README.md

@@ -7,10 +7,6 @@ OffiTracker lets you use CSV spreadsheets to create chiptunes. Its as simple as
 ![Screenshot of a spreadsheet program showing tracker data](img/excel.png)
 ![The softwares CLI](img/cli.png)
 
-Here is an example of how this might sound:
-
-https://git.muellers-software.org/Minki/OffiTracker/raw/branch/main/example/demo1.mp3
-
 ## Usage
 
 Running OffiTracker requires the following packages to be present on your system:
@@ -23,12 +19,6 @@ Assuming `python3` is already installed, you can use the following command to in
 pip3 install csv numpy sounddevice
 ```
 
-If you need the GUI, additionally install PySimpleGui:
-
-```bash
-pip3 install PySimpleGui
-```
-
 After that, simply run `python3 offitracker.py` and enjoy. The command can also take a path to a file as a parameter if you wish to use your shells autocompletion.
 
 ____
@@ -37,4 +27,4 @@ Examples can be found in the `example` folder.
 
 A utility for converting midi files to csv can be found in the utility folder (monophonic only).
 
-Documentation on how to use offitracker as a library and on creating songs compatible with offitracker can be found in the `docs` folder.
+For usage information, check the contents of the `offitracker.py` file

docs/creating-songs.md

@@ -1,73 +0,0 @@
-# Creating songs in the OffiTracker format
-
-This document contains a quick tutorial on how to use the different features of the OffiTracker format to create music.
-
-## Spreadsheets galore
-
-The first step for your song is to create a new spreadsheet a program of your choice.
-
-It should be in the CSV format with comma separated columns.
-
-## Channel your creativity
-
-Like any tracker, OffiTracker uses multiple channels for playing different tones at once.
-
-Currently we only support square waves but this is subject to change soon. We will keep compatibility with existing songs however by making square waves the default.
-
-Each channel has a `Frequency` and an `Effect` column. `Frequency` is the notes frequency in Hz and `Effect` the pulse width of your square wave.
-
-You start counting your channels at 1 and can add as many as you like, just note that having more than 8 channels may result in bad audio quality or artifacting.
-
-Example:
-
-| Frequency1 | Effect1 | Frequency2 | Effect2 |
-| ---------- | ------- | ---------- | ------- |
-| 440        | 50      | 318        | 35      |
-
-## A matter of time
-
-The example above can obviously not work by itself yet as there is no way of knowing for how long to play the notes.
-
-For this, you use the `Duration` column.
-
-This column is recommended to be the furthest right one for consistency.
-
-`Duration` stores the time your row is played for in milliseconds.
-
-Example:
-
-| Frequency1 | Effect1 | Frequency2 | Effect2 | Duration |
-| ---------- | ------- | ---------- | ------- | -------- |
-| 440        | 50      | 318        | 35      | 80       |
-| 519        | 50      | 411        | 28      | 114      |
-
-## Noisy company
-
-Having square waves is all fun and games but a good song also has drums.
-
-Introducing: The `Noise` column.
-
-The `Noise` column unlike the previously shown columns is optional. You do not need to include it in your file if you don't want to use it.
-
-There are 5 different noises that you can play back at the start of your row:
-
-1. Bass drum
-
-2. Kick drum
-
-3. Click
-
-4. Snare
-
-5. Hihat
-
-A value of 0 or no value will mean that no noise is played.
-
-Example:
-
-| Frequency1 | Effect1 | Frequency2 | Effect2 | Noise | Duration |
-| ---------- | ------- | ---------- | ------- | ----- | -------- |
-| 440        | 50      | 318        | 35      | 0     | 80       |
-| 519        | 50      | 411        | 28      | 3     | 114      |
-
-Noises have their own duration ranging from long to short depending on the noise. In case the duration set in the `Duration` column is shorter than the noise, the noise will be cut off.

docs/library-usage.md

@@ -1,91 +0,0 @@
-# OffiTracker as a python library
-
-The OffiTracker program is designed in a way that allows it to be integrated in other projects by importing it.
-
-A reference design for this use case can be found in the `offiplayergui.py` file.
