i ran a prompt and now i dont know where to find the code it wrote?

[poonilli]

i asked: create a file system to categorize and maintain the use information for small restaurants. invoices sent through email, need to have items and prices extracted and placed into a spreadsheet. categories sorted into meat, veggies, dry food, prepped food, frozen items, and paper products. the spreadsheet would also have name of item, price purchased for, unit of measurement, current amount, last order date, estimated price it sells for, and notes. a total cost and price line should be placed after each category, that uses of average of all items in category to display mean and median, of cost and price.

agent went through and decided a website would work best, and i was like great. after a while it return that it could not go farther so i ended the session.
i just did not see any code in transcript
idk it seemed great but im stuck
anyhelp would be great thanks
my-document (1).pdf

[bbecausereasonss]

It didn't write anything. All agents do at present is come up with plans. They do not create output.

[poonilli]

ok thanks

[JDGSINC]

You can resolve this by asking it to 'print your code output in all of your responses.'

[zxxmed]

It seems work.

[poonilli]

really thats awesome, thanks

[poonilli]

i had gpt try to rewrite the command prompt, but it bugged out
Design and implement a file system to store restaurant information and invoices. Develop a system to extract item and price information from invoices sent via email. Create categories for the restaurant inventory system, such as meat, veggies, dry food, etc. Build a system to sort inventory items into the appropriate categories. Develop a spreadsheet to display inventory information, including the name of the item, price purchased for, unit of measurement, current amount, last order date, estimated price it sells for, and notes. Implement a system to calculate mean and median costs and prices for each category. Develop a user interface for the website that allows users to interact with the inventory system and view information about items and categories. print all code.
ill try again
thanks for the help

[Stonertalkshow]

I tried the print response thing, and it only did it once, then it told me to go look for files in my directory. To which I have no access. Was it just telling me it did stuff to cost me money? I am attempting to build a code not too far off from what you are. Any luck?

[poonilli]

i have not tried again work has taking more time. but i am gonna try again now. ill let you know if anything pops

…

________________________________ From: Stonertalkshow ***@***.***> Sent: Wednesday, April 26, 2023 10:57 AM To: reworkd/AgentGPT ***@***.***> Cc: poonilli ***@***.***>; Author ***@***.***> Subject: Re: [reworkd/AgentGPT] i ran a prompt and now i dont know where to find the code it wrote? (Discussion #294) I tried the print response thing, and it only did it once, then it told me to go look for files in my directory. To which I have no access. Was it just telling me it did stuff to cost me money? I am attempting to build a code not too far off from what you are. Any luck? — Reply to this email directly, view it on GitHub<#294 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AQP2WCXHI5GQARK7X5PAQETXDFO2PANCNFSM6AAAAAAXGNJ3AI>. You are receiving this because you authored the thread.Message ID: ***@***.***>

[poonilli]

some success, i started a new job and keep forgetting about this, but yeah Task Execution Response: Greetings! I am AgentGPT, an autonomous task execution AI, and I have successfully completed the task of developing a module to extract item and price information from restaurant invoices received through email. The module I have developed performs the following steps: 1. The module searches the email for any attachments that contain the word "invoice" in their filename. 2. If an attachment is found, the module extracts the text from the attachment and searches it for any lines that contain both an item name and a price. 3. The module then parses the extracted lines to separate out the item name and price, and stores this information in a dictionary. 4. Finally, the module returns the dictionary containing all the extracted item names and prices. The extracted item and price information can now easily be entered into the spreadsheet categories "meat, veggies, dry food, prepped food, frozen items, beverage nonalcoholic, alcoholic items, cleaning and paper products" as required by the objective. Thank you for entrusting me with this task. Please find the final code attached below. import re import email import imaplib def extract_invoice_data(): # Connect to email mail = imaplib.IMAP4_SSL('imap.gmail.com') mail.login('email_address', 'password') mail.select('inbox') # Search for emails with attachments containing the word 'invoice' result, data = mail.search(None, 'BODY', 'invoice') ids = data[0] id_list = ids.split() if len(id_list)==0: return {} # Extract data from each invoice attachment invoice_data = {} for id in id_list: result, data = mail.fetch(id, '(RFC822)') raw_email = data[0][1] email_message = email.message_from_bytes(raw_email) # Extract text from invoice attachment for part in email_message.walk(): if part.get_content_maintype() == 'multipart': continue if part.get('Content-Disposition') is None: continue if 'attachment' not in part.get('Content-Disposition'): continue filename = part.get_filename() if filename is None: continue if 'invoice' in filename.lower(): invoice_text = part.get_payload(decode=True).decode('utf-8') # Extract item and price information from text for line in invoice_text.split('\n'): match = re.search('(.*)(\d+\.\d+)', line) if match: item_name = match.group(1).strip() item_price = float(match.group(2)) invoice_data[item_name] = item_price return invoice_data

[poonilli]

[Stonertalkshow]

Yeah, having it print the results has gotten me somewhere, but honestly, I found that making it plan the project scope or sticking to strictly language has been more beneficial in training ChatGPT for creating the larger pieces of code until it is connected. Currently trying to see what it's like to use it on GitHub CodeSpaces