def get_agfk_app(request):
if request.user.is_authenticated():
uprof, created = Profile.objects.get_or_create(pk=request.user.pk)
lset = set()
sset = set()
[lset.add(lc.id) for lc in uprof.learned.all()]
[sset.add(sc.id) for sc in uprof.starred.all()]
concepts = {
"concepts": [{
"id": uid,
"learned": uid in lset,
"starred": uid in sset
} for uid in lset.union(sset)]
}
else:
concepts = {"concepts": []}
concept_tag = request.path.split("/")[-1].split("#")[0]
concept_data = get_concept_data(concept_tag)
# pdb.set_trace()
return render_to_response("agfk-app.html", {
"full_graph_skeleton": get_full_graph_json_str(),
"user_data": json.dumps(concepts),
"concept_data": concept_data
},
context_instance=RequestContext(request))
def get_agfk_app(request):
concepts = get_user_data(request)
concept_tag = request.path.split("/")[-1].split("#")[0]
concept_data = get_concept_data(concept_tag)
# pdb.set_trace()
return render_to_response("agfk-app.html",
{"full_graph_skeleton": get_full_graph_json_str(), "user_data": json.dumps(concepts), "concept_data": concept_data},
context_instance=RequestContext(request))
def get_graph_creator(request):
concepts = get_user_data(request)
full_graph_json = get_full_graph_json_str()
return render_to_response("graph-creator.html", {
"full_graph_skeleton": full_graph_json,
"user_data": json.dumps(concepts)
},
context_instance=RequestContext(request))
def get_agfk_app(request):
concepts = get_user_data(request)
concept_tag = request.path.split("/")[-1].split("#")[0]
concept_data = get_concept_data(concept_tag)
# pdb.set_trace()
return render_to_response("agfk-app.html", {
"full_graph_skeleton": get_full_graph_json_str(),
"user_data": json.dumps(concepts),
"concept_data": concept_data
},
context_instance=RequestContext(request))
def get_agfk_app(request):
if request.user.is_authenticated():
uprof, created = Profile.objects.get_or_create(pk=request.user.pk)
lset = set()
sset = set()
[lset.add(lc.id) for lc in uprof.learned.all()]
[sset.add(sc.id) for sc in uprof.starred.all()]
concepts = {"concepts": [{"id": uid, "learned": uid in lset, "starred": uid in sset} for uid in lset.union(sset)]}
else:
concepts = {"concepts": []}
concept_tag = request.path.split("/")[-1].split("#")[0]
concept_data = get_concept_data(concept_tag)
# pdb.set_trace()
return render_to_response("agfk-app.html",
{"full_graph_skeleton": get_full_graph_json_str(), "user_data": json.dumps(concepts), "concept_data": concept_data},
context_instance=RequestContext(request))
def get_graph_creator(request):
concepts = get_user_data(request)
full_graph_json = get_full_graph_json_str()
return render_to_response("graph-creator.html", {"full_graph_skeleton": full_graph_json, "user_data": json.dumps(concepts)}, context_instance=RequestContext(request))
