polyc-query 2026.10.1

//! Proves `GET /api/usage`'s fleet-wide fixed statement
//! (`crates/control-plane/src/forensics.rs`'s `api_fleet_usage`, 8C-2's Q18
//! move) against real `DataFusion` `MemTable`s built from the exact schemas
//! the registry declares, not a live projected stack.
//!
//! Same posture as `financial_dashboard_sql.rs`: a syntax-and-semantics proof
//! for the SQL text itself, not the Query plane's authority or transport.

#![allow(clippy::unwrap_used)]

use std::sync::Arc;

use arrow::array::{RecordBatch, StringArray, UInt64Array};
use datafusion::datasource::MemTable;
use datafusion::prelude::SessionContext;
use polyc_projection::family::{
    CONVERSATION_EXECUTION_ENTRY, CONVERSATION_SECURITY_ENTRY, EXECUTION_MODEL_CALL,
    EXECUTION_USAGE, SECURITY_ATTRIBUTION,
};

/// The exact statement `crate::forensics`'s `api_fleet_usage` runs in
/// production, read from the shared statement registry rather than
/// duplicated as a second literal.
const FLEET_USAGE_SQL: &str = polyc_query_model::statements::FLEET_USAGE_SQL;

fn schema(table: polyc_projection::family::TableId) -> arrow::datatypes::SchemaRef {
    use polyc_projection::family::LogicalType;

    let family = if table.family_str() == CONVERSATION_EXECUTION_ENTRY.family_str() {
        CONVERSATION_EXECUTION_ENTRY
    } else {
        CONVERSATION_SECURITY_ENTRY
    };
    let declared = family.table(table).expect("table declared");
    let fields: Vec<arrow::datatypes::Field> = declared
        .fields()
        .iter()
        .map(|field| {
            let data_type = match field.logical_type() {
                LogicalType::Utf8 => arrow::datatypes::DataType::Utf8,
                LogicalType::FixedBytes { len } => {
                    arrow::datatypes::DataType::FixedSizeBinary(i32::try_from(len).unwrap())
                }
                LogicalType::UInt64 => arrow::datatypes::DataType::UInt64,
                LogicalType::Boolean => arrow::datatypes::DataType::Boolean,
            };
            arrow::datatypes::Field::new(field.name(), data_type, field.nullable())
        })
        .collect();
    Arc::new(arrow::datatypes::Schema::new(fields))
}

fn fixed_incarnation(len: usize) -> arrow::array::FixedSizeBinaryArray {
    let mut builder = arrow::array::FixedSizeBinaryBuilder::with_capacity(len, 32);
    for _ in 0..len {
        builder.append_value([0_u8; 32]).unwrap();
    }
    builder.finish()
}

/// Four committed turns: `turn-1`, `turn-2`, and `turn-4` in `conv-a`,
/// `turn-3` in `conv-b`. `turn-1` carries a RETRIED `model_call` (two rows,
/// higher `position` wins) and a CORRECTED `attribution` (two initiator
/// rows, higher `position` wins) — both prove the `ROW_NUMBER`/`rn = 1`
/// reduction never fans this join out before the final aggregation.
/// `turn-2` and `turn-4` share ONE caller (`persona-b`) in the SAME
/// conversation (`conv-a`) — proving the statement's own `GROUP BY
/// partition, caller_persona_id` actually sums across turns rather than
/// shipping one row per turn (the row-cap regression this aggregation
/// exists to close). `turn-3` carries no `attribution` row at all — the
/// unattributed case Control's own `UNATTRIBUTED_PERSONA_ID` bucket handles.
#[allow(
    clippy::too_many_lines,
    reason = "one fixture batch per table; splitting it hides which columns each table carries"
)]
fn context() -> SessionContext {
    let ctx = SessionContext::new();

    let usage_schema = schema(EXECUTION_USAGE);
    let usage = RecordBatch::try_new(
        Arc::clone(&usage_schema),
        vec![
            Arc::new(StringArray::from(vec![
                "conv-a", "conv-a", "conv-b", "conv-a",
            ])),
            Arc::new(fixed_incarnation(4)),
            Arc::new(UInt64Array::from(vec![0_u64, 1, 0, 2])),
            Arc::new(StringArray::from(vec![
                "turn-1", "turn-2", "turn-3", "turn-4",
            ])),
            Arc::new(UInt64Array::from(vec![100_u64, 50, 10, 30])),
            Arc::new(UInt64Array::from(vec![20_u64, 10, 5, 5])),
        ],
    )
    .unwrap();
    ctx.register_table(
        "usage",
        Arc::new(MemTable::try_new(usage_schema, vec![vec![usage]]).unwrap()),
    )
    .unwrap();

