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#include <cstdlib>
#include <cstdio>
#include <fstream>
#include <iomanip>
#include <libwccl/values/strset.h>
#include <libwccl/parser/Parser.h>
#include <libcorpus2/tagsetmanager.h>
#include <libcorpus2/util/tokentimer.h>
#include <boost/bind.hpp>
#include <boost/algorithm/string.hpp>
#include <boost/make_shared.hpp>
#include <boost/program_options.hpp>
#include <boost/filesystem.hpp>
#include <libcorpus2/io/xcesreader.h>
#include <boost/lexical_cast.hpp>
#include <antlr/NoViableAltException.hpp>
#include <antlr/MismatchedTokenException.hpp>
namespace {
bool quiet = false;
bool tabs = false;
bool output_orths = true;
bool output_variables = false;
bool global_numbering = false;
bool sentence_indices = true;
bool in_sentence_numbering = true;
}
class streamsave
public:
streamsave(std::ostream& os) : os_(os), flags_(os.flags()) {}
~streamsave() { os_.flags(flags_); }
private:
std::ostream& os_;
std::ios_base::fmtflags flags_;
};
class Runner
{
public:
Runner(const Corpus2::Tagset& tagset)
: tagset_(tagset), parser_(tagset_), token_idx(0), progress_(false),
search_path_("."), want_header_(true), aggregate_output_(false)
{
}
void use_progress(bool use) {
progress_ = use;
if (use) {
Corpus2::TokenTimer& timer = Corpus2::global_timer();
timer.register_signal_handler();
}
}
void set_aggregate_output(bool v) { aggregate_output_ = v; }
bool load_more_operators(const std::string &filename);
bool load_operator_string(const std::string &op_string);
size_t size() const {
return ops_.size() + (filter_op_ ? 1 : 0);
}
const std::vector< boost::shared_ptr<Wccl::FunctionalOperator> >& operators() const {
return ops_;
}
void do_sentence(const boost::shared_ptr<Corpus2::Sentence>& sentence,
std::vector< std::vector< UnicodeString > >& outputs, int sidx);
void run(boost::shared_ptr<Corpus2::TokenReader> , bool first);
void output_tabular(const std::vector< std::vector< UnicodeString > >& outputs);
void set_search_path(const std::string& path) {
search_path_ = path;
}
void set_filter_op(const std::string op_name, const std::string& op_value) {
filter_op_name_ = op_name;
filter_op_value_ = op_value;
}
private:
void do_operator_variables(const boost::shared_ptr<Wccl::FunctionalOperator>& op,
std::vector<UnicodeString>& out, bool variables);
const Corpus2::Tagset& tagset_;
Wccl::Parser parser_;
std::vector< boost::shared_ptr<Wccl::FunctionalOperator> > ops_;
boost::shared_ptr< Wccl::FunctionalOperator > filter_op_;
std::vector< std::string > op_names_;
int token_idx;
bool progress_;
std::string search_path_;
std::string filter_op_name_;
std::string filter_op_value_;
bool want_header_;
bool aggregate_output_;
};
bool Runner::load_more_operators(const std::string& filename)
{
try {
std::ifstream is(filename.c_str());
if (!is.good()) {
throw Wccl::FileNotFound(filename, "", __FUNCTION__);
}
retOp = parser_.parseWcclFile(is, search_path_);
if (retOp) {
boost::filesystem::path p(filename);
std::string prefix = ""; //p.stem() + ":";
Wccl::UntypedOpSequence::name_op_v_t pairs = retOp->gen_all_op_pairs();
foreach (const Wccl::UntypedOpSequence::name_op_pair_t v, pairs) {
std::string opname = v.first;
if (opname == filter_op_name_) {
filter_op_ = v.second;
} else {
op_names_.push_back(opname);
ops_.push_back(v.second);
}
} else {
std::cerr << "Problem while parsing -- "
<< "parser returned NULL!" << std::endl;
}
} catch (antlr::MismatchedTokenException &e) {
std::cerr << e.getFileLineColumnString()
<< " " << e.getMessage() << std::endl;
} catch(antlr::NoViableAltException &e) {
std::cerr << e.getFileLineColumnString()
<< " " << e.getMessage() << std::endl;
} catch (Wccl::InvalidVariableName &e) {
std::cerr << "Wccl::InvalidVariableName " << e.info() << std::endl;
} catch (Wccl::VariableTypeMismatch &e) {
std::cerr << "Wccl::VariableTypeMismatch " << e.info() << std::endl;
} catch (Wccl::WcclError& e) {
std::cerr << "Wccl::WcclError:" << e.info() << std::endl;
} catch (PwrNlp::PwrNlpError& e) {
std::cerr << "PwrNlp::PwrNlpError " << e.info() << std::endl;
} catch (antlr::ANTLRException& e) {
std::cerr << "Antlr error " << e.getMessage() << std::endl;
}
bool Runner::load_operator_string(const std::string& op_string)
{
boost::shared_ptr<Wccl::FunctionalOperator> retOp;
try {
retOp = parser_.parseAnyOperator(op_string);
if (retOp) {
op_names_.push_back(op_string);
ops_.push_back(retOp);
