Current File : //proc/self/root/proc/self/root/opt/alt/hyperscan54/share/doc/hyperscan/examples/patbench.cc
/*
* Copyright (c) 2015-2017, Intel Corporation
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of Intel Corporation nor the names of its contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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*/
/*
* Hyperscan pattern benchmarker.
*
* This program allows users to detect which signatures may be the most
* expensive in a set of patterns. It is designed for use with small to medium
* pattern set sizes (e.g. 5-500). If used with very large pattern sets it may
* take a very long time - the number of recompiles done is g * O(lg2(n)) where
* g is the number of generations and n is the number of patterns (assuming
* that n >> g).
*
* This utility will return a cumulative series of removed patterns. The first
* generation will find and remove a single pattern. The second generation will
* begin with the first pattern removed and find another pattern to remove,
* etc. So if we have 100 patterns and 15 generations, the final generation's
* score will be a run over 85 patterns.
*
* This utility is probabilistic. It is possible that the pattern removed in a
* generation is not a particularly expensive pattern. To reduce noise in the
* results use 'taskset' and set the number of repeats to a level that still
* completes in reasonable time (this will reduce the effect of random
* measurement noise).
*
* The criterion for performance can be altered by use of the -C<x> flag where
* <x> can be t,r,s,c,b, selecting pattern matching throughput, scratch size,
* stream state size (only available in streaming mode), compile time and
* bytecode size respectively.
*
* This utility will also not produce good results if all the patterns are
* roughly equally expensive.
*
* Factor Group Size:
*
* If there are multiple expensive patterns that are very similar on the
* left-hand-side or identical, this utility will typically not find these
* groups unless the -F flag is used to search for a group size that is equal
* to or larger than the size of the group of similar patterns.
*
* Otherwise, removing a portion of the similar patterns will have no or almost
* no effect, and the search procedure used relies on the ability to remove all
* of the similar patterns in at least one search case, something which will
* only happen if the factor_group_size is large enough.
*
* This alters the operation of our tool so that instead of trying to find the
* single pattern whose removal has the most effect by binary search (the
* default with factor_group_size == 1), we attempt to find the N patterns
* whose removal has the most effect by searching over N+1 evenly sized groups,
* removing only 1/(N+1) of the search signatures per iteration.
*
* Note that the number of recompiles done greatly increases with increased
* factor group size. For example, with factor_group_size = 1, we do g * 2 *
* lg2(n) recompiles, while with factor_group_size = 4, we do g * 4 *
* log(5/4)(n). Informally the number of generations we require goes up as we
* eliminate a smaller number of signatures and the we have to do more work per
* generation.
*
*
* Build instructions:
*
* g++ -o patbench patbench.cc $(pkg-config --cflags --libs libhs) -lpcap
*
* Usage:
*
* ./patbench [ -n repeats] [ -G generations] [ -C criterion ]
* [ -F factor_group_size ] [ -N | -S ] <pattern file> <pcap file>
*
* -n repeats sets the number of times the PCAP is repeatedly scanned
* with the pattern
* -G generations sets the number of generations that the algorithm is
* run for
* -N sets non-streaming mode, -S sets streaming mode (default)
* -F sets the factor group size (must be >0); this allows the detection
* of multiple interacting factors
*
* -C sets the "criterion", which can be either:
* t throughput (the default) - this requires a pcap file
* r scratch size
* s stream state size
* c compile time
* b bytecode size
*
* We recommend the use of a utility like 'taskset' on multiprocessor hosts to
* lock execution to a single processor: this will remove processor migration
* by the scheduler as a source of noise in the results.
*
*/
#include <algorithm>
#include <cstring>
#include <chrono>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <set>
#include <string>
#include <vector>
#include <unordered_map>
#include <unistd.h>
// We use the BSD primitives throughout as they exist on both BSD and Linux.
