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docs/IMPLEMENTATION.md
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@@ -4,6 +4,32 @@
This document describes the implementation of the high-performance, bi-directional data bridge between Julia and JavaScript services using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads. This document describes the implementation of the high-performance, bi-directional data bridge between Julia and JavaScript services using NATS (Core & JetStream), implementing the Claim-Check pattern for large payloads.
### Multi-Payload Support
The implementation 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:**
```julia
# Input format for smartsend (always a list of tuples)
[(dataname1, data1), (dataname2, data2), ...]
# Output format for smartreceive (always returns a list of tuples)
[(dataname1, data1), (dataname2, data2), ...]
```
**Examples:**
```julia
# Single payload - still wrapped in a list
smartsend("/test", [(dataname1, data1)], ...)
# Multiple payloads in one message
smartsend("/test", [(dataname1, data1), (dataname2, data2)], ...)
# Receive always returns a list
payloads = smartreceive(msg, ...)
# payloads = [(dataname1, data1), (dataname2, data2), ...]
```
## Architecture ## Architecture
The implementation follows the Claim-Check pattern: The implementation follows the Claim-Check pattern:
@@ -107,20 +133,66 @@ node test/scenario3_julia_to_julia.js
## Usage ## Usage
### Scenario 0: Basic Multi-Payload Example
#### Julia (Sender)
```julia
using NATSBridge
# Send multiple payloads in one message
smartsend(
"/test",
[("dataname1", data1), ("dataname2", data2)],
nats_url="nats://localhost:4222",
fileserver_url="http://localhost:8080/upload",
metadata=Dict("custom_key" => "custom_value")
)
# Even single payload must be wrapped in a list
smartsend("/test", [("single_data", mydata)])
```
#### Julia (Receiver)
```julia
using NATSBridge
# Receive returns a list of payloads
payloads = smartreceive(msg, "http://localhost:8080/upload")
# payloads = [(dataname1, data1), (dataname2, data2), ...]
```
### Scenario 1: Command & Control (Small JSON) ### Scenario 1: Command & Control (Small JSON)
#### JavaScript (Sender) #### JavaScript (Sender)
```javascript ```javascript
const { SmartSend } = require('./js_bridge'); const { SmartSend } = require('./js_bridge');
const config = { // Single payload wrapped in a list
step_size: 0.01, const config = [{
iterations: 1000 dataname: "config",
}; data: { step_size: 0.01, iterations: 1000 },
type: "json"
}];
await SmartSend("control", config, "json", { await SmartSend("control", config, "json", {
correlationId: "unique-id" correlationId: "unique-id"
}); });
// Multiple payloads
const configs = [
{
dataname: "config1",
data: { step_size: 0.01 },
type: "json"
},
{
dataname: "config2",
data: { iterations: 1000 },
type: "json"
}
];
await SmartSend("control", configs, "json");
``` ```
#### Julia (Receiver) #### Julia (Receiver)
@@ -157,8 +229,8 @@ df = DataFrame(
category = rand(["A", "B", "C"], 10_000_000) category = rand(["A", "B", "C"], 10_000_000)
) )
# Send via SmartSend with type="table" # Send via SmartSend - wrapped in a list
await SmartSend("analysis_results", df, "table"); await SmartSend("analysis_results", [("table_data", df)], "table");
``` ```
#### JavaScript (Receiver) #### JavaScript (Receiver)
@@ -177,8 +249,12 @@ const table = result.data;
```javascript ```javascript
const { SmartSend } = require('./js_bridge'); const { SmartSend } = require('./js_bridge');
// Capture binary chunk // Binary data wrapped in a list
const binaryData = await navigator.mediaDevices.getUserMedia({ binary: true }); const binaryData = [{
dataname: "audio_chunk",
data: binaryBuffer,
type: "binary"
}];
await SmartSend("binary_input", binaryData, "binary", { await SmartSend("binary_input", binaryData, "binary", {
metadata: { metadata: {
@@ -208,17 +284,14 @@ end
#### Julia (Producer) #### Julia (Producer)
```julia ```julia
using NATS using NATSBridge
function publish_health_status(nats) function publish_health_status(nats_url)
jetstream = JetStream(nats, "health_updates") # Send status wrapped in a list
while true
status = Dict("cpu" => rand(), "memory" => rand()) status = Dict("cpu" => rand(), "memory" => rand())
publish(jetstream, "health", status) smartsend("health", [("status", status)], "json", nats_url=nats_url)
sleep(5) # Every 5 seconds sleep(5) # Every 5 seconds
end end
end
``` ```
#### JavaScript (Consumer) #### JavaScript (Consumer)
@@ -238,7 +311,8 @@ const consumer = await js.pullSubscribe("health", {
// Process historical and real-time messages // Process historical and real-time messages
for await (const msg of consumer) { for await (const msg of consumer) {
const result = await SmartReceive(msg); const result = await SmartReceive(msg);
// Process the data // result.data contains the list of payloads
// result.envelope contains the message envelope
msg.ack(); msg.ack();
} }
``` ```
@@ -257,17 +331,40 @@ for await (const msg of consumer) {
```json ```json
{ {
"correlation_id": "uuid-v4-string", "correlationId": "uuid-v4-string",
"type": "json|table|binary", "msgId": "uuid-v4-string",
"transport": "direct|link", "timestamp": "2024-01-15T10:30:00Z",
"payload": "base64-encoded-string", // Only if transport=direct
"url": "http://fileserver/path/to/data", // Only if transport=link "sendTo": "topic/subject",
"msgPurpose": "ACK | NACK | updateStatus | shutdown | chat",
"senderName": "agent-wine-web-frontend",
"senderId": "uuid4",
"receiverName": "agent-backend",
"receiverId": "uuid4",
"replyTo": "topic",
"replyToMsgId": "uuid4",
"BrokerURL": "nats://localhost:4222",
"metadata": { "metadata": {
"content_type": "application/octet-stream", "content_type": "application/octet-stream",
"content_length": 123456, "content_length": 123456
"format": "arrow_ipc_stream" },
"payloads": [
{
"id": "uuid4",
"dataname": "login_image",
"type": "image",
"transport": "direct",
"encoding": "base64",
"size": 15433,
"data": "base64-encoded-string",
"metadata": {
"checksum": "sha256_hash"
} }
} }
]
}
``` ```
## Performance Considerations ## Performance Considerations

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docs/architecture.md
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This document describes the architecture for a high-performance, bi-directional data bridge between a Julia service and a JavaScript (Node.js) service 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 between a Julia service and a JavaScript (Node.js) service using NATS (Core & JetStream), implementing the Claim-Check pattern for large 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:**
```julia
# Upload handler - uploads data to file server and returns URL
fileserverUploadHandler(fileserver_url::String, dataname::String, data::Vector{UInt8})::Dict{String, Any}
# Download handler - fetches data from file server URL
fileserverDownloadHandler(fileserver_url::String, url::String, max_retries::Int, base_delay::Int, max_delay::Int)::Vector{UInt8}
```
This design allows the system to support multiple file server backends without changing the core messaging logic.
