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1 Commits
Author SHA1 Message Date
Michael Chung d4409f064e polling jobs implemented!
End to End Polling job done without using sessions.
2025-04-13 23:33:55 -04:00
7 changed files with 124 additions and 105 deletions
+36 -19
View File
@@ -148,7 +148,6 @@ export class ApiManager {
formData.append("file", blob);
}
// console.log(`HELLO${formData}`);
return this.fetchMultipartFormData<T>(endpoint, {
method: "POST",
headers: {
@@ -327,7 +326,10 @@ export class Api extends ApiManager {
return result;
}
public async pollJobSession(jobToken: string): Promise<
public async pollJobSession(
jobToken: string,
thumbnailWidth: number = 256,
): Promise<
ApiResponse<{
job_token: string;
request: {
@@ -338,6 +340,9 @@ export class Api extends ApiManager {
progress_percentage: number;
};
result: {
image_url: string;
thumbnail_url: string;
public_bucket_path: string;
generated_images?: string[];
error?: string;
};
@@ -345,41 +350,53 @@ export class Api extends ApiManager {
> {
const endpoint = `${this.ApiTargets.BaseApi}/v1/jobs/job/${jobToken}`;
const response = await this.get<{
success?: boolean;
status?: string;
result?: {
generated_images?: string[];
error?: string;
};
BadInput?: string;
}>({
const response = await this.get<any>({
endpoint,
});
console.log("Job Polling Response:");
console.log(response);
let image_url = response.state.maybe_result?.media_links?.cdn_url;
let public_bucket_path =
response.state.maybe_result?.maybe_public_bucket_media_path;
let thumbnail_url =
response.state.maybe_result?.media_links?.maybe_thumbnail_template?.replace(
"{WIDTH}",
thumbnailWidth.toString(),
);
let progress_percentage = response.state.status.progress_percentage;
let status_string = response.state.status.status;
console.log("Image URL:", image_url);
console.log("Thumbnail URL:", thumbnail_url);
console.log("Progress Percentage:", progress_percentage);
console.log("Status", status_string);
console.log("response FROM JOBS");
console.log(response);
const success = response.success ?? false;
const status = response.status ?? "";
const result = response.result ?? {
generated_images: [],
error: undefined,
};
const errorMessage = response.BadInput;
return {
success,
data: {
result,
result: {
image_url: image_url || "",
thumbnail_url: thumbnail_url || "",
public_bucket_path: public_bucket_path || "",
error: undefined,
},
job_token: jobToken,
request: {
maybe_model_title: "Image Generation",
},
status: {
status: status.toLowerCase(),
progress_percentage: 0,
status: status_string.toLowerCase(),
progress_percentage: progress_percentage,
},
},
errorMessage,
@@ -1,8 +1,10 @@
import React, { createContext, useContext, useState } from "react";
interface JobContextType {
jobToken: string | null;
setJobToken: (token: string | null) => void;
jobTokens: string[];
addJobToken: (token: string) => void;
removeJobToken: (token: string) => void;
clearJobTokens: () => void;
}
const JobContext = createContext<JobContextType | undefined>(undefined);
@@ -10,10 +12,24 @@ const JobContext = createContext<JobContextType | undefined>(undefined);
export const JobProvider: React.FC<{ children: React.ReactNode }> = ({
children,
}) => {
const [jobToken, setJobToken] = useState<string | null>(null);
const [jobTokens, setJobTokens] = useState<string[]>([]);
const addJobToken = (token: string) => {
setJobTokens((prevTokens) => [...prevTokens, token]);
};
const removeJobToken = (token: string) => {
setJobTokens((prevTokens) => prevTokens.filter((t) => t !== token));
};
const clearJobTokens = () => {
setJobTokens([]);
};
return (
<JobContext.Provider value={{ jobToken, setJobToken }}>
<JobContext.Provider
