# vPIC ETL Implementation Plan v2

## Overview

Extract vehicle dropdown data from NHTSA vPIC database for MY2022+ to supplement existing VehAPI data. This revised plan uses a make-specific extraction approach with proper VIN schema parsing.

## Key Changes from v1

1. **Limit to VehAPI makes only** - Only extract the 48 makes that exist in VehAPI data
2. **VIN schema-based extraction** - Extract directly from VIN patterns, not defs_model
3. **Proper field formatting** - Match VehAPI display string formats
4. **Make-specific logic** - Handle different manufacturers' data patterns

## Critical Discovery: WMI Linkage

**Must use `wmi_make` junction table (many-to-many), NOT `wmi.makeid` (one-to-many):**
```sql
-- CORRECT: via wmi_make (finds all makes including Toyota, Hyundai, etc.)
FROM vpic.make m
JOIN vpic.wmi_make wm ON wm.makeid = m.id
JOIN vpic.wmi w ON w.id = wm.wmiid

-- WRONG: via wmi.makeid (misses many major brands)
FROM vpic.make m
JOIN vpic.wmi w ON w.makeid = m.id
```

---

## Make Availability Summary

| Status | Count | Makes |
|--------|-------|-------|
| **Available (2022+ schemas)** | 46 | See table below |
| **No 2022+ data** | 2 | Hummer (discontinued 2010), Scion (discontinued 2016) |

---

## Per-Make Analysis

### Group 1: Japanese Manufacturers (Honda/Acura, Toyota/Lexus, Nissan/Infiniti)

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Acura | Acura | Acura | 48 | Ready |
| Honda | Honda | Honda | 238 | Ready |
| Lexus | Lexus | Lexus | 90 | Ready |
| Toyota | Toyota | Toyota | 152 | Ready |
| Infiniti | INFINITI | Infiniti | 76 | Ready |
| Nissan | Nissan | Nissan | 85 | Ready |
| Mazda | Mazda | Mazda | 37 | Ready |
| Mitsubishi | Mitsubishi | Mitsubishi | 11 | Ready |
| Subaru | Subaru | Subaru | 75 | Ready |
| Isuzu | Isuzu | Isuzu | 11 | Ready |

### Group 2: Korean Manufacturers (Hyundai/Kia/Genesis)

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Genesis | Genesis | Genesis | 74 | Ready |
| Hyundai | Hyundai | Hyundai | 177 | Ready |
| Kia | Kia | Kia | 72 | Ready |

### Group 3: American - GM (Chevrolet, GMC, Buick, Cadillac)

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Buick | Buick | Buick | 20 | Ready |
| Cadillac | Cadillac | Cadillac | 50 | Ready |
| Chevrolet | Chevrolet | Chevrolet | 185 | Ready |
| GMC | GMC | GMC | 107 | Ready |
| Oldsmobile | Oldsmobile | Oldsmobile | 1 | Limited |
| Pontiac | Pontiac | Pontiac | 5 | Limited (2022-2024) |

### Group 4: American - Stellantis (Chrysler, Dodge, Jeep, Ram, Fiat)

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Chrysler | Chrysler | Chrysler | 81 | Ready |
| Dodge | Dodge | Dodge | 86 | Ready |
| FIAT | FIAT | Fiat | 91 | Ready (case diff) |
| Jeep | Jeep | Jeep | 81 | Ready |
| RAM | RAM | Ram | 81 | Ready (case diff) |
| Plymouth | Plymouth | Plymouth | 4 | Limited |

### Group 5: American - Ford

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Ford | Ford | Ford | 108 | Ready |
| Lincoln | Lincoln | Lincoln | 21 | Ready |
| Mercury | Mercury | Mercury | 0 | No data (discontinued 2011) |

### Group 6: American - EV Startups

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Polestar | Polestar | Polestar | 12 | Ready |
| Rivian | Rivian | RIVIAN | 10 | Ready (case diff) |
| Tesla | Tesla | Tesla | 14 | Ready |

