Files
Bose-SoundTouch/docs/REQUEST_RECORDING_CONCEPT.md
T
Tobias Gesellchen d15cebdc95 Work around Jekyll/Liquid template engine issues
Fix for:

```
  Liquid Exception: Liquid syntax error (line 27): Tag '{% // Response: 200 OK %}' was not properly terminated with regexp: /\%\}/ in REQUEST_RECORDING_CONCEPT.md
/usr/local/bundle/gems/liquid-4.0.4/lib/liquid/block_body.rb:132:in `raise_missing_tag_terminator': Liquid syntax error (line 27): Tag '{%  (Liquid::SyntaxError)
    // Response: 200 OK
%}' was not properly terminated with regexp: /\%\}/
```
2026-03-06 21:57:38 +01:00

346 lines
11 KiB
Markdown

# Request Recording Concept
## Problem Statement
The current request recording system has fundamental issues when dealing with request cloning, body consumption, and multiple response scenarios. Specifically:
1. **Body Consumption**: HTTP request bodies can only be read once, leading to missing bodies in recordings
2. **Request Cloning**: A single original request may be cloned multiple times for different purposes (local handling, mirroring, recording)
3. **Multiple Responses**: The same logical request may generate different responses (local vs upstream mirror)
4. **Data Integrity**: No guarantee that recorded requests are identical across different execution paths
## Current Issues (Examples)
### Issue 1: Missing Request Bodies in Mirror Recordings
**Local Recording** (complete):
```http
### POST /v1/scmudc/A81B6A536A98
POST /v1/scmudc/A81B6A536A98
Host: events.api.bosecm.com
Content-Type: text/json; charset=utf-8
Content-Length: 587
Authorization: Bearer jGwEmFWr...
{"envelope":{"monoTime":234906,"payloadProtocolVersion":"3.1","payloadType":"scmudc","protocolVersion":"1.0","time":"2026-02-25T23:03:14.976349+00:00","uniqueId":"A81B6A536A98"},"payload":{"deviceInfo":{"boseID":"3230304","deviceID":"A81B6A536A98","deviceType":"SoundTouch 10","serialNumber":"I6332527703739342000020","softwareVersion":"27.0.6.46330.5043500 epdbuild.trunk.hepdswbld04.2022-08-04T11:20:29","systemSerialNumber":"069231P63364828AE"},"events":[{"data":{"play-state":"PAUSE_STATE"},"monoTime":234904,"time":"2026-02-25T23:03:14.973466+00:00","type":"play-state-changed"}]}}
{% raw %}
> {%
// Response: 200 OK
%}
{% endraw %}
```
**Mirror Recording** (missing body):
```http
### POST /v1/scmudc/A81B6A536A98
POST /v1/scmudc/A81B6A536A98
Host: events.api.bosecm.com
Content-Type: text/json; charset=utf-8
Content-Length: 587
Authorization: Bearer jGwEmFWr...
{% raw %}
> {%
// Response: 200 OK
// Headers:
// X-Proxy-Origin: upstream-mirror
%}
{% endraw %}
```
### Issue 2: Request Flow Complexity
Current middleware execution order:
```
1. MirrorMiddleware - Buffers body, creates clones
2. RecordMiddleware - Also buffers body
3. Application Handler - Processes request
4. Mirror Execution - Async/sync mirror to upstream
5. Recording - Multiple recording points
```
Problems:
- Multiple body reads across middleware chain
- Inconsistent request state between clones
- Race conditions in async scenarios
- No guarantee of request equivalence
## Proposed Solution: Context-Bound Request Snapshots
### Core Concept
Create **immutable request snapshots** early in the request lifecycle and propagate them through the **Request Context**. This ensures all downstream consumers (Mirroring, Recording, Parity Check) use identical data without re-reading the request body.
