refactor(selection): 统一信号与股票处理逻辑,重构相关数据结构与接口,更新前端展示以支持股票信息

This commit is contained in:
yuxuanhui
2026-08-28 11:39:05 +08:00
parent 3da992700b
commit ad9545ef55
12 changed files with 408 additions and 189 deletions
@@ -79,7 +79,7 @@ class SelectionRun:
finished_at: datetime | None = None
items: tuple[SelectionRunItem, ...] = field(default_factory=tuple)
signals: tuple[SelectionSignal, ...] = field(default_factory=tuple)
signals_total: int | None = None
stocks_total: int | None = None
class SelectionRunError(RuntimeError):
@@ -284,7 +284,7 @@ class PostgresSelectionRunRepository(SelectionRunStore):
*,
query: SelectionResultQuery | None = None,
) -> SelectionRun | None:
"""Read one run with filtered, paged signals and item failures."""
"""Read one run with filtered, stock-paged signals and item failures."""
try:
with self._connection() as connection:
@@ -361,27 +361,47 @@ class PostgresSelectionRunRepository(SelectionRunStore):
""",
(run_id,),
).fetchall()
signal_filter, signal_parameters = _signal_filter(query, run_id)
signal_total_row = connection.execute(
f"SELECT COUNT(*) FROM selection_signal WHERE {signal_filter}",
tuple(signal_parameters),
stock_filter, stock_parameters = _stock_filter(query, run_id)
stock_total_row = connection.execute(
f"SELECT COUNT(DISTINCT ts_code) FROM selection_signal WHERE {stock_filter}",
tuple(stock_parameters),
).fetchone()
signal_total = int(signal_total_row[0] or 0) if signal_total_row else 0
stock_total = int(stock_total_row[0] or 0) if stock_total_row else 0
offset = (query.page - 1) * query.page_size
signal_rows = connection.execute(
f"""
SELECT
ts_code, name, target_trade_date, strategy, category, close, details
FROM selection_signal
WHERE {signal_filter}
ORDER BY ts_code, {_SIGNAL_ORDER_SQL}
LIMIT %s OFFSET %s
""",
tuple((*signal_parameters, query.page_size, offset)),
).fetchall()
stock_rows = cast(
list[tuple[object, ...]],
connection.execute(
f"""
SELECT DISTINCT ts_code
FROM selection_signal
WHERE {stock_filter}
ORDER BY ts_code
LIMIT %s OFFSET %s
""",
tuple((*stock_parameters, query.page_size, offset)),
).fetchall(),
)
stock_codes = [str(value[0]) for value in stock_rows]
signal_rows = (
cast(
list[tuple[object, ...]],
connection.execute(
f"""
SELECT
ts_code, name, target_trade_date, strategy, category, close, details
FROM selection_signal
WHERE run_id = %s AND ts_code = ANY(%s)
ORDER BY ts_code, {_SIGNAL_ORDER_SQL}
""",
(run_id, stock_codes),
).fetchall(),
)
if stock_codes
else []
)
signals = tuple(
sorted(
(_signal_from_row(cast(tuple[object, ...], value)) for value in signal_rows),
(_signal_from_row(value) for value in signal_rows),
key=lambda signal: (
signal.ts_code,
_SIGNAL_PRIORITY.get(signal.category, len(_SIGNAL_PRIORITY)),
@@ -430,7 +450,7 @@ class PostgresSelectionRunRepository(SelectionRunStore):
finished_at=cast(datetime | None, row[15]),
items=items,
signals=signals,
signals_total=signal_total,
stocks_total=stock_total,
)
@contextmanager
@@ -481,8 +501,13 @@ def _signal_from_row(row: tuple[object, ...]) -> SelectionSignal:
)
def _signal_filter(query: SelectionResultQuery, run_id: str) -> tuple[str, list[object]]:
"""Build the parameterized WHERE clause shared by count and page reads."""
def _stock_filter(query: SelectionResultQuery, run_id: str) -> tuple[str, list[object]]:
"""Build the signal predicate used to select distinct matching stocks.
