├── src ├── checked.example.txt ├── logs │ ├── log.example.txt │ └── violations_log.example.txt ├── checked_comments.example.txt ├── rudeness │ ├── checked.example.txt │ └── rudeness_log.example.txt ├── users │ └── users.example.json ├── data-analyzation │ ├── checked.example.txt │ └── words.example.json ├── violations │ └── violations.example.json ├── __main__.py ├── utils.py ├── config.example.py ├── text_recognition.py ├── blacklist.py ├── analyze.py ├── rude_phrases.py ├── message.py └── main.py ├── docs ├── _config.yml ├── assets │ ├── images │ │ ├── bg.jpg │ │ └── bg2.jpg │ └── css │ │ └── style.css └── index.html ├── requirements.txt ├── CHANGELOG.md ├── TODO.org ├── .gitignore ├── CODE_OF_CONDUCT.md ├── README.md └── LICENSE /src/checked.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/logs/log.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/checked_comments.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/rudeness/checked.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/users/users.example.json: -------------------------------------------------------------------------------- 1 | {} -------------------------------------------------------------------------------- /src/logs/violations_log.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/rudeness/rudeness_log.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /docs/_config.yml: -------------------------------------------------------------------------------- 1 | theme: jekyll-theme-dinky -------------------------------------------------------------------------------- /src/data-analyzation/checked.example.txt: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/data-analyzation/words.example.json: -------------------------------------------------------------------------------- 1 | {} -------------------------------------------------------------------------------- /src/violations/violations.example.json: -------------------------------------------------------------------------------- 1 | {} -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | praw 2 | pytesseract 3 | opencv-python 4 | Pillow 5 | tqdm 6 | tesseract-ocr -------------------------------------------------------------------------------- /docs/assets/images/bg.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/thecsw/MemePolice_bot/HEAD/docs/assets/images/bg.jpg -------------------------------------------------------------------------------- /docs/assets/images/bg2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/thecsw/MemePolice_bot/HEAD/docs/assets/images/bg2.jpg -------------------------------------------------------------------------------- /src/__main__.py: -------------------------------------------------------------------------------- 1 | from main import main 2 | 3 | if __name__ == "__main__": 4 | main() 5 | else: 6 | pass 7 | -------------------------------------------------------------------------------- /src/utils.py: -------------------------------------------------------------------------------- 1 | def log_to_file(text): 2 | file = open("./logs/log.txt", "a") 3 | file.write(text + "\n") 4 | file.close() 5 | -------------------------------------------------------------------------------- /src/config.example.py: -------------------------------------------------------------------------------- 1 | # This is for reddit 2 | client_id = '' 3 | client_secret = '' 4 | username = '' 5 | password = '' 6 | user_agent = '' 7 | -------------------------------------------------------------------------------- /docs/assets/css/style.css: -------------------------------------------------------------------------------- 1 | body { 2 | background-image: url("../images/bg2.jpg"); 3 | background-size: auto; 4 | } 5 | 6 | #top { 7 | margin-top: 25px; 8 | } 9 | -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | * **03/14/18** - Justin 4 | * Violation in the main message 5 | * Replies to rude users 6 | * Logging errors to file 7 | * Logging violations to file 8 | * Logging rudeness replies to file 9 | 10 | * **03/14/18** - Sandy 11 | * Added the mentions feature 12 | 13 | * **2/25/18** - Sandy 14 | * Fixed skipping some downvoted comments 15 | 16 | * **2/15/18** - Justin 17 | * Added offending user tracking 18 | * Fixed skipping of already checked memes 19 | * Added example files for required locally stored files 20 | 21 | * **2/4/18** - Justin 22 | * Added Regular Expression for image