initial commit again

Dockerfile

@@ -10,6 +10,8 @@ RUN useradd -m -u 1000 user
 
 USER user
 
+EXPOSE 7860
+
 ENV HOME=/home/user \
  PATH=/home/user/.local/bin:$PATH
 

README.md

@@ -1,10 +1,2 @@
----
-title: Search Api Test
-emoji: 📉
-colorFrom: green
-colorTo: green
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## Search API
+- Demand Assessment 

apps/demand_assessment/DemandAssessment.py

@@ -0,0 +1,42 @@
+import pandas as pd
+
+
+class DemandAssessment:
+    def __init__(self):
+        self.raw_score = pd.read_csv("data/demand_raw.csv")
+
+    def print_data(self):
+        return self.raw_score
+
+    def get_demand_score(self, region, city, district):
+        def calculate_normalized_score(score: float, flag: str ) -> str:
+            map = dict(city=[0, 2.70238], region=[0, 1.234568], country=[0, 0.289575])
+            threshold = map[flag]
+            if score >= threshold[1]:
+                return "High"
+            elif threshold[0] < score < threshold[1]:
+                return "Moderate"
+            else:
+                return "Low"
+
+        if region:
+            temp = self.raw_score[
+                (self.raw_score["Region"] == region) &
+                (self.raw_score["City"] == city) &
+                (self.raw_score["District"] == district)
+                ]
+        else:
+            temp = self.raw_score[
+                (self.raw_score["City"] == city) &
+                (self.raw_score["District"] == district)
+                ]
+        temp = temp.iloc[0]
+
+        return {
+            "City_Normalized_Score": temp["City Scaled Score"],
+            "Region_Normalized_Score": temp["Region Scaled Score"],
+            "Country_Normalized_Score": temp["Region Scaled Score"],
+            "City_Demand_Label": calculate_normalized_score(temp["City Scaled Score"], "city"),
+            "Region_Demand_Label": calculate_normalized_score(temp["Region Scaled Score"], "region"),
+            "Country_Demand_Label": calculate_normalized_score(temp["Region Scaled Score"], "country"),
+        }

apps/demand_assessment/main.py

@@ -1,12 +1,24 @@
 from fastapi import Depends, HTTPException, status
-from fastapi import APIRouter
+from fastapi import APIRouter, Query
+from typing import Optional
 from authentication import get_current_user
+from apps.demand_assessment.DemandAssessment import DemandAssessment
 
 router = APIRouter()
+da = DemandAssessment()
 
 
 @router.get("/")
 def read_demand_assessment(current_user: str = Depends(get_current_user)):
+    print(da.print_data())
     return {"Status": "Alive!!! Hello from Demand Assessment"}
 
 
+@router.get("/get_demand_score")
+async def get_demand_score(
+        Region: Optional[str] = None,
+        City: str = Query(..., min_length=1),
+        District: str = Query(..., min_length=1),
+        current_user: str = Depends(get_current_user)):
+    result = da.get_demand_score(Region, City, District)
+    return result