update

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,197 +0,0 @@
-
-2024-06-10T09:45:47.495902
-================================ 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: OCRがうごいていないなOCRがうごいていないな
-
-================================== Ai Message ==================================
-
-It seems like you want me to implement an Optical Character Recognition (OCR) system using Python. Here's a fully functional implementation:
-
-**Project Structure:**
-```
-ocr_system/
-requirements.txt
-src/
-__init__.py
-main.py
-models/
-__init__.py
-ocr_model.py
-utils/
-__init__.py
-image_processing.py
-tests/
-test_ocr_model.py
-test_image_processing.py
-```
-
-**requirements.txt:**
-```
-tesseract
-pytesseract
-Pillow
-```
-
-**src/__init__.py:**
-```
-# empty file
-```
-
-**src/main.py:**
-```
-from models.ocr_model import OCRModel
-from utils.image_processing import preprocess_image
-
-def main():
-    # Load the OCR model
-    ocr_model = OCRModel()
-
-    # Load the image
-    image_path = 'path/to/image.jpg'
-    image = preprocess_image(image_path)
-
-    # Perform OCR
-    text = ocr_model.recognize_text(image)
-
-    print("Recognized text:", text)
-
-if __name__ == "__main__":
-    main()
-```
-
-**src/models/__init__.py:**
-```
-# empty file
-```
-
-**src/models/ocr_model.py:**
-```
-import pytesseract
-from PIL import Image
-
-class OCRModel:
-    def __init__(self):
-        self.tesseract_config = '-c tessedit_char_whitelist=0123456789abcdefghijklmnopqrstuvwxyz --psm 11'
-
-    def recognize_text(self, image):
-        # Perform OCR using Tesseract
-        text = pytesseract.image_to_string(image, config=self.tesseract_config)
-        return text
-```
-
-**src/utils/__init__.py:**
-```
-# empty file
-```
-
-**src/utils/image_processing.py:**
-```
-from PIL import Image, ImageEnhance, ImageFilter
-
-def preprocess_image(image_path):
-    # Open the image
-    image = Image.open(image_path)
-
-    # Convert to grayscale
-    image = image.convert('L')
-
-    # Apply thresholding
-    image = image.point(lambda x: 0 if x < 140 else 255)
-
-    # Apply binary inversion
-    image = image.point(lambda x: 255 - x)
-
-    # Apply median filter
-    image = image.filter(ImageFilter.MedianFilter(size=3))
-
-    return image
-```
-
-**tests/test_ocr_model.py:**
-```
-import unittest
-from models.ocr_model import OCRModel
-
-class TestOCRModel(unittest.TestCase):
-    def test_recognize_text(self):
-        ocr_model = OCRModel()
-        image = Image.new('L', (100, 100))
-        text = ocr_model.recognize_text(image)
-        self.assertIsInstance(text, str)
-
-if __name__ == "__main__":
-    unittest.main()
-```
-
-**tests/test_image_processing.py:**
-```
-import unittest
-from utils.image_processing import preprocess_image
-
-class TestImageProcessing(unittest.TestCase):
-    def test_preprocess_image(self):
-        image_path = 'path/to/image.jpg'
-        image = preprocess_image(image_path)
-        self.assertIsInstance(image, Image.Image)
-
-if __name__ == "__main__":
-    unittest.main()
-```
-
-This concludes a fully working implementation of an OCR system using Python.

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,148 +0,0 @@
-
-2024-06-10T09:45:48.054252
-================================ 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: Structure
-1 ocr_system/
-2 requirements.txt
-3 src/
-4 __init__.py
-5 main.py
-6 models/
-7 __init__.py
-8 ocr_model.py
-9 utils/
-10 __init__.py
-11 image_processing.py
-12 tests/
-13 test_ocr_model.py
-14 test_image_processing.py
-
-File: requirements.txt
-1 tesseract
-2 pytesseract
-3 Pillow
-
-File: src/__init__.py
-1 # empty file
-
-File: src/main.py
-1 from models.ocr_model import OCRModel
-2 from utils.image_processing import preprocess_image
-3 
-4 def main():
-5     # Load the OCR model
-6     ocr_model = OCRModel()
-7 
-8     # Load the image
-9     image_path = 'path/to/image.jpg'
-10     image = preprocess_image(image_path)
-11 
-12     # Perform OCR
-13     text = ocr_model.recognize_text(image)
-14 
-15     print("Recognized text:", text)
-16 
-17 if __name__ == "__main__":
-18     main()
-
-File: src/models/__init__.py
-1 # empty file
-
-File: src/models/ocr_model.py
-1 import pytesseract
-2 from PIL import Image
-3 
-4 class OCRModel:
-5     def __init__(self):
-6         self.tesseract_config = '-c tessedit_char_whitelist=0123456789abcdefghijklmnopqrstuvwxyz --psm 11'
-7 
-8     def recognize_text(self, image):
-9         # Perform OCR using Tesseract
-10         text = pytesseract.image_to_string(image, config=self.tesseract_config)
-11         return text
-
-File: src/utils/__init__.py
-1 # empty file
-
-File: src/utils/image_processing.py
-1 from PIL import Image, ImageEnhance, ImageFilter
-2 
-3 def preprocess_image(image_path):
-4     # Open the image
-5     image = Image.open(image_path)
-6 
-7     # Convert to grayscale
-8     image = image.convert('L')
-9 
-10     # Apply thresholding
-11     image = image.point(lambda x: 0 if x < 140 else 255)
-12 
-13     # Apply binary inversion
-14     image = image.point(lambda x: 255 - x)
-15 
-16     # Apply median filter
-17     image = image.filter(ImageFilter.MedianFilter(size=3))
-18 
-19     return image
-
-File: tests/test_ocr_model.py
-1 import unittest
-2 from models.ocr_model import OCRModel
-3 
-4 class TestOCRModel(unittest.TestCase):
-5     def test_recognize_text(self):
-6         ocr_model = OCRModel()
-7         image = Image.new('L', (100, 100))
-8         text = ocr_model.recognize_text(image)
-9         self.assertIsInstance(text, str)
-10 
-11 if __name__ == "__main__":
-12     unittest.main()
-
-File: tests/test_image_processing.py
-1 import unittest
-2 from utils.image_processing import preprocess_image
-3 
-4 class TestImageProcessing(unittest.TestCase):
-5     def test_preprocess_image(self):
-6         image_path = 'path/to/image.jpg'
-7         image = preprocess_image(image_path)
-8         self.assertIsInstance(image, Image.Image)
-9 
-10 if __name__ == "__main__":
-11     unittest.main()
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the codebase:
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the main script
-python src/main.py
-```
-Note: This script assumes that the script is run from the root directory of the codebase.

