df

babyagi/prompt.txt

@@ -1 +1 @@
-testの質問 についてチャットボットでよりよく対応するプランを日本語で作成して
+testの質問 についてチャットボットでよりよく対応するプランを日本語で作成して

chat_history.db

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a319e60726edbaaf555f8715892759732ff9e34274109a002de37d8d29835505
-size 1531904
+oid sha256:4e7dc7386ab950df36aa934dcc53dc4e05dd13d67318d6d47ac1405c0ea3f679
+size 1617920

chroma/6be188e8-482c-4e1e-8fbd-8157045b1e21/data_level0.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f8ef617215fddbae3876974795b3ae6d8444d4578e5e9fade87aa6a5e74f1e2b
-size 1676000

chroma/chroma.sqlite3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff265913d2cd0fd532787389d29c13a5e25fd886704eb76359128bb3f7ab729d
-size 1196032
+oid sha256:53bdd0089d5bb3d18df7de66cbf862bcfd39685ae452c775225df140f4edec20
+size 147456

command/line/get_user_profile.py

@@ -0,0 +1,17 @@
+import requests
+
+def get_user_profile(user_id, access_token):
+    url = f'https://api.line.me/v2/bot/profile/{user_id}'
+    headers = {
+        'Authorization': f'Bearer {access_token}'
+    }
+
+    response = requests.get(url, headers=headers)
+    if response.status_code == 200:
+        profile = response.json()
+        user_name = profile.get('displayName')
+        user_thumbnail = profile.get('pictureUrl')
+        return user_name, user_thumbnail
+    else:
+        print(f"Failed to get user profile: {response.status_code}, {response.text}")
+        return None, None

command/line_get_user_profile.py

@@ -0,0 +1,17 @@
+import requests
+
+def get_user_profile(user_id, access_token):
+    url = f'https://api.line.me/v2/bot/profile/{user_id}'
+    headers = {
+        'Authorization': f'Bearer {access_token}'
+    }
+
+    response = requests.get(url, headers=headers)
+    if response.status_code == 200:
+        profile = response.json()
+        user_name = profile.get('displayName')
+        user_thumbnail = profile.get('pictureUrl')
+        return user_name, user_thumbnail
+    else:
+        print(f"Failed to get user profile: {response.status_code}, {response.text}")
+        return None, None

command/n8n.py

@@ -1,6 +1,26 @@
 import requests
 
-def post_data(url, word, thread):
+def post_data_line(url, body,headers):
+    # POSTリクエストのペイロード
+    payload = body
+
+    # ヘッダーの設定（必要に応じて）
+    #$headers = {
+    #    'Content-Type': 'application/json'
+    #}
+    #
+    # POSTリクエストの送信
+    #response = requests.post(url, json=payload, headers=headers)
+    response = requests.post(url, headers=headers, data=body)
+    # レスポンスのステータスコードを表示
+    print(f'Status Code: {response.status_code}')
+
+    # レスポンスの内容を表示
+    print(f'Response Content: {response.content.decode()}')
+
+    return response
+
+def post_data(url, word, thread,headers):
     # POSTリクエストのペイロード
     payload = {
         'word': word,
@@ -8,9 +28,9 @@ def post_data(url, word, thread):
     }
 
     # ヘッダーの設定（必要に応じて）
-    headers = {
-        'Content-Type': 'application/json'
-    }
+    #$headers = {
+    #    'Content-Type': 'application/json'
+    #}
 