### 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:**
```julia
# Input format for smartsend (always a list of tuples)
[(dataname1, data1), (dataname2, data2), ...]
# Output format for smartreceive (always returns a list of tuples)
[(dataname1, data1), (dataname2, data2), ...]
```
**Examples:**
```julia
# Single payload - still wrapped in a list
smartsend(
"/test",
[("dataname1", data1)], # List with one tuple
nats_url="nats://localhost:4222",
fileserverUploadHandler=plik_oneshot_upload,
metadata=user_provided_envelope_level_metadata
)
# Multiple payloads in one message
smartsend(
"/test",
[("dataname1", data1), ("dataname2", data2)],
nats_url="nats://localhost:4222",
fileserverUploadHandler=plik_oneshot_upload
)
# Receive always returns a list
payloads = smartreceive(msg, fileserverDownloadHandler, max_retries, base_delay, max_delay)
# payloads = [("dataname1", data1), ("dataname2", data2), ...]
```
## Architecture Diagram ## Architecture Diagram
```mermaid ```mermaid
@@ -34,30 +88,113 @@ flowchart TD
## System Components ## System Components
### 1. Unified JSON Envelope Schema ### 1. msgEnvelope_v1 - Message Envelope
All messages use a standardized envelope format: The `msgEnvelope_v1` structure provides a comprehensive message format for bidirectional communication between Julia and JavaScript services.
**Julia Structure:**
```julia
struct msgEnvelope_v1
correlationId::String # Unique identifier to track messages across systems
msgId::String # This message id
timestamp::String # Message published timestamp
sendTo::String # Topic/subject the sender sends to
msgPurpose::String # Purpose of this message (ACK | NACK | updateStatus | shutdown | ...)
senderName::String # Sender name (e.g., "agent-wine-web-frontend")
senderId::String # Sender id (uuid4)
receiverName::String # Message receiver name (e.g., "agent-backend")
receiverId::String # Message receiver id (uuid4 or nothing for broadcast)
replyTo::String # Topic to reply to
replyToMsgId::String # Message id this message is replying to
brokerURL::String # NATS server address
metadata::Dict{String, Any}
payloads::AbstractArray{msgPayload_v1} # Multiple payloads stored here
end
```
**JSON Schema:**
```json ```json
{ {
"correlation_id": "uuid-v4-string", "correlationId": "uuid-v4-string",
"type": "json|table|binary", "msgId": "uuid-v4-string",
"transport": "direct|link", "timestamp": "2024-01-15T10:30:00Z",
"payload": "base64-encoded-string", // Only if transport=direct
"url": "http://fileserver/path/to/data", // Only if transport=link "sendTo": "topic/subject",
"msgPurpose": "ACK | NACK | updateStatus | shutdown | chat",
"senderName": "agent-wine-web-frontend",
"senderId": "uuid4",
"receiverName": "agent-backend",
"receiverId": "uuid4",
"replyTo": "topic",
"replyToMsgId": "uuid4",
"brokerURL": "nats://localhost:4222",
"metadata": { "metadata": {
"content_type": "application/octet-stream", "content_type": "application/octet-stream",
"content_length": 123456, "content_length": 123456
"format": "arrow_ipc_stream" },
"payloads": [
{
"id": "uuid4",
"dataname": "login_image",
"type": "image",
"transport": "direct",
"encoding": "base64",
"size": 15433,
"data": "base64-encoded-string",
"metadata": {
"checksum": "sha256_hash"
} }
},
{
"id": "uuid4",
"dataname": "large_data",
"type": "table",
"transport": "link",
"encoding": "none",
"size": 524288,
"data": "http://localhost:8080/file/UPLOAD_ID/FILE_ID/data.arrow",
"metadata": {
"checksum": "sha256_hash"
}
}
]
} }
``` ```
### 2. Transport Strategy Decision Logic ### 2. msgPayload_v1 - Payload Structure
The `msgPayload_v1` structure provides flexible payload handling for various data types.
**Julia Structure:**
```julia
struct msgPayload_v1
id::String # Id of this payload (e.g., "uuid4")
dataname::String # Name of this payload (e.g., "login_image")
type::String # "text | json | table | image | audio | video | binary"
transport::String # "direct | link"
encoding::String # "none | json | base64 | arrow-ipc"
size::Integer # Data size in bytes
data::Any # Payload data in case of direct transport or a URL in case of link
metadata::Dict{String, Any} # Dict("checksum" => "sha256_hash", ...)
end
```
**Key Features:**
- Supports multiple data types: text, json, table, image, audio, video, binary
- Flexible transport: "direct" (NATS) or "link" (HTTP fileserver)
- Multiple payloads per message (essential for chat with mixed content)
- Per-payload and per-envelope metadata support
### 3. Transport Strategy Decision Logic
``` ```
┌─────────────────────────────────────────────────────────────┐ ┌─────────────────────────────────────────────────────────────┐
│ SmartSend Function │ │ smartsend Function │
│ Accepts: [(dataname1, data1), (dataname2, data2), ...] │
└─────────────────────────────────────────────────────────────┘ └─────────────────────────────────────────────────────────────┘
│ │
▼ ▼
@@ -65,7 +202,7 @@ All messages use a standardized envelope format:
│ Is payload size < 1MB? │ │ Is payload size < 1MB? │
└─────────────────────────────────────────────────────────────┘ └─────────────────────────────────────────────────────────────┘
│ │
┌─────────────────┴─────────────────┐ ┌────────────────┴─-────────────────┐
▼ ▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Direct Path │ │ Link Path │ │ Direct Path │ │ Link Path │
@@ -76,23 +213,24 @@ All messages use a standardized envelope format:
│ • Base64 encode │ │ • Upload to │ │ • Base64 encode │ │ • Upload to │
│ • Publish to │ │ HTTP Server │ │ • Publish to │ │ HTTP Server │
│ NATS │ │ • Publish to │ │ NATS │ │ • Publish to │
│ │ │ NATS with URL │ │ (with payload │ │ NATS with URL │
│ in envelope) │ │ (in envelope) │
└─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘
``` ```
### 3. Julia Module Architecture ### 4. Julia Module Architecture
```mermaid ```mermaid
graph TD graph TD
subgraph JuliaModule subgraph JuliaModule
SmartSendJulia[SmartSend Julia] smartsendJulia[smartsend Julia]
SizeCheck[Size Check] SizeCheck[Size Check]
DirectPath[Direct Path] DirectPath[Direct Path]
LinkPath[Link Path] LinkPath[Link Path]
HTTPClient[HTTP Client] HTTPClient[HTTP Client]
end end
SmartSendJulia --> SizeCheck smartsendJulia --> SizeCheck
SizeCheck -->|< 1MB| DirectPath SizeCheck -->|< 1MB| DirectPath
SizeCheck -->|>= 1MB| LinkPath SizeCheck -->|>= 1MB| LinkPath
LinkPath --> HTTPClient LinkPath --> HTTPClient
@@ -100,19 +238,19 @@ graph TD
style JuliaModule fill:#c5e1a5 style JuliaModule fill:#c5e1a5
``` ```
### 4. JavaScript Module Architecture ### 5. JavaScript Module Architecture
```mermaid ```mermaid
graph TD graph TD
subgraph JSModule subgraph JSModule
SmartSendJS[SmartSend JS] smartsendJS[smartsend JS]
SmartReceiveJS[SmartReceive JS] smartreceiveJS[smartreceive JS]
JetStreamConsumer[JetStream Pull Consumer] JetStreamConsumer[JetStream Pull Consumer]
ApacheArrow[Apache Arrow] ApacheArrow[Apache Arrow]
end end
SmartSendJS --> NATS smartsendJS --> NATS
SmartReceiveJS --> JetStreamConsumer smartreceiveJS --> JetStreamConsumer
JetStreamConsumer --> ApacheArrow JetStreamConsumer --> ApacheArrow
style JSModule fill:#f3e5f5 style JSModule fill:#f3e5f5
@@ -129,37 +267,64 @@ graph TD
- `HTTP.jl` - HTTP client for file server - `HTTP.jl` - HTTP client for file server
- `Dates.jl` - Timestamps for logging - `Dates.jl` - Timestamps for logging
#### SmartSend Function #### smartsend Function
```julia ```julia
function SmartSend( function smartsend(
subject::String, subject::String,
data::Any, data::AbstractArray{Tuple{String, Any}},
type::String = "json"; type::String = "json";
nats_url::String = "nats://localhost:4222", nats_url::String = "nats://localhost:4222",
fileserver_url::String = "http://localhost:8080/upload", fileserverUploadHandler::Function = plik_oneshot_upload,
size_threshold::Int = 1_000_000 # 1MB size_threshold::Int = 1_000_000 # 1MB
) )
``` ```
**Flow:** **Input Format:**
1. Serialize data to Arrow IPC stream (if table) - `data::AbstractArray{Tuple{String, Any}}` - **Must be a list of tuples**: `[("dataname1", data1), ("dataname2", data2), ...]`
2. Check payload size - Even for single payloads: `[(dataname1, data1)]`
3. If < threshold: publish directly to NATS with Base64-encoded payload
4. If >= threshold: upload to HTTP server, publish NATS with URL
#### SmartReceive Handler **Flow:**
1. Iterate through the list of `("dataname", data)` tuples
2. For each payload: serialize to Arrow IPC stream (if table) or JSON
3. Check payload size
4. If < threshold: publish directly to NATS with Base64-encoded payload
5. If >= threshold: upload to HTTP server, publish NATS with URL
#### smartreceive Handler
```julia ```julia
function SmartReceive(msg::NATS.Message) function smartreceive(
msg::NATS.Message;
fileserverDownloadHandler::Function,
max_retries::Int = 5,
base_delay::Int = 100,
max_delay::Int = 5000
)
# Parse envelope # Parse envelope
# Check transport type # Iterate through all payloads
# For each payload: check transport type
# If direct: decode Base64 payload # If direct: decode Base64 payload
# If link: fetch from URL with exponential backoff # If link: fetch from URL with exponential backoff using fileserverDownloadHandler
# Deserialize Arrow IPC to DataFrame # Deserialize payload based on type
# Return list of (dataname, data) tuples
end end
``` ```
**Output Format:**
- Always returns a list of tuples: `[(dataname1, data1), (dataname2, data2), ...]`
- Even for single payloads: `[(dataname1, data1)]`
**Process Flow:**
1. Parse the JSON envelope to extract the `payloads` array
2. Iterate through each payload in `payloads`
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
- Deserialize based on payload type (`json`, `table`, `binary`, etc.)
