File size: 10,199 Bytes
285c5ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4afac34
 
285c5ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4afac34
285c5ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8eb92fa
 
 
 
 
 
285c5ff
8eb92fa
285c5ff
 
 
 
8eb92fa
 
285c5ff
 
 
 
8fe2f7a
285c5ff
 
 
 
 
 
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
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
#!/usr/bin/env -S uv run --script
#
# /// script
# requires-python = ">=3.12"
# dependencies = [
#   "pyyaml",
#   "load-dotenv",
# ]
# ///
"""
Collect relevant metadata from local UD directories:
- extracting the '# Summary' from the beginning and machine readable
  metadata from the end of the README.{md,txt} file
- using the UD directory name for collecting metadata from the
  codes_and_flags.yaml file
- collecting {dev,train,test}.conllu files.
"""

import json
import os
import xml.etree.ElementTree as ET
import argparse
import logging
from collections import defaultdict
from pathlib import Path

import yaml
from dotenv import load_dotenv


load_dotenv()
UD_VER = os.getenv('UD_VER', "2.15")

# Parse command line arguments
parser = argparse.ArgumentParser(description=__doc__,
                                 formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('-o', '--override', action='store_true',
                    help='override output file if it already exists')
parser.add_argument('-v', '--verbose', action='count', default=0,
                    help='increase verbosity level')
args = parser.parse_args()

# Set up logging
logging.basicConfig(
    level = max(logging.DEBUG, logging.INFO - args.verbose * 10),
    format='%(asctime)s [%(levelname)s] %(message)s',
    datefmt='%Y-%m-%d %H:%M:%S'
)

def extract_metadata(file_path) -> {}:
    """
    Collect relevant metadata from UD directories.

    Args:
        file_path (str): The path to the README.{md,txt} file.

    Returns:
        dict: The extracted metadata.
    """
    metadata = {
        "summary": None,
        "license": None,
        "genre": None,
        "lemmas": None,
        "upos": None,
        "xpos": None,
        "language": None,   # German:
        "flag": None,       #   flag: DE
        "lcode": None,      #   lcode: de
        "iso3": None,       #   iso3: deu
        "family": None,     #   family: IE
        "genus": None,      #   genus: Germanic
        # "splits": None,      # {"train":  {"files": []},
                               #  "dev":    {"files": []},
                               #  "test":   {"files": []},
                               #  "unknown":{"files": []}}
    }

    with open(file_path, 'r') as file:
        lines = [line.strip() for line in file.readlines()]
        summary_start = None
        summary_end = None
        for i, line in enumerate(lines):
            if not summary_start and line.strip().startswith('# '):
                summary_start = i + 1
            elif summary_start and line.strip().startswith('# '):
                summary_end = i - 1
                break

        if summary_start and summary_end:
            # we have a summary
            metadata["summary"] = (' '.join(lines[summary_start:summary_end])).strip()

        # This is a (quite hackish) approach inspired by:
        # https://github.com/UniversalDependencies/LICENSE/blob/master/generate_license_for_lindat.pl
        for line in lines[summary_end:]:
            if ":" in line:
                key, val = line.split(":", 1)
                if key.lower() in metadata.keys():
                    if key.lower() == "genre":
                        val = val.strip().split(" ")
                    else:
                        val = val.strip()
                    metadata[key.lower()] = val
    return metadata


def traverse_directory(directory):
    """
    Traverses the directory and its first-level subdirectories, finds the
    specified files, and extracts the summary from the README.{md,txt} file.

    Args:
        directory (str): The path to the directory.

    Returns:
        dict: A dictionary containing the extracted summaries for each file.
    """
    results = defaultdict(lambda: defaultdict(dict))

    with open(os.path.join('etc', f"codes_and_flags-latest.yaml"), 'r') as file:
        codes_and_flags = yaml.safe_load(file)
        logging.debug(codes_and_flags)

    for item in os.listdir(directory):
        if item.startswith("."):
            continue

        if os.path.isdir(os.path.join(directory, item)):
            dir_path = os.path.join(directory, item)
            logging.debug(dir_path)

            tag_fn = os.path.join(dir_path, f".tag-r{UD_VER}")
            if not Path(tag_fn).exists():
                logging.info(f"No tag file:{tag_fn}: Ignoring content.")
                continue

