-- astock-kg 候选卡插槽视图：三张只读视图，供 akg-factor-bridge 的候选卡与复盘消费。
-- 应用【桥机 155 · ~/project/akg-factor-bridge】：
--   docker compose exec -T akg-factor-bridge python run.py apply-views --file sql/astock_kg_card_views.sql --dry-run
--   docker compose exec -T -e AKG_PG_USER=<owner> -e AKG_PG_PASSWORD=<pw> \
--     akg-factor-bridge python run.py apply-views --file sql/astock_kg_card_views.sql
--
-- 与 sql/astock_kg_slot_views.sql 分开放：那份文件用 DROP + CREATE 且含 ALTER TABLE，
-- 整文件重跑会把生产在用的四张视图重删重建；本文件只用 CREATE OR REPLACE，反复应用无害。
-- 基座零代码：只读现有表 transmission_candidates、segment_members_projection、
-- segment_member_review、mkt_daily。应用时避开 06:10 的投影重建窗口。
-- 出处：docs/主观选股改进方案_2026-09-02.md 第 2.2 节第二项。


-- 一、已动成员视图 v_factor_transmission_moved
-- 被传导指向的环节（只认 Segment 目标；Concept 与 Company 目标的成员不在投影表里）的
-- 投影成员，减去传导台账里的未动名单 quiet，再减去复核账本判定"不属于本环节"的成员
-- （verdict = 'exclude'，与基座 transmission.scan 在算已动之前的剔除口径一致）。
-- 连接键用投影表的原名 COALESCE(orig_segment_name, segment_name)：投影期有改派重排，
-- 传导扫描用的目标名是图上原名。
-- 本视图只做集合差，不重算涨幅；"已动"的口径与基座 hotspot._movers_set 同源
-- （数据日涨幅达到 3%），涨幅本身从 v_factor_stock_daily 取。
-- 对账：按 (scan_date, target) 数本视图行数 + quiet 行数，与 transmission_candidates 的
-- members_total 比；不等的环节多半是基座扫描时成员集有上限（cap=200）而投影表没有，
-- 差异分"截断"与"真差异"两类，只对后者要求为零。
CREATE OR REPLACE VIEW v_factor_transmission_moved AS
WITH tc AS (
    SELECT t.scan_date, t.rank, t.target, t.mkt_trade_date, t.chain_fit,
           t.members_total, t.moved, t.moved_ratio,
           (SELECT count(DISTINCT p->>'source')
              FROM jsonb_array_elements(COALESCE(t.paths, '[]'::jsonb)) p) AS n_sources,
           t.quiet
    FROM transmission_candidates t
    WHERE t.target_type = 'Segment'
),
quiet AS (
    SELECT c.scan_date, c.target, q->>'ts_code' AS ts_code
    FROM tc c
    CROSS JOIN LATERAL jsonb_array_elements(COALESCE(c.quiet, '[]'::jsonb)) q
    WHERE q->>'ts_code' IS NOT NULL AND q->>'ts_code' <> ''
),
members AS (
    SELECT DISTINCT COALESCE(orig_segment_name, segment_name) AS seg,
           ts_code, member_name, segment_name AS projected_segment
    FROM segment_members_projection
    WHERE ts_code IS NOT NULL AND ts_code <> ''
)
SELECT c.scan_date, c.target, c.rank, c.n_sources, c.chain_fit,
       c.members_total, c.moved, c.moved_ratio, c.mkt_trade_date,
       m.ts_code, m.member_name, m.projected_segment
FROM tc c
JOIN members m ON m.seg = c.target
LEFT JOIN quiet q
  ON q.scan_date = c.scan_date AND q.target = c.target AND q.ts_code = m.ts_code
WHERE q.ts_code IS NULL
  AND NOT EXISTS (
      SELECT 1 FROM segment_member_review r
      WHERE r.ts_code = m.ts_code AND r.segment_name = c.target AND r.verdict = 'exclude');


-- 二、个股日行情视图 v_factor_stock_daily
-- 候选卡"已启动"门槛（pct_change）与两条展示线（net_z 主力净额对自身二十日基线的
-- 标准化偏离、heat_chg 热度较往前第五个交易日的变化）的数据来源，只留行情列。
-- 吸筹不从这里取：基座落库的吸筹状态没有评分日，候选卡的吸筹三项只认决策系统结论表。
CREATE OR REPLACE VIEW v_factor_stock_daily AS
SELECT trade_date,
       code                               AS ts_code,
       (metrics->>'pct_change')::numeric  AS pct_change,
       (metrics->>'net_z')::numeric       AS net_z,
       (metrics->>'heat_chg')::numeric    AS heat_chg,
       (metrics->>'heat')::numeric        AS heat,
       (metrics->>'net_amount')::numeric  AS net_amount
FROM mkt_daily
WHERE kind = 'stock';


-- 三、环节日行情视图 v_factor_segment_daily
-- 按投影表把个股日行情聚成环节行，只给原始值与成员明细集合；"主力净额前两名"、
-- "涨停近似（涨幅超 9.8%）"这类派生判断在桥的 card.py 算，不写进基座视图。
-- 投影表是当前态（每晨 06:10 删后插），历史日的成员集合带成员前视，复盘按冻结快照重建。
CREATE OR REPLACE VIEW v_factor_segment_daily AS
WITH members AS (
    SELECT DISTINCT COALESCE(orig_segment_name, segment_name) AS seg, ts_code, member_name
    FROM segment_members_projection
    WHERE ts_code IS NOT NULL AND ts_code <> ''
)
SELECT s.trade_date,
       p.seg                                   AS segment_name,
       count(*)                                AS members,
       count(*) FILTER (WHERE s.pct_change >= 3) AS moved,
       percentile_cont(0.5) WITHIN GROUP (ORDER BY s.pct_change) AS pct_median,
       percentile_cont(0.5) WITHIN GROUP (ORDER BY s.heat_chg)   AS heat_chg_median,
       jsonb_agg(jsonb_build_object('ts_code', p.ts_code, 'name', p.member_name,
                                    'pct', s.pct_change, 'net_amount', s.net_amount)
                 ORDER BY s.pct_change DESC NULLS LAST)          AS members_detail
FROM members p
JOIN (
    SELECT trade_date, code AS ts_code,
           (metrics->>'pct_change')::numeric AS pct_change,
           (metrics->>'heat_chg')::numeric   AS heat_chg,
           (metrics->>'net_amount')::numeric AS net_amount
    FROM mkt_daily WHERE kind = 'stock'
) s ON s.ts_code = p.ts_code
GROUP BY s.trade_date, p.seg;