shelly_data/

integrations.rs

use crate::{
    error::{DataError, DataResult},
    query::{Query, WireFormatProfile},
    repo::{CompactRowsPayload, Row, StoredRow},
};
use serde::{Deserialize, Serialize};
use serde_json::Value;
use std::{
    collections::{BTreeMap, HashMap},
    fmt,
    future::Future,
    sync::{Arc, Mutex},
    thread,
    time::{Duration, Instant},
};
use tokio::time::sleep;
use tracing::{info, warn};

pub const CONTEXT_TAG_CORRELATION_ID: &str = "correlation_id";
pub const CONTEXT_TAG_REQUEST_ID: &str = "request_id";
pub const CONTEXT_TAG_TIMEOUT_MS: &str = "timeout_ms";
pub const CONTEXT_TAG_RETRY_MAX_ATTEMPTS: &str = "retry_max_attempts";
pub const CONTEXT_TAG_RETRY_INITIAL_BACKOFF_MS: &str = "retry_initial_backoff_ms";
pub const CONTEXT_TAG_RETRY_MAX_BACKOFF_MS: &str = "retry_max_backoff_ms";

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum IntegrationErrorKind {
    Transient,
    Permanent,
    Auth,
    RateLimited,
    Timeout,
    Unavailable,
    InvalidInput,
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct IntegrationError {
    pub source: String,
    pub kind: IntegrationErrorKind,
    pub message: String,
    pub code: Option<String>,
    pub retryable: bool,
}

impl IntegrationError {
    pub fn new(
        source: impl Into<String>,
        kind: IntegrationErrorKind,
        message: impl Into<String>,
    ) -> Self {
        let kind_value = kind;
        Self {
            source: source.into(),
            kind: kind_value,
            message: message.into(),
            code: None,
            retryable: matches!(
                kind_value,
                IntegrationErrorKind::Transient
                    | IntegrationErrorKind::RateLimited
                    | IntegrationErrorKind::Timeout
                    | IntegrationErrorKind::Unavailable
            ),
        }
    }

    pub fn with_code(mut self, code: impl Into<String>) -> Self {
        self.code = Some(code.into());
        self
    }
}

impl fmt::Display for IntegrationError {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        if let Some(code) = &self.code {
            write!(f, "[{}:{}] {}", self.source, code, self.message)
        } else {
            write!(f, "[{}] {}", self.source, self.message)
        }
    }
}

impl std::error::Error for IntegrationError {}

pub type IntegrationResult<T> = Result<T, IntegrationError>;

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub struct RetryPolicy {
    pub max_attempts: u32,
    pub initial_backoff_ms: u64,
    pub max_backoff_ms: u64,
}

impl RetryPolicy {
    pub fn conservative() -> Self {
        Self {
            max_attempts: 3,
            initial_backoff_ms: 50,
            max_backoff_ms: 500,
        }
    }

    pub fn never() -> Self {
        Self {
            max_attempts: 1,
            initial_backoff_ms: 0,
            max_backoff_ms: 0,
        }
    }
}

impl Default for RetryPolicy {
    fn default() -> Self {
        Self::conservative()
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub struct AdapterCallContract {
    pub retry_policy: RetryPolicy,
    pub timeout_ms: u64,
}

impl AdapterCallContract {
    pub fn low_latency() -> Self {
        Self {
            retry_policy: RetryPolicy::never(),
            timeout_ms: 250,
        }
    }

    pub fn default_query() -> Self {
        Self {
            retry_policy: RetryPolicy::conservative(),
            timeout_ms: 1_500,
        }
    }

    pub fn with_retry_policy(mut self, retry_policy: RetryPolicy) -> Self {
        self.retry_policy = retry_policy;
        self
    }

    pub fn with_timeout_ms(mut self, timeout_ms: u64) -> Self {
        self.timeout_ms = timeout_ms.max(1);
        self
    }
}

impl Default for AdapterCallContract {
    fn default() -> Self {
        Self::default_query()
    }
}

pub fn run_with_contract<T, F>(
    source: &str,
    operation: &str,
    contract: AdapterCallContract,
    context: &QueryContext,
    mut operation_fn: F,
) -> IntegrationResult<T>
where
    F: FnMut(u32) -> IntegrationResult<T>,
{
    let policy = context
        .retry_policy_override()
        .unwrap_or(contract.retry_policy);
    let attempts = policy.max_attempts.max(1);
    let timeout_ms = context.timeout_ms().unwrap_or(contract.timeout_ms.max(1));
    let mut backoff_ms = policy.initial_backoff_ms;

    for attempt in 1..=attempts {
        let started_at = Instant::now();
        let result = operation_fn(attempt);
        let elapsed_ms = started_at.elapsed().as_millis() as u64;
        if elapsed_ms > timeout_ms {
            return Err(IntegrationError::new(
                source,
                IntegrationErrorKind::Timeout,
                format!(
                    "{operation} exceeded timeout: elapsed={}ms timeout={}ms",
                    elapsed_ms, timeout_ms
                ),
            )
            .with_code("operation_timeout"));
        }

        match result {
            Ok(value) => return Ok(value),
            Err(err) if !err.retryable || attempt == attempts => return Err(err),
            Err(err) => {
                warn!(
                    target: "shelly.integration.query",
                    source,
                    operation,
                    attempt,
                    max_attempts = attempts,
                    tenant_id = ?context.tenant_id,
                    trace_id = ?context.trace_id,
                    correlation_id = context.correlation_id().unwrap_or("-"),
                    request_id = context.request_id().unwrap_or("-"),
                    timeout_ms,
                    backoff_ms,
                    error = %err,
                    "Shelly integration retrying transient failure without blocking sleep; use run_with_contract_async for non-blocking backoff"
                );
                backoff_ms = (backoff_ms.saturating_mul(2)).min(policy.max_backoff_ms.max(1));
            }
        }
    }

    Err(IntegrationError::new(
        source,
        IntegrationErrorKind::Transient,
        format!("{operation} retry exhausted"),
    )
    .with_code("retry_exhausted"))
}

pub fn run_with_retry<T, F>(policy: RetryPolicy, mut operation: F) -> IntegrationResult<T>
where
    F: FnMut(u32) -> IntegrationResult<T>,
{
    let attempts = policy.max_attempts.max(1);
    let mut backoff_ms = policy.initial_backoff_ms;

    for attempt in 1..=attempts {
        match operation(attempt) {
            Ok(value) => return Ok(value),
            Err(err) if !err.retryable || attempt == attempts => return Err(err),
            Err(_) => {
                backoff_ms = (backoff_ms.saturating_mul(2)).min(policy.max_backoff_ms.max(1));
            }
        }
    }

    Err(IntegrationError::new(
        "retry",
        IntegrationErrorKind::Transient,
        "retry exhausted",
    ))
}

pub async fn run_with_contract_async<T, F, Fut>(
    source: &str,
    operation: &str,
    contract: AdapterCallContract,
    context: &QueryContext,
    mut operation_fn: F,
) -> IntegrationResult<T>
where
    F: FnMut(u32) -> Fut,
    Fut: Future<Output = IntegrationResult<T>>,
{
    let policy = context
        .retry_policy_override()
        .unwrap_or(contract.retry_policy);
    let attempts = policy.max_attempts.max(1);
    let timeout_ms = context.timeout_ms().unwrap_or(contract.timeout_ms.max(1));
    let mut backoff_ms = policy.initial_backoff_ms;

    for attempt in 1..=attempts {
        let started_at = Instant::now();
        let result = operation_fn(attempt).await;
        let elapsed_ms = started_at.elapsed().as_millis() as u64;
        if elapsed_ms > timeout_ms {
            return Err(IntegrationError::new(
                source,
                IntegrationErrorKind::Timeout,
                format!(
                    "{operation} exceeded timeout: elapsed={}ms timeout={}ms",
                    elapsed_ms, timeout_ms
                ),
            )
            .with_code("operation_timeout"));
        }

        match result {
            Ok(value) => return Ok(value),
            Err(err) if !err.retryable || attempt == attempts => return Err(err),
            Err(err) => {
                warn!(
                    target: "shelly.integration.query",
                    source,
                    operation,
                    attempt,
                    max_attempts = attempts,
                    tenant_id = ?context.tenant_id,
                    trace_id = ?context.trace_id,
                    correlation_id = context.correlation_id().unwrap_or("-"),
                    request_id = context.request_id().unwrap_or("-"),
                    timeout_ms,
                    backoff_ms,
                    error = %err,
                    "Shelly integration retrying transient failure with non-blocking backoff"
                );
                if backoff_ms > 0 {
                    sleep(Duration::from_millis(backoff_ms)).await;
                }
                backoff_ms = (backoff_ms.saturating_mul(2)).min(policy.max_backoff_ms.max(1));
            }
        }
    }