4. Return list of `(dataname, data)` tuples
### JavaScript Implementation ### JavaScript Implementation
#### Dependencies #### Dependencies
@@ -167,10 +332,13 @@ end
- `apache-arrow` - Arrow IPC serialization - `apache-arrow` - Arrow IPC serialization
- `uuid` - Correlation ID generation - `uuid` - Correlation ID generation
#### SmartSend Function #### smartsend Function
```javascript ```javascript
async function SmartSend(subject, data, type = 'json', options = {}) async function smartsend(subject, data, type = 'json', options = {})
// options object should include:
// - fileserverUploadHandler: function to upload data to file server
// - fileserver_url: base URL of the file server
``` ```
**Flow:** **Flow:**
@@ -179,18 +347,27 @@ async function SmartSend(subject, data, type = 'json', options = {})
3. If < threshold: publish directly to NATS 3. If < threshold: publish directly to NATS
4. If >= threshold: upload to HTTP server, publish NATS with URL 4. If >= threshold: upload to HTTP server, publish NATS with URL
#### SmartReceive Handler #### smartreceive Handler
```javascript ```javascript
async function SmartReceive(msg, options = {}) async function smartreceive(msg, options = {})
// options object should include:
// - fileserverDownloadHandler: function to fetch data from file server URL
// - fileserver_url: base URL of the file server
// - 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
``` ```
**Flow:** **Process Flow:**
1. Parse envelope 1. Parse the JSON envelope to extract the `payloads` array
2. Check transport type 2. Iterate through each payload in `payloads`
3. If direct: decode Base64 payload 3. For each payload:
4. If link: fetch with exponential backoff - Determine transport type (`direct` or `link`)
5. Deserialize Arrow IPC with zero-copy - If `direct`: decode Base64 data from the message
- If `link`: fetch data from URL using exponential backoff
- Deserialize based on payload type (`json`, `table`, `binary`, etc.)
4. Return list of `(dataname, data)` tuples
## Scenario Implementations ## Scenario Implementations
@@ -207,7 +384,7 @@ async function SmartReceive(msg, options = {})
**JavaScript (Sender):** **JavaScript (Sender):**
```javascript ```javascript
// Create small JSON config // Create small JSON config
// Send via SmartSend with type="json" // Send via smartsend with type="json"
``` ```
### Scenario 2: Deep Dive Analysis (Large Arrow Table) ### Scenario 2: Deep Dive Analysis (Large Arrow Table)
@@ -235,7 +412,7 @@ async function SmartReceive(msg, options = {})
```javascript ```javascript
// Capture audio chunk // Capture audio chunk
// Send as binary with metadata headers // Send as binary with metadata headers
// Use SmartSend with type="audio" // Use smartsend with type="audio"
``` ```
**Julia (Receiver):** **Julia (Receiver):**
@@ -260,6 +437,76 @@ async function SmartReceive(msg, options = {})
// Process historical and real-time messages // Process historical and real-time messages
``` ```
### Scenario 5: Selection (Low Bandwidth)
**Focus:** Small Arrow tables, Julia to JavaScript. The Action: Julia wants to send a small DataFrame to show on a JavaScript dashboard for the user to choose.
**Julia (Sender):**
```julia
# 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
```
**JavaScript (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
```
**Use Case:** Julia server generates a list of available options (e.g., file selections, configuration presets) as a small DataFrame and sends to JavaScript dashboard for user selection. The selection is then sent back to Julia 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.
**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.
**Julia (Sender/Receiver):**
```julia
# 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
```
**JavaScript (Sender/Receiver):**
```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
```
**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.
**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 ## Performance Considerations
### Zero-Copy Reading ### Zero-Copy Reading
@@ -280,8 +527,8 @@ async function SmartReceive(msg, options = {})
## Testing Strategy ## Testing Strategy
### Unit Tests ### Unit Tests
- Test SmartSend with various payload sizes - Test smartsend with various payload sizes
- Test SmartReceive with direct and link transport - Test smartreceive with direct and link transport
- Test Arrow IPC serialization/deserialization - Test Arrow IPC serialization/deserialization
### Integration Tests ### Integration Tests

362
src/NATSBridge.jl
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@@ -18,12 +18,12 @@ const DEFAULT_FILESERVER_URL = "http://localhost:8080/upload" # Default HTTP fi
struct msgPayload_v1 struct msgPayload_v1
id::String # id of this payload e.g. "uuid4" id::String # id of this payload e.g. "uuid4"
dataname::String # name of this payload e.g. "login_image" dataname::String # name of this payload e.g. "login_image"
type::String # "text | json | table | image | audio | video | binary" type::String # this payload type. Can be "text | json | table | image | audio | video | binary"
transport::String # "direct | link" transport::String # "direct | link"
encoding::String # "none | json | base64 | arrow-ipc" encoding::String # "none | json | base64 | arrow-ipc"
size::Integer # data size in bytes e.g. 15433 size::Integer # data size in bytes e.g. 15433
data::Any # payload data in case of direct transport or a URL in case of link data::Any # payload data in case of direct transport or a URL in case of link
metadata::Dict{String, Any} # Dict("checksum=> "sha256_hash", ...) metadata::Dict{String, Any} # Dict("checksum=> "sha256_hash", ...) This metadata is for this payload
end end
# constructor # constructor
@@ -64,7 +64,7 @@ struct msgEnvelope_v1
replyTo::String # sender ask receiver to reply to this topic replyTo::String # sender ask receiver to reply to this topic
replyToMsgId::String # the message id this message is replying to replyToMsgId::String # the message id this message is replying to
BrokerURL::String # mqtt/NATS server address brokerURL::String # mqtt/NATS server address
metadata::Dict{String, Any} metadata::Dict{String, Any}
payloads::AbstractArray{msgPayload_v1} # multiple payload store here payloads::AbstractArray{msgPayload_v1} # multiple payload store here
@@ -83,7 +83,7 @@ function msgEnvelope_v1(
receiverId::String = "", receiverId::String = "",
replyTo::String = "", replyTo::String = "",
replyToMsgId::String = "", replyToMsgId::String = "",
BrokerURL::String = DEFAULT_NATS_URL, brokerURL::String = DEFAULT_NATS_URL,
metadata::Dict{String, Any} = Dict{String, Any}(), metadata::Dict{String, Any} = Dict{String, Any}(),
payloads::AbstractArray{msgPayload_v1} = msgPayload_v1[] payloads::AbstractArray{msgPayload_v1} = msgPayload_v1[]
) )
@@ -99,7 +99,7 @@ function msgEnvelope_v1(
receiverId, receiverId,
replyTo, replyTo,
replyToMsgId, replyToMsgId,
BrokerURL, brokerURL,
metadata, metadata,
payloads payloads
) )
@@ -107,94 +107,74 @@ end
""" Convert msgEnvelope_v1 to JSON string
This function converts the msgEnvelope_v1 struct to a JSON string representation.
