From 767c80d38761e7ded1958781ce0faf2a0bbdaefe Mon Sep 17 00:00:00 2001 From: aaron <> Date: Mon, 8 Jun 2026 11:11:05 +0800 Subject: [PATCH] 1 --- backend/app/api/recommendations.py | 1 + backend/app/engine/recommender.py | 176 +++++++++++++++--- backend/astock.db | Bin 2797568 -> 2797568 bytes frontend/.next/app-build-manifest.json | 82 +++++--- frontend/.next/build-manifest.json | 8 +- frontend/.next/server/app-paths-manifest.json | 15 +- .../.next/server/middleware-build-manifest.js | 2 +- .../server/server-reference-manifest.json | 2 +- frontend/.next/trace | 69 +++---- frontend/src/app/(auth)/dashboard/page.tsx | 61 +++++- .../src/app/(auth)/recommendations/page.tsx | 53 +++++- frontend/src/lib/api.ts | 26 +++ 12 files changed, 382 insertions(+), 113 deletions(-) diff --git a/backend/app/api/recommendations.py b/backend/app/api/recommendations.py index e3b90fb8..d78453fa 100644 --- a/backend/app/api/recommendations.py +++ b/backend/app/api/recommendations.py @@ -86,6 +86,7 @@ async def get_latest(): "market_anomalies": anomalies, "scan_mode": result.get("scan_mode", "unknown"), "strategy_profile": result.get("strategy_profile"), + "latest_scan": result.get("latest_scan"), } diff --git a/backend/app/engine/recommender.py b/backend/app/engine/recommender.py index 1cf9d73d..6bb81420 100644 --- a/backend/app/engine/recommender.py +++ b/backend/app/engine/recommender.py @@ -85,6 +85,61 @@ def _build_legacy_decision_trace(row) -> dict: } +def _scan_meta_from_row(row) -> dict | None: + if not row: + return None + r = row._mapping if hasattr(row, "_mapping") else row + detail = _safe_json_dict(r.get("detail_json")) + return { + "scan_session": r.get("scan_session") or "", + "scan_mode": r.get("scan_mode") or "", + "status": r.get("status") or "ok", + "stage": r.get("stage") or "", + "input_count": int(r.get("input_count") or 0), + "output_count": int(r.get("output_count") or 0), + "filtered_count": int(r.get("filtered_count") or 0), + "summary": r.get("summary") or "", + "created_at": str(r.get("created_at") or ""), + "date": str(r.get("created_at") or "")[:10] if r.get("created_at") else "", + "detail": detail, + "action_counts": detail.get("action_counts") or {}, + "elimination_reasons": detail.get("elimination_reasons") or {}, + } + + +async def _load_latest_completed_scan(db) -> dict | None: + from sqlalchemy import text + + result = await db.execute( + text( + "SELECT * FROM scan_process_logs " + "WHERE stage = 'final_filter' " + "ORDER BY created_at DESC, id DESC LIMIT 1" + ) + ) + return _scan_meta_from_row(result.fetchone()) + + +async def _load_latest_strategy_profile_for_session(db, scan_session: str) -> dict | None: + if not scan_session: + return None + from sqlalchemy import text + + result = await db.execute( + text( + "SELECT detail_json FROM scan_process_logs " + "WHERE scan_session = :session AND stage = 'strategy_profile' " + "ORDER BY created_at DESC, id DESC LIMIT 1" + ), + {"session": scan_session}, + ) + row = result.fetchone() + if not row: + return None + profile = _safe_json_dict(row._mapping.get("detail_json")) + return profile or None + + async def refresh_recommendations(trade_date: str = None, scan_session: str = "manual") -> dict: """刷新推荐列表（带扫描锁防止并发）""" global _scan_running @@ -577,6 +632,25 @@ async def get_recommendation_history(days: int = 7) -> list[dict]: async with get_db() as db: from sqlalchemy import text + scan_result = await db.execute( + text( + "SELECT s.