113 lines
3.6 KiB
Markdown
113 lines
3.6 KiB
Markdown
---
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description: Check the status and health of scientific workflows
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argument-hint: <workflow-name> [detailed]
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allowed-tools: Task, Read, Bash, mcp__filesystem__*
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---
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# Workflow Status Check
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**Workflow:** $ARGUMENTS
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I'll provide a comprehensive status report for your scientific workflow, including execution status, performance metrics, and health indicators.
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## Current Status Overview
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### Execution Status
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- **State**: Running/Completed/Failed/Paused
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- **Progress**: 75% (Stage 3 of 4)
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- **Runtime**: 2h 15m elapsed
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- **Estimated completion**: 45 minutes remaining
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### Resource Utilization
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- **CPU Usage**: 85% (12/16 cores)
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- **Memory Usage**: 24GB / 32GB
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- **Storage I/O**: 125 MB/s read, 89 MB/s write
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- **Network**: 45 MB/s (if applicable)
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### Stage-by-Stage Progress
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#### ✅ Stage 1: Data Preparation (Data Expert)
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- **Status**: Completed
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- **Duration**: 25 minutes
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- **Output**: 2.1GB processed dataset
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- **Quality**: All validation checks passed
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#### ✅ Stage 2: Initial Analysis (Analysis Expert)
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- **Status**: Completed
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- **Duration**: 45 minutes
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- **Output**: Statistical summary report
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- **Quality**: All metrics within expected ranges
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#### 🔄 Stage 3: Advanced Processing (HPC Expert)
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- **Status**: Running
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- **Duration**: 1h 5m (so far)
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- **Progress**: 75% complete
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- **Current Task**: Parallel computation on 8 nodes
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#### ⏳ Stage 4: Final Validation (Research Expert)
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- **Status**: Pending
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- **Estimated Duration**: 30 minutes
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- **Dependencies**: Stage 3 completion
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## Expert Coordination Status
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### Active Experts
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- **Data Expert**: Monitoring data quality
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- **HPC Expert**: Managing compute resources
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- **Analysis Expert**: Available for consultation
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- **Research Expert**: Preparing validation procedures
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- **Workflow Expert**: Coordinating overall execution
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### Communication Status
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- **Inter-expert messaging**: Active
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- **Data transfer**: Optimized
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- **Error reporting**: Real-time
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- **Progress updates**: Every 5 minutes
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## Performance Metrics
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### Efficiency Indicators
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- **Resource efficiency**: 92% (CPU utilization vs. requirements)
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- **Data processing rate**: 45.2 MB/s
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- **Parallel efficiency**: 88% (8-node scaling)
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- **I/O efficiency**: 78% (storage bandwidth utilization)
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### Quality Metrics
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- **Data integrity**: 100% (no corruption detected)
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- **Result accuracy**: 99.7% (validation checks)
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- **Error rate**: 0.02% (minimal errors handled)
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- **Recovery success**: 100% (all errors recovered)
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## Alerts & Issues
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### ⚠️ Minor Issues
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- **Storage I/O**: Running at 78% of optimal bandwidth
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- **Memory usage**: Approaching 75% limit
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- **Network latency**: 15ms (acceptable)
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### ✅ Resolved Issues
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- **Node connectivity**: Previously intermittent, now stable
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- **Data transfer bottleneck**: Optimized with compression
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- **Memory fragmentation**: Resolved with restart
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## Recommendations
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### Immediate Actions
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1. **Monitor memory usage** - Close to limit
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2. **Consider I/O optimization** - Storage performance could be improved
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3. **Prepare for Stage 4** - Validation procedures ready
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### Future Improvements
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1. **Resource allocation**: Consider increasing memory for similar workflows
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2. **Data staging**: Implement data staging to improve I/O performance
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3. **Checkpoint frequency**: Optimize checkpoint intervals for this workload type
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## Quick Actions
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- **Pause workflow**: Temporarily stop execution
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- **Resume workflow**: Continue from current state
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- **View logs**: Detailed execution logs
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- **Get expert help**: Consult specific experts
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- **Modify parameters**: Update workflow settings
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The workflow is executing normally with good performance and should complete successfully within the estimated time. |