Test dictionary serialization
-    dict_data = {"key": "value", "number": 42}
-    dict_bytes = _serialize_data(dict_data, "dictionary")
-    assert isinstance(dict_bytes, bytes)
-    parsed = json.loads(dict_bytes.decode('utf-8'))
-    assert parsed["key"] == "value"
-    print("  [PASS] Dictionary serialization")
-    
-    # Test binary serialization
-    binary_data = b"\x00\x01\x02"
-    binary_bytes = _serialize_data(binary_data, "binary")
-    assert binary_bytes == b"\x00\x01\x02"
-    print("  [PASS] Binary serialization")
-    
-    # Test image serialization
-    image_data = bytes([1, 2, 3, 4, 5])
-    image_bytes = _serialize_data(image_data, "image")
-    assert image_bytes == image_data
-    print("  [PASS] Image serialization")
-
-
-def test_deserialize_data():
-    """Test _deserialize_data function"""
-    print("\n=== Testing _deserialize_data ===")
-    
-    # Test text deserialization
-    text_bytes = b"Hello"
-    text_data = _deserialize_data(text_bytes, "text", "test-correlation-id")
-    assert text_data == "Hello"
-    print("  [PASS] Text deserialization")
-    
-    # Test dictionary deserialization
-    dict_bytes = b'{"key": "value"}'
-    dict_data = _deserialize_data(dict_bytes, "dictionary", "test-correlation-id")
-    assert dict_data == {"key": "value"}
-    print("  [PASS] Dictionary deserialization")
-    
-    # Test binary deserialization
-    binary_data = b"\x00\x01\x02"
-    binary_result = _deserialize_data(binary_data, "binary", "test-correlation-id")
-    assert binary_result == b"\x00\x01\x02"
-    print("  [PASS] Binary deserialization")
-
-
-def test_utilities():
-    """Test utility functions"""
-    print("\n=== Testing Utility Functions ===")
-    
-    # Test generate_uuid
-    uuid1 = generate_uuid()
-    uuid2 = generate_uuid()
-    assert uuid1 != uuid2
-    print(f"  [PASS] generate_uuid() - generated: {uuid1}")
-    
-    # Test get_timestamp
-    timestamp = get_timestamp()
-    assert "T" in timestamp
-    print(f"  [PASS] get_timestamp() - generated: {timestamp}")
-
-
-def main():
-    """Run all tests"""
-    print("=" * 60)
-    print("NATSBridge Python/Micropython - Basic Functionality Tests")
-    print("=" * 60)
-    
-    try:
-        test_message_payload()
-        test_message_envelope()
-        test_serialize_data()
-        test_deserialize_data()
-        test_utilities()
-        
-        print("\n" + "=" * 60)
-        print("ALL TESTS PASSED!")
-        print("=" * 60)
-        
-    except Exception as e:
-        print(f"\n[FAIL] Test failed with error: {e}")
-        import traceback
-        traceback.print_exc()
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()

test/test_micropython_dict_receiver.py

@@ -1,70 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for dictionary transport testing - Receiver
-Tests receiving dictionary messages via NATS using nats_bridge.py smartreceive
-"""
-
-import sys
-import os
-import json
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartreceive, log_trace
-import nats
-import asyncio
-
-# Configuration
-SUBJECT = "/NATSBridge_dict_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-
-
-async def main():
-    log_trace("", f"Starting dictionary transport receiver test...")
-    log_trace("", f"Note: This receiver will wait for messages from the sender.")
-    log_trace("", f"Run test_micropython_dict_sender.py first to send test data.")
-    
-    # Connect to NATS
-    nc = await nats.connect(NATS_URL)
-    log_trace("", f"Connected to NATS at {NATS_URL}")
-    
-    # Subscribe to the subject
-    async def message_handler(msg):
-        log_trace("", f"Received message on {msg.subject}")
-        
-        # Use smartreceive to handle the data
-        result = smartreceive(msg.data)
-        
-        # Result is an envelope dictionary with payloads field containing list of (dataname, data, data_type) tuples
-        for dataname, data, data_type in result["payloads"]:
-            if isinstance(data, dict):
-                log_trace(result.get("correlationId", ""), f"Received dictionary '{dataname}' of type {data_type}")
-                log_trace(result.get("correlationId", ""), f"  Keys: {list(data.keys())}")
-                
-                # Display first few items for small dicts
-                if isinstance(data, dict) and len(data) <= 10:
-                    log_trace(result.get("correlationId", ""), f"  Content: {json.dumps(data, indent=2)}")
-                else:
-                    # For large dicts, show summary
-                    log_trace(result.get("correlationId", ""), f"  Summary: {json.dumps(data, default=str)[:200]}...")
-                
-                # Save to file
-                output_path = f"./received_{dataname}.json"
-                with open(output_path, 'w') as f:
-                    json.dump(data, f, indent=2)
-                log_trace(result.get("correlationId", ""), f"Saved dictionary to {output_path}")
-            else:
-                log_trace(result.get("correlationId", ""), f"Received unexpected data type for '{dataname}': {type(data)}")
-    
-    sid = await nc.subscribe(SUBJECT, cb=message_handler)
-    log_trace("", f"Subscribed to {SUBJECT} with subscription ID: {sid}")
-    
-    # Keep listening for 120 seconds
-    await asyncio.sleep(120)
-    await nc.close()
-    log_trace("", "Test completed.")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

