chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,167 @@
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-- One-shot data migration to create/populate execution_data & cost, then drop legacy columns
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-- Safe on reruns and across differing prior schemas
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-- Note: Depending on runner timeouts, might have to be run manually
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-- 1) Ensure execution_data exists (prefer rename if only metadata exists)
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DO $$
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BEGIN
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IF EXISTS (
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SELECT 1 FROM information_schema.columns
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WHERE table_schema = 'public' AND table_name = 'workflow_execution_logs' AND column_name = 'metadata'
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) AND NOT EXISTS (
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SELECT 1 FROM information_schema.columns
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WHERE table_schema = 'public' AND table_name = 'workflow_execution_logs' AND column_name = 'execution_data'
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) THEN
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EXECUTE 'ALTER TABLE workflow_execution_logs RENAME COLUMN metadata TO execution_data';
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END IF;
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END $$;--> statement-breakpoint
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ALTER TABLE "workflow_execution_logs"
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ADD COLUMN IF NOT EXISTS "execution_data" jsonb NOT NULL DEFAULT '{}'::jsonb,
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ADD COLUMN IF NOT EXISTS "cost" jsonb;--> statement-breakpoint
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-- Process the backfill in batches to avoid large temporary files on big datasets
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DO $$
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DECLARE
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v_batch_size integer := 500; -- keep batches small to avoid timeouts/spills
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v_rows_updated integer := 0;
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v_rows_selected integer := 0;
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v_last_id text := '';
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v_last_created_at timestamp := '1970-01-01 00:00:00';
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BEGIN
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-- modest per-statement timeout; adjust based on observed per-batch runtime
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PERFORM set_config('statement_timeout', '180s', true);
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LOOP
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CREATE TEMP TABLE IF NOT EXISTS _tmp_candidate_ids(id text, created_at timestamp) ON COMMIT DROP;
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TRUNCATE _tmp_candidate_ids;
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INSERT INTO _tmp_candidate_ids(id, created_at)
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SELECT id, created_at
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FROM workflow_execution_logs
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WHERE (created_at, id) > (v_last_created_at, v_last_id) AND cost IS NULL
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ORDER BY created_at, id
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LIMIT v_batch_size;
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SELECT COUNT(*) INTO v_rows_selected FROM _tmp_candidate_ids;
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EXIT WHEN v_rows_selected = 0;
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SELECT created_at, id
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INTO v_last_created_at, v_last_id
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FROM _tmp_candidate_ids
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ORDER BY created_at DESC, id DESC
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LIMIT 1;
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WITH RECURSIVE
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spans AS (
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SELECT l.id, s.span
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FROM workflow_execution_logs l
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JOIN _tmp_candidate_ids c ON c.id = l.id
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LEFT JOIN LATERAL jsonb_array_elements(
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COALESCE(
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CASE
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WHEN jsonb_typeof(l.execution_data->'traceSpans') = 'array' THEN l.execution_data->'traceSpans'
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ELSE '[]'::jsonb
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END
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)
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) s(span) ON true
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UNION ALL
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SELECT spans.id, c.span
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FROM spans
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JOIN LATERAL jsonb_array_elements(COALESCE(spans.span->'children','[]'::jsonb)) c(span) ON true
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),
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agg AS (
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SELECT id,
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SUM(COALESCE((span->'cost'->>'input')::numeric,0)) AS agg_input,
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SUM(COALESCE((span->'cost'->>'output')::numeric,0)) AS agg_output,
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SUM(COALESCE((span->'cost'->>'total')::numeric,0)) AS agg_total,
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SUM(COALESCE((span->'cost'->'tokens'->>'prompt')::numeric, COALESCE((span->'tokens'->>'prompt')::numeric,0))) AS agg_tokens_prompt,
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SUM(COALESCE((span->'cost'->'tokens'->>'completion')::numeric, COALESCE((span->'tokens'->>'completion')::numeric,0))) AS agg_tokens_completion,
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SUM(COALESCE((span->'cost'->'tokens'->>'total')::numeric, COALESCE((span->'tokens'->>'total')::numeric,0))) AS agg_tokens_total
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FROM spans
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GROUP BY id
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),
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model_rows AS (
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SELECT id,
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(span->'cost'->>'model') AS model,