return true;
} else {
std::cerr << "Problem while parsing -- "
<< "parser returned NULL!" << std::endl;
}
} catch (PwrNlp::PwrNlpError& e) {
std::cerr << e.scope() << " error: " << e.info() << std::endl;
} catch (antlr::ANTLRException& e) {
std::cerr << "Antlr error " << e.getMessage() << std::endl;
}
return false;
}
void Runner::do_operator_variables(const boost::shared_ptr<Wccl::FunctionalOperator>& op,
std::vector<UnicodeString>& out, bool variables)
if (variables) {
foreach (const std::string& varname, op->valid_variable_names()) {
out.push_back((*op)[varname].to_string_u(tagset_));
}
}
}
void Runner::do_sentence(const boost::shared_ptr<Corpus2::Sentence>& sentence,
std::vector< std::vector< UnicodeString > >& outputs, int sidx)
{
Wccl::SentenceContext sc(sentence);
streamsave sv(std::cout);
if (output_header && want_header_) {
outputs.resize(outputs.size() + 1);
std::vector< UnicodeString >& out = outputs.back();
if (global_numbering) {
out.push_back(UnicodeString::fromUTF8("##"));
}
if (sentence_indices) {
out.push_back(UnicodeString::fromUTF8("S#"));
}
if (in_sentence_numbering) {
out.push_back(UnicodeString::fromUTF8("#"));
}
if (output_orths) {
out.push_back(UnicodeString::fromUTF8("orth"));
}
if (filter_op_) {
out.push_back(UnicodeString::fromUTF8(filter_op_name_));
if (output_variables) {
boost::shared_ptr<Wccl::FunctionalOperator> o = filter_op_;
foreach (const std::string& varname, o->valid_variable_names()) {
const Wccl::Value& value = (*o)[varname];
std::string label = "(" + filter_op_name_ + ")" + value.make_var_repr(varname);
out.push_back(UnicodeString::fromUTF8(label));
}
}
}
for (size_t i = 0; i < op_names_.size(); ++i) {
out.push_back(UnicodeString::fromUTF8(op_names_[i]));
if (output_variables) {
boost::shared_ptr<Wccl::FunctionalOperator> o = ops_[i];
foreach (const std::string& varname, o->valid_variable_names()) {
const Wccl::Value& value = (*o)[varname];
std::string label = "(" + op_names_[i] + ")" + value.make_var_repr(varname);
out.push_back(UnicodeString::fromUTF8(label));
}
}
}
}
for (size_t i = 0; i < sentence->size(); ++i) {
++token_idx;
sc.set_position(i);
UnicodeString vstr;
if (filter_op_) {
filter_op_->clean();
boost::shared_ptr<const Wccl::Value> v = filter_op_->base_apply(sc);
vstr = v->to_string_u(tagset_);
std::string uvstr = PwrNlp::to_utf8(vstr);
if (uvstr != filter_op_value_) {
continue;
} else {
}
}
outputs.resize(outputs.size() + 1);
std::vector< UnicodeString >& out = outputs.back();
if (global_numbering) {
out.push_back(UnicodeString::fromUTF8(boost::lexical_cast<std::string>(token_idx)));
}
if (sentence_indices) {
out.push_back(UnicodeString::fromUTF8(boost::lexical_cast<std::string>(sidx)));
}
if (in_sentence_numbering) {
out.push_back(UnicodeString::fromUTF8(boost::lexical_cast<std::string>(i + 1)));
}
if (output_orths) {
out.push_back(sentence->tokens()[i]->orth());
}
if (filter_op_) {
out.push_back(vstr);
do_operator_variables(filter_op_, out, output_variables);
}
foreach (const boost::shared_ptr<Wccl::FunctionalOperator>& o, ops_) {
o->clean();
boost::shared_ptr<const Wccl::Value> v = o->base_apply(sc);
UnicodeString vstr = v->to_string_u(tagset_);
out.push_back(vstr);
do_operator_variables(o, out, output_variables);
void Runner::output_tabular(const std::vector<std::vector<UnicodeString> >& outputs)
std::vector<int> lengths(outputs[0].size());
foreach (const std::vector< UnicodeString >& line, outputs) {
for (size_t i = 0; i < line.size(); ++i) {
lengths[i] = std::max(lengths[i], line[i].length());
}
}
foreach (const std::vector< UnicodeString >& line, outputs) {
if (!line.empty()) {
for (size_t i = 0; i < line.size() - 1; ++i) {
UnicodeString u = line[i];
if (tabs) {
std::cout << PwrNlp::to_utf8(line[i]) << "\t";
} else {
u.padTrailing(lengths[i] + 1);
std::cout << PwrNlp::to_utf8(u);
}
}
std::cout << PwrNlp::to_utf8(line.back());
}
std::cout << "\n";
}
}
void Runner::run(boost::shared_ptr<Corpus2::TokenReader> reader, bool first)
std::vector<std::vector<UnicodeString> > outputs;
Corpus2::Sentence::Ptr s;
Corpus2::TokenTimer& timer = Corpus2::global_timer();
int sidx = 0;
do_sentence(s, outputs, sidx++);
timer.count_sentence(*s);
if (aggregate_output_) {
want_header_ = false;
}
if (!outputs.empty() && (tabs ||!aggregate_output_)) {
output_tabular(outputs);
outputs.clear();
if (progress_) {
timer.check_slice();
}
if (!filter_op_) {
if (tabs || !aggregate_output_) {
std::cout << "\n";
} else {
outputs.resize(outputs.size() + 1);
}
if (first) break;
}
if (!outputs.empty()) {
output_tabular(outputs);
}
}
int main(int argc, char** argv)
{
std::string tagset_load = "kipi";
std::string filter_op_name, filter_op_value;
bool first = false, progress = false;
std::string search_path;
std::vector<std::string> corpora_files, files, operator_strings;
bool corpus_stdin = false;
bool aggregate = false;
using boost::program_options::value;
std::string readers = boost::algorithm::join(Corpus2::TokenReader::available_reader_types_help(), " ");
std::string readers_help = "Input format, any of: " + readers + "\n";
boost::program_options::options_description desc("Allowed options");
desc.add_options()
("tagset,t", value(&tagset_load),
("corpus,c", value(&corpora_files),
("ccl-operator,C", value(&operator_strings),
"CCL operator file or string")
("files,f", value(&files),
"Files to load, looking at the extension to determine type")
("search-path,P", value(&search_path),
"WCCL resources (lexicons) search path")
("input-path,I", value(&corpora_files)->composing(),
"Corpus paths, use '-' for stdin")
("quiet,q", value(&quiet)->zero_tokens(),
("input-format,i", value(&input_format)->default_value("xces"),
readers_help.c_str())
("first-sentence-only,1", value(&first)->zero_tokens(),
("tabs", value(&tabs)->zero_tokens(),
("local-counts,l", value(&in_sentence_numbering),
("global-counts,g", value(&global_numbering),
("output-sentence-indices,S", value(&sentence_indices),
"Output sentence indices")
("output-orths,O", value(&output_orths),
("output-variables,V", value(&output_variables),
"Output operator variables")
("output-header,H", value(&output_header),
"Output table header")
("filter-operator,F", value(&filter_op_name),
"Filter operator name")
("filter-value", value(&filter_op_value)->default_value("True"),
("aggregate-output,A", value(&aggregate),
"Aggregate output (prettier, slower)")
("progress,p", value(&progress)->zero_tokens(),
"Show progress info")
("help,h", "Show help")
;
boost::program_options::variables_map vm;
boost::program_options::positional_options_description p;
p.add("files", -1);
try {
boost::program_options::store(
boost::program_options::command_line_parser(argc, argv)
.options(desc).positional(p).run(), vm);
} catch (boost::program_options::error& e) {
std::cerr << e.what() << std::endl;
return 2;
}
boost::program_options::notify(vm);
if (vm.count("help")) {
std::cerr << "Usage " << argv[0] << " [OPTIONS] FILES\n"
<< "Files ending with .xml are treated as corpora, otherwise \n"
<< "as CCL files. Use - to read corpus from stdin (as with -I)\n"
<< "Files not ending with an extension are treated as raw operator strings\n";
std::cout << desc << "\n";
return 1;
}
foreach (const std::string& f, files) {
if (f == "-") {
corpus_stdin = true;
} else if (boost::algorithm::ends_with(f, ".xml")) {
corpora_files.push_back(f);
} else {
corpus_stdin = corpus_stdin || (corpora_files.end() != std::find(
corpora_files.begin(), corpora_files.end(), std::string("-")));
corpora_files.erase(std::remove(
corpora_files.begin(), corpora_files.end(), std::string("-")),
corpora_files.end());
if ((corpora_files.empty() && !corpus_stdin) || (operator_strings.empty() && !output_orths)) {
std::cerr << "Nothing to do, try " << argv[0] << " -h\n";
return 2;
}
try {
const Corpus2::Tagset& tagset = Corpus2::get_named_tagset(tagset_load);
Runner runner(tagset);
runner.use_progress(progress);
if (!search_path.empty()) {
runner.set_search_path(search_path);
}
if (!filter_op_name.empty()) {
runner.set_filter_op(filter_op_name, filter_op_value);
}
runner.set_aggregate_output(aggregate);
foreach (const std::string& f, operator_strings) {
if (boost::algorithm::ends_with(f, ".ccl")) {
size_t sz = runner.size();
if (!runner.load_more_operators(f)) {
std::cerr << "Warning: error while parsing " << f << "\n";
}
if (runner.size() == sz) {
std::cerr << "Warning: no operators loaded from " << f << "\n";
}
} else {
runner.load_operator_string(f);
if (runner.size() > 0) {
foreach (const std::string& f, corpora_files) {
runner.run(Corpus2::TokenReader::create_path_reader(
input_format, tagset, f), first);
}
if (corpus_stdin) {
runner.run(Corpus2::TokenReader::create_stream_reader(
input_format, tagset, std::cin), first);
if (progress) {
Corpus2::TokenTimer& timer = Corpus2::global_timer();
timer.stats();
}