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Add restore-mode task launch flow

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This commit is contained in:
cillin
2026-03-24 15:27:35 +08:00
parent 6413edf8c9
commit 8d6c3c5647
12 changed files with 572 additions and 52 deletions
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48
backend/domains/news.py
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@@ -70,8 +70,14 @@ def get_enriched_news(
start_date: str | None = None,
end_date: str | None = None,
limit: int = 100,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=end_date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=end_date,
refresh_if_stale=refresh_if_stale,
)
rows = store.get_news_items_enriched(
ticker,
start_date=start_date,
@@ -101,8 +107,14 @@ def get_news_for_date(
ticker: str,
date: str,
limit: int = 20,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=date,
refresh_if_stale=refresh_if_stale,
)
rows = store.get_news_items_enriched(
ticker,
trade_date=date,
@@ -130,8 +142,14 @@ def get_news_timeline(
ticker: str,
start_date: str,
end_date: str,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=end_date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=end_date,
refresh_if_stale=refresh_if_stale,
)
timeline = store.get_news_timeline_enriched(
ticker,
start_date=start_date,
@@ -166,8 +184,14 @@ def get_news_categories(
start_date: str | None = None,
end_date: str | None = None,
limit: int = 200,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=end_date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=end_date,
refresh_if_stale=refresh_if_stale,
)
rows = store.get_news_items_enriched(
ticker,
start_date=start_date,
@@ -197,8 +221,14 @@ def get_similar_days_payload(
ticker: str,
date: str,
n_similar: int = 5,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=date,
refresh_if_stale=refresh_if_stale,
)
result = find_similar_days(
store,
symbol=ticker,
@@ -214,8 +244,14 @@ def get_story_payload(
*,
ticker: str,
as_of_date: str,
refresh_if_stale: bool = False,
) -> dict[str, Any]:
freshness = ensure_news_fresh(store, ticker=ticker, target_date=as_of_date)
freshness = ensure_news_fresh(
store,
ticker=ticker,
target_date=as_of_date,
refresh_if_stale=refresh_if_stale,
)
enrich_news_for_symbol(
store,
ticker,