Roadmap & Vision

Product-FARM is designed to become the central nervous system for product configuration across your entire organization. Here’s where we are and where we’re heading.

Current Capabilities (v1.0)

Core Rule Engine

• ✅ JSON Logic expression support
• ✅ Tiered compilation (AST + Bytecode VM)
• ✅ Sub-microsecond evaluation latency
• ✅ DAG-based parallel execution
• ✅ Full type system with custom datatypes

Product Management

• ✅ Product lifecycle (Draft → Active → Discontinued)
• ✅ Version control for products
• ✅ Component-based organization
• ✅ Abstract and concrete attributes

APIs

• ✅ REST API (Axum framework)
• ✅ gRPC API (Tonic framework)
• ✅ Batch evaluation support
• ✅ Health check and metrics endpoints

User Interface

• ✅ Visual rule builder
• ✅ DAG visualization canvas
• ✅ Real-time rule simulation
• ✅ AI-powered assistant

Data Storage

• ✅ DGraph graph database
• ✅ LRU caching layer
• ✅ File-based configuration backup

Planned Features

Phase 1: Enterprise Data Import/Export

Mass Import from Excel/CSV

Import entire product configurations from spreadsheets—perfect for migrating existing rule systems or bulk updates.

flowchart LR
    subgraph Workflow["📥 EXCEL IMPORT WORKFLOW"]
        direction LR
        S1["📤 Upload<br/>Excel"]
        S2["🔍 Parse &<br/>Preview"]
        S3["✅ Validate<br/>Rules"]
        S4["💾 Import<br/>to System"]

        S1 --> S2 --> S3 --> S4
    end

    subgraph Formats["📄 Supported Formats"]
        F1[".xlsx - Excel 2007+"]
        F2[".csv - Comma-separated"]
        F3[".json - Structured JSON"]
        F4[".yaml - YAML config"]
    end

    style Workflow fill:#0f172a,stroke:#3b82f6,color:#fff
    style Formats fill:#1e3a5f,stroke:#3b82f6,color:#fff
    style S1 fill:#6366f1,stroke:#8b5cf6,color:#fff
    style S2 fill:#1e3a5f,stroke:#3b82f6,color:#fff
    style S3 fill:#065f46,stroke:#10b981,color:#fff
    style S4 fill:#065f46,stroke:#10b981,color:#fff

Example Excel Format:

Capabilities:

• Drag-and-drop file upload
• Real-time validation preview
• Conflict detection and resolution
• Partial import support
• Rollback on failure

Export to Multiple Formats

Export product configurations for backup, migration, or documentation.

# Export entire product
GET /api/products/{id}/export?format=excel

# Export specific components
GET /api/products/{id}/export?format=json&components=premium,risk

# Export for documentation
GET /api/products/{id}/export?format=markdown

Export Formats:

• Excel (.xlsx) with multiple sheets
• JSON (complete or filtered)
• YAML (human-readable)
• Markdown (documentation)
• PDF (printable reports)

Phase 2: Microservices Ecosystem

Product-FARM as Central Hub

Transform Product-FARM into the source of truth for all product logic across your microservices ecosystem.

flowchart TB
    subgraph PF["🎯 PRODUCT-FARM (Source of Truth)"]
        PFC["📦 Products<br/>⚡ Rules<br/>⚙️ Configurations"]
    end

    subgraph Services["🔧 MICROSERVICES"]
        direction LR
        PS["💰 PRICING<br/>SERVICE<br/><small>pricing, discount, tax</small>"]
        US["📋 UNDERWRITING<br/>SERVICE<br/><small>underwriting, risk, eligibility</small>"]
        CS["📝 CLAIMS<br/>SERVICE<br/><small>claims, settlement, validation</small>"]
    end

    subgraph Channels["🌐 CONSUMER CHANNELS"]
        direction LR
        WP["Web Portal"]
        MA["Mobile App"]
        PA["Partner API"]
        AG["Agents"]
    end

    PF --> PS
    PF --> US
    PF --> CS
    PS --> Channels
    US --> Channels
    CS --> Channels

    style PF fill:#6366f1,stroke:#8b5cf6,color:#fff
    style Services fill:#1e3a5f,stroke:#3b82f6,color:#fff
    style Channels fill:#065f46,stroke:#10b981,color:#fff

Service Integration Patterns

SDK Libraries

// Rust SDK
use product_farm_sdk::Client;

let client = Client::new("http://product-farm:8081");
let result = client.evaluate("insurance-premium-v1", "quote", inputs).await?;

// TypeScript SDK
import { ProductFarmClient } from '@product-farm/sdk';

const client = new ProductFarmClient('http://product-farm:8081');
const result = await client.evaluate('insurance-premium-v1', 'quote', inputs);

# Python SDK
from product_farm import Client

client = Client("http://product-farm:8081")
result = client.evaluate("insurance-premium-v1", "quote", inputs)

gRPC Streaming

// High-throughput batch processing
service ProductFarmService {
  // Bidirectional streaming for batch evaluation
  rpc EvaluateBatch(stream EvaluateRequest) returns (stream EvaluateResponse);

