feat: support try-me endpoints in Nomad

README.md

@@ -199,6 +199,9 @@ More details can be found in the [API docs](https://api.cloud.ai4eosc.eu/docs).
   **Notes**: The catalog caches results for up to 6 hours to improve UX (see
   [doctring](./ai4papi/routers/v1/modules.py)).
 
+* `/v1/try_me/`:
+   endpoint where anyone can deploy a short-lived container to try a module
+
 * `/v1/deployments/`: (🔒)
    deploy modules/tools in the platform to perform trainings
 

ai4papi/conf.py

@@ -81,6 +81,11 @@ def load_yaml_conf(fpath):
         }
     }
 
+# Try-me endpoints
+nmd = load_nomad_job(paths['conf'] / 'try_me' / 'nomad.hcl')
+TRY_ME = {
+    'nomad': nmd,
+}
 
 # Retrieve git info from PAPI, to show current version in the docs
 papi_commit = subprocess.run(

ai4papi/routers/v1/__init__.py

@@ -1,12 +1,13 @@
 import fastapi
 
-from . import catalog, deployments, secrets, stats
+from . import catalog, deployments, secrets, stats, try_me
 
 app = fastapi.APIRouter()
 app.include_router(catalog.app)
 app.include_router(deployments.app)
 app.include_router(secrets.router)
 app.include_router(stats.app)
+app.include_router(try_me.app)
 
 
 @app.get(

ai4papi/routers/v1/stats/deployments.py

@@ -223,7 +223,7 @@ def get_cluster_stats(
             for k, v in n_stats.items():
 
                 # Ignore keys
-                if k in ['name', 'namespaces', 'eligibility', 'status']:
+                if k in ['name', 'namespaces', 'eligibility', 'status', 'tags']:
                     continue
 
                 # Aggregate nested gpu_models dict
@@ -286,6 +286,7 @@ def get_cluster_stats_bg():
         n_stats['gpu_models'] = {}
         n_stats['namespaces'] = node['Meta'].get('namespace', '')
         n_stats['status'] = node['Meta'].get('status', '')
+        n_stats['tags'] = node['Meta'].get('tags', '')
 
         if n['NodeResources']['Devices']:
             for devices in n['NodeResources']['Devices']:

ai4papi/routers/v1/try_me/__init__.py

@@ -0,0 +1,10 @@
+import fastapi
+
+from . import nomad
+
+
+app = fastapi.APIRouter()
+app.include_router(
+    router=nomad.router,
+    prefix='/try_me',
+    )

