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Building a cartographic web application with pg_tileserv and pg_featureserv

• Workshop materials.
• Reused the postgis Docker Compose template from previous workshop
• Reused also the osgeo/gdal container to use ogr2ogr on the downloaded shapefiles.
• Added pg_featureserv and pg_tileserv Docker images passing the .toml configurations as part of the command setting.
• Added an nginx service to the compose file for the HTML files.
• Played with different HTML pages that load tiles from pg_tileserv and displays them using OpenLayers.
• Created a view that returns random points.

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data
.env

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workshop
.env

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Ping sites

This is a CSV with country official websites from all the world, and a simple script that randomly access to five of them every five seconds. The objective of this is to hit as many different country IP's as possible.

The CSV is obtained from this SPARQL query to Wikidata:

SELECT 
  ?idLabel 
 (SAMPLE(?website) as ?web) 

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This simple scripts scraps the FOSS4G Community Review pages to convert the abstracts into a JSON file that will contain for each abstract:

• Page number
• Title
• Abstract in HTML
• Your score if it exists

Requirements: Python 3, [BeautifulSoup][bs], and [Requests][req]

It expects a FOSS4G_ID environment variable that is the variable part of the URL that you get when you sign in for the community review: https://talks.osgeo.org/foss4g-2022/p/voting/talks/{FOSS4G_ID}?.

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-- change 18 to whatever the max zoom level you want in your MBTiles

DELETE FROM images WHERE 
  tile_id IN (SELECT tile_id FROM map WHERE zoom_level > 18) AND
  tile_id NOT IN (SELECT tile_id FROM map WHERE zoom_level <= 18);

DELETE FROM map WHERE zoom_level > 18;

UPDATE metadata SET value = '18' WHERE name = 'maxzoom';

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Simple wrappers around docker and OGR commands to expose ogr2ogr and ogrinfo using the latest builds. You need to be careful to always put absolute paths to your local data so the docker image can access it.

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"""
Small script to fix geometries of the first file argument
using the native QGIS processing algorithm. You may need
to adjust the path to you installation.
"""

import sys
sys.path.append('/usr/share/qgis/python/plugins')

from processing.core.Processing import Processing

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# Minimal Docker Compose cluster for ElasticSearch and Kibana 7.4
# Put this file any folder creating "logs" and "esdata" folders
# to persist the cluster indices and kibana state

version: "3"
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:7.4.0
    container_name: elasticsearch
    ports:

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

# In[ ]:


get_ipython().system('pip3 install -U InstagramApi')


# In[37]: