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Ticket: Automated Web Service for Coq-Based OpenAPI Generation and Deployment
Objective Develop a web service that automates the deployment and consumption of Coq-based formal systems. The service will:
Generate a static site that serves as an interactive reference for the Coq structures.
Provide an OpenAPI-compatible interface for AI and programmatic consumption.
Compile Coq to Rust, OCaml, and WASM for seamless integration into workflows.
Serve as both a workflow generator and a deployable utility.
Requirements
Parse Coq files to extract:
Definitions, theorems, proofs, and dependencies.
Semantic annotations for API generation.
Generate a visually appealing and user-friendly documentation site.
Include interactive theorem visualizations and links between dependencies.
Use a framework like Docusaurus or Next.js for static site generation.
Map Coq structures to OpenAPI components:
Types: Represent Coq types and data structures.
Endpoints: Define workflows as RESTful API methods.
Examples: Automatically generate examples from Coq tests or proof terms.
Generate an OpenAPI spec (openapi.json or openapi.yaml) to:
Allow AI models and workflows to query Coq constructs.
Enable easy integration with clients (Swagger, Postman, etc.).
Input: On every Git commit, process .v Coq files in the repository.
Compilation Targets:
Rust: Leverage tools like coq2rust or develop a custom backend.
OCaml: Use Coq’s existing OCaml extraction mechanism.
WASM: Convert Coq-extracted OCaml/Rust to WebAssembly for browser and runtime environments.
Build Tooling:
Use Docker for reproducible builds.
Use GitHub Actions/CI pipelines for automated workflows.
Allow the service to define and manage workflows:
Consume Coq APIs to trigger downstream processes (e.g., proof validation, theorem search).
Provide automation tools for generating, validating, and packaging workflows.
Include support for containerized execution (e.g., Docker).
Automatically deploy the service on commit:
Use Kubernetes or Docker Compose for hosting.
Ensure scalable hosting with serverless options (e.g., AWS Lambda, Vercel).
Provide public and private endpoints for user consumption.
Integrate with CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
Provide command-line tools for developers to:
Validate Coq files locally.
Generate previews of the static site.
Test API functionality.
Document the workflow and architecture using the static site generator.
Deliverables
Automated Coq file parsing and API generation.
Compiled Coq binaries (Rust, OCaml, WASM).
OpenAPI specification for external consumption.
Interactive static documentation site.
Deployment scripts and pipelines for automated updates.
CLI tool for local testing and development.
A reference workflow that uses the service for proof validation.
Technical Stack
Backend: Python (FastAPI) or Rust (Actix Web).
Frontend: React/Next.js or Docusaurus.
CI/CD: GitHub Actions, Docker, Kubernetes.
Compilation: Coq extraction tools (OCaml/Rust).
API Spec: OpenAPI v3.0.
Acceptance Criteria
Automated deployment occurs on every commit.
OpenAPI spec is dynamically generated and consumable by AI tools.
Coq-to-{Rust/OCaml/WASM} compilation is functional and integrated.
The static site is visually engaging and demonstrates Coq structures clearly.
Workflows can use the service as both an API and a utility.
Let me know if you'd like further refinements!
The text was updated successfully, but these errors were encountered:
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Ticket: Automated Web Service for Coq-Based OpenAPI Generation and Deployment
Objective
Develop a web service that automates the deployment and consumption of Coq-based formal systems. The service will:
Generate a static site that serves as an interactive reference for the Coq structures.
Provide an OpenAPI-compatible interface for AI and programmatic consumption.
Compile Coq to Rust, OCaml, and WASM for seamless integration into workflows.
Serve as both a workflow generator and a deployable utility.
Requirements
Parse Coq files to extract:
Definitions, theorems, proofs, and dependencies.
Semantic annotations for API generation.
Generate a visually appealing and user-friendly documentation site.
Include interactive theorem visualizations and links between dependencies.
Use a framework like Docusaurus or Next.js for static site generation.
Map Coq structures to OpenAPI components:
Types: Represent Coq types and data structures.
Endpoints: Define workflows as RESTful API methods.
Examples: Automatically generate examples from Coq tests or proof terms.
Generate an OpenAPI spec (openapi.json or openapi.yaml) to:
Allow AI models and workflows to query Coq constructs.
Enable easy integration with clients (Swagger, Postman, etc.).
Input: On every Git commit, process .v Coq files in the repository.
Compilation Targets:
Rust: Leverage tools like coq2rust or develop a custom backend.
OCaml: Use Coq’s existing OCaml extraction mechanism.
WASM: Convert Coq-extracted OCaml/Rust to WebAssembly for browser and runtime environments.
Build Tooling:
Use Docker for reproducible builds.
Use GitHub Actions/CI pipelines for automated workflows.
Allow the service to define and manage workflows:
Consume Coq APIs to trigger downstream processes (e.g., proof validation, theorem search).
Provide automation tools for generating, validating, and packaging workflows.
Include support for containerized execution (e.g., Docker).
Automatically deploy the service on commit:
Use Kubernetes or Docker Compose for hosting.
Ensure scalable hosting with serverless options (e.g., AWS Lambda, Vercel).
Provide public and private endpoints for user consumption.
Integrate with CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
Provide command-line tools for developers to:
Validate Coq files locally.
Generate previews of the static site.
Test API functionality.
Document the workflow and architecture using the static site generator.
Deliverables
Automated Coq file parsing and API generation.
Compiled Coq binaries (Rust, OCaml, WASM).
OpenAPI specification for external consumption.
Interactive static documentation site.
Deployment scripts and pipelines for automated updates.
CLI tool for local testing and development.
A reference workflow that uses the service for proof validation.
Technical Stack
Backend: Python (FastAPI) or Rust (Actix Web).
Frontend: React/Next.js or Docusaurus.
CI/CD: GitHub Actions, Docker, Kubernetes.
Compilation: Coq extraction tools (OCaml/Rust).
API Spec: OpenAPI v3.0.
Acceptance Criteria
Automated deployment occurs on every commit.
OpenAPI spec is dynamically generated and consumable by AI tools.
Coq-to-{Rust/OCaml/WASM} compilation is functional and integrated.
The static site is visually engaging and demonstrates Coq structures clearly.
Workflows can use the service as both an API and a utility.
Let me know if you'd like further refinements!
The text was updated successfully, but these errors were encountered: