Whatsapp-Chat-Analyzer/app.py at master · SerjaoM/Whatsapp-Chat-Analyzer · GitHub

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import base64, json
from datetime import datetime, date
from collections import Counter
import pandas as pd
import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output, State
import dash_bootstrap_components as dbc
from src import charts, chat_parser, layouts, settings

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP, settings.FONT_AWESOME])
server = app.server
app.config.suppress_callback_exceptions = True

app.title = settings.APP_NAME
app.index_string = """
    <!DOCTYPE html>
    <html>
        <head>
            {%metas%}
            <title>{%title%}</title>
            {%favicon%}
            {%css%}
            <!-- Global site tag (gtag.js) - Google Analytics -->
            <script async src="https://www.googletagmanager.com/gtag/js?id=""" + settings.GA_TRACKING_ID + """"></script>
            <script>
                window.dataLayer = window.dataLayer || [];
                function gtag(){dataLayer.push(arguments);}
                gtag('js', new Date());
                gtag('config', '""" + settings.GA_TRACKING_ID + """');
            </script>
        </head>
        <body>
            {%app_entry%}
            <footer>
                {%config%}
                {%scripts%}
                {%renderer%}
            </footer>
        </body>
    </html>"""
app.layout = layouts.base

@app.callback([Output('page-content', 'children'), Output('container-data-store', 'children')], [Input('url', 'pathname')])
def display_page(pathname):
    """Handle what layout should be display."""
    container_data_store = dash.no_update
    if pathname == '/':
        page_content = layouts.home
    elif pathname.startswith('/groupchat/') or pathname.startswith('/personalchat/'):
        chat_type, url_key = pathname[1:].split('/')
        page_content = layouts.groupchat if chat_type == 'groupchat' else layouts.personalchat
        if not pathname.endswith(settings.FROM_LANDING_PAGE):
            url, datasets = chat_parser.load_parsed_data(url_key, 'url')
            container_data_store = dcc.Store(id='data-store', data=datasets)
            if url == 'not_found':
                page_content = layouts.not_found
    elif pathname.endswith('not_found'):
        page_content = layouts.not_found
    else:
        page_content = layouts.page_404
    return page_content, container_data_store

@app.callback(
    [Output('url', 'pathname'), Output('data-store', 'data'), Output('alert-container', 'children')],
    [Input('upload-data', 'contents'), Input('url-submit', 'n_clicks')],
    [State('save-switch', 'on'), State('url-input', 'value')])
def upload_data(contents, n_click, save, url_input):
    """Change url and load data into datastore when upload chat or go to saved chat url key."""
    ctx = dash.callback_context
    url, datasets, alert = dash.no_update, dash.no_update, dash.no_update
    if ctx.triggered[0]['prop_id'] == 'upload-data.contents':
        content_type, content = contents.split(',')
        if content_type == 'data:text/plain;base64':
            content_decoded = base64.b64decode(content)
            url, datasets = chat_parser.load_parsed_data(content_decoded, 'upload', save)
            if url == 'not_supported':
                supported_language = ', '.join([lang['language'] for lang in settings.LANGUAGE.values()])
                alert = dbc.Alert([
                    'Language not supported. Currently supported languages: {}.'.format(supported_language),
                    html.Br(),
                    'Wanna contribute? add your language at ', html.A('this file', href=settings.SETTINGS_URL, target='_blank'), '  then send me PR'
                ], dismissable=True, color='danger')
                url = dash.no_update
            else:
                url = url + settings.FROM_LANDING_PAGE
        else:
            alert = dbc.Alert('Wrong file type, please upload txt file from exported Whatsapp chat.', dismissable=True, color='danger')
    elif ctx.triggered[0]['prop_id'] == 'url-submit.n_clicks':
        url, datasets = chat_parser.load_parsed_data(url_input, 'url')
        if url != 'not_found':
            url = url + settings.FROM_LANDING_PAGE
    return url, datasets, alert

@app.callback(
    [Output('dropdown-users', 'options'), Output('navbar-brand', 'children'), Output('created-by', 'children'), Output('count-user', 'children')],
    [Input('dropdown-users', 'value')], [State('data-store', 'data')])
def fill_dropdown_users_groupchat(dropdown_users, datasets):
    """Initialize dropdown-users options and other groupchat scope data."""
    datasets = json.loads(datasets)
    df = pd.read_json(datasets['data'], orient='split')
    output = [
        [{'label': i, 'value': i} for i in datasets['users']],
        datasets['chat_name'],
        '{} at {}'.format(datasets['chat_created_by'], datasets['chat_created_at']),
        '{:,} active, {:,} left group'.format(len(datasets['users']), df[(df.category == 'Event') & (df.event_type == 'left')].shape[0])
    ]
    return output

