ARCH: восстановить годовое покрытие MCP discovery помесячными пробами
This commit is contained in:
+223
-37
@@ -168,6 +168,149 @@ function queryResultToProbeResult(primitiveId, result) {
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limitation: result.error
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};
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}
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function toCoverageAwareQueryResult(result, options = {}) {
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if (!result) {
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return null;
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}
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return {
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...result,
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coverage_limited_by_probe_limit: options.coverageLimitedByProbeLimit ?? false,
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coverage_recovered_by_period_chunking: options.coverageRecoveredByPeriodChunking ?? false,
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period_chunking_granularity: options.periodChunkingGranularity ?? null,
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period_chunk_count: options.periodChunkCount ?? 0
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};
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}
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function monthWindowsForYear(year) {
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const result = [];
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for (let month = 0; month < 12; month += 1) {
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const start = new Date(Date.UTC(Number(year), month, 1));
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const end = new Date(Date.UTC(Number(year), month + 1, 0));
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result.push({
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period_from: `${start.getUTCFullYear()}-${String(start.getUTCMonth() + 1).padStart(2, "0")}-${String(start.getUTCDate()).padStart(2, "0")}`,
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period_to: `${end.getUTCFullYear()}-${String(end.getUTCMonth() + 1).padStart(2, "0")}-${String(end.getUTCDate()).padStart(2, "0")}`
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});
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}
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return result;
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}
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function periodWindowsForDateScope(dateScope) {
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const yearMatch = dateScope?.match(/^(\d{4})$/);
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if (yearMatch) {
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return monthWindowsForYear(yearMatch[1]);
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}
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return [];
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}
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function mergeCoverageAwareQueryResults(results, options) {
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const rawRows = results.flatMap((item) => item.raw_rows);
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const rows = results.flatMap((item) => item.rows);
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const errors = results.map((item) => toNonEmptyString(item.error)).filter((item) => Boolean(item));
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return {
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fetched_rows: results.reduce((sum, item) => sum + item.fetched_rows, 0),
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matched_rows: results.reduce((sum, item) => sum + item.matched_rows, 0),
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raw_rows: rawRows,
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rows,
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error: errors[0] ?? null,
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coverage_limited_by_probe_limit: options.coverageLimitedByProbeLimit,
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coverage_recovered_by_period_chunking: options.coverageRecoveredByPeriodChunking,
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period_chunking_granularity: options.periodChunkingGranularity,
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period_chunk_count: options.periodChunkCount
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};
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}
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async function executeCoverageAwareValueFlowQuery(input) {
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const queryLimitations = [];
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const probeResults = [];
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let executedProbeCount = 0;
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const broadRecipePlan = input.recipePlanBuilder(input.baseFilters);
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const broadResult = await input.deps.executeAddressMcpQuery({
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query: broadRecipePlan.query,
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limit: broadRecipePlan.limit,
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account_scope: broadRecipePlan.account_scope
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});
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executedProbeCount += 1;
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probeResults.push(queryResultToProbeResult(input.primitiveId, broadResult));
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const broadCoverageLimited = !broadResult.error && broadResult.matched_rows >= input.maxRowsPerProbe;
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if (broadResult.error) {
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pushUnique(queryLimitations, broadResult.error);
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return {
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result: toCoverageAwareQueryResult(broadResult, {
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coverageLimitedByProbeLimit: false
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}),
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probe_results: probeResults,
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query_limitations: queryLimitations,
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executed_probe_count: executedProbeCount
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};
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}
