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Docker Compose Specification (No version Key)

A Compose Specification file with no top-level version key, condition-based depends_on, healthchecks, and a deploy resource limit. Parsers written against the older schema often require the version key, which is exactly what this fixture separates.

Config testingConfig parsingEditor testing
Preview, first 50 linesyaml
# Compose Specification shape: no top-level `version:` key, which the spec deprecated and modern
# Compose warns about. A parser written against the older schema often *requires* it, so this
# fixture is the one that separates the two generations of tooling.
name: orders-stack

services:
  api:
    image: registry.example.invalid/example-org/orders:1.4.0
    restart: unless-stopped
    ports:
      - "8080:8080"
    environment:
      LOG_LEVEL: info
      CACHE_URL: redis-compatible://cache:6379
    depends_on:
      cache:
        condition: service_healthy
      migrate:
        condition: service_completed_successfully
    healthcheck:
      test: ["CMD", "example-healthcheck", "--port", "8080"]
      interval: 10s
      timeout: 2s
      retries: 3
      start_period: 20s
    networks:
      - backend
    deploy:
      resources:
        limits:
          cpus: "0.50"
          memory: 512M

  cache:
    image: registry.example.invalid/example-org/cache:2.1.0
    healthcheck:
      test: ["CMD", "example-ping"]
      interval: 5s
      retries: 5
    volumes:
      - cache-data:/data
    networks:
      - backend

  migrate:
    image: registry.example.invalid/example-org/orders:1.4.0
    command: ["migrate", "--to", "latest"]
    restart: "no"
    networks:
      - backend
… 58 lines total: download for the full file.

Specifications

Schema
Compose Specification
Has Version Key
false
Services
3
Healthchecks
2
Depends On Conditions
2
Networks
1
Volumes
1

Testing contract

Expected to pass
Scenario
Parse a Compose file that omits the deprecated top-level version key
Expected result
Three services resolve and the api service reports two conditional dependencies: service_healthy on cache and service_completed_successfully on migrate

What is a .yaml file?

YAML (YAML Ain't Markup Language) is a human-readable data-serialization format using indentation, key-value pairs, and lists, and is a superset of JSON. It supports comments, anchors, and multiple documents per file, favoring readability for configuration. Its indentation sensitivity makes it error-prone to hand-edit.

How to use this file

Use an example YAML file to test config parsers, indentation and anchor handling, multi-document streams, and safe-loading to avoid arbitrary object construction.

How to use this file for testing

“Docker Compose Specification (No version Key)” is a deterministic Testaroo fixture for Config testing, Config parsing, Editor testing. TOML, INI, YAML, .env, and dotfile configuration samples with nested sections and typed values, for testing config parsers, loaders, and environment tooling.

Documented properties for this file: schema: Compose Specification. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Pipeline and infrastructure fixtures are inert configuration: steps reference fictional images and scripts, and nothing here executes. Run your linter, schema validator, migrator, or policy engine against them, and expect the deprecated-syntax and intentionally invalid variants to be rejected.

Point your config loader at the file and assert it reads the documented sections and typed values, including any deliberately-tricky nesting or comments.

Code examples

import yaml  # pip install pyyaml

with open("compose-spec-modern.yaml") as f:
    data = yaml.safe_load(f)
print(data)

Generated by generation/pipelines.py. Free for any use, no attribution required, license.

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