commit 75a94289bc470e50cec55fe9bca8807aa067c84c
Author: Adrian Woodley <bxn478@motorolasolutions.com>
Date:   Wed Apr 22 12:06:49 2026 +0800

    Initial commit

diff --git a/Conventional-Sites.xlsx b/Conventional-Sites.xlsx
new file mode 100644
index 0000000..3352a26
Binary files /dev/null and b/Conventional-Sites.xlsx differ
diff --git a/uem-events.py b/uem-events.py
new file mode 100755
index 0000000..02d73f2
--- /dev/null
+++ b/uem-events.py
@@ -0,0 +1,66 @@
+#!/usr/bin/python3
+import csv
+import pandas as pd
+from pathlib import Path
+from datetime import datetime
+from influxdb_client import InfluxDBClient, Point, WritePrecision
+from influxdb_client.client.write_api import SYNCHRONOUS
+
+# Configuration
+token = "-qVexb9yCtsunJlznN9Ypv51xXLJixj-5_hcJNhJejIh0W3OW4yJ-FTxWyKl4g9ENeUIqqrBBrmHaF2oqh0PFA=="
+org = "MotWA"
+bucket = "UEM-Events"
+url = "http://192.168.254.201:8086"
+directory_path = '/home/bxn478@ds.mot.com/UEM'
+
+client = InfluxDBClient(url=url, token=token, org=org)
+write_api = client.write_api(write_options=SYNCHRONOUS)
+
+csv_files = list(Path(directory_path).rglob('*.csv'))
+
+df = pd.read_excel('Conventional-Sites.xlsx')
+channels = dict(zip(df['Site ID'], df['Site Name']))
+
+def upload_events(file_path):
+    with open(file_path, mode='r', encoding='utf-8', errors='replace') as file:
+        reader = csv.DictReader(file)
+        print(file.name)
+        try:
+            for row in reader:
+                # print(row)
+                try:
+                    if row['Entity'].startswith("ZC Conventional Site Link") and row['Entity'].endswith("1"):
+                        # Determine status value: 1 for restored (UP), 0 for DOWN
+                        if row['Message'].startswith("UP"):
+                            status_val = 1
+                        elif row['Message'].startswith("DOWN"):
+                            status_val = 0
+                        else:
+                            status_val = None
+                        
+                        if status_val is not None:
+                            # Convert your CSV timestamp to a datetime object
+                            # Adjust the format string '%Y-%m-%d %H:%M:%S' to match your CSV
+                            #                                         Mar 16, 2026 00:00:32 +0800
+                            dt = datetime.strptime(row['Date/Time'], '%b %d, %Y %H:%M:%S %z')
+
+                            siteID = row['Entity'][-6:-2]
+                            channel = channels[int(siteID)]
+
+                            point = Point("channel_status") \
+                                .tag("channel", channel) \
+                                .field("status", status_val) \
+                                .time(dt, WritePrecision.S)
+
+                            write_api.write(bucket=bucket, org=org, record=point)
+                            # print(f"Logged {channel} as {status_val} at {row['Date/Time']}")
+                except Exception as e:
+                    print(f"Error processing a specific row: {e}")
+        except csv.Error as e:
+            print(f"CSV format error at line {reader.line_num}: {e}")
+    file.close()
+
+for file in csv_files:
+    upload_events(file)
+
+client.close()