Step 546: add constrained confidence calibration model
This commit is contained in:
@@ -3793,4 +3793,13 @@ target_link_libraries(step545_test PRIVATE
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tree_sitter_javascript tree_sitter_typescript
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tree_sitter_java tree_sitter_rust tree_sitter_go)
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add_executable(step546_test tests/step546_test.cpp)
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target_include_directories(step546_test PRIVATE src)
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target_link_libraries(step546_test PRIVATE
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nlohmann_json::nlohmann_json
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unofficial::tree-sitter::tree-sitter
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tree_sitter_python tree_sitter_cpp tree_sitter_elisp
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tree_sitter_javascript tree_sitter_typescript
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tree_sitter_java tree_sitter_rust tree_sitter_go)
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# Step 12: Dear ImGui shell scaffolding created (main.cpp exists but not built due to dependencies)
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97
editor/src/ConstrainedConfidenceCalibrator.h
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97
editor/src/ConstrainedConfidenceCalibrator.h
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@@ -0,0 +1,97 @@
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#pragma once
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// Step 546: Confidence Calibration for Constrained Paths
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#include <algorithm>
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#include <map>
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#include <string>
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struct CalibrationSample {
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std::string route;
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bool success = false;
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bool postApplyFailure = false;
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};
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struct CalibratedConfidence {
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double adjustedConfidence = 0.0;
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std::string recommendedRoute;
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std::map<std::string, double> routeScores;
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};
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class ConstrainedConfidenceCalibrator {
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public:
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static CalibratedConfidence calibrate(
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double baseConfidence,
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const std::map<std::string, int>& historicalSuccesses,
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const std::map<std::string, int>& historicalAttempts,
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const std::map<std::string, int>& historicalPostApplyFailures,
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const std::string& preferredRoute) {
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CalibratedConfidence out;
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out.routeScores["deterministic_template"] =
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scoreFor("deterministic_template", baseConfidence,
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historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
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out.routeScores["constrained_worker"] =
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scoreFor("constrained_worker", baseConfidence,
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historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
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out.routeScores["general_worker"] =
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scoreFor("general_worker", baseConfidence,
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historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
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// Mild preference bias only if route is not heavily penalized.
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if (!preferredRoute.empty()) {
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out.routeScores[preferredRoute] += 0.03;
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}
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for (auto& kv : out.routeScores) {
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kv.second = clamp(kv.second);
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}
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out.recommendedRoute = bestRoute(out.routeScores);
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out.adjustedConfidence = clamp(out.routeScores[out.recommendedRoute]);
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return out;
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}
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private:
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static double scoreFor(const std::string& route,
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double base,
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const std::map<std::string, int>& successes,
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const std::map<std::string, int>& attempts,
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const std::map<std::string, int>& postApplyFailures) {
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const int s = lookup(successes, route);
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const int a = lookup(attempts, route);
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const int f = lookup(postApplyFailures, route);
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double successRate = (a > 0) ? (double)s / (double)a : 0.5;
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double failurePenalty = (a > 0) ? (double)f / (double)a : 0.0;
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double score = base;
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score += 0.35 * (successRate - 0.5);
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score -= 0.45 * failurePenalty;
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// Repeated post-apply failures trigger stronger decay.