test/test_micropython_dict_sender.py

@@ -1,99 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for dictionary transport testing - Micropython
-Tests sending dictionary messages via NATS using nats_bridge.py smartsend
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartsend, log_trace
-import uuid
-
-# Configuration
-SUBJECT = "/NATSBridge_dict_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-FILESERVER_URL = "http://192.168.88.104:8080"
-SIZE_THRESHOLD = 1_000_000  # 1MB
-
-# Create correlation ID for tracing
-correlation_id = str(uuid.uuid4())
-
-
-def main():
-    # Create a small dictionary (will use direct transport)
-    small_dict = {
-        "name": "test",
-        "value": 42,
-        "enabled": True,
-        "metadata": {
-            "version": "1.0.0",
-            "timestamp": "2026-02-22T12:00:00Z"
-        }
-    }
-    
-    # Create a large dictionary (will use link transport if > 1MB)
-    # Generate a larger dictionary (~2MB to ensure link transport)
-    large_dict = {
-        "id": str(uuid.uuid4()),
-        "items": [
-            {
-                "index": i,
-                "name": f"item_{i}",
-                "value": i * 1.5,
-                "data": "x" * 10000  # Large string per item
-            }
-            for i in range(200)
-        ],
-        "metadata": {
-            "count": 200,
-            "created": "2026-02-22T12:00:00Z"
-        }
-    }
-    
-    # Test data 1: small dictionary
-    data1 = ("small_dict", small_dict, "dictionary")
-    
-    # Test data 2: large dictionary
-    data2 = ("large_dict", large_dict, "dictionary")
-    
-    log_trace(correlation_id, f"Starting smartsend for subject: {SUBJECT}")
-    log_trace(correlation_id, f"Correlation ID: {correlation_id}")
-    
-    # Use smartsend with dictionary type
-    env = smartsend(
-        SUBJECT,
-        [data1, data2],  # List of (dataname, data, type) tuples
-        nats_url=NATS_URL,
-        fileserver_url=FILESERVER_URL,
-        size_threshold=SIZE_THRESHOLD,
-        correlation_id=correlation_id,
-        msg_purpose="chat",
-        sender_name="dict_sender",
-        receiver_name="",
-        receiver_id="",
-        reply_to="",
-        reply_to_msg_id=""
-    )
-    
-    log_trace(correlation_id, f"Sent message with {len(env.payloads)} payloads")
-    
-    # Log transport type for each payload
-    for i, payload in enumerate(env.payloads):
-        log_trace(correlation_id, f"Payload {i+1} ('{payload.dataname}'):")
-        log_trace(correlation_id, f"  Transport: {payload.transport}")
-        log_trace(correlation_id, f"  Type: {payload.type}")
-        log_trace(correlation_id, f"  Size: {payload.size} bytes")
-        log_trace(correlation_id, f"  Encoding: {payload.encoding}")
-        
-        if payload.transport == "link":
-            log_trace(correlation_id, f"  URL: {payload.data}")
-    
-    print(f"Test completed. Correlation ID: {correlation_id}")
-
-
-if __name__ == "__main__":
-    main()

