{"parentUuid":null,"isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":"I'm working on /root/traccar-geocoder. The main source file is builder/src/build_index.cpp (~3300 lines). I need to plan:\n\n1. What additional tests to write beyond the existing 12 unit tests in builder/test/test_ring_assembly.cpp and the integration test script\n2. What refactoring opportunities exist in build_index.cpp\n\nRead builder/src/build_index.cpp and identify:\n- Functions that are too long and should be split\n- Code duplication that should be extracted\n- Magic numbers that should be named constants\n- Functions that could be moved to separate files for better organization\n- Any other code quality issues\n\nAlso identify edge cases we should test that aren't covered by the existing unit tests. Look at the actual algorithm code (ring assembly, S2 cell computation, string interning, parallel merge, write phase) for testable behaviors.\n\nDon't make any changes — just research and report back with a structured plan."},"uuid":"decef7bc-0d0c-414e-8e78-a8851325d6b3","timestamp":"2026-03-23T10:04:00.249Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"decef7bc-0d0c-414e-8e78-a8851325d6b3","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01DUjYkTPJiTGPY33RERgmdz","type":"message","role":"assistant","content":[{"type":"text","text":"\n\nI'll start by reading the main source file and the existing tests to understand the codebase."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":7757,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":7757,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZKpdnP6urL15R9iRmqnT","type":"assistant","uuid":"f8846caa-dc1c-400f-ba52-482525a0da8f","timestamp":"2026-03-23T10:04:05.536Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} 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{"parentUuid":"2cbdf5eb-597f-42cf-bb2f-312d825af092","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_018D8yzbBLkjZ7Ad4EvBVns2","toolUseID":"toolu_018D8yzbBLkjZ7Ad4EvBVns2","timestamp":"2026-03-23T10:04:05.981Z","uuid":"31357521-6332-49ef-88af-33ae159b204a","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"2cbdf5eb-597f-42cf-bb2f-312d825af092","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018D8yzbBLkjZ7Ad4EvBVns2","type":"tool_result","content":" 1→#include \n 2→#include \n 3→#include \n 4→#include \n 5→#include \n 6→#include \n 7→#include \n 8→#include \n 9→#include \n 10→#include \n 11→#include \n 12→#include \n 13→#include \n 14→#include \n 15→#include \n 16→#include \n 17→#include \n 18→#include \n 19→\n 20→#include \n 21→#include \n 22→#include \n 23→#include \n 24→#include \n 25→#include \n 26→#include \n 27→#include \n 28→// FlexMem no longer used — replaced by DenseIndex mmap\n 29→#include \n 30→#include \n 31→\n 32→#include \n 33→#include \n 34→#include \n 35→#include \n 36→#include \n 37→#include \n 38→#include \n 39→\n 40→// --- Directory creation ---\n 41→\n 42→static void ensure_dir(const std::string& path) {\n 43→ mkdir(path.c_str(), 0755);\n 44→}\n 45→\n 46→// --- Binary format structs ---\n 47→\n 48→struct WayHeader {\n 49→ uint32_t node_offset;\n 50→ uint8_t node_count;\n 51→ uint32_t name_id;\n 52→};\n 53→\n 54→struct AddrPoint {\n 55→ float lat;\n 56→ float lng;\n 57→ uint32_t housenumber_id;\n 58→ uint32_t street_id;\n 59→};\n 60→\n 61→struct InterpWay {\n 62→ uint32_t node_offset;\n 63→ uint8_t node_count;\n 64→ uint32_t street_id;\n 65→ uint32_t start_number;\n 66→ uint32_t end_number;\n 67→ uint8_t interpolation;\n 68→};\n 69→\n 70→struct AdminPolygon {\n 71→ uint32_t vertex_offset;\n 72→ uint16_t vertex_count;\n 73→ uint32_t name_id;\n 74→ uint8_t admin_level;\n 75→ float area;\n 76→ uint16_t country_code;\n 77→};\n 78→\n 79→struct NodeCoord {\n 80→ float lat;\n 81→ float lng;\n 82→};\n 83→\n 84→static const uint32_t INTERIOR_FLAG = 0x80000000u;\n 85→static const uint32_t ID_MASK = 0x7FFFFFFFu;\n 86→\n 87→// --- Index mode ---\n 88→\n 89→enum class IndexMode { Full, NoAddresses, AdminOnly };\n 90→\n 91→// --- String interning ---\n 92→\n 93→class StringPool {\n 94→public:\n 95→ uint32_t intern(const std::string& s) {\n 96→ auto it = index_.find(s);\n 97→ if (it != index_.end()) {\n 98→ return it->second;\n 99→ }\n 100→ uint32_t offset = static_cast(data_.size());\n 101→ index_[s] = offset;\n 102→ data_.insert(data_.end(), s.begin(), s.end());\n 103→ data_.push_back('\\0');\n 104→ return offset;\n 105→ }\n 106→\n 107→ const std::vector& data() const { return data_; }\n 108→ std::vector& mutable_data() { return data_; }\n 109→\n 110→private:\n 111→ std::unordered_map index_;\n 112→ std::vector data_;\n 113→};\n 114→\n 115→// --- Phase timer ---\n 116→static void log_phase(const char* name, std::chrono::steady_clock::time_point& t) {\n 117→ auto ms = std::chrono::duration_cast(\n 118→ std::chrono::steady_clock::now() - t).count();\n 119→ std::cerr << \" [\" << ms/1000 << \".\" << (ms%1000)/100 << \"s] \" << name << std::endl;\n 120→ t = std::chrono::steady_clock::now();\n 121→}\n 122→\n 123→// --- Deferred S2 work items (computed in parallel after PBF read) ---\n 124→\n 125→struct DeferredWay {\n 126→ uint32_t way_id;\n 127→ uint32_t node_offset;\n 128→ uint8_t node_count;\n 129→};\n 130→\n 131→struct DeferredInterp {\n 132→ uint32_t interp_id;\n 133→ uint32_t node_offset;\n 134→ uint8_t node_count;\n 135→};\n 136→\n 137→// Collected relation data for parallel admin assembly\n 138→struct CollectedRelation {\n 139→ int64_t id;\n 140→ uint8_t admin_level;\n 141→ std::string name;\n 142→ std::string country_code;\n 143→ bool is_postal;\n 144→ std::vector> members; // (way_id, role)\n 145→};\n 146→\n 147→// Forward declaration\n 148→static std::vector> cover_polygon(const std::vector>& vertices);\n 149→\n 150→// --- Thread pool for concurrent admin polygon S2 covering ---\n 151→\n 152→class AdminCoverPool {\n 153→public:\n 154→ struct WorkItem {\n 155→ uint32_t poly_id;\n 156→ std::vector> vertices;\n 157→ };\n 158→\n 159→ explicit AdminCoverPool(size_t num_threads) : stop_(false) {\n 160→ for (size_t i = 0; i < num_threads; i++) {\n 161→ workers_.emplace_back([this]() { worker_loop(); });\n 162→ }\n 163→ }\n 164→\n 165→ ~AdminCoverPool() {\n 166→ {\n 167→ std::lock_guard lock(mutex_);\n 168→ stop_ = true;\n 169→ }\n 170→ cv_.notify_all();\n 171→ for (auto& t : workers_) t.join();\n 172→ }\n 173→\n 174→ void submit(uint32_t poly_id, std::vector>&& vertices) {\n 175→ {\n 176→ std::lock_guard lock(mutex_);\n 177→ queue_.push_back({poly_id, std::move(vertices)});\n 178→ }\n 179→ cv_.notify_one();\n 180→ }\n 181→\n 182→ // Wait for all pending work to complete, then return merged results\n 183→ std::unordered_map> drain() {\n 184→ // Wait until queue is empty and all workers are idle\n 185→ {\n 186→ std::unique_lock lock(mutex_);\n 187→ done_cv_.wait(lock, [this]() { return queue_.empty() && active_workers_ == 0; });\n 188→ }\n 189→\n 190→ // Merge all thread-local results\n 191→ std::unordered_map> merged;\n 192→ for (auto& local : thread_results_) {\n 193→ for (auto& [cell_id, ids] : local) {\n 194→ auto& target = merged[cell_id];\n 195→ target.insert(target.end(), ids.begin(), ids.end());\n 196→ }\n 197→ }\n 198→ return merged;\n 199→ }\n 200→"}]},"uuid":"af1185d4-6f9c-4cad-b793-6903f322a768","timestamp":"2026-03-23T10:04:05.981Z","sourceToolAssistantUUID":"2cbdf5eb-597f-42cf-bb2f-312d825af092","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} 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development:\n 3→// - Coordinate-based endpoint matching (split/replaced nodes)\n 4→// - Backtracking at branch points\n 5→// - Closed-way admin polygon detection\n 6→// - Inner-role way retry\n 7→// - Self-intersection detection\n 8→// - Border-line relation filtering\n 9→// - Duplicate coordinate detection (hole merging)\n 10→//\n 11→// Build: g++ -O2 -std=c++17 -o test_ring_assembly test_ring_assembly.cpp\n 12→// Run: ./test_ring_assembly\n 13→\n 14→#include \n 15→#include \n 16→#include \n 17→#include \n 18→#include \n 19→#include \n 20→#include \n 21→#include \n 22→\n 23→// --- Minimal types matching build_index.cpp ---\n 24→\n 25→struct CellItemPair { uint64_t cell_id; uint32_t item_id; };\n 26→\n 27→namespace ParsedData {\n 28→ struct WayGeometry {\n 29→ std::vector> coords;\n 30→ int64_t first_node_id;\n 31→ int64_t last_node_id;\n 32→ };\n 33→}\n 34→\n 35→// Coordinate key matching osmium's Location (int32_t nanodegrees)\n 36→static int64_t coord_key(double lat, double lng) {\n 37→ int32_t ilat = static_cast(lat * 1e7 + (lat >= 0 ? 0.5 : -0.5));\n 38→ int32_t ilng = static_cast(lng * 1e7 + (lng >= 0 ? 0.5 : -0.5));\n 39→ return (static_cast(ilat) << 32) | static_cast(ilng);\n 40→}\n 41→\n 42→// --- Test helpers ---\n 43→\n 44→static int tests_run = 0;\n 45→static int tests_passed = 0;\n 46→\n 47→#define TEST(name) do { \\\n 48→ tests_run++; \\\n 49→ std::cerr << \" TEST: \" << name << \"... \"; \\\n 50→} while(0)\n 51→\n 52→#define PASS() do { \\\n 53→ tests_passed++; \\\n 54→ std::cerr << \"PASS\" << std::endl; \\\n 55→} while(0)\n 56→\n 57→#define FAIL(msg) do { \\\n 58→ std::cerr << \"FAIL: \" << msg << std::endl; \\\n 59→} while(0)\n 60→\n 61→template std::string to_str(const T& v) { return std::to_string(v); }\n 62→inline std::string to_str(const std::string& v) { return \"\\\"\" + v + \"\\\"\"; }\n 63→inline std::string to_str(const char* v) { return std::string(\"\\\"\") + v + \"\\\"\"; }\n 64→\n 65→#define ASSERT_EQ(a, b) do { \\\n 66→ if ((a) != (b)) { FAIL(#a \" != \" #b \" (\" + to_str(a) + \" vs \" + to_str(b) + \")\"); return; } \\\n 67→} while(0)\n 68→\n 69→#define ASSERT_TRUE(cond) do { \\\n 70→ if (!(cond)) { FAIL(#cond \" is false\"); return; } \\\n 71→} while(0)\n 72→\n 73→// --- Tests ---\n 74→\n 75→void test_coord_key_basic() {\n 76→ TEST(\"coord_key basic\");\n 77→ // Same coordinates should produce same key\n 78→ ASSERT_EQ(coord_key(51.5, -0.1), coord_key(51.5, -0.1));\n 79→ // Different coordinates should produce different keys\n 80→ ASSERT_TRUE(coord_key(51.5, -0.1) != coord_key(51.5, -0.2));\n 81→ ASSERT_TRUE(coord_key(51.5, -0.1) != coord_key(51.6, -0.1));\n 82→ PASS();\n 83→}\n 84→\n 85→void test_coord_key_split_nodes() {\n 86→ TEST(\"coord_key handles split/replaced nodes at same location\");\n 87→ // Two different OSM nodes at the same coordinates should have the same key\n 88→ // (even though they have different node IDs)\n 89→ double lat = 49.5576001, lng = 8.8074189;\n 90→ int64_t k1 = coord_key(lat, lng);\n 91→ int64_t k2 = coord_key(lat, lng);\n 92→ ASSERT_EQ(k1, k2);\n 93→ PASS();\n 94→}\n 95→\n 96→void test_coord_key_negative_coords() {\n 97→ TEST(\"coord_key with negative coordinates\");\n 98→ // Southern/western hemisphere\n 99→ int64_t k1 = coord_key(-33.8688, 151.2093); // Sydney\n 100→ int64_t k2 = coord_key(-33.8688, 151.2093);\n 101→ ASSERT_EQ(k1, k2);\n 102→ // Different cities\n 103→ ASSERT_TRUE(coord_key(-33.8688, 151.2093) != coord_key(-22.9068, -43.1729));\n 104→ PASS();\n 105→}\n 106→\n 107→void test_self_intersection_simple_square() {\n 108→ TEST(\"self-intersection: simple square has no crossing\");\n 109→ // A simple square should not self-intersect\n 110→ std::vector> square = {\n 111→ {0, 0}, {0, 1}, {1, 1}, {1, 0}, {0, 0}\n 112→ };\n 113→ // Simple brute-force check\n 114→ bool has_cross = false;\n 115→ size_t n = square.size();\n 116→ for (size_t i = 0; i + 1 < n && !has_cross; i++) {\n 117→ for (size_t j = i + 2; j + 1 < n && !has_cross; j++) {\n 118→ if (j == i + 1 || (i == 0 && j == n - 2)) continue;\n 119→ // Cross product intersection test\n 120→ auto cross = [](double ox, double oy, double ax, double ay, double bx, double by) {\n 121→ return (ax - ox) * (by - oy) - (ay - oy) * (bx - ox);\n 122→ };\n 123→ double d1 = cross(square[j].first, square[j].second, square[j+1].first, square[j+1].second, square[i].first, square[i].second);\n 124→ double d2 = cross(square[j].first, square[j].second, square[j+1].first, square[j+1].second, square[i+1].first, square[i+1].second);\n 125→ double d3 = cross(square[i].first, square[i].second, square[i+1].first, square[i+1].second, square[j].first, square[j].second);\n 126→ double d4 = cross(square[i].first, square[i].second, square[i+1].first, square[i+1].second, square[j+1].first, square[j+1].second);\n 127→ if (((d1 > 0 && d2 < 0) || (d1 < 0 && d2 > 0)) &&\n 128→ ((d3 > 0 && d4 < 0) || (d3 < 0 && d4 > 0))) {\n 129→ has_cross = true;\n 130→ }\n 131→ }\n 132→ }\n 133→ ASSERT_TRUE(!has_cross);\n 134→ PASS();\n 135→}\n 136→\n 137→void test_self_intersection_bowtie() {\n 138→ TEST(\"self-intersection: bowtie (figure-8) detected\");\n 139→ // A bowtie shape crosses itself at (0.5, 0.5)\n 140→ std::vector> bowtie = {\n 141→ {0, 0}, {1, 1}, {1, 0}, {0, 1}, {0, 0}\n 142→ };\n 143→ bool has_cross = false;\n 144→ size_t n = bowtie.size();\n 145→ for (size_t i = 0; i + 1 < n && !has_cross; i++) {\n 146→ for (size_t j = i + 2; j + 1 < n && !has_cross; j++) {\n 147→ if (j == i + 1 || (i == 0 && j == n - 2)) continue;\n 148→ auto cross = [](double ox, double oy, double ax, double ay, double bx, double by) {\n 149→ return (ax - ox) * (by - oy) - (ay - oy) * (bx - ox);\n 150→ };\n 151→ double d1 = cross(bowtie[j].first, bowtie[j].second, bowtie[j+1].first, bowtie[j+1].second, bowtie[i].first, bowtie[i].second);\n 152→ double d2 = cross(bowtie[j].first, bowtie[j].second, bowtie[j+1].first, bowtie[j+1].second, bowtie[i+1].first, bowtie[i+1].second);\n 153→ double d3 = cross(bowtie[i].first, bowtie[i].second, bowtie[i+1].first, bowtie[i+1].second, bowtie[j].first, bowtie[j].second);\n 154→ double d4 = cross(bowtie[i].first, bowtie[i].second, bowtie[i+1].first, bowtie[i+1].second, bowtie[j+1].first, bowtie[j+1].second);\n 155→ if (((d1 > 0 && d2 < 0) || (d1 < 0 && d2 > 0)) &&\n 156→ ((d3 > 0 && d4 < 0) || (d3 < 0 && d4 > 0))) {\n 157→ has_cross = true;\n 158→ }\n 159→ }\n 160→ }\n 161→ ASSERT_TRUE(has_cross);\n 162→ PASS();\n 163→}\n 164→\n 165→void test_duplicate_coords_detection() {\n 166→ TEST(\"duplicate coordinate detection in ring\");\n 167→ // A ring that visits a coordinate twice (figure-8 from merged hole)\n 168→ std::vector> ring = {\n 169→ {0, 0}, {1, 0}, {1, 1}, {0.5, 0.5}, {0, 1}, {0.5, 0.5}, {1, 1}, {0, 0}\n 170→ };\n 171→ // Check for duplicates\n 172→ std::unordered_map seen;\n 173→ bool has_dup = false;\n 174→ for (size_t i = 0; i + 1 < ring.size(); i++) {\n 175→ int64_t k = coord_key(ring[i].first, ring[i].second);\n 176→ if (++seen[k] > 1) { has_dup = true; break; }\n 177→ }\n 178→ ASSERT_TRUE(has_dup);\n 179→ PASS();\n 180→}\n 181→\n 182→void test_no_duplicate_coords_simple_ring() {\n 183→ TEST(\"no duplicate coords in simple ring\");\n 184→ std::vector> ring = {\n 185→ {0, 0}, {1, 0}, {1, 1}, {0, 1}, {0, 0}\n 186→ };\n 187→ std::unordered_map seen;\n 188→ bool has_dup = false;\n 189→ for (size_t i = 0; i + 1 < ring.size(); i++) {\n 190→ int64_t k = coord_key(ring[i].first, ring[i].second);\n 191→ if (++seen[k] > 1) { has_dup = true; break; }\n 192→ }\n 193→ ASSERT_TRUE(!has_dup);\n 194→ PASS();\n 195→}\n 196→\n 197→void test_border_line_name_pattern() {\n 198→ TEST(\"border-line relation name detection\");\n 199→ // Level 2 relations with \" - \" or \" — \" in name are border lines, not countries\n 200→ auto is_border_line = [](const std::string& name) {\n 201→ return name.find(\" - \") != std::string::npos ||\n 202→ name.find(\" \\xe2\\x80\\x94 \") != std::string::npos; // em dash\n 203→ };\n 204→ ASSERT_TRUE(is_border_line(\"Deutschland - Österreich\"));\n 205→ ASSERT_TRUE(is_border_line(\"France - Deutschland\"));\n 206→ ASSERT_TRUE(is_border_line(\"Deutschland \\xe2\\x80\\x94 Schweiz / Suisse / Svizerra\"));\n 207→ ASSERT_TRUE(!is_border_line(\"Deutschland\"));\n 208→ ASSERT_TRUE(!is_border_line(\"Akrotiri and Dhekelia\")); // not a border line\n 209→ ASSERT_TRUE(!is_border_line(\"Österreich\"));\n 210→ PASS();\n 211→}\n 212→\n 213→void test_string_separator_bug() {\n 214→ TEST(\"string null separator (the \\\\0 bug)\");\n 215→ // The original bug: std::string(\"x\") + \"\\0\" doesn't embed a null\n 216→ std::string bad = std::string(\"42\") + \"\\0\" + std::string(\"Main St\");\n 217→ // This produces \"42Main St\" — the \\0 is an empty string in the concatenation\n 218→ // The fix uses std::pair instead\n 219→\n 220→ // Verify the bug exists\n 221→ ASSERT_EQ(bad, std::string(\"42Main St\")); // NOT \"42\\0Main St\"\n 222→ ASSERT_EQ(bad.size(), 9u); // \"42Main St\" = 9 chars (no null embedded)\n 223→\n 224→ // Verify the fix: pair stores them separately\n 225→ std::pair fixed = {\"42\", \"Main St\"};\n 226→ ASSERT_EQ(fixed.first, \"42\");\n 227→ ASSERT_EQ(fixed.second, \"Main St\");\n 228→ PASS();\n 229→}\n 230→\n 231→void test_cell_item_pair_sorting() {\n 232→ TEST(\"CellItemPair sorting by cell_id then item_id\");\n 233→ std::vector pairs = {\n 234→ {100, 3}, {50, 1}, {100, 1}, {50, 2}, {100, 2}\n 235→ };\n 236→ std::sort(pairs.begin(), pairs.end(), [](const CellItemPair& a, const CellItemPair& b) {\n 237→ return a.cell_id < b.cell_id || (a.cell_id == b.cell_id && a.item_id < b.item_id);\n 238→ });\n 239→ ASSERT_EQ(pairs[0].cell_id, 50u);\n 240→ ASSERT_EQ(pairs[0].item_id, 1u);\n 241→ ASSERT_EQ(pairs[1].cell_id, 50u);\n 242→ ASSERT_EQ(pairs[1].item_id, 2u);\n 243→ ASSERT_EQ(pairs[2].cell_id, 100u);\n 244→ ASSERT_EQ(pairs[2].item_id, 1u);\n 245→ PASS();\n 246→}\n 247→\n 248→void test_parallel_merge_join_correctness() {\n 249→ TEST(\"merge-join produces correct offsets\");\n 250→ // Simulate: sorted_cells has cells 10,20,30,40,50\n 251→ // sorted_pairs has items for cells 10,30,50\n 252→ std::vector sorted_cells = {10, 20, 30, 40, 50};\n 253→ std::vector sorted_pairs = {\n 254→ {10, 1}, {10, 2},\n 255→ {30, 3},\n 256→ {50, 4}, {50, 5}, {50, 6}\n 257→ };\n 258→\n 259→ // Simulate merge-join\n 260→ const uint32_t NO_DATA = 0xFFFFFFFF;\n 261→ std::vector offsets(sorted_cells.size(), NO_DATA);\n 262→ uint32_t current = 0;\n 263→ size_t pi = 0;\n 264→ for (uint32_t si = 0; si < sorted_cells.size() && pi < sorted_pairs.size(); si++) {\n 265→ if (sorted_cells[si] < sorted_pairs[pi].cell_id) continue;\n 266→ while (pi < sorted_pairs.size() && sorted_pairs[pi].cell_id < sorted_cells[si]) pi++;\n 267→ if (pi >= sorted_pairs.size() || sorted_pairs[pi].cell_id != sorted_cells[si]) continue;\n 268→ offsets[si] = current;\n 269→ size_t start = pi;\n 270→ while (pi < sorted_pairs.size() && sorted_pairs[pi].cell_id == sorted_cells[si]) pi++;\n 271→ current += sizeof(uint16_t) + (pi - start) * sizeof(uint32_t);\n 272→ }\n 273→\n 274→ // Cell 10 (index 0) should have offset 0\n 275→ ASSERT_EQ(offsets[0], 0u);\n 276→ // Cell 20 (index 1) has no items\n 277→ ASSERT_EQ(offsets[1], NO_DATA);\n 278→ // Cell 30 (index 2) should have offset after cell 10's data\n 279→ uint32_t expected_30 = sizeof(uint16_t) + 2 * sizeof(uint32_t); // count(2) + 2 items\n 280→ ASSERT_EQ(offsets[2], expected_30);\n 281→ // Cell 40 (index 3) has no items\n 282→ ASSERT_EQ(offsets[3], NO_DATA);\n 283→ // Cell 50 (index 4) should have offset after cells 10+30\n 284→ uint32_t expected_50 = expected_30 + sizeof(uint16_t) + 1 * sizeof(uint32_t);\n 285→ ASSERT_EQ(offsets[4], expected_50);\n 286→ PASS();\n 287→}\n 288→\n 289→void test_ring_area_computation() {\n 290→ TEST(\"ring area computation (shoelace formula)\");\n 291→ // Unit square: area should be 1.0\n 292→ std::vector> square = {\n 293→ {0, 0}, {1, 0}, {1, 1}, {0, 1}, {0, 0}\n 294→ };\n 295→ double area = 0;\n 296→ for (size_t i = 0, n = square.size(); i < n; i++) {\n 297→ size_t j = (i + 1) % n;\n 298→ area += square[i].first * square[j].second;\n 299→ area -= square[j].first * square[i].second;\n 300→ }\n 301→ area = std::abs(area) / 2.0;\n 302→ ASSERT_TRUE(std::abs(area - 1.0) < 1e-10);\n 303→ PASS();\n 304→}\n 305→\n 306→// --- Main ---\n 307→\n 308→int main() {\n 309→ std::cerr << \"Running ring assembly unit tests...\" << std::endl;\n 310→\n 311→ test_coord_key_basic();\n 312→ test_coord_key_split_nodes();\n 313→ test_coord_key_negative_coords();\n 314→ test_self_intersection_simple_square();\n 315→ test_self_intersection_bowtie();\n 316→ test_duplicate_coords_detection();\n 317→ test_no_duplicate_coords_simple_ring();\n 318→ test_border_line_name_pattern();\n 319→ test_string_separator_bug();\n 320→ test_cell_item_pair_sorting();\n 321→ test_parallel_merge_join_correctness();\n 322→ test_ring_area_computation();\n 323→\n 324→ std::cerr << std::endl;\n 325→ std::cerr 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lock(mutex_);\n 206→ my_idx = thread_results_.size();\n 207→ thread_results_.emplace_back();\n 208→ }\n 209→\n 210→ while (true) {\n 211→ WorkItem item;\n 212→ {\n 213→ std::unique_lock lock(mutex_);\n 214→ cv_.wait(lock, [this]() { return stop_ || !queue_.empty(); });\n 215→ if (stop_ && queue_.empty()) return;\n 216→ item = std::move(queue_.front());\n 217→ queue_.pop_front();\n 218→ active_workers_++;\n 219→ }\n 220→\n 221→ // Compute S2 covering (no locks needed — pure computation)\n 222→ auto cell_ids = cover_polygon(item.vertices);\n 223→ auto& local = thread_results_[my_idx];\n 224→ for (const auto& [cell_id, is_interior] : cell_ids) {\n 225→ uint32_t entry = is_interior ? (item.poly_id | INTERIOR_FLAG) : item.poly_id;\n 226→ local[cell_id.id()].push_back(entry);\n 227→ }\n 228→\n 229→ {\n 230→ std::lock_guard lock(mutex_);\n 231→ active_workers_--;\n 232→ }\n 233→ done_cv_.notify_all();\n 234→ }\n 235→ }\n 236→\n 237→ std::vector workers_;\n 238→ std::deque queue_;\n 239→ std::vector>> thread_results_;\n 240→ std::mutex mutex_;\n 241→ std::condition_variable cv_;\n 242→ std::condition_variable done_cv_;\n 243→ size_t active_workers_ = 0;\n 244→ bool stop_;\n 245→};\n 246→\n 247→// --- Parsed data container ---\n 248→\n 249→// Sorted cell-item pair for direct entry writing (avoids hash map)\n 250→struct CellItemPair { uint64_t cell_id; uint32_t item_id; };\n 251→\n 252→struct ParsedData {\n 253→ StringPool string_pool;\n 254→ std::vector ways;\n 255→ std::vector street_nodes;\n 256→ std::unordered_map> cell_to_ways;\n 257→ std::vector addr_points;\n 258→ std::unordered_map> cell_to_addrs;\n 259→ std::vector interp_ways;\n 260→ std::vector interp_nodes;\n 261→ std::unordered_map> cell_to_interps;\n 262→ std::vector admin_polygons;\n 263→ std::vector admin_vertices;\n 264→ std::unordered_map> cell_to_admin;\n 265→\n 266→ // Deferred work for parallel S2 computation (ways + interps)\n 267→ std::vector deferred_ways;\n 268→ std::vector deferred_interps;\n 269→\n 270→ // Sorted (cell_id, item_id) pairs — kept for direct entry writing\n 271→ std::vector sorted_way_cells;\n 272→ std::vector sorted_addr_cells;\n 273→\n 274→ // Collected data for parallel admin assembly\n 275→ std::vector collected_relations;\n 276→ struct WayGeometry {\n 277→ std::vector> coords;\n 278→ int64_t first_node_id;\n 279→ int64_t last_node_id;\n 280→ };\n 281→ std::unordered_map way_geometries;\n 282→};\n 283→\n 284→// --- S2 helpers ---\n 285→\n 286→static int kStreetCellLevel = 17;\n 287→static int kAdminCellLevel = 10;\n 288→static int kMaxAdminLevel = 0; // 0 means no filtering\n 289→\n 290→// Fast cover_edge: compute cells covered by a line segment.\n 291→// Fast path for short edges (same cell or adjacent) avoids S2RegionCoverer entirely.\n 292→// ~80% of street edges are within 1-2 cells, so this eliminates most S2 library calls.\n 293→static void cover_edge(double lat1, double lng1, double lat2, double lng2,\n 294→ std::vector& out) {\n 295→ out.clear();\n 296→\n 297→ // Fast: compute cell IDs directly from coordinates\n 298→ S2CellId c1 = S2CellId(S2LatLng::FromDegrees(lat1, lng1)).parent(kStreetCellLevel);\n 299→ S2CellId c2 = S2CellId(S2LatLng::FromDegrees(lat2, lng2)).parent(kStreetCellLevel);\n 300→\n 301→ // Same cell — most common case for short edges\n 302→ if (c1 == c2) {\n 303→ out.push_back(c1);\n 304→ return;\n 305→ }\n 306→\n 307→ // Adjacent cells — check midpoint\n 308→ S2CellId cm = S2CellId(S2LatLng::FromDegrees((lat1+lat2)/2, (lng1+lng2)/2)).parent(kStreetCellLevel);\n 309→ if (cm == c1 || cm == c2) {\n 310→ out.push_back(c1);\n 311→ out.push_back(c2);\n 312→ return;\n 313→ }\n 314→\n 315→ // Longer edge — use S2RegionCoverer for correctness (handles geodesic curves)\n 316→ thread_local S2RegionCoverer coverer = []() {\n 317→ S2RegionCoverer::Options options;\n 318→ options.set_fixed_level(kStreetCellLevel);\n 319→ return S2RegionCoverer(options);\n 320→ }();\n 321→\n 322→ S2Point p1 = S2LatLng::FromDegrees(lat1, lng1).ToPoint();\n 323→ S2Point p2 = S2LatLng::FromDegrees(lat2, lng2).ToPoint();\n 324→ if (p1 == p2) { out.push_back(c1); return; }\n 325→\n 326→ std::vector points = {p1, p2};\n 327→ S2Polyline polyline(points);\n 328→ S2CellUnion covering = coverer.GetCovering(polyline);\n 329→ out = std::move(covering.cell_ids());\n 330→}\n 331→\n 332→// Legacy overload for code that still uses return-by-value\n 333→static std::vector cover_edge(double lat1, double lng1, double lat2, double lng2) {\n 334→ std::vector result;\n 335→ cover_edge(lat1, lng1, lat2, lng2, result);\n 336→ return result;\n 337→}\n 338→\n 339→static S2CellId point_to_cell(double lat, double lng) {\n 340→ return S2CellId(S2LatLng::FromDegrees(lat, lng)).parent(kStreetCellLevel);\n 341→}\n 342→\n 343→// Approximate polygon area in square degrees\n 344→static float polygon_area(const std::vector>& vertices) {\n 345→ double area = 0;\n 346→ size_t n = vertices.size();\n 347→ for (size_t i = 0; i < n; i++) {\n 348→ size_t j = (i + 1) % n;\n 349→ area += vertices[i].first * vertices[j].second;\n 350→ area -= vertices[j].first * vertices[i].second;\n 351→ }\n 352→ return static_cast(std::fabs(area) / 2.0);\n 353→}\n 354→\n 355→// Returns pairs of (cell_id, is_interior)\n 356→static std::vector> cover_polygon(const std::vector>& vertices) {\n 357→ std::vector points;\n 358→ points.reserve(vertices.size());\n 359→ for (const auto& [lat, lng] : vertices) {\n 360→ S2Point p = S2LatLng::FromDegrees(lat, lng).ToPoint();\n 361→ if (!points.empty() && points.back() == p) continue;\n 362→ points.push_back(p);\n 363→ }\n 364→ // Remove closing duplicate if first == last\n 365→ if (points.size() > 1 && points.front() == points.back()) {\n 366→ points.pop_back();\n 367→ }\n 368→ if (points.size() < 3) return {};\n 369→\n 370→ // Build S2Loop (must be CCW), skip invalid polygons\n 371→ S2Error error;\n 372→ auto loop = std::make_unique(points, S2Debug::DISABLE);\n 373→ loop->Normalize();\n 374→ if (loop->FindValidationError(&error)) return {};\n 375→\n 376→ S2Polygon polygon(std::move(loop));\n 377→\n 378→ S2RegionCoverer::Options options;\n 379→ options.set_max_level(kAdminCellLevel);\n 380→ options.set_max_cells(200);\n 381→\n 382→ S2RegionCoverer coverer(options);\n 383→ S2CellUnion covering = coverer.GetCovering(polygon);\n 384→ S2CellUnion interior = coverer.GetInteriorCovering(polygon);\n 385→\n 386→ // Build set of interior cell IDs for fast lookup\n 387→ std::unordered_set interior_set;\n 388→ for (const auto& cell : interior.cell_ids()) {\n 389→ if (cell.level() <= kAdminCellLevel) {\n 390→ auto begin = cell.range_min().parent(kAdminCellLevel);\n 391→ auto end = cell.range_max().parent(kAdminCellLevel);\n 392→ for (auto c = begin; c != end; c = c.next()) {\n 393→ interior_set.insert(c.id());\n 394→ }\n 395→ interior_set.insert(end.id());\n 396→ } else {\n 397→ interior_set.insert(cell.parent(kAdminCellLevel).id());\n 398→ }\n 399→ }\n 400→\n 401→ // Normalize all covering cells to kAdminCellLevel\n 402→ std::vector> result;\n 403→ for (const auto& cell : covering.cell_ids()) {\n 404→ if (cell.level() <= kAdminCellLevel) {\n 405→ auto begin = cell.range_min().parent(kAdminCellLevel);\n 406→ auto end = cell.range_max().parent(kAdminCellLevel);\n 407→ for (auto c = begin; c != end; c = c.next()) {\n 408→ result.emplace_back(c, interior_set.count(c.id()) > 0);\n 409→ }\n 410→ result.emplace_back(end, interior_set.count(end.id()) > 0);\n 411→ } else {\n 412→ auto parent = cell.parent(kAdminCellLevel);\n 413→ result.emplace_back(parent, interior_set.count(parent.id()) > 0);\n 414→ }\n 415→ }\n 416→\n 417→ // Deduplicate by cell_id, keeping interior=true if any duplicate is interior\n 418→ std::sort(result.begin(), result.end(), [](const auto& a, const auto& b) {\n 419→ return a.first < b.first;\n 420→ });\n 421→ auto it = result.begin();\n 422→ for (auto curr = result.begin(); curr != result.end(); ) {\n 423→ auto next = curr + 1;\n 424→ bool is_interior = curr->second;\n 425→ while (next != result.end() && next->first == curr->first) {\n 426→ is_interior = is_interior || next->second;\n 427→ ++next;\n 428→ }\n 429→ *it = {curr->first, is_interior};\n 430→ ++it;\n 431→ curr = next;\n 432→ }\n 433→ result.erase(it, result.end());\n 434→ return result;\n 435→}\n 436→\n 437→// --- Douglas-Peucker simplification ---\n 438→\n 439→static void dp_simplify(const std::vector>& pts,\n 440→ size_t start, size_t end, double epsilon,\n 441→ std::vector& keep) {\n 442→ if (end <= start + 1) return;\n 443→\n 444→ double max_dist = 0;\n 445→ size_t max_idx = start;\n 446→\n 447→ double ax = pts[start].first, ay = pts[start].second;\n 448→ double bx = pts[end].first, by = pts[end].second;\n 449→ double dx = bx - ax, dy = by - ay;\n 450→ double len_sq = dx * dx + dy * dy;\n 451→\n 452→ for (size_t i = start + 1; i < end; i++) {\n 453→ double px = pts[i].first - ax, py = pts[i].second - ay;\n 454→ double dist;\n 455→ if (len_sq == 0) {\n 456→ dist = std::sqrt(px * px + py * py);\n 457→ } else {\n 458→ double t = std::max(0.0, std::min(1.0, (px * dx + py * dy) / len_sq));\n 459→ double proj_x = t * dx - px, proj_y = t * dy - py;\n 460→ dist = std::sqrt(proj_x * proj_x + proj_y * proj_y);\n 461→ }\n 462→ if (dist > max_dist) {\n 463→ max_dist = dist;\n 464→ max_idx = i;\n 465→ }\n 466→ }\n 467→\n 468→ if (max_dist > epsilon) {\n 469→ keep[max_idx] = true;\n 470→ dp_simplify(pts, start, max_idx, epsilon, keep);\n 471→ dp_simplify(pts, max_idx, end, epsilon, keep);\n 472→ }\n 473→}\n 474→\n 475→static std::vector> simplify_polygon(\n 476→ const std::vector>& pts, size_t max_vertices) {\n 477→ if (pts.size() <= max_vertices) return pts;\n 478→\n 479→ // Binary search for epsilon that gives ~max_vertices\n 480→ double lo = 0, hi = 1.0;\n 481→ std::vector> result;\n 482→\n 483→ for (int iter = 0; iter < 20; iter++) {\n 484→ double epsilon = (lo + hi) / 2;\n 485→ std::vector keep(pts.size(), false);\n 486→ keep[0] = true;\n 487→ keep[pts.size() - 1] = true;\n 488→ dp_simplify(pts, 0, pts.size() - 1, epsilon, keep);\n 489→\n 490→ size_t count = 0;\n 491→ for (bool k : keep) if (k) count++;\n 492→\n 493→ if (count > max_vertices) {\n 494→ lo = epsilon;\n 495→ } else {\n 496→ hi = epsilon;\n 497→ }\n 498→ }\n 499→\n 500→ std::vector keep(pts.size(), false);\n 501→ keep[0] = true;\n 502→ keep[pts.size() - 1] = true;\n 503→ dp_simplify(pts, 0, pts.size() - 1, hi, keep);\n 504→\n 505→ result.clear();\n 506→ for (size_t i = 0; i < pts.size(); i++) {\n 507→ if (keep[i]) result.push_back(pts[i]);\n 508→ }\n 509→ return result;\n 510→}\n 511→\n 512→// --- Ring self-intersection check (matches osmium's segment crossing detection) ---\n 513→\n 514→static bool segments_intersect(double ax1, double ay1, double ax2, double ay2,\n 515→ double bx1, double by1, double bx2, double by2) {\n 516→ // Check if segment (a1,a2) crosses segment (b1,b2)\n 517→ // Using cross product orientation test\n 518→ auto cross = [](double ox, double oy, double ax, double ay, double bx, double by) -> double {\n 519→ return (ax - ox) * (by - oy) - (ay - oy) * (bx - ox);\n 520→ };\n 521→ double d1 = cross(bx1, by1, bx2, by2, ax1, ay1);\n 522→ double d2 = cross(bx1, by1, bx2, by2, ax2, ay2);\n 523→ double d3 = cross(ax1, ay1, ax2, ay2, bx1, by1);\n 524→ double d4 = cross(ax1, ay1, ax2, ay2, bx2, by2);\n 525→ if (((d1 > 0 && d2 < 0) || (d1 < 0 && d2 > 0)) &&\n 526→ ((d3 > 0 && d4 < 0) || (d3 < 0 && d4 > 0))) {\n 527→ return true;\n 528→ }\n 529→ return false;\n 530→}\n 531→\n 532→static bool ring_has_self_intersection(const std::vector>& ring) {\n 533→ // Sweep-line inspired check: sort segments by min-x, then only check\n 534→ // overlapping x-ranges. Much faster than O(n²) for large rings.\n 535→ size_t n = ring.size();\n 536→ if (n < 4) return false;\n 537→\n 538→ // For small rings, brute force is fine\n 539→ if (n <= 32) {\n 540→ for (size_t i = 0; i + 1 < n; i++) {\n 541→ for (size_t j = i + 2; j + 1 < n; j++) {\n 542→ if (j == i + 1 || (i == 0 && j == n - 2)) continue;\n 543→ if (segments_intersect(ring[i].first, ring[i].second,\n 544→ ring[i+1].first, ring[i+1].second,\n 545→ ring[j].first, ring[j].second,\n 546→ ring[j+1].first, ring[j+1].second))\n 547→ return true;\n 548→ }\n 549→ }\n 550→ return false;\n 551→ }\n 552→\n 553→ // For larger rings, sort segments by min-x and prune non-overlapping\n 554→ struct Seg { double min_x, max_x; size_t idx; };\n 555→ std::vector segs(n - 1);\n 556→ for (size_t i = 0; i + 1 < n; i++) {\n 557→ double x1 = ring[i].second, x2 = ring[i+1].second; // use lng as x\n 558→ segs[i] = {std::min(x1,x2), std::max(x1,x2), i};\n 559→ }\n 560→ std::sort(segs.begin(), segs.end(), [](const Seg& a, const Seg& b) {\n 561→ return a.min_x < b.min_x;\n 562→ });\n 563→\n 564→ for (size_t a = 0; a + 1 < segs.size(); a++) {\n 565→ for (size_t b = a + 1; b < segs.size(); b++) {\n 566→ if (segs[b].min_x > segs[a].max_x) break; // no more x-overlap\n 567→ size_t i = segs[a].idx, j = segs[b].idx;\n 568→ // Skip adjacent segments\n 569→ if (j == i + 1 || i == j + 1) continue;\n 570→ if ((i == 0 && j == n - 2) || (j == 0 && i == n - 2)) continue;\n 571→ if (segments_intersect(ring[i].first, ring[i].second,\n 572→ ring[i+1].first, ring[i+1].second,\n 573→ ring[j].first, ring[j].second,\n 574→ ring[j+1].first, ring[j+1].second))\n 575→ return true;\n 576→ }\n 577→ }\n 578→ return false;\n 579→}\n 580→\n 581→// Check if a ring has duplicate coordinates (spikes/figure-8 from merged holes)\n 582→// A valid simple polygon visits each coordinate exactly once (except closing point).\n 583→static bool ring_has_duplicate_coords(const std::vector>& ring,\n 584→ decltype(std::function()) coord_key_fn) {\n 585→ std::unordered_set seen;\n 586→ for (size_t i = 0; i + 1 < ring.size(); i++) { // skip closing point\n 587→ int64_t k = coord_key_fn(ring[i].first, ring[i].second);\n 588→ if (!seen.insert(k).second) return true; // duplicate\n 589→ }\n 590→ return false;\n 591→}\n 592→\n 593→// --- Parallel admin: assemble outer rings from collected way geometries ---\n 594→\n 595→static std::vector>> assemble_outer_rings(\n 596→ const std::vector>& members,\n 597→ const std::unordered_map& way_geoms,\n 598→ bool include_all_roles = false)\n 599→{"}]},"uuid":"f7a600a3-f8be-4e4c-84b2-a40e9163df01","timestamp":"2026-03-23T10:04:11.028Z","sourceToolAssistantUUID":"6cade80d-45ec-4efd-a57b-8a8a1aa69b25","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"f7a600a3-f8be-4e4c-84b2-a40e9163df01","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_012PeU9v7FZxZun96eWR88dB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011NiEddqsd9HRKbDK9hoxdZ","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/test/test_integration.sh"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9542,"cache_read_input_tokens":7757,"cache_creation":{"ephemeral_5m_input_tokens":9542,"ephemeral_1h_input_tokens":0},"output_tokens":40,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZKpeETVsRr6cURsMB3Kp","type":"assistant","uuid":"a1804386-a75e-4c7e-93c8-f1546c26d466","timestamp":"2026-03-23T10:04:11.298Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"a1804386-a75e-4c7e-93c8-f1546c26d466","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_011NiEddqsd9HRKbDK9hoxdZ","toolUseID":"toolu_011NiEddqsd9HRKbDK9hoxdZ","timestamp":"2026-03-23T10:04:11.308Z","uuid":"c89daafc-d361-4c21-8b25-4dd211565fe6","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"a1804386-a75e-4c7e-93c8-f1546c26d466","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011NiEddqsd9HRKbDK9hoxdZ","type":"tool_result","content":" 1→#!/bin/bash\n 2→# Integration test: build Monaco PBF with both parallel and sequential\n 3→# admin assembly, verify identical output for ways/addrs/interps,\n 4→# and check admin polygon counts are within expected range.\n 5→#\n 6→# Usage: ./test_integration.sh [monaco.osm.pbf]\n 7→#\n 8→# Downloads Monaco PBF if not provided.\n 9→\n 10→set -e\n 11→\n 12→BINARY=\"${1:?Usage: $0 [monaco.osm.pbf]}\"\n 13→PBF=\"${2:-}\"\n 14→COMPARE=\"${3:-}\"\n 15→TMPDIR=$(mktemp -d)\n 16→\n 17→cleanup() { rm -rf \"$TMPDIR\"; }\n 18→trap cleanup EXIT\n 19→\n 20→# Download Monaco if needed\n 21→if [ -z \"$PBF\" ]; then\n 22→ echo \"Downloading Monaco PBF...\"\n 23→ wget -q -O \"$TMPDIR/monaco.osm.pbf\" \"https://download.geofabrik.de/europe/monaco-latest.osm.pbf\"\n 24→ PBF=\"$TMPDIR/monaco.osm.pbf\"\n 25→fi\n 26→\n 27→# Build compare tool if not provided\n 28→if [ -z \"$COMPARE\" ]; then\n 29→ COMPARE=\"$TMPDIR/compare_indexes\"\n 30→ SCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n 31→ echo \"Building comparison tool...\"\n 32→ g++ -O2 -std=c++17 -o \"$COMPARE\" \"$SCRIPT_DIR/compare_indexes.cpp\"\n 33→fi\n 34→\n 35→echo \"=== Integration Test ===\"\n 36→echo \"Binary: $BINARY\"\n 37→echo \"PBF: $PBF\"\n 38→echo \"\"\n 39→\n 40→# Test 1: Build with parallel admin assembly\n 41→echo \"--- Test 1: Parallel admin assembly ---\"\n 42→mkdir -p \"$TMPDIR/parallel\"\n 43→\"$BINARY\" \"$TMPDIR/parallel\" \"$PBF\" --parallel-admin 2>&1 | grep -E 'polygon|Done|street ways|address'\n 44→\n 45→# Test 2: Build with sequential admin assembly\n 46→echo \"\"\n 47→echo \"--- Test 2: Sequential admin assembly ---\"\n 48→mkdir -p \"$TMPDIR/sequential\"\n 49→\"$BINARY\" \"$TMPDIR/sequential\" \"$PBF\" --no-parallel-admin 2>&1 | grep -E 'polygon|Done|street ways|address'\n 50→\n 51→# Test 3: Compare outputs\n 52→echo \"\"\n 53→echo \"--- Test 3: Exact comparison ---\"\n 54→\"$COMPARE\" \"$TMPDIR/parallel\" \"$TMPDIR/sequential\" 2>&1\n 55→\n 56→# Test 4: Semantic comparison\n 57→echo \"\"\n 58→echo \"--- Test 4: Semantic comparison ---\"\n 59→\"$COMPARE\" \"$TMPDIR/parallel\" \"$TMPDIR/sequential\" --semantic 2>&1\n 60→\n 61→# Test 5: Verify all index files exist\n 62→echo \"\"\n 63→echo \"--- Test 5: Index files present ---\"\n 64→EXPECTED_FILES=\"admin_cells.bin admin_entries.bin admin_polygons.bin admin_vertices.bin \\\n 65→addr_entries.bin addr_points.bin geo_cells.bin interp_entries.bin interp_nodes.bin \\\n 66→interp_ways.bin street_entries.bin street_nodes.bin street_ways.bin strings.bin\"\n 67→ALL_PRESENT=true\n 68→for f in $EXPECTED_FILES; do\n 69→ if [ ! -f \"$TMPDIR/parallel/$f\" ]; then\n 70→ echo \"MISSING: $f\"\n 71→ ALL_PRESENT=false\n 72→ fi\n 73→done\n 74→if $ALL_PRESENT; then\n 75→ echo \"All 14 index files present.\"\n 76→fi\n 77→\n 78→# Test 6: Verify files are non-empty (except interp which can be empty for Monaco)\n 79→echo \"\"\n 80→echo \"--- Test 6: Non-empty files ---\"\n 81→for f in admin_cells.bin admin_polygons.bin geo_cells.bin street_ways.bin street_nodes.bin addr_points.bin strings.bin; do\n 82→ SIZE=$(stat --format='%s' \"$TMPDIR/parallel/$f\" 2>/dev/null || echo 0)\n 83→ if [ \"$SIZE\" -eq 0 ]; then\n 84→ echo \"FAIL: $f is empty\"\n 85→ ALL_PRESENT=false\n 86→ fi\n 87→done\n 88→if $ALL_PRESENT; then\n 89→ echo \"All required files non-empty.\"\n 90→fi\n 91→\n 92→echo \"\"\n 93→echo \"=== Integration test complete ===\"\n 94→"}]},"uuid":"2b0767c9-babf-4919-85ea-751afd353a55","timestamp":"2026-03-23T10:04:11.307Z","sourceToolAssistantUUID":"a1804386-a75e-4c7e-93c8-f1546c26d466","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"2b0767c9-babf-4919-85ea-751afd353a55","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_012PeU9v7FZxZun96eWR88dB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01G9hweExk9vcwnimHfA1LDJ","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/test/test_admin_assembly.sh"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9542,"cache_read_input_tokens":7757,"output_tokens":212,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":9542},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpeETVsRr6cURsMB3Kp","type":"assistant","uuid":"8919c1e1-8f9e-4ee7-a798-48f674487621","timestamp":"2026-03-23T10:04:11.403Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"8919c1e1-8f9e-4ee7-a798-48f674487621","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01G9hweExk9vcwnimHfA1LDJ","toolUseID":"toolu_01G9hweExk9vcwnimHfA1LDJ","timestamp":"2026-03-23T10:04:11.420Z","uuid":"0aec35c3-d9a9-4541-8140-f6ddbda1a414","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"8919c1e1-8f9e-4ee7-a798-48f674487621","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G9hweExk9vcwnimHfA1LDJ","type":"tool_result","content":" 1→#!/bin/bash\n 2→# Test that admin boundary processing produces identical output\n 3→# regardless of whether osmium's multipolygon assembler or our\n 4→# custom parallel assembler is used.\n 5→#\n 6→# Usage: ./test_admin_assembly.sh \n 7→#\n 8→# Downloads Monaco PBF if no test file provided.\n 9→\n 10→set -e\n 11→\n 12→BINARY=\"${1:?Usage: $0 [test.osm.pbf]}\"\n 13→PBF=\"${2:-}\"\n 14→TMPDIR=$(mktemp -d)\n 15→\n 16→cleanup() { rm -rf \"$TMPDIR\"; }\n 17→trap cleanup EXIT\n 18→\n 19→# Download Monaco PBF if none provided\n 20→if [ -z \"$PBF\" ]; then\n 21→ PBF=\"$TMPDIR/monaco.osm.pbf\"\n 22→ echo \"Downloading Monaco PBF...\"\n 23→ curl -fSL -o \"$PBF\" \"https://download.geofabrik.de/europe/monaco-latest.osm.pbf\" 2>/dev/null\n 24→fi\n 25→\n 26→echo \"=== Test 1: Full build produces valid output ===\"\n 27→mkdir -p \"$TMPDIR/full\"\n 28→\"$BINARY\" \"$TMPDIR/full\" \"$PBF\" > \"$TMPDIR/full.log\" 2>&1\n 29→echo \"Full build: $(ls \"$TMPDIR/full/\"*.bin | wc -l) files\"\n 30→\n 31→# Check all expected files exist\n 32→for f in geo_cells street_entries street_ways street_nodes addr_entries addr_points \\\n 33→ interp_entries interp_ways interp_nodes admin_cells admin_entries \\\n 34→ admin_polygons admin_vertices strings; do\n 35→ if [ ! -f \"$TMPDIR/full/${f}.bin\" ]; then\n 36→ echo \"FAIL: missing $f.bin\"\n 37→ exit 1\n 38→ fi\n 39→done\n 40→echo \"PASS: All 14 index files present\"\n 41→\n 42→# Check admin data is non-empty\n 43→ADMIN_SIZE=$(stat -c%s \"$TMPDIR/full/admin_polygons.bin\" 2>/dev/null || stat -f%z \"$TMPDIR/full/admin_polygons.bin\")\n 44→if [ \"$ADMIN_SIZE\" -eq 0 ]; then\n 45→ echo \"FAIL: admin_polygons.bin is empty\"\n 46→ exit 1\n 47→fi\n 48→echo \"PASS: admin_polygons.bin is ${ADMIN_SIZE} bytes\"\n 49→\n 50→ADMIN_VERTS=$(stat -c%s \"$TMPDIR/full/admin_vertices.bin\" 2>/dev/null || stat -f%z \"$TMPDIR/full/admin_vertices.bin\")\n 51→echo \"PASS: admin_vertices.bin is ${ADMIN_VERTS} bytes\"\n 52→\n 53→echo \"\"\n 54→echo \"=== Test 2: Multi-output produces all 3 modes ===\"\n 55→mkdir -p \"$TMPDIR/multi\"\n 56→\"$BINARY\" \"$TMPDIR/multi\" \"$PBF\" --multi-output > \"$TMPDIR/multi.log\" 2>&1\n 57→\n 58→for mode in full no-addresses admin-only; do\n 59→ if [ ! -d \"$TMPDIR/multi/$mode\" ]; then\n 60→ echo \"FAIL: missing $mode directory\"\n 61→ exit 1\n 62→ fi\n 63→ if [ ! -f \"$TMPDIR/multi/$mode/admin_cells.bin\" ]; then\n 64→ echo \"FAIL: missing $mode/admin_cells.bin\"\n 65→ exit 1\n 66→ fi\n 67→done\n 68→echo \"PASS: All 3 output modes present\"\n 69→\n 70→# Admin data should be identical across all modes\n 71→for f in admin_cells admin_entries admin_polygons admin_vertices; do\n 72→ if ! diff -q \"$TMPDIR/multi/full/${f}.bin\" \"$TMPDIR/multi/no-addresses/${f}.bin\" > /dev/null 2>&1; then\n 73→ echo \"FAIL: ${f}.bin differs between full and no-addresses\"\n 74→ exit 1\n 75→ fi\n 76→ if ! diff -q \"$TMPDIR/multi/full/${f}.bin\" \"$TMPDIR/multi/admin-only/${f}.bin\" > /dev/null 2>&1; then\n 77→ echo \"FAIL: ${f}.bin differs between full and admin-only\"\n 78→ exit 1\n 79→ fi\n 80→done\n 81→echo \"PASS: Admin data identical across all modes\"\n 82→\n 83→# Full mode should have geo files, admin-only should not\n 84→if [ ! -f \"$TMPDIR/multi/full/geo_cells.bin\" ]; then\n 85→ echo \"FAIL: full mode missing geo_cells.bin\"\n 86→ exit 1\n 87→fi\n 88→if [ -f \"$TMPDIR/multi/admin-only/geo_cells.bin\" ]; then\n 89→ echo \"FAIL: admin-only mode should not have geo_cells.bin\"\n 90→ exit 1\n 91→fi\n 92→echo \"PASS: Correct files per mode\"\n 93→\n 94→echo \"\"\n 95→echo \"=== Test 3: Cache round-trip produces identical output ===\"\n 96→mkdir -p \"$TMPDIR/cached\"\n 97→\"$BINARY\" \"$TMPDIR/cached\" \"$PBF\" --save-cache \"$TMPDIR/test.cache\" > \"$TMPDIR/cached.log\" 2>&1\n 98→\n 99→mkdir -p \"$TMPDIR/from-cache\"\n 100→\"$BINARY\" \"$TMPDIR/from-cache\" --load-cache \"$TMPDIR/test.cache\" > \"$TMPDIR/from-cache.log\" 2>&1\n 101→\n 102→DIFF_COUNT=0\n 103→for f in \"$TMPDIR/cached/\"*.bin; do\n 104→ fname=$(basename \"$f\")\n 105→ if ! diff -q \"$f\" \"$TMPDIR/from-cache/$fname\" > /dev/null 2>&1; then\n 106→ echo \"FAIL: $fname differs between direct and cache-loaded build\"\n 107→ DIFF_COUNT=$((DIFF_COUNT + 1))\n 108→ fi\n 109→done\n 110→if [ \"$DIFF_COUNT\" -eq 0 ]; then\n 111→ echo \"PASS: Cache round-trip produces identical output\"\n 112→else\n 113→ echo \"FAIL: $DIFF_COUNT files differ\"\n 114→ exit 1\n 115→fi\n 116→\n 117→echo \"\"\n 118→echo \"=== Test 4: Continent filtering produces valid subsets ===\"\n 119→mkdir -p \"$TMPDIR/continents\"\n 120→\"$BINARY\" \"$TMPDIR/continents\" \"$PBF\" --continents > \"$TMPDIR/continents.log\" 2>&1\n 121→\n 122→# Monaco is in Europe — check that europe has admin data\n 123→if [ -d \"$TMPDIR/continents/europe\" ]; then\n 124→ EUR_ADMIN=$(stat -c%s \"$TMPDIR/continents/europe/admin_polygons.bin\" 2>/dev/null || stat -f%z \"$TMPDIR/continents/europe/admin_polygons.bin\")\n 125→ if [ \"$EUR_ADMIN\" -gt 0 ]; then\n 126→ echo \"PASS: Europe continent has admin data (${EUR_ADMIN} bytes)\"\n 127→ else\n 128→ echo \"FAIL: Europe continent admin_polygons.bin is empty\"\n 129→ exit 1\n 130→ fi\n 131→else\n 132→ echo \"WARN: No europe directory (Monaco may not match bounding box)\"\n 133→fi\n 134→\n 135→echo \"\"\n 136→echo \"=== Test 5: Admin boundary data integrity ===\"\n 137→# Verify admin polygon struct sizes are consistent\n 138→# AdminPolygon is 24 bytes, NodeCoord is 8 bytes\n 139→POLY_SIZE=$(stat -c%s \"$TMPDIR/full/admin_polygons.bin\" 2>/dev/null || stat -f%z \"$TMPDIR/full/admin_polygons.bin\")\n 140→VERT_SIZE=$(stat -c%s \"$TMPDIR/full/admin_vertices.bin\" 2>/dev/null || stat -f%z \"$TMPDIR/full/admin_vertices.bin\")\n 141→\n 142→POLY_COUNT=$((POLY_SIZE / 24))\n 143→VERT_COUNT=$((VERT_SIZE / 8))\n 144→\n 145→if [ $((POLY_SIZE % 24)) -ne 0 ]; then\n 146→ echo \"FAIL: admin_polygons.bin size ($POLY_SIZE) not divisible by 24\"\n 147→ exit 1\n 148→fi\n 149→if [ $((VERT_SIZE % 8)) -ne 0 ]; then\n 150→ echo \"FAIL: admin_vertices.bin size ($VERT_SIZE) not divisible by 8\"\n 151→ exit 1\n 152→fi\n 153→echo \"PASS: $POLY_COUNT polygons, $VERT_COUNT vertices (struct alignment correct)\"\n 154→\n 155→echo \"\"\n 156→echo \"=== ALL TESTS PASSED ===\"\n 157→"}]},"uuid":"b442c033-9fa8-44f2-91a7-cc978d3479c8","timestamp":"2026-03-23T10:04:11.420Z","sourceToolAssistantUUID":"8919c1e1-8f9e-4ee7-a798-48f674487621","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"b442c033-9fa8-44f2-91a7-cc978d3479c8","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01U1mRsRMmC529b9wTEmhCNj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SZJxTYN4Mu6tQuoaZNdZ4g","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/src/build_index.cpp","offset":599,"limit":500},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":10530,"cache_read_input_tokens":17299,"output_tokens":104,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":10530},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpea8Rw5YPcvsfDjYnz","type":"assistant","uuid":"435e0b42-bb86-44f9-9dda-74fe8d5a88f4","timestamp":"2026-03-23T10:04:15.693Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"435e0b42-bb86-44f9-9dda-74fe8d5a88f4","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01SZJxTYN4Mu6tQuoaZNdZ4g","toolUseID":"toolu_01SZJxTYN4Mu6tQuoaZNdZ4g","timestamp":"2026-03-23T10:04:15.961Z","uuid":"d3f5b7c0-0bd4-47e0-bf4f-aff9264cd302","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"435e0b42-bb86-44f9-9dda-74fe8d5a88f4","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SZJxTYN4Mu6tQuoaZNdZ4g","type":"tool_result","content":" 599→{\n 600→ // Coordinate-based ring assembly: split ways at shared internal nodes,\n 601→ // then stitch sub-ways at endpoints with backtracking.\n 602→ // This matches osmium's segment-level approach.\n 603→\n 604→ // Coordinate key matching osmium's Location (int32_t nanodegrees)\n 605→ auto coord_key = [](double lat, double lng) -> int64_t {\n 606→ int32_t ilat = static_cast(lat * 1e7 + (lat >= 0 ? 0.5 : -0.5));\n 607→ int32_t ilng = static_cast(lng * 1e7 + (lng >= 0 ? 0.5 : -0.5));\n 608→ return (static_cast(ilat) << 32) | static_cast(ilng);\n 609→ };\n 610→\n 611→ // Collect coordinates from member ways.\n 612→ // First pass uses outer/empty-role ways only. If that produces 0 rings,\n 613→ // retry with ALL ways (matching osmium's check_roles=false fallback) —\n 614→ // inner ways sometimes bridge gaps between outer ways.\n 615→ std::unordered_map coord_count;\n 616→ std::vector>*> way_coords;\n 617→ for (const auto& [way_id, role] : members) {\n 618→ if (!include_all_roles && role != \"outer\" && !role.empty()) continue;\n 619→ auto it = way_geoms.find(way_id);\n 620→ if (it == way_geoms.end() || it->second.coords.empty()) continue;\n 621→ way_coords.push_back(&it->second.coords);\n 622→ for (const auto& [lat, lng] : it->second.coords) {\n 623→ coord_count[coord_key(lat, lng)]++;\n 624→ }\n 625→ }\n 626→\n 627→ // A coordinate is a \"split point\" if it appears in 2+ ways' node lists.\n 628→ // Endpoints always count, internal nodes that appear in multiple ways need splitting.\n 629→ // Also, all way endpoints are natural split points.\n 630→ std::unordered_set split_points;\n 631→ for (auto* coords : way_coords) {\n 632→ split_points.insert(coord_key(coords->front().first, coords->front().second));\n 633→ split_points.insert(coord_key(coords->back().first, coords->back().second));\n 634→ }\n 635→ for (auto& [ck, cnt] : coord_count) {\n 636→ if (cnt > 1) split_points.insert(ck);\n 637→ }\n 638→\n 639→ // Split each way at split points to create sub-ways\n 640→ struct SubWay {\n 641→ std::vector> coords;\n 642→ };\n 643→ std::vector sub_ways;\n 644→ for (auto* coords : way_coords) {\n 645→ size_t seg_start = 0;\n 646→ for (size_t i = 1; i < coords->size(); i++) {\n 647→ int64_t ck = coord_key((*coords)[i].first, (*coords)[i].second);\n 648→ if (split_points.count(ck) && i > seg_start) {\n 649→ // Create sub-way from seg_start to i (inclusive)\n 650→ SubWay sw;\n 651→ sw.coords.assign(coords->begin() + seg_start, coords->begin() + i + 1);\n 652→ if (sw.coords.size() >= 2) {\n 653→ sub_ways.push_back(std::move(sw));\n 654→ }\n 655→ seg_start = i;\n 656→ }\n 657→ }\n 658→ // Handle remaining segment (if not already added)\n 659→ if (seg_start < coords->size() - 1) {\n 660→ SubWay sw;\n 661→ sw.coords.assign(coords->begin() + seg_start, coords->end());\n 662→ if (sw.coords.size() >= 2) {\n 663→ sub_ways.push_back(std::move(sw));\n 664→ }\n 665→ }\n 666→ }\n 667→\n 668→ // Build adjacency by sub-way coordinate endpoints\n 669→ struct WayRef {\n 670→ int64_t way_id;\n 671→ const ParsedData::WayGeometry* geom; // unused for sub-ways\n 672→ };\n 673→ // We'll adapt the BacktrackState to work with sub_ways directly\n 674→ std::unordered_map>> coord_adj;\n 675→ for (size_t i = 0; i < sub_ways.size(); i++) {\n 676→ auto& first = sub_ways[i].coords.front();\n 677→ auto& last = sub_ways[i].coords.back();\n 678→ coord_adj[coord_key(first.first, first.second)].push_back({i, false});\n 679→ coord_adj[coord_key(last.first, last.second)].push_back({i, true});\n 680→ }\n 681→\n 682→ std::vector used(sub_ways.size(), false);\n 683→ std::vector>> rings;\n 684→\n 685→ // Ring closure: greedy first (fast), then full backtracking retry from\n 686→ // scratch if greedy left unused sub-ways. The second pass gets clean\n 687→ // used flags so backtracking makes optimal branch choices.\n 688→\n 689→ // Backtracking with depth limit (for fallback only)\n 690→ struct BacktrackState {\n 691→ const std::vector& sways;\n 692→ const std::unordered_map>>& adj;\n 693→ std::vector& used;\n 694→ decltype(coord_key)& key_fn;\n 695→ int calls;\n 696→\n 697→ bool try_close(int64_t first_key, int64_t last_key,\n 698→ std::vector>& path, int depth) {\n 699→ if (++calls > 100000) return false; // limit total work, not just depth\n 700→ if (!path.empty() && first_key == last_key) return true;\n 701→ if (depth > 200) return false;\n 702→\n 703→ auto it = adj.find(last_key);\n 704→ if (it == adj.end()) return false;\n 705→\n 706→ for (const auto& [wi, is_last] : it->second) {\n 707→ if (used[wi]) continue;\n 708→ auto& endpoint = is_last ? sways[wi].coords.front() : sways[wi].coords.back();\n 709→ int64_t new_key = key_fn(endpoint.first, endpoint.second);\n 710→\n 711→ used[wi] = true;\n 712→ path.push_back({wi, is_last});\n 713→\n 714→ if (try_close(first_key, new_key, path, depth + 1)) return true;\n 715→\n 716→ path.pop_back();\n 717→ used[wi] = false;\n 718→ }\n 719→ return false;\n 720→ }\n 721→ };\n 722→\n 723→ BacktrackState bt{sub_ways, coord_adj, used, coord_key, 0};\n 724→\n 725→ // Pass 1: Greedy (fast, O(n) per ring)\n 726→ for (size_t start_idx = 0; start_idx < sub_ways.size(); start_idx++) {\n 727→ if (used[start_idx]) continue;\n 728→\n 729→ const auto& sg = sub_ways[start_idx];\n 730→ int64_t first_key = coord_key(sg.coords.front().first, sg.coords.front().second);\n 731→ int64_t last_key = coord_key(sg.coords.back().first, sg.coords.back().second);\n 732→\n 733→ if (sg.coords.size() >= 4 && first_key == last_key) {\n 734→ used[start_idx] = true;\n 735→ rings.push_back(sg.coords);\n 736→ continue;\n 737→ }\n 738→\n 739→ used[start_idx] = true;\n 740→ std::vector attempt_used = {start_idx};\n 741→ std::vector> ring = sg.coords;\n 742→ int64_t current_last = last_key;\n 743→ bool extended = true;\n 744→ while (extended && current_last != first_key) {\n 745→ extended = false;\n 746→ auto it = coord_adj.find(current_last);\n 747→ if (it == coord_adj.end()) break;\n 748→ for (const auto& [wi, is_last] : it->second) {\n 749→ if (used[wi]) continue;\n 750→ const auto& sw = sub_ways[wi];\n 751→ bool reversed = is_last;\n 752→ auto& endpoint = reversed ? sw.coords.front() : sw.coords.back();\n 753→ used[wi] = true;\n 754→ attempt_used.push_back(wi);\n 755→ if (!reversed) ring.insert(ring.end(), sw.coords.begin() + 1, sw.coords.end());\n 756→ else for (auto rit = sw.coords.rbegin() + 1; rit != sw.coords.rend(); ++rit) ring.push_back(*rit);\n 757→ current_last = coord_key(endpoint.first, endpoint.second);\n 758→ extended = true;\n 759→ break;\n 760→ }\n 761→ }\n 762→ if (ring.size() >= 4 && current_last == first_key &&\n 763→ !ring_has_self_intersection(ring)) {\n 764→ rings.push_back(std::move(ring));\n 765→ } else {\n 766→ for (auto wi : attempt_used) used[wi] = false;\n 767→ }\n 768→ }\n 769→\n 770→ // Pass 2: If greedy left unused sub-ways, retry from scratch with backtracking.\n 771→ // Backtracking makes correct branch choices but is slower.\n 772→ {\n 773→ bool any_unused = false;\n 774→ for (size_t i = 0; i < used.size(); i++) {\n 775→ if (!used[i]) { any_unused = true; break; }\n 776→ }\n 777→ if (any_unused && sub_ways.size() <= 30) {\n 778→ // Only retry for small relations — large ones stall the build\n 779→ std::vector bt_used(sub_ways.size(), false);\n 780→ std::vector>> bt_rings;\n 781→\n 782→ BacktrackState bt2{sub_ways, coord_adj, bt_used, coord_key, 0};\n 783→ int total_bt_calls = 0;\n 784→ constexpr int MAX_TOTAL_BT_CALLS = 500000; // total budget for entire relation\n 785→\n 786→ for (size_t si = 0; si < sub_ways.size(); si++) {\n 787→ if (bt_used[si]) continue;\n 788→ if (total_bt_calls >= MAX_TOTAL_BT_CALLS) break; // budget exceeded\n 789→ const auto& sg = sub_ways[si];\n 790→ int64_t fk = coord_key(sg.coords.front().first, sg.coords.front().second);\n 791→ int64_t lk = coord_key(sg.coords.back().first, sg.coords.back().second);\n 792→ if (sg.coords.size() >= 4 && fk == lk) {\n 793→ bt_used[si] = true;\n 794→ bt_rings.push_back(sg.coords);\n 795→ continue;\n 796→ }\n 797→ bt_used[si] = true;\n 798→ bt2.calls = 0;\n 799→ std::vector> path;\n 800→ if (bt2.try_close(fk, lk, path, 0)) {\n 801→ std::vector> r = sg.coords;\n 802→ for (const auto& [wi, rev] : path) {\n 803→ const auto& c = sub_ways[wi].coords;\n 804→ if (!rev) r.insert(r.end(), c.begin() + 1, c.end());\n 805→ else for (auto it2 = c.rbegin() + 1; it2 != c.rend(); ++it2) r.push_back(*it2);\n 806→ }\n 807→ if (r.size() >= 4 && !ring_has_self_intersection(r)) {\n 808→ bt_rings.push_back(std::move(r));\n 809→ continue;\n 810→ }\n 811→ }\n 812→ bt_used[si] = false;\n 813→ total_bt_calls += bt2.calls;\n 814→ }\n 815→\n 816→ // Keep whichever pass produced more rings\n 817→ if (bt_rings.size() > rings.size()) {\n 818→ rings = std::move(bt_rings);\n 819→ }\n 820→ }\n 821→ }\n 822→\n 823→ return rings;\n 824→}\n 825→\n 826→// --- Highway filter ---\n 827→\n 828→static const std::vector kExcludedHighways = {\n 829→ \"footway\", \"path\", \"track\", \"steps\", \"cycleway\",\n 830→ \"service\", \"pedestrian\", \"bridleway\", \"construction\"\n 831→};\n 832→\n 833→static bool is_included_highway(const char* value) {\n 834→ for (const auto& excluded : kExcludedHighways) {\n 835→ if (excluded == value) return false;\n 836→ }\n 837→ return true;\n 838→}\n 839→\n 840→// --- Parse house number (leading digits) ---\n 841→\n 842→static uint32_t parse_house_number(const char* s) {\n 843→ if (!s) return 0;\n 844→ uint32_t n = 0;\n 845→ while (*s >= '0' && *s <= '9') {\n 846→ n = n * 10 + (*s - '0');\n 847→ s++;\n 848→ }\n 849→ return n;\n 850→}\n 851→\n 852→// --- Add an address point ---\n 853→\n 854→static void add_addr_point(ParsedData& data, double lat, double lng,\n 855→ const char* housenumber, const char* street,\n 856→ uint64_t& addr_count_total) {\n 857→ uint32_t addr_id = static_cast(data.addr_points.size());\n 858→ data.addr_points.push_back({\n 859→ static_cast(lat),\n 860→ static_cast(lng),\n 861→ data.string_pool.intern(housenumber),\n 862→ data.string_pool.intern(street)\n 863→ });\n 864→\n 865→ S2CellId cell = point_to_cell(lat, lng);\n 866→ data.cell_to_addrs[cell.id()].push_back(addr_id);\n 867→\n 868→ addr_count_total++;\n 869→ if (addr_count_total % 1000000 == 0) {\n 870→ std::cerr << \"Collected \" << addr_count_total / 1000000 << \"M addresses...\" << std::endl;\n 871→ }\n 872→}\n 873→\n 874→// --- Add an admin polygon ---\n 875→\n 876→static void add_admin_polygon(ParsedData& data,\n 877→ const std::vector>& vertices_in,\n 878→ const char* name, uint8_t admin_level,\n 879→ const char* country_code,\n 880→ AdminCoverPool* admin_pool = nullptr) {\n 881→ // Normalize ring rotation: start at the vertex with smallest (lat, lng)\n 882→ // This ensures identical output regardless of ring assembly order.\n 883→ auto vertices = vertices_in;\n 884→ if (vertices.size() >= 4 &&\n 885→ std::fabs(vertices.front().first - vertices.back().first) < 1e-7 &&\n 886→ std::fabs(vertices.front().second - vertices.back().second) < 1e-7) {\n 887→ vertices.pop_back();\n 888→ auto min_it = std::min_element(vertices.begin(), vertices.end());\n 889→ std::rotate(vertices.begin(), min_it, vertices.end());\n 890→ vertices.push_back(vertices.front());\n 891→ }\n 892→\n 893→ // Simplify large polygons\n 894→ auto simplified = simplify_polygon(vertices, 500);\n 895→ if (simplified.size() < 3) return;\n 896→\n 897→ uint32_t poly_id = static_cast(data.admin_polygons.size());\n 898→ uint32_t vertex_offset = static_cast(data.admin_vertices.size());\n 899→\n 900→ for (const auto& [lat, lng] : simplified) {\n 901→ data.admin_vertices.push_back({static_cast(lat), static_cast(lng)});\n 902→ }\n 903→\n 904→ AdminPolygon poly{};\n 905→ poly.vertex_offset = vertex_offset;\n 906→ poly.vertex_count = static_cast(std::min(simplified.size(), size_t(65535)));\n 907→ poly.name_id = data.string_pool.intern(name);\n 908→ poly.admin_level = admin_level;\n 909→ poly.area = polygon_area(simplified);\n 910→ poly.country_code = (country_code && country_code[0] && country_code[1])\n 911→ ? static_cast((country_code[0] << 8) | country_code[1])\n 912→ : 0;\n 913→ data.admin_polygons.push_back(poly);\n 914→\n 915→ // Submit S2 cell coverage to thread pool (runs concurrently with PBF reading)\n 916→ if (admin_pool) {\n 917→ admin_pool->submit(poly_id, std::move(simplified));\n 918→ }\n 919→}\n 920→\n 921→// --- OSM handler ---\n 922→\n 923→class BuildHandler : public osmium::handler::Handler {\n 924→public:\n 925→ explicit BuildHandler(ParsedData& data, AdminCoverPool* admin_pool = nullptr)\n 926→ : data_(data), admin_pool_(admin_pool) {}\n 927→\n 928→ void node(const osmium::Node& node) {\n 929→ const char* housenumber = node.tags()[\"addr:housenumber\"];\n 930→ if (!housenumber) return;\n 931→ const char* street = node.tags()[\"addr:street\"];\n 932→ if (!street) return;\n 933→ if (!node.location().valid()) return;\n 934→\n 935→ add_addr_point(data_, node.location().lat(), node.location().lon(),\n 936→ housenumber, street, addr_count_total_);\n 937→ }\n 938→\n 939→ void way(const osmium::Way& way) {\n 940→ // Address interpolation\n 941→ const char* interpolation = way.tags()[\"addr:interpolation\"];\n 942→ if (interpolation) {\n 943→ process_interpolation_way(way, interpolation);\n 944→ return;\n 945→ }\n 946→\n 947→ // Building addresses\n 948→ const char* housenumber = way.tags()[\"addr:housenumber\"];\n 949→ if (housenumber) {\n 950→ const char* street = way.tags()[\"addr:street\"];\n 951→ if (street) {\n 952→ process_building_address(way, housenumber, street);\n 953→ }\n 954→ }\n 955→\n 956→ // Highway ways\n 957→ const char* highway = way.tags()[\"highway\"];\n 958→ if (highway && is_included_highway(highway)) {\n 959→ const char* name = way.tags()[\"name\"];\n 960→ if (name) {\n 961→ process_highway(way, name);\n 962→ }\n 963→ }\n 964→ }\n 965→\n 966→ void area(const osmium::Area& area) {\n 967→ const char* boundary = area.tags()[\"boundary\"];\n 968→ if (!boundary) return;\n 969→\n 970→ bool is_admin = (std::strcmp(boundary, \"administrative\") == 0);\n 971→ bool is_postal = (std::strcmp(boundary, \"postal_code\") == 0);\n 972→ if (!is_admin && !is_postal) return;\n 973→\n 974→ uint8_t admin_level = 0;\n 975→ if (is_admin) {\n 976→ const char* level_str = area.tags()[\"admin_level\"];\n 977→ if (!level_str) return;\n 978→ admin_level = static_cast(std::atoi(level_str));\n 979→ if (admin_level < 2 || admin_level > 10) return;\n 980→ } else {\n 981→ admin_level = 11; // use 11 for postal codes\n 982→ }\n 983→ if (kMaxAdminLevel > 0 && admin_level > kMaxAdminLevel) return;\n 984→\n 985→ const char* name = area.tags()[\"name\"];\n 986→ if (!name && is_admin) return;\n 987→\n 988→ // For postal codes, use postal_code tag as name\n 989→ std::string name_str;\n 990→ if (is_postal) {\n 991→ const char* postal_code = area.tags()[\"postal_code\"];\n 992→ if (!postal_code) postal_code = name;\n 993→ if (!postal_code) return;\n 994→ name_str = postal_code;\n 995→ } else {\n 996→ name_str = name;\n 997→ }\n 998→\n 999→ // Extract country code for level 2 boundaries\n 1000→ const char* country_code = (admin_level == 2)\n 1001→ ? area.tags()[\"ISO3166-1:alpha2\"]\n 1002→ : nullptr;\n 1003→ // Extract outer ring vertices\n 1004→ for (const auto& outer_ring : area.outer_rings()) {\n 1005→ std::vector> vertices;\n 1006→ for (const auto& node_ref : outer_ring) {\n 1007→ if (node_ref.location().valid()) {\n 1008→ vertices.emplace_back(node_ref.location().lat(), node_ref.location().lon());\n 1009→ }\n 1010→ }\n 1011→ if (vertices.size() >= 3) {\n 1012→ add_admin_polygon(data_, vertices, name_str.c_str(), admin_level, country_code, admin_pool_);\n 1013→ }\n 1014→ }\n 1015→\n 1016→ admin_count_++;\n 1017→ if (admin_count_ % 10000 == 0) {\n 1018→ std::cerr << \"Processed \" << admin_count_ / 1000 << \"K admin boundaries...\" << std::endl;\n 1019→ }\n 1020→ }\n 1021→\n 1022→ uint64_t way_count() const { return way_count_; }\n 1023→ uint64_t building_addr_count() const { return building_addr_count_; }\n 1024→ uint64_t interp_count() const { return interp_count_; }\n 1025→ uint64_t admin_count() const { return admin_count_; }\n 1026→ uint64_t addr_count_total() const { return addr_count_total_; }\n 1027→\n 1028→private:\n 1029→ ParsedData& data_;\n 1030→ AdminCoverPool* admin_pool_ = nullptr;\n 1031→ uint64_t way_count_ = 0;\n 1032→ uint64_t building_addr_count_ = 0;\n 1033→ uint64_t interp_count_ = 0;\n 1034→ uint64_t admin_count_ = 0;\n 1035→ uint64_t addr_count_total_ = 0;\n 1036→\n 1037→ void process_building_address(const osmium::Way& way, const char* housenumber, const char* street) {\n 1038→ const auto& wnodes = way.nodes();\n 1039→ if (wnodes.empty()) return;\n 1040→\n 1041→ double sum_lat = 0, sum_lng = 0;\n 1042→ int valid = 0;\n 1043→ for (const auto& nr : wnodes) {\n 1044→ if (!nr.location().valid()) continue;\n 1045→ sum_lat += nr.location().lat();\n 1046→ sum_lng += nr.location().lon();\n 1047→ valid++;\n 1048→ }\n 1049→ if (valid == 0) return;\n 1050→\n 1051→ add_addr_point(data_, sum_lat / valid, sum_lng / valid,\n 1052→ housenumber, street, addr_count_total_);\n 1053→ building_addr_count_++;\n 1054→ }\n 1055→\n 1056→ void process_interpolation_way(const osmium::Way& way, const char* interpolation) {\n 1057→ const auto& wnodes = way.nodes();\n 1058→ if (wnodes.size() < 2) return;\n 1059→\n 1060→ for (const auto& nr : wnodes) {\n 1061→ if (!nr.location().valid()) return;\n 1062→ }\n 1063→\n 1064→ const char* street = way.tags()[\"addr:street\"];\n 1065→ if (!street) return;\n 1066→\n 1067→ uint8_t interp_type = 0;\n 1068→ if (std::strcmp(interpolation, \"even\") == 0) interp_type = 1;\n 1069→ else if (std::strcmp(interpolation, \"odd\") == 0) interp_type = 2;\n 1070→\n 1071→ uint32_t interp_id = static_cast(data_.interp_ways.size());\n 1072→ uint32_t node_offset = static_cast(data_.interp_nodes.size());\n 1073→\n 1074→ for (const auto& nr : wnodes) {\n 1075→ data_.interp_nodes.push_back({\n 1076→ static_cast(nr.location().lat()),\n 1077→ static_cast(nr.location().lon())\n 1078→ });\n 1079→ }\n 1080→\n 1081→ InterpWay iw{};\n 1082→ iw.node_offset = node_offset;\n 1083→ iw.node_count = static_cast(std::min(wnodes.size(), size_t(255)));\n 1084→ iw.street_id = data_.string_pool.intern(street);\n 1085→ iw.start_number = 0;\n 1086→ iw.end_number = 0;\n 1087→ iw.interpolation = interp_type;\n 1088→ data_.interp_ways.push_back(iw);\n 1089→\n 1090→ // Defer S2 cell computation to parallel phase\n 1091→ data_.deferred_interps.push_back({interp_id, node_offset,\n 1092→ static_cast(std::min(wnodes.size(), size_t(255)))});\n 1093→\n 1094→ interp_count_++;\n 1095→ }\n 1096→\n 1097→ void process_highway(const osmium::Way& way, const char* name) {\n 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auto& nr : wnodes) {\n 1102→ if (!nr.location().valid()) return;\n 1103→ }\n 1104→\n 1105→ uint32_t way_id = static_cast(data_.ways.size());\n 1106→ uint32_t node_offset = static_cast(data_.street_nodes.size());\n 1107→\n 1108→ for (const auto& nr : wnodes) {\n 1109→ data_.street_nodes.push_back({\n 1110→ static_cast(nr.location().lat()),\n 1111→ static_cast(nr.location().lon())\n 1112→ });\n 1113→ }\n 1114→\n 1115→ WayHeader header{};\n 1116→ header.node_offset = node_offset;\n 1117→ header.node_count = static_cast(std::min(wnodes.size(), size_t(255)));\n 1118→ header.name_id = data_.string_pool.intern(name);\n 1119→ data_.ways.push_back(header);\n 1120→\n 1121→ // Defer S2 cell computation to parallel phase\n 1122→ data_.deferred_ways.push_back({way_id, node_offset, header.node_count});\n 1123→\n 1124→ way_count_++;\n 1125→ if (way_count_ % 1000000 == 0) {\n 1126→ std::cerr << \"Collected \" << way_count_ / 1000000 << \"M street ways...\" << std::endl;\n 1127→ }\n 1128→ }\n 1129→};\n 1130→\n 1131→// --- Relation collector for parallel admin assembly (runs during pass 1) ---\n 1132→\n 1133→struct RelationCollector : public osmium::handler::Handler {\n 1134→ std::vector& relations;\n 1135→\n 1136→ explicit RelationCollector(std::vector& r) : relations(r) {}\n 1137→\n 1138→ void relation(const osmium::Relation& rel) {\n 1139→ const char* boundary = rel.tags()[\"boundary\"];\n 1140→ if (!boundary) return;\n 1141→\n 1142→ bool is_admin = (std::strcmp(boundary, \"administrative\") == 0);\n 1143→ bool is_postal = (std::strcmp(boundary, \"postal_code\") == 0);\n 1144→ if (!is_admin && !is_postal) return;\n 1145→\n 1146→ uint8_t admin_level = 0;\n 1147→ if (is_admin) {\n 1148→ const char* level_str = rel.tags()[\"admin_level\"];\n 1149→ if (!level_str) return;\n 1150→ admin_level = static_cast(std::atoi(level_str));\n 1151→ if (admin_level < 2 || admin_level > 10) return;\n 1152→ } else {\n 1153→ admin_level = 11; // use 11 for postal codes\n 1154→ }\n 1155→ if (kMaxAdminLevel > 0 && admin_level > kMaxAdminLevel) return;\n 1156→\n 1157→ const char* name = rel.tags()[\"name\"];\n 1158→ if (!name && is_admin) return;\n 1159→\n 1160→ // For postal codes, use postal_code tag as name\n 1161→ std::string name_str;\n 1162→ if (is_postal) {\n 1163→ const char* postal_code = rel.tags()[\"postal_code\"];\n 1164→ if (!postal_code) postal_code = name;\n 1165→ if (!postal_code) return;\n 1166→ name_str = postal_code;\n 1167→ } else {\n 1168→ name_str = name;\n 1169→ }\n 1170→\n 1171→ // Extract country code for level 2 boundaries\n 1172→ std::string country_code;\n 1173→ if (admin_level == 2) {\n 1174→ const char* cc = rel.tags()[\"ISO3166-1:alpha2\"];\n 1175→ if (cc) country_code = cc;\n 1176→ }\n 1177→\n 1178→ // Collect member way IDs and roles\n 1179→ CollectedRelation cr;\n 1180→ cr.id = rel.id();\n 1181→ cr.admin_level = admin_level;\n 1182→ cr.name = std::move(name_str);\n 1183→ cr.country_code = std::move(country_code);\n 1184→ cr.is_postal = is_postal;\n 1185→\n 1186→ for (const auto& member : rel.members()) {\n 1187→ if (member.type() == osmium::item_type::way) {\n 1188→ cr.members.emplace_back(member.ref(), member.role());\n 1189→ }\n 1190→ }\n 1191→\n 1192→ if (!cr.members.empty()) {\n 1193→ relations.push_back(std::move(cr));\n 1194→ }\n 1195→ }\n 1196→};\n 1197→\n 1198→// --- Resolve interpolation way endpoint house numbers ---\n 1199→\n 1200→static void resolve_interpolation_endpoints(ParsedData& data) {\n 1201→ struct CoordKey {\n 1202→ int32_t lat;\n 1203→ int32_t lng;\n 1204→ bool operator==(const CoordKey& o) const { return lat == o.lat && lng == o.lng; }\n 1205→ };\n 1206→ struct CoordHash {\n 1207→ size_t operator()(const CoordKey& k) const {\n 1208→ return std::hash()(((int64_t)k.lat << 32) | (uint32_t)k.lng);\n 1209→ }\n 1210→ };\n 1211→\n 1212→ std::unordered_map addr_by_coord;\n 1213→ for (uint32_t i = 0; i < data.addr_points.size(); i++) {\n 1214→ CoordKey key{\n 1215→ static_cast(data.addr_points[i].lat * 100000),\n 1216→ static_cast(data.addr_points[i].lng * 100000)\n 1217→ };\n 1218→ addr_by_coord[key] = i;\n 1219→ }\n 1220→\n 1221→ uint32_t resolved = 0;\n 1222→ for (auto& iw : data.interp_ways) {\n 1223→ if (iw.node_count < 2) continue;\n 1224→\n 1225→ const auto& start = data.interp_nodes[iw.node_offset];\n 1226→ CoordKey start_key{\n 1227→ static_cast(start.lat * 100000),\n 1228→ static_cast(start.lng * 100000)\n 1229→ };\n 1230→ auto it_start = addr_by_coord.find(start_key);\n 1231→\n 1232→ const auto& end = data.interp_nodes[iw.node_offset + iw.node_count - 1];\n 1233→ CoordKey end_key{\n 1234→ static_cast(end.lat * 100000),\n 1235→ static_cast(end.lng * 100000)\n 1236→ };\n 1237→ auto it_end = addr_by_coord.find(end_key);\n 1238→\n 1239→ if (it_start != addr_by_coord.end()) {\n 1240→ const char* hn = data.string_pool.data().data() + data.addr_points[it_start->second].housenumber_id;\n 1241→ iw.start_number = parse_house_number(hn);\n 1242→ }\n 1243→ if (it_end != addr_by_coord.end()) {\n 1244→ const char* hn = data.string_pool.data().data() + data.addr_points[it_end->second].housenumber_id;\n 1245→ iw.end_number = parse_house_number(hn);\n 1246→ }\n 1247→\n 1248→ if (iw.start_number > 0 && iw.end_number > 0) resolved++;\n 1249→ }\n 1250→\n 1251→ std::cerr << \"Resolved \" << resolved << \"/\" << data.interp_ways.size()\n 1252→ << \" interpolation ways\" << std::endl;\n 1253→}\n 1254→\n 1255→// --- Deduplicate IDs per cell ---\n 1256→\n 1257→template\n 1258→static void deduplicate(Map& cell_map) {\n 1259→ for (auto& [cell_id, ids] : cell_map) {\n 1260→ std::sort(ids.begin(), ids.end());\n 1261→ ids.erase(std::unique(ids.begin(), ids.end()), ids.end());\n 1262→ }\n 1263→}\n 1264→\n 1265→// --- Cache serialization ---\n 1266→\n 1267→enum class SectionType : uint32_t {\n 1268→ STRING_POOL = 0,\n 1269→ WAYS = 1,\n 1270→ STREET_NODES = 2,\n 1271→ CELL_TO_WAYS = 3,\n 1272→ ADDR_POINTS = 4,\n 1273→ CELL_TO_ADDRS = 5,\n 1274→ INTERP_WAYS = 6,\n 1275→ INTERP_NODES = 7,\n 1276→ CELL_TO_INTERPS = 8,\n 1277→ ADMIN_POLYGONS = 9,\n 1278→ ADMIN_VERTICES = 10,\n 1279→ CELL_TO_ADMIN = 11,\n 1280→};\n 1281→\n 1282→static const char CACHE_MAGIC[8] = {'T','G','C','A','C','H','E','\\0'};\n 1283→static const uint32_t CACHE_VERSION = 1;\n 1284→static const uint32_t CACHE_SECTION_COUNT = 12;\n 1285→\n 1286→// Serialize a vector of structs to a binary blob\n 1287→template\n 1288→static std::vector serialize_vector(const std::vector& vec) {\n 1289→ std::vector buf;\n 1290→ uint64_t count = vec.size();\n 1291→ buf.resize(sizeof(uint64_t) + count * sizeof(T));\n 1292→ std::memcpy(buf.data(), &count, sizeof(uint64_t));\n 1293→ if (count > 0) {\n 1294→ std::memcpy(buf.data() + sizeof(uint64_t), vec.data(), count * sizeof(T));\n 1295→ }\n 1296→ return buf;\n 1297→}\n 1298→\n 1299→// Deserialize a vector of structs from a binary blob\n 1300→template\n 1301→static bool deserialize_vector(const char* data, uint64_t length, std::vector& vec) {\n 1302→ if (length < sizeof(uint64_t)) return false;\n 1303→ uint64_t count;\n 1304→ std::memcpy(&count, data, sizeof(uint64_t));\n 1305→ if (length < sizeof(uint64_t) + count * sizeof(T)) return false;\n 1306→ vec.resize(count);\n 1307→ if (count > 0) {\n 1308→ std::memcpy(vec.data(), data + sizeof(uint64_t), count * sizeof(T));\n 1309→ }\n 1310→ return true;\n 1311→}\n 1312→\n 1313→// Serialize a cell map (uint64_t -> vector)\n 1314→static std::vector serialize_cell_map(const std::unordered_map>& map) {\n 1315→ // Calculate total size\n 1316→ size_t total = sizeof(uint64_t); // entry count\n 1317→ for (const auto& [cell_id, ids] : map) {\n 1318→ total += sizeof(uint64_t) + sizeof(uint32_t) + ids.size() * sizeof(uint32_t);\n 1319→ }\n 1320→ std::vector buf(total);\n 1321→ char* ptr = buf.data();\n 1322→\n 1323→ uint64_t entry_count = map.size();\n 1324→ std::memcpy(ptr, &entry_count, sizeof(uint64_t));\n 1325→ ptr += sizeof(uint64_t);\n 1326→\n 1327→ for (const auto& [cell_id, ids] : map) {\n 1328→ std::memcpy(ptr, &cell_id, sizeof(uint64_t));\n 1329→ ptr += sizeof(uint64_t);\n 1330→ uint32_t id_count = static_cast(ids.size());\n 1331→ std::memcpy(ptr, &id_count, sizeof(uint32_t));\n 1332→ ptr += sizeof(uint32_t);\n 1333→ if (id_count > 0) {\n 1334→ std::memcpy(ptr, ids.data(), id_count * sizeof(uint32_t));\n 1335→ ptr += id_count * sizeof(uint32_t);\n 1336→ }\n 1337→ }\n 1338→ return buf;\n 1339→}\n 1340→\n 1341→// Deserialize a cell map\n 1342→static bool deserialize_cell_map(const char* data, uint64_t length,\n 1343→ std::unordered_map>& map) {\n 1344→ if (length < sizeof(uint64_t)) return false;\n 1345→ const char* ptr = data;\n 1346→ const char* end = data + length;\n 1347→\n 1348→ uint64_t entry_count;\n 1349→ std::memcpy(&entry_count, ptr, sizeof(uint64_t));\n 1350→ ptr += sizeof(uint64_t);\n 1351→\n 1352→ map.reserve(entry_count);\n 1353→ for (uint64_t i = 0; i < entry_count; i++) {\n 1354→ if (ptr + sizeof(uint64_t) + sizeof(uint32_t) > end) return false;\n 1355→ uint64_t cell_id;\n 1356→ std::memcpy(&cell_id, ptr, sizeof(uint64_t));\n 1357→ ptr += sizeof(uint64_t);\n 1358→ uint32_t id_count;\n 1359→ std::memcpy(&id_count, ptr, sizeof(uint32_t));\n 1360→ ptr += sizeof(uint32_t);\n 1361→ if (ptr + id_count * sizeof(uint32_t) > end) return false;\n 1362→ std::vector ids(id_count);\n 1363→ if (id_count > 0) {\n 1364→ std::memcpy(ids.data(), ptr, id_count * sizeof(uint32_t));\n 1365→ ptr += id_count * sizeof(uint32_t);\n 1366→ }\n 1367→ map[cell_id] = std::move(ids);\n 1368→ }\n 1369→ return true;\n 1370→}\n 1371→\n 1372→static void serialize_cache(const ParsedData& data, const std::string& path) {\n 1373→ std::cerr << \"Saving cache to \" << path << \"...\" << std::endl;\n 1374→ std::ofstream f(path, std::ios::binary);\n 1375→ if (!f.is_open()) {\n 1376→ std::cerr << \"Error: could not open cache file for writing: \" << path << std::endl;\n 1377→ return;\n 1378→ }\n 1379→\n 1380→ f.write(CACHE_MAGIC, 8);\n 1381→ f.write(reinterpret_cast(&CACHE_VERSION), sizeof(uint32_t));\n 1382→ f.write(reinterpret_cast(&CACHE_SECTION_COUNT), sizeof(uint32_t));\n 1383→\n 1384→ // Helper to write a section\n 1385→ auto write_section = [&](SectionType type, const std::vector& blob) {\n 1386→ uint32_t t = static_cast(type);\n 1387→ uint64_t len = blob.size();\n 1388→ f.write(reinterpret_cast(&t), sizeof(uint32_t));\n 1389→ f.write(reinterpret_cast(&len), sizeof(uint64_t));\n 1390→ f.write(blob.data(), len);\n 1391→ };\n 1392→\n 1393→ // STRING_POOL: raw char vector\n 1394→ {\n 1395→ const auto& sp = data.string_pool.data();\n 1396→ std::vector blob(sizeof(uint64_t) + sp.size());\n 1397→ uint64_t sz = sp.size();\n 1398→ std::memcpy(blob.data(), &sz, sizeof(uint64_t));\n 1399→ if (sz > 0) std::memcpy(blob.data() + sizeof(uint64_t), sp.data(), sz);\n 1400→ write_section(SectionType::STRING_POOL, blob);\n 1401→ }\n 1402→\n 1403→ write_section(SectionType::WAYS, serialize_vector(data.ways));\n 1404→ write_section(SectionType::STREET_NODES, serialize_vector(data.street_nodes));\n 1405→ write_section(SectionType::CELL_TO_WAYS, serialize_cell_map(data.cell_to_ways));\n 1406→ write_section(SectionType::ADDR_POINTS, serialize_vector(data.addr_points));\n 1407→ write_section(SectionType::CELL_TO_ADDRS, serialize_cell_map(data.cell_to_addrs));\n 1408→ write_section(SectionType::INTERP_WAYS, serialize_vector(data.interp_ways));\n 1409→ write_section(SectionType::INTERP_NODES, serialize_vector(data.interp_nodes));\n 1410→ write_section(SectionType::CELL_TO_INTERPS, serialize_cell_map(data.cell_to_interps));\n 1411→ write_section(SectionType::ADMIN_POLYGONS, serialize_vector(data.admin_polygons));\n 1412→ write_section(SectionType::ADMIN_VERTICES, serialize_vector(data.admin_vertices));\n 1413→ write_section(SectionType::CELL_TO_ADMIN, serialize_cell_map(data.cell_to_admin));\n 1414→\n 1415→ std::cerr << \"Cache saved.\" << std::endl;\n 1416→}\n 1417→\n 1418→static bool deserialize_cache(ParsedData& data, const std::string& path) {\n 1419→ std::cerr << \"Loading cache from \" << path << \"...\" << std::endl;\n 1420→ std::ifstream f(path, std::ios::binary);\n 1421→ if (!f.is_open()) {\n 1422→ std::cerr << \"Error: could not open cache file: \" << path << std::endl;\n 1423→ return false;\n 1424→ }\n 1425→\n 1426→ char magic[8];\n 1427→ f.read(magic, 8);\n 1428→ if (std::memcmp(magic, CACHE_MAGIC, 8) != 0) {\n 1429→ std::cerr << \"Error: invalid cache magic\" << std::endl;\n 1430→ return false;\n 1431→ }\n 1432→\n 1433→ uint32_t version;\n 1434→ f.read(reinterpret_cast(&version), sizeof(uint32_t));\n 1435→ if (version != CACHE_VERSION) {\n 1436→ std::cerr << \"Error: unsupported cache version \" << version << std::endl;\n 1437→ return false;\n 1438→ }\n 1439→\n 1440→ uint32_t section_count;\n 1441→ f.read(reinterpret_cast(§ion_count), sizeof(uint32_t));\n 1442→\n 1443→ for (uint32_t s = 0; s < section_count; s++) {\n 1444→ uint32_t type;\n 1445→ uint64_t length;\n 1446→ f.read(reinterpret_cast(&type), sizeof(uint32_t));\n 1447→ f.read(reinterpret_cast(&length), sizeof(uint64_t));\n 1448→\n 1449→ std::vector blob(length);\n 1450→ f.read(blob.data(), length);\n 1451→\n 1452→ switch (static_cast(type)) {\n 1453→ case SectionType::STRING_POOL: {\n 1454→ if (length < sizeof(uint64_t)) return false;\n 1455→ uint64_t sz;\n 1456→ std::memcpy(&sz, blob.data(), sizeof(uint64_t));\n 1457→ auto& sp = data.string_pool.mutable_data();\n 1458→ sp.resize(sz);\n 1459→ if (sz > 0) std::memcpy(sp.data(), blob.data() + sizeof(uint64_t), sz);\n 1460→ break;\n 1461→ }\n 1462→ case SectionType::WAYS:\n 1463→ if (!deserialize_vector(blob.data(), length, data.ways)) return false;\n 1464→ break;\n 1465→ case SectionType::STREET_NODES:\n 1466→ if (!deserialize_vector(blob.data(), length, data.street_nodes)) return false;\n 1467→ break;\n 1468→ case SectionType::CELL_TO_WAYS:\n 1469→ if (!deserialize_cell_map(blob.data(), length, data.cell_to_ways)) return false;\n 1470→ break;\n 1471→ case SectionType::ADDR_POINTS:\n 1472→ if (!deserialize_vector(blob.data(), length, data.addr_points)) return false;\n 1473→ break;\n 1474→ case SectionType::CELL_TO_ADDRS:\n 1475→ if (!deserialize_cell_map(blob.data(), length, data.cell_to_addrs)) return false;\n 1476→ break;\n 1477→ case SectionType::INTERP_WAYS:\n 1478→ if (!deserialize_vector(blob.data(), length, data.interp_ways)) return false;\n 1479→ break;\n 1480→ case SectionType::INTERP_NODES:\n 1481→ if (!deserialize_vector(blob.data(), length, data.interp_nodes)) return false;\n 1482→ break;\n 1483→ case SectionType::CELL_TO_INTERPS:\n 1484→ if (!deserialize_cell_map(blob.data(), length, data.cell_to_interps)) return false;\n 1485→ break;\n 1486→ case SectionType::ADMIN_POLYGONS:\n 1487→ if (!deserialize_vector(blob.data(), length, data.admin_polygons)) return false;\n 1488→ break;\n 1489→ case SectionType::ADMIN_VERTICES:\n 1490→ if (!deserialize_vector(blob.data(), length, data.admin_vertices)) return false;\n 1491→ break;\n 1492→ case SectionType::CELL_TO_ADMIN:\n 1493→ if (!deserialize_cell_map(blob.data(), length, data.cell_to_admin)) return false;\n 1494→ break;\n 1495→ default:\n 1496→ std::cerr << \"Warning: unknown cache section type \" << type << \", skipping\" << std::endl;\n 1497→ break;\n 1498→ }\n 1499→ }\n 1500→\n 1501→ std::cerr << \"Cache loaded: \" << data.ways.size() << \" ways, \"\n 1502→ << data.addr_points.size() << \" addrs, \"\n 1503→ << data.interp_ways.size() << \" interps, \"\n 1504→ << data.admin_polygons.size() << \" admin polygons\" << std::endl;\n 1505→ return true;\n 1506→}\n 1507→\n 1508→// --- Continent bounding box filtering ---\n 1509→\n 1510→struct ContinentBBox {\n 1511→ const char* name;\n 1512→ double min_lat, max_lat, min_lng, max_lng;\n 1513→};\n 1514→\n 1515→static const ContinentBBox kContinents[] = {\n 1516→ {\"africa\", -35.0, 37.5, -25.0, 55.0},\n 1517→ {\"asia\", -12.0, 82.0, 25.0, 180.0},\n 1518→ {\"europe\", 35.0, 72.0, -25.0, 45.0},\n 1519→ {\"north-america\", 7.0, 84.0, -170.0, -50.0},\n 1520→ {\"south-america\", -56.0, 13.0, -82.0, -34.0},\n 1521→ {\"oceania\", -50.0, 0.0, 110.0, 180.0},\n 1522→ {\"central-america\", 7.0, 23.5, -120.0, -57.0},\n 1523→ {\"antarctica\", -90.0, -60.0, -180.0, 180.0},\n 1524→};\n 1525→\n 1526→static bool cell_in_bbox(uint64_t cell_id, const ContinentBBox& bbox) {\n 1527→ S2CellId cell(cell_id);\n 1528→ S2LatLng center = cell.ToLatLng();\n 1529→ double lat = center.lat().degrees();\n 1530→ double lng = center.lng().degrees();\n 1531→ return lat >= bbox.min_lat && lat <= bbox.max_lat &&\n 1532→ lng >= bbox.min_lng && lng <= bbox.max_lng;\n 1533→}\n 1534→\n 1535→static ParsedData filter_by_bbox(const ParsedData& full, const ContinentBBox& bbox) {\n 1536→ ParsedData out;\n 1537→\n 1538→ // --- Filter cell_to_ways and collect referenced way IDs ---\n 1539→ std::unordered_set used_way_ids;\n 1540→ for (const auto& [cell_id, ids] : full.cell_to_ways) {\n 1541→ if (cell_in_bbox(cell_id, bbox)) {\n 1542→ for (uint32_t id : ids) {\n 1543→ used_way_ids.insert(id);\n 1544→ }\n 1545→ }\n 1546→ }\n 1547→\n 1548→ // --- Filter cell_to_addrs and collect referenced addr IDs ---\n 1549→ std::unordered_set used_addr_ids;\n 1550→ for (const auto& [cell_id, ids] : full.cell_to_addrs) {\n 1551→ if (cell_in_bbox(cell_id, bbox)) {\n 1552→ for (uint32_t id : ids) {\n 1553→ used_addr_ids.insert(id);\n 1554→ }\n 1555→ }\n 1556→ }\n 1557→\n 1558→ // --- Filter cell_to_interps and collect referenced interp IDs ---\n 1559→ std::unordered_set used_interp_ids;\n 1560→ for (const auto& [cell_id, ids] : full.cell_to_interps) {\n 1561→ if (cell_in_bbox(cell_id, bbox)) {\n 1562→ for (uint32_t id : ids) {\n 1563→ used_interp_ids.insert(id);\n 1564→ }\n 1565→ }\n 1566→ }\n 1567→\n 1568→ // --- Filter cell_to_admin and collect referenced admin IDs ---\n 1569→ std::unordered_set used_admin_ids;\n 1570→ for (const auto& [cell_id, ids] : full.cell_to_admin) {\n 1571→ if (cell_in_bbox(cell_id, bbox)) {\n 1572→ for (uint32_t id : ids) {\n 1573→ used_admin_ids.insert(id & ID_MASK);\n 1574→ }\n 1575→ }\n 1576→ }\n 1577→\n 1578→ // --- Build remapped ways ---\n 1579→ std::unordered_map way_remap; // old_id -> new_id\n 1580→ {\n 1581→ std::vector sorted_ids(used_way_ids.begin(), used_way_ids.end());\n 1582→ std::sort(sorted_ids.begin(), sorted_ids.end());\n 1583→ for (uint32_t old_id : sorted_ids) {\n 1584→ uint32_t new_id = static_cast(out.ways.size());\n 1585→ way_remap[old_id] = new_id;\n 1586→ const auto& w = full.ways[old_id];\n 1587→ WayHeader nw = w;\n 1588→ nw.node_offset = static_cast(out.street_nodes.size());\n 1589→ out.ways.push_back(nw);\n 1590→ for (uint8_t n = 0; n < w.node_count; n++) {\n 1591→ out.street_nodes.push_back(full.street_nodes[w.node_offset + n]);\n 1592→ }\n 1593→ }\n 1594→ }\n 1595→\n 1596→ // --- Build remapped addr points ---\n 1597→ std::unordered_map 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used_addr_ids.end());\n 1600→ std::sort(sorted_ids.begin(), sorted_ids.end());\n 1601→ for (uint32_t old_id : sorted_ids) {\n 1602→ uint32_t new_id = static_cast(out.addr_points.size());\n 1603→ addr_remap[old_id] = new_id;\n 1604→ out.addr_points.push_back(full.addr_points[old_id]);\n 1605→ }\n 1606→ }\n 1607→\n 1608→ // --- Build remapped interp ways ---\n 1609→ std::unordered_map interp_remap;\n 1610→ {\n 1611→ std::vector sorted_ids(used_interp_ids.begin(), used_interp_ids.end());\n 1612→ std::sort(sorted_ids.begin(), sorted_ids.end());\n 1613→ for (uint32_t old_id : sorted_ids) {\n 1614→ uint32_t new_id = static_cast(out.interp_ways.size());\n 1615→ interp_remap[old_id] = new_id;\n 1616→ const auto& iw = full.interp_ways[old_id];\n 1617→ InterpWay niw = iw;\n 1618→ niw.node_offset = static_cast(out.interp_nodes.size());\n 1619→ out.interp_ways.push_back(niw);\n 1620→ for (uint8_t n = 0; n < iw.node_count; n++) {\n 1621→ out.interp_nodes.push_back(full.interp_nodes[iw.node_offset + n]);\n 1622→ }\n 1623→ }\n 1624→ }\n 1625→\n 1626→ // --- Build remapped admin polygons ---\n 1627→ std::unordered_map admin_remap;\n 1628→ {\n 1629→ std::vector sorted_ids(used_admin_ids.begin(), used_admin_ids.end());\n 1630→ std::sort(sorted_ids.begin(), sorted_ids.end());\n 1631→ for (uint32_t old_id : sorted_ids) {\n 1632→ uint32_t new_id = static_cast(out.admin_polygons.size());\n 1633→ admin_remap[old_id] = new_id;\n 1634→ const auto& ap = full.admin_polygons[old_id];\n 1635→ AdminPolygon nap = ap;\n 1636→ nap.vertex_offset = static_cast(out.admin_vertices.size());\n 1637→ out.admin_polygons.push_back(nap);\n 1638→ for (uint16_t v = 0; v < ap.vertex_count; v++) {\n 1639→ out.admin_vertices.push_back(full.admin_vertices[ap.vertex_offset + v]);\n 1640→ }\n 1641→ }\n 1642→ }\n 1643→\n 1644→ // --- Build remapped cell maps ---\n 1645→ for (const auto& [cell_id, ids] : full.cell_to_ways) {\n 1646→ if (!cell_in_bbox(cell_id, bbox)) continue;\n 1647→ std::vector new_ids;\n 1648→ for (uint32_t id : ids) {\n 1649→ auto it = way_remap.find(id);\n 1650→ if (it != way_remap.end()) {\n 1651→ new_ids.push_back(it->second);\n 1652→ }\n 1653→ }\n 1654→ if (!new_ids.empty()) {\n 1655→ out.cell_to_ways[cell_id] = std::move(new_ids);\n 1656→ }\n 1657→ }\n 1658→\n 1659→ for (const auto& [cell_id, ids] : full.cell_to_addrs) {\n 1660→ if (!cell_in_bbox(cell_id, bbox)) continue;\n 1661→ std::vector new_ids;\n 1662→ for (uint32_t id : ids) {\n 1663→ auto it = addr_remap.find(id);\n 1664→ if (it != addr_remap.end()) {\n 1665→ new_ids.push_back(it->second);\n 1666→ }\n 1667→ }\n 1668→ if (!new_ids.empty()) {\n 1669→ out.cell_to_addrs[cell_id] = std::move(new_ids);\n 1670→ }\n 1671→ }\n 1672→\n 1673→ for (const auto& [cell_id, ids] : full.cell_to_interps) {\n 1674→ if (!cell_in_bbox(cell_id, bbox)) continue;\n 1675→ std::vector new_ids;\n 1676→ for (uint32_t id : ids) {\n 1677→ auto it = interp_remap.find(id);\n 1678→ if (it != interp_remap.end()) {\n 1679→ new_ids.push_back(it->second);\n 1680→ }\n 1681→ }\n 1682→ if (!new_ids.empty()) {\n 1683→ out.cell_to_interps[cell_id] = std::move(new_ids);\n 1684→ }\n 1685→ }\n 1686→\n 1687→ for (const auto& [cell_id, ids] : full.cell_to_admin) {\n 1688→ if (!cell_in_bbox(cell_id, bbox)) continue;\n 1689→ std::vector new_ids;\n 1690→ for (uint32_t id : ids) {\n 1691→ uint32_t raw_id = id & ID_MASK;\n 1692→ uint32_t flags = id & INTERIOR_FLAG;\n 1693→ auto it = admin_remap.find(raw_id);\n 1694→ if (it != admin_remap.end()) {\n 1695→ new_ids.push_back(it->second | flags);\n 1696→ }\n 1697→ }\n 1698→ if (!new_ids.empty()) {\n 1699→ out.cell_to_admin[cell_id] = std::move(new_ids);\n 1700→ }\n 1701→ }\n 1702→\n 1703→ // --- Rebuild compact string pool with only referenced strings ---\n 1704→ // Collect all referenced string offsets\n 1705→ std::unordered_set used_offsets;\n 1706→ for (const auto& w : out.ways) {\n 1707→ used_offsets.insert(w.name_id);\n 1708→ }\n 1709→ for (const auto& a : out.addr_points) {\n 1710→ used_offsets.insert(a.housenumber_id);\n 1711→ used_offsets.insert(a.street_id);\n 1712→ }\n 1713→ for (const auto& iw : out.interp_ways) {\n 1714→ used_offsets.insert(iw.street_id);\n 1715→ }\n 1716→ for (const auto& ap : out.admin_polygons) {\n 1717→ used_offsets.insert(ap.name_id);\n 1718→ }\n 1719→\n 1720→ // Build remap: old offset -> new offset\n 1721→ const auto& old_sp = full.string_pool.data();\n 1722→ std::unordered_map string_remap;\n 1723→ auto& new_sp = out.string_pool.mutable_data();\n 1724→ new_sp.clear();\n 1725→\n 1726→ std::vector sorted_offsets(used_offsets.begin(), used_offsets.end());\n 1727→ std::sort(sorted_offsets.begin(), sorted_offsets.end());\n 1728→\n 1729→ for (uint32_t old_off : sorted_offsets) {\n 1730→ uint32_t new_off = static_cast(new_sp.size());\n 1731→ string_remap[old_off] = new_off;\n 1732→ // Copy the null-terminated string\n 1733→ const char* str = old_sp.data() + old_off;\n 1734→ size_t len = std::strlen(str);\n 1735→ new_sp.insert(new_sp.end(), str, str + len + 1);\n 1736→ }\n 1737→\n 1738→ // Remap all string IDs in the output data\n 1739→ for (auto& w : out.ways) {\n 1740→ w.name_id = string_remap[w.name_id];\n 1741→ }\n 1742→ for (auto& a : out.addr_points) {\n 1743→ a.housenumber_id = string_remap[a.housenumber_id];\n 1744→ a.street_id = string_remap[a.street_id];\n 1745→ }\n 1746→ for (auto& iw : out.interp_ways) {\n 1747→ iw.street_id = string_remap[iw.street_id];\n 1748→ }\n 1749→ for (auto& ap : out.admin_polygons) {\n 1750→ ap.name_id = string_remap[ap.name_id];\n 1751→ }\n 1752→\n 1753→ return out;\n 1754→}\n 1755→\n 1756→// --- Write cell index ---\n 1757→\n 1758→static const uint32_t NO_DATA = 0xFFFFFFFFu;\n 1759→\n 1760→// Write entries file from a hash map (used for addr and interp cell maps).\n 1761→static std::vector write_entries(\n 1762→ const std::string& path,\n 1763→ const std::vector& sorted_cells,\n 1764→ const std::unordered_map>& cell_map\n 1765→) {\n 1766→ struct CellRef { uint64_t cell_id; const std::vector* ids; };\n 1767→ std::vector sorted_refs;\n 1768→ sorted_refs.reserve(cell_map.size());\n 1769→ for (auto& [id, ids] : cell_map) {\n 1770→ sorted_refs.push_back({id, &ids});\n 1771→ }\n 1772→ std::sort(sorted_refs.begin(), sorted_refs.end(),\n 1773→ [](const CellRef& a, const CellRef& b) { return a.cell_id < b.cell_id; });\n 1774→\n 1775→ std::vector offsets(sorted_cells.size(), NO_DATA);\n 1776→ size_t total_size = 0;\n 1777→ for (auto& r : sorted_refs) total_size += sizeof(uint16_t) + r.ids->size() * sizeof(uint32_t);\n 1778→\n 1779→ std::vector buf;\n 1780→ buf.reserve(total_size);\n 1781→ uint32_t current = 0;\n 1782→ size_t ri = 0;\n 1783→ for (uint32_t si = 0; si < sorted_cells.size() && ri < sorted_refs.size(); si++) {\n 1784→ if (sorted_cells[si] < sorted_refs[ri].cell_id) continue;\n 1785→ if (sorted_cells[si] > sorted_refs[ri].cell_id) { si--; ri++; continue; }\n 1786→ offsets[si] = current;\n 1787→ const auto& ids = *sorted_refs[ri].ids;\n 1788→ uint16_t count = static_cast(std::min(ids.size(), size_t(65535)));\n 1789→ buf.insert(buf.end(), reinterpret_cast(&count),\n 1790→ reinterpret_cast(&count) + sizeof(count));\n 1791→ buf.insert(buf.end(), reinterpret_cast(ids.data()),\n 1792→ reinterpret_cast(ids.data()) + ids.size() * sizeof(uint32_t));\n 1793→ current += sizeof(uint16_t) + ids.size() * sizeof(uint32_t);\n 1794→ ri++;\n 1795→ }\n 1796→ std::ofstream f(path, std::ios::binary);\n 1797→ f.write(buf.data(), buf.size());\n 1798→ return offsets;\n 1799→}\n 1800→\n 1801→// Write entries file from sorted pairs — parallel chunked merge-join.\n 1802→// Splits sorted_cells into chunks, each thread builds its chunk independently,\n 1803→// then prefix-sum computes global offsets and buffers are concatenated.\n 1804→static std::vector write_entries_from_sorted(\n 1805→ const std::string& path,\n 1806→ const std::vector& sorted_cells,\n 1807→ const std::vector& sorted_pairs\n 1808→) {\n 1809→ std::vector offsets(sorted_cells.size(), NO_DATA);\n 1810→ if (sorted_pairs.empty()) {\n 1811→ std::ofstream f(path, std::ios::binary);\n 1812→ return offsets;\n 1813→ }\n 1814→\n 1815→ // Find where each chunk of sorted_cells starts in sorted_pairs\n 1816→ // using binary search (both are sorted by cell_id)\n 1817→ unsigned int nthreads = std::min(std::thread::hardware_concurrency(), 32u);\n 1818→ if (nthreads == 0) nthreads = 4;\n 1819→ size_t cells_per_chunk = (sorted_cells.size() + nthreads - 1) / nthreads;\n 1820→\n 1821→ struct ChunkResult {\n 1822→ std::vector buf;\n 1823→ size_t cell_start, cell_end; // range in sorted_cells\n 1824→ uint32_t local_size; // total bytes in this chunk's buffer\n 1825→ };\n 1826→ std::vector chunks(nthreads);\n 1827→\n 1828→ // Parallel: each thread processes its range of sorted_cells\n 1829→ std::vector threads;\n 1830→ for (unsigned int t = 0; t < nthreads; t++) {\n 1831→ size_t cs = t * cells_per_chunk;\n 1832→ size_t ce = std::min(cs + cells_per_chunk, sorted_cells.size());\n 1833→ if (cs >= sorted_cells.size()) break;\n 1834→\n 1835→ threads.emplace_back([&, t, cs, ce]() {\n 1836→ auto& chunk = chunks[t];\n 1837→ chunk.cell_start = cs;\n 1838→ chunk.cell_end = ce;\n 1839→ chunk.local_size = 0;\n 1840→\n 1841→ // Binary search for where this chunk's first cell appears in sorted_pairs\n 1842→ size_t pi = std::lower_bound(sorted_pairs.begin(), sorted_pairs.end(),\n 1843→ sorted_cells[cs], [](const CellItemPair& p, uint64_t id) {\n 1844→ return p.cell_id < id;\n 1845→ }) - sorted_pairs.begin();\n 1846→\n 1847→ // Merge-join for this chunk\n 1848→ for (size_t si = cs; si < ce && pi < sorted_pairs.size(); si++) {\n 1849→ if (sorted_cells[si] < sorted_pairs[pi].cell_id) continue;\n 1850→ while (pi < sorted_pairs.size() && sorted_pairs[pi].cell_id < sorted_cells[si]) pi++;\n 1851→ if (pi >= sorted_pairs.size() || sorted_pairs[pi].cell_id != sorted_cells[si]) continue;\n 1852→\n 1853→ offsets[si] = chunk.local_size; // local offset, adjusted later\n 1854→ size_t start = pi;\n 1855→ while (pi < sorted_pairs.size() && sorted_pairs[pi].cell_id == sorted_cells[si]) pi++;\n 1856→ uint16_t count = static_cast(std::min(pi - start, size_t(65535)));\n 1857→ size_t entry_size = sizeof(uint16_t) + (pi - start) * sizeof(uint32_t);\n 1858→ size_t buf_pos = chunk.buf.size();\n 1859→ chunk.buf.resize(buf_pos + entry_size);\n 1860→ memcpy(chunk.buf.data() + buf_pos, &count, sizeof(count));\n 1861→ for (size_t k = start; k < pi; k++) {\n 1862→ memcpy(chunk.buf.data() + buf_pos + sizeof(uint16_t) + (k - start) * sizeof(uint32_t),\n 1863→ &sorted_pairs[k].item_id, sizeof(uint32_t));\n 1864→ }\n 1865→ chunk.local_size += entry_size;\n 1866→ }\n 1867→ });\n 1868→ }\n 1869→ for (auto& t : threads) t.join();\n 1870→\n 1871→ // Prefix-sum: compute global offsets for each chunk\n 1872→ uint32_t global_offset = 0;\n 1873→ for (auto& chunk : chunks) {\n 1874→ for (size_t si = chunk.cell_start; si < chunk.cell_end; si++) {\n 1875→ if (offsets[si] != NO_DATA) {\n 1876→ offsets[si] += global_offset;\n 1877→ }\n 1878→ }\n 1879→ global_offset += chunk.local_size;\n 1880→ }\n 1881→\n 1882→ // Concatenate buffers and write\n 1883→ std::vector buf;\n 1884→ buf.reserve(global_offset);\n 1885→ for (auto& chunk : chunks) {\n 1886→ buf.insert(buf.end(), chunk.buf.begin(), chunk.buf.end());\n 1887→ }\n 1888→\n 1889→ std::ofstream f(path, std::ios::binary);\n 1890→ f.write(buf.data(), buf.size());\n 1891→ return offsets;\n 1892→}\n 1893→\n 1894→static void write_cell_index(\n 1895→ const std::string& cells_path,\n 1896→ const std::string& entries_path,\n 1897→ const std::unordered_map>& cell_map\n 1898→) {\n 1899→ std::vector>> sorted(\n 1900→ cell_map.begin(), cell_map.end());\n 1901→ std::sort(sorted.begin(), sorted.end());\n 1902→\n 1903→ {\n 1904→ std::ofstream f(cells_path, std::ios::binary);\n 1905→ uint32_t current_offset = 0;\n 1906→ for (const auto& [cell_id, ids] : sorted) {\n 1907→ f.write(reinterpret_cast(&cell_id), sizeof(cell_id));\n 1908→ f.write(reinterpret_cast(¤t_offset), sizeof(current_offset));\n 1909→ current_offset += sizeof(uint16_t) + ids.size() * sizeof(uint32_t);\n 1910→ }\n 1911→ }\n 1912→\n 1913→ {\n 1914→ std::ofstream f(entries_path, std::ios::binary);\n 1915→ for (const auto& [cell_id, ids] : sorted) {\n 1916→ uint16_t count = static_cast(std::min(ids.size(), size_t(65535)));\n 1917→ f.write(reinterpret_cast(&count), sizeof(count));\n 1918→ f.write(reinterpret_cast(ids.data()), ids.size() * sizeof(uint32_t));\n 1919→ }\n 1920→ }\n 1921→}\n 1922→\n 1923→// --- Write all index files ---\n 1924→\n 1925→static void write_index(const ParsedData& data, const std::string& output_dir, IndexMode mode) {\n 1926→ ensure_dir(output_dir);\n 1927→ auto _wt = std::chrono::steady_clock::now();\n 1928→\n 1929→ bool write_streets = (mode != IndexMode::AdminOnly);\n 1930→ bool write_addresses = (mode == IndexMode::Full);\n 1931→\n 1932→ if (write_streets) {\n 1933→ // Build sorted_geo_cells from sorted pairs where available (avoids hash map iteration).\n 1934→ // Extract unique cell IDs from each sorted pair vector in parallel, then merge.\n 1935→ std::vector sorted_geo_cells;\n 1936→ {\n 1937→ auto extract_unique_cells = [](const std::vector& pairs) {\n 1938→ std::vector cells;\n 1939→ cells.reserve(pairs.size() / 2);\n 1940→ for (size_t i = 0; i < pairs.size(); ) {\n 1941→ cells.push_back(pairs[i].cell_id);\n 1942→ uint64_t cur = pairs[i].cell_id;\n 1943→ while (i < pairs.size() && pairs[i].cell_id == cur) i++;\n 1944→ }\n 1945→ return cells;\n 1946→ };\n 1947→ auto extract_from_map = [](const std::unordered_map>& m) {\n 1948→ std::vector cells;\n 1949→ cells.reserve(m.size());\n 1950→ for (auto& [id, _] : m) cells.push_back(id);\n 1951→ std::sort(cells.begin(), cells.end());\n 1952→ return cells;\n 1953→ };\n 1954→\n 1955→ // Extract unique cell IDs in parallel\n 1956→ std::vector way_cells, addr_cells, interp_cells;\n 1957→ {\n 1958→ auto f1 = std::async(std::launch::async, [&] {\n 1959→ return !data.sorted_way_cells.empty()\n 1960→ ? extract_unique_cells(data.sorted_way_cells)\n 1961→ : extract_from_map(data.cell_to_ways);\n 1962→ });\n 1963→ if (write_addresses) {\n 1964→ auto f2 = std::async(std::launch::async, [&] {\n 1965→ return !data.sorted_addr_cells.empty()\n 1966→ ? extract_unique_cells(data.sorted_addr_cells)\n 1967→ : extract_from_map(data.cell_to_addrs);\n 1968→ });\n 1969→ auto f3 = std::async(std::launch::async, [&] {\n 1970→ return extract_from_map(data.cell_to_interps);\n 1971→ });\n 1972→ addr_cells = f2.get();\n 1973→ interp_cells = f3.get();\n 1974→ }\n 1975→ way_cells = f1.get();\n 1976→ }\n 1977→\n 1978→ // Merge sorted unique cell ID vectors\n 1979→ sorted_geo_cells.reserve(way_cells.size() + addr_cells.size() + interp_cells.size());\n 1980→ std::merge(way_cells.begin(), way_cells.end(),\n 1981→ addr_cells.begin(), addr_cells.end(),\n 1982→ std::back_inserter(sorted_geo_cells));\n 1983→ if (!interp_cells.empty()) {\n 1984→ std::vector tmp;\n 1985→ tmp.reserve(sorted_geo_cells.size() + interp_cells.size());\n 1986→ std::merge(sorted_geo_cells.begin(), sorted_geo_cells.end(),\n 1987→ interp_cells.begin(), interp_cells.end(),\n 1988→ std::back_inserter(tmp));\n 1989→ sorted_geo_cells = std::move(tmp);\n 1990→ }\n 1991→ // Deduplicate (merge may have duplicates from overlapping cells)\n 1992→ sorted_geo_cells.erase(std::unique(sorted_geo_cells.begin(), sorted_geo_cells.end()),\n 1993→ sorted_geo_cells.end());\n 1994→ }\n 1995→\n 1996→ // Write entry files in parallel (returns positional offset vectors, not hash maps)\n 1997→ std::vector street_offsets, addr_offsets, interp_offsets;\n 1998→ {\n 1999→ auto f1 = std::async(std::launch::async, [&]() {\n 2000→ // Use direct sorted-pair writing for ways (skips hash map extraction + sort)\n 2001→ if (!data.sorted_way_cells.empty()) {\n 2002→ return write_entries_from_sorted(output_dir + \"/street_entries.bin\", sorted_geo_cells, data.sorted_way_cells);\n 2003→ }\n 2004→ return write_entries(output_dir + \"/street_entries.bin\", sorted_geo_cells, data.cell_to_ways);\n 2005→ });\n 2006→ if (write_addresses) {\n 2007→ auto f2 = std::async(std::launch::async, [&]() {\n 2008→ if (!data.sorted_addr_cells.empty()) {\n 2009→ return write_entries_from_sorted(output_dir + \"/addr_entries.bin\", sorted_geo_cells, data.sorted_addr_cells);\n 2010→ }\n 2011→ return write_entries(output_dir + \"/addr_entries.bin\", sorted_geo_cells, data.cell_to_addrs);\n 2012→ });\n 2013→ auto f3 = std::async(std::launch::async, [&]() {\n 2014→ return write_entries(output_dir + \"/interp_entries.bin\", sorted_geo_cells, data.cell_to_interps);\n 2015→ });\n 2016→ addr_offsets = f2.get();\n 2017→ interp_offsets = f3.get();\n 2018→ }\n 2019→ street_offsets = f1.get();\n 2020→ }\n 2021→\n 2022→ log_phase(\" Write: entry files\", _wt);\n 2023→ // Build geo_cells.bin — parallel buffer fill + single write\n 2024→ {\n 2025→ size_t n = sorted_geo_cells.size();\n 2026→ size_t row_size = sizeof(uint64_t) + 3 * sizeof(uint32_t);\n 2027→ std::vector buf(n * row_size);\n 2028→\n 2029→ if (addr_offsets.empty()) addr_offsets.resize(n, NO_DATA);\n 2030→ if (interp_offsets.empty()) interp_offsets.resize(n, NO_DATA);\n 2031→\n 2032→ // Parallel buffer fill — split into chunks across threads\n 2033→ unsigned int nthreads = std::thread::hardware_concurrency();\n 2034→ if (nthreads == 0) nthreads = 4;\n 2035→ size_t chunk = (n + nthreads - 1) / nthreads;\n 2036→ std::vector fill_threads;\n 2037→ for (unsigned int t = 0; t < nthreads; t++) {\n 2038→ size_t start = t * chunk;\n 2039→ size_t end = std::min(start + chunk, n);\n 2040→ if (start >= n) break;\n 2041→ fill_threads.emplace_back([&, start, end]() {\n 2042→ char* ptr = buf.data() + start * row_size;\n 2043→ for (size_t i = start; i < end; i++) {\n 2044→ memcpy(ptr, &sorted_geo_cells[i], sizeof(uint64_t)); ptr += sizeof(uint64_t);\n 2045→ memcpy(ptr, &street_offsets[i], sizeof(uint32_t)); ptr += sizeof(uint32_t);\n 2046→ memcpy(ptr, &addr_offsets[i], sizeof(uint32_t)); ptr += sizeof(uint32_t);\n 2047→ memcpy(ptr, &interp_offsets[i], sizeof(uint32_t)); ptr += sizeof(uint32_t);\n 2048→ }\n 2049→ });\n 2050→ }\n 2051→ for (auto& t : fill_threads) t.join();\n 2052→\n 2053→ std::ofstream f(output_dir + \"/geo_cells.bin\", std::ios::binary);\n 2054→ f.write(buf.data(), buf.size());\n 2055→ }\n 2056→\n 2057→ std::cerr << \"geo index: \" << sorted_geo_cells.size() << \" cells (\"\n 2058→ << data.ways.size() << \" ways, \"\n 2059→ << data.addr_points.size() << \" addrs, \"\n 2060→ << data.interp_ways.size() << \" interps)\" << std::endl;\n 2061→ }\n 2062→\n 2063→ log_phase(\" Write: geo_cells.bin\", _wt);\n 2064→ // Write admin cell index, raw data files, and admin polygons in parallel\n 2065→ auto admin_future = std::async(std::launch::async, [&] {\n 2066→ write_cell_index(output_dir + \"/admin_cells.bin\", output_dir + \"/admin_entries.bin\", data.cell_to_admin);\n 2067→ std::cerr << \"admin index: \" << data.cell_to_admin.size() << \" cells, \" << data.admin_polygons.size() << \" polygons\" << std::endl;\n 2068→ });\n 2069→\n 2070→ std::vector> write_futures;\n 2071→\n 2072→ if (write_streets) {\n 2073→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2074→ std::ofstream f(output_dir + \"/street_ways.bin\", std::ios::binary);\n 2075→ f.write(reinterpret_cast(data.ways.data()), data.ways.size() * sizeof(WayHeader));\n 2076→ }));\n 2077→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2078→ std::ofstream f(output_dir + \"/street_nodes.bin\", std::ios::binary);\n 2079→ f.write(reinterpret_cast(data.street_nodes.data()), data.street_nodes.size() * sizeof(NodeCoord));\n 2080→ }));\n 2081→ if (write_addresses) {\n 2082→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2083→ std::ofstream f(output_dir + \"/addr_points.bin\", std::ios::binary);\n 2084→ f.write(reinterpret_cast(data.addr_points.data()), data.addr_points.size() * sizeof(AddrPoint));\n 2085→ }));\n 2086→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2087→ std::ofstream f(output_dir + \"/interp_ways.bin\", std::ios::binary);\n 2088→ f.write(reinterpret_cast(data.interp_ways.data()), data.interp_ways.size() * sizeof(InterpWay));\n 2089→ }));\n 2090→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2091→ std::ofstream f(output_dir + \"/interp_nodes.bin\", std::ios::binary);\n 2092→ f.write(reinterpret_cast(data.interp_nodes.data()), data.interp_nodes.size() * sizeof(NodeCoord));\n 2093→ }));\n 2094→ }\n 2095→ }\n 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+ \"/admin_polygons.bin\", std::ios::binary);\n 2099→ f.write(reinterpret_cast(data.admin_polygons.data()), data.admin_polygons.size() * sizeof(AdminPolygon));\n 2100→ }));\n 2101→\n 2102→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2103→ std::ofstream f(output_dir + \"/admin_vertices.bin\", std::ios::binary);\n 2104→ f.write(reinterpret_cast(data.admin_vertices.data()), data.admin_vertices.size() * sizeof(NodeCoord));\n 2105→ }));\n 2106→\n 2107→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2108→ std::ofstream f(output_dir + \"/strings.bin\", std::ios::binary);\n 2109→ f.write(data.string_pool.data().data(), data.string_pool.data().size());\n 2110→ std::cerr << \"strings.bin: \" << data.string_pool.data().size() << \" bytes\" << std::endl;\n 2111→ }));\n 2112→\n 2113→ // Wait for all parallel writes\n 2114→ log_phase(\" Write: parallel data files launched\", _wt);\n 2115→ admin_future.get();\n 2116→ for (auto& f : write_futures) f.get();\n 2117→}\n 2118→\n 2119→// --- Main ---\n 2120→\n 2121→int main(int argc, char* argv[]) {\n 2122→ if (argc < 2) {\n 2123→ std::cerr << \"Usage: build-index [options]\" << std::endl;\n 2124→ std::cerr << \" build-index --load-cache [options]\" << std::endl;\n 2125→ std::cerr << std::endl;\n 2126→ std::cerr << \"Options:\" << std::endl;\n 2127→ std::cerr << \" --street-level N S2 cell level for streets (default: 17)\" << std::endl;\n 2128→ std::cerr << \" --admin-level N S2 cell level for admin (default: 10)\" << std::endl;\n 2129→ std::cerr << \" --max-admin-level N Only include admin levels <= N\" << std::endl;\n 2130→ std::cerr << \" --save-cache Save parsed data to cache file\" << std::endl;\n 2131→ std::cerr << \" --load-cache Load from cache instead of PBF\" << std::endl;\n 2132→ std::cerr << \" --multi-output Write full, no-addresses, admin-only indexes\" << std::endl;\n 2133→ std::cerr << \" --continents Also generate per-continent indexes\" << std::endl;\n 2134→ std::cerr << \" --mode Index mode: full, no-addresses, admin-only (default: full)\" << std::endl;\n 2135→ std::cerr << \" --admin-only Shorthand for --mode admin-only\" << std::endl;\n 2136→ std::cerr << \" --no-addresses Shorthand for --mode no-addresses\" << std::endl;\n 2137→ std::cerr << \" --parallel-admin Use parallel admin boundary assembly (default: on)\" << std::endl;\n 2138→ std::cerr << \" --no-parallel-admin Disable parallel admin assembly (use osmium fallback)\" << std::endl;\n 2139→ return 1;\n 2140→ }\n 2141→\n 2142→ std::string output_dir = argv[1];\n 2143→ std::vector input_files;\n 2144→ std::string save_cache_path;\n 2145→ std::string load_cache_path;\n 2146→ bool multi_output = false;\n 2147→ bool generate_continents = false;\n 2148→ bool parallel_admin = true;\n 2149→ IndexMode mode = IndexMode::Full;\n 2150→\n 2151→ for (int i = 2; i < argc; i++) {\n 2152→ std::string arg = argv[i];\n 2153→ if (arg == \"--street-level\" && i + 1 < argc) {\n 2154→ kStreetCellLevel = std::atoi(argv[++i]);\n 2155→ } else if (arg == \"--admin-level\" && i + 1 < argc) {\n 2156→ kAdminCellLevel = std::atoi(argv[++i]);\n 2157→ } else if (arg == \"--admin-only\") {\n 2158→ mode = IndexMode::AdminOnly;\n 2159→ } else if (arg == \"--no-addresses\") {\n 2160→ mode = IndexMode::NoAddresses;\n 2161→ } else if (arg == \"--max-admin-level\" && i + 1 < argc) {\n 2162→ kMaxAdminLevel = std::atoi(argv[++i]);\n 2163→ } else if (arg == \"--save-cache\" && i + 1 < argc) {\n 2164→ save_cache_path = argv[++i];\n 2165→ } else if (arg == \"--load-cache\" && i + 1 < argc) {\n 2166→ load_cache_path = argv[++i];\n 2167→ } else if (arg == \"--multi-output\") {\n 2168→ multi_output = true;\n 2169→ } else if (arg == \"--continents\") {\n 2170→ generate_continents = true;\n 2171→ } else if (arg == \"--parallel-admin\") {\n 2172→ parallel_admin = true;\n 2173→ } else if (arg == \"--no-parallel-admin\") {\n 2174→ parallel_admin = false;\n 2175→ } else if (arg == \"--mode\" && i + 1 < argc) {\n 2176→ std::string mode_str = argv[++i];\n 2177→ if (mode_str == \"full\") {\n 2178→ mode = IndexMode::Full;\n 2179→ } else if (mode_str == \"no-addresses\") {\n 2180→ mode = IndexMode::NoAddresses;\n 2181→ } else if (mode_str == \"admin-only\") {\n 2182→ mode = IndexMode::AdminOnly;\n 2183→ } else {\n 2184→ std::cerr << \"Error: unknown mode '\" << mode_str << \"'\" << std::endl;\n 2185→ return 1;\n 2186→ }\n 2187→ } else {\n 2188→ input_files.push_back(arg);\n 2189→ }\n 2190→ }\n 2191→\n 2192→ ParsedData data;\n 2193→ auto _pt = std::chrono::steady_clock::now();\n 2194→\n 2195→ if (!load_cache_path.empty()) {\n 2196→ // Load from cache\n 2197→ if (!deserialize_cache(data, load_cache_path)) {\n 2198→ std::cerr << \"Error: failed to load cache\" << std::endl;\n 2199→ return 1;\n 2200→ }\n 2201→ } else {\n 2202→ // Parse PBF files (always collect everything)\n 2203→ if (input_files.empty()) {\n 2204→ std::cerr << \"Error: no input files specified and no --load-cache\" << std::endl;\n 2205→ return 1;\n 2206→ }\n 2207→\n 2208→ // Create thread pool for concurrent admin polygon S2 covering\n 2209→ unsigned int num_threads = std::max(1u, std::thread::hardware_concurrency() > 4 ? std::thread::hardware_concurrency() - 4 : 1u);\n 2210→ std::cerr << \"Using \" << num_threads << \" worker threads.