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https://github.com/fawney19/Aether.git
synced 2026-09-02 17:30:23 +08:00
feat(image): 接入 ChatGPT Web 生图反代
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Entropy.Xu
@@ -523,3 +523,334 @@ async fn gateway_executes_codex_image_sync_via_local_decision_gate_after_oauth_r
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execution_runtime_handle.abort();
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refresh_handle.abort();
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}
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#[tokio::test]
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async fn gateway_plans_chatgpt_web_image_sync_with_internal_web_executor_url() {
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#[derive(Debug, Clone)]
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struct SeenExecutionRuntimeSyncRequest {
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trace_id: String,
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url: String,
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marker: String,
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authorization: String,
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operation: String,
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model: String,
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web_model: String,
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prompt: String,
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size: String,
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ratio: String,
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}
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fn hash_api_key(value: &str) -> String {
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let mut hasher = Sha256::new();
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hasher.update(value.as_bytes());
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format!("{:x}", hasher.finalize())
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}
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fn sample_auth_snapshot(api_key_id: &str, user_id: &str) -> StoredAuthApiKeySnapshot {
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StoredAuthApiKeySnapshot::new(
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user_id.to_string(),
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"alice".to_string(),
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Some("alice@example.com".to_string()),
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"user".to_string(),
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"local".to_string(),
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true,
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false,
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Some(serde_json::json!(["openai", "chatgpt_web"])),
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Some(serde_json::json!(["openai:image"])),
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Some(serde_json::json!(["gpt-image-2"])),
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api_key_id.to_string(),
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Some("default".to_string()),
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true,
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false,
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false,
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Some(60),
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Some(5),
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Some(4_102_444_800_i64),
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Some(serde_json::json!(["openai", "chatgpt_web"])),
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Some(serde_json::json!(["openai:image"])),
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Some(serde_json::json!(["gpt-image-2"])),
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)
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.expect("auth snapshot should build")
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}
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fn sample_candidate_row() -> StoredMinimalCandidateSelectionRow {
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StoredMinimalCandidateSelectionRow {
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provider_id: "provider-chatgpt-web-image-plan-1".to_string(),
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provider_name: "ChatGPT Web".to_string(),
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provider_type: "chatgpt_web".to_string(),
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provider_priority: 10,
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provider_is_active: true,
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endpoint_id: "endpoint-chatgpt-web-image-plan-1".to_string(),
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endpoint_api_format: "openai:image".to_string(),
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endpoint_api_family: Some("openai".to_string()),
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endpoint_kind: Some("image".to_string()),
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endpoint_is_active: true,
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key_id: "key-chatgpt-web-image-plan-1".to_string(),
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key_name: "manual bearer".to_string(),
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key_auth_type: "bearer".to_string(),
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key_is_active: true,
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key_api_formats: Some(vec!["openai:image".to_string()]),
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key_allowed_models: None,
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key_capabilities: None,
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key_internal_priority: 5,
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key_global_priority_by_format: Some(serde_json::json!({"openai:image": 1})),
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model_id: "model-chatgpt-web-image-plan-1".to_string(),
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global_model_id: "global-model-chatgpt-web-image-plan-1".to_string(),
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global_model_name: "gpt-image-2".to_string(),
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global_model_mappings: None,
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global_model_supports_streaming: Some(true),
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model_provider_model_name: "gpt-image-2".to_string(),
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model_provider_model_mappings: Some(vec![StoredProviderModelMapping {
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name: "gpt-image-2".to_string(),
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priority: 1,
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api_formats: Some(vec!["openai:image".to_string()]),
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}]),
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model_supports_streaming: Some(true),
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model_is_active: true,
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model_is_available: true,
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}
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}
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fn sample_provider_catalog_provider() -> StoredProviderCatalogProvider {
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StoredProviderCatalogProvider::new(
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"provider-chatgpt-web-image-plan-1".to_string(),
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"ChatGPT Web".to_string(),
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Some("https://chatgpt.com".to_string()),
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"chatgpt_web".to_string(),
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)
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.expect("provider should build")
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.with_transport_fields(
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true,
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false,
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false,
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None,
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Some(2),
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None,
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Some(20.0),
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None,
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None,
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)
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}
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fn sample_provider_catalog_endpoint() -> StoredProviderCatalogEndpoint {
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StoredProviderCatalogEndpoint::new(
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"endpoint-chatgpt-web-image-plan-1".to_string(),
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"provider-chatgpt-web-image-plan-1".to_string(),
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"openai:image".to_string(),
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Some("openai".to_string()),
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Some("image".to_string()),
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true,
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)
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.expect("endpoint should build")
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.with_transport_fields(
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"https://chatgpt.com".to_string(),
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None,
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None,
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Some(2),
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None,
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None,
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None,
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None,
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)
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.expect("endpoint transport should build")
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}
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fn sample_provider_catalog_key() -> StoredProviderCatalogKey {
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StoredProviderCatalogKey::new(
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"key-chatgpt-web-image-plan-1".to_string(),
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"provider-chatgpt-web-image-plan-1".to_string(),
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"manual bearer".to_string(),
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"bearer".to_string(),
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None,
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true,
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)
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.expect("key should build")
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.with_transport_fields(
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Some(serde_json::json!(["openai:image"])),
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encrypt_python_fernet_plaintext(DEVELOPMENT_ENCRYPTION_KEY, "chatgpt-web-access-token")
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.expect("access token should encrypt"),
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None,
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None,
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Some(serde_json::json!({"openai:image": 1})),
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None,
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None,
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None,
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None,
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)
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.expect("key transport should build")
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}
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let seen_execution_runtime = Arc::new(Mutex::new(None::<SeenExecutionRuntimeSyncRequest>));
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let seen_execution_runtime_clone = Arc::clone(&seen_execution_runtime);