-
-## Importing
-
-The OffiTracker library can be imported by putting the line
-
-```python
-import offitracker
-```
-
-in the head of your python project. For this to work, you need to place the `offitracker.py` file in your projects directory as well as the `drums` folder.
-
-## The stop signal
-
-Before we start playing anything, it would be useful to know how to stop the playback again.
-
-For that, OffiTracker has a `stop_signal` variable which we can change from outside.
-
-Example:
-
-```python
-import offitracker as oftr
-
-# Set stop signal to False to allow for playback
-oftr.stop_signal = False
-
-# Set stop signal to True to stop playback
-oftr.stop_signal = True
-```
-
-## Playing a csv file
-
-Playing a csv file in the OffiTracker format can be done using the `play_csv_file` function.
-
-Example:
-
-```python
-import offitracker as oftr
-
-# Set stop signal to False to allow for playback
-oftr.stop_signal = False
-# Start playing back a file
-oftr.play_csv_file("example.csv")
-```
-
-## Playback position, threading
-
-The `play_csv_file` function has an optional `playback_row_index` variable that stores the currently playing row. If the variable is not initialized, the function will print a status message to stdout. Initializing it will disable that message and instead store the value which is useful when writing more complex software around the library.
-
-Example:
-
-```python
-import offitracker as oftr
-import threading
-import time
-
-def playback_thread(csv_file_path):
-    # Set stop signal to False to allow for playback
-    oftr.stop_signal = False
-    # Initialise playback row index
-    oftr.playback_row_index = 0
-    # Start playing back the file
-    oftr.play_csv_file(csv_file_path)
-
-# Example CSV file path
-csv_file_path = "example.csv"
-
-# Create a thread for playback
-playback_thread = threading.Thread(target=playback_thread, args=(csv_file_path,))
-
-try:
-    # Start the playback thread
-    playback_thread.start()
-
-    while not oftr.stop_signal:
-        # Read the current row index
-        current_row_index = oftr.playback_row_index
-        print(f"Current Row Index: {current_row_index}")
-        time.sleep(1)  # Adjust the sleep duration as needed
-
-except KeyboardInterrupt:
-    # Set stop signal to True to stop playback when Ctrl+C is pressed
-    oftr.stop_signal = True
-    playback_thread.join()  # Wait for the playback thread to finish
-
-print("Playback stopped.")
-```

drums/drum3.txt

@@ -1 +0,0 @@
-[0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 1.4296875, 1.421875, 1.421875, 1.421875, 1.421875, 1.4375, 0.9921875, 0.9921875, 0.9921875, 0.9921875, 0.984375, 0.984375, 0.984375, 0.984375, 0.9765625, 0.9765625, 0.9765625, 0.96875, 0.96875, 0.96875, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.9609375, 0.953125, 0.953125, 0.9453125, 0.9453125, 0.9453125, 0.9375, 0.9375, 0.9375, 0.9296875, 0.921875, 0.921875, 0.921875, 0.90625, 0.90625, 0.90625, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.8984375, 0.890625, 0.890625, 0.8828125, 0.8828125, 0.875, 0.875, 0.8671875, 0.8671875, 0.859375, 0.859375, 0.859375, 0.859375, 0.859375, 0.859375, 0.8515625, 0.8515625, 0.8515625, 0.8515625, 0.8515625, 0.8515625, 0.8515625, 0.8515625, 0.84375, 0.84375, 0.8359375, 0.828125, 0.8203125, 0.8203125, 0.8125, 0.8125, 0.8046875, 0.796875, 0.796875, 0.7890625, 0.78125, 0.7734375, 0.765625, 0.75, 