test/test_micropython_file_receiver.py

@@ -1,65 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for file transport testing - Receiver
-Tests receiving binary files via NATS using nats_bridge.py smartreceive
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartreceive, log_trace
-import nats
-import asyncio
-
-# Configuration
-SUBJECT = "/NATSBridge_file_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-
-
-async def main():
-    log_trace("", f"Starting file transport receiver test...")
-    log_trace("", f"Note: This receiver will wait for messages from the sender.")
-    log_trace("", f"Run test_micropython_file_sender.py first to send test data.")
-    
-    # Connect to NATS
-    nc = await nats.connect(NATS_URL)
-    log_trace("", f"Connected to NATS at {NATS_URL}")
-    
-    # Subscribe to the subject
-    async def message_handler(msg):
-        log_trace("", f"Received message on {msg.subject}")
-        
-        # Use smartreceive to handle the data
-        result = smartreceive(msg.data)
-        
-        # Result is an envelope dictionary with payloads field containing list of (dataname, data, data_type) tuples
-        for dataname, data, data_type in result["payloads"]:
-            if isinstance(data, bytes):
-                log_trace(result.get("correlationId", ""), f"Received binary '{dataname}' of type {data_type}")
-                log_trace(result.get("correlationId", ""), f"  Size: {len(data)} bytes")
-                
-                # Display first 100 bytes as hex
-                log_trace(result.get("correlationId", ""), f"  First 100 bytes (hex): {data[:100].hex()}")
-                
-                # Save to file
-                output_path = f"./received_{dataname}.bin"
-                with open(output_path, 'wb') as f:
-                    f.write(data)
-                log_trace(result.get("correlationId", ""), f"Saved binary to {output_path}")
-            else:
-                log_trace(result.get("correlationId", ""), f"Received unexpected data type for '{dataname}': {type(data)}")
-    
-    sid = await nc.subscribe(SUBJECT, cb=message_handler)
-    log_trace("", f"Subscribed to {SUBJECT} with subscription ID: {sid}")
-    
-    # Keep listening for 120 seconds
-    await asyncio.sleep(120)
-    await nc.close()
-    log_trace("", "Test completed.")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

test/test_micropython_file_sender.py

@@ -1,79 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for file transport testing - Micropython
-Tests sending binary files via NATS using nats_bridge.py smartsend
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartsend, log_trace
-import uuid
-
-# Configuration
-SUBJECT = "/NATSBridge_file_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-FILESERVER_URL = "http://192.168.88.104:8080"
-SIZE_THRESHOLD = 1_000_000  # 1MB
-
-# Create correlation ID for tracing
-correlation_id = str(uuid.uuid4())
-
-
-def main():
-    # Create small binary data (will use direct transport)
-    small_binary = b"This is small binary data for testing direct transport."
-    small_binary += b"\x00" * 100  # Add some null bytes
-    
-    # Create large binary data (will use link transport if > 1MB)
-    # Generate a larger binary (~2MB to ensure link transport)
-    large_binary = bytes([
-        (i * 7) % 256 for i in range(2_000_000)
-    ])
-    
-    # Test data 1: small binary (direct transport)
-    data1 = ("small_binary", small_binary, "binary")
-    
-    # Test data 2: large binary (link transport)
-    data2 = ("large_binary", large_binary, "binary")
-    
-    log_trace(correlation_id, f"Starting smartsend for subject: {SUBJECT}")
-    log_trace(correlation_id, f"Correlation ID: {correlation_id}")
-    
-    # Use smartsend with binary type
-    env = smartsend(
-        SUBJECT,
-        [data1, data2],  # List of (dataname, data, type) tuples
-        nats_url=NATS_URL,
-        fileserver_url=FILESERVER_URL,
-        size_threshold=SIZE_THRESHOLD,
-        correlation_id=correlation_id,
-        msg_purpose="chat",
-        sender_name="file_sender",
-        receiver_name="",
-        receiver_id="",
-        reply_to="",
-        reply_to_msg_id=""
-    )
-    
-    log_trace(correlation_id, f"Sent message with {len(env.payloads)} payloads")
-    
-    # Log transport type for each payload
-    for i, payload in enumerate(env.payloads):
-        log_trace(correlation_id, f"Payload {i+1} ('{payload.dataname}'):")
-        log_trace(correlation_id, f"  Transport: {payload.transport}")
-        log_trace(correlation_id, f"  Type: {payload.type}")
-        log_trace(correlation_id, f"  Size: {payload.size} bytes")
-        log_trace(correlation_id, f"  Encoding: {payload.encoding}")
-        
-        if payload.transport == "link":
-            log_trace(correlation_id, f"  URL: {payload.data}")
-    
-    print(f"Test completed. Correlation ID: {correlation_id}")
-
-
-if __name__ == "__main__":
-    main()

