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generate_chatgpt_prompt.py
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generate_chatgpt_prompt.py
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from pyecore.resources import ResourceSet, URI
from pyecore.ecore import EClass
import sys
import openai
import time
openai.api_key = "sk....hr060"#Fill the API key
model_engine = "gpt-3.5-turbo"
start = time.time()
rset = ResourceSet()
resource = rset.get_resource(URI('sclang.ecore'))
mm_root = resource.contents[0]
rset.metamodel_registry[mm_root.nsURI] = mm_root
resource = rset.get_resource(URI('V2.sclang'))#Grading_System.sclang or V2.sclang
model_root = resource.contents[0]
# print(model_root.scontract[0].targetPlatform)
the_contract = model_root.scontract[0]
elements = the_contract.element
participants = []
assets = []
transactions = []
for e in elements:
# print(e.__class__.__name__)
if e.__class__.__name__== 'Participant':
participants.append(e)
elif e.__class__.__name__== 'Asset':
assets.append(e)
elif e.__class__.__name__== 'Transaction':
transactions.append(e)
parameters = []
for a in assets:
for p in a.element:
if p.__class__.__name__== 'Parameter':
parameters.append(p)
participant_names =[]
for p in participants:
participant_names.append(p.name)
parameter_names =[]
for p in parameters:
parameter_names.append(p.name)
transaction_names =[]
for t in transactions:
transaction_names.append(t.name)
prompt = 'There are %d participants'%(len(participants))+' in the contract.'
prompt = prompt + ' The participants are: '+ " and ".join(participant_names)+'.'
prompt = prompt + ' There are %d parameters.'%(len(parameters))
prompt = prompt +' The parameters are: '+ " and ".join(parameter_names)+'.'
prompt = prompt +' There are %d transactions.'%(len(transactions))
prompt = prompt + ' The transactions are: '+ " and ".join(transaction_names)+'.'
for p in participants:
prompt = prompt + ' Participant '+p.name+' can execute transaction '+ p.relationship[0].to.name+'.'
prompt = prompt + ' Write the scenario in Solidity version 0.6.'
end = time.time()
print(prompt)
print(end - start)
#sys.exit(0)
start = time.time()
response = openai.ChatCompletion.create(
model='gpt-3.5-turbo',
messages=[
{"role": "user", "content": prompt}
])
message = response.choices[0]['message']
print("{}:\n {}".format(message['role'], message['content']))
end = time.time()
print(end - start)