@app.callback(
    [Output('dropdown-users2', 'options'), Output('navbar-brand2', 'children'), Output('created-by2', 'children'), Output('count-user2', 'children')],
    [Input('dropdown-users2', 'value')], [State('data-store', 'data')])
def fill_dropdown_users_personalchat(dropdown_users, datasets):
    """Initialize dropdown-users options and other groupchat scope data."""
    datasets = json.loads(datasets)
    df = pd.read_json(datasets['data'], orient='split')
    output = [
        [{'label': i, 'value': i} for i in datasets['users']],
        datasets['chat_name'],
        '{} at {}'.format(datasets['chat_created_by'], datasets['chat_created_at']),
        '{:,} active, {:,} left group'.format(len(datasets['users']), df[(df.category == 'Event') & (df.event_type == 'left')].shape[0])
    ]
    return output

@app.callback([Output('date-picker', 'min_date_allowed'), Output('date-picker', 'max_date_allowed')], [Input('date-picker', 'id')], [State('data-store', 'data')])
def update_date_picker(id_date_picker, datasets):
    """Initialize date-picker min and max allowed date."""
    datasets = json.loads(datasets)
    return datasets['chat_min_date'], datasets['chat_max_date']

@app.callback(
    [Output('help-' + key, 'style') for key in settings.TOOLTIPS] +
    [Output('tt-' + key, 'style') for key in settings.TOOLTIPS] +
    [Output('tt-' + key, 'hide_arrow') for key in settings.TOOLTIPS],
    [Input('help-switch', 'on')])
def update_help_switch(show):
    """show/hide help tooltips."""
    visibility = 'visible' if show else 'hidden'
    output = [{'visibility': visibility}] * len(settings.TOOLTIPS) * 2 + [not show] * len(settings.TOOLTIPS)
    return output

