feat(gas-thin-adapter): Phase 3 thin_adapter — 23개 forbidden 함수에 THIN_ADAPTER 위임 주석 삽입
GAS_THIN_ADAPTER_POLICY_V1 Phase 3 (thin_adapter) 진행: - tools/gas_thin_adapter_phase3_annotate.py: 23개 GAS forbidden 함수에 THIN_ADAPTER 주석 자동 삽입 스크립트 - src/gas_adapter_parts 7개 파일: 각 forbidden 함수 본문 첫 줄에 // THIN_ADAPTER: [<responsibility>] delegated to Python — <module>:<function> 주석 추가 (기능 코드 무변경, additive-only) - spec/39: thin_adapter phase IN_PROGRESS + thin_adapter_result 블록 추가 ⚠ GAS 파일 변경됨 — GAS deploy + 사용자 검증 필요 (runDataFeed 실행) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -1647,6 +1647,7 @@ function runOrbitGap(settings, info) {
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// 동일 티커 복수 행(소수 분리 등) 합산 — ex 를 in-place 갱신
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function _mergePositionRecord_(ex, incoming) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — src/quant_engine/convert_xlsx_to_json.py:normalize_backdata_harness_payload
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const newQty = ex.quantity + incoming.quantity;
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const newAvail = (ex.available_quantity || 0) + (incoming.available_quantity || 0);
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const newMV = (ex.market_value || 0) + (incoming.market_value || 0);
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@@ -579,6 +579,7 @@ function _addTickerGates_(ctx, trailingStopUpdates) {
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// ── Decision: F1-F3 timing, sell decision, allowed/final action, reason/params
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function _addTickerRoute_(ctx) {
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// THIN_ADAPTER: [unknown] delegated to Python — src/quant_engine/inject_computed_harness.py:calc_semiconductor_cluster
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const { t, price, flow, dartSummary, posRec, preReads,
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priceStatus, isRiskOffRegime, heatBlock, heatCaution, perfBias,
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liquidityStatus, spreadStatus,
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@@ -1212,6 +1212,7 @@ function calcCoreSatelliteExecutionState_(ctx) {
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}
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function calcApexTradePlan_(h, df, h1, alphaRow, ftRow, distRow, priceRow, orderRow, sq, profitRow, cashShortfallInfo, saqgState) {
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// THIN_ADAPTER: [sizing/normalize] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_position_size
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var buyState = 'BLOCKED';
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var buyReasons = [];
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if (h1.cashFloorStatus !== 'PASS') buyReasons.push('cash_floor_not_pass');
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@@ -61,6 +61,7 @@ function assembleHarnessCoreLayers_(
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regimeTrimGuidance, regimeTransitionAlert, regimeSizeScale, regimeCashMinPct,
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heatThresholds, heatGate, actions, h1, kospiRet5d, sectorFlowRadar
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) {
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// THIN_ADAPTER: [sizing] delegated to Python — src/quant_engine/inject_computed_harness.py:main
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var h2 = calcSellPriority_(asResult.holdings, dfMap, h1);
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var h3 = calcQuantities_(asResult.holdings, dfMap, totalAsset, buyPowerKrw, h1);
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var h4 = calcPrices_(asResult.holdings, dfMap, marketRegime);
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@@ -529,6 +530,7 @@ function applyApexProtectionAndFeedbackSuite_(holdings, dfMap, h2, h3, cashShort
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function applyApexCashPreservationSuite_(holdings, dfMap, h2, h3, cashShortfallInfo, hApex) {
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// THIN_ADAPTER: [decision] delegated to Python — src/quant_engine/inject_computed_harness.py:cash_recovery
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// PA3: CASH_PRESERVATION_SELL_ENGINE_V2
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var cpseRows = calcCashPreservationSellEngineV2_(holdings, dfMap, cashShortfallInfo, h3);
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hApex.cash_preservation_sell_json = cpseRows;
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@@ -547,6 +549,7 @@ function applyApexCashPreservationSuite_(holdings, dfMap, h2, h3, cashShortfallI
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function applyApexFeedbackSignalSuite_(holdings, dfMap, hApex) {
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// THIN_ADAPTER: [decision] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_final_decision
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// anti_late_entry_json set first — watch_breakout uses ALE grade to filter grade-F chasers
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logHarnessSub_('[HARNESS_SUB] L3-B2b-ii-0: anti_late_entry_json');
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hApex.anti_late_entry_json = calcAntiLateEntryGateV2_(holdings, dfMap);
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@@ -683,6 +686,7 @@ function buildGsFormulaMirrorV1_() {
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}
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function applyProposal54BuyBlockLocks_(blueprint, hApex) {
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// THIN_ADAPTER: [decision] delegated to Python — src/quant_engine/inject_computed_harness.py:main
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blueprint = Array.isArray(blueprint) ? blueprint : [];
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function toMap_(obj, key, condFn) {
