interview-assistant/docs/n8n-cv-analysis-workflow.json

{
  "name": "CV Interview Assistant",
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "cv-analysis",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "f8b4c5d6-7890-1234-5678-90abcdef1234",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1.1,
      "position": [240, 300],
      "webhookId": "cv-analysis-webhook"
    },
    {
      "parameters": {
        "jsCode": "// Extract and structure CV data for AI processing\nconst input = $input.first().json;\nconst cvProfile = input.cvProfile || {};\nconst personalInfo = cvProfile.personalInfo || {};\nconst skills = cvProfile.skills || [];\nconst experience = cvProfile.experience || [];\nconst education = cvProfile.education || [];\n\n// Extract key information\nconst candidateName = personalInfo.fullName || 'Candidate';\nconst skillNames = skills.map(s => s.name).filter(Boolean);\nconst technicalSkills = skills.filter(s => s.category === 'technical').map(s => s.name);\nconst yearsExperience = Math.max(...skills.map(s => s.yearsOfExperience || 0), 0);\nconst totalPositions = experience.length;\nconst educationLevel = education.length > 0 ? education[0].degree : 'Not specified';\n\n// Create structured prompt data\nconst promptData = {\n  analysisId: input.analysisId,\n  candidateName: candidateName,\n  email: personalInfo.email || '',\n  skills: skillNames,\n  technicalSkills: technicalSkills,\n  yearsExperience: yearsExperience,\n  totalPositions: totalPositions,\n  educationLevel: educationLevel,\n  fullCvText: cvProfile.parsedText || '',\n  experienceSummary: experience.map(exp => `${exp.jobTitle} at ${exp.company} (${exp.duration})`).join('; '),\n  skillsSummary: skills.map(s => `${s.name}${s.yearsOfExperience ? ` (${s.yearsOfExperience} years)` : ''}`).join(', ')\n};\n\nreturn [{ json: promptData }];"
      },
      "id": "a1b2c3d4-5678-9012-3456-789abcdef012",
      "name": "Extract CV Data",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [460, 300]
    },
    {
      "parameters": {
        "resource": "chat",
        "operation": "create",
        "model": "gpt-4",
        "messages": {
          "values": [
            {
              "role": "system",
              "content": "You are an expert interview question generator. Create relevant, insightful interview questions based on the candidate's CV profile."
            },
            {
              "role": "user",
              "content": "Generate 10 diverse interview questions for this candidate profile:\n\n**Candidate:** {{$json.candidateName}}\n**Email:** {{$json.email}}\n**Experience:** {{$json.yearsExperience}} years total, {{$json.totalPositions}} positions\n**Education:** {{$json.educationLevel}}\n**Technical Skills:** {{$json.technicalSkills.join(', ')}}\n**All Skills:** {{$json.skillsSummary}}\n**Experience Summary:** {{$json.experienceSummary}}\n\n**Full CV Content:**\n{{$json.fullCvText}}\n\n---\n\nGenerate exactly 10 questions covering:\n- 4 Technical questions (specific to their skills/experience)\n- 3 Behavioral questions (leadership, teamwork, problem-solving)\n- 2 Scenario-based questions (hypothetical situations)\n- 1 Career/Growth question\n\nReturn ONLY a valid JSON array with this exact format:\n```json\n[\n  {\n    \"id\": 1,\n    \"question\": \"Detailed question text here\",\n    \"category\": \"technical\",\n    \"difficulty\": \"medium\",\n    \"expectedSkills\": [\"JavaScript\", \"Problem Solving\"],\n    \"reasoning\": \"Why this question is relevant to the candidate\"\n  }\n]\n```\n\nEnsure questions are:\n- Specific to the candidate's actual experience\n- Appropriate difficulty level\n- Clear and actionable\n- Professional and respectful"
            }
          ]
        },
        "options": {
          "temperature": 0.7,
          "maxTokens": 2000
        }
      },
      "id": "b2c3d4e5-6789-0123-4567-89abcdef0123",
      "name": "Generate Questions (OpenAI)",
      "type": "n8n-nodes-base.openAi",
      "typeVersion": 1.3,
      "position": [680, 300]
    },
    {
      "parameters": {
