perin / mtool /main.py
Larisa Kolesnichenko
Add the original perin code
1d5604f
#!/usr/bin/env python3
# -*- coding: utf-8; -*-
import argparse;
import json;
import multiprocessing as mp;
import re;
import sys;
import time;
from pathlib import Path;
from zipfile import ZipFile;
import codec.amr;
import codec.conllu;
import codec.eds;
import codec.mrp;
import codec.norec;
import codec.pmb;
import codec.sdp;
import codec.treex;
import codec.ucca;
import inspector;
import score.edm;
import score.mces;
import score.sdp;
import score.smatch;
import score.ucca;
import validate.core;
from analyzer import analyze;
__author__ = "oe"
ENCODING = "utf-8";
NORMALIZATIONS = {"anchors", "case", "edges", "attributes"};
VALIDATIONS = {"input", "anchors", "edges",
"amr", "eds", "sdp", "ucca"}
def read_graphs(stream, format = None,
full = False, normalize = False, reify = False, node_centric = False,
frameworks = None, prefix = None, text = None, filter = None,
trace = 0, strict = 0, quiet = False, robust = False,
alignment = None, anchors = None, pretty = False,
id = None, n = None, i = None):
name = getattr(stream, "name", "");
if name.endswith(".zip"):
with ZipFile(name) as zip:
stream = None;
for entry in zip.namelist():
if entry.endswith(".mrp"):
if stream is not None:
print("read_graphs(): multiple MRP entries in ‘{}’; exit."
"".format(name), file = sys.stderr);
sys.exit(1);
stream = zip.open(entry);
if stream is None:
print("read_graphs(): missing MRP entry in ‘{}’; exit."
"".format(name), file = sys.stderr);
sys.exit(1);
generator = None;
if format in {"amr", "camr"}:
generator \
= codec.amr.read(stream, full = full, reify = reify,
text = text, camr = format == "camr",
alignment = alignment, quiet = quiet, trace = trace);
elif format in {"ccd", "dm", "pas", "psd"}:
generator = codec.sdp.read(stream, framework = format, text = text);
elif format == "eds":
generator = codec.eds.read(stream, reify = reify, text = text);
elif format == "mrp":
generator = codec.mrp.read(stream, text = text, robust = robust);
elif format == "norec":
generator = codec.norec.read(stream, text = text, node_centric = node_centric);
elif format == "pmb":
generator = codec.pmb.read(stream, full = full,
reify = reify, text = text,
trace = trace, strict = strict);
elif format == "treex":
generator = codec.treex.read(stream)
elif format == "ucca":
generator = codec.ucca.read(stream, text = text, prefix = prefix);
elif format == "conllu" or format == "ud":
generator = codec.conllu.read(stream, framework = format, text = text,
anchors = anchors, trace = trace);
elif format == "eud":
generator = codec.conllu.read(stream, framework = format, text = text,
anchors = anchors, trace = trace,
enhanced_graph = True);
else:
print("read_graphs(): invalid input codec {}; exit."