types 23 | * Fixed titles not being recognized 24 | * Added try/catch around text_recognition 25 | * Added *requirements.txt* 26 | * Misc file changes 27 | -------------------------------------------------------------------------------- /src/text_recognition.py: -------------------------------------------------------------------------------- 1 | from urllib import request 2 | import os, sys 3 | import pytesseract 4 | import cv2 5 | from PIL import Image 6 | 7 | 8 | def text_recognition(post): 9 | meme_name = "temp" # We would just call all the temporary images as "temp" 10 | request.urlretrieve(post.url, filename=meme_name) # Here we are downloading the appropriate image (png, jpg, jpeg, bmp) 11 | image = cv2.imread(meme_name) # We load up the image using opencv 12 | gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Turning the image to grayscale 13 | gray = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)[1] # Making a threshold for the image, text will be more apparent 14 | gray = cv2.medianBlur(gray, 3) # Adding some blur, useful for really noisy images 15 | filename = "{}-ocr.png".format(meme_name) # Making the temporary, ready file for text recognition 16 | cv2.imwrite(filename, gray) # Now, we will save the image 17 | img = Image.open(filename) # Open the processed image with pillow 18 | recognized_text = pytesseract.image_to_string(img).encode('utf-8') # As a means of exceptions, need to read out as UTF-8, so no encoding errors would occur 19 | os.remove(filename) # Deleting all temporary image 20 | os.remove(meme_name) 21 | return recognized_text # Returns the recognized text in UTF-8 encodign and with capital and lower letters 22 | -------------------------------------------------------------------------------- /src/blacklist.py: -------------------------------------------------------------------------------- 1 | # This is a dictionary of all banned words. 2 | # If MemePolice_bot find these words in submission's title or text from media 3 | # The ban method will be called 4 | 5 | illegal_memes = [ 6 | "399", # Chair memes 7 | "but can you do this", 8 | "tide pod", 9 | "do u know", # Ugandan memes 10 | "da wae", 11 | "uganda", 12 | "slippy", # Slippy memes 13 | "skiddadle", 14 | "skadoodle", 15 | "skidd", 16 | "skado", 17 | "your dick is now a noodle", 18 | "is now a noodle", 19 | "your dick", 20 | "upvote if", # Upvote begging 21 | "upvote so", 22 | "upvote to", 23 | "upvote this", 24 | "please upvote", 25 | "if this post", 26 | "if this submission", 27 | "when this post", 28 | "when this submission", 29 | "pls upvote", 30 | "upvote pls", 31 | "please like", 32 | "pls like", 33 | "up vote", 34 | "can we hit", 35 | "fbi agent", # FBI agent memes 36 | "fbi", 37 | "original content", # Self-explanatory 38 | "dead people", 39 | "suicide forest", 40 | "toucha", # Spaghet memes. They are just old. 41 | "flat earth", # Flat Earth thing. Dead from 05.04.18. 42 | "why like this", 43 | "not like this", 44 | "if earth is round", 45 | "if earth is not flat" 46 | ] 47 | -------------------------------------------------------------------------------- /src/analyze.py: -------------------------------------------------------------------------------- 1 | import praw 2 | import json 3 | import time 4 | import re 5 | 6 | from utils import log_to_file 7 | 8 | replace_chars = ['"', '.', ';', ':', '?', '!', '*', '+', '-', '(', ')', '[', ']', '{', '}', '>', '<', ',', '^', '@', 9 | '$', '%', '&', '_', '=', '\n', '|', '\\', "#", '/', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9'] 10 | 11 | 12 | def parse_comment(c): 13 | try: 14 | file = open("./data-analyzation/words.json", 'r') 15 | words_json = json.loads(file.read()) 16 | file.close() 17 | 18 | print("Reading comment " + c.id + " at " + time.strftime("%b %d, %Y - %I:%M:%S") + " by " + str(c.author)) 19 | 20 | body = str(c.body.encode('utf-8')) 21 | 22 | for w in body.split(' '): 23 | word = str(w.encode('utf-8')) 24 | 25 | if "http" in word or "/u/" in word or "/r/" in word or "\\" in word: 26 | continue 27 | 28 | for ch in replace_chars: 29 | word = word.replace(ch, '') 30 | 31 | if word is not "" and word is not " " and word is not "'" and word is not "," and word is not '\n' and word[0] is not "'": 32 | 33 | if word in words_json.keys(): 34 | words_json[word] = int(words_json.get(word)) + 1 35 | else: 36 | words_json[word] = 1 37 | 38 | file = open("./data-analyzation/words.json", 'w') 39 | file.write(json.dumps(words_json)) 40 | 41 | file.close() 42 | 43 | except: 44 | log_to_file("Failed to read words.json at " + time.strftime("%b %d, %Y - %I:%M:%S")) 45 | return 46 | -------------------------------------------------------------------------------- /src/rude_phrases.py: -------------------------------------------------------------------------------- 1 | # This is a dictionary of rude phrases in which to reply. 