mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-11 19:59:50 +08:00
refactor ai serving modules and crates
This commit is contained in:
@@ -0,0 +1,196 @@
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use std::collections::BTreeMap;
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use std::sync::Arc;
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use serde_json::Value;
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use crate::ai_serving::planner::candidate_preparation::{
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prepare_header_authenticated_candidate, OauthPreparationContext,
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};
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use crate::ai_serving::planner::spec_metadata::local_openai_image_spec_metadata;
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use crate::ai_serving::transport::{
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build_openai_image_headers, build_openai_image_upstream_url,
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openai_image_transport_unsupported_reason, resolve_openai_image_auth,
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ProviderOpenAiImageHeadersInput,
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};
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use crate::ai_serving::{
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apply_codex_openai_responses_special_body_edits, apply_codex_openai_responses_special_headers,
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build_openai_image_provider_request_body, default_model_for_openai_image_operation,
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normalize_openai_image_request, CandidateFailureDiagnostic, GatewayProviderTransportSnapshot,
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PlannerAppState,
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};
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use crate::AppState;
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use super::support::{
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mark_skipped_local_openai_image_candidate,
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mark_skipped_local_openai_image_candidate_with_failure_diagnostic,
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LocalOpenAiImageCandidateAttempt, LocalOpenAiImageDecisionInput,
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};
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use super::LocalOpenAiImageSpec;
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pub(super) use crate::ai_serving::resolve_requested_openai_image_model_for_request as resolve_requested_image_model_for_request;
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pub(super) struct LocalOpenAiImageCandidatePayloadParts {
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pub(super) transport: Arc<GatewayProviderTransportSnapshot>,
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pub(super) auth_header: String,
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pub(super) auth_value: String,
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pub(super) requested_model: String,
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pub(super) mapped_model: String,
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pub(super) provider_request_headers: BTreeMap<String, String>,
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pub(super) provider_request_body: Value,
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pub(super) upstream_url: String,
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pub(super) input_summary: Value,
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}
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pub(super) async fn resolve_local_openai_image_candidate_payload_parts(
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state: &AppState,
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parts: &http::request::Parts,
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body_json: &Value,
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body_base64: Option<&str>,
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trace_id: &str,
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input: &LocalOpenAiImageDecisionInput,
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attempt: &LocalOpenAiImageCandidateAttempt,
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spec: LocalOpenAiImageSpec,
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) -> Option<LocalOpenAiImageCandidatePayloadParts> {
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let spec_metadata = local_openai_image_spec_metadata(spec);
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let candidate = &attempt.eligible.candidate;
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let transport = &attempt.eligible.transport;
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if let Some(skip_reason) =
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openai_image_transport_unsupported_reason(transport, spec_metadata.api_format)
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{
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mark_skipped_local_openai_image_candidate(
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state,
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input,
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trace_id,
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candidate,
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attempt.candidate_index,
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&attempt.candidate_id,
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skip_reason,
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)
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.await;
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return None;
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}
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let prepared_candidate = match prepare_header_authenticated_candidate(
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PlannerAppState::new(state),
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transport,
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candidate,
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resolve_openai_image_auth(transport),
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OauthPreparationContext {
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trace_id,
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api_format: spec_metadata.api_format,
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operation: "openai_image_candidate_request",
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},
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)
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.await
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{
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Ok(prepared) => prepared,
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Err(skip_reason) => {
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mark_skipped_local_openai_image_candidate(
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state,
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input,
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trace_id,
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candidate,
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attempt.candidate_index,
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&attempt.candidate_id,
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skip_reason,
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)
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.await;
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return None;
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}
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};
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let auth_header = prepared_candidate.auth_header;
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let auth_value = prepared_candidate.auth_value;
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let Some(normalized_request) = normalize_openai_image_request(parts, body_json, body_base64)
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else {
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mark_skipped_local_openai_image_candidate_with_failure_diagnostic(
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state,
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input,
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trace_id,
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candidate,
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attempt.candidate_index,
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&attempt.candidate_id,
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"provider_request_body_missing",
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CandidateFailureDiagnostic::provider_request_body_missing(
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spec_metadata.api_format,
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spec_metadata.api_format,
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"openai_image_request_normalize",
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),
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)
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.await;
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return None;
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};
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let upstream_url = build_openai_image_upstream_url(transport, parts.uri.query());
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let mut provider_request_body = build_openai_image_provider_request_body(&normalized_request);
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apply_codex_openai_responses_special_body_edits(
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&mut provider_request_body,
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transport.provider.provider_type.as_str(),
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spec_metadata.api_format,
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transport.endpoint.body_rules.as_ref(),
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Some(candidate.key_id.as_str()),
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);
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let Some(mut provider_request_headers) =
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build_openai_image_headers(ProviderOpenAiImageHeadersInput {
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headers: &parts.headers,
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auth_header: &auth_header,
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auth_value: &auth_value,
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header_rules: transport.endpoint.header_rules.as_ref(),
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provider_request_body: &provider_request_body,
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original_request_body: body_json,
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})
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else {
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mark_skipped_local_openai_image_candidate_with_failure_diagnostic(
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state,
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input,
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trace_id,
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candidate,
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attempt.candidate_index,
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&attempt.candidate_id,
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"transport_header_rules_apply_failed",
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CandidateFailureDiagnostic::header_rules_apply_failed(
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spec_metadata.api_format,
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spec_metadata.api_format,
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"openai_image_header_rules",
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),
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)
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.await;
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return None;
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};
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apply_codex_openai_responses_special_headers(
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&mut provider_request_headers,
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&provider_request_body,
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&parts.headers,
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transport.provider.provider_type.as_str(),
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spec_metadata.api_format,
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Some(trace_id),
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transport.key.decrypted_auth_config.as_deref(),
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);
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let requested_model = normalized_request
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.requested_model
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.clone()
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.unwrap_or_else(|| {
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default_model_for_openai_image_operation(normalized_request.operation).to_string()
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});
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let mapped_model = provider_request_body
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.get("model")
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.and_then(Value::as_str)
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.map(str::trim)
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.filter(|value| !value.is_empty())
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.unwrap_or_default()
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.to_string();
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Some(LocalOpenAiImageCandidatePayloadParts {
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transport: Arc::clone(transport),
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auth_header,
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auth_value,
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requested_model,
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mapped_model,
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provider_request_headers,
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provider_request_body,
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upstream_url,
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input_summary: normalized_request.summary_json,
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})
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}
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