Files
goods/ingestion/tests/test_transform.py
T
lixu 766a573989 feat(M2): Open Food Facts 采集导入 ETL
- adapters/openfoodfacts.py: OFF API 适配器(限速+User-Agent) + JSONL/.gz dump 读取
- etl/transform.py: 纯函数转换(GTIN 校验/净含量解析+归一/营养 per_100g 双能量/过敏原添加剂清洗/关键词分类映射)
- etl/load.py: psycopg upsert(product/food_detail/product_image) + product_source 字段级溯源
- jobs/seed_off.py: CLI(--barcodes API / --dump 文件 / --limit)
- 测试: 13 个离线 transform 单测(fixture) + 可跳过的 DB 集成测试
- 依赖: 增加 psycopg[binary]
- 实跑: 从 OFF API 拉 5 个真实条码入本地 postgres 验证通过
- docs/etl-openfoodfacts.md: 流程/运行/字段映射

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-06-08 07:01:04 +00:00

68 lines
2.0 KiB
Python

import json
from decimal import Decimal
from pathlib import Path
import pytest
from opengoods.etl.transform import (
is_valid_gtin,
map_category,
parse_quantity,
transform,
transform_nutriments,
)
FIXTURE = json.loads((Path(__file__).parent / "fixtures" / "off_product.json").read_text())
def test_is_valid_gtin():
assert is_valid_gtin("3017624010701") # real EAN-13
assert is_valid_gtin("5449000000996") # Coca-Cola
assert not is_valid_gtin("3017624010700") # bad check digit
assert not is_valid_gtin("123")
assert not is_valid_gtin("notanumber")
def test_parse_quantity():
assert parse_quantity("400 g") == (Decimal("400"), "g")
assert parse_quantity("1,5 L") == (Decimal("1.5"), "L")
assert parse_quantity("") is None
assert parse_quantity("family size") is None
def test_map_category():
assert map_category({"product_name": "Spring Water"}) == "food.beverages.water"
assert map_category({"categories": "Dark chocolate"}) == "food.snacks.chocolate"
assert map_category({"product_name": "Mystery"}) is None
def test_transform_nutriments_dual_energy():
out = transform_nutriments(FIXTURE["nutriments"])
assert out["energy_kj"] == 2252.0
assert out["energy_kcal"] == 539.0
assert out["fat"] == 30.9
assert out["salt"] == 0.107
def test_transform_nutriments_fills_missing_energy():
out = transform_nutriments({"energy-kcal_100g": 100})
assert out["energy_kj"] == pytest.approx(418.4)
def test_transform_full_record():
rec = transform(FIXTURE)
assert rec is not None
assert rec["gtin"] == "3017624010701"
assert rec["name"] == "Nutella"
assert rec["brand"] == "Ferrero"
assert rec["net_content_unit"] == "g"
assert rec["net_content_canonical"] == Decimal("400")
assert rec["country_of_origin"] == "France"
assert rec["food"]["nutri_score"] == "E"
assert "milk" in rec["food"]["allergens"]
assert rec["image_url"].endswith(".jpg")
def test_transform_drops_unnamed():
assert transform({"code": "0000000000000"}) is None