Merge pull request #24 from nalbam/main

Upgrade Python version to 3.11 across workflows

.github/workflows/5-sync-notion.yml

@@ -9,6 +9,8 @@ on:
     - cron: "0 20 * * 0-4"
 
 env:
+  AWS_REGION: "us-east-1"
+
   ENABLE_NOTION_SYNC: ${{ vars.ENABLE_NOTION_SYNC }}
 
   KNOWLEDGE_BASE_ID: ${{ vars.KNOWLEDGE_BASE_ID }}
@@ -29,10 +31,10 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Setup Python 3.9 🐍
+      - name: Setup Python 3.11 🐍
         uses: actions/setup-python@v4
         with:
-          python-version: 3.9
+          python-version: 3.11
 
       - name: Setup Dependencies
         run: pip install python-notion-exporter
@@ -50,9 +52,8 @@ jobs:
         env:
           AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
           AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          AWS_REGION: "us-east-1"
         run: |
-          aws s3 sync --delete \
+          aws s3 sync --delete --region ${{ env.AWS_REGION }} \
             build/${{ env.NOTION_PAGE_NAME }}/ \
             ${{ env.AWS_DEST_PATH }}/${{ env.NOTION_PAGE_NAME }}/
 
@@ -61,8 +62,8 @@ jobs:
         env:
           AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
           AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          AWS_REGION: "us-east-1"
         run: |
           aws bedrock-agent start-ingestion-job \
             --knowledge-base-id ${{ env.KNOWLEDGE_BASE_ID }} \
-            --data-source-id ${{ env.DATA_SOURCE_ID }}
+            --data-source-id ${{ env.DATA_SOURCE_ID }} \
+            --region ${{ env.AWS_REGION }}

.github/workflows/6-start-ingestion.yml

@@ -9,6 +9,8 @@ on:
     - cron: "0 21 * * 0-4"
 
 env:
+  AWS_REGION: "us-east-1"
+
   ENABLE_NOTION_SYNC: ${{ vars.ENABLE_NOTION_SYNC }}
 
   KNOWLEDGE_BASE_ID: ${{ vars.KNOWLEDGE_BASE_ID }}
@@ -24,18 +26,18 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Setup Python 3.9 🐍
+      - name: Setup Python 3.11 🐍
         uses: actions/setup-python@v4
         with:
-          python-version: 3.9
+          python-version: 3.11
 
       - name: Sync to AWS Bedrock Knowledge Base
         if: env.ENABLE_NOTION_SYNC == 'Yes' && env.KNOWLEDGE_BASE_ID != 'None' && env.DATA_SOURCE_ID != 'None'
         env:
           AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
           AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          AWS_REGION: "us-east-1"
         run: |
           aws bedrock-agent start-ingestion-job \
             --knowledge-base-id ${{ env.KNOWLEDGE_BASE_ID }} \
-            --data-source-id ${{ env.DATA_SOURCE_ID }}
+            --data-source-id ${{ env.DATA_SOURCE_ID }} \
+            --region ${{ env.AWS_REGION }}

README.md

@@ -7,7 +7,7 @@ A serverless Slack bot using AWS Lambda, API Gateway, and DynamoDB.
 ## Install
 
 ```bash
-$ brew install python@3.9
+$ brew install python@3.11
 
 $ npm install -g [email protected]
 

bedrock/README.md

@@ -3,7 +3,7 @@
 ## Install
 
 ```bash
-$ brew install python@3.9
+$ brew install python@3.11
 
 $ python -m pip install --upgrade -r requirements.txt
 ```

bin/README.md

@@ -3,7 +3,7 @@
 ## Install
 
 ```bash
-$ brew install python@3.9
+$ brew install python@3.11
 
 $ python -m pip install --upgrade -r requirements.txt
 ```

handler.py

@@ -38,7 +38,7 @@
 
 # Set up System messages
 PERSONAL_MESSAGE = os.environ.get(
-    "PERSONAL_MESSAGE", "당신은 친절하고 전문적인 AI 비서 입니다."
+    "PERSONAL_MESSAGE", "You are a friendly and professional AI assistant."
 )
 SYSTEM_MESSAGE = os.environ.get("SYSTEM_MESSAGE", "None")
 
@@ -308,13 +308,20 @@ def conversation(say: Say, thread_ts, query, channel, client_msg_id):
 
     prompts = []
     prompts.append("User: {}".format(PERSONAL_MESSAGE))
-    prompts.append("If you don't know the answer, just say that you don't know, don't try to make up an answer.")
+    prompts.append(
+        "If you don't know the answer, just say that you don't know, don't try to make up an answer."
+    )
 
     if SYSTEM_MESSAGE != "None":
         prompts.append(SYSTEM_MESSAGE)
 
     prompts.append("<question> 태그로 감싸진 질문에 답변을 제공하세요.")
 
+    tz = datetime.timezone(datetime.timedelta(hours=9))
+    now = datetime.datetime.now(tz)
+
+    prompts.append("<now>{}</now>".format(now.isoformat()))
+
     try:
         # Get the knowledge base contexts
         if KNOWLEDGE_BASE_ID != "None":