慣性聚合 高效追讀感興趣之博客、新聞、科技資訊
閱原文 以慣性聚合開啟

推薦訂閱源

博客园 - 司徒正美
V
V2EX
T
Tailwind CSS Blog
有赞技术团队
有赞技术团队
aimingoo的专栏
aimingoo的专栏
Apple Machine Learning Research
Apple Machine Learning Research
IT之家
IT之家
Blog — PlanetScale
Blog — PlanetScale
A
About on SuperTechFans
月光博客
月光博客
T
The Blog of Author Tim Ferriss
宝玉的分享
宝玉的分享
Martin Fowler
Martin Fowler
博客园 - 聂微东
The GitHub Blog
The GitHub Blog
V
Visual Studio Blog
WordPress大学
WordPress大学
酷 壳 – CoolShell
酷 壳 – CoolShell
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python)
复以 Python 使格式化 JSON 可读
Yair Lenga · 2026-05-24 · via DEV Community
Cover image for Making Pretty-Printed JSON Readable Again in Python

Yair Lenga

凡JSON之序列化器,予人择二者而已:

  • 简练之机言:
{"a":{"b":{"c":"abc"}},"x":{"y":{"z":"xyz"}}}

入全景模式 出全景模式

  • 或繁全之“美观打印”:
{
  "a": {
    "b": {
      "c": "abc"
    }
  },
  "x": {
    "y": {
      "z": "xyz"
    }
  }
}

入全景模式 出全景模式

吾欲中道求之:首者,人难遍览;次者,于世之嵌套数据则繁冗不堪。

其意

吾撰微小程序,名曰jsonfold。非欲易Python之JSON序列器,乃于json.dump()输出之上,行轻捷之后续过滤。

其格式化者,择而用之:

  • 将小容器折迭于一线之上,
  • 将短标量序列打包,
  • 使大或繁复之结构得展其形。

例如其出:

{
  "a": { "b": { "c": "abc" } },
  "x": { "y": { "z": "xyz" } }
}

入全景模式 出全景模式

为何此法?

吾非欲重造序列器——已有良善序列器(含内置者)json.dump()者,能效处诸般,自简数据结体(list/dict)至定制类与Python @dataclass物,施变易而制输出之式。

至若其趣,在 formatter不析JSON流。其行若流式之裹,绕于类文件之物:

json.dump(obj, JSONFoldWriter(fp), indent=2)

入全屏模式 出全屏模式

是故,其能驭巨篇而用恒量之忆,行线性之时。此法适于众既有之序列器。复备裹器于json.dump()json.dumps()

from jsonfold import dumps

data = {
    "a": {"b": {"c": "abc"}},
    "x": {"y": {"z": "xyz"}},
}

print(dumps(data))

入全屏模式 出全屏模式

自制

格式化器可控制之:

  • 最大行宽
  • 折深
  • 装束之锐气,
  • 数组/对象之限。

故尔可择保守之格式,抑或更进之压缩。

全文:

中道(无门槛)一可流式化之JSON格式器,与既有序列化器相协

用之至微

拽之jsonfold.pyGitHub项目

import jsonfold
import sys
data = {
    "meta": {"version": 1, "ok": True},
    "ids": [1, 2, 3, 4, 5],
    "items": [{"id": 1, "name": "alpha"}, {"id": 2, "name": "beta"}],
}
# compact can be: default, low, med, high, max
jsonfold.dump(data, sys.stdout, compact="default")

入全景模式 出全屏模式

GitHub项目

仓库:https://github.com/yairlenga/jsonfold

Python之实现在下python 文件夹。

后续文章将涵盖其他实现:JavaScript、Java、C、…… —— 请关注 GitHub 项目,或追随 Medium 上的文章。