    // `model_call`: turn-1 has TWO rows (a retried dispatch) — position 1's
    // clock (1_000) must win over position 0's (500). turn-3 has no clock at
    // all (`COALESCE`s to 0). turn-2 (2_000) and turn-4 (3_000) give the
    // `since_ms` test below a threshold that keeps one and drops the other.
    let model_call_schema = schema(EXECUTION_MODEL_CALL);
    let model_call = RecordBatch::try_new(
        Arc::clone(&model_call_schema),
        vec![
            Arc::new(StringArray::from(vec![
                "conv-a", "conv-a", "conv-a", "conv-a",
            ])),
            Arc::new(fixed_incarnation(4)),
            Arc::new(UInt64Array::from(vec![0_u64, 1, 2, 3])),
            Arc::new(StringArray::from(vec![
                "turn-1", "turn-1", "turn-2", "turn-4",
            ])),
            Arc::new(StringArray::from(vec!["p", "p", "p", "p"])),
            Arc::new(StringArray::from(vec!["m", "m", "m", "m"])),
            Arc::new(UInt64Array::from(vec![500_u64, 1_000, 2_000, 3_000])),
        ],
    )
    .unwrap();
    ctx.register_table(
        "model_call",
        Arc::new(MemTable::try_new(model_call_schema, vec![vec![model_call]]).unwrap()),
    )
    .unwrap();

    // `attribution`: turn-1 has TWO initiator rows (a correction) —
    // position 1's persona ("persona-a-updated") must win over position 0's
    // ("persona-a"). turn-2 and turn-4 both name persona-b. turn-3 has none.
    let attribution_schema = schema(SECURITY_ATTRIBUTION);
    let attribution = RecordBatch::try_new(
        Arc::clone(&attribution_schema),
        vec![
            Arc::new(StringArray::from(vec![
                "conv-a", "conv-a", "conv-a", "conv-a",
            ])),
            Arc::new(fixed_incarnation(4)),
            Arc::new(UInt64Array::from(vec![0_u64, 1, 0, 0])),
            Arc::new(StringArray::from(vec![
                "turn-1", "turn-1", "turn-2", "turn-4",
            ])),
            Arc::new(StringArray::from(vec![
                "persona-a",
                "persona-a-updated",
                "persona-b",
                "persona-b",
            ])),
            Arc::new(StringArray::from(vec![
                "initiator",
                "initiator",
                "initiator",
                "initiator",
            ])),
        ],
    )
    .unwrap();
    ctx.register_table(
        "attribution",
        Arc::new(MemTable::try_new(attribution_schema, vec![vec![attribution]]).unwrap()),
    )
    .unwrap();

    ctx
}

/// Substitutes the statement's own `$1` (the `since_ms` floor) with a
/// literal, the same textual-substitution pattern `routine_fires_sql.rs`
/// already uses for its own `$1`/`$2` — this crate's tests never exercise
/// `DataFrame::with_param_values` directly, only the statement text a bound
/// value would produce.
fn with_since_ms(threshold: u64) -> String {
    FLEET_USAGE_SQL.replace("$1", &threshold.to_string())
}

#[tokio::test]
async fn fleet_usage_sql_aggregates_by_conversation_and_caller_never_one_row_per_turn() {
    let ctx = context();
    let df = ctx.sql(&with_since_ms(0)).await.unwrap();
    let batches = df.collect().await.unwrap();
    let rows: usize = batches.iter().map(RecordBatch::num_rows).sum();
    // Four committed turns, but only THREE distinct (partition, caller)
    // pairs: turn-2 and turn-4 share (conv-a, persona-b). A one-row-per-turn
    // shape (the regression this aggregation exists to close) would report
    // 4 here instead.
    assert_eq!(
        rows, 3,
        "one row per (conversation, caller) pair, not one row per turn — \
         turn-2 and turn-4 (both conv-a/persona-b) must collapse into one row"
    );