### Group 7: German Manufacturers

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Audi | Audi | Audi | 55 | Ready |
| BMW | BMW | BMW | 61 | Ready |
| Mercedes-Benz | Mercedes-Benz | Mercedes-Benz | 39 | Ready |
| MINI | MINI | MINI | 10 | Ready |
| Porsche | Porsche | Porsche | 23 | Ready |
| smart | smart | smart | 5 | Ready |
| Volkswagen | Volkswagen | Volkswagen | 134 | Ready |

### Group 8: European Luxury

| Make | VehAPI Name | vPIC Name | Schemas (2022+) | Status |
|------|-------------|-----------|-----------------|--------|
| Bentley | Bentley | Bentley | 48 | Ready |
| Ferrari | Ferrari | Ferrari | 9 | Ready |
| Jaguar | Jaguar | Jaguar | 17 | Ready |
| Lamborghini | Lamborghini | Lamborghini | 10 | Ready |
| Lotus | Lotus | Lotus | 5 | Ready |
| Maserati | Maserati | Maserati | 19 | Ready |
| McLaren | McLaren | McLaren | 4 | Ready |
| Volvo | Volvo | Volvo | 80 | Ready |

### Group 9: Discontinued (No 2022+ Data)

| Make | VehAPI Name | Reason | Action |
|------|-------------|--------|--------|
| Hummer | Hummer | Discontinued 2010 (new EV under GMC) | Skip - use existing VehAPI |
| Scion | Scion | Discontinued 2016 | Skip - use existing VehAPI |
| Saab | Saab | Discontinued 2012 | Limited schemas (9) |
| Mercury | Mercury | Discontinued 2011 | No schemas |

---

## Extraction Architecture

### Data Flow
```
vPIC VIN Schemas → Pattern Extraction → Format Transformation → SQLite Pairs
         ↓
    Filter by:
    - 48 VehAPI makes only
    - Year >= 2022
    - Vehicle types (exclude motorcycles, trailers, buses)
```

### Core Query Strategy

For each allowed make:
1. Find WMIs linked to that make
2. Get VIN schemas for years 2022+
3. Extract from patterns:
   - Model (from schema name or pattern)
   - Trim (Element: Trim)
   - Displacement (Element: DisplacementL)
   - Horsepower (Element: EngineHP)
   - Cylinders (Element: EngineCylinders)
   - Engine Config (Element: EngineConfiguration)
   - Transmission Style (Element: TransmissionStyle)
   - Transmission Speeds (Element: TransmissionSpeeds)

---

## Acura Extraction Template

This pattern applies to Honda/Acura and similar well-structured manufacturers.

### Sample VIN Schema: Acura MDX 2025 (schema_id: 26929)

| Element | Code | Values |
|---------|------|--------|
| Trim | Trim | MDX, Technology, SH-AWD, SH-AWD Technology, SH-AWD A-Spec, SH-AWD Advance, SH-AWD A-Spec Advance, SH-AWD TYPE S ADVANCE |
| Displacement | DisplacementL | 3.5, 3.0 |
| Horsepower | EngineHP | 290, 355 |
| Cylinders | EngineCylinders | 6 |
| Engine Config | EngineConfiguration | V-Shaped |
| Trans Style | TransmissionStyle | Automatic |
| Trans Speeds | TransmissionSpeeds | 10 |

