refactored to methods

.gitignore

@@ -1,2 +1,3 @@
 .vscode/settings.json
 __pycache__/data.cpython-39.pyc
+.vscode/.ropeproject/objectdb

.vscode/.ropeproject/config.py

@@ -0,0 +1,114 @@
+# The default ``config.py``
+# flake8: noqa
+
+
+def set_prefs(prefs):
+    """This function is called before opening the project"""
+
+    # Specify which files and folders to ignore in the project.
+    # Changes to ignored resources are not added to the history and
+    # VCSs.  Also they are not returned in `Project.get_files()`.
+    # Note that ``?`` and ``*`` match all characters but slashes.
+    # '*.pyc': matches 'test.pyc' and 'pkg/test.pyc'
+    # 'mod*.pyc': matches 'test/mod1.pyc' but not 'mod/1.pyc'
+    # '.svn': matches 'pkg/.svn' and all of its children
+    # 'build/*.o': matches 'build/lib.o' but not 'build/sub/lib.o'
+    # 'build//*.o': matches 'build/lib.o' and 'build/sub/lib.o'
+    prefs['ignored_resources'] = ['*.pyc', '*~', '.ropeproject',
+                                  '.hg', '.svn', '_svn', '.git', '.tox']
+
+    # Specifies which files should be considered python files.  It is
+    # useful when you have scripts inside your project.  Only files
+    # ending with ``.py`` are considered to be python files by
+    # default.
+    # prefs['python_files'] = ['*.py']
+
+    # Custom source folders:  By default rope searches the project
+    # for finding source folders (folders that should be searched
+    # for finding modules).  You can add paths to that list.  Note
+    # that rope guesses project source folders correctly most of the
+    # time; use this if you have any problems.
+    # The folders should be relative to project root and use '/' for
+    # separating folders regardless of the platform rope is running on.
+    # 'src/my_source_folder' for instance.
+    # prefs.add('source_folders', 'src')
+
+    # You can extend python path for looking up modules
+    # prefs.add('python_path', '~/python/')
+
+    # Should rope save object information or not.
+    prefs['save_objectdb'] = True
+    prefs['compress_objectdb'] = False
+
+    # If `True`, rope analyzes each module when it is being saved.
+    prefs['automatic_soa'] = True
+    # The depth of calls to follow in static object analysis
+    prefs['soa_followed_calls'] = 0
+
+    # If `False` when running modules or unit tests "dynamic object
+    # analysis" is turned off.  This makes them much faster.
+    prefs['perform_doa'] = True
+
+    # Rope can check the validity of its object DB when running.
+    prefs['validate_objectdb'] = True
+
+    # How many undos to hold?
+    prefs['max_history_items'] = 32
+
+    # Shows whether to save history across sessions.
+    prefs['save_history'] = True
+    prefs['compress_history'] = False
+
+    # Set the number spaces used for indenting.  According to
+    # :PEP:`8`, it is best to use 4 spaces.  Since most of rope's
+    # unit-tests use 4 spaces it is more reliable, too.
+    prefs['indent_size'] = 4
+
+    # Builtin and c-extension modules that are allowed to be imported
+    # and inspected by rope.
+    prefs['extension_modules'] = []
+
+    # Add all standard c-extensions to extension_modules list.
+    prefs['import_dynload_stdmods'] = True
+
+    # If `True` modules with syntax errors are considered to be empty.
+    # The default value is `False`; When `False` syntax errors raise
+    # `rope.base.exceptions.ModuleSyntaxError` exception.
+    prefs['ignore_syntax_errors'] = False
+
+    # If `True`, rope ignores unresolvable imports.  Otherwise, they
+    # appear in the importing namespace.
+    prefs['ignore_bad_imports'] = False
+
+    # If `True`, rope will insert new module imports as
+    # `from <package> import <module>` by default.
+    prefs['prefer_module_from_imports'] = False
+
+    # If `True`, rope will transform a comma list of imports into
+    # multiple separate import statements when organizing
+    # imports.
+    prefs['split_imports'] = False
+
+    # If `True`, rope will remove all top-level import statements and
+    # reinsert them at the top of the module when making changes.
+    prefs['pull_imports_to_top'] = True
+
+    # If `True`, rope will sort imports alphabetically by module name instead
+    # of alphabetically by import statement, with from imports after normal
+    # imports.
+    prefs['sort_imports_alphabetically'] = False
+
+    # Location of implementation of
+    # rope.base.oi.type_hinting.interfaces.ITypeHintingFactory In general
+    # case, you don't have to change this value, unless you're an rope expert.
+    # Change this value to inject you own implementations of interfaces
+    # listed in module rope.base.oi.type_hinting.providers.interfaces
+    # For example, you can add you own providers for Django Models, or disable
+    # the search type-hinting in a class hierarchy, etc.
+    prefs['type_hinting_factory'] = (
+        'rope.base.oi.type_hinting.factory.default_type_hinting_factory')
+
+
+def project_opened(project):
+    """This function is called after opening the project"""
+    # Do whatever you like here!