    Err(IntegrationError::new(
        source,
        IntegrationErrorKind::Transient,
        format!("{operation} retry exhausted"),
    )
    .with_code("retry_exhausted"))
}

pub async fn run_with_retry_async<T, F, Fut>(
    policy: RetryPolicy,
    mut operation: F,
) -> IntegrationResult<T>
where
    F: FnMut(u32) -> Fut,
    Fut: Future<Output = IntegrationResult<T>>,
{
    let attempts = policy.max_attempts.max(1);
    let mut backoff_ms = policy.initial_backoff_ms;

    for attempt in 1..=attempts {
        match operation(attempt).await {
            Ok(value) => return Ok(value),
            Err(err) if !err.retryable || attempt == attempts => return Err(err),
            Err(_) => {
                if backoff_ms > 0 {
                    sleep(Duration::from_millis(backoff_ms)).await;
                }
                backoff_ms = (backoff_ms.saturating_mul(2)).min(policy.max_backoff_ms.max(1));
            }
        }
    }

    Err(IntegrationError::new(
        "retry",
        IntegrationErrorKind::Transient,
        "retry exhausted",
    ))
}

pub trait ConnectionLifecycleHook: Send + Sync {
    fn on_connect(&self) -> IntegrationResult<()> {
        Ok(())
    }

    fn on_disconnect(&self) -> IntegrationResult<()> {
        Ok(())
    }
}

pub trait ConnectionLifecycle {
    fn register_hook(&mut self, hook: Arc<dyn ConnectionLifecycleHook>);
    fn connect(&self) -> IntegrationResult<()>;
    fn disconnect(&self) -> IntegrationResult<()>;
}

#[derive(Default)]
pub struct LifecycleHooks {
    hooks: Vec<Arc<dyn ConnectionLifecycleHook>>,
}

impl LifecycleHooks {
    pub fn new() -> Self {
        Self::default()
    }
}

impl ConnectionLifecycle for LifecycleHooks {
    fn register_hook(&mut self, hook: Arc<dyn ConnectionLifecycleHook>) {
        self.hooks.push(hook);
    }

    fn connect(&self) -> IntegrationResult<()> {
        for hook in &self.hooks {
            hook.on_connect()?;
        }
        Ok(())
    }

    fn disconnect(&self) -> IntegrationResult<()> {
        for hook in &self.hooks {
            hook.on_disconnect()?;
        }
        Ok(())
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct QueryContext {
    pub tenant_id: Option<String>,
    pub trace_id: Option<String>,
    pub tags: BTreeMap<String, String>,
}

impl QueryContext {
    pub fn with_tenant_id(mut self, tenant_id: impl Into<String>) -> Self {
        let tenant_id = tenant_id.into();
        let tenant_id = tenant_id.trim();
        if tenant_id.is_empty() {
            self.tenant_id = None;
        } else {
            self.tenant_id = Some(tenant_id.to_string());
        }
        self
    }

    pub fn with_tag(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
        self.tags.insert(key.into(), value.into());
        self
    }

    pub fn with_correlation_id(self, correlation_id: impl Into<String>) -> Self {
        self.with_tag(CONTEXT_TAG_CORRELATION_ID, correlation_id.into())
    }

    pub fn with_request_id(self, request_id: impl Into<String>) -> Self {
        self.with_tag(CONTEXT_TAG_REQUEST_ID, request_id.into())
    }

    pub fn with_timeout_ms(self, timeout_ms: u64) -> Self {
        self.with_tag(CONTEXT_TAG_TIMEOUT_MS, timeout_ms.to_string())
    }

    pub fn with_retry_policy(self, policy: RetryPolicy) -> Self {
        self.with_tag(
            CONTEXT_TAG_RETRY_MAX_ATTEMPTS,
            policy.max_attempts.to_string(),
        )
        .with_tag(
            CONTEXT_TAG_RETRY_INITIAL_BACKOFF_MS,
            policy.initial_backoff_ms.to_string(),
        )
        .with_tag(
            CONTEXT_TAG_RETRY_MAX_BACKOFF_MS,
            policy.max_backoff_ms.to_string(),
        )
    }

    pub fn correlation_id(&self) -> Option<&str> {
        self.tags
            .get(CONTEXT_TAG_CORRELATION_ID)
            .map(String::as_str)
            .map(str::trim)
            .filter(|value| !value.is_empty())
    }

    pub fn request_id(&self) -> Option<&str> {
        self.tags
            .get(CONTEXT_TAG_REQUEST_ID)
            .map(String::as_str)
            .map(str::trim)
            .filter(|value| !value.is_empty())
    }

    pub fn timeout_ms(&self) -> Option<u64> {
        self.tags
            .get(CONTEXT_TAG_TIMEOUT_MS)
            .and_then(|value| value.parse::<u64>().ok())
            .filter(|value| *value > 0)
    }

    pub fn retry_policy_override(&self) -> Option<RetryPolicy> {
        let max_attempts = self
            .tags
            .get(CONTEXT_TAG_RETRY_MAX_ATTEMPTS)
            .and_then(|value| value.parse::<u32>().ok())?;
        let initial_backoff_ms = self
            .tags
            .get(CONTEXT_TAG_RETRY_INITIAL_BACKOFF_MS)
            .and_then(|value| value.parse::<u64>().ok())
            .unwrap_or(0);
        let max_backoff_ms = self
            .tags
            .get(CONTEXT_TAG_RETRY_MAX_BACKOFF_MS)
            .and_then(|value| value.parse::<u64>().ok())
            .unwrap_or(initial_backoff_ms);
        Some(RetryPolicy {
            max_attempts: max_attempts.max(1),
            initial_backoff_ms,
            max_backoff_ms: max_backoff_ms.max(initial_backoff_ms),
        })
    }
}

pub trait TypedQueryBoundary {
    type Request: Send + Sync;
    type Response: Send + Sync;

    fn execute(
        &self,
        request: &Self::Request,
        context: &QueryContext,
    ) -> IntegrationResult<Self::Response>;
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct SqlCommand {
    pub statement: String,
    pub params: Vec<Value>,
}

impl SqlCommand {
    pub fn new(statement: impl Into<String>, params: Vec<Value>) -> Self {
        Self {
            statement: statement.into(),
            params,
        }
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct DataWindowRequest {
    pub dataset: String,
    pub offset: usize,
    pub limit: usize,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub query_token: Option<String>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub window_token: Option<String>,
    #[serde(default)]
    pub wire_format: WireFormatProfile,
}

impl DataWindowRequest {
    pub fn new(dataset: impl Into<String>, offset: usize, limit: usize) -> Self {
        Self {
            dataset: dataset.into(),
            offset,
            limit: limit.max(1),
            query_token: None,
            window_token: None,
            wire_format: WireFormatProfile::Json,
        }
    }

    pub fn with_query_token(mut self, query_token: impl Into<String>) -> Self {
        self.query_token = Some(query_token.into());
        self
    }

    pub fn with_window_token(mut self, window_token: impl Into<String>) -> Self {
        self.window_token = Some(window_token.into());
        self
    }

    pub fn compact(mut self) -> Self {
        self.wire_format = WireFormatProfile::Compact;
        self
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct DataWindowResponse {
    pub dataset: String,
    pub offset: usize,
    pub limit: usize,
    pub total_rows: usize,
    pub query_token: String,
    pub window_token: String,
    pub rows: Vec<Row>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub compact_rows: Option<CompactRowsPayload>,
}

pub trait SingleStoreAdapter:
    TypedQueryBoundary<Request = SqlCommand, Response = Vec<Row>> + Send + Sync
{
    fn run_query(&self, query: SqlCommand, context: &QueryContext) -> IntegrationResult<Vec<Row>> {
        let started_at = Instant::now();
        let statement = query.statement.as_str();
        let param_count = query.params.len();
        let result = self.execute(&query, context);
        match &result {
            Ok(rows) => info!(
                target: "shelly.integration.query",
                source = "singlestore",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                tag_count = context.tags.len(),
                statement,
                param_count,
                row_count = rows.len(),
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration query executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "singlestore",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                tag_count = context.tags.len(),
                statement,
                param_count,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration query failed"
            ),
        }
        result
    }

    fn run_high_volume_window_query(
        &self,
        query: SqlCommand,
        request: DataWindowRequest,
        context: &QueryContext,
    ) -> IntegrationResult<DataWindowResponse> {
        let rows = self.run_query(query, context)?;
        Ok(materialize_window_response(
            "singlestore",
            request,
            rows,
            None,
        ))
    }
}

pub trait ClickHouseAdapter:
    TypedQueryBoundary<Request = SqlCommand, Response = Vec<Row>> + Send + Sync
{
    fn run_query(&self, query: SqlCommand, context: &QueryContext) -> IntegrationResult<Vec<Row>> {
        let started_at = Instant::now();
        let statement = query.statement.as_str();
        let param_count = query.params.len();
        let result = self.execute(&query, context);
        match &result {
            Ok(rows) => info!(
                target: "shelly.integration.query",
                source = "clickhouse",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                correlation_id = context.correlation_id().unwrap_or("-"),
                request_id = context.request_id().unwrap_or("-"),
                tag_count = context.tags.len(),
                statement,
                param_count,
                row_count = rows.len(),
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration query executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "clickhouse",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                correlation_id = context.correlation_id().unwrap_or("-"),
                request_id = context.request_id().unwrap_or("-"),
                tag_count = context.tags.len(),
                statement,
                param_count,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration query failed"
            ),
        }
        result
    }

