Added Python app with dataset

.github/workflows/deploy.yml

@@ -5,8 +5,8 @@ on:
 
 env:
   applicationfolder: spring-boot-hello-world-example
-  AWS_REGION: ##region##
-  S3BUCKET: ##s3-bucket## 
+  AWS_REGION: us-east-2
+  S3BUCKET: unocodedeploystack-webappdeploymentbucket-jtaxf6t0zjwo
 
 
 jobs:

aws/scripts/after-install.sh

@@ -3,8 +3,8 @@ set -xe
 
 
 # Copy war file from S3 bucket to tomcat webapp folder
-aws s3 cp s3://##s3-bucket##/SpringBootHelloWorldExampleApplication.war /usr/local/tomcat9/webapps/SpringBootHelloWorldExampleApplication.war
+aws s3 cp s3://unocodedeploystack-webappdeploymentbucket-jtaxf6t0zjwo/SpringBootHelloWorldExampleApplication.war /usr/local/tomcat9/webapps/SpringBootHelloWorldExampleApplication.war
 
 
 # Ensure the ownership permissions are correct.
-chown -R tomcat:tomcat /usr/local/tomcat9/webapps
+chown -R tomcat:tomcat /usr/local/tomcat9/webapps

converter_app.py

@@ -0,0 +1,113 @@
+import dash
+from dash import dcc, html, Input, Output, State, dash_table
+import pandas as pd
+import base64
+import io
+from dash.exceptions import PreventUpdate
+import dash_bootstrap_components as dbc
+# Add this import statement at the beginning of your Python script
+import urllib.parse
+
+
+app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
+
+app.layout = html.Div([
+    dcc.Upload(
+        id='upload-data',
+        children=html.Div(['Drag and Drop or ', html.A('Select Files')]),
+        style={
+            'width': '100%',
+            'height': '60px',
+            'lineHeight': '60px',
+            'borderWidth': '1px',
+            'borderStyle': 'dashed',
+            'borderRadius': '5px',
+            'textAlign': 'center',
+            'margin': '10px'
+        },
+        multiple=False
+    ),
+    html.Button('Process Data', id='process-data', n_clicks=0),
+    html.Div(id='output-data-upload'),
+    dcc.Download(id='download-dataframe-csv')
+])
+
+def parse_contents(contents, filename):
+    content_type, content_string = contents.split(',')
+    decoded = base64.b64decode(content_string)
+    try:
+        if 'csv' in filename:
+            # Assume that the user uploaded a CSV file
+            df = pd.read_csv(io.StringIO(decoded.decode('utf-8')))
+        elif 'xls' in filename:
+            # Assume that the user uploaded an excel file
+            df = pd.read_excel(io.BytesIO(decoded))
+    except Exception as e:
+        return html.Div([
+            'There was an error processing this file: ' + str(e)
+        ])
+    return df
+
+def hex_to_binary(hex_val):
+    return bin(int(hex_val, 16))[2:].zfill(16)
+
+def hex_to_decimal(hex_val):
+    return str(int(hex_val, 16))
+
+def calculate_timestamp_difference(df):
+    df['Timestamp'] = pd.to_datetime(df['Timestamp'])
+    df['Timestamp Difference'] = df['Timestamp'].diff().fillna(pd.Timedelta(seconds=0)).dt.total_seconds()
+    return df
+
+@app.callback(
+    Output('output-data-upload', 'children'),
+    [Input('upload-data', 'contents'),
+     Input('process-data', 'n_clicks')],
+    [State('upload-data', 'filename')]
+)
+def update_output(contents, process_clicks, filename):
+    ctx = dash.callback_context
+    if not contents:
+        raise PreventUpdate
+
+    df = parse_contents(contents, filename)
+    if df is None:
+        return html.Div("There was an error processing the file.")
+
+    # Get the ID of the button that triggered the callback
+    trigger_id = ctx.triggered[0]['prop_id'].split('.')[0]
+
+    if trigger_id == 'process-data' and process_clicks > 0:
+        df['Binary'] = df['Hex'].apply(hex_to_binary)
+        df['Decimal'] = df['Hex'].apply(hex_to_decimal)
+        df = calculate_timestamp_difference(df)
+
+    data_table = dash_table.DataTable(
+        data=df.to_dict('records'),
+        columns=[{'name': i, 'id': i} for i in df.columns],
+        export_format="csv",
+        style_table={'overflowX': 'scroll'},
+        style_cell={
+            'height': 'auto',
+            'minWidth': '180px', 'width': '180px', 'maxWidth': '180px',
+            'whiteSpace': 'normal'
+        }
+    )
+
+    # Update download-dataframe-csv data and trigger download
+    if trigger_id == 'process-data':
+        csv_string = df.to_csv(index=False, encoding='utf-8')
+        csv_string = "data:text/csv;charset=utf-8," + urllib.parse.quote(csv_string)
+        download_button = html.A(
+            "Download CSV",
+            id='download-link',
+            download="processed_data.csv",
+            href=csv_string,
+            target="_blank"
+        )
+        return html.Div([data_table, download_button])
+
+    return html.Div([data_table])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)