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if (f >= 3) score -= 0.10;
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if (f >= 5) score -= 0.10;
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return clamp(score);
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}
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static int lookup(const std::map<std::string, int>& m, const std::string& key) {
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auto it = m.find(key);
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return it == m.end() ? 0 : it->second;
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}
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static std::string bestRoute(const std::map<std::string, double>& scores) {
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std::string best = "general_worker";
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double bestScore = -1.0;
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for (const auto& kv : scores) {
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if (kv.second > bestScore) {
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bestScore = kv.second;
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best = kv.first;
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}
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}
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return best;
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}
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static double clamp(double x) {
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return std::max(0.0, std::min(1.0, x));
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}
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};
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143
editor/tests/step546_test.cpp
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143
editor/tests/step546_test.cpp
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@@ -0,0 +1,143 @@
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// Step 546: Confidence Calibration for Constrained Paths (12 tests)
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#include "ConstrainedConfidenceCalibrator.h"
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#include <iostream>
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static int passed = 0, failed = 0;
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#define TEST(name) { std::cout << " " << #name << "... "; }
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#define PASS() { std::cout << "PASS\n"; ++passed; }
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#define FAIL(msg) { std::cout << "FAIL: " << msg << "\n"; ++failed; }
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#define CHECK(cond, msg) if (!(cond)) { FAIL(msg); return; } else {}
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void test_no_history_defaults_to_base_confidence_band() {
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TEST(no_history_defaults_to_base_confidence_band);
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
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CHECK(r.adjustedConfidence > 0.65 && r.adjustedConfidence < 0.75,
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"default confidence should remain near base");
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PASS();
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}
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void test_high_success_rate_increases_score() {
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TEST(high_success_rate_increases_score);
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std::map<std::string, int> succ{{"constrained_worker", 9}};
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std::map<std::string, int> att{{"constrained_worker", 10}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.60, succ, att, {}, "constrained_worker");
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CHECK(r.routeScores["constrained_worker"] > 0.70, "high success should boost score");
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PASS();
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}
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void test_low_success_rate_decreases_score() {
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TEST(low_success_rate_decreases_score);
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std::map<std::string, int> succ{{"deterministic_template", 1}};
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std::map<std::string, int> att{{"deterministic_template", 10}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, succ, att, {}, "deterministic_template");
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CHECK(r.routeScores["deterministic_template"] < 0.60, "low success should reduce score");
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PASS();
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}
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void test_post_apply_failures_penalize_route() {
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TEST(post_apply_failures_penalize_route);
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std::map<std::string, int> succ{{"constrained_worker", 8}};
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std::map<std::string, int> att{{"constrained_worker", 10}};
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std::map<std::string, int> fail{{"constrained_worker", 4}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.75, succ, att, fail, "constrained_worker");
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CHECK(r.routeScores["constrained_worker"] < 0.70, "post-apply failures should penalize score");
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PASS();
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}
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void test_repeated_failures_trigger_extra_decay() {
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TEST(repeated_failures_trigger_extra_decay);
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std::map<std::string, int> att{{"constrained_worker", 10}};
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std::map<std::string, int> fail3{{"constrained_worker", 3}};
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std::map<std::string, int> fail5{{"constrained_worker", 5}};
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auto r3 = ConstrainedConfidenceCalibrator::calibrate(0.8, {}, att, fail3, "constrained_worker");
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auto r5 = ConstrainedConfidenceCalibrator::calibrate(0.8, {}, att, fail5, "constrained_worker");
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CHECK(r5.routeScores["constrained_worker"] < r3.routeScores["constrained_worker"],
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"more repeated failures should decay confidence further");
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PASS();
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}
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void test_best_route_selected_by_highest_score() {
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TEST(best_route_selected_by_highest_score);
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std::map<std::string, int> succ{{"deterministic_template", 9}, {"constrained_worker", 4}};
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std::map<std::string, int> att{{"deterministic_template", 10}, {"constrained_worker", 10}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.65, succ, att, {}, "");
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CHECK(r.recommendedRoute == "deterministic_template", "highest score route should be selected");
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PASS();
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}
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void test_preferred_route_bias_applies() {
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TEST(preferred_route_bias_applies);
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auto a = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
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auto b = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "constrained_worker");
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CHECK(b.routeScores["constrained_worker"] > a.routeScores["constrained_worker"],
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"preferred route should receive bias");
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PASS();
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}
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void test_scores_are_clamped_to_one() {
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TEST(scores_are_clamped_to_one);
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std::map<std::string, int> succ{{"deterministic_template", 100}};
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std::map<std::string, int> att{{"deterministic_template", 100}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.99, succ, att, {}, "deterministic_template");