### Output Format

**Engine Display** (match VehAPI):
```
{DisplacementL}L {EngineHP} hp V{EngineCylinders}
→ "3.5L 290 hp V6"
```

**Transmission Display** (match VehAPI):
```
{TransmissionSpeeds}-Speed {TransmissionStyle}
→ "10-Speed Automatic"
```

### Extraction SQL Template

```sql
WITH schema_data AS (
    SELECT DISTINCT
        vs.id AS schema_id,
        vs.name AS schema_name,
        wvs.yearfrom,
        COALESCE(wvs.yearto, 2027) AS yearto,
        m.name AS make_name
    FROM vpic.wmi w
    JOIN vpic.make m ON w.makeid = m.id
    JOIN vpic.wmi_vinschema wvs ON w.id = wvs.wmiid
    JOIN vpic.vinschema vs ON wvs.vinschemaid = vs.id
    WHERE LOWER(m.name) IN ('acura', 'honda', ...)  -- VehAPI makes
      AND wvs.yearfrom >= 2022 OR (wvs.yearto >= 2022)
),
trim_data AS (
    SELECT DISTINCT sd.schema_id, p.attributeid AS trim
    FROM schema_data sd
    JOIN vpic.pattern p ON p.vinschemaid = sd.schema_id
    JOIN vpic.element e ON p.elementid = e.id
    WHERE e.code = 'Trim'
),
engine_data AS (
    SELECT DISTINCT
        sd.schema_id,
        MAX(CASE WHEN e.code = 'DisplacementL' THEN p.attributeid END) AS displacement,
        MAX(CASE WHEN e.code = 'EngineHP' THEN p.attributeid END) AS hp,
        MAX(CASE WHEN e.code = 'EngineCylinders' THEN p.attributeid END) AS cylinders,
        MAX(CASE WHEN e.code = 'EngineConfiguration' THEN ec.name END) AS config
    FROM schema_data sd
    JOIN vpic.pattern p ON p.vinschemaid = sd.schema_id
    JOIN vpic.element e ON p.elementid = e.id
    LEFT JOIN vpic.engineconfiguration ec ON e.code = 'EngineConfiguration'
        AND p.attributeid ~ '^[0-9]+$' AND ec.id = CAST(p.attributeid AS INT)
    WHERE e.code IN ('DisplacementL', 'EngineHP', 'EngineCylinders', 'EngineConfiguration')
    GROUP BY sd.schema_id, p.keys  -- Group by VIN pattern position
),
trans_data AS (
    SELECT DISTINCT
        sd.schema_id,
        t.name AS style,
        MAX(CASE WHEN e.code = 'TransmissionSpeeds' THEN p.attributeid END) AS speeds
    FROM schema_data sd
    JOIN vpic.pattern p ON p.vinschemaid = sd.schema_id
    JOIN vpic.element e ON p.elementid = e.id
    LEFT JOIN vpic.transmission t ON e.code = 'TransmissionStyle'
        AND p.attributeid ~ '^[0-9]+$' AND t.id = CAST(p.attributeid AS INT)
    WHERE e.code IN ('TransmissionStyle', 'TransmissionSpeeds')
    GROUP BY sd.schema_id, t.name
)
SELECT ...
```

---

## Allowed Makes (48 from VehAPI)

```python
ALLOWED_MAKES = [
    'Acura', 'Audi', 'Bentley', 'BMW', 'Buick', 'Cadillac', 'Chevrolet',
    'Chrysler', 'Dodge', 'Ferrari', 'FIAT', 'Ford', 'Genesis', 'GMC',
    'Honda', 'Hummer', 'Hyundai', 'INFINITI', 'Isuzu', 'Jaguar', 'Jeep',
    'Kia', 'Lamborghini', 'Lexus', 'Lincoln', 'Lotus', 'Maserati', 'Mazda',
    'McLaren', 'Mercedes-Benz', 'Mercury', 'MINI', 'Mitsubishi', 'Nissan',
    'Oldsmobile', 'Plymouth', 'Polestar', 'Pontiac', 'Porsche', 'RAM',
    'Rivian', 'Saab', 'Scion', 'smart', 'Subaru', 'Tesla', 'Toyota',
    'Volkswagen', 'Volvo'
]
```

Note: Some makes may have different names in vPIC (case variations, abbreviations).

---

## Implementation Steps

### Phase 1: Rewrite vpic_extract.py

**File:** `vpic_extract.py`

Core extraction query (uses wmi_make junction table):
```sql
WITH base AS (
    SELECT DISTINCT
        m.name AS make_name,
        vs.id AS schema_id,
        vs.name AS schema_name,
        generate_series(
            GREATEST(wvs.yearfrom, 2022),
            COALESCE(wvs.yearto, EXTRACT(YEAR FROM NOW()) + 2)
        )::INT AS year
    FROM vpic.make m
    JOIN vpic.wmi_make wm ON wm.makeid = m.id
    JOIN vpic.wmi w ON w.id = wm.wmiid
    JOIN vpic.wmi_vinschema wvs ON w.id = wvs.wmiid
    JOIN vpic.vinschema vs ON wvs.vinschemaid = vs.id
    WHERE LOWER(m.name) IN ({allowed_makes})
      AND (wvs.yearfrom >= 2022 OR wvs.yearto >= 2022)
)
SELECT ...
```

