Extrahiere Bauplankdaten mit VLM Run und Microsoft Office Suite

• •Keine besonderen Voraussetzungen, sofort nach Import nutzbar

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        "content": "# Construction Blueprint Processing with VLM Run\n\nAutomatically extracts structured construction blueprint details from uploaded documents in OneDrive and saves them into an Excel Sheet for tracking, compliance, or reporting.\n\n## Workflow\n\n1. 📂 Detect file upload in OneDrive\n2. ⬇️ Download the uploaded document\n3. 🤖 Convert document to structured text using VLM Run (`construction.blueprint`)\n4. 📊 Append extracted order data to Excel Sheet\n\n## Perfect for\n\n* Construction blueprint processing\n* Architectural plan reviews\n* Engineering drawing requests\n* Permit and regulatory submission workflows\n* Automated compliance documentation\n\n## Requirements\n\n* VLM Run API access\n* OneDrive + Excel OAuth2\n* n8n server with active workflow"
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        "content": "# Append Row in Excel Sheet\n\n**Function:** Appends extracted structured data into an Excel Sheet.\n\n* Columns could be: Project Details, Document Type, Document Number, Issue Date, Author's Name, Drawing Title Numbers, Revision History, Annotations Markups, Job Name\n\n**Benefit:** Provides a structured, continuously updated database for tracking blueprints\n"
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        "content": "# 📁 Input Processing\n\n**Monitors & downloads blueprint files from OneDrive.**\n\n**Process:**\n1. Watches designated Drive folder\n2. Auto-triggers on new uploads\n3. Downloads files for AI processing\n\n**Supported Formats:**\n- Images (JPG, PNG, WEBP)\n- PDF documents\n- Mobile camera uploads\n- Scanned receipts"
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        "content": "# VLM Run (Document)\n\n**Function:** Sends the blueprint file to VLM Run under the category `construction.blueprint`.\n\n* Extracts structured details such as:\n\n  * Project name, address, permit ID\n  * Drawing elements (dimensions, materials, quantities, compliance flags)\n  * Architect/engineer details (name, license number, approval date)\n\n**Benefit:** Turns complex construction blueprints into machine-readable JSON\n"
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              "column": "PROJECT DETAILS",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.project_details) }}\n"
            },
            {
              "column": "DOCUMENT TYPE",
              "fieldValue": "={{ $json.response.document_metadata.document_type }}"
            },
            {
              "column": "DOCUMENT NUMBER",
              "fieldValue": "={{ $json.response.document_metadata.document_number }}"
            },
            {
              "column": "ISSUE DATE",
              "fieldValue": "={{ $json.response.document_metadata.issue_date }}"
            },
            {
              "column": "AUTHOR'S NAME",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.document_metadata?.author) }}\n"
            },
            {
              "column": "DRAWING TITLE NUMBERS",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.drawing_titles_numbers) }}\n"
            },
            {
              "column": "SCALE LEGENDS",
              "fieldValue": "={{ $json.response.drawings_blueprints.scale_legends }}"
            },
            {
              "column": "REVISION HISTORY",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.revision_history) }}\n"
            },
            {
              "column": "ANNOTATIONS MARKUPS",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.drawings_blueprints?.annotations_markups) }}\n"
            },
            {
              "column": "JOB NAME",
              "fieldValue": "={{ $json.response.title_block.job_name }}"
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            {
              "column": "ADDRESS",
              "fieldValue": "={{ (v => {\n  const S = x =>\n    x == null ? '' :\n    Array.isArray(x)\n      ? x.map(S).map(s => String(s).trim()).filter(Boolean).join(',\\n')\n      : typeof x === 'object'\n        ? Object.entries(x)\n            .filter(([_, val]) => {\n              if (val == null) return false\n              if (typeof val === 'string') return val.trim() !== ''\n              if (Array.isArray(val)) return val.map(S).some(s => String(s).trim() !== '')\n              if (typeof val === 'object') return Object.keys(val).length > 0\n              return true\n            })\n            .map(([k, val]) => {\n              const sv = S(val)\n              return sv ? `${k}: ${sv}` : ''\n            })\n            .filter(Boolean)\n            .join(',\\n')\n        : String(x).trim()\n  return S(v)\n})($json.response?.title_block?.address) }}\n"
            },
            {
              "column": "DRAWING NUMBER",
              "fieldValue": "={{ $json.response.title_block.drawing_number }}"
            },
            {
              "column": "REVISION",
              "fieldValue": "={{ $json.response.title_block.revision }}"
            },
            {
              "column": "DRAWN BY",
              "fieldValue": "={{ $json.response.title_block.drawn_by }}"
            },
            {
              "column": "CHECKED BY",
              "fieldValue": "={{ $json.response.title_block.checked_by }}"
            },
            {
              "column": "SCALE",
              "fieldValue": "={{ $json.response.title_block.scale }}"
            },
            {
              "column": "AGENCY NAME",
              "fieldValue": "={{ $json.response.title_block.agency_name }}"
            },
            {
              "column": "DOCUMENT TITLE",
              "fieldValue": "={{ $json.response.title_block.document_title }}"
            },
            {
              "column": "OTHER METADATA",
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            },
            {
              "column": "DRAWING TYPE",
              "fieldValue": "={{ $json.response.drawing_type }}"
            },
            {
              "column": "LEGAL COMPLIANCE",
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            },
            {
              "column": "SCALE INFORMATION",
              "fieldValue": "={{ $json.response.scale_information }}"
            }
          ]
        },
        "resource": "worksheet",
        "workbook": {
          "__rl": true,
          "mode": "list",
          "value": "AE5A9F7C8F06E9ED!sc46f0642e32643ada075b983e522bdc7",
          "cachedResultUrl": "https://onedrive.live.com/personal/ae5a9f7c8f06e9ed/_layouts/15/doc.aspx?resid=c46f0642-e326-43ad-a075-b983e522bdc7&cid=ae5a9f7c8f06e9ed",
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