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openSUSE:Leap:15.2:Staging:A
GeoIP
geoip-csv-to-dat.cpp
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File geoip-csv-to-dat.cpp of Package GeoIP
/* geoip-csv-to-dat - convert a country database from CSV to GeoIP binary format * * Copyright (c) 2009 Kalle Olavi Niemitalo. * Copyright (c) 2011 Patrick Matthäi * Copyright (c) 2014 Andrew Moise * * Permission to use, copy, modify, and/or distribute this software for any * purpose with or without fee is hereby granted, provided that the above * copyright notice and this permission notice appear in all copies. * * THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES * WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF * MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR * ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES * WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN * ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF * OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. */ #define _GNU_SOURCE 1 #include <algorithm> #include <arpa/inet.h> #include <cerrno> #include <cstdio> #include <cstdlib> #include <cstring> #include <error.h> #include <fstream> #include <getopt.h> #include <iostream> #include <queue> #include <set> #include <sstream> #include <stack> #include <string> #include <sys/socket.h> #include <sys/types.h> #include <sysexits.h> #include <vector> #include <GeoIP.h> // Format of GeoIP Database files // ====================================== // // 1. Binary trie mapping IP addresses to locations. // 2. Information about each location (only in city DBs). // 3. Optional unused data. // 4. Optional database-info block. // 5. Optional structure-info block. // // Binary trie // ----------- // // The trie treats IP addresses as bit sequences and maps them to // location numbers. // // In the country database format, each such number is a country ID // that GeoIP_id_by_ipnum() would return. The meanings of country IDs // are hardcoded in libGeoIP and cannot be overridden by the database. // // In the city database format, each such number is a position to seek // to, within section #2 (information about each location), in order // to find a record giving information about the location associated // with that IP. // // The root node of the trie is at the beginning of the file, and the // other nodes then follow it. Each node has the same size and // consists of two little-endian pointers that correspond to the two // possible values of a bit. The pointers are 24-bit, and each node // is thus 6 bytes long. // // To traverse the trie, you go one bit at a time through the IP // address you're looking up -- starting at bit 0, and starting at the // root node of the trie. For each bit, you look at the current node, // and take the left branch (the first of the two pointers) if the bit // is 0, otherwise take the right branch. It is allowed for a node // pointer to refer back to earlier nodes in the file, but loops are // not allowed. // // If the pointer you're looking at is less than the total number of // nodes in the trie, it indicates the next node you should // examine. If the pointer you're looking at is greater than or equal // to the total number of nodes, it indicates a leaf -- the end of // your search. // // The meaning of the leaf pointers depends on the database type: // // In country databases, 0xFFFF?? indicates that the country ID // for that IP address is equal to the ?? part. 0xFFFF00 indicates // that the IP address you queried is not in the database. // // City databases contain an extra segment which contains location // information records. A leaf pointer equal to (number of nodes in // the trie + X) indicates that the location information for the IP // address you queried can be found in the location information // segment, at offset X. A leaf pointer exactly equal to the number of // nodes in the trie indicates that the location information for the // IP address you queried is not stored in this database. // // Location segment // -------------------- // // City databases contain a location segment. Each record in this // segment contains information about a single location which IP // addresses may be mapped to. Pointers to records in this segment are // contained within leaf nodes of the trie; each record contains, in // this order: // // * A country ID, as a single byte // * A "region" (generally state or province), as a NULL-terminated string // * A city name, as a NULL-terminated string // * A postal code, as a NULL-terminated string // * Encoded latitude, as a little-endian 3-byte integer. To convert // back to actual latitude, divide by 10000 and subtract 180. // * Encoded longitude, as a little-endian 3-byte integer. To convert // back to actual longitude, divide by 10000 and subtract 180. // * Area code and metro code (ONLY if the country is US). These are // encoded into a single little-endian 3-byte integer. The area code // is the encoded value modulo 1000, and the metro code is the // encoded value divided by 1000. If the country is not US, this // field is not present. // // The string fields may be equal to empty strings, but all fields are // always included (except area/metro code, which is included if and // only if the country is US). // // All strings seem to be in ISO-8859-1 encoding. // // Optional unused data // -------------------- // // The file format permits any amount of extra data between the binary // trie and the optional blocks. // // Optional database-info block // ---------------------------- // // Near the end of the file, there may be a three-byte tag (0x00 0x00 // 0x00) followed by at most DATABASE_INFO_MAX_SIZE - 1 = 99 bytes of // text that describes the database. GeoIP_database_info() returns // this text and appends a terminating '\0'. // // The GeoLite Country IPv4 database downloadable from MaxMind // includes this database-info block. // // Optional structure-info block // ----------------------------- // // At the very end of the file, there may be a three-byte tag (0xFF // 0xFF 0xFF) followed by at most STRUCTURE_INFO_MAX_SIZE - 1 = 19 // bytes. The first byte is the database type, // e.g. GEOIP_COUNTRY_EDITION = 1 or GEOIP_COUNTRY_EDITION_V6 = 12, // possibly with 105 added to it. Type-specific information then // follows. There is no type-specific information for the country // editions. // // The GeoLite Country IPv4 database downloadable from MaxMind does // not include this structure-info block. /************************************************* * Binary trie * * This section implements a data structure representing the trie * which, within a .dat file, maps IP address ranges to locations. *************************************************/ namespace { class binary_trie { public: typedef uint_fast32_t edge_type; struct node { edge_type edges[2]; }; explicit binary_trie(edge_type leaf); void set_range( const uint8_t range_min[], const uint8_t range_max[], std::size_t bit_count, edge_type leaf); void reorder_depth_first(); void reorder_in_blocks(std::size_t bytes_per_block); std::vector<node>::iterator nodes_begin() { return nodes.begin(); } std::vector<node>::iterator nodes_end() { return nodes.end(); } private: std::vector<node> nodes; // This could be std::vector<bool> but that seems slower. typedef std::vector<uint8_t> bits_vector; void set_range_in_node( const bits_vector *min_bits, const bits_vector *max_bits, std::size_t bit_pos, edge_type edit_node, edge_type leaf); void set_range_in_edge( const bits_vector *min_bits, const bits_vector *max_bits, std::size_t bit_pos, edge_type edit_node, bool bit, edge_type leaf); void reorder( const std::vector<edge_type> &old_to_new, const std::vector<edge_type> &new_to_old); }; } /** Construct a binary trie and its root node. * * \param leaf * Both edges of the root node will initially point to this leaf. * The caller should provide a value that means nothing was found. */ binary_trie::binary_trie(edge_type leaf) { const node node = {{ leaf, leaf }}; nodes.push_back(node); } /** Edit the trie so it maps a range of bit sequences to the same * leaf. * * \param range_min * The first bit sequence in the range. Eight bits are packed in each * byte. The most significant bit of the whole sequence is in the * most significant bit of the first byte. * * \param range_max * The last bit sequence in the range. * * \param bit_count * The number of bits in both sequences. * * \param leaf * The leaf to which all the bit sequences in the range should be * mapped. */ void binary_trie::set_range( const uint8_t range_min[], const uint8_t range_max[], std::size_t bit_count, edge_type leaf) { bits_vector min_bits(bit_count); bits_vector max_bits(bit_count); for (std::size_t i = 0; i < bit_count; ++i) { std::size_t byte_pos = i / 8; uint8_t mask = 1 << ((~i) % 8); min_bits[i] = ((range_min[byte_pos] & mask) != 0); max_bits[i] = ((range_max[byte_pos] & mask) != 0); } set_range_in_node(&min_bits, &max_bits, 0, 0, leaf); } /** Edit a node in the trie so it maps a range of bit sequences to the * same leaf. * * \param min_bits * The first bit sequence in the range, or NULL if unbounded. * * \param max_bits * The last bit sequence in the range, or NULL if unbounded. * * \param bit_pos * Which bit in the sequences corresponds to \a edit_node. * * \param edit_node * The node to be modified. * * \param leaf * The leaf to which all the bit sequences in the range should be * mapped. */ void binary_trie::set_range_in_node( const bits_vector *min_bits, const bits_vector *max_bits, std::size_t bit_pos, edge_type edit_node, edge_type leaf) { if (!min_bits || (*min_bits)[bit_pos] == false) { set_range_in_edge(min_bits, (max_bits && (*max_bits)[bit_pos] == false) ? max_bits : NULL, bit_pos + 1, edit_node, false, leaf); } if (!max_bits || (*max_bits)[bit_pos] == true) { set_range_in_edge((min_bits && (*min_bits)[bit_pos] == true) ? min_bits : NULL, max_bits, bit_pos + 1, edit_node, true, leaf); } } /** Edit an edge in the trie so it maps a range of bit sequences to * the same leaf. * * \param min_bits * The first bit sequence in the range, or NULL if unbounded. * * \param max_bits * The last bit sequence in the range, or NULL if unbounded. * * \param bit_pos * Which bit in the sequences corresponds to \a bit. * * \param edit_node * The node in which the edge to be modified is located. * * \param bit * Which edge of \a