PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 5 hours 33 minutes 11 seconds
Memory
Total
512MB
Used
12,72MB (2.48%)
Free
499,28MB
Keys
Current
14 060
Total (since start)
40 994
Evictions
0
Reclaimed
760
Expired Unfetched
0
Evicted Unfetched
0
Connections
Current
14 / 1 024 max
Total
208 890
Rejected
0
llm:64656f073f8925e57be175f182d8a8d03518e7b12f0db80d26f0fb1599b85106
Edit
{
"action": "tool_call",
"reasoning": "The previous query failed due to a syntax error with the table name. The table is '2010_2026_scores' which starts with a digit, so it needs to be quoted in SQL. Let me query the main scores table to understand the key metrics and categories. I'll look at total points scored by teams (combining home and away) to identify the most important metric (points scored) and category (teams).",
"tool": "query_sql",
"args": {
"sql": "WITH team_stats AS (SELECT AwayTeam AS Team, SUM(AwayScore) AS Points, COUNT(*) AS Games FROM raw.\"2010_2026_scores\" WHERE AwayScore IS NOT NULL GROUP BY AwayTeam UNION ALL SELECT HomeTeam AS Team, SUM(HomeScore) AS Points, COUNT(*) AS Games FROM raw.\"2010_2026_scores\" WHERE HomeScore IS NOT NULL GROUP BY HomeTeam) SELECT Team, SUM(Points) AS TotalPoints, SUM(Games) AS TotalGames, ROUND(SUM(Points) / SUM(Games), 1) AS AvgPointsPerGame FROM team_stats GROUP BY Team ORDER BY TotalPoints DESC",
"purpose": "Calculate total points scored and average points per game for each team to show how the key metric (points) varies across the key category (teams)",
"source": "raw"
}
}