**Key functions to implement:**
1. `extract_model_from_schema_name(schema_name)` - Parse "Acura MDX Schema..." → "MDX"
2. `get_schema_patterns(schema_id)` - Get all pattern data for a schema
3. `format_engine_display(disp, hp, cyl, config)` - Format as "3.5L 290 hp V6"
4. `format_trans_display(style, speeds)` - Format as "10-Speed Automatic"
5. `generate_trans_records(has_data, style, speeds)` - Return 1 or 2 records

**Make name normalization:**
```python
MAKE_MAPPING = {
    'INFINITI': 'INFINITI',  # VehAPI uses all-caps
    'FIAT': 'FIAT',
    'RAM': 'RAM',
    'RIVIAN': 'Rivian',      # vPIC uses all-caps, normalize
    # ... etc
}
```

### Phase 2: Test Extraction

Test with validated VINs:
```bash
source .venv/bin/activate
python3 vpic_extract.py --test-vin 5J8YE1H05SL018611  # Acura MDX
python3 vpic_extract.py --test-vin 5TFJA5DB4SX327537  # Toyota Tundra
python3 vpic_extract.py --test-vin 3GTUUFEL6PG140748  # GMC Sierra
```

### Phase 3: Full Extraction

```bash
python3 vpic_extract.py --min-year 2022 --output-dir snapshots/vpic-2025-12
```

### Phase 4: Merge & Import

```bash
# Merge vPIC with existing VehAPI data
sqlite3 snapshots/merged/snapshot.sqlite "
CREATE TABLE pairs(...);
ATTACH 'snapshots/vehicle-drop-down.sqlite' AS db1;
ATTACH 'snapshots/vpic-2025-12/snapshot.sqlite' AS db2;
INSERT OR IGNORE INTO pairs SELECT * FROM db1.pairs WHERE year < 2022;
INSERT OR IGNORE INTO pairs SELECT * FROM db2.pairs;
"

# Generate SQL and import
python3 etl_generate_sql.py --snapshot-path snapshots/merged/snapshot.sqlite
./import_data.sh
```

---

## Files to Modify

| File | Changes |
|------|---------|
| `vpic_extract.py` | Complete rewrite: VIN schema extraction, dual-record trans logic |
| `README.md` | Already updated with workflow |

---

## Success Criteria

1. Extract all 41 makes with 2022+ VIN schemas
2. ~2,500-5,000 unique vehicle configurations (Year/Make/Model/Trim/Engine)
3. Transmission: Use vPIC data where available (7 makes), dual-record elsewhere
4. Output format matches VehAPI: "3.5L 290 hp V6" / "10-Speed Automatic"
5. Merge preserves 2015-2021 VehAPI data
6. QA validation passes after import

---

## Make Analysis Status (All Families Validated)

| Family | Makes | Status | Trans Data | Strategy |
|--------|-------|--------|------------|----------|
| Honda/Acura | Acura, Honda | VALIDATED | YES (93-97%) | Use vPIC trans data |
| Toyota/Lexus | Toyota, Lexus | VALIDATED | PARTIAL (Toyota 23%, Lexus 0%) | Dual-record for Lexus |
| Nissan/Infiniti | Nissan, Infiniti, Mitsubishi | VALIDATED | LOW (5%) | Dual-record |
| GM | Chevrolet, GMC, Buick, Cadillac | VALIDATED | LOW (0-7%) | Dual-record |
| Stellantis | Chrysler, Dodge, Jeep, Ram, Fiat | VALIDATED | NONE (0%) | Dual-record |
| Ford | Ford, Lincoln | VALIDATED | NONE (0%) | Dual-record |
| VW Group | Volkswagen, Audi, Porsche, Bentley, Lamborghini | VALIDATED | MIXED (0-84%) | VW/Audi use vPIC; others dual-record |
| BMW | BMW, MINI | VALIDATED | NONE (0%) | Dual-record |
| Mercedes | Mercedes-Benz, smart | VALIDATED | YES (52%) | Use vPIC trans data |
| Hyundai/Kia/Genesis | Hyundai, Kia, Genesis | VALIDATED | NONE (0%) | Dual-record |
| Subaru | Subaru | VALIDATED | YES (64%) | Use vPIC trans data |
| Mazda | Mazda | VALIDATED | LOW (11%) | Dual-record |
| Volvo | Volvo, Polestar | VALIDATED | LOW (3%/0%) | Dual-record |
| Exotics | Ferrari, Maserati, Jaguar, Lotus, McLaren | VALIDATED | MIXED | Per-make handling |
| EV | Tesla, Rivian | VALIDATED | NONE (0%) | Dual-record (though EVs don't have "manual") |

