RDF nodes as Python dictionaries
I was recently looking for some code to wrap RDF nodes to Python objects / dictionnaries - something like activerdf in ruby - in order to manipulate RDF nodes easilly, and then use Jinja template engine to render SW documents in HTML.
I didn’t find anything[1] so I wrote a tiny module that does the job, using redland. By finding all (SPO) statements with the given node as subject, it creates a Python dictionnary with predicates as keys, and lists of object nodes as values (using a list even if there’s only one node in order to get something generic). And then, recurse - avoiding infinite loops - for each object.
Regarding literals, they are stored in 3 ways in the dictionnary:
- First, using the "literals" key, to store the literal itself (with its datatype, lang and value);
- Then, using the "strings" key, to store only literal values;
- Finally, for each lang, using the "strings_lang" key, to store literal values for a given language.
It will also save the URI of resource nodes.
Eg with a DOAP file coverted to a python dict. Then, I can use something like node['doap_description'][0]['strings_fr'][0] to get the description of the project in french.
Finally, I just have to pass the dictionary to a Jinja template, and get my DOAP profile rendered as HTML. Result can be seen there.
The module, template and conversion script are available here.
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check out rdflib