# TODO: split this big callback to some smaller callback, for better performance when deploy on server with >1 worker
@app.callback(
    [Output('counter', 'children'), Output('count-message', 'children'), Output('count-word', 'children'), Output('count-emoji', 'children'), Output('count-mention', 'children'),
     Output('count-media', 'children'), Output('count-location', 'children'), Output('count-link', 'children'), Output('count-contact', 'children'),
     Output('chart-1', 'figure'), Output('chart-2', 'figure'), Output('chart-3', 'figure'),
     Output('avg-user', 'children'), Output('avg-message', 'children'), Output('avg-day', 'children'), Output('avg-month', 'children'),
     Output('most-busy', 'children'), Output('most-active', 'children'), Output('most-silent', 'children'), Output('most-typer', 'children'),
     Output('most-emoji', 'children'), Output('most-media', 'children'), Output('most-location', 'children'), Output('most-link', 'children'),
     Output('most-contact', 'children'), Output('most-mention', 'children'), Output('most-add', 'children'), Output('most-deleted', 'children'),
     Output('most-domain', 'children'),
     Output('chart-4', 'figure'), Output('chart-5', 'figure'), Output('chart-6', 'figure'), Output('chart-7', 'src'), Output('chart-8', 'elements')],
    [Input('dropdown-users', 'value'), Input('date-picker', 'start_date'), Input('date-picker', 'end_date'), Input('time-interval1', 'value'), Input('time-interval2', 'value')],
    [State('data-store', 'data')])
def update_groupchat(dropdown_users, start_date_str, end_date_str, interval1, interval2, datasets):
    """Update displayed data and chart at first and when filter apply."""
    datasets = json.loads(datasets)
    df = pd.read_json(datasets['data'], orient='split')
    lang = datasets['lang']
    start_date = date.min if start_date_str is None else datetime.strptime(start_date_str, '%Y-%m-%d').date()
    end_date = date.max if end_date_str is None else datetime.strptime(end_date_str, '%Y-%m-%d').date()
    filtered_df = df[
        ((df.contact.isin(dropdown_users)) | (len(dropdown_users) == 0)) &
        (df.datetime.dt.date >= start_date) & (df.datetime.dt.date <= end_date)
    ]
    output = [dash.no_update] * 34
    ctx = dash.callback_context
    if ctx.triggered[0]['prop_id'] == 'time-interval1.value':
        output[9] = charts.chart1(filtered_df, interval1)
    elif ctx.triggered[0]['prop_id'] == 'time-interval2.value':
        output[29] = charts.chart4(filtered_df, interval2, 5)
    else:
        by_category = filtered_df[['contact', 'category']].pivot_table(index='contact', columns='category', aggfunc=len, fill_value=0).reindex(columns=settings.CATEGORIES, fill_value=0)
        by_column = filtered_df.groupby('contact').sum(numeric_only=True)
        by_domain = Counter(df[df.count_link > 0].list_link.sum())
        output = [
            ctx.triggered[0]['prop_id'],
            '{:,} sent, {:,} deleted'.format(by_category.sum().sum() - by_category['Event'].sum(), by_category['Deleted'].sum()),
            '{:,} sent'.format(by_column['count_words'].sum()),
            '{:,} sent'.format(by_column['count_emoji'].sum()),
            '{:,} sent'.format(by_column['count_mention'].sum()),
            '{:,} shared'.format(by_category['Media'].sum()),
            '{:,} shared'.format(by_category['Location'].sum()),
            '{:,} shared'.format(by_column['count_link'].sum()),
            '{:,} shared'.format(by_category['Contact'].sum()),
            charts.chart1(filtered_df, interval1),
            charts.chart2(filtered_df),
            charts.chart3(filtered_df),
            '{:,.2f} messages'.format((by_category.sum().sum() - by_category['Event'].sum())/filtered_df.contact.nunique(dropna=True)),
            '{:,.2f} words, {:.2f} emoji'.format(by_column['count_words'].sum()/by_category['Text'].sum(), by_column['count_emoji'].sum()/by_category['Text'].sum()),
            '{:,.2f} text, {:.2f} media'.format(by_category['Text'].sum()/filtered_df.date.nunique(), by_category['Media'].sum()/filtered_df.date.nunique()),
            '{:,.2f} text, {:.2f} media'.format(by_category['Text'].sum()/filtered_df.month.nunique(), by_category['Media'].sum()/filtered_df.month.nunique()),
            layouts.award_list(filtered_df.groupby('date').size().sort_values(ascending=False)),
            layouts.award_list((by_category.sum(axis=1) - by_category['Event']).sort_values(ascending=False)),
            layouts.award_list((by_category.sum(axis=1) - by_category['Event'])[lambda x: x > 0].sort_values(ascending=True)),
            layouts.award_list(by_column['count_character'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_emoji'].sort_values(ascending=False)),
            layouts.award_list(by_category['Media'].sort_values(ascending=False)),
            layouts.award_list(by_category['Location'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_link'].sort_values(ascending=False)),
            layouts.award_list(by_category['Contact'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_mention'].sort_values(ascending=False)),
            layouts.award_list(filtered_df[(filtered_df.category == 'Event') & (filtered_df.event_type == 'added')].groupby('contact').size().sort_values(ascending=False)),
            layouts.award_list(by_category['Deleted'].sort_values(ascending=False)),
            layouts.award_list(by_domain),
            charts.chart4(filtered_df, interval2, 5),
            charts.chart5(filtered_df, 5),
            charts.chart6(filtered_df, 10),
            charts.chart7(filtered_df),
            charts.chart8(filtered_df, lang)
        ]
    return output

