Re-based to Slim, reduced NTLK corpus dependencies
Image now has a much smaller footprint of ca 300 MB rather than 9 GB
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							| @@ -1,3 +1,7 @@ | ||||
| # Log Files | ||||
| interaction/last_seen.txt | ||||
| posting/post_log.txt | ||||
|  | ||||
| # ---> VSCode | ||||
| .vscode/ | ||||
|  | ||||
|   | ||||
| @@ -1,6 +1,6 @@ | ||||
| FROM python:slim | ||||
| COPY . /usr/src/app | ||||
| WORKDIR /usr/src/app | ||||
| RUN pip install --upgrade pip | ||||
| RUN pip install -r requirements.txt | ||||
| RUN pip install --upgrade pip && pip install -r requirements.txt && \ | ||||
|     apt-get autoremove -y | ||||
| CMD python3 -u ./script.py | ||||
| @@ -1 +0,0 @@ | ||||
| 1368349440298409985 | ||||
| @@ -14,7 +14,10 @@ auth = tweepy.OAuthHandler(os.getenv('API_TOKEN'), os.getenv('API_KEY_SECRET'), | ||||
| auth.set_access_token(os.getenv('ACCESS_TOKEN'), os.getenv('ACCESS_TOKEN_SECRET')) | ||||
|  | ||||
| api = tweepy.API(auth) | ||||
| lastSeenFile = '/usr/src/app/last_seen.txt' | ||||
| lastSeenFile = 'last_seen.txt' | ||||
| if not os.path.isfile(lastSeenFile): | ||||
|     with open(lastSeenFile, 'w+') as fileWrite: | ||||
|         fileWrite.write(str(0)) | ||||
|  | ||||
| def getLastSeen(filename): | ||||
|     with open(filename, 'r') as fileRead: | ||||
| @@ -41,10 +44,11 @@ def interactions(): | ||||
|         if re.search('what is.*if not.*persevering',tweet.text.lower()): | ||||
|             if not tweet.text.lower().startswith('rt') and tweet.user != api.me(): | ||||
|                 print(f'Tweet {tweet.text} by @{tweet.author.screen_name}', flush = True) | ||||
|                 if not tweet.favorited: | ||||
|                 t = api.get_status(tweet.id) | ||||
|                 if not t.favorited: | ||||
|                     print('Not favourited.') | ||||
|                     api.create_favorite(tweet.id) | ||||
|                 if not tweet.retweeted: | ||||
|                 if not t.retweeted: | ||||
|                     print('Not retweeted.') | ||||
|                     api.retweet(tweet.id) | ||||
|         storeLastSeen(lastSeenFile, tweet.id) | ||||
|   | ||||
| @@ -1,7 +1,7 @@ | ||||
| FROM python:slim | ||||
| COPY . /usr/src/app | ||||
| WORKDIR /usr/src/app | ||||
| RUN pip install --upgrade pip | ||||
| RUN pip install -r requirements.txt | ||||
| RUN python -m nltk.downloader all | ||||
| RUN pip install --upgrade pip && pip install -r requirements.txt && \ | ||||
|     apt-get autoremove -y | ||||
| RUN python -m nltk.downloader wordnet | ||||
| CMD python3 -u ./script.py | ||||
| @@ -1 +0,0 @@ | ||||
| 2021-03-19-00:28:14: What is artificial intelligence, if not mucopolysaccharidosis persevering? | ||||
| @@ -17,7 +17,7 @@ auth.set_access_token(os.getenv('ACCESS_TOKEN'), os.getenv('ACCESS_TOKEN_SECRET' | ||||
| api = tweepy.API(auth) | ||||
|  | ||||
| def generate_words(): | ||||
|     syllables = random.randint(1,sum(1 for file in os.listdir('/usr/src/app/lists'))) | ||||
|     syllables = random.randint(1,sum(1 for file in os.listdir('lists'))) | ||||
|     w1 = get_word(syllables) | ||||
|     w2 = get_word(syllables) | ||||
|     w1_synset = wn.synsets(w1.replace(' ', '_'))[0] | ||||
| @@ -31,7 +31,7 @@ def generate_words(): | ||||
|  | ||||
| def get_word(syl): | ||||
|     fileName = f'{syl}_syllable.txt' | ||||
|     with open(f'/usr/src/app/lists/{fileName}', 'r') as wordList: | ||||
|     with open(f'lists/{fileName}', 'r') as wordList: | ||||
|         l = sum(1 for line in wordList) - 1 | ||||
|         c = random.randint(0,l) | ||||
|         wordList.seek(0) | ||||
| @@ -49,7 +49,7 @@ def posting(): | ||||
|     output = f'What is {words[0]} if not {words[1]} persevering?' | ||||
|     print(output) | ||||
|     api.update_status(output) | ||||
|     with open('/usr/src/app/post_log.txt', 'a') as logFile: | ||||
|     with open('post_log.txt', 'a+') as logFile: | ||||
|         logFile.write(f'{datetime.now().strftime("%Y-%m-%d-%X")}: {output}\n') | ||||
|  | ||||
| now = datetime.now() | ||||
|   | ||||
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