  // Server-sent events for rule updates
  rpc WatchRuleChanges(WatchRequest) returns (stream RuleChangeEvent);
}

Phase 3: Event-Driven Architecture

Webhooks & Notifications

Get notified when rules change, products are deployed, or evaluations fail.

flowchart LR
    subgraph Events["📡 EVENTS"]
        direction TB
        E1["product.created"]
        E2["product.updated"]
        E3["product.activated"]
        E4["product.deprecated"]
        E5["rule.created"]
        E6["rule.updated"]
        E7["evaluation.failed"]
        E8["evaluation.slow"]
    end

    subgraph Webhooks["🔔 WEBHOOK ENDPOINTS"]
        W1["Slack"]
        W2["Teams"]
        W3["PagerDuty"]
        W4["Custom HTTP"]
    end

    subgraph Queues["📬 MESSAGE QUEUES"]
        Q1["Kafka"]
        Q2["RabbitMQ"]
        Q3["AWS SQS"]
    end

    Events --> Webhooks
    Events --> Queues

    style Events fill:#6366f1,stroke:#8b5cf6,color:#fff
    style Webhooks fill:#065f46,stroke:#10b981,color:#fff
    style Queues fill:#1e3a5f,stroke:#3b82f6,color:#fff

Webhook Configuration

{
  "webhooks": [
    {
      "url": "https://slack.com/api/webhooks/xyz",
      "events": ["product.activated", "evaluation.failed"],
      "secret": "whsec_...",
      "retry_policy": {
        "max_retries": 3,
        "backoff": "exponential"
      }
    }
  ]
}

Phase 4: Advanced AI Capabilities

Natural Language Rule Creation

Describe rules in plain English; AI converts them to JSON Logic.

sequenceDiagram
    participant U as 👤 User
    participant AI as 🤖 AI Assistant

    U->>AI: Create a discount rule that gives 15% off<br/>for customers who have been with us<br/>more than 3 years AND have made<br/>at least 5 purchases this year

    AI->>AI: Parse natural language

    AI->>U: I've created the loyalty discount rule:

    Note right of AI: Name: loyalty_discount<br/>Type: CALCULATION<br/><br/>Expression:<br/>IF (years_as_customer > 3<br/>AND annual_purchases >= 5)<br/>THEN price * 0.85<br/>ELSE price<br/><br/>Inputs: years_as_customer,<br/>annual_purchases, price<br/>Output: discounted_price

    U->>AI: [Create Rule] [Modify] [Test]

Intelligent Optimization

AI analyzes your rules and suggests optimizations.

flowchart TB
    subgraph Analysis["🔍 AI OPTIMIZATION SUGGESTIONS"]
        direction TB
        subgraph Header["Analysis of: insurance-premium-v1"]
            H1["⚡ Performance Issues Found"]
        end

        subgraph Issues["Issues Detected"]
            I1["1️⃣ <b>calculate_complex_factor</b><br/>50K evals, only 3 distinct values<br/>→ Convert to lookup table (3x faster)"]
            I2["2️⃣ <b>validate_age + check_age_range</b><br/>Redundant rules detected<br/>→ Merge into single rule"]
            I3["3️⃣ <b>DAG Level 4</b><br/>Single rule blocking parallelism<br/>→ Restructure for parallel execution"]
        end

        subgraph Result["📈 Estimated Improvement"]
            R1["2.1x faster evaluation"]
        end

        Actions["[Apply All] [Review Each] [Dismiss]"]
    end

    style Analysis fill:#0f172a,stroke:#3b82f6,color:#fff
    style Header fill:#6366f1,stroke:#8b5cf6,color:#fff
    style Issues fill:#4a1a1a,stroke:#ef4444,color:#fff
    style Result fill:#065f46,stroke:#10b981,color:#fff

Rule Testing & Simulation

AI generates test cases and validates rule behavior.

flowchart TB
    subgraph TestGen["🧪 AI TEST CASE GENERATION"]
        direction TB
        Request["👤 Generate test cases for the premium calculation rules"]

        subgraph Generated["🤖 AI Generated 15 Test Cases"]
            direction LR
            subgraph Edge["🔴 Edge Cases (5)"]
                E1["Age = 0 (min)"]
                E2["Age = 150 (max)"]
                E3["Coverage = 0"]
                E4["All factors max"]
                E5["All factors min"]
            end

            subgraph Boundary["🟡 Boundary Conditions (5)"]
                B1["Age = 40"]
                B2["Age = 41"]
                B3["Age = 60"]
                B4["Age = 61"]
                B5["Coverage = 1M"]
            end

            subgraph Scenarios["🟢 Representative (5)"]
                S1["Young non-smoker"]
                S2["Middle-aged occ."]
                S3["Senior regular"]
                S4["Average profile"]
                S5["High-risk"]
            end
        end

