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rfcMethod.py
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rfcMethod.py
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import importlib
import json
import more_itertools
import pyrfc
import threading
import queue
import time
import pythonAbapInterface
from chatGptWrapper import ChatGPT
class Test:
def __init__(self, conn, functionName, importParameters, exportParameters, saveTo) -> None:
self.conn = conn
self.functionName = functionName
self.importParameters = importParameters
self.exportParameters = exportParameters
self.saveTo = saveTo
self.saveTo["functionCalls"] = []
def callFunction(self, *args):
callParams = buildAbapImportParameters(args, self.importParameters)
result = pythonAbapInterface.callFunctionModule(self.conn, self.functionName, callParams)
self.saveTo["functionCalls"].append(result)
if len(result) > 0:
result = result[list(result)[0]]
return result
class AbapVariable:
def __init__(self, abapCodeLine: str) -> None:
self.varName = abapCodeLine.split(" ")[0].replace("VALUE(", "").replace(")", "").upper().removesuffix(".")
self.varType = " ".join(" ".join(abapCodeLine.split()).split()[2:]).upper().removesuffix(".")
class ChatGPTRequest():
def __init__(self, systemPrompt, promptOption, temperature, promptNumber) -> None:
self.systemPrompt = systemPrompt
self.promptOption = promptOption
self.temperature = temperature
self.promptNumber = promptNumber
class ChatGPTResponse():
def __init__(self, request: ChatGPTRequest, chatgptResponse: list[str]) -> None:
self.request: ChatGPTRequest = request
self.chatgptResponse: list[str] = chatgptResponse
def __str__(self) -> str:
return self.request.systemPrompt + " " + self.request.promptOption + " " + str(self.request.temperature) + " " + str(self.request.promptNumber) + " " + self.chatgptResponse
def parseAbapFunctionInterface(chatgptResponse: list[str]):
interface = [line for line in chatgptResponse if line.startswith("*")]
interface = [line.replace("*\"", "").strip() for line in interface]
interface = [line for line in interface if line.strip("-")]
imports = []
exports = []
state = None
for line in interface:
if(line == "IMPORTING" or line == "EXPORTING"):
state = line
continue
if state == "IMPORTING":
imports.append(line)
elif state == "EXPORTING":
exports.append(line)
importVariables = [AbapVariable(line) for line in imports]
exportVariables = [AbapVariable(line) for line in exports]
importParameters = [{"PARAMETER": parameter.varName, "TYP": parameter.varType} for parameter in importVariables]
exportParameters = [{"PARAMETER": parameter.varName, "TYP": parameter.varType} for parameter in exportVariables]
return importParameters, exportParameters
def buildAbapImportParameters(params, importParameters):
callParams = {}
smaller = len(params) if len(params) <= len(importParameters) else len(importParameters)
for index in range(0, smaller):
key = list(importParameters)[index]
callParams[key["PARAMETER"]] = params[index]
return callParams
def getPrompt(folderPath: str, promptNumber: int):
with open(folderPath + str(promptNumber) + ".txt") as file:
prompt = file.read()
return prompt
def extractAbapFunctionInformation(chatgptResponse: list[str]):
functionName = chatgptResponse[0].split()[1].upper().removesuffix(".")