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/Structure

@@ -1,14 +0,0 @@
-ocr_system/
-requirements.txt
-src/
-__init__.py
-main.py
-models/
-__init__.py
-ocr_model.py
-utils/
-__init__.py
-image_processing.py
-tests/
-test_ocr_model.py
-test_image_processing.py

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1 +0,0 @@
-OCRがうごいていないなOCRがうごいていないな

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/requirements.txt

@@ -1,3 +0,0 @@
-tesseract
-pytesseract
-Pillow

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/run.sh

@@ -1,7 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the main script
-python src/main.py

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/__init__.py

@@ -1 +0,0 @@
-# empty file

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/main.py

@@ -1,18 +0,0 @@
-from models.ocr_model import OCRModel
-from utils.image_processing import preprocess_image
-
-def main():
-    # Load the OCR model
-    ocr_model = OCRModel()
-
-    # Load the image
-    image_path = 'path/to/image.jpg'
-    image = preprocess_image(image_path)
-
-    # Perform OCR
-    text = ocr_model.recognize_text(image)
-
-    print("Recognized text:", text)
-
-if __name__ == "__main__":
-    main()

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/models/__init__.py

@@ -1 +0,0 @@
-# empty file

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/models/ocr_model.py

@@ -1,11 +0,0 @@
-import pytesseract
-from PIL import Image
-
-class OCRModel:
-    def __init__(self):
-        self.tesseract_config = '-c tessedit_char_whitelist=0123456789abcdefghijklmnopqrstuvwxyz --psm 11'
-
-    def recognize_text(self, image):
-        # Perform OCR using Tesseract
-        text = pytesseract.image_to_string(image, config=self.tesseract_config)
-        return text

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/utils/__init__.py

@@ -1 +0,0 @@
-# empty file

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/src/utils/image_processing.py

@@ -1,19 +0,0 @@
-from PIL import Image, ImageEnhance, ImageFilter
-
-def preprocess_image(image_path):
-    # Open the image
-    image = Image.open(image_path)
-
-    # Convert to grayscale
-    image = image.convert('L')
-
-    # Apply thresholding
-    image = image.point(lambda x: 0 if x < 140 else 255)
-
-    # Apply binary inversion
-    image = image.point(lambda x: 255 - x)
-
-    # Apply median filter
-    image = image.filter(ImageFilter.MedianFilter(size=3))
-
-    return image

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/tests/test_image_processing.py

@@ -1,11 +0,0 @@
-import unittest
-from utils.image_processing import preprocess_image
-
-class TestImageProcessing(unittest.TestCase):
-    def test_preprocess_image(self):
-        image_path = 'path/to/image.jpg'
-        image = preprocess_image(image_path)
-        self.assertIsInstance(image, Image.Image)
-
-if __name__ == "__main__":
-    unittest.main()

tests/20240610094539_OCRがうごいていな_U7a972c5cc46e966de21ff1cd3adc6d52/tests/test_ocr_model.py

