handler.py

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 =  True

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):
        try:
            # Ensure fn is a Path object
            fn = Path(fn)
    
            # Check if the file exists
            if not fn.exists():
                logging.error(f"File does not exist: {fn}")
                return
    
            # Read and log the content of the file
            content = fn.read_text()
            if content:
                logging.info(f"Content length of {fn.name}: {len(content)} characters") # Log first 100 characters
            else:
                logging.warning(f"File is empty: {fn}")
    
        except Exception as e:
            logging.error(f"Error while reading file {fn}: {e}")
        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)
        
        # Download files and validate them
        bo_fn = download_file(text_pair["bo_file_url"], output_fn=output_dir / "bo.txt")
        en_fn = download_file(text_pair["en_file_url"], output_fn=output_dir / "en.txt")

        # Check if files are downloaded correctly
        if not bo_fn.exists() or bo_fn.stat().st_size == 0:
            logging.error(f"Failed to download or empty file: {bo_fn}")
            return {"error": "Failed to download Tibetan file or file is empty"}

        if not en_fn.exists() or en_fn.stat().st_size == 0:
            logging.error(f"Failed to download or empty file: {en_fn}")
            return {"error": "Failed to download English file or file is empty"}

        # Log content of files for verification
        logging.info(f"Content of {bo_fn.name}: {bo_fn.read_text()[:100]}...")
        logging.info(f"Content of {en_fn.name}: {en_fn.read_text()[:100]}...")

        # Run alignment script
        try:
            aligned_fn = _run_align_script(bo_fn, en_fn, output_dir)
            logging.info(f"Alignment script output file: {aligned_fn}")
        except Exception as e:
            logging.error(f"Alignment script error: {e}")
            return {"error": f"Alignment script failed: {e}"}

        # Create TM repository
        try:
            repo_url = create_tm(aligned_fn, text_pair=text_pair)
            return {"tm_repo_url": repo_url}
        except Exception as e:
            logging.error(f"Error in creating TM repository: {e}")
            return {"error": f"Error in repository creation: {e}"}

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
        """
        data = data.pop("inputs",data)
        return align(data)