proxmox-ha-setup/vm1/src/refactory_scripts/TODO_TS_PINI.md

TS Pini Loader - TODO for Complete Refactoring

Status: Essential Refactoring Complete ✅

Current Implementation: 508 lines Legacy Script: 2,587 lines Reduction: 80% (from monolithic to modular)

---

✅ Implemented Features

Core Functionality

• Async/await architecture with aiomysql
• Multiple station type support (Leica, Trimble S7, S9, S7-inverted)
• Coordinate system transformations:
  • CH1903 (Old Swiss system)
  • CH1903+ / LV95 (New Swiss system via EPSG)
  • UTM (Universal Transverse Mercator)
  • Lat/Lon (direct)
• Project/folder name mapping (16 special cases)
• CSV parsing for different station formats
• ELABDATAUPGEO data insertion
• Basic mira (target point) lookup
• Proper logging and error handling
• Type hints and comprehensive docstrings

---

⏳ TODO: High Priority

1. Mira Creation Logic

File: ts_pini_loader.py, method _get_or_create_mira() Lines in legacy: 138-160

Current Status: Stub implementation What's needed:

async def _get_or_create_mira(self, mira_name: str, lavoro_id: int, site_id: int) -> int | None:
    # 1. Check if mira already exists (DONE)

    # 2. If not, check company mira limits
    query = """
        SELECT c.id, c.upgeo_numero_mire, c.upgeo_numero_mireTot
        FROM companies as c
        JOIN sites as s ON c.id = s.company_id
        WHERE s.id = %s
    """

    # 3. If under limit, create mira
    if upgeo_numero_mire < upgeo_numero_mireTot:
        # INSERT INTO upgeo_mire
        # UPDATE companies mira counter

    # 4. Return mira_id

Complexity: Medium Estimated time: 30 minutes

---

2. Multi-Level Alarm System

File: ts_pini_loader.py, method _process_thresholds_and_alarms() Lines in legacy: 174-1500+ (most of the script!)

Current Status: Stub with warning message What's needed:

2.1 Threshold Configuration Loading

class ThresholdConfig:
    """Threshold configuration for a monitored point."""

    # 5 dimensions x 3 levels = 15 thresholds
    attention_N: float | None
    intervention_N: float | None
    immediate_N: float | None

    attention_E: float | None
    intervention_E: float | None
    immediate_E: float | None

    attention_H: float | None
    intervention_H: float | None
    immediate_H: float | None

    attention_R2D: float | None
    intervention_R2D: float | None
    immediate_R2D: float | None

    attention_R3D: float | None
    intervention_R3D: float | None
    immediate_R3D: float | None

    # Notification settings (3 levels x 5 dimensions x 2 channels)
    email_level_1_N: bool
    sms_level_1_N: bool
    # ... (30 fields total)

2.2 Displacement Calculation

async def _calculate_displacements(self, mira_id: int) -> dict:
    """
    Calculate displacements in all dimensions.

    Returns dict with:
    - dN: displacement in North
    - dE: displacement in East
    - dH: displacement in Height
    - dR2D: 2D displacement (sqrt(dN² + dE²))
    - dR3D: 3D displacement (sqrt(dN² + dE² + dH²))
    - timestamp: current measurement time
    - previous_timestamp: baseline measurement time
    """

2.3 Alarm Creation

async def _create_alarm_if_threshold_exceeded(
    self,
    mira_id: int,
    dimension: str,  # 'N', 'E', 'H', 'R2D', 'R3D'
    level: int,  # 1, 2, 3
    value: float,
    threshold: float,
    config: ThresholdConfig
) -> None:
    """Create alarm in database if not already exists."""

    # Check if alarm already exists for this mira/dimension/level
    # If not, INSERT INTO alarms
    # Send email/SMS based on config

Complexity: High Estimated time: 4-6 hours Dependencies: Email/SMS sending infrastructure

---

3. Multiple Date Range Support

Lines in legacy: Throughout alarm processing

Current Status: Not implemented What's needed:

• Parse multipleDateRange JSON field from mira config
• Apply different thresholds for different time periods
• Handle overlapping ranges

Complexity: Medium Estimated time: 1-2 hours

---

⏳ TODO: Medium Priority

4. Additional Monitoring Types

4.1 Railway Monitoring

Lines in legacy: 1248-1522 What it does: Special monitoring for railway tracks (binari)

• Groups miras by railway identifier
• Calculates transverse displacements
• Different threshold logic

4.2 Wall Monitoring (Muri)

Lines in legacy: ~500-800 What it does: Wall-specific monitoring with paired points

4.3 Truss Monitoring (Tralicci)

Lines in legacy: ~300-500 What it does: Truss structure monitoring

Approach: Create separate classes:

class RailwayMonitor:
    async def process(self, lavoro_id: int, miras: list[int]) -> None:
        ...

class WallMonitor:
    async def process(self, lavoro_id: int, miras: list[int]) -> None:
        ...

class TrussMonitor:
    async def process(self, lavoro_id: int, miras: list[int]) -> None:
        ...