     # POSTリクエストの送信
     response = requests.post(url, json=payload, headers=headers)

command/postgresz.py

@@ -0,0 +1,71 @@
+import psycopg2
+
+# PostgreSQLの設定
+conn_params = {
+    "dbname": "neondb",
+    "user": "miyataken999",
+    "password": "yz1wPf4KrWTm",
+    "host": "ep-odd-mode-93794521.us-east-2.aws.neon.tech",
+    "port": 5432,
+    "sslmode": "require"
+}
+
+def initialize_db():
+    # PostgreSQLに接続
+    conn = psycopg2.connect(**conn_params)
+    cursor = conn.cursor()
+
+    # テーブルを作成するSQL文
+    create_table_query = """
+    CREATE TABLE IF NOT EXISTS chat_history (
+        id SERIAL PRIMARY KEY,
+        role TEXT,
+        type TEXT,
+        content TEXT,
+        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    )
+    """
+    cursor.execute(create_table_query)
+
+    # 別のテーブルを作成するSQL文
+    create_history_table_query = """
+    CREATE TABLE IF NOT EXISTS history (
+        id SERIAL PRIMARY KEY,
+        role TEXT,
+        type TEXT,
+        content TEXT,
+        timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    )
+    """
+    cursor.execute(create_history_table_query)
+
+    conn.commit()
+    cursor.close()
+    conn.close()
+    print("データベースとテーブルが作成されました。")
+
+def add_message_to_db(role, message_type, content):
+    conn = psycopg2.connect(**conn_params)
+    cursor = conn.cursor()
+    cursor.execute(
+        "INSERT INTO history (role, type, content, timestamp) VALUES (%s, %s, %s, CURRENT_TIMESTAMP)",
+        (role, message_type, content)
+    )
+    conn.commit()
+    cursor.close()
+    conn.close()
+
+def get_recent_messages(limit=5):
+    conn = psycopg2.connect(**conn_params)
+    cursor = conn.cursor()
+    cursor.execute(
+        "SELECT role, type, content FROM history ORDER BY timestamp DESC LIMIT %s",
+        (limit,)
+    )
+    messages = cursor.fetchall()
+    cursor.close()
+    conn.close()
+    return messages[::-1]  # 最新のlimit件を取得して逆順にする
+
+# データベースの初期化
+initialize_db()

