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Initial word alignment build job (now with files)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,117 @@ | ||
| import json | ||
| import logging | ||
| import os | ||
| from datetime import datetime | ||
| from typing import Callable, Optional, Union, cast | ||
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| import aiohttp | ||
| from clearml import Task | ||
| from dynaconf.base import Settings | ||
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| from ..utils.canceled_error import CanceledError | ||
| from ..utils.progress_status import ProgressStatus | ||
| from .async_scheduler import AsyncScheduler | ||
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| class ProgressInfo: | ||
| last_percent_completed: Union[int, None] = 0 | ||
| last_message: Union[str, None] = "" | ||
| last_progress_time: Union[datetime, None] = None | ||
| last_check_canceled_time: Union[datetime, None] = None | ||
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| def get_clearml_check_canceled(progress_info: ProgressInfo, task: Task) -> Callable[[], None]: | ||
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| def clearml_check_canceled() -> None: | ||
| current_time = datetime.now() | ||
| if ( | ||
| progress_info.last_check_canceled_time is None | ||
| or (current_time - progress_info.last_check_canceled_time).seconds > 20 | ||
| ): | ||
| if task.get_status() == "stopped": | ||
| raise CanceledError | ||
| progress_info.last_check_canceled_time = current_time | ||
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| return clearml_check_canceled | ||
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| def get_clearml_progress_caller( | ||
| progress_info: ProgressInfo, task: Task, scheduler: AsyncScheduler, logger: logging.Logger | ||
| ) -> Callable[[ProgressStatus], None]: | ||
| def clearml_progress(progress_status: ProgressStatus) -> None: | ||
| percent_completed: Optional[int] = None | ||
| if progress_status.percent_completed is not None: | ||
| percent_completed = round(progress_status.percent_completed * 100) | ||
| message = progress_status.message | ||
| if percent_completed != progress_info.last_percent_completed or message != progress_info.last_message: | ||
| logger.info(f"{percent_completed}% - {message}") | ||
| current_time = datetime.now() | ||
| if ( | ||
| progress_info.last_progress_time is None | ||
| or (current_time - progress_info.last_progress_time).seconds > 1 | ||
| ): | ||
| new_runtime_props = task.data.runtime.copy() or {} # type: ignore | ||
| new_runtime_props["progress"] = str(percent_completed) | ||
| new_runtime_props["message"] = message | ||
| scheduler.schedule( | ||
| update_runtime_properties( | ||
| task.id, # type: ignore | ||
| task.session.host, | ||
| task.session.token, # type: ignore | ||
| create_runtime_properties(task, percent_completed, message), | ||
| ) | ||
| ) | ||
| progress_info.last_progress_time = current_time | ||
| progress_info.last_percent_completed = percent_completed | ||
| progress_info.last_message = message | ||
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| return clearml_progress | ||
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| def get_local_progress_caller(progress_info: ProgressInfo, logger: logging.Logger) -> Callable[[ProgressStatus], None]: | ||
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| def local_progress(progress_status: ProgressStatus) -> None: | ||
| percent_completed: Optional[int] = None | ||
| if progress_status.percent_completed is not None: | ||
| percent_completed = round(progress_status.percent_completed * 100) | ||
| message = progress_status.message | ||
| if percent_completed != progress_info.last_percent_completed or message != progress_info.last_message: | ||
| logger.info(f"{percent_completed}% - {message}") | ||
| progress_info.last_percent_completed = percent_completed | ||
| progress_info.last_message = message | ||
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| return local_progress | ||
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| def update_settings(settings: Settings, args: dict): | ||
| settings.update(args) | ||
| settings.model_type = cast(str, settings.model_type).lower() | ||
| if "build_options" in settings: | ||
| try: | ||
| build_options = json.loads(cast(str, settings.build_options)) | ||
| except ValueError as e: | ||
| raise ValueError("Build options could not be parsed: Invalid JSON") from e | ||
| except TypeError as e: | ||
| raise TypeError(f"Build options could not be parsed: {e}") from e | ||
| settings.update({settings.model_type: build_options}) | ||
| settings.data_dir = os.path.expanduser(cast(str, settings.data_dir)) | ||
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| async def update_runtime_properties(task_id: str, base_url: str, token: str, runtime_props: dict) -> None: | ||
| async with aiohttp.ClientSession(base_url=base_url, headers={"Authorization": f"Bearer {token}"}) as session: | ||
| json = {"task": task_id, "runtime": runtime_props, "force": True} | ||
| async with session.post("/tasks.edit", json=json) as response: | ||
| response.raise_for_status() | ||