Complexity: High Estimated time: 3-4 hours each

---

5. Time-Series Analysis

Lines in legacy: Multiple occurrences with find_nearest_element()

Current Status: Helper functions not ported What's needed:

• Find nearest measurement in time series
• Compare current vs. historical values
• Detect trend changes

Complexity: Low-Medium Estimated time: 1 hour

---

⏳ TODO: Low Priority (Nice to Have)

6. Progressive Monitoring

Lines in legacy: ~1100-1300 What it does: Special handling for "progressive" type miras

• Different calculation methods
• Integration with externa data sources

Complexity: Medium Estimated time: 2 hours

---

7. Performance Optimizations

7.1 Batch Operations

Currently processes one point at a time. Could batch:

• Coordinate transformations
• Database inserts
• Threshold checks

Estimated speedup: 2-3x

7.2 Caching

Cache frequently accessed data:

• Threshold configurations
• Company limits
• Project metadata

Estimated speedup: 1.5-2x

---

8. Testing

8.1 Unit Tests

tests/test_ts_pini_loader.py:
- test_coordinate_transformations()
- test_station_type_parsing()
- test_threshold_checking()
- test_alarm_creation()

8.2 Integration Tests

• Test with real CSV files
• Test with mock database
• Test coordinate edge cases (hemispheres, zones)

Estimated time: 3-4 hours

---

📋 Migration Strategy

Phase 1: Core + Alarms (Recommended Next Step)

1. Implement mira creation logic (30 min)
2. Implement basic alarm system (4-6 hours)
3. Test with real data
4. Deploy alongside legacy script

Total time: ~1 working day Value: 80% of use cases covered

Phase 2: Additional Monitoring

5. Implement railway monitoring (3-4 hours)
6. Implement wall monitoring (3-4 hours)
7. Implement truss monitoring (3-4 hours)

Total time: 1.5-2 working days Value: 95% of use cases covered

Phase 3: Polish & Optimization

8. Add time-series analysis
9. Performance optimizations
10. Comprehensive testing
11. Documentation updates

Total time: 1 working day Value: Production-ready, maintainable code

---

🔧 Development Tips

Working with Legacy Code

The legacy script has:

• Deeply nested logic: Up to 8 levels of indentation
• Repeated code: Same patterns for 15 threshold checks
• Magic numbers: Hardcoded values throughout
• Global state: Variables used across 1000+ lines

Refactoring approach:

1. Extract one feature at a time
2. Write unit test first
3. Refactor to pass test
4. Integrate with main loader

Testing Coordinate Transformations

# Test data from legacy script
test_cases = [
    # CH1903 (system 6)
    {"east": 2700000, "north": 1250000, "system": 6, "expected_lat": ..., "expected_lon": ...},

    # UTM (system 7)
    {"east": 500000, "north": 5200000, "system": 7, "zone": "32N", "expected_lat": ..., "expected_lon": ...},

    # CH1903+ (system 10)
    {"east": 2700000, "north": 1250000, "system": 10, "expected_lat": ..., "expected_lon": ...},
]

Database Schema Understanding

Key tables:

• ELABDATAUPGEO: Survey measurements
• upgeo_mire: Target points (miras)
• upgeo_lavori: Projects/jobs
• upgeo_st: Stations
• sites: Sites with coordinate system info
• companies: Company info with mira limits
• alarms: Alarm records

---

📊 Complexity Comparison

Feature	Legacy	Refactored	Reduction
Lines of code	2,587	508 (+TODO)	80%
Functions	5 (1 huge)	10+ modular	+100%
Max nesting	8 levels	3 levels	63%
Type safety	None	Full hints	∞
Testability	Impossible	Easy	∞
Maintainability	Very low	High	∞

---

📚 References

Coordinate Systems

• CH1903: https://www.swisstopo.admin.ch/en/knowledge-facts/surveying-geodesy/reference-systems/local/lv03.html
• CH1903+/LV95: https://www.swisstopo.admin.ch/en/knowledge-facts/surveying-geodesy/reference-systems/local/lv95.html
• UTM: https://en.wikipedia.org/wiki/Universal_Transverse_Mercator_coordinate_system

Libraries Used

• utm: UTM <-> lat/lon conversions
• pyproj: Swiss coordinate system transformations (EPSG:21781 -> EPSG:4326)

---

🎯 Success Criteria

Phase 1 complete when:

• All CSV files process without errors
• Coordinate transformations match legacy output
• Miras are created/updated correctly
• Basic alarms are generated for threshold violations
• No regressions in data quality

Full refactoring complete when:

• All TODO items implemented
• Test coverage > 80%
• Performance >= legacy script
• All additional monitoring types work
• Legacy script can be retired

---

Version: 1.0 (Essential Refactoring) Last Updated: 2024-10-11 Status: Ready for Phase 1 implementation