more discovery

discovery/SERVICE_SEGREGATION_RESPONSIBILITIES.md

@@ -0,0 +1,93 @@
+## Service Segregation and Responsibilities
+
+Your system can be broken down into six core services, each with distinct responsibilities, chosen technologies, and integration points. This microservices architecture allows for independent development, scaling, and maintenance while ensuring the system remains cohesive.
+
+### 1. **Blockchain Service**
+- **Responsibility**:
+    - Manage all interactions with the blockchain (Hyperledger Fabric).
+    - Store feedback, legislative drafts, edits, and verification data immutably.
+    - Enforce access control and data privacy via channels.
+- **Language**: Go (for chaincode and Fabric SDK).
+- **Why Go?**: Hyperledger Fabric’s chaincode is typically written in Go, and the Fabric SDK for Go is mature and well-supported.
+- **Integration**:
+    - Exposes gRPC APIs for other services to submit and retrieve data.
+    - Uses off-chain storage (e.g., IPFS or a database) for large data, storing only hashes on-chain.
+
+### 2. **AI Service**
+- **Responsibility**:
+    - Analyze feedback (categorization, sentiment analysis, clustering).
+    - Generate initial legislative text based on feedback.
+    - Identify consensus areas for legislative focus.
+- **Language**: Python (with libraries like Hugging Face Transformers, scikit-learn).
+- **Why Python?**: Python dominates in AI/ML with mature, easy-to-use libraries for NLP and data analysis.
+- **Integration**:
+    - Containerized with Docker for scalability.
+    - Exposes gRPC APIs to receive feedback from the Blockchain Service and return analysis or generated text.
+    - Can be scaled horizontally to handle large feedback volumes.
+
+### 3. **ZKP Service**
+- **Responsibility**:
+    - Generate and verify zero-knowledge proofs for anonymous feedback and identity verification.
+- **Languages**:
+    - **Client-Side (JavaScript)**: For proof generation using `snarkjs` (runs in the browser).
+    - **Server-Side (Go)**: For proof verification using `gnark`.
+- **Why This Split?**: Proof generation is computationally intensive and best handled client-side to avoid server overload. Verification is lightweight and can be done server-side.
+- **Integration**:
+    - The Frontend Service handles proof generation and sends proofs to the ZKP Service for verification.
+    - The ZKP Service communicates with the Blockchain Service to store verified proofs.
+
+### 4. **Collaboration Service**
+- **Responsibility**:
+    - Manage git-like version control for legislative drafts.
+    - Track changes, merges, and contributions.
+- **Language**: Go (using `go-git` for version control logic).
+- **Why Go?**: Go is efficient for backend logic, and `go-git` provides a pure Go implementation of Git, avoiding external dependencies.
+- **Integration**:
+    - Exposes gRPC APIs for the Frontend Service to interact with (e.g., commit, merge, diff).
+    - Stores commit hashes and metadata on the blockchain for transparency.
+
+### 5. **Frontend Service**
+- **Responsibility**:
+    - Provide a user-friendly interface for feedback submission, editing, and tracking.
+    - Handle client-side cryptographic operations (e.g., ZKP generation).
+- **Languages**:
+    - **Elm**: For the core UI logic (secure, functional, and maintainable).
+    - **JavaScript**: For cryptographic tasks (e.g., ZKP generation via `snarkjs`).
+- **Why Elm and JavaScript?**: Elm ensures a robust, type-safe UI, while JavaScript handles browser-based cryptography.
+- **Integration**:
+    - Communicates with backend services via gRPC-Web or a proxy.
+    - Uses WebSockets or polling for real-time updates (e.g., live legislative tracking).
+
+### 6. **Integration Service**
+- **Responsibility**:
+    - Connect the platform to existing government systems (e.g., voter databases, legislative archives).
+    - Handle data transformation, authentication, and synchronization.
+- **Language**: Go (for consistency with other backend services).
+- **Why Go?**: Go’s strong standard library for HTTP, concurrency, and data handling makes it ideal for integration tasks.
+- **Integration**:
+    - Exposes REST or gRPC APIs to external systems.
+    - Uses middleware (e.g., ETL tools) for data transformation between systems.
+
+---
+
+## Project Structure
+
+To manage these services effectively, organize the project as a monorepo with clear directories for each service. This simplifies dependency management, code sharing, and deployment.
+
+### Monorepo Layout
+```
+legislative-platform/
+├── blockchain-service/       # Go: Chaincode and Fabric interactions
+├── ai-service/               # Python: AI analysis and text generation
+├── zkp-service/              # Go: ZKP verification
+├── collaboration-service/    # Go: Git-like collaboration logic
+├── frontend-service/         # Elm + JS: User interface and client-side crypto
+├── integration-service/      # Go: External system integration
+├── shared/                   # Common libraries, protos, etc.
+├── docs/                     # Documentation
+└── deploy/                   # Kubernetes manifests, Dockerfiles
+```
+
+- **Shared Directory**: Contains Protocol Buffer definitions (`.proto` files) for gRPC services, shared utilities, and configuration files.
+- **Docs**: Centralize all documentation, including architecture diagrams, API specs, and setup guides.
+- **Deploy**: Store Dockerfiles and Kubernetes manifests for each service to streamline deployment.