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COALESCE((span->'cost'->>'input')::numeric,0) AS input,
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COALESCE((span->'cost'->>'output')::numeric,0) AS output,
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COALESCE((span->'cost'->>'total')::numeric,0) AS total,
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COALESCE((span->'cost'->'tokens'->>'prompt')::numeric,0) AS tokens_prompt,
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COALESCE((span->'cost'->'tokens'->>'completion')::numeric,0) AS tokens_completion,
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COALESCE((span->'cost'->'tokens'->>'total')::numeric,0) AS tokens_total
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FROM spans
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WHERE span ? 'cost' AND (span->'cost'->>'model') IS NOT NULL
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),
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model_sums AS (
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SELECT id,
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model,
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SUM(input) AS input,
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SUM(output) AS output,
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SUM(total) AS total,
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SUM(tokens_prompt) AS tokens_prompt,
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SUM(tokens_completion) AS tokens_completion,
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SUM(tokens_total) AS tokens_total
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FROM model_rows
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GROUP BY id, model
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),
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models AS (
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SELECT id,
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jsonb_object_agg(model, jsonb_build_object(
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'input', input,
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'output', output,
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'total', total,
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'tokens', jsonb_build_object(
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'prompt', tokens_prompt,
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'completion', tokens_completion,
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'total', tokens_total
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)
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)) AS models
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FROM model_sums
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GROUP BY id
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),
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tb AS (
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SELECT l.id,
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NULLIF((l.execution_data->'tokenBreakdown'->>'prompt')::numeric, 0) AS prompt,
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NULLIF((l.execution_data->'tokenBreakdown'->>'completion')::numeric, 0) AS completion
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FROM workflow_execution_logs l
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JOIN _tmp_candidate_ids c ON c.id = l.id
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)
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UPDATE workflow_execution_logs AS l
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SET cost = jsonb_strip_nulls(
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jsonb_build_object(
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'total', COALESCE((to_jsonb(l)->>'total_cost')::numeric, NULLIF(agg.agg_total,0)),
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'input', COALESCE((to_jsonb(l)->>'total_input_cost')::numeric, NULLIF(agg.agg_input,0)),
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'output', COALESCE((to_jsonb(l)->>'total_output_cost')::numeric, NULLIF(agg.agg_output,0)),
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'tokens', CASE
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WHEN (to_jsonb(l) ? 'total_tokens') OR tb.prompt IS NOT NULL OR tb.completion IS NOT NULL OR NULLIF(agg.agg_tokens_total,0) IS NOT NULL THEN
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jsonb_strip_nulls(
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jsonb_build_object(
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'total', COALESCE((to_jsonb(l)->>'total_tokens')::numeric, NULLIF(agg.agg_tokens_total,0)),
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'prompt', COALESCE(tb.prompt, NULLIF(agg.agg_tokens_prompt,0)),
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'completion', COALESCE(tb.completion, NULLIF(agg.agg_tokens_completion,0))
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)
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)
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ELSE NULL
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END,
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'models', models.models
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)
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)
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FROM agg
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LEFT JOIN models ON models.id = agg.id
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LEFT JOIN tb ON tb.id = agg.id
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WHERE l.id = agg.id;
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GET DIAGNOSTICS v_rows_updated = ROW_COUNT;
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-- continue advancing by id until no more rows are selected
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END LOOP;
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END $$;--> statement-breakpoint
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-- 3) Drop legacy columns now that backfill is complete
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ALTER TABLE "workflow_execution_logs"
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DROP COLUMN IF EXISTS "message",
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DROP COLUMN IF EXISTS "block_count",
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DROP COLUMN IF EXISTS "success_count",
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DROP COLUMN IF EXISTS "error_count",
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DROP COLUMN IF EXISTS "skipped_count",
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DROP COLUMN IF EXISTS "total_cost",
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DROP COLUMN IF EXISTS "total_input_cost",
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DROP COLUMN IF EXISTS "total_output_cost",
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DROP COLUMN IF EXISTS "total_tokens",
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DROP COLUMN IF EXISTS "metadata";
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