A category narrows which stocks qualify for the page. Once a stock
qualifies, the repository loads every signal for that stock so callers
can present all independently persisted categories together.
"""
clauses = ["run_id = %s"]
parameters: list[object] = [run_id]
@@ -12,6 +12,7 @@ from zhixing_server.bootstrap.config import Settings, get_settings
from zhixing_server.modules.selection.application.run import (
RunZhixingB1,
)
from zhixing_server.modules.selection.domain.models import SelectionSignal
from zhixing_server.modules.selection.domain.runs import (
SelectionRerunRequired,
SelectionResultQuery,
@@ -93,8 +94,25 @@ def _empty_signals() -> list[SelectionSignalResponse]:
return []
class SelectionStockResponse(BaseModel):
"""One selected stock with all independently persisted signals."""
ts_code: str
name: str
target_trade_date: date
strategy: StrategyValue
close: float
signals: list[SelectionSignalResponse] = Field(default_factory=_empty_signals)
def _empty_stocks() -> list[SelectionStockResponse]:
"""Create a typed default stock-result list."""
return []
class SelectionResultsResponse(BaseModel):
"""Batch summary and one filtered page of signals consumed by the Web feature."""
"""Batch summary and one filtered page of selected stocks."""
strategy: StrategyValue
target_trade_date: date | None
@@ -114,9 +132,9 @@ class SelectionResultsResponse(BaseModel):
finished_at: datetime | None = None
page: int = Field(default=1, ge=1)
page_size: int = Field(default=10, ge=1, le=100)
signals_total: int = Field(default=0, ge=0)
stocks_total: int = Field(default=0, ge=0)
failures: list[SelectionFailureResponse] = Field(default_factory=_empty_failures)
signals: list[SelectionSignalResponse] = Field(default_factory=_empty_signals)
stocks: list[SelectionStockResponse] = Field(default_factory=_empty_stocks)
def get_selection_service(
@@ -247,7 +265,7 @@ def get_selection_results(
coverage=0,
page=query.page,
page_size=query.page_size,
signals_total=0,
stocks_total=0,
)
return _run_response(run, query=query)
@@ -255,6 +273,10 @@ def get_selection_results(
def _run_response(run: SelectionRun, *, query: SelectionResultQuery) -> SelectionResultsResponse:
"""Translate a domain run without exposing storage-specific fields."""
signals_by_stock: dict[str, list[SelectionSignalResponse]] = {}
for signal in run.signals:
signals_by_stock.setdefault(signal.ts_code, []).append(_signal_response(signal))
return SelectionResultsResponse(
strategy=run.strategy,
target_trade_date=run.target_trade_date,
@@ -274,7 +296,9 @@ def _run_response(run: SelectionRun, *, query: SelectionResultQuery) -> Selectio
finished_at=run.finished_at,
page=query.page,
page_size=query.page_size,
signals_total=run.signals_total if run.signals_total is not None else run.signal_count,
stocks_total=(
run.stocks_total if run.stocks_total is not None else run.selected_stock_count
),
failures=[
SelectionFailureResponse(
ts_code=item.ts_code,
@@ -285,21 +309,34 @@ def _run_response(run: SelectionRun, *, query: SelectionResultQuery) -> Selectio
for item in run.items
if item.status in {"insufficient_history", "missing_target_bar", "data_error"}
],
signals=[
SelectionSignalResponse(
ts_code=signal.ts_code,
name=signal.name,
target_trade_date=signal.target_trade_date,
strategy=signal.strategy,
category=signal.category.value,
close=signal.close,
details=dict(signal.details),
stocks=[
SelectionStockResponse(
ts_code=signals[0].ts_code,
name=signals[0].name,
target_trade_date=signals[0].target_trade_date,
strategy=signals[0].strategy,
close=signals[0].close,
signals=signals,
)
for signal in run.signals
for signals in signals_by_stock.values()
],
)
def _signal_response(signal: SelectionSignal) -> SelectionSignalResponse:
"""Map a domain signal while preserving its category-specific details."""