Wallstreetbets.py

@@ -20,6 +20,7 @@
 import squarify
 from nltk.sentiment.vader import SentimentIntensityAnalyzer
 
+
 def main():
     # set the program parameters
     limit = 500      # define the limit
@@ -30,26 +31,26 @@ def main():
     posts, count, c_analyzed, tickers, titles, a_comments = 0, 0, 0, {}, [], {}
 
     start_time = time.time()
-    reddit = reddit_login()
+    reddit = reddit_login("Comment Extraction", "cyCpjEI0IKT5HA", "vFo8q24cVc9j8Z7YluYr6zv4Tl0Hmg", "StraightFail815", "$D?x4Um.<r#_@?V")
     subreddit = configure_reddit_subreddit(reddit)
     hot_python = subreddit.hot()    # sorting posts by hot
     extract_comments_symbols(hot_python, post_flairs, titles, posts, limit, upvotes, tickers, a_comments, count, c_analyzed)
 
     # sorts the dictionary
     symbols = dict(sorted(tickers.items(), key=lambda item: item[1], reverse = True))
     top_picks = list(symbols.keys())[0:picks]
-    time = (time.time() - start_time)
+    current_time = (time.time() - start_time)
 
-    print_results(time, c_analyzed, posts, picks, top_picks, symbols)
+    print_results(current_time, c_analyzed, posts, picks, top_picks, symbols, titles)
     scores = apply_sentiment_analysis(symbols, picks_ayz, a_comments)
     print_sentiment_analysis(picks_ayz, scores)
 
-def reddit_login():
-    return praw.Reddit(user_agent="Comment Extraction",
-        client_id="cyCpjEI0IKT5HA",
-        client_secret="vFo8q24cVc9j8Z7YluYr6zv4Tl0Hmg",
-        username="StraightFail815",
-        password="$D?x4Um.<r#_@?V")
+def reddit_login(user, clientid, clientsecret, usernme, passwrd):
+    return praw.Reddit(user_agent=user,
+        client_id=clientid,
+        client_secret=clientsecret,
+        username=usernme,
+        password=passwrd)
 
 def configure_reddit_subreddit(reddit):
     return reddit.subreddit('wallstreetbets')
@@ -81,7 +82,7 @@ def extract_comments_symbols(hot_python, post_flairs, titles, posts, limit, upvo
                                 count += 1    
 
 
-def print_results(time, c_analyzed, posts, picks, top_picks, symbols):
+def print_results(time, c_analyzed, posts, picks, top_picks, symbols, titles):
     # print top picks
     print("It took {t:.2f} seconds to analyze {c} comments in {p} posts.\n".format(t=time, c=c_analyzed, p=posts))
     print("Posts analyzed:")