maj deploiement api

Author: rayaberova

cd/deployment-api/deployment.yaml

@@ -1,27 +1,23 @@
 apiVersion: apps/v1
 kind: Deployment
 metadata:
-  name: hackathon-ntts-2025-model-deployment
+  name: funathon-2026-project3-model-deployment
 spec:
   replicas: 25
   selector:
     matchLabels:
-      app: hackathon-ntts-2025-model-deployment
+      app: funathon-2026-project3-model-deployment
   template:
     metadata:
       labels:
-        app: hackathon-ntts-2025-model-deployment
+        app: funathon-2026-project3-model-deployment
     spec:
       containers:
-        - name: hackathon-ntts-2025-app
+        - name: funathon-2026-project3-app
           image: rayaberova/hackathon-ntts-2025:main
           imagePullPolicy: Always
           env:
             # env var for s3 connexion
-            - name: MLFLOW_S3_ENDPOINT_URL
-              value: https://minio.lab.sspcloud.fr
-            - name: AWS_S3_ENDPOINT
-              value: minio.lab.sspcloud.fr
             - name: AWS_ACCESS_KEY_ID
               valueFrom:
                 secretKeyRef:
@@ -34,14 +30,23 @@ spec:
                   key: secretKey
             - name: AWS_DEFAULT_REGION
               value: us-east-1
-            # env var for setting mlflow model registry server
+            - name: AWS_S3_ENDPOINT
+              value: minio.lab.sspcloud.fr
+            - name: MLFLOW_S3_ENDPOINT_URL
+              value: https://minio.lab.sspcloud.fr
             - name: MLFLOW_TRACKING_URI
-              value: https://projet-hackathon-ntts-2025-mlflow.user.lab.sspcloud.fr
-            # env var for setting models uri which will be deployed
+              value: projet-formation-mlflow.user.lab.sspcloud.fr
+            - name: MLFLOW_TRACKING_USERNAME
+              value: projet-formation
+            - name: MLFLOW_TRACKING_PASSWORD
+              valueFrom:
+                secretKeyRef:
+                  name: mlflow
+                  key: password
             - name: MLFLOW_MODEL_NAME
-              value: Segmentation-multiclass
+              value: segmentation-sentinel2-model
             - name: MLFLOW_MODEL_VERSION
-              value: "4"
+              value: "2"
             - name: MLFLOW_ENABLE_ARTIFACTS_PROGRESS_BAR
               value: "false"
           resources:

cd/deployment-api/ingress.yaml

@@ -1,22 +1,22 @@
 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
-  name: hackathon-ntts-2025-model-ingress
+  name: funathon-2026-project3-model-ingress
   annotations:
     nginx.ingress.kubernetes.io/proxy-read-timeout: "3600"
     nginx.ingress.kubernetes.io/proxy-send-timeout: "3600"
 spec:
   tls:
     - hosts:
-        - hackathon-ntts-2025.lab.sspcloud.fr
+        - projet-formation.lab.sspcloud.fr
   rules:
-    - host: hackathon-ntts-2025.lab.sspcloud.fr
+    - host: projet-formation.lab.sspcloud.fr
       http:
         paths:
           - path: /
             pathType: Prefix
             backend:
               service:
-                name: hackathon-ntts-2025-model-service
+                name: funathon-2026-project3-model-service
                 port:
                   number: 8000

cd/deployment-api/service.yaml

@@ -1,7 +1,7 @@
 apiVersion: v1
 kind: Service
 metadata:
-  name: hackathon-ntts-2025-model-service
+  name: funathon-2026-project3-model-service
 spec:
   type: ClusterIP
   ports:
@@ -10,4 +10,4 @@ spec:
       protocol: TCP
       name: http
   selector:
-    app: hackathon-ntts-2025-model-deployment
+    app: funathon-2026-project3-model-deployment

training/argo-workflows/train-workflow-funathon.yaml

@@ -21,9 +21,9 @@ spec:
               "AUGMENT_SIZE": 512,
               "TYPE_LABELER": "CLCplus-Backbone",
               "USE_S3": 0,
-              "EPOCHS": 50,
-              "BATCH_SIZE": 32,
-              "TEST_BATCH_SIZE": 16,
+              "EPOCHS": 1,
+              "BATCH_SIZE": 4,
+              "TEST_BATCH_SIZE": 2,
               "LR": 0.00005,
               "BUILDING_CLASS_WEIGHT": 10.0,
               "LOSS_NAME": "cross_entropy_weighted",
@@ -114,8 +114,8 @@ spec:
           - name: FREEZE_ENCODER
           - name: CUDA
       container:
-        image: inseefrlab/satellite-images-train:v0.0.7
-        imagePullPolicy: IfNotPresent
+        image: inseefrlab/onyxia-python-pytorch:py3.13.12-gpu
+        imagePullPolicy: Always
         resources:
           limits:
             nvidia.com/gpu: 1
@@ -124,8 +124,8 @@ spec:
           - |
             git clone https://github.com/InseeFrLab/hackathon-ntts-2025.git &&
             cd hackathon-ntts-2025/training &&
-            export MC_HOST_s3=https://$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY@$AWS_S3_ENDPOINT &&
-            mlflow run ~/work/hackathon-ntts-2025/training/ \
+            uv sync && 
+            uv run mlflow run . \
                 --env-manager=local \
                 --entry-point $ENTRY_POINT \
                 -P remote_server_uri=$MLFLOW_TRACKING_URI \
@@ -172,15 +172,15 @@ spec:
           - name: MLFLOW_S3_ENDPOINT_URL
             value: https://minio.lab.sspcloud.fr
           - name: MLFLOW_TRACKING_URI
-            value: https://projet-hackathon-ntts-2025-mlflow.user.lab.sspcloud.fr/
+            value: https://projet-formation-mlflow.user.lab.sspcloud.fr/
           - name: MLFLOW_EXPERIMENT_NAME
-            value: test
+            value: funathon-2026-project3
           - name: MLFLOW_TRACKING_USERNAME
-            value: projet-hackathon-ntts-2025  
+            value: projet-formation
           - name: MLFLOW_TRACKING_PASSWORD
             valueFrom:
               secretKeyRef:
                 name: mlflow
                 key: password
           - name: ENTRY_POINT
-            value: main
+            value: main