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Byted Tos Image Process

这是基于火山引擎TOS官方SDK的图片处理工具,核心功能含获取图片元数据、格式转换、尺寸调整、添加可见/盲水印。适用于处理TOS存储的图片,如生成缩略图、批量转格式、打版权水印等场景。需配置AK/SK等环境变量初始化客户端,传入桶名和对象键,构造process参数调用SDK,输出可为本地文件、回存TOS的图片或元数据。

volcengine-skills
volcengine-skills
热度 31.72
最近更新 2026-05-11 17:38:11
分类:开发依赖:代码执行 / 第三方 API应用场景:API 集成 / 数据处理 / 文件转换

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add byted-tos-image-process
Metadata
name
byted-tos-image-process
version
1.0.0
description
Provides image processing capabilities for objects in Bytedance TOS using the official SDK. Supports getting image info, format conversion, resizing, and watermarking. Use when you need to analyze or transform images stored in TOS.
homepage
https://www.volcengine.com/docs/6349/153623

Bytedance TOS Image Process Skill

This skill provides essential image processing functions for files stored in Bytedance's TOS (TeraObjectStore). It allows you to retrieve image metadata, convert formats, resize, and apply watermarks directly using the Volcengine TOS SDK.

Quick Start

1. Client Initialization

The following Python snippet demonstrates how to initialize the TosClientV2 from environment variables.

import os
import tos
from tos.exceptions import TosClientError, TosServerError

def create_client() -> tos.TosClientV2:
    """Initializes a TosClientV2 using AK/SK (and optional STS token) from environment variables."""
    try:
        ak = os.getenv('TOS_ACCESS_KEY')
        sk = os.getenv('TOS_SECRET_KEY')
        endpoint = os.getenv('TOS_ENDPOINT')
        region = os.getenv('TOS_REGION')
        security_token = os.getenv('TOS_SECURITY_TOKEN') # Optional, for STS

        if not all([ak, sk, endpoint, region]):
            raise ValueError("Required environment variables are missing (AK, SK, Endpoint, Region).")

        return tos.TosClientV2(
            ak=ak,
            sk=sk,
            endpoint=endpoint,
            region=region,
            security_token=security_token,
        )
    except (ValueError, ImportError) as e:
        print(f"Error initializing client: {e}")
        return None

# Create the client
client = create_client()

2. Basic Workflow

# (Assumes 'client' is initialized and 'bucket_name', 'object_key' are set)

# 1. Get Image Info
try:
    response = client.get_object(bucket_name, object_key, process="image/info")
    info_data = response.read()
    print("Image Info:", info_data.decode('utf-8'))
except TosServerError as e:
    print(f"Error getting image info: {e}")

# 2. Resize an Image and save locally
try:
    client.get_object_to_file(
        bucket_name,
        object_key,
        "resized_image.jpg",
        process="image/resize,w_500,m_lfit" # Resize to 500px width, lfit mode
    )
    print("Resized image saved to resized_image.jpg")
except TosServerError as e:
    print(f"Error resizing image: {e}")

# 3. Convert Image to WebP and save back to TOS
try:
    response = client.get_object(
        bucket_name,
        object_key,
        process="image/format,f_webp,q_80", # Convert to WebP, quality 80
        save_bucket="my-output-bucket",
        save_object="processed/image.webp"
    )
    save_result = response.read()
    print("Converted image saved to TOS:", save_result.decode('utf-8'))
except TosServerError as e:
    print(f"Error saving converted image to TOS: {e}")

Core Operations

All image processing is achieved by passing a process string to the get_object or get_object_to_file SDK methods.

1. Get Image Info (ImageInfo)

Retrieves metadata of an image file, such as format, dimensions, and EXIF data.

SDK Method: client.get_object(..., process="image/info")

response = client.get_object(bucket_name, object_key, process="image/info")
image_metadata = response.read().decode('utf-8')
print(image_metadata)

2. Convert Image Format (ImageFormat)

Converts an image to a different format (e.g., JPEG, PNG, WebP) and adjusts quality.

SDK Method: client.get_object_to_file(..., process="image/format,f_webp,q_80")

# Convert to PNG format
client.get_object_to_file(
    bucket_name,
    object_key,
    "output.png",
    process="image/format,f_png"
)

3. Resize Image (ImageResize)

Resizes an image based on specified width, height, and resizing mode.

SDK Method: client.get_object_to_file(..., process="image/resize,w_800,h_600,m_fill")

# Resize to a maximum width of 1024px, maintaining aspect ratio
client.get_object_to_file(
    bucket_name,
    object_key,
    "resized_1024.jpg",
    process="image/resize,w_1024"
)

4. Apply Watermark (ImageWatermark & ImageBlindWatermark)

Adds a visible or blind watermark to an image. Parameters are complex and should be constructed according to the official TOS documentation.

SDK Method: client.get_object_to_file(..., process="image/watermark,...")

# Example for a text watermark (parameters must be Base64-encoded)
# This is a conceptual example. Refer to official docs for exact keys.
import base64
text_b64 = base64.b64encode("My Watermark".encode()).decode()
process_rule = f"image/watermark,type_1,text_{text_b64},size_40,p_9"

client.get_object_to_file(
    bucket_name,
    object_key,
    "watermarked.jpg",
    process=process_rule
)

5. Generic Image Processing (ImageProcess)

A flexible entry point that accepts any valid image processing string.

SDK Method: client.get_object(..., process="<full-process-string>")

# Example: Apply a Gaussian blur (hypothetical parameters)
client.get_object_to_file(
    bucket_name,
    object_key,
    "blurred.jpg",
    process="image/blur,r_5,s_2"
)

Authorization

Authentication is handled by tos.TosClientV2. Provide credentials via environment variables.

Required Environment Variables

  • TOS_ACCESS_KEY
  • TOS_SECRET_KEY
  • TOS_ENDPOINT
  • TOS_REGION

Optional for STS

  • TOS_SECURITY_TOKEN

Best Practices

  • Error Handling: Wrap SDK calls in try...except blocks to handle TosClientError and TosServerError.
  • Parameter Construction: For complex operations like watermarking, carefully construct the process string according to the official TOS documentation. Base64-encode parameter values where required.
  • Client Reuse: Initialize the TosClientV2 once and reuse it for multiple operations.

Additional Resources

  • For detailed parameters of each operation, see REFERENCE.md.
  • For common end-to-end examples, see WORKFLOWS.md.
  • For executable Python examples, see the scripts/ directory.
  • For the definitive list of all processing parameters, always consult the official Volcengine TOS Image Processing documentation.