API Mock Generator

👤 charlie-morrison 📦 v1.0.1 ⭐ 4.4 ⬇️ 786 下載
💻 開發程式設計 免費

📖 技能介紹

API Mock Generator

Generate mock API servers and static fixtures from OpenAPI/Swagger specs. Contextual fake data (emails, names, UUIDs, etc.) based on property names and schema types.

Quick Start

更多技能請訪問小蔥技能站7w4.net。

# Start a live mock server
python3 scripts/generate_mock.py serve api.json

# Generate static JSON mock files
python3 scripts/generate_mock.py generate api.json -o mocks/

# List discovered routes
python3 scripts/generate_mock.py routes api.json

# Generate sample response for a specific endpoint
python3 scripts/generate_mock.py sample api.json /users

Commands

serve — Live Mock Server

python3 scripts/generate_mock.py serve spec.json [options]

Options:

  • --port, -p — port (default: 3000)
  • --host — host (default: 127.0.0.1)
  • --delay, -d — response delay in ms (simulate latency)
  • --error-rate, -e — random error rate 0.0-1.0 (simulate failures)

Features: CORS headers on all responses, path parameter matching, JSON responses with Content-Type headers.

generate — Static Mock Files

python3 scripts/generate_mock.py generate spec.json -o output_dir/

Creates one JSON file per route + manifest.json with route mapping. Useful for test fixtures or frontend stubs.

routes — Discover Endpoints

python3 scripts/generate_mock.py routes spec.json [--format text|json]

sample — Single Endpoint Preview

python3 scripts/generate_mock.py sample spec.json /users --method GET

Supported Specs

  • OpenAPI 3.x (JSON)
  • Swagger 2.0 (JSON)
  • YAML (requires pip install pyyaml)

Fake Data Generation

Property-name-aware generation:

Property pattern Generated data
*email* realistic email
*name* first/last/full name
*phone* formatted phone
*url*, *website* https URL
*city*, *country* real city/country
*id*, *uuid* UUID v4
*price*, *amount* currency-like number
*image*, *avatar* picsum.photos URL
*description*, *bio* lorem paragraph
*status* active/inactive/pending

Schema-aware: respects enum, example, default, format (date, date-time, email, uri, uuid, ipv4), minimum/maximum, minLength/maxLength, $ref, oneOf/anyOf/allOf.

Exit Codes

  • 0 — success
  • 1 — route not found (sample command)
  • 2 — spec parse error or system error

🤖 AI 評測

質量較好,能滿足快速建立模擬 API 的需求。文件清晰易懂,功能設計實用,生成的假資料智慧且真實。即時伺服器和靜態檔案兩種模式覆蓋面廣,但缺少示例檔案,上手需要自己準備 API 規範。整體適合開發者使用,文件和功能實現都較為專業。

📊 多維度評分

適應性4.6
規範性4.3
有效性4.5
可靠性4.5
可信度4.4

📁 包含檔案 (3 個)

📄 SKILL.md 2.8 KB
📄 _meta.json 137 B
📄 scripts/generate_mock.py 20.5 KB