### Special Cases

1. **Electric Vehicles** (Tesla, Rivian, Polestar): Don't have manual transmissions
   - Still create dual-record for consistency with dropdown
   - User can select "Automatic" (single-speed EV)

2. **Luxury Exotics** (Ferrari, Lamborghini, etc.): Mix of automated manual/DCT
   - Dual-record covers all options

---

## CRITICAL FINDING: Transmission Data Availability

**Most manufacturers do NOT encode transmission info in VINs.**

### VIN Decode Validation Results (12 Families)

| Family | VIN | Make | Model | Year | Trim | Engine | Trans |
|--------|-----|------|-------|------|------|--------|-------|
| Honda/Acura | 5J8YE1H05SL018611 | ACURA | MDX | 2025 | SH-AWD A-Spec | 3.5L V6 290hp | 10-Spd Auto |
| Honda/Acura | 2HGFE4F88SH315466 | HONDA | Civic | 2025 | Sport Hybrid | 2.0L I4 141hp | e-CVT |
| Toyota/Lexus | 5TFJA5DB4SX327537 | TOYOTA | Tundra | 2025 | Limited | 3.4L V6 389hp | 10-Spd Auto |
| Nissan/Infiniti | 5N1AL1FW9TC332353 | INFINITI | QX60 | 2026 | Luxe | 2.0L (no cyl/hp) | **MISSING** |
| GM | 3GTUUFEL6PG140748 | GMC | Sierra | 2023 | AT4X | 6.2L V8 (no hp) | **MISSING** |
| Stellantis | 1C4HJXEG7PW506480 | JEEP | Wrangler | 2023 | Sahara | 3.6L V6 285hp | **MISSING** |
| Ford | 1FTFW4L59SFC03038 | FORD | F-150 | 2025 | Tremor | 5.0L V8 (no hp) | **MISSING** |
| VW Group | WVWEB7CD9RW229116 | VOLKSWAGEN | Golf R | 2024 | **MISSING** | 2.0L 4cyl 315hp | Auto (no spd) |
| BMW | 5YM13ET06R9S31554 | BMW | X5 | 2024 | X5 M Competition | 4.4L 8cyl 617hp | **MISSING** |
| Mercedes | W1KAF4HB1SR287126 | MERCEDES-BENZ | C-Class | 2025 | C300 4MATIC | 2.0L I4 255hp | 9-Spd Auto |
| Hyundai/Kia | 5XYRLDJC0SG336002 | KIA | Sorento | 2025 | S | 2.5L 4cyl 191hp | **MISSING** |
| Subaru | JF1VBAF67P9806852 | SUBARU | WRX | 2023 | Premium | 2.4L 4cyl 271hp | 6-Spd Manual |
| Mazda | JM3KFBCL3R0522361 | MAZDA | CX-5 | 2024 | Preferred Pkg | 2.5L I4 187hp | 6-Spd Auto |
| Volvo | YV4M12RJ9S1094167 | VOLVO | XC60 | 2025 | Core | 2.0L 4cyl 247hp | 8-Spd Auto |

### Transmission Data Coverage in vPIC Schemas

| Coverage | Makes | Trans Schemas / Total |
|----------|-------|----------------------|
| **HIGH (>40%)** | Honda, Acura, Subaru, Audi, VW, Mercedes, Jaguar | 225/233, 42/45, 47/74, 46/55, 47/132, 13/25, 17/17 |
| **LOW (<10%)** | Chevrolet, Cadillac, Nissan, Infiniti, Mazda, Volvo | 4/164, 7/43, 4/82, 4/74, 4/36, 2/72 |
| **NONE (0%)** | GMC, Buick, Ford, Lincoln, Jeep, Dodge, Chrysler, Ram, Fiat, BMW, MINI, Porsche, Hyundai, Kia, Genesis, Lexus, Tesla, Rivian, Polestar | 0% |