return SelectionSignalResponse(
ts_code=signal.ts_code,
name=signal.name,
target_trade_date=signal.target_trade_date,
strategy=signal.strategy,
category=signal.category.value,
close=signal.close,
details=dict(signal.details),
)
def _result_query(
page: int,
page_size: int,
@@ -330,6 +367,7 @@ __all__ = [
"SelectionResultsResponse",
"SelectionRunAcceptedResponse",
"SelectionRunRequest",
"SelectionStockResponse",
"get_selection_service",
"get_selection_postgres_pool",
"selection_router",
+31 -11
View File
@@ -91,7 +91,7 @@ class FakeSelectionService:
def _run(run_id: str, status: str) -> SelectionRun:
signal = SelectionSignal(
original_signal = SelectionSignal(
ts_code="000001.SZ",
name="平安银行",
target_trade_date=TARGET,
@@ -100,6 +100,15 @@ def _run(run_id: str, status: str) -> SelectionRun:
close=10.5,
details={"j": 12.0},
)
pullback_signal = SelectionSignal(
ts_code="000001.SZ",
name="平安银行",
target_trade_date=TARGET,
strategy="zhixing_b1",
category=ZhixingB1Category.PULLBACK_WHITE,
close=10.5,
details={"j": 13.0, "rsi": 20.0},
)
from zhixing_server.modules.selection.domain.runs import SelectionRunItem
return SelectionRun(
@@ -112,7 +121,7 @@ def _run(run_id: str, status: str) -> SelectionRun:
eligible_count=1,
evaluated_count=1,
selected_stock_count=1,
signal_count=1,
signal_count=2,
failed_count=0,
coverage=Decimal("1"),
items=(
@@ -120,11 +129,12 @@ def _run(run_id: str, status: str) -> SelectionRun:
ts_code="000001.SZ",
name="平安银行",
status="selected",
signal_count=1,
signals=(signal,),
signal_count=2,
signals=(original_signal, pullback_signal),
),
),
signals=(signal,),
signals=(original_signal, pullback_signal),
stocks_total=1,
)
@@ -209,7 +219,7 @@ def test_query_returns_no_data_without_fabricating_a_result() -> None:
assert response.status_code == 200
assert response.json()["status"] == "no_data"
assert response.json()["signals"] == []
assert response.json()["stocks"] == []
def test_query_returns_persisted_signal_details() -> None:
@@ -220,12 +230,22 @@ def test_query_returns_persisted_signal_details() -> None:
assert response.status_code == 200
body = response.json()
assert body["run_id"] == "run-http"
assert body["signal_count"] == 1
assert body["signal_count"] == 2
assert body["page"] == 1
assert body["page_size"] == 10
assert body["signals_total"] == 1
assert body["signals"][0]["category"] == "zhixing_b1_original_b1"
assert body["signals"][0]["details"] == {"j": 12.0}
assert body["stocks_total"] == 1
assert "signals_total" not in body
assert "signals" not in body
assert len(body["stocks"]) == 1
assert body["stocks"][0]["ts_code"] == "000001.SZ"
assert [signal["category"] for signal in body["stocks"][0]["signals"]] == [
"zhixing_b1_original_b1",
"zhixing_b1_pullback_white",
]
assert [signal["details"] for signal in body["stocks"][0]["signals"]] == [
{"j": 12.0},
{"j": 13.0, "rsi": 20.0},
]
def test_query_forwards_pagination_and_filters() -> None:
@@ -269,4 +289,4 @@ def test_run_polling_returns_the_persisted_terminal_result() -> None:
assert response.status_code == 200
assert response.json()["status"] == "success"
assert response.json()["signals"][0]["category"] == "zhixing_b1_original_b1"
assert response.json()["stocks"][0]["signals"][0]["category"] == ("zhixing_b1_original_b1")
@@ -283,8 +283,10 @@ class LoadConnection:
)
if "FROM selection_run_item" in query:
return LoadResult(rows=[("000001.SZ", "平安银行", "selected", 2, None)])
if "COUNT(*) FROM selection_signal" in query:
if "COUNT(DISTINCT ts_code) FROM selection_signal" in query:
return LoadResult(row=(2,))
if "SELECT DISTINCT ts_code" in query:
return LoadResult(rows=[("000001.SZ",)])
return LoadResult(
rows=[
(
@@ -301,7 +303,7 @@ class LoadConnection:
"平安银行",
TARGET,
"zhixing_b1",
ZHIXING_B1_SIGNAL_ORDER[0].value,
ZhixingB1Category.ORIGINAL_B1.value,
Decimal("10.5"),
{},
),
@@ -309,6 +311,16 @@ class LoadConnection:
)
class EmptyStockPageConnection(LoadConnection):
"""Return a non-zero filtered total with no stocks on the requested page."""