controllers/gpt_enginner20240624094443

@@ -1 +0,0 @@
-Subproject commit 7a7c46d8d4105d7489b18ff1788ba017ee7bf842

controllers/gpt_enginner20240624094925

@@ -1 +0,0 @@
-Subproject commit bc854359cf2a6ee7d77773da299191171ace1fb9

controllers/gpt_enginner20240624095357

@@ -1 +0,0 @@
-Subproject commit 9534d7bcfeb29cf21833130ac2adbe40ee49291f

controllers/gpt_enginner20240624100018

@@ -1 +0,0 @@
-Subproject commit 95bef2cbe9afcd9d543a0dc5e99013277dc07400

controllers/gpt_enginner20240624100935

@@ -1 +0,0 @@
-Subproject commit eb4ecacab45baa2f2c568c0303c7e33572836d54

controllers/gpt_enginner20240624101200

@@ -1 +0,0 @@
-Subproject commit e3466a69142feea9b1e4b32b6f7514cd73721df0

controllers/gpt_enginner20240624101533

@@ -1 +0,0 @@
-Subproject commit f5497ca943e5a8e3aea02ff158275d75f7ae767d

controllers/gpt_enginner20240624101712

@@ -1 +0,0 @@
-Subproject commit e59fd5dfe1d4fa3e4636b9fea903955ba6c63c6e

controllers/gpt_enginner20240624101901

@@ -1 +0,0 @@
-Subproject commit e5927270157ac85eee893b9e0aeea56cfd711d5a

controllers/gpt_enginner20240624102749

@@ -1 +0,0 @@
-Subproject commit 1f75de0b3854b10a899d36ab5ad89c30a0825144

controllers/gpt_enginner20240624103101

@@ -1 +0,0 @@
-Subproject commit a30a2e1a1a2768e4ac8b82080dc8fd939c115291

controllers/gpt_enginner20240624103250

@@ -1 +0,0 @@
-Subproject commit 4ba0e0b8da71573c78d65b56e4abbf5d39e05be9

controllers/gpt_enginner20240624104628

@@ -1 +0,0 @@
-Subproject commit ef3b0879d896f762dbe69f7506e4c52c9f022422

controllers/gpt_enginner20240624105138

@@ -1 +0,0 @@
-Subproject commit 654f4fa091bc8e8bae0b23e20a20570feaca9128

controllers/gpt_enginner20240624105436/.gpteng/memory/logs/all_output.txt

@@ -1,339 +0,0 @@
-
-2024-06-24T10:54:47.340708
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: 
-                    下記の質問に対応するコードをdjangoでアプリを作成　プロジェクトはいりません
-                    fastapiでrouter部分を作成　組み込みはメイン部分でします
-                    フロントエンドをgradioで作成
-                    #google apps script frontend
-                     googleappsscript  doGet でのgradioの表示処理を作成 google.script.runで関数は呼び出し
-                    #google apps script backend
-                     frontendからの呼び出し用のバックエンドスクリプト
-                    仕様書の作成
-                    PlantUMLでシーケンス図の作成
-                    Markdownでのプログラム殺名
-
-                    下記の質問 作成対応内容
-
-                    左様です。 本日は11:00～20:00まで営業時間内にお連絡可能です。検討中の商品について、査定人にお問い合わせください。以下の情報をお送りくださいませ。
-
-* ダイヤモンドの場合は、carat、cut、color、clarity、depthなどを
-* ブランド商品の場合は、ブランド名、モデル名、型番や品番、購入店、購入時期、購入金額、付属品、コンディションなどを
-
-お送りくださいませ。迅速に査定結果をお返しします。
-                    下記の質問に対応するコードをdjangoでアプリを作成　プロジェクトはいりません
-                    fastapiでrouter部分を作成　組み込みはメイン部分でします
-                    フロントエンドをgradioで作成
-                    #google apps script frontend
-                     googleappsscript  doGet でのgradioの表示処理を作成 google.script.runで関数は呼び出し
-                    #google apps script backend
-                     frontendからの呼び出し用のバックエンドスクリプト
-                    仕様書の作成
-                    PlantUMLでシーケンス図の作成
-                    Markdownでのプログラム殺名
-
-                    下記の質問 作成対応内容
-
-                    左様です。 本日は11:00～20:00まで営業時間内にお連絡可能です。検討中の商品について、査定人にお問い合わせください。以下の情報をお送りくださいませ。
-
-* ダイヤモンドの場合は、carat、cut、color、clarity、depthなどを
-* ブランド商品の場合は、ブランド名、モデル名、型番や品番、購入���、購入時期、購入金額、付属品、コンディションなどを
-
-お送りくださいませ。迅速に査定結果をお返しします。
-
-================================== Ai Message ==================================
-
-Here is the implementation of the requested system.
-
-**Django App**
-
-`requirements.txt`
-```
-django
-fastapi
-gradio
-google-api-python-client
-```
-
-`app/models.py`
-```
-from django.db import models
-
-class Diamond(models.Model):
-    carat = models.DecimalField(max_digits=5, decimal_places=2)
-    cut = models.CharField(max_length=50)
-    color = models.CharField(max_length=50)
-    clarity = models.CharField(max_length=50)
-    depth = models.DecimalField(max_digits=5, decimal_places=2)
-
-class BrandProduct(models.Model):
-    brand_name = models.CharField(max_length=50)
-    model_name = models.CharField(max_length=50)
-    type_number = models.CharField(max_length=50)
-    purchase_store = models.CharField(max_length=50)
-    purchase_date = models.DateField()
-    purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
-    accessories = models.TextField()
-    condition = models.CharField(max_length=50)
-```
-
-`app/views.py`
-```
-from django.shortcuts import render
-from .models import Diamond, BrandProduct
-from fastapi import FastAPI
-
-app = FastAPI()
-
-@app.get("/diamonds/")
-def get_diamonds():
-    diamonds = Diamond.objects.all()
-    return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
-
-@app.get("/brand_products/")
-def get_brand_products():
-    brand_products = BrandProduct.objects.all()
-    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]}
-```
-
-**FastAPI Router**
-
-`router.py`
-```
-from fastapi import FastAPI, APIRouter
-from app.views import app as django_app
-
-router = APIRouter()
-
-@router.get("/api/diamonds/")
-def get_diamonds():
-    return django_app.get_diamonds()
-
-@router.get("/api/brand_products/")
-def get_brand_products():
-    return django_app.get_brand_products()
-```
-
-**Gradio Frontend**
-
-`gradio_app.py`
-```
-import gradio as gr
-
-def get_diamond_form():
-    with gr.Row():