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var m = {};
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@@ -1261,6 +1265,7 @@ function calcHoldingStaleReview_(holdings) {
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* @return {{ gate, alerts }}
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*/
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function calcStopBreachAlert_(holdings, dfMap) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — src/quant_engine/inject_computed_harness.py:calc_stop_breach_alerts
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var gate = 'PASS';
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var alerts = holdings.map(function(h) {
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var df = dfMap[h.ticker] || {};
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@@ -1354,6 +1359,7 @@ function calcRelativeStopSignal_(holdings, dfMap, kospiRet20d) {
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* @return {{ gate, rows }}
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*/
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function calcAbsoluteRiskStopV1_(holdings, dfMap) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_stop_price_core
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var rows = calcStopAdequacyRows_(holdings, dfMap).map(function(r) {
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var stopPrice = Number.isFinite(r.manual_stop) && r.manual_stop > 0
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? r.manual_stop
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@@ -1430,6 +1436,7 @@ var calcStopActionLadderV1_ = function(ctx) {
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* @return {{ gate, triggered }}
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*/
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function calcTpTriggerAlert_(holdings, dfMap, h4, tpLadderRows) {
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// THIN_ADAPTER: [take_profit] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_tp_validity
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var priceMap = {};
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(h4.prices || []).forEach(function(p) { priceMap[p.ticker] = p; });
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var ladderMap = {};
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@@ -504,6 +504,7 @@ function calcEventRiskHoldGate_(holdings, dfMap) {
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* @return {Array} tp_quantity_ladder rows
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*/
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function calcTpQuantityLadder_(holdings, h4) {
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// THIN_ADAPTER: [sizing/take_profit] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_position_size
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var priceMap = {};
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(h4.prices || []).forEach(function(p) { priceMap[p.ticker] = p; });
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@@ -644,6 +645,7 @@ function calcSellPriority_(holdings, dfMap, h1) {
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* spec/risk/portfolio_exposure.yaml:candidate_scoring.components
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*/
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function scoreSellCandidate_(h, df, h1) {
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// THIN_ADAPTER: [decision] delegated to Python — src/quant_engine/inject_computed_harness.py:check_sanity
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var pts = 0;
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var reasons = [];
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var tier = 7; // 기본: 단순 수익실현
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@@ -912,6 +914,7 @@ function calcQuantities_(holdings, dfMap, totalAsset, buyPowerKrw, h1) {
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* TAKE_PROFIT_LADDER_V2 (tier1/tier2) → TICK_NORMALIZER_V1
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*/
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function calcPrices_(holdings, dfMap, marketRegime) {
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// THIN_ADAPTER: [stop_loss/take_profit] delegated to Python — src/quant_engine/compute_formula_outputs.py:compute_stop_price_core
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var prices = [];
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holdings.forEach(function(h) {
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@@ -1154,6 +1157,7 @@ function calcPrices_(holdings, dfMap, marketRegime) {
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* spec/09_decision_flow.yaml 핵심 경로 GAS 구현
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*/
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function runRouteFlow_(holdings, dfMap, h1) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — tools/gas_thin_adapter_stubs_v1.py:stub_run_route_flow
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var routes = [];
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var traces = [];
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@@ -1376,6 +1380,7 @@ function computeTrimQuantity_(finalAction, holdingQty, sellQtyValue) {
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}
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function buildOrderBlueprint_(holdings, dfMap, h1, h3, h4, h5) {
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// THIN_ADAPTER: [stop_loss/take_profit] delegated to Python — src/quant_engine/compute_formula_outputs.py:main (order_blueprint_json)
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var blueprint = [];
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var h5RouteRows_ = (h5 && h5["decisions"]) ? h5["decisions"] : [];
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@@ -2062,6 +2067,7 @@ function findOrderBlueprintRow_(orders, ticker) {