#define __FAVOR_BSD
#include <netinet/in.h>
#include <netinet/in_systm.h>
#include <netinet/ip.h>
#include <netinet/tcp.h>
#include <netinet/udp.h>
#include <netinet/ip_icmp.h>
#include <net/ethernet.h>
#include <arpa/inet.h>
#include <pcap.h>
#include <hs.h>
using std::cerr;
using std::cout;
using std::endl;
using std::ifstream;
using std::string;
using std::unordered_map;
using std::vector;
using std::set;
using std::min;
using std::max;
using std::copy;
enum Criterion {
CRITERION_THROUGHPUT,
CRITERION_BYTECODE_SIZE,
CRITERION_COMPILE_TIME,
CRITERION_STREAM_STATE,
CRITERION_SCRATCH_SIZE
};
static bool higher_is_better(Criterion c) {
return c == CRITERION_THROUGHPUT;
}
static void print_criterion(Criterion c, double val) {
std::ios::fmtflags f(cout.flags());
switch (c) {
case CRITERION_THROUGHPUT:
cout << std::fixed << std::setprecision(3) << val << " Megabits/s";
break;
case CRITERION_COMPILE_TIME:
cout << std::fixed << std::setprecision(3) << val << " seconds";
break;
case CRITERION_BYTECODE_SIZE:
case CRITERION_STREAM_STATE:
case CRITERION_SCRATCH_SIZE:
default:
cout << static_cast<size_t>(val) << " bytes";
break;
}
cout.flags(f);
}
// Key for identifying a stream in our pcap input data, using data from its IP
// headers.
struct FiveTuple {
unsigned int protocol;
unsigned int srcAddr;
unsigned int srcPort;
unsigned int dstAddr;
unsigned int dstPort;
// Construct a FiveTuple from a TCP or UDP packet.
FiveTuple(const struct ip *iphdr) {
// IP fields
protocol = iphdr->ip_p;
srcAddr = iphdr->ip_src.s_addr;
dstAddr = iphdr->ip_dst.s_addr;
// UDP/TCP ports
const struct udphdr *uh = (const struct udphdr *)
(((const char *)iphdr) + (iphdr->ip_hl * 4));
srcPort = uh->uh_sport;
dstPort = uh->uh_dport;
}
bool operator==(const FiveTuple &a) const {
return protocol == a.protocol && srcAddr == a.srcAddr &&
srcPort == a.srcPort && dstAddr == a.dstAddr &&
dstPort == a.dstPort;
}
};
// A *very* simple hash function, used when we create an unordered_map of
// FiveTuple objects.
struct FiveTupleHash {
size_t operator()(const FiveTuple &x) const {
return x.srcAddr ^ x.dstAddr ^ x.protocol ^ x.srcPort ^ x.dstPort;
}
};
// Helper function. See end of file.
static bool payloadOffset(const unsigned char *pkt_data, unsigned int *offset,
unsigned int *length);
// Match event handler: called every time Hyperscan finds a match.
static
int onMatch(unsigned int id, unsigned long long from, unsigned long long to,
unsigned int flags, void *ctx) {
// Our context points to a size_t storing the match count
size_t *matches = (size_t *)ctx;
(*matches)++;
return 0; // continue matching
}
// Simple timing class
class Clock {
public:
void start() {
time_start = std::chrono::system_clock::now();
}
void stop() {
time_end = std::chrono::system_clock::now();
}
double seconds() const {
std::chrono::duration<double> delta = time_end - time_start;
return delta.count();
}
private:
std::chrono::time_point<std::chrono::system_clock> time_start, time_end;
};
// Class wrapping all state associated with the benchmark
class Benchmark {
private:
// Packet data to be scanned
vector<string> packets;
// Stream ID for each packet
vector<size_t> stream_ids;
// Map used to construct stream_ids
unordered_map<FiveTuple, size_t, FiveTupleHash> stream_map;
// Hyperscan compiled database
hs_database_t *db = nullptr;
// Hyperscan temporary scratch space
hs_scratch_t *scratch = nullptr;
// Vector of Hyperscan stream state
vector<hs_stream_t *> streams;
// Count of matches found while scanning
size_t matchCount = 0;
public:
~Benchmark() {
hs_free_scratch(scratch);
hs_free_database(db);
}
// Initialisation; after this call, Benchmark owns the database and will
// ensure it is freed.
void setDatabase(hs_database_t *hs_db) {
hs_free_database(db); // Free previous database.
db = hs_db;
// (Re)allocate scratch to ensure that it is large enough to handle the
// database.
hs_error_t err = hs_alloc_scratch(db, &scratch);
if (err != HS_SUCCESS) {
cerr << "ERROR: could not allocate scratch space. Exiting." << endl;
exit(-1);
}
}
const hs_database_t *getDatabase() const {
return db;
}
size_t getScratchSize() const {
size_t scratch_size;
hs_error_t err = hs_scratch_size(scratch, &scratch_size);
if (err != HS_SUCCESS) {
cerr << "ERROR: could not query scratch space size. Exiting."
