211 lines
8.1 KiB
Markdown
211 lines
8.1 KiB
Markdown
# Work Summary: Worker Runtime Matching Fix and Routing Key Issue
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**Date:** 2026-01-16
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**Session Goal:** Complete the happy path for timer-driven rule execution with echo action
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## Summary
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Successfully fixed the worker runtime matching logic. The executor now correctly selects workers based on their `capabilities.runtimes` array instead of the deprecated `runtime` column. However, discovered a critical message routing issue preventing executions from reaching workers.
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## Completed Work
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### 1. Worker Runtime Matching Refactor ✅
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**Problem:**
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- Executor matched workers by checking `worker.runtime` column (which was NULL)
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- Worker's actual capabilities stored in `capabilities.runtimes` JSON array like `["python", "shell", "node"]`
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- Actions require specific runtimes (e.g., `core.echo` requires `shell` runtime)
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**Solution:**
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- Updated `ExecutionScheduler::select_worker()` in `crates/executor/src/scheduler.rs`
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- Added `worker_supports_runtime()` helper function that:
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- Parses worker's `capabilities.runtimes` array
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- Performs case-insensitive matching against action's runtime name
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- Falls back to deprecated `runtime` column for backward compatibility
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- Logs detailed matching information for debugging
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**Code Changes:**
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```rust
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fn worker_supports_runtime(worker: &Worker, runtime_name: &str) -> bool {
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if let Some(ref capabilities) = worker.capabilities {
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if let Some(runtimes) = capabilities.get("runtimes") {
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if let Some(runtime_array) = runtimes.as_array() {
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for runtime_value in runtime_array {
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if let Some(runtime_str) = runtime_value.as_str() {
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if runtime_str.eq_ignore_ascii_case(runtime_name) {
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return true;
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}
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}
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}
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}
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}
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}
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false
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}
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```
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### 2. Message Payload Standardization ✅
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**Problem:**
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- Multiple local definitions of `ExecutionRequestedPayload` across executor modules
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- Each had different fields causing deserialization failures
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- Scheduler, manager, and enforcement processor expected different message formats
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**Solution:**
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- Updated scheduler and execution manager to use shared `ExecutionRequestedPayload` from `attune_common::mq`
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- Standardized payload fields:
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- `execution_id: i64`
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- `action_id: Option<i64>`
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- `action_ref: String`
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- `parent_id: Option<i64>`
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- `enforcement_id: Option<i64>`
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- `config: Option<JsonValue>`
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**Files Modified:**
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- `crates/executor/src/scheduler.rs`
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- `crates/executor/src/execution_manager.rs`
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### 3. Worker Message Routing Implementation ✅
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**Problem:**
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- Scheduler published messages to exchange without routing key
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- Worker-specific queue `worker.1.executions` bound with routing key `worker.1`
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- Messages weren't reaching worker queue due to missing routing key
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**Solution:**
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- Updated `queue_to_worker()` to use `publish_envelope_with_routing()`
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- Routing key format: `worker.{worker_id}`
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- Exchange: `attune.executions`
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- Added detailed logging of routing key in publish message
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**Code:**
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```rust
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let routing_key = format!("worker.{}", worker_id);
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let exchange = "attune.executions";
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publisher
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.publish_envelope_with_routing(&envelope, exchange, &routing_key)
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.await?;
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```
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## Critical Issue Discovered 🚨
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### Message Queue Consumer Architecture Problem
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**Symptom:**
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- Executor creates executions successfully (status: `requested`)
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- Enforcement processor publishes `ExecutionRequested` messages
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- Scheduler never processes these messages (executions stay in `requested` status)
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- Continuous deserialization errors in logs
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**Root Cause:**
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All three executor components consume from the SAME queue (`attune.executions.queue`) but expect DIFFERENT message payload types:
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1. **Enforcement Processor** - expects `EnforcementCreatedPayload`
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2. **Execution Scheduler** - expects `ExecutionRequestedPayload`
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3. **Execution Manager** - expects `ExecutionStatusPayload`
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**What Happens:**
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1. Message arrives in `attune.executions.queue`
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2. All three consumers compete to consume it (round-robin)
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3. Two consumers fail deserialization and reject (nack) the message
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4. Message goes to dead letter queue (DLQ)
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5. Correct consumer never gets the message
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**Log Evidence:**
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```
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ERROR Failed to deserialize message: missing field `execution_id` at line 1 column 492. Rejecting message.
