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What version of Python are you using? Whatever is installed on docker image geopython/pygeoapi:latest
What operating system are you using? Windows 11 64 bit
Which version or versions of the software are you using?
Docker version 24.0.6, build ed223bc
Docker Compose version v2.22.0-desktop.2
How can the we recreate your problem? Imagine that we have never used the Diving into pygeoapi workshop before and have downloaded it for the first time. Exactly what steps do we need to take to reproduce your problem?
During exercise 4, tippecanoe is used to generate tiles, which succeeds with a couple log messages
C:\Projects\pygeoapi-trial\workshop\exercises> docker run -it --rm -v .\data:/data emotionalcities/tippecanoe tippecanoe --output-to-directory=/data/tiles/ --force --maximum-zoom=16 --drop-densest-as-needed --extend-zooms-if-still-dropping --no-tile-compression /data/cycle-lanes-firenze.geojson
For layer 0, using name "cyclelanesfirenze"
/data/cycle-lanes-firenze.geojson:6: ignoring dimensions beyond two
In JSON object [11.305009255881071,43.752250927369978,58.216000765673471]
In JSON object {"type":"Feature","properties":{"accicid":"acCicId_342","acciccon":"01","acciccon_d":"reale","accic_c":"AcCic-c_1","accicpos":"02","accicpos_d":"su sede stradale","accic_lung":227.77324830329036},"geometry":{"type":"MultiLineString","coordinates":[[[11.305009255881071,43.752250927369978,58.216000765673471],[11.304913042439582,43.751854850642324,58.304001725240354],[11.304897435922136,43.751789349404881,58.354004998991527],[11.304879939854354,43.751717340730373,58.432001301945533],[11.30485693...
1093 features, 89236 bytes of geometry, 62 bytes of separate metadata, 36022 bytes of string pool
99.9% 16/34824/23890
What version of Python are you using? Whatever is installed on docker image geopython/pygeoapi:latest
What operating system are you using? Windows 11 64 bit
Which version or versions of the software are you using?
How can the we recreate your problem? Imagine that we have never used the Diving into pygeoapi workshop before and have downloaded it for the first time. Exactly what steps do we need to take to reproduce your problem?
After restarting pygeoapi, opening http://localhost:5000/collections/Cycle/tiles/WorldCRS84Quad/metadata results in an HTTP 500 Internal server error. Pygeoapi logs the following errors:
Screenshot
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