<< endl;
exit(-1);
}
return scratch_size;
}
// Read a set of streams from a pcap file
bool readStreams(const char *pcapFile) {
// Open PCAP file for input
char errbuf[PCAP_ERRBUF_SIZE];
pcap_t *pcapHandle = pcap_open_offline(pcapFile, errbuf);
if (pcapHandle == nullptr) {
cerr << "ERROR: Unable to open pcap file \"" << pcapFile
<< "\": " << errbuf << endl;
return false;
}
struct pcap_pkthdr pktHeader;
const unsigned char *pktData;
while ((pktData = pcap_next(pcapHandle, &pktHeader)) != nullptr) {
unsigned int offset = 0, length = 0;
if (!payloadOffset(pktData, &offset, &length)) {
continue;
}
// Valid TCP or UDP packet
const struct ip *iphdr = (const struct ip *)(pktData
+ sizeof(struct ether_header));
const char *payload = (const char *)pktData + offset;
size_t id = stream_map.insert(std::make_pair(FiveTuple(iphdr),
stream_map.size())).first->second;
packets.push_back(string(payload, length));
stream_ids.push_back(id);
}
pcap_close(pcapHandle);
return !packets.empty();
}
// Return the number of bytes scanned
size_t bytes() const {
size_t sum = 0;
for (const auto &packet : packets) {
sum += packet.size();
}
return sum;
}
// Return the number of matches found.
size_t matches() const {
return matchCount;
}
// Clear the number of matches found.
void clearMatches() {
matchCount = 0;
}
// Open a Hyperscan stream for each stream in stream_ids
void openStreams() {
streams.resize(stream_map.size());
for (auto &stream : streams) {
hs_error_t err = hs_open_stream(db, 0, &stream);
if (err != HS_SUCCESS) {
cerr << "ERROR: Unable to open stream. Exiting." << endl;
exit(-1);
}
}
}
// Close all open Hyperscan streams (potentially generating any
// end-anchored matches)
void closeStreams() {
for (auto &stream : streams) {
hs_error_t err =
hs_close_stream(stream, scratch, onMatch, &matchCount);
if (err != HS_SUCCESS) {
cerr << "ERROR: Unable to close stream. Exiting." << endl;
exit(-1);
}
}
}
// Scan each packet (in the ordering given in the PCAP file) through
// Hyperscan using the streaming interface.
void scanStreams() {
for (size_t i = 0; i != packets.size(); ++i) {
const std::string &pkt = packets[i];
hs_error_t err = hs_scan_stream(streams[stream_ids[i]],
pkt.c_str(), pkt.length(), 0,
scratch, onMatch, &matchCount);
if (err != HS_SUCCESS) {
cerr << "ERROR: Unable to scan packet. Exiting." << endl;
exit(-1);
}
}
}
// Scan each packet (in the ordering given in the PCAP file) through
// Hyperscan using the block-mode interface.
void scanBlock() {
for (size_t i = 0; i != packets.size(); ++i) {
const std::string &pkt = packets[i];
hs_error_t err = hs_scan(db, pkt.c_str(), pkt.length(), 0,
scratch, onMatch, &matchCount);
if (err != HS_SUCCESS) {
cerr << "ERROR: Unable to scan packet. Exiting." << endl;
exit(-1);
}
}
}
};
// helper function - see end of file
static void parseFile(const char *filename, vector<string> &patterns,
vector<unsigned> &flags, vector<unsigned> &ids,
vector<string> &originals);
class Sigdata {
vector<unsigned> flags;
vector<unsigned> ids;
vector<string> patterns;
vector<string> originals;
public:
Sigdata() {}
Sigdata(const char *filename) {
parseFile(filename, patterns, flags, ids, originals);
}
const string &get_original(unsigned index) const {
return originals[index];
}
hs_database_t *compileDatabase(unsigned mode, double *compileTime) const {
hs_database_t *db = nullptr;
hs_compile_error_t *compileErr;
// Turn our vector of strings into a vector of char*'s to pass in to
// hs_compile_multi. (This is just using the vector of strings as
// dynamic storage.)
vector<const char *> cstrPatterns;
cstrPatterns.reserve(patterns.size());
for (const auto &pattern : patterns) {
cstrPatterns.push_back(pattern.c_str());
}
Clock clock;
clock.start();
hs_error_t err = hs_compile_multi(cstrPatterns.data(), flags.data(),
ids.data(), cstrPatterns.size(), mode,
nullptr, &db, &compileErr);
clock.stop();
if (err != HS_SUCCESS) {
if (compileErr->expression < 0) {
// The error does not refer to a particular expression.
cerr << "ERROR: " << compileErr->message << endl;
} else {
cerr << "ERROR: Pattern '"
<< patterns[compileErr->expression]
<< "' failed with error '" << compileErr->message << "'"
<< endl;
}
// As the compileErr pointer points to dynamically allocated memory,
// if we get an error, we must be sure to release it. This is not
// necessary when no error is detected.
hs_free_compile_error(compileErr);
exit(-1);
}
*compileTime = clock.seconds();
return db;
}
unsigned size() const {
return patterns.size();
}
Sigdata cloneExclude(const set<unsigned> &excludeIndexSet) const {
Sigdata c;
for (unsigned i = 0, e = size(); i != e; ++i) {
if (excludeIndexSet.find(i) == excludeIndexSet.end()) {
c.flags.push_back(flags[i]);
c.ids.push_back(ids[i]);
c.patterns.push_back(patterns[i]);
c.originals.push_back(originals[i]);
}
}
return c;
}
};
static
void usage(const char *) {
cerr << "Usage:" << endl << endl;
cerr << " patbench [-n repeats] [ -G generations] [ -C criterion ]" << endl
<< " [ -F factor_group_size ] [ -N | -S ] "
<< "<pattern file> <pcap file>" << endl << endl
<< " -n repeats sets the number of times the PCAP is repeatedly "
"scanned" << endl << " with the pattern." << endl
<< " -G generations sets the number of generations that the "
"algorithm is" << endl << " run for." << endl
<< " -N sets non-streaming mode, -S sets streaming mode (default)."
<< endl << " -F sets the factor group size (must be >0); this "
"allows the detection" << endl
<< " of multiple interacting factors." << endl << "" << endl
<< " -C sets the 'criterion', which can be either:" << endl
<< " t throughput (the default) - this requires a pcap file"
<< endl << " r scratch size" << endl
<< " s stream state size" << endl
<< " c compile time" << endl << " b bytecode size"
<< endl << endl
<< "We recommend the use of a utility like 'taskset' on "
"multiprocessor hosts to" << endl
<< "lock execution to a single processor: this will remove processor "
"migration" << endl
<< "by the scheduler as a source of noise in the results." << endl;
}
static
double measure_stream_time(Benchmark &bench, unsigned int repeatCount) {
Clock clock;
bench.clearMatches();
clock.start();
for (unsigned int i = 0; i < repeatCount; i++) {
bench.openStreams();
bench.scanStreams();
bench.closeStreams();
}
clock.stop();
double secsScan = clock.seconds();
return secsScan;
}
static
double measure_block_time(Benchmark &bench, unsigned int repeatCount) {
Clock clock;
bench.clearMatches();
clock.start();
for (unsigned int i = 0; i < repeatCount; i++) {
bench.scanBlock();
}
clock.stop();
double secsScan = clock.seconds();
return secsScan;
}
static
double eval_set(Benchmark &bench, Sigdata &sigs, unsigned int mode,
unsigned repeatCount, Criterion criterion,
bool diagnose = true) {
double compileTime = 0;
bench.setDatabase(sigs.compileDatabase(mode, &compileTime));
switch (criterion) {
case CRITERION_BYTECODE_SIZE: {
size_t dbSize;
hs_error_t err = hs_database_size(bench.getDatabase(), &dbSize);
if (err != HS_SUCCESS) {
cerr << "ERROR: could not retrieve bytecode size" << endl;
exit(1);
}
return dbSize;
}
case CRITERION_COMPILE_TIME:
return compileTime;
case CRITERION_STREAM_STATE: {
size_t streamStateSize;
hs_error_t err = hs_stream_size(bench.getDatabase(), &streamStateSize);
if (err != HS_SUCCESS) {
cerr << "ERROR: could not retrieve stream state size" << endl;
exit(1);
}
return streamStateSize;
}
case CRITERION_SCRATCH_SIZE:
return bench.getScratchSize();
case CRITERION_THROUGHPUT:
default:
break; // do nothing - we are THROUGHPUT
}
double scan_time;
if (mode == HS_MODE_NOSTREAM) {
scan_time = measure_block_time(bench, repeatCount);
} else {
scan_time = measure_stream_time(bench, repeatCount);
}
size_t bytes = bench.bytes();
size_t matches = bench.matches();
if (diagnose) {
std::ios::fmtflags f(cout.flags());
cout << "Scan time " << std::fixed << std::setprecision(3) << scan_time
<< " sec, Scanned " << bytes * repeatCount << " bytes, Throughput "
<< std::fixed << std::setprecision(3)
<< (bytes * 8 * repeatCount) / (scan_time * 1000000)
<< " Mbps, Matches " << matches << endl;
cout.flags(f);
}
return (bytes * 8 * repeatCount) / (scan_time * 1000000);
}
// Main entry point.