        "jsCode": "// Parse and validate AI response\nconst aiResponse = $input.first().json.choices[0].message.content;\nconst extractData = $('Extract CV Data').first().json;\n\ntry {\n  // Extract JSON from AI response (handle markdown code blocks)\n  let jsonStr = aiResponse;\n  if (aiResponse.includes('```json')) {\n    const start = aiResponse.indexOf('```json') + 7;\n    const end = aiResponse.lastIndexOf('```');\n    jsonStr = aiResponse.substring(start, end).trim();\n  }\n  \n  const questions = JSON.parse(jsonStr);\n  \n  // Validate and enhance questions\n  const validatedQuestions = questions.map((q, index) => ({\n    id: q.id || (index + 1),\n    question: q.question || 'Question not generated',\n    category: q.category || 'general',\n    difficulty: q.difficulty || 'medium',\n    expectedSkills: Array.isArray(q.expectedSkills) ? q.expectedSkills : [],\n    reasoning: q.reasoning || 'Standard interview question',\n    generatedAt: new Date().toISOString()\n  }));\n  \n  // Generate question bank ID\n  const questionBankId = `qb_${extractData.analysisId}_${Date.now()}`;\n  \n  return [{\n    json: {\n      status: 'completed',\n      analysisId: extractData.analysisId,\n      questionBankId: questionBankId,\n      questionsGenerated: validatedQuestions.length,\n      candidateName: extractData.candidateName,\n      questions: validatedQuestions,\n      metadata: {\n        skillsAnalyzed: extractData.skills.length,\n        experienceYears: extractData.yearsExperience,\n        processingTime: new Date().toISOString()\n      }\n    }\n  }];\n  \n} catch (error) {\n  // Handle parsing errors gracefully\n  return [{\n    json: {\n      status: 'failed',\n      analysisId: extractData.analysisId,\n      error: 'Failed to generate questions',\n      errorDetails: error.message,\n      fallbackQuestions: [\n        {\n          id: 1,\n          question: `Tell me about your experience with ${extractData.technicalSkills[0] || 'your main technology stack'}.`,\n          category: 'technical',\n          difficulty: 'medium',\n          expectedSkills: extractData.technicalSkills.slice(0, 2),\n          reasoning: 'Fallback technical question'\n        },\n        {\n          id: 2,\n          question: 'Describe a challenging project you worked on and how you overcame obstacles.',\n          category: 'behavioral',\n          difficulty: 'medium',\n          expectedSkills: ['Problem Solving', 'Communication'],\n          reasoning: 'Fallback behavioral question'\n        }\n      ]\n    }\n  }];\n}"
      },
      "id": "c3d4e5f6-7890-1234-5678-9abcdef01234",
      "name": "Process AI Response",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [900, 300]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{$json}}",
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "application/json"
              },
              {
                "name": "Access-Control-Allow-Origin",
                "value": "*"
              },
              {
                "name": "Access-Control-Allow-Methods",
                "value": "POST, OPTIONS"
              },
              {
                "name": "Access-Control-Allow-Headers",
                "value": "Content-Type, Authorization"
              }
            ]
          }
        }
      },
      "id": "d4e5f6g7-8901-2345-6789-abcdef012345",
      "name": "Return Response",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [1120, 300]
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict"
          },
          "conditions": [
            {
              "id": "error-condition",
              "leftValue": "={{$json.status}}",
              "rightValue": "failed",
              "operator": {
                "type": "string",
                "operation": "equals"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "id": "e5f6g7h8-9012-3456-7890-bcdef0123456",
      "name": "Check for Errors",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2,
      "position": [1120, 480]
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Extract CV Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract CV Data": {
      "main": [
        [
          {
            "node": "Generate Questions (OpenAI)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Questions (OpenAI)": {
      "main": [
        [
          {
            "node": "Process AI Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Process AI Response": {
      "main": [
        [
          {
            "node": "Return Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "staticData": null,
  "tags": [
    {
      "id": "interview-assistant",
      "name": "Interview Assistant"
    }
  ],
  "triggerCount": 1,
  "updatedAt": "2025-09-16T22:00:00.000Z",
  "versionId": "1"
}