228 lines
8 KiB
Python
228 lines
8 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING
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from typing import Any
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from typing import Literal
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import pytest
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from twitch.models import DropBenefit
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from twitch.models import DropCampaign
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from twitch.models import Game
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from twitch.models import Organization
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from twitch.models import TimeBasedDrop
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if TYPE_CHECKING:
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from django.test import Client
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from django.test.client import _MonkeyPatchedWSGIResponse
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from django.test.utils import ContextList
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@pytest.mark.django_db
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class TestSearchView:
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"""Tests for the search_view function."""
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@pytest.fixture
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def sample_data(self) -> dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit]:
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"""Create sample data for testing.
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Returns:
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A dictionary containing the created sample data.
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"""
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org: Organization = Organization.objects.create(twitch_id="123", name="Test Organization")
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game: Game = Game.objects.create(
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twitch_id="456",
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name="test_game",
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display_name="Test Game",
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owner=org,
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)
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campaign: DropCampaign = DropCampaign.objects.create(
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twitch_id="789",
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name="Test Campaign",
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description="A test campaign",
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game=game,
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)
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drop: TimeBasedDrop = TimeBasedDrop.objects.create(
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twitch_id="1011",
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name="Test Drop",
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campaign=campaign,
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)
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benefit: DropBenefit = DropBenefit.objects.create(
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twitch_id="1213",
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name="Test Benefit",
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)
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return {
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"org": org,
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"game": game,
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"campaign": campaign,
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"drop": drop,
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"benefit": benefit,
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}
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@staticmethod
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def _get_context(response: _MonkeyPatchedWSGIResponse) -> ContextList | dict[str, Any]:
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"""Normalize Django test response context to a plain dict.
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Args:
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response: The Django test response.
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Returns:
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The context as a plain dictionary.
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"""
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context: ContextList | dict[str, Any] = response.context
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if isinstance(context, list): # Django can return a list of contexts
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context = context[-1]
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return context
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def test_empty_query(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test search with empty query returns no results."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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assert "results" in context
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assert context["results"] == {}
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def test_no_query_parameter(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test search with no query parameter returns no results."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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assert context["results"] == {}
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@pytest.mark.parametrize(
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"model_key",
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["org", "game", "campaign", "drop", "benefit"],
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)
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def test_short_query_istartswith(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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model_key: Literal["org", "game", "campaign", "drop", "benefit"],
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) -> None:
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"""Test short query (< 3 chars) uses istartswith for all models."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=Te")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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# Map model keys to result keys
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result_key_map = {
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"org": "organizations",
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"game": "games",
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"campaign": "campaigns",
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"drop": "drops",
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"benefit": "benefits",
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}
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result_key = result_key_map[model_key]
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assert sample_data[model_key] in context["results"][result_key]
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@pytest.mark.parametrize(
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"model_key",
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["org", "game", "campaign", "drop", "benefit"],
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)
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def test_long_query_icontains(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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model_key: Literal["org", "game", "campaign", "drop", "benefit"],
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) -> None:
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"""Test long query (>= 3 chars) uses icontains for all models."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=Test")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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# Map model keys to result keys
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result_key_map = {
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"org": "organizations",
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"game": "games",
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"campaign": "campaigns",
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"drop": "drops",
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"benefit": "benefits",
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}
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result_key = result_key_map[model_key]
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assert sample_data[model_key] in context["results"][result_key]
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def test_campaign_description_search(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test that campaign description is searchable."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=campaign")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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assert sample_data["campaign"] in context["results"]["campaigns"]
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def test_game_display_name_search(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test that game display_name is searchable."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=Game")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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assert sample_data["game"] in context["results"]["games"]
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def test_query_no_matches(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test search with query that has no matches."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=xyz")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert response.status_code == 200
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for result_list in context["results"].values():
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assert len(result_list) == 0
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def test_context_contains_query(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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) -> None:
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"""Test that context contains the search query."""
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query = "Test"
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response: _MonkeyPatchedWSGIResponse = client.get(f"/search/?q={query}")
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context: ContextList | dict[str, Any] = self._get_context(response)
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assert context["query"] == query
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@pytest.mark.parametrize(
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("model_key", "related_field"),
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[
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("campaigns", "game"),
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("drops", "campaign"),
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],
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)
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def test_select_related_optimization(
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self,
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client: Client,
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sample_data: dict[str, Organization | Game | DropCampaign | TimeBasedDrop | DropBenefit],
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model_key: str,
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related_field: str,
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) -> None:
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"""Test that queries use select_related for performance optimization."""
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response: _MonkeyPatchedWSGIResponse = client.get("/search/?q=Test")
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context: ContextList | dict[str, Any] = self._get_context(response)
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results = context["results"][model_key]
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assert len(results) > 0
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# Verify the related object is accessible without additional query
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first_result = results[0]
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assert hasattr(first_result, related_field)
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