Download tests/test_match.py from drowzeys/keys-Auto-Receipts-Studio: direct link, hf CLI and curl.
- Browser
- Download file 2.7 kB
-
https://huggingface.co/drowzeys/keys-Auto-Receipts-Studio/resolve/main/tests/test_match.py
- Command line
-
hf download hf://drowzeys/keys-Auto-Receipts-Studio/tests/test_match.py
-
curl -L -o test_match.py https://huggingface.co/drowzeys/keys-Auto-Receipts-Studio/resolve/main/tests/test_match.py
2.7 kB
| from __future__ import annotations | |
| import math | |
| import pytest | |
| from app.config import Settings | |
| from app.db import add_catalog_item, init_schema, upsert_vector, VecLoadError, connect | |
| from app.match import band_for, distance_to_similarity, match_line_item | |
| from app.schemas import LineItem, MatchBand, ReceiptExtract | |
| from backends.base import InputType | |
| class FakeEmbed: | |
| name = "fake" | |
| dim = 8 | |
| def embed(self, texts: list[str], *, input_type: InputType) -> list[list[float]]: | |
| del input_type | |
| out = [] | |
| for text in texts: | |
| vec = [(b / 255.0) for b in (text.encode("utf-8") + b"\x00" * 8)[:8]] | |
| if "milk" in text.lower() or "MILK-1" in text: | |
| vec[0] = 1.0 | |
| vec[1] = 0.95 | |
| n = math.sqrt(sum(x * x for x in vec)) or 1.0 | |
| out.append([x / n for x in vec]) | |
| return out | |
| def health(self) -> bool: | |
| return True | |
| def test_bands() -> None: | |
| assert band_for(0.91, auto=0.88, review=0.72) is MatchBand.auto | |
| assert band_for(0.80, auto=0.88, review=0.72) is MatchBand.review | |
| assert band_for(0.10, auto=0.88, review=0.72) is MatchBand.unmatched | |
| assert abs(distance_to_similarity(0.2) - 0.8) < 1e-9 | |
| def test_exact_sku(settings: Settings) -> None: | |
| try: | |
| con = connect(settings.db_path) | |
| init_schema(con, settings) | |
| except VecLoadError: | |
| pytest.skip("sqlite-vec not loadable") | |
| cid = add_catalog_item(con, description="Milk 2%", sku="MILK-1", vendor="HEB") | |
| embed = FakeEmbed() | |
| from app.match import embed_catalog_row | |
| embed_catalog_row(con, settings, embed, cid) | |
| extract = ReceiptExtract(vendor="HEB", line_items=[]) | |
| item = LineItem(description="2% milk", sku="MILK-1") | |
| hit = match_line_item(con, settings, embed, extract, item) | |
| assert hit.band is MatchBand.exact | |
| assert hit.catalog_id == cid | |
| con.close() | |
| def test_knn_auto(settings: Settings) -> None: | |
| try: | |
| con = connect(settings.db_path) | |
| init_schema(con, settings) | |
| except VecLoadError: | |
| pytest.skip("sqlite-vec not loadable") | |
| embed = FakeEmbed() | |
| milk = add_catalog_item(con, description="organic milk", sku="X", vendor="HEB") | |
| other = add_catalog_item(con, description="bolts", sku="Y", vendor="Ace") | |
| from app.match import embed_catalog_row | |
| embed_catalog_row(con, settings, embed, milk) | |
| embed_catalog_row(con, settings, embed, other) | |
| extract = ReceiptExtract(vendor="HEB", line_items=[]) | |
| item = LineItem(description="milk") | |
| hit = match_line_item(con, settings, embed, extract, item) | |
| assert hit.catalog_id == milk | |
| assert hit.band in {MatchBand.auto, MatchBand.review} | |
| con.close() | |