xiaobai-review/tests/test_ifind_features.py

from __future__ import annotations

import tempfile
import unittest
from datetime import date, datetime, timedelta, timezone
from pathlib import Path
from unittest.mock import patch

from backend.features.market.charts import MarketChartClient
from database import ReviewDatabase
from backend.features.market.insights import MarketInsightsService
from server import DashboardService


class _FakeDailyHub:
    def __init__(self, rows: list) -> None:
        self.rows = rows

    def try_daily_chart(self, code, end_date, limit, dataset="daily"):
        return list(self.rows)

    def try_quotes(self, codes):
        return None

    def try_index_quotes(self):
        return None


class FakeIfind:
    configured = True

    def history(self, codes, indicators, start_date, end_date, cache_ttl=0):
        return [
            {
                "time": "2026-07-27",
                "thscode": "000001.SZ",
                "open": 10,
                "high": 10.5,
                "low": 9.8,
                "close": 10.2,
                "volume": 100,
                "amount": 1_000_000,
            },
            {
                "time": "2026-07-28",
                "thscode": "000001.SZ",
                "open": 10.2,
                "high": 10.8,
                "low": 10.1,
                "close": 10.5,
                "volume": 120,
                "amount": 1_200_000,
            },
        ]

    def real_time(self, codes, indicators, cache_ttl=0):
        return []


class FakeIfindStalePreopen(FakeIfind):
    def history(self, codes, indicators, start_date, end_date, cache_ttl=0):
        return [
            *super().history(codes, indicators, start_date, end_date, cache_ttl),
            {
                "time": "2026-07-29",
                "thscode": "000001.SZ",
                "open": 10.5,
                "high": 10.5,
                "low": 10.5,
                "close": 10.5,
                "volume": 0,
                "amount": 0,
            },
        ]

    def real_time(self, codes, indicators, cache_ttl=0):
        return [
            {
                "time": "2026-07-28 15:00:00",
                "open": 10.2,
                "high": 10.8,
                "low": 10.1,
                "latest": 10.5,
                "preClose": 10.2,
                "volume": 120,
                "amount": 1_200_000,
            }
        ]


class FixedPreopenDatetime(datetime):
    fixed_now = datetime(2026, 7, 29, 8, 45, tzinfo=timezone(timedelta(hours=8)))

    @classmethod
    def now(cls, tz=None):
        return cls.fixed_now


class FakeIfindSnapshots:
    configured = True

    def __init__(self):
        self.calls = []

    def snapshots(self, codes, indicators, start_time, end_time, cache_ttl=0):
        self.calls.append(
            {
                "codes": codes,
                "indicators": indicators,
                "start_time": start_time,
                "end_time": end_time,
                "cache_ttl": cache_ttl,
            }
        )
        return [
            {
                "time": "2026-07-28 09:21:00",
                "thscode": "000001.SZ",
                "latest": 10.5,
                "preClose": 10,
                "volume": 2000,
                "amount": 21000,
                "bidSize1": 1200,
                "askSize1": 800,
            }
        ]


class FakeTushare:
    pass


class IfindFeatureTests(unittest.TestCase):
    def test_wencai_saved_queries_are_isolated_by_user(self):
        with tempfile.TemporaryDirectory() as temporary:
            database = ReviewDatabase(Path(temporary) / "review.db")
            first = database.create_user("first-user", "salt", "hash")
            second = database.create_user("second-user", "salt", "hash")
            database.save_wencai_query(first["id"], "高质量", "ROE大于15%", "stock")

            self.assertEqual(len(database.list_wencai_saved_queries(first["id"])), 1)
            self.assertEqual(database.list_wencai_saved_queries(second["id"]), [])

    def test_ifind_daily_chart_normalizes_change(self):
        hub = _FakeDailyHub(
            [
                {
                    "trade_date": "2026-07-27",
                    "open": 10,
                    "high": 10.5,
                    "low": 9.8,
                    "close": 10.2,
                    "volume": 100,
                    "amount_billion": 0.01,
                    "change": 0,
                },
                {
                    "trade_date": "2026-07-28",
                    "open": 10.2,
                    "high": 10.8,
                    "low": 10.1,
                    "close": 10.5,
                    "volume": 120,
                    "amount_billion": 0.012,
                    "change": 2.9412,
                },
            ]
        )
        client = MarketChartClient(hub)
        rows = client.stock_daily("000001", "20260728")
        self.assertEqual(rows[-1]["trade_date"], "2026-07-28")
        self.assertAlmostEqual(rows[-1]["change"], 2.9412, places=4)

    def test_ifind_daily_chart_keeps_last_traded_bar_before_market_open(self):
        hub = _FakeDailyHub(
            [
                {
                    "trade_date": "2026-07-28",
                    "open": 10.2,
                    "high": 10.8,
                    "low": 10.1,
                    "close": 10.5,
                    "volume": 120,
                    "amount_billion": 0.012,
                }
            ]
        )
        client = MarketChartClient(hub)
        with patch("backend.features.market.charts.datetime", FixedPreopenDatetime):
            rows = client.stock_daily("000001", "20260729")

        self.assertEqual(rows[-1]["trade_date"], "2026-07-28")
        self.assertFalse(rows[-1].get("realtime", False))

    def test_event_enrichment_keeps_blank_broken_reason_blank(self):
        dashboard = {"broken": [{"code": "000001", "reason": "原原因"}]}
        DashboardService._merge_ifind_event_enrichment(
            dashboard,
            {
                "broken": {
                    "000001": {
                        "reason": "",
                        "first_time": "09:42:00",
                        "last_time": "",
                        "open_times": 3,
                    }
                }
            },
        )
        self.assertEqual(dashboard["broken"][0]["reason"], "原原因")
        self.assertEqual(dashboard["broken"][0]["open_times"], 3)

    def test_dynamic_auction_uses_ifind_snapshot_window_and_normalizes_rows(self):
        with tempfile.TemporaryDirectory() as temporary:
            database = ReviewDatabase(Path(temporary) / "review.db")
            database.upsert_stock_master(
                [
                    {
                        "ts_code": "000001.SZ",
                        "name": "Ping An Bank",
                        "industry": "Bank",
                        "market": "MainBoard",
                        "list_date": "19910403",
                    }
                ]
            )
            ifind = FakeIfindSnapshots()
            service = MarketInsightsService(
                database,
                FakeTushare(),
                now_provider=lambda: datetime(
                    2026, 7, 28, 9, 22, tzinfo=timezone(timedelta(hours=8))
                ),
                ifind=ifind,
            )
            service._auction_candidates = lambda rows, baseline: (
                [{"ts_code": "000001.SZ"}],
                {},
                [],
            )

            rows = service._dynamic_auction_rows("20260728", "20260727", 0)

            self.assertEqual(ifind.calls[0]["start_time"], "2026-07-28 09:15:00")
            self.assertEqual(ifind.calls[0]["end_time"], "2026-07-28 09:22:00")
            self.assertEqual(rows[0]["ts_code"], "000001.SZ")
            self.assertEqual(rows[0]["price"], 10.5)
            self.assertEqual(rows[0]["snapshot_time"], "2026-07-28 09:21:00")
            self.assertTrue(rows[0]["dynamic"])


if __name__ == "__main__":
    unittest.main()