test/test_micropython_mixed_receiver.py

@@ -1,97 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for mixed payload testing - Receiver
-Tests receiving mixed payload types via NATS using nats_bridge.py smartreceive
-"""
-
-import sys
-import os
-import json
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartreceive, log_trace
-import nats
-import asyncio
-
-# Configuration
-SUBJECT = "/NATSBridge_mixed_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-
-
-async def main():
-    log_trace("", f"Starting mixed payload receiver test...")
-    log_trace("", f"Note: This receiver will wait for messages from the sender.")
-    log_trace("", f"Run test_micropython_mixed_sender.py first to send test data.")
-    
-    # Connect to NATS
-    nc = await nats.connect(NATS_URL)
-    log_trace("", f"Connected to NATS at {NATS_URL}")
-    
-    # Subscribe to the subject
-    async def message_handler(msg):
-        log_trace("", f"Received message on {msg.subject}")
-        
-        # Use smartreceive to handle the data
-        result = smartreceive(msg.data)
-        
-        log_trace(result.get("correlationId", ""), f"Received envelope with {len(result['payloads'])} payloads")
-        
-        # Result is an envelope dictionary with payloads field containing list of (dataname, data, data_type) tuples
-        for dataname, data, data_type in result["payloads"]:
-            log_trace(result.get("correlationId", ""), f"\n--- Payload: {dataname} (type: {data_type}) ---")
-            
-            if isinstance(data, str):
-                log_trace(result.get("correlationId", ""), f"  Type: text/string")
-                log_trace(result.get("correlationId", ""), f"  Length: {len(data)} characters")
-                if len(data) <= 100:
-                    log_trace(result.get("correlationId", ""), f"  Content: {data}")
-                else:
-                    log_trace(result.get("correlationId", ""), f"  First 100 chars: {data[:100]}...")
-                # Save to file
-                output_path = f"./received_{dataname}.txt"
-                with open(output_path, 'w') as f:
-                    f.write(data)
-                log_trace(result.get("correlationId", ""), f"  Saved to: {output_path}")
-                
-            elif isinstance(data, dict):
-                log_trace(result.get("correlationId", ""), f"  Type: dictionary")
-                log_trace(result.get("correlationId", ""), f"  Keys: {list(data.keys())}")
-                log_trace(result.get("correlationId", ""), f"  Content: {json.dumps(data, indent=2)}")
-                # Save to file
-                output_path = f"./received_{dataname}.json"
-                with open(output_path, 'w') as f:
-                    json.dump(data, f, indent=2)
-                log_trace(result.get("correlationId", ""), f"  Saved to: {output_path}")
-                
-            elif isinstance(data, bytes):
-                log_trace(result.get("correlationId", ""), f"  Type: binary")
-                log_trace(result.get("correlationId", ""), f"  Size: {len(data)} bytes")
-                log_trace(result.get("correlationId", ""), f"  First 100 bytes (hex): {data[:100].hex()}")
-                # Save to file
-                output_path = f"./received_{dataname}.bin"
-                with open(output_path, 'wb') as f:
-                    f.write(data)
-                log_trace(result.get("correlationId", ""), f"  Saved to: {output_path}")
-            else:
-                log_trace(result.get("correlationId", ""), f"  Received unexpected data type: {type(data)}")
-        
-        # Log envelope metadata
-        log_trace(result.get("correlationId", ""), f"\n--- Envelope Metadata ---")
-        log_trace(result.get("correlationId", ""), f"  Correlation ID: {result.get('correlationId', 'N/A')}")
-        log_trace(result.get("correlationId", ""), f"  Message ID: {result.get('msgId', 'N/A')}")
-        log_trace(result.get("correlationId", ""), f"  Sender: {result.get('senderName', 'N/A')}")
-        log_trace(result.get("correlationId", ""), f"  Purpose: {result.get('msgPurpose', 'N/A')}")
-    
-    sid = await nc.subscribe(SUBJECT, cb=message_handler)
-    log_trace("", f"Subscribed to {SUBJECT} with subscription ID: {sid}")
-    
-    # Keep listening for 120 seconds
-    await asyncio.sleep(120)
-    await nc.close()
-    log_trace("", "Test completed.")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

test/test_micropython_mixed_sender.py

@@ -1,93 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for mixed payload testing - Micropython
-Tests sending mixed payload types via NATS using nats_bridge.py smartsend
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartsend, log_trace
-import uuid
-
-# Configuration
-SUBJECT = "/NATSBridge_mixed_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-FILESERVER_URL = "http://192.168.88.104:8080"
-SIZE_THRESHOLD = 1_000_000  # 1MB
-
-# Create correlation ID for tracing
-correlation_id = str(uuid.uuid4())
-
-
-def main():
-    # Create payloads for mixed content test
-    
-    # 1. Small text (direct transport)
-    text_data = "Hello, this is a text message for testing mixed payloads!"
-    
-    # 2. Small dictionary (direct transport)
-    dict_data = {
-        "status": "ok",
-        "code": 200,
-        "message": "Test successful",
-        "items": [1, 2, 3]
-    }
-    
-    # 3. Small binary (direct transport)
-    binary_data = b"\x00\x01\x02\x03\x04\x05" + b"\xff" * 100
-    
-    # 4. Large text (link transport - will use fileserver)
-    large_text = "\n".join([
-        f"Line {i}: This is a large text payload for link transport testing. " * 50
-        for i in range(100)
-    ])
-    
-    # Test data list - mixed payload types
-    data = [
-        ("message_text", text_data, "text"),
-        ("config_dict", dict_data, "dictionary"),
-        ("small_binary", binary_data, "binary"),
-        ("large_text", large_text, "text"),
-    ]
-    
-    log_trace(correlation_id, f"Starting smartsend for subject: {SUBJECT}")
-    log_trace(correlation_id, f"Correlation ID: {correlation_id}")
-    
-    # Use smartsend with mixed types
-    env = smartsend(
-        SUBJECT,
-        data,  # List of (dataname, data, type) tuples
-        nats_url=NATS_URL,
-        fileserver_url=FILESERVER_URL,
-        size_threshold=SIZE_THRESHOLD,
-        correlation_id=correlation_id,
-        msg_purpose="chat",
-        sender_name="mixed_sender",
-        receiver_name="",
-        receiver_id="",
-        reply_to="",
-        reply_to_msg_id=""
-    )
-    
-    log_trace(correlation_id, f"Sent message with {len(env.payloads)} payloads")
-    
-    # Log transport type for each payload
-    for i, payload in enumerate(env.payloads):
-        log_trace(correlation_id, f"Payload {i+1} ('{payload.dataname}'):")
-        log_trace(correlation_id, f"  Transport: {payload.transport}")
-        log_trace(correlation_id, f"  Type: {payload.type}")
-        log_trace(correlation_id, f"  Size: {payload.size} bytes")
-        log_trace(correlation_id, f"  Encoding: {payload.encoding}")
-        
-        if payload.transport == "link":
-            log_trace(correlation_id, f"  URL: {payload.data}")
-    
-    print(f"Test completed. Correlation ID: {correlation_id}")
-
-
-if __name__ == "__main__":
-    main()

test/test_micropython_text_receiver.py

@@ -1,69 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for text transport testing - Receiver
-Tests receiving text messages via NATS using nats_bridge.py smartreceive
-"""
-
-import sys
-import os
-import json
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartreceive, log_trace
-import nats
-import asyncio
-
-# Configuration
-SUBJECT = "/NATSBridge_text_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-
-
-async def main():
-    log_trace("", f"Starting text transport receiver test...")
-    log_trace("", f"Note: This receiver will wait for messages from the sender.")
-    log_trace("", f"Run test_micropython_text_sender.py first to send test data.")
-    
-    # Connect to NATS
-    nc = await nats.connect(NATS_URL)
-    log_trace("", f"Connected to NATS at {NATS_URL}")
-    
-    # Subscribe to the subject
-    async def message_handler(msg):
-        log_trace("", f"Received message on {msg.subject}")
-        
-        # Use smartreceive to handle the data
-        result = smartreceive(msg.data)
-        
-        # Result is an envelope dictionary with payloads field containing list of (dataname, data, data_type) tuples
-        for dataname, data, data_type in result["payloads"]:
-            if isinstance(data, str):
-                log_trace(result.get("correlationId", ""), f"Received text '{dataname}' of type {data_type}")
-                log_trace(result.get("correlationId", ""), f"  Length: {len(data)} characters")
-                
-                # Display first 100 characters
-                if len(data) > 100:
-                    log_trace(result.get("correlationId", ""), f"  First 100 characters: {data[:100]}...")
-                else:
-                    log_trace(result.get("correlationId", ""), f"  Content: {data}")
-                
-                # Save to file
-                output_path = f"./received_{dataname}.txt"
-                with open(output_path, 'w') as f:
-                    f.write(data)
-                log_trace(result.get("correlationId", ""), f"Saved text to {output_path}")
-            else:
-                log_trace(result.get("correlationId", ""), f"Received unexpected data type for '{dataname}': {type(data)}")
-    
-    sid = await nc.subscribe(SUBJECT, cb=message_handler)
-    log_trace("", f"Subscribed to {SUBJECT} with subscription ID: {sid}")
-    
-    # Keep listening for 120 seconds
-    await asyncio.sleep(120)
-    await nc.close()
-    log_trace("", "Test completed.")
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

test/test_micropython_text_sender.py

@@ -1,81 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script for text transport testing - Micropython
-Tests sending text messages via NATS using nats_bridge.py smartsend
-"""
-
-import sys
-import os
-
-# Add src to path for import
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
-
-from nats_bridge import smartsend, log_trace
-import uuid
-
-# Configuration
-SUBJECT = "/NATSBridge_text_test"
-NATS_URL = "nats://nats.yiem.cc:4222"
-FILESERVER_URL = "http://192.168.88.104:8080"
-SIZE_THRESHOLD = 1_000_000  # 1MB
-
-# Create correlation ID for tracing
-correlation_id = str(uuid.uuid4())
-
-
-def main():
-    # Create a small text (will use direct transport)
-    small_text = "Hello, this is a small text message. Testing direct transport via NATS."
-    
-    # Create a large text (will use link transport if > 1MB)
-    # Generate a larger text (~2MB to ensure link transport)
-    large_text = "\n".join([
-        f"Line {i}: This is a sample text line with some content to pad the size. " * 100 
-        for i in range(500)
-    ])
-    
-    # Test data 1: small text
-    data1 = ("small_text", small_text, "text")
-    
-    # Test data 2: large text
-    data2 = ("large_text", large_text, "text")
-    
-    log_trace(correlation_id, f"Starting smartsend for subject: {SUBJECT}")
-    log_trace(correlation_id, f"Correlation ID: {correlation_id}")
-    
-    # Use smartsend with text type
-    # For small text: will use direct transport (Base64 encoded UTF-8)
-    # For large text: will use link transport (uploaded to fileserver)
-    env = smartsend(
-        SUBJECT,
-        [data1, data2],  # List of (dataname, data, type) tuples
-        nats_url=NATS_URL,
-        fileserver_url=FILESERVER_URL,
-        size_threshold=SIZE_THRESHOLD,
-        correlation_id=correlation_id,
-        msg_purpose="chat",
-        sender_name="text_sender",
-        receiver_name="",
-        receiver_id="",
-        reply_to="",
-        reply_to_msg_id=""
-    )
-    
-    log_trace(correlation_id, f"Sent message with {len(env.payloads)} payloads")
-    
-    # Log transport type for each payload
-    for i, payload in enumerate(env.payloads):
-        log_trace(correlation_id, f"Payload {i+1} ('{payload.dataname}'):")
-        log_trace(correlation_id, f"  Transport: {payload.transport}")
-        log_trace(correlation_id, f"  Type: {payload.type}")
-        log_trace(correlation_id, f"  Size: {payload.size} bytes")
-        log_trace(correlation_id, f"  Encoding: {payload.encoding}")
-        
-        if payload.transport == "link":
-            log_trace(correlation_id, f"  URL: {payload.data}")
-    
-    print(f"Test completed. Correlation ID: {correlation_id}")
-
-
-if __name__ == "__main__":
-    main()