| |
| |
| |
| |
| """ |
| 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()) |
|
|