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let execution_runtime = Router::new().route(
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"/v1/execute/sync",
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any(move |request: Request| {
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let seen_execution_runtime_inner = Arc::clone(&seen_execution_runtime_clone);
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async move {
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let (parts, body) = request.into_parts();
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let raw_body = to_bytes(body, usize::MAX).await.expect("body should read");
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let payload: serde_json::Value = serde_json::from_slice(&raw_body)
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.expect("execution runtime payload should parse");
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let body = payload
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.get("body")
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.and_then(|value| value.get("json_body"))
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.cloned()
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.unwrap_or_else(|| json!({}));
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*seen_execution_runtime_inner
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.lock()
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.expect("mutex should lock") = Some(SeenExecutionRuntimeSyncRequest {
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trace_id: parts
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.headers
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.get(TRACE_ID_HEADER)
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.and_then(|value| value.to_str().ok())
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.unwrap_or_default()
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.to_string(),
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url: payload
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.get("url")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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marker: payload
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.get("headers")
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.and_then(|value| value.get("x-aether-chatgpt-web-image"))
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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authorization: payload
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.get("headers")
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.and_then(|value| value.get("authorization"))
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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operation: body
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.get("operation")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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model: body
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.get("model")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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web_model: body
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.get("web_model")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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prompt: body
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.get("prompt")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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size: body
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.get("size")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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ratio: body
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.get("ratio")
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.and_then(|value| value.as_str())
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.unwrap_or_default()
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.to_string(),
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});
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Json(json!({
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"request_id": "trace-chatgpt-web-image-plan-123",
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"status_code": 200,
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"headers": {
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"content-type": "text/event-stream"
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},
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"body": {
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"body_bytes_b64": base64::engine::general_purpose::STANDARD.encode(
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concat!(
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"data: {\"type\":\"response.output_item.done\",\"output_index\":0,\"item\":{\"id\":\"ig_chatgpt_web_123\",\"type\":\"image_generation_call\",\"output_format\":\"png\",\"result\":\"aGVsbG8=\"}}\n\n",
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"data: {\"type\":\"response.completed\",\"response\":{\"id\":\"resp_chatgpt_web_123\",\"object\":\"response\",\"model\":\"gpt-image-2\",\"status\":\"completed\",\"output\":[]}}\n\n",
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"data: [DONE]\n\n"
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)
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)
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},
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"telemetry": {
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"elapsed_ms": 41
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}
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}))
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}
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}),
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);
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let client_api_key = "sk-client-chatgpt-web-image-plan";
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let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
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Some(hash_api_key(client_api_key)),
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sample_auth_snapshot(
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"key-chatgpt-web-image-client-123",
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"user-chatgpt-web-image-client-123",
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),
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)]));
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let candidate_selection_repository =
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Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
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sample_candidate_row(),
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]));
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let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
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vec![sample_provider_catalog_provider()],
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vec![sample_provider_catalog_endpoint()],
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vec![sample_provider_catalog_key()],
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));
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let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
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let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
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.with_data_state_for_tests(
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crate::data::GatewayDataState::with_auth_candidate_selection_provider_catalog_and_request_candidate_repository_for_tests(
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auth_repository,
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candidate_selection_repository,
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provider_catalog_repository,
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Arc::new(InMemoryRequestCandidateRepository::default()),
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DEVELOPMENT_ENCRYPTION_KEY,
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),
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);
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let gateway = build_router_with_state(gateway_state);
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let (gateway_url, gateway_handle) = start_server(gateway).await;
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let response = reqwest::Client::new()
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.post(format!("{gateway_url}/v1/images/generations"))
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.header(http::header::CONTENT_TYPE, "application/json")
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.header(
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http::header::AUTHORIZATION,
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format!("Bearer {client_api_key}"),
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)
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.header(TRACE_ID_HEADER, "trace-chatgpt-web-image-plan-123")
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.body("{\"model\":\"gpt-image-2\",\"prompt\":\"生成一张测试图\",\"size\":\"1024x1024\",\"response_format\":\"b64_json\"}")
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.send()
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.await
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.expect("request should succeed");
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assert_eq!(response.status(), StatusCode::OK);
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let response_json: serde_json::Value = response.json().await.expect("body should parse");
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assert_eq!(response_json["data"][0]["b64_json"], "aGVsbG8=");
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let seen_execution_runtime_request = seen_execution_runtime
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.lock()
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.expect("mutex should lock")
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.clone()
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.expect("execution runtime sync should be captured");
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assert_eq!(
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seen_execution_runtime_request.trace_id,
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"trace-chatgpt-web-image-plan-123"
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);
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assert_eq!(
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seen_execution_runtime_request.url,
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"https://chatgpt.com/__aether/chatgpt-web-image"
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);
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assert!(!seen_execution_runtime_request.url.contains("/v1/responses"));
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assert_eq!(seen_execution_runtime_request.marker, "1");
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assert_eq!(
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seen_execution_runtime_request.authorization,
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"Bearer chatgpt-web-access-token"
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);
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assert_eq!(seen_execution_runtime_request.operation, "generate");
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assert_eq!(seen_execution_runtime_request.model, "gpt-image-2");
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assert_eq!(seen_execution_runtime_request.web_model, "gpt-5-5-thinking");
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assert_eq!(seen_execution_runtime_request.prompt, "生成一张测试图");
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assert_eq!(seen_execution_runtime_request.size, "1024x1024");
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assert_eq!(seen_execution_runtime_request.ratio, "1:1");
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gateway_handle.abort();
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execution_runtime_handle.abort();
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}
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