98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
from CRUDManager import CRUDManager, calculateSentimentCount, calculateSentimentMean
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from datetime import datetime, date
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from DbSetup import init_db
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import locale
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from MastodonAccountManager import MastodonAccountManager
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import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from TootCrawler import TootCrawler
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locale.setlocale(locale.LC_TIME, "en_EN.UTF-8")
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init_db()
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mastodonAccountManager = MastodonAccountManager()
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mastodonInstance = mastodonAccountManager.instance
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"""
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mastodonInstance.log_in(
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'USER-EMAIL',
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'PW',
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to_file = 'hedonodon_usercred.secret'
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)
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"""
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tootCrawler = TootCrawler(mastodonInstance)
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crudManager = CRUDManager()
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lastTootId = crudManager.getLastToot()
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tootsDataframe = tootCrawler.buildTootsDataframe(lastTootId)
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if not tootsDataframe.empty:
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crudManager.saveToDatabase(tootsDataframe, 'Toots', useIndex=False)
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else:
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print('Nothing changed since last database insert!')
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sentimentsYesterday = calculateSentimentCount()
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sentimentMeansYesterday = calculateSentimentMean(sentimentsYesterday)
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if not tootsDataframe.empty:
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crudManager.saveToDatabase(dataframe=sentimentsYesterday, table='SentimentCounts', useIndex=True)
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crudManager.saveToDatabase(dataframe=sentimentMeansYesterday, table='SentimentMeans', useIndex=True)
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else:
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print('Nothing changed since last database insert!')
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colormap = {
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'negative': '#ff9999',
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'neutral': '#ffcc99',
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"positive": '#99ff99'
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}
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todaysColors = []
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for sentiment in sentimentsYesterday['sentiment'].to_numpy():
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todaysColors.append(colormap[sentiment])
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TodayDate = datetime.strptime(sentimentsYesterday['date'][0], '%Y-%m-%d').strftime('%d.%m.%Y')
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dataframe4PieChart = sentimentsYesterday.drop('date', axis=1).set_index('sentiment')
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dataframe4LineChart = crudManager.loadFromDatabase('SentimentMeans', 'date').drop('index', axis=1)
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fig, axes = plt.subplots(nrows=2, ncols=1, figsize=(10, 10))
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# Pie chart.
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pieChartlabels = dataframe4PieChart.index.to_numpy()
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pieChart = dataframe4PieChart.plot.pie(
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ax=axes[0],
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y='sentimentCount',
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ylabel="",
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labels=dataframe4PieChart['sentimentCount'],
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title=f'Moods of the toots on {TodayDate} of the local timeline on fedihum.org',
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colors=todaysColors,
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wedgeprops=dict(linewidth=3, edgecolor='w'),
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startangle=90
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)
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axes[0].axis('equal')
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centre_circle = plt.Circle((0, 0), 0.6, fc='white')
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axes[0].add_patch(centre_circle)
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chartBox = axes[0].get_position()
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axes[0].legend(pieChartlabels, loc='upper right', bbox_to_anchor=(0.9, 0.9))
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# Line chart.
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lineChart = dataframe4LineChart.plot.line(
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ax=axes[1],
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title='Mean of all sentiments from max positive (1) to min negative (-1)'
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)
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axes[1].grid(True)
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axes[1].set_xlim([date(2023, 1, 1), date(2023, 12, 31)])
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axes[1].set_ylim([-1, 1])
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axes[1].xaxis.set_major_locator(mdates.MonthLocator())
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axes[1].xaxis.set_minor_locator(mdates.MonthLocator(bymonthday=15))
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axes[1].xaxis.set_major_formatter(plt.NullFormatter())
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axes[1].xaxis.set_minor_formatter(mdates.DateFormatter('%h'))
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axes[1].tick_params(which='minor', length=0)
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plotFileUrl = f'./plots/{TodayDate}.png'
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plt.savefig(plotFileUrl)
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media = mastodonInstance.media_post(plotFileUrl, mime_type="image/png", description=f"Sentiment analysis of local timeline on fedihum.org, showing the moods of the toots on, and the sentiment mean up to {TodayDate}.")
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mastodonInstance.status_post(f'The moods of the toots on and up to {TodayDate}.', media_ids=media, language='en')
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