### Architecture (Context-Only)
```
┌─────────────────┐
│ Original Request│
└─────────┬───────┘
┌─────────────────┐ ┌──────────────────┐
│ Snapshot Creator│───▶│ Request Context │
│ (Middleware) │ │ (Pointer-based) │
└─────────┬───────┘ └──────────────────┘
│ │
▼ │ (Safe for async)
┌─────────────────┐ │
│ Middleware │◀─────────────┘
│ Chain │
└─────────┬───────┘
┌───▼────┐ ┌─────────┐ ┌──────────────┐
│ Local │ │ Mirror │ │ Recording │
│Handler │ │Execution│ │ System │
└────────┘ └─────────┘ └──────────────┘
```
### Request Snapshot Structure
```go
type RequestSnapshot struct {
Method string
URL *url.URL
Headers http.Header
Body []byte
Host string
Timestamp time.Time
}
// Typed key for context safety
type contextKey struct{ name string }
var SnapshotKey = &contextKey{"request_snapshot"}
```
### Implementation Strategy
#### Phase 1: Snapshot Middleware
```go
func (s *Server) SnapshotMiddleware(next http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// 1. Capture body once with size limit (e.g. 2MB)
body, _ := io.ReadAll(io.LimitReader(r.Body, 2*1024*1024))
r.Body.Close()
// 2. Create snapshot
snapshot := &RequestSnapshot{
Method: r.Method,
URL: cloneURL(r.URL),
Headers: r.Header.Clone(),
Body: body,
Host: r.Host,
Timestamp: time.Now(),
}
// 3. Inject pointer into context
ctx := context.WithValue(r.Context(), SnapshotKey, snapshot)
// 4. Restore r.Body for downstream compatibility
r = r.WithContext(ctx)
r.Body = io.NopCloser(bytes.NewReader(snapshot.Body))
next.ServeHTTP(w, r)
})
}
```
#### Phase 2: Downstream Consumption
Consumers (Mirror/Record) retrieve the snapshot directly from context:
```go
snapshot, ok := r.Context().Value(SnapshotKey).(*RequestSnapshot)
if ok {
// Use snapshot.Body directly instead of io.ReadAll(r.Body)
}
```
## Hardware Considerations (Raspberry Pi Zero 2W)
To protect MicroSD health and optimize for limited memory:
1. **No Intermediate Disk Storage**: Snapshots exist only in memory; they are never written to disk until the final `.http` recording is generated.
2. **Memory Management**: Use `sync.Pool` for temporary buffers to reduce GC churn on the single-core/low-memory SoC.
3. **Automatic Cleanup**: Snapshots are naturally garbage collected once the Request Context and all child goroutines (detached mirrors/recordings) finish.
4. **Body Capping**: Strict limits on snapshot size prevent OOM (Out-of-Memory) conditions.
#### Phase 2: Response Capture System
```go
type ResponseRecorder struct {
http.ResponseWriter
snapshot *ResponseSnapshot
snapshotID string
source string
startTime time.Time
}
func (r *ResponseRecorder) WriteHeader(statusCode int) {
r.snapshot.StatusCode = statusCode
r.snapshot.Headers = r.Header().Clone()
r.ResponseWriter.WriteHeader(statusCode)
}
func (r *ResponseRecorder) Write(data []byte) (int, error) {
r.snapshot.Body = append(r.snapshot.Body, data...)