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const periodWindows = periodWindowsForDateScope(input.dateScope);
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if (!broadCoverageLimited || periodWindows.length === 0) {
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return {
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result: toCoverageAwareQueryResult(broadResult, {
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coverageLimitedByProbeLimit: broadCoverageLimited
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}),
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probe_results: probeResults,
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query_limitations: queryLimitations,
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executed_probe_count: executedProbeCount
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};
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}
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const requiredChunkProbeCount = periodWindows.length;
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if (executedProbeCount + requiredChunkProbeCount > input.maxProbeCount) {
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pushUnique(queryLimitations, "Requested period hit the MCP row limit, but the approved monthly recovery probe budget is smaller than the required subperiod count");
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return {
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result: toCoverageAwareQueryResult(broadResult, {
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coverageLimitedByProbeLimit: true
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}),
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probe_results: probeResults,
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query_limitations: queryLimitations,
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executed_probe_count: executedProbeCount
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};
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}
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const chunkResults = [];
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let anyChunkLimited = false;
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let anyChunkError = false;
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for (const window of periodWindows) {
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const chunkFilters = {
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...input.baseFilters,
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period_from: window.period_from,
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period_to: window.period_to
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};
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const chunkPlan = input.recipePlanBuilder(chunkFilters);
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const chunkResult = await input.deps.executeAddressMcpQuery({
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query: chunkPlan.query,
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limit: chunkPlan.limit,
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account_scope: chunkPlan.account_scope
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});
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executedProbeCount += 1;
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probeResults.push(queryResultToProbeResult(input.primitiveId, chunkResult));
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if (chunkResult.error) {
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anyChunkError = true;
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pushUnique(queryLimitations, chunkResult.error);
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continue;
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}
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if (chunkResult.matched_rows >= input.maxRowsPerProbe) {
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anyChunkLimited = true;
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}
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chunkResults.push(chunkResult);
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}
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if (chunkResults.length === 0 && anyChunkError) {
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return {
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result: toCoverageAwareQueryResult(broadResult, {
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coverageLimitedByProbeLimit: true
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}),
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probe_results: probeResults,
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query_limitations: queryLimitations,
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executed_probe_count: executedProbeCount
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};
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}
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return {
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result: mergeCoverageAwareQueryResults(chunkResults, {
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coverageLimitedByProbeLimit: anyChunkLimited || anyChunkError,
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coverageRecoveredByPeriodChunking: true,
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periodChunkingGranularity: "month",
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periodChunkCount: periodWindows.length
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}),
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probe_results: probeResults,
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query_limitations: queryLimitations,
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executed_probe_count: executedProbeCount
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};
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}
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function summarizeLifecycleRows(result) {
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if (result.error) {
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return null;
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@@ -184,6 +327,9 @@ function summarizeValueFlowRows(result) {
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if (result.fetched_rows <= 0) {
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return "0 MCP value-flow rows fetched";
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}
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if (result.coverage_recovered_by_period_chunking && result.period_chunking_granularity === "month") {