int main(int argc, char **argv) {
unsigned int repeatCount = 1;
unsigned int mode = HS_MODE_STREAM;
Criterion criterion = CRITERION_THROUGHPUT;
unsigned int gen_max = 10;
unsigned int factor_max = 1;
// Process command line arguments.
int opt;
while ((opt = getopt(argc, argv, "SNn:G:F:C:")) != -1) {
switch (opt) {
case 'F':
factor_max = atoi(optarg);
break;
case 'G':
gen_max = atoi(optarg);
break;
case 'S':
mode = HS_MODE_STREAM;
break;
case 'N':
mode = HS_MODE_NOSTREAM;
break;
case 'C':
switch (optarg[0]) {
case 't':
criterion = CRITERION_THROUGHPUT;
break;
case 'b':
criterion = CRITERION_BYTECODE_SIZE;
break;
case 'c':
criterion = CRITERION_COMPILE_TIME;
break;
case 's':
criterion = CRITERION_STREAM_STATE;
break;
case 'r':
criterion = CRITERION_SCRATCH_SIZE;
break;
default:
cerr << "Unrecognised criterion: " << optarg[0] << endl;
usage(argv[0]);
exit(-1);
}
break;
case 'n':
repeatCount = atoi(optarg);
break;
default:
usage(argv[0]);
exit(-1);
}
}
if (argc - optind != ((criterion == CRITERION_THROUGHPUT) ? 2 : 1)) {
usage(argv[0]);
exit(-1);
}
const char *patternFile = argv[optind];
const char *pcapFile = argv[optind + 1];
// Read our input PCAP file in
Benchmark bench;
if (criterion == CRITERION_THROUGHPUT) {
if (!bench.readStreams(pcapFile)) {
cerr << "Unable to read packets from PCAP file. Exiting." << endl;
exit(-1);
}
}
if ((criterion == CRITERION_STREAM_STATE) && (mode != HS_MODE_STREAM)) {
cerr << "Cannot evaluate stream state for block mode compile. Exiting."
<< endl;
exit(-1);
}
cout << "Base signatures: " << patternFile;
if (pcapFile) {
cout << "\tPCAP input file: " << pcapFile
<< "\tRepeat count: " << repeatCount;
}
if (mode == HS_MODE_STREAM) {
cout << "\tMode: streaming";
} else {
cout << "\tMode: block";
}
cout << endl;
Sigdata sigs(patternFile);
// calculate and show a baseline
eval_set(bench, sigs, mode, repeatCount, criterion);
set<unsigned> work_sigs, exclude;
for (unsigned i = 0; i < sigs.size(); ++i) {
work_sigs.insert(i);
}
double score_base =
eval_set(bench, sigs, mode, repeatCount, criterion, false);
bool maximize = higher_is_better(criterion);
cout << "Number of signatures: " << sigs.size() << endl;
cout << "Base performance: ";
print_criterion(criterion, score_base);
cout << endl;
unsigned generations = min(gen_max, (sigs.size() - 1) / factor_max);
cout << "Cutting signatures cumulatively for " << generations
<< " generations" << endl;
for (unsigned gen = 0; gen < generations; ++gen) {
cout << "Generation " << gen << " ";
set<unsigned> s(work_sigs.begin(), work_sigs.end());
double best = maximize ? 0 : 1000000000000.0;
unsigned count = 0;
while (s.size() > factor_max) {
count++;
cout << "." << std::flush;
vector<unsigned> sv(s.begin(), s.end());
random_shuffle(sv.begin(), sv.end());
unsigned groups = factor_max + 1;
for (unsigned current_group = 0; current_group < groups;
current_group++) {
unsigned sz = sv.size();
unsigned lo = (current_group * sz) / groups;
unsigned hi = ((current_group + 1) * sz) / groups;
set<unsigned> s_part1(sv.begin(), sv.begin() + lo);
set<unsigned> s_part2(sv.begin() + hi, sv.end());
set<unsigned> s_tmp = s_part1;
s_tmp.insert(s_part2.begin(), s_part2.end());
set<unsigned> tmp = s_tmp;
tmp.insert(exclude.begin(), exclude.end());
Sigdata sigs_tmp = sigs.cloneExclude(tmp);
double score = eval_set(bench, sigs_tmp, mode, repeatCount,
criterion, false);
if ((current_group == 0) ||
(!maximize ? (score < best) : (score > best))) {
s = s_tmp;
best = score;
}
}
}
for (unsigned i = count; i < 16; i++) {
cout << " ";
}
std::ios::fmtflags out_f(cout.flags());
cout << "Performance: ";
print_criterion(criterion, best);
cout << " (" << std::fixed << std::setprecision(3) << (best / score_base)
<< "x) after cutting:" << endl;
cout.flags(out_f);
// s now has factor_max signatures
for (const auto &found : s) {
exclude.insert(found);
work_sigs.erase(found);
cout << sigs.get_original(found) << endl;
}
cout << endl;
}
return 0;
}
/**
* Helper function to locate the offset of the first byte of the payload in the
* given ethernet frame. Offset into the packet, and the length of the payload
* are returned in the arguments @a offset and @a length.