edit_node should be modified. * * \param leaf * The leaf to which all the bit sequences in the range should be * mapped. */ void binary_trie::set_range_in_edge( const bits_vector *min_bits, const bits_vector *max_bits, std::size_t bit_pos, edge_type edit_node, bool bit, edge_type leaf) { // Check if the range fills this edge entirely. bool entire = true; if (min_bits && std::find(min_bits->begin() + bit_pos, min_bits->end(), true) != min_bits->end()) entire = false; if (max_bits && std::find(max_bits->begin() + bit_pos, max_bits->end(), false) != max_bits->end()) entire = false; if (entire) { nodes[edit_node].edges[bit] = leaf; } else { edge_type next = nodes[edit_node].edges[bit]; if (next >= nodes.size()) { const node new_node = {{ next, next }}; next = nodes.size(); nodes.push_back(new_node); nodes[edit_node].edges[bit] = next; } set_range_in_node(min_bits, max_bits, bit_pos, next, leaf); } } /** Renumber the nodes in depth-first order. */ void binary_trie::reorder_depth_first() { std::vector<edge_type> old_to_new, new_to_old; std::stack<edge_type> depth_first; old_to_new.resize(nodes.size(), -1); new_to_old.reserve(nodes.size()); depth_first.push(0); while (!depth_first.empty()) { const edge_type edge = depth_first.top(); depth_first.pop(); if (edge < nodes.size()) { old_to_new[edge] = new_to_old.size(); new_to_old.push_back(edge); depth_first.push(nodes[edge].edges[1]); depth_first.push(nodes[edge].edges[0]); } } reorder(old_to_new, new_to_old); } /** Renumber the nodes to make lookups use CPU and disk caches more * effectively. * * First group the nodes into blocks so that each block contains the * root of a subtrie and as many levels of its descendants as will * fit. This way, after the root is paged in, the next few lookup * steps need not page in anything else. Then, sort the nodes of each * block in depth-first order. That should give each lookup almost * 1/2 chance to find the next node immediately adjacent. * * With a block size of 1024 bytes, this renumbering reduces the time * required for random lookups by about 1.1%, compared to a plain * depth-first order. However, it's still 2.3% slower than the * database optimized by MaxMind. */ void binary_trie::reorder_in_blocks( std::size_t bytes_per_block) { const edge_type none = -1; std::vector<edge_type> old_to_new, new_to_old; ssize_t bytes_left = bytes_per_block; old_to_new.resize(nodes.size(), none); new_to_old.reserve(nodes.size()); for (edge_type subtrie = 0; subtrie < nodes.size(); ++subtrie) { // If subtrie has already been added to the output, // ignore it. if (old_to_new[subtrie] != none) continue; // Walk breadth-first from subtrie until we have a // block full of nodes or the subtrie runs out. Don't // add these nodes immediately to the output, however. // Instead just list them in nodes_in_block. std::set<edge_type> nodes_in_block; std::queue<edge_type> breadth_first; breadth_first.push(subtrie); if (bytes_left <= 0) bytes_left += bytes_per_block; while (bytes_left > 0 && !breadth_first.empty()) { edge_type edge = breadth_first.front(); breadth_first.pop(); if (edge >= nodes.size()) continue; // Let the last node of the block straddle the // block boundary. That's better than making // the hotter first node do so. bytes_left -= 6; nodes_in_block.insert(edge); breadth_first.push(nodes[edge].edges[0]); breadth_first.push(nodes[edge].edges[1]); } // Add the nodes from nodes_in_block to the output in // depth-first order. This assumes they are all // reachable from subtrie. std::stack<edge_type> depth_first; depth_first.push(subtrie); while (!depth_first.empty()) { edge_type edge = depth_first.top(); depth_first.pop(); if (nodes_in_block.find(edge) == nodes_in_block.end()) continue; old_to_new[edge] = new_to_old.size(); new_to_old.push_back(edge); depth_first.push(nodes[edge].edges[1]); depth_first.push(nodes[edge].edges[0]); } } reorder(old_to_new, new_to_old); } void binary_trie::reorder( const std::vector<edge_type> &old_to_new, const std::vector<edge_type> &new_to_old) { std::vector<node> new_nodes; new_nodes.reserve(new_to_old.size()); for (std::vector<edge_type>::const_iterator it = new_to_old.begin(); it != new_to_old.end(); ++it) { node new_node; for (int bit = 0; bit <= 1; ++bit) { edge_type old_edge = nodes[*it].edges[bit]; if (old_edge < nodes.size()) new_node.edges[bit] = old_to_new[old_edge]; else new_node.edges[bit] = old_edge; } new_nodes.push_back(new_node); } swap(new_nodes, nodes); } /************************************************* * CSV file support * * This section implements reading from .csv files. *************************************************/ namespace { /** Interface for classes interested in .csv data -- this should be * implemented and then passed to csv_read_file(), which will then * call read_csv_line(), providing the data in the .csv file. */ class csv_data_reader { public: virtual ~csv_data_reader() {} virtual void read_csv_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &fields) = 0; }; } namespace { /** Convert a line from a .csv file into a vector of * tokens. For internal use by the .csv reading code. */ void csv_line_to_vector( const std::string &line, std::vector<std::string> &fields) { fields.clear(); std::vector<char> field; bool