1.0.3 Token creation and transfer classification
This commit is contained in:
Vivek Teega
parent
99f089152c
commit
8f49bfd610
@ -106,6 +106,8 @@ conflict_matrix = {
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}
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}
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# HELPER FUNCTIONS
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# Find some value or return as noise
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def apply_rule1(*argv):
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a = argv[0](*argv[1:])
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@ -115,6 +117,132 @@ def apply_rule1(*argv):
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return a
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def outputreturn(*argv):
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if argv[0] == 'noise':
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parsed_data = {'type': 'noise'}
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return parsed_data
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elif argv[0] == 'token_incorporation':
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parsed_data = {
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'type': 'tokenIncorporation',
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'flodata': argv[1], #string
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'tokenIdentification': argv[2], #hashList[0][:-1]
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'tokenAmount': argv[3] #initTokens
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}
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return parsed_data
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elif argv[0] == 'token_transfer':
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parsed_data = {
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'type': 'transfer',
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'transferType': 'token',
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'flodata': argv[1], #string
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'tokenIdentification': argv[2], #hashList[0][:-1]
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'tokenAmount': argv[3] #amount
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}
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return parsed_data
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elif argv[0] == 'one-time-event-userchoice-smartcontract-incorporation':
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parsed_data = {
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'type': 'smartContractIncorporation',
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'contractType': 'one-time-event',
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'tokenIdentification': argv[1], #hashList[0][:-1]
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'contractName': argv[2], #atList[0][:-1]
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'contractAddress': argv[3], #contractaddress[:-1]
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'flodata': argv[4], #string
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'contractConditions': {
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'contractamount' : argv[5],
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'minimumsubscriptionamount' : argv[6],
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'maximumsubscriptionamount' : argv[7],
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'payeeaddress' : argv[8],
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'userchoice' : argv[9],
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'expiryTime' : argv[10]
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}
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}
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return parsed_data
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elif argv[0] == 'one-time-event-userchoice-smartcontract-participation':
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parsed_data = {
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'type': 'transfer',
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'transferType': 'smartContract',
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'flodata': argv[1], #string
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'tokenIdentification': argv[2], #hashList[0][:-1]
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'operation': 'transfer',
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'tokenAmount': argv[3], #amount
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'contractName': argv[4], #atList[0][:-1]
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'userChoice': argv[5] #userChoice
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}
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return parsed_data
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elif argv[0] == 'one-time-event-userchoice-smartcontract-trigger':
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parsed_data = {
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'type': 'smartContractPays',
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'contractName': argv[1], #atList[0][:-1]
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'triggerCondition': argv[2] #triggerCondition.group().strip()[1:-1]
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}
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return parsed_data
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elif argv[0] == 'one-time-event-time-smartcontract-incorporation':
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parsed_data = {
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'type': 'smartContractIncorporation',
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'contractType': 'one-time-event',
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'tokenIdentification': argv[1], #hashList[0][:-1]
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'contractName': argv[2], #atList[0][:-1]
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'contractAddress': argv[3], #contractaddress[:-1]
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'flodata': argv[4], #string
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'contractConditions': {
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'contractamount' : argv[5],
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'minimumsubscriptionamount' : argv[6],
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'maximumsubscriptionamount' : argv[7],
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'payeeaddress' : argv[8],
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'expiryTime' : argv[9]
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}
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}
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return parsed_data
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elif argv[0] == 'one-time-event-time-smartcontract-participation':
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parsed_data = {
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'type': 'transfer',
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'transferType': 'smartContract',
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'flodata': argv[1], #string
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'tokenIdentification': argv[2], #hashList[0][:-1]
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'operation': 'transfer',
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'tokenAmount': argv[3], #amount
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'contractName': argv[4] #atList[0][:-1]
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}
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return parsed_data
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elif argv[0] == 'continuos-event-token-swap-incorporation':
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parsed_data = {
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'type': 'smartContractIncorporation',
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'contractType': 'continuos-event',
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'tokenIdentification': argv[1], #hashList[0][:-1]
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'contractName': argv[2], #atList[0][:-1]
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'contractAddress': argv[3], #contractaddress[:-1]
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'flodata': argv[4], #string