2 | # If a user replies to MemePolice_bot with one of these phrases, the bot will reply to them. 3 | # Note: The word list is an example, as to not have a file of obscenities on the GitHub 4 | 5 | import random 6 | import praw 7 | 8 | rude_list = [ 9 | "frick you", 10 | "you suck", 11 | "go to heck" 12 | ] 13 | 14 | rude_reply_list = [ 15 | "Well that's pretty rude.", 16 | """**Police sounds** 17 | 18 | You've been charged with being a complete ass. 19 | """, 20 | """**Police sounds** 21 | 22 | You've been charged cussing on a ***Christian Subreddit***. 23 | """, 24 | "Well I'm sorry you feel that way.", 25 | "I know you are but what am I?", 26 | "You're literally spending time and effort to insult a bot on the internet.", 27 | "This is a ***Christian Subreddit***. Please keep your cussing to a minimum.", 28 | """Careful with the cussing, kids could be watching. 29 | 30 | ***Christian Subreddit*** 31 | """, 32 | "***Christian Subreddit***", 33 | "Do you kiss your mother with that mouth?" 34 | ] 35 | 36 | 37 | def rudeness_reply(c): 38 | write_to_rude_log("Replied to " + c.author + "'s comment: " + c.body + "\n\n") 39 | c.reply(rude_reply_list[random.randint(0, len(rude_reply_list) - 1)]) 40 | 41 | 42 | def alt_rudeness_reply(c, text): 43 | write_to_rude_log("Replied to " + c.author + "'s comment: " + c.body + " with " + text + "\n\n") 44 | c.reply(text) 45 | 46 | 47 | def write_to_rude_log(text): 48 | file = open("./rudeness/rudeness_log.txt", "a") 49 | file.write(text) 50 | file.close() 51 | -------------------------------------------------------------------------------- /TODO.org: -------------------------------------------------------------------------------- 1 | #+TITLE: u/MemePolice_bot todo list 2 | #+DATE: 17-03-2018 3 | 4 | 5 | * TODO [#A] Fix the strange mentions bug where it just does not respond 6 | * TODO [#B] Make blacklist.py into one .json file 7 | 8 | * We can arrange words in different sections 9 | 10 | | Topic | Keywords | 11 | |----------------+---------------------| 12 | | Chair memes | 399 | 13 | | | chair | 14 | | | but can you do this | 15 | |----------------+---------------------| 16 | | Ugandan memes | do you know | 17 | | | do u know | 18 | | | da wae | 19 | |----------------+---------------------| 20 | | Upvote begging | upvote so | 21 | | | upvote to | 22 | | | upvote please | 23 | |----------------+---------------------| 24 | | ... | ... | 25 | 26 | * If the post is a fanart and upvote beggar, do not trigger the bot. 27 | 28 | | OK | NOT OK | 29 | |-------------------------------------------+------------------------------------------------| 30 | | Upvote so pewds would see my fanart! | Please upvote so pewds would see his handshake | 31 | |-------------------------------------------+------------------------------------------------| 32 | | Please like my work! I tried really hard! | Upvote so we all can laugh at this | 33 | |-------------------------------------------+------------------------------------------------| 34 | | ... | ... | 35 | 36 | * TODO [#C] Organizing all the collected data in one .sql 37 | 38 | -------------------------------------------------------------------------------- /docs/index.html: -------------------------------------------------------------------------------- 1 | 2 |
3 |
6 |
7 | ## Getting Started
8 |
9 | These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
10 |
11 | ### Prerequisites
12 |
13 | What things you need to install the software and how to install them
14 |
15 | ```bash
16 | sudo pip install praw
17 | sudo pip install python-opencv
18 | sudo pip install pytesseract
19 | sudo pip install tesseract-ocr
20 | sudo pip install Pillow
21 | sudo pip install tqdm
22 | ```
23 |
24 | OR
25 |
26 | ```
27 | pip install --upgrade -r requirements.txt
28 | ```
29 |
30 | [praw](https://github.com/praw-dev/praw) is Python Reddit API Wrapper. This will be the main and only package to connect to Reddit's API and extract desired data.