"".format(format), file = sys.stderr);
sys.exit(1);
if generator is None:
return None, None;
#
# (for now) break out of the generators, for downstream simplicity
#
graphs = [];
overlays = [];
j = 0;
while n is None or n < 1 or j < n:
try:
graph, overlay = next(generator);
if frameworks is not None and graph.framework not in frameworks: continue;
if filter is not None and graph.id not in filter: continue;
if id is not None:
if graph.id == id:
graphs.append(graph); overlays.append(overlay);
elif i is not None and i >= 0:
if j == i:
graphs.append(graph); overlays.append(overlay);
break;
else:
graphs.append(graph); overlays.append(overlay);
j += 1;
except StopIteration:
break;
except Exception as error:
print(error, file = sys.stderr);
pass;
if pretty:
for graph in graphs: graph.prettify(trace);
if normalize:
for graph in graphs: graph.normalize(normalize, trace);
return graphs, overlays;
def main(args=None):
parser = argparse.ArgumentParser(description = "MRP Graph Toolkit");
parser.add_argument("--inspect", action = "store_true");
parser.add_argument("--analyze", action = "store_true");
parser.add_argument("--normalize", action = "append", default = []);
parser.add_argument("--full", action = "store_true");
parser.add_argument("--reify", action = "store_true");
parser.add_argument("--node_centric", action = "store_true");
parser.add_argument("--unique", action = "store_true");
parser.add_argument("--ids", action = "store_true");
parser.add_argument("--strings", action = "store_true");
parser.add_argument("--framework", action = "append", default = []);
parser.add_argument("--gold",
type = argparse.FileType("r", encoding = ENCODING));
parser.add_argument("--alignment",
type = argparse.FileType("r", encoding = ENCODING));
parser.add_argument("--overlay",
type = argparse.FileType("w", encoding = ENCODING));
parser.add_argument("--format");
parser.add_argument("--score");
parser.add_argument("--validate", action = "append", default = []);
parser.add_argument("--limit");
parser.add_argument("--read", required = True);
parser.add_argument("--write");
parser.add_argument("--text");
parser.add_argument("--inverse", action = "store_true");
parser.add_argument("--anchors",
type = argparse.FileType("r", encoding = ENCODING));
parser.add_argument("--prefix");
parser.add_argument("--source");
parser.add_argument("--targets");
parser.add_argument("--pretty", action = "store_true");
parser.add_argument("--inject");
parser.add_argument("--version", type = float, default = 1.1);
parser.add_argument("--cores", type = int, default = 1);
parser.add_argument("--i", type = int);
parser.add_argument("--n", type = int);
parser.add_argument("--id");
parser.add_argument("--filter");
parser.add_argument("--quiet", action = "store_true");
parser.add_argument("--robust", action = "store_true");
parser.add_argument("--trace", "-t", action = "count", default = 0);
parser.add_argument("--strict", action = "count", default = 0);
parser.add_argument("--errors",
type = argparse.FileType("w", encoding = ENCODING));
parser.add_argument("input", nargs = "?",
type = argparse.FileType("r", encoding = ENCODING),
default = sys.stdin);
parser.add_argument("output", nargs = "?",
type = argparse.FileType("w", encoding = ENCODING),
default = sys.stdout);
if args is None:
args = sys.argv
arguments = parser.parse_args(args);
text = None;
if arguments.text is not None:
path = Path(arguments.text);
if path.is_file():
text = {};
with path.open() as stream:
for line in stream:
id, string = line.split("\t", maxsplit = 1);
if string.endswith("\n"): string = string[:len(string) - 1];
if arguments.inverse: text[string] = id;
else: text[id] = string;
elif path.is_dir():
text = path;
elif arguments.inverse:
print("main.py(): option ‘--inverse’ requires ‘--text’; exit.",
file = sys.stderr);
sys.exit(1);
if arguments.read not in {"mrp",
"ccd", "dm", "pas", "psd", "treex",
"eds", "ucca",
"amr", "camr", "pmb",
"conllu", "ud", "eud",
"norec"}:
print("main.py(): invalid input format: {}; exit."
"".format(arguments.read), file = sys.stderr);
sys.exit(1);
filter = None;
if arguments.filter is not None:
try:
path = Path(arguments.filter);
filter = set();
with path.open() as stream:
for line in stream:
filter.add(line.split("\t", maxsplit = 1)[0]);
except:
print("main.py(): invalid ‘--filter’: {}; exit."
"".format(arguments.write), file = sys.stderr);
sys.exit(1);
if filter is not None and len(filter) == 0: filter = None;
if arguments.write is not None and \
arguments.write not in \
{"dot", "tikz", "displacy", "evaluation", "id", "json", "mrp",
"source", "targets", "txt", "ucca", "norec"}:
print("main.py(): invalid output format: {}; exit."
"".format(arguments.write), file = sys.stderr);
sys.exit(1);
#
# backwards compatibility: desirable until august 2019, say
#
if arguments.score == "mces": arguments.score = "mrp";
if arguments.score is not None and \
arguments.score not in {"mrp", "sdp", "edm", "ucca", "smatch"}:
print("main.py(): invalid evaluation metric: {}; exit."