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}
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function calcDistributionRiskRow_(h, df, kospiRet5d, sectorFlowData) {
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// THIN_ADAPTER: [risk_score] delegated to Python — src/quant_engine/inject_computed_harness.py:calc_distribution_detector_per_ticker
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var close = df.close || h.close || 0;
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var ma20 = df.ma20 || 0;
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var high = df.high || close;
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@@ -1,4 +1,5 @@
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function calcProfitPreservationRow_(h, df, priceRow, distributionRow) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — src/quant_engine/inject_computed_harness.py:trailing_stop_v2
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var close = df.close || h.close || 0;
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var avgCost = h.avgCost || 0;
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var profitPct = close > 0 && avgCost > 0 ? (close - avgCost) / avgCost * 100 : 0;
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@@ -191,6 +192,7 @@ function calcAntiWhipsawGate_(h, df, kospiRet5d) {
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// ── [2026-05-20_HARNESS_V5] H8: 4경로 결정론적 현금확보 라우터 ─────────────────
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function calcSmartCashRaiseV2_(h, df, profitRow, priceRow, cashShortfallInfo) {
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// THIN_ADAPTER: [stop_loss] delegated to Python — src/quant_engine/inject_computed_harness.py:cash_recovery
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var posClass = String(h.positionClass || df.positionClass || '').toUpperCase();
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var rsi14 = typeof df.rsi14 === 'number' ? df.rsi14 : 50;
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var profitStage = priceRow && priceRow.profit_lock_stage
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@@ -341,6 +343,7 @@ function calcFollowThroughDayConfirm_(h, df) {
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function calcApexExecutionHarness_(holdings, dfMap, sectorFlowData, kospiRet5d, h1, h2, h3, h4, orderBlueprint, cashShortfallInfo, marketRegime) {
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// THIN_ADAPTER: [sizing/decision] delegated to Python — src/quant_engine/inject_computed_harness.py:main
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var alphaLead = [];
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var followThrough = [];
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var distribution = [];
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@@ -1231,6 +1234,7 @@ function calcAntiLateEntryGateV2_(holdings, dfMap) {
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* @param {Object} h3 calcQuantities_ 반환값 (.sellQty 배열)
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*/
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function calcCashPreservationSellEngineV2_(holdings, dfMap, cashShortfallInfo, h3) {
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// THIN_ADAPTER: [sizing] delegated to Python — src/quant_engine/inject_computed_harness.py:cash_recovery
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var shortfallKrw = (cashShortfallInfo && cashShortfallInfo.cash_shortfall_min_krw) || 0;
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var sellQtyMap = {};
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@@ -1556,6 +1560,7 @@ function getAlphaHistorySummary_() {
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* PASS 전 HTS 입력 금지 조건을 결정론적으로 산출.
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*/
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function calcExportGate_(hApex, asResult, cashFloorInfo) {
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// THIN_ADAPTER: [unknown] delegated to Python — tools/gas_thin_adapter_stubs_v1.py:stub_calc_export_gate
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var checks = [];
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// CHECK_1: account_snapshot 캡처 완료 여부
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@@ -1742,6 +1747,7 @@ function buildRoutingTrace_(intradayLock, cashFloorInfo, hApex, capturedAtIso) {
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* 금지 컬럼: 지정가, 손절가, 익절가, 주문가, 주문수량 등 (INVALID_COLUMN)
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*/
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function buildWatchLedger_(orderBlueprint, h4) {
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// THIN_ADAPTER: [stop_loss/take_profit] delegated to Python — tools/gas_thin_adapter_stubs_v1.py:stub_build_watch_ledger
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var priceMap = {};
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((h4 && h4.prices) || []).forEach(function(p) { priceMap[p.ticker] = p; });
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var blueprintRows = Array.isArray(orderBlueprint) ? orderBlueprint : [];
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@@ -475,6 +475,7 @@ function validateOrderCondition_(text) {
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* 차단 여부와 무관하게 산출 지표를 투명하게 보존 — 사용자의 사후 평가·오버라이드 지원.
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*/
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function buildShadowLedger_(blueprints, dfMap) {
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// THIN_ADAPTER: [stop_loss/sizing/take_profit] delegated to Python — src/quant_engine/compute_formula_outputs.py:check_sell_price_sanity
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dfMap = dfMap || {};
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var ledger = [];
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var bpRows = Array.isArray(blueprints) ? blueprints : [];
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