\" << std::endl;\n 2211→ AdminCoverPool admin_pool(num_threads);\n 2212→ BuildHandler handler(data, &admin_pool);\n 2213→\n 2214→ // Dense array node location index — lockless parallel writes\n 2215→ // Planet OSM node IDs max ~12.5 billion. 8 bytes per Location = 100GB virtual.\n 2216→ // MAP_NORESERVE means OS only allocates pages on write (~80GB for 10B nodes).\n 2217→ static const size_t MAX_NODE_ID = 15000000000ULL;\n 2218→ struct DenseIndex {\n 2219→ osmium::Location* data;\n 2220→ size_t capacity;\n 2221→\n 2222→ DenseIndex() : capacity(MAX_NODE_ID) {\n 2223→ void* ptr = mmap(nullptr, capacity * sizeof(osmium::Location),\n 2224→ PROT_READ | PROT_WRITE, MAP_PRIVATE | MAP_ANONYMOUS | MAP_NORESERVE,\n 2225→ -1, 0);\n 2226→ if (ptr == MAP_FAILED) {\n 2227→ std::cerr << \"Error: failed to mmap dense node index (\"\n 2228→ << (capacity * sizeof(osmium::Location) / (1024*1024*1024)) << \"GB virtual)\" << std::endl;\n 2229→ std::exit(1);\n 2230→ }\n 2231→ data = static_cast(ptr);\n 2232→ std::cerr << \"Allocated dense node index: \" << (capacity * sizeof(osmium::Location) / (1024*1024*1024))\n 2233→ << \"GB virtual address space\" << std::endl;\n 2234→ }\n 2235→\n 2236→ ~DenseIndex() {\n 2237→ munmap(data, capacity * sizeof(osmium::Location));\n 2238→ }\n 2239→\n 2240→ // Lockless — each node ID maps to a unique array slot\n 2241→ void set(osmium::unsigned_object_id_type id, osmium::Location loc) {\n 2242→ if (id >= capacity) {\n 2243→ std::cerr << \"FATAL: node ID \" << id << \" exceeds dense index capacity \" << capacity << std::endl;\n 2244→ std::exit(1);\n 2245→ }\n 2246→ data[id] = loc;\n 2247→ }\n 2248→\n 2249→ osmium::Location get(osmium::unsigned_object_id_type id) const {\n 2250→ if (id >= capacity) return osmium::Location{};\n 2251→ return data[id];\n 2252→ }\n 2253→\n 2254→ void set_batch(const std::vector>& batch) {\n 2255→ for (const auto& [id, loc] : batch) {\n 2256→ if (id >= capacity) {\n 2257→ std::cerr << \"FATAL: node ID \" << id << \" exceeds dense index capacity \" << capacity << std::endl;\n 2258→ std::exit(1);\n 2259→ }\n 2260→ data[id] = loc;\n 2261→ }\n 2262→ }\n 2263→ } index;\n 2264→\n 2265→ for (const auto& input_file : input_files) {\n 2266→ std::cerr << \"Processing \" << input_file << \"...\" << std::endl;\n 2267→\n 2268→ // --- Pass 1: collect relation members for multipolygon assembly ---\n 2269→ std::cerr << \" Pass 1: scanning relations...\" << std::endl;\n 2270→\n 2271→ osmium::area::Assembler::config_type assembler_config;\n 2272→ osmium::area::MultipolygonManager mp_manager{assembler_config};\n 2273→\n 2274→ // Also collect admin/postal relation metadata for parallel assembly\n 2275→ RelationCollector rel_collector(data.collected_relations);\n 2276→\n 2277→ {\n 2278→ osmium::io::Reader reader1{input_file, osmium::osm_entity_bits::relation};\n 2279→ if (parallel_admin) {\n 2280→ // Run both: mp_manager (for fallback compatibility) and rel_collector\n 2281→ osmium::apply(reader1, mp_manager, rel_collector);\n 2282→ } else {\n 2283→ osmium::apply(reader1, mp_manager);\n 2284→ }\n 2285→ reader1.close();\n 2286→ mp_manager.prepare_for_lookup();\n 2287→ }\n 2288→ if (parallel_admin) {\n 2289→ std::cerr << \" Collected \" << data.collected_relations.size()\n 2290→ << \" admin/postal relations for parallel assembly.\" << std::endl;\n 2291→ }\n 2292→\n 2293→ // --- Combined Pass 2+3: nodes then ways in a single PBF read ---\n 2294→ // PBF guarantees ordering: nodes → ways → relations.\n 2295→ // We read everything in one pass, processing nodes first, then\n 2296→ // transitioning to way processing when the first way block arrives.\n 2297→ log_phase(\"Pass 1: relation scanning\", _pt);\n 2298→\n 2299→ // Build admin_way_ids BEFORE the combined pass (needed during way processing)\n 2300→ std::unordered_set admin_way_ids;\n 2301→ if (parallel_admin) {\n 2302→ for (const auto& rel : data.collected_relations) {\n 2303→ for (const auto& [way_id, role] : rel.members) {\n 2304→ admin_way_ids.insert(way_id);\n 2305→ }\n 2306→ }\n 2307→ std::cerr << \" Admin assembly needs \" << admin_way_ids.size() << \" way geometries.\" << std::endl;\n 2308→ }\n 2309→\n 2310→ std::cerr << \" Pass 2+3: processing nodes and ways in single read...\" << std::endl;\n 2311→\n 2312→ {\n 2313→ // Shared queue infrastructure for both phases\n 2314→ std::mutex queue_mutex;\n 2315→ std::condition_variable queue_cv;\n 2316→ std::deque block_queue;\n 2317→ bool reader_done = false;\n 2318→ const size_t MAX_QUEUE = 64;\n 2319→\n 2320→ struct NodeThreadLocal {\n 2321→ std::vector> addr_coords;\n 2322→ std::vector> addr_strings;\n 2323→ uint64_t count = 0;\n 2324→ };\n 2325→ std::vector ntld(num_threads);\n 2326→ std::atomic blocks_done{0};\n 2327→\n 2328→ // Worker threads\n 2329→ std::vector node_workers;\n 2330→ for (unsigned int t = 0; t < num_threads; t++) {\n 2331→ node_workers.emplace_back([&, t]() {\n 2332→ auto& local = ntld[t];\n 2333→ std::vector> loc_batch;\n 2334→ loc_batch.reserve(8192);\n 2335→\n 2336→ while (true) {\n 2337→ osmium::memory::Buffer block;\n 2338→ {\n 2339→ std::unique_lock lock(queue_mutex);\n 2340→ queue_cv.wait(lock, [&]{ return !block_queue.empty() || reader_done; });\n 2341→ if (block_queue.empty() && reader_done) break;\n 2342→ block = std::move(block_queue.front());\n 2343→ block_queue.pop_front();\n 2344→ }\n 2345→ queue_cv.notify_one(); // wake reader if it was waiting\n 2346→\n 2347→ for (const auto& item : block) {\n 2348→ if (item.type() == osmium::item_type::node) {\n 2349→ const auto& node = static_cast(item);\n 2350→ if (!node.location().valid()) continue;\n 2351→ loc_batch.push_back({node.positive_id(), node.location()});\n 2352→\n 2353→ const char* housenumber = node.tags()[\"addr:housenumber\"];\n 2354→ if (housenumber) {\n 2355→ const char* street = node.tags()[\"addr:street\"];\n 2356→ if (street) {\n 2357→ local.addr_coords.push_back({node.location().lat(), node.location().lon()});\n 2358→ local.addr_strings.push_back({housenumber, street});\n 2359→ local.count++;\n 2360→ }\n 2361→ }\n 2362→ }\n 2363→ }\n 2364→\n 2365→ // Flush location batch (sharded index handles its own locking)\n 2366→ if (!loc_batch.empty()) {\n 2367→ index.set_batch(loc_batch);\n 2368→ loc_batch.clear();\n 2369→ }\n 2370→\n 2371→ uint64_t n = blocks_done.fetch_add(1) + 1;\n 2372→ if (n % 1000 == 0) {\n 2373→ std::cerr << \" Processed \" << n << \" node blocks...\" << std::endl;\n 2374→ }\n 2375→ }\n 2376→\n 2377→ // Flush remaining\n 2378→ if (!loc_batch.empty()) {\n 2379→ index.set_batch(loc_batch);\n 2380→ }\n 2381→ });\n 2382→ }\n 2383→\n 2384→ // Single reader for all entity types — processes nodes first,\n 2385→ // then transitions to way processing when first way block arrives.\n 2386→ osmium::io::Reader combined_reader{input_file};\n 2387→ bool nodes_done = false;\n 2388→ osmium::memory::Buffer first_way_buf; // stash the first way block\n 2389→\n 2390→ // Phase 1: Feed node blocks to node workers\n 2391→ while (auto buf = combined_reader.read()) {\n 2392→ // Check if this buffer contains nodes or ways/relations\n 2393→ bool has_node = false;\n 2394→ for (const auto& item : buf) {\n 2395→ if (item.type() == osmium::item_type::node) { has_node = true; break; }\n 2396→ }\n 2397→\n 2398→ if (has_node) {\n 2399→ std::unique_lock lock(queue_mutex);\n 2400→ queue_cv.wait(lock, [&]{ return block_queue.size() < MAX_QUEUE; });\n 2401→ block_queue.push_back(std::move(buf));\n 2402→ queue_cv.notify_one();\n 2403→ } else {\n 2404→ // First non-node block — stash it and transition\n 2405→ first_way_buf = std::move(buf);\n 2406→ nodes_done = true;\n 2407→ break;\n 2408→ }\n 2409→ }\n 2410→\n 2411→ // Signal node workers done\n 2412→ {\n 2413→ std::lock_guard lock(queue_mutex);\n 2414→ reader_done = true;\n 2415→ }\n 2416→ queue_cv.notify_all();\n 2417→ for (auto& w : node_workers) w.join();\n 2418→\n 2419→ // Merge address points\n 2420→ uint64_t total_addrs = 0;\n 2421→ for (auto& local : ntld) {\n 2422→ for (size_t j = 0; j < local.addr_coords.size(); j++) {\n 2423→ uint64_t dummy = 0;\n 2424→ add_addr_point(data, local.addr_coords[j].first, local.addr_coords[j].second,\n 2425→ local.addr_strings[j].first.c_str(),\n 2426→ local.addr_strings[j].second.c_str(), dummy);\n 2427→ }\n 2428→ total_addrs += local.count;\n 2429→ }\n 2430→ std::cerr << \" Node processing complete: \" << total_addrs\n 2431→ << \" address points collected.\" << std::endl;\n 2432→ log_phase(\"Pass 2: node processing\", _pt);\n 2433→ std::cerr << \" Processing ways with \" << num_threads << \" threads...\" << std::endl;\n 2434→\n 2435→ // --- Phase 2: Way processing using same reader ---\n 2436→\n 2437→ // Thread-local data for parallel way processing\n 2438→ struct ThreadLocalData {\n 2439→ std::vector ways;\n 2440→ std::vector street_nodes;\n 2441→ std::vector deferred_ways;\n 2442→ std::vector interp_ways;\n 2443→ std::vector interp_nodes;\n 2444→ std::vector deferred_interps;\n 2445→ std::vector building_addrs;\n 2446→ std::vector> building_addr_coords; // lat,lng for S2 cell\n 2447→ std::vector way_strings; // way name strings\n 2448→ std::vector> addr_strings; // building addr {hn, street}\n 2449→ std::vector interp_strings; // interp street name strings\n 2450→ uint64_t way_count = 0;\n 2451→ uint64_t building_addr_count = 0;\n 2452→ uint64_t interp_count = 0;\n 2453→ // Way geometries for parallel admin assembly\n 2454→ struct WayGeomEntry {\n 2455→ int64_t way_id;\n 2456→ std::vector> coords;\n 2457→ int64_t first_node_id;\n 2458→ int64_t last_node_id;\n 2459→ };\n 2460→ std::vector way_geoms;\n 2461→ // Closed-way admin polygons (ways with boundary=administrative)\n 2462→ struct ClosedWayAdmin {\n 2463→ std::vector> vertices;\n 2464→ std::string name;\n 2465→ uint8_t admin_level;\n 2466→ std::string country_code;\n 2467→ };\n 2468→ std::vector closed_way_admins;\n 2469→ };\n 2470→\n 2471→ // Read buffers and dispatch to thread pool\n 2472→ // Streaming producer-consumer for way blocks\n 2473→ std::mutex way_queue_mutex;\n 2474→ std::condition_variable way_queue_cv;\n 2475→ std::deque way_block_queue;\n 2476→ bool way_reader_done = false;\n 2477→ const size_t WAY_MAX_QUEUE = 64;\n 2478→\n 2479→ std::vector tld(num_threads);\n 2480→ std::atomic way_blocks_done{0};\n 2481→\n 2482→ std::vector workers;\n 2483→ for (unsigned int t = 0; t < num_threads; t++) {\n 2484→ workers.emplace_back([&, t]() {\n 2485→ auto& local = tld[t];\n 2486→ while (true) {\n 2487→ osmium::memory::Buffer block;\n 2488→ {\n 2489→ std::unique_lock lock(way_queue_mutex);\n 2490→ way_queue_cv.wait(lock, [&]{ return !way_block_queue.empty() || way_reader_done; });\n 2491→ if (way_block_queue.empty() && way_reader_done) break;\n 2492→ block = std::move(way_block_queue.front());\n 2493→ way_block_queue.pop_front();\n 2494→ }\n 2495→ way_queue_cv.notify_one();\n 2496→\n 2497→ for (const auto& item : block) {\n 2498→ if (item.type() == osmium::item_type::way) {\n 2499→ const auto& way = static_cast(item);\n 2500→\n 2501→ // Resolve node locations (read-only from shared index)\n 2502→ // We need to check if nodes have valid locations\n 2503→ const auto& wnodes = way.nodes();\n 2504→\n 2505→ // Address interpolation\n 2506→ const char* interpolation = way.tags()[\"addr:interpolation\"];\n 2507→ if (interpolation) {\n 2508→ if (wnodes.size() >= 2) {\n 2509→ bool all_valid = true;\n 2510→ for (const auto& nr : wnodes) {\n 2511→ try {\n 2512→ auto loc = index.get(nr.positive_ref());\n 2513→ if (!loc.valid()) { all_valid = false; break; }\n 2514→ } catch (...) { all_valid = false; break; }\n 2515→ }\n 2516→ if (all_valid) {\n 2517→ const char* street = way.tags()[\"addr:street\"];\n 2518→ if (street) {\n 2519→ uint32_t interp_id = static_cast(local.interp_ways.size());\n 2520→ uint32_t node_offset = static_cast(local.interp_nodes.size());\n 2521→\n 2522→ for (const auto& nr : wnodes) {\n 2523→ auto loc = index.get(nr.positive_ref());\n 2524→ local.interp_nodes.push_back({\n 2525→ static_cast(loc.lat()),\n 2526→ static_cast(loc.lon())\n 2527→ });\n 2528→ }\n 2529→\n 2530→ uint8_t interp_type = 0;\n 2531→ if (std::strcmp(interpolation, \"even\") == 0) interp_type = 1;\n 2532→ else if (std::strcmp(interpolation, \"odd\") == 0) interp_type = 2;\n 2533→\n 2534→ InterpWay iw{};\n 2535→ iw.node_offset = node_offset;\n 2536→ iw.node_count = static_cast(std::min(wnodes.size(), size_t(255)));\n 2537→ iw.street_id = 0; // placeholder, intern later\n 2538→ iw.start_number = 0;\n 2539→ iw.end_number = 0;\n 2540→ iw.interpolation = interp_type;\n 2541→ local.interp_ways.push_back(iw);\n 2542→ local.interp_strings.push_back(street);\n 2543→ local.deferred_interps.push_back({interp_id, node_offset, iw.node_count});\n 2544→ local.interp_count++;\n 2545→ }\n 2546→ }\n 2547→ }\n 2548→ continue;\n 2549→ }\n 2550→\n 2551→ // Building addresses\n 2552→ const char* housenumber = way.tags()[\"addr:housenumber\"];\n 2553→ if (housenumber) {\n 2554→ const char* street = way.tags()[\"addr:street\"];\n 2555→ if (street && !wnodes.empty()) {\n 2556→ double sum_lat = 0, sum_lng = 0;\n 2557→ int valid = 0;\n 2558→ for (const auto& nr : wnodes) {\n 2559→ try {\n 2560→ auto loc = index.get(nr.positive_ref());\n 2561→ if (loc.valid()) {\n 2562→ sum_lat += loc.lat();\n 2563→ sum_lng += loc.lon();\n 2564→ valid++;\n 2565→ }\n 2566→ } catch (...) {}\n 2567→ }\n 2568→ if (valid > 0) {\n 2569→ // Store coords for later S2 cell computation\n 2570→ local.building_addr_coords.push_back({sum_lat / valid, sum_lng / valid});\n 2571→ // Placeholder addr point — string IDs filled in during merge\n 2572→ local.building_addrs.push_back({\n 2573→ static_cast(sum_lat / valid),\n 2574→ static_cast(sum_lng / valid),\n 2575→ 0, 0 // placeholder string IDs\n 2576→ });\n 2577→ // Store strings for later interning\n 2578→ local.addr_strings.push_back({housenumber, street});\n 2579→ local.building_addr_count++;\n 2580→ }\n 2581→ }\n 2582→ }\n 2583→\n 2584→ // Highway ways\n 2585→ const char* highway = way.tags()[\"highway\"];\n 2586→ if (highway && is_included_highway(highway)) {\n 2587→ const char* name = way.tags()[\"name\"];\n 2588→ if (name && wnodes.size() >= 2) {\n 2589→ bool all_valid = true;\n 2590→ for (const auto& nr : wnodes) {\n 2591→ try {\n 2592→ auto loc = index.get(nr.positive_ref());\n 2593→ if (!loc.valid()) { all_valid = false; break; }\n 2594→ } catch (...) { all_valid = false; break; }\n 2595→ 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{"parentUuid":"65f27ca0-9514-48d5-9446-fb037ff85e3e","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EZkaVXwbp7VoRAsy66NXJm","toolUseID":"toolu_01EZkaVXwbp7VoRAsy66NXJm","timestamp":"2026-03-23T10:04:35.164Z","uuid":"ed2b48a7-5673-41f6-926d-644623cec24f","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"65f27ca0-9514-48d5-9446-fb037ff85e3e","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EZkaVXwbp7VoRAsy66NXJm","type":"tool_result","content":" 2595→ }\n 2596→ if (all_valid) {\n 2597→ uint32_t way_id = static_cast(local.ways.size());\n 2598→ uint32_t node_offset = static_cast(local.street_nodes.size());\n 2599→\n 2600→ for (const auto& nr : wnodes) {\n 2601→ auto loc = index.get(nr.positive_ref());\n 2602→ local.street_nodes.push_back({\n 2603→ static_cast(loc.lat()),\n 2604→ static_cast(loc.lon())\n 2605→ });\n 2606→ }\n 2607→\n 2608→ WayHeader header{};\n 2609→ header.node_offset = node_offset;\n 2610→ header.node_count = static_cast(std::min(wnodes.size(), size_t(255)));\n 2611→ header.name_id = 0; // placeholder, intern later\n 2612→ local.ways.push_back(header);\n 2613→ local.way_strings.push_back(name);\n 2614→ local.deferred_ways.push_back({way_id, node_offset, header.node_count});\n 2615→ local.way_count++;\n 2616→ }\n 2617→ }\n 2618→ }\n 2619→\n 2620→ // Store way geometry only for admin boundary member ways\n 2621→ if (parallel_admin && !wnodes.empty() && admin_way_ids.count(way.id())) {\n 2622→ std::vector> geom;\n 2623→ for (const auto& nr : wnodes) {\n 2624→ try {\n 2625→ auto loc = index.get(nr.positive_ref());\n 2626→ if (loc.valid()) geom.push_back({loc.lat(), loc.lon()});\n 2627→ } catch (...) {}\n 2628→ }\n 2629→ if (!geom.empty()) {\n 2630→ int64_t first_nid = wnodes.front().positive_ref();\n 2631→ int64_t last_nid = wnodes.back().positive_ref();\n 2632→ local.way_geoms.push_back({way.id(), std::move(geom), first_nid, last_nid});\n 2633→ }\n 2634→ }\n 2635→\n 2636→ // Handle closed ways that are admin boundaries themselves\n 2637→ // Osmium creates areas from closed ways independently of\n 2638→ // multipolygon relations, even if the way is a relation member.\n 2639→ if (parallel_admin) {\n 2640→ const char* boundary = way.tags()[\"boundary\"];\n 2641→ if (boundary) {\n 2642→ bool is_admin = (std::strcmp(boundary, \"administrative\") == 0);\n 2643→ bool is_postal = (std::strcmp(boundary, \"postal_code\") == 0);\n 2644→ if ((is_admin || is_postal) && wnodes.size() >= 4 &&\n 2645→ wnodes.front().ref() == wnodes.back().ref()) {\n 2646→ // Closed way forming an admin polygon\n 2647→ uint8_t al = 0;\n 2648→ if (is_admin) {\n 2649→ const char* level_str = way.tags()[\"admin_level\"];\n 2650→ if (level_str) al = static_cast(std::atoi(level_str));\n 2651→ } else {\n 2652→ al = 11;\n 2653→ }\n 2654→ int max_al = is_postal ? 11 : 10;\n 2655→ if (al >= 2 && al <= max_al && (kMaxAdminLevel == 0 || al <= kMaxAdminLevel)) {\n 2656→ const char* aname = way.tags()[\"name\"];\n 2657→ if (!aname && is_admin) continue; // admin needs name\n 2658→ std::string name_str;\n 2659→ if (is_postal) {\n 2660→ const char* pc = way.tags()[\"postal_code\"];\n 2661→ if (!pc) pc = aname;\n 2662→ if (!pc) continue; // postal needs postal_code or name\n 2663→ name_str = pc;\n 2664→ } else {\n 2665→ name_str = aname;\n 2666→ }\n 2667→ {\n 2668→ std::vector> verts;\n 2669→ bool all_valid = true;\n 2670→ for (const auto& nr : wnodes) {\n 2671→ try {\n 2672→ auto loc = index.get(nr.positive_ref());\n 2673→ if (loc.valid()) {\n 2674→ verts.push_back({loc.lat(), loc.lon()});\n 2675→ } else { all_valid = false; break; }\n 2676→ } catch (...) { all_valid = false; break; }\n 2677→ }\n 2678→ if (all_valid && verts.size() >= 3) {\n 2679→ std::string cc;\n 2680→ if (al == 2) {\n 2681→ const char* iso = way.tags()[\"ISO3166-1:alpha2\"];\n 2682→ if (iso) cc = iso;\n 2683→ }\n 2684→ local.closed_way_admins.push_back({\n 2685→ std::move(verts),\n 2686→ std::move(name_str),\n 2687→ al, std::move(cc)\n 2688→ });\n 2689→ }\n 2690→ }\n 2691→ }\n 2692→ }\n 2693→ }\n 2694→ }\n 2695→ }\n 2696→ }\n 2697→\n 2698→ uint64_t done = way_blocks_done.fetch_add(1) + 1;\n 2699→ if (done % 1000 == 0) {\n 2700→ std::cerr << \" Processed \" << done << \" way blocks...\" << std::endl;\n 2701→ }\n 2702→ }\n 2703→ });\n 2704→ }\n 2705→\n 2706→ // Way reader: use the combined_reader (continuing from where nodes left off)\n 2707→ {\n 2708→ // First, push the stashed way buffer\n 2709→ if (first_way_buf) {\n 2710→ std::unique_lock lock(way_queue_mutex);\n 2711→ way_queue_cv.wait(lock, [&]{ return way_block_queue.size() < WAY_MAX_QUEUE; });\n 2712→ way_block_queue.push_back(std::move(first_way_buf));\n 2713→ way_queue_cv.notify_one();\n 2714→ }\n 2715→ // Continue reading remaining blocks from the same reader\n 2716→ while (auto buf = combined_reader.read()) {\n 2717→ {\n 2718→ std::unique_lock lock(way_queue_mutex);\n 2719→ way_queue_cv.wait(lock, [&]{ return way_block_queue.size() < WAY_MAX_QUEUE; });\n 2720→ way_block_queue.push_back(std::move(buf));\n 2721→ }\n 2722→ way_queue_cv.notify_one();\n 2723→ }\n 2724→ combined_reader.close();\n 2725→ {\n 2726→ std::lock_guard lock(way_queue_mutex);\n 2727→ way_reader_done = true;\n 2728→ }\n 2729→ way_queue_cv.notify_all();\n 2730→ }\n 2731→\n 2732→ for (auto& w : workers) w.join();\n 2733→ std::cerr << \" Parallel way processing complete.\" << std::endl;\n 2734→\n 2735→ // Process areas/multipolygons — sequential fallback path\n 2736→ if (!parallel_admin) {\n 2737→ // Use a custom location handler that reads from our dense index\n 2738→ std::cerr << \" Processing multipolygon areas (sequential)...\" << std::endl;\n 2739→ {\n 2740→ struct DenseLocationHandler : public osmium::handler::Handler {\n 2741→ DenseIndex& idx;\n 2742→ explicit DenseLocationHandler(DenseIndex& i) : idx(i) {}\n 2743→ void node(osmium::Node& node) {\n 2744→ node.set_location(idx.get(node.positive_id()));\n 2745→ }\n 2746→ void way(osmium::Way& way) {\n 2747→ for (auto& nr : way.nodes()) {\n 2748→ nr.set_location(idx.get(nr.positive_ref()));\n 2749→ }\n 2750→ }\n 2751→ } dense_loc_handler{index};\n 2752→\n 2753→ osmium::io::Reader reader_rels{input_file};\n 2754→ osmium::apply(reader_rels, dense_loc_handler,\n 2755→ mp_manager.handler([&handler](osmium::memory::Buffer&& buffer) {\n 2756→ osmium::apply(buffer, handler);\n 2757→ }));\n 2758→ reader_rels.close();\n 2759→ }\n 2760→ }\n 2761→\n 2762→ // Merge thread-local way/interp data into main ParsedData\n 2763→ std::cerr << \" Merging thread-local data...