{
  "id": "Ef2uEM6H19K2DGUO",
  "meta": {
    "templateId": "2532",
    "templateCredsSetupCompleted": true
  },
  "name": "Backup workflows to git repository on Gitea",
  "tags": [
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      "createdAt": "2025-01-28T23:10:06.823Z",
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      ],
      "parameters": {
        "language": "python",
        "pythonCode": "import json\nimport base64\nfrom js import Object\n\n# Assuming _input.all() returns a JavaScript object\njs_object = _input.all()\n\n# Convert the JsProxy object to a Python dictionary\ndef js_to_py(js_obj):\n    if isinstance(js_obj, (str, int, float, bool)) or js_obj is None:\n        # Base types are already Python-compatible\n        return js_obj\n    elif isinstance(js_obj, list):\n        # Convert lists recursively\n        return [js_to_py(item) for item in js_obj]\n    elif hasattr(js_obj, \"__iter__\") and not isinstance(js_obj, str):\n        # Handle JsProxy objects (JavaScript objects or arrays)\n        if hasattr(js_obj, \"keys\"):\n            # If it has keys, treat it as a dictionary\n            return {key: js_to_py(js_obj[key]) for key in Object.keys(js_obj)}\n        else:\n            # Otherwise, treat it as a list\n            return [js_to_py(item) for item in js_obj]\n    else:\n        # Fallback for other types\n        return js_obj\n\n# Convert the JavaScript object to a Python dictionary\ninput_dict = js_to_py(js_object)\n\n# Step 0: get the correct data set of the workflow\ninner_data = input_dict[0].get('json').get('item')\n\n# Step 1: Convert the dictionary to a pretty-printed JSON string\njson_string = json.dumps(inner_data, indent=4)\n\n# Step 2: Encode the JSON string to bytes\njson_bytes = json_string.encode('utf-8')\n\n# Step 3: Convert the bytes to a base64 string\nbase64_string = base64.b64encode(json_bytes).decode('utf-8')\n\n# Step 5: Create the return object with the base64 string and its SHA-256 hash\nreturn_object = {\n    \"item\": base64_string\n}\n\n# Return the object\nreturn return_object"
      },
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      "name": "Base64EncodeCreate",
      "type": "n8n-nodes-base.code",
      "position": [
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      "parameters": {
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        "pythonCode": "import json\nimport base64\nfrom js import Object\n\n# Assuming _input.all() returns a JavaScript object\njs_object = _input.all()\n\n# Convert the JsProxy object to a Python dictionary\ndef js_to_py(js_obj):\n    if isinstance(js_obj, (str, int, float, bool)) or js_obj is None:\n        # Base types are already Python-compatible\n        return js_obj\n    elif isinstance(js_obj, list):\n        # Convert lists recursively\n        return [js_to_py(item) for item in js_obj]\n    elif hasattr(js_obj, \"__iter__\") and not isinstance(js_obj, str):\n        # Handle JsProxy objects (JavaScript objects or arrays)\n        if hasattr(js_obj, \"keys\"):\n            # If it has keys, treat it as a dictionary\n            return {key: js_to_py(js_obj[key]) for key in Object.keys(js_obj)}\n        else:\n            # Otherwise, treat it as a list\n            return [js_to_py(item) for item in js_obj]\n    else:\n        # Fallback for other types\n        return js_obj\n\n# Convert the JavaScript object to a Python dictionary\ninput_dict = js_to_py(js_object)\n\n# Step 0: get the correct data set of the workflow\ninner_data = input_dict[0].get('json').get('item')\n\n# Step 1: Convert the dictionary to a pretty-printed JSON string\njson_string = json.dumps(inner_data, indent=4)\n\n# Step 2: Encode the JSON string to bytes\njson_bytes = json_string.encode('utf-8')\n\n# Step 3: Convert the bytes to a base64 string\nbase64_string = base64.b64encode(json_bytes).decode('utf-8')\n\n# Step 4: Create the return object with the base64 string in 'item'\nreturn_object = {\n    \"item\": base64_string\n}\n\n# Return the object\nreturn return_object"
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    {
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      "name": "Exist",
      "type": "n8n-nodes-base.if",
      "position": [
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      ],
      "parameters": {
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        },
        "conditions": {
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            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
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          "combinator": "or",
          "conditions": [
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              },
              "leftValue": "={{ $json.error }}",
              "rightValue": 404
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      "alwaysOutputData": false
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            }
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        "url": "={{ $('Globals').item.json.repo.url }}/api/v1/repos/{{ $('Globals').item.json.repo.owner }}/{{ $('Globals').item.json.repo.name }}/contents/{{ encodeURIComponent($('ForEach').item.json.name) }}.json",
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        "content": "### **📌 Setup Guide for Backup Workflows to Git Repository on Gitea**\n\n#### **🔧 1. Configure Global Variables**\nGo to the **Globals** node and update the following:\n- **`repo.url`** → `https://your-gitea-instance.com` *(Replace with your actual Gitea URL)*\n- **`repo.name`** → `workflows` *(Repository name where backups will be stored)*\n- **`repo.owner`** → `octoleo` *(Gitea account that owns the repository)*\n\n📌 **These settings define where workflows will be backed up.**\n\n---\n\n#### **🔑 2. Set Up Gitea Authentication**\n1️⃣ **In Gitea:**\n- Generate a **Personal Access Token** under **Settings → Applications → Generate Token**\n- Ensure the token has **repo read/write permissions**\n\n2️⃣ **In the Credentials Manager:**\n- Create a new **Gitea Token** credential\n- Set the **Name** as `Authorization`\n- Set the **Value** as:\n```\nBearer YOUR_PERSONAL_ACCESS_TOKEN\n```\n📌 **Ensure there is a space after `Bearer` before the token!**\n\n---\n\n#### **🔗 3. Connect Gitea Credentials to Git Nodes**\n- Open each of these **three Git nodes**:\n- **GetGitea** → Retrieves existing repository data\n- **PutGitea** → Updates workflows\n- **PostGitea** → Adds new workflows\n\n- Assign the **Gitea Token** credential to each node.\n\n📌 **These nodes handle pushing your workflows to Gitea.**\n\n---\n\n#### **🌐 4. Set Up API Credentials for Workflow Retrieval**\n- Locate the API request node that **fetches workflows**.\n- Add your **API authentication credentials** (Token or Basic Auth).\n\n📌 **This ensures the workflow can fetch all available workflows from your system.**\n\n---\n\n#### **🛠️ 5. Test & Activate the Workflow**\n✅ **Run the workflow manually** → Check that workflows are being backed up correctly.\n✅ **Review the Gitea repository** → Ensure the files are updated.\n✅ **Enable the scheduled trigger** → Automates backups at defined intervals.\n\n📌 **The workflow automatically checks for changes before committing updates!**\n\n---\n\n### **🚀 Done! Your Workflows Are Now Backed Up Securely!**\n💬 Have issues? **Reach out on the forum for help!**"
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