""" Struct for the unified JSON envelope
This struct represents a standardized message format that can carry either
direct payload data or a URL reference, allowing flexible transport strategies
based on payload size and requirements.
""" """
struct MessageEnvelope function envelope_to_json(env::msgEnvelope_v1)
correlation_id::String # Unique identifier to track messages across systems
type::String # Data type indicator (e.g., "json", "table", "binary")
transport::String # Transport strategy: "direct" (base64 encoded bytes) or "link" (URL reference)
payload::Union{String, Nothing} # Base64-encoded payload for direct transport
url::Union{String, Nothing} # URL reference for link transport
metadata::Dict{String, Any} # Additional metadata about the payload
end
""" Constructor for MessageEnvelope with keyword arguments and defaults
This constructor provides a convenient way to create an envelope using keyword arguments,
automatically generating a correlation ID if not provided, and defaulting to "json" type
and "direct" transport.
"""
function MessageEnvelope(
; correlation_id::String = string(uuid4()), # Generate unique ID if not provided
type::String = "json", # Default data type
transport::String = "direct", # Default transport method
payload::Union{String, Nothing} = nothing, # No payload by default
url::Union{String, Nothing} = nothing, # No URL by default
metadata::Dict{String, Any} = Dict{String, Any}() # Empty metadata by default
)
MessageEnvelope(correlation_id, type, transport, payload, url, metadata)
end
""" Constructor for MessageEnvelope from JSON string
This constructor parses a JSON string and reconstructs a MessageEnvelope struct.
It handles the metadata field specially by converting the JSON object to a Julia Dict,
extracting values from the JSON structure for all other fields.
"""
function MessageEnvelope(json_str::String)
data = JSON.parse(json_str) # Parse JSON string into Julia data structure
metadata = Dict{String, Any}()
if haskey(data, :metadata) # Check if metadata exists in JSON
metadata = Dict(String(k) => v for (k, v) in data.metadata) # Convert JSON keys to strings and store in Dict
end
MessageEnvelope(
correlation_id = String(data.correlation_id), # Extract correlation_id from JSON data
type = String(data.type), # Extract type from JSON data
transport = String(data.transport), # Extract transport from JSON data
payload = haskey(data, :payload) ? String(data.payload) : nothing, # Extract payload if present
url = haskey(data, :url) ? String(data.url) : nothing, # Extract URL if present
metadata = metadata # Use the parsed metadata
)
end
""" Convert MessageEnvelope to JSON string
This function converts the MessageEnvelope struct to a JSON string representation.
It only includes fields in the JSON output if they have non-nothing values,
making the JSON output cleaner and more efficient.
"""
function envelope_to_json(env::MessageEnvelope)
obj = Dict{String, Any}( obj = Dict{String, Any}(
"correlation_id" => env.correlation_id, # Always include correlation_id "correlationId" => env.correlationId,
"type" => env.type, # Always include type "msgId" => env.msgId,
"transport" => env.transport # Always include transport "timestamp" => env.timestamp,
"sendTo" => env.sendTo,
"msgPurpose" => env.msgPurpose,
"senderName" => env.senderName,
"senderId" => env.senderId,
"receiverName" => env.receiverName,
"receiverId" => env.receiverId,
"replyTo" => env.replyTo,
"replyToMsgId" => env.replyToMsgId,
"brokerURL" => env.brokerURL
) )
if env.payload !== nothing # Only include payload if it exists
obj["payload"] = env.payload
end
if env.url !== nothing # Only include URL if it exists
obj["url"] = env.url
end
if !isempty(env.metadata) # Only include metadata if it exists and is not empty if !isempty(env.metadata) # Only include metadata if it exists and is not empty
obj["metadata"] = env.metadata obj["metadata"] = Dict(String(k) => v for (k, v) in env.metadata)
end end
JSON.json(obj) # Convert Dict to JSON string # Convert payloads to JSON array
if !isempty(env.payloads)
payloads_json = []
for payload in env.payloads
payload_obj = Dict{String, Any}(
"id" => payload.id,
"dataname" => payload.dataname,
"type" => payload.type,
"transport" => payload.transport,
"encoding" => payload.encoding,
"size" => payload.size
)
# Include data based on transport type
if payload.transport == "direct" && payload.data !== nothing
if payload.encoding == "base64" || payload.encoding == "json"
payload_obj["data"] = payload.data
else
# For other encodings, use base64
payload_bytes = _get_payload_bytes(payload.data)
payload_obj["data"] = Base64.base64encode(payload_bytes)
end
end
if !isempty(payload.metadata)
payload_obj["metadata"] = Dict(String(k) => v for (k, v) in payload.metadata)
end
push!(payloads_json, payload_obj)
end
obj["payloads"] = payloads_json
end end
JSON.json(obj)
end
""" Helper function to get payload bytes from data
"""
function _get_payload_bytes(data::Any)
# This is a placeholder - actual implementation depends on data type
if isa(data, Vector{UInt8})
return data
elseif isa(data, String)
return bytes(data)
else
return String(data)
end
end
""" Log a trace message with correlation ID and timestamp """ Log a trace message with correlation ID and timestamp
This function logs information messages with a correlation ID for tracing purposes, This function logs information messages with a correlation ID for tracing purposes,
@@ -215,8 +195,8 @@ Otherwise, it uploads the data to a fileserver (by default using `plik_oneshot_u