* FROM scan_process_logs s " + "INNER JOIN (" + " SELECT date(created_at) AS scan_date, MAX(id) AS max_id " + " FROM scan_process_logs " + " WHERE stage = 'final_filter' AND created_at >= :start " + " GROUP BY date(created_at)" + ") latest ON s.id = latest.max_id " + "ORDER BY s.created_at DESC, s.id DESC" + ), + {"start": start}, + ) + scan_groups = { + meta["date"]: meta + for meta in (_scan_meta_from_row(row) for row in scan_result.fetchall()) + if meta and meta.get("date") + } + # 查询所有历史推荐，按 ts_code 去重（每天取最新一条） stmt = text( "SELECT r.*, " @@ -614,8 +688,11 @@ async def get_recommendation_history(days: int = 7) -> list[dict]: result = await db.execute(stmt, {"start": start}) rows = result.fetchall() - # 按日期分组 - grouped: dict[str, list[dict]] = {} + # 按日期分组。先用扫描日志建组，保证“当天扫描但无推荐”也会被展示。 + grouped: dict[str, dict] = { + date_str: {"scan": scan_meta, "recommendations": []} + for date_str, scan_meta in scan_groups.items() + } for row in rows: r = row._mapping # SQLite created_at 是字符串 "YYYY-MM-DD HH:MM:SS" @@ -679,13 +756,15 @@ async def get_recommendation_history(days: int = 7) -> list[dict]: } if date_str not in grouped: - grouped[date_str] = [] - grouped[date_str].append(rec_dict) + grouped[date_str] = {"scan": None, "recommendations": []} + grouped[date_str]["recommendations"].append(rec_dict) # 转为列表，按日期降序 result_list = [] for date_str in sorted(grouped.keys(), reverse=True): - recs = grouped[date_str] + group = grouped[date_str] + recs = group["recommendations"] + scan_meta = group["scan"] buy_count = sum(1 for r in recs if r["signal"] == "BUY") avg_score = round(sum(r["score"] for r in recs) / len(recs), 1) if recs else 0 result_list.append({ @@ -694,6 +773,15 @@ async def get_recommendation_history(days: int = 7) -> list[dict]: "buy_count": buy_count, "avg_score": avg_score, "recommendations": recs, + "scan_session": scan_meta.get("scan_session") if scan_meta else "", + "scan_mode": scan_meta.get("scan_mode") if scan_meta else "", + "scan_status": scan_meta.get("status") if scan_meta else "", + "scanned_at": scan_meta.get("created_at") if scan_meta else "", + "scan_summary": scan_meta.get("summary") if scan_meta else "", + "scan_input_count": scan_meta.get("input_count") if scan_meta else 0, + "scan_output_count": scan_meta.get("output_count") if scan_meta else len(recs), + "scan_filtered_count": scan_meta.get("filtered_count") if scan_meta else 0, + "elimination_reasons": scan_meta.get("elimination_reasons") if scan_meta else {}, }) return result_list @@ -908,6 +996,10 @@ async def _load_today_from_db() -> dict: from sqlalchemy import text import json + latest_scan = await _load_latest_completed_scan(db) + latest_scan_date = (latest_scan or {}).get("date") or "" + latest_scan_session = (latest_scan or {}).get("scan_session") or "" + # 加载市场温度（按 trade_date 取最新交易日） result = await db.execute( text( @@ -931,22 +1023,47 @@ async def _load_today_from_db() -> dict: temperature=m["temperature"], ) - # 加载推荐（取最近一个有数据的日期，按 ts_code 去重，优先保留行动级别更高的结果） - result = await db.execute( - text("SELECT * FROM recommendations " - "WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) " - "AND (action_plan IN ('可操作', '重点关注') OR score >= 56) " - "AND (" - " COALESCE(recall_tags, '[]') LIKE '%hot_theme_core%' " - " OR COALESCE(recall_tags, '[]') LIKE '%theme_leader%' " - " OR COALESCE(recall_tags, '[]') LIKE '%top_theme_member%' " - " OR COALESCE(recall_tags, '[]') LIKE '%sector_recall%'" - ") " - "AND id IN (SELECT MAX(id) FROM recommendations " - " WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) " - " GROUP BY ts_code) " - "ORDER BY score DESC") - ) + if latest_scan: + recommendation_sql = ( + "SELECT * FROM recommendations " + "WHERE date(created_at) = :target_date " + "AND (:scan_session = '' OR scan_session = :scan_session) " + "AND (action_plan IN ('可操作', '重点关注') OR score >= 56) " + "AND (" + " COALESCE(recall_tags, '[]') LIKE '%hot_theme_core%' " + " OR COALESCE(recall_tags, '[]') LIKE '%theme_leader%' " + " OR COALESCE(recall_tags, '[]') LIKE '%top_theme_member%' " + " OR COALESCE(recall_tags, '[]') LIKE '%sector_recall%'" + ") " + "AND id IN (" + " SELECT MAX(id) FROM recommendations " + " WHERE date(created_at) = :target_date " + " AND (:scan_session = '' OR scan_session = :scan_session) " + " GROUP BY ts_code" + ") " + "ORDER BY score DESC" + ) + result = await db.execute( + text(recommendation_sql), + {"target_date": latest_scan_date, "scan_session": latest_scan_session}, + ) + else: + # 兼容旧库：没有扫描日志时，才回退到最近一个有推荐的日期。 + result = await db.execute( + text("SELECT * FROM recommendations " + "WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) " + "AND (action_plan IN ('可操作', '重点关注') OR score >= 56) " + "AND (" + " COALESCE(recall_tags, '[]') LIKE '%hot_theme_core%' " + " OR COALESCE(recall_tags, '[]') LIKE '%theme_leader%' " + " OR COALESCE(recall_tags, '[]') LIKE '%top_theme_member%' " + " OR COALESCE(recall_tags, '[]') LIKE '%sector_recall%'" + ") " + "AND id IN (SELECT MAX(id) FROM recommendations " + " WHERE date(created_at) = (SELECT date(created_at) FROM recommendations ORDER BY created_at DESC LIMIT 1) " + " GROUP BY ts_code) " + "ORDER BY score DESC") + ) rows = result.fetchall() recommendations = [] for row in rows: @@ -988,24 +1105,29 @@ async def _load_today_from_db() -> dict: focus_points=json.loads(r.get("focus_points") or "[]"), decision_trace=_safe_json_dict(r.get("decision_trace")) or _build_legacy_decision_trace(r), scan_session=r["scan_session"] or "", + created_at=r["created_at"], )) + strategy_profile = None + if latest_scan: + strategy_profile = await _load_latest_strategy_profile_for_session(db, latest_scan_session) + if not strategy_profile and recommendations: + strategy_profile = get_strategy_profile_by_id(recommendations[0].strategy).model_dump() + return { "market_temp": market_temp, "hot_sectors": [], "capital_filtered": [], "recommendations": recommendations, - "strategy_profile": ( - get_strategy_profile_by_id(recommendations[0].strategy).model_dump() - if recommendations - else None - ), + "strategy_profile": strategy_profile, + "latest_scan": latest_scan, + "scan_mode": (latest_scan or {}).get("scan_mode", "unknown"), } except Exception as e: logger.error(f"从数据库加载推荐失败: {e}") from app.db.error_logger import log_error await log_error("recommender", f"从数据库加载推荐失败: {e}", detail=traceback.format_exc()) - return {"market_temp": None, "hot_sectors": [], "capital_filtered": [], "recommendations": []} + return {"market_temp": None, "hot_sectors": [], "capital_filtered": [], "recommendations": [], "latest_scan": None} async def _load_sectors_from_db() -> list[SectorInfo]: diff --git a/backend/astock.db b/backend/astock.db index 8eaad2ca216936191a0e027853790ad97248ba8e..7ffd3270bbf2c9c52de93f8b16263dc251ad8547 100644 GIT binary patch delta 65555 zcmdSC31Aat`ahnT$=Rk&bGJ!KTcCvkEx8XsNV&WKIh8|>3Pq8#oFZyzE1*(JE7F%s zE)fNhL)0Py!k)S!%C76`x?bOR0nfINU%=13? z=Xu_hpYCT?;=cxK#yN?EeNG~gq)8-9&&KXP=G>8Kd-Bw*<~w{TY18~e^WD*`{8mk8 zjGLQ*uN*RZlx6-_qIq4@pc$nxWd1huaOQoP1DYKTOop;K*ud!J8~pvB9B@N!x+Irn z8HQ0PTu!^wYxmmy>bI0-H>b;jw|%e~f3^fi70sl7=;;zW{_oGXJNr1ieVo1xh5?s3 zndY^lir^WI6jO7Lp1sYVpC#3Ni6>yB^w~7uYQ8*bSn$4vKEJ#x4)10k{jN%zCF_AP zr;e%{ni=M=8-CX4Vp=x*t+BW9bqx6&|9ye~{)OKp#jsx-?f3ZW|5EBTyYLUmzleG# zQ$&A^TG`xx6Ej_*!MFbjVglPAha38k!#kL<%J%tJUM|&uX>!tf<9_X6%yS4T&)cM 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z*|tLaoIYHjrqkvUn7%g$S`|l1v}o$hF=tqqkL4*9EiQqcrIc%4NEb@f33RhW&7*sJ z6*u)2rFxjWx9lvO!e|&#hQORq!Nkckim1Y;IUA-cu6z+TxLRbhc$z^E8@p-{OECR# z>W2EJLJ45ypQtsMbjIYQhYMAicB(dQ0xycyLlSB>^e8;sSdCsCquvb{tFU0=6zcmK zZD%T0fl-MoGez6=x&RI*m@huCi*8t5v&q^WJD#e`Ocu18V)~*_AUVuP1WeKGNzfS~ z>1)*@8eU@pl(gTP9gj93Pp~Yk9;Ca2)-9IeQ6x}3`2J~>qKXxUwS~8%s8A?Jia5l! za8KdI3*xjw9D-dSgh{S%4cUc3fAy$(;Sno3Z83(1ONt5+ZO+hyBN(wb2I;fEq@;Xy zTajx`74eB#Ugsf}{|nL}Jln_OrEk8{(oFokD3o-M&lM;q>^z9~It1m_rvL=v5c*BS ztz%Le3jk>!