Implement modern advanced orchestration stack profile and protected API

pipeline/README.md

@@ -2,11 +2,14 @@
 
 A production-ready pipeline automation system built with:
 
-- **Apache Airflow** - Orchestration & scheduling
+- **Apache Airflow / Temporal** - Orchestration & scheduling
 - **FastAPI** - Pipeline execution engine
 - **Redis** - State management, locks, caching
 - **Celery** - Distributed task queue
 - **Kafka** - Event-driven execution streaming
+- **Kubernetes Jobs** - Isolated execution runtime
+- **Ray** - Distributed compute engine
+- **MinIO/Object Storage** - Artifact persistence
 - **PostgreSQL** - Persistence
 - **AI Safety Module** - Failure prediction & anomaly handling
 - **Elasticsearch** - Execution log indexing, fast filtering, analytics
@@ -397,3 +400,13 @@ MIT License
 cd pipeline/backend
 celery -A core.tasks.celery_app worker --loglevel=info --concurrency=4
 ```
+
+
+### Advanced Orchestration Stack API
+
+| Method | Endpoint | Description |
+|--------|----------|-------------|
+| GET | `/api/advanced-stack/architecture` | Returns the composed stack profile (JWT+RBAC protected) |
+| POST | `/api/advanced-stack/executions` | Creates an orchestration envelope for Airflow/Temporal + K8s + Ray + Kafka |
+
+Security model uses JWT bearer auth with RBAC roles (`admin`, `operator`, `viewer`) and pluggable secrets providers (`env`, `aws`, `vault`).

pipeline/backend/api/routes/__init__.py

@@ -1,5 +1,12 @@
-"""API Routes module initialization."""
-from api.routes import pipelines, executions, health, monitoring, ai_automation, microservices
 """API route module exports."""
 
-from api.routes import ai_automation, executions, health, model_infra, monitoring, pipelines
+from api.routes import (
+    advanced_stack,
+    ai_automation,
+    executions,
+    health,
+    microservices,
+    model_infra,
+    monitoring,
+    pipelines,
+)

pipeline/backend/api/routes/advanced_stack.py

@@ -0,0 +1,35 @@
+"""Advanced orchestration stack endpoints."""
+from __future__ import annotations
+
+from typing import Any, Dict
+
+from fastapi import APIRouter, Depends
+from pydantic import BaseModel, Field
+
+from api.security import AuthContext, require_roles
+from core.modern_stack import ModernOrchestrationStack
+
+router = APIRouter(prefix="/advanced-stack", tags=["advanced-stack"])
+stack = ModernOrchestrationStack()
+
+
+class StackExecutionRequest(BaseModel):
+    pipeline_id: str = Field(..., description="Pipeline identifier to execute")
+    payload: Dict[str, Any] = Field(default_factory=dict, description="Execution payload")
+
+
+@router.get("/architecture")
+async def get_stack_architecture(
+    _: AuthContext = Depends(require_roles("admin", "operator", "viewer")),
+) -> Dict[str, Any]:
+    """Return current high-end orchestration stack architecture."""
+    return stack.architecture()
+
+
+@router.post("/executions")
+async def submit_stack_execution(
+    request: StackExecutionRequest,
+    _: AuthContext = Depends(require_roles("admin", "operator")),
+) -> Dict[str, Any]:
+    """Submit an execution envelope for orchestration connectors."""
+    return stack.submit_execution(request.pipeline_id, request.payload)

pipeline/backend/api/security.py

@@ -0,0 +1,103 @@
+"""JWT + RBAC security helpers for advanced orchestration routes."""
+from __future__ import annotations
+
+import base64
+import hashlib
+import hmac
+import json
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Any, Dict, List
+
+from fastapi import Depends, HTTPException, status
+from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
+
+from config import settings
+
+bearer_scheme = HTTPBearer(auto_error=False)
+
+
+@dataclass
+class AuthContext:
+    """Authenticated identity context extracted from a JWT token."""
+
+    subject: str
+    roles: List[str]
+    claims: Dict[str, Any]
+
+
+def _b64url_decode(data: str) -> bytes:
+    padding = "=" * (-len(data) % 4)
+    return base64.urlsafe_b64decode(data + padding)
+
+
+def _decode_hs256_jwt(token: str, secret: str) -> Dict[str, Any]:
+    """Decode and verify a compact JWT token signed with HS256."""
+    try:
+        header_segment, payload_segment, signature_segment = token.split(".")
