RanchiMall/flo-token-tracking
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This commit is contained in:
Vivek Teega 2022-01-08 19:31:54 +05:30
parent 07580c6502
commit 0b34ac38dc
1 changed files with 26 additions and 6 deletions
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30
input_classifier.py
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@ -524,6 +524,20 @@ def extractAmount_rule(text):
return None return None
def extractAmount_rule_new(text):
base_units = {'thousand': 10 ** 3, 'k': 10 ** 3, 'million': 10 ** 6, 'm': 10 ** 6, 'billion': 10 ** 9, 'b': 10 ** 9, 'trillion': 10 ** 12, 'lakh':10 ** 5, 'crore':10 ** 7, 'quadrillion':10 ** 15}
amount_tuple = re.findall(r'\b([.\d]+)\s*(thousand|million|billion|trillion|m|b|t|k|lakh|crore|quadrillion)*\b', text)
if len(amount_tuple) > 1 or len(amount_tuple) == 0:
return False
else:
amount_tuple_list = list(amount_tuple[0])
extracted_amount = float(amount_tuple_list[0])
extracted_base_unit = amount_tuple_list[1]
if extracted_base_unit in base_units.keys():
extracted_amount = float(extracted_amount) * base_units[extracted_base_unit]
return extracted_amount
def findWholeWord(w): def findWholeWord(w):
return re.compile(r'\b({0})\b'.format(w), flags=re.IGNORECASE).search return re.compile(r'\b({0})\b'.format(w), flags=re.IGNORECASE).search
@ -636,7 +650,7 @@ text_list = [
] ]
text_list1 = [ text_list1 = [
"create rmt# 5000" "CReate __rMt# 200crOre hello vivek "
] ]
def super_main_function(text): def super_main_function(text):
@ -646,10 +660,17 @@ def super_main_function(text):
if first_classification['categorization'] == 'tokensystem-C': if first_classification['categorization'] == 'tokensystem-C':
# Resolving conflict for 'tokensystem-C' # Resolving conflict for 'tokensystem-C'
tokenamount = apply_rule1(extractAmount_rule, processed_text) tokenname = first_classification['wordlist'][0][:-1]
if not check_regex("^[A-Za-z][A-Za-z0-9_-]*[A-Za-z0-9]$", tokenname):
return outputreturn('noise')
tokenamount = apply_rule1(extractAmount_rule_new, processed_text)
if not tokenamount:
return outputreturn('noise')
operation = apply_rule1(selectCategory, processed_text, category1, category2) operation = apply_rule1(selectCategory, processed_text, category1, category2)
if operation == 'category1' and tokenamount is not None: if operation == 'category1' and tokenamount is not None:
return outputreturn('token_transfer',f"{processed_text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}") return outputreturn('token_transfer',f"{processed_text}", f"{tokenname}", f"{tokenamount}")
elif operation == 'category2' and tokenamount is not None: elif operation == 'category2' and tokenamount is not None:
return outputreturn('token_incorporation',f"{processed_text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}") return outputreturn('token_incorporation',f"{processed_text}", f"{first_classification['wordlist'][0][:-1]}", f"{tokenamount}")
else: else:
@ -706,8 +727,7 @@ def super_main_function(text):
else: else:
return outputreturn('one-time-event-time-smartcontract-incorporation',f"{contract_token}", f"{contract_name}", f"{contract_address}", f"{original_text}", f"{contract_conditions['contractAmount']}", f"{minimum_subscription_amount}" , f"{maximum_subscription_amount}", f"{contract_conditions['payeeAddress']}", f"{contract_conditions['expiryTime']}") return outputreturn('one-time-event-time-smartcontract-incorporation',f"{contract_token}", f"{contract_name}", f"{contract_address}", f"{original_text}", f"{contract_conditions['contractAmount']}", f"{minimum_subscription_amount}" , f"{maximum_subscription_amount}", f"{contract_conditions['payeeAddress']}", f"{contract_conditions['expiryTime']}")
else: return outputreturn('noise')
return outputreturn('noise')
for text in text_list1: for text in text_list1: