Spaces:
Sleeping
Sleeping
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β’
5a97e5d
1
Parent(s):
634adb6
initial commit again
Browse files
Dockerfile
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@@ -10,6 +10,8 @@ RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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USER user
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EXPOSE 7860
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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README.md
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@@ -1,10 +1,2 @@
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emoji: π
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colorFrom: green
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colorTo: green
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sdk: docker
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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## Search API
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- Demand Assessment
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apps/demand_assessment/DemandAssessment.py
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import pandas as pd
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class DemandAssessment:
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def __init__(self):
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self.raw_score = pd.read_csv("data/demand_raw.csv")
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def print_data(self):
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return self.raw_score
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def get_demand_score(self, region, city, district):
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def calculate_normalized_score(score: float, flag: str ) -> str:
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map = dict(city=[0, 2.70238], region=[0, 1.234568], country=[0, 0.289575])
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threshold = map[flag]
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if score >= threshold[1]:
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return "High"
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elif threshold[0] < score < threshold[1]:
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return "Moderate"
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else:
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return "Low"
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if region:
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temp = self.raw_score[
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(self.raw_score["Region"] == region) &
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(self.raw_score["City"] == city) &
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(self.raw_score["District"] == district)
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]
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else:
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temp = self.raw_score[
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(self.raw_score["City"] == city) &
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(self.raw_score["District"] == district)
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]
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temp = temp.iloc[0]
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return {
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"City_Normalized_Score": temp["City Scaled Score"],
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"Region_Normalized_Score": temp["Region Scaled Score"],
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"Country_Normalized_Score": temp["Region Scaled Score"],
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"City_Demand_Label": calculate_normalized_score(temp["City Scaled Score"], "city"),
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"Region_Demand_Label": calculate_normalized_score(temp["Region Scaled Score"], "region"),
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"Country_Demand_Label": calculate_normalized_score(temp["Region Scaled Score"], "country"),
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}
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apps/demand_assessment/__pycache__/DemandAssessment.cpython-38.pyc
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Binary file (1.72 kB). View file
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apps/demand_assessment/__pycache__/main.cpython-38.pyc
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Binary files a/apps/demand_assessment/__pycache__/main.cpython-38.pyc and b/apps/demand_assessment/__pycache__/main.cpython-38.pyc differ
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apps/demand_assessment/main.py
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from fastapi import Depends, HTTPException, status
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from fastapi import APIRouter
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from authentication import get_current_user
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router = APIRouter()
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@router.get("/")
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def read_demand_assessment(current_user: str = Depends(get_current_user)):
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return {"Status": "Alive!!! Hello from Demand Assessment"}
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from fastapi import Depends, HTTPException, status
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from fastapi import APIRouter, Query
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from typing import Optional
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from authentication import get_current_user
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from apps.demand_assessment.DemandAssessment import DemandAssessment
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router = APIRouter()
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da = DemandAssessment()
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@router.get("/")
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def read_demand_assessment(current_user: str = Depends(get_current_user)):
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print(da.print_data())
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return {"Status": "Alive!!! Hello from Demand Assessment"}
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@router.get("/get_demand_score")
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async def get_demand_score(
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Region: Optional[str] = None,
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City: str = Query(..., min_length=1),
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District: str = Query(..., min_length=1),
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current_user: str = Depends(get_current_user)):
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result = da.get_demand_score(Region, City, District)
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return result
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data/demand_raw.csv
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The diff for this file is too large to render.
See raw diff
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