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))