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docs/requirements.md
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## Executive Summary
NATSBridge is a cross-platform, bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus. The system implements the **Claim-Check pattern** for efficient handling of large payloads (>1MB) by uploading them to an HTTP file server instead of sending raw binary data over NATS.
NATSBridge is a cross-platform, bi-directional data bridge that enables seamless communication between **Julia**, **JavaScript**, **Python**, and **MicroPython** applications using NATS as the message bus. The system implements the **Claim-Check pattern** for efficient handling of large payloads (>0.5MB) by uploading them to an HTTP file server instead of sending raw binary data over NATS.
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1. **Cross-Platform Interoperability**: Enable seamless data exchange between Julia, JavaScript, Python, and MicroPython applications without platform-specific barriers.
2. **Efficient Large Payload Handling**: Implement intelligent transport selection based on payload size:
- **Direct Transport**: Small payloads (<1MB) sent directly via NATS
- **Link Transport**: Large payloads (≥1MB) uploaded to HTTP file server, URL sent via NATS
- **Direct Transport**: Small payloads (<0.5MB) sent directly via NATS
- **Link Transport**: Large payloads (≥0.5MB) uploaded to HTTP file server, URL sent via NATS
3. **Unified API Across Platforms**: Provide consistent `smartsend()` and `smartreceive()` functions across all supported platforms while maintaining idiomatic implementations.
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|-------|----------|---------------------|
| **As a Julia developer**, I want to send text messages to JavaScript applications | P1 | Text messages are serialized, encoded, and received correctly across platforms |
| **As a Python developer**, I want to send tabular data to Julia applications | P1 | DataFrame exchange works with both Arrow IPC and JSON formats |
| **As a JavaScript developer**, I want to send large files (>1MB) to other applications | P1 | Large files are automatically uploaded to file server and URLs are sent via NATS |
| **As a JavaScript developer**, I want to send large files (>0.5MB) to other applications | P1 | Large files are automatically uploaded to file server and URLs are sent via NATS |
| **As a MicroPython developer**, I want to send sensor data with minimal memory usage | P1 | Direct transport works for payloads <100KB on memory-constrained devices |
### Multi-Payload Support
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| Message serialization overhead | <50ms for 10KB payload | Benchmark tests |
| Message deserialization overhead | <50ms for 10KB payload | Benchmark tests |
| NATS connection establishment | <100ms | Connection pool benchmarks |
| File upload latency | <1s for 1MB file | Integration tests |
| File download latency | <1s for 1MB file | Integration tests |
| File upload latency | <1s for 0.5MB file | Integration tests |
| File download latency | <1s for 0.5MB file | Integration tests |
### Scalability Requirements
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| Platform | Threshold | Notes |
|----------|-----------|-------|
| Desktop (Julia/JS/Python) | 1MB (1,048,576 bytes) | Default size threshold |
| Desktop (Julia/JS/Python) | 0.5MB (1,048,576 bytes) | Default size threshold |
| MicroPython | 100KB (102,400 bytes) | Lower threshold for memory constraints |
### Maximum Payload Size