generally working with Python/Pythia

@RangerMetrics/addons/RangerMetrics/functions/fn_checkResults.sqf

@@ -0,0 +1,13 @@
+
+private _threadsToCheck = RangerMetrics_activeThreads;
+{
+	private _finished = ["RangerMetrics.influx.has_call_finished", [_threadId]] call py3_fnc_callExtension;
+	if (_finished) then {
+		_threadsToCheck = _threadsToCheck - [_threadId];
+		if (missionNamespace getVariable ["RangerMetrics_debug",false]) then {
+			private _return = ["RangerMetrics.influx.get_call_value", [_threadId]] call py3_fnc_callExtension;
+			[format ["Thread result: %1", _extSend], "DEBUG"] call RangerMetrics_fnc_log;
+		};
+	};
+} forEach _threadsToCheck;
+

@RangerMetrics/python/$PYTHIA$

@@ -0,0 +1 @@
+RangerMetrics

@RangerMetrics/python/__init__.py

@@ -0,0 +1 @@
+from . import influx

@RangerMetrics/python/influx.py

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+import influxdb_client
+from influxdb_client.client.write_api import SYNCHRONOUS
+import threading
+from pyproj import Transformer
+from datetime import datetime
+import json
+import os
+from .threading_utils import call_slow_function, has_call_finished, get_call_value
+
+settings = None
+
+
+host = settings["influxdb"]["host"]
+token = settings["influxdb"]["token"]
+org = settings["influxdb"]["org"]
+bucket = settings["influxdb"]["bucket"]
+refreshRateMs = settings["arma3"]["refreshRateMs"]
+
+transformer = Transformer.from_crs("epsg:3857", "epsg:4326")
+
+DBCLIENT = influxdb_client.InfluxDBClient(
+    url=host, token=token, org=org, enable_gzip=True
+)
+WRITE_API = DBCLIENT.write_api(write_options=SYNCHRONOUS)
+
+
+def get_dir():
+    # get current dir
+    return [
+        os.path.dirname(os.path.realpath(__file__)) + "\\" + os.path.basename(__file__)
+    ]
+
+
+def load_settings():
+    # import settings from settings.json
+    global settings
+    with open("settings.json", "r") as f:
+        settings = json.load(f)
+    # get path to arma3 directory
+    global arma3_path
+
+
+def test_data(data):
+    with open("influxdb_data.log", "a") as f:
+        f.write(str(data) + "\n")
+        f.write(f"{datetime.now()}: {data[2]}\n")
+        # convert to dict from list of key, value pairs
+        # format [[key, value], [key, value]] to {key: value, key: value}
+        measurement, tag_set, field_set, position = data
+        tag_dict = dict(tag_set)
+        field_dict = dict(field_set)
+        f.write(
+            f"{datetime.now()}: {measurement}, {json.dumps(tag_dict, indent=2)}, {json.dumps(field_dict, indent=2)}, {position}\n"
+        )
+
+    # thread the write to influxdb
+    return [data, dict(data[1])]
+
+
+def log_to_file(data):
+    # threaded, write backup to file
+    with open("influxdb_data.log", "a") as f:
+        f.write(f"{data}\n")
+    return True
+
+
+def write_data(data):
+    # thread the write to influxdb
+    # t = threading.Thread(target=write_points_async, args=(data,), daemon=True)
+    # t.start()
+    thread_id = call_slow_function(write_points_async, data)
+    return [thread_id]
+
+
+def write_points_async(data):
+    processed = []
+    timestamp = f" {int(datetime.now().timestamp() * 1e9)}"
+
+    process_log = open("influxdb_process.log", "a")
+
+    # process_log.write(f"{datetime.now()}: Processing {len(data)} data points\n")
+    # process_log.write(f"{datetime.now()}: {data[0]}\n")
+
+    for point in data:
+        measurement = point[0]
+        tag_set = point[1]
+        field_set = point[2]
+        if len(point) > 3:
+            position = point[3]
+
+        tag_dict = dict(tag_set)
+        field_dict = dict(field_set)
+
+        point_dict = {
+            "measurement": measurement,
+            "tags": tag_dict,
+            "fields": field_dict,
+        }
+
+        if position is not None:
+
+            # convert position to lat/lon
+            lat, lon = transformer.transform(
+                position[0],
+                position[1],
+            )
+            point_dict["fields"]["lat"] = lat
+            point_dict["fields"]["lon"] = lon
+            point_dict["fields"]["alt"] = position[2]
+
+        processed.append(point_dict)
+
+    # process_log.write(f"{datetime.now()}: Writing {len(processed)} data points\n")
+    # process_log.write(f"{datetime.now()}: {json.dumps(processed, indent=2)}\n")
+
+    try:
+        result = WRITE_API.write(bucket, org, processed)
+        process_log.write(f"{datetime.now()}: Success\n")
+    except Exception as e:
+        # write to file
+        with open("influxdb_error.log", "a") as f:
+            f.write(f"{datetime.now()}: {e}\n")
+
+    # free up memory
+    del processed
+    del transformer
+    del timestamp
+    del process_log
+
+    return ("OK", 200)
+
+
+has_call_finished  # noqa imported functions
+get_call_value  # noqa imported functions

@RangerMetrics/python/requirements.txt

@@ -0,0 +1 @@
+influxdb-client

@RangerMetrics/python/threading_utils.py

@@ -0,0 +1,52 @@
+import threading
+
+
+# https://stackoverflow.com/a/65447493/6543759
+class ThreadWithResult(threading.Thread):
+    def __init__(self, group=None, target=None, name=None, args=(), kwargs=None, *, daemon=None):
+        if not kwargs:
+            kwargs = {}
+
+        def function():
+            self.result = target(*args, **kwargs)
+        super().__init__(group=group, target=function, name=name, daemon=daemon)
+
+
+THREADS = {}
+THREAD_ID = 0
+
+
+def call_slow_function(function, args):
+    global THREADS, THREAD_ID
+    thread = ThreadWithResult(target=function, args=args, daemon=True)
+    THREAD_ID += 1
+    THREADS[THREAD_ID] = thread
+    thread.start()
+
+    return THREAD_ID
+
+
+def has_call_finished(thread_id):
+    global THREADS
+
+    thread = THREADS[thread_id]
+    if thread.is_alive():
+        # Thread is still working
+        return False
+
+    # Thread has finished, we can return its value using get_call_value()
+    return True
+
+
+def get_call_value(thread_id):
+    global THREADS
+
+    thread = THREADS[thread_id]
+    if thread.is_alive():
+        # Thread is still working
+        raise ValueError('Thread is still running!')
+
+    # Thread has finished, we can return its value now
+    thread.join()
+    del THREADS[thread_id]
+    return thread.result

@RangerMetrics/settings.json.example

@@ -0,0 +1,6 @@
+{
+  "host" : "http://INFLUX_URL:8086",
+  "token": "XXXXXXXXXXXXXXXXXXXXXXXXXXXX_AUTH_TOKEN_XXXXXXXXXXXXXXXXXXXXXXXXXXX",
+  "org" : "ORG_NAME",
+  "bucket" : "BUCKET_NAME",
+}