47 lines
1.7 KiB
Python
47 lines
1.7 KiB
Python
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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import os
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import xlrd
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#SuperToken Auth from front end
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from supertokens_python.recipe.session.framework.fastapi import verify_session
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from supertokens_python.recipe.session import SessionContainer
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from fastapi import Depends
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router = APIRouter()
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#get all medicines
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@router.get("/users/medicine/all", tags=["Medicine"])
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async def read_all_medicine(session: SessionContainer = Depends(verify_session())):
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return getMedicineData("")
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#get all medicines by search
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@router.get("/users/medicine/{medSearch}", tags=["Medicine"])
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async def read_medicineby_search(medSearch: str, session: SessionContainer = Depends(verify_session())):
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return getMedicineData(medSearch)
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def getMedicineData(medsearch: str):
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path = os.getcwd()
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#print(path)
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#parentDir = os.path.abspath(os.path.join(path, os.pardir))
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filePath = os.path.join(path, "medicines", "Database-Of-Medicine-Prices-9-July-2024.xls")
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book = xlrd.open_workbook_xls(filePath)
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sh = book.sheet_by_index(0)
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medlist = []
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for rx in range(1,sh.nrows):
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if(str(sh.cell_value(rx, 6)).strip() != "" and
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medsearch.lower() in str(sh.cell_value(rx, 6)).strip().lower()):
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medlist.append({
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"name": str(sh.cell_value(rx, 6)).strip(),
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"unit": str(sh.cell_value(rx, 9)).strip(),
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"dosage form": str(sh.cell_value(rx, 10)).strip(),
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})
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seen = set()
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medlist_noDuplicates = []
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for d in medlist:
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t = tuple(d.items())
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#print(t[0][1])
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if t not in seen:
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seen.add(t)
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medlist_noDuplicates.append(d)
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return sorted(medlist_noDuplicates, key=lambda d: d['name']) #qsort(medlist)
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