importParameters, exportParameters = parseAbapFunctionInterface(chatgptResponse)
programcode = [line for line in chatgptResponse if not line.startswith("*")]
programcode = programcode[1:] if programcode[0].startswith("FUNCTION") else programcode
programcode = programcode[:-1] if programcode[-1].startswith("ENDFUNCTION.") else programcode
return functionName, importParameters, exportParameters, programcode
def askChatGptForPromptsSingleThread(savefilename: str, threadId: int, openaiModel: str, requestList: list[ChatGPTRequest], q: queue.Queue):
if savefilename.endswith(".json"): savefilename = savefilename.removesuffix(".json")
progressCounter = 0
saveDict = {}
for request in requestList:
chatgpt = ChatGPT(systemMessage=request.systemPrompt, temperature=request.temperature, model=openaiModel)
if request.systemPrompt not in saveDict:
saveDict[request.systemPrompt] = {}
if str(request.temperature) not in saveDict[request.systemPrompt]:
saveDict[request.systemPrompt][str(request.temperature)] = {}
if request.promptOption not in saveDict[request.systemPrompt][str(request.temperature)]:
saveDict[request.systemPrompt][str(request.temperature)][request.promptOption] = {}
if str(request.promptNumber) not in saveDict[request.systemPrompt][str(request.temperature)][request.promptOption]:
saveDict[request.systemPrompt][str(request.temperature)][request.promptOption][str(request.promptNumber)] = {}
if "attempts" not in saveDict[request.systemPrompt][str(request.temperature)][request.promptOption][str(request.promptNumber)]:
saveDict[request.systemPrompt][str(request.temperature)][request.promptOption][str(request.promptNumber)]["attempts"] = []
prompt = getPrompt(request.promptOption, request.promptNumber)
saveDict[request.systemPrompt][str(request.temperature)][request.promptOption][str(request.promptNumber)]["prompt"] = prompt
saveTo = {}
chatgptResponse = None
tries = 0
while chatgptResponse == None and tries < 10:
try:
chatgptResponse = chatgpt.askWithoutContext(prompt).split("\n")
except Exception:
chatgptResponse = None
print("Thread", threadId, "crashed", tries, "times, retrying in 5 seconds")
tries += 1
time.sleep(5)
saveTo["chatgptResponse"] = chatgptResponse
saveDict[request.systemPrompt][str(request.temperature)][request.promptOption][str(request.promptNumber)]["attempts"].append(saveTo)
progressCounter += 1
print("Thread " + str(threadId) + " Progress " + str(progressCounter) + "/" + str(len(requestList)))
if (progressCounter.__mod__(50) == 0):
with open("backup/" + savefilename + " thread" + str(threadId) + " progress" + str(progressCounter) + ".json", "w") as file:
file.write(json.dumps(saveDict, indent=4))
time.sleep(5)
with open("backup/" + savefilename + " thread" + str(threadId) + " progress" + str(progressCounter) + ".json", "w") as file:
file.write(json.dumps(saveDict, indent=4))
q.put(saveDict)
def askChatGptForPromptsMultithreaded(savefilename: str, systemPrompts, promptOptions, temperatures, openaiModel, promptNumbers: list[int], numRepeats: int, numThreads: int):
saveDict = {}
requests: list[ChatGPTRequest] = []
# initialize dict
for systemPrompt in systemPrompts:
saveDict[systemPrompt] = {}
for temperature in temperatures:
saveDict[systemPrompt][str(temperature)] = {}
for promptOption in promptOptions:
saveDict[systemPrompt][str(temperature)][promptOption] = {}
for promptNumber in promptNumbers:
saveDict[systemPrompt][str(temperature)][promptOption][str(promptNumber)] = {}
prompt = getPrompt(promptOption, promptNumber)
saveDict[systemPrompt][str(temperature)][promptOption][str(promptNumber)]["prompt"] = prompt
saveDict[systemPrompt][str(temperature)][promptOption][str(promptNumber)]["attempts"] = []
for repeat in range(0, numRepeats):
requests.append(ChatGPTRequest(systemPrompt, promptOption, temperature, promptNumber))
# calculate which thread does what
numAllIterations = len(systemPrompts) * len(promptOptions) * len(temperatures) * len(promptNumbers) * numRepeats
numThreads = min(numThreads, numAllIterations)
print("distributing", numAllIterations, "prompts to", numThreads, "threads")
threadLists = [list(i) for i in more_itertools.divide(numThreads, requests)]
# print(len(threadLists))
# for thread in threadLists:
# print(thread)
# for item in thread:
# print(item)
# start threads
q = queue.Queue()
