init

functions/trigger-minutes-workflow-from-miitel/.env_debug

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+PROJECT_ID=datacom-poc
+LOCATION=asia-northeast1
+BUCKET=meeting-report-data
+WORKFLOW=mrt-workflow-create-minutes

functions/trigger-minutes-workflow-from-miitel/.env_dev

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+PROJECT_ID: datacom-poc
+LOCATION: asia-northeast1
+BUCKET: meeting-report-data
+WORKFLOW: mrt-workflow-create-minutes

functions/trigger-minutes-workflow-from-miitel/.env_prod

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+PROJECT_ID: rational-timing-443808-u0
+LOCATION: asia-northeast1
+BUCKET: meeting-data
+WORKFLOW: mrt-workflow-create-minutes

functions/trigger-minutes-workflow-from-miitel/_scripts/deploy_dev.sh

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+#!/bin/bash
+
+# プロジェクトIDを設定
+PROJECT_ID="datacom-poc"
+
+# デプロイする関数名
+FUNCTION_NAME="mrt-trigger-minutes-workflow-from-miitel"
+
+# 関数のエントリポイント
+ENTRY_POINT="handle_request"
+
+# ランタイム
+RUNTIME="python312"
+
+# リージョン
+REGION="asia-northeast1"
+
+# 環境変数ファイル
+ENV_VARS_FILE=".env_dev"
+
+gcloud auth application-default set-quota-project $PROJECT_ID
+gcloud config set project $PROJECT_ID
+
+# デプロイコマンド
+gcloud functions deploy $FUNCTION_NAME \
+  --gen2 \
+  --region $REGION \
+  --runtime $RUNTIME \
+  --source=./source \
+  --trigger-http \
+  --no-allow-unauthenticated \
+  --entry-point $ENTRY_POINT \
+  --env-vars-file $ENV_VARS_FILE

functions/trigger-minutes-workflow-from-miitel/source/main.py

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+import functions_framework
+from google.cloud import storage
+from google.cloud.workflows import executions_v1
+from google.cloud.workflows.executions_v1.types import Execution
+import json
+import os
+import gzip
+
+
+# Storage クライアントを作成
+cs_client = storage.Client()
+wf_client = executions_v1.ExecutionsClient()
+
+@functions_framework.http
+def handle_request(request):
+    # POSTリクエストの処理
+    if request.method != 'POST':
+        # 他のメソッドに対するエラーレスポンス
+        return ({'error': 'Method not allowed'}, 405)
+    
+    try:
+        request_json = request.get_json()
+        print(request_json)
+
+
+        if "challenge" in request_json:
+            # MiiTelのチャレンジリクエストに対する応答
+            return (request_json["challenge"], 200, {'Content-Type':'text/plain'})
+
+        project_id = os.getenv("PROJECT_ID")
+        bucket_name = os.getenv("BUCKET") # 共有ドライブID
+        location = os.getenv("LOCATION") # ワークフローのロケーション
+        workflow = os.getenv("WORKFLOW") # ワークフロー名
+
+        # デバッグ用に保存
+        save_to_gcs(bucket_name,request_json)
+
+        # ワークフロー呼び出し
+        argument = json.dumps({"video": request_json["video"]})
+        execution = Execution(argument=argument)
+        parent = f"projects/{project_id}/locations/{location}/workflows/{workflow}"
+        print(parent)
+        response = wf_client.create_execution(request={"parent": parent, "execution": execution})
+        print(f"Workflow execution started: {response.name}")
+
+        return (json.dumps({}), 200, {'Content-Type': 'application/json'})
+    except Exception as e:
+        # エラー
+        error_response = {
+            "error": str(e) #エラー内容
+        }
+        print(str(e))
+        return json.dumps(error_response), 500, {'Content-Type': 'application/json'}    #エラー
+
+
+
+
+def save_to_gcs(bucket_name,request_json):
+    file_name = request_json["video"]["id"] +  ".json.gz"
+
+    bucket = cs_client.bucket(bucket_name)
+
+    # GCS バケットのブロブを取得
+    blob = bucket.blob(f"request_log/{file_name}")
+
+
+    # JSONを文字列に変換
+    json_string = json.dumps(request_json)
+
+    # Gzip圧縮
+    compressed_data = gzip.compress(json_string.encode('utf-8'))
+
+    # 圧縮されたデータをアップロード
+    blob.upload_from_string(compressed_data, content_type='application/gzip')
+

functions/trigger-minutes-workflow-from-miitel/source/requirements.txt

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+functions-framework==3.*
+Flask
+google-cloud-storage
+google-cloud-workflows