{"parentUuid":"fea2219c-08a9-4f8e-9e62-70c37ccfd9f4","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01PjaH1s7iNHZvLNzxyX1QGR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JAxgoJ9R3WbLagWnJAQQvp","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/src/build_index.cpp","offset":1597,"limit":500},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8565,"cache_read_input_tokens":35757,"output_tokens":105,"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":8565},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpfHBEqxk2EvTHrdFoD","type":"assistant","uuid":"e811b129-9ca5-476e-9baa-0ea362314e45","timestamp":"2026-03-23T10:04:24.936Z","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":"e811b129-9ca5-476e-9baa-0ea362314e45","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01JAxgoJ9R3WbLagWnJAQQvp","toolUseID":"toolu_01JAxgoJ9R3WbLagWnJAQQvp","timestamp":"2026-03-23T10:04:25.605Z","uuid":"a9f857be-3737-4e80-a6fe-75dd19c46428","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":"e811b129-9ca5-476e-9baa-0ea362314e45","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JAxgoJ9R3WbLagWnJAQQvp","type":"tool_result","content":" 1597→ std::unordered_map addr_remap;\n 1598→ {\n 1599→ std::vector sorted_ids(used_addr_ids.begin(), 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 2096→"}]},"uuid":"2e7b1c14-0e51-49a5-98b7-f56aa95407c4","timestamp":"2026-03-23T10:04:25.605Z","sourceToolAssistantUUID":"e811b129-9ca5-476e-9baa-0ea362314e45","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":"2e7b1c14-0e51-49a5-98b7-f56aa95407c4","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01JHwf5m7wxuY9uxUEHoWsSt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019X77ZL6wvWB4Bw9RXHnia1","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/src/build_index.cpp","offset":2096,"limit":500},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9264,"cache_read_input_tokens":44322,"output_tokens":105,"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":9264},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpfdDVrwTSwKvf3ENbr","type":"assistant","uuid":"79eba25f-154b-46bd-a27c-0e1830ef7128","timestamp":"2026-03-23T10:04:30.610Z","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":"79eba25f-154b-46bd-a27c-0e1830ef7128","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_019X77ZL6wvWB4Bw9RXHnia1","toolUseID":"toolu_019X77ZL6wvWB4Bw9RXHnia1","timestamp":"2026-03-23T10:04:30.856Z","uuid":"7efda0f0-c216-4d16-905e-3df2eaad60fc","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":"79eba25f-154b-46bd-a27c-0e1830ef7128","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019X77ZL6wvWB4Bw9RXHnia1","type":"tool_result","content":" 2096→\n 2097→ write_futures.push_back(std::async(std::launch::async, [&] {\n 2098→ std::ofstream f(output_dir + \"/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→ }"}]},"uuid":"b6edac54-0724-4821-a2f1-2f027d969859","timestamp":"2026-03-23T10:04:30.855Z","sourceToolAssistantUUID":"79eba25f-154b-46bd-a27c-0e1830ef7128","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":"b6edac54-0724-4821-a2f1-2f027d969859","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01WjYsuvUwx42vgAoZvfM2X1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EZkaVXwbp7VoRAsy66NXJm","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/src/build_index.cpp","offset":2595,"limit":500},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":8787,"cache_read_input_tokens":53586,"output_tokens":105,"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":8787},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpg1PzQe1HAqQDxkPZk","type":"assistant","uuid":"65f27ca0-9514-48d5-9446-fb037ff85e3e","timestamp":"2026-03-23T10:04:34.889Z","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,"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"} {"parentUuid":"5c8e4091-fa5a-4cc3-8770-91e07719bdd6","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01SVcJbHSr1MTVUn27oXbWru","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DbP1EArwEd2RmqcEwoTD6z","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/src/build_index.cpp","offset":3094,"limit":300},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":9264,"cache_read_input_tokens":62373,"output_tokens":105,"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":9264},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpgKrFdA7Ve9xMpgAXA","type":"assistant","uuid":"aa76d5f0-53ac-4ab1-8811-196d492bd2d6","timestamp":"2026-03-23T10:04:41.093Z","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":"aa76d5f0-53ac-4ab1-8811-196d492bd2d6","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01DbP1EArwEd2RmqcEwoTD6z","toolUseID":"toolu_01DbP1EArwEd2RmqcEwoTD6z","timestamp":"2026-03-23T10:04:41.113Z","uuid":"f9041e24-56ef-4459-9030-478522102e3f","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":"aa76d5f0-53ac-4ab1-8811-196d492bd2d6","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DbP1EArwEd2RmqcEwoTD6z","type":"tool_result","content":" 3094→ }\n 3095→ for (auto& t : threads) t.join();\n 3096→ }\n 3097→ log_phase(\" S2: interp ways (parallel)\", _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"} {"parentUuid":"1e5dff93-4c22-4f79-8159-088e9bd82a85","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01WXcy7ax8i4a2C6bCss7Koh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Btvn9LFNiaFMtqayYa2gHA","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/test/VALIDATION_REPORT.md"},"caller":{"type":"direct"}}],"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":"92dcd023-b439-49d5-8bb0-380195096e75","timestamp":"2026-03-23T10:04:45.466Z","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,"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"} {"parentUuid":"47f3c15a-ee8e-4441-9c1b-889655e9ee60","isSidechain":true,"agentId":"a3d306773135626e0","message":{"model":"claude-opus-4-6","id":"msg_01WXcy7ax8i4a2C6bCss7Koh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014EUfgkM4shMo7K1T2TZhCE","name":"Read","input":{"file_path":"/root/traccar-geocoder/builder/CMakeLists.txt"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":3729,"cache_read_input_tokens":71637,"output_tokens":138,"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":3729},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CZKpgm7HigqeFbjDGPved","type":"assistant","uuid":"dd6b8743-fc31-4eb5-a9e9-7bdf5446a3b2","timestamp":"2026-03-23T10:04:45.636Z","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":"dd6b8743-fc31-4eb5-a9e9-7bdf5446a3b2","isSidechain":true,"agentId":"a3d306773135626e0","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_014EUfgkM4shMo7K1T2TZhCE","toolUseID":"toolu_014EUfgkM4shMo7K1T2TZhCE","timestamp":"2026-03-23T10:04:45.643Z","uuid":"85d4b2fa-3143-4b23-953a-2910ecdbbed4","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":"dd6b8743-fc31-4eb5-a9e9-7bdf5446a3b2","isSidechain":true,"promptId":"24c85b28-55f7-4d07-94d9-d9291c0cdcf1","agentId":"a3d306773135626e0","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014EUfgkM4shMo7K1T2TZhCE","type":"tool_result","content":" 1→cmake_minimum_required(VERSION 3.16)\n 2→project(traccar-geocoder-build LANGUAGES CXX)\n 3→\n 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"}