pool = []
for index, requestList in enumerate(threadLists):
print("creating thread " + str(index))
t = threading.Thread(target=askChatGptForPromptsSingleThread, args=(savefilename, index, openaiModel, requestList, q))
t.start()
pool.append(t)
# save thread data
for index, t in enumerate(pool):
t.join()
response = q.get()
responseSystemPrompts = list(response.keys())
for responseSystemPrompt in responseSystemPrompts:
responseTemperatures = list(response[responseSystemPrompt].keys())
for responseTemperature in responseTemperatures:
responsePromptOptions = list(response[responseSystemPrompt][responseTemperature].keys())
for responsePromptOption in responsePromptOptions:
responsePromptNums = list(response[responseSystemPrompt][responseTemperature][responsePromptOption].keys())
for responsePromptNum in responsePromptNums:
responseAttempts = response[responseSystemPrompt][responseTemperature][responsePromptOption][responsePromptNum]["attempts"]
# print(responseAttempts)
for attempt in responseAttempts:
saveDict[responseSystemPrompt][str(responseTemperature)][responsePromptOption][responsePromptNum]["attempts"].append(attempt)
with open(savefilename, "w") as file:
file.write(json.dumps(saveDict, indent=4))
def runSavedFunctions(loadfilename: str, savefilename: str):
if savefilename.endswith(".json"): savefilename = savefilename.removesuffix(".json")
with open(loadfilename) as file:
prompts = json.loads(file.read())
with open("saplogonLoginDetails - local.json", "r") as file:
connection_params = json.loads(file.read())
progressCounter = 0
for systemPromptIndex, systemPrompt in enumerate(prompts):
for tempIndex, temperature in enumerate(prompts[systemPrompt]):
for promptOptionIndex, promptOption in enumerate(prompts[systemPrompt][temperature]):
for promptNumber in prompts[systemPrompt][temperature][promptOption]:
for attemptNr, attempt in enumerate(prompts[systemPrompt][temperature][promptOption][promptNumber]["attempts"]):
currentAttempt = prompts[systemPrompt][temperature][promptOption][promptNumber]["attempts"][attemptNr]
progressCounter += 1
print("Progress: ", str(progressCounter), "/", str(len(prompts) *
len(prompts[systemPrompt]) *
len(prompts[systemPrompt][temperature]) *
len(prompts[systemPrompt][temperature][promptOption]) *
len(prompts[systemPrompt][temperature][promptOption][promptNumber]["attempts"])))
if "functionname" not in currentAttempt:
try:
functionName, importParameters, exportParameters, programcode = extractAbapFunctionInformation(currentAttempt["chatgptResponse"])
except Exception as e:
functionName, importParameters, exportParameters, programcode = "defaultFunctionName", "", "", ""
print(e)
currentAttempt["functionname"] = functionName
currentAttempt["importParameters"] = importParameters
currentAttempt["exportParameters"] = exportParameters
currentAttempt["programcode"] = programcode
with pyrfc.Connection(**connection_params) as conn:
functionCreated = pythonAbapInterface.createFunctionModule(conn,
currentAttempt["functionname"],
currentAttempt["importParameters"],
currentAttempt["exportParameters"],
currentAttempt["programcode"])
currentAttempt["functionCreated"] = functionCreated
time.sleep(1)
testModule = importlib.import_module("adjustedTests.test" + str(promptNumber))
passed, failed = testModule.check(Test(conn,
currentAttempt["functionname"],
currentAttempt["importParameters"],
currentAttempt["exportParameters"],
currentAttempt).callFunction)
currentAttempt["passed"] = passed
currentAttempt["failed"] = failed
currentAttempt["tests"] = passed+failed
print(f"Prompt {promptNumber} Attempt {attemptNr}: {passed} out of {passed+failed} unit-tests were successful")
with pyrfc.Connection(**connection_params) as conn:
pythonAbapInterface.deleteFunctionModule(conn, currentAttempt["functionname"])
prompts[systemPrompt][str(temperature)][promptOption][str(promptNumber)]["attempts"][attemptNr] = currentAttempt
if (progressCounter.__mod__(50) == 0):
with open("backup/" + savefilename + " progress" + str(progressCounter) + ".json", "w") as file:
file.write(json.dumps(prompts, indent=4))
with open(savefilename + ".json", "w") as file:
file.write(json.dumps(prompts, indent=4))