Test Files were modified again

tests/test_dataquality_kp.py

@@ -0,0 +1,352 @@
+"""seperate file for tests of dataquality_kp"""
+import aiohttp
+import pytest
+
+from app.i18n import active_translation
+from app.knowledge_panels import KnowledgePanels
+
+from .test_utils import mock_async_get_factory, tidy_html
+
+
+@pytest.fixture(autouse=True)
+def auto_activate_lang():
+    """auto activate translations for each function"""
+    with active_translation():
+        yield
+
+
+async def test_data_quality_kp_with_country(monkeypatch):
+    """test_data_quality_kp_with_country"""
+    expected_url = "https://tr-en.openfoodfacts.org/data-quality-errors.json"
+    base_url = "https://tr-en.openfoodfacts.org/data-quality-errors"
+    json_content = {
+        "count": 129,
+        "tags": [
+            {
+                "id": "en:ecoscore-production-system-no-label",
+                "known": 0,
+                "name": "ecoscore-production-system-no-label",
+                "products": 1848,
+                "url": f"{base_url}/ecoscore-production-system-no-label",
+            },
+            {
+                "id": "en:no-packaging-data",
+                "known": 0,
+                "name": "no-packaging-data",
+                "products": 1788,
+                "url": f"{base_url}/no-packaging-data",
+            },
+            {
+                "id": "en:ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "known": 0,
+                "name": "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "products": 1778,
+                "url": (
+                    f"{base_url}/" "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown"
+                ),
+            },
+        ],
+    }
+
+    monkeypatch.setattr(
+        aiohttp.ClientSession,
+        "get",
+        mock_async_get_factory(expected_url, json_content=json_content),
+    )
+    result = await KnowledgePanels(
+        facet="country", value="Turkey", country="Hungary"
+    ).data_quality_kp()
+    first_element = result["Quality"]["elements"][0]
+    first_element["text_element"]["html"] = tidy_html(first_element["text_element"]["html"])
+    expected_text = """
+    <ul>
+        <p>The total number of issues are <b>129</b></p>
+        <li>
+            <a href="https://tr-en.openfoodfacts.org/data-quality-errors/\
+            ecoscore-production-system-no-label">\
+            1848 products with ecoscore-production-system-no-label</a>
+        </li>
+        <li>
+            <a href="https://tr-en.openfoodfacts.org/data-quality-errors\
+            /no-packaging-data">1788 products with no-packaging-data</a>
+        </li>
+        <li>
+            <a href="https://tr-en.openfoodfacts.org/data-quality-errors\
+            /ecoscore-origins-of-ingredients-origins-are-100-percent-unknown">\
+            1778 products with ecoscore-origins-of-ingredients-origins-are-100-percent-unknown</a>
+        </li>
+    </ul>
+    """  # noqa: E501  # allow long lines
+    # assert html separately to have better output in case of error
+    assert first_element["text_element"]["html"] == tidy_html(expected_text)
+    # now replace it for concision of output
+    first_element["text_element"]["html"] = "ok"
+    assert result == {
+        "Quality": {
+            "elements": [
+                {
+                    "element_type": "text",
+                    "text_element": {
+                        "html": "ok",
+                        "source_text": "Data-quality issues",
+                        "source_url": "https://tr-en.openfoodfacts.org/data-quality-errors",
+                    },
+                }
+            ],
+            "title_element": {"title": "Data-quality issues related to Turkey "},
+        }
+    }
+
+
+async def test_data_quality_kp_with_one_facet_and_value(monkeypatch):
+    """test_data_quality_kp_with_one_facet_and_value"""
+    expected_url = "https://world.openfoodfacts.org/brand/lidl/data-quality-errors.json"
+    base_url = "https://world.openfoodfacts.org/brand/lidl/data-quality-errors"
+    json_content = {
+        "count": 181,
+        "tags": [
+            {
+                "id": "en:ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "known": 0,
+                "name": "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "products": 7898,
+                "url": (
+                    f"{base_url}/" "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown"
+                ),
+            },
+            {
+                "id": "en:ecoscore-production-system-no-label",
+                "known": 0,
+                "name": "ecoscore-production-system-no-label",
+                "products": 7883,
+                "url": f"{base_url}/ecoscore-production-system-no-label",