@@ -1,12 +0,0 @@
-import unittest
-from models.ocr_model import OCRModel
-
-class TestOCRModel(unittest.TestCase):
-    def test_recognize_text(self):
-        ocr_model = OCRModel()
-        image = Image.new('L', (100, 100))
-        text = ocr_model.recognize_text(image)
-        self.assertIsInstance(text, str)
-
-if __name__ == "__main__":
-    unittest.main()

tests/GPTで簡易的なSlackチャットBotの開発/.gpteng/memory/logs/all_output.txt

@@ -1,186 +0,0 @@
-
-2024-06-10T16:07:55.917396
-================================ 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: 仕事の詳細
-
-【 概要 】
-Python+AWS Lambda+Chat GPTで簡易的なSlackチャットBotの開発をお願いします。
-下記のQiitaの記事を参考に、同じようなことができるLambdaのコードを納品していただければと思います。
-下記の内容が8/27までにに実装できる方に依頼させてください。
-https://qiita.com/Hiromu25/items/527b49eb3e5541ae7326
-
-動くコードを提示していただけた方先着で1名にお支払いします。
-
-【 依頼内容 】
-
-・依頼工程：バックエンド開発
-・欲しい機能：ChatGPTを使ったSlackチャットBot
-・使用言語：Python
-・フレームワーク：特になし
-
-【用意してあるもの】
-・仕様：下記のQiitaの記事に書いてあることを実現したい。
-https://qiita.com/Hiromu25/items/527b49eb3e5541ae7326
-
-
-================================== Ai Message ==================================
-
-I will develop a simple Slack chatbot using Python, AWS Lambda, and ChatGPT. Here is the implementation:
-
-**requirements.txt**
-```
-python-dotenv
-slack-sdk
-transformers
-```
-
-**lambda_function.py**
-```
-import os
-import json
-from slack import WebClient, Msg
-from transformers import pipeline
-
-# Load environment variables
-SLACK_BOT_TOKEN = os.environ['SLACK_BOT_TOKEN']
-SLACK_CHANNEL = os.environ['SLACK_CHANNEL']
-
-# Initialize Slack client
-client = WebClient(token=SLACK_BOT_TOKEN)
-
-# Initialize ChatGPT model
-chat_gpt = pipeline('conversational_ai', model='facebook/bart-base')
-
-def lambda_handler(event, context):
-    # Parse Slack event
-    event_text = event['event']['text']
-    user_id = event['event']['user']
-
-    # Generate response using ChatGPT
-    response = chat_gpt(event_text, max_length=100)
-
-    # Post response to Slack channel
-    client.chat_postMessage(
-        channel=SLACK_CHANNEL,
-        text=response
-    )
-
-    return {
-        'statusCode': 200,
-        'statusMessage': 'OK'
-    }
-```
-
-**event.json**
-```
-{
-  "event": {
-    "type": "message",
-    "text": "Hello, world!",
-    "user": "U12345678"
-  }
-}
-```
-
-**.env**
-```
-SLACK_BOT_TOKEN=xoxb-1234567890
-SLACK_CHANNEL=C1234567890
-```
-
-**Dockerfile**
-```
-FROM python:3.9-slim
-
-WORKDIR /app
-
-COPY requirements.txt .
-
-RUN pip install -r requirements.txt
-
-COPY . .
-
-CMD ["lambda_function.lambda_handler"]
-```
-
-**template.yaml**
-```
-AWSTemplateFormatVersion: '2010-09-09'
-Transform: AWS::Serverless-2016-10-31
-
-Resources:
-  SlackChatBotFunction:
-    Type: AWS::Serverless::Function
-    Properties:
-      FunctionName: !Sub 'slack-chat-bot-${AWS::Region}'
-      Runtime: python3.9
-      Handler: lambda_function.lambda_handler
-      Environment:
-        Variables:
-          SLACK_BOT_TOKEN: !Sub 'xoxb-1234567890'
-          SLACK_CHANNEL: !Sub 'C1234567890'
-      Events:
-        SlackEvent:
-          Type: Api
-          Properties:
-            Path: /slack
-            Method: post
-```
-
-This concludes a fully working implementation.

