From a0d12ecbac8fe327d1dcd4580fee594e24d4191b Mon Sep 17 00:00:00 2001
From: Arturs Artamonovs <arturs.artamonovs@protonmail.com>
Date: Mon, 6 Jan 2025 12:30:49 +0000
Subject: Waterfall: UI drawing from file

---
 WaterfallFile_UI/FileSpectrum.swift | 55 +++++++++++++++++++++++++++++++++----
 1 file changed, 50 insertions(+), 5 deletions(-)

(limited to 'WaterfallFile_UI/FileSpectrum.swift')

diff --git a/WaterfallFile_UI/FileSpectrum.swift b/WaterfallFile_UI/FileSpectrum.swift
index 6415dfa..ce64836 100644
--- a/WaterfallFile_UI/FileSpectrum.swift
+++ b/WaterfallFile_UI/FileSpectrum.swift
@@ -13,8 +13,15 @@ import CoreImage
 
 class FileSpectrum: NSObject, ObservableObject {
     
-    let default_width = 512
-    let default_height = 512
+    static let default_width = 512
+    static let default_height = 512
+    static let defaultSleepTime:UInt32 = 1
+    var offset:Int=0
+    let fileReader = FileReader()
+    var dataBuffer:[Int8] = .init(repeating: 0, count: FileSpectrum.default_width)
+    var allData:[Int8]? = nil
+    let fft512 = NaiveFFT512()
+    var line_counter:Int = 0
     
     let sessionQueue = DispatchQueue(label: "sessionQueue",
                                          attributes: [],
@@ -22,7 +29,7 @@ class FileSpectrum: NSObject, ObservableObject {
     
     @Published var outputImage = emptyCGImage
     
-    let simpleImage = SimpleImage(width: 256, height: 256)
+    let simpleImage = SimpleImage(width: 512, height: 512)
     
     /// A 1x1 Core Graphics image.
     static var emptyCGImage: CGImage = {
@@ -40,24 +47,62 @@ class FileSpectrum: NSObject, ObservableObject {
             
             return buffer.makeCGImage(cgImageFormat: fmt!)!
     }()
+
+    init(_ input_filename: String) {
+        //get data from u8 file
+        
+        do {
+            try fileReader.open(filename: input_filename)
+        } catch {
+            print("Cant open file \(input_filename)")
+            exit(0)
+        }
+        var i8_arr:[Int8]? = nil
+        do {
+            try i8_arr = fileReader.readAll()
+            allData = i8_arr
+        } catch {
+            print("Got error \(error)")
+        }
+
+        fileReader.close()
+    }
     
     func makeSpectrogramImage() -> NSImage {
         
         return NSImage(cgImage: FileSpectrum.emptyCGImage, size: .zero)
     }
+    
+    //just get data time to time from databuffer and pretend to be realtime data
+    func dataFileProcessor() {
+        //all now is about 512pixels
+        let processingSlice = allData![offset...offset+FileSpectrum.default_width-1]
+        let dataBuffer = Array(processingSlice)
+        var transform_result:[Float] = .init(repeating: 0.0, count: FileSpectrum.default_width)
+        //DispatchQueue.main.async {
+            transform_result = self.fft512.computeLine(dataBuffer)
+            self.simpleImage.drawPalletLine(line: self.line_counter, pixelLine: transform_result)
+            if self.offset+FileSpectrum.default_width < allData!.count {
+                self.offset += FileSpectrum.default_width
+                self.line_counter += 1
+            }
+        //}
+        
+    }
 
     
     
     func startRunning() {
         sessionQueue.async {
             print("lets start the task for spectrum analysis")
-            for i in 0..<100 {
+            for i in 0..<512 {
                 print("Process the task \(i)")
                 self.simpleImage.drawPixel(i, i, PixelData(a: 255, r: 255, g: 0, b: 0))
                 DispatchQueue.main.async {
+                    self.dataFileProcessor()
                     self.outputImage = self.simpleImage.toCGImage()!
                 }
-                sleep(1)
+                sleep(FileSpectrum.defaultSleepTime)
             }
         }
     }
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