Re-based to Slim, reduced NTLK corpus dependencies

Image now has a much smaller footprint of ca 300 MB rather than 9 GB

posting/Dockerfile

@@ -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

posting/post_log.txt

@@ -1 +0,0 @@
-2021-03-19-00:28:14: What is artificial intelligence, if not mucopolysaccharidosis persevering?

posting/script.py

@@ -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()