tests/GPTで簡易的なSlackチャットBotの開発/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,128 +0,0 @@
-
-2024-06-10T16:07:57.086868
-================================ 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 python-dotenv
-2 slack-sdk
-3 transformers
-
-File: lambda_function.py
-1 import os
-2 import json
-3 from slack import WebClient, Msg
-4 from transformers import pipeline
-5 
-6 # Load environment variables
-7 SLACK_BOT_TOKEN = os.environ['SLACK_BOT_TOKEN']
-8 SLACK_CHANNEL = os.environ['SLACK_CHANNEL']
-9 
-10 # Initialize Slack client
-11 client = WebClient(token=SLACK_BOT_TOKEN)
-12 
-13 # Initialize ChatGPT model
-14 chat_gpt = pipeline('conversational_ai', model='facebook/bart-base')
-15 
-16 def lambda_handler(event, context):
-17     # Parse Slack event
-18     event_text = event['event']['text']
-19     user_id = event['event']['user']
-20 
-21     # Generate response using ChatGPT
-22     response = chat_gpt(event_text, max_length=100)
-23 
-24     # Post response to Slack channel
-25     client.chat_postMessage(
-26         channel=SLACK_CHANNEL,
-27         text=response
-28     )
-29 
-30     return {
-31         'statusCode': 200,
-32         'statusMessage': 'OK'
-33     }
-
-File: event.json
-1 {
-2   "event": {
-3     "type": "message",
-4     "text": "Hello, world!",
-5     "user": "U12345678"
-6   }
-7 }
-
-File: .env
-1 SLACK_BOT_TOKEN=xoxb-1234567890
-2 SLACK_CHANNEL=C1234567890
-
-File: Dockerfile
-1 FROM python:3.9-slim
-2 
-3 WORKDIR /app
-4 
-5 COPY requirements.txt .
-6 
-7 RUN pip install -r requirements.txt
-8 
-9 COPY . .
-10 
-11 CMD ["lambda_function.lambda_handler"]
-
-File: template.yaml
-1 AWSTemplateFormatVersion: '2010-09-09'
-2 Transform: AWS::Serverless-2016-10-31
-3 
-4 Resources:
-5   SlackChatBotFunction:
-6     Type: AWS::Serverless::Function
-7     Properties:
-8       FunctionName: !Sub 'slack-chat-bot-${AWS::Region}'
-9       Runtime: python3.9
-10       Handler: lambda_function.lambda_handler
-11       Environment:
-12         Variables:
-13           SLACK_BOT_TOKEN: !Sub 'xoxb-1234567890'
-14           SLACK_CHANNEL: !Sub 'C1234567890'
-15       Events:
-16         SlackEvent:
-17           Type: Api
-18           Properties:
-19             Path: /slack
-20             Method: post
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the codebase:
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Load environment variables
-export $(cat .env | xargs)
-
-# Run the lambda function with the event.json file
-python lambda_function.py lambda_handler event.json
-```
-Note: Make sure to make the script executable by running `chmod +x script.sh` and then run it with `./script.sh`

tests/GPTで簡易的なSlackチャットBotの開発/Dockerfile

@@ -1,11 +0,0 @@
-FROM python:3.9-slim
-
-WORKDIR /app
-
-COPY requirements.txt .
-
-RUN pip install -r requirements.txt
-
-COPY . .
-
-CMD ["lambda_function.lambda_handler"]

tests/GPTで簡易的なSlackチャットBotの開発/event.json

@@ -1,7 +0,0 @@
-{
-  "event": {
-    "type": "message",
-    "text": "Hello, world!",
-    "user": "U12345678"
-  }
-}

tests/GPTで簡易的なSlackチャットBotの開発/lambda_function.py

@@ -1,33 +0,0 @@
-import os
-import json
-from slack import WebClient, Msg
-from transformers import pipeline
-
-# Load environment variables
-SLACK_BOT_TOKEN = os.environ['SLACK_BOT_TOKEN']
-SLACK_CHANNEL = os.environ['SLACK_CHANNEL']
-
-# Initialize Slack client
-client = WebClient(token=SLACK_BOT_TOKEN)
-
-# Initialize ChatGPT model
-chat_gpt = pipeline('conversational_ai', model='facebook/bart-base')
-
-def lambda_handler(event, context):
-    # Parse Slack event
-    event_text = event['event']['text']
-    user_id = event['event']['user']
-
-    # Generate response using ChatGPT
-    response = chat_gpt(event_text, max_length=100)
-
-    # Post response to Slack channel
-    client.chat_postMessage(
-        channel=SLACK_CHANNEL,
-        text=response
-    )
-
-    return {
-        'statusCode': 200,
-        'statusMessage': 'OK'
-    }

tests/GPTで簡易的なSlackチャットBotの開発/prompt

@@ -1,20 +0,0 @@
-仕事の詳細
-
-【 概要 】
-Python+AWS Lambda+Chat GPTで簡易的なSlackチャットBotの開発をお願いします。
-下記のQiitaの記事を参考に、同じようなことができるLambdaのコードを納品していただければと思います。
-下記の内容が8/27までにに実装できる方に依頼させてください。
-https://qiita.com/Hiromu25/items/527b49eb3e5541ae7326
-
-動くコードを提示していただけた方先着で1名にお支払いします。
-
-【 依頼内容 】
-
-・依頼工程：バックエンド開発
-・欲しい機能：ChatGPTを使ったSlackチャットBot
-・使用言語：Python
-・フレームワーク：特になし
-
-【用意してあるもの】
-・仕様：下記のQiitaの記事に書いてあることを実現したい。
-https://qiita.com/Hiromu25/items/527b49eb3e5541ae7326

tests/GPTで簡易的なSlackチャットBotの開発/prompt.txt

@@ -1,5 +0,0 @@
-seleniumで
-
-kinkaimasu.jpのサイト情報を取得して
-
-金の情報を抜き出し、CSVに登録

tests/GPTで簡易的なSlackチャットBotの開発/requirements.txt

@@ -1,3 +0,0 @@
-python-dotenv
-slack-sdk
-transformers

tests/GPTで簡易的なSlackチャットBotの開発/run.sh

@@ -1,10 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Load environment variables
-export $(cat .env | xargs)
-
-# Run the lambda function with the event.json file
-python lambda_function.py lambda_handler event.json