0.7421875, 0.734375, 0.7265625, 0.71875, 0.7109375, 0.6953125, 0.6875, 0.671875, 0.6640625, 0.65625, 0.640625, 0.6328125, 0.6171875, 0.609375, 0.59375, 0.578125, 0.5625, 0.546875, 0.5390625, 0.53125, 0.5078125, 0.4921875, 0.484375, 0.4765625, 0.46875, 0.453125, 0.4375, 0.421875, 0.40625, 0.390625, 0.3828125, 0.375, 0.3671875, 0.3515625, 0.34375, 0.328125, 0.3203125, 0.3125, 0.296875, 0.2890625, 0.2734375, 0.265625, 0.25, 0.2421875, 0.2265625, 0.21875, 0.203125, 0.1953125, 0.1875, 0.171875, 0.1640625, 0.1484375, 0.140625, 0.1328125, 0.125, 0.1015625, 0.0859375, 0.078125, 0.078125, 0.0703125, 0.0546875, 0.046875, 0.03125, 0.015625, 0.015625, 0.0078125, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875, 0.0, 1.9921875, 0.0, 0.0, 1.9921875]

drums/wav2drumtxt.py

@@ -1,64 +0,0 @@
-import os
-import wave
-import numpy as np
-
-def save_noise_data(file_path, noise_data):
-    try:
-        with open(file_path, 'w') as file:
-            file.write(str(noise_data.tolist()))
-        print(f"Noise data saved to {file_path}")
-    except Exception as e:
-        print(f"Error saving noise data to {file_path}: {e}")
-
-def extract_noise_data(file_path, duration_ms=100, sample_rate=44100):
-    try:
-        with wave.open(file_path, 'rb') as wav_file:
-            num_channels = wav_file.getnchannels()
-            sample_width = wav_file.getsampwidth()
-            frame_rate = wav_file.getframerate()
-            total_frames = wav_file.getnframes()
-
-            if num_channels > 1:
-                print("Input file must be mono (single channel).")
-                return
-
-            # Adjust for 8-bit audio
-            if sample_width == 1:
-                dtype = np.uint8
-            elif sample_width == 2:
-                dtype = np.int16
-            else:
-                print("Unsupported sample width.")
-                return
-
-            # Use the minimum of specified duration and actual duration of the file
-            duration_secs = min(duration_ms / 1000.0, total_frames / frame_rate)
-            num_frames = int(duration_secs * frame_rate)
-
-            signal = np.frombuffer(wav_file.readframes(num_frames), dtype=dtype)
-
-            # Normalize the signal for 8-bit audio
-            if sample_width == 1:
-                signal = (signal - 128) / 128.0
-
-            return signal
-    except Exception as e:
-        print(f"Error: {e}")
-        return None
-
-def main():
-    directory_path = input("Enter the path to the directory containing WAV files (press Enter for current directory): ").strip() or '.'
-    duration_ms = float(input("Enter the maximum duration in milliseconds: "))
-
-    for file_name in os.listdir(directory_path):
-        if file_name.endswith(".wav"):
-            input_wave_file = os.path.join(directory_path, file_name)
-            output_noise_data = extract_noise_data(input_wave_file, duration_ms)
-
-            if output_noise_data is not None:
-                output_file_name = os.path.splitext(file_name)[0] + ".txt"
-                save_noise_data(output_file_name, output_noise_data)
-
-if __name__ == "__main__":
-    main()
-

example/demo1.csv

@@ -1,384 +0,0 @@
-Frequency1,Effect1,Frequency2,Effect2,Duration
-294,60,147,30,165
-294,51,73,30,165
-294,60,147,30,165
-294,47,73,30,165
-330,60,147,30,165
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-1047,56,58,30,165
