File size: 8,638 Bytes
e05d640
 
 
 
 
 
 
 
 
a6157cf
e05d640
 
 
 
 
 
 
a6157cf
e05d640
 
 
a6157cf
e05d640
 
 
 
 
 
a6157cf
 
e05d640
 
 
 
a6157cf
e05d640
a6157cf
e05d640
 
 
 
 
 
 
a6157cf
e05d640
ef9dd5a
e05d640
 
 
 
 
 
 
 
 
ef9dd5a
 
e05d640
ef9dd5a
 
e05d640
 
ef9dd5a
e05d640
 
 
a6157cf
e05d640
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a6157cf
e05d640
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ef9dd5a
e05d640
 
 
 
 
 
 
 
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
268
269
270
import subprocess
from typing import  Dict, List, Any
import os
import json
import logging
import sys
import tempfile
import time
from pathlib import Path
import re
import shutil
import stat
import subprocess

import uuid
from contextlib import contextmanager

import requests
logging.basicConfig(format="%(asctime)s - %(message)s", level=logging.INFO)
# Git clone command
git_clone_command = "git clone https://github.com/OpenPecha/tibetan-aligner"

# Run the command using subprocess
try:
    subprocess.run(git_clone_command, shell=True, check=True)
    print("Git clone successful!")
except subprocess.CalledProcessError as e:
    print(f"Error while running Git clone command: {e}")


ALIGNER_SCRIPT_DIR = Path("./tibetan-aligner").resolve()
ALIGNER_SCRIPT_NAME = "align_tib_en.sh"
ALIGNER_SCRIPT_PATH = ALIGNER_SCRIPT_DIR / ALIGNER_SCRIPT_NAME
assert ALIGNER_SCRIPT_PATH.is_file()

import requests

GITHUB_USERNAME = "pechawa"
GITHUB_ACCESS_TOKEN = "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"
GITHUB_TOKEN = "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"
GITHUB_EMAIL = "openpecha-bot@openpecha.org"
GITHUB_ORG = "MonlamAI"
MAI_TM_PUBLISH_TODO_REPO = "MonlamAI_TMs_Publish_TODO"
GITHUB_API_ENDPOINT = f"https://api.github.com/orgs/{GITHUB_ORG}/repos"

DEBUG =  False

quiet = "-q" if DEBUG else ""
def make_dir_executable(dir_path: Path):
    for fn in dir_path.iterdir():
        st = os.stat(fn)
        os.chmod(fn, st.st_mode | stat.S_IEXEC)
        st = os.stat(fn)
        os.chmod(fn, st.st_mode | stat.S_IXGRP)
        st = os.stat(fn)
        os.chmod(fn, st.st_mode | stat.S_IXOTH)


make_dir_executable(ALIGNER_SCRIPT_DIR)


def create_github_repo(repo_path: Path, repo_name: str):
    logging.info("[INFO] Creating GitHub repo...")

    # configure git users
    subprocess.run(f"git config --global user.name {GITHUB_USERNAME}".split())
    subprocess.run(f"git config --global user.email {GITHUB_EMAIL}".split())

    # Initialize a Git repository
    subprocess.run(f"git init {quiet}".split(), cwd=str(repo_path))

    # Commit the changes
    subprocess.run("git add . ".split(), cwd=str(repo_path))
    subprocess.run(
        f"git commit {quiet} -m".split() + ["Initial commit"], cwd=str(repo_path)
    )

    # Create a new repository on GitHub
    response = requests.post(
        GITHUB_API_ENDPOINT,
        json={
            "name": repo_name,
            "private": True,
        },
        auth=(GITHUB_USERNAME, GITHUB_ACCESS_TOKEN),
    )
    response.raise_for_status()

    time.sleep(3)

    # Add the GitHub remote to the local Git repository and push the changes
    remote_url = f"https://{GITHUB_ORG}:{GITHUB_ACCESS_TOKEN}@github.com/{GITHUB_ORG}/{repo_name}.git"
    subprocess.run(
        f"git remote add origin {remote_url}", cwd=str(repo_path), shell=True
    )
    # rename default branch to main
    subprocess.run("git branch -M main".split(), cwd=str(repo_path))
    subprocess.run(f"git push {quiet} -u origin main".split(), cwd=str(repo_path))

    return response.json()["html_url"]


def convert_raw_align_to_tm(align_fn: Path, tm_path: Path):
    if DEBUG:
        logging.debug("[INFO] Conerting raw alignment to TM repo...")