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| def create_runtime_properties(task, percent_completed: Optional[int], message: Optional[str]) -> dict: | ||
| runtime_props = task.data.runtime.copy() or {} | ||
| if percent_completed is not None: | ||
| runtime_props["progress"] = str(percent_completed) | ||
| else: | ||
| del runtime_props["progress"] | ||
| if message is not None: | ||
| runtime_props["message"] = message | ||
| else: | ||
| del runtime_props["message"] | ||
| return runtime_props |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,103 @@ | ||
| import argparse | ||
| import logging | ||
| from typing import Callable, Optional | ||
|
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| from clearml import Task | ||
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| from machine.jobs.thot.thot_word_alignment_model_factory import ThotWordAlignmentModelFactory | ||
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| from ..utils.progress_status import ProgressStatus | ||
| from .async_scheduler import AsyncScheduler | ||
| from .build_clearml_helper import ( | ||
| ProgressInfo, | ||
| create_runtime_properties, | ||
| get_clearml_check_canceled, | ||
| get_clearml_progress_caller, | ||
| get_local_progress_caller, | ||
| update_runtime_properties, | ||
| update_settings, | ||
| ) | ||
| from .clearml_shared_file_service import ClearMLSharedFileService | ||
| from .config import SETTINGS | ||
| from .word_alignment_build_job import WordAlignmentBuildJob | ||
| from .word_alignment_model_factory import WordAlignmentModelFactory | ||
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| # Setup logging | ||
| logging.basicConfig( | ||
| format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", | ||
| level=logging.INFO, | ||
| ) | ||
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| logger = logging.getLogger(str(__package__) + ".build_word_alignment_model") | ||
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| def run(args: dict) -> None: | ||
| progress: Callable[[ProgressStatus], None] | ||
| check_canceled: Optional[Callable[[], None]] = None | ||
| task = None | ||
| scheduler: Optional[AsyncScheduler] = None | ||
| progress_info = ProgressInfo() | ||
| if args["clearml"]: | ||
| task = Task.init() | ||
| scheduler = AsyncScheduler() | ||
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| check_canceled = get_clearml_check_canceled(progress_info, task) | ||
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| task.reload() | ||
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| progress = get_clearml_progress_caller(progress_info, task, scheduler, logger) | ||
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| else: | ||
| progress = get_local_progress_caller(ProgressInfo(), logger) | ||
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| try: | ||
| logger.info("Word Alignment Build Job started") | ||
| update_settings(SETTINGS, args) | ||
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| logger.info(f"Config: {SETTINGS.as_dict()}") | ||
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| shared_file_service = ClearMLSharedFileService(SETTINGS) | ||
| word_alignment_model_factory: WordAlignmentModelFactory | ||
| if SETTINGS.model_type == "thot": | ||
| word_alignment_model_factory = ThotWordAlignmentModelFactory(SETTINGS) | ||
| else: | ||
| raise RuntimeError("The model type is invalid.") | ||
|
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| word_alignment_build_job = WordAlignmentBuildJob(SETTINGS, word_alignment_model_factory, shared_file_service) | ||
| train_corpus_size, confidence = word_alignment_build_job.run(progress, check_canceled) | ||
| if scheduler is not None and task is not None: | ||
| scheduler.schedule( | ||
| update_runtime_properties( | ||
| task.id, task.session.host, task.session.token, create_runtime_properties(task, 100, "Completed") | ||
| ) | ||
| ) | ||
| task.get_logger().report_single_value(name="train_corpus_size", value=train_corpus_size) | ||
| task.get_logger().report_single_value(name="confidence", value=round(confidence, 4)) | ||
| logger.info("Finished") | ||
| except Exception as e: | ||
| if task: | ||
| if task.get_status() == "stopped": | ||
| return | ||
| else: | ||
| task.mark_failed(status_reason=type(e).__name__, status_message=str(e)) | ||
| raise e | ||
| finally: | ||
| if scheduler is not None: | ||
| scheduler.stop() | ||
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| def main() -> None: | ||
| parser = argparse.ArgumentParser(description="Trains an SMT model.") | ||
| parser.add_argument("--model-type", required=True, type=str, help="Model type") | ||
| parser.add_argument("--build-id", required=True, type=str, help="Build id") | ||
| parser.add_argument("--clearml", default=False, action="store_true", help="Initializes a ClearML task") | ||
| parser.add_argument("--build-options", default=None, type=str, help="Build configurations") | ||
| args = parser.parse_args() | ||
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| input_args = {k: v for k, v in vars(args).items() if v is not None} | ||
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| run(input_args) | ||
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| if __name__ == "__main__": | ||
| main() |
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