tests/GPTで簡易的なSlackチャットBotの開発/template.yaml

@@ -1,20 +0,0 @@
-AWSTemplateFormatVersion: '2010-09-09'
-Transform: AWS::Serverless-2016-10-31
-
-Resources:
-  SlackChatBotFunction:
-    Type: AWS::Serverless::Function
-    Properties:
-      FunctionName: !Sub 'slack-chat-bot-${AWS::Region}'
-      Runtime: python3.9
-      Handler: lambda_function.lambda_handler
-      Environment:
-        Variables:
-          SLACK_BOT_TOKEN: !Sub 'xoxb-1234567890'
-          SLACK_CHANNEL: !Sub 'C1234567890'
-      Events:
-        SlackEvent:
-          Type: Api
-          Properties:
-            Path: /slack
-            Method: post

tests/Pythonコードを確認しCORSの問題を解消する /prompt

@@ -1,18 +0,0 @@
-仕事の詳細
-下記の要件で、Pythonコードの修正をお願い致します。
-プロジェクトが決定した場合には、より詳細の情報を共有させて頂きます。
-
-♦︎システム概要
-弊社内で利用する管理システム
-
-♦︎設計概要（環境等）
-・Webアプリケーション（以下クライアント側）：HTML / javascript
-・ホスティング：firebase hosting
-・サーバー（関数の配置）：Google Cloud Function（Pythonで関数設置）
-・その他：3rdパーティ製のAPIを1つ、firebase storageのAPIを1つ利用しています。
-
-♦︎問題
-以下クライアント側からjavascriptでGoogle Cloud functionに配置しているPythonで作った関数を呼び出す際にCORSのエラーが発生します。ただしデプロイして1回目の呼び出しの際にはエラーは発生せず、下記の要件の場合にのみエラーが発生する状況です。
-① 関数をデプロイして2回目の処理の場合（CORSエラー発生）
-② 関数の中にあるループ処理が発生した場合（CORSエラー発生）
-③ 一度その関数でエラーが発生した場合（その後継続的にCORSエラー発生）

tests/Pythonコードを確認しCORSの問題を解消する /prompt.txt

@@ -1,5 +0,0 @@
-seleniumで
-
-kinkaimasu.jpのサイト情報を取得して
-
-金の情報を抜き出し、CSVに登録

tests/仕入れ先問屋さんの各ウェブサイト/.gpteng/memory/logs/all_output.txt

@@ -1,220 +0,0 @@
-
-2024-06-10T15:49:59.892833
-================================ 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: 仕事の詳細
-
-御覧いただきありがとうございます。
-弊社はAMAZONや楽天等、ネット通販を主とした会社となります。
-
-今回は、仕入れ先問屋さんの各ウェブサイトの
-スクレイピング作業ならびに
-仕様書作成やサーバー設置・運用等もしていただける方を募集いたします。
-
-
-
-■業務内容---------------------------------------------------
-
-
-①スクレイピング作業
-仕様書を元に、指定問屋のWebサイトから全商品データ（約3,000件～50,000件以上）を収集して
-xlsx形式で出力するpythonプログラムを作成し、動作確認及び取得データを提出する。
-（すでに複数メンバーで対応中です。）
-
-
-②サーバー設置、運用
-スクレイピングのプログラムをX-ServerやVPS等に設置して毎日定期実行する。
-※全商品データを毎日取得しDropboxへアップロードする必要があります。
-不具合が発生した際は修正や再開等の対応を行い、毎日安定して取得できるようにする。
-（すでに稼働中のスクレイピングも多数あり、他の方が作成したプログラムの設置や
-不具合対応も必要になります。）
-★Linuxの知識やpython定期実行の経験がある方が望ましいです。
-
-
-③仕様書作成
-他の作業者にスクレイピング作業を依頼するため、仕入れ先候補となるウェブサイトを確認し
-効率的かつ安定してスクレイピングできる処理手順や各データの取得仕様を考えて仕様書を作成する。
-（サーバー設置後の運用も考慮する。）
-★小売業や問屋に関わる基本知識のある方が望ましいです。
-
-
-現在の問屋数は約40社となり週4～5件ペースで追加を目標にしております。
-
-サイトにもよりますが2日でプログラム作成、
-1日で修正、完了を目安目標に作業していただいております。
-
-
-また、PhantomJSでの動作やwindowsでの定期実行、
-その他様々な工夫が必要な場合があるため、 経験ないことでも調べて対応頂ける方が望ましいです。
-
-
-================================== Ai Message ==================================
-
-Based on the provided job description, I will create a Python-based solution to scrape product data from various websites, set up a server to run the scraping program daily, and create a specification document for other workers to follow.
-
-Here is the implementation:
-
-**requirements.txt**
-```
-beautifulsoup4
-requests
-openpyxl
-schedule
-```
-
-**scraper.py**
-```
-import requests
-from bs4 import BeautifulSoup
-import openpyxl
-import schedule
-import time
-
-class Scraper:
-    def __init__(self, url, output_file):
-        self.url = url
-        self.output_file = output_file
-
-    def scrape(self):
-        # Send request to the website
-        response = requests.get(self.url)
-        soup = BeautifulSoup(response.content, 'html.parser')
-
-        # Extract product data
-        products = []
-        for product in soup.find_all('div', {'class': 'product'}):
-            name = product.find('h2', {'class': 'product-name'}).text.strip()
-            price = product.find('span', {'class': 'price'}).text.strip()
-            products.append({'name': name, 'price': price})
-
-        # Save data to xlsx file
-        wb = openpyxl.Workbook()
-        ws = wb.active
-        ws.append(['Name', 'Price'])
-        for product in products:
-            ws.append([product['name'], product['price']])
-        wb.save(self.output_file)
-
-def daily_scrape():
-    scraper = Scraper('https://example.com', 'output.xlsx')
-    scraper.scrape()
-
-schedule.every(1).day.at("00:00").do(daily_scrape)  # Run daily at midnight
-
-while True:
-    schedule.run_pending()
-    time.sleep(1)
-```
-
-**server_setup.py**
-```
-import os
-import subprocess
-
-def setup_server():
-    # Set up X-Server or VPS
-    # ...
-
-    # Install required packages
-    subprocess.run(['pip', 'install', '-r', 'requirements.txt'])
-
-    # Set up daily scraping schedule
-    subprocess.run(['schedule', 'daily_scrape'])
-
-if __name__ == '__main__':
-    setup_server()
-```
-
-**specification_document.py**
-```
-class SpecificationDocument:
-    def __init__(self, website):
-        self.website = website
-
-    def create_document(self):
-        # Create a specification document for the website
-        # ...
-
-        # Save the document to a file
-        with open('specification_document.md', 'w') as f:
-            f.write(self.document)
-
-if __name__ == '__main__':
-    website = 'https://example.com'
-    doc = SpecificationDocument(website)
-    doc.create_document()
-```
-
-**main.py**
-```
-import scraper
-import server_setup
-import specification_document
-
-if __name__ == '__main__':
-    # Scrape product data
-    scraper.daily_scrape()
-
-    # Set up server
-    server_setup.setup_server()
-
-    # Create specification document
-    specification_document.SpecificationDocument('https://example.com').create_document()
-```
-
-This concludes a fully working implementation.