    def load_alignment(fn: Path):
        content = fn.read_text()
        print("Content !!! \n\n"+content)
        if not content:
            return []

        for seg_pair in content.splitlines():
            if not seg_pair:
                continue

            if "\t" in seg_pair:
                try:
                    bo_seg, en_seg = seg_pair.split("\t", 1)
                except Exception as e:
                    logging.error(f"{e} in {fn}")
                    raise

            else:
                bo_seg = seg_pair
                en_seg = "\n"
            yield bo_seg, en_seg

    text_bo_fn = tm_path / f"{tm_path.name}-bo.txt"
    text_en_fn = tm_path / f"{tm_path.name}-en.txt"

    with open(text_bo_fn, "w", encoding="utf-8") as bo_file, open(
        text_en_fn, "w", encoding="utf-8"
    ) as en_file:
        for bo_seg, en_seg in load_alignment(align_fn):
            bo_file.write(bo_seg + "\n")
            en_file.write(en_seg + "\n")

    return tm_path


def get_github_dev_url(raw_github_url: str) -> str:
    base_url = "https://github.dev"
    _, file_path = raw_github_url.split(".com")
    blob_file_path = file_path.replace("main", "blob/main")
    return base_url + blob_file_path


def add_input_in_readme(input_dict: Dict[str, str], path: Path) -> Path:
    input_readme_fn = path / "README.md"
    text_id = input_dict["text_id"]
    bo_file_url = get_github_dev_url(input_dict["bo_file_url"])
    en_file_url = get_github_dev_url(input_dict["en_file_url"])
    input_string = "## Input\n- [BO{}]({})\n- [EN{}]({})".format(
        text_id, bo_file_url, text_id, en_file_url
    )

    input_readme_fn.write_text(input_string)

    return path

def add_to_publish_todo_repo(org, repo_name, file_path, access_token):
    base_url = f"https://api.github.com/repos/{org}/{repo_name}/contents/"

    headers = {
        "Authorization": f"Bearer {access_token}",
        "Accept": "application/vnd.github.v3+json",
    }

    url = base_url + file_path

    response = requests.get(url, headers=headers)

    if response.status_code == 200:
        print(f"[INFO] '{file_path}' already added.")
        return

    payload = {"message": f"Add {file_path}", "content": ""}

    response = requests.put(url, headers=headers, json=payload)

    if response.status_code == 201:
        print(f"[INFO] '{file_path}' added to publish todo")
    else:
        print(f"[ERROR] Failed to add '{file_path}'.")
        print(f"[ERROR] Response: {response.text}")


def create_tm(align_fn: Path, text_pair: Dict[str, str]):
    align_fn = Path(align_fn)
    text_id = text_pair["text_id"]
    with tempfile.TemporaryDirectory() as tmp_dir:
        output_dir = Path(tmp_dir)
        repo_name = f"TM{text_id}"
        tm_path = output_dir / repo_name
        tm_path.mkdir(exist_ok=True, parents=True)
        repo_path = convert_raw_align_to_tm(align_fn, tm_path)
        repo_path = add_input_in_readme(text_pair, tm_path)
        repo_url = create_github_repo(repo_path, repo_name)
        logging.info(f"TM repo created: {repo_url}")
        add_to_publish_todo_repo(GITHUB_ORG, MAI_TM_PUBLISH_TODO_REPO, repo_name, GITHUB_ACCESS_TOKEN)
    return repo_url

##----------------------- MAIN -----------------------##


@contextmanager
def TemporaryDirectory():
    tmpdir = Path("./output").resolve() / uuid.uuid4().hex[:8]
    tmpdir.mkdir(exist_ok=True, parents=True)
    try:
        yield tmpdir
    finally:
        shutil.rmtree(str(tmpdir))


def download_file(s3_public_url: str, output_fn) -> Path:
    """Download file from a public S3 bucket URL."""
    with requests.get(s3_public_url, stream=True) as r:
        r.raise_for_status()
        with open(output_fn, "wb") as f:
            for chunk in r.iter_content(chunk_size=8192):
                f.write(chunk)
    return output_fn


def _run_align_script(bo_fn, en_fn, output_dir):
    start = time.time()
    cmd = [str(ALIGNER_SCRIPT_PATH), str(bo_fn), str(en_fn), str(output_dir)]
    output = subprocess.run(
        cmd,
        check=True,
        capture_output=True,
        text=True,
        cwd=str(ALIGNER_SCRIPT_DIR),
    )
    output_fn = re.search(r"\[OUTPUT\] (.*)", output.stdout).group(1)
    output_fn = "/" + output_fn.split("//")[-1]
    end = time.time()
    total_time = round((end - start) / 60, 2)
    logging.info(f"Total time taken for Aligning: {total_time} mins")
    return output_fn
def align(text_pair):
    logging.info(f"Running aligner for TM{text_pair['text_id']}...")
    with TemporaryDirectory() as tmpdir:
        output_dir = Path(tmpdir)
        bo_fn = download_file(text_pair["bo_file_url"], output_fn=output_dir / "bo.tx")
        en_fn = download_file(text_pair["en_file_url"], output_fn=output_dir / "en.tx")
        print("bo_fn: ", bo_fn)
        print("en_fn: ", en_fn)
        aligned_fn = _run_align_script(bo_fn, en_fn, output_dir)
        print("aligned_fn: ", aligned_fn)
        repo_url = create_tm(aligned_fn, text_pair=text_pair)
        return {"tm_repo_url": repo_url}

class EndpointHandler():
    def __init__(self, path=""):
        self.path = path

    def __call__(self, data: Any) -> List[List[Dict[str, float]]]:
        """
        Args:
            data (:obj:):
                includes the input data and the parameters for the inference.
        Return:
            A :obj:`list`:. The list contains the embeddings of the inference inputs
        """
        return align(data)