Description #

PPT conversion processor, supports converting PPT/PPTX to PDF and per-page images

Main features #

• Supports converting PPT/PPTX documents to PDF files
• Supports converting PPT/PPTX to PNG images split by page
• Automatically handles downloading and uploading for local paths and remote paths (such as TOS/HTTP)
• Provides conversion timeout control and basic failure fallback

Applicable scenarios #

• Batch convert presentations to PDF for preview or archiving
• Convert presentations to per-page images for online display or content review

Notes #

• Depends on LibreOffice (soffice command) being installed on the local machine
• If pdf2image is not installed, the system's pdftoppm tool will be used for image conversion as a fallback
• Currently supports generating PNG/JPG image formats

Operator parameters #

Input #

Output #

Outputs an array of processed path strings, corresponding one-to-one with the input; if a single item fails, the corresponding position returns an empty string.

Parameters #

If a parameter does not have a default value, it is required

Examples #

The following code demonstrates how to use Daft (for distributed scenarios) to execute the PPT conversion operator.

# Copyright (c) Beijing Volcano Engine Technology Ltd.

from __future__ import annotations

import os

import daft
from daft import col
from daft.las.functions.doc import PPTConvert
from daft.las.functions.udf import las_udf

if __name__ == "__main__":
    # The converted files will be saved to the specified TOS path, so you need to set environment variables to ensure write permissions to TOS, including: ACCESS_KEY, SECRET_KEY, TOS_ENDPOINT, TOS_REGION, TOS_TEST_DIR
    TOS_DIR = os.getenv("TOS_DIR", "tos_bucket")
    output_tos_dir = f"tos://{TOS_DIR}/doc/ppt_convert"

    if os.getenv("DAFT_RUNNER", "native") == "ray":
        import logging

        import ray

        def configure_logging():
            logging.basicConfig(
                level=logging.INFO,
                format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
                datefmt="%Y-%m-%d %H:%M:%S.%s".format(),
            )
            logging.getLogger("tracing.span").setLevel(logging.WARNING)
            logging.getLogger("daft_io.stats").setLevel(logging.WARNING)
            logging.getLogger("DaftStatisticsManager").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaScheduler").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaDispatcher").setLevel(logging.WARNING)

        ray.init(dashboard_host="0.0.0.0", runtime_env={"worker_process_setup_hook": configure_logging})
        daft.set_runner_ray()
    daft.set_execution_config(actor_udf_ready_timeout=600)
    daft.set_execution_config(min_cpu_per_task=0)

    tos_dir_url = os.getenv("TOS_DIR_URL", "las-cn-beijing-public-online.tos-cn-beijing.volces.com")
    samples = {"pptx": [f"https://{tos_dir_url}/public/shared_doc_dataset/sample.pptx"]}
    df = daft.from_pydict(samples)

    constructor_kwargs = {"target_format": "pdf", "output_dir": output_tos_dir}

    df = df.with_column(
        "pdf",
        las_udf(PPTConvert, construct_args=constructor_kwargs, concurrency=1)(col("pptx")),
    )

    constructor_kwargs = {"target_format": "images", "output_dir": output_tos_dir, "image_format": "jpg"}
    df = df.with_column(
        "images",
        las_udf(PPTConvert, construct_args=constructor_kwargs, concurrency=1)(col("pptx")),
    )
    df.show()

    # ╭────────────────────────────────┬────────────────────────────────┬────────────────────────────────╮
    # │ pptx                           ┆ pdf                            ┆ images                         │
    # │ ---                            ┆ ---                            ┆ ---                            │
    # │ String                         ┆ String                         ┆ String                         │
    # ╞════════════════════════════════╪════════════════════════════════╪════════════════════════════════╡
    # │ https://las-cn-beijing-public… ┆ tos://las-ai-qa-online/qa/tes… ┆ tos://las-ai-qa-online/qa/tes… │
    # ╰────────────────────────────────┴────────────────────────────────┴────────────────────────────────╯