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CHECK(r.routeScores["deterministic_template"] <= 1.0, "score should clamp to one");
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PASS();
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}
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void test_scores_are_clamped_to_zero() {
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TEST(scores_are_clamped_to_zero);
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std::map<std::string, int> att{{"constrained_worker", 10}};
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std::map<std::string, int> fail{{"constrained_worker", 10}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.05, {}, att, fail, "constrained_worker");
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CHECK(r.routeScores["constrained_worker"] >= 0.0, "score should clamp at zero");
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PASS();
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}
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void test_adjusted_confidence_matches_recommended_route_score() {
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TEST(adjusted_confidence_matches_recommended_route_score);
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std::map<std::string, int> succ{{"general_worker", 8}};
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std::map<std::string, int> att{{"general_worker", 10}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.60, succ, att, {}, "general_worker");
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CHECK(r.adjustedConfidence == r.routeScores[r.recommendedRoute],
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"adjusted confidence should match recommended route score");
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PASS();
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}
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void test_missing_attempts_uses_neutral_prior() {
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TEST(missing_attempts_uses_neutral_prior);
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std::map<std::string, int> succ{{"constrained_worker", 5}};
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, succ, {}, {}, "constrained_worker");
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CHECK(r.routeScores["constrained_worker"] > 0.65 && r.routeScores["constrained_worker"] < 0.80,
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"missing attempts should stay near base with mild bias only");
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PASS();
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}
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void test_route_scores_include_all_policy_routes() {
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TEST(route_scores_include_all_policy_routes);
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auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
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CHECK(r.routeScores.count("deterministic_template") == 1, "missing deterministic route score");
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CHECK(r.routeScores.count("constrained_worker") == 1, "missing constrained route score");
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CHECK(r.routeScores.count("general_worker") == 1, "missing general route score");
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PASS();
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}
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int main() {
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std::cout << "Step 546: Confidence Calibration for Constrained Paths\n";
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test_no_history_defaults_to_base_confidence_band(); // 1
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test_high_success_rate_increases_score(); // 2
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test_low_success_rate_decreases_score(); // 3
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test_post_apply_failures_penalize_route(); // 4
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test_repeated_failures_trigger_extra_decay(); // 5
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test_best_route_selected_by_highest_score(); // 6
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test_preferred_route_bias_applies(); // 7
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test_scores_are_clamped_to_one(); // 8
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test_scores_are_clamped_to_zero(); // 9
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test_adjusted_confidence_matches_recommended_route_score(); // 10
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test_missing_attempts_uses_neutral_prior(); // 11
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test_route_scores_include_all_policy_routes(); // 12
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std::cout << "\nResults: " << passed << "/" << (passed + failed) << " passed\n";
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return failed == 0 ? 0 : 1;
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}
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37
progress.md
37
progress.md
@@ -9433,3 +9433,40 @@ dependency noise for narrow operations.
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- `editor/src/ContextBundleMinimizer.h` within header-size limit (`88` <= `600`)
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- `editor/tests/step545_test.cpp` within test-file size guidance (`169` lines)
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- Header-only architecture and naming conventions remain aligned with `ARCHITECTURE.md`
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### Step 546: Confidence Calibration for Constrained Paths
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**Status:** PASS (12/12 tests)
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Implements confidence calibration for constrained routing by combining base
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legal-choice confidence with historical success/failure rates and explicit
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penalties for repeated post-apply failures.
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**Files added:**
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- `editor/src/ConstrainedConfidenceCalibrator.h` - confidence calibration module:
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- route scoring for deterministic/constrained/general policy paths
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- success-rate boosts and post-apply failure penalties
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- extra decay for repeated post-apply failures
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- preferred-route bias with post-bias score clamping
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- best-route selection and adjusted-confidence emission
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- `editor/tests/step546_test.cpp` - 12 tests covering:
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- neutral/no-history behavior
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- success/failure rate calibration effects
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- repeated-failure decay behavior
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- preferred-route bias behavior
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- clamping behavior at score bounds
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- recommended-route and adjusted-confidence consistency
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- route score coverage across all policy paths
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**Files modified:**
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- `editor/CMakeLists.txt` - `step546_test` target
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**Verification run:**
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- `cmake -S editor -B editor/build-native` - PASS
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- `cmake --build editor/build-native --target step546_test step545_test` - PASS
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- `./editor/build-native/step546_test` - PASS (12/12)
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- `./editor/build-native/step545_test` - PASS (12/12) regression coverage
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**Architecture gate check:**
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- `editor/src/ConstrainedConfidenceCalibrator.h` within header-size limit (`97` <= `600`)
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- `editor/tests/step546_test.cpp` within test-file size guidance (`143` lines)
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- Header-only architecture and naming conventions remain aligned with `ARCHITECTURE.md`
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