PHPMem v2.0.1
Version
1.6.45
Uptime
17 days 8 hours 58 minutes 44 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
234 733
Rejected
0
llm:f9f63421cb43bef4d1ec7a8bfd29ad3ab9e12f7633537f7b42ddac90424b23f4
Edit
<invoke name="tool_call">
<parameter name="reasoning">Check remaining quality aspects: ID format, outliers by IQR, logical inconsistencies (age vs academic level, usage+sleep), null patterns, metadata.</parameter>
<parameter name="tool">query_sql</parameter>
<parameter name="args">{"sql":"SELECT COUNT(*) FILTER (WHERE NOT regexp_matches(Student_ID,'^[A-Za-z]+[0-9]+$')) AS odd_id_format, MIN(length(Student_ID)) AS id_len_min, MAX(length(Student_ID)) AS id_len_max, MIN(Student_ID) AS id_min, MAX(Student_ID) AS id_max, COUNT(*) FILTER (WHERE Academic_Level='High School' AND Age>=19) AS hs_age19plus, COUNT(*) FILTER (WHERE Academic_Level='Postgraduate' AND Age<=20) AS pg_age_le20, COUNT(*) FILTER (WHERE Academic_Level='Undergraduate' AND Age<=16) AS ug_age_le16, COUNT(*) FILTER (WHERE Daily_Usage_Hours+Sleep_Duration_Hours>20) AS usage_plus_sleep_gt20, COUNT(*) FILTER (WHERE Daily_Usage_Hours>=12) AS usage_ge12, COUNT(*) FILTER (WHERE Perceived_Stress_Score IS NULL) AS ps_null, COUNT(*) FILTER (WHERE Academic_Performance_GPA IS NULL) AS gpa_null, COUNT(*) FILTER (WHERE Perceived_Stress_Score=0) AS ps_zero, COUNT(*) FILTER (WHERE Perceived_Stress_Score=40) AS ps_forty, COUNT(*) FILTER (WHERE Academic_Performance_GPA=4.0) AS gpa_40, COUNT(*) FILTER (WHERE Academic_Performance_GPA=1.9) AS gpa_19, COUNT(*) FILTER (WHERE Sleep_Duration_Hours=3.0) AS sl_floor, COUNT(*) FILTER (WHERE Sleep_Duration_Hours=10.5) AS sl_cap, COUNT(*) FILTER (WHERE Daily_Usage_Hours=14.0) AS du_cap, COUNT(*) FILTER (WHERE Weekend_Extra_Hours=4.5) AS we_cap, COUNT(*) FILTER (WHERE Overall_Impact='Beneficial' AND Mental_Health_Index<45) AS benef_lowmh, COUNT(*) FILTER (WHERE Overall_Impact='Negative' AND Mental_Health_Index>80) AS neg_highmh, COUNT(DISTINCT _source_file) AS files, COUNT(DISTINCT _batch_id) AS batches, COUNT(DISTINCT _source_system) AS systems, corr(Perceived_Stress_Score, Mental_Health_Index) AS corr_ps_mh FROM raw.Social_media_impact_on_life","purpose":"Profile IDs, logical consistency, nulls, boundary pile-ups"}</parameter>
</invoke>