*/
static
bool payloadOffset(const unsigned char *pkt_data, unsigned int *offset,
unsigned int *length) {
const ip *iph = (const ip *)(pkt_data + sizeof(ether_header));
const tcphdr *th = nullptr;
// Ignore packets that aren't IPv4
if (iph->ip_v != 4) {
return false;
}
// Ignore fragmented packets.
if (iph->ip_off & htons(IP_MF | IP_OFFMASK)) {
return false;
}
// IP header length, and transport header length.
unsigned int ihlen = iph->ip_hl * 4;
unsigned int thlen = 0;
switch (iph->ip_p) {
case IPPROTO_TCP:
th = (const tcphdr *)((const char *)iph + ihlen);
thlen = th->th_off * 4;
break;
case IPPROTO_UDP:
thlen = sizeof(udphdr);
break;
default:
return false;
}
*offset = sizeof(ether_header) + ihlen + thlen;
*length = sizeof(ether_header) + ntohs(iph->ip_len) - *offset;
return *length != 0;
}
static unsigned parseFlags(const string &flagsStr) {
unsigned flags = 0;
for (const auto &c : flagsStr) {
switch (c) {
case 'i':
flags |= HS_FLAG_CASELESS; break;
case 'm':
flags |= HS_FLAG_MULTILINE; break;
case 's':
flags |= HS_FLAG_DOTALL; break;
case 'H':
flags |= HS_FLAG_SINGLEMATCH; break;
case 'V':
flags |= HS_FLAG_ALLOWEMPTY; break;
case '8':
flags |= HS_FLAG_UTF8; break;
case 'W':
flags |= HS_FLAG_UCP; break;
case '\r': // stray carriage-return
break;
default:
cerr << "Unsupported flag \'" << c << "\'" << endl;
exit(-1);
}
}
return flags;
}
static void parseFile(const char *filename, vector<string> &patterns,
vector<unsigned> &flags, vector<unsigned> &ids,
vector<string> &originals) {
ifstream inFile(filename);
if (!inFile.good()) {
cerr << "ERROR: Can't open pattern file \"" << filename << "\"" << endl;
exit(-1);
}
for (unsigned i = 1; !inFile.eof(); ++i) {
string line;
getline(inFile, line);
// if line is empty, or a comment, we can skip it
if (line.empty() || line[0] == '#') {
continue;
}
// otherwise, it should be ID:PCRE, e.g.
// 10001:/foobar/is
size_t colonIdx = line.find_first_of(':');
if (colonIdx == string::npos) {
cerr << "ERROR: Could not parse line " << i << endl;
exit(-1);
}
// we should have an unsigned int as an ID, before the colon
unsigned id = std::stoi(line.substr(0, colonIdx).c_str());
// rest of the expression is the PCRE
const string expr(line.substr(colonIdx + 1));
size_t flagsStart = expr.find_last_of('/');
if (flagsStart == string::npos) {
cerr << "ERROR: no trailing '/' char" << endl;
exit(-1);
}
string pcre(expr.substr(1, flagsStart - 1));
string flagsStr(expr.substr(flagsStart + 1, expr.size() - flagsStart));
unsigned flag = parseFlags(flagsStr);
originals.push_back(line);
patterns.push_back(pcre);
flags.push_back(flag);
ids.push_back(id);
}
}
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