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#!/usr/bin/env python
# -*- coding: utf-8 -*-

import code
import logging

from datetime import datetime

from sqlalchemy import create_engine, event
from sqlalchemy import Column, Float, Integer, MetaData, UnicodeText

francbartoli

server:
    bind:
        host: 0.0.0.0
        port: 5000
    url: http://localhost:5000
    mimetype: application/json; charset=UTF-8
    encoding: utf-8
    language: en-US
    # cors: true
    pretty_print: true

francbartoli

# generated by datamodel-codegen:
#   filename:  cql-schema.json
#   timestamp: 2021-03-13T21:05:20+00:00

from __future__ import annotations

from datetime import date, datetime
from enum import Enum
from typing import Any, Dict, List, Optional, Union

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server:
    bind:
        host: 0.0.0.0
        port: 5000
    url: http://localhost:5000
    mimetype: application/json; charset=UTF-8
    encoding: utf-8
    language: en-US
    # cors: true
    pretty_print: true

francbartoli

from osgeo import gdal

ds = gdal.OpenEx('CSV:/vsicurl/https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-regioni/dpc-covid19-ita-regioni.csv', gdal.OF_VECTOR, open_options=['X_POSSIBLE_NAMES=long', 'Y_POSSIBLE_NAMES=lat'])

lyr = ds.GetLayer(0)

f = lyr.GetNextFeature()

f.ExportToJson()
'{"type": "Feature", "geometry": {"type": "Point", "coordinates": [13.39843823, 42.35122196]}, "properties": {"data": "2020-02-24T18:00:00", "stato": "ITA", "codice_regione": "13", "denominazione_regione": "Abruzzo", "lat": 42.35122196, "long": 13.39843823, "ricoverati_con_sintomi": "0", "terapia_intensiva": "0", "totale_ospedalizzati": "0", "isolamento_domiciliare": "0", "totale_positivi": "0", "variazione_totale_positivi": "0", "nuovi_positivi": "0", "dimessi_guariti": "0", "deceduti": "0", "totale_casi": "0", "tamponi": "5", "note_it": "", "note_en": ""}, "id": 1}'

francbartoli

I had a large dataset in postgis and wanted to avoid the hassle of first exporting it to a several GB geojson file before tiling it with Tippecanoe.

ogr2ogr -f GeoJSON /dev/stdout \                                                                            
PG:"host=localhost dbname=postgres user=postgres password=thepassword" \
-sql "select * from a, roi where a.geom && roi.geom" \
| docker run -i -v ${PWD}:/data tippecanoe:latest tippecanoe \
--output=/data/yourtiles.mbtiles

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FROM python:3.7 as build
# The python:3.7 image is HUGE but already comes with all the essentials
# for compiling (most) python modules with native dependencies
ENV LC_ALL C.UTF-8
ENV LANG C.UTF-8

RUN pip install pipenv

WORKDIR /build
COPY Pipfile Pipfile.lock /build/

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FROM python:2.7.17-stretch AS base
MAINTAINER GeoNode development team

# This section is borrowed from the official Django image but adds GDAL and others
RUN apt-get update && apt-get install -y \
		gcc \
                zip \
		gettext \
		postgresql-client libpq-dev \
		sqlite3 \

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GeoNode 2.4 -> 2.10.1 migration

PostgreSQL

Create a role and a database for Django:

create role user with superuser login with password '***';
create database gn_24 with owner user;
\c gn_24

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# routes
from fastapi import APIRouter, Depends, HTTPException
from starlette.status import HTTP_201_CREATED
from starlette.responses import JSONResponse
from sqlalchemy.orm import Session

from app.core.config import WPS_PROCESS_LINK
from app import crud
from app.api.utils.db import get_db
from app.models.job import (