-784,45,117,30,165
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-784,55,58,30,165
-698,58,175,30,165
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-523,60,131,30,165
-523,53,65,30,165
-587,55,147,30,165
-587,60,73,30,165
-587,60,147,30,165
-587,48,73,30,165
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-698,60,73,30,165
-587,57,117,30,165
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-587,60,117,30,165
-587,60,58,30,165
-523,60,117,30,165
-523,40,58,30,165
-523,46,117,30,165
-523,51,58,30,165
-880,60,87,30,165
-880,53,44,30,165
-784,54,87,30,165
-784,60,44,30,165
-698,45,87,30,165
-698,43,44,30,165
-659,50,87,30,165
-698,60,44,30,165
-784,53,131,30,165
-784,60,65,30,165
-698,60,131,30,165
-659,53,65,30,165
-659,47,131,30,165
-659,50,65,30,165
-659,60,131,30,165
-659,60,65,30,165
-587,60,147,30,165
-587,60,73,30,165
-587,60,147,30,165
-587,48,73,30,165
-698,60,147,30,165
-698,60,73,30,165
-784,56,147,30,165
-784,52,73,30,165
-880,60,117,30,165
-880,60,58,30,165
-698,47,117,30,165
-698,52,58,30,165
-698,45,117,30,165
-698,60,58,30,165
-784,44,117,30,165
-698,60,58,30,165
-659,44,175,30,165
-659,44,87,30,165
-698,58,175,30,165
-784,52,87,30,165
-784,41,175,30,165
-659,58,87,30,165
-659,44,175,30,165
-659,60,87,30,165
-784,60,131,30,165
-784,59,65,30,165
-698,49,131,30,165
-659,49,65,30,165
-659,60,131,30,165
-659,60,65,30,165
-523,60,131,30,165
-523,60,65,30,165
-587,55,147,30,165
-587,45,73,30,165
-587,55,147,30,165
-587,59,73,30,165
-698,59,147,30,165
-698,60,73,30,165
-784,56,147,30,165
-784,60,73,30,165
-880,60,117,30,165
-880,43,58,30,165
-698,48,117,30,165
-880,48,58,30,165
-880,60,117,30,165
-880,60,58,30,165
-932,60,117,30,165
-880,60,58,30,165
-1047,59,87,30,165
-1047,56,44,30,165
-698,57,87,30,165
-784,46,44,30,165
-784,50,87,30,165
-659,60,44,30,165
-659,41,87,30,165
-659,53,44,30,165
-784,60,131,30,165
-784,54,65,30,165
-698,55,131,30,165
-659,41,65,30,165
-659,42,131,30,165
-659,48,65,30,165
-698,41,131,30,165
-698,51,65,30,165
-587,41,147,30,165
-587,60,73,30,165
-587,58,147,30,165
-587,40,73,30,165
-698,51,147,30,165
-698,60,73,30,165
-784,57,147,30,165
-784,49,73,30,165
-880,60,117,30,165
-880,55,58,30,165
-698,60,117,30,165
-698,44,58,30,165
-698,60,117,30,165
-698,40,58,30,165
-784,50,117,30,165
-698,44,58,30,165
-659,51,175,30,165
-659,48,87,30,165
-698,40,175,30,165
-784,60,87,30,165
-0,60,175,30,165
-659,60,87,30,165
-0,60,175,30,165
-784,60,87,30,165
-784,60,131,30,165
-698,51,65,30,165
-659,47,131,30,165
-659,60,65,30,165
-659,53,131,30,165
-523,46,65,30,165
-523,60,131,30,165
-587,56,65,30,165
-587,43,147,30,165
-587,53,73,30,165
-587,42,147,30,165
-698,48,73,30,165
-698,54,147,30,165
-784,60,73,30,165
-784,60,147,30,165
-880,42,73,30,165
-880,44,117,30,165
-698,57,58,30,165
-880,60,117,30,165
-880,60,58,30,165
-880,60,117,30,165
-932,53,58,30,165
-880,59,117,30,165
-1047,42,58,30,165
-1047,48,87,30,165
-698,43,44,30,165
-784,45,87,30,165
-0,60,44,30,165
-659,60,87,30,165
-0,44,44,30,165
-784,54,87,30,165
-784,43,44,30,165
-698,48,131,30,165
-659,60,65,30,165
-659,43,131,30,165
-659,60,65,30,165
-659,42,131,30,165
-659,43,65,30,165
-

example/mario1-2.csv

@@ -1,140 +0,0 @@
-Frequency1,Effect1,Frequency2,Effect2,Noise,Duration
-261,50,130,20,0,151
-523,50,261,20,0,154
-220,50,110,20,0,142
-440,50,220,20,0,153
-233,50,116,20,0,147
-466,50,233,20,0,154
-0,0,0,20,0,887
-261,50,130,20,0,153
-523,50,261,20,0,154