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return `${result.period_chunk_count} monthly MCP value-flow probes fetched ${result.fetched_rows} rows total, ${result.matched_rows} matched value-flow scope after the broad probe hit the row limit`;
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}
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return `${result.fetched_rows} MCP value-flow rows fetched, ${result.matched_rows} matched value-flow scope`;
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}
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function rowDateValue(row) {
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@@ -370,7 +516,7 @@ function deriveBidirectionalValueFlowMonthBreakdown(input) {
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};
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});
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}
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function deriveValueFlow(result, counterparty, periodScope, direction, probeLimit, aggregationAxis) {
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function deriveValueFlow(result, counterparty, periodScope, direction, aggregationAxis) {
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if (!result || result.error || result.matched_rows <= 0) {
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return null;
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}
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@@ -401,12 +547,14 @@ function deriveValueFlow(result, counterparty, periodScope, direction, probeLimi
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total_amount_human_ru: formatAmountHumanRu(totalAmount),
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first_movement_date: dates[0] ?? null,
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latest_movement_date: dates[dates.length - 1] ?? null,
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coverage_limited_by_probe_limit: result.matched_rows >= probeLimit,
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coverage_limited_by_probe_limit: result.coverage_limited_by_probe_limit,
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coverage_recovered_by_period_chunking: result.coverage_recovered_by_period_chunking,
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period_chunking_granularity: result.period_chunking_granularity,
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monthly_breakdown: deriveValueFlowMonthBreakdown(result, aggregationAxis),
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inference_basis: "sum_of_confirmed_1c_value_flow_rows"
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};
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}
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function deriveValueFlowSideSummary(result, probeLimit) {
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function deriveValueFlowSideSummary(result) {
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if (!result || result.error || result.matched_rows <= 0) {
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return {
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rows_matched: 0,
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@@ -415,7 +563,9 @@ function deriveValueFlowSideSummary(result, probeLimit) {
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total_amount_human_ru: formatAmountHumanRu(0),
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first_movement_date: null,
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latest_movement_date: null,
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coverage_limited_by_probe_limit: false
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coverage_limited_by_probe_limit: false,
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coverage_recovered_by_period_chunking: false,
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period_chunking_granularity: null
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};
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}
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let totalAmount = 0;
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@@ -438,12 +588,14 @@ function deriveValueFlowSideSummary(result, probeLimit) {
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total_amount_human_ru: formatAmountHumanRu(totalAmount),
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first_movement_date: dates[0] ?? null,
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latest_movement_date: dates[dates.length - 1] ?? null,
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coverage_limited_by_probe_limit: result.matched_rows >= probeLimit
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coverage_limited_by_probe_limit: result.coverage_limited_by_probe_limit,
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coverage_recovered_by_period_chunking: result.coverage_recovered_by_period_chunking,
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period_chunking_granularity: result.period_chunking_granularity
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};
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}
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function deriveBidirectionalValueFlow(input) {
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const incoming = deriveValueFlowSideSummary(input.incomingResult, input.probeLimit);
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const outgoing = deriveValueFlowSideSummary(input.outgoingResult, input.probeLimit);
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const incoming = deriveValueFlowSideSummary(input.incomingResult);
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const outgoing = deriveValueFlowSideSummary(input.outgoingResult);
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if (incoming.rows_with_amount <= 0 && outgoing.rows_with_amount <= 0) {
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return null;
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}
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@@ -458,6 +610,8 @@ function deriveBidirectionalValueFlow(input) {
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net_amount_human_ru: formatAmountHumanRu(Math.abs(netAmount)),
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net_direction: netDirectionFromAmount(netAmount),
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coverage_limited_by_probe_limit: incoming.coverage_limited_by_probe_limit || outgoing.coverage_limited_by_probe_limit,
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coverage_recovered_by_period_chunking: incoming.coverage_recovered_by_period_chunking || outgoing.coverage_recovered_by_period_chunking,