+            },
+            {
+                "id": "en:no-packaging-data",
+                "known": 0,
+                "name": "no-packaging-data",
+                "products": 6406,
+                "url": f"{base_url}/no-packaging-data",
+            },
+        ],
+    }
+
+    monkeypatch.setattr(
+        aiohttp.ClientSession,
+        "get",
+        mock_async_get_factory(expected_url, json_content=json_content),
+    )
+    result = await KnowledgePanels(facet="brand", value="lidl").data_quality_kp()
+    first_element = result["Quality"]["elements"][0]
+    first_element["text_element"]["html"] = tidy_html(first_element["text_element"]["html"])
+    expected_text = """
+    <ul>
+        <p>The total number of issues are <b>181</b></p>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl/data-quality-errors/\
+            ecoscore-origins-of-ingredients-origins-are-100-percent-unknown">\
+            7898 products with ecoscore-origins-of-ingredients-origins-are-100-percent-unknown</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl/data-quality-errors\
+            /ecoscore-production-system-no-label">\
+            7883 products with ecoscore-production-system-no-label</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl\
+            /data-quality-errors/no-packaging-data">6406 products with no-packaging-data</a>
+        </li>
+    </ul>
+    """  # noqa: E501  # allow long lines
+    # assert html separately to have better output in case of error
+    assert first_element["text_element"]["html"] == tidy_html(expected_text)
+    # now replace it for concision of output
+    first_element["text_element"]["html"] = "ok"
+    assert result == {
+        "Quality": {
+            "elements": [
+                {
+                    "element_type": "text",
+                    "text_element": {
+                        "html": "ok",
+                        "source_text": "Data-quality issues",
+                        "source_url": "https://world.openfoodfacts.org/brand/lidl/"
+                        + "data-quality-errors",
+                    },
+                }
+            ],
+            "title_element": {"title": "Data-quality issues related to brand lidl"},
+        }
+    }
+
+
+async def test_data_quality_kp_with_one_facet_and_value_plural_facet(monkeypatch):
+    """test_data_quality_kp_with_one_facet_and_value_plural_facet"""
+    expected_url = "https://world.openfoodfacts.org/brand/lidl/data-quality-errors.json"
+    base_url = "https://world.openfoodfacts.org/brand/lidl/data-quality-errors"
+    json_content = {
+        "count": 181,
+        "tags": [
+            {
+                "id": "en:ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "known": 0,
+                "name": "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "products": 7898,
+                "url": (
+                    f"{base_url}/" "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown"
+                ),
+            },
+            {
+                "id": "en:ecoscore-production-system-no-label",
+                "known": 0,
+                "name": "ecoscore-production-system-no-label",
+                "products": 7883,
+                "url": f"{base_url}/ecoscore-production-system-no-label",
+            },
+            {
+                "id": "en:no-packaging-data",
+                "known": 0,
+                "name": "no-packaging-data",
+                "products": 6406,
+                "url": f"{base_url}/no-packaging-data",
+            },
+        ],
+    }
+
+    monkeypatch.setattr(
+        aiohttp.ClientSession,
+        "get",
+        mock_async_get_factory(expected_url, json_content=json_content),
+    )
+    result = await KnowledgePanels(facet="brands", value="lidl").data_quality_kp()
+    first_element = result["Quality"]["elements"][0]
+    first_element["text_element"]["html"] = tidy_html(first_element["text_element"]["html"])
+    expected_text = """
+    <ul>
+        <p>The total number of issues are <b>181</b></p>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl/data-quality-errors/\
+            ecoscore-origins-of-ingredients-origins-are-100-percent-unknown">\
+            7898 products with ecoscore-origins-of-ingredients-origins-are-100-percent-unknown</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl/data-quality-errors/\
+            ecoscore-production-system-no-label">7883 products with ecoscore-production-system-no-label</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/brand/lidl/data-quality-errors\
+            /no-packaging-data">6406 products with no-packaging-data</a>
+        </li>
+    </ul>
+    """  # noqa: E501  # allow long lines
+    # assert html separately to have better output in case of error
+    assert first_element["text_element"]["html"] == tidy_html(expected_text)
+    # now replace it for concision of output
+    first_element["text_element"]["html"] = "ok"
+    assert result == {
+        "Quality": {
+            "elements": [
+                {
+                    "element_type": "text",
+                    "text_element": {
+                        "html": "ok",
+                        "source_text": "Data-quality issues",
+                        "source_url": "https://world.openfoodfacts.org/brand/lidl/"
+                        + "data-quality-errors",
+                    },
+                }
+            ],
+            "title_element": {"title": "Data-quality issues related to brand lidl"},
+        }
+    }
+
+
+async def test_data_quality_kp_with_all_tags(monkeypatch):
+    """test_data_quality_kp_with_all_tags"""
+    expected_url = (
+        "https://world.openfoodfacts.org/category/beers/brand/budweiser/data-quality-errors.json"
+    )
+    json_content = {
+        "count": 24,
+        "tags": [
+            {
+                "id": "en:alcoholic-beverages-category-without-alcohol-value",
+                "known": 0,
+                "name": "alcoholic-beverages-category-without-alcohol-value",
+                "products": 13,
+                "url": "https://world.openfoodfacts.org/category/beers/\
+                data-quality-errors/alcoholic-beverages-category-without-alcohol-value",
+                # noqa: E501  # allow long lines
+            },
+            {
+                "id": "en:ecoscore-production-system-no-label",
+                "known": 0,
+                "name": "ecoscore-production-system-no-label",
+                "products": 13,
+                "url": "https://world.openfoodfacts.org/category/beers/\
+                data-quality-errors/ecoscore-production-system-no-label",
+                # noqa: E501  # allow long lines
+            },
+            {
+                "id": "en:ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "known": 0,
+                "name": "ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                "products": 12,
+                "url": "https://world.openfoodfacts.org/category/beers/data-quality-errors/\
+                ecoscore-origins-of-ingredients-origins-are-100-percent-unknown",
+                # noqa: E501  # allow long lines
+            },
+        ],
+    }
+
+    monkeypatch.setattr(
+        aiohttp.ClientSession,
+        "get",
+        mock_async_get_factory(expected_url, json_content=json_content),
+    )
+    result = await KnowledgePanels(
+        facet="category", value="beers", sec_facet="brand", sec_value="budweiser"
+    ).data_quality_kp()
+    first_element = result["Quality"]["elements"][0]
+    first_element["text_element"]["html"] = tidy_html(first_element["text_element"]["html"])
+    expected_text = """
+    <ul>
+        <p>The total number of issues are <b>24</b></p>
+        <li>
+            <a href="https://world.openfoodfacts.org/category/beers/data-quality-errors/\
+            alcoholic-beverages-category-without-alcohol-value">\
+            13 products with alcoholic-beverages-category-without-alcohol-value</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/category/beers/data-quality-errors\
+            /ecoscore-production-system-no-label">13 products with ecoscore-production-system-no-label</a>
+        </li>
+        <li>
+            <a href="https://world.openfoodfacts.org/category/beers/data-quality-errors/\
+            ecoscore-origins-of-ingredients-origins-are-100-percent-unknown">\
+            12 products with ecoscore-origins-of-ingredients-origins-are-100-percent-unknown</a>
+        </li>
+    </ul>
+    """  # noqa: E501  # allow long lines
+    # assert html separately to have better output in case of error
+    assert first_element["text_element"]["html"] == tidy_html(expected_text)
+    # now replace it for concision of output
+    first_element["text_element"]["html"] = "ok"
+    assert result == {
+        "Quality": {
+            "elements": [
+                {
+                    "element_type": "text",
+                    "text_element": {
+                        "html": "ok",
+                        "source_text": "Data-quality issues",
+                        "source_url": "https://world.openfoodfacts.org/category/beers/\
+                        brand/budweiser/data-quality-errors",  # noqa: E501
+                    },
+                }
+            ],
+            "title_element": {
+                "title": "Data-quality issues related to category beers brand budweiser"
+            },
+        }
+    }