gemini flash handler

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Brandon Thomas committed 2025-08-28 01:03:08 -04:00
1 parent 79f9514cd4
commit c386a02bc9
6 files changed
+337 -1

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@@ -0,0 +1,62 @@
use serde_derive::{Deserialize, Serialize};
use tokens::tokens::generic_inference_jobs::InferenceJobToken;
use tokens::tokens::media_files::MediaFileToken;
use utoipa::ToSchema;
pub const GEMINI_25_FLASH_EDIT_IMAGE_PATH: &str = "/v1/generate/image/edit/gemini_25_flash";
#[derive(Serialize, Deserialize, ToSchema)]
pub struct Gemini25FlashEditImageRequest {
/// Idempotency token to prevent duplicate requests.
pub uuid_idempotency_token: String,
/// Text prompt to generate the image from.
pub prompt: Option<String>,
// TODO: OneOf for image_urls or image_media_tokens
/// Image media tokens to include in the editing context.
pub image_media_tokens: Option<Vec<MediaFileToken>>,
/// Size of the image to generate. Default is Square.
pub image_size: Option<Gemini25FlashEditImageImageSize>,
/// Number of images to generate. Default is one.
pub num_images: Option<Gemini25FlashEditImageNumImages>,
/// Quality of the image to generate. Default is High.
pub image_quality: Option<Gemini25FlashEditImageImageQuality>,
}
#[derive(Copy, Clone, Debug, Serialize, Deserialize, ToSchema)]
#[serde(rename_all = "snake_case")]
pub enum Gemini25FlashEditImageImageSize {
Square, // 1:1, Default
Horizontal,
Vertical,
}
#[derive(Copy, Clone, Debug, Serialize, Deserialize, ToSchema)]
#[serde(rename_all = "snake_case")]
pub enum Gemini25FlashEditImageNumImages {
One, // Default
Two,
Three,
Four,
}
#[derive(Copy, Clone, Debug, Serialize, Deserialize, ToSchema)]
#[serde(rename_all = "snake_case")]
pub enum Gemini25FlashEditImageImageQuality {
Auto,
Low,
Medium,
High, // Default
}
#[derive(Serialize, Deserialize, ToSchema)]
pub struct Gemini25FlashEditImageResponse {
pub success: bool,
pub inference_job_token: InferenceJobToken,
}
@@ -1,3 +1,4 @@
pub mod flux_pro_kontext_max_edit_image;
pub mod gpt_image_1_edit_image;
pub mod gemini_25_flash_edit_image;
@@ -31,6 +31,8 @@ pub enum ModelType {
GptImage1,
#[serde(rename = "recraft_3")]
Recraft3,
#[serde(rename = "gemini_25_flash")]
Gemini25Flash,
/// Midjourney without distinguishing a model type or version
#[serde(rename = "midjourney")]
@@ -92,6 +94,7 @@ impl ModelType {
Self::FluxProKontextMax => "flux_pro_kontext_max",
Self::GptImage1 => "gpt_image_1",
Self::Recraft3 => "recraft_3",
Self::Gemini25Flash => "gemini_25_flash",
Self::Midjourney => "midjourney",
Self::MidjourneyV6 => "midjourney_v6",
Self::MidjourneyV6p1 => "midjourney_v6p1",
@@ -126,6 +129,7 @@ impl ModelType {
"flux_pro_kontext_max" => Ok(Self::FluxProKontextMax),
"gpt_image_1" => Ok(Self::GptImage1),
"recraft_3" => Ok(Self::Recraft3),
"gemini_25_flash" => Ok(Self::Gemini25Flash),
"midjourney" => Ok(Self::Midjourney),
"midjourney_v6" => Ok(Self::MidjourneyV6),
"midjourney_v6p1" => Ok(Self::MidjourneyV6p1),
@@ -164,6 +168,7 @@ impl ModelType {
Self::FluxProKontextMax,
Self::GptImage1,
Self::Recraft3,
Self::Gemini25Flash,
Self::Midjourney,
Self::MidjourneyV6,
Self::MidjourneyV6p1,
@@ -207,6 +212,7 @@ mod tests {
assert_serialization(ModelType::FluxProKontextMax, "flux_pro_kontext_max");
assert_serialization(ModelType::GptImage1, "gpt_image_1");
assert_serialization(ModelType::Recraft3, "recraft_3");
assert_serialization(ModelType::Gemini25Flash, "gemini_25_flash");
assert_serialization(ModelType::Midjourney, "midjourney");
assert_serialization(ModelType::MidjourneyV6, "midjourney_v6");
assert_serialization(ModelType::MidjourneyV6p1, "midjourney_v6p1");
@@ -238,6 +244,7 @@ mod tests {
assert_eq!(ModelType::FluxProKontextMax.to_str(), "flux_pro_kontext_max");
assert_eq!(ModelType::GptImage1.to_str(), "gpt_image_1");
assert_eq!(ModelType::Recraft3.to_str(), "recraft_3");
assert_eq!(ModelType::Gemini25Flash.to_str(), "gemini_25_flash");
assert_eq!(ModelType::Midjourney.to_str(), "midjourney");
assert_eq!(ModelType::MidjourneyV6.to_str(), "midjourney_v6");
assert_eq!(ModelType::MidjourneyV6p1.to_str(), "midjourney_v6p1");
@@ -271,6 +278,7 @@ mod tests {
