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version: '3.4'
services:
  web:
    restart: always
    build: .
    image: samples/fastapi-react-app
    expose:
      - "8000"
    ports:
      - "8000:8000"

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FROM node:12.18-alpine AS ReactImage
WORKDIR /app/frontend
COPY ./frontend/package.json ./frontend/yarn.lock /app/frontend/
RUN yarn install --no-optional
COPY ./frontend ./
RUN yarn build

FROM python:3.8-slim-buster

ENV PYTHONUNBUFFERED 1

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import {
  ApolloClient,
  ApolloProvider, gql, HttpLink, InMemoryCache, useQuery
} from "@apollo/client";
import bbox from "@turf/bbox";
import MapGL, { Layer, Source } from "@urbica/react-map-gl";
import "mapbox-gl/dist/mapbox-gl.css";
import React, { useEffect, useState } from "react";

const httpLink = new HttpLink({

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REACT_APP_GRAPHQL_URL=http://localhost:8000/graphql
REACT_APP_MAPBOX_ACCESS_TOKEN=pk.***********************************************************

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from fastapi import FastAPI, Request
from fastapi.middleware.cors import CORSMiddleware

from starlette.graphql import GraphQLApp
import graphene
from fastapi.templating import Jinja2Templates

from graphql.execution.executors.asyncio import AsyncioExecutor
from fastapi.staticfiles import StaticFiles

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import requests as req
from graphene import String, ObjectType, Float, Int, Field, Boolean
from operator import itemgetter

class Point(ObjectType):
    lat = Float()
    lng = Float()


class IbbParkObjectType(ObjectType):

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from typing import Optional
import base64
from passlib.context import CryptContext
from datetime import datetime, timedelta

import jwt
from jwt import PyJWTError

from pydantic import BaseModel

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color_options = {'colorFilename': 'gdal_rusle_colors.txt', 
                 'format' : "GTiff", 'band':'1','addAlpha':True}

#Raster veriyi renklendirmek için gdal DEMProcessing fonksiyonu uygulanacak. 
rusle_eski_colored = gdal.DEMProcessing(destName='/vsimem/rusle_eski_colored.tif', 
                                        srcDS=rusle_eski_reclassified.name,
                                        processing='color-relief',**color_options)
rusle_yeni_colored = gdal.DEMProcessing(destName='/vsimem/rusle_yeni_colored.tif', 
                                        srcDS=rusle_yeni_reclassified.name,
                                        processing='color-relief',**color_options)

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def merge_rasters(first, second, out_file):
    GDAL_PATH = os.environ.get("GDAL_PATH")
    ps = subprocess.call(
        ['python', '{}\gdal_merge.py'.format(GDAL_PATH),
         '-o', out_file,  '-co', 'COMPRESS=LZW', '-n', '0','-ot', 'Int16',
         first, second],
    )

color_options = {'colorFilename': 'rusle_difference.txt', 
                 'format': "GTiff", 'band': '1', 'addAlpha': True}

Dakdeniz

#RUSLE ham verisinden 5 grupta toplanmış risk haritası oluşturmak için 
#aralık değerleri ve sınıf kodlarını içeren formül
rusle_rc_formul = "(logical_and(A>=0,A<=5)*1)+(logical_and(A>5,A<=10)*2)"\
                     "+(logical_and(A>10,A<=20)*3)+(logical_and(A>20,A<=50)*4)+"\
                     "(logical_and(A>50, A<=30000)*5)"
gdal_calculate(calc=rusle_rc_formul, 
               outfile='{}_SDR_RC.tif'.format(Path(rusle_eski_path).stem), 
               NoDataValue=0, creation_options=['COMPRESS=LZW'],
               allBands=False, overwrite=True, debug=False,
               quiet=True, A=rusle_eski_path, type='Byte')