rfq-parser 0.1.0

Fast rule-based parser for RFQ documents and short product queries

rfq-parser

Fast, rule-based parser for RFQ (Request for Quotation) documents and short product queries.

Built in Rust with Python bindings via PyO3. Extracts structured product specifications in <1ms — no LLM, no network calls.

Install

pip install rfq-parser

Quick start

import rfq_parser

# Short product query
result = rfq_parser.parse("500 polo shirts red size XL")
item = result.items[0]
print(item.chunks)     # "polo shirts"
print(item.qty)        # 500.0
print(item.uom)        # None (implicit pieces)
print(item.colors)     # ["red"]
print(item.sizes)      # ["XL"]

# RFQ document
rfq = """
Please quote for:
1. Car Battery, 3000 Cartons, Black, 70Ah, Japan. Target: 12 USD/unit.
2. Silk Fabric, 500 Yards, Red, 150cm width, China.
"""
result = rfq_parser.parse(rfq)
for item in result.items:
    print(f"{item.index}. {item.chunks} — qty={item.qty} {item.uom}")
    print(f"   colors={item.colors}, origin={item.origin}")

if result.is_rfq:
    tt = result.trade_terms()  # TradeTerms | None

What it extracts

Each ParsedItem contains:

Field	Description
chunks	Product noun phrase(s), connectors preserved ("polo shirt OR t-shirt")
qty, qty_max, uom	Quantity and unit of measure
colors, sizes, materials	Ontology-matched specs
standards, specs	Technical standards and extra specs
origin, price, currency	RFQ-specific fields
dims	Dimensions (e.g. ["150cm", "70Ah"])

ParseResult.trade_terms() returns a TradeTerms object with incoterm, currency, destination, lead_time, payment for RFQ documents.

Why rule-based?

• Deterministic — same input always gives the same output
• Fast — <1ms, safe to call on every keystroke
• No dependencies — no model to download, no API key
• LLM-friendly — use the structured output as context to reduce token count in downstream LLM calls

Supported

• English, Vietnamese, French product queries
• Informal RFQ emails and formal procurement documents
• Multi-item RFQs with trade terms (Incoterms, payment, lead time)

License

MIT