grafana alerts

Author: Wonters

docker-compose.yml

@@ -38,8 +38,7 @@ services:
       - ./grafana/dashboards:/etc/grafana/dashboards
       - ./grafana/dashboards.yaml:/etc/grafana/provisioning/dashboards/tweet_dashboards.yaml
       - ./grafana/datasources:/etc/grafana/provisioning/datasources
-      - ./grafana/alerting:/etc/grafana/alerting
-      - ./grafana/alertings.yaml:/etc/grafana/provisioning/alerting/tweet_alerts.yaml
+      - ./grafana/alerting:/etc/grafana/provisioning/alerting
     environment:
       - GF_SECURITY_ADMIN_PASSWORD=admin
       - GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/etc/grafana/dashboards/tweet_dashboard.json

grafana/alertings.yaml

@@ -1,9 +1,9 @@
-# apiVersion: 1
+apiVersion: 1
 
-# groups:
-#   - name: alert-rules
-#     folder: Tweet Alerts
-#     orgId: 1
-#     interval: 30s
-#     rules:
-#       - file: /etc/grafana/alerting/rules.json
+groups:
+  - name: alert-rules
+    folder: Tweet Alerts
+    orgId: 1
+    interval: 30s
+    rules:
+      - file: /etc/grafana/alerting/rules.json

scripts/cloud-gpu.sh

@@ -2,4 +2,9 @@
 sudo apt-get install gcc make -y
 sudo apt install build-essential linux-headers-$(uname -r)
 wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
-sudo sh ./cuda_11.8.0_520.61.05_linux.run --silent --driver --toolkit
+sudo sh ./cuda_11.8.0_520.61.05_linux.run --silent --driver --toolkit
+conda env create -n ia python=3.11.8
+conda activate ia
+pip install -r requirements.txt
+# Driver 11.8 torch compatibilities
+conda install pytorch==2.2.2 torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

train.py

@@ -1,6 +1,7 @@
 ## Import lightgbm avoiding segfault error, protection against segfault
 #import lightgbm as lgb
 from src.ml import LightGBMModel, load_data, LSTMModel
+import logging
 
 df  = load_data('../data/training.1600000.processed.noemoticon.csv')
 #df = df.sample(frac=1, random_state=42)