fix(ci): train-dqn uses compile-and-train (no pre-built binary dependency)

Was referencing training-pipeline which needs binary-tag for pre-built
binaries from GitLab packages. Now references compile-and-train which
compiles from source then trains. No stale binary risk.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

infra/k8s/argo/train-dqn-template.yaml

@@ -1,11 +1,11 @@
-# Train DQN: fetch binaries → hyperopt → train → evaluate → upload.
+# Train DQN: compile → hyperopt → train → evaluate → upload.
 #
 # Usage:
-#   argo submit --from=wftmpl/train-dqn -p binary-tag=dev-abc1234
-#   argo submit --from=wftmpl/train-dqn -p binary-tag=latest -p hyperopt-trials=50
+#   argo submit --from=wftmpl/train-dqn
+#   argo submit --from=wftmpl/train-dqn -p commit-ref=my-branch
 #
-# Thin wrapper around training-pipeline (templateRef) with DQN-tuned defaults.
-# DQN has a 28D hyperopt parameter space — more trials recommended.
+# Thin wrapper around compile-and-train with DQN-tuned defaults.
+# Compiles from source (no pre-built binary dependency).
 ---
 apiVersion: argoproj.io/v1alpha1
 kind: WorkflowTemplate
@@ -15,18 +15,14 @@ metadata:
   labels:
     app.kubernetes.io/name: train-dqn
     app.kubernetes.io/part-of: foxhunt
-      app.kubernetes.io/component: gpu-test
 spec:
   entrypoint: pipeline
   serviceAccountName: argo-workflow
   podMetadata:
     labels:
       app.kubernetes.io/part-of: foxhunt
-      app.kubernetes.io/component: gpu-test
-      app.kubernetes.io/component: training
+      app.kubernetes.io/component: compile-and-train
   securityContext:
-    runAsUser: 1000
-    runAsGroup: 1000
     fsGroup: 1000
   ttlStrategy:
     secondsAfterCompletion: 3600
@@ -36,16 +32,16 @@ spec:
     parameters:
       - name: model
         value: dqn
-      - name: binary-tag
-        value: latest
+      - name: commit-ref
+        value: main
       - name: gpu-pool
         value: ci-training-h100
       - name: hyperopt-trials
-        value: "50"          # 24D param space needs full exploration
+        value: "50"
       - name: hyperopt-epochs
-        value: "20"          # 20 epochs per trial with early stopping
+        value: "20"
       - name: train-epochs
-        value: "200"          # matches dqn-production.toml
+        value: "200"
       - name: symbol
         value: ES.FUT
       - name: data-dir
@@ -67,47 +63,10 @@ spec:
       - name: cuda-compute-cap
         value: "90"
 
-  volumes:
-    - name: training-data
-      persistentVolumeClaim:
-        claimName: training-data-pvc
-        readOnly: true
-
-  volumeClaimTemplates:
-    - metadata:
-        name: workspace
-      spec:
-        accessModes: ["ReadWriteOnce"]
-        storageClassName: scw-bssd
-        resources:
-          requests:
-            storage: 5Gi
-
   templates:
     - name: pipeline
-      dag:
-        tasks:
-          - name: fetch-binary
+      steps:
+        - - name: compile-and-train
             templateRef:
-              name: training-pipeline
-              template: fetch-binary
-          - name: hyperopt
-            templateRef:
-              name: training-pipeline
-              template: hyperopt
-            dependencies: [fetch-binary]
-          - name: train-best
-            templateRef:
-              name: training-pipeline
-              template: train-best
-            dependencies: [hyperopt]
-          - name: evaluate
-            templateRef:
-              name: training-pipeline
-              template: evaluate
-            dependencies: [train-best]
-          - name: upload-results
-            templateRef:
-              name: training-pipeline
-              template: upload-results
-            dependencies: [evaluate]
+              name: compile-and-train
+              template: pipeline