Step 546: add constrained confidence calibration model

This commit is contained in:
Bill
2026-02-17 10:14:46 -07:00
parent a25f02345b
commit 6d4b806849
4 changed files with 286 additions and 0 deletions

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@@ -3793,4 +3793,13 @@ target_link_libraries(step545_test PRIVATE
tree_sitter_javascript tree_sitter_typescript
tree_sitter_java tree_sitter_rust tree_sitter_go)
add_executable(step546_test tests/step546_test.cpp)
target_include_directories(step546_test PRIVATE src)
target_link_libraries(step546_test PRIVATE
nlohmann_json::nlohmann_json
unofficial::tree-sitter::tree-sitter
tree_sitter_python tree_sitter_cpp tree_sitter_elisp
tree_sitter_javascript tree_sitter_typescript
tree_sitter_java tree_sitter_rust tree_sitter_go)
# Step 12: Dear ImGui shell scaffolding created (main.cpp exists but not built due to dependencies)

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@@ -0,0 +1,97 @@
#pragma once
// Step 546: Confidence Calibration for Constrained Paths
#include <algorithm>
#include <map>
#include <string>
struct CalibrationSample {
std::string route;
bool success = false;
bool postApplyFailure = false;
};
struct CalibratedConfidence {
double adjustedConfidence = 0.0;
std::string recommendedRoute;
std::map<std::string, double> routeScores;
};
class ConstrainedConfidenceCalibrator {
public:
static CalibratedConfidence calibrate(
double baseConfidence,
const std::map<std::string, int>& historicalSuccesses,
const std::map<std::string, int>& historicalAttempts,
const std::map<std::string, int>& historicalPostApplyFailures,
const std::string& preferredRoute) {
CalibratedConfidence out;
out.routeScores["deterministic_template"] =
scoreFor("deterministic_template", baseConfidence,
historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
out.routeScores["constrained_worker"] =
scoreFor("constrained_worker", baseConfidence,
historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
out.routeScores["general_worker"] =
scoreFor("general_worker", baseConfidence,
historicalSuccesses, historicalAttempts, historicalPostApplyFailures);
// Mild preference bias only if route is not heavily penalized.
if (!preferredRoute.empty()) {
out.routeScores[preferredRoute] += 0.03;
}
for (auto& kv : out.routeScores) {
kv.second = clamp(kv.second);
}
out.recommendedRoute = bestRoute(out.routeScores);
out.adjustedConfidence = clamp(out.routeScores[out.recommendedRoute]);
return out;
}
private:
static double scoreFor(const std::string& route,
double base,
const std::map<std::string, int>& successes,
const std::map<std::string, int>& attempts,
const std::map<std::string, int>& postApplyFailures) {
const int s = lookup(successes, route);
const int a = lookup(attempts, route);
const int f = lookup(postApplyFailures, route);
double successRate = (a > 0) ? (double)s / (double)a : 0.5;
double failurePenalty = (a > 0) ? (double)f / (double)a : 0.0;
double score = base;
score += 0.35 * (successRate - 0.5);
score -= 0.45 * failurePenalty;
// Repeated post-apply failures trigger stronger decay.
if (f >= 3) score -= 0.10;
if (f >= 5) score -= 0.10;
return clamp(score);
}
static int lookup(const std::map<std::string, int>& m, const std::string& key) {
auto it = m.find(key);
return it == m.end() ? 0 : it->second;
}
static std::string bestRoute(const std::map<std::string, double>& scores) {
std::string best = "general_worker";
double bestScore = -1.0;
for (const auto& kv : scores) {
if (kv.second > bestScore) {
bestScore = kv.second;
best = kv.first;
}
}
return best;
}
static double clamp(double x) {
return std::max(0.0, std::min(1.0, x));
}
};