return r.ResponseWriter.Write(data)
}
func (r *ResponseRecorder) finalize() {
r.snapshot.Duration = time.Since(r.startTime)
r.snapshot.Timestamp = time.Now()
}
```
#### Phase 3: Recording System Integration
```go
type RecordingManager struct {
storage SnapshotStorage
recorder *Recorder
patterns []string
}
func (rm *RecordingManager) RecordInteraction(snapshotID string, response *ResponseSnapshot) {
// Retrieve immutable request snapshot
request, exists := rm.storage.Get(snapshotID)
if !exists {
log.Printf("Request snapshot not found: %s", snapshotID)
return
}
// Record with guaranteed data integrity
rm.recorder.RecordInteraction(request, response)
}
func (r *Recorder) RecordInteraction(req *RequestSnapshot, res *ResponseSnapshot) error {
// Generate .http file with complete data
var buf bytes.Buffer
// Write request
fmt.Fprintf(&buf, "### %s %s\n", req.Method, req.URL.String())
fmt.Fprintf(&buf, "%s %s\n", req.Method, req.URL.String())
fmt.Fprintf(&buf, "Host: %s\n", req.Host)
for k, vv := range req.Headers {
for _, v := range vv {
fmt.Fprintf(&buf, "%s: %s\n", k, v)
}
}
buf.WriteString("\n")
buf.Write(req.Body)
buf.WriteString("\n\n")
// Write response
{% raw %}
buf.WriteString("> {% \n")
{% endraw %}
fmt.Fprintf(&buf, " // Response: %d %s\n", res.StatusCode, http.StatusText(res.StatusCode))
buf.WriteString(" // Headers:\n")
for k, vv := range res.Headers {
for _, v := range vv {
fmt.Fprintf(&buf, " // %s: %s\n", k, v)
}
}
{% raw %}
buf.WriteString("%}\n\n")
{% endraw %}
if len(res.Body) > 0 {
buf.WriteString("/*\n")
buf.Write(res.Body)
buf.WriteString("\n*/\n")
} else {
buf.WriteString("// [Binary response body: 0 bytes]\n")
}
// Write to file
return r.writeToFile(buf.Bytes(), req, res)
}
```
## Migration Strategy
### Phase 1: Introduce Snapshot System
- Add SnapshotMiddleware as first middleware
- Maintain existing recording system for compatibility
- Gradual migration of recording points
### Phase 2: Update Mirror System
- Modify MirrorMiddleware to use snapshots
- Ensure mirror requests use snapshot data
- Test parity between old and new systems
### Phase 3: Consolidate Recording
- Replace existing recording middleware
- Unified recording system using context-bound snapshots
- Remove duplicate body reading code
### Phase 4: Cleanup
- Remove legacy recording code
- Optimize memory usage with sync.Pool
- Performance validation on target hardware (Pi Zero)
## Benefits
1. **Zero Extra Disk IO**: Protecs MicroSD by avoiding snapshot disk persistence
2. **Memory Efficiency**: Natural lifecycle tied to Request Context
3. **Data Integrity**: Request data is captured once and remains immutable
4. **Consistency**: All consumers use identical request data
5. **Traceability**: Clear lineage from original request to all recordings
6. **Performance**: Reduces duplicate body reads and re-cloning
## Implementation Considerations
### Memory Management
- Use `sync.Pool` for byte buffers
- Strict size limits on captured bodies
- Rely on GC for snapshot cleanup
### Performance Impact
- Single body read vs multiple reads (net positive)
- Memory overhead for snapshot storage (manageable)
- Context propagation overhead (minimal)
### Backward Compatibility
- Maintain existing .http file format
- Preserve existing API contracts
- Gradual migration path
## Testing Strategy
### Unit Tests
- Snapshot creation and immutability
- Response recording accuracy
- Memory cleanup verification
### Integration Tests
- End-to-end request/response recording
- Mirror functionality with snapshots
- Parity validation between old/new systems
### Performance Tests
- Memory usage comparison
- Throughput impact analysis
- Large request body handling
## Future Enhancements
1. **Compression**: Compress stored snapshots for memory efficiency
2. **Streaming**: Support for streaming request/response bodies
3. **Filtering**: Selective snapshot creation based on patterns
4. **Analytics**: Request/response analysis and metrics
5. **Export**: Snapshot export for debugging and analysis
## Conclusion
This snapshot-based approach provides a robust foundation for reliable request recording while solving the current issues with body consumption and data inconsistency. The phased implementation ensures minimal disruption while delivering immediate benefits.