feat: add pullrequest to main

.aws/task_definition.json

@@ -8,23 +8,21 @@
         "memory": "8192",
         "portMappings": [
           {
-            "name": "xuexiao-5050-tcp",
-            "containerPort": 5050,
-            "hostPort": 5050,
+            "name": "xuexiao-80-tcp",
+            "containerPort": 80,
+            "hostPort": 80,
             "protocol": "tcp",
             "appProtocol": "http"
           }
         ],
         "essential": true,
-        "command": [
-          "uvicorn",
-          "main:app",
-          "--host",
-          "0.0.0.0",
-          "--port",
-          "5050",
-          "--workers",
-          "6"
+        "command":  [
+          "uvicorn", 
+          "app:app", 
+          "--host", 
+          "0.0.0.0", 
+          "--port", "80", 
+          "--workers", "6"
         ],
         "environment": [],
         "environmentFiles": [

.aws/task_definition_preview.json

@@ -1,5 +1,5 @@
 {
-    "taskDefinitionArn": "arn:aws:ecs:ap-northeast-1:654654285942:task-definition/botmeta-preview:4",
+    "taskDefinitionArn": "arn:aws:ecs:ap-northeast-1:654654285942:task-definition/xuexiao-preview:4",
     "containerDefinitions": [
       {
         "name": "xuexiao",
@@ -8,22 +8,19 @@
         "memory": "8192",
         "portMappings": [
           {
-            "name": "xuexiao-5050-tcp",
-            "containerPort": 5050,
-            "hostPort": 5050,
+            "name": "xuexiao-80-tcp",
+            "containerPort": 80,
+            "hostPort": 80,
             "protocol": "tcp",
             "appProtocol": "http"
           }
         ],
-        "command": [
-          "uvicorn",
-          "main:app",
-          "--host",
-          "0.0.0.0",
-          "--port",
-          "5050",
-          "--workers",
-          "6"
+        "command":  [
+          "uvicorn", 
+          "app:app", 
+          "--host", "0.0.0.0", 
+          "--port", "80", 
+          "--workers", "6"
         ],
         "essential": true,
         "environment": [],
@@ -47,7 +44,7 @@
         }
       }
     ],
-    "family": "quivr-preview",
+    "family": "xuexiao-preview",
     "taskRoleArn": "arn:aws:iam::654654285942:role/ecsTaskExecutionRole",
     "executionRoleArn": "arn:aws:iam::654654285942:role/ecsTaskExecutionRole",
     "networkMode": "awsvpc",

.github/workflows/aws-preview.yml

@@ -5,13 +5,19 @@ on:
     branches: ["main"]
     paths:
       - "server/**"
+  pull_request:
+    branches: [ "main" ]
 
 env:
   AWS_REGION: ap-northeast-1
   ECR_REPOSITORY: xuexiao
   ECR_REGISTRY: 654654285942.dkr.ecr.ap-northeast-1.amazonaws.com
   ECS_CLUSTER: xuexiao
 
+permissions:
+  id-token: write   # This is required for requesting the JWT
+  contents: read    # This is required for actions/checkout
+
 jobs:
   build_and_push:
     name: Build and Push Docker Image
@@ -23,10 +29,10 @@ jobs:
         uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4
 
       - name: Configure AWS credentials
-        uses: aws-actions/configure-aws-credentials@5fd3084fc36e372ff1fff382a39b10d03659f355 # v2
+        uses: aws-actions/configure-aws-credentials@v4
         with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          role-to-assume: arn:aws:iam::654654285942:role/Github-OIDC
+          audience: sts.amazonaws.com
           aws-region: ${{ env.AWS_REGION }}
 
       - name: Login to Amazon ECR
@@ -87,10 +93,10 @@ jobs:
         uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4
 
       - name: Configure AWS credentials
-        uses: aws-actions/configure-aws-credentials@5fd3084fc36e372ff1fff382a39b10d03659f355 # v2
+        uses: aws-actions/configure-aws-credentials@v4
         with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
+          role-to-assume: arn:aws:iam::654654285942:role/Github-OIDC
+          audience: sts.amazonaws.com
           aws-region: ${{ env.AWS_REGION }}
 
       - name: Fill in the new image ID in the Amazon ECS task definition for ${{ matrix.name }}

.gitignore

@@ -28,6 +28,7 @@ yarn-error.log*
 # local env files
 .env*.local
 .env
+*.env
 # vercel
 .vercel
 

doc/init_aws.md

@@ -71,27 +71,6 @@ Docker Compose's integration for ECS and ACI will be retired in November 2023. L
 Successfully created ecs context "botmetaecscontext"
 ```
 
-The current context in use is marked by  * in the output of context listing:
 
-```bash
-$ docker context ls
-```
-
-```
-NAME                TYPE                DESCRIPTION                               DOCKER ENDPOINT                                KUBERNETES ENDPOINT   ORCHESTRATOR
-botmetaecscontext   ecs
-default             moby                Current DOCKER_HOST based configuration   unix:///var/run/docker.sock
-```
-
-To make all subsequent commands target Amazon ECS, make the newly created ECS context the one in use by running:
-
-```bash
-docker context use botmetaecscontext
-```
-
-
-Docker Compose converts the Compose file to a CloudFormation template defining a set of AWS resources. Details on the resource mapping can be found in the documentation. To review the CloudFormation template generated, we can run the command:
-
-```bash
-$ docker compose convert
-```
+#### REFERENCES
+https://docs.aws.amazon.com/apigateway/latest/developerguide/http-api-private-integration.html

server/Dockerfile

@@ -1,8 +1,12 @@
-FROM public.ecr.aws/lambda/python:3.10
+# Using a slim version for a smaller base image
+FROM python:3.11.6-slim-bullseye
+
 # Copy function code
 COPY . ${LAMBDA_TASK_ROOT}
 # from your project folder.
 COPY requirements.txt .
 RUN pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}" -U --no-cache-dir
 
-CMD [ "app.handler" ]
+EXPOSE 80
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "80", "--workers", "6"]

server/Dockerfile.dev

@@ -9,4 +9,4 @@ RUN pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}" -U --no-cach
 
 EXPOSE 5050
 
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "5050", "--workers", "6"]
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "80", "--workers", "6"]

server/app.py

@@ -1,6 +1,5 @@
 import os
 from fastapi import FastAPI
-from mangum import Mangum
 
 from data_class import DalleData, ChatData
 from openai_api import dalle
@@ -9,9 +8,8 @@
 open_api_key = os.getenv("OPENAI_API_KEY")
 
 app = FastAPI()
-handler = Mangum(app)
 
-@app.get("/api/greetings")
+@app.get("/")
 def read_root():
     return {"Hello": "World"}
 
@@ -26,9 +24,3 @@ def run_img_generator(input_data: DalleData):
 def run_langchain_chat(input_data: ChatData):
     result = chat.langchain_chat(input_data, open_api_key)
     return result
-
-if __name__ == "__main__":
-    # run main.py to debug backend
-    import uvicorn
-
-    uvicorn.run(app, host="0.0.0.0", port=5050)