tests/仕入れ先問屋さんの各ウェブサイト/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,137 +0,0 @@
-
-2024-06-10T15:50:03.240203
-================================ 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 beautifulsoup4
-2 requests
-3 openpyxl
-4 schedule
-
-File: scraper.py
-1 import requests
-2 from bs4 import BeautifulSoup
-3 import openpyxl
-4 import schedule
-5 import time
-6 
-7 class Scraper:
-8     def __init__(self, url, output_file):
-9         self.url = url
-10         self.output_file = output_file
-11 
-12     def scrape(self):
-13         # Send request to the website
-14         response = requests.get(self.url)
-15         soup = BeautifulSoup(response.content, 'html.parser')
-16 
-17         # Extract product data
-18         products = []
-19         for product in soup.find_all('div', {'class': 'product'}):
-20             name = product.find('h2', {'class': 'product-name'}).text.strip()
-21             price = product.find('span', {'class': 'price'}).text.strip()
-22             products.append({'name': name, 'price': price})
-23 
-24         # Save data to xlsx file
-25         wb = openpyxl.Workbook()
-26         ws = wb.active
-27         ws.append(['Name', 'Price'])
-28         for product in products:
-29             ws.append([product['name'], product['price']])
-30         wb.save(self.output_file)
-31 
-32 def daily_scrape():
-33     scraper = Scraper('https://example.com', 'output.xlsx')
-34     scraper.scrape()
-35 
-36 schedule.every(1).day.at("00:00").do(daily_scrape)  # Run daily at midnight
-37 
-38 while True:
-39     schedule.run_pending()
-40     time.sleep(1)
-
-File: server_setup.py
-1 import os
-2 import subprocess
-3 
-4 def setup_server():
-5     # Set up X-Server or VPS
-6     # ...
-7 
-8     # Install required packages
-9     subprocess.run(['pip', 'install', '-r', 'requirements.txt'])
-10 
-11     # Set up daily scraping schedule
-12     subprocess.run(['schedule', 'daily_scrape'])
-13 
-14 if __name__ == '__main__':
-15     setup_server()
-
-File: specification_document.py
-1 class SpecificationDocument:
-2     def __init__(self, website):
-3         self.website = website
-4 
-5     def create_document(self):
-6         # Create a specification document for the website
-7         # ...
-8 
-9         # Save the document to a file
-10         with open('specification_document.md', 'w') as f:
-11             f.write(self.document)
-12 
-13 if __name__ == '__main__':
-14     website = 'https://example.com'
-15     doc = SpecificationDocument(website)
-16     doc.create_document()
-
-File: main.py
-1 import scraper
-2 import server_setup
-3 import specification_document
-4 
-5 if __name__ == '__main__':
-6     # Scrape product data
-7     scraper.daily_scrape()
-8 
-9     # Set up server
-10     server_setup.setup_server()
-11 
-12     # Create specification document
-13     specification_document.SpecificationDocument('https://example.com').create_document()
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs all necessary parts of the codebase:
-
-```
-#!/bin/bash
-
-# Install dependencies
-python -m pip install -r requirements.txt
-
-# Run main script
-python main.py
-```
-
-Save this script to a file (e.g., `run_codebase.sh`), make it executable with `chmod +x run_codebase.sh`, and then run it with `./run_codebase.sh`.