31 |
32 | [python-opencv](https://pypi.python.org/pypi/opencv-python) is used for image transformations and computer vision problems.
33 |
34 | [pytesseract](https://pypi.python.org/pypi/pytesseract) is a python wrapper for Google's Tesseract-OCR.
35 |
36 | [Pillow](https://pillow.readthedocs.io/en/latest/) is the Python Imaging Library by Fredrik Lundh and Contributors.
37 |
38 | [tqdm](https://pypi.python.org/pypi/tqdm) is used for fancy progress bars.
39 |
40 | ### Other dependencies
41 |
42 | Tesseract engine should be installed on a local machine to run the text recognition properly. We will also install the tesseract OCR trained languages for better accuracy and we will install only the English packages. For more information about other languages, please refer to tesseract's official [repository on Github](https://github.com/tesseract-ocr/tesseract).
43 |
44 | #### Linux
45 |
46 | ##### Debian, Ubuntu (aptitude)
47 | ```
48 | sudo apt-get install tesseract-ocr
49 | sudo apt-get install tesseract-ocr-eng
50 | ```
51 |
52 | ##### Arch Linux (pacman)
53 |
54 | ```
55 | sudo pacman -S tesseract
56 | sudo pacman -S tesseract-data-eng
57 | ```
58 |
59 | #### Mac OS
60 |
61 | ##### Homebrew
62 |
63 | ```
64 | brew install tesseract
65 | ```
66 |
67 | I don't know what about other distros. I think tesseract-ocr is included in all package managers.
68 |
69 | If you want to compile the tesseract engine by yourself, please refer to the [official guides.](https://github.com/tesseract-ocr/tesseract/wiki/Compiling).
70 |
71 | ### Installing
72 |
73 | The only thing that needs to be done before execution is the config profile. In the config profile you should fill your Reddit API details.
74 |
75 | For that please follow these steps
76 |
77 | ```bash
78 | git clone https://github.com/thecsw/MemePolice_bot
79 | cd MemePolice_bot
80 | mv example.config.py config.py
81 | nano config.py
82 | ```
83 |
84 | After filling out the details, save and exit. You're done with installation.
85 |
86 | ## Deployment
87 |
88 | Remove the word **'example'** from the title of all files with it.
89 |
90 | Just run this
91 |
92 | ```bash
93 | python __main__.py
94 | ```
95 |
96 | That is everything. All illegal memes shall be found and OPs should be punsihed.
97 |
98 | ## Source code
99 |
100 | The code is heavily commented and all the important modules are being separated into different files. Looks pretty, dunno.
101 |
102 | Here is a short description of all the source files
103 |
104 | - `analyze.py` - Heavy file on analyzing comments and filling them in needed files.
105 | - `blacklist.py` - Contains all the banned keywords that will trigger the bot to respond.
106 | - `config.example.py` - Just the PRAW (OAuth) credentials for bot initialization.
107 | - `main.py` - The main script that processses everything and has the main loop with threads.
108 | - `message.py` - Different messages that bot will send to users.
109 | - `rude_phrases.py` - Bot's responses to rude replies.
110 | - `text_recognition.py` - Returns text read from an image.
111 | - `utils.py` - Just the logging and other technical stuff.
112 | - `__main__.py` - The file that should be executed.
113 |
114 | Here is a short description of .json and .txt files that we have
115 |
116 | - `./users/users.json` - this is a list of offenders with the number of illegal content posted
117 | - `./data-analyzation/checked.txt` - stores checked comments.
118 | - `./data-analyzation/words.json` - sotres words and their respective frequency.
119 | - `./rudeness/checked.txt` - stores old rude replies.
120 | - `./rudeness/rudeness_log.txt` - stores the logs and other "rude" data.
121 | - `./violations/violations.json` - stores all the violations.
122 | - `./logs/log.txt` - stores errors and other debug information.