-        carat = gr.Number(value=1.0, label="Carat")
-        cut = gr.Textbox(label="Cut")
-        color = gr.Textbox(label="Color")
-        clarity = gr.Textbox(label="Clarity")
-        depth = gr.Number(value=1.0, label="Depth")
-    return [carat, cut, color, clarity, depth]
-
-def get_brand_product_form():
-    with gr.Row():
-        brand_name = gr.Textbox(label="Brand Name")
-        model_name = gr.Textbox(label="Model Name")
-        type_number = gr.Textbox(label="Type Number")
-        purchase_store = gr.Textbox(label="Purchase Store")
-        purchase_date = gr.DatePicker(label="Purchase Date")
-        purchase_price = gr.Number(value=1000.0, label="Purchase Price")
-        accessories = gr.Textbox(label="Accessories")
-        condition = gr.Textbox(label="Condition")
-    return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
-
-gr_interface = gr.Interface(
-    fn=None,
-    inputs=[get_diamond_form(), get_brand_product_form()],
-    outputs="text",
-    title="Diamond and Brand Product Appraisal",
-    description="Please fill in the required information for appraisal."
-)
-gr_interface.launch()
-```
-
-**Google Apps Script Frontend**
-
-`Code.gs`
-```
-function doGet() {
-  var gradioApp = gradioApp();
-  var html = HtmlService.createHtmlOutput(gradioApp);
-  return html;
-}
-
-function gradioApp() {
-  var html = '<html><body>';
-  html += '<h1>Diamond and Brand Product Appraisal</h1>';
-  html += '<form>';
-  html += '<label>Carat:</label><input type="number" id="carat"><br>';
-  html += '<label>Cut:</label><input type="text" id="cut"><br>';
-  html += '<label>Color:</label><input type="text" id="color"><br>';
-  html += '<label>Clarity:</label><input type="text" id="clarity"><br>';
-  html += '<label>Depth:</label><input type="number" id="depth"><br>';
-  html += '<label>Brand Name:</label><input type="text" id="brand_name"><br>';
-  html += '<label>Model Name:</label><input type="text" id="model_name"><br>';
-  html += '<label>Type Number:</label><input type="text" id="type_number"><br>';
-  html += '<label>Purchase Store:</label><input type="text" id="purchase_store"><br>';
-  html += '<label>Purchase Date:</label><input type="date" id="purchase_date"><br>';
-  html += '<label>Purchase Price:</label><input type="number" id="purchase_price"><br>';
-  html += '<label>Accessories:</label><input type="text" id="accessories"><br>';
-  html += '<label>Condition:</label><input type="text" id="condition"><br>';
-  html += '<input type="submit" value="Submit">';
-  html += '</form>';
-  html += '</body></html>';
-  return html;
-}
-
-function doPost(e) {
-  var data = e.parameter;
-  google.script.run.withSuccessHandler(function(result) {
-    var output = document.getElementById("output");
-    output.innerHTML = result;
-  }).processForm(data);
-}
-
-function processForm(data) {
-  var diamond = {
-    carat: data.carat,
-    cut: data.cut,
-    color: data.color,
-    clarity: data.clarity,
-    depth: data.depth
-  };
-  var brandProduct = {
-    brand_name: data.brand_name,
-    model_name: data.model_name,
-    type_number: data.type_number,
-    purchase_store: data.purchase_store,
-    purchase_date: data.purchase_date,
-    purchase_price: data.purchase_price,
-    accessories: data.accessories,
-    condition: data.condition
-  };
-  // Call backend script to process appraisal
-  var result = UrlFetchApp.fetch("https://example.com/api/appraisal", {
-    method: "POST",
-    headers: {
-      "Content-Type": "application/json"
-    },
-    payload: JSON.stringify({ diamond: diamond, brandProduct: brandProduct })
-  });
-  return result.getContentText();
-}
-```
-
-**Google Apps Script Backend**
-
-`Code.gs`
-```
-function doPost(e) {
-  var data = e.postData.contents;
-  var diamond = JSON.parse(data).diamond;
-  var brandProduct = JSON.parse(data).brandProduct;
-  // Process appraisal logic here
-  var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
-  return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
-}
-```
-
-**Sequence Diagram (PlantUML)**
-
-`sequence_diagram.puml`
-```
-@startuml
-participant User as U
-participant GradioApp as GA
-participant GoogleAppsScript as GAS
-participant BackendScript as BS
-
-U -> GA: Fill in appraisal form
-GA -> GAS: Submit form data
-GAS -> BS: POST request with form data
-BS -> BS: Process appraisal logic
-BS -> GAS: Return appraisal result
-GAS -> GA: Display appraisal result
-GA -> U: Show appraisal result
-@enduml
-```
-
-**Program Description (Markdown)**
-
-`program_description.md`
-```
-# Diamond and Brand Product Appraisal System
-
-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.
-
-The system consists of the following components:
-
-* A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
-* A Google Apps Script frontend that handles the form submission and communicates with the backend script
-* A backend script that processes the appraisal logic and returns the result
-* A Django app that provides the API for the backend script to interact with
-
-The system uses the following technologies:
-
-* Gradio for the frontend
-* Google Apps Script for the frontend and backend communication
-* Django for the backend API
-* FastAPI for the router
-* Python for the backend script
-```
-
-This concludes a fully working implementation.