The function workflow: The function workflow:
1. Serializes the provided data according to the specified format (`type`) 1. Serializes the provided data according to the specified format (`type`)
2. Compares the serialized size against `size_threshold` 2. Compares the serialized size against `size_threshold`
3. For small payloads: encodes as Base64, constructs a "direct" MessageEnvelope, and publishes to NATS 3. For small payloads: encodes as Base64, constructs a "direct" msgEnvelope_v1, and publishes to NATS
4. For large payloads: uploads to the fileserver, constructs a "link" MessageEnvelope with the URL, and publishes to NATS 4. For large payloads: uploads to the fileserver, constructs a "link" msgEnvelope_v1 with the URL, and publishes to NATS
# Arguments: # Arguments:
- `subject::String` - NATS subject to publish the message to - `subject::String` - NATS subject to publish the message to
@@ -230,15 +210,15 @@ The function workflow:
- `fileServerUploadHandler::Function = plik_oneshot_upload` - Function to handle fileserver uploads (must match signature of `plik_oneshot_upload`) - `fileServerUploadHandler::Function = plik_oneshot_upload` - Function to handle fileserver uploads (must match signature of `plik_oneshot_upload`)
- `size_threshold::Int = DEFAULT_SIZE_THRESHOLD` - Threshold in bytes separating direct vs link transport - `size_threshold::Int = DEFAULT_SIZE_THRESHOLD` - Threshold in bytes separating direct vs link transport
- `correlation_id::Union{String, Nothing} = nothing` - Optional correlation ID for tracing; if `nothing`, a UUID is generated - `correlation_id::Union{String, Nothing} = nothing` - Optional correlation ID for tracing; if `nothing`, a UUID is generated
- `msg_purpose::String = "chat"` - Purpose of the message: "ACK", "NACK", "updateStatus", "shutdown", "chat", etc.
- `sender_name::String = "NATSBridge"` - Name of the sender
- `receiver_name::String = ""` - Name of the receiver (empty string means broadcast)
- `receiver_id::String = ""` - UUID of the receiver (empty string means broadcast)
- `reply_to::String = ""` - Topic to reply to (empty string if no reply expected)
- `reply_to_msg_id::String = ""` - Message ID this message is replying to
# Return: # Return:
- A `MessageEnvelope` object containing metadata and transport information: - A `msgEnvelope_v1` object containing metadata and transport information
- `correlation_id::String` - Unique identifier for this message exchange
- `type::String` - Serialization type used (`"json"` or `"arrow"`)
- `transport::String` - Either `"direct"` or `"link"`
- `payload::Union{String, Nothing}` - Base64-encoded data for direct transport, `nothing` for link transport
- `url::Union{String, Nothing}` - Download URL for link transport, `nothing` for direct transport
- `metadata::Dict` - Additional metadata (e.g., `"content_length"`, `"format"`)
# Example # Example
```julia ```julia
@@ -251,11 +231,6 @@ env = smartsend("my.subject", data, "json")
# Send a large array using fileserver upload # Send a large array using fileserver upload
data = rand(10_000_000) # ~80 MB data = rand(10_000_000) # ~80 MB
env = smartsend("large.data", data, "arrow") env = smartsend("large.data", data, "arrow")
# In another process, retrieve and deserialize:
# msg = subscribe(nats_url, "my.subject")
# env = json_to_envelope(msg.data)
# data = _deserialize_data(Base64.decode(env.payload), env.type)
``` ```
""" """
function smartsend( function smartsend(
@@ -267,7 +242,13 @@ function smartsend(
fileserver_url::String = DEFAULT_FILESERVER_URL, fileserver_url::String = DEFAULT_FILESERVER_URL,
fileServerUploadHandler::Function=plik_oneshot_upload, # a function to handle uploading data to specific HTTP fileserver fileServerUploadHandler::Function=plik_oneshot_upload, # a function to handle uploading data to specific HTTP fileserver
size_threshold::Int = DEFAULT_SIZE_THRESHOLD, size_threshold::Int = DEFAULT_SIZE_THRESHOLD,
correlation_id::Union{String, Nothing} = nothing 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 = ""
) )
# Generate correlation ID if not provided # Generate correlation ID if not provided
cid = correlation_id !== nothing ? correlation_id : string(uuid4()) # Create or use provided correlation ID cid = correlation_id !== nothing ? correlation_id : string(uuid4()) # Create or use provided correlation ID
@@ -280,20 +261,46 @@ function smartsend(
payload_size = length(payload_bytes) # Calculate payload size in bytes payload_size = length(payload_bytes) # Calculate payload size in bytes
log_trace(cid, "Serialized payload size: $payload_size bytes") # Log payload size log_trace(cid, "Serialized payload size: $payload_size bytes") # Log payload size
# Generate unique IDs
msg_id = string(uuid4())
timestamp = string(Dates.now())
# Decision: Direct vs Link # Decision: Direct vs Link
if payload_size < size_threshold # Check if payload is small enough for direct transport if payload_size < size_threshold # Check if payload is small enough for direct transport
# Direct path - Base64 encode and send via NATS # Direct path - Base64 encode and send via NATS
payload_b64 = Base64.base64encode(payload_bytes) # Encode bytes as base64 string payload_b64 = Base64.base64encode(payload_bytes) # Encode bytes as base64 string
log_trace(cid, "Using direct transport for $payload_size bytes") # Log transport choice log_trace(cid, "Using direct transport for $payload_size bytes") # Log transport choice