123 | - `./logs/violations_log.txt` - debug data for violations.
124 |
125 | ## Built With
126 |
127 | - [praw](https://github.com/praw-dev/praw) is Python Reddit API Wrapper. This will be the main and only package to connect to Reddit's API and extract \
128 | desired data.
129 | - [python-opencv](https://pypi.python.org/pypi/opencv-python) is used for image transformations and computer vision problems.
130 | - [pytesseract](https://pypi.python.org/pypi/pytesseract) is a python wrapper for Google's Tesseract-OCR.
131 | - [Pillow](https://pillow.readthedocs.io/en/latest/) is the Python Imaging Library by Fredrik Lundh and Contributors.
132 | - [tqdm](https://pypi.python.org/pypi/tqdm) is used for fancy progress bars.
133 |
134 | ## Authors
135 |
136 | - **Sagindyk Urazayev** - *Initial work* - [thecsw](https://github.com/thecsw)
137 | - **Justin Schwaitzberg** - *Rewriting, structuring, and adding new features* - [Schwaitz](https://github.com/Schwaitz)
138 |
139 | ## Acknowledgments
140 |
141 | - Fedora tip to Justin Schwaitzberg for greatly contributing to the code, structuring it and making it fancier.
142 |
143 | ## License
144 |
145 | This project is licensed under the The GNU General Public License - see the [LICENSE.md](https://github.com/thecsw/MemePolice_bot/blob/master/LICENSE) file for details) explains it pretty well.
146 |
--------------------------------------------------------------------------------
/src/main.py:
--------------------------------------------------------------------------------
1 | # Fill your Reddit and Telegram API in example.config.py and rename it to config.py
2 |
3 | '''
4 | __ __ ____ _ _
5 | | \/ | ___ _ __ ___ ___ | _ \ ___ | (_) ___ ___
6 | | |\/| |/ _ \ '_ ` _ \ / _ \ | |_) / _ \| | |/ __/ _ \
7 | | | | | __/ | | | | | __/ | __/ (_) | | | (_| __/
8 | |_| |_|\___|_| |_| |_|\___| |_| \___/|_|_|\___\___|
9 |
10 | '''
11 |
12 | # This is the message that users receive about illegal memes
13 | from message import message, mention, damages, bl_message
14 | # This file contains one method to input an image and output found text
15 | from text_recognition import text_recognition
16 | # Dictionary of banned words
17 | from blacklist import illegal_memes
18 | # The config file with reddit API credentials
19 | import config as config
20 |
21 | # The rude phrases reply list and function
22 | from rude_phrases import rude_list, rude_reply_list, rudeness_reply, alt_rudeness_reply
23 |
24 | # For the cooldown purposes, see below
25 | import time
26 |
27 | # For analyzing and saving comment words
28 | from analyze import parse_comment
29 |
30 | # Assorted Utilities
31 | from utils import log_to_file
32 |
33 | # Tracking iterations
34 | from tqdm import tqdm
35 | # Python Reddit API Wrapper. Self-explanatory
36 | import praw
37 |
38 | # Finding a pattern
39 | import re
40 |
41 | # Multi-threading
42 | from threading import Thread
43 |
44 | # JSON Parsing
45 | import json
46 |
47 | import random
48 |
49 | reddit = praw.Reddit(client_id=config.client_id,
50 | client_secret=config.client_secret,
51 | username=config.username,
52 | password=config.password,
53 | user_agent=config.user_agent)
54 |
55 | subreddit = reddit.subreddit('pewdiepiesubmissions')
56 |
57 | # Tesseract-OCR package can work only with jpeg, jpg, png,c gif, bmp files. Reject all other urls
58 | pattern = re.compile(".(jpe?g|png|gifv?)(\?\S*)?")