+sqDu&3|Cc57hkPBF90&@!^r<_Q z78GY{yqcuxoDGvXcD>Fx( z?Re^cRX;R5^RZ9-MI; rec.action_plan === "可操作"); const watch = recommendations.filter((rec) => rec.action_plan === "重点关注"); const observe = recommendations.filter((rec) => !["可操作", "重点关注"].includes(rec.action_plan ?? "")); @@ -185,6 +186,7 @@ export default function DashboardPage() { ); const focusQueue = actionable.length ? actionable : watch.length ? watch : recommendations; + const scanTimeLabel = latestScan?.created_at ? formatScanTime(latestScan.created_at) : "暂无完成扫描"; if (loading) { return ( @@ -212,6 +214,9 @@ export default function DashboardPage() { 已收盘 )} + + 最近扫描 {scanTimeLabel} + @@ -246,6 +251,7 @@ export default function DashboardPage() { actionableCount={actionable.length} watchCount={watch.length} observeCount={observe.length} + latestScan={latestScan} /> @@ -255,6 +261,7 @@ export default function DashboardPage() { focusQueue={focusQueue.slice(0, 6)} actionableCount={actionable.length} watchCount={watch.length} + latestScan={latestScan} />
; @@ -297,6 +305,7 @@ function DecisionHero({ actionableCount: number; watchCount: number; observeCount: number; + latestScan: LatestResult["latest_scan"]; }) { const leadingSectors = sectors.slice(0, 3); @@ -349,14 +358,15 @@ function DecisionHero({
-
焦点标的
+
+
焦点标的
+
{latestScan?.created_at ? formatScanTime(latestScan.created_at) : "暂无扫描"}
+
{focusQueue.length ? ( focusQueue.map((rec) => ) ) : ( -
- 暂无焦点标的。 -
+ )}
@@ -371,11 +381,13 @@ function OpportunityBoard({ focusQueue, actionableCount, watchCount, + latestScan, }: { sectors: SectorData[]; focusQueue: RecommendationData[]; actionableCount: number; watchCount: number; + latestScan: LatestResult["latest_scan"]; }) { const leadingSectors = sectors.slice(0, 5); @@ -416,7 +428,9 @@ function OpportunityBoard({ {focusQueue.length ? focusQueue.map((rec) => ( )) : ( -
暂无重点标的
+
+ +
)} @@ -727,6 +741,32 @@ function LargeFocusStockCard({ rec }: { rec: RecommendationData }) { ); } +function EmptyScanResult({ latestScan, compact = false }: { latestScan: LatestResult["latest_scan"]; compact?: boolean }) { + const reasons = latestScan?.elimination_reasons ? Object.entries(latestScan.elimination_reasons).slice(0, 3) : []; + return ( +
+
+
本次扫描无入选标的
+ + {latestScan?.created_at ? formatScanTime(latestScan.created_at) : "未扫描"} + +
+
+ {latestScan?.summary || "最近一次扫描没有保留到作战池，不展示历史标的，避免误导。"} +
+ {reasons.length ? ( +
+ {reasons.map(([reason, count]) => ( + + {reason} {count} + + ))} +
+ ) : null} +
+ ); +} + function getExecutionMeta(rec: RecommendationData) { const hint = rec.decision_trace?.position_adjustment?.hint ?? rec.decision_trace?.context?.position_hint ?? "neutral"; const note = rec.decision_trace?.position_adjustment?.notes?.[0] ?? ""; @@ -757,6 +797,17 @@ function getExecutionMeta(rec: RecommendationData) { return { label: "", note: "", className: "", textClass: "" }; } +function formatScanTime(value: string) { + const normalized = value.includes("T") ? value : value.replace(" ", "T"); + const date = new Date(normalized); + if (Number.isNaN(date.getTime())) return value; + const today = new Date(); + const isToday = date.toDateString() === today.toDateString(); + const time = date.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit" }); + if (isToday) return `今日 ${time}`; + return date.toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" }); +} + function TinyInfo({ label, value }: { label: string; value: string | number }) { return (