-220,50,110,20,0,142
-440,50,220,20,0,153
-233,50,116,20,0,147
-466,50,233,20,0,154
-0,0,0,20,0,887
-174,50,87,20,0,153
-349,50,174,20,0,154
-146,50,73,20,0,142
-293,50,146,20,0,153
-155,50,77,20,0,147
-311,50,155,20,0,154
-0,0,0,20,0,887
-174,50,87,20,0,153
-349,50,174,20,0,154
-146,50,73,20,0,142
-293,50,146,20,0,153
-155,50,77,20,0,147
-311,50,155,20,0,154
-0,0,0,20,0,592
-311,50,155,20,0,93
-0,0,0,20,0,5
-293,50,146,20,0,90
-0,0,0,20,0,5
-277,50,138,20,0,93
-0,0,0,20,0,5
-261,50,130,20,0,227
-0,0,0,20,0,74
-311,50,155,20,0,220
-0,0,0,20,0,74
-293,50,146,20,0,227
-0,0,0,20,0,74
-207,50,103,20,0,220
-0,0,0,20,0,74
-195,50,97,20,0,227
-0,0,0,20,0,74
-277,50,138,20,0,220
-0,0,0,20,0,74
-261,50,130,20,0,98
-0,0,0,20,0,5
-369,50,184,20,0,92
-0,0,0,20,0,5
-349,50,174,20,0,93
-0,0,0,20,0,5
-329,50,164,20,0,93
-0,0,0,20,0,5
-466,50,233,20,0,90
-0,0,0,20,0,5
-440,50,220,20,0,93
-0,0,0,20,0,5
-415,50,207,20,0,82
-0,0,0,20,0,119
-311,50,155,20,0,79
-0,0,0,20,0,119
-246,50,123,20,0,76
-0,0,0,20,0,119
-233,50,116,20,0,82
-0,0,0,20,0,119
-220,50,110,20,0,79
-0,0,0,20,0,119
-207,50,103,20,0,76
-0,0,0,20,0,1915
-261,50,130,20,0,151
-523,50,261,20,0,154
-220,50,110,20,0,142
-440,50,220,20,0,153
-233,50,116,20,0,147
-466,50,233,20,0,154
-0,0,0,20,0,887
-261,50,130,20,0,153
-523,50,261,20,0,154
-220,50,110,20,0,142
-440,50,220,20,0,153
-233,50,116,20,0,147
-466,50,233,20,0,154
-0,0,0,20,0,887
-174,50,87,20,0,153
-349,50,174,20,0,154
-146,50,73,20,0,142
-293,50,146,20,0,153
-155,50,77,20,0,147
-311,50,155,20,0,154
-0,0,0,20,0,887
-174,50,87,20,0,153
-349,50,174,20,0,154
-146,50,73,20,0,142
-293,50,146,20,0,153
-155,50,77,20,0,147
-311,50,155,20,0,154
-0,0,0,20,0,592
-311,50,155,20,0,93
-0,0,0,20,0,5
-293,50,146,20,0,90
-0,0,0,20,0,5
-277,50,138,20,0,93
-0,0,0,20,0,5
-261,50,130,20,0,227
-0,0,0,20,0,74
-311,50,155,20,0,220
-0,0,0,20,0,74
-293,50,146,20,0,227
-0,0,0,20,0,74
-207,50,103,20,0,220
-0,0,0,20,0,74
-195,50,97,20,0,227
-0,0,0,20,0,74
-277,50,138,20,0,220
-0,0,0,20,0,74
-261,50,130,20,0,98
-0,0,0,20,0,5
-369,50,184,20,0,92
-0,0,0,20,0,5
-349,50,174,20,0,93
-0,0,0,20,0,5
-329,50,164,20,0,93
-0,0,0,20,0,5
-466,50,233,20,0,90
-0,0,0,20,0,5
-440,50,220,20,0,93
-0,0,0,20,0,5
-415,50,207,20,0,82
-0,0,0,20,0,119
-311,50,155,20,0,79
-0,0,0,20,0,119
-246,50,123,20,0,76
-0,0,0,20,0,119
-233,50,116,20,0,82
-0,0,0,20,0,119
-220,50,110,20,0,79
-0,0,0,20,0,119
-207,50,103,20,0,76

example/test2.csv

@@ -1,7 +1,3 @@
-Frequency1,Effect1,Noise,Duration
-0,0,0,500
-0,0,1,500
-0,0,2,500
-0,0,3,500
-0,0,4,500
-0,0,5,500
+Frequency1,Effect1,Frequency2,Effect2,Frequency3,Effect3,Noise,Duration
+440,50,247,10,311,70,0,500
+440,25,247,10,311,40,5,500

offiplayergui.py

@@ -1,45 +0,0 @@
-import PySimpleGUI as sg
-import glob
-import offitracker as offi
-import sys
-import csv
-import numpy as np
-import sounddevice as sd
-import threading
-
-names = glob.glob("./**/*.csv", recursive=True)
-toplay = ""
-
-layout = [[sg.Text('Search')],
-          [sg.Input(size=(200, 1), enable_events=True, key='-INPUT-')],
-          [sg.Listbox(names, size=(200, 10), enable_events=True, key='-LIST-')],
-          [sg.Button('Play'), sg.Button('Stop'), sg.Text("",key="file")]]
-
-window = sg.Window('OffiPlayer', layout,size=(480, 320))
-
-def playthread(window):
-    offi.stop_signal = False
-    offi.play_csv_file(toplay)
-    window.write_event_value(('-THREAD-', '** DONE **'), 'Done!')
-
-while True:
-    event, values = window.read()
-    if event in (sg.WIN_CLOSED, 'Exit'):
-        break
-    if values['-INPUT-'] != '':
-        search = values['-INPUT-']
-        new_values = [x for x in names if search in x]
-        window['-LIST-'].update(new_values)
-    else:
-        window['-LIST-'].update(names)
-    if event == '-LIST-' and len(values['-LIST-']):
-        toplay = values['-LIST-'][0]
-        window['file'].update(toplay)
-    if event == 'Play':
-        window.start_thread(lambda: playthread(window), ('-THREAD-', '-THEAD ENDED-'))
-    if event == 'Stop':
-        offi.stop_signal = True
-window.close()
-
-
-

offitracker.py

@@ -2,123 +2,66 @@ import sys
 import csv
 import numpy as np
 import sounddevice as sd
-import os
 
 # OffiTracker, the tracker that no one asked for but I made it anyways :3
-# This has started off as a silly little joke program, I never thought it would turn into such a complex little beast of a python project.
+# Usage: Make a CSV table in Excel or LibreOffice with the following format:
+# Frequency1 Effect1 Frequency2 Effect2 .... Noise Duration
+# You can make as many channels as you want.
+# Effect = pulse width from 0 to 100
+# Frequency = tone in Hz.
+# Noise = noise amplitude from 0 to 10
+# Duration = tone duration in ms
 # (c) 2024 mueller_minki, Feel free to modify or share.
 
-stop_signal = False
-
-noise_data_cache = {}  # Cache to store loaded noise data
-
-def load_noise_data(noise_type, sample_rate):
-    amplitude_factor = 0.5  # Adjust the amplitude factor as needed
-    noise_file_path = os.path.join('drums', f'drum{noise_type}.txt')
-
-    try:
-        with open(noise_file_path, 'r') as file:
-            noise_data = np.array(eval(file.readline()))
-            return amplitude_factor * noise_data
-    except Exception as e:
-        print(f"Error loading noise data from {noise_file_path}: {e}")
-        return None
-
-def load_all_noise_data():
-    global noise_data_cache
-    for i in range(1, 6):
-        noise_data_cache[i] = load_noise_data(i, 44100)
-
-def generate_noise(noise_type):
-    return noise_data_cache.get(noise_type, None)
-
 def play_square_waves(output_stream, frequencies, effects, duration, amplitude=1, noise_amplitude=0, sample_rate=44100):
-    global stop_signal
-    if stop_signal:
-        output_stream.stop()
-    else:
-        num_waves = len(frequencies)
-        t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
+    num_waves = len(frequencies)
+    t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
 
-        # Generate and sum square waves for each frequency with corresponding effects
-        waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
+    # Generate and sum square waves for each frequency with corresponding effects
+    waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
 
-        # Add optional noise channel based on the noise column values
-        if noise_amplitude > 0:
-            noise_type = int(noise_amplitude)
-            noise = generate_noise(noise_type)
+    # Add optional noise channel
+    if noise_amplitude > 0:
+        noise = noise_amplitude * np.random.uniform(-1, 1, len(t))
+        waves.append(noise)
 
-            if noise is not None:
-                # Pad the noise with zeros to match the duration of the other waves
-                noise = np.concatenate((noise, np.zeros(len(t) - len(noise))))
-                waves.append(noise)
+    combined_wave = np.sum(waves, axis=0)
 
-        combined_wave = np.sum(waves, axis=0)
-        combined_wave = combined_wave.astype(np.float32)