ai4papi/routers/v1/try_me/nomad.py

@@ -0,0 +1,135 @@
+from copy import deepcopy
+import uuid
+
+from fastapi import APIRouter, Depends, HTTPException
+from fastapi.security import HTTPBearer
+
+from ai4papi import auth
+import ai4papi.conf as papiconf
+from ai4papi.routers.v1.catalog.modules import Modules
+from ai4papi.routers.v1.stats.deployments import get_cluster_stats
+import ai4papi.nomad.common as nomad
+
+
+router = APIRouter(
+    prefix="/nomad",
+    tags=["Nomad trials"],
+    responses={404: {"description": "Not found"}},
+)
+security = HTTPBearer()
+
+
+@router.post("/")
+def create_deployment(
+    module_name: str,
+    authorization=Depends(security),
+    ):
+    """
+    Submit a try-me deployment to Nomad.
+    The deployment will automatically kill himself after a short amount of time.
+
+    This endpoint is meant to be public for everyone to try (no authorization required).
+    We deploy jobs by default in the AI4EOSC namespace.
+
+    Returns a string with the endpoint to access the API.
+    """
+    # Retrieve authenticated user info
+    auth_info = auth.get_user_info(token=authorization.credentials)
+
+    # Retrieve docker_image from module_name
+    meta = Modules.get_metadata(module_name)
+    docker_image = meta['sources']['docker_registry_repo']
+
+    # Load module configuration
+    nomad_conf = deepcopy(papiconf.TRY_ME['nomad'])
+
+    # Generate UUID from (MAC address+timestamp) so it's unique
+    job_uuid = uuid.uuid1()
+
+    # Replace the Nomad job template
+    nomad_conf = nomad_conf.safe_substitute(
+        {
+            'JOB_UUID': job_uuid,
+            'NAMESPACE': 'ai4eosc',  # (!) try-me jobs are always deployed in "ai4eosc"
+            'OWNER': auth_info['id'],
+            'OWNER_NAME': auth_info['name'],
+            'OWNER_EMAIL': auth_info['email'],
+            'BASE_DOMAIN': papiconf.MAIN_CONF['lb']['domain']['vo.ai4eosc.eu'],  # idem
+            'HOSTNAME': job_uuid,
+            'DOCKER_IMAGE': docker_image,
+        }
+    )
+
+    # Convert template to Nomad conf
+    nomad_conf = nomad.load_job_conf(nomad_conf)
+
+    # Check that the target node (ie. tag='tryme') resources are available because
+    # these jobs cannot be left queueing
+    # We check for every resource metric (cpu, disk, ram)
+    stats = get_cluster_stats(vo='vo.ai4eosc.eu')
+    resources = ['cpu', 'ram', 'disk']
+    keys = [f"{i}_used" for i in resources] + [f"{i}_total" for i in resources]
+    status = {k: 0 for k in keys}
+
+    for _, datacenter  in stats['datacenters'].items():
+        for _, node in datacenter['nodes'].items():
+            if 'tryme' in node['tags']:
+                for k in keys:
+                    status[k] += node[k]
+    for r in resources:
+        if status[f"{r}_used"] / status[f"{r}_total"] > 0.95:
+            raise HTTPException(
+                status_code=503,
+                detail="Sorry, but there seem to be no resources available right " \
+                    "now to test the module. Please try later.",
+                )
+
+    # Check that the user hasn't too many "try-me" jobs currently running
+    jobs = nomad.get_deployments(
+        namespace="ai4eosc",  # (!) try-me jobs are always deployed in "ai4eosc"
+        owner=auth_info['id'],
+        prefix="try",
+    )
+    if len(jobs) >= 2:
+        raise HTTPException(
+            status_code=503,
+            detail="Sorry, but you seem to be currently running two `Try-me` environments already. " \
+                "Before launching a new one, you will need to wait till one of your " \
+                "existing environments gets automatically deleted (ca. 10 min)."
+            )
+
+    # Submit job
+    r = nomad.create_deployment(nomad_conf)
+
+    return r
+
+
+@router.get("/{deployment_uuid}")
+def get_deployment(
+    deployment_uuid: str,
+    authorization=Depends(security),
+    ):
+    """
+    This function is used mainly to be able to retrieve the endpoint of the try_me job.
+    We cannot return the endpoint when creating the job, because the final endpoint will
+    on which datacenter the job ends up landing.
+
+    Parameters:
+    * **deployment_uuid**: uuid of deployment to gather info about
+
+    Returns a dict with info
+    """
+    # Retrieve authenticated user info
+    auth_info = auth.get_user_info(token=authorization.credentials)
+
+    job = nomad.get_deployment(
+        deployment_uuid=deployment_uuid,
+        namespace="ai4eosc",  # (!) try-me jobs are always deployed in "ai4eosc"
+        owner=auth_info['id'],
+        full_info=True,
+    )
+
+    # Rewrite main endpoint, otherwise it automatically selects DEEPaaS API
+    job['main_endpoint'] = 'ui'
+
+    return job

