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Add logs for processing

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This commit is contained in:
Joel Mathew Thomas
2025-03-19 16:10:01 +05:30
parent 6abafd8355
commit d47a228ce7
4 changed files with 37 additions and 12 deletions
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client/src/Pages/ProcessingPage.tsx
+25 -7
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@@ -5,17 +5,24 @@ import StepperComponent from "../components/StepperComponent";
import { useMediaContext } from "../contexts/MediaContext";
import axios from "axios";
import JSZip from "jszip";
import Logs from "../components/Logs"
import { formatLogMessage } from "../utils/logUtils";
function ProcessingPage() {
const navigate = useNavigate();
const { mediaFile, response, setExtractedFiles, setDownloadedFileURL, setDownloadedFileSpectrogram } = useMediaContext();
const { mediaFile, response, setExtractedFiles, setDownloadedFileURL, setDownloadedFileSpectrogram, setLogs } = useMediaContext();
const [progress, setProgress] = useState(0);
const [statusText, setStatusText] = useState("Analyzing media...");
const delay = (ms: number) => new Promise(resolve => setTimeout(resolve, ms));
const processStep = async (url: string, nextStep: () => void, progressValue: number, status: string, extraData = {}) => {
const processStep = async (url: string, log: string | null, nextStep: () => void, progressValue: number, status: string, extraData = {}) => {
try {
if (log !== null) {
setLogs((prevLogs) => [...prevLogs, log]);
}
const formData = new FormData();
formData.append("file_uuid", response.file_uuid);
Object.entries(extraData).forEach(([key, value]) =>
@@ -67,6 +74,10 @@ function ProcessingPage() {
responseType: "blob",
});
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/postprocessing: Exporting source file`)]);
setTimeout(() => {
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/postprocessing: Downloading file`)]);
}, 100);
if (res.status === 200) {
console.log("Download successful");
const blob = new Blob([res.data], { type: "audio/wav" });
@@ -78,6 +89,7 @@ function ProcessingPage() {
// Get spectrogram
setProgress(95);
setStatusText("Calculating Spectrogram");
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/spectrogram: Calculating spectrogram`)]);
const formData = new FormData();
formData.append("file_uuid", response.file_uuid);
@@ -114,6 +126,10 @@ function ProcessingPage() {
const handleDownload = async (downloadData: Blob) => {
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/postprocessing: Exporting source files`)]);
setTimeout(() => {
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/postprocessing: Downloading files`)]);
}, 100);
const zipBlob = new Blob([downloadData], { type: "application/zip" });
const zip = await JSZip.loadAsync(zipBlob);
@@ -127,6 +143,7 @@ function ProcessingPage() {
// Get spectrograms
setProgress(95);
setStatusText("Calculating Spectrograms");
setLogs((prevLogs) => [...prevLogs, formatLogMessage(`freqsplit/spectrogram: Calculating spectrograms`)]);
const formData = new FormData();
formData.append("file_uuid", response.file_uuid);
@@ -161,14 +178,14 @@ function ProcessingPage() {
console.log("Starting processing...");
processStep("/api/normalize", () => {
processStep("/api/trim", () => {
processStep("/api/normalize", formatLogMessage("freqsplit/preprocessing: Applying amplitude scaling"), () => {
processStep("/api/trim", formatLogMessage("freqsplit/preprocessing: Pruning silent segments from audio"), () => {
if (response.audio_class === "Music") {
processStep("/api/resample", () => {
processStep("/api/separate", () => fetchZipDownload(), 90, "Separating music into vocals, bass, drums and other...");
processStep("/api/resample", formatLogMessage(`freqsplit/preprocessing: Performing rate conversion: ${response.sr}Hz -> 44100Hz`), () => {
processStep("/api/separate", formatLogMessage(`freqsplit/separation: Demucs: Applying Time-domain source extraction`), () => fetchZipDownload(), 90, formatLogMessage("Separating music into vocals, bass, drums and other..."));
}, 75, "Resampling audio to 44100Hz...", { sr: "44100" });
} else {
processStep("/api/noisereduce", () => fetchDownload(), 90, "Reducing background noise from the audio...");
processStep("/api/noisereduce", formatLogMessage(`freqsplit/refinement: DeepFilterNet: Applying Spectral noise gating`), () => fetchDownload(), 90, formatLogMessage("Reducing background noise from the audio..."));
}
}, 50, "Trimming silent parts from the audio...");
}, 25, "Normalizing audio frequency...");
@@ -217,6 +234,7 @@ function ProcessingPage() {
height: 2,
}}
/>
<Logs />
</Container>
);
}