-- Global stats
CREATE MATERIALIZED VIEW stats_1m_all
WITH (timescaledb.continuous) AS
SELECT
    time_bucket('1 minute', start_time) AS bucket,
    COUNT(*) AS total_count,
    COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
    COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
    SUM(duration_ms) AS duration_sum,
    MAX(duration_ms) AS duration_max,
    approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions
WHERE status IS NOT NULL
GROUP BY bucket;

SELECT add_continuous_aggregate_policy('stats_1m_all',
    start_offset => INTERVAL '1 hour',
    end_offset   => INTERVAL '1 minute',
    schedule_interval => INTERVAL '1 minute');

-- Per-application stats
CREATE MATERIALIZED VIEW stats_1m_app
WITH (timescaledb.continuous) AS
SELECT
    time_bucket('1 minute', start_time) AS bucket,
    group_name,
    COUNT(*) AS total_count,
    COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
    COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
    SUM(duration_ms) AS duration_sum,
    MAX(duration_ms) AS duration_max,
    approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions
WHERE status IS NOT NULL
GROUP BY bucket, group_name;

SELECT add_continuous_aggregate_policy('stats_1m_app',
    start_offset => INTERVAL '1 hour',
    end_offset   => INTERVAL '1 minute',
    schedule_interval => INTERVAL '1 minute');

-- Per-route stats
CREATE MATERIALIZED VIEW stats_1m_route
WITH (timescaledb.continuous) AS
SELECT
    time_bucket('1 minute', start_time) AS bucket,
    group_name,
    route_id,
    COUNT(*) AS total_count,
    COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
    COUNT(*) FILTER (WHERE status = 'RUNNING') AS running_count,
    SUM(duration_ms) AS duration_sum,
    MAX(duration_ms) AS duration_max,
    approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions
WHERE status IS NOT NULL
GROUP BY bucket, group_name, route_id;

SELECT add_continuous_aggregate_policy('stats_1m_route',
    start_offset => INTERVAL '1 hour',
    end_offset   => INTERVAL '1 minute',
    schedule_interval => INTERVAL '1 minute');

-- Per-processor stats (uses denormalized group_name/route_id on processor_executions)
CREATE MATERIALIZED VIEW stats_1m_processor
WITH (timescaledb.continuous) AS
SELECT
    time_bucket('1 minute', start_time) AS bucket,
    group_name,
    route_id,
    processor_type,
    COUNT(*) AS total_count,
    COUNT(*) FILTER (WHERE status = 'FAILED') AS failed_count,
    SUM(duration_ms) AS duration_sum,
    MAX(duration_ms) AS duration_max,
    approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM processor_executions
GROUP BY bucket, group_name, route_id, processor_type;

SELECT add_continuous_aggregate_policy('stats_1m_processor',
    start_offset => INTERVAL '1 hour',
    end_offset   => INTERVAL '1 minute',
    schedule_interval => INTERVAL '1 minute');