"".format(arguments.score), file = sys.stderr);
sys.exit(1);
if arguments.format and \
arguments.format not in {"mrp",
"ccd", "dm", "pas", "psd",
"eds", "ucca",
"amr", "camr", "pmb",
"conllu", "ud", "eud"}:
print("main.py(): invalid gold format: {}; exit."
"".format(arguments.read), file = sys.stderr);
sys.exit(1);
if len(arguments.normalize) == 1 and arguments.normalize[0] == "all":
normalize = NORMALIZATIONS;
else:
normalize = set();
for action in arguments.normalize:
if action in NORMALIZATIONS:
normalize.add(action);
else:
print("main.py(): invalid type of normalization: {}; exit."
"".format(action), file = sys.stderr);
sys.exit(1);
if arguments.score is not None and len(normalize) == 0:
normalize = NORMALIZATIONS;
if arguments.targets == "gather" and not arguments.unique:
print("main.py(): option ‘--targets gather’ requires ‘--unique’; exit.",
file = sys.stderr);
sys.exit(1);
if arguments.alignment is not None and arguments.overlay is None:
print("main.py(): option ‘--alignment’ requires ‘--overlay’; exit.",
file = sys.stderr);
sys.exit(1);
if len(arguments.framework) == 0: arguments.framework = None;
if arguments.cores == 0: arguments.cores = mp.cpu_count();
graphs, overlays \
= read_graphs(arguments.input, format = arguments.read,
full = arguments.full, normalize = normalize,
reify = arguments.reify, frameworks = arguments.framework,
text = text, filter = filter, alignment = arguments.alignment,
anchors = arguments.anchors, pretty = arguments.pretty,
trace = arguments.trace, strict = arguments.strict, node_centric = arguments.node_centric,
quiet = arguments.quiet, robust = arguments.robust,
id = arguments.id, n = arguments.n, i = arguments.i);
if graphs is None:
print("main.py(): unable to read input graphs: {}; exit."
"".format(arguments.input.name), file = sys.stderr);
sys.exit(1);
if arguments.unique:
targets = dict();
if arguments.targets == "gather":
for graph in graphs:
if graph.id in targets: targets[graph.id].add(graph.framework);
else: targets[graph.id] = {graph.framework};
arguments.targets = None;
unique = list();
ids = set();
for graph in graphs:
id = graph.id;
if id in targets: graph.targets(list(targets[id]));
if id not in ids:
ids.add(id);
unique.append(graph);
graphs = unique;
#
# inject any additional information provided on the command line
#
if arguments.source:
for graph in graphs: graph.source(arguments.source);
if arguments.inject:
for graph in graphs: graph.inject(arguments.inject);
if arguments.validate == ["all"]:
actions = VALIDATIONS;
else:
actions = set();
for action in arguments.validate:
if action in VALIDATIONS:
actions.add(action);
else:
print("main.py(): invalid type of validation: {}; exit."
"".format(action), file = sys.stderr);
sys.exit(1);
if arguments.quiet: arguments.trace = 0;
if actions:
for graph in graphs:
validate.core.test(graph, actions, stream = sys.stderr);
if arguments.analyze:
analyze(graphs);
gold = None;
if arguments.gold and arguments.score or arguments.inspect:
if arguments.format is None: arguments.format = arguments.read;
gold, _ = read_graphs(arguments.gold, format = arguments.format,
full = arguments.full, normalize = normalize,
reify = arguments.reify, node_centric = arguments.node_centric,
frameworks = arguments.framework,
text = text, filter = filter,
trace = arguments.trace, quiet = arguments.quiet,
robust = arguments.robust,
id = arguments.id, n = arguments.n, i = arguments.i);
if gold is None:
print("main.py(): unable to read gold graphs: {}; exit."