    fn run_high_volume_window_query(
        &self,
        query: SqlCommand,
        request: DataWindowRequest,
        context: &QueryContext,
    ) -> IntegrationResult<DataWindowResponse> {
        let rows = self.run_query(query, context)?;
        Ok(materialize_window_response(
            "clickhouse",
            request,
            rows,
            None,
        ))
    }
}

pub trait BigQueryAdapter:
    TypedQueryBoundary<Request = SqlCommand, Response = Vec<Row>> + Send + Sync
{
    fn run_query(&self, query: SqlCommand, context: &QueryContext) -> IntegrationResult<Vec<Row>> {
        let started_at = Instant::now();
        let statement = query.statement.as_str();
        let param_count = query.params.len();
        let result = self.execute(&query, context);
        match &result {
            Ok(rows) => info!(
                target: "shelly.integration.query",
                source = "bigquery",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                correlation_id = context.correlation_id().unwrap_or("-"),
                request_id = context.request_id().unwrap_or("-"),
                tag_count = context.tags.len(),
                statement,
                param_count,
                row_count = rows.len(),
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration query executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "bigquery",
                operation = "run_query",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                correlation_id = context.correlation_id().unwrap_or("-"),
                request_id = context.request_id().unwrap_or("-"),
                tag_count = context.tags.len(),
                statement,
                param_count,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration query failed"
            ),
        }
        result
    }

    fn run_high_volume_window_query(
        &self,
        query: SqlCommand,
        request: DataWindowRequest,
        context: &QueryContext,
    ) -> IntegrationResult<DataWindowResponse> {
        let rows = self.run_query(query, context)?;
        Ok(materialize_window_response("bigquery", request, rows, None))
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct SearchRequest {
    pub index: String,
    pub text: String,
    pub filters: Vec<crate::query::Filter>,
    pub page: usize,
    pub per_page: usize,
}

impl SearchRequest {
    pub fn new(index: impl Into<String>, text: impl Into<String>) -> Self {
        Self {
            index: index.into(),
            text: text.into(),
            filters: Vec::new(),
            page: 1,
            per_page: 25,
        }
    }

    pub fn with_filter(mut self, filter: crate::query::Filter) -> Self {
        self.filters.push(filter);
        self
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct SearchResponse {
    pub total_hits: usize,
    pub rows: Vec<StoredRow>,
}

pub trait OpenSearchAdapter:
    TypedQueryBoundary<Request = SearchRequest, Response = SearchResponse> + Send + Sync
{
    fn search(
        &self,
        request: SearchRequest,
        context: &QueryContext,
    ) -> IntegrationResult<SearchResponse> {
        let started_at = Instant::now();
        let index = request.index.as_str();
        let text = request.text.as_str();
        let filter_count = request.filters.len();
        let page = request.page;
        let per_page = request.per_page;
        let result = self.execute(&request, context);
        match &result {
            Ok(response) => info!(
                target: "shelly.integration.query",
                source = "opensearch",
                operation = "search",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                tag_count = context.tags.len(),
                index,
                text,
                filter_count,
                page,
                per_page,
                row_count = response.rows.len(),
                total_hits = response.total_hits,
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration query executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "opensearch",
                operation = "search",
                tenant_id = ?context.tenant_id,
                trace_id = ?context.trace_id,
                tag_count = context.tags.len(),
                index,
                text,
                filter_count,
                page,
                per_page,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration query failed"
            ),
        }
        result
    }

    fn search_window(
        &self,
        mut request: SearchRequest,
        window: DataWindowRequest,
        context: &QueryContext,
    ) -> IntegrationResult<DataWindowResponse> {
        let limit = window.limit.max(1);
        request.page = (window.offset / limit).saturating_add(1);
        request.per_page = limit;
        let response = self.search(request, context)?;
        let rows = response
            .rows
            .into_iter()
            .map(|row| row.data)
            .collect::<Vec<_>>();
        let query_token = window
            .query_token
            .unwrap_or_else(|| format!("opensearch:{}:{}", window.dataset, response.total_hits));
        let window_token = window.window_token.unwrap_or_else(|| {
            format!(
                "{query_token}:offset={}:limit={limit}:rows={}",
                window.offset,
                rows.len()
            )
        });
        let compact_rows =
            (window.wire_format == WireFormatProfile::Compact).then(|| encode_compact_rows(&rows));
        Ok(DataWindowResponse {
            dataset: window.dataset,
            offset: window.offset,
            limit,
            total_rows: response.total_hits,
            query_token,
            window_token,
            rows,
            compact_rows,
        })
    }
}

pub trait AnalyticsSink: Send + Sync {
    fn send_event(&self, event: AnalyticsEvent) -> IntegrationResult<()>;
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct AnalyticsEvent {
    pub namespace: String,
    pub name: String,
    pub payload: Value,
}

impl AnalyticsEvent {
    pub fn new(namespace: impl Into<String>, name: impl Into<String>, payload: Value) -> Self {
        Self {
            namespace: namespace.into(),
            name: name.into(),
            payload,
        }
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct JobRequest {
    pub workflow: String,
    pub payload: Value,
    pub idempotency_key: String,
    pub metadata: BTreeMap<String, String>,
}

impl JobRequest {
    pub fn new(
        workflow: impl Into<String>,
        payload: Value,
        idempotency_key: impl Into<String>,
    ) -> Self {
        Self {
            workflow: workflow.into(),
            payload,
            idempotency_key: idempotency_key.into(),
            metadata: BTreeMap::new(),
        }
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum JobState {
    Queued,
    Running,
    Succeeded,
    Failed,
    Canceled,
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct JobStatus {
    pub id: String,
    pub state: JobState,
    pub attempts: u32,
    pub result: Option<Value>,
    pub error: Option<IntegrationError>,
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct JobHandle {
    pub id: String,
    pub workflow: String,
    pub idempotency_key: String,
}

pub type JobCompletionCallback = Arc<dyn Fn(&JobStatus) + Send + Sync>;

pub trait JobOrchestrator: Send + Sync {
    fn enqueue(&self, request: JobRequest) -> IntegrationResult<JobHandle>;
    fn status(&self, id: &str) -> IntegrationResult<JobStatus>;
    fn poll(&self, id: &str, attempts: u32, backoff_ms: u64) -> IntegrationResult<JobStatus>;
    fn register_completion_callback(&self, callback: JobCompletionCallback);
}

pub trait TriggerDevAdapter: Send + Sync {
    fn trigger_workflow(&self, request: JobRequest) -> IntegrationResult<JobHandle>;
    fn workflow_status(&self, id: &str) -> IntegrationResult<JobStatus>;
    fn poll_workflow(
        &self,
        id: &str,
        attempts: u32,
        backoff_ms: u64,
    ) -> IntegrationResult<JobStatus>;
}

impl<T> TriggerDevAdapter for T
where
    T: JobOrchestrator + Send + Sync,
{
    fn trigger_workflow(&self, request: JobRequest) -> IntegrationResult<JobHandle> {
        self.enqueue(request)
    }

    fn workflow_status(&self, id: &str) -> IntegrationResult<JobStatus> {
        self.status(id)
    }

    fn poll_workflow(
        &self,
        id: &str,
        attempts: u32,
        backoff_ms: u64,
    ) -> IntegrationResult<JobStatus> {
        self.poll(id, attempts, backoff_ms)
    }
}

#[derive(Clone)]
pub struct AxiomTelemetryBridge<S: AnalyticsSink> {
    sink: Arc<S>,
    namespace: String,
}

impl<S: AnalyticsSink> AxiomTelemetryBridge<S> {
    pub fn new(sink: Arc<S>, namespace: impl Into<String>) -> Self {
        Self {
            sink,
            namespace: namespace.into(),
        }
    }

    pub fn emit(
        &self,
        name: impl Into<String>,
        payload: Value,
        context: &QueryContext,
    ) -> IntegrationResult<()> {
        let mut envelope = serde_json::Map::new();
        envelope.insert("payload".to_string(), payload);
        envelope.insert(
            "tenant_id".to_string(),
            context
                .tenant_id
                .as_ref()
                .map(|value| Value::String(value.clone()))
                .unwrap_or(Value::Null),
        );
        envelope.insert(
            "trace_id".to_string(),
            context
                .trace_id
                .as_ref()
                .map(|value| Value::String(value.clone()))
                .unwrap_or(Value::Null),
        );
        envelope.insert(
            "correlation_id".to_string(),
            context
                .correlation_id()
                .map(|value| Value::String(value.to_string()))
                .unwrap_or(Value::Null),
        );
        envelope.insert(
            "request_id".to_string(),
            context
                .request_id()
                .map(|value| Value::String(value.to_string()))
                .unwrap_or(Value::Null),
        );
        envelope.insert("tags".to_string(), serde_json::json!(context.tags));

        self.sink.send_event(AnalyticsEvent::new(
            self.namespace.clone(),
            name.into(),
            Value::Object(envelope),
        ))
    }
}