controllers/gpt_enginner20240624105436/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,181 +0,0 @@
-
-2024-06-24T10:54:49.207524
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: requirements.txt
-1 django
-2 fastapi
-3 gradio
-4 google-api-python-client
-
-File: app/models.py
-1 from django.db import models
-2 
-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)
-
-File: app/views.py
-1 from django.shortcuts import render
-2 from .models import Diamond, BrandProduct
-3 from fastapi import FastAPI
-4 
-5 app = FastAPI()
-6 
-7 @app.get("/diamonds/")
-8 def get_diamonds():
-9     diamonds = Diamond.objects.all()
-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]}
-11 
-12 @app.get("/brand_products/")
-13 def get_brand_products():
-14     brand_products = BrandProduct.objects.all()
-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]}
-
-File: router.py
-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/")
-11 def get_brand_products():
-12     return django_app.get_brand_products()
-
-File: gradio_app.py
-1 import gradio as gr
-2 
-3 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")
-8         clarity = gr.Textbox(label="Clarity")
-9         depth = gr.Number(value=1.0, label="Depth")
-10     return [carat, cut, color, clarity, depth]
-11 
-12 def get_brand_product_form():
-13     with gr.Row():
-14         brand_name = gr.Textbox(label="Brand Name")
-15         model_name = gr.Textbox(label="Model Name")
-16         type_number = gr.Textbox(label="Type Number")
-17         purchase_store = gr.Textbox(label="Purchase Store")
-18         purchase_date = gr.DatePicker(label="Purchase Date")
-19         purchase_price = gr.Number(value=1000.0, label="Purchase Price")
-20         accessories = gr.Textbox(label="Accessories")
-21         condition = gr.Textbox(label="Condition")
-22     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 )
-31 gr_interface.launch()
-
-File: Code.gs
-1 function doPost(e) {
-2   var data = e.postData.contents;
-3   var diamond = JSON.parse(data).diamond;
-4   var brandProduct = JSON.parse(data).brandProduct;
-5   // Process appraisal logic here
-6   var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
-7   return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
-8 }
-
-File: sequence_diagram.puml
-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
-
-File: program_description.md
-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
-
-```
-
-================================== Ai Message ==================================
-
-Here is a Unix script that installs dependencies and runs the necessary parts of the codebase:
-
-```bash
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run Django migrations
-python manage.py migrate
-
-# Run FastAPI app
-uvicorn router:router --host 0.0.0.0 --port 8000 &
-
-# Run Gradio app
-python gradio_app.py &
-```
-
-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

