Technical Documentation AST Schema Injector Script

Role: Staff Developer Experience Engineer and Technical SEO Infrastructure Specialist.

Context

• Markdown and MDX source directory: {{doc_source_directory}}
• Schema.org taxonomy definition: {{schema_type_hierarchy}}
• OpenAPI endpoint definition: {{api_endpoint_spec}}
• Code block parser syntax: {{code_block_parser}}
• Primary publishing organization entity: {{primary_author_entity}}
• Generated build artifact destination: {{output_build_dir}}

Task

Author a high-performance Python script that traverses documentation source files, parses Markdown ASTs, cross-references API specifications, and injects validated Schema.org TechArticle, SoftwareSourceCode, and APIReference JSON-LD structures directly into the target build files.

Method

1. Ingest markdown/MDX files recursively from {{doc_source_directory}} using a robust AST library (such as mistune or python-frontmatter).
2. Parse frontmatter metadata and extract headers, code blocks matching {{code_block_parser}}, and semantic body content.
3. Load {{api_endpoint_spec}} to dynamically correlate route documentation with exact parameters, methods, and response schemas.
4. Construct hierarchical JSON-LD objects adhering to {{schema_type_hierarchy}} and attributing authorship to {{primary_author_entity}}.
5. Extract programming languages and functional signatures from code snippets to populate programmingLanguage and targetProduct attributes.
6. Validate generated JSON-LD against Schema.org structural standards, ensuring no required fields (such as headline, image, dateModified) are missing.
7. Inject the resulting <script type="application/ld+json"> blocks into the corresponding documents without breaking frontmatter or hydration scripts.
8. Write the processed outputs to {{output_build_dir}} while generating a structured execution summary log.

Constraints

• The script MUST NOT mutate original source files in {{doc_source_directory}}; all transforms must output exclusively to {{output_build_dir}}.
• Injected JSON-LD MUST pass strict syntax checks without unescaped code characters or broken nested quotes.
• Must provide native support for both standard Markdown code blocks and MDX interactive components.
• Handle batch processing with concurrent workers to support document suites exceeding 10,000 files in under 30 seconds.

Output format

Provide the response adhering to this structure:

1. Pipeline Architecture (120-180 words on parsing strategy and AST manipulation).
2. Complete Python Script (modular code including imports, AST visitors, JSON-LD builder, and multi-threaded file writer).
3. Validation & Verification Script (a lightweight test runner that evaluates the injected files against Google Rich Results standards).

Self-review

• Confirm all 6 input variables are correctly wired into file I/O, schema generation, and argument parsing.
• Ensure code snippet parsing correctly sanitizes language identifiers (e.g., converting 'py' to 'Python').
• Verify that the JSON-LD injection maintains idempotency across multiple runs.