+    except ValueError as exc:
+        raise HTTPException(status_code=401, detail="Malformed JWT token") from exc
+
+    signing_input = f"{header_segment}.{payload_segment}".encode("utf-8")
+    expected_signature = hmac.new(
+        secret.encode("utf-8"), signing_input, hashlib.sha256
+    ).digest()
+    supplied_signature = _b64url_decode(signature_segment)
+
+    if not hmac.compare_digest(expected_signature, supplied_signature):
+        raise HTTPException(status_code=401, detail="Invalid JWT signature")
+
+    header = json.loads(_b64url_decode(header_segment).decode("utf-8"))
+    if header.get("alg") != "HS256":
+        raise HTTPException(status_code=401, detail="Unsupported JWT algorithm")
+
+    payload = json.loads(_b64url_decode(payload_segment).decode("utf-8"))
+    exp = payload.get("exp")
+    if exp is not None:
+        expires_at = datetime.fromtimestamp(float(exp), tz=timezone.utc)
+        if datetime.now(tz=timezone.utc) >= expires_at:
+            raise HTTPException(status_code=401, detail="JWT token is expired")
+
+    return payload
+
+
+async def get_auth_context(
+    credentials: HTTPAuthorizationCredentials = Depends(bearer_scheme),
+) -> AuthContext:
+    """Extract JWT identity and roles from Authorization bearer token."""
+    if not settings.JWT_SECRET:
+        raise HTTPException(
+            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
+            detail="JWT security is not configured",
+        )
+
+    if credentials is None or not credentials.credentials:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Missing bearer token",
+        )
+
+    claims = _decode_hs256_jwt(credentials.credentials, settings.JWT_SECRET)
+    subject = claims.get("sub")
+    roles = claims.get("roles") or []
+
+    if not subject:
+        raise HTTPException(status_code=401, detail="JWT subject is required")
+    if not isinstance(roles, list):
+        raise HTTPException(status_code=401, detail="JWT roles claim must be a list")
+
+    return AuthContext(subject=subject, roles=roles, claims=claims)
+
+
+def require_roles(*required_roles: str):
+    """Dependency factory enforcing at least one RBAC role."""
+
+    async def _role_guard(auth: AuthContext = Depends(get_auth_context)) -> AuthContext:
+        if required_roles and not any(role in auth.roles for role in required_roles):
+            raise HTTPException(
+                status_code=status.HTTP_403_FORBIDDEN,
+                detail=f"Requires one of roles: {', '.join(required_roles)}",
+            )
+        return auth
+
+    return _role_guard

pipeline/backend/config.py

@@ -138,6 +138,35 @@ class Settings(BaseSettings):
     KAFKA_ENABLED: bool = False
     KAFKA_BOOTSTRAP_SERVERS: str = "localhost:9092"
     KAFKA_EXECUTION_TOPIC: str = "pipeline.executions"
+
+    # ===================
+    # Modern Orchestration Stack
+    # ===================
+    ORCHESTRATION_ENGINE: str = "temporal"  # temporal | airflow
+    TEMPORAL_ENABLED: bool = True
+    TEMPORAL_NAMESPACE: str = "default"
+    TEMPORAL_TASK_QUEUE: str = "flexiroaster-orchestration"
+    TEMPORAL_ADDRESS: str = "localhost:7233"
+
+    KUBERNETES_NAMESPACE: str = "flexiroaster"
+    KUBERNETES_JOB_IMAGE: str = "python:3.11-slim"
+    KUBERNETES_SERVICE_ACCOUNT: str = "pipeline-runner"
+
+    RAY_ENABLED: bool = True
+    RAY_DASHBOARD_URL: str = "http://localhost:8265"
+    RAY_JOB_ENTRYPOINT: str = "python -m worker"
+
+    OBJECT_STORAGE_ENABLED: bool = True
+    OBJECT_STORAGE_BUCKET: str = "pipeline-artifacts"
+    OBJECT_STORAGE_ENDPOINT: str = "http://localhost:9000"
+    OBJECT_STORAGE_ACCESS_KEY: str = "minio"
+    OBJECT_STORAGE_SECRET_KEY: str = "minio123"
+
+    JWT_SECRET: str = ""
+    JWT_ISSUER: str = "flexiroaster"
+    JWT_AUDIENCE: str = "flexiroaster-api"
+
+    SECRETS_PROVIDER: str = "env"  # env | aws | vault
 
     class Config:
         env_file = ".env"

pipeline/backend/core/modern_stack.py

@@ -0,0 +1,146 @@
+"""Modern advanced orchestration stack primitives.
+
+Implements a configurable orchestration profile that combines:
+- FastAPI API layer
+- Airflow/Temporal orchestrators
+- Kafka eventing
+- Kubernetes jobs for execution
+- Ray for distributed compute
+- PostgreSQL + object storage persistence
+- Prometheus/Grafana/ELK observability
+- JWT + RBAC + secrets manager security
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Any, Dict, List
+from uuid import uuid4
+
+from config import settings
+
+
+@dataclass
+class StackComponent:
+    name: str
+    enabled: bool
+    config: Dict[str, Any]
+
+
+class ModernOrchestrationStack:
+    """Service layer for the high-end orchestration stack."""
+
+    def architecture(self) -> Dict[str, Any]:
+        """Return stack topology and active configuration."""