assert_eq!(ModelType::from_str("flux_pro_kontext_max").unwrap(), ModelType::FluxProKontextMax);
assert_eq!(ModelType::from_str("gpt_image_1").unwrap(), ModelType::GptImage1);
assert_eq!(ModelType::from_str("recraft_3").unwrap(), ModelType::Recraft3);
assert_eq!(ModelType::from_str("gemini_25_flash").unwrap(), ModelType::Gemini25Flash);
assert_eq!(ModelType::from_str("midjourney").unwrap(), ModelType::Midjourney);
assert_eq!(ModelType::from_str("midjourney_v6").unwrap(), ModelType::MidjourneyV6);
assert_eq!(ModelType::from_str("midjourney_v6p1").unwrap(), ModelType::MidjourneyV6p1);
@@ -293,7 +301,7 @@ mod tests {
#[test]
fn all_variants() {
let mut variants = ModelType::all_variants();
assert_eq!(variants.len(), 24);
assert_eq!(variants.len(), 25);
// Image models
assert_eq!(variants.pop_first(), Some(ModelType::Flux1Dev));
assert_eq!(variants.pop_first(), Some(ModelType::Flux1Schnell));
@@ -304,6 +312,7 @@ mod tests {
assert_eq!(variants.pop_first(), Some(ModelType::FluxProKontextMax));
assert_eq!(variants.pop_first(), Some(ModelType::GptImage1));
assert_eq!(variants.pop_first(), Some(ModelType::Recraft3));
assert_eq!(variants.pop_first(), Some(ModelType::Gemini25Flash));
assert_eq!(variants.pop_first(), Some(ModelType::Midjourney));
assert_eq!(variants.pop_first(), Some(ModelType::MidjourneyV6));
assert_eq!(variants.pop_first(), Some(ModelType::MidjourneyV6p1));
@@ -0,0 +1,258 @@
use std::sync::Arc;
use crate::http_server::common_responses::common_web_error::CommonWebError;
use crate::http_server::common_responses::media::media_links_builder::MediaLinksBuilder;
use crate::http_server::endpoints::media_files::helpers::get_media_domain::get_media_domain;
use crate::http_server::validations::validate_idempotency_token_format::validate_idempotency_token_format;
use crate::state::server_state::ServerState;
use actix_web::web::Json;
use actix_web::{web, HttpRequest};
use artcraft_api_defs::generate::image::edit::gpt_image_1_edit_image::{GptImage1EditImageImageQuality, GptImage1EditImageImageSize, GptImage1EditImageNumImages, GptImage1EditImageRequest, GptImage1EditImageResponse};
use bucket_paths::legacy::typified_paths::public::media_files::bucket_file_path::MediaFileBucketPath;
use enums::by_table::prompt_context_items::prompt_context_semantic_type::PromptContextSemanticType;
use enums::by_table::prompts::prompt_type::PromptType;
use enums::common::generation_provider::GenerationProvider;
use enums::common::model_type::ModelType;
use enums::common::visibility::Visibility;
use fal_client::creds::open_ai_api_key::OpenAiApiKey;
use fal_client::requests::webhook::image::edit::enqueue_gemini_25_flash_edit_webhook::{enqueue_gemini_25_flash_edit_webhook, Gemini25FlashEditArgs, Gemini25FlashEditNumImages};
use fal_client::requests::webhook::image::edit::enqueue_gpt_image_1_edit_image_webhook::enqueue_gpt_image_1_edit_image_webhook;
use fal_client::requests::webhook::image::edit::enqueue_gpt_image_1_edit_image_webhook::GptEditImageNumImages;
use fal_client::requests::webhook::image::edit::enqueue_gpt_image_1_edit_image_webhook::{GptEditImageByokArgs, GptEditImageQuality, GptEditImageSize};
use http_server_common::request::get_request_ip::get_request_ip;
use log::{error, info, warn};
use mysql_queries::queries::generic_inference::fal::insert_generic_inference_job_for_fal_queue::insert_generic_inference_job_for_fal_queue;
use mysql_queries::queries::generic_inference::fal::insert_generic_inference_job_for_fal_queue::FalCategory;
use mysql_queries::queries::generic_inference::fal::insert_generic_inference_job_for_fal_queue::InsertGenericInferenceForFalArgs;
use mysql_queries::queries::idepotency_tokens::insert_idempotency_token::insert_idempotency_token;
use mysql_queries::queries::media_files::get::batch_get_media_files_by_tokens::{batch_get_media_files_by_tokens, batch_get_media_files_by_tokens_with_connection};
use mysql_queries::queries::prompt_context_items::insert_batch_prompt_context_items::{insert_batch_prompt_context_items, InsertBatchArgs, PromptContextItem};
use mysql_queries::queries::prompts::insert_prompt::{insert_prompt, InsertPromptArgs};
use sqlx::Acquire;
use utoipa::ToSchema;
/// Gemini 2.5 Flash Image Editing
#[utoipa::path(
post,
tag = "Generate Images (Edit)",
path = "/v1/generate/image/edit/gemini_25_flash",
responses(
(status = 200, description = "Success", body = GptImage1EditImageResponse),
),
params(
("request" = GptImage1EditImageRequest, description = "Payload for Request"),
)
)]
pub async fn gemini_25_flash_edit_image_handler(
http_request: HttpRequest,
request: Json<GptImage1EditImageRequest>,
server_state: web::Data<Arc<ServerState>>
) -> Result<Json<GptImage1EditImageResponse>, CommonWebError> {
let mut mysql_connection = server_state.mysql_pool
.acquire()
.await?;
let maybe_user_session = server_state
.session_checker
.maybe_get_user_session_from_connection(&http_request, &mut mysql_connection)
.await
.map_err(|e| {
warn!("Session checker error: {:?}", e);
CommonWebError::ServerError
})?;
let maybe_avt_token = server_state
.avt_cookie_manager
.get_avt_token_from_request(&http_request);
// TODO: Limit usage for new accounts. Billing, free credits metering, etc.
//let user_session = match maybe_user_session {
// Some(session) => session,
// None => {
// warn!("not logged in");
// return Err(CommonWebError::NotAuthorized);
// }
//};
if let Err(reason) = validate_idempotency_token_format(&request.uuid_idempotency_token) {
return Err(CommonWebError::BadInputWithSimpleMessage(reason));
}
const CAN_SEE_DELETED: bool = false;
let tokens = match request.image_media_tokens.as_ref() {
Some(tokens) => tokens,
None => {
warn!("No image media tokens provided");
return Err(CommonWebError::BadInputWithSimpleMessage("No image media tokens provided".to_string()));
}
};
let result = batch_get_media_files_by_tokens_with_connection(
&mut mysql_connection,
tokens,
CAN_SEE_DELETED,
).await;
let media_files = match result {
Ok(files) => files,
Err(err) => {
error!("Error getting media files by tokens: {:?}", err);
return Err(CommonWebError::ServerError);
}
};
if media_files.len() != tokens.len() {
warn!("Wrong number of media files returned for tokens: {} found for {} tokens", media_files.len(), tokens.len());
return Err(CommonWebError::BadInputWithSimpleMessage(
format!("Not all media files could be found. Media files found: {}, tokens provided: {}",
media_files.len(), tokens.len())));
}
let media_domain = get_media_domain(&http_request);
let image_urls = media_files.iter()
.map(|file| {
let public_bucket_path = MediaFileBucketPath::from_object_hash(
&file.public_bucket_directory_hash,
file.maybe_public_bucket_prefix.as_deref(),
file.maybe_public_bucket_extension.as_deref());
let media_links = MediaLinksBuilder::from_media_path_and_env(
media_domain,
server_state.server_environment,
&public_bucket_path);
media_links.cdn_url.to_string()
})
.collect::<Vec<_>>();
insert_idempotency_token(&request.uuid_idempotency_token, &mut *mysql_connection)
.await
.map_err(|err| {
error!("Error inserting idempotency token: {:?}", err);
CommonWebError::BadInputWithSimpleMessage("repeated idempotency token".to_string())
})?;
info!("Fal webhook URL: {}", server_state.fal.webhook_url);
let num_images = match request.num_images {
Some(GptImage1EditImageNumImages::One) => Gemini25FlashEditNumImages::One,
Some(GptImage1EditImageNumImages::Two) => Gemini25FlashEditNumImages::Two,
Some(GptImage1EditImageNumImages::Three) => Gemini25FlashEditNumImages::Three,
Some(GptImage1EditImageNumImages::Four) => Gemini25FlashEditNumImages::Four,
None => Gemini25FlashEditNumImages::One, // Default to One
};
let args = Gemini25FlashEditArgs {
image_urls,
prompt: request.prompt.as_deref().unwrap_or(""),
webhook_url: &server_state.fal.webhook_url,
api_key: &server_state.fal.api_key,
num_images,
};
let fal_result = enqueue_gemini_25_flash_edit_webhook(args)
.await
.map_err(|err| {
warn!("Error calling enqueue_gpt_image_1_edit_image_webhook: {:?}", err);
CommonWebError::ServerError
})?;
let external_job_id = fal_result.request_id
.ok_or_else(|| {
warn!("Fal request_id is None");
CommonWebError::ServerError
})?;
info!("Fal request_id: {}", external_job_id);
let ip_address = get_request_ip(&http_request);
let mut transaction = mysql_connection
.begin()
.await
.map_err(|err| {
error!("Error starting MySQL transaction: {:?}", err);
CommonWebError::ServerError
})?;
// NB: Don't fail the job if the query fails.
let prompt_result = insert_prompt(InsertPromptArgs {
maybe_apriori_prompt_token: None,
prompt_type: PromptType::ArtcraftApp,
maybe_creator_user_token: maybe_user_session
.as_ref()
.map(|s| &s.user_token),
maybe_model_type: Some(ModelType::Gemini25Flash),
maybe_generation_provider: Some(GenerationProvider::Artcraft),
maybe_positive_prompt: request.prompt.as_deref(),
maybe_negative_prompt: None,
maybe_other_args: None,
creator_ip_address: &ip_address,
mysql_executor: &mut *transaction,
phantom: Default::default(),
}).await;
let prompt_token = match prompt_result {
Ok(token) => Some(token),
Err(err) => {
warn!("Error inserting prompt: {:?}", err);
None // Don't fail the job if the prompt insertion fails.
}
};
if let Some(token) = prompt_token.as_ref() {
let result = insert_batch_prompt_context_items(InsertBatchArgs {
prompt_token: token.clone(),
items: media_files.iter().map(|media_file| {
PromptContextItem {
media_token: media_file.token.clone(),
context_semantic_type: PromptContextSemanticType::Imgref,
}
}).collect(),
transaction: &mut transaction,
}).await;
if let Err(err) = result {
// NB: Fail open.
warn!("Error inserting batch prompt context items: {:?}", err);
}
}
let db_result = insert_generic_inference_job_for_fal_queue(InsertGenericInferenceForFalArgs {
uuid_idempotency_token: &request.uuid_idempotency_token,
maybe_external_third_party_id: &external_job_id,
fal_category: FalCategory::ImageGeneration,
maybe_inference_args: None,
maybe_prompt_token: prompt_token.as_ref(),
maybe_creator_user_token: maybe_user_session.as_ref().map(|s| &s.user_token),
maybe_avt_token: maybe_avt_token.as_ref(),
creator_ip_address: &ip_address,
creator_set_visibility: Visibility::Public,
mysql_executor: &mut *transaction,
phantom: Default::default(),
}).await;
let job_token = match db_result {
Ok(token) => token,
Err(err) => {
warn!("Error inserting generic inference job for FAL queue: {:?}", err);
return Err(CommonWebError::ServerError);
}
};
let _r = transaction
.commit()
.await
.map_err(|err| {
error!("Error committing MySQL transaction: {:?}", err);
CommonWebError::ServerError
})?;
Ok(Json(GptImage1EditImageResponse {
success: true,
inference_job_token: job_token,
}))
}
@@ -1,2 +1,3 @@
pub mod flux_pro_kontext_max_edit_image_handler;
pub mod gemini_25_flash_edit_image_handler;
pub mod gpt_image_1_edit_image_handler;
@@ -18,6 +18,7 @@ use actix_http::body::MessageBody;
use actix_service::ServiceFactory;
use actix_web::dev::{ServiceRequest, ServiceResponse};
use actix_web::{web, App, Error, HttpResponse};
use crate::http_server::endpoints::generate::image::edit::gemini_25_flash_edit_image_handler::gemini_25_flash_edit_image_handler;
use crate::http_server::endpoints::generate::image::inpaint::flux_dev_juggernaut_inpaint_handler::flux_dev_juggernaut_inpaint_image_handler;
pub fn add_generate_routes<T, B> (app: App<T>) -> App<T>
@@ -38,6 +39,10 @@ where
.route(web::post().to(flux_pro_kontext_max_edit_image_handler))
.route(web::head().to(|| HttpResponse::Ok()))
)
.service(web::resource("/gemini_25_flash")
.route(web::post().to(gemini_25_flash_edit_image_handler))
.route(web::head().to(|| HttpResponse::Ok()))
)
.service(web::resource("/gpt_image_1")
.route(web::post().to(gpt_image_1_edit_image_handler))
.route(web::head().to(|| HttpResponse::Ok()))