packaged

bin/markovbot

@@ -0,0 +1,22 @@
+#!/usr/bin/env python
+import markovbot
+import twitter
+import itertools
+import random
+
+# Command line parser
+
+args = markovbot.parser()
+
+# Set the coke binge parameter
+if args.coke_binge:
+    coke_binge_num = random.randint(1, 6)
+else:
+    coke_binge_num = 1
+
+text_model=markovbot.build_model(args.text)
+
+# Make the api keys
+api = markovbot.make_api_keys(args.filepath)
+
+markovbot.make_tweets(api, args.test, text_model, coke_binge_num)

build/lib/markovbot/__init__.py

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+import argparse
+
+def parser() =
+    parser = argparse.ArgumentParser(description='Process some integers.')
+    parser.add_argument('--config', dest='filepath', metavar='CREDENTIALS', type=str, help='Path to config file')
+    parser.add_argument('text', metavar='CORPUS', type=str, help='path to the text you wish to mimic') # filepath should be a flag; corpus an argument!
+    parser.add_argument('--coke-binge', dest='coke_binge', action="store_true", default=False, help='Tweet excessively/emulate our POTUS') # instead of tweeting once, tweet a random number of times.
+    parser.add_argument('-t', dest='test', action="store_true", default=False, help='Test text generation without tweeting.') # distance on markov chains?? distance on syntax trees? # default to test or default to tweet??
+    return parser.parse_args()
+
+# Function to help process credentials file
+def drop_tag(str):
+    parsed = itertools.dropwhile(lambda x: x!= ':', str)
+    str2 = "".join(parsed)
+    parsed2 = itertools.dropwhile(lambda x: x == ' ' or x == ':', str2)
+    return "".join(parsed2)
+
+# Process api keys etc.
+def make_api_keys(filepath):
+    # Open file with credentials
+    with open(filepath) as f:
+        content = f.readlines()
+    # Strip irrelevant text
+    let content = [drop_tag(x.strip()) for x in content]
+    # create twitter api object
+    return twitter.Api(consumer_key=content[0],
+                          consumer_secret=content[1],
+                          access_token_key=content[2],
+                          access_token_secret=content[3])

build/scripts-3.5/markovbot

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+#!python
+import markovify
+import markovbot
+import twitter
+import itertools
+import random
+
+# Command line parser
+
+args = parser()
+
+# Set the coke binge parameter
+if args.coke_binge:
+    coke_binge_num = random.randint(1, 6)
+else:
+    coke_binge_num = 1
+
+# Get raw text of markov chain as string.
+with open(args.text) as f:
+    text = f.read()
+
+# Build the model.
+text_model = markovify.Text(text)
+
+api = make_api_keys(args.filepath)
+
+# Generate three randomly-generated sentences of no more than 140 characters and tweet them.
+selected = False
+for i in range(0, coke_binge_num):
+    while selected is False:
+        str_potentially = text_model.make_short_sentence(140)
+        if not("http" in str_potentially):
+            if not(args.test):
+                # tweet the generated text
+                status = api.PostUpdate(str_potentially)
+                print(status.text)  # verify it worked
+            else:
+                # test mode; just display it
+                print(str_potentially)
+            selected = True
+    selected = False