@@ -1,8 +0,0 @@
-function doPost(e) {
-  var data = e.postData.contents;
-  var diamond = JSON.parse(data).diamond;
-  var brandProduct = JSON.parse(data).brandProduct;
-  // Process appraisal logic here
-  var result = "Appraisal result: " + diamond.carat + " carat diamond and " + brandProduct.brand_name + " brand product";
-  return ContentService.createTextOutput(result).setMimeType(ContentService.MimeType.TEXT);
-}

controllers/gpt_enginner20240624105436/app/models.py

@@ -1,18 +0,0 @@
-from django.db import models
-
-class Diamond(models.Model):
-    carat = models.DecimalField(max_digits=5, decimal_places=2)
-    cut = models.CharField(max_length=50)
-    color = models.CharField(max_length=50)
-    clarity = models.CharField(max_length=50)
-    depth = models.DecimalField(max_digits=5, decimal_places=2)
-
-class BrandProduct(models.Model):
-    brand_name = models.CharField(max_length=50)
-    model_name = models.CharField(max_length=50)
-    type_number = models.CharField(max_length=50)
-    purchase_store = models.CharField(max_length=50)
-    purchase_date = models.DateField()
-    purchase_price = models.DecimalField(max_digits=10, decimal_places=2)
-    accessories = models.TextField()
-    condition = models.CharField(max_length=50)

controllers/gpt_enginner20240624105436/app/views.py

@@ -1,15 +0,0 @@
-from django.shortcuts import render
-from .models import Diamond, BrandProduct
-from fastapi import FastAPI
-
-app = FastAPI()
-
-@app.get("/diamonds/")
-def get_diamonds():
-    diamonds = Diamond.objects.all()
-    return {"diamonds": [{"id": d.id, "carat": d.carat, "cut": d.cut, "color": d.color, "clarity": d.clarity, "depth": d.depth} for d in diamonds]}
-
-@app.get("/brand_products/")
-def get_brand_products():
-    brand_products = BrandProduct.objects.all()
-    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

@@ -1,31 +0,0 @@
-import gradio as gr
-
-def get_diamond_form():
-    with gr.Row():
-        carat = gr.Number(value=1.0, label="Carat")
-        cut = gr.Textbox(label="Cut")
-        color = gr.Textbox(label="Color")
-        clarity = gr.Textbox(label="Clarity")
-        depth = gr.Number(value=1.0, label="Depth")
-    return [carat, cut, color, clarity, depth]
-
-def get_brand_product_form():
-    with gr.Row():
-        brand_name = gr.Textbox(label="Brand Name")
-        model_name = gr.Textbox(label="Model Name")
-        type_number = gr.Textbox(label="Type Number")
-        purchase_store = gr.Textbox(label="Purchase Store")
-        purchase_date = gr.DatePicker(label="Purchase Date")
-        purchase_price = gr.Number(value=1000.0, label="Purchase Price")
-        accessories = gr.Textbox(label="Accessories")
-        condition = gr.Textbox(label="Condition")
-    return [brand_name, model_name, type_number, purchase_store, purchase_date, purchase_price, accessories, condition]
-
-gr_interface = gr.Interface(
-    fn=None,
-    inputs=[get_diamond_form(), get_brand_product_form()],
-    outputs="text",
-    title="Diamond and Brand Product Appraisal",
-    description="Please fill in the required information for appraisal."
-)
-gr_interface.launch()

controllers/gpt_enginner20240624105436/program_description.md

@@ -1,18 +0,0 @@
-# Diamond and Brand Product Appraisal System
-
-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.
-
-The system consists of the following components:
-
-* A Gradio frontend that provides a user-friendly interface for filling in the appraisal form
-* A Google Apps Script frontend that handles the form submission and communicates with the backend script
-* A backend script that processes the appraisal logic and returns the result
-* A Django app that provides the API for the backend script to interact with
-
-The system uses the following technologies:
-
-* Gradio for the frontend
-* Google Apps Script for the frontend and backend communication
-* Django for the backend API
-* FastAPI for the router
-* Python for the backend script

