mirror of
http://git.nowherejezfoltodf4jiyl6r56jnzintap5vyjlia7fkirfsnfizflqd.onion/nihilist/darknet-lantern.git
synced 2025-05-17 12:46:58 +00:00
104 lines
3.6 KiB
Python
104 lines
3.6 KiB
Python
import csv, json, pandas as pd, glob
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def main():
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#print("aaa")
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csvfile="verified.csv"
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df = pd.read_csv(csvfile)
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##############################################################################
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print('\n[+] list the entire csv file and get all row IDs')
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print(df[['Name', 'URL']])
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index=-1
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while (index > df.tail(1).index.item() or index < 0):
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#index=input("\n[+] What entry do you want to edit ? (enter the row index (ex: 4)")
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index=4
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index=int(index)
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print(df.iloc[index], "last index:", df.index.stop-1)
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print("\n[+] Number of Rows:", len(df.index)-1)
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print('\n[+] Iterate over the rows by their IDs for the 2 Columns URL and Name')
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print(df.iterrows())
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for i,j in df.iterrows():
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#print("[+] ROW=",i,"\n[+] CONTENT=\n",j)
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#print("[+] ROW=",i)
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#print("[+] ROW CONTENTS= \n",df.loc[i, ['URL','Name']])
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#print("[+] ROW CONTENTS= \n",df.loc[i, ['URL']])
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print("[+] ROW=",i,"ROW CONTENTS=", df.at[i, 'Name'], df.at[i, 'URL'])
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#print(df[0][i])
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print('\n[+] Iterate over the columns by their name:')
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columns = list(df)
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print(columns)
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print('\n[+] Iterate over the columns of the first row:')
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for i in columns:
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print('\nCOLUMN=',i)
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print('CONTENTS=',df[i][0])
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#print('[+] list the csv file by filtering a keyword and get all row IDs')
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#filterterm=input("[+] Filter the CSV file using a keyword (ex: DNM)")
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filterterm="Psy"
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filter_df = df[df.Name.str.contains(filterterm)]
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#print(filtered_df) # print all columns
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print(filter_df[['Name','URL']]) #print only 2 columns
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#print("\n[+] Number of Rows:", len(filter_df.index))
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#for index in filter_df.index:
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#print(index)
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index=-1
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while (index not in filter_df.index):
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#index=int(input("\n[+] Please select a valid row: "))
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index=int("12")
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print("ROW=",index, 'CONTENT=', filter_df.at[index, 'Name'], filter_df.at[index, 'URL'])
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print("\n[+] Adding a new row:")
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# ask for the following:
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#unverifiedpath=instancepath+'/unverified.csv'
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instance='uptime.nowherejezfoltodf4jiyl6r56jnzintap5vyjlia7fkirfsnfizflqd.onion'
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unverifiedpath='verified.csv'
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# the name of the website (required) + check if its valid
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# if the website name is "exit" then get out of the while loop
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#entry_name = input("What is the Website name ?")
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name="NewWebsite"
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category="TestCategory"
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# the url of the website (required) + check if its valid
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#entry_url = input("What is URL of the Website ? (ex: https://torproject.org or http://2gzyxa5ihm7nsggfxnu52rck2vv4rvmdlkiu3zzui5du4xyclen53wid.onion)")
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url="http://newwebsitewoidwajiawdhjoidwahjoadiwhj.onion"
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# a quick description (optional) + check if its valid
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#entry_desc = input("(Optional) Description of the website ? (max 256 characters) (press enter to skip)")
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desc="This is a new website that we add, it has this description"
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# sensitive ? (y/n) + check if its valid
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#entry_sensi = input("is it a sensitive website ? (ex: website related to drugs) (y/n)")
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sensi = "n"
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newrow=[instance,category,name,url,sensi,desc,'','']
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print("[+] NEWROW=",newrow)
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#add a new row (get all the new data you need first):
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df.loc[-1] = newrow # adding a row
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df.index = df.index + 1 # shifting index
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df = df.sort_index() # sorting by index
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print("[+] New row added! now writing the csv file:")
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df.to_csv(csvfile, index=False)
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print(df)
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print()
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###########
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# list every word in the blacklist wordlist csv file
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# for each word, check if it matches with any of the rows in unverified.csv
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# if it matches (on any column!), remove that row and write to the csv file
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# list every word in the sensitive wordlist csv file
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# if it matches (on any column!), mark the sensitive column as V
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if __name__ == '__main__':
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main()
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