Protobuf prototype

compLib/MetricsLogging.py

@@ -1,97 +0,0 @@
-from influxdb_client import InfluxDBClient, Point, WritePrecision
-import socket
-import uuid
-import os
-import multiprocessing
-import datetime
-import requests
-import time
-
-CONCURRENCY = 1
-
-HOSTNAME = socket.gethostname()
-RUN_TRACE = str(uuid.uuid4())
-
-TOKEN = "aCdxnntw-Zp3agci8Z32lQAR_ep6MhdmWOJG7ObnoikYqe7nKAhFYx1jVGBpipQuId79SC4Jl0J6IBYVqauJyw=="
-ORG = "robo4you"
-BUCKET = "compAIR"
-
-INFLUX_HOST = "https://influxdb.comp-air.at"
-
-EXTENSIVE_LOGGING = os.getenv("EXTENSIVE_LOGGING", "True")
-if EXTENSIVE_LOGGING == "True":
-    EXTENSIVE_LOGGING = True
-else:
-    EXTENSIVE_LOGGING = False
-
-
-influx_client = InfluxDBClient(url=INFLUX_HOST, token=TOKEN)
-write_api = influx_client.write_api()
-
-point_queue = multiprocessing.Queue()
-workers = []
-
-class MetricsLogging():
-    """Used to send metrics / points to a influxdb
-    """
-
-    @staticmethod
-    def is_influx_reachable() -> bool:
-        """Check if we can send metrics to the database
-
-        :return: Is reachable?
-        :rtype: bool
-        """
-        try:
-            r = requests.get(INFLUX_HOST)
-            if r.status_code == 200:
-                return True
-            else:
-                print(f"Could not connect to {INFLUX_HOST} -> ERROR CODE: {r.status_code}!")
-                return False
-        except requests.exceptions.RequestException as identifier:
-            print(f"Could not connect to {INFLUX_HOST}!")
-
-    @staticmethod
-    def put(sensorType, value, port):
-        """Put a datapoint into a time-series-database
-
-        :param sensorType: A key used to identify a datapoint
-        :param value: Value measured by the sensor
-        :param port: Port of the sensor which was read
-        """
-        if EXTENSIVE_LOGGING:
-            point = Point(sensorType) \
-                .tag("host", HOSTNAME) \
-                .tag("runID", RUN_TRACE) \
-                .tag("port", port) \
-                .field("value", value) \
-                .time(datetime.datetime.utcnow(), WritePrecision.MS)
-            point_queue.put_nowait(point)
-
-    @staticmethod
-    def worker():
-        point = object()
-        for job in iter(point_queue.get, point):
-            try:
-                write_api.write(BUCKET, ORG, point)
-                time.sleep(0.1)
-            except Exception as e:
-                pass
-            finally:
-                pass
-
-    @staticmethod
-    def start_workers():
-        global EXTENSIVE_LOGGING
-        if EXTENSIVE_LOGGING:
-            if MetricsLogging.is_influx_reachable():
-                for i in range(CONCURRENCY):
-                    worker = multiprocessing.Process(target=MetricsLogging.worker, daemon=True)
-                    worker.start()
-                    workers.append(worker)
-            else:
-                EXTENSIVE_LOGGING = False
-
-
-MetricsLogging.start_workers()