def execute(self, query: str, parameters: tuple[object, ...]) -> "LoadResult":
if "SELECT DISTINCT ts_code" in query:
self.statements.append((query, parameters))
return LoadResult(rows=[])
return super().execute(query, parameters)
class LoadResult:
def __init__(
self,
@@ -326,7 +338,9 @@ class LoadResult:
return self.rows
def test_get_run_orders_signals_by_formula_priority(monkeypatch: pytest.MonkeyPatch) -> None:
def test_get_run_pages_stocks_and_loads_all_signals_for_category_matches(
monkeypatch: pytest.MonkeyPatch,
) -> None:
connection = LoadConnection()
def connect(database_url: str) -> LoadConnection:
@@ -337,7 +351,7 @@ def test_get_run_orders_signals_by_formula_priority(monkeypatch: pytest.MonkeyPa
run = PostgresSelectionRunRepository("postgresql://test").get_run(
"run-1",
query=SelectionResultQuery(
page=2,
page=1,
page_size=1,
search="100%",
category="pullback",
@@ -346,20 +360,57 @@ def test_get_run_orders_signals_by_formula_priority(monkeypatch: pytest.MonkeyPa
assert run is not None
assert [signal.category for signal in run.signals] == [
ZHIXING_B1_SIGNAL_ORDER[0],
ZhixingB1Category.ORIGINAL_B1,
ZHIXING_B1_SIGNAL_ORDER[-1],
]
assert run.stocks_total == 2
count_query, count_parameters = next(
(query, parameters)
for query, parameters in connection.statements
if "COUNT(*) FROM selection_signal" in query
if "COUNT(DISTINCT ts_code) FROM selection_signal" in query
)
assert "name ILIKE %s ESCAPE" in count_query
assert count_parameters == ("run-1", "%100\\%%", "%100\\%%", "zhixing_b1_pullback_%")
page_query, page_parameters = next(
stock_page_query, page_parameters = next(
(query, parameters)
for query, parameters in connection.statements
if "LIMIT %s OFFSET %s" in query
if "SELECT DISTINCT ts_code" in query
)
assert "ORDER BY ts_code, CASE category" in page_query
assert page_parameters[-2:] == (1, 1)
assert "ORDER BY ts_code" in stock_page_query
assert page_parameters[-2:] == (1, 0)
signal_query, signal_parameters = next(
(query, parameters)
for query, parameters in connection.statements
if "ts_code = ANY(%s)" in query and "SELECT\n" in query
)
assert "ORDER BY ts_code, CASE category" in signal_query
assert "category LIKE" not in signal_query
assert signal_parameters == ("run-1", ["000001.SZ"])
def test_get_run_does_not_load_signals_for_an_empty_stock_page(
monkeypatch: pytest.MonkeyPatch,
) -> None:
connection = EmptyStockPageConnection()
def connect(database_url: str) -> EmptyStockPageConnection:
assert database_url == "postgresql://test"
return connection
monkeypatch.setattr(psycopg, "connect", connect)
run = PostgresSelectionRunRepository("postgresql://test").get_run(
"run-1",
query=SelectionResultQuery(page=3, page_size=1),
)
assert run is not None
assert run.stocks_total == 2
assert run.signals == ()
stock_page_query, stock_page_parameters = next(
(query, parameters)
for query, parameters in connection.statements
if "SELECT DISTINCT ts_code" in query
)
assert "ORDER BY ts_code" in stock_page_query
assert stock_page_parameters[-2:] == (1, 2)
assert not any("ts_code = ANY(%s)" in query for query, _ in connection.statements)