\" << std::endl;\n 2764→ uint64_t total_ways = 0, total_building_addrs = 0, total_interps = 0;\n 2765→ for (auto& local : tld) {\n 2766→ uint32_t way_base = static_cast(data.ways.size());\n 2767→ uint32_t node_base = static_cast(data.street_nodes.size());\n 2768→ uint32_t interp_base = static_cast(data.interp_ways.size());\n 2769→ uint32_t interp_node_base = static_cast(data.interp_nodes.size());\n 2770→\n 2771→ // Merge street ways\n 2772→ for (size_t i = 0; i < local.ways.size(); i++) {\n 2773→ auto h = local.ways[i];\n 2774→ h.node_offset += node_base;\n 2775→ h.name_id = data.string_pool.intern(local.way_strings[i]);\n 2776→ data.ways.push_back(h);\n 2777→ }\n 2778→ data.street_nodes.insert(data.street_nodes.end(),\n 2779→ local.street_nodes.begin(), local.street_nodes.end());\n 2780→\n 2781→ // Remap deferred ways\n 2782→ for (auto dw : local.deferred_ways) {\n 2783→ dw.way_id += way_base;\n 2784→ dw.node_offset += node_base;\n 2785→ data.deferred_ways.push_back(dw);\n 2786→ }\n 2787→\n 2788→ // Merge building addresses\n 2789→ for (size_t i = 0; i < local.building_addrs.size(); i++) {\n 2790→ uint64_t dummy = 0;\n 2791→ add_addr_point(data, local.building_addrs[i].lat, local.building_addrs[i].lng,\n 2792→ local.addr_strings[i].first.c_str(),\n 2793→ local.addr_strings[i].second.c_str(), dummy);\n 2794→ }\n 2795→\n 2796→ // Merge interpolation ways\n 2797→ for (size_t i = 0; i < local.interp_ways.size(); i++) {\n 2798→ auto iw = local.interp_ways[i];\n 2799→ iw.node_offset += interp_node_base;\n 2800→ iw.street_id = data.string_pool.intern(local.interp_strings[i]);\n 2801→ data.interp_ways.push_back(iw);\n 2802→ }\n 2803→ data.interp_nodes.insert(data.interp_nodes.end(),\n 2804→ local.interp_nodes.begin(), local.interp_nodes.end());\n 2805→\n 2806→ // Remap deferred interps\n 2807→ for (auto di : local.deferred_interps) {\n 2808→ di.interp_id += interp_base;\n 2809→ di.node_offset += interp_node_base;\n 2810→ data.deferred_interps.push_back(di);\n 2811→ }\n 2812→\n 2813→ total_ways += local.way_count;\n 2814→ total_building_addrs += local.building_addr_count;\n 2815→ total_interps += local.interp_count;\n 2816→\n 2817→ // Merge way geometries for parallel admin assembly\n 2818→ if (parallel_admin) {\n 2819→ for (auto& wg : local.way_geoms) {\n 2820→ ParsedData::WayGeometry g;\n 2821→ g.coords = std::move(wg.coords);\n 2822→ g.first_node_id = wg.first_node_id;\n 2823→ g.last_node_id = wg.last_node_id;\n 2824→ data.way_geometries[wg.way_id] = std::move(g);\n 2825→ }\n 2826→ local.way_geoms.clear();\n 2827→ local.way_geoms.shrink_to_fit();\n 2828→ }\n 2829→ }\n 2830→ std::cerr << \" Merged: \" << total_ways << \" ways, \"\n 2831→ << total_building_addrs << \" building addrs, \"\n 2832→ << total_interps << \" interps from parallel processing.\" << std::endl;\n 2833→\n 2834→ // --- Merge closed-way admin polygons ---\n 2835→ if (parallel_admin) {\n 2836→ uint64_t closed_way_admin_count = 0;\n 2837→ for (auto& local : tld) {\n 2838→ for (auto& cwa : local.closed_way_admins) {\n 2839→ const char* cc = cwa.country_code.empty() ? nullptr : cwa.country_code.c_str();\n 2840→ add_admin_polygon(data, cwa.vertices, cwa.name.c_str(),\n 2841→ cwa.admin_level, cc, &admin_pool);\n 2842→ closed_way_admin_count++;\n 2843→ }\n 2844→ local.closed_way_admins.clear();\n 2845→ }\n 2846→ if (closed_way_admin_count > 0) {\n 2847→ std::cerr << \" Added \" << closed_way_admin_count\n 2848→ << \" admin polygons from closed ways.\" << std::endl;\n 2849→ }\n 2850→ }\n 2851→\n 2852→ // --- Parallel admin boundary assembly ---\n 2853→ if (parallel_admin) {\n 2854→ log_phase(\"Pass 2b: way processing\", _pt);\n 2855→ std::cerr << \" Assembling admin polygons in parallel (\"\n 2856→ << data.collected_relations.size() << \" relations, \"\n 2857→ << data.way_geometries.size() << \" way geometries)...\" << std::endl;\n 2858→\n 2859→ // Thread-local admin results (to avoid locking add_admin_polygon)\n 2860→ struct AdminResult {\n 2861→ std::vector> vertices;\n 2862→ std::string name;\n 2863→ uint8_t admin_level;\n 2864→ std::string country_code;\n 2865→ };\n 2866→\n 2867→ std::vector> thread_admin_results(num_threads);\n 2868→ std::atomic rel_idx{0};\n 2869→ std::atomic assembled_count{0};\n 2870→\n 2871→ std::vector admin_workers;\n 2872→ for (unsigned int t = 0; t < num_threads; t++) {\n 2873→ admin_workers.emplace_back([&, t]() {\n 2874→ auto& local_results = thread_admin_results[t];\n 2875→ while (true) {\n 2876→ size_t i = rel_idx.fetch_add(1);\n 2877→ if (i >= data.collected_relations.size()) break;\n 2878→\n 2879→ const auto& rel = data.collected_relations[i];\n 2880→\n 2881→ // Skip level 2 border-line relations — these have names like\n 2882→ // \"Deutschland - Österreich\" (two countries separated by\n 2883→ // \" - \" or \" — \"). They are boundary lines, not country\n 2884→ // polygons, and produce self-intersecting geometry.\n 2885→ if (rel.admin_level == 2 && rel.country_code.empty() &&\n 2886→ (rel.name.find(\" - \") != std::string::npos ||\n 2887→ rel.name.find(\" \\xe2\\x80\\x94 \") != std::string::npos)) { // \" — \" (em dash)\n 2888→ assembled_count.fetch_add(1);\n 2889→ continue;\n 2890→ }\n 2891→\n 2892→ // Skip relations with missing member ways —\n 2893→ // these cross the extract boundary and would produce\n 2894→ // incorrect partial polygons\n 2895→ bool has_missing = false;\n 2896→ for (const auto& [way_id, role] : rel.members) {\n 2897→ if (data.way_geometries.find(way_id) == data.way_geometries.end()) {\n 2898→ has_missing = true;\n 2899→ break;\n 2900→ }\n 2901→ }\n 2902→ if (has_missing) {\n 2903→ assembled_count.fetch_add(1);\n 2904→ continue;\n 2905→ }\n 2906→\n 2907→ auto rings = assemble_outer_rings(rel.members, data.way_geometries);\n 2908→ // If outer-only assembly failed, retry with all ways.\n 2909→ // Osmium ignores roles during assembly (check_roles=false) —\n 2910→ // inner ways sometimes form the boundary or bridge gaps.\n 2911→ // Filter retry results: discard rings with duplicate coords\n 2912→ // (figure-8 shapes from merging holes with outer boundary).\n 2913→ if (rings.empty()) {\n 2914→ auto retry = assemble_outer_rings(rel.members, data.way_geometries, true);\n 2915→ auto ck = [](double lat, double lng) -> int64_t {\n 2916→ int32_t ilat = static_cast(lat * 1e7 + (lat >= 0 ? 0.5 : -0.5));\n 2917→ int32_t ilng = static_cast(lng * 1e7 + (lng >= 0 ? 0.5 : -0.5));\n 2918→ return (static_cast(ilat) << 32) | static_cast(ilng);\n 2919→ };\n 2920→ for (auto& ring : retry) {\n 2921→ if (!ring_has_duplicate_coords(ring, ck)) {\n 2922→ rings.push_back(std::move(ring));\n 2923→ }\n 2924→ }\n 2925→ }\n 2926→\n 2927→ // Diagnostic: log relations with 0 rings produced\n 2928→ if (rings.empty() && !rel.members.empty()) {\n 2929→ int total_ways = 0, found = 0, missing = 0;\n 2930→ for (const auto& [way_id, role] : rel.members) {\n 2931→ total_ways++;\n 2932→ auto it = data.way_geometries.find(way_id);\n 2933→ if (it != data.way_geometries.end() && !it->second.coords.empty()) {\n 2934→ found++;\n 2935→ } else {\n 2936→ missing++;\n 2937→ }\n 2938→ }\n 2939→ if (missing == 0 && found > 0) {\n 2940→ std::string detail = \" DEBUG '\" + rel.name + \"': ways:\";\n 2941→ for (const auto& [way_id, role] : rel.members) {\n 2942→ auto it = data.way_geometries.find(way_id);\n 2943→ if (it == data.way_geometries.end()) continue;\n 2944→ detail += \" [w\" + std::to_string(way_id) +\n 2945→ \" first=\" + std::to_string(it->second.first_node_id) +\n 2946→ \" last=\" + std::to_string(it->second.last_node_id) +\n 2947→ \" n=\" + std::to_string(it->second.coords.size()) + \"]\";\n 2948→ }\n 2949→ std::cerr << detail << std::endl;\n 2950→ }\n 2951→ std::cerr << \" WARN: relation '\" << rel.name\n 2952→ << \"' (level \" << (int)rel.admin_level\n 2953→ << \", \" << rel.members.size() << \" members): \"\n 2954→ << \"0 rings from \" << total_ways << \" ways (\"\n 2955→ << found << \" found, \" << missing << \" missing)\" << std::endl;\n 2956→ }\n 2957→\n 2958→ for (auto& ring : rings) {\n 2959→ if (ring.size() >= 3) {\n 2960→ AdminResult ar;\n 2961→ ar.vertices = std::move(ring);\n 2962→ ar.name = rel.name;\n 2963→ ar.admin_level = rel.admin_level;\n 2964→ ar.country_code = rel.country_code;\n 2965→ local_results.push_back(std::move(ar));\n 2966→ }\n 2967→ }\n 2968→\n 2969→ uint64_t done = assembled_count.fetch_add(1) + 1;\n 2970→ if (done % 10000 == 0) {\n 2971→ std::cerr << \" Assembled \" << done / 1000\n 2972→ << \"K admin relations...\" << std::endl;\n 2973→ }\n 2974→ }\n 2975→ });\n 2976→ }\n 2977→ for (auto& w : admin_workers) w.join();\n 2978→\n 2979→ // Merge thread-local admin results into ParsedData (sequential, thread-safe)\n 2980→ uint64_t total_admin_rings = 0;\n 2981→ for (auto& local_results : thread_admin_results) {\n 2982→ for (auto& ar : local_results) {\n 2983→ const char* cc = ar.country_code.empty() ? nullptr : ar.country_code.c_str();\n 2984→ add_admin_polygon(data, ar.vertices, ar.name.c_str(),\n 2985→ ar.admin_level, cc, &admin_pool);\n 2986→ total_admin_rings++;\n 2987→ }\n 2988→ }\n 2989→ std::cerr << \" Parallel admin assembly complete: \"\n 2990→ << total_admin_rings << \" polygon rings from \"\n 2991→ << data.collected_relations.size() << \" relations.\" << std::endl;\n 2992→\n 2993→ // Free collected data\n 2994→ data.collected_relations.clear();\n 2995→ data.collected_relations.shrink_to_fit();\n 2996→ data.way_geometries.clear();\n 2997→ std::unordered_map().swap(data.way_geometries);\n 2998→ }\n 2999→ }\n 3000→ }\n 3001→\n 3002→ std::cerr << \"Done reading:\" << std::endl;\n 3003→ std::cerr << \" \" << data.ways.size() << \" street ways\" << std::endl;\n 3004→ std::cerr << \" \" << data.addr_points.size() << \" address points\" << std::endl;\n 3005→ std::cerr << \" \" << data.interp_ways.size() << \" interpolation ways\" << std::endl;\n 3006→ std::cerr << \" \" << data.admin_polygons.size() << \" admin polygon rings\" << std::endl;\n 3007→\n 3008→ // Drain admin polygon thread pool (may still be processing)\n 3009→ std::cerr << \"Waiting for admin polygon S2 covering to complete...\" << std::endl;\n 3010→ auto admin_results = admin_pool.drain();\n 3011→ for (auto& [cell_id, ids] : admin_results) {\n 3012→ auto& target = data.cell_to_admin[cell_id];\n 3013→ target.insert(target.end(), ids.begin(), ids.end());\n 3014→ }\n 3015→ std::cerr << \"Admin polygon S2 covering complete (\" << data.cell_to_admin.size() << \" cells).\" << std::endl;\n 3016→\n 3017→ // --- Parallel S2 cell computation for ways and interpolation ---\n 3018→ {\n 3019→ log_phase(\"Admin assembly\", _pt);\n 3020→ std::cerr << \"Computing S2 cells for ways with \" << num_threads << \" threads...\" << std::endl;\n 3021→\n 3022→ // Flat-array approach: threads emit (cell_id, item_id) pairs into\n 3023→ // thread-local vectors, then we sort globally and group by cell_id.\n 3024→ // This avoids hash maps entirely — sort is cache-friendly O(n log n).\n 3025→\n 3026→ struct CellItem { uint64_t cell_id; uint32_t item_id; };\n 3027→\n 3028→ auto _s2t = std::chrono::steady_clock::now();\n 3029→\n 3030→ // Process streets: emit (cell_id, way_id) pairs\n 3031→ std::cerr << \" Processing \" << data.deferred_ways.size() << \" street ways...\" << std::endl;\n 3032→ std::vector> way_pairs(num_threads);\n 3033→ {\n 3034→ std::atomic way_idx{0};\n 3035→ std::vector threads;\n 3036→ for (unsigned int t = 0; t < num_threads; t++) {\n 3037→ threads.emplace_back([&, t]() {\n 3038→ auto& local = way_pairs[t];\n 3039→ local.reserve(data.deferred_ways.size() / num_threads * 3);\n 3040→ std::vector edge_cells;\n 3041→ std::vector way_cells;\n 3042→ while (true) {\n 3043→ size_t i = way_idx.fetch_add(1);\n 3044→ if (i >= data.deferred_ways.size()) break;\n 3045→ const auto& dw = data.deferred_ways[i];\n 3046→ way_cells.clear();\n 3047→ for (uint8_t j = 0; j + 1 < dw.node_count; j++) {\n 3048→ const auto& n1 = data.street_nodes[dw.node_offset + j];\n 3049→ const auto& n2 = data.street_nodes[dw.node_offset + j + 1];\n 3050→ cover_edge(n1.lat, n1.lng, n2.lat, n2.lng, edge_cells);\n 3051→ for (const auto& c : edge_cells) way_cells.push_back(c.id());\n 3052→ }\n 3053→ std::sort(way_cells.begin(), way_cells.end());\n 3054→ way_cells.erase(std::unique(way_cells.begin(), way_cells.end()), way_cells.end());\n 3055→ for (uint64_t cell_id : way_cells) {\n 3056→ local.push_back({cell_id, dw.way_id});\n 3057→ }\n 3058→ }\n 3059→ });\n 3060→ }\n 3061→ for (auto& t : threads) t.join();\n 3062→ }\n 3063→ log_phase(\" S2: street ways (parallel)\", _s2t);\n 3064→\n 3065→ // Process interpolations: emit (cell_id, interp_id) pairs\n 3066→ std::cerr << \" Processing \" << data.deferred_interps.size() << \" interpolation ways...\" << std::endl;\n 3067→ std::vector> interp_pairs(num_threads);\n 3068→ {\n 3069→ std::atomic interp_idx{0};\n 3070→ std::vector threads;\n 3071→ for (unsigned int t = 0; t < num_threads; t++) {\n 3072→ threads.emplace_back([&, t]() {\n 3073→ auto& local = interp_pairs[t];\n 3074→ std::vector edge_cells;\n 3075→ std::vector way_cells;\n 3076→ while (true) {\n 3077→ size_t i = interp_idx.fetch_add(1);\n 3078→ if (i >= data.deferred_interps.size()) break;\n 3079→ const auto& di = data.deferred_interps[i];\n 3080→ way_cells.clear();\n 3081→ for (uint8_t j = 0; j + 1 < di.node_count; j++) {\n 3082→ const auto& n1 = data.interp_nodes[di.node_offset + j];\n 3083→ const auto& n2 = data.interp_nodes[di.node_offset + j + 1];\n 3084→ cover_edge(n1.lat, n1.lng, n2.lat, n2.lng, edge_cells);\n 3085→ for (const auto& c : edge_cells) way_cells.push_back(c.id());\n 3086→ }\n 3087→ std::sort(way_cells.begin(), way_cells.end());\n 3088→ way_cells.erase(std::unique(way_cells.begin(), way_cells.end()), way_cells.end());\n 3089→ for (uint64_t cell_id : way_cells) {\n 3090→ local.push_back({cell_id, di.interp_id});\n 3091→ }\n 3092→ }\n 3093→ });\n 3094→ }"}]},"uuid":"5c8e4091-fa5a-4cc3-8770-91e07719bdd6","timestamp":"2026-03-23T10:04:35.163Z","sourceToolAssistantUUID":"65f27ca0-9514-48d5-9446-fb037ff85e3e","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} 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_s2t);\n 3098→\n 3099→ // Merge thread-local pairs into single vectors, sort, build cell maps\n 3100→ std::cerr << \" Sorting and grouping cell pairs...\" << std::endl;\n 3101→ // Concatenate + sort helper for flat CellItem pairs\n 3102→ // Parallel sort each thread's pairs, then k-way merge directly into\n 3103→ // hash map + sorted output. No intermediate merged vector needed.\n 3104→ auto parallel_sort_and_build = [](\n 3105→ std::vector>& thread_pairs,\n 3106→ std::unordered_map>& cell_map,\n 3107→ std::vector& sorted_out\n 3108→ ) {\n 3109→ // Step 1: Convert + sort each thread's data in parallel\n 3110→ size_t total = 0;\n 3111→ for (auto& v : thread_pairs) total += v.size();\n 3112→\n 3113→ std::vector> chunks(thread_pairs.size());\n 3114→ {\n 3115→ std::vector sort_threads;\n 3116→ for (size_t t = 0; t < thread_pairs.size(); t++) {\n 3117→ sort_threads.emplace_back([&, t]() {\n 3118→ auto& src = thread_pairs[t];\n 3119→ auto& dst = chunks[t];\n 3120→ dst.reserve(src.size());\n 3121→ for (auto& ci : src) dst.push_back({ci.cell_id, ci.item_id});\n 3122→ src.clear(); src.shrink_to_fit();\n 3123→ std::sort(dst.begin(), dst.end(), [](const CellItemPair& a, const CellItemPair& b) {\n 3124→ return a.cell_id < b.cell_id || (a.cell_id == b.cell_id && a.item_id < b.item_id);\n 3125→ });\n 3126→ });\n 3127→ }\n 3128→ for (auto& t : sort_threads) t.join();\n 3129→ }\n 3130→\n 3131→ // Step 2: Concatenate sorted chunks and merge using parallel tree.\n 3132→ // Each chunk is already sorted. Record run boundaries, concatenate,\n 3133→ // then merge adjacent runs pairwise in parallel at each level.\n 3134→ auto cmp = [](const CellItemPair& a, const CellItemPair& b) {\n 3135→ return a.cell_id < b.cell_id || (a.cell_id == b.cell_id && a.item_id < b.item_id);\n 3136→ };\n 3137→\n 3138→ // Record run boundaries before concatenation\n 3139→ std::vector run_bounds = {0};\n 3140→ sorted_out.clear();\n 3141→ sorted_out.reserve(total);\n 3142→ for (auto& chunk : chunks) {\n 3143→ sorted_out.insert(sorted_out.end(), chunk.begin(), chunk.end());\n 3144→ run_bounds.push_back(sorted_out.size());\n 3145→ chunk.clear(); chunk.shrink_to_fit();\n 3146→ }\n 3147→\n 3148→ // Parallel tree merge: at each level, merge adjacent run pairs in parallel.\n 3149→ // Level 0: merge runs (0,1), (2,3), ... → N/2 runs\n 3150→ // Level 1: merge runs (01,23), (45,67), ... → N/4 runs\n 3151→ // ... until one sorted run remains.\n 3152→ while (run_bounds.size() > 2) {\n 3153→ std::vector new_bounds = {0};\n 3154→ std::vector merge_threads;\n 3155→ for (size_t i = 0; i + 2 < run_bounds.size(); i += 2) {\n 3156→ size_t left = run_bounds[i];\n 3157→ size_t mid = run_bounds[i + 1];\n 3158→ size_t right = run_bounds[i + 2];\n 3159→ merge_threads.emplace_back([&, left, mid, right] {\n 3160→ std::inplace_merge(sorted_out.begin() + left,\n 3161→ sorted_out.begin() + mid,\n 3162→ sorted_out.begin() + right, cmp);\n 3163→ });\n 3164→ new_bounds.push_back(right);\n 3165→ }\n 3166→ // If odd number of runs, carry the last one forward\n 3167→ if (run_bounds.size() % 2 == 0) {\n 3168→ new_bounds.push_back(run_bounds.back());\n 3169→ }\n 3170→ for (auto& t : merge_threads) t.join();\n 3171→ run_bounds = std::move(new_bounds);\n 3172→ }\n 3173→\n 3174→ // Skip building hash map — sorted_out is used directly for writing.\n 3175→ // cell_map stays empty (only needed for cache/continent modes).\n 3176→ };\n 3177→\n 3178→\n 3179→ // Sort each thread's pairs in parallel, then k-way merge directly\n 3180→ // into hash map + sorted output. No intermediate merged vector.\n 3181→ auto f_ways = std::async(std::launch::async, [&] {\n 3182→ parallel_sort_and_build(way_pairs, data.cell_to_ways, data.sorted_way_cells);\n 3183→ });\n 3184→ auto f_interps = std::async(std::launch::async, [&] {\n 3185→ std::vector interp_sorted; // not needed for writing\n 3186→ parallel_sort_and_build(interp_pairs, data.cell_to_interps, interp_sorted);\n 3187→ });\n 3188→ f_ways.get();\n 3189→ f_interps.get();\n 3190→ log_phase(\" S2: sort + group into cell maps\", _s2t);\n 3191→\n 3192→ // Free deferred work items\n 3193→ data.deferred_ways.clear();\n 3194→ data.deferred_ways.shrink_to_fit();\n 3195→ data.deferred_interps.clear();\n 3196→ data.deferred_interps.shrink_to_fit();\n 3197→\n 3198→ std::cerr << \"S2 cell computation complete.\" << std::endl;\n 3199→ }\n 3200→\n 3201→ // Resolve interpolation endpoints\n 3202→ std::cerr << \"Resolving interpolation endpoints...\" << std::endl;\n 3203→ resolve_interpolation_endpoints(data);\n 3204→\n 3205→ // Deduplicate + convert to sorted pairs for fast writing\n 3206→ log_phase(\"S2 cell computation\", _pt);\n 3207→ std::cerr << \"Deduplicating + sorting for write...\" << std::endl;\n 3208→ {\n 3209→ // Convert addr hash map to sorted pairs.\n 3210→ // Sort cell IDs only (30M unique), then build pairs in sorted order.\n 3211→ // Much faster than sorting all 160M pairs.\n 3212→ auto f2 = std::async(std::launch::async, [&] {\n 3213→ // Extract and sort unique cell IDs\n 3214→ std::vector sorted_cells;\n 3215→ sorted_cells.reserve(data.cell_to_addrs.size());\n 3216→ size_t total_pairs = 0;\n 3217→ for (auto& [cell_id, ids] : data.cell_to_addrs) {\n 3218→ sorted_cells.push_back(cell_id);\n 3219→ total_pairs += ids.size();\n 3220→ }\n 3221→ std::sort(sorted_cells.begin(), sorted_cells.end());\n 3222→\n 3223→ // Build sorted pairs by iterating sorted cell IDs\n 3224→ std::vector pairs;\n 3225→ pairs.reserve(total_pairs);\n 3226→ for (uint64_t cell_id : sorted_cells) {\n 3227→ auto& ids = data.cell_to_addrs[cell_id];\n 3228→ std::sort(ids.begin(), ids.end()); // sort within cell\n 3229→ ids.erase(std::unique(ids.begin(), ids.end()), ids.end());\n 3230→ for (auto id : ids) pairs.push_back({cell_id, id});\n 3231→ }\n 3232→ data.sorted_addr_cells = std::move(pairs);\n 3233→ });\n 3234→ auto f4 = std::async(std::launch::async, [&]{ deduplicate(data.cell_to_admin); });\n 3235→ f2.get(); f4.get();\n 3236→ }\n 3237→\n 3238→ // Save cache if requested\n 3239→ if (!save_cache_path.empty()) {\n 3240→ serialize_cache(data, save_cache_path);\n 3241→ }\n 3242→ }\n 3243→\n 3244→ // --- Write index files ---\n 3245→ log_phase(\"Deduplication\", _pt);\n 3246→ std::cerr << \"Writing index files to \" << output_dir << \"...\" << std::endl;\n 3247→\n 3248→ if (multi_output) {\n 3249→ // Write all 3 index modes in parallel (they read shared data, write to separate dirs)\n 3250→ auto wf1 = std::async(std::launch::async, [&]{ write_index(data, output_dir + \"/full\", IndexMode::Full); });\n 3251→ auto wf2 = std::async(std::launch::async, [&]{ write_index(data, output_dir + \"/no-addresses\", IndexMode::NoAddresses); });\n 3252→ auto wf3 = std::async(std::launch::async, [&]{ write_index(data, output_dir + \"/admin-only\", IndexMode::AdminOnly); });\n 3253→ wf1.get(); wf2.get(); wf3.get();\n 3254→ } else {\n 3255→ write_index(data, output_dir, mode);\n 3256→ }\n 3257→\n 3258→ if (generate_continents) {\n 3259→ // Process continents in parallel (each filters independently from shared data)\n 3260→ std::vector> continent_futures;\n 3261→ std::mutex cerr_mutex;\n 3262→ for (const auto& continent : kContinents) {\n 3263→ continent_futures.push_back(std::async(std::launch::async, [&, continent]() {\n 3264→ {\n 3265→ std::lock_guard lock(cerr_mutex);\n 3266→ std::cerr << \"Filtering for continent: \" << continent.name << \"...\" << std::endl;\n 3267→ }\n 3268→ auto subset = filter_by_bbox(data, continent);\n 3269→ std::string base = output_dir + \"/\" + continent.name;\n 3270→ ensure_dir(base);\n 3271→ if (multi_output) {\n 3272→ // Write modes in parallel within each continent\n 3273→ auto cf1 = std::async(std::launch::async, [&]{ write_index(subset, base + \"/full\", IndexMode::Full); });\n 3274→ auto cf2 = std::async(std::launch::async, [&]{ write_index(subset, base + \"/no-addresses\", IndexMode::NoAddresses); });\n 3275→ auto cf3 = std::async(std::launch::async, [&]{ write_index(subset, base + \"/admin-only\", IndexMode::AdminOnly); });\n 3276→ cf1.get(); cf2.get(); cf3.get();\n 3277→ } else {\n 3278→ write_index(subset, base, mode);\n 3279→ }\n 3280→ {\n 3281→ std::lock_guard lock(cerr_mutex);\n 3282→ std::cerr << \"Done continent: \" << continent.name << std::endl;\n 3283→ }\n 3284→ }));\n 3285→ }\n 3286→ for (auto& f : continent_futures) {\n 3287→ f.get();\n 3288→ }\n 3289→ }\n 3290→\n 3291→ log_phase(\"Index file writing\", _pt);\n 3292→ std::cerr << \"Done.\" << std::endl;\n 3293→ return 0;\n 3294→}\n 3295→"}]},"uuid":"4eb3cc02-5939-4736-8dea-6b0763563d30","timestamp":"2026-03-23T10:04:41.113Z","sourceToolAssistantUUID":"aa76d5f0-53ac-4ab1-8811-196d492bd2d6","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"4eb3cc02-5939-4736-8dea-6b0763563d30","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01WXcy7ax8i4a2C6bCss7Koh","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me also check the comparison tool and the validation report."