PHPMem v2.0.1

Version
1.6.45
Uptime
17 days 15 hours 3 minutes 34 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
239 764
Rejected
0
llm:24958c4b506cd053960981211598a58be01fb8b1f155975b04e9703d0bfa71cf
TTL 11 hours 14 minutes 39 seconds Size 1,24KB Export
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"
    }
}