    // Column NAME and ORDER, matching `ProjectedRowsShape::FleetUsage`'s
    // own expected-column list in `crates/control-plane/src/forensics.rs`
    // exactly — the two are hand-kept in sync (this crate cannot depend on
    // that Container crate), and a silent reorder there would still pass
    // every by-name assertion below while failing closed in production via
    // `result.columns != expected`.
    assert_eq!(
        batches[0]
            .schema()
            .fields()
            .iter()
            .map(|field| field.name().as_str())
            .collect::<Vec<_>>(),
        vec![
            "partition",
            "caller_persona_id",
            "input_tokens",
            "output_tokens",
            "turn_count",
            "last_active_ms",
        ],
        "must match ProjectedRowsShape::FleetUsage's own expected-column list, in order"
    );

    let mut by_key: std::collections::HashMap<(String, String), (u64, u64, u64, u64)> =
        std::collections::HashMap::new();
    for batch in &batches {
        let partition = batch
            .column_by_name("partition")
            .unwrap()
            .as_any()
            .downcast_ref::<StringArray>()
            .unwrap();
        let caller = batch
            .column_by_name("caller_persona_id")
            .unwrap()
            .as_any()
            .downcast_ref::<StringArray>()
            .unwrap();
        let input_tokens = batch
            .column_by_name("input_tokens")
            .unwrap()
            .as_any()
            .downcast_ref::<UInt64Array>()
            .unwrap();
        let turn_count = batch
            .column_by_name("turn_count")
            .unwrap()
            .as_any()
            .downcast_ref::<UInt64Array>()
            .unwrap();
        let last_active_ms = batch
            .column_by_name("last_active_ms")
            .unwrap()
            .as_any()
            .downcast_ref::<UInt64Array>()
            .unwrap();
        for row in 0..batch.num_rows() {
            by_key.insert(
                (
                    partition.value(row).to_owned(),
                    caller.value(row).to_owned(),
                ),
                (
                    input_tokens.value(row),
                    turn_count.value(row),
                    last_active_ms.value(row),
                    0,
                ),
            );
        }
    }

    let (input_tokens, turn_count, last_active_ms, _) =
        by_key[&("conv-a".to_owned(), "persona-a-updated".to_owned())];
    assert_eq!(input_tokens, 100, "turn-1's own usage, never doubled");
    assert_eq!(turn_count, 1);
    assert_eq!(
        last_active_ms, 1_000,
        "the LATER (higher-position) model_call clock wins"
    );

    let (input_tokens, turn_count, last_active_ms, _) =
        by_key[&("conv-a".to_owned(), "persona-b".to_owned())];
    assert_eq!(
        input_tokens, 80,
        "turn-2 (50) and turn-4 (30) sum into ONE row, not two"
    );
    assert_eq!(turn_count, 2);
    assert_eq!(last_active_ms, 3_000, "the later of turn-2/turn-4's clocks");

    let (input_tokens, turn_count, _, _) = by_key[&("conv-b".to_owned(), String::new())];
    assert_eq!(
        input_tokens, 10,
        "a turn with no attribution row reads as an empty caller id — \
         Control's own UNATTRIBUTED_PERSONA_ID bucket handles the mapping"
    );
    assert_eq!(turn_count, 1);
}

#[tokio::test]
async fn fleet_usage_sql_since_ms_excludes_earlier_turns_and_unattributed_zero_clocks() {
    let ctx = context();
    // Excludes turn-1 (clock 1_000) and turn-3 (clock 0, no model_call at
    // all — "excluded whenever this filter is set" per the route's own
    // contract), keeps turn-2 (2_000) and turn-4 (3_000).
    let df = ctx.sql(&with_since_ms(1_500)).await.unwrap();
    let batches = df.collect().await.unwrap();
    let rows: usize = batches.iter().map(RecordBatch::num_rows).sum();
    assert_eq!(
        rows, 1,
        "only the conv-a/persona-b group survives the 1_500ms floor"
    );

    let batch = &batches[0];
    let partition = batch
        .column_by_name("partition")
        .unwrap()
        .as_any()
        .downcast_ref::<StringArray>()
        .unwrap();
    let caller = batch
        .column_by_name("caller_persona_id")
        .unwrap()
        .as_any()
        .downcast_ref::<StringArray>()
        .unwrap();
    let input_tokens = batch
        .column_by_name("input_tokens")
        .unwrap()
        .as_any()
        .downcast_ref::<UInt64Array>()
        .unwrap();
    assert_eq!(partition.value(0), "conv-a");
    assert_eq!(caller.value(0), "persona-b");
    assert_eq!(
        input_tokens.value(0),
        80,
        "both turn-2 and turn-4 clear the 1_500ms floor"
    );
}