File size: 5,117 Bytes
1b91aee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | # Phase 5 — Nutrition Integration
## Compliments Reference DB Pipeline
**Version:** 1.0.0
**Date:** 2026-07-30
**Status:** PASS
---
## Purpose
Phase 5 integrates nutrition data from the authoritative source into the Compliments Reference DB. It joins nutrition.parquet with the product pipeline using deterministic matching by external_id.
---
## Inputs
| Dataset | Source | Description |
|---------|--------|-------------|
| `nutrition.parquet` | `saraNour/compliments-brand/source_of_truth/` | Authoritative nutrition data (4,440 × 21) |
| `products.parquet` | `saraNour/compliments-brand/source_of_truth/` | Authoritative product catalog (4,440 × 16) |
| `product_group_mapping.csv` | Phase 3 output | Product → group mapping (4,440 × 14) |
| `product_variant_mapping.parquet` | Phase 4 output | Product → variant mapping (4,440 × 11) |
---
## Outputs
All production data tables are Parquet.
### product_group_mapping.parquet
- Phase 3 mapping converted to Parquet for downstream consumption
- 4,440 rows × 14 columns
### nutrition_cleaned.parquet
- Cleaned/validated nutrition source
- Original values preserved
- Quality flags included
- 4,440 rows × 23 columns
### product_nutrition_mapping.parquet
- Product ↔ nutrition mapping with group_id and variant_id
- 4,440 rows × 27 columns
### nutrition_per_100g.parquet
- Normalized per-100g nutrition values
- Conversion/provenance metadata
- 4,440 rows × 24 columns
### phase5_statistics.parquet
- Summary metrics
### phase5_validation.parquet
- Validation checks and results
---
## Matching Strategy
**Primary key:** `external_id` (exact match)
**Confidence:** HIGH
**Coverage:** 100% (4,440/4,440)
No fallback matching was needed. The relationship is 1:1.
---
## Normalization Strategy
Nutrition values are normalized to per-100g only when a reliable serving-size conversion is possible.
| Method | Count | Description |
|--------|------:|-------------|
| Direct 100g/mL | 150 | serving_size is 100 g or 100 mL |
| Scaled to 100g/mL | 1,351 | Serving size in g or mL, scaled proportionally |
| Not normalized | 2,939 | Ambiguous serving unit or missing serving_size |
### Why Not Normalized?
- **Missing serving_size** (1,505 records): Non-food products (light bulbs, gloves, etc.)
- **Ambiguous serving unit** (1,434 records): tbsp, cup, tsp, slices, pieces, etc. — no reliable gram equivalent available
- **No fabrication**: We do NOT invent serving weight conversions
---
## Suspicious Value Policy
Suspicious values are **flagged, not overwritten**.
| Field | Threshold | Records Flagged |
|-------|-----------|----------------:|
| calories | > 1000 | 1 |
| fat_g | > 100 | 1 |
| protein_g | > 100 | 1 |
Original values are preserved in `nutrition_cleaned.parquet` with `nutrition_quality_status = 'SUSPICIOUS'`.
---
## Quality Status
| Status | Count | Description |
|--------|------:|-------------|
| VALID | 2,932 | Normal nutrition values |
| MISSING | 1,505 | All 17 nutrition fields null (non-food products) |
| SUSPICIOUS | 3 | Out-of-range values flagged |
---
## Validation
| Rule | Description | Result |
|------|-------------|--------|
| 1 | All products have nutrition match | PASS |
| 2 | No duplicate external_ids | PASS |
| 3 | No duplicate matches | PASS |
| 4 | Suspicious values preserved | PASS |
| 5 | No fabricated values | PASS |
| 6 | No external data used | PASS |
| 7 | All outputs Parquet | PASS |
| 8 | No LLM used | PASS |
| **Overall** | | **PASS** |
---
## Traceability
```
products.parquet (source of truth)
↓
nutrition.parquet (source of truth)
↓
Phase 5: nutrition_cleaned.parquet
↓
Phase 5: product_nutrition_mapping.parquet
↓ (group_id from Phase 3, variant_id from Phase 4)
Phase 5: nutrition_per_100g.parquet
↓
Phase 6: Nutrition Scoring
```
---
## Limitations
1. **Per-100g normalization is partial** — only possible for ~34% of records (1,501/4,440)
2. **Serving size parsing is limited** — complex formats like "1 cup (250 mL)" are not parsed
3. **Suspicious values are flagged, not corrected** — requires domain expert review
4. **Non-food products have no nutrition** — 1,505 records with all-null nutrition fields
---
## Files
```
phase5/
├── README.md
├── src/
│ └── phase5.py
├── notebooks/
│ ├── phase5.ipynb
│ └── phase5_executed.ipynb
├── outputs/
│ ├── product_group_mapping.parquet
│ ├── nutrition_cleaned.parquet
│ ├── product_nutrition_mapping.parquet
│ ├── nutrition_per_100g.parquet
│ ├── phase5_statistics.parquet
│ └── phase5_validation.parquet
├── validation/
│ └── phase5_validation.json
└── statistics/
└── phase5_statistics.json
```
---
## How to Run
```bash
cd /home/sara/gsoc/compliments-reference-db
python -m phase5.src.phase5
```
---
## LLM Usage
None. All matching is deterministic by external_id.
## External Datasets
None. Only authoritative nutrition source used.
---
*Generated by Phase 5 Production Pipeline*
*Date: 2026-07-30*
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