https://github.com/danvk/sfhistory

Making a map of historical SF photos
https://github.com/danvk/sfhistory

Last synced: about 1 month ago
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Making a map of historical SF photos

• Host: GitHub
• URL: https://github.com/danvk/sfhistory
• Owner: danvk
• Created: 2009-06-26T17:26:40.000Z (over 15 years ago)
• Default Branch: master
• Last Pushed: 2022-10-01T20:23:32.000Z (about 2 years ago)
• Last Synced: 2024-10-12T17:39:52.509Z (about 1 month ago)
• Language: JavaScript
• Homepage:
• Size: 45.6 MB
• Stars: 14
• Watchers: 6
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README

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README

        
To get going:

git clone git://github.com/danvk/sfhistory.git

cd sfhistory

dev_appserver.py viewer

Then hit up http://localhost:8080/

If you want to do your own geocoding, you'll want to do this.

gunzip -c records.pickle.gz > records.pickle

tar -xzf geocache.tgz

echo "records.pickle\ngeocache\n*.pyc\nimages" >> .git/info/exclude

These files could be checked in directly, but that seemed wasteful.

Python can read the pickle.gz file directly, but this winds up being an order

of magnitude slower than reading the uncompressed version.

To start up a new local AppEngine instance:

- (open up the GoogleAppEngineLauncher and start up the app)

- Run "./upload_to_appengine.py" and Ctrl-C when you're ready

- Hit up http://localhost:8080/

Here's the sequence to bring up an instance of the viewer app:

# Geocode all images that can be geocoded:

$ ./generate-geocodes.py --geocode --maps_key (your key) > /tmp/geocodes.txt

# Convert these geocodes into JSON:

$ ./generate-js.py > viewer/lat-lons.js

# Upload JSON to AppEngine

$ cat /tmp/password | appcfg.py update --passin --email [email protected] viewer

# Upload (new) thumbnail images to AppEngine

$ ./upload-thumbnails.py