env = MessageEnvelope( # Create envelope for direct transport # Create msgPayload_v1 for direct transport
correlation_id = cid, payload = msgPayload_v1(
id = string(uuid4()),
dataname = dataname,
type = type, type = type,
transport = "direct", transport = "direct",
payload = payload_b64, encoding = "base64",
size = payload_size,
data = payload_b64,
metadata = Dict("dataname" => dataname, "content_length" => payload_size, "format" => "arrow_ipc_stream") metadata = Dict("dataname" => dataname, "content_length" => payload_size, "format" => "arrow_ipc_stream")
) )
# Create msgEnvelope_v1 with all fields populated
env = msgEnvelope_v1(
correlationId = cid,
msgId = msg_id,
timestamp = timestamp,
sendTo = subject,
msgPurpose = msg_purpose,
senderName = sender_name,
senderId = string(uuid4()),
receiverName = receiver_name,
receiverId = receiver_id,
replyTo = reply_to,
replyToMsgId = reply_to_msg_id,
brokerURL = nats_url,
metadata = Dict(),
payloads = [payload]
)
msg_json = envelope_to_json(env) # Convert envelope to JSON msg_json = envelope_to_json(env) # Convert envelope to JSON
publish_message(nats_url, subject, msg_json, cid) # Publish message to NATS publish_message(nats_url, subject, msg_json, cid) # Publish message to NATS
@@ -312,14 +319,36 @@ function smartsend(
url = response[:url] # URL for the uploaded data url = response[:url] # URL for the uploaded data
log_trace(cid, "Uploaded to URL: $url") # Log successful upload log_trace(cid, "Uploaded to URL: $url") # Log successful upload
env = MessageEnvelope( # Create envelope for link transport # Create msgPayload_v1 for link transport
correlation_id = cid, payload = msgPayload_v1(
id = string(uuid4()),
dataname = dataname,
type = type, type = type,
transport = "link", transport = "link",
url = url, encoding = "none",
size = payload_size,
data = url,
metadata = Dict("dataname" => dataname, "content_length" => payload_size, "format" => "arrow_ipc_stream") metadata = Dict("dataname" => dataname, "content_length" => payload_size, "format" => "arrow_ipc_stream")
) )
# Create msgEnvelope_v1 with all fields populated
env = msgEnvelope_v1(
correlationId = cid,
msgId = msg_id,
timestamp = timestamp,
sendTo = subject,
msgPurpose = msg_purpose,
senderName = sender_name,
senderId = string(uuid4()),
receiverName = receiver_name,
receiverId = receiver_id,
replyTo = reply_to,
replyToMsgId = reply_to_msg_id,
brokerURL = nats_url,
metadata = Dict(),
payloads = [payload]
)
msg_json = envelope_to_json(env) # Convert envelope to JSON msg_json = envelope_to_json(env) # Convert envelope to JSON
publish_message(nats_url, subject, msg_json, cid) # Publish message to NATS publish_message(nats_url, subject, msg_json, cid) # Publish message to NATS
@@ -436,7 +465,7 @@ Keyword Arguments:
- `max_delay::Int` - Maximum delay for exponential backoff in ms (default: 5000) - `max_delay::Int` - Maximum delay for exponential backoff in ms (default: 5000)
Return: Return:
- Tuple `(data = deserialized_data, envelope = MessageEnvelope)` - Data and envelope - Tuple `(data = deserialized_data, envelope = msgEnvelope_v1)` - Data and envelope
""" """
function smartreceive( function smartreceive(
msg::NATS.Msg; msg::NATS.Msg;
@@ -445,33 +474,79 @@ function smartreceive(
base_delay::Int = 100, base_delay::Int = 100,
max_delay::Int = 5000 max_delay::Int = 5000
) )
# Parse the envelope # Parse the JSON envelope
env = MessageEnvelope(String(msg.payload)) # Parse NATS message data as JSON envelope json_data = JSON.parse(String(msg.payload))
log_trace(env.correlation_id, "Processing received message") # Log message processing start
# Check transport type # Get transport from the first payload
if env.transport == "direct" # Direct transport - payload is in the message transport = String(json_data["payloads"][1]["transport"])
log_trace(env.correlation_id, "Direct transport - decoding payload") # Log direct transport handling log_trace(json_data["correlationId"], "Processing received message") # Log message processing start
if transport == "direct" # Direct transport - payload is in the message
log_trace(json_data["correlationId"], "Direct transport - decoding payload") # Log direct transport handling
# Extract base64 payload from the first payload
payload_b64 = String(json_data["payloads"][1]["data"])
# Decode Base64 payload # Decode Base64 payload
payload_bytes = Base64.base64decode(env.payload) # Decode base64 payload to bytes payload_bytes = Base64.base64decode(payload_b64) # Decode base64 payload to bytes
# Deserialize based on type # Deserialize based on type
data = _deserialize_data(payload_bytes, env.type, env.correlation_id, env.metadata) # Convert bytes to Julia data data_type = String(json_data["payloads"][1]["type"])
data = _deserialize_data(payload_bytes, data_type, json_data["correlationId"], Dict{String, Any}())
# Create msgEnvelope_v1 from parsed data
env = msgEnvelope_v1(
correlationId = json_data["correlationId"],
msgId = haskey(json_data, "msgId") ? String(json_data["msgId"]) : "",
timestamp = haskey(json_data, "timestamp") ? String(json_data["timestamp"]) : "",
sendTo = json_data["sendTo"],
msgPurpose = haskey(json_data, "msgPurpose") ? String(json_data["msgPurpose"]) : "",
senderName = haskey(json_data, "senderName") ? String(json_data["senderName"]) : "",
senderId = haskey(json_data, "senderId") ? String(json_data["senderId"]) : "",
receiverName = haskey(json_data, "receiverName") ? String(json_data["receiverName"]) : "",
receiverId = haskey(json_data, "receiverId") ? String(json_data["receiverId"]) : "",
