Server Log Health Check

Perform a 4-stage pipeline health check on the CaptureLora.py server logs.

Step 1: Locate and Assess Active Log

The server logs are at logs/IQRight_Daemon.debug with rotated backups at logs/IQRight_Daemon.debug.MMDDYY.

• Check file sizes with du -h logs/IQRight_Daemon.debug*
• Read the last 50 lines of the active log to see current state
• Extract first/last timestamps to show the date range covered

Step 2: Run Pipeline Health Check

Count packets at each of the 4 pipeline stages. Use Grep for each:

1. LoRa Reception: pattern Received data from scanner in logs/IQRight_Daemon.debug
2. Data Lookups: pattern Using local results|Using API results in logs/IQRight_Daemon.debug
3. LoRa Responses: pattern Sent DATA to scanner|Sent CMD in logs/IQRight_Daemon.debug
4. MQTT Successes: pattern MQTT-TX.*SUCCESS in logs/IQRight_Daemon.debug
5. MQTT Failures: pattern MQTT-TX.*FAILED in logs/IQRight_Daemon.debug

Present these 5 numbers in a clear table.

Step 3: Check Adaptive Logging State

Look for state transitions to understand operational timeline:

• SWITCHING TO ACTIVE MODE = operation started (HELLO received)
• SWITCHING TO IDLE MODE = operation ended (15 min no packets)
• Server started in IDLE mode = server restart

Step 4: Recent Errors

Find the last 15 ERROR lines to identify current issues. Categorize by type:

• LoRa errors: "Error in sendDataScanner", "create_packet"
• API errors: "Connection reset", "timed out", "Client error"
• MQTT errors: "MQTT-TX.*FAILED"
• Data errors: "Couldn't find Code", "Invalid DATA packet"

Step 5: Summary Report

Report:

• Time range: First and last log entry timestamps
• Operational state: IDLE or ACTIVE, last state change
• Pipeline status: All 4 stages working? Where are gaps?
• Error count: Total errors, top 3 types
• Recommendation: Is the server healthy? What needs attention?

Reference: See docs/LOG_ANALYSIS_SKILLS.md for detailed patterns and baselines.