Chore/33 infra

backend/src/main/resources/application-prod.yml

@@ -33,6 +33,24 @@ spring:
       port: ${PROD_REDIS_PORT}
       password: ${PROD_REDIS_PASSWORD}
       embedded: false
+  kafka:
+    bootstrap-servers: kafka:9092
+    producer:
+      key-serializer: org.apache.kafka.common.serialization.StringSerializer
+      value-serializer: org.springframework.kafka.support.serializer.JsonSerializer
+    consumer:
+      group-id: chat-processing-group  # 컨슈머 그룹 ID
+      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
+      value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
+      properties:
+        spring.json.trusted.packages: "*"
+  task:
+    scheduling:
+      shutdown:
+        await-termination: true
+        await-termination-period: 60s
+  lifecycle:
+    timeout-per-shutdown-phase: 60s
 
   security:
     oauth2:

infra/.gitignore

@@ -5,4 +5,5 @@ terraform.tfstate
 terraform.tfstate.backup
 .terraform.tfstate.lock.info
 secrets.tf
-init/sql
+init/sql
+init/qdrant

infra/main.tf

@@ -165,14 +165,14 @@ resource "aws_s3_object" "init_data_sql" {
 
 resource "aws_s3_object" "law_data_sql" {
   bucket = aws_s3_bucket.s3_bucket_1.bucket
-  key    = "lawData-dev.sql"
-  source = "${path.module}/init/sql/dev/lawData-dev.sql"
+  key    = "lawData.sql"
+  source = "${path.module}/init/sql/prod/lawData.sql"
 }
 
 resource "aws_s3_object" "precedent_data_sql" {
   bucket = aws_s3_bucket.s3_bucket_1.bucket
-  key    = "precedentData-dev.sql"
-  source = "${path.module}/init/sql/dev/precedentData-dev.sql"
+  key    = "precedentData.sql"
+  source = "${path.module}/init/sql/prod/precedentData.sql"
 }
 
 # EC2 설정 시작
@@ -311,12 +311,13 @@ docker run -d \
 
 
 # SQL 폴더 생성
-mkdir -p /home/ec2-user/app/init/sql/dev
+mkdir -p /home/ec2-user/app/init/sql/prod
 
 # S3에서 SQL 파일 다운로드
 aws s3 cp s3://${var.prefix}-s3-bucket-1/init.sql /home/ec2-user/app/init/sql/init.sql
-aws s3 cp s3://${var.prefix}-s3-bucket-1/lawData-dev.sql /home/ec2-user/app/init/sql/dev/lawData-dev.sql
-aws s3 cp s3://${var.prefix}-s3-bucket-1/precedentData-dev.sql /home/ec2-user/app/init/sql/dev/precedentData-dev.sql
+aws s3 cp s3://${var.prefix}-s3-bucket-1/lawData.sql /home/ec2-user/app/init/sql/prod/lawData.sql
+aws s3 cp s3://${var.prefix}-s3-bucket-1/precedentData.sql /home/ec2-user/app/init/sql/prod/precedentData.sql
+aws s3 cp s3://${var.prefix}-s3-bucket-1/legal_cases.snapshot /home/ec2-user/app/init/qdrant/snapshot/legal_cases.snapshot
 
 # MySQL 설정 폴더 생성 및 UTF8 설정
 mkdir -p /dockerProjects/mysql/volumes/etc/mysql/conf.d
@@ -325,6 +326,13 @@ cat <<EOF > /dockerProjects/mysql/volumes/etc/mysql/conf.d/charset.cnf
 [mysqld]
 character-set-server = utf8mb4
 collation-server = utf8mb4_general_ci
+lower_case_table_names=1
+innodb_buffer_pool_size = 1G
+innodb_flush_log_at_trx_commit = 2
+innodb_flush_method = O_DIRECT
+tmp_table_size = 256M
+max_heap_table_size = 256M
+max_connections = 100
 
 [client]
 default-character-set = utf8mb4
@@ -366,16 +374,21 @@ docker exec mysql mysql -uroot -p${var.password_1} -e "
 
     FLUSH PRIVILEGES;
 "
-docker exec -i mysql mysql -uroot -p${var.password_1} ${var.app_1_db_name} < /home/ec2-user/app/init/sql/dev/lawData-dev.sql
-docker exec -i mysql mysql -uroot -p${var.password_1} ${var.app_1_db_name} < /home/ec2-user/app/init/sql/dev/precedentData-dev.sql
+docker exec -i mysql mysql -uroot -p${var.password_1} ${var.app_1_db_name} < /home/ec2-user/app/init/sql/prod/lawData.sql
+docker exec -i mysql mysql -uroot -p${var.password_1} ${var.app_1_db_name} < /home/ec2-user/app/init/sql/prod/precedentData.sql
 
 # Qdrant 설치
+mkdir -p /qdrant/snapshots/legal_cases
+aws s3 cp s3://${var.prefix}-s3-bucket-1/legal_cases.snapshot /qdrant/snapshots/legal_cases/legal_cases.snapshot
+
 docker run -d \
   --name qdrant \
   --restart unless-stopped \
   --network common \
   -p 6333:6333 \
   -p 6334:6334 \
+  -v /qdrant/storage:/qdrant/storage \
+  -v /qdrant/snapshots:/qdrant/snapshots \
   qdrant/qdrant
 
 # Qdrant healthcheck 대기
@@ -440,7 +453,7 @@ resource "aws_instance" "ec2_1" {
   # 사용할 AMI ID
   ami = data.aws_ami.latest_amazon_linux.id
   # EC2 인스턴스 유형
-  instance_type = "t3.micro"
+  instance_type = "t3.small"
   # 사용할 서브넷 ID
   subnet_id = aws_subnet.subnet_2.id
   # 적용할 보안 그룹 ID