def plot_api(request):
from bokeh.plotting import figure
from bokeh.embed import components
try:
project = NN_model.objects.get(user=request.user,
pk=request.GET.get('p'))
if request.GET.get('realtime') == '1':
plot_data = []
with open(op.join(MEDIA_ROOT, project.state_file), 'r') as f:
info = json.load(f)
return HttpResponse(json.dumps(info),
content_type='application/json')
except BaseException as e:
logger.warning(
'excepttion occured when calling plot API. user:{}, method GET:{}'.
format(request.user, request.GET))
return HttpResponse('')
latest_excution = os.path.join(
file_path,
max([f for f in os.listdir(file_path) if re.match(r'\d{6}_\d{6}', f)]),
'logs')
script, div = bokeh_plot(latest_excution)
return HttpResponse(json.dumps({
"script": script,
"div": div
}),
content_type="application/json")
def plot_api(request):
import json
import pandas as pd
from bokeh.plotting import figure
from bokeh.embed import components
file_path = '/home/plash/demo1/logs/'
script, div = bokeh_plot(file_path)
print(script, div)
logs = {}
train_log = pd.read_csv(file_path + 'train_log')
train_log.index = [str(i) for i in train_log.index]
logs['train'] = train_log.to_dict()
test_log = pd.read_csv(file_path + 'test_log')
test_log.index = [str(i) for i in test_log.index]
logs['test'] = test_log.to_dict()
train_log = pd.read_csv(file_path + 'train_logfull')
train_log.index = [str(i) for i in train_log.index]
logs['train_full'] = train_log.to_dict()
test_log = pd.read_csv(file_path + 'test_logfull')
test_log.index = [str(i) for i in test_log.index]
logs['test_full'] = test_log.to_dict()
return HttpResponse(json.dumps({
"script": script,
"div": div
}),
content_type="application/json")
def results(request):
context = {}
if request.method == 'GET':
print(request.GET)
if request.GET.get('type') == 'train':
import json
with open('/home/plash/petpen/state.json', 'r+') as f:
info = json.load(f)
info['status'] = 'loading model'
f.seek(0)
json.dump(info, f)
subprocess.Popen(
'python', '/home/plash/petpen0.1.py', '-m',
'/media/disk1/petpen/models/{}'.format(request.user), '-d',
'/media/disk1/petpen/datasets/{}/{}'.format(
request.user, request.GET.get('dataset')))
# os.system('python /home/plash/petpen/git/backend/petpen0.1.py -n mnist -m /home/plash/demo1 -d 1 -w model')
file_path = '/home/plash/demo1/logs/'
script, div = bokeh_plot(file_path)
context = {'plot': script, 'plotDiv': div}
context["datasets"] = Dataset.objects.filter(user_id=request.user)
return render(request, 'model/results.html', context)
def plot_api(request):
import json
import re
from bokeh.plotting import figure
from bokeh.embed import components
file_path = '/media/disk1/petpen/models/2'
latest_excution = os.path.join(
file_path,
max([f for f in os.listdir(file_path) if re.match(r'\d{6}_\d{6}', f)]),
'logs')
script, div = bokeh_plot(latest_excution)
with open('/home/plash/petpen/state.json', 'r+') as f:
info = json.load(f)
info['status'] = 'system idle'
f.seek(0)
json.dump(info, f)
f.truncate()
return HttpResponse(json.dumps({
"script": script,
"div": div
}),
content_type="application/json")