Postman_Collection.json

{
  "info": {
    "name": "Intent-Aware Context-Preserving Summarization System - API Tests",
    "description": "Essential API tests for document summarization with intent and context preservation",
    "version": "1.0.0",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "item": [
    {
      "name": "✅ Health Check",
      "request": {
        "method": "GET",
        "url": "http://localhost:8000/health"
      },
      "event": [
        {
          "listen": "test",
          "script": {
            "exec": ["pm.test('API is healthy', function() { pm.response.to.have.status(200); });"]
          }
        }
      ]
    },
    {
      "name": "📚 Get Languages",
      "request": {
        "method": "GET",
        "url": "http://localhost:8000/languages"
      }
    },
    {
      "name": "🎯 Get Intents",
      "request": {
        "method": "GET",
        "url": "http://localhost:8000/intents"
      }
    },
    {
      "name": "📝 Test 1: Short Document",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"document\": \"Machine learning enables systems to learn from data.\", \"intent\": \"technical_overview\", \"language\": \"english\"}"
        },
        "url": "http://localhost:8000/summarize"
      },
      "event": [
        {
          "listen": "test",
          "script": {
            "exec": [
              "pm.test('Summary generated', function() {",
              "  pm.response.to.have.status(200);",
              "  var data = pm.response.json();",
              "  pm.expect(data.summary).to.exist;",
              "  console.log('Summary: ' + data.summary);",
              "});"
            ]
          }
        }
      ]
    },
    {
      "name": "📝 Test 2: Medium Document",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"document\": \"Deep learning is a subset of machine learning using neural networks with multiple layers. It has achieved state-of-the-art performance on computer vision, NLP, and speech recognition tasks.\", \"intent\": \"technical_overview\", \"language\": \"english\", \"quality_preference\": \"balanced\"}"
        },
        "url": "http://localhost:8000/summarize"
      }
    },
    {
      "name": "📝 Test 3: Long Document (RAG)",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"document\": \"Transformers have revolutionized NLP. The architecture uses self-attention mechanisms to compute representations. Each layer has multi-head self-attention and feed-forward networks. The encoder maps input to continuous representation while decoder generates output. BERT, GPT, and modern models use transformers. They achieve state-of-the-art results on machine translation, classification, QA, NER, and similarity tasks. Attention allows focusing on relevant parts. Self-attention learns dependencies regardless of distance. Position encoding injects relative position info. Layer normalization and residuals stabilize training. Transformers scale to billions of parameters like GPT-3. Pre-training on large corpora then fine-tuning is the dominant paradigm. Knowledge distillation creates efficient smaller versions.\", \"intent\": \"detailed_analysis\", \"language\": \"english\", \"quality_preference\": \"quality\"}"
        },
        "url": "http://localhost:8000/summarize"
      }
    },
    {
      "name": "📦 Test 4: Batch (3 docs)",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"documents\": [\"Machine learning is AI.\", \"Deep learning uses networks.\", \"NLP processes language.\"], \"intent\": \"technical_overview\"}"
        },
        "url": "http://localhost:8000/batch-summarize"
      },
      "event": [
        {
          "listen": "test",
          "script": {
            "exec": [
              "pm.test('Batch returns 3 summaries', function() {",
              "  pm.response.to.have.status(200);",
              "  var data = pm.response.json();",
              "  pm.expect(data.count).to.equal(3);",
              "});"
            ]
          }
        }
      ]
    },
    {
      "name": "🌐 Test 5: Spanish Language",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"document\": \"El aprendizaje automático es una rama de la inteligencia artificial. Permite que los sistemas aprendan de datos sin programación explícita.\", \"language\": \"spanish\", \"intent\": \"technical_overview\"}"
        },
        "url": "http://localhost:8000/summarize"
      }
    },
    {
      "name": "⚡ Test 6: Speed Mode",
      "request": {
        "method": "POST",
        "header": [{"key": "Content-Type", "value": "application/json"}],
        "body": {
          "mode": "raw",
          "raw": "{\"document\": \"AI is transforming technology.\", \"quality_preference\": \"speed\"}"
        },
        "url": "http://localhost:8000/summarize"
      },
      "event": [
        {
          "listen": "test",
          "script": {
            "exec": [
              "pm.test('Speed mode < 2s', function() {",
              "  pm.expect(pm.response.responseTime).to.be.below(2000);",
              "});"
            ]
          }
        }
      ]
    }
  ],
  "variable": [
    {
      "key": "base_url",
      "value": "http://localhost:8000",
      "type": "string"
    },
    {
      "key": "testDoc1",
      "value": "",
      "type": "string"
    }
  ]
}