use crate::ai_serving::{is_json_request, GatewayControlDecision};

pub(crate) use crate::ai_serving::{
    build_gemini_stream_plan_from_decision, build_gemini_sync_plan_from_decision,
    build_local_gemini_files_stream_attempt_source_for_kind,
    build_local_gemini_files_stream_plan_and_reports_for_kind,
    build_local_gemini_files_sync_attempt_source_for_kind,
    build_local_gemini_files_sync_plan_and_reports_for_kind,
    build_local_image_stream_attempt_source_for_kind,
    build_local_image_stream_plan_and_reports_for_kind,
    build_local_image_sync_attempt_source_for_kind,
    build_local_image_sync_plan_and_reports_for_kind,
    build_local_openai_chat_stream_attempt_source_for_kind,
    build_local_openai_chat_stream_plan_and_reports_for_kind,
    build_local_openai_chat_sync_attempt_source_for_kind,
    build_local_openai_chat_sync_plan_and_reports_for_kind,
    build_local_openai_responses_stream_attempt_source_for_kind,
    build_local_openai_responses_stream_plan_and_reports_for_kind,
    build_local_openai_responses_sync_attempt_source_for_kind,
    build_local_openai_responses_sync_plan_and_reports_for_kind,
    build_local_same_format_stream_attempt_source, build_local_same_format_stream_plan_and_reports,
    build_local_same_format_sync_attempt_source, build_local_same_format_sync_plan_and_reports,
    build_local_video_sync_attempt_source_for_kind,
    build_local_video_sync_plan_and_reports_for_kind,
    build_openai_responses_stream_plan_from_decision,
    build_openai_responses_sync_plan_from_decision, build_passthrough_sync_plan_from_decision,
    build_standard_family_stream_attempt_source, build_standard_family_stream_plan_and_reports,
    build_standard_family_sync_attempt_source, build_standard_family_sync_plan_and_reports,
    build_standard_stream_plan_from_decision, build_standard_sync_plan_from_decision,
    maybe_build_stream_decision_payload, maybe_build_stream_plan_payload,
    maybe_build_sync_decision_payload, maybe_build_sync_plan_payload,
    set_local_openai_chat_execution_exhausted_diagnostic,
    set_local_openai_image_execution_exhausted_diagnostic,
};
pub(crate) use crate::ai_serving::{
    maybe_bridge_standard_sync_json_to_stream, maybe_build_provider_private_stream_normalizer,
    maybe_build_stream_response_rewriter, maybe_build_sync_finalize_outcome,
    maybe_compile_sync_finalize_response, LocalCoreSyncFinalizeOutcome,
};
pub(crate) use crate::ai_serving::{
    AiExecutionDecision, AiExecutionPlanPayload, AiStreamAttempt, AiSyncAttempt,
};
pub(crate) use aether_ai_formats::api::{
    build_core_error_body_for_client_format, convert_standard_chat_response,
    core_error_background_report_kind, core_error_default_client_api_format,
    core_success_background_report_kind, encode_kiro_sse_events,
    extract_provider_private_stream_error_body, implicit_sync_finalize_report_kind,
    is_core_error_finalize_kind, normalize_provider_private_report_context,
    normalize_provider_private_response_value, provider_private_response_allows_sync_finalize,
    resolve_claude_stream_spec, resolve_claude_sync_spec, resolve_gemini_stream_spec,
    resolve_gemini_sync_spec, resolve_local_image_stream_spec, resolve_local_image_sync_spec,
    resolve_local_same_format_stream_spec, resolve_local_same_format_sync_spec,
    resolve_openai_embedding_sync_spec, sanitize_request_path_and_query, AiControlPlanRequest,
    CanonicalContentPart, CanonicalStreamEvent, CanonicalStreamFrame, ClaudeClientEmitter,
    ExecutionRuntimeAuthContext, LocalCoreSyncErrorKind, LocalOpenAiImageSpec,
    LocalSameFormatProviderFamily, LocalSameFormatProviderSpec, LocalStandardSourceFamily,
    LocalStandardSourceMode, LocalStandardSpec, OpenAIChatClientEmitter,
    OpenAIResponsesClientEmitter, StreamingStandardTerminalObserver,
    EXECUTION_RUNTIME_STREAM_DECISION_ACTION, EXECUTION_RUNTIME_SYNC_DECISION_ACTION,
    GEMINI_EMBEDDING_SYNC_PLAN_KIND, GEMINI_FILES_DOWNLOAD_PLAN_KIND,
    GEMINI_VIDEO_CANCEL_SYNC_PLAN_KIND, OPENAI_EMBEDDING_SYNC_PLAN_KIND,
    OPENAI_IMAGE_STREAM_PLAN_KIND, OPENAI_IMAGE_SYNC_FINALIZE_REPORT_KIND,
    OPENAI_IMAGE_SYNC_PLAN_KIND, OPENAI_RERANK_SYNC_PLAN_KIND, OPENAI_VIDEO_CANCEL_SYNC_PLAN_KIND,
    OPENAI_VIDEO_CONTENT_PLAN_KIND, OPENAI_VIDEO_DELETE_SYNC_PLAN_KIND,
    OPENAI_VIDEO_REMIX_SYNC_PLAN_KIND,
};
pub(crate) use aether_ai_formats::protocol::stream::CanonicalUsage as StreamingCanonicalUsage;

