-- Run with: sqlite3 -readonly data/mimo.sqlite3 < analysis.sql
.headers on
.mode column

SELECT run_key, COUNT(DISTINCT tag) AS tags, COUNT(*) AS points,
       COUNT(value) AS numeric_points, MIN(step) AS first_step, MAX(step) AS last_step
FROM metrics GROUP BY run_key;

SELECT run_key, step, value AS mean_pass_rate
FROM metrics WHERE tag='dynsam/avg@n' ORDER BY run_key, step;

SELECT run_key, step,
       MAX(CASE WHEN tag='critic/rewards/mean' THEN value END) AS reward,
       MAX(CASE WHEN tag='actor/entropy_loss' THEN value END) AS entropy,
       MAX(CASE WHEN tag='timing_s/step' THEN value END) AS step_seconds,
       MAX(CASE WHEN tag='perf/total_num_tokens' THEN value END) AS tokens
FROM metrics
WHERE tag IN ('critic/rewards/mean','actor/entropy_loss','timing_s/step','perf/total_num_tokens')
GROUP BY run_id, step ORDER BY run_key, step;

SELECT benchmark, run_key, step, value FROM benchmark_points ORDER BY benchmark, run_key, step;

SELECT run_key, datetime(source_time, 'unixepoch') AS utc, step, accepted, target, passrate
FROM sampler_reports ORDER BY source_time DESC LIMIT 10;