#!/usr/bin/env bash # Query the telemetry corpus in R2 with DuckDB. # # ./query.sh # fleet summary # ./query.sh sessions # one row per session (deduped) # ./query.sh "SELECT ..." # your own SQL against the corpus # # Setup, once: # brew install duckdb # Cloudflare > R2 > API > Create Account API Token (Object Read only, # scoped to headroom-telemetry), then put the values in ~/env.txt # (or any file named by HEADROOM_ENV_FILE): # # R2_ACCOUNT_ID=... # R2_ACCESS_KEY_ID=... # R2_SECRET_ACCESS_KEY=... # # R2_ACCOUNT_TOKEN is Cloudflare's REST-API token and is NOT used here — the # S3 protocol wants the access-key pair. set -euo pipefail BUCKET="${R2_BUCKET:-headroom-telemetry}" _repo_env="$(cd "$(dirname "${BASH_SOURCE[0]}")/../.." && pwd)/.env" ENV_FILE="${HEADROOM_ENV_FILE:-$HOME/env.txt}" [ -f "$ENV_FILE" ] || ENV_FILE="$_repo_env" [ -f "$ENV_FILE" ] || { echo "no env file (~/env.txt or $_repo_env) — see this script's header" >&2; exit 1; } # shellcheck disable=SC1090 set -a; source "$ENV_FILE"; set +a for v in R2_ACCOUNT_ID R2_ACCESS_KEY_ID R2_SECRET_ACCESS_KEY; do [ -n "${!v:-}" ] || { echo "$v not set in $ENV_FILE" >&2; exit 1; } done command -v duckdb >/dev/null || { echo "duckdb not installed: brew install duckdb" >&2; exit 1; } # Credentials go in via a heredoc on stdin, never on the command line, so they # stay out of `ps` and shell history. SECRET=" INSTALL httpfs; LOAD httpfs; CREATE OR REPLACE SECRET r2corpus ( TYPE r2, KEY_ID '${R2_ACCESS_KEY_ID}', SECRET '${R2_SECRET_ACCESS_KEY}', ACCOUNT_ID '${R2_ACCOUNT_ID}' ); " # The corpus is heartbeats: a session reports every 5 minutes with CUMULATIVE # totals under one id. So the row with the highest seq per (install, session) is # the whole session — never SUM across heartbeats, you would count each session # once per report. DEDUPE=" CREATE OR REPLACE TEMP VIEW sessions AS SELECT * FROM read_ndjson('r2://${BUCKET}/sessions/**/*.json', union_by_name = true) QUALIFY row_number() OVER ( PARTITION BY resource['headroom.install_id'], session.id ORDER BY session.seq DESC ) = 1; " case "${1:-summary}" in summary) # Fleet rates come from summing raw counts. Averaging the per-session # rates.*_pct fields would weight a 10-token session equal to a 1M one. QUERY=" SELECT count(*) AS sessions, count(DISTINCT resource['headroom.install_id']) AS installs, sum(session.turns) AS turns, sum(tokens.saved) AS tokens_saved, sum(tokens.tool_saved) AS tool_tokens_saved, round(sum(tokens.attempted) * 100.0 / nullif(sum(tokens.original), 0), 2) AS eligible_pct, round(sum(tokens.saved) * 100.0 / nullif(sum(tokens.attempted), 0), 2) AS yield_pct, round(sum(tokens.saved) * 100.0 / nullif(sum(tokens.original), 0), 2) AS saved_pct, -- saved_pct/yield_pct above are context-compression only, because -- tool_saved never lands in original/attempted. This is the -- dashboard headline (server.py `savings_percent`): tool-schema -- savings on BOTH sides, since deferred schemas were attempted work -- that succeeded whole. On a tool-heavy fleet the two differ several- -- fold, so say which one you are quoting. round(sum(tokens.saved + tokens.tool_saved) * 100.0 / nullif(sum(tokens.original + tokens.tool_saved), 0), 2) AS all_layers_pct, sum(failures) AS failures FROM sessions;" ;; sessions) QUERY=" SELECT resource['headroom.install_id'][1:8] AS install, session.id, session.seq, session.turns, session.duration_s, tokens.original, tokens.attempted, tokens.saved, rates.saved_pct, rates.eligible_pct, rates.yield_pct, providers, models, skips FROM sessions ORDER BY session.duration_s DESC LIMIT 50;" ;; *) QUERY="$1" ;; esac printf '%s\n%s\n%s\n' "$SECRET" "$DEDUPE" "$QUERY" | duckdb -box