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3729,"cache_read_input_tokens":71637,"cache_creation":{"ephemeral_5m_input_tokens":3729,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZKpgm7HigqeFbjDGPved","type":"assistant","uuid":"1e5dff93-4c22-4f79-8159-088e9bd82a85","timestamp":"2026-03-23T10:04:45.035Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} 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{"parentUuid":"92dcd023-b439-49d5-8bb0-380195096e75","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Btvn9LFNiaFMtqayYa2gHA","toolUseID":"toolu_01Btvn9LFNiaFMtqayYa2gHA","timestamp":"2026-03-23T10:04:45.475Z","uuid":"b670eeab-7af5-4679-b604-038ceca5240b","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"92dcd023-b439-49d5-8bb0-380195096e75","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Btvn9LFNiaFMtqayYa2gHA","type":"tool_result","content":" 1→# Parallel Admin Assembly Validation Report\n 2→\n 3→**Date**: 2026-03-22\n 4→**Baseline**: commit 93fe6e4 (pre-parallel, sequential osmium assembler)\n 5→**Parallel**: commit a80d4e9 (all fixes, greedy+backtracking hybrid stitcher)\n 6→\n 7→## Planet (86GB PBF) — Global Comparison\n 8→\n 9→| Component | Baseline | Parallel | Status |\n 10→|---|---|---|---|\n 11→| Street ways | 47,826,371 | 47,826,371 | **100% PASS** |\n 12→| Address points | 160,091,817 | 160,091,817 | **100% PASS** |\n 13→| Interpolation ways | 72,817 | 72,817 | ~100% |\n 14→| Admin polygons | 943,638 | 947,358 | — |\n 15→| Admin (unique name\\|level) | 642,275 | 644,809 | **10 missing** (0.0016%), 2,544 extras |\n 16→| Build time | ~5 hours | ~40 minutes | **~7.5x faster** |\n 17→\n 18→### 10 Missing Admin Boundaries (of 642,275 = 99.998%)\n 19→\n 20→All level 8-10 small municipality subdivisions:\n 21→- Argentina: Alto Los Cardales|8, Pringles|9, COVIMER 2|10, FOPROVI|10, Antonio Palacios|10, Tres Esquinas|9\n 22→- Peru: ATE II|10\n 23→- Brazil: Jardim Mônaco (proposto)|10, Residencial Melville|10\n 24→- Indonesia: RT 002 RW 015 Kel. Mekarjaya|10\n 25→\n 26→Root cause: greedy ring stitcher makes wrong branch choices at junctions\n 27→where multiple admin areas share boundary ways. Backtracking would fix\n 28→these but causes planet-scale stalls (exponential search) for complex\n 29→relations with >30 sub-ways. Matching osmium exactly would require\n 30→reimplementing its full segment graph assembler (~1200 lines).\n 31→\n 32→**Reverse geocoding impact**: Zero. These 10 areas are small subdivisions\n 33→where the parent admin level (city/district) is still correctly returned.\n 34→A query in these areas gets the right city name; only the neighborhood-level\n 35→name differs.\n 36→\n 37→## Europe (31GB PBF)\n 38→\n 39→| Component | Baseline | Parallel | Status |\n 40→|---|---|---|---|\n 41→| Street ways | 19,452,480 | 19,452,480 | **100% PASS** |\n 42→| Address points | 85,891,830 | 85,891,830 | **100% PASS** |\n 43→| Interpolation ways | 13,988 | 13,988 | **100% PASS** |\n 44→| Admin (unique name\\|level) | 327,854 | 327,882 | **0 missing**, 28 extras |\n 45→\n 46→## Germany (4.5GB PBF)\n 47→\n 48→| Component | Baseline | Parallel | Status |\n 49→|---|---|---|---|\n 50→| Street ways | 3,312,673 | 3,312,673 | **100% PASS** |\n 51→| Address points | 19,951,156 | 19,951,156 | **100% PASS** |\n 52→| Interpolation ways | 78 | 78 | **100% PASS** |\n 53→| Admin (unique name\\|level) | 37,034 | 37,034+ | **0 missing** |\n 54→\n 55→## Bugs Found and Fixed (21 commits)\n 56→\n 57→1. **String interleaving** — way names swapped with building addr strings (~62% of ways)\n 58→2. **Building address corruption** — `\"\\0\"` null separator never embedded (~16M addresses)\n 59→3. **Ring stitcher** — coordinate matching, split-at-shared-nodes, greedy+backtracking hybrid\n 60→4. **Closed-way admin polygons** — standalone boundary ways not handled\n 61→5. **Inner-way retry** — osmium ignores roles, inner ways bridge outer gaps\n 62→6. **Border-line filter** — level 2 non-country relations (name pattern check)\n 63→7. **Self-intersection detection** — invalid assembled rings discarded\n 64→8. **Duplicate coordinate filter** — prevents hole+outer boundary merging\n 65→9. **Planet-scale performance** — greedy stitcher with budgeted backtracking retry\n 66→10. **Parallel index writes** — entry files + raw data files written concurrently (~2.5x faster)\n 67→\n 68→## Performance\n 69→\n 70→| Phase | Sequential baseline | Parallel (initial) | Parallel (optimized) |\n 71→|---|---|---|---|\n 72→| Total build (planet) | ~5 hours | ~40 minutes | **~14 minutes** |\n 73→| Admin assembly | ~2 hours | ~5 minutes | ~2.6 minutes |\n 74→| S2 cell computation | — | ~17 minutes | ~5.8 minutes |\n 75→| Index writing | ~25-30 minutes | ~10 minutes | ~4.2 minutes |\n 76→\n 77→### Optimization Summary\n 78→\n 79→| Optimization | Impact |\n 80→|---|---|\n 81→| thread_local S2RegionCoverer | Avoid 335M constructor calls |\n 82→| cover_edge fast-path (same/adjacent cell) | Skip S2 library for ~80% of edges (3.6x) |\n 83→| Flat-array S2 cell collection | Replace hash map merge with sort (2.7x) |\n 84→| Sweep-line self-intersection check | O(n log n) vs O(n²) for large rings (2x admin) |\n 85→| Merge-join entry writing | Sequential scan vs hash lookups (1.8x) |\n 86→| Parallel index file writes | 8 files written concurrently |\n 87→| Buffered IO | Single write calls vs millions of small writes |\n 88→\n 89→## Admin Polygon Gap Journey\n 90→\n 91→| Stage | Germany | Europe | Planet |\n 92→|---|---|---|---|\n 93→| Pre node-ID fix | -11,675 | — | — |\n 94→| After node-ID fix | -43 | — | — |\n 95→| After coordinate matching | -29 | — | — |\n 96→| After closed-way + inner-way | 0 missing | 0 missing | — |\n 97→| After greedy+backtracking | +1 | 0 missing | **10 missing** |\n 98→"}]},"uuid":"47f3c15a-ee8e-4441-9c1b-889655e9ee60","timestamp":"2026-03-23T10:04:45.475Z","sourceToolAssistantUUID":"92dcd023-b439-49d5-8bb0-380195096e75","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} 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4→set(CMAKE_CXX_STANDARD 17)\n 5→set(CMAKE_CXX_STANDARD_REQUIRED ON)\n 6→\n 7→find_package(Threads REQUIRED)\n 8→find_package(ZLIB REQUIRED)\n 9→find_package(BZip2 REQUIRED)\n 10→find_package(EXPAT REQUIRED)\n 11→find_package(s2 QUIET)\n 12→\n 13→add_executable(build-index src/build_index.cpp)\n 14→\n 15→if(EXISTS /opt/homebrew/include)\n 16→ target_include_directories(build-index PRIVATE /opt/homebrew/include)\n 17→endif()\n 18→\n 19→if(s2_FOUND)\n 20→ target_link_libraries(build-index PRIVATE\n 21→ s2::s2\n 22→ ZLIB::ZLIB\n 23→ BZip2::BZip2\n 24→ EXPAT::EXPAT\n 25→ Threads::Threads\n 26→ )\n 27→else()\n 28→ target_include_directories(build-index PRIVATE /usr/include/s2)\n 29→ target_link_libraries(build-index PRIVATE\n 30→ s2\n 31→ ZLIB::ZLIB\n 32→ BZip2::BZip2\n 33→ EXPAT::EXPAT\n 34→ Threads::Threads\n 35→ )\n 36→endif()\n 37→"}]},"uuid":"52d6fe11-df97-48fa-b3d1-6513ce0af9e3","timestamp":"2026-03-23T10:04:45.643Z","sourceToolAssistantUUID":"dd6b8743-fc31-4eb5-a9e9-7bdf5446a3b2","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"} {"parentUuid":"52d6fe11-df97-48fa-b3d1-6513ce0af9e3","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01HFnCgJnN6ydkuhdMDN3CwT","type":"message","role":"assistant","content":[{"type":"text","text":"I now have a thorough understanding of the entire codebase. Here is my structured analysis and plan.\n\n---\n\n## Refactoring Analysis of build_index.cpp\n\n### 1. Functions That Are Too Long and Should Be Split\n\n**`main()` (lines 2121-3294, ~1173 lines)** -- This is the most critical problem. The main function contains the entire pipeline orchestration including:\n- Argument parsing (lines 2142-2190) -- extract to `parse_args()`\n- DenseIndex class definition (lines 2218-2263) -- extract to its own struct/file\n- Node processing worker lambda (lines 2331-2382, ~50 lines)\n- Way processing worker lambda (lines 2484-2703, ~220 lines) -- this single lambda processes interpolation ways, building addresses, highway ways, way geometry collection, AND closed-way admin boundaries all inline\n- Thread-local data merge (lines 2762-2998, ~236 lines)\n- S2 cell computation (lines 3017-3199, ~182 lines)\n- Deduplication and writing (lines 3200-3294)\n\n**The way processing worker lambda (lines 2484-2703)** is especially problematic at ~220 lines with 10+ levels of nesting. It duplicates logic from `BuildHandler::process_interpolation_way`, `BuildHandler::process_highway`, and `BuildHandler::process_building_address` but adapted for the parallel path.\n\n**`assemble_outer_rings()` (lines 595-824, ~230 lines)** contains the entire ring stitching algorithm: sub-way splitting, adjacency building, greedy stitching, and backtracking. It should be split into at least:\n- `split_ways_at_shared_nodes()`\n- `build_coord_adjacency()`\n- `greedy_stitch_rings()`\n- `backtrack_stitch_rings()`\n\n**`filter_by_bbox()` (lines 1535-1754, ~220 lines)** has four nearly identical copy-paste blocks for filtering ways, addrs, interps, and admin polygons.\n\n**`write_index()` (lines 1925-2117, ~192 lines)** orchestrates many parallel writes but mixes cell ID extraction, parallel entry writing, buffer filling, and file output.\n\n### 2. Code Duplication That Should Be Extracted\n\n**Duplicate #1: Way/interp/building-address processing appears twice** -- once in `BuildHandler` (lines 923-1129, the sequential path) and again in the parallel way worker lambda (lines 2484-2703). The parallel path reimplements the same tag checks, node location resolution, and struct construction. A shared function like `classify_and_process_way(way, index, local_data)` would eliminate this.\n\n**Duplicate #2: `filter_by_bbox()` ID collection and remapping** -- Lines 1538-1576 repeat the same pattern four times:\n```cpp\nstd::unordered_set used_X_ids;\nfor (const auto& [cell_id, ids] : full.cell_to_X) {\n if (cell_in_bbox(cell_id, bbox)) {\n for (uint32_t id : ids) used_X_ids.insert(id);\n }\n}\n```\nAnd lines 1578-1642 repeat another pattern four times for remapping. A template helper `collect_used_ids(cell_map, bbox)` and `remap_items(...)` would cut ~80 lines.\n\n**Duplicate #3: Cell map remapping** (lines 1644-1701) -- four nearly identical blocks for ways, addrs, interps, admin. Same structure, different remap tables.\n\n**Duplicate #4: `coord_key` lambda** is defined identically in three places:\n- Line 605 (inside `assemble_outer_rings`)\n- Line 2915 (inside the parallel admin worker lambda)\n- Line 36 of `test_ring_assembly.cpp`\n\nIt should be a single static function (one already exists as a lambda -- promote it).\n\n**Duplicate #5: S2 cell computation for ways and interps** (lines 3030-3096) -- the street way loop and interpolation way loop are structurally identical. Only the source arrays (`deferred_ways`/`deferred_interps` and `street_nodes`/`interp_nodes`) differ. A template or function extracting the common pattern would eliminate ~30 lines.\n\n**Duplicate #6: Admin/postal boundary tag parsing** appears twice -- in `BuildHandler::area()` (lines 966-1020) and in `RelationCollector::relation()` (lines 1138-1196). The tag extraction logic (boundary type check, admin_level parsing, postal code name extraction, country code extraction) is copy-pasted.\n\n### 3. Magic Numbers That Should Be Named Constants\n\n| Value | Location(s) | Suggested Name |\n|-------|------------|----------------|\n| `1e7` | lines 606-607, 2917 | `kNanodegreeFactor` |\n| `500` | line 894 | `kMaxSimplifiedVertices` |\n| `32` | line 539 | `kBruteForceIntersectionThreshold` |\n| `200` | line 379, 701 | `kMaxS2CoverCells`, `kMaxBacktrackDepth` |\n| `100000` | line 699 | `kMaxBacktrackCalls` |\n| `500000` | line 784 | `kMaxTotalBacktrackCalls` |\n| `30` | line 777 | `kMaxBacktrackSubWays` |\n| `64` | lines 2318, 2477 | `kMaxQueueDepth` |\n| `8192` | line 2334 | `kLocationBatchSize` |\n| `1000` | lines 2372, 2700 | `kBlockProgressInterval` |\n| `10000` | line 2970 | `kAdminProgressInterval` |\n| `1000000` | line 869, 1125 | `kProgressInterval` |\n| `100000` | line 1215-1216 | `kCoordPrecision` (note: different from the `1e7` nanodegree precision used elsewhere -- potential bug?) |\n| `65535` | lines 906, 1788, 1856, 1916 | `kMaxUint16` or just use `std::numeric_limits::max()` |\n| `255` | lines 1083, 1117, 2536, 2610 | `kMaxNodeCount` / `std::numeric_limits::max()` |\n| `11` | lines 982, 1153, 2652-2654 | `kPostalCodeAdminLevel` |\n| `20` | line 483 | `kSimplifyBinarySearchIterations` |\n\n### 4. Functions That Should Be Moved to Separate Files\n\n| Module | Contents | Lines |\n|--------|----------|-------|\n| `s2_helpers.h/cpp` | `cover_edge()`, `cover_polygon()`, `point_to_cell()`, `polygon_area()`, `kStreetCellLevel`, `kAdminCellLevel` | ~150 lines |\n| `geometry.h/cpp` | `dp_simplify()`, `simplify_polygon()`, `segments_intersect()`, `ring_has_self_intersection()`, `ring_has_duplicate_coords()`, `coord_key()` | ~120 lines |\n| `ring_assembly.h/cpp` | `assemble_outer_rings()` and the `BacktrackState` struct | ~230 lines |\n| `string_pool.h` | `StringPool` class | ~20 lines |\n| `binary_structs.h` | `WayHeader`, `AddrPoint`, `InterpWay`, `AdminPolygon`, `NodeCoord`, `CellItemPair`, `DeferredWay`, `DeferredInterp`, `CollectedRelation` | ~60 lines |\n| `cache.h/cpp` | All cache serialization/deserialization code | ~200 lines |\n| `continent_filter.h/cpp` | `ContinentBBox`, `kContinents`, `cell_in_bbox()`, `filter_by_bbox()` | ~250 lines |\n| `index_writer.h/cpp` | `write_entries()`, `write_entries_from_sorted()`, `write_cell_index()`, `write_index()` | ~200 lines |\n| `admin_cover_pool.h` | `AdminCoverPool` class | ~90 lines |\n\n### 5. Other Code Quality Issues\n\n**Potential precision bug**: `resolve_interpolation_endpoints()` uses `* 100000` precision (line 1215-1216) for coordinate matching, while `coord_key` uses `* 1e7` (nanodegrees). This is a ~100x precision difference. If an interpolation way endpoint has a slightly different float representation than the corresponding address point, the 100000 multiplier could fail to match where 1e7 would succeed (or vice versa).\n\n**Mutable global state**: `kStreetCellLevel`, `kAdminCellLevel`, and `kMaxAdminLevel` (lines 286-288) are mutable file-scope globals modified by argument parsing. These should be passed as configuration or made const after initialization.\n\n**Exception-based control flow**: The way processing lambda uses `try { ... } catch (...) {}` (lines 2511-2514, 2560-2566, 2593-2594, 2624) for node location lookups. The `DenseIndex::get()` method (line 2249) never throws -- it returns an invalid Location. These try/catch blocks are dead code adding noise.\n\n**Missing error handling for file writes**: `write_cell_index()`, `write_entries()`, and the data file writes in `write_index()` never check if the ofstream opened successfully or if writes succeeded.\n\n**`BuildHandler` class is unused in the parallel path**: When `parallel_admin` is true (the default), the `BuildHandler` only processes node addresses via its `node()` method. The `way()` and `area()` methods are only used in the sequential fallback. This creates confusion about which code path is actually active.\n\n---\n\n## Test Coverage Gaps and Additional Tests Needed\n\n### Unit Tests to Add\n\n**A. Ring Assembly Algorithm (highest priority)**\n\n1. **Simple two-way ring stitching**: Two open ways whose endpoints connect to form a closed ring. Validates basic adjacency building and greedy stitching.\n\n2. **Multi-way ring with reversal**: Three or more ways where some must be reversed to form a ring. Tests the `is_last` / reversed logic in the greedy stitcher.\n\n3. **Backtracking at a branch point**: Create a scenario with 4+ sub-ways forming a T-junction where the greedy pass makes the wrong initial choice, requiring backtracking to close the ring. Verify backtracking pass produces more rings.\n\n4. **Multiple disjoint rings from one relation**: Provide 6+ ways that form 2 separate closed rings (e.g., two islands of a country). Verify both rings are assembled.\n\n5. **Closed single-way detection**: A single way whose first node equals its last node should be immediately recognized as a closed ring without any stitching.\n\n6. **Way splitting at shared internal nodes**: Create two ways that share an internal node (not just endpoints). Verify sub-way splitting produces the correct number of sub-ways and that stitching still works.\n\n7. **Budget-limited backtracking**: Create a relation with >30 sub-ways to verify that backtracking is skipped (the `sub_ways.size() <= 30` guard) and greedy results are used.\n\n8. **Inner-way retry**: Create an outer ring with a gap that can only be closed by including an \"inner\"-role way. Verify that the first pass returns 0 rings and the retry with `include_all_roles=true` succeeds.\n\n**B. Geometry Utilities**\n\n9. **Douglas-Peucker simplification**: Test with a known polygon. Verify that `simplify_polygon(pts, max)` returns <= `max` vertices and that the simplified shape preserves key points.\n\n10. **simplify_polygon passthrough**: If input has fewer vertices than `max_vertices`, verify input is returned unchanged.\n\n11. **Ring self-intersection with large ring (sweep-line path)**: Create a ring with >32 vertices that has a self-intersection. Verify the sweep-line code path (not brute force) detects it.\n\n12. **Ring self-intersection with adjacent-segment false positive**: Verify that adjacent segments sharing an endpoint are not flagged as intersecting.\n\n13. **polygon_area for non-trivial shapes**: Test with a known triangle or irregular polygon and compare against expected area.\n\n**C. StringPool**\n\n14. **Intern returns same offset for duplicate strings**: Intern \"hello\" twice, verify same uint32_t returned.\n\n15. **Intern returns different offsets for different strings**: Intern \"hello\" and \"world\", verify different offsets.\n\n16. **Intern empty string**: Verify interning \"\" works and returns a valid offset where data()[offset] == '\\0'.\n\n17. **Intern long string / string with special characters**: UTF-8 strings, strings with embedded special characters.\n\n**D. S2 Cell Computation**\n\n18. **cover_edge same-cell fast path**: Two points in the same S2 cell return exactly 1 cell ID.\n\n19. **cover_edge adjacent-cell path**: Two points in adjacent cells with midpoint in one of them return exactly 2 cells.\n\n20. **cover_edge long-edge path**: Two distant points that require S2RegionCoverer. Verify result contains more than 2 cells.\n\n21. **cover_polygon deduplication**: Verify no duplicate cell IDs in the result.\n\n22. **cover_polygon interior marking**: Verify that cells fully inside a large polygon are marked `is_interior=true`.\n\n23. **cover_polygon with <3 points**: Returns empty vector.\n\n**E. Cache Serialization**\n\n24. **Round-trip serialize/deserialize for vectors**: Create a ParsedData with known values, serialize, deserialize, verify equality.\n\n25. **Round-trip for cell maps**: Same for cell_to_ways etc.\n\n26. **Cache version mismatch**: Verify that a cache with wrong version is rejected.\n\n27. **Cache with truncated data**: Verify graceful failure on corrupted input.\n\n**F. Continent Filtering**\n\n28. **cell_in_bbox basic**: Verify a known Monaco cell is in the Europe bbox but not in Africa.\n\n29. **filter_by_bbox preserves referenced data**: Filter a small dataset, verify that all ways/addrs referenced by the surviving cell map are present in the output.\n\n30. **filter_by_bbox string pool compaction**: Verify the output string pool only contains strings referenced by surviving items.\n\n**G. Write Phase**\n\n31. **write_entries_from_sorted with empty input**: Verify no crash and empty output.\n\n32. **write_entries merge-join with gaps**: Verify NO_DATA offsets for cells with no items (already partially tested, but expand to test the parallel chunked path).\n\n**H. parse_house_number**\n\n33. **Leading digits**: `parse_house_number(\"42a\")` returns 42.\n\n34. **No digits**: `parse_house_number(\"abc\")` returns 0.\n\n35. **Null input**: `parse_house_number(nullptr)` returns 0.\n\n36. **Pure number**: `parse_house_number(\"123\")` returns 123.\n\n**I. add_admin_polygon normalization**\n\n37. **Ring rotation normalization**: Two rings with the same vertices but different starting points should produce the same normalized output after `add_admin_polygon`.\n\n38. **Vertex count clamped to uint16_t max**: Verify behavior with >65535 vertices.\n\n---\n\n## Recommended Implementation Sequence\n\n**Phase 1: Extract testable utility functions** (enables unit testing without osmium)\n1. Move `coord_key` to a standalone function\n2. Extract geometry utilities to `geometry.h/cpp`\n3. Extract `StringPool` to `string_pool.h`\n4. Extract binary structs to `binary_structs.h`\n\n**Phase 2: Write unit tests for extracted utilities**\n- Tests for StringPool, coord_key, geometry functions, parse_house_number\n- Tests for ring assembly with controlled inputs\n\n**Phase 3: Extract larger modules**\n- S2 helpers, cache serialization, continent filter, index writer\n- Ring assembly module\n\n**Phase 4: Refactor main()**\n- Extract argument parsing\n- Extract DenseIndex to its own header\n- Break the way processing lambda into smaller functions\n- Eliminate dead code (try/catch blocks, unused sequential BuildHandler methods)\n\n### Critical Files for Implementation\n\n- `/root/traccar-geocoder/builder/src/build_index.cpp` - The 3295-line monolith to refactor; contains all logic\n- `/root/traccar-geocoder/builder/test/test_ring_assembly.cpp` - Existing 12 unit tests to extend with 30+ new tests\n- `/root/traccar-geocoder/builder/CMakeLists.txt` - Must be updated to compile new source files and test targets\n- `/root/traccar-geocoder/builder/test/test_integration.sh` - Integration test to verify refactoring preserves behavior\n- `/root/traccar-geocoder/builder/test/VALIDATION_REPORT.md` - Documents expected behavior/precision for regression testing"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2459,"cache_read_input_tokens":75366,"cache_creation":{"ephemeral_5m_input_tokens":2459,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CZKph6fGn1uFx1rERzRB3","type":"assistant","uuid":"d32e7e20-a940-4e72-a70e-26d40678c7d3","timestamp":"2026-03-23T10:06:18.401Z","userType":"external","entrypoint":"cli","cwd":"/root/traccar-geocoder","sessionId":"af1c4baa-0f9a-4420-a8b3-ce20dc28c8b9","version":"2.1.81","gitBranch":"main","slug":"concurrent-humming-sonnet"}