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add code documentation

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rnsrk 2023-03-17 20:06:01 +01:00
parent 4479bd2429
commit bc842244c7
7 changed files with 261 additions and 31 deletions
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27
Main.py
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@ -1,3 +1,19 @@
"""
Hedonodon toot sentiment analyzer.
This programm fetches toots from the fedihum.org Mastodon instance, calculates
the frequencies of the sentiments (positive, neutral, negative) and the mean
from these nominal values (even this is not statistical correct (;-_-)!, but
not all analyzer return compounds).
It also calculates the word count of the nouns per sentiment.
It uses germansentiment for german toots, twitter-roberta-base-sentiment for
english toots, and vaderSentiment for other languages.
For the word counts I translate the toots to english with the GoogleTranslator
first.
"""
from CRUDManager import CRUDManager, calculateSentimentCount, calculateSentimentMean, getYesterdaysToots
from datetime import datetime, date
from DbSetup import init_db
@ -6,7 +22,7 @@ from MastodonAccountManager import MastodonAccountManager
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from TootCrawler import TootCrawler
from SentiTooter import translateToots, createWordCountPerSentiment
from SentiTooter import translateToots, createWordFrequenciesPerSentiment
locale.setlocale(locale.LC_TIME, "en_US.UTF-8")
init_db()
@ -40,7 +56,7 @@ else:
print('Calculate word counts...')
yesterdaysToots = getYesterdaysToots()
translatedToots = translateToots(yesterdaysToots)
wordCountsPerSentiment = createWordCountPerSentiment(translatedToots)
wordCountsPerSentiment = createWordFrequenciesPerSentiment(translatedToots)
print('done!')
print(wordCountsPerSentiment);
@ -116,6 +132,7 @@ plotFileUrl = f'./plots/{TodayDate}.png'
plt.savefig(plotFileUrl)
print('done!')
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}.")
mastodonInstance.status_post(f'The moods of the toots on and up to {TodayDate}.\nWord counts per sentiment:\n{wordCountsPerSentiment}', media_ids=media, language='en')
print('Send toot...')
#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}.")
#mastodonInstance.status_post(f'The moods of the toots on and up to {TodayDate}.\nWord counts per sentiment:\n{wordCountsPerSentiment}', media_ids=media, language='en')
print('done!')