59 |
60 |
61 | # Sends a reply to users
62 | def ban(post, place, violation):
63 | print("Found an illegal word in {}!".format(place))
64 |
65 | title = post.title.encode('utf-8').lower()
66 |
67 | file = open("./logs/violations_log.txt", 'a')
68 | file.write(str(title) + " at " + time.strftime("%b %d, %Y - %I:%M:%S") + "\n")
69 | file.close()
70 |
71 | # Save violation
72 | save_violation(violation)
73 |
74 | # Replace the text %VIOLATION% with the violating word
75 | message_to_send = message.replace("%VIOLATION%", violation)
76 |
77 | post.reply(message_to_send)
78 |
79 |
80 | def save_user(user):
81 | try:
82 | file = open("./users/users.json", 'r')
83 | users_json = json.loads(file.read())
84 | file.close()
85 |
86 | if user in users_json.keys():
87 | users_json[user] = int(users_json.get(user)) + 1
88 |
89 | try:
90 | file = open("./users/users.json", 'w')
91 | file.write(json.dumps(users_json))
92 | file.close()
93 | except:
94 | log_to_file("Failed to write to users.json at " + time.strftime("%b %d, %Y - %I:%M:%S"))
95 |
96 | else:
97 | users_json[user] = 1
98 |
99 | try:
100 | file = open("./users/users.json", 'w')
101 | file.write(json.dumps(users_json))
102 | file.close()
103 | except:
104 | log_to_file("Failed to write to users.json at" + time.strftime("%b %d, %Y - %I:%M:%S"))
105 | except:
106 | log_to_file("Failed to read users.json at" + time.strftime("%b %d, %Y - %I:%M:%S"))
107 | file = open("./users/users.json", 'w')
108 | file.write("{}")
109 | file.close()
110 |
111 |
112 | def save_violation(v):
113 | try:
114 | file = open("./violations/violations.json", 'r')
115 | violations_json = json.loads(file.read())
116 | file.close()
117 |
118 | if v in violations_json.keys():
119 | violations_json[v] = int(violations_json.get(v)) + 1
120 |
121 | try:
122 | file = open("./violations/violations.json", 'w')
123 | file.write(json.dumps(violations_json))
124 | file.close()
125 | except:
126 | log_to_file("Failed to write to violations.json at" + time.strftime("%b %d, %Y - %I:%M:%S"))
127 |
128 | else:
129 | violations_json[v] = 1
130 |
131 | try:
132 | file = open("./violations/violations.json", 'w')
133 | file.write(json.dumps(violations_json))
134 | file.close()
135 | except:
136 | log_to_file("Failed to write to violations.json at" + time.strftime("%b %d, %Y - %I:%M:%S"))
137 | except:
138 | log_to_file("Failed to read violations.json at" + time.strftime("%b %d, %Y - %I:%M:%S"))
139 | file = open("./violations/violations.json", 'w')
140 | file.write("{}")
141 | file.close()
142 |
143 |
144 | def submission_thread():
145 | while True:
146 | for submission in tqdm(subreddit.stream.submissions()):
147 |
148 | post = reddit.submission(submission)
149 | # Sometimes the submissions' titles include non-ASCII symbols. Need to validate and encode.
150 | # All the banned words are in lowercase, that is why we need to convert it to lowercase.
151 | title = post.title.encode('utf-8').lower()
152 |
153 | checked = open("./checked.txt", 'r')
154 | check = checked.readlines()
155 | checked.close()
156 |
157 | if post.id + "\n" not in check:
158 | print("Reading Submission '" + str(title) + "' at " + time.strftime("%b %d, %Y - %I:%M:%S") + " by " + str(post.author))
159 |
160 | checked = open("./checked.txt", "a")
161 | checked.write(post.id + "\n")
162 | checked.close()
163 |
164 | if pattern.search(post.url) is not None:
165 | print("\tMatched regex, post is an image")
166 |
167 | meme_text = ""
168 |
169 | try:
170 | meme_text = str(text_recognition(post).lower())
171 | except Exception as e:
172 | print(e)
173 | print("\tImage Text: {}".format(meme_text))
174 |
175 | if "bitch lasagna" in meme_text or "bitch lasagna" in str(title):
176 | message_to_send = bl_message
177 | post.reply(message_to_send)
178 | continue
179 |
180 | for word in illegal_memes:
181 | if word in meme_text:
182 | # Save user data
183 | save_user(str(post.author))
184 |
185 | # Comment on post
186 | ban(post, "image", word)
187 | break
188 |
189 | # If not found in recognized text, analyze title
190 | elif word in str(title):
191 | # Save user data
192 | save_user(str(post.author))
193 |
194 | # Comment on post
195 | ban(post, "image", word)
196 | break
