修改job定义文件

k8s/job-templates/dbf-import-job.yaml

@@ -2,6 +2,7 @@ apiVersion: batch/v1
 kind: Job
 metadata:
   name: dbf-import-job-{{JOB_ID}}
+  namespace: {{NAMESPACE}}
 spec:
   ttlSecondsAfterFinished: 86400
   template:
@@ -14,9 +15,9 @@ spec:
         - name: DATA_PVC_MOUNT_PATH
           value: "/data"
         - name: DBF_INPUT_DIR
-          value: "/data/dbf-input"
+          value: "/data/data-import-export/dbf-input"
         - name: MAPPING_FILE
-          value: "/data/mapping.xlsx"
+          value: "/data/data-import-export/mapping.xlsx"
         - name: DB_HOST
           value: "{{DB_HOST}}"
         - name: DB_PORT
@@ -36,12 +37,13 @@ spec:
           mountPath: "/data"
         resources:
           requests:
-            cpu: "500m"     # 0.5 个 CPU 核心
-            memory: "1Gi"    # 1 GB 内存
+            cpu: "500m"
+            memory: "1Gi"
           limits:
-            cpu: "1000m"    # 2 个 CPU 核心
-            memory: "2Gi"    # 4 GB 内存
+            cpu: "1000m"
+            memory: "2Gi"
       volumes:
       - name: data-volume
         persistentVolumeClaim:
-          claimName: {{DATA_PVC_NAME}}
+          claimName: {{DATA_PVC_NAME}}
+      restartPolicy: Never

scripts/deploy-dbf-import.sh

@@ -8,18 +8,14 @@ IMAGE_TAG=${IMAGE_TAG:-"dev"}
 BATCH_SIZE=${BATCH_SIZE:-"1000"}
 LOG_LEVEL=${LOG_LEVEL:-"INFO"}
 DATA_PVC_NAME=${DATA_PVC_NAME:-"data-import-export-pvc"}
-# todo: 下面参数使用时需要修改
+# 数据库配置（使用时需要修改）
 DB_HOST=${DB_HOST:-"test-db.db.svc.cluster.local"}
 DB_PORT=${DB_PORT:-"6432"}
 DB_NAME=${DB_NAME:-"idrc"}
 DB_USER=${DB_USER:-"idrc"}
 DB_PASSWORD=${DB_PASSWORD:-"a8aa283c1b3ca0bdfe1d2669dd400f3d"}
 
-
-# 导出变量用于envsubst
-export JOB_ID IMAGE_REPO IMAGE_TAG DATA_PVC_NAME
-export DB_HOST DB_PORT DB_NAME DB_USER DB_PASSWORD
-export BATCH_SIZE LOG_LEVEL
+NAMESPACE=${NAMESPACE:-"db"}
 
 # 检查模板文件
 TEMPLATE_FILE="dbf-import-job.yaml"
@@ -28,12 +24,28 @@ if [ ! -f "$TEMPLATE_FILE" ]; then
   exit 1
 fi
 
-# 处理模板
+# 直接替换模板变量（不使用envsubst）
 OUTPUT_FILE="dbf-import-job-${JOB_ID}.yaml"
-envsubst < "$TEMPLATE_FILE" > "$OUTPUT_FILE"
+sed -e "s|{{JOB_ID}}|$JOB_ID|g" \
+    -e "s|{{NAMESPACE}}|$NAMESPACE|g" \
+    -e "s|{{IMAGE_REPO}}|$IMAGE_REPO|g" \
+    -e "s|{{IMAGE_TAG}}|$IMAGE_TAG|g" \
+    -e "s|{{DATA_PVC_NAME}}|$DATA_PVC_NAME|g" \
+    -e "s|{{DB_HOST}}|$DB_HOST|g" \
+    -e "s|{{DB_PORT}}|$DB_PORT|g" \
+    -e "s|{{DB_NAME}}|$DB_NAME|g" \
+    -e "s|{{DB_USER}}|$DB_USER|g" \
+    -e "s|{{DB_PASSWORD}}|$DB_PASSWORD|g" \
+    -e "s|{{BATCH_SIZE}}|$BATCH_SIZE|g" \
+    -e "s|{{LOG_LEVEL}}|$LOG_LEVEL|g" \
+    "$TEMPLATE_FILE" > "$OUTPUT_FILE"
+
+# 部署前验证
+echo "Validating generated YAML..."
+kubectl apply -f "$OUTPUT_FILE" -n "$NAMESPACE" --dry-run=client
 
 # 部署Job
-kubectl apply -f "$OUTPUT_FILE"
+kubectl apply -f "$OUTPUT_FILE"  -n "$NAMESPACE"
 
-echo "Job deployed: dbf-import-job-${JOB_ID}"
-echo "To view logs: kubectl logs job/dbf-import-job-${JOB_ID}"
+echo "Job deployed in namespace $NAMESPACE: dbf-import-job-${JOB_ID}"
+echo "To view logs: kubectl logs job/dbf-import-job-${JOB_ID} -n $NAMESPACE"

src/pipelines/dbf_to_postgres.py

@@ -72,7 +72,6 @@ class DbfToPostgresPipeline(BasePipeline):
         mapping_dict = self.load_mapping()
 
         # 连接数据库
-
         # todo：本地调试时打开
         db_config = self.config.get_database_config()
         self.db = Database(**db_config)