#[derive(Debug, Clone, Default)]
pub struct InMemorySingleStoreAdapter {
    rows: Vec<Row>,
}

impl InMemorySingleStoreAdapter {
    pub fn new(rows: Vec<Row>) -> Self {
        Self { rows }
    }
}

impl TypedQueryBoundary for InMemorySingleStoreAdapter {
    type Request = SqlCommand;
    type Response = Vec<Row>;

    fn execute(
        &self,
        request: &Self::Request,
        _context: &QueryContext,
    ) -> IntegrationResult<Self::Response> {
        if request.statement.trim().is_empty() {
            return Err(IntegrationError::new(
                "singlestore",
                IntegrationErrorKind::InvalidInput,
                "empty SQL statement",
            )
            .with_code("empty_statement"));
        }
        Ok(self.rows.clone())
    }
}

impl SingleStoreAdapter for InMemorySingleStoreAdapter {}

#[derive(Debug, Clone, Default)]
pub struct InMemoryClickHouseAdapter {
    rows: Vec<Row>,
}

impl InMemoryClickHouseAdapter {
    pub fn new(rows: Vec<Row>) -> Self {
        Self { rows }
    }
}

impl TypedQueryBoundary for InMemoryClickHouseAdapter {
    type Request = SqlCommand;
    type Response = Vec<Row>;

    fn execute(
        &self,
        request: &Self::Request,
        _context: &QueryContext,
    ) -> IntegrationResult<Self::Response> {
        if request.statement.trim().is_empty() {
            return Err(IntegrationError::new(
                "clickhouse",
                IntegrationErrorKind::InvalidInput,
                "empty SQL statement",
            )
            .with_code("empty_statement"));
        }
        Ok(self.rows.clone())
    }
}

impl ClickHouseAdapter for InMemoryClickHouseAdapter {}

#[derive(Debug, Clone, Default)]
pub struct InMemoryBigQueryAdapter {
    rows: Vec<Row>,
}

impl InMemoryBigQueryAdapter {
    pub fn new(rows: Vec<Row>) -> Self {
        Self { rows }
    }
}

impl TypedQueryBoundary for InMemoryBigQueryAdapter {
    type Request = SqlCommand;
    type Response = Vec<Row>;

    fn execute(
        &self,
        request: &Self::Request,
        _context: &QueryContext,
    ) -> IntegrationResult<Self::Response> {
        if request.statement.trim().is_empty() {
            return Err(IntegrationError::new(
                "bigquery",
                IntegrationErrorKind::InvalidInput,
                "empty SQL statement",
            )
            .with_code("empty_statement"));
        }
        Ok(self.rows.clone())
    }
}

impl BigQueryAdapter for InMemoryBigQueryAdapter {}

#[derive(Debug, Clone, Default)]
pub struct InMemoryOpenSearchAdapter {
    rows: Vec<StoredRow>,
}

impl InMemoryOpenSearchAdapter {
    pub fn new(rows: Vec<StoredRow>) -> Self {
        Self { rows }
    }
}

impl TypedQueryBoundary for InMemoryOpenSearchAdapter {
    type Request = SearchRequest;
    type Response = SearchResponse;

    fn execute(
        &self,
        request: &Self::Request,
        _context: &QueryContext,
    ) -> IntegrationResult<Self::Response> {
        if request.index.trim().is_empty() {
            return Err(IntegrationError::new(
                "opensearch",
                IntegrationErrorKind::InvalidInput,
                "search index must not be empty",
            )
            .with_code("empty_index"));
        }
        let needle = request.text.trim().to_lowercase();
        let mut filtered = self
            .rows
            .iter()
            .filter(|row| {
                if needle.is_empty() {
                    return true;
                }
                row.data.values().any(|value| {
                    value
                        .as_str()
                        .map(|text| text.to_lowercase().contains(&needle))
                        .unwrap_or(false)
                })
            })
            .cloned()
            .collect::<Vec<_>>();
        let total_hits = filtered.len();
        let page = request.page.max(1);
        let per_page = request.per_page.max(1);
        let offset = (page - 1) * per_page;
        filtered = filtered.into_iter().skip(offset).take(per_page).collect();
        Ok(SearchResponse {
            total_hits,
            rows: filtered,
        })
    }
}

impl OpenSearchAdapter for InMemoryOpenSearchAdapter {}

#[derive(Debug, Default, Clone)]
pub struct InMemoryAxiomSink {
    events: Arc<Mutex<Vec<AnalyticsEvent>>>,
}

impl InMemoryAxiomSink {
    pub fn events(&self) -> Vec<AnalyticsEvent> {
        self.events
            .lock()
            .map(|events| events.clone())
            .unwrap_or_default()
    }
}

impl AnalyticsSink for InMemoryAxiomSink {
    fn send_event(&self, event: AnalyticsEvent) -> IntegrationResult<()> {
        let started_at = Instant::now();
        let namespace = event.namespace.clone();
        let name = event.name.clone();
        self.events
            .lock()
            .map_err(|_| {
                IntegrationError::new(
                    "axiom",
                    IntegrationErrorKind::Unavailable,
                    "analytics sink lock poisoned",
                )
            })?
            .push(event);
        info!(
            target: "shelly.integration.query",
            source = "axiom",
            operation = "send_event",
            namespace,
            event_name = name,
            duration_ms = started_at.elapsed().as_millis() as u64,
            "Shelly integration call executed"
        );
        Ok(())
    }
}

#[derive(Default)]
pub struct InMemoryJobOrchestrator {
    statuses: Mutex<HashMap<String, JobStatus>>,
    callbacks: Mutex<Vec<JobCompletionCallback>>,
    next_id: Mutex<u64>,
}

impl InMemoryJobOrchestrator {
    pub fn mark_succeeded(&self, id: &str, result: Value) -> IntegrationResult<()> {
        let status = self.with_status_mut(id, |status| {
            status.state = JobState::Succeeded;
            status.result = Some(result);
            status.error = None;
        })?;
        self.notify(&status);
        Ok(())
    }

    pub fn mark_failed(&self, id: &str, error: IntegrationError) -> IntegrationResult<()> {
        let status = self.with_status_mut(id, |status| {
            status.state = JobState::Failed;
            status.result = None;
            status.error = Some(error);
        })?;
        self.notify(&status);
        Ok(())
    }

    fn with_status_mut<F>(&self, id: &str, update: F) -> IntegrationResult<JobStatus>
    where
        F: FnOnce(&mut JobStatus),
    {
        let mut statuses = self.statuses.lock().map_err(|_| {
            IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "job status lock poisoned",
            )
        })?;
        let Some(status) = statuses.get_mut(id) else {
            return Err(IntegrationError::new(
                "trigger",
                IntegrationErrorKind::InvalidInput,
                "job not found",
            )
            .with_code("job_not_found"));
        };
        status.attempts = status.attempts.saturating_add(1);
        update(status);
        Ok(status.clone())
    }

    fn notify(&self, status: &JobStatus) {
        if let Ok(callbacks) = self.callbacks.lock() {
            for callback in callbacks.iter() {
                callback(status);
            }
        }
    }

    fn is_terminal(state: JobState) -> bool {
        matches!(
            state,
            JobState::Succeeded | JobState::Failed | JobState::Canceled
        )
    }
}

impl JobOrchestrator for InMemoryJobOrchestrator {
    fn enqueue(&self, request: JobRequest) -> IntegrationResult<JobHandle> {
        let started_at = Instant::now();
        let workflow = request.workflow.clone();
        let idempotency_key = request.idempotency_key.clone();
        let mut next_id = self.next_id.lock().map_err(|_| {
            IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "job id lock poisoned",
            )
        })?;
        *next_id = next_id.saturating_add(1);
        let id = format!("job-{next_id}");
        let status = JobStatus {
            id: id.clone(),
            state: JobState::Queued,
            attempts: 0,
            result: None,
            error: None,
        };
        self.statuses
            .lock()
            .map_err(|_| {
                IntegrationError::new(
                    "trigger",
                    IntegrationErrorKind::Unavailable,
                    "job status lock poisoned",
                )
            })?
            .insert(id.clone(), status);
        let handle = JobHandle {
            id,
            workflow: request.workflow,
            idempotency_key: request.idempotency_key,
        };
        info!(
            target: "shelly.integration.query",
            source = "trigger",
            operation = "enqueue",
            workflow,
            idempotency_key,
            job_id = handle.id.as_str(),
            duration_ms = started_at.elapsed().as_millis() as u64,
            "Shelly integration call executed"
        );
        Ok(handle)
    }