value={{ jobTokens, addJobToken, removeJobToken, clearJobTokens }}
>
{children}
</JobContext.Provider>
);
@@ -47,7 +47,8 @@ export const PromptBox = () => {
const isDesktopApp = window.navigator.userAgent.includes("Tauri");
console.log("Is this a desktop app?", isDesktopApp);
const { jobToken, setJobToken } = useJobContext();
const { jobTokens, addJobToken, removeJobToken, clearJobTokens } =
useJobContext();
//const { lastRenderedBitmap } = useCanvasSignal();
const [prompt, setPrompt] = useState("");
@@ -119,7 +120,7 @@ export const PromptBox = () => {
setUploadingImages((prev) =>
prev.filter((img) => img.id !== uploadId),
);
console.log("Reference image added:", referenceImage);
toast.success("Reference image added.");
} else if (
newState.status === UploaderStates.assetError ||
newState.status === UploaderStates.imageCreateError
@@ -127,7 +128,8 @@ export const PromptBox = () => {
setUploadingImages((prev) =>
prev.filter((img) => img.id !== uploadId),
);
console.error("Upload failed");
toast.error("Upload failed. Please try again.");
}
},
});
@@ -206,7 +208,7 @@ export const PromptBox = () => {
const api = new Api();
let image = getCanvasRenderBitmap();
if (image === undefined) {
console.error(
toast.error(
"Error: Unable to generate image. Please check the input and try again.",
);
return;
@@ -229,7 +231,9 @@ export const PromptBox = () => {
});
if (snapshotMediaToken.data === undefined) {
console.error("Error: Unable to upload scene snapshot.");
toast.error(
"Error: Unable to upload scene snapshot Please try again.",
);
return;
}
@@ -242,17 +246,13 @@ export const PromptBox = () => {
});
if (response.success === true) {
console.error("Successfully enqueued image generation.");
toast.success("Please wait while we process your image.");
if (response.data) {
console.log("Response:", response.data);
setJobToken(response.data);
addJobToken(response.data);
}
return;
} else {
console.log("Image generation Not Successful.");
toast.error("Failed to generate image. Please try again.");
toast.error("Failed to enqueue image generation. Please try again.");
}
}
} catch (error) {
@@ -63,12 +63,11 @@ export const ToolbarMain = ({
buttonProps={buttonProps.SELECT}
tooltip="Select"
/>
{/* <ToolbarButton
<ToolbarButton
icon={faText}
buttonProps={buttonProps.ADD_TEXT}
tooltip="Add Text"
/> */}
/>
<Popover className="relative">
{({ close }) => (
<>
@@ -1,4 +1,5 @@
import { twMerge } from "tailwind-merge";
import { Login } from "~/app/pages/login";
import { Activity } from "~/components/ui/Activity/Activity";
// import { paperWrapperStyles } from "~/components/styles";
// import { faPlus, faQuestion } from "@fortawesome/pro-solid-svg-icons";
@@ -6,6 +6,8 @@ import { CompletedCard } from "./CompletedCard";
import { InProgressCard } from "./InProgressCard";
import { useJobContext } from "~/components/JobContext";
import { Api } from "~/KonvaApp/Api";
import { toast } from "sonner";
// Dummy data types
interface CompletedItem {
token: string;
@@ -65,90 +67,72 @@ const dummyCompletedItems: CompletedItem[] = [
// ];
export function Activity() {
const { jobToken, setJobToken } = useJobContext();
const { jobTokens, addJobToken, removeJobToken, clearJobTokens } =
useJobContext();
const [completedItems, setCompletedItems] = useState<CompletedItem[]>([]);
const [jobs, setJobs] = useState<ActiveJob[]>([]);
const [loading, setLoading] = useState(true);
// Dummy polling function
useEffect(() => {
const pollData = async () => {
if (jobToken) {
console.log("Current Job Token:", jobToken);
if (jobTokens.length > 0) {
console.log("Current Job Tokens:", jobTokens);
const api = new Api();
const job = await api.pollJobSession(jobToken);