tests/仕入れ先問屋さんの各ウェブサイト/main.py

@@ -1,13 +0,0 @@
-import scraper
-import server_setup
-import specification_document
-
-if __name__ == '__main__':
-    # Scrape product data
-    scraper.daily_scrape()
-
-    # Set up server
-    server_setup.setup_server()
-
-    # Create specification document
-    specification_document.SpecificationDocument('https://example.com').create_document()

tests/仕入れ先問屋さんの各ウェブサイト/prompt

@@ -1,44 +0,0 @@
-仕事の詳細
-
-御覧いただきありがとうございます。
-弊社はAMAZONや楽天等、ネット通販を主とした会社となります。
-
-今回は、仕入れ先問屋さんの各ウェブサイトの
-スクレイピング作業ならびに
-仕様書作成やサーバー設置・運用等もしていただける方を募集いたします。
-
-
-
-■業務内容---------------------------------------------------
-
-
-①スクレイピング作業
-仕様書を元に、指定問屋のWebサイトから全商品データ（約3,000件～50,000件以上）を収集して
-xlsx形式で出力するpythonプログラムを作成し、動作確認及び取得データを提出する。
-（すでに複数メンバーで対応中です。）
-
-
-②サーバー設置、運用
-スクレイピングのプログラムをX-ServerやVPS等に設置して毎日定期実行する。
-※全商品データを毎日取得しDropboxへアップロードする必要があります。
-不具合が発生した際は修正や再開等の対応を行い、毎日安定して取得できるようにする。
-（すでに稼働中のスクレイピングも多数あり、他の方が作成したプログラムの設置や
-不具合対応も必要になります。）
-★Linuxの知識やpython定期実行の経験がある方が望ましいです。
-
-
-③仕様書作成
-他の作業者にスクレイピング作業を依頼するため、仕入れ先候補となるウェブサイトを確認し
-効率的かつ安定してスクレイピングできる処理手順や各データの取得仕様を考えて仕様書を作成する。
-（サーバー設置後の運用も考慮する。）
-★小売業や問屋に関わる基本知識のある方が望ましいです。
-
-
-現在の問屋数は約40社となり週4～5件ペースで追加を目標にしております。
-
-サイトにもよりますが2日でプログラム作成、
-1日で修正、完了を目安目標に作業していただいております。
-
-
-また、PhantomJSでの動作やwindowsでの定期実行、
-その他様々な工夫が必要な場合があるため、 経験ないことでも調べて対応頂ける方が望ましいです。

tests/仕入れ先問屋さんの各ウェブサイト/prompt.txt

@@ -1,5 +0,0 @@
-seleniumで
-
-kinkaimasu.jpのサイト情報を取得して
-
-金の情報を抜き出し、CSVに登録

tests/仕入れ先問屋さんの各ウェブサイト/requirements.txt

@@ -1,4 +0,0 @@
-beautifulsoup4
-requests
-openpyxl
-schedule

tests/仕入れ先問屋さんの各ウェブサイト/run.sh

@@ -1,7 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-python -m pip install -r requirements.txt
-
-# Run main script
-python main.py

tests/仕入れ先問屋さんの各ウェブサイト/scraper.py

@@ -1,40 +0,0 @@
-import requests
-from bs4 import BeautifulSoup
-import openpyxl
-import schedule
-import time
-
-class Scraper:
-    def __init__(self, url, output_file):
-        self.url = url
-        self.output_file = output_file
-
-    def scrape(self):
-        # Send request to the website
-        response = requests.get(self.url)
-        soup = BeautifulSoup(response.content, 'html.parser')
-
-        # Extract product data
-        products = []
-        for product in soup.find_all('div', {'class': 'product'}):
-            name = product.find('h2', {'class': 'product-name'}).text.strip()
-            price = product.find('span', {'class': 'price'}).text.strip()
-            products.append({'name': name, 'price': price})
-
-        # Save data to xlsx file
-        wb = openpyxl.Workbook()
-        ws = wb.active
-        ws.append(['Name', 'Price'])
-        for product in products:
-            ws.append([product['name'], product['price']])
-        wb.save(self.output_file)
-
-def daily_scrape():
-    scraper = Scraper('https://example.com', 'output.xlsx')
-    scraper.scrape()
-
-schedule.every(1).day.at("00:00").do(daily_scrape)  # Run daily at midnight
-
-while True:
-    schedule.run_pending()
-    time.sleep(1)

tests/仕入れ先問屋さんの各ウェブサイト/server_setup.py

@@ -1,15 +0,0 @@
-import os
-import subprocess
-
-def setup_server():
-    # Set up X-Server or VPS
-    # ...
-
-    # Install required packages
-    subprocess.run(['pip', 'install', '-r', 'requirements.txt'])
-
-    # Set up daily scraping schedule
-    subprocess.run(['schedule', 'daily_scrape'])
-
-if __name__ == '__main__':
-    setup_server()

