def picture_set__list():
result = conf.backend.proxy.picture_set.list()
picture_sets = result.get("data")
picture_sets_teng = []
for picture_set in picture_sets:
picture_set_teng = {
"id": picture_set["id"],
"description": picture_set["description"],
"learning_sets": [],
}
for learning_set in picture_set["pictures_counts"].iterkeys():
learning_set_teng = {
"name": learning_set,
"learning_subsets": [],
}
for learning_subset,count in picture_set["pictures_counts"][learning_set].iteritems():
learning_subset_teng = {
"name": learning_subset,
"count": count,
}
learning_set_teng["learning_subsets"].append(learning_subset_teng)
#endfor
picture_set_teng["learning_sets"].append(learning_set_teng)
#endfor
picture_sets_teng.append(picture_set_teng)
#endfor
return render_teng("picture-set_list.html", picture_sets=picture_sets_teng)
def learning_queue__edit_GET(id):
learning_queue = {}
if id:
result = conf.backend.proxy.learning_queue.get(id)
if result.get("status") != 200:
return redirect('/learning-queue?status=1&message=learning_queue_not_found')
#endif
learning_queue = result.get("data")
#endif
return render_teng("learning-queue_edit.html", learning_queue=learning_queue)
def neural_network__edit_GET(id):
neural_network = {}
if id:
result = conf.backend.proxy.neural_network.get(id)
if result.get("status") != 200:
return redirect('/neural-network?status=1&message=neural_network_not_found')
#endif
neural_network = result.get("data")
#endif
return render_teng("neural-network_edit.html", neural_network=neural_network)
def picture_set__edit_GET(id):
picture_set = {}
if id:
result = conf.backend.proxy.picture_set.get(id)
if result.get("status") != 200:
return redirect('/picture-set?status=1&message=picture_set_not_found')
#endif
picture_set = result.get("data")
#endif
return render_teng("picture-set_edit.html", picture_set=picture_set)
def neural_network__learn_stat_POST(id):
neural_network = {}
if id:
result = conf.backend.proxy.neural_network.getLogs(id)
if result.get("status") != 200:
return redirect('/neural-network?status=1&message=neural_network_not_found')
#endif
logs = result.get("data")
#endif
log_name = request.form.get("selected")
if log_name:
return redirect('/neural-network/learn-stat/%d/%s'%id%log_name)
#endif
return render_teng("neural-network_learn-stat.html?status=1&message=neural_network_log_error", log_list=logs)
def neural_network__learn_stat_GET(id, log_name):
neural_network = {}
if id:
result = conf.backend.proxy.neural_network.getLogs(id)
if result.get("status") != 200:
return redirect('/neural-network?status=1&message=neural_network_not_found')
#endif
logs = result.get("data")
#endif
if log_name:
result = conf.backend.proxy.neural_network.learningStatus(id, log_name)
if result.get("status") != 200:
return redirect('/neural-network?status=1&message=neural_network_log_error')
#endif
data = result.get("data")
dbg.log("data >>>" + str(data), INFO=3)
#endif
return render_teng("neural-network_learn-stat.html", log_list=logs, learn_data=data)
def picture_set__edit_pictures_GET(id, learning_set, learning_subset):
picture_set = {}
if id:
result = conf.backend.proxy.picture_set.get(id)
if result.get("status") != 200:
return redirect('/picture-set?status=1&message=picture_set_not_found')
#endif
picture_set = result.get("data")
params = {}
if learning_set: params["learning_set"] = learning_set
if learning_subset: params["learning_subset"] = learning_subset
result = conf.backend.proxy.picture.list(id, params)
if result.get("status") != 200:
return redirect('/picture-set?status=1&message=picture_set_not_found')
#endif
pictures = result.get("data")
#endif
return render_teng("picture-set_edit-pictures.html",
picture_set = picture_set,
pictures = pictures,
learning_set = learning_set,
learning_subset = learning_subset,
)
def learning_queue__list():
result = conf.backend.proxy.learning_queue.list()
learning_queue = result.get("data")
return render_teng("learning-queue_list.html", learning_queue=learning_queue)
def neural_network__list():
result = conf.backend.proxy.neural_network.list()
neural_networks = result.get("data")
return render_teng("neural-network_list.html", neural_networks=neural_networks)
