A complete collection of common code snippets
Project description
MrSnippets
A complete collection of common code snippets
Getting Started
To get started install the package using below command on your machine.
pip install MrSnippets
Sample Usage,
from MrSnippets.helpers import *
print(get_numbers_from_string('1a2b3e'))
Helper Module
Its an collection of commonly used functions to minimize the code and time.
List of supported functions,
- get_clean_text(string:str)
- get_numbers_from_string(string:str)
- get_alpha_from_string(string:str)
- get_string_from_html(soup)
- join_string(source_list:list, separator:str='')
- compare_string(string_one,string_two)
- get_clean_list(list_x:list)
- compare_list(first:list, second:list)
- find_list_duplicates(list:list)
- get_clean_dict(dict:dict)
- modify_jsondata(abbreviations_dict:dict,target_dict:dict)
- refine_name(name:str)
- split_name(name_string:str,reverse_it:bool=False,**kwargs)
Soup Wrapper
Its an simple implementation of css selector using Beautifulsoup. The selectors are stright forward and simple.
There are list of pre-defined selector functions. For example selecting a single element from chunk as follows.
from MrSnippets.soup_wrapper import *
name = get_element(html_chunk,'div','class','people_name')
name = get_element_by_tag(html_chunk,'<div class="people_name">')
List of fucntions supported now,
- get_element(soup, tag="div", attributeName='class', attributeValue='profile')
- get_elements(soup, tag="div", attributeName='class', attributeValue='profiles')
- get_element_by_tag(soup,selector_string:str)
- get_elements_by_tag(soup,selector_string:str)
- get_sibling_text(soup, child:str, sibling:str, contains_string:str, sibling_type="prev|next")
- extract_hyper_link(soup_chunk,patterns:list,**kwargs)
- extract_social_links(self, html_source)
- extract_vcard_link(soup_chunk,**kwargs)
- extract_image_link(soup_chunk,**kwargs)
- extract_vcard_data(vcard_text:str)
- extract_meta_data(self, html_source)
- extract_email_addresses(string)
- extract_phone_numbers(html_chunk)
Mongo Wrapper
Its an collection of commonly used functions to minimize the code and time for mongo related operations.
To Setup the Client IP do follow the below steps,
Enter Below piece of code
- from MrSnippets.mongo_wrapper import MONGO_CLIENT_IP
- Now, CTRL + Right Click on MONGO_CLIENT_IP
- Update this 'xx.xx.xx.xxx' to Your IP (195.16.20.335:27017)
MONGO_CLIENT_IP = 'xx.xx.xx.xxx:27017'
post update we will something like this,
MONGO_CLIENT_IP = '195.16.20.335:27017'
List of fucntions supported now,
- get_mongo_client(database_name, collection_name)
- list_db()
- list_collections(db:str)
- get_summarize(db:str,collection:str)
- get_sample(db:str,collection:str,query_by:str,value:str,limit:int=1)
- update_record(connection:dict,query_by:str,query_by_value,data:dict)
- create_index(connection:dict,index_attributes:list,ascending:bool=True)
- update_attribute(connection:dict,query_by:str,query_by_value,data:dict,attributes:list)
MySQL Wrapper
Its an collection of commonly used functions to minimize the code and time for MySQL related operations.
List of fucntions supported now,
- get_mysql_client(host_ip, username, pwd,db_name)
- query_actions(connection_obj, query, query_type)
Example usage,
get_mysql_client
from MrSnippets.mysql_wrapper import *
conn = get_mysql_client('190.10.30.160', 'root', 'password', 'profile')
SQL Wrapper
Its an collection of commonly used functions to minimize the code and time for SQL related operations.
List of fucntions supported now,
- get_sql_client(server_ip,database,userName,pwd)
- query_actions(db_object, query, query_type)
- insert_records(connection_obj, table_data:dict, data_dict: dict, unique_columns:list)
Example usage,
sql_insert_records
from MrSnippets.mysql_wrapper import *
db_object = get_sql_client('195.16.40.82', 'SampleDB', 'root', 'password')
sample_data = {'name':'dharan','phone_no':'023456789'}
table_meta = {'db_name':'informationSystem','table_name':'contactInfo'}
insert_records(db_object, table_data:dict, sample_data, ["phone_no"])
Web Client
Its an collection of commonly used function for inracting on Internet
List of fucntions supported now,
- get_user_agent(**kwargs)
- extract_domain_name(url)
- downloader(url,dir,file_name,extension)
- get_response(url, response_type, attempt=0, **kwargs)
available arguments for this function
data = kwargs.get('data',{})
params = kwargs.get('params',{})
timeout = kwargs.get('time_out', 60)
verify = kwargs.get('verify', True)
method = kwargs.get('method', None)
domain = kwargs.get('domain', '')
headers = kwargs.get('headers',{})
allow_redirects = kwargs.get('allow_redirects', True)
proxy = kwargs.get('proxy', True)
stream = kwargs.get('stream', False)
dom_parser = kwargs.get('dom_parser','html5lib')
Sample Usage:
response = get_response(url,'json',method='post', data = payload, headers=headers, timeout=100, verify=False)
Natural Language Processing
Collection of functions to minimize the code and time for NLP related operations.
List of fucntions supported now,
- clean_my_html(html_source)
- get_top_keywords(self, html_source)
- get_word_frequency(html_source, search_words)
- get_tokenized(string:str,ignore_stopwords:bool=False)
- get_lemmatize_data(tokens:list)
- get_standardize_words(tokens:list,lookup_dict:dict)
- generate_ngrams(tokens:list,n)
search_words = ['programmer','dhamodharanrk']
frequency = get_word_frequency(html_source, search_words)
search_words = {'name': 'john,ram', 'brand': 'apple,nokia,samsung'}
frequency = get_word_frequency(html_source, search_words)
lookup_dict = {'rt':'Retweet', 'dm':'direct message', "awsm" : "awesome", "luv" :"love"}
standardize_words = get_standardize_words(tokens,lookup_dict )
Image Processing
Collection of functions to minimize the code and time for image processing tasks
List of fucntions supported now,
- adjust_brightness(input_image, output_image, factor)
- adjust_contrast(input_image, output_image, factor)
- adjust_sharpness(input_image, output_image, factor)
- resize_image(input_image_path,output_image_path,size)
- scale_image(input_image_path,output_image_path,width=None,height=None)
- black_and_white(input_image_path,output_image_path)
- rotateImage(image_path, degrees_to_rotate, saved_location)
- flipImage(image_path, saved_location,direction)
- cropImage(image_path, coords, saved_location)
Misc Functions
Collection of functions to minimize the code and time for day to day tasks
List of fucntions supported now,
- read_text_file(file_name)
- write_text_file(filepath, filename, content)
- write_csv_file(filepath,filename,content:dict,headers:list)
- get_base64Image(encoded_data,path_to_store,file_name)
- get_city_list()
- get_state_list()
- get_city_info_obj()
- get_sizeof(num, suffix='o')
- get_current_user()
- get_parsed_url(url_to_parse)
- get_filename(file_name)
- move_to(source,destination,filename)
- copy_to(source,destination,filename)
- list_files(diretory,ext:str='')
Prerequisites
Nothing but a basic knowlege of python
Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Authors
- Dhamodharan - (https://github.com/dhamodharanrk)
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Required Libraries
- beautifulsoup4>=4.3.3
- PyMySQL>=0.9.3
- pymongo>=3.8.0
- user_agent>=0.1.9
- ftfy>=5.5.1
- tldextract>=2.2.1
- bleach>=3.1.0
- python-csv>=0.0.11
- requests>=2.18.4
- html5lib>=1.0b10
- pytest-shutil>=1.6.0
- Pillow>=2.2.1
- pyodbc>=4.0.26
Acknowledgments
- This module has been actively developed.
- More and more features will be realised on upcomming days.
- This entire code is based on my experiance and scenarios crossed. Door open for any suggestions.
- Active contributors are welcome
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