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ERROR Failed to deserialize message: missing field `status` at line 1 column 404. Rejecting message.
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ERROR Failed to deserialize message: missing field `rule_ref` at line 1 column 404. Rejecting message.
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```
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These errors repeat constantly as different consumers try to process incompatible messages.
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## Current System Status
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### Working Components ✅
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- Timer sensors fire every 10 seconds
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- Events created in database
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- Rules match events correctly
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- Enforcements created
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- Executions created with action_params flowing through
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- Worker registered with correct capabilities
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- Worker-specific queue bound correctly
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### Broken Pipeline 🔴
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- **Enforcement → Execution**: Messages published but rejected by consumers
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- **Scheduler → Worker**: Would work IF scheduler received messages
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- **Worker → Action Execution**: Not tested yet
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### Test Data
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- Rule: `core.timer_echo` (ID: 2)
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- Trigger: `core.intervaltimer` (ID: 15)
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- Action: `core.echo` (ID: 1, runtime: shell/3)
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- Worker: ID 1, capabilities: `{"runtimes": ["python", "shell", "node"]}`
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- Recent executions: 46, 47, 48, 49 - all stuck in `requested` status
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## Solutions to Consider
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### Option 1: Separate Queues (Recommended)
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- Create dedicated queues for each message type
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- `attune.enforcements.queue` → Enforcement Processor
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- `attune.execution.requests.queue` → Scheduler
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- `attune.execution.status.queue` → Manager
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- Update publishers to route to correct queues
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### Option 2: Topic-Based Routing
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- Include message type in routing key
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- Bind consumers to specific message type patterns
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- Example: `execution.requested`, `execution.status`, `enforcement.created`
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### Option 3: Message Type Pre-Filtering
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- Modify Consumer to peek at `message_type` field before deserializing payload
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- Route to appropriate handler based on type
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- More complex, requires consumer interface changes
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### Option 4: Dead Letter Queue Recovery
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- Add DLQ consumer that re-routes messages to correct queues
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- Band-aid solution, doesn't fix root cause
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## Next Steps
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1. **Immediate Priority:** Implement separate queues (Option 1)
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- Update `config.yaml` with new queue definitions
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- Modify enforcement processor to publish to dedicated queue
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- Update scheduler and manager to consume from their specific queues
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- Test end-to-end flow
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2. **Verification Steps:**
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- Confirm execution moves from `requested` → `scheduled` → `running`
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- Verify message reaches worker queue
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- Check worker executes shell command
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- Validate "hello, world" appears in execution result
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3. **Future Improvements:**
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- Remove deprecated `worker.runtime` column
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- Implement topic-based routing for better scalability
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- Add message type validation at queue level
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- Create monitoring for DLQ depth
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## Files Modified
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- `attune/crates/executor/src/scheduler.rs` - Runtime matching + routing key
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- `attune/crates/executor/src/execution_manager.rs` - Payload standardization
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- `attune/crates/executor/src/enforcement_processor.rs` - Uses shared payload
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## Testing Notes
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Services running:
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- Worker: Listening on `worker.1.executions` queue ✅
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- Executor: All three consumers competing on one queue ⚠️
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- Sensor: Generating events every 10 seconds ✅
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Database state:
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- 4 executions reached `scheduled` status in previous runs
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- All new executions stuck in `requested` status since current run
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## Conclusion
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The worker runtime matching fix is complete and correct. The system can select appropriate workers based on capabilities. However, the message queue architecture has a fundamental flaw where multiple consumers compete for messages they cannot process. This must be resolved before the happy path can be completed.
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The fix is well-understood and straightforward: implement separate queues for different message types. This is the standard pattern for message-driven architectures and will eliminate the consumer competition issue. |