    fn status(&self, id: &str) -> IntegrationResult<JobStatus> {
        let started_at = Instant::now();
        let result = self
            .statuses
            .lock()
            .map_err(|_| {
                IntegrationError::new(
                    "trigger",
                    IntegrationErrorKind::Unavailable,
                    "job status lock poisoned",
                )
            })?
            .get(id)
            .cloned()
            .ok_or_else(|| {
                IntegrationError::new(
                    "trigger",
                    IntegrationErrorKind::InvalidInput,
                    "job not found",
                )
                .with_code("job_not_found")
            });
        match &result {
            Ok(status) => info!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "status",
                job_id = id,
                job_state = ?status.state,
                attempts = status.attempts,
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration call executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "status",
                job_id = id,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration call failed"
            ),
        }
        result
    }

    fn poll(&self, id: &str, attempts: u32, backoff_ms: u64) -> IntegrationResult<JobStatus> {
        let started_at = Instant::now();
        let attempts = attempts.max(1);
        let mut polled = 0u32;
        for current in 1..=attempts {
            let status = self.status(id)?;
            polled = current;
            if Self::is_terminal(status.state) || current == attempts {
                info!(
                    target: "shelly.integration.query",
                    source = "trigger",
                    operation = "poll",
                    job_id = id,
                    attempts = polled,
                    backoff_ms,
                    terminal = Self::is_terminal(status.state),
                    job_state = ?status.state,
                    duration_ms = started_at.elapsed().as_millis() as u64,
                    "Shelly integration call executed"
                );
                return Ok(status);
            }
            if backoff_ms > 0 {
                thread::sleep(Duration::from_millis(backoff_ms));
            }
        }

        let result = self.status(id);
        match &result {
            Ok(status) => info!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "poll",
                job_id = id,
                attempts = polled,
                backoff_ms,
                terminal = Self::is_terminal(status.state),
                job_state = ?status.state,
                duration_ms = started_at.elapsed().as_millis() as u64,
                "Shelly integration call executed"
            ),
            Err(err) => warn!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "poll",
                job_id = id,
                attempts = polled,
                backoff_ms,
                duration_ms = started_at.elapsed().as_millis() as u64,
                error = %err,
                "Shelly integration call failed"
            ),
        }
        result
    }

    fn register_completion_callback(&self, callback: JobCompletionCallback) {
        if let Ok(mut callbacks) = self.callbacks.lock() {
            callbacks.push(callback);
            info!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "register_completion_callback",
                callback_count = callbacks.len(),
                "Shelly integration callback registered"
            );
        } else {
            warn!(
                target: "shelly.integration.query",
                source = "trigger",
                operation = "register_completion_callback",
                "Shelly integration callback registration failed"
            );
        }
    }
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct AdapterConformanceCheck {
    pub name: String,
    pub passed: bool,
    pub detail: String,
}

#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct AdapterConformanceReport {
    pub checks: Vec<AdapterConformanceCheck>,
}

impl AdapterConformanceReport {
    pub fn passed(&self) -> bool {
        self.checks.iter().all(|check| check.passed)
    }

    pub fn add_pass(&mut self, name: impl Into<String>, detail: impl Into<String>) {
        self.checks.push(AdapterConformanceCheck {
            name: name.into(),
            passed: true,
            detail: detail.into(),
        });
    }

    pub fn add_fail(&mut self, name: impl Into<String>, detail: impl Into<String>) {
        self.checks.push(AdapterConformanceCheck {
            name: name.into(),
            passed: false,
            detail: detail.into(),
        });
    }
}

pub fn run_adapter_conformance_suite(
    singlestore: &dyn SingleStoreAdapter,
    clickhouse: &dyn ClickHouseAdapter,
    bigquery: &dyn BigQueryAdapter,
    opensearch: &dyn OpenSearchAdapter,
    trigger: &dyn TriggerDevAdapter,
    analytics: &dyn AnalyticsSink,
    context: &QueryContext,
) -> AdapterConformanceReport {
    let mut report = AdapterConformanceReport::default();

    match singlestore.run_query(
        SqlCommand::new(
            "SELECT tenant, active_accounts FROM tenant_rollup",
            Vec::new(),
        ),
        context,
    ) {
        Ok(rows) => report.add_pass("singlestore.query", format!("rows={}", rows.len())),
        Err(err) => report.add_fail("singlestore.query", err.to_string()),
    }

    match clickhouse.run_query(
        SqlCommand::new("SELECT account, events FROM account_events", Vec::new()),
        context,
    ) {
        Ok(rows) => report.add_pass("clickhouse.query", format!("rows={}", rows.len())),
        Err(err) => report.add_fail("clickhouse.query", err.to_string()),
    }

    match bigquery.run_query(
        SqlCommand::new("SELECT account, arr FROM analytics_rollup", Vec::new()),
        context,
    ) {
        Ok(rows) => report.add_pass("bigquery.query", format!("rows={}", rows.len())),
        Err(err) => report.add_fail("bigquery.query", err.to_string()),
    }

    match opensearch.search(SearchRequest::new("accounts", ""), context) {
        Ok(response) => report.add_pass(
            "opensearch.search",
            format!(
                "rows={} total_hits={}",
                response.rows.len(),
                response.total_hits
            ),
        ),
        Err(err) => report.add_fail("opensearch.search", err.to_string()),
    }

    match trigger.trigger_workflow(JobRequest::new(
        "adapter_conformance_probe",
        serde_json::json!({"probe": true}),
        "adapter-conformance-probe",
    )) {
        Ok(handle) => {
            report.add_pass("trigger.enqueue", format!("id={}", handle.id));
            match trigger.workflow_status(&handle.id) {
                Ok(status) => report.add_pass(
                    "trigger.status",
                    format!("state={:?} attempts={}", status.state, status.attempts),
                ),
                Err(err) => report.add_fail("trigger.status", err.to_string()),
            }
        }
        Err(err) => report.add_fail("trigger.enqueue", err.to_string()),
    }

    let analytics_event = AnalyticsEvent::new(
        "adapter_conformance",
        "probe",
        serde_json::json!({
            "trace_id": context.trace_id,
            "correlation_id": context.correlation_id(),
            "request_id": context.request_id(),
        }),
    );
    match analytics.send_event(analytics_event) {
        Ok(()) => report.add_pass("analytics.emit", "event accepted"),
        Err(err) => report.add_fail("analytics.emit", err.to_string()),
    }

    let context_correlation_check =
        context.correlation_id().is_some() && context.request_id().is_some();
    if context_correlation_check {
        report.add_pass(
            "context.correlation",
            "correlation_id and request_id present",
        );
    } else {
        report.add_fail(
            "context.correlation",
            "missing correlation_id/request_id; set QueryContext::with_correlation_id + with_request_id",
        );
    }

    let retry_override_context = context.clone().with_retry_policy(RetryPolicy {
        max_attempts: 2,
        initial_backoff_ms: 0,
        max_backoff_ms: 0,
    });
    let mut retry_attempts = 0u32;
    match run_with_contract(
        "conformance",
        "retry_override_probe",
        AdapterCallContract::default_query(),
        &retry_override_context,
        |attempt| {
            retry_attempts = attempt;
            if attempt == 1 {
                Err(IntegrationError::new(
                    "conformance",
                    IntegrationErrorKind::Transient,
                    "transient probe failure",
                ))
            } else {
                Ok("ok")
            }
        },
    ) {
        Ok(_) if retry_attempts == 2 => report.add_pass(
            "contract.retry_override",
            "retry override honored with bounded attempts",
        ),
        Ok(_) => report.add_fail(
            "contract.retry_override",
            format!("unexpected attempts={retry_attempts} expected=2"),
        ),
        Err(err) => report.add_fail("contract.retry_override", err.to_string()),
    }

    let timeout_context = context.clone().with_timeout_ms(1);
    match run_with_contract(
        "conformance",
        "timeout_probe",
        AdapterCallContract::default_query(),
        &timeout_context,
        |_| {
            thread::sleep(Duration::from_millis(5));
            Ok::<_, IntegrationError>("done")
        },
    ) {
        Err(err) if err.kind == IntegrationErrorKind::Timeout => {
            report.add_pass("contract.timeout", "timeout classification validated")
        }
        Err(err) => report.add_fail("contract.timeout", err.to_string()),
        Ok(_) => report.add_fail(
            "contract.timeout",
            "expected timeout but operation returned success",
        ),
    }

    report
}

pub fn map_integration_error(source: impl Into<String>, err: IntegrationError) -> DataError {
    DataError::Integration(format!("[{}] {}", source.into(), err))
}

pub fn map_integration_result<T>(
    source: impl Into<String>,
    result: IntegrationResult<T>,
) -> DataResult<T> {
    result.map_err(|err| map_integration_error(source, err))
}

pub fn query_from_search(request: &SearchRequest) -> Query {
    let mut query = Query::new().paginate(request.page, request.per_page);
    for filter in &request.filters {
        query = query.where_filter(filter.clone());
    }
    query
}

fn materialize_window_response(
    source: &str,
    request: DataWindowRequest,
    rows: Vec<Row>,
    total_rows_hint: Option<usize>,
) -> DataWindowResponse {
    let total_rows = total_rows_hint.unwrap_or(rows.len());
    let offset = request.offset.min(total_rows);
    let limit = request.limit.max(1);
    let window_rows = rows
        .into_iter()
        .skip(offset)
        .take(limit)
        .collect::<Vec<_>>();
    let query_token = request
        .query_token
        .unwrap_or_else(|| format!("{source}:{}:{}", request.dataset, total_rows));
    let window_token = request.window_token.unwrap_or_else(|| {
        format!(
            "{query_token}:offset={offset}:limit={limit}:rows={}",
            window_rows.len()
        )
    });
    let compact_rows = (request.wire_format == WireFormatProfile::Compact)
        .then(|| encode_compact_rows(&window_rows));