etc/try_me/nomad.hcl

@@ -0,0 +1,154 @@
+/*
+Convention:
+-----------
+* ${UPPERCASE} are replaced by the user
+* ${lowercase} are replace by Nomad at launchtime
+* remaining is default, same for everybody
+
+When replacing user values we use safe_substitute() so that ge don't get an error for not
+replacing Nomad values
+*/
+
+job "try-${JOB_UUID}" {
+  namespace = "${NAMESPACE}"
+  type      = "batch"       # try-me jobs should not be redeployed when exit_code=0
+  region    = "global"
+  id        = "${JOB_UUID}"
+  priority  = "0"           # try-me jobs have low priority
+
+  meta {
+    owner       = "${OWNER}"  # user-id from OIDC
+    owner_name  = "${OWNER_NAME}"
+    owner_email = "${OWNER_EMAIL}"
+    title       = ""
+    description = ""
+  }
+
+  # Only use nodes that have succesfully passed the ai4-nomad_tests (ie. meta.status=ready)
+  constraint {
+    attribute = "${meta.status}"
+    operator  = "regexp"
+    value     = "ready"
+  }
+
+  # Only deploy in nodes serving that namespace (we use metadata instead of node-pools
+  # because Nomad does not allow a node to belong to several node pools)
+  constraint {
+    attribute = "${meta.namespace}"
+    operator  = "regexp"
+    value     = "${NAMESPACE}"
+  }
+
+  # Force that try-me jobs land in "tryme" nodes (that are the ones that have the docker
+  # images pre-fetched for fast deployment)
+  constraint {
+    attribute = "${meta.tags}"
+    operator  = "regexp"
+    value     = "tryme"
+  }
+
+  group "usergroup" {
+
+    # Do not try to restart a try-me job if it raised an error (eg. module incompatible
+    # with Gradio UI)
+    reschedule {
+      attempts  = 0
+      unlimited = false
+    }
+
+    network {
+
+      port "ui" {
+        to = 80  # -1 will assign random port
+      }
+      port "api" {
+        to = 5000  # -1 will assign random port
+      }
+    }
+
+    service {
+      name = "${JOB_UUID}-ui"
+      port = "ui"
+      tags = [
+        "traefik.enable=true",
+        "traefik.http.routers.${JOB_UUID}-ui.tls=true",
+        "traefik.http.routers.${JOB_UUID}-ui.rule=Host(`ui-${HOSTNAME}.${meta.domain}-${BASE_DOMAIN}`, `www.ui-${HOSTNAME}.${meta.domain}-${BASE_DOMAIN}`)",
+      ]
+    }
+
+    ephemeral_disk {
+      size = 300  # MB
+    }
+
+    task "main" { # DEEPaaS API
+
+      # Run as a prestart task to make sure deepaas has already launched when launching the deepaas UI
+      lifecycle {
+        hook    = "prestart"
+        sidecar = true
+      }
+
+      driver = "docker"
+
+      config {
+        force_pull = true
+        image      = "${DOCKER_IMAGE}:latest"
+        command    = "deep-start"
+        args       = ["--deepaas"]
+        ports      = ["api"]
+        shm_size   = 1000000000  # 1GB
+        memory_hard_limit = 2000  # 2GB
+      }
+
+      # (!) Keep in mind that if a module works locally but isn't working in Nomad,
+      # the reason is likely that these resources are too low and the module freezes
+      resources {
+        cores      = 1
+        memory     = 2000  # 2GB
+        memory_max = 2000  # 2GB
+      }
+
+      # Do not try to restart a try-me job if it failis to launch deepaas
+      # This is usually due to the fact that the Docker image took too long to download
+      # and failed with error: `Failed to pull `ai4oshub/...`: context deadline` exceeded
+      # Restarting in the same node won't fix the connectivity issues
+      restart {
+        attempts = 0
+        mode     = "fail"
+      }
+
+    }
+
+    task "ui" { # DEEPaaS UI (Gradio)
+
+      driver = "docker"
+
+      config {
+        force_pull = true
+        image      = "registry.services.ai4os.eu/ai4os/deepaas_ui:latest"
+        ports      = ["ui"]
+        shm_size   = 250000000   # 250MB
+        memory_hard_limit = 500  # MB
+      }
+
+      env {
+        DURATION = "10m"  # kill job after 10 mins
+        UI_PORT  = 80
+      }
+
+      resources {
+        cpu        = 500  # MHz
+        memory     = 500  # MB
+        memory_max = 500  # MB
+      }
+
+      # Do not try to restart a try-me job if it raises error (module incompatible with Gradio UI)
+      restart {
+        attempts = 0
+        mode     = "fail"
+      }
+
+    }
+
+  }
+}