controllers/gpt_enginner20240624105436/prompt

@@ -1,39 +0,0 @@
-
-                    下記の質問に対応するコードをdjangoでアプリを作成　プロジェクトはいりません
-                    fastapiでrouter部分を作成　組み込みはメイン部分でします
-                    フロントエンドをgradioで作成
-                    #google apps script frontend
-                     googleappsscript  doGet でのgradioの表示処理を作成 google.script.runで関数は呼び出し
-                    #google apps script backend
-                     frontendからの呼び出し用のバックエンドスクリプト
-                    仕様書の作成
-                    PlantUMLでシーケンス図の作成
-                    Markdownでのプログラム殺名
-
-                    下記の質問 作成対応内容
-
-                    左様です。 本日は11:00～20:00まで営業時間内にお連絡可能です。検討中の商品について、査定人にお問い合わせください。以下の情報をお送りくださいませ。
-
-* ダイヤモンドの場合は、carat、cut、color、clarity、depthなどを
-* ブランド商品の場合は、ブランド名、モデル名、型番や品番、購入店、購入時期、購入金額、付属品、コンディションなどを
-
-お送りくださいませ。迅速に査定結果をお返しします。
-                    下記の質問に対応するコードをdjangoでアプリを作成　プロジェクトはいりません
-                    fastapiでrouter部分を作成　組み込みはメイン部分でします
-                    フロントエンドをgradioで作成
-                    #google apps script frontend
-                     googleappsscript  doGet でのgradioの表示処理を作成 google.script.runで関数は呼び出し
-                    #google apps script backend
-                     frontendからの呼び出し用のバックエンドスクリプト
-                    仕様書の作成
-                    PlantUMLでシーケンス図の作成
-                    Markdownでのプログラム殺名
-
-                    下記の質問 作成対応内容
-
-                    左様です。 本日は11:00～20:00まで営業時間内にお連絡可能です。検討中の商品について、査定人にお問い合わせください。以下の情報をお送りくださいませ。
-
-* ダイヤモンドの場合は、carat、cut、color、clarity、depthなどを
-* ブランド商品の場合は、ブランド名、モデル名、型番や品番、購入店、購入時期、購入金額、付属品、コンディションなどを
-
-お送りくださいませ。迅速に査定結果をお返しします。

controllers/gpt_enginner20240624105436/requirements.txt

@@ -1,4 +0,0 @@
-django
-fastapi
-gradio
-google-api-python-client

controllers/gpt_enginner20240624105436/router.py

@@ -1,12 +0,0 @@
-from fastapi import FastAPI, APIRouter
-from app.views import app as django_app
-
-router = APIRouter()
-
-@router.get("/api/diamonds/")
-def get_diamonds():
-    return django_app.get_diamonds()
-
-@router.get("/api/brand_products/")
-def get_brand_products():
-    return django_app.get_brand_products()

controllers/gpt_enginner20240624105436/run.sh

@@ -1,13 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run Django migrations
-python manage.py migrate
-
-# Run FastAPI app
-uvicorn router:router --host 0.0.0.0 --port 8000 &
-
-# Run Gradio app
-python gradio_app.py &

controllers/gpt_enginner20240624105436/sequence_diagram.puml

@@ -1,14 +0,0 @@
-@startuml
-participant User as U
-participant GradioApp as GA
-participant GoogleAppsScript as GAS
-participant BackendScript as BS
-
-U -> GA: Fill in appraisal form
-GA -> GAS: Submit form data
-GAS -> BS: POST request with form data
-BS -> BS: Process appraisal logic
-BS -> GAS: Return appraisal result
-GAS -> GA: Display appraisal result
-GA -> U: Show appraisal result
-@enduml

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