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@@ -0,0 +1,143 @@
// Step 546: Confidence Calibration for Constrained Paths (12 tests)
#include "ConstrainedConfidenceCalibrator.h"
#include <iostream>
static int passed = 0, failed = 0;
#define TEST(name) { std::cout << " " << #name << "... "; }
#define PASS() { std::cout << "PASS\n"; ++passed; }
#define FAIL(msg) { std::cout << "FAIL: " << msg << "\n"; ++failed; }
#define CHECK(cond, msg) if (!(cond)) { FAIL(msg); return; } else {}
void test_no_history_defaults_to_base_confidence_band() {
TEST(no_history_defaults_to_base_confidence_band);
auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
CHECK(r.adjustedConfidence > 0.65 && r.adjustedConfidence < 0.75,
"default confidence should remain near base");
PASS();
}
void test_high_success_rate_increases_score() {
TEST(high_success_rate_increases_score);
std::map<std::string, int> succ{{"constrained_worker", 9}};
std::map<std::string, int> att{{"constrained_worker", 10}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.60, succ, att, {}, "constrained_worker");
CHECK(r.routeScores["constrained_worker"] > 0.70, "high success should boost score");
PASS();
}
void test_low_success_rate_decreases_score() {
TEST(low_success_rate_decreases_score);
std::map<std::string, int> succ{{"deterministic_template", 1}};
std::map<std::string, int> att{{"deterministic_template", 10}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, succ, att, {}, "deterministic_template");
CHECK(r.routeScores["deterministic_template"] < 0.60, "low success should reduce score");
PASS();
}
void test_post_apply_failures_penalize_route() {
TEST(post_apply_failures_penalize_route);
std::map<std::string, int> succ{{"constrained_worker", 8}};
std::map<std::string, int> att{{"constrained_worker", 10}};
std::map<std::string, int> fail{{"constrained_worker", 4}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.75, succ, att, fail, "constrained_worker");
CHECK(r.routeScores["constrained_worker"] < 0.70, "post-apply failures should penalize score");
PASS();
}
void test_repeated_failures_trigger_extra_decay() {
TEST(repeated_failures_trigger_extra_decay);
std::map<std::string, int> att{{"constrained_worker", 10}};
std::map<std::string, int> fail3{{"constrained_worker", 3}};
std::map<std::string, int> fail5{{"constrained_worker", 5}};
auto r3 = ConstrainedConfidenceCalibrator::calibrate(0.8, {}, att, fail3, "constrained_worker");
auto r5 = ConstrainedConfidenceCalibrator::calibrate(0.8, {}, att, fail5, "constrained_worker");
CHECK(r5.routeScores["constrained_worker"] < r3.routeScores["constrained_worker"],
"more repeated failures should decay confidence further");
PASS();
}
void test_best_route_selected_by_highest_score() {
TEST(best_route_selected_by_highest_score);
std::map<std::string, int> succ{{"deterministic_template", 9}, {"constrained_worker", 4}};
std::map<std::string, int> att{{"deterministic_template", 10}, {"constrained_worker", 10}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.65, succ, att, {}, "");
CHECK(r.recommendedRoute == "deterministic_template", "highest score route should be selected");
PASS();
}
void test_preferred_route_bias_applies() {
TEST(preferred_route_bias_applies);
auto a = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
auto b = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "constrained_worker");
CHECK(b.routeScores["constrained_worker"] > a.routeScores["constrained_worker"],
"preferred route should receive bias");
PASS();
}
void test_scores_are_clamped_to_one() {
TEST(scores_are_clamped_to_one);
std::map<std::string, int> succ{{"deterministic_template", 100}};
std::map<std::string, int> att{{"deterministic_template", 100}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.99, succ, att, {}, "deterministic_template");
CHECK(r.routeScores["deterministic_template"] <= 1.0, "score should clamp to one");
PASS();
}
void test_scores_are_clamped_to_zero() {
TEST(scores_are_clamped_to_zero);
std::map<std::string, int> att{{"constrained_worker", 10}};
std::map<std::string, int> fail{{"constrained_worker", 10}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.05, {}, att, fail, "constrained_worker");
CHECK(r.routeScores["constrained_worker"] >= 0.0, "score should clamp at zero");
PASS();
}
void test_adjusted_confidence_matches_recommended_route_score() {
TEST(adjusted_confidence_matches_recommended_route_score);
std::map<std::string, int> succ{{"general_worker", 8}};
std::map<std::string, int> att{{"general_worker", 10}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.60, succ, att, {}, "general_worker");
CHECK(r.adjustedConfidence == r.routeScores[r.recommendedRoute],
"adjusted confidence should match recommended route score");
PASS();
}
void test_missing_attempts_uses_neutral_prior() {
TEST(missing_attempts_uses_neutral_prior);
std::map<std::string, int> succ{{"constrained_worker", 5}};
auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, succ, {}, {}, "constrained_worker");
CHECK(r.routeScores["constrained_worker"] > 0.65 && r.routeScores["constrained_worker"] < 0.80,
"missing attempts should stay near base with mild bias only");
PASS();
}
void test_route_scores_include_all_policy_routes() {
TEST(route_scores_include_all_policy_routes);
auto r = ConstrainedConfidenceCalibrator::calibrate(0.70, {}, {}, {}, "");
CHECK(r.routeScores.count("deterministic_template") == 1, "missing deterministic route score");
CHECK(r.routeScores.count("constrained_worker") == 1, "missing constrained route score");
CHECK(r.routeScores.count("general_worker") == 1, "missing general route score");
PASS();
}
int main() {
std::cout << "Step 546: Confidence Calibration for Constrained Paths\n";
test_no_history_defaults_to_base_confidence_band(); // 1
test_high_success_rate_increases_score(); // 2
test_low_success_rate_decreases_score(); // 3
test_post_apply_failures_penalize_route(); // 4
test_repeated_failures_trigger_extra_decay(); // 5
test_best_route_selected_by_highest_score(); // 6
test_preferred_route_bias_applies(); // 7
test_scores_are_clamped_to_one(); // 8
test_scores_are_clamped_to_zero(); // 9
test_adjusted_confidence_matches_recommended_route_score(); // 10
test_missing_attempts_uses_neutral_prior(); // 11
test_route_scores_include_all_policy_routes(); // 12
std::cout << "\nResults: " << passed << "/" << (passed + failed) << " passed\n";
return failed == 0 ? 0 : 1;
}

