mirror of
https://github.com/evraz-hack/backend.git
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171 lines
5.2 KiB
Python
171 lines
5.2 KiB
Python
import asyncio
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import os
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import datetime
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import json
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import django
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import time
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from channels.layers import get_channel_layer
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from confluent_kafka.avro import Consumer
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from confluent_kafka.avro.serializer import SerializerError
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from django.utils.timezone import make_aware
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os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.local")
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django.setup()
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from exhauster_analytics.analytics.models import (
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ExgausterSignal,
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Record,
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ExgausterRecordSignal,
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RecordApproximation,
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ExgausterRecordApproximationSignal,
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)
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from config.settings.base import structlog
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log = structlog.get_logger()
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print("loading values from DB, please wait")
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values = {}
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for sign in Record.objects.last().signals.all():
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values[sign.signal.name] = []
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em = len(Record.objects.all())
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if em > 60:
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for record in Record.objects.all()[em - 60 :]:
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for sign in record.signals.all():
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if sign.signal.name in values:
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values[sign.signal.name].append(sign.value)
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conf = {
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"bootstrap.servers": "rc1a-2ar1hqnl386tvq7k.mdb.yandexcloud.net:9091",
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"group.id": "MentalMind",
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"session.timeout.ms": 6000,
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"security.protocol": "SASL_SSL",
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"ssl.ca.location": "CA.pem",
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"sasl.mechanism": "SCRAM-SHA-512",
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"sasl.username": "9433_reader",
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"sasl.password": "eUIpgWu0PWTJaTrjhjQD3.hoyhntiK",
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"auto.offset.reset": "end",
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}
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def my_assign(consumer, partitions):
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for p in partitions:
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p.offset = Record.objects.last().offset + 1
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print("assign", partitions)
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consumer.assign(partitions)
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async def send_to_channel_layer(data):
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channel_layer = get_channel_layer()
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await channel_layer.group_send("notifications", {"data": data, "type": "info"})
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async def send_to_channel_layer_approximation(data, approximation):
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channel_layer = get_channel_layer()
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await channel_layer.group_send(
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f"approximation_{approximation}", {"data": data, "type": "info"}
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)
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c = Consumer(conf)
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c.subscribe(["zsmk-9433-dev-01"], on_assign=my_assign)
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signals = {}
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for ex in ExgausterSignal.objects.all():
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if ex.place_x not in signals:
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signals[ex.place_x] = {}
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if ex.place_y not in signals[ex.place_x]:
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signals[ex.place_x][ex.place_y] = {}
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signals[ex.place_x][ex.place_y][ex.type] = ex
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# delete latest offset
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offset = Record.objects.last().offset
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Record.objects.filter(offset=offset).delete()
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RecordApproximation.objects.filter(offset=offset).delete()
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while True:
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try:
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msg = c.poll(10)
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except SerializerError as e:
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log.info("Message deserialization failed for {}: {}".format(msg, e))
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continue
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if msg is None:
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continue
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if msg.error():
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log.info("AvroConsumer error: {}".format(msg.error()))
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continue
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try:
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data = json.loads(msg.value())
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except json.JSONDecodeError:
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log.info("Message deserialization failed for {}".format(msg))
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continue
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date = make_aware(
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datetime.datetime.strptime(data["moment"], "%Y-%m-%dT%H:%M:%S.%f")
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+ datetime.timedelta(hours=3)
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)
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offset = msg.offset()
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start = time.time()
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print(f"DEBUG: received {offset}, {date}")
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loop = asyncio.get_event_loop()
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coroutine = send_to_channel_layer(data)
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loop.run_until_complete(coroutine)
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record = Record.objects.create(timestamp=date, offset=offset, message=data)
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if offset != 0:
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approximation_amounts = [
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x for x, _ in RecordApproximation.AmountChoices.choices if offset % x == 0
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]
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else:
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approximation_amounts = []
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approximation = {}
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for amount in approximation_amounts:
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approximation[amount] = RecordApproximation.objects.create(
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amount=amount, timestamp=date, offset=offset
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)
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approximation_values = {}
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for approximation_val in approximation_amounts:
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approximation_values[approximation_val] = {}
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for key, val in data.items():
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if "SM" in key:
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if key in values:
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del values[key][0]
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else:
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values[key] = [0] * 60
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values[key].append(val)
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if "." in key:
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x, y = map(int, key[key.find("[") + 1 : key.find("]")].split("."))
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type = "digital"
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else:
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x, y = map(int, key[key.find("[") + 1 : key.find("]")].split(":"))
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type = "analog"
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try:
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signal = signals[x][y][type]
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ExgausterRecordSignal.objects.create(
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record=record, signal=signal, value=val
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)
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except KeyError:
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continue
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for amount, approx in approximation.items():
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vals = values[key][60-amount:]
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r = sum(vals) / len(vals)
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approximation_values[amount][key] = r
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ExgausterRecordApproximationSignal.objects.create(
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record=approx, signal=signal, value=r
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)
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for approx, data in approximation_values.items():
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loop = asyncio.get_event_loop()
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coroutine = send_to_channel_layer_approximation(data, approx)
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loop.run_until_complete(coroutine)
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print(f"DEBUG: done {offset}, {time.time() - start} sec taken")
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c.close()
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