    DataWindowResponse {
        dataset: request.dataset,
        offset,
        limit,
        total_rows,
        query_token,
        window_token,
        rows: window_rows,
        compact_rows,
    }
}

fn encode_compact_rows(rows: &[Row]) -> CompactRowsPayload {
    let mut columns: Vec<String> = Vec::new();
    for row in rows {
        for key in row.keys() {
            if !columns.iter().any(|column| column == key) {
                columns.push(key.clone());
            }
        }
    }

    let encoded_rows = rows
        .iter()
        .map(|row| {
            columns
                .iter()
                .map(|column| row.get(column).cloned().unwrap_or(Value::Null))
                .collect::<Vec<_>>()
        })
        .collect::<Vec<_>>();

    CompactRowsPayload {
        columns,
        rows: encoded_rows,
    }
}

#[cfg(test)]
mod tests {
    use super::{
        map_integration_result, run_adapter_conformance_suite, run_with_contract,
        run_with_contract_async, run_with_retry, run_with_retry_async, AdapterCallContract,
        AnalyticsEvent, AnalyticsSink, AxiomTelemetryBridge, BigQueryAdapter, ClickHouseAdapter,
        ConnectionLifecycle, ConnectionLifecycleHook, DataWindowRequest, InMemoryAxiomSink,
        InMemoryBigQueryAdapter, InMemoryClickHouseAdapter, InMemoryJobOrchestrator,
        InMemoryOpenSearchAdapter, InMemorySingleStoreAdapter, IntegrationError,
        IntegrationErrorKind, JobHandle, JobOrchestrator, JobRequest, JobState, JobStatus,
        LifecycleHooks, OpenSearchAdapter, QueryContext, RetryPolicy, SearchRequest,
        SearchResponse, SingleStoreAdapter, SqlCommand, TriggerDevAdapter, TypedQueryBoundary,
        CONTEXT_TAG_CORRELATION_ID, CONTEXT_TAG_REQUEST_ID, CONTEXT_TAG_TIMEOUT_MS,
    };
    use serde_json::{json, Value};
    use std::sync::{Arc, Mutex};

    struct CountingHook {
        connects: Arc<Mutex<u32>>,
        disconnects: Arc<Mutex<u32>>,
    }

    impl ConnectionLifecycleHook for CountingHook {
        fn on_connect(&self) -> super::IntegrationResult<()> {
            let mut guard = self.connects.lock().unwrap();
            *guard += 1;
            Ok(())
        }

        fn on_disconnect(&self) -> super::IntegrationResult<()> {
            let mut guard = self.disconnects.lock().unwrap();
            *guard += 1;
            Ok(())
        }
    }

    #[test]
    fn lifecycle_hooks_are_called() {
        let connects = Arc::new(Mutex::new(0));
        let disconnects = Arc::new(Mutex::new(0));
        let mut lifecycle = LifecycleHooks::new();
        lifecycle.register_hook(Arc::new(CountingHook {
            connects: connects.clone(),
            disconnects: disconnects.clone(),
        }));

        lifecycle.connect().unwrap();
        lifecycle.disconnect().unwrap();
        assert_eq!(*connects.lock().unwrap(), 1);
        assert_eq!(*disconnects.lock().unwrap(), 1);
    }

    #[test]
    fn retry_policy_retries_transient_errors() {
        let mut calls = 0u32;
        let result = run_with_retry(RetryPolicy::conservative(), |attempt| {
            calls = attempt;
            if attempt < 3 {
                Err(IntegrationError::new(
                    "opensearch",
                    IntegrationErrorKind::Transient,
                    "temporary failure",
                ))
            } else {
                Ok("ok")
            }
        })
        .unwrap();

        assert_eq!(result, "ok");
        assert_eq!(calls, 3);
    }

    #[test]
    fn retry_policy_stops_on_permanent_errors() {
        let mut calls = 0u32;
        let err = run_with_retry(RetryPolicy::conservative(), |attempt| {
            calls = attempt;
            Err::<(), IntegrationError>(IntegrationError::new(
                "singlestore",
                IntegrationErrorKind::Permanent,
                "invalid sql",
            ))
        })
        .unwrap_err();

        assert_eq!(calls, 1);
        assert_eq!(err.kind, IntegrationErrorKind::Permanent);
    }

    #[test]
    fn integration_result_maps_into_data_error() {
        let mapped = map_integration_result::<()>(
            "trigger",
            Err(IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "service unavailable",
            )),
        )
        .unwrap_err();

        assert!(mapped.to_string().contains("service unavailable"));
    }

    #[derive(Default)]
    struct InMemoryJobs {
        statuses: Arc<Mutex<Vec<JobStatus>>>,
        callbacks: Arc<Mutex<Vec<super::JobCompletionCallback>>>,
    }

    impl JobOrchestrator for InMemoryJobs {
        fn enqueue(&self, request: JobRequest) -> super::IntegrationResult<JobHandle> {
            let id = format!("job-{}", request.idempotency_key);
            self.statuses.lock().unwrap().push(JobStatus {
                id: id.clone(),
                state: JobState::Queued,
                attempts: 0,
                result: None,
                error: None,
            });
            Ok(JobHandle {
                id,
                workflow: request.workflow,
                idempotency_key: request.idempotency_key,
            })
        }

        fn status(&self, id: &str) -> super::IntegrationResult<JobStatus> {
            self.statuses
                .lock()
                .unwrap()
                .iter()
                .find(|status| status.id == id)
                .cloned()
                .ok_or_else(|| {
                    IntegrationError::new(
                        "trigger",
                        IntegrationErrorKind::InvalidInput,
                        "job not found",
                    )
                })
        }

        fn poll(
            &self,
            id: &str,
            _attempts: u32,
            _backoff_ms: u64,
        ) -> super::IntegrationResult<JobStatus> {
            self.status(id)
        }

        fn register_completion_callback(&self, callback: super::JobCompletionCallback) {
            self.callbacks.lock().unwrap().push(callback);
        }
    }

    #[test]
    fn job_orchestration_contract_supports_enqueue_and_status() {
        let jobs = InMemoryJobs::default();
        let handle = jobs
            .enqueue(JobRequest::new(
                "sync_customer",
                json!({"id": 42}),
                "idempotent-42",
            ))
            .unwrap();
        let status = jobs.status(&handle.id).unwrap();
        assert_eq!(status.state, JobState::Queued);
        assert_eq!(handle.idempotency_key, "idempotent-42");

        let ctx = QueryContext::default().with_tenant_id("tenant-a");
        assert_eq!(ctx.tenant_id.as_deref(), Some("tenant-a"));
    }

    #[test]
    fn reference_singlestore_adapter_runs_typed_sql_boundary() {
        let adapter = InMemorySingleStoreAdapter::new(vec![std::collections::BTreeMap::from([(
            "region".to_string(),
            Value::String("EMEA".to_string()),
        )])]);
        let rows = adapter
            .run_query(
                SqlCommand::new("SELECT region FROM accounts", Vec::new()),
                &QueryContext::default(),
            )
            .unwrap();
        assert_eq!(rows.len(), 1);
        assert_eq!(
            rows[0].get("region"),
            Some(&Value::String("EMEA".to_string()))
        );
    }

    #[test]
    fn reference_clickhouse_adapter_runs_typed_sql_boundary() {
        let adapter = InMemoryClickHouseAdapter::new(vec![std::collections::BTreeMap::from([(
            "events".to_string(),
            Value::Number(128.into()),
        )])]);
        let rows = adapter
            .run_query(
                SqlCommand::new("SELECT events FROM account_events", Vec::new()),
                &QueryContext::default(),
            )
            .unwrap();
        assert_eq!(rows.len(), 1);
        assert_eq!(rows[0].get("events"), Some(&Value::Number(128.into())));
    }

    #[test]
    fn reference_bigquery_adapter_runs_typed_sql_boundary() {
        let adapter = InMemoryBigQueryAdapter::new(vec![std::collections::BTreeMap::from([(
            "active_accounts".to_string(),
            Value::Number(64.into()),
        )])]);
        let rows = adapter
            .run_query(
                SqlCommand::new("SELECT active_accounts FROM analytics_rollup", Vec::new()),
                &QueryContext::default(),
            )
            .unwrap();
        assert_eq!(rows.len(), 1);
        assert_eq!(
            rows[0].get("active_accounts"),
            Some(&Value::Number(64.into()))
        );
    }

