iris-fhirfy.postman_collection.json

{
	"info": {
		"_postman_id": "d390f3c1-55aa-476f-aa01-7f368c5002a7",
		"name": "iris-fhirfy",
		"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json",
		"_exporter_id": "3176642"
	},
	"item": [
		{
			"name": "analyze-data",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [
					{
						"key": "Content-Type",
						"value": "application/json",
						"type": "text"
					},
					{
						"key": "X-FHIRFY-LLM-PROVIDER",
						"value": "",
						"description": "gemini (default) | openai",
						"type": "text",
						"disabled": true
					},
					{
						"key": "X-FHIRFY-LLM-API-KEY",
						"value": "",
						"description": "You LLM service API key",
						"type": "text",
						"disabled": true
					}
				],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"rawData\": \"Patient ID,Namel\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\"\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/analyze-data",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"analyze-data"
					]
				}
			},
			"response": []
		},
		{
			"name": "http://localhost:32783/fhir/r4/Patient",
			"request": {
				"method": "GET",
				"header": [],
				"url": {
					"raw": "http://localhost:32783/fhir/r4/Patient",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"fhir",
						"r4",
						"Patient"
					]
				}
			},
			"response": []
		},
		{
			"name": "suggest-solution",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [
					{
						"key": "Content-Type",
						"value": "application/json",
						"type": "text"
					},
					{
						"key": "X-FHIRFY-LLM-PROVIDER",
						"value": "",
						"description": "gemini (default) | openai",
						"type": "text",
						"disabled": true
					},
					{
						"key": "X-FHIRFY-LLM-APIKEY",
						"value": "",
						"description": "You LLM service API key",
						"type": "text",
						"disabled": true
					}
				],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"rawData\": \"Patient ID,Namel\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\",\r\n        \"analysis\": \"**Data Structure and Content**\\n\\nThe provided data is a simple comma-separated value (CSV) file with two columns:\\n\\n* **Patient ID:** A unique identifier for each patient.\\n* **Name:** The patient's name.\\n\\n**Example Data**\\n\\n```\\nPatient ID,Name\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\\n```\\n\\n**Working with the Data**\\n\\nTo work with this data effectively, you can use a variety of tools and techniques. Some common options include:\\n\\n* **Spreadsheets:** You can import the CSV file into a spreadsheet program, such as Microsoft Excel or Google Sheets. This will allow you to view and manipulate the data in a tabular format.\\n* **Databases:** You can also import the CSV file into a database, such as MySQL or PostgreSQL. This will allow you to store and query the data in a structured way.\\n* **Programming Languages:** You can use a programming language, such as Python or Java, to read and parse the CSV file. This will give you the most flexibility in terms of how you work with the data.\\n\\n**Additional Notes**\\n\\n* The data is in a simple format, but it is important to note that the data may contain errors or inconsistencies.\\n* The data may also be missing important information, such as the patient's age or gender.\\n* It is important to clean and validate the data before using it for any analysis or decision-making.\"\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/suggest-solution",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"suggest-solution"
					]
				}
			},
			"response": []
		},
		{
			"name": "generate-module",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [
					{
						"key": "Content-Type",
						"value": "application/json",
						"type": "text"
					},
					{
						"key": "X-FHIRFY-LLM-PROVIDER",
						"value": "",
						"description": "gemini (default) | openai",
						"type": "text",
						"disabled": true
					},
					{
						"key": "X-FHIRFY-LLM-APIKEY",
						"value": "",
						"description": "You LLM service API key",
						"type": "text",
						"disabled": true
					}
				],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"analysis\": \"**Data Structure and Content**\\n\\nThe provided data is a simple comma-separated value (CSV) file with two columns:\\n\\n* **Patient ID:** A unique identifier for each patient.\\n* **Name:** The patient's name.\\n\\n**Example Data**\\n\\n```\\nPatient ID,Name\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\\n```\\n\\n**Working with the Data**\\n\\nTo work with this data effectively, you can use a variety of tools and techniques. Some common options include:\\n\\n* **Spreadsheets:** You can import the CSV file into a spreadsheet program, such as Microsoft Excel or Google Sheets. This will allow you to view and manipulate the data in a tabular format.\\n* **Databases:** You can also import the CSV file into a database, such as MySQL or PostgreSQL. This will allow you to store and query the data in a structured way.\\n* **Programming Languages:** You can use a programming language, such as Python or Java, to read and parse the CSV file. This will give you the most flexibility in terms of how you work with the data.\\n\\n**Additional Notes**\\n\\n* The data is in a simple format, but it is important to note that the data may contain errors or inconsistencies.\\n* The data may also be missing important information, such as the patient's age or gender.\\n* It is important to clean and validate the data before using it for any analysis or decision-making.\",\r\n        \"solutionSuggestion\": {\r\n            \"name\": \"FHIR Bundle Creator\",\r\n            \"description\": \"This solution will transform raw data into a FHIR Bundle resource.\",\r\n            \"subModules\": {\r\n                \"subModule\": [\r\n                    {\r\n                        \"name\": \"DataParser\",\r\n                        \"description\": \"Parses the raw data and extracts the patient ID and name.\"\r\n                    },\r\n                    {\r\n                        \"name\": \"FHIRBundleCreator\",\r\n                        \"description\": \"Creates a FHIR Bundle resource from the parsed data.\"\r\n                    }\r\n                ]\r\n            },\r\n            \"pseudoCode\": \"1. Use the DataParser sub module to parse the raw data and extract the patient ID and name.\\n2. Use the FHIRBundleCreator sub module to create a FHIR Bundle resource from the parsed data.\\n3. Save the FHIR Bundle resource to a file.\"\r\n        }\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/generate-module",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"generate-module"