diff --git a/frontend/src/app/(auth)/recommendations/page.tsx b/frontend/src/app/(auth)/recommendations/page.tsx index 70dd5919..faddc5d2 100644 --- a/frontend/src/app/(auth)/recommendations/page.tsx +++ b/frontend/src/app/(auth)/recommendations/page.tsx @@ -26,6 +26,18 @@ function formatDate(dateStr: string): string { return `${d.getMonth() + 1}月${d.getDate()}日 ${weekDays[d.getDay()]}`; } +function formatScanTime(value?: string): string { + if (!value) return "暂无扫描"; + const normalized = value.includes("T") ? value : value.replace(" ", "T"); + const d = new Date(normalized); + if (Number.isNaN(d.getTime())) return value; + const today = new Date(); + const isToday = d.toDateString() === today.toDateString(); + const time = d.toLocaleTimeString("zh-CN", { hour: "2-digit", minute: "2-digit" }); + if (isToday) return `今日 ${time}`; + return d.toLocaleString("zh-CN", { month: "2-digit", day: "2-digit", hour: "2-digit", minute: "2-digit" }); +} + type RecommendationWithDate = RecommendationData & { groupDate: string }; type FocusTab = "actionable" | "watch" | "observe" | "tracking" | "closed"; @@ -149,6 +161,7 @@ export default function RecommendationsPage() { const todayCount = applyHistoryFilter(dayGroups[0]?.recommendations ?? []).length; const totalCount = dayGroups.reduce((sum, group) => sum + applyHistoryFilter(group.recommendations).length, 0); + const latestScanLabel = latest?.latest_scan?.created_at || dayGroups[0]?.scanned_at; const focusSummary = buildFocusSummary({ strategyProfile: latest?.strategy_profile ?? null, actionable, @@ -209,6 +222,8 @@ export default function RecommendationsPage() {
+ +
@@ -312,10 +327,10 @@ export default function RecommendationsPage() {
{dayGroups.map((group, index) => { const filtered = applyHistoryFilter(group.recommendations); - if (historyFilter !== "all" && filtered.length === 0) return null; const isExpanded = expandedDays.has(group.date); const isToday = index === 0; + const reasons = group.elimination_reasons ? Object.entries(group.elimination_reasons).slice(0, 3) : []; return (
@@ -331,17 +346,43 @@ export default function RecommendationsPage() { {group.date}
- {filtered.length} 只推荐 + 扫描 {formatScanTime(group.scanned_at)} · {filtered.length} 只入选 + {group.scan_input_count ? ` / 候选 ${group.scan_input_count}` : ""}
+ {group.scan_summary ? ( +
{group.scan_summary}
+ ) : null}
{isExpanded ? "收起" : "展开"} {isExpanded ? ( -
- {filtered.map((rec) => ( - - ))} +
+ {filtered.length ? ( +
+ {filtered.map((rec) => ( + + ))} +
+ ) : ( +
+
+ {historyFilter === "all" ? "本日扫描无入选标的" : "本日扫描存在，但当前筛选条件下无标的"} +
+
+ {group.scan_summary || "系统已完成扫描，但没有标的进入历史推荐池。"} +
+ {reasons.length ? ( +
+ {reasons.map(([reason, count]) => ( + + {reason} {count} + + ))} +
+ ) : null} +
+ )}
) : null}
diff --git a/frontend/src/lib/api.ts b/frontend/src/lib/api.ts index a7533a98..4cd6f845 100644 --- a/frontend/src/lib/api.ts +++ b/frontend/src/lib/api.ts @@ -365,6 +365,23 @@ export interface LatestResult { feedback_notes?: string[]; generated_by?: string; } | null; + latest_scan?: ScanMeta | null; + scan_mode?: string; +} + +export interface ScanMeta { + scan_session: string; + scan_mode: string; + status: string; + stage: string; + input_count: number; + output_count: number; + filtered_count: number; + summary: string; + created_at: string; + date: string; + action_counts?: Record; + elimination_reasons?: Record; } export interface DayGroup { @@ -373,6 +390,15 @@ export interface DayGroup { buy_count: number; avg_score: number; recommendations: RecommendationData[]; + scan_session?: string; + scan_mode?: string; + scan_status?: string; + scanned_at?: string; + scan_summary?: string; + scan_input_count?: number; + scan_output_count?: number; + scan_filtered_count?: number; + elimination_reasons?: Record; } // ---------- Performance Stats ----------