Tutoriel pour débutants : Utiliser n8n pour gérer les buckets et les objets de Google Cloud Storage

• •Clé API OpenAI

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        "content": "# Beginner’s Tutorial: Manage Google Cloud Storage Buckets and Objects with n8n\n\n## **Who’s it for**\n- Beginners who want to learn how to automate Google Cloud Storage (GCS) operations with n8n.  \n- Developers who want to combine **AI image generation** with **cloud storage management**.  \n- Anyone looking for a simple introduction to working with **Buckets** and **Objects** in GCS.  \n\n## **How it works / What it does**\nThis workflow demonstrates end-to-end usage of **Google Cloud Storage** with AI integration:  \n\n1. **Trigger:** Start manually by clicking *Execute Workflow*.  \n2. **Edit Fields:** Provide input values (e.g., bucket name or image description).  \n3. **List Buckets:** Retrieve all existing buckets in the project (branch: view only).  \n4. **Create Bucket:** If needed, create a new bucket to store objects.  \n5. **Prompt Generation Agent:** Use an AI model to generate a creative text prompt.  \n6. **Generate Image:** Convert the AI-generated prompt into an image.  \n7. **Upload Object:** Store the generated image as an object in the selected bucket.  \n8. **Delete Object:** Clean up by removing the uploaded object if required.  \n\nThis shows the full lifecycle: *Bucket → Object (Create/Upload/Delete)* combined with AI image generation.  \n\n## **How to set up**\n1. **Trigger the workflow:** Use the *When clicking Execute workflow* node to start manually.  \n2. **Provide inputs:** In *Edit Fields*, specify details such as bucket name or description text for the image.  \n3. **List buckets:** Use the *List Buckets* node to see what exists.  \n4. **Create a bucket:** Use *Create Bucket* if you want a new storage bucket.  \n5. **Generate prompt & image:**  \n   - The *Prompt Generation Agent* uses an OpenAI Chat Model to create an image prompt.  \n   - The *Generate an Image* node turns this prompt into an actual image.  \n6. **Upload to bucket:** Use *Create Object* to upload the generated image into your GCS bucket.  \n7. **Delete object (optional):** Use *Delete Object* to remove the file from the bucket as a cleanup step.  \n\n## **Requirements**\n- An active **Google Cloud account** with **Cloud Storage API enabled**.  \n- A **Service Account Key (JSON)** credential added in n8n for GCS.  \n- An **OpenAI API Key** configured in n8n for the prompt and image generation nodes.  \n- Basic familiarity with running workflows in n8n.  \n  \n## **How to customize the workflow**\n- **Different object types:** Instead of images, upload PDFs, logs, or text files.  \n- **Automatic cleanup:** Skip the delete step if you want objects to persist.  \n- **Schedule trigger:** Replace manual execution with a weekly or daily schedule.  \n- **Dynamic prompts:** Accept user input from a form or webhook to generate images.  \n- **Multi-bucket management:** Extend the logic to manage multiple buckets across projects.  \n- **Notifications:** Add a Slack/Email step after upload to notify your team with the object URL.  \n\n✅ By the end of this tutorial, you’ll understand how to:  \n- Work with **Buckets** (list, create).  \n- Work with **Objects** (upload, delete).  \n- Integrate **AI image generation** with Google Cloud Storage.  "
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        "content": "### 1. Start the Workflow\nBegin by manually executing the workflow. This helps you test and understand each step before automating it with a schedule."
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        "content": "### 2. Provide Input Fields\nFill in the required fields such as the bucket name and image description. These inputs will guide how the workflow runs."
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        "content": "### 3. List all the current Google Cloud Storage buckets \nList all the current Google Cloud Storage buckets in your project. This lets you see what’s already available before creating new ones.\n\n"
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        "content": "### 4. Create a New Bucket\nIf the bucket you want does not exist, the workflow can create a new bucket for you automatically."
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        "content": "\n### 5. Generate an AI Prompt\n- Use the AI agent to turn your simple input into a more descriptive or creative prompt. This will be used for image generation.\n- Send the AI-generated prompt to the image generation node and produce an image file."
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        "content": "### 7. Upload the Image to a Bucket\nTake the generated image and upload it as an object inside your chosen Google Cloud Storage bucket."
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        "content": "### 8. Delete the Object (Optional)\nIf you no longer need the file, the workflow can also remove the object from the bucket to keep storage clean."
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