					]
				}
			},
			"response": []
		},
		{
			"name": "get-mock-simple-csv",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "GET",
				"header": [],
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/mock/simple-csv",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"mock",
						"simple-csv"
					]
				}
			},
			"response": []
		},
		{
			"name": "analyze-data[simple-csv]",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"rawData\": \"Patient ID,Namel\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\"\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/analyze-data?mockName=simple-csv",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"analyze-data"
					],
					"query": [
						{
							"key": "mockName",
							"value": "simple-csv"
						}
					]
				}
			},
			"response": []
		},
		{
			"name": "suggest-solution[simple-csv]",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"rawData\": \"Patient ID,Namel\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\",\r\n        \"analysis\": \"**Data Structure and Content**\\n\\nThe provided data is a simple comma-separated value (CSV) file with two columns:\\n\\n* **Patient ID:** A unique identifier for each patient.\\n* **Name:** The patient's name.\\n\\n**Example Data**\\n\\n```\\nPatient ID,Name\\n1,John Doe\\n2,Jane Smith\\n3,Michael Johnson\\n4,Emily Williams\\n5,David Brown\\n```\\n\\n**Working with the Data**\\n\\nTo work with this data effectively, you can use a variety of tools and techniques. Some common options include:\\n\\n* **Spreadsheets:** You can import the CSV file into a spreadsheet program, such as Microsoft Excel or Google Sheets. This will allow you to view and manipulate the data in a tabular format.\\n* **Databases:** You can also import the CSV file into a database, such as MySQL or PostgreSQL. This will allow you to store and query the data in a structured way.\\n* **Programming Languages:** You can use a programming language, such as Python or Java, to read and parse the CSV file. This will give you the most flexibility in terms of how you work with the data.\\n\\n**Additional Notes**\\n\\n* The data is in a simple format, but it is important to note that the data may contain errors or inconsistencies.\\n* The data may also be missing important information, such as the patient's age or gender.\\n* It is important to clean and validate the data before using it for any analysis or decision-making.\"\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/suggest-solution?mockName=simple-csv",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"suggest-solution"
					],
					"query": [
						{
							"key": "mockName",
							"value": "simple-csv"
						}
					]
				}
			},
			"response": []
		},
		{
			"name": "generate-module[simple-csv]",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "POST",
				"header": [],
				"body": {
					"mode": "raw",
					"raw": "{\r\n    \"input\": {\r\n        \"solutionSuggestion\": {\r\n            \"name\": \"FHIR Bundle Creator\",\r\n            \"description\": \"This solution will transform raw data into a FHIR Bundle resource.\",\r\n            \"subModules\": {\r\n                \"subModule\": [\r\n                    {\r\n                        \"name\": \"DataParser\",\r\n                        \"description\": \"Parses the raw data and extracts the patient ID and name.\"\r\n                    },\r\n                    {\r\n                        \"name\": \"FHIRBundleCreator\",\r\n                        \"description\": \"Creates a FHIR Bundle resource from the parsed data.\"\r\n                    }\r\n                ]\r\n            },\r\n            \"pseudoCode\": \"1. Use the DataParser sub module to parse the raw data and extract the patient ID and name.\\n2. Use the FHIRBundleCreator sub module to create a FHIR Bundle resource from the parsed data.\\n3. Save the FHIR Bundle resource to a file.\"\r\n        }\r\n    }\r\n}",
					"options": {
						"raw": {
							"language": "json"
						}
					}
				},
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/generate-module?mockName=simple-csv",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"generate-module"
					],
					"query": [
						{
							"key": "mockName",
							"value": "simple-csv"
						}
					]
				}
			},
			"response": []
		},
		{
			"name": "/download",
			"request": {
				"auth": {
					"type": "basic",
					"basic": [
						{
							"key": "password",
							"value": "SYS",
							"type": "string"
						},
						{
							"key": "username",
							"value": "_system",
							"type": "string"
						}
					]
				},
				"method": "GET",
				"header": [],
				"url": {
					"raw": "http://localhost:32783/csp/api/dc/fhirfy/download?moduleName=fhir_bundle_creator",
					"protocol": "http",
					"host": [
						"localhost"
					],
					"port": "32783",
					"path": [
						"csp",
						"api",
						"dc",
						"fhirfy",
						"download"
					],
					"query": [
						{
							"key": "moduleName",
							"value": "fhir_bundle_creator"
						}
					]
				}
			},
			"response": []
		}
	],
	"auth": {
		"type": "basic",
		"basic": [
			{
				"key": "password",
				"value": "SYS",
				"type": "string"
			},
			{
				"key": "username",
				"value": "_system",
				"type": "string"
			}
		]
	},
	"event": [
		{
			"listen": "prerequest",
			"script": {
				"type": "text/javascript",
				"exec": [
					""
				]
			}
		},
		{
			"listen": "test",
			"script": {
				"type": "text/javascript",
				"exec": [
					""
				]
			}
		}
	]
}