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88 lines
2.0 KiB
Markdown
88 lines
2.0 KiB
Markdown
# HOUSEBOT-003: Purchase Parser (Hybrid Rules + LLM Fallback)
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## Summary
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Parse free-form purchase messages (primarily Russian) from the Telegram topic `Общие покупки` into structured ledger entries.
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## Goals
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- High precision amount extraction with deterministic rules first.
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- Fallback to LLM for ambiguous or irregular message formats.
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- Persist raw input, parsed output, and confidence score.
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## Non-goals
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- Receipt image OCR.
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- Full conversational NLP.
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## Scope
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- In: parsing pipeline, confidence policy, parser contracts.
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- Out: bot listener wiring (separate ticket).
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## Interfaces and Contracts
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- `parsePurchase(input): ParsedPurchaseResult`
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- `ParsedPurchaseResult`:
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- `amountMinor`
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- `currency`
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- `itemDescription`
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- `confidence`
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- `parserMode` (`rules` | `llm`)
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- `needsReview`
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## Domain Rules
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- GEL is default currency when omitted.
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- Confidence threshold determines auto-accept vs review flag.
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- Never mutate original message text.
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## Data Model Changes
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- `purchase_entries` fields:
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- `raw_text`
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- `parsed_amount_minor`
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- `currency`
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- `item_description`
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- `confidence`
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- `parser_mode`
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- `needs_review`
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## Security and Privacy
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- Sanitize prompt inputs for LLM adapter.
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- Do not send unnecessary metadata to LLM provider.
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## Observability
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- Parser mode distribution metrics.
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- Confidence histogram.
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- Error log for parse failures.
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## Edge Cases and Failure Modes
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- Missing amount.
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- Multiple possible amounts in one message.
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- Non-GEL currencies mentioned.
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- Typos and slang variants.
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## Test Plan
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- Unit:
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- regex extraction fixtures in RU/EN mixed text
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- confidence scoring behavior
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- Integration:
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- LLM fallback contract with mocked provider
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- E2E: consumed in bot ingestion ticket.
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## Acceptance Criteria
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- [ ] Rules parser handles common RU message patterns.
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- [ ] LLM fallback adapter invoked only when rules are insufficient.
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- [ ] Confidence and parser mode stored in result.
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- [ ] Tests include ambiguous message fixtures.
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## Rollout Plan
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- Start with conservative threshold and monitor review rate.
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