+        return {
+            "api_layer": StackComponent(
+                name="FastAPI",
+                enabled=True,
+                config={"base_path": settings.API_PREFIX},
+            ).__dict__,
+            "orchestration": StackComponent(
+                name=settings.ORCHESTRATION_ENGINE,
+                enabled=True,
+                config={
+                    "temporal_enabled": settings.TEMPORAL_ENABLED,
+                    "temporal_address": settings.TEMPORAL_ADDRESS,
+                    "namespace": settings.TEMPORAL_NAMESPACE,
+                    "task_queue": settings.TEMPORAL_TASK_QUEUE,
+                },
+            ).__dict__,
+            "event_layer": StackComponent(
+                name="kafka",
+                enabled=settings.KAFKA_ENABLED,
+                config={
+                    "bootstrap_servers": settings.KAFKA_BOOTSTRAP_SERVERS,
+                    "topic": settings.KAFKA_EXECUTION_TOPIC,
+                },
+            ).__dict__,
+            "execution": StackComponent(
+                name="kubernetes-jobs",
+                enabled=True,
+                config={
+                    "namespace": settings.KUBERNETES_NAMESPACE,
+                    "default_image": settings.KUBERNETES_JOB_IMAGE,
+                    "service_account": settings.KUBERNETES_SERVICE_ACCOUNT,
+                },
+            ).__dict__,
+            "distributed_compute": StackComponent(
+                name="ray",
+                enabled=settings.RAY_ENABLED,
+                config={
+                    "dashboard_url": settings.RAY_DASHBOARD_URL,
+                    "entrypoint": settings.RAY_JOB_ENTRYPOINT,
+                },
+            ).__dict__,
+            "storage": {
+                "database": "postgresql",
+                "object_storage": {
+                    "enabled": settings.OBJECT_STORAGE_ENABLED,
+                    "bucket": settings.OBJECT_STORAGE_BUCKET,
+                    "endpoint": settings.OBJECT_STORAGE_ENDPOINT,
+                },
+            },
+            "monitoring": {
+                "metrics": ["prometheus", "grafana"],
+                "logs": ["elasticsearch", "logstash", "kibana"],
+            },
+            "security": {
+                "auth": "jwt",
+                "authorization": "rbac",
+                "secrets_provider": settings.SECRETS_PROVIDER,
+            },
+        }
+
+    def submit_execution(self, pipeline_id: str, payload: Dict[str, Any]) -> Dict[str, Any]:
+        """Create a stack-aware execution command envelope.
+
+        This API intentionally stays transport-agnostic and returns metadata that
+        can be consumed by workers/connectors for Airflow/Temporal/Kubernetes/Ray.
+        """
+        execution_id = f"exec-{uuid4()}"
+        now = datetime.now(tz=timezone.utc).isoformat()
+
+        commands: List[Dict[str, Any]] = [
+            {
+                "layer": "orchestration",
+                "engine": settings.ORCHESTRATION_ENGINE,
+                "action": "start_workflow",
+            },
+            {
+                "layer": "execution",
+                "engine": "kubernetes-jobs",
+                "action": "submit_job",
+                "namespace": settings.KUBERNETES_NAMESPACE,
+                "image": settings.KUBERNETES_JOB_IMAGE,
+            },
+        ]
+
+        if settings.RAY_ENABLED:
+            commands.append(
+                {
+                    "layer": "distributed_compute",
+                    "engine": "ray",
+                    "action": "submit_ray_job",
+                    "dashboard": settings.RAY_DASHBOARD_URL,
+                }
+            )
+
+        if settings.KAFKA_ENABLED:
+            commands.append(
+                {
+                    "layer": "event_layer",
+                    "engine": "kafka",
+                    "action": "publish_event",
+                    "topic": settings.KAFKA_EXECUTION_TOPIC,
+                }
+            )
+
+        return {
+            "execution_id": execution_id,
+            "pipeline_id": pipeline_id,
+            "submitted_at": now,
+            "status": "accepted",
+            "commands": commands,
+            "payload": payload,
+        }

pipeline/backend/main.py

@@ -17,9 +17,16 @@
 from db import create_tables
 from core.redis_state import redis_state_manager
 from core.executor import pipeline_executor
-from api.routes import pipelines, executions, health, monitoring, ai_automation, microservices
-from api.routes import ai_automation, executions, health, model_infra, monitoring, pipelines
-from api.routes import pipelines, executions, health, monitoring, ai_automation
+from api.routes import (
+    advanced_stack,
+    ai_automation,
+    executions,
+    health,
+    microservices,
+    model_infra,
+    monitoring,
+    pipelines,
+)
 from core.elasticsearch_client import elasticsearch_manager
 from observability import setup_observability
 
@@ -196,6 +203,7 @@ async def root():
 app.include_router(ai_automation.router, prefix=settings.API_PREFIX)
 app.include_router(microservices.router, prefix=settings.API_PREFIX)
 app.include_router(model_infra.router, prefix=settings.API_PREFIX)
+app.include_router(advanced_stack.router, prefix=settings.API_PREFIX)
 
 
 # ===================