File size: 4,050 Bytes
e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Command line for PyThaiNLP's dataset/corpus management.
"""
import argparse
from pythainlp import corpus
from pythainlp.tools import get_pythainlp_data_path
class App:
def __init__(self, argv):
parser = argparse.ArgumentParser(
prog="data",
description="Manage dataset/corpus.",
usage=(
"thainlp data <subcommand>\n\n"
"subcommands:\n\n"
"catalog show list of available datasets\n"
"info <dataset_name> show information about the dataset\n"
"get <dataset_name> download the dataset\n"
"rm <dataset_name> remove the dataset\n"
"path show full path to data directory\n\n"
"Example:\n\n"
"thainlp data get thai2fit_wv\n\n"
"Current data path:\n\n"
f"{get_pythainlp_data_path()}\n\n"
"To change PyThaiNLP data path, set the operating system's\n"
"PYTHAINLP_DATA_DIR environment variable.\n\n"
"For more information about corpora that PyThaiNLP use, see:\n"
"https://github.com/PyThaiNLP/pythainlp-corpus/\n\n"
"--"
),
)
parser.add_argument(
"subcommand",
type=str,
choices=["catalog", "info", "get", "rm", "path"],
help="action on dataset/corpus",
)
args = parser.parse_args(argv[2:3])
getattr(self, args.subcommand)(argv)
def get(self, argv):
parser = argparse.ArgumentParser(
description="Download a dataset",
usage="thainlp data get <dataset_name>",
)
parser.add_argument(
"dataset_name",
type=str,
help="dataset/corpus's name",
)
args = parser.parse_args(argv[3:])
if corpus.download(args.dataset_name):
print("Downloaded successfully.")
else:
print("Not found.")
def rm(self, argv):
parser = argparse.ArgumentParser(
description="Remove a dataset",
usage="thainlp data rm <dataset_name>",
)
parser.add_argument(
"dataset_name",
type=str,
help="dataset/corpus's name",
)
args = parser.parse_args(argv[3:])
if corpus.remove(args.dataset_name):
print("Removed successfully.")
else:
print("Not found.")
def info(self, argv):
parser = argparse.ArgumentParser(
description="Print information about a dataset",
usage="thainlp data info <dataset_name>",
)
parser.add_argument(
"dataset_name",
type=str,
help="dataset/corpus's name",
)
args = parser.parse_args(argv[3:])
info = corpus.get_corpus_db_detail(args.dataset_name)
if info:
print(info)
else:
print("Not found.")
def catalog(self, argv):
"""Print dataset/corpus available for download."""
corpus_db = corpus.get_corpus_db(corpus.corpus_db_url())
corpus_db = corpus_db.json()
corpus_names = sorted(corpus_db.keys())
print("Dataset/corpus available for download:")
for name in corpus_names:
print(f"- {name} {corpus_db[name]['latest_version']}", end="")
corpus_info = corpus.get_corpus_db_detail(name)
if corpus_info:
print(f" (Local: {corpus_info['version']})")
else:
print()
print(
"\nUse subcommand 'get' to download a dataset.\n\n"
"Example: thainlp data get crfcut\n"
)
def path(self, argv):
"""Print path of local dataset."""
print(get_pythainlp_data_path())
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