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period_chunking_granularity: incoming.period_chunking_granularity ?? outgoing.period_chunking_granularity ?? null,
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monthly_breakdown: deriveBidirectionalValueFlowMonthBreakdown({
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incomingResult: input.incomingResult,
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outgoingResult: input.outgoingResult,
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@@ -474,10 +628,14 @@ function summarizeBidirectionalValueFlowRows(input) {
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}
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const incomingSummary = incoming?.error
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? "incoming value-flow query failed"
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: `${incoming?.fetched_rows ?? 0} incoming value-flow rows fetched, ${incoming?.matched_rows ?? 0} matched`;
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: incoming?.coverage_recovered_by_period_chunking && incoming.period_chunking_granularity === "month"
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? `${incoming.period_chunk_count} monthly incoming value-flow probes fetched ${incoming.fetched_rows} rows total, ${incoming.matched_rows} matched`
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: `${incoming?.fetched_rows ?? 0} incoming value-flow rows fetched, ${incoming?.matched_rows ?? 0} matched`;
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const outgoingSummary = outgoing?.error
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? "outgoing supplier-payout query failed"
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: `${outgoing?.fetched_rows ?? 0} outgoing supplier-payout rows fetched, ${outgoing?.matched_rows ?? 0} matched`;
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: outgoing?.coverage_recovered_by_period_chunking && outgoing.period_chunking_granularity === "month"
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? `${outgoing.period_chunk_count} monthly outgoing supplier-payout probes fetched ${outgoing.fetched_rows} rows total, ${outgoing.matched_rows} matched`
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: `${outgoing?.fetched_rows ?? 0} outgoing supplier-payout rows fetched, ${outgoing?.matched_rows ?? 0} matched`;
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return `${incomingSummary}; ${outgoingSummary}`;
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}
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function buildLifecycleConfirmedFacts(result, counterparty) {
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@@ -539,6 +697,9 @@ function buildValueFlowInferredFacts(derived) {
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else {
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facts.push("Counterparty value-flow total was calculated from confirmed 1C movement rows");
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}
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if (derived.coverage_recovered_by_period_chunking && derived.period_chunking_granularity === "month") {
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facts.push("Requested period coverage was recovered through monthly 1C value-flow probes after the broad probe hit the row limit");
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}
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if (derived.aggregation_axis === "month" && derived.monthly_breakdown.length > 0) {
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facts.push("Counterparty monthly value-flow breakdown was grouped by month over confirmed 1C movement rows");
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}
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@@ -549,6 +710,9 @@ function buildBidirectionalValueFlowInferredFacts(derived) {
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return [];
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}
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const facts = ["Counterparty net value-flow was calculated as incoming confirmed 1C rows minus outgoing confirmed 1C rows"];
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if (derived.coverage_recovered_by_period_chunking && derived.period_chunking_granularity === "month") {
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facts.push("Requested period coverage for bidirectional value-flow was recovered through monthly 1C side probes after a broad probe hit the row limit");
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}
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if (derived.aggregation_axis === "month" && derived.monthly_breakdown.length > 0) {
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facts.push("Counterparty monthly net value-flow breakdown was grouped by month over confirmed incoming and outgoing 1C rows");
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}
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@@ -706,36 +870,50 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
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};
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}
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pushReason(reasonCodes, "pilot_bidirectional_value_flow_recipes_selected");
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const incomingRecipePlan = (0, addressRecipeCatalog_1.buildAddressRecipePlan)(incomingSelection.selected_recipe, filters);
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const outgoingRecipePlan = (0, addressRecipeCatalog_1.buildAddressRecipePlan)(outgoingSelection.selected_recipe, filters);
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for (const step of dryRun.execution_steps) {
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if (step.primitive_id !== "query_movements") {
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skippedPrimitives.push(step.primitive_id);
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probeResults.push(skippedProbeResult(step, "pilot_bidirectional_value_flow_uses_two_query_movements_and_derives_net"));
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continue;
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}
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incomingResult = await deps.executeAddressMcpQuery({
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query: incomingRecipePlan.query,
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limit: incomingRecipePlan.limit,
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account_scope: incomingRecipePlan.account_scope
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const incomingExecution = await executeCoverageAwareValueFlowQuery({
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primitiveId: step.primitive_id,
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recipePlanBuilder: (scopedFilters) => (0, addressRecipeCatalog_1.buildAddressRecipePlan)(incomingSelection.selected_recipe, scopedFilters),
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baseFilters: filters,
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dateScope,
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maxProbeCount: planner.discovery_plan.execution_budget.max_probe_count,
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maxRowsPerProbe: planner.discovery_plan.execution_budget.max_rows_per_probe,
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deps
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});
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outgoingResult = await deps.executeAddressMcpQuery({
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query: outgoingRecipePlan.query,
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limit: outgoingRecipePlan.limit,
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account_scope: outgoingRecipePlan.account_scope
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const outgoingExecution = await executeCoverageAwareValueFlowQuery({
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primitiveId: step.primitive_id,
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recipePlanBuilder: (scopedFilters) => (0, addressRecipeCatalog_1.buildAddressRecipePlan)(outgoingSelection.selected_recipe, scopedFilters),
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baseFilters: filters,
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dateScope,
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maxProbeCount: planner.discovery_plan.execution_budget.max_probe_count,
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maxRowsPerProbe: planner.discovery_plan.execution_budget.max_rows_per_probe,
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deps
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});
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incomingResult = incomingExecution.result;
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outgoingResult = outgoingExecution.result;
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pushUnique(executedPrimitives, step.primitive_id);
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probeResults.push(queryResultToProbeResult(step.primitive_id, incomingResult));
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probeResults.push(queryResultToProbeResult(step.primitive_id, outgoingResult));
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if (incomingResult.error) {
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pushUnique(queryLimitations, incomingResult.error);
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probeResults.push(...incomingExecution.probe_results, ...outgoingExecution.probe_results);
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for (const limitation of [...incomingExecution.query_limitations, ...outgoingExecution.query_limitations]) {
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pushUnique(queryLimitations, limitation);
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}
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if (incomingResult?.error) {
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pushReason(reasonCodes, "pilot_bidirectional_incoming_query_movements_mcp_error");
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}
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if (outgoingResult.error) {
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pushUnique(queryLimitations, outgoingResult.error);
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if (outgoingResult?.error) {
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pushReason(reasonCodes, "pilot_bidirectional_outgoing_query_movements_mcp_error");
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}
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if (!incomingResult.error || !outgoingResult.error) {
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if (incomingResult?.coverage_recovered_by_period_chunking) {
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pushReason(reasonCodes, "pilot_bidirectional_incoming_monthly_period_chunking_recovered_coverage");
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}
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if (outgoingResult?.coverage_recovered_by_period_chunking) {
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pushReason(reasonCodes, "pilot_bidirectional_outgoing_monthly_period_chunking_recovered_coverage");
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}
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if (!incomingResult?.error || !outgoingResult?.error) {
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pushReason(reasonCodes, "pilot_bidirectional_query_movements_mcp_executed");
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}
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}
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@@ -745,7 +923,6 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
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outgoingResult,
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counterparty,
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periodScope: dateScope,
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probeLimit: planner.discovery_plan.execution_budget.max_rows_per_probe,
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aggregationAxis
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});
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if (derivedBidirectionalValueFlow) {
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@@ -810,30 +987,39 @@ async function executeAssistantMcpDiscoveryPilot(planner, deps = DEFAULT_DEPS) {
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pushReason(reasonCodes, valueFlowProfile.direction === "outgoing_supplier_payout"
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? "pilot_supplier_payout_recipe_selected"
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: "pilot_customer_revenue_recipe_selected");
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const recipePlan = (0, addressRecipeCatalog_1.buildAddressRecipePlan)(selection.selected_recipe, filters);
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for (const step of dryRun.execution_steps) {
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if (step.primitive_id !== "query_movements") {
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skippedPrimitives.push(step.primitive_id);
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probeResults.push(skippedProbeResult(step, "pilot_value_flow_uses_query_movements_and_derives_aggregate"));
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continue;
