138 lines
4.6 KiB
Python
138 lines
4.6 KiB
Python
import pdb
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"""
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Find make lists of #, *, @ words
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If only 1 hash word and nothing else, then it is token related ( tokencreation or tokentransfer )
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If @ is present, then we know it is smart contract related
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@ (#)pre: - participation , deposit
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@ * (#)pre: - one time event creation
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@ * (# #)post: - token swap creation
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@ - trigger
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Check for 1 @ only
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Check for 1 # only
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Check for @ (#)pre:
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Check for @ * (#)pre:
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Check for @ * (# #)post:
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special_character_frequency = {
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'precolon': {
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'#':0,
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'*':0,
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'@':0,
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':':0
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}
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for word in allList:
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if word.endswith('#'):
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special_character_frequency['#'] = special_character_frequency['#'] + 1
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elif word.endswith('*'):
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special_character_frequency['*'] = special_character_frequency['*'] + 1
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elif word.endswith('@'):
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special_character_frequency['@'] = special_character_frequency['@'] + 1
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elif word.endswith(':'):
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special_character_frequency[':'] = special_character_frequency[':'] + 1
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"""
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search_patterns = {
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'tokensystem-C':{
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1:['#']
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},
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'smart-contract-creation-C':{
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1:['@','*','#','$',':'],
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2:['@','*','#','$',':','#']
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},
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'smart-contract-participation-deposit-C':{
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1:['#','@',':'],
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2:['#','@','$',':']
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},
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'userchoice-trigger':{
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1:['@',':']
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},
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'smart-contract-participation-ote-ce-C':{
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1:['#','@'],
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2:['#','@','$']
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},
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'smart-contract-creation-ce-tokenswap':{
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1:['@','*','$',':','#','#']
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}
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}
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def extract_specialcharacter_words(rawstring, special_characters):
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wordList = []
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for word in rawstring.split(' '):
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if word[-1] in special_characters and (len(word) != 1 or word==":"):
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wordList.append(word)
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return wordList
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def find_first_classification(parsed_list, search_patterns):
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for first_classification in search_patterns.keys():
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counter = 0
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for key in search_patterns[first_classification].keys():
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if checkSearchPattern(parsed_list, search_patterns[first_classification][key]):
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return {'categorization':f"{first_classification}",'key':f"{key}",'pattern':search_patterns[first_classification][key]}
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return {'categorization':"noise"}
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def sort_specialcharacter_wordlist(inputlist):
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weight_values = {
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'@': 5,
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'*': 4,
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'#': 3,
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'$': 2
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}
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weightlist = []
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for word in inputlist:
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if word.endswith("@"):
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weightlist.append(5)
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elif word.endswith("*"):
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weightlist.append(4)
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elif word.endswith("#"):
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weightlist.append(4)
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elif word.endswith("$"):
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weightlist.append(4)
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def classify_rawstring(rawstring):
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specialcharacter_wordlist = extract_specialcharacter_words(rawstring,['@','*','$','#',':'])
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return find_first_classification(specialcharacter_wordlist, search_patterns)
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def checkSearchPattern(parsed_list, searchpattern):
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if len(parsed_list)!=len(searchpattern):
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return False
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else:
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for idx,val in enumerate(parsed_list):
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if not parsed_list[idx].endswith(searchpattern[idx]):
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return False
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return True
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def className(rawstring):
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# Create a list that contains @ , # , * and : ; in actual order of occurence with their words. Only : is allowed to exist without a word in front of it.
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# Check for 1 @ only followed by :, and the class is trigger
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# Check for 1 # only, then the class is tokensystem
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# Check for @ in the first position, * in the second position, # in the third position and : in the fourth position, then class is one time event creation
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# Check for @ in the first position, * in the second position and : in the third position, then hash is in 4th position, then hash in 5th position | Token swap creation
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allList = findrules(rawstring,['#','*','@',':'])
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pattern_list1 = ['rmt@','rmt*',':',"rmt#","rmt#"]
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pattern_list2 = ['rmt#',':',"rmt@"]
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pattern_list3 = ['rmt#']
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pattern_list4 = ["rmt@","one-time-event*","floAddress$",':',"rupee#","bioscope#"]
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patternmatch = find_first_classification(pattern_list4, search_patterns)
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print(f"Patternmatch is {patternmatch}")
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rawstring = "test rmt# rmt@ rmt* : rmt# rmt# test"
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#className(rawstring)
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text = 'Create Smart Contract with the name India-elections-2019@ of the type one-time-event* using the asset rmt# at the address F7osBpjDDV1mSSnMNrLudEQQ3cwDJ2dPR1$ with contract-conditions: (1) contractAmount=0.001rmt (2) userChoices=Narendra Modi wins| Narendra Modi loses (3) expiryTime= Wed May 22 2019 21:00:00 GMT+0530'
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print(classify_rawstring(text)) |