pub(crate) fn parse_direct_request_body(
    parts: &http::request::Parts,
    body_bytes: &axum::body::Bytes,
) -> Option<(serde_json::Value, Option<String>)> {
    let is_json_request = is_json_request(&parts.headers);
    let body_bytes = if is_json_request {
        crate::ai_serving::decoded_request_body_bytes(&parts.headers, body_bytes.as_ref()).ok()?
    } else {
        std::borrow::Cow::Borrowed(body_bytes.as_ref())
    };
    aether_ai_formats::api::parse_direct_request_body(is_json_request, body_bytes.as_ref())
}

pub(crate) fn resolve_execution_runtime_stream_plan_kind(
    parts: &http::request::Parts,
    decision: &GatewayControlDecision,
) -> Option<&'static str> {
    aether_ai_formats::api::resolve_execution_runtime_stream_plan_kind(
        decision.route_class.as_deref(),
        decision.route_family.as_deref(),
        decision.route_kind.as_deref(),
        decision.request_auth_channel.as_deref(),
        &parts.method,
        parts.uri.path(),
    )
}

pub(crate) fn resolve_execution_runtime_sync_plan_kind(
    parts: &http::request::Parts,
    decision: &GatewayControlDecision,
) -> Option<&'static str> {
    aether_ai_formats::api::resolve_execution_runtime_sync_plan_kind(
        decision.route_class.as_deref(),
        decision.route_family.as_deref(),
        decision.route_kind.as_deref(),
        decision.request_auth_channel.as_deref(),
        &parts.method,
        parts.uri.path(),
    )
}

pub(crate) fn is_matching_stream_request(
    plan_kind: &str,
    parts: &http::request::Parts,
    body_json: &serde_json::Value,
    body_base64: Option<&str>,
) -> bool {
    crate::ai_serving::planner_is_matching_stream_request(plan_kind, parts, body_json, body_base64)
}

pub(crate) fn supports_sync_execution_decision_kind(plan_kind: &str) -> bool {
    aether_ai_formats::api::supports_sync_execution_decision_kind(plan_kind)
}

pub(crate) fn supports_stream_execution_decision_kind(plan_kind: &str) -> bool {
    aether_ai_formats::api::supports_stream_execution_decision_kind(plan_kind)
}

pub(crate) fn aggregate_openai_chat_stream_sync_response(body: &[u8]) -> Option<serde_json::Value> {
    aether_ai_formats::api::aggregate_openai_chat_stream_sync_response(body)
}

pub(crate) fn aggregate_openai_responses_stream_sync_response(
    body: &[u8],
) -> Option<serde_json::Value> {
    aether_ai_formats::api::aggregate_openai_responses_stream_sync_response(body)
}

