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Python文件格式转换器：文档、数据、图像一键转换，动态生成代码

file-converter by 89jobrien/steve

49 周安装量

4 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/89jobrien/steve --skill file-converter

Python Web框架文件管理数据处理

🇨🇳中文介绍

文件转换器

概述

在三大类别之间转换文件格式：文档、数据文件和图像。为每个转换请求动态生成 Python 代码，选择合适的库并处理边缘情况。

转换类别

文档

从	到	推荐库
Markdown	HTML	`markdown` 或 `mistune`
HTML	Markdown	`markdownify` 或 `html2text`
HTML	PDF	`weasyprint` 或 (需要 wkhtmltopdf)

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从	到	推荐库
PNG/JPG/WebP/GIF	任何光栅图	`Pillow` (PIL)
SVG	PNG/JPG	`cairosvg` 或 `svglib` + `reportlab`
PNG	SVG	`potrace` (CLI) 用于描摹，保真度有限

数据：JSON 转 YAML

import json
import yaml

with open("input.json") as f:
    data = json.load(f)

with open("output.yaml", "w") as f:
    yaml.dump(data, f, default_flow_style=False, allow_unicode=True)

数据：CSV 转 JSON

import csv
import json

with open("input.csv") as f:
    reader = csv.DictReader(f)
    data = list(reader)

with open("output.json", "w") as f:
    json.dump(data, f, indent=2)

文档：Markdown 转 HTML

import markdown

with open("input.md") as f:
    md_content = f.read()

html = markdown.markdown(md_content, extensions=["tables", "fenced_code"])

with open("output.html", "w") as f:
    f.write(html)

图像：PNG 转 WebP

from PIL import Image

img = Image.open("input.png")
img.save("output.webp", "WEBP", quality=85)

图像：SVG 转 PNG

import cairosvg

cairosvg.svg2png(url="input.svg", write_to="output.png", scale=2)

复杂转换的详细指南位于 references/ 目录：

references/document-conversions.md - PDF 处理、编码问题、样式保留
references/data-conversions.md - 模式处理、类型强制转换、嵌套结构
references/image-conversions.md - 质量设置、透明度、颜色配置文件

处理边缘情况或用户有特定质量/保真度要求时，请查阅这些参考资料。

🇺🇸English

File Converter

Overview

Convert files between formats across three categories: documents, data files, and images. Generate Python code dynamically for each conversion request, selecting appropriate libraries and handling edge cases.

Conversion Categories

Documents

From	To	Recommended Library
Markdown	HTML	`markdown` or `mistune`
HTML	Markdown	`markdownify` or `html2text`
HTML	PDF	`weasyprint` or `pdfkit` (requires wkhtmltopdf)
PDF	Text	`pypdf` or `pdfplumber`
DOCX	Markdown	`mammoth`
DOCX	PDF	`docx2pdf` (Windows/macOS) or LibreOffice CLI
Markdown	PDF	Convert via HTML first, then to PDF

Data Files

From	To	Recommended Library
JSON	YAML	`pyyaml`
YAML	JSON	`pyyaml`
JSON	CSV	`pandas` or stdlib `csv` + `json`
CSV	JSON	`pandas` or stdlib `csv` +

Images

From	To	Recommended Library
PNG/JPG/WebP/GIF	Any raster	`Pillow` (PIL)
SVG	PNG/JPG	`cairosvg` or `svglib` + `reportlab`
PNG	SVG	`potrace` (CLI) for tracing, limited fidelity

Workflow

Identify source format (from file extension or user statement)
Identify target format
Check references/ for format-specific guidance
Generate conversion code using recommended library
Handle edge cases (encoding, transparency, nested structures)
Execute conversion and report results

Quick Patterns

Data: JSON to YAML

import json
import yaml

with open("input.json") as f:
    data = json.load(f)

with open("output.yaml", "w") as f:
    yaml.dump(data, f, default_flow_style=False, allow_unicode=True)

Data: CSV to JSON

import csv
import json

with open("input.csv") as f:
    reader = csv.DictReader(f)
    data = list(reader)

with open("output.json", "w") as f:
    json.dump(data, f, indent=2)

Document: Markdown to HTML

import markdown

with open("input.md") as f:
    md_content = f.read()

html = markdown.markdown(md_content, extensions=["tables", "fenced_code"])

with open("output.html", "w") as f:
    f.write(html)

Image: PNG to WebP

from PIL import Image

img = Image.open("input.png")
img.save("output.webp", "WEBP", quality=85)

Image: SVG to PNG

import cairosvg

cairosvg.svg2png(url="input.svg", write_to="output.png", scale=2)

Resources

Detailed guidance for complex conversions is in references/:

references/document-conversions.md - PDF handling, encoding issues, styling preservation
references/data-conversions.md - Schema handling, type coercion, nested structures
references/image-conversions.md - Quality settings, transparency, color profiles

Consult these references when handling edge cases or when the user has specific quality/fidelity requirements.

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Repository

89jobrien/steve

GitHub Stars

First Seen

Jan 24, 2026

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