197 |
198 | else:
199 | if "bitch lasagna" in str(title):
200 | message_to_send = bl_message
201 | post.reply(message_to_send)
202 | continue
203 |
204 | for word in illegal_memes:
205 | if word in str(title):
206 | # Save user data
207 | save_user(str(post.author))
208 |
209 | # Comment on post
210 | ban(post, "image", word)
211 | break
212 | else:
213 | print("Already checked post, '" + str(title) + "' - skipping")
214 | time.sleep(60)
215 |
216 |
217 | def comment_thread():
218 | while True:
219 | for c in subreddit.stream.comments():
220 |
221 | check = open("./checked_comments.txt", 'r')
222 | checked = check.readlines()
223 | check.close()
224 |
225 | if c.id + "\n" not in checked:
226 | file = open("./checked_comments.txt", "a")
227 | file.write(c.id + "\n")
228 | file.close()
229 |
230 | if "memepolice" not in str(c.author.name.encode("utf-8").lower()): # We don't need to parse our own comments
231 | summon_bot(c)
232 | parse_comment(c)
233 | reply_to_comments(c)
234 | time.sleep(30)
235 |
236 |
237 | def reply_to_comments(c):
238 | try:
239 | text = str(c.body.encode("utf-8").lower()) # c.body is a byte-like object but we need str
240 |
241 | if "ur mom gay" in text or "your mom gay" in text:
242 | alt_rudeness_reply(c, "no u")
243 | return
244 |
245 | elif "good bot" in text:
246 | alt_rudeness_reply(c, "Good human :)")
247 | return
248 |
249 | elif "bad bot" in text:
250 | alt_rudeness_reply(c, "My creators specifically programmed me to feel physical pain when people say I'm bad. I hope you're happy :(")
251 | return
252 |
253 | elif "no u" in text:
254 | alt_rudeness_reply(c, damages[random.randint(0, len(damages) - 1)])
255 | return
256 |
257 | for w in rude_list:
258 | if w in text:
259 | rudeness_reply(c)
260 | break
261 |
262 | except Exception as e:
263 | print("Something bad happened in reply_to_comments: {}".format(e))
264 |
265 |
266 | def summon_bot(c):
267 | try:
268 | text = str(c.body.encode("utf-8").lower()) # c.body is a byte-like object but we need str
269 | if "u/memepolice" in text:
270 | c.reply(mention)
271 | ban(c.submission, "image", "I was called!")
272 | print("summon_bot triggered!")
273 | except Exception as e:
274 | print("Something bad happened in summon_bot: {}".format(e))
275 |
276 |
277 | def save_karma():
278 | memepolice = reddit.redditor("MemePolice_bot")
279 | while True:
280 | for comment in memepolice.comments.new(limit=100):
281 | # It will parse 100 comments in 5-6 seconds
282 | if comment.ups < -2:
283 | comment.delete()
284 |
285 | # 1 hour of sleep
286 | time.sleep(3600)
287 |
288 |
289 | def threads():
290 | Thread(name="Submissions", target=submission_thread).start()
291 | Thread(name="Comments", target=comment_thread).start()
292 | Thread(name="Save Karma", target=save_karma).start()
293 |
294 |
295 | def main():
296 | threads()
297 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | GNU GENERAL PUBLIC LICENSE
2 | Version 2, June 1991
3 |
4 | Copyright (C) 1989, 1991 Free Software Foundation, Inc.,
5 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
6 | Everyone is permitted to copy and distribute verbatim copies
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8 |
9 | Preamble
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11 | The licenses for most software are designed to take away your
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188 |
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237 | 9. The Free Software Foundation may publish revised and/or new versions
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241 |
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257 |
258 | NO WARRANTY
259 |
260 | 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY
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269 |
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280 | END OF TERMS AND CONDITIONS
281 |
282 | How to Apply These Terms to Your New Programs
283 |
284 | If you develop a new program, and you want it to be of the greatest
285 | possible use to the public, the best way to achieve this is to make it
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287 |
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292 |
293 |