pub(crate) fn aggregate_claude_stream_sync_response(body: &[u8]) -> Option<serde_json::Value> {
    aether_ai_formats::api::aggregate_claude_stream_sync_response(body)
}

pub(crate) fn aggregate_gemini_stream_sync_response(body: &[u8]) -> Option<serde_json::Value> {
    aether_ai_formats::api::aggregate_gemini_stream_sync_response(body)
}

pub(crate) fn gemini_generate_content_response_has_visible_output(
    body: &serde_json::Value,
) -> bool {
    if aether_ai_formats::formats::gemini::generate_content::response::from_raw(body).is_some() {
        return true;
    }

    openai_chat_response_has_visible_output(body) || openai_responses_body_has_visible_output(body)
}

fn openai_chat_response_has_visible_output(body: &serde_json::Value) -> bool {
    body.get("choices")
        .and_then(serde_json::Value::as_array)
        .is_some_and(|choices| {
            choices.iter().any(|choice| {
                choice
                    .get("message")
                    .or_else(|| choice.get("delta"))
                    .is_some_and(message_like_value_has_visible_output)
                    || value_has_non_empty_text(choice.get("text"))
                    || choice
                        .get("finish_reason")
                        .and_then(serde_json::Value::as_str)
                        .is_some_and(|value| !value.trim().is_empty() && value != "length")
            })
        })
}

fn openai_responses_body_has_visible_output(body: &serde_json::Value) -> bool {
    body.get("output")
        .and_then(serde_json::Value::as_array)
        .is_some_and(|items| {
            items.iter().any(|item| {
                item.get("type")
                    .and_then(serde_json::Value::as_str)
                    .is_some_and(|kind| matches!(kind, "function_call" | "image_generation_call"))
                    || item
                        .get("content")
                        .and_then(serde_json::Value::as_array)
                        .is_some_and(|content| {
                            content.iter().any(response_content_has_visible_output)
                        })
            })
        })
}

fn message_like_value_has_visible_output(value: &serde_json::Value) -> bool {
    value_has_non_empty_text(value.get("content"))
        || value
            .get("tool_calls")
            .and_then(serde_json::Value::as_array)
            .is_some_and(|items| !items.is_empty())
}

fn response_content_has_visible_output(value: &serde_json::Value) -> bool {
    value_has_non_empty_text(value.get("text"))
        || value
            .get("type")
            .and_then(serde_json::Value::as_str)
            .is_some_and(|kind| matches!(kind, "function_call" | "output_image"))
}

fn value_has_non_empty_text(value: Option<&serde_json::Value>) -> bool {
    match value {
        Some(serde_json::Value::String(text)) => !text.trim().is_empty(),
        Some(serde_json::Value::Array(items)) => items.iter().any(|item| {
            value_has_non_empty_text(item.get("text"))
                || value_has_non_empty_text(item.get("content"))
                || item
                    .get("type")
                    .and_then(serde_json::Value::as_str)
                    .is_some_and(|kind| matches!(kind, "image_url" | "input_image"))
        }),
        _ => false,
    }
}

#[cfg(test)]
mod tests {
    use super::parse_direct_request_body;
    use axum::body::Bytes;
    use axum::http::{header, Request};

    #[test]
    fn parse_direct_request_body_reads_zstd_encoded_json_body() {
        let (parts, _) = Request::builder()
            .method("POST")
            .uri("/v1/responses")
            .header(header::CONTENT_TYPE, "application/json")
            .header(header::CONTENT_ENCODING, "zstd")
            .body(())
            .expect("request should build")
            .into_parts();
        let encoded =
            zstd::stream::encode_all(br#"{"model":"gpt-5.4","stream":true}"#.as_slice(), 0)
                .expect("zstd body should encode");

        let (body_json, body_base64) =
            parse_direct_request_body(&parts, &Bytes::from(encoded)).expect("body should parse");

        assert_eq!(body_json["model"].as_str(), Some("gpt-5.4"));
        assert_eq!(body_json["stream"].as_bool(), Some(true));
        assert!(body_base64.is_none());
    }
}