"".format(arguments.gold.name), file = sys.stderr);
sys.exit(1);
if arguments.inspect:
result = inspector.summarize(graphs, gold);
if arguments.write == "json" or True:
json.dump(result, arguments.output, indent = None);
print(file = arguments.output);
sys.exit(0);
if arguments.score:
limits = {"rrhc": None, "mces": None};
for metric in arguments.score.split(","):
if arguments.limit is not None:
try:
match = re.search(r"([0-9]+):([0-9]+)", arguments.limit)
if match:
limits["rrhc"] = int(match.group(1));
limits["mces"] = int(match.group(2));
else:
if metric == "smatch":
limits["rrhc"] = int(arguments.limit);
else:
limits["mces"] = int(arguments.limit);
except:
print("main.py(): invalid ‘--limit’ {}; exit."
"".format(arguments.limit),
file = sys.stderr);
sys.exit(1);
errors = dict() if arguments.errors else None;
result = None;
launch = time.time(), time.process_time();
if metric == "edm":
result = score.edm.evaluate(gold, graphs,
format = arguments.write,
trace = arguments.trace);
elif metric == "mrp":
result = score.mces.evaluate(gold, graphs,
format = arguments.write,
limits = limits,
cores = arguments.cores,
trace = arguments.trace,
errors = errors,
quiet = arguments.quiet);
elif metric == "sdp":
result = score.sdp.evaluate(gold, graphs,
format = arguments.write,
trace = arguments.trace);
elif metric == "smatch":
result = score.smatch.evaluate(gold, graphs,
format = arguments.write,
limit = limits["rrhc"],
values = {"tops", "labels",
"properties", "anchors",
"edges", "attributes"},
trace = arguments.trace);
elif metric == "ucca":
result = score.ucca.evaluate(gold, graphs,
format = arguments.write,
trace = arguments.trace);
if result is not None:
result["time"] = time.time() - launch[0];
result["cpu"] = time.process_time() - launch[1];
if arguments.write == "json" or True:
#
# _fix_me_
# we should write a genuine custom JSON encoder
#
print("{", file = arguments.output, end = "");
start = True;
for key in result:
if start: start = False;
else: print(",\n ", file = arguments.output, end = "");
print("\"{}\": ".format(key), file = arguments.output, end = "");
json.dump(result[key], arguments.output, indent = None);
print("}", file = arguments.output);
if errors is not None:
if arguments.write == "dot":
for graph in gold:
graph.dot(arguments.errors,
ids = arguments.ids, strings = arguments.strings,
errors = errors[graph.framework][graph.id]);
elif arguments.write == "json" or True:
json.dump(errors, arguments.errors, indent = None);
sys.exit(0);
for graph in graphs:
if arguments.write in {"mrp", "evaluation"}:
if arguments.write == "evaluation":
graph.flavor = graph.framework = graph.nodes = graph.edges = None;
if arguments.targets is not None:
graph.targets(arguments.targets.split(","));
json.dump(graph.encode(arguments.version), arguments.output,
indent = None, ensure_ascii = False);
print(file = arguments.output);
elif arguments.write == "dot":
graph.dot(arguments.output,
ids = arguments.ids, strings = arguments.strings);
print(file = arguments.output);
elif arguments.write == "tikz":
graph.tikz(arguments.output);
elif arguments.write == "displacy":
graph.displacy(arguments.output);
elif arguments.write == "id":
print("{}".format(graph.id), file = arguments.output);
elif arguments.write == "source":
print("{}\t{}".format(graph.id, graph.source()), file = arguments.output);
elif arguments.write == "targets":
for target in graph.targets() or (""):
print("{}\t{}".format(graph.id, target), file = arguments.output);
elif arguments.write == "txt":
print("{}\t{}".format(graph.id, graph.input), file = arguments.output);
elif arguments.write == "ucca":
# Prints everything to one long file. To split to separate XML files, use, e.g.,
# csplit -zk output.xml '/^<root/' -f '' -b '%02d.xml' {99}
codec.ucca.write(graph, graph.input, file = arguments.output)
if arguments.write == "norec":
norec_graphs = [codec.norec.write(graph, graph.input, node_centric = arguments.node_centric) for graph in graphs]
json.dump(norec_graphs, arguments.output, indent=None)
if arguments.overlay:
for graph in overlays:
if graph:
json.dump(graph.encode(arguments.version), arguments.overlay,
indent = None, ensure_ascii = False);
print(file = arguments.overlay);
if __name__ == "__main__":
main();