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@@ -9433,3 +9433,40 @@ dependency noise for narrow operations.
- `editor/src/ContextBundleMinimizer.h` within header-size limit (`88` <= `600`)
- `editor/tests/step545_test.cpp` within test-file size guidance (`169` lines)
- Header-only architecture and naming conventions remain aligned with `ARCHITECTURE.md`
### Step 546: Confidence Calibration for Constrained Paths
**Status:** PASS (12/12 tests)
Implements confidence calibration for constrained routing by combining base
legal-choice confidence with historical success/failure rates and explicit
penalties for repeated post-apply failures.
**Files added:**
- `editor/src/ConstrainedConfidenceCalibrator.h` - confidence calibration module:
- route scoring for deterministic/constrained/general policy paths
- success-rate boosts and post-apply failure penalties
- extra decay for repeated post-apply failures
- preferred-route bias with post-bias score clamping
- best-route selection and adjusted-confidence emission
- `editor/tests/step546_test.cpp` - 12 tests covering:
- neutral/no-history behavior
- success/failure rate calibration effects
- repeated-failure decay behavior
- preferred-route bias behavior
- clamping behavior at score bounds
- recommended-route and adjusted-confidence consistency
- route score coverage across all policy paths
**Files modified:**
- `editor/CMakeLists.txt` - `step546_test` target
**Verification run:**
- `cmake -S editor -B editor/build-native` - PASS
- `cmake --build editor/build-native --target step546_test step545_test` - PASS
- `./editor/build-native/step546_test` - PASS (12/12)
- `./editor/build-native/step545_test` - PASS (12/12) regression coverage
**Architecture gate check:**
- `editor/src/ConstrainedConfidenceCalibrator.h` within header-size limit (`97` <= `600`)
- `editor/tests/step546_test.cpp` within test-file size guidance (`143` lines)
- Header-only architecture and naming conventions remain aligned with `ARCHITECTURE.md`