    #[test]
    fn reference_opensearch_adapter_filters_rows() {
        let rows = vec![
            crate::StoredRow {
                id: 1,
                data: std::collections::BTreeMap::from([(
                    "title".to_string(),
                    Value::String("Acme renewal".to_string()),
                )]),
            },
            crate::StoredRow {
                id: 2,
                data: std::collections::BTreeMap::from([(
                    "title".to_string(),
                    Value::String("Globex onboarding".to_string()),
                )]),
            },
        ];
        let adapter = InMemoryOpenSearchAdapter::new(rows);
        let response = adapter
            .search(
                SearchRequest::new("accounts", "renewal"),
                &QueryContext::default(),
            )
            .unwrap();
        assert_eq!(response.total_hits, 1);
        assert_eq!(response.rows[0].id, 1);
    }

    #[test]
    fn high_volume_window_query_profiles_support_compact_payloads() {
        let sql_rows = vec![
            std::collections::BTreeMap::from([
                ("tenant".to_string(), Value::String("north".to_string())),
                ("arr".to_string(), Value::Number(120.into())),
            ]),
            std::collections::BTreeMap::from([
                ("tenant".to_string(), Value::String("south".to_string())),
                ("arr".to_string(), Value::Number(210.into())),
            ]),
            std::collections::BTreeMap::from([
                ("tenant".to_string(), Value::String("west".to_string())),
                ("arr".to_string(), Value::Number(330.into())),
            ]),
            std::collections::BTreeMap::from([
                ("tenant".to_string(), Value::String("east".to_string())),
                ("arr".to_string(), Value::Number(480.into())),
            ]),
        ];
        let context = QueryContext::default();
        let request = DataWindowRequest::new("tenant_rollup", 1, 2)
            .with_query_token("q:m51")
            .compact();

        let singlestore = InMemorySingleStoreAdapter::new(sql_rows.clone());
        let clickhouse = InMemoryClickHouseAdapter::new(sql_rows.clone());
        let bigquery = InMemoryBigQueryAdapter::new(sql_rows.clone());

        for response in [
            singlestore
                .run_high_volume_window_query(
                    SqlCommand::new("SELECT * FROM tenant_rollup", Vec::new()),
                    request.clone(),
                    &context,
                )
                .expect("singlestore window query"),
            clickhouse
                .run_high_volume_window_query(
                    SqlCommand::new("SELECT * FROM tenant_rollup", Vec::new()),
                    request.clone(),
                    &context,
                )
                .expect("clickhouse window query"),
            bigquery
                .run_high_volume_window_query(
                    SqlCommand::new("SELECT * FROM tenant_rollup", Vec::new()),
                    request.clone(),
                    &context,
                )
                .expect("bigquery window query"),
        ] {
            assert_eq!(response.dataset, "tenant_rollup");
            assert_eq!(response.rows.len(), 2);
            assert_eq!(response.total_rows, 4);
            assert_eq!(response.query_token, "q:m51");
            let compact = response.compact_rows.expect("compact payload");
            assert!(compact.columns.contains(&"tenant".to_string()));
            assert!(compact.columns.contains(&"arr".to_string()));
            assert_eq!(compact.rows.len(), response.rows.len());
        }
    }

    #[test]
    fn opensearch_window_search_uses_window_contract() {
        let rows = vec![
            crate::StoredRow {
                id: 1,
                data: std::collections::BTreeMap::from([
                    ("tenant".to_string(), Value::String("acme".to_string())),
                    ("status".to_string(), Value::String("healthy".to_string())),
                ]),
            },
            crate::StoredRow {
                id: 2,
                data: std::collections::BTreeMap::from([
                    ("tenant".to_string(), Value::String("globex".to_string())),
                    ("status".to_string(), Value::String("renewal".to_string())),
                ]),
            },
            crate::StoredRow {
                id: 3,
                data: std::collections::BTreeMap::from([
                    ("tenant".to_string(), Value::String("initech".to_string())),
                    ("status".to_string(), Value::String("at-risk".to_string())),
                ]),
            },
        ];
        let adapter = InMemoryOpenSearchAdapter::new(rows);
        let response = adapter
            .search_window(
                SearchRequest::new("accounts", ""),
                DataWindowRequest::new("accounts", 1, 2).compact(),
                &QueryContext::default(),
            )
            .expect("opensearch window search");

        assert_eq!(response.dataset, "accounts");
        assert_eq!(response.offset, 1);
        assert_eq!(response.limit, 2);
        assert_eq!(response.total_rows, 3);
        assert_eq!(response.rows.len(), 2);
        assert!(response.compact_rows.is_some());
        assert!(!response.window_token.is_empty());
    }

    #[test]
    fn reference_axiom_sink_records_events() {
        let sink = InMemoryAxiomSink::default();
        sink.send_event(AnalyticsEvent::new(
            "sales",
            "query_executed",
            json!({"latency_ms": 12}),
        ))
        .unwrap();
        let events = sink.events();
        assert_eq!(events.len(), 1);
        assert_eq!(events[0].name, "query_executed");
    }

    #[test]
    fn reference_trigger_orchestrator_supports_completion_and_polling() {
        let orchestrator = InMemoryJobOrchestrator::default();
        let completed = Arc::new(Mutex::new(false));
        let completed_flag = completed.clone();
        orchestrator.register_completion_callback(Arc::new(move |status| {
            if status.state == JobState::Succeeded {
                if let Ok(mut guard) = completed_flag.lock() {
                    *guard = true;
                }
            }
        }));

        let handle = orchestrator
            .enqueue(JobRequest::new(
                "refresh_dashboard",
                json!({"account_id": 7}),
                "refresh-7",
            ))
            .unwrap();
        orchestrator
            .mark_succeeded(&handle.id, json!({"rows_synced": 18}))
            .unwrap();
        let status = orchestrator.poll(&handle.id, 2, 0).unwrap();
        assert_eq!(status.state, JobState::Succeeded);
        assert_eq!(
            status.result,
            Some(json!({
                "rows_synced": 18
            }))
        );
        assert!(*completed.lock().unwrap());
    }

    #[test]
    fn query_context_helpers_encode_trace_correlation_retry_timeout() {
        let context = QueryContext::default()
            .with_correlation_id("corr-42")
            .with_request_id("req-42")
            .with_timeout_ms(900)
            .with_retry_policy(RetryPolicy {
                max_attempts: 4,
                initial_backoff_ms: 25,
                max_backoff_ms: 100,
            });

        assert_eq!(
            context
                .tags
                .get(CONTEXT_TAG_CORRELATION_ID)
                .map(String::as_str),
            Some("corr-42")
        );
        assert_eq!(
            context.tags.get(CONTEXT_TAG_REQUEST_ID).map(String::as_str),
            Some("req-42")
        );
        assert_eq!(
            context.tags.get(CONTEXT_TAG_TIMEOUT_MS).map(String::as_str),
            Some("900")
        );
        assert_eq!(context.correlation_id(), Some("corr-42"));
        assert_eq!(context.request_id(), Some("req-42"));
        assert_eq!(context.timeout_ms(), Some(900));
        assert_eq!(
            context.retry_policy_override(),
            Some(RetryPolicy {
                max_attempts: 4,
                initial_backoff_ms: 25,
                max_backoff_ms: 100
            })
        );
    }

    #[test]
    fn run_with_contract_respects_context_retry_override() {
        let context = QueryContext::default().with_retry_policy(RetryPolicy {
            max_attempts: 2,
            initial_backoff_ms: 0,
            max_backoff_ms: 0,
        });
        let mut attempts = 0u32;
        let result = run_with_contract(
            "opensearch",
            "search",
            AdapterCallContract::default()
                .with_retry_policy(RetryPolicy::never())
                .with_timeout_ms(1_000),
            &context,
            |attempt| {
                attempts = attempt;
                if attempt == 1 {
                    Err(IntegrationError::new(
                        "opensearch",
                        IntegrationErrorKind::Transient,
                        "temporary failure",
                    ))
                } else {
                    Ok("ok")
                }
            },
        )
        .unwrap();
        assert_eq!(result, "ok");
        assert_eq!(attempts, 2);
    }