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'contractConditions': {
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'subtype' : argv[5], #tokenswap
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'accepting_token' : argv[6],
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'selling_token' : argv[7],
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'pricetype' : argv[8],
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'price' : argv[9],
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}
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}
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return parsed_data
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elif argv[0] == 'continuos-event-token-swap-deposit':
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parsed_data = {
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'type': 'smartContractDeposit',
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'tokenIdentification': argv[1], #hashList[0][:-1]
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'depositAmount': argv[2], #depositAmount
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'contractName': argv[3], #atList[0][:-1]
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'flodata': argv[4], #string
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'depositConditions': {
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'expiryTime' : argv[5]
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}
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}
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return parsed_data
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elif argv[0] == 'continuos-event-token-swap-participation':
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parsed_data = {
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'type': 'smartContractParticipation',
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'tokenIdentification': argv[1], #hashList[0][:-1]
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'tokenAmount': argv[2], #tokenAmount
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'contractName': argv[3], #atList[0][:-1]
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'flodata': argv[4] #string
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}
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return parsed_data
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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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@ -152,7 +280,7 @@ def sort_specialcharacter_wordlist(inputlist):
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weightlist.append(4)
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def classify_rawstring(rawstring):
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def firstclassification_rawstring(rawstring):
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specialcharacter_wordlist = extract_specialcharacter_words(rawstring,['@','*','$','#',':'])
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first_classification = find_first_classification(specialcharacter_wordlist, search_patterns)
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return first_classification
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@ -198,7 +326,55 @@ def extractAmount_rule(text):
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return None
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def selectCateogry(rawstring, wordlist, category1, category2):
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def findWholeWord(w):
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return re.compile(r'\b({0})\b'.format(w), flags=re.IGNORECASE).search
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category1 = ['transfer', 'send', 'give'] # keep everything lowercase
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category2 = ['incorporate', 'create', 'start'] # keep everything lowercase
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def truefalse_rule2(rawstring, permitted_list, denied_list):
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# Find transfer , send , give
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foundPermitted = None
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foundDenied = None
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for word in permitted_list:
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if findWholeWord(word)(rawstring):
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foundPermitted = word
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break
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for word in denied_list:
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if findWholeWord(word)(rawstring):
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foundDenied = word
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break
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if (foundPermitted is not None) and (foundDenied is None):
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return True
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else:
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return False
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def selectCateogry(rawstring, category1, category2):
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foundCategory1 = None
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foundCategory2 = None
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for word in category1:
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if findWholeWord(word)(rawstring):
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foundCategory1 = word
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break
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for word in category2:
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if findWholeWord(word)(rawstring):
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foundCategory2 = word
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break
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if ((foundCategory1 is not None) and (foundCategory2 is not None)) or ((foundCategory1 is None) and (foundCategory2 is None)):
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return False
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elif foundCategory1 is not None:
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return 'category1'
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elif foundCategory2 is not None:
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return 'category2'
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def text_preprocessing(text):
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@ -244,8 +420,17 @@ text_list1 = [
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for text in text_list1:
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text = text_preprocessing(text)
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first_classification = classify_rawstring(text)
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first_classification = firstclassification_rawstring(text)
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parsed_data = None
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if first_classification['categorization'] == 'tokensystem-C':
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amount = apply_rule1(extractAmount_rule,text)
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operation = apply_rule1()
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pdb.set_trace()
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tokenamount = apply_rule1(extractAmount_rule,text)
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operation = apply_rule1(selectCateogry, text, category1, category2)
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if operation == 'category1':
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parsed_data = outputreturn('token_transfer',f"{text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}")
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elif operation == 'category2':
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parsed_data = outputreturn('token_incorporation',f"{text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}")
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else:
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parsed_data = outputreturn('noise')
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print(parsed_data)
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