replyTo = haskey(json_data, "replyTo") ? String(json_data["replyTo"]) : "",
replyToMsgId = haskey(json_data, "replyToMsgId") ? String(json_data["replyToMsgId"]) : "",
brokerURL = haskey(json_data, "brokerURL") ? String(json_data["brokerURL"]) : DEFAULT_NATS_URL,
metadata = Dict{String, Any}(),
payloads = msgPayload_v1[]
)
return (data = data, envelope = env) # Return data and envelope as tuple return (data = data, envelope = env) # Return data and envelope as tuple
elseif env.transport == "link" # Link transport - payload is at URL elseif transport == "link" # Link transport - payload is at URL
log_trace(env.correlation_id, "Link transport - fetching from URL") # Log link transport handling log_trace(json_data["correlationId"], "Link transport - fetching from URL") # Log link transport handling
# Extract URL from the first payload
url = String(json_data["payloads"][1]["data"])
# Fetch with exponential backoff # Fetch with exponential backoff
downloaded_data = _fetch_with_backoff(env.url, max_retries, base_delay, max_delay, env.correlation_id) # Fetch data from URL downloaded_data = _fetch_with_backoff(url, max_retries, base_delay, max_delay, json_data["correlationId"]) # Fetch data from URL
# Deserialize based on type # Deserialize based on type
data = _deserialize_data(downloaded_data, env.type, env.correlation_id, env.metadata) # Convert bytes to Julia data data_type = String(json_data["payloads"][1]["type"])
data = _deserialize_data(downloaded_data, data_type, json_data["correlationId"], Dict{String, Any}())
# Create msgEnvelope_v1 from parsed data
env = msgEnvelope_v1(
correlationId = json_data["correlationId"],
msgId = haskey(json_data, "msgId") ? String(json_data["msgId"]) : "",
timestamp = haskey(json_data, "timestamp") ? String(json_data["timestamp"]) : "",
sendTo = json_data["sendTo"],
msgPurpose = haskey(json_data, "msgPurpose") ? String(json_data["msgPurpose"]) : "",
senderName = haskey(json_data, "senderName") ? String(json_data["senderName"]) : "",
senderId = haskey(json_data, "senderId") ? String(json_data["senderId"]) : "",
receiverName = haskey(json_data, "receiverName") ? String(json_data["receiverName"]) : "",
receiverId = haskey(json_data, "receiverId") ? String(json_data["receiverId"]) : "",
replyTo = haskey(json_data, "replyTo") ? String(json_data["replyTo"]) : "",
replyToMsgId = haskey(json_data, "replyToMsgId") ? String(json_data["replyToMsgId"]) : "",
brokerURL = haskey(json_data, "brokerURL") ? String(json_data["brokerURL"]) : DEFAULT_NATS_URL,
metadata = Dict{String, Any}(),
payloads = msgPayload_v1[]
)
return (data = data, envelope = env) # Return data and envelope as tuple return (data = data, envelope = env) # Return data and envelope as tuple
else # Unknown transport type else # Unknown transport type
error("Unknown transport type: $(env.transport)") # Throw error for unknown transport error("Unknown transport type: $(transport)") # Throw error for unknown transport
end end
end end
@@ -556,21 +631,6 @@ function _deserialize_data(
end end
# """ Decode base64 string to bytes
# This internal function decodes a base64-encoded string back to binary data.
# It's a wrapper around Base64.decode for consistency in the module.
# Arguments:
# - `str::String` - Base64-encoded string to decode
# Return:
# - Vector{UInt8} - Decoded binary data
# """
# function base64decode(str::String)
# return Base64.decode(str) # Decode base64 string to bytes using Julia's Base64 module
# end
""" plik_oneshot_upload - Upload a single file to a plik server using one-shot mode """ plik_oneshot_upload - Upload a single file to a plik server using one-shot mode
This function uploads a raw byte array to a plik server in one-shot mode (no upload session). This function uploads a raw byte array to a plik server in one-shot mode (no upload session).
@@ -609,7 +669,7 @@ status, uploadid, fileid, url = plik_oneshot_upload(fileServerURL, filename, fil
# to download an uploaded file # to download an uploaded file
curl -L -O "url" curl -L -O "url"
``` ```
""" #[x] """
function plik_oneshot_upload(fileServerURL::String, filename::String, data::Vector{UInt8}) function plik_oneshot_upload(fileServerURL::String, filename::String, data::Vector{UInt8})
# ----------------------------------------- get upload id ---------------------------------------- # # ----------------------------------------- get upload id ---------------------------------------- #
@@ -652,10 +712,6 @@ function plik_oneshot_upload(fileServerURL::String, filename::String, data::Vect
end end
""" plik_oneshot_upload(fileServerURL::String, filepath::String) """ plik_oneshot_upload(fileServerURL::String, filepath::String)
Upload a single file to a plik server using one-shot mode. Upload a single file to a plik server using one-shot mode.
@@ -693,7 +749,7 @@ status, uploadid, fileid, url = plik_oneshot_upload(fileServerURL, filepath)
# To download the uploaded file later (via curl as example): # To download the uploaded file later (via curl as example):
curl -L -O "url" curl -L -O "url"
``` ```
""" #[x] """
function plik_oneshot_upload(fileServerURL::String, filepath::String) function plik_oneshot_upload(fileServerURL::String, filepath::String)
# ----------------------------------------- get upload id ---------------------------------------- # # ----------------------------------------- get upload id ---------------------------------------- #
@@ -739,30 +795,4 @@ function plik_oneshot_upload(fileServerURL::String, filepath::String)
end end
end # module end # module