    #[tokio::test]
    async fn run_with_contract_async_respects_context_retry_override() {
        let context = QueryContext::default().with_retry_policy(RetryPolicy {
            max_attempts: 2,
            initial_backoff_ms: 0,
            max_backoff_ms: 0,
        });
        let attempts = Arc::new(Mutex::new(0u32));
        let attempts_for_closure = attempts.clone();
        let result = run_with_contract_async(
            "opensearch",
            "search_async",
            AdapterCallContract::default()
                .with_retry_policy(RetryPolicy::never())
                .with_timeout_ms(1_000),
            &context,
            move |attempt| {
                let attempts_for_step = attempts_for_closure.clone();
                async move {
                    if let Ok(mut guard) = attempts_for_step.lock() {
                        *guard = attempt;
                    }
                    if attempt == 1 {
                        Err(IntegrationError::new(
                            "opensearch",
                            IntegrationErrorKind::Transient,
                            "temporary failure",
                        ))
                    } else {
                        Ok("ok")
                    }
                }
            },
        )
        .await
        .unwrap();
        assert_eq!(result, "ok");
        assert_eq!(*attempts.lock().unwrap(), 2);
    }

    #[tokio::test]
    async fn run_with_retry_async_retries_transient_errors() {
        let calls = Arc::new(Mutex::new(0u32));
        let calls_for_closure = calls.clone();
        let result = run_with_retry_async(RetryPolicy::conservative(), move |attempt| {
            let calls_for_step = calls_for_closure.clone();
            async move {
                if let Ok(mut guard) = calls_for_step.lock() {
                    *guard = attempt;
                }
                if attempt < 3 {
                    Err(IntegrationError::new(
                        "bigquery",
                        IntegrationErrorKind::Transient,
                        "temporary failure",
                    ))
                } else {
                    Ok("ok")
                }
            }
        })
        .await
        .unwrap();
        assert_eq!(result, "ok");
        assert_eq!(*calls.lock().unwrap(), 3);
    }

    #[test]
    fn run_with_contract_returns_timeout_error() {
        let context = QueryContext::default().with_timeout_ms(5);
        let err = run_with_contract(
            "singlestore",
            "run_query",
            AdapterCallContract::default(),
            &context,
            |_| {
                std::thread::sleep(std::time::Duration::from_millis(15));
                Ok::<_, IntegrationError>("done")
            },
        )
        .unwrap_err();
        assert_eq!(err.kind, IntegrationErrorKind::Timeout);
        assert_eq!(err.code.as_deref(), Some("operation_timeout"));
    }

    #[test]
    fn axiom_bridge_enriches_events_with_trace_and_correlation() {
        let sink = Arc::new(InMemoryAxiomSink::default());
        let bridge = AxiomTelemetryBridge::new(sink.clone(), "runtime");
        let context = QueryContext {
            tenant_id: Some("tenant-a".to_string()),
            trace_id: Some("trace-123".to_string()),
            tags: std::collections::BTreeMap::new(),
        }
        .with_correlation_id("corr-9")
        .with_request_id("req-9");
        bridge
            .emit("session_event", json!({"event":"patch"}), &context)
            .unwrap();
        let events = sink.events();
        assert_eq!(events.len(), 1);
        let payload = events[0].payload.as_object().unwrap();
        assert_eq!(payload.get("trace_id"), Some(&json!("trace-123")));
        assert_eq!(payload.get("correlation_id"), Some(&json!("corr-9")));
        assert_eq!(payload.get("request_id"), Some(&json!("req-9")));
    }

    #[test]
    fn conformance_suite_passes_with_reference_adapters() {
        let singlestore = InMemorySingleStoreAdapter::new(vec![std::collections::BTreeMap::from(
            [("tenant".to_string(), Value::String("north".to_string()))],
        )]);
        let clickhouse =
            InMemoryClickHouseAdapter::new(vec![std::collections::BTreeMap::from([(
                "events".to_string(),
                Value::Number(99.into()),
            )])]);
        let bigquery = InMemoryBigQueryAdapter::new(vec![std::collections::BTreeMap::from([(
            "accounts".to_string(),
            Value::Number(33.into()),
        )])]);
        let opensearch = InMemoryOpenSearchAdapter::new(vec![crate::StoredRow {
            id: 1,
            data: std::collections::BTreeMap::from([(
                "title".to_string(),
                Value::String("Acme renewal".to_string()),
            )]),
        }]);
        let trigger = InMemoryJobOrchestrator::default();
        let analytics = InMemoryAxiomSink::default();
        let report = run_adapter_conformance_suite(
            &singlestore,
            &clickhouse,
            &bigquery,
            &opensearch,
            &trigger,
            &analytics,
            &QueryContext::default()
                .with_correlation_id("corr-1")
                .with_request_id("req-1"),
        );
        assert!(report.passed(), "report={report:?}");
        assert!(report.checks.len() >= 8);
    }

    #[test]
    fn adapter_error_paths_cover_invalid_inputs_and_failure_reporting() {
        let context = QueryContext::default();
        let empty_sql = SqlCommand::new("   ", Vec::new());
        let singlestore = InMemorySingleStoreAdapter::default();
        let clickhouse = InMemoryClickHouseAdapter::default();
        let bigquery = InMemoryBigQueryAdapter::default();
        let opensearch = InMemoryOpenSearchAdapter::default();

        for err in [
            singlestore
                .run_query(empty_sql.clone(), &context)
                .unwrap_err(),
            clickhouse
                .run_query(empty_sql.clone(), &context)
                .unwrap_err(),
            bigquery.run_query(empty_sql, &context).unwrap_err(),
        ] {
            assert_eq!(err.kind, IntegrationErrorKind::InvalidInput);
            assert_eq!(err.code.as_deref(), Some("empty_statement"));
        }

        let search_err = opensearch
            .search(SearchRequest::new("   ", "needle"), &context)
            .unwrap_err();
        assert_eq!(search_err.kind, IntegrationErrorKind::InvalidInput);
        assert_eq!(search_err.code.as_deref(), Some("empty_index"));
    }

    struct FailingSqlAdapter {
        source: &'static str,
    }

    impl TypedQueryBoundary for FailingSqlAdapter {
        type Request = SqlCommand;
        type Response = Vec<crate::Row>;

        fn execute(
            &self,
            _request: &Self::Request,
            _context: &QueryContext,
        ) -> super::IntegrationResult<Self::Response> {
            Err(IntegrationError::new(
                self.source,
                IntegrationErrorKind::Unavailable,
                "backend unavailable",
            )
            .with_code("backend_down"))
        }
    }

    impl SingleStoreAdapter for FailingSqlAdapter {}
    impl ClickHouseAdapter for FailingSqlAdapter {}
    impl BigQueryAdapter for FailingSqlAdapter {}

    struct FailingSearchAdapter;

    impl TypedQueryBoundary for FailingSearchAdapter {
        type Request = SearchRequest;
        type Response = SearchResponse;

        fn execute(
            &self,
            _request: &Self::Request,
            _context: &QueryContext,
        ) -> super::IntegrationResult<Self::Response> {
            Err(IntegrationError::new(
                "opensearch",
                IntegrationErrorKind::Unavailable,
                "search unavailable",
            ))
        }
    }

    impl OpenSearchAdapter for FailingSearchAdapter {}

    struct FailingTrigger;

    impl TriggerDevAdapter for FailingTrigger {
        fn trigger_workflow(&self, _request: JobRequest) -> super::IntegrationResult<JobHandle> {
            Err(IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "trigger unavailable",
            ))
        }

        fn workflow_status(&self, _id: &str) -> super::IntegrationResult<JobStatus> {
            Err(IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "trigger unavailable",
            ))
        }

        fn poll_workflow(
            &self,
            _id: &str,
            _attempts: u32,
            _backoff_ms: u64,
        ) -> super::IntegrationResult<JobStatus> {
            Err(IntegrationError::new(
                "trigger",
                IntegrationErrorKind::Unavailable,
                "trigger unavailable",
            ))
        }
    }

    #[derive(Default)]
    struct FailingAnalyticsSink;

    impl AnalyticsSink for FailingAnalyticsSink {
        fn send_event(&self, _event: AnalyticsEvent) -> super::IntegrationResult<()> {
            Err(IntegrationError::new(
                "analytics",
                IntegrationErrorKind::Unavailable,
                "sink unavailable",
            ))
        }
    }

    #[test]
    fn conformance_suite_captures_failures_for_unavailable_dependencies() {
        let failing_sql = FailingSqlAdapter { source: "sql" };
        let failing_search = FailingSearchAdapter;
        let failing_trigger = FailingTrigger;
        let failing_analytics = FailingAnalyticsSink;

        let report = run_adapter_conformance_suite(
            &failing_sql,
            &failing_sql,
            &failing_sql,
            &failing_search,
            &failing_trigger,
            &failing_analytics,
            &QueryContext::default(),
        );

        assert!(!report.passed());
        assert!(report
            .checks
            .iter()
            .any(|check| { check.name == "singlestore.query" && !check.passed }));
        assert!(report
            .checks
            .iter()
            .any(|check| { check.name == "opensearch.search" && !check.passed }));
        assert!(report
            .checks
            .iter()
            .any(|check| { check.name == "trigger.enqueue" && !check.passed }));
        assert!(report
            .checks
            .iter()
            .any(|check| { check.name == "analytics.emit" && !check.passed }));
        assert!(report
            .checks
            .iter()
            .any(|check| { check.name == "context.correlation" && !check.passed }));
    }
}