        Actions["[Run All Tests] [Export as JSON] [Add to CI/CD]"]
    end

    Request --> Generated --> Actions

    style TestGen fill:#0f172a,stroke:#3b82f6,color:#fff
    style Edge fill:#4a1a1a,stroke:#ef4444,color:#fff
    style Boundary fill:#422006,stroke:#f59e0b,color:#fff
    style Scenarios fill:#065f46,stroke:#10b981,color:#fff

Phase 5: Enterprise Features

Multi-Tenant Support

Isolate products and rules by tenant for SaaS deployments.

flowchart TB
    subgraph Platform["🏢 PRODUCT-FARM PLATFORM"]
        direction TB

        subgraph Tenants["Multi-Tenant Architecture"]
            direction LR
            subgraph TA["🔹 TENANT A"]
                TA1["Products: 5<br/>Rules: 45<br/>Users: 10<br/><b>Plan: Basic</b>"]
            end
            subgraph TB["🔸 TENANT B"]
                TB1["Products: 12<br/>Rules: 120<br/>Users: 50<br/><b>Plan: Pro</b>"]
            end
            subgraph TC["🔹 TENANT C"]
                TC1["Products: 3<br/>Rules: 28<br/>Users: 5<br/><b>Plan: Basic</b>"]
            end
        end

        subgraph Features["Platform Features"]
            direction LR
            F1["🔒 Isolation: Complete data separation"]
            F2["💰 Billing: Per-evaluation metering"]
            F3["📊 Limits: Configurable per tenant"]
        end
    end

    style Platform fill:#0f172a,stroke:#3b82f6,color:#fff
    style TA fill:#1e3a5f,stroke:#3b82f6,color:#fff
    style TB fill:#6366f1,stroke:#8b5cf6,color:#fff
    style TC fill:#1e3a5f,stroke:#3b82f6,color:#fff
    style Features fill:#065f46,stroke:#10b981,color:#fff

Role-Based Access Control (RBAC)

Fine-grained permissions for teams and users.

Audit & Compliance

Complete audit trail for regulatory compliance.

{
  "audit_events": [
    {
      "event_id": "evt_82734",
      "timestamp": "2024-01-15T14:32:00Z",
      "actor": {
        "user_id": "usr_456",
        "email": "jane.smith@company.com",
        "ip_address": "192.168.1.100"
      },
      "action": "RULE_UPDATED",
      "resource": {
        "type": "rule",
        "id": "calculate_premium",
        "product_id": "insurance-premium-v1"
      },
      "changes": {
        "field": "expression",
        "old_value": "base * 1.2",
        "new_value": "base * 1.25"
      },
      "metadata": {
        "reason": "Q1 pricing adjustment",
        "ticket": "JIRA-4521"
      }
    }
  ]
}

Long-Term Vision

The Product Platform

Product-FARM evolves into a complete product platform where:

flowchart TB
    subgraph Vision["🎯 THE PRODUCT PLATFORM VISION"]
        direction TB

        subgraph Comparison["Today vs Tomorrow"]
            direction LR
            subgraph Today["❌ Today's State"]
                T1["Rules in code"]
                T2["Logic in spreadsheets"]
                T3["Inconsistent calculations"]
                T4["Slow changes"]
                T5["No audit trail"]
                T6["Developer bottleneck"]
            end
            subgraph Tomorrow["✅ Tomorrow's Vision"]
                V1["Rules in Product-FARM"]
                V2["Visual rule builder"]
                V3["Single source of truth"]
                V4["Real-time updates"]
                V5["Complete compliance"]
                V6["Business self-service"]
            end
        end

        subgraph Capabilities["The Product Platform Serves As"]
            direction LR
            C1["📦 PRODUCT CATALOG<br/><small>Central registry</small>"]
            C2["🧮 CALCULATION ENGINE<br/><small>Sub-µs latency</small>"]
            C3["📋 CONFIGURATION STORE<br/><small>All configs</small>"]
            C4["🔍 AUDIT SYSTEM<br/><small>Every change tracked</small>"]
            C5["🤖 AI ASSISTANT<br/><small>Create & optimize</small>"]
            C6["🔄 INTEGRATION HUB<br/><small>REST, gRPC, events</small>"]
        end
    end

    Today -.->|Transform| Tomorrow

    style Vision fill:#0f172a,stroke:#3b82f6,color:#fff
    style Today fill:#4a1a1a,stroke:#ef4444,color:#fff
    style Tomorrow fill:#065f46,stroke:#10b981,color:#fff
    style Capabilities fill:#1e3a5f,stroke:#3b82f6,color:#fff

Impact Metrics

When fully realized, the Product Platform delivers:

Contributing to the Roadmap

Product-FARM is open source. We welcome contributions and feedback!

How to Contribute

1. Feature Requests: Open an issue on GitHub
2. Bug Reports: Include reproduction steps
3. Code Contributions: Submit a pull request
4. Documentation: Help improve our docs

Community

• GitHub: github.com/ayushmaanbhav/product-farm
• Discussions: GitHub Discussions for questions and ideas

Timeline

Get Started Today

Don’t wait for future features—start using Product-FARM now!