### Makes WITHOUT Transmission Data (22 of 41 makes = 54%)
- **ALL Stellantis**: Chrysler, Dodge, Jeep, Ram, Fiat
- **ALL Ford**: Ford, Lincoln
- **ALL Korean**: Hyundai, Kia, Genesis
- **ALL BMW Group**: BMW, MINI
- **GM (partial)**: GMC, Buick (Chevy/Cadillac have minimal)
- **Others**: Lexus, Porsche, Bentley, Lamborghini, Tesla, Rivian, Polestar

---

## Extraction Strategy (SELECTED)

### Dual-Record Strategy for Missing Transmission Data

When transmission data is NOT available from vPIC:
- **Create TWO records** for each vehicle configuration
- One with `trans_display = "Automatic"`, `trans_canon = "automatic"`
- One with `trans_display = "Manual"`, `trans_canon = "manual"`

This ensures:
- All transmission options available in dropdown for user selection
- User can select the correct transmission type
- No false "Unknown" values that break filtering

### Implementation Logic

```python
def generate_trans_records(has_trans_data: bool, trans_style: str, trans_speeds: str):
    if has_trans_data:
        # Use actual vPIC data
        return [(format_trans_display(trans_style, trans_speeds),
                 canonicalize_trans(trans_style))]
    else:
        # Generate both options
        return [
            ("Automatic", "automatic"),
            ("Manual", "manual")
        ]
```

### Expected Output Growth

For makes without trans data, record count approximately doubles:
- GMC Sierra AT4X + 6.2L V8 → 2 records (Auto + Manual)
- Ford F-150 Tremor + 5.0L V8 → 2 records (Auto + Manual)

This is acceptable as it provides complete dropdown coverage.

---

## Validated Extraction Examples

### Acura MDX 2025 (VIN: 5J8YE1H05SL018611)
- **vPIC**: Make=ACURA, Model=MDX, Trim=SH-AWD A-Spec, Engine=3.5L V6 290hp, Trans=10-Speed Automatic
- **Output**: `3.5L 290 hp V6` | `10-Speed Automatic`

### Honda Civic 2025 (VIN: 2HGFE4F88SH315466)
- **vPIC**: Make=HONDA, Model=Civic, Trim=Sport Hybrid / Sport Touring Hybrid, Engine=2L I4 141hp, Trans=e-CVT
- **Output**: `2.0L 141 hp I4` | `Electronic Continuously Variable (e-CVT)`

### Toyota Tundra 2025 (VIN: 5TFJA5DB4SX327537)
- **vPIC**: Make=TOYOTA, Model=Tundra, Trim=Limited, Engine=3.4L V6 389hp, Trans=10-Speed Automatic
- **Output**: `3.4L 389 hp V6` | `10-Speed Automatic`

### Mercedes C-Class 2025 (VIN: W1KAF4HB1SR287126)
- **vPIC**: Make=MERCEDES-BENZ, Model=C-Class, Trim=C300 4MATIC, Engine=2.0L I4 255hp, Trans=9-Speed Automatic
- **Output**: `2.0L 255 hp I4` | `9-Speed Automatic`

### Subaru WRX 2023 (VIN: JF1VBAF67P9806852)
- **vPIC**: Make=SUBARU, Model=WRX, Trim=Premium, Engine=2.4L 4cyl 271hp, Trans=6-Speed Manual
- **Output**: `2.4L 271 hp 4cyl` | `6-Speed Manual`

### Mazda CX-5 2024 (VIN: JM3KFBCL3R0522361)
- **vPIC**: Make=MAZDA, Model=CX-5, Trim=Preferred Package, Engine=2.5L I4 187hp, Trans=6-Speed Automatic
- **Output**: `2.5L 187 hp I4` | `6-Speed Automatic`

### Volvo XC60 2025 (VIN: YV4M12RJ9S1094167)
- **vPIC**: Make=VOLVO, Model=XC60, Trim=Core, Engine=2.0L 4cyl 247hp, Trans=8-Speed Automatic
- **Output**: `2.0L 247 hp 4cyl` | `8-Speed Automatic`