Symptoms API

README.md

@@ -11,7 +11,7 @@
 ## run Server
 
 - .\env\Scripts\activate
-- uvicorn index:app --reload
+- uvicorn main:app --reload
 
 
 ## Export Dependencies

config/data.json

+{"23,2,8,9,11,12,68,15": "Acne Symptoms", "4,28,0,0,0,0,0,0": "Rosacea Symptoms", "53,32,6,21,39,0,0,0": "actinic keratosis symptoms", "84,81,82,72,85,0,0,0": "Atopic dermatitis", "37,42,55,27,0,0,0,0": "Bullous disease symptoms", "49,61,63,46,67,31,51,16": "Cellulitis Symptoms", "86,76,73,78,0,0,0,0": "Eczema Symptoms", "33,10,30,57,0,0,0,0": "Exanthems Symptoms", "56,47,34,70,7,5,0,0": "Alopecia symptoms", "75,71,45,13,0,0,0,0": "Herpes HPV symptoms", "79,77,74,83,0,0,0,0": "Light Disease Symptoms", "44,48,20,35,60,41,43,0": "lupus symptoms", "1,18,22,3,29,0,0,0": "melanoma symptoms", "66,69,19,25,14,59,0,0": "Nail Fungus symptoms", "52,40,61,17,24,0,0,0": "poison ivy symptoms", "50,58,26,38,65,62,0,0": "psoriasis symptoms", "36,80,54,64,0,0,0,0": "Scabies symptoms"}
\ No newline at end of file

main.py

 from fastapi import FastAPI
 from routes.disease import disease
 from routes.doctor import doctor
+from routes.prediction import prediction
 
 app = FastAPI()
 app.include_router(disease)
 app.include_router(doctor)
-
+app.include_router(prediction)

requirements.txt

 asgiref==3.4.1

routes/prediction.py

+from typing import List
+from fastapi import APIRouter
+from os import error
+import pandas as pd
+import numpy as np
+import json
+import os
+
+prediction = APIRouter()
+
+def load_data_json(path=''):
+  with open(path, 'r') as fp:
+    data = json.load(fp)
+  fp.close()
+  return data
+
+@prediction.get('/api/predictions/symptoms')
+async def predict_symptoms():
+    try:
+        data = load_data_json('../config/data.json')
+        threshold = 0.5
+        input = set([79,77])
+        output = []
+        for key in data.keys():
+            numbers = [int(i) for i in key.split(',') if int(i) != 0]
+            lenght = len(numbers)
+            score = len(list(input&set(numbers)))/lenght
+            if score>=threshold:
+                output.append(data.get(key))
+                
+        return {"success": True, "result": output}  
+        
+    except error: 
+        return {"success": False, "msg": error}
+
+
+