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}
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queryResult = await deps.executeAddressMcpQuery({
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query: recipePlan.query,
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limit: recipePlan.limit,
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account_scope: recipePlan.account_scope
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const execution = await executeCoverageAwareValueFlowQuery({
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primitiveId: step.primitive_id,
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recipePlanBuilder: (scopedFilters) => (0, addressRecipeCatalog_1.buildAddressRecipePlan)(selection.selected_recipe, scopedFilters),
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baseFilters: filters,
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dateScope,
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maxProbeCount: planner.discovery_plan.execution_budget.max_probe_count,
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maxRowsPerProbe: planner.discovery_plan.execution_budget.max_rows_per_probe,
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deps
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});
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executedPrimitives.push(step.primitive_id);
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probeResults.push(queryResultToProbeResult(step.primitive_id, queryResult));
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if (queryResult.error) {
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pushUnique(queryLimitations, queryResult.error);
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queryResult = execution.result;
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pushUnique(executedPrimitives, step.primitive_id);
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probeResults.push(...execution.probe_results);
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for (const limitation of execution.query_limitations) {
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pushUnique(queryLimitations, limitation);
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}
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if (queryResult?.error) {
|
||||
pushReason(reasonCodes, "pilot_query_movements_mcp_error");
|
||||
}
|
||||
else {
|
||||
pushReason(reasonCodes, "pilot_query_movements_mcp_executed");
|
||||
}
|
||||
if (queryResult?.coverage_recovered_by_period_chunking) {
|
||||
pushReason(reasonCodes, "pilot_monthly_period_chunking_recovered_coverage");
|
||||
}
|
||||
}
|
||||
const sourceRowsSummary = queryResult ? summarizeValueFlowRows(queryResult) : null;
|
||||
const derivedValueFlow = deriveValueFlow(queryResult, counterparty, dateScope, valueFlowProfile.direction, planner.discovery_plan.execution_budget.max_rows_per_probe, aggregationAxis);
|
||||
const derivedValueFlow = deriveValueFlow(queryResult, counterparty, dateScope, valueFlowProfile.direction, aggregationAxis);
|
||||
if (derivedValueFlow) {
|
||||
pushReason(reasonCodes, "pilot_derived_value_flow_from_confirmed_rows");
|
||||
if (aggregationAxis === "month" && derivedValueFlow.monthly_breakdown.length > 0) {
|
||||
|
||||
@@ -55,6 +55,24 @@ function addScopeAxes(axes, meaning) {
|
||||
function includesAny(text, tokens) {
|
||||
return tokens.some((token) => text.includes(token));
|
||||
}
|
||||
function isYearDateScope(meaning) {
|
||||
return /^\d{4}$/.test(toNonEmptyString(meaning?.explicit_date_scope) ?? "");
|
||||
}
|
||||
function budgetOverrideFor(input, recipe) {
|
||||
const meaning = input.turnMeaning ?? null;
|
||||
const requestedAggregationAxis = aggregationAxis(meaning);
|
||||
const isValueFlowRecipe = recipe.semanticDataNeed === "counterparty value-flow evidence" &&
|
||||
recipe.primitives.includes("query_movements");
|
||||
if (!isValueFlowRecipe) {
|
||||
return {};
|
||||
}
|
||||
if (requestedAggregationAxis === "month" || isYearDateScope(meaning)) {
|
||||
return {
|
||||
maxProbeCount: 30
|
||||
};
|
||||
}
|
||||
return {};
|
||||
}
|
||||
function recipeFor(input) {
|
||||
const meaning = input.turnMeaning ?? null;
|
||||
const domain = lower(meaning?.asked_domain_family);
|
||||
@@ -136,14 +154,19 @@ function statusFrom(plan, review) {
|
||||
}
|
||||
function planAssistantMcpDiscovery(input) {
|
||||
const recipe = recipeFor(input);
|
||||
const budgetOverride = budgetOverrideFor(input, recipe);
|
||||
const semanticDataNeed = toNonEmptyString(input.semanticDataNeed) ?? recipe.semanticDataNeed;
|
||||
const reasonCodes = [];
|
||||
pushReason(reasonCodes, recipe.reason);
|
||||
if (budgetOverride.maxProbeCount) {
|
||||
pushReason(reasonCodes, "planner_enabled_chunked_coverage_probe_budget");
|
||||
}
|
||||
const plan = (0, assistantMcpDiscoveryPolicy_1.buildAssistantMcpDiscoveryPlan)({
|
||||
semanticDataNeed,
|
||||
turnMeaning: input.turnMeaning,
|
||||
proposedPrimitives: recipe.primitives,
|
||||
requiredAxes: recipe.axes
|
||||
requiredAxes: recipe.axes,
|
||||
maxProbeCount: budgetOverride.maxProbeCount
|
||||
});
|
||||
const review = (0, assistantMcpCatalogIndex_1.reviewAssistantMcpDiscoveryPlanAgainstCatalog)(plan);
|
||||
const plannerStatus = statusFrom(plan, review);
|
||||
|
||||
@@ -21,7 +21,7 @@ const DEFAULT_DISCOVERY_BUDGET = {
|
||||
max_probe_count: 3,
|
||||
max_rows_per_probe: 100
|
||||
};
|
||||
const MAX_PROBE_COUNT = 6;
|
||||
const MAX_PROBE_COUNT = 36;
|
||||
const MAX_ROWS_PER_PROBE = 500;
|
||||
const ALLOWED_PRIMITIVE_SET = new Set(exports.ASSISTANT_MCP_DISCOVERY_PRIMITIVES);
|
||||
function toNonEmptyString(value) {
|
||||
|
||||
+6
@@ -139,6 +139,12 @@ function localizeLine(value) {
|
||||
if (/^Full all-time bidirectional value-flow is not proven without an explicit checked period$/i.test(value)) {
|
||||
return "Полный двусторонний денежный поток за все время без явно проверенного периода не подтвержден.";
|
||||
}
|
||||
if (/^Requested period coverage was recovered through monthly 1C value-flow probes after the broad probe hit the row limit$/i.test(value)) {
|
||||
return "Покрытие запрошенного периода восстановлено помесячными проверками 1С после того, как общая выборка уперлась в лимит строк.";
|
||||
}
|
||||
if (/^Requested period coverage for bidirectional value-flow was recovered through monthly 1C side probes after a broad probe hit the row limit$/i.test(value)) {
|
||||
return "Покрытие запрошенного периода по двустороннему денежному потоку восстановлено помесячными проверками 1С после того, как общая выборка уперлась в лимит строк хотя бы по одной стороне.";
|
||||
}
|
||||
return value;
|
||||
}
|
||||
function section(title, lines) {
|
||||
|
||||
Reference in New Issue
Block a user