            results[item]["splits"] = {
                "train": {"files": [], "num_bytes": 0},
                "dev": {"files": [], "num_bytes": 0},
                "test": {"files": [], "num_bytes": 0},
                "unknown": {"files": [], "num_bytes": 0}
            }
            for file in os.listdir(dir_path):
                if file.endswith(".conllu"):
                    file_path = os.path.join(dir_path, file)
                    github_path = os.path.join(item, f"r{UD_VER}", file)
                    logging.debug(file_path)
                    match file:
                        case x if "dev" in file:
                            subset = "dev"
                        case x if "test" in file:
                            subset = "test"
                        case x if "train" in file:
                            subset = "train"
                        case _:
                            subset = "unknown"
                    results[item]["splits"][subset]["files"].append(github_path)

                    sum_bytes = os.stat(file_path).st_size
                    results[item]["splits"][subset]["num_bytes"] += sum_bytes

                elif file.startswith("README") and (file.endswith(
                        tuple(["md", "txt"]))):
                    results[item].update(
                        extract_metadata(os.path.join(dir_path, file)))
                    # print(results[item])

                elif file == "stats.xml":
                    # Extract size values:
                    # <treebank>
                    #  <size>
                    #    <total><sentences>15589</sentences><tokens>287708</tokens><words>292756</words><fused>5048</fused></total>
                    #    <train><sentences>13813</sentences><tokens>259167</tokens><words>263777</words><fused>4610</fused></train>
                    #    <dev><sentences>799</sentences><tokens>12316</tokens><words>12480</words><fused>164</fused></dev>
                    #    <test><sentences>977</sentences><tokens>16225</tokens><words>16499</words><fused>274</fused></test>
                    #  </size>
                    tree = ET.parse(os.path.join(dir_path, file))
                    root = tree.getroot()
                    size_node = root.find('.//size')
                    if size_node is None:
                        continue

                    for child_node_name in ["train", "dev", "test"]:

                        child_node = size_node.find(child_node_name)
                        if child_node is None:
                            continue

                        for child_child_node_name in ["sentences", "tokens", "words"]:
                            value = child_node.find(child_child_node_name).text
                            # print(f"Item:{item} {child_node_name}-{child_child_node_name}: {value}")

                            if value and int(value) > 0:
                                results[item]["splits"][child_node_name][f"num_{child_child_node_name}"] = value
                                # print(f"key: {child_node_name}")
                                # print(f"value: {value}")

            # 'Read' language name from the dirname (UD_Abaza-ATB/), extract
            # the relevant metadata from 'codes_and_flags.yaml' and add it to
            # the metadata.
            # ```
            # Abaza:
            #   flag: RU-ABAZA
            #   lcode: abq
            #   iso3: abq
            #   family: Northwest Caucasian
            # ```
            language = item[3:].rsplit("-", 1)[0].replace("_", " ")
            results[item]["language"] = language
            #print(f"item: {item}, language: {language}")
            results[item].update(codes_and_flags[language])

            # 'Read' the corpus name from the dirname (UD_Abaza-ATB/) and
            # construct a short name for the data set:
            # abq_atb
            corpus_name = item[3:].rsplit("-", 1)[1].lower()
            name = f"{results[item]["lcode"]}_{corpus_name}"
            results[item]["name"] = name

            # Delete empty
            #   1. file subsets
            for fileset_k,fileset_v in list(results[item]["splits"].items()):
                if not fileset_v["files"]:
                    del results[item]["splits"][fileset_k]

            #   2. sets without a summary, files or license
            if not results[item]["summary"]:
                del results[item]
                print(f"ITEM DELETED - no summary: {item}")

            if not any([value["files"] for value in
                        results[item]["splits"].values()]):
                print(results[item]["splits"])
                del results[item]
                print(f"ITEM DELETED - no files  : {item}")

            if not results[item]["license"]:
                del results[item]
                print(f"ITEM DELETED - no license: {item}")

    # Swap keys and key.value()["name"]; add old key as key.value()["dirname"]
    for key in list(results.keys()):
        name = results[key]["name"]
        del results[key]["name"]
        results[key]["dirname"] = key
        results[name] = results.pop(key)

    return results

if __name__ == '__main__':
    directory = 'UD_repos'
    results = traverse_directory(directory)
    for name, metadata in results.items():
        print(f"Directory: {metadata['dirname']}")
        # print(metadata)
        # print('---')

    # Write the metadata to json
    output_fn = f"metadata-{UD_VER}.json"
    if args.override or not open(output_fn, 'r').read():
        with open(output_fn, 'w') as fh:
            json.dump(results, fh, ensure_ascii=False)
            print(f"{output_fn} written")
    else:
        logging.info(f"Output {output_fn} already exists: Not overriding.")