saraNour/compliments-reference-phase2

Phase 2 — Semantic Normalization / Identity Extraction

Compliments Reference DB Pipeline

Version: 2.0.0 Date: 2026-07-30 Status: PASS

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Purpose

Phase 2 reads the validated Phase 1 output and performs semantic normalization (brand → brand_norm + product_line) and identity attribute extraction from the original title. Phase 2 is purely semantic — it does NOT duplicate basic string cleaning now handled by Phase 1.

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Input

Property	Value
Source	phase1/outputs/phase1_output.parquet
Row Count	4,440
Column Count	20

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What Phase 2 Does

1. Brand Semantic Normalization

• Uses brand_clean from Phase 1 (already whitespace/case normalized)
• Maps 8 cleaned brand variants to brand_norm (Compliments/Sensations) + product_line (Core/Organic/Balance/Naturally Simple/Green/Little Ones/Sensations)
• Does NOT duplicate whitespace/case cleaning (Phase 1 handles this)

2. Identity Attribute Extraction (from ORIGINAL title)

• 9 boolean flags from ORIGINAL title: is_organic, is_gluten_free, is_naturally_simple, is_sugar_free, is_unsalted, is_lactose_free, is_peanut_free, is_plant_based, is_reduced_sodium
• Fat-level extraction: fat_free / reduced_fat / regular
• Fat-percentage extraction: Numeric % from title
• Flavour extraction: 32 keyword list
• Formulation extraction: 14 keyword list

3. Title Processing

• Core-title extraction: Strip brand prefix + size + bracket content (uses title_clean from Phase 1)
• Variant attributes parsing: Size string → structured JSON

4. Identity Hash

• Deterministic 14-field hash (for reference; grouping in Phase 3)

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Phase 2 Does NOT

• Perform product grouping
• Perform food/non-food classification
• Use taxonomy
• Use nutrition data
• Use external data sources
• Modify original title, upc, external_id, or other source identifiers
• Duplicate string cleaning already done in Phase 1

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Output Schema

The Phase 2 output (phase2_output.parquet) contains 38 columns:

Original Columns (14, preserved from Phase 1)

#	Column	Type
1	upc	str
2	external_id	str
3	brand	str
4	title	str
5	price	float64
6	price_currency	str
7	size	str
8	size_amount	float64
9	size_unit	str
10	size_qty	int64
11	size_unit_norm	str
12	image_url	str
13	source	str
14	source_url	str

Phase 1 Cleaned Columns (6, preserved from Phase 1)

#	Column	Type	Description
15	brand_clean	str	Cleaned brand (from Phase 1)
16	brand_raw	str	Original brand (from Phase 1)
17	title_clean	str	Cleaned title (from Phase 1)
18	title_raw	str	Original title (from Phase 1)
19	upc_raw	str	Original UPC (from Phase 1)
20	external_id_raw	str	Original external_id (from Phase 1)

New Columns (18, added by Phase 2)

#	Column	Type	Description
21	brand_norm	str	Normalized brand (Compliments/Sensations)
22	product_line	str	Product line (Core/Organic/Balance/Naturally Simple/Green/Little Ones/Sensations)
23	is_organic	bool	Organic flag
24	is_gluten_free	bool	Gluten-free flag
25	is_naturally_simple	bool	Naturally Simple flag
26	is_sugar_free	bool	Sugar-free flag
27	is_unsalted	bool	Unsalted flag
28	is_lactose_free	bool	Lactose-free flag
29	is_peanut_free	bool	Peanut-free flag
30	is_plant_based	bool	Plant-based flag
31	is_reduced_sodium	bool	Reduced sodium flag
32	fat_level	str	Fat level (fat_free/reduced_fat/regular)
33	fat_percentage	float64	Fat percentage from title (nullable)
34	flavour	list	Extracted flavour keywords
35	formulation	list	Extracted formulation keywords
36	variant_attributes	str	Parsed size as JSON
37	core_title	str	Title with brand prefix + size stripped
38	identity_hash	str	Deterministic 14-field identity hash

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Validation Results

Check	Result
Row count preserved (4,440)	PASS
All original columns preserved	PASS
All 18 new columns added	PASS
Brand normalization (2 values)	PASS
Product line (7 values)	PASS
Fat level values valid	PASS
Identity flags are boolean	PASS
Core titles not empty	PASS
Identity hashes not empty	PASS
No duplicate external_ids	PASS
Overall	PASS

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Files

phase2/
    README.md
    src/phase2.py
    notebooks/phase2.ipynb
    outputs/
        phase2_output.parquet
        phase2_executed.ipynb
    validation/
        phase2_validation.json
    statistics/
        phase2_statistics.json

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How to Run

# Using the Python script
cd /home/sara/gsoc/compliments-reference-db
python -m phase2.src.phase2

# Using the notebook
jupyter notebook phase2/notebooks/phase2.ipynb

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Handoff to Phase 3

Phase 3 must read:

• phase2/outputs/phase2_output.parquet

Phase 3 must NOT:

• Re-download from HuggingFace
• Read the original products.parquet directly
• Read Phase 1 output directly
• Use any other data source