console.log("Job response:", job);
if (job.success && job.data) {
const { status, progress_percentage } = job.data.status;
const { job_token } = job.data;
// Create a map to store the latest job data
const updatedJobs = new Map<string, ActiveJob>();
console.log("Job status:", status);
console.log("Progress percentage:", progress_percentage);
console.log("Job token:", job_token);
for (const jobToken of jobTokens) {
const job = await api.pollJobSession(jobToken);
// Update jobs with real job data
if (
status.toLowerCase() === "completed" ||
status.toLowerCase() === "failed"
) {
// If job is completed or failed, remove it from active jobs
setJobs((prevJobs) =>
prevJobs.filter((j) => j.job_token !== job_token),
);
if (job.success && job.data) {
const { status, progress_percentage } = job.data.status;
const { job_token } = job.data;
// Add to completed items if it was successful
if (
status.toLowerCase() === "completed" &&
job.data.result.generated_images
status.toLowerCase() === "complete_success" ||
status.toLowerCase() === "failed"
) {
const newCompletedItem: CompletedItem = {
id: job_token,
title: job.data.request.maybe_model_title || "Image Generation",
timestamp: new Date().toISOString(),
type: "image",
imageUrl: job.data.result.generated_images[0] || "",
};
// If job is complete_success or failed, we'll remove it later
removeJobToken(job_token);
setCompletedItems((prev) => [newCompletedItem, ...prev]);
// Add to complete_success items if it was successful
if (status.toLowerCase() === "complete_success") {
const newCompletedItem: CompletedItem = {
token: job_token,
maybe_title:
job.data.request.maybe_model_title || "Image Generation",
public_bucket_path: job.data.result.image_url || "",
updated_at: new Date().toISOString(),
};
setCompletedItems((prev) => [newCompletedItem, ...prev]);
toast.success("Done Processing Image");
}
} else {
// Store the job in our map
const updatedJob: ActiveJob = {
job_token,
request: {
maybe_model_title:
job.data.request.maybe_model_title || "Image Generation",
},
status: {
status: status.toUpperCase(),
progress_percentage: progress_percentage || 0,
},
};
updatedJobs.set(job_token, updatedJob);
}
} else {
// Update or add the job to the active jobs list
const updatedJob: ActiveJob = {
job_token,
request: {
maybe_model_title:
job.data.request.maybe_model_title || "Image Generation",
},
status: {
status: status.toUpperCase(),
progress_percentage: progress_percentage || 0,
},
};
setJobs((prevJobs) => {
const existingJobIndex = prevJobs.findIndex(
(j) => j.job_token === job_token,
);
if (existingJobIndex >= 0) {
// Update existing job
const newJobs = [...prevJobs];
newJobs[existingJobIndex] = updatedJob;
return newJobs;
} else {
// Add new job
return [updatedJob, ...prevJobs];
}
});
console.error("Failed to fetch job status:", job.errorMessage);
}
} else {
console.error("Failed to fetch job status:", job.errorMessage);
}
} else {
console.log("No Job Token available.");
}
if (jobs.length === 0) {
// Update jobs state with the deduplicated jobs
setJobs(Array.from(updatedJobs.values()));
}
if (jobTokens.length === 0) {
setJobs([]);
setLoading(false);
}
};
@@ -163,7 +147,7 @@ export function Activity() {
}, 5000);
return () => clearInterval(interval);
}, [jobToken]);
}, [jobTokens, removeJobToken]);
return (
<PopoverMenu
@@ -17,8 +17,10 @@ interface Props {
export function CompletedCard({ job }: Props) {
const [loadError, setLoadError] = useState(false);
const [isModalOpen, setIsModalOpen] = useState(false);
const imageUrl = job.public_bucket_path + "-thumb.gif";
const imageUrl = job.public_bucket_path;
const fullImageUrl = job.public_bucket_path;
console.log("I am hjere");
console.log(job);
return (
<>