quoted = false; bool spaces_after_comma = false; for (std::string::const_iterator it = line.begin(); it != line.end(); ++it) { if (*it == '"') { quoted = !quoted; spaces_after_comma = false; } else if (*it == ',' && !quoted) { fields.push_back(std::string(field.begin(), field.end())); field.clear(); spaces_after_comma = true; } else if (*it == ' ' && spaces_after_comma) { } else { field.push_back(*it); spaces_after_comma = false; } } fields.push_back(std::string(field.begin(), field.end())); } /** Load data from a CSV-formatted stream. * * \param reader * The reader to call for each line of the CSV * * \param csv_file_name * The name of the file that \a csv_stream is reading. * This string is used only for error messages. * * \param csv_stream * The stream to read from. */ void csv_read_stream( csv_data_reader &reader, const char *csv_file_name, std::istream &csv_stream) { std::string csv_line; std::vector<std::string> csv_fields; int csv_line_number = 0; while (getline(csv_stream, csv_line)) { ++csv_line_number; csv_line_to_vector(csv_line, csv_fields); reader.read_csv_line(csv_file_name, csv_line_number, csv_fields); } if (csv_stream.bad()) { error(EX_IOERR, errno, "%s", csv_file_name); } } /** Load data from a CSV-formatted file or standard input. * * \param reader * The reader to call for each line of the CSV. * * \param csv_file_name * The name of the CSV file that should be read, or "-" for * standard input. */ void csv_read_file( csv_data_reader &reader, const char *csv_file_name) { if (std::strcmp(csv_file_name, "-") == 0) { csv_read_stream(reader, csv_file_name, std::cin); } else { std::ifstream csv_stream(csv_file_name, std::ios::in); if (!csv_stream) { error(EX_NOINPUT, errno, "%s", csv_file_name); } csv_read_stream(reader, csv_file_name, csv_stream); } } } /************************************************* * .dat file support * * This section implements support code for writing out .dat files in * Maxmind DB format. *************************************************/ namespace { /** .dat file writer class * * To write out a .dat file, construct a dat_writer, then call * (in this order): * * write_trie() * write_database_info (optional) * write_structure_info() * * Setting dat_file_name to "-" will write to standard output; * otherwise, a file will be created, and closed when the * dat_writer is deleted. */ class dat_writer { public: dat_writer(const char *dat_file_name, GeoIPDBTypes database_type); virtual ~dat_writer(); void write_trie(binary_trie &trie); void write_database_info(const char *database_info); virtual void write_structure_info(); protected: std::ostream *dat_stream; bool need_to_delete_stream; std::string dat_file_name; GeoIPDBTypes database_type; }; } dat_writer::dat_writer(const char *dat_file_name, GeoIPDBTypes database_type): dat_file_name(dat_file_name), database_type(database_type) { if (std::strcmp(dat_file_name, "-") == 0) { dat_stream = &std::cout; need_to_delete_stream = false; } else { dat_stream = new std::ofstream(dat_file_name, std::ios::out | std::ios::binary); if (!dat_stream) { error(EX_CANTCREAT, errno, "%s", dat_file_name); } need_to_delete_stream = true; } } dat_writer::~dat_writer() { if (need_to_delete_stream) delete dat_stream; } void dat_writer::write_trie(binary_trie &trie) { for (std::vector<binary_trie::node>::iterator it = trie.nodes_begin(); it != trie.nodes_end(); ++it) { union { uint8_t bytes[6]; char chars[6]; } binary = {{ (uint8_t) ((it->edges[0] ) & 0xFF), (uint8_t) ((it->edges[0] >> 8) & 0xFF), (uint8_t) ((it->edges[0] >> 16) & 0xFF), (uint8_t) ((it->edges[1] ) & 0xFF), (uint8_t) ((it->edges[1] >> 8) & 0xFF), (uint8_t) ((it->edges[1] >> 16) & 0xFF) }}; dat_stream->write(binary.chars, 6); if (dat_stream->bad()) error(EX_IOERR, errno, "%s", dat_file_name.c_str()); } } void dat_writer::write_database_info(const char *database_info) { const char tag[3] = { 0, 0, 0 }; dat_stream->write(tag, 3); dat_stream->write(database_info, std::strlen(database_info)); if (dat_stream->bad()) { error(EX_IOERR, errno, "%s", dat_file_name.c_str()); } } void dat_writer::write_structure_info() { const char structure_info[4] = { (char)0xFF, (char)0xFF, (char)0xFF, (char)database_type }; dat_stream->write(structure_info, 4); } /************************************************* * .dat file writer class, extended for city DBs *************************************************/ namespace { class city_dat_writer : public dat_writer { public: // All serialized location information, in one big // undifferentiated block std::stringstream location_stream; // Seek offset of each location within // location_stream (relative to the beginning of // location_stream). An offset of -1 means that that // location is not in the table (can happen if the // location info's out of order). std::vector<int> location_pos; // Set of location IDs that are actually going to be used; // we'll silently ignore any locations not in this set. std::set<int> needed_locations; city_dat_writer(const char *dat_file_name, GeoIPDBTypes database_type); // Notify of a location ID we need -- this MUST be // called for every location ID you care about before // the location CSV is read; any ID not explicitly // notified will be discarded. void notify_need_location(int loc_id); void serialize_location_info(std::vector<std::string> &info, const char *input_file_name, int input_line_number); void finalize_location_offsets(binary_trie &trie); void write_locations(); virtual void write_structure_info(binary_trie &trie); }; } city_dat_writer::city_dat_writer(const char *dat_file_name, GeoIPDBTypes database_type) : dat_writer(dat_file_name, database_type) { } void city_dat_writer::notify_need_location(int loc_id) { needed_locations.insert(loc_id); } void city_dat_writer::finalize_location_offsets(binary_trie &trie) { // We're going to convert the location numbers in the trie // into the final location numbers we're going to want to // write to disk. Previous to this call, leaf nodes in the // trie have the value: // // 0x1000000 + the location number // // After this call, leaf nodes in the trie have the value: // // (total number of nodes in the trie) + (offset of location // record in the location segment) // // Absence of a record is indicated by the value 0x1000000 // before this call, and by the value (total number of nodes // in the trie) after this call. int trie_size = std::distance(trie.nodes_begin(), trie.nodes_end()); for(std::vector<binary_trie::node>::iterator it = trie.nodes_begin(); it != trie.nodes_end(); ++it) { if (it->edges[0] == 0x1000000) // No data it->edges[0] = trie_size; else if (it->edges[0] > 0x1000000) { // Ptr to location block int loc_id = it->edges[0] - 0x1000000; if (loc_id >= location_pos.size() || location_pos[loc_id] == -1) error(EX_DATAERR, 1, "Location %d exists in blocks but not in locations", loc_id); int offset = location_pos[loc_id] + trie_size; if (offset > 0xFFFFFF) error(EX_DATAERR, 1, "Overflow! Offset for location %d too large (0x%x > 0xFFFFFF)", loc_id, offset); it->edges[0] = offset; } // Any other value would indicate a non-leaf node if (it->edges[1] == 0x1000000) // No data it->edges[1] = trie_size; else if (it->edges[1] > 0x1000000) { // Ptr to location block int loc_id = it->edges[1] - 0x1000000; if (loc_id >= location_pos.size() || location_pos[loc_id] == -1) error(EX_DATAERR, 1, "Location %d exists in blocks but not in locations", loc_id); int offset = location_pos[loc_id] + trie_size; if (offset > 0xFFFFFF) error(EX_DATAERR, 1, "Overflow! Offset for location %d too large (0x%x > 0xFFFFFF)", loc_id, offset); it->edges[1] = offset; } // Any other value would indicate a non-leaf node } } void city_dat_writer::write_locations() { *dat_stream << location_stream.rdbuf(); if (dat_stream->bad()) { error(EX_IOERR, errno, "%s", dat_file_name.c_str()); } } void city_dat_writer::write_structure_info(binary_trie &trie) { int trie_size = std::distance(trie.nodes_begin(), trie.nodes_end()); const char structure_info[7] = { (char)0xFF, (char)0xFF, (char)0xFF, (char)database_type, (char)((trie_size ) & 0xFF), (char)((trie_size >> 8 ) & 0xFF), (char)((trie_size >> 16) & 0xFF)}; dat_stream->write(structure_info, 7); } /** Convert location info into on-disk format * * \param info the location info read from the .csv file: * * info[CSV_LOCATION_FIELD_COUNTRY] is the country id * info[CSV_LOCATION_FIELD_REGION] is the region * info[CSV_LOCATION_FIELD_CITY] is the city * * ... and so on. * * \param result a vector to append the on-disk converted information * to. * * \param input_line_number input file line number (for error * notifications) **/ void city_dat_writer::serialize_location_info(std::vector<std::string> &info, const char *input_file_name, int input_line_number) { // First, we determine the offset of this location block. int loc_id = ::atoi(info[0].c_str()); if (needed_locations.find(loc_id) == needed_locations.end()) { // We don't need this location, so we skip serializing // it altogether. return; } if (loc_id >= location_pos.size()) { // We need to add to the location table (this is the // usual case). while(loc_id > location_pos.size()) { // If some numbers were skipped in the data, // then we need to add some empty locations to // the table before we find our spot. location_pos.push_back(-1); } // Now we have our spot, insert this location. location_pos.push_back(location_stream.tellp()); } else { // We already have a space in the table for this location -- // if it's not empty, then we have two locations with the same // ID, and we print an error. if (location_pos[loc_id] != -1) { error_at_line(EX_DATAERR, 0, input_file_name, input_line_number, "Duplicate location info for ID %d", loc_id); } location_pos[loc_id] = location_stream.tellp(); } // Country ID int country_id; if (info[1] != "AN") country_id = GeoIP_id_by_code(info[1].c_str()); else country_id = GeoIP_id_by_code("CW"); if (country_id == 0) { error(EX_DATAERR, 1, dat_file_name.c_str(), input_line_number, "Unrecognized country code: %s", info[1].c_str()); } location_stream.put(country_id); // Region location_stream << info[2]; location_stream.put('\0'); // City location_stream << info[3]; location_stream.put('\0'); // Postal code location_stream << info[4]; location_stream.put('\0'); // Latitude double latitude_dbl = ::atof(info[5].c_str()); int latitude_int = (latitude_dbl + 180) * 10000; location_stream.put((latitude_int >> 0) & 0xFF); location_stream.put((latitude_int >> 8) & 0xFF); location_stream.put((latitude_int >> 16) & 0xFF); // Longitude double longitude_dbl = ::atof(info[6].c_str()); int longitude_int = (longitude_dbl + 180) * 10000; location_stream.put((longitude_int >> 0) & 0xFF); location_stream.put((longitude_int >> 8) & 0xFF); location_stream.put((longitude_int >> 16) & 0xFF); // Area code and metro code if (info[1] == "US") { int metro_code = ::atoi(info[7].c_str()); int area_code = ::atoi(info[8].c_str()); int area_metro_combined = metro_code * 1000 + area_code; location_stream.put((area_metro_combined >> 0) & 0xFF); location_stream.put((area_metro_combined >> 8) & 0xFF); location_stream.put((area_metro_combined >> 16) & 0xFF); } } /************************************************* * Command line and options * * This section implements the command line parsing and stores the * options for controlling the program's behavior. *************************************************/ namespace { struct cmdline { const char *ip_block_csv_file_name; const char *location_csv_file_name; const char *dat_file_name; int address_family; GeoIPDBTypes database_type; const char *database_info; bool verbose; cmdline(int argc, char **argv); }; } cmdline::cmdline(int argc, char **argv): ip_block_csv_file_name("-"), location_csv_file_name(NULL), dat_file_name("-"), address_family(AF_INET), database_type(GEOIP_COUNTRY_EDITION), database_info(NULL), verbose(false) { enum { OPT_HELP = -2 }; static const struct option long_options[] = { { "inet", no_argument, NULL, '4' }, { "inet6", no_argument, NULL, '6' }, { "info", required_argument, NULL, 'i' }, { "location-csv", required_argument, NULL, 'l' }, { "output", required_argument, NULL, 'o' }, { "type", required_argument, NULL, 't' }, { "verbose", no_argument, NULL, 'v' }, { "help", no_argument, NULL, OPT_HELP }, { NULL, 0, NULL, 0 } }; static const char *const usage = "\ Usage: %s [OPTION] [CSV-FILE]...\n\ Convert a GeoIP database from CSV to GeoIP binary format.\n\ \n\ -4, --inet set database type to GEOIP_COUNTRY_EDITION, v4 addresses (default)\n\ -6, --inet6 set database type to GEOIP_COUNTRY_EDITION_V6, v6 addresses\n\ -t, --type=TYPE set database type explicitly (e.g. to GEOIP_CITY_EDITION_REV1)\n\ -i, --info=TEXT add copyright or other info TEXT to output\n\ -l, --location-csv=FILE set location CSV file name (required for GEOIP_CITY_EDITION_REV1)\n\ -o, --output=FILE write the binary data to FILE, not stdout\n\ -v, --verbose show what is going on\n\ --help display this help and exit\n"; for (;;) { int optret = getopt_long(argc, argv, "46i:l:o:t:v", long_options, NULL); if (optret == -1) break; switch (optret) { case '4': address_family = AF_INET; break; case '6': database_type = GEOIP_COUNTRY_EDITION_V6; address_family = AF_INET6; break; case 'i': database_info = optarg; if (std::strlen(database_info) > 99) { error(EX_USAGE, 0, "Database info must not be longer than 99 bytes"); } break; case 'l': location_csv_file_name = optarg; break; case 'o': dat_file_name = optarg; break; case 't': if (!strcmp(optarg, "GEOIP_COUNTRY_EDITION")) { database_type = GEOIP_COUNTRY_EDITION; } else if (!strcmp(optarg, "GEOIP_COUNTRY_EDITION_V6")) { database_type = GEOIP_COUNTRY_EDITION_V6; address_family = AF_INET6; } else if (!strcmp(optarg, "GEOIP_CITY_EDITION_REV1")) { database_type = GEOIP_CITY_EDITION_REV1; } else { error(EX_USAGE, 0, "Unrecognized database type (we support GEOIP_COUNTRY_EDITION, GEOIP_COUNTRY_EDITION_V6, \ GEOIP_CITY_EDITION_REV1)"); } break; case 'v': verbose = true; break; case OPT_HELP: std::printf(usage, program_invocation_name); std::exit(EX_OK); case '?': std::fprintf(stderr, "Try `%s --help' for more information.\n", program_invocation_name); std::exit(EX_USAGE); default: std::abort(); } } if (optind < argc) ip_block_csv_file_name = argv[optind++]; if (database_type == GEOIP_CITY_EDITION_REV1 && location_csv_file_name == NULL) { error(EX_USAGE, 0, "Must specify -l option when type is GEOIP_CITY_EDITION_REV1"); } if (optind < argc) { error(EX_USAGE, 0, "Only one non-option argument is allowed"); } } /************************************************* * Country DB reading and writing * * This section contains code implementing coverting a country .csv * file to a country .dat file. *************************************************/ namespace { class country_db_impl : public csv_data_reader { public: binary_trie trie; struct cmdline &cmdline; enum { CSV_FIELD_MIN_TEXT, CSV_FIELD_MAX_TEXT, CSV_FIELD_MIN_DECIMAL, CSV_FIELD_MAX_DECIMAL, CSV_FIELD_COUNTRY_CODE, CSV_FIELD_COUNTRY_NAME, CSV_FIELDS }; country_db_impl(struct cmdline &cmdline); void convert_db(std::ostream *verbose_stream); void read_csv_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &fields); }; } country_db_impl::country_db_impl(struct cmdline &in_cmdline): cmdline(in_cmdline), trie(0xFFFF00) { } /** Callback for receiving .csv data (see csv_read_file()) */ void country_db_impl::read_csv_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &csv_fields) { if (csv_fields.size() != CSV_FIELDS) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Wrong number of fields"); } if (csv_fields[CSV_FIELD_COUNTRY_CODE] == "AN") { csv_fields[CSV_FIELD_COUNTRY_CODE] = "CW"; } const int countryid = GeoIP_id_by_code(csv_fields[CSV_FIELD_COUNTRY_CODE].c_str()); if (countryid == 0) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Unrecognized country code: %s", csv_fields[CSV_FIELD_COUNTRY_CODE].c_str()); } const binary_trie::edge_type leaf = 0xFFFF00 + countryid; union { struct in_addr inet; uint8_t inetbytes[4]; struct in6_addr inet6; } minaddr, maxaddr; if (inet_pton(cmdline.address_family, csv_fields[CSV_FIELD_MIN_TEXT].c_str(), &minaddr) <= 0) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Cannot parse minimum address: %s", csv_fields[CSV_FIELD_MIN_TEXT].c_str()); } if (inet_pton(cmdline.address_family, csv_fields[CSV_FIELD_MAX_TEXT].c_str(), &maxaddr) <= 0) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Cannot parse maximum address: %s", csv_fields[CSV_FIELD_MAX_TEXT].c_str()); } switch (cmdline.address_family) { case AF_INET: trie.set_range(minaddr.inetbytes, maxaddr.inetbytes, 32, leaf); break; case AF_INET6: trie.set_range(minaddr.inet6.s6_addr, maxaddr.inet6.s6_addr, 128, leaf); break; default: abort(); } } /** Convert a country DB from .csv to .dat. Parameters are mainly * controlled by the cmdline object. verbose_stream is (if non-NULL) * the stream to write verbose information to. */ void country_db_impl::convert_db(std::ostream *verbose_stream) { if (verbose_stream) { *verbose_stream << program_invocation_name << ": Reading CSV and building the trie" << std::endl; } csv_read_file(*this, cmdline.ip_block_csv_file_name); if (verbose_stream) { *verbose_stream << program_invocation_name << ": Optimizing" << std::endl; } trie.reorder_depth_first(); trie.reorder_in_blocks(1024); if (verbose_stream) { *verbose_stream << program_invocation_name << ": Writing output" << std::endl; } dat_writer writer(cmdline.dat_file_name, cmdline.database_type); writer.write_trie(trie); if (cmdline.database_info) writer.write_database_info(cmdline.database_info); writer.write_structure_info(); } /************************************************* * City DB conversion * * This section implements converting the two .csv files storing city * data to a city .dat file. *************************************************/ namespace { /** Implementation for converting a city DB */ class city_db_impl : public csv_data_reader { public: // Trie mapping IP ranges to location blocks binary_trie trie; // Writer for .dat file city_dat_writer writer; enum { STAGE_READING_BLOCKS, STAGE_READING_LOCATIONS }; // Which stage of CSV reading we're at (out of above // enum) int which_stage; struct cmdline &cmdline; enum { CSV_BLOCK_FIELD_MIN_DECIMAL, CSV_BLOCK_FIELD_MAX_DECIMAL, CSV_BLOCK_FIELD_LOC, CSV_BLOCK_FIELDS }; enum { CSV_LOCATION_FIELD_ID, CSV_LOCATION_FIELD_COUNTRY, CSV_LOCATION_FIELD_REGION, CSV_LOCATION_FIELD_CITY, CSV_LOCATION_FIELD_POSTALCODE, CSV_LOCATION_FIELD_LATITUDE, CSV_LOCATION_FIELD_LONGITUDE, CSV_LOCATION_FIELD_METROCODE, CSV_LOCATION_FIELD_AREACODE, CSV_LOCATION_FIELDS }; city_db_impl(struct cmdline &cmdline); void convert_db(std::ostream *verbose_stream); void read_csv_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &fields); void read_location_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &fields); void read_block_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &fields); // Check that a token within the "header" of the CSV // files is what we expect it to be, and cause a data // error if not. void check_csv_header_token(std::vector<std::string> &tokens, int token_number, const char *token_expected, const char *csv_file_name, int csv_line_number); }; } city_db_impl::city_db_impl(struct cmdline &in_cmdline): trie(0x1000000), // We use 0x1000000 as the beginning of the // location information, since we don't know // the real value and we'll need to remap all // the offsets later anyway. writer(in_cmdline.dat_file_name, in_cmdline.database_type), cmdline(in_cmdline), which_stage(STAGE_READING_BLOCKS) { } /** Convert a city DB from .csv to .dat. Parameters are mainly * controlled by the cmdline object. verbose_stream is (if non-NULL) * the stream to write verbose information to. */ void city_db_impl::convert_db(std::ostream *verbose_stream) { // Read the block data from CSV if (verbose_stream) { *verbose_stream << program_invocation_name << ": Reading block CSV and building the trie" << std::endl; } which_stage = STAGE_READING_BLOCKS; csv_read_file(*this, cmdline.ip_block_csv_file_name); if (verbose_stream) { int trie_size = std::distance(trie.nodes_begin(), trie.nodes_end()); *verbose_stream << program_invocation_name << ": Done reading blocks, trie size is " << trie_size << std::endl; } // Read the location data from CSV if (verbose_stream) { *verbose_stream << program_invocation_name << ": Reading location CSV" << std::endl; } which_stage = STAGE_READING_LOCATIONS; csv_read_file(*this, cmdline.location_csv_file_name); // Optimize if (verbose_stream) { *verbose_stream << program_invocation_name << ": Optimizing" << std::endl; } trie.reorder_depth_first(); trie.reorder_in_blocks(1024); // Finalize offsets if (verbose_stream) { *verbose_stream << program_invocation_name << ": Linking location and block data" << std::endl; } writer.finalize_location_offsets(trie); // Write if (verbose_stream) { *verbose_stream << program_invocation_name << ": Writing output" << std::endl; } writer.write_trie(trie); writer.write_locations(); if (cmdline.database_info) writer.write_database_info(cmdline.database_info); writer.write_structure_info(trie); } /** Callback for receiving CSV data (see csv_read_file()). We use * this both for reading the location CSV and the block CSV; which * stage we're at is indicated by the which_stage variable. */ void city_db_impl::read_csv_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &csv_fields) { switch(which_stage) { case STAGE_READING_BLOCKS: read_block_line(csv_file_name, csv_line_number, csv_fields); break; case STAGE_READING_LOCATIONS: read_location_line(csv_file_name, csv_line_number, csv_fields); break; default: error(EX_SOFTWARE, 1, "Invalid which_stage value: %d", which_stage); } } /** Callback for reading one line of the block CSV. */ void city_db_impl::read_block_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &csv_fields) { if (csv_line_number == 1) return; // Assume this is copyright information and // skip doing anything to it if (csv_fields.size() != CSV_BLOCK_FIELDS) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Wrong number of fields"); return; } if (csv_line_number == 2) { // Assume this is header information -- we check it to // make sure we're looking at the right format of file. check_csv_header_token(csv_fields, CSV_BLOCK_FIELD_MIN_DECIMAL, "startIpNum", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_BLOCK_FIELD_MAX_DECIMAL, "endIpNum", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_BLOCK_FIELD_LOC, "locId", csv_file_name, csv_line_number); // Format checks out, we're now done with this line return; } const int loc_id = atoi(csv_fields[CSV_BLOCK_FIELD_LOC].c_str()); const binary_trie::edge_type leaf = 0x1000000 + loc_id; if (cmdline.address_family != AF_INET) { error(EX_SOFTWARE, 1, "IPv6 with city database is unimplemented."); } union { struct in_addr inet; uint8_t inetbytes[4]; } minaddr, maxaddr; if (inet_aton(csv_fields[CSV_BLOCK_FIELD_MIN_DECIMAL].c_str(), &(minaddr.inet)) == 0) { error_at_line(EX_DATAERR, 1, csv_file_name, csv_line_number, "Invalid min IP address"); } if (inet_aton(csv_fields[CSV_BLOCK_FIELD_MAX_DECIMAL].c_str(), &(maxaddr.inet)) == 0) { error_at_line(EX_DATAERR, 1, csv_file_name, csv_line_number, "Invalid max IP address"); } writer.notify_need_location(loc_id); trie.set_range(minaddr.inetbytes, maxaddr.inetbytes, 32, leaf); } /** Callback for reading one line of the location CSV. */ void city_db_impl::read_location_line(const char *csv_file_name, int csv_line_number, std::vector<std::string> &csv_fields) { if (csv_line_number == 1) return; // Assume this is copyright information and // skip it entirely if (csv_fields.size() != CSV_LOCATION_FIELDS) { error_at_line(EX_DATAERR, 0, csv_file_name, csv_line_number, "Wrong number of fields"); return; } if (csv_line_number == 2) { // Assume this is header information -- we check it to // make sure we're looking at the right format of file. check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_ID, "locId", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_COUNTRY, "country", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_REGION, "region", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_CITY, "city", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_POSTALCODE, "postalCode", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_LATITUDE, "latitude", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_LONGITUDE, "longitude", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_METROCODE, "metroCode", csv_file_name, csv_line_number); check_csv_header_token(csv_fields, CSV_LOCATION_FIELD_AREACODE, "areaCode", csv_file_name, csv_line_number); // Format checks out, we're now done with this line return; } writer.serialize_location_info(csv_fields, csv_file_name, csv_line_number); } void city_db_impl::check_csv_header_token(std::vector<std::string> &tokens, int token_number, const char *token_expected, const char *csv_file_name, int csv_line_number) { if (tokens[token_number] != token_expected) { error_at_line(EX_DATAERR, 1, csv_file_name, csv_line_number, "Incorrect format: field %d is \"%s\", but we expected \"%s\"", token_number, tokens[token_number].c_str(), token_expected); } } /************************************************* * Main program * * This is the entry point. *************************************************/ int main(int argc, char **argv) { cmdline cmdline(argc, argv); std::ostream *verbose_stream; if (!cmdline.verbose) verbose_stream = NULL; else if (strcmp(cmdline.dat_file_name, "-") == 0) verbose_stream = &std::cerr; else verbose_stream = &std::cout; switch(cmdline.database_type) { case GEOIP_COUNTRY_EDITION: case GEOIP_COUNTRY_EDITION_V6: { country_db_impl country_db(cmdline); country_db.convert_db(verbose_stream); break; } case GEOIP_CITY_EDITION_REV1: { city_db_impl city_db(cmdline); city_db.convert_db(verbose_stream); break; } } if (verbose_stream) { *verbose_stream << program_invocation_name << ": All done" << std::endl; } return 0; }
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