dataset.csv

@@ -0,0 +1,101 @@
+Timestamp,Hex
+2024-04-01 00:00:00.000,0x0AAC
+2024-04-01 00:00:00.500,0xAA2F
+2024-04-01 00:00:01.000,0xA675
+2024-04-01 00:00:01.500,0xCCC0
+2024-04-01 00:00:02.000,0xB343
+2024-04-01 00:00:02.500,0x52FB
+2024-04-01 00:00:03.000,0x76C3
+2024-04-01 00:00:03.500,0x7D67
+2024-04-01 00:00:04.000,0xA409
+2024-04-01 00:00:04.500,0xDED3
+2024-04-01 00:00:05.000,0x5115
+2024-04-01 00:00:05.500,0xD6F2
+2024-04-01 00:00:06.000,0xB724
+2024-04-01 00:00:06.500,0x3A57
+2024-04-01 00:00:07.000,0x3C46
+2024-04-01 00:00:07.500,0xBDD8
+2024-04-01 00:00:08.000,0x9A58
+2024-04-01 00:00:08.500,0xCD8C
+2024-04-01 00:00:09.000,0x393A
+2024-04-01 00:00:09.500,0x42C1
+2024-04-01 00:00:10.000,0x7DE6
+2024-04-01 00:00:10.500,0x4A27
+2024-04-01 00:00:11.000,0xA857
+2024-04-01 00:00:11.500,0xC8AE
+2024-04-01 00:00:12.000,0x5E58
+2024-04-01 00:00:12.500,0x8B51
+2024-04-01 00:00:13.000,0xE6A5
+2024-04-01 00:00:13.500,0x4219
+2024-04-01 00:00:14.000,0x6B4D
+2024-04-01 00:00:14.500,0x9848
+2024-04-01 00:00:15.000,0x1B09
+2024-04-01 00:00:15.500,0x9794
+2024-04-01 00:00:16.000,0x0873
+2024-04-01 00:00:16.500,0x13D0
+2024-04-01 00:00:17.000,0x92F3
+2024-04-01 00:00:17.500,0x1EC5
+2024-04-01 00:00:18.000,0x47FE
+2024-04-01 00:00:18.500,0x074F
+2024-04-01 00:00:19.000,0x1DAF
+2024-04-01 00:00:19.500,0x09C0
+2024-04-01 00:00:20.000,0xBB52
+2024-04-01 00:00:20.500,0x6063
+2024-04-01 00:00:21.000,0xA7D8
+2024-04-01 00:00:21.500,0x7CB1
+2024-04-01 00:00:22.000,0x82F3
+2024-04-01 00:00:22.500,0x031D
+2024-04-01 00:00:23.000,0xC293
+2024-04-01 00:00:23.500,0x0C93
+2024-04-01 00:00:24.000,0x3B8E
+2024-04-01 00:00:24.500,0x61A7
+2024-04-01 00:00:25.000,0xDD20
+2024-04-01 00:00:25.500,0x3FC1
+2024-04-01 00:00:26.000,0xCD09
+2024-04-01 00:00:26.500,0x4AB9
+2024-04-01 00:00:27.000,0xD27F
+2024-04-01 00:00:27.500,0xA220
+2024-04-01 00:00:28.000,0xDA1F
+2024-04-01 00:00:28.500,0xC2CA
+2024-04-01 00:00:29.000,0x48F4
+2024-04-01 00:00:29.500,0xE097
+2024-04-01 00:00:30.000,0xEAA3
+2024-04-01 00:00:30.500,0x79FE
+2024-04-01 00:00:31.000,0x2DCB
+2024-04-01 00:00:31.500,0xAB72
+2024-04-01 00:00:32.000,0x44B7
+2024-04-01 00:00:32.500,0xD81C
+2024-04-01 00:00:33.000,0xE322
+2024-04-01 00:00:33.500,0xA880
+2024-04-01 00:00:34.000,0x6880
+2024-04-01 00:00:34.500,0xE7A4
+2024-04-01 00:00:35.000,0x5C35
+2024-04-01 00:00:35.500,0x1785
+2024-04-01 00:00:36.000,0x4E26
+2024-04-01 00:00:36.500,0x0DE8
+2024-04-01 00:00:37.000,0x62F4
+2024-04-01 00:00:37.500,0xF111
+2024-04-01 00:00:38.000,0x794F
+2024-04-01 00:00:38.500,0xB184
+2024-04-01 00:00:39.000,0xC669
+2024-04-01 00:00:39.500,0xEC2A
+2024-04-01 00:00:40.000,0xB5BA
+2024-04-01 00:00:40.500,0xBA1F
+2024-04-01 00:00:41.000,0x5378
+2024-04-01 00:00:41.500,0x5101
+2024-04-01 00:00:42.000,0xF541
+2024-04-01 00:00:42.500,0x6FE7
+2024-04-01 00:00:43.000,0xEFA9
+2024-04-01 00:00:43.500,0x6839
+2024-04-01 00:00:44.000,0x3923
+2024-04-01 00:00:44.500,0x2F66
+2024-04-01 00:00:45.000,0xEC77
+2024-04-01 00:00:45.500,0xBB0B
+2024-04-01 00:00:46.000,0xA1AE
+2024-04-01 00:00:46.500,0xDC52
+2024-04-01 00:00:47.000,0x505B
+2024-04-01 00:00:47.500,0xF780
+2024-04-01 00:00:48.000,0xE98E
+2024-04-01 00:00:48.500,0xCA63
+2024-04-01 00:00:49.000,0x2635
+2024-04-01 00:00:49.500,0x4B8C