@app.callback(
    [Output('counter2', 'children'), Output('count-message2', 'children'), Output('count-word2', 'children'), Output('count-emoji2', 'children'), Output('count-mention2', 'children'),
     Output('count-media2', 'children'), Output('count-location2', 'children'), Output('count-link2', 'children'), Output('count-contact2', 'children'),
     Output('chart-1p', 'figure'), Output('chart-2p', 'figure'), Output('chart-3p', 'figure'),
     Output('avg-user2', 'children'), Output('avg-message2', 'children'), Output('avg-day2', 'children'), Output('avg-month2', 'children'),
     Output('most-busy2', 'children'), Output('most-active2', 'children'), Output('most-silent2', 'children'), Output('most-typer2', 'children'),
     Output('most-emoji2', 'children'), Output('most-media2', 'children'), Output('most-location2', 'children'), Output('most-link2', 'children'),
     Output('most-contact2', 'children'), Output('most-mention2', 'children'), Output('most-add2', 'children'), Output('most-deleted2', 'children'),
     Output('most-domain2', 'children'),
     Output('chart-4p', 'figure'), Output('chart-5p', 'figure'), Output('chart-6p', 'figure'), Output('chart-7p', 'src'), Output('chart-8p', 'elements')],
    [Input('dropdown-users2', 'value'), Input('date-picker2', 'start_date'), Input('date-picker2', 'end_date'), Input('time-interval1p', 'value'), Input('time-interval2p', 'value')],
    [State('data-store', 'data')])
def update_personalchat(dropdown_users, start_date_str, end_date_str, interval1, interval2, datasets):
    """Update displayed data and chart at first and when filter apply."""
    datasets = json.loads(datasets)
    df = pd.read_json(datasets['data'], orient='split')
    lang = datasets['lang']
    start_date = date.min if start_date_str is None else datetime.strptime(start_date_str, '%Y-%m-%d').date()
    end_date = date.max if end_date_str is None else datetime.strptime(end_date_str, '%Y-%m-%d').date()
    filtered_df = df[
        ((df.contact.isin(dropdown_users)) | (len(dropdown_users) == 0)) &
        (df.datetime.dt.date >= start_date) & (df.datetime.dt.date <= end_date)
    ]
    output = [dash.no_update] * 34
    ctx = dash.callback_context
    if ctx.triggered[0]['prop_id'] == 'time-interval1.value':
        output[9] = charts.chart1(filtered_df, interval1)
    elif ctx.triggered[0]['prop_id'] == 'time-interval2.value':
        output[29] = charts.chart4(filtered_df, interval2, 5)
    else:
        by_category = filtered_df[['contact', 'category']].pivot_table(index='contact', columns='category', aggfunc=len, fill_value=0).reindex(columns=settings.CATEGORIES, fill_value=0)
        by_column = filtered_df.groupby('contact').sum(numeric_only=True)
        by_domain = Counter(df[df.count_link > 0].list_link.sum())
        output = [
            ctx.triggered[0]['prop_id'],
            '{:,} sent, {:,} deleted'.format(by_category.sum().sum() - by_category['Event'].sum(), by_category['Deleted'].sum()),
            '{:,} sent'.format(by_column['count_words'].sum()),
            '{:,} sent'.format(by_column['count_emoji'].sum()),
            '{:,} sent'.format(by_column['count_mention'].sum()),
            '{:,} shared'.format(by_category['Media'].sum()),
            '{:,} shared'.format(by_category['Location'].sum()),
            '{:,} shared'.format(by_column['count_link'].sum()),
            '{:,} shared'.format(by_category['Contact'].sum()),
            charts.chart1(filtered_df, interval1),
            charts.chart2(filtered_df),
            charts.chart3(filtered_df),
            '{:,.2f} messages'.format((by_category.sum().sum() - by_category['Event'].sum())/filtered_df.contact.nunique(dropna=True)),
            '{:,.2f} words, {:.2f} emoji'.format(by_column['count_words'].sum()/by_category['Text'].sum(), by_column['count_emoji'].sum()/by_category['Text'].sum()),
            '{:,.2f} text, {:.2f} media'.format(by_category['Text'].sum()/filtered_df.date.nunique(), by_category['Media'].sum()/filtered_df.date.nunique()),
            '{:,.2f} text, {:.2f} media'.format(by_category['Text'].sum()/filtered_df.month.nunique(), by_category['Media'].sum()/filtered_df.month.nunique()),
            layouts.award_list(filtered_df.groupby('date').size().sort_values(ascending=False)),
            layouts.award_list((by_category.sum(axis=1) - by_category['Event']).sort_values(ascending=False)),
            layouts.award_list((by_category.sum(axis=1) - by_category['Event'])[lambda x: x > 0].sort_values(ascending=True)),
            layouts.award_list(by_column['count_character'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_emoji'].sort_values(ascending=False)),
            layouts.award_list(by_category['Media'].sort_values(ascending=False)),
            layouts.award_list(by_category['Location'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_link'].sort_values(ascending=False)),
            layouts.award_list(by_category['Contact'].sort_values(ascending=False)),
            layouts.award_list(by_column['count_mention'].sort_values(ascending=False)),
            layouts.award_list(filtered_df[(filtered_df.category == 'Event') & (filtered_df.event_type == 'added')].groupby('contact').size().sort_values(ascending=False)),
            layouts.award_list(by_category['Deleted'].sort_values(ascending=False)),
            layouts.award_list(by_domain),
            charts.chart4(filtered_df, interval2, 5),
            charts.chart5(filtered_df, 5),
            charts.chart6(filtered_df, 10),
            charts.chart7(filtered_df),
            charts.chart8(filtered_df, lang)
        ]
    return output

if __name__ == "__main__":
    app.run_server(debug=True)