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Networked Data

I've created something that fits the pattern of "Networked Data" which seems to be the way right now.

You can do things like this:

   1 >>> import graph
   2 >>> store = graph.GraphStore()
   3 >>> some_data = { "a": 4547,
   4 ...               "b": 34,
   5 ...               "c": 976,
   6 ...               "other": store.new_ref( "http://taoriver.net/tmp/foo.txt" ) }
   7 >>> g = store.new_graph( "foo" )
   8 >>> g.accept( some_data )
   9 0
  10 >>> print g.serialize()
  11 0:DICT:1,2,3,4,5,6,7,8
  12 1:STR:a
  13 2:INT:4547
  14 3:STR:c
  15 4:INT:976
  16 5:STR:b
  17 6:INT:34
  18 7:STR:other
  19 8:REF:http://taoriver.net/tmp/foo.txt
  20 -1:FLAG:START 0
  21 
  22 >>> some_data["other"].resolve()
  23 >>> some_data["other"]
  24 [<reference into http://www.speakeasy.org/~lion/data/bar.txt>, 'hello', 'world!']
  25 >>> some_data["other"][0].resolve()
  26 >>> some_data
  27 {'a': 4547, 'c': 976, 'b': 34, 'other': [['the', 'river', 'of', 'hope', [...]], 'hello', 'world!']}
  28 >>> 

It's still messy, and it requires a little more work than it needs to, but it's really cool!

What this means is that you can use native python data, which includes "Ref" objects, and then resolve it or publish it over the Internet. It resolves transparently!

There are some limitations in the present code that I want to get rid of:

But it's really fun to think of things that you can do with this, or just- this type of thing.

For more on this particular work, see:

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