PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 2 hours 23 minutes 5 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
15 / 1 024 max
Total
194 901
Rejected
0
llm:81f210b48a75c98c12dcb5a44f7d3aac9d44c7035cfc3ea77504f4cde91ed4a6
Edit
<invoke name="">
</invoke>
```json
{"action": "tool_call", "reasoning": "My earlier answer was not valid JSON and its figures are not in the evidence I can see, so I will recompute the missing-value rates per month and overall in one query, counting NULL, empty and '[]' values as missing.", "tool": "query_sql", "args": {"sql": "WITH a AS (SELECT 'Jan' AS m, \"Company Name\" AS c, CAST(\"Founded\" AS VARCHAR) AS f, \"Location\" AS l, \"Sector\" AS s, \"What it does\" AS w, \"Founders\" AS fo, \"Investor\" AS i, \"Amount\" AS am, \"Stage\" AS st FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data May 2022\") SELECT COALESCE(m, 'ALL') AS month, COUNT(*) AS n_rows, SUM(CASE WHEN c IS NULL OR TRIM(c) IN ('','[]') THEN 1 ELSE 0 END) AS company_missing, SUM(CASE WHEN f IS NULL OR TRIM(f) IN ('','[]') THEN 1 ELSE 0 END) AS founded_missing, SUM(CASE WHEN l IS NULL OR TRIM(l) IN ('','[]') THEN 1 ELSE 0 END) AS location_missing, SUM(CASE WHEN s IS NULL OR TRIM(s) IN ('','[]') THEN 1 ELSE 0 END) AS sector_missing, SUM(CASE WHEN w IS NULL OR TRIM(w) IN ('','[]') THEN 1 ELSE 0 END) AS what_it_does_missing, SUM(CASE WHEN fo IS NULL OR TRIM(fo) IN ('','[]') THEN 1 ELSE 0 END) AS founders_missing, SUM(CASE WHEN i IS NULL OR TRIM(i) IN ('','[]') THEN 1 ELSE 0 END) AS investor_missing, SUM(CASE WHEN am IS NULL OR TRIM(am) IN ('','[]') THEN 1 ELSE 0 END) AS amount_missing, SUM(CASE WHEN st IS NULL OR TRIM(st) IN ('','[]') THEN 1 ELSE 0 END) AS stage_missing FROM a GROUP BY ROLLUP(m) ORDER BY n_rows", "purpose": "Count missing (NULL, blank or '[]') values per business column, per month and overall"}}
```
Wait — I must output only JSON.
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