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import json
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import numpy as np
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from datetime import datetime
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import mongoengine
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from pymongo import MongoClient
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from models import Experiment, Data
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from channels.handler import AsgiHandler
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from channels.auth import channel_session_user
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from channels import Group
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from profilehooks import profile
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# mongoengine.connect('dbplots')
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CLIENT = MongoClient('mongo:27017')
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DB = CLIENT['dbplots']
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# Connected to websocket.connect
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def ws_connect(message, code, plot):
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# Accept the incoming connection
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message.reply_channel.send({'accept': True})
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# Add them to the chat group
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Group('{}_{}'.format(code, plot)).add(message.reply_channel)
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def ws_message(message, code, plot):
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# Accept the incoming connection
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dt = datetime.strptime(str(json.loads(message.content['text'])['date']), '%d/%m/%Y')
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e = DB.experiment.find_one({'date': dt})
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if e:
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if plot == 'spc':
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datas = DB.data.find({'experiment': e['_id']}, ['time', 'data']).sort('time', -1).limit(1)[0]
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e['time'] = [datas['time']]
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e['spc'] = datas['data']['spc']
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e['rti'] = datas['data']['rti']
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e['noise'] = datas['data']['noise']
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else:
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datas = DB.data.find({'experiment': e['_id']}, ['time', 'data']).sort('time', 1)
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dum = [(d['time'], d['data'][plot]) for d in datas]
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e['time'] = [d[0] for d in dum]
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dum = np.array([d[1] for d in dum])
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e[plot] = np.swapaxes(dum, 0, 1).tolist()
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e.pop('date', None)
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e.pop('_id', None)
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message.reply_channel.send({'text': json.dumps(e)})
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else:
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message.reply_channel.send({'text': json.dumps({'interval': 0})})
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# Connected to websocket.disconnect
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def ws_disconnect(message, code, plot):
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Group('{}_{}'.format(code, plot)).discard(message.reply_channel)
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