+    combined_wave = combined_wave.astype(np.float32)
 
-        output_stream.write(combined_wave)
-
-def play_csv_file(file_path, start_row=None, stop_row=None):
-    global stop_signal
-    global noise_data_cache
-    if 'playback_row_index' in locals():
-        global playback_row_index
-
-    # Load all noise data into the cache
-    load_all_noise_data()
+    output_stream.write(combined_wave)
 
+def play_csv_file(file_path):
     with open(file_path, 'r') as csv_file:
         csv_reader = csv.DictReader(csv_file)
         header = csv_reader.fieldnames
         num_columns = len(header)
         num_pairs = (num_columns - 1) // 2
-        total_rows = sum(1 for _ in csv_reader)  # Count the total number of rows
-
-        # Reset the file pointer to the beginning
-        csv_file.seek(0)
-        next(csv_reader)  # Skip the header
 
         with sd.OutputStream(channels=1) as output_stream:
-            for idx, row in enumerate(csv_reader):
-                if start_row is not None and idx < start_row:
-                    continue
-                if stop_row is not None and idx > stop_row:
-                    break
-
+            for row in csv_reader:
                 frequencies = [float(row[f'Frequency{i}']) for i in range(1, num_pairs + 1)]
                 effects = [float(row[f'Effect{i}']) for i in range(1, num_pairs + 1)]
                 duration = float(row['Duration'])
 
                 # Check if 'Noise' column exists in the CSV file
                 noise_amplitude = float(row.get('Noise', 0))
-                
-                # Update row info
-                if 'playback_row_index' in globals():
-                    playback_row_index = idx
-                else:
-                    print(f"\rRow {idx + 1} of {total_rows}", end='', flush=True)
 
-                if stop_signal == False:
-                    play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
+                play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
 
 if __name__ == "__main__":
     print(' ')
     print('   Mueller\'s Software Domain proudly presents:')
     print('________   _____  _____._____________                     __                 ')
-    print('\\_____  \\_/ ____\\/ ____\\__\\__    ___/___________    ____ |  | __ ___________ ')
-    print(' /   |   \\   __\\ |  __\\|  | |    |  \\_  __ \\__  \\ _/ ___\\|  |/ // __ \\_  __ \\')
-    print('/    |    \\  |   |  |  |  | |    |   |  | \\// __ \\\\  \\___|    <\\  ___/|  | \\/')
-    print('\\_______  /__|   |__|  |__| |____|   |__|  (____  /\\___  >__|_ \\\\___  >__|   ')
-    print('        \\/                                      \\/     \\/     \\/    \\/       ')
-    print('                                          Version 1.4')
+    print('\_____  \_/ ____\/ ____\__\__    ___/___________    ____ |  | __ ___________ ')
+    print(' /   |   \   __\\\\   __\|  | |    |  \_  __ \__  \ _/ ___\|  |/ // __ \_  __ \\')
+    print('/    |    \  |   |  |  |  | |    |   |  | \// __ \\\\  \___|    <\  ___/|  | \/')
+    print('\_______  /__|   |__|  |__| |____|   |__|  (____  /\___  >__|_ \\\\___  >__|   ')
+    print('        \/                                      \/     \/     \/    \/       ')
+    print('                                          Version 1.1')
     if len(sys.argv) > 1:
         csv_file_path = sys.argv[1]
     else:
         csv_file_path = input("Choose a CSV file: ")
+    play_csv_file(csv_file_path)
 
-    # These should not be set in player mode
-    start_row = None
-    stop_row = None
-
-    play_csv_file(csv_file_path, start_row=start_row, stop_row=stop_row)
-    print("\nPlayback complete.")