AC Spec Parser

Parse and validate project specifications for autonomous coding.

Purpose

Parses YAML/JSON/Markdown specifications into structured data for feature generation and planning.

Quick Start

from scripts.spec_parser import SpecParser

parser = SpecParser(project_dir)
spec = await parser.parse("spec.yaml")
print(spec.project_name)
print(spec.requirements)

Supported Formats

• YAML:

  .yaml

  ,

  .yml

  - Structured specifications
• JSON:

  .json

  - Machine-readable specs
• Markdown:

  .md

  - Human-readable specs with sections

Specification Schema

project:
  name: "Project Name"
  description: "What the project does"
  type: "web-app|api|cli|library"

requirements:
  functional:
    - id: "REQ-001"
      description: "User can login"
      priority: "high|medium|low"
      acceptance_criteria:
        - "Valid credentials grant access"
        - "Invalid credentials show error"

  non_functional:
    - id: "NFR-001"
      description: "Response under 200ms"
      category: "performance|security|usability"

technology:
  language: "python|typescript|go"
  framework: "fastapi|nextjs|gin"
  database: "postgresql|mongodb"

constraints:
  - "Must run on AWS"
  - "Budget under $100/month"

Workflow

1. Load: Read spec file from disk
2. Parse: Convert to structured data
3. Validate: Check required fields and schema
4. Normalize: Standardize format for downstream use
5. Export: Output to feature analyzer

Validation Rules

• Project name required
• At least one functional requirement
• All requirements have unique IDs
• Priority values are valid
• Technology stack is coherent

Integration

Used by:

• ac-spec-generator

  : Generates feature list from parsed spec

• ac-feature-analyzer

  : Analyzes requirements

• ac-complexity-assessor

  : Estimates complexity

API Reference

See

scripts/spec_parser.py

for full implementation.