markov.py

@@ -1,64 +0,0 @@
-import markovify
-import twitter
-import itertools
-import argparse
-import random
-
-# Command line parser
-parser = argparse.ArgumentParser(description='Process some integers.')
-parser.add_argument('filepath', metavar='CREDENTIALS', type=str, help='an integer for the accumulator')
-parser.add_argument('--text', dest='corpus', metavar='CORPUS', type=str, help='path to the text you wish to mimic') # filepath should be a flag; corpus an argument!
-parser.add_argument('--coke-binge', dest='coke_binge', action="store_true", default=False, help='path to the text you wish to mimic') # instead of tweeting once, tweet a random number of times.
-parser.add_argument('-t', dest='test', action="store_true", default=False, help='Test text generation without tweeting.') # distance on markov chains?? distance on syntax trees? # default to test or default to tweet??
-args = parser.parse_args()
-
-
-# Function to help process credentials file
-def drop_tag(str):
-    parsed = itertools.dropwhile(lambda x: x!= ':', str)
-    str2 = "".join(parsed)
-    parsed2 = itertools.dropwhile(lambda x: x == ' ' or x == ':', str2)
-    return "".join(parsed2)
-
-
-# Set the
-if args.coke_binge:
-    coke_binge_num = random.randint(1, 6)
-else:
-    coke_binge_num = 1
-
-# Open file with credentials
-with open(args.filepath) as f:
-    content = f.readlines()
-
-# Process api keys etc.
-content = [drop_tag(x.strip()) for x in content]
-
-# Get raw text of markov chain as string.
-with open(args.corpus) as f:
-    text = f.read()
-
-# Build the model.
-text_model = markovify.Text(text)
-
-# create twitter api object
-api = twitter.Api(consumer_key=content[0],
-                      consumer_secret=content[1],
-                      access_token_key=content[2],
-                      access_token_secret=content[3])
-
-# Generate three randomly-generated sentences of no more than 140 characters and tweet them.
-selected = False
-for i in range(0, coke_binge_num):
-    while selected is False:
-        str_potentially = text_model.make_short_sentence(140)
-        if not("http" in str_potentially):
-            if not(args.test):
-                # tweet the generated text
-                status = api.PostUpdate(str_potentially)
-                print(status.text)  # verify it worked
-            else:
-                # test mode; just display it
-                print(str_potentially)
-            selected = True
-    selected = False

markovbot/__init__.py

@@ -0,0 +1,57 @@
+import markovify
+import argparse
+import itertools
+import twitter
+
+def parser():
+    parser = argparse.ArgumentParser(description='Process some integers.')
+    parser.add_argument('--config', dest='filepath', metavar='CREDENTIALS', type=str, help='Path to config file')
+    parser.add_argument('text', metavar='CORPUS', type=str, help='path to the text you wish to mimic') # filepath should be a flag; corpus an argument!
+    parser.add_argument('--coke-binge', dest='coke_binge', action="store_true", default=False, help='Tweet excessively/emulate our POTUS') # instead of tweeting once, tweet a random number of times.
+    parser.add_argument('-t', dest='test', action="store_true", default=False, help='Test text generation without tweeting.') # distance on markov chains?? distance on syntax trees? 
+    return parser.parse_args()
+
+def build_model(text):
+    # Get raw text of markov chain as string.
+    with open(text) as f:
+        text = f.read()
+
+    # Build the model.
+    return markovify.Text(text)
+
+def make_tweets(api, test, model, coke_binge_num):
+    # Generate three randomly-generated sentences of no more than 140 characters and tweet them.
+    selected = False
+    for i in range(0, coke_binge_num):
+        while selected is False:
+            str_potentially = model.make_short_sentence(140)
+            if not("http" in str_potentially):
+                if not(test):
+                    # tweet the generated text
+                    status = api.PostUpdate(str_potentially)
+                    print(status.text)  # verify it worked
+                else:
+                    # test mode; just display it
+                    print(str_potentially)
+                selected = True
+        selected = False
+
+# Function to help process credentials file
+def drop_tag(str):
+    parsed = itertools.dropwhile(lambda x: x!= ':', str)
+    str2 = "".join(parsed)
+    parsed2 = itertools.dropwhile(lambda x: x == ' ' or x == ':', str2)
+    return "".join(parsed2)
+
+# Process api keys etc.
+def make_api_keys(filepath):
+    # Open file with credentials
+    with open(filepath) as f:
+        content = f.readlines()
+    # Strip irrelevant text
+    content = [drop_tag(x.strip()) for x in content]
+    # create twitter api object
+    return twitter.Api(consumer_key=content[0],
+                          consumer_secret=content[1],
+                          access_token_key=content[2],
+                          access_token_secret=content[3])

setup.py

@@ -0,0 +1,17 @@
+from setuptools import setup
+
+setup(name='markovbot',
+      version='0.1',
+      description='Make a markov chain based twitter bot',
+      url='http://github.com/vmchale/markov-bot',
+      author='Vanessa McHale',
+      author_email='tmchale@wisc.edu',
+      license='BSD3',
+      packages=['markovbot'],
+      scripts=['bin/markovbot'],
+      install_requires=[
+          'gitpython',
+          'markovify',
+          'python-twitter',
+      ],
+      zip_safe=False)