kenken999 commited on
Commit
a61be63
1 Parent(s): c70e432
chat_history.db CHANGED
Binary files a/chat_history.db and b/chat_history.db differ
 
controllers/gpt_enginner20240624105436/.gpteng/memory/logs/gen_entrypoint_chat.txt ADDED
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+
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+ 2024-06-24T10:54:49.207524
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+ ================================ System Message ================================
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+
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+ You will get information about a codebase that is currently on disk in the current folder.
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+ The user will ask you to write a script that runs the code in a specific way.
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+ You will answer with code blocks that include all the necessary terminal commands.
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+ Do not install globally. Do not use sudo.
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+ Do not explain the code, just give the commands.
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+ Do not use placeholders, use example values (like . for a folder argument) if necessary.
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+
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+
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+ ================================ Human Message =================================
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+
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+
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+ Make a unix script that
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+ a) installs dependencies
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+ b) runs all necessary parts of the codebase (in parallel if necessary)
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+
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+ Information about the codebase:
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+
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+ ```
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+ File: requirements.txt
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+ 1 django
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+ 2 fastapi
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+ 3 gradio
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+ 4 google-api-python-client
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+
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+ File: app/models.py
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+ 1 from django.db import models
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+ 2
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+ 3 class Diamond(models.Model):
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+ 4 carat = models.DecimalField(max_digits=5, decimal_places=2)
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+ 5 cut = models.CharField(max_length=50)
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+ 6 color = models.CharField(max_length=50)
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+ 7 clarity = models.CharField(max_length=50)
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+ 8 depth = models.DecimalField(max_digits=5, decimal_places=2)
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+ 9
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+ 10 class BrandProduct(models.Model):
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+ 11 brand_name = models.CharField(max_length=50)
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+ 12 model_name = models.CharField(max_length=50)
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+ 13 type_number = models.CharField(max_length=50)
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+ 14 purchase_store = models.CharField(max_length=50)
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+ 15 purchase_date = models.DateField()
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+ 16 purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
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+ 17 accessories = models.TextField()
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+ 18 condition = models.CharField(max_length=50)
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+
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+ File: app/views.py
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+ 1 from django.shortcuts import render
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+ 2 from .models import Diamond, BrandProduct
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+ 3 from fastapi import FastAPI
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+ 4
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+ 5 app = FastAPI()
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+ 6
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+ 7 @app.get("/diamonds/")
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+ 8 def get_diamonds():
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+ 9 diamonds = Diamond.objects.all()
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+ 10 return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
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+ 11
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+ 12 @app.get("/brand_products/")
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+ 13 def get_brand_products():
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+ 14 brand_products = BrandProduct.objects.all()
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+ 15 return {"brand_products": [{"id": bp.id, "brand_name": bp.brand_name, "model_name": bp.model_name, "type_number": bp.type_number, "purchase_store": bp.purchase_store, "purchase_date": bp.purchase_date, "purchase_price": bp.purchase_price, "accessories": bp.accessories, "condition": bp.condition} for bp in brand_products]}
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+
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+ File: router.py
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+ 1 from fastapi import FastAPI, APIRouter
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+ 2 from app.views import app as django_app
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+ 3
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+ 4 router = APIRouter()
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+ 5
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+ 6 @router.get("/api/diamonds/")
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+ 7 def get_diamonds():
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+ 8 return django_app.get_diamonds()
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+ 9
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+ 10 @router.get("/api/brand_products/")
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+ 11 def get_brand_products():
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+ 12 return django_app.get_brand_products()
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+
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+ File: gradio_app.py
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+ 1 import gradio as gr
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+ 2
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+ 3 def get_diamond_form():
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+ 4 with gr.Row():
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+ 5 carat = gr.Number(value=1.0, label="Carat")
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+ 6 cut = gr.Textbox(label="Cut")
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+ 7 color = gr.Textbox(label="Color")
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+ 8 clarity = gr.Textbox(label="Clarity")
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+ 9 depth = gr.Number(value=1.0, label="Depth")
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+ 10 return [carat, cut, color, clarity, depth]
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+ 11
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+ 12 def get_brand_product_form():
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+ 13 with gr.Row():
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+ 14 brand_name = gr.Textbox(label="Brand Name")
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+ 15 model_name = gr.Textbox(label="Model Name")
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+ 16 type_number = gr.Textbox(label="Type Number")
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+ 17 purchase_store = gr.Textbox(label="Purchase Store")
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+ 18 purchase_date = gr.DatePicker(label="Purchase Date")
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+ 19 purchase_price = gr.Number(value=1000.0, label="Purchase Price")
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+ 20 accessories = gr.Textbox(label="Accessories")
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+ 21 condition = gr.Textbox(label="Condition")
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+ 22 return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
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+ 23
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+ 24 gr_interface = gr.Interface(
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+ 25 fn=None,
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+ 26 inputs=[get_diamond_form(), get_brand_product_form()],
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+ 27 outputs="text",
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+ 28 title="Diamond and Brand Product Appraisal",
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+ 29 description="Please fill in the required information for appraisal."
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+ 30 )
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+ 31 gr_interface.launch()
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+
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+ File: Code.gs
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+ 1 function doPost(e) {
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+ 2 var data = e.postData.contents;
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+ 3 var diamond = JSON.parse(data).diamond;
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+ 4 var brandProduct = JSON.parse(data).brandProduct;
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+ 5 // Process appraisal logic here
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+ 6 var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
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+ 7 return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
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+ 8 }
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+
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+ File: sequence_diagram.puml
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+ 1 @startuml
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+ 2 participant User as U
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+ 3 participant GradioApp as GA
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+ 4 participant GoogleAppsScript as GAS
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+ 5 participant BackendScript as BS
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+ 6
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+ 7 U -> GA: Fill in appraisal form
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+ 8 GA -> GAS: Submit form data
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+ 9 GAS -> BS: POST request with form data
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+ 10 BS -> BS: Process appraisal logic
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+ 11 BS -> GAS: Return appraisal result
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+ 12 GAS -> GA: Display appraisal result
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+ 13 GA -> U: Show appraisal result
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+ 14 @enduml
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+
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+ File: program_description.md
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+ 1 # Diamond and Brand Product Appraisal System
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+ 2
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+ 3 This system allows users to fill in a form with information about a diamond or brand product, and then submits the form data to a backend script for appraisal. The appraisal result is then displayed to the user.
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+ 4
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+ 5 The system consists of the following components:
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+ 6
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+ 7 * A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
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+ 8 * A Google Apps Script frontend that handles the form submission and communicates with the backend script
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+ 9 * A backend script that processes the appraisal logic and returns the result
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+ 10 * A Django app that provides the API for the backend script to interact with
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+ 11
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+ 12 The system uses the following technologies:
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+ 13
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+ 14 * Gradio for the frontend
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+ 15 * Google Apps Script for the frontend and backend communication
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+ 16 * Django for the backend API
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+ 17 * FastAPI for the router
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+ 18 * Python for the backend script
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+
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+ ```
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+
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+ ================================== Ai Message ==================================
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+
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+ Here is a Unix script that installs dependencies and runs the necessary parts of the codebase:
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+
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+ ```bash
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+ #!/bin/bash
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+
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+ # Install dependencies
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+ pip install -r requirements.txt
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+
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+ # Run Django migrations
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+ python manage.py migrate
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+
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+ # Run FastAPI app
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+ uvicorn router:router --host 0.0.0.0 --port 8000 &
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+
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+ # Run Gradio app
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+ python gradio_app.py &
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+ ```
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+
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+ Note: This script assumes that you have a `manage.py` file in the current directory, which is a standard file in Django projects. It also assumes that you want to run the FastAPI app on host `0.0.0.0` and port `8000`. You can change these settings as needed.
controllers/gpt_enginner20240624105436/Code.gs ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ function doPost(e) {
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+ var data = e.postData.contents;
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+ var diamond = JSON.parse(data).diamond;
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+ var brandProduct = JSON.parse(data).brandProduct;
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+ // Process appraisal logic here
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+ var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
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+ return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
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+ }
controllers/gpt_enginner20240624105436/app/models.py ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from django.db import models
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+
3
+ class Diamond(models.Model):
4
+ carat = models.DecimalField(max_digits=5, decimal_places=2)
5
+ cut = models.CharField(max_length=50)
6
+ color = models.CharField(max_length=50)
7
+ clarity = models.CharField(max_length=50)
8
+ depth = models.DecimalField(max_digits=5, decimal_places=2)
9
+
10
+ class BrandProduct(models.Model):
11
+ brand_name = models.CharField(max_length=50)
12
+ model_name = models.CharField(max_length=50)
13
+ type_number = models.CharField(max_length=50)
14
+ purchase_store = models.CharField(max_length=50)
15
+ purchase_date = models.DateField()
16
+ purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
17
+ accessories = models.TextField()
18
+ condition = models.CharField(max_length=50)
controllers/gpt_enginner20240624105436/app/views.py ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from django.shortcuts import render
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+ from .models import Diamond, BrandProduct
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+ from fastapi import FastAPI
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+
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+ app = FastAPI()
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+
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+ @app.get("/diamonds/")
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+ def get_diamonds():
9
+ diamonds = Diamond.objects.all()
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+ return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
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+
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+ @app.get("/brand_products/")
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+ def get_brand_products():
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+ brand_products = BrandProduct.objects.all()
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+ return {"brand_products": [{"id": bp.id, "brand_name": bp.brand_name, "model_name": bp.model_name, "type_number": bp.type_number, "purchase_store": bp.purchase_store, "purchase_date": bp.purchase_date, "purchase_price": bp.purchase_price, "accessories": bp.accessories, "condition": bp.condition} for bp in brand_products]}
controllers/gpt_enginner20240624105436/gradio_app.py ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import gradio as gr
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+
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+ def get_diamond_form():
4
+ with gr.Row():
5
+ carat = gr.Number(value=1.0, label="Carat")
6
+ cut = gr.Textbox(label="Cut")
7
+ color = gr.Textbox(label="Color")
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+ clarity = gr.Textbox(label="Clarity")
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+ depth = gr.Number(value=1.0, label="Depth")
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+ return [carat, cut, color, clarity, depth]
11
+
12
+ def get_brand_product_form():
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+ with gr.Row():
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+ brand_name = gr.Textbox(label="Brand Name")
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+ model_name = gr.Textbox(label="Model Name")
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+ type_number = gr.Textbox(label="Type Number")
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+ purchase_store = gr.Textbox(label="Purchase Store")
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+ purchase_date = gr.DatePicker(label="Purchase Date")
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+ purchase_price = gr.Number(value=1000.0, label="Purchase Price")
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+ accessories = gr.Textbox(label="Accessories")
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+ condition = gr.Textbox(label="Condition")
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+ return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
23
+
24
+ gr_interface = gr.Interface(
25
+ fn=None,
26
+ inputs=[get_diamond_form(), get_brand_product_form()],
27
+ outputs="text",
28
+ title="Diamond and Brand Product Appraisal",
29
+ description="Please fill in the required information for appraisal."
30
+ )
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+ gr_interface.launch()
controllers/gpt_enginner20240624105436/program_description.md ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Diamond and Brand Product Appraisal System
2
+
3
+ This system allows users to fill in a form with information about a diamond or brand product, and then submits the form data to a backend script for appraisal. The appraisal result is then displayed to the user.
4
+
5
+ The system consists of the following components:
6
+
7
+ * A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
8
+ * A Google Apps Script frontend that handles the form submission and communicates with the backend script
9
+ * A backend script that processes the appraisal logic and returns the result
10
+ * A Django app that provides the API for the backend script to interact with
11
+
12
+ The system uses the following technologies:
13
+
14
+ * Gradio for the frontend
15
+ * Google Apps Script for the frontend and backend communication
16
+ * Django for the backend API
17
+ * FastAPI for the router
18
+ * Python for the backend script
controllers/gpt_enginner20240624105436/requirements.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ django
2
+ fastapi
3
+ gradio
4
+ google-api-python-client
controllers/gpt_enginner20240624105436/router.py ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from fastapi import FastAPI, APIRouter
2
+ from app.views import app as django_app
3
+
4
+ router = APIRouter()
5
+
6
+ @router.get("/api/diamonds/")
7
+ def get_diamonds():
8
+ return django_app.get_diamonds()
9
+
10
+ @router.get("/api/brand_products/")
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+ def get_brand_products():
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+ return django_app.get_brand_products()
controllers/gpt_enginner20240624105436/run.sh ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ # Install dependencies
4
+ pip install -r requirements.txt
5
+
6
+ # Run Django migrations
7
+ python manage.py migrate
8
+
9
+ # Run FastAPI app
10
+ uvicorn router:router --host 0.0.0.0 --port 8000 &
11
+
12
+ # Run Gradio app
13
+ python gradio_app.py &
controllers/gpt_enginner20240624105436/sequence_diagram.puml ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ @startuml
2
+ participant User as U
3
+ participant GradioApp as GA
4
+ participant GoogleAppsScript as GAS
5
+ participant BackendScript as BS
6
+
7
+ U -> GA: Fill in appraisal form
8
+ GA -> GAS: Submit form data
9
+ GAS -> BS: POST request with form data
10
+ BS -> BS: Process appraisal logic
11
+ BS -> GAS: Return appraisal result
12
+ GAS -> GA: Display appraisal result
13
+ GA -> U: Show appraisal result
14
+ @enduml