49 lines
2.0 KiB
Python
49 lines
2.0 KiB
Python
import tempfile
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import unittest
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from pathlib import Path
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from config import Config
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from database import connection, init_database, now_iso
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from ocr_dashboard_service import _overlay_acceptance_questions
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class OcrDashboardOverlayTest(unittest.TestCase):
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def setUp(self):
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self.temp_dir = tempfile.TemporaryDirectory()
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self.original_database_path = Config.DATABASE_PATH
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Config.DATABASE_PATH = Path(self.temp_dir.name) / "holy.db"
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init_database()
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now = now_iso()
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with connection() as conn:
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task_id = conn.execute(
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"""INSERT INTO acceptance_tasks
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(public_task_id,name,acceptance_method,status,progress_percent,device_count,
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created_by_id,created_by_name,created_at,updated_at,dashboard_batch_key)
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VALUES ('root','民生银行','combined','completed',100,1,'u','u',?,?,?)""",
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(now, now, "batch-1"),
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).lastrowid
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conn.executemany(
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"INSERT INTO acceptance_keywords(task_id,keyword_order,keyword,created_at) VALUES (?,?,?,?)",
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[(task_id, 0, "修改后的第一题", now), (task_id, 1, "第二题", now)],
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)
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def tearDown(self):
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Config.DATABASE_PATH = self.original_database_path
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self.temp_dir.cleanup()
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def test_current_acceptance_questions_replace_historical_list(self):
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data = {"questions": [
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{"question_code": "Q1", "search_keyword": "旧的第一题", "result_count": 10},
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{"question_code": "Q2", "search_keyword": "第二题", "result_count": 8},
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]}
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result = _overlay_acceptance_questions(data, "batch-1")
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self.assertEqual([item["search_keyword"] for item in result["questions"]], ["修改后的第一题", "第二题"])
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self.assertEqual(result["questions"][0]["result_count"], 0)
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self.assertEqual(result["questions"][1]["result_count"], 8)
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if __name__ == "__main__":
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unittest.main()
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