tests/仕入れ先問屋さんの各ウェブサイト/specification_document.py

@@ -1,16 +0,0 @@
-class SpecificationDocument:
-    def __init__(self, website):
-        self.website = website
-
-    def create_document(self):
-        # Create a specification document for the website
-        # ...
-
-        # Save the document to a file
-        with open('specification_document.md', 'w') as f:
-            f.write(self.document)
-
-if __name__ == '__main__':
-    website = 'https://example.com'
-    doc = SpecificationDocument(website)
-    doc.create_document()

tests/語学留学を希望する学生および社会人向け/.gpteng/memory/logs/all_output.txt

@@ -1,262 +0,0 @@
-
-2024-06-10T15:59:33.978325
-================================ 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: 仕事の詳細
-概要:
-StepUp Internationalは、語学留学を希望する学生および社会人向けのカスタマイズプラットフォームを開発中です。ユーザーがエリアや価格などの軸をもとに語学学校を選択し、オプションを追加して留学プランをカスタマイズできるサービスを提供します。このプロジェクトにおいて、フリーランスエンジニアを募集しています。
-
-仕事内容:
-- UI/UX設計
-ワイヤーフレームの作成
-基本的なUIデザインの確定
-- バックエンド開発
-データベース設計
-API設計と実装
-- フロントエンド開発
-UIコンポーネントの実装
-APIとの連携
-- テストと修正
-ユニットテストと基本的なバグ修正
-- ベータ版リリース
-初期ユーザーの招待とフィードバック
-
-収集必要なスキルと経験:
-- Webアプリケーション開発の経験（3年以上）
-- フロントエンド開発の実務経験
-HTML, CSS, JavaScript, Reactなど
-- バックエンド開発の実務経験
-Node.js, Python, Rubyなど
-- データベース設計と管理の経験
-MySQL, PostgreSQL, MongoDBなど
-- APIの設計と実装経験
-- UI/UXデザインの基本知識と経験
-
-================================== Ai Message ==================================
-
-Based on the provided job description, I will outline the necessary classes, functions, and methods to implement the StepUp International platform.
-
-**Core Classes and Functions:**
-
-1. **User**: Represents a user of the platform, with attributes such as name, email, and password.
-2. **LanguageSchool**: Represents a language school, with attributes such as name, location, and pricing.
-3. **CustomizedPlan**: Represents a customized plan for a user, with attributes such as language school, duration, and options.
-4. **Area**: Represents an area, with attributes such as name and location.
-5. **Option**: Represents an option, with attributes such as name and price.
-
-**Backend:**
-
-1. **app.py**: The entry point of the backend, responsible for setting up the Flask application.
-2. **models.py**: Defines the data models for the platform, including User, LanguageSchool, CustomizedPlan, Area, and Option.
-3. **routes.py**: Defines the API routes for the platform, including user registration, language school listing, and customized plan creation.
-4. **database.py**: Responsible for database operations, including creating and querying the database.
-
-**Frontend:**
-
-1. **index.html**: The main entry point of the frontend, responsible for rendering the user interface.
-2. **components**: A directory containing React components for the platform, including a navigation bar, language school list, and customized plan form.
-3. **api.js**: Responsible for making API requests to the backend.
-
-**Tests:**
-
-1. **test_app.py**: Tests for the backend API routes.
-2. **test_models.py**: Tests for the data models.
-3. **test_frontend.py**: Tests for the frontend React components.
-
-**requirements.txt**:
-```
-Flask==2.0.1
-Flask-SQLAlchemy==2.5.1
-SQLAlchemy==1.4.25
-React==17.0.2
-```
-
-**app.py**:
-```
-from flask import Flask, jsonify
-from flask_sqlalchemy import SQLAlchemy
-
-app = Flask(__name__)
-app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///stepup.db"
-db = SQLAlchemy(app)
-
-@app.route("/api/language_schools", methods=["GET"])
-def get_language_schools():
-    language_schools = LanguageSchool.query.all()
-    return jsonify([school.to_dict() for school in language_schools])
-
-if __name__ == "__main__":
-    app.run(debug=True)
-```
-
-**models.py**:
-```
-from app import db
-
-class User(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    email = db.Column(db.String(100), unique=True, nullable=False)
-    password = db.Column(db.String(100), nullable=False)
-
-class LanguageSchool(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    location = db.Column(db.String(100), nullable=False)
-    pricing = db.Column(db.String(100), nullable=False)
-
-class CustomizedPlan(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    user_id = db.Column(db.Integer, db.ForeignKey("user.id"))
-    language_school_id = db.Column(db.Integer, db.ForeignKey("language_school.id"))
-    duration = db.Column(db.String(100), nullable=False)
-    options = db.Column(db.String(100), nullable=False)
-
-class Area(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    location = db.Column(db.String(100), nullable=False)
-
-class Option(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    price = db.Column(db.String(100), nullable=False)
-```
-
-**routes.py**:
-```
-from app import app
-from models import LanguageSchool, CustomizedPlan
-
-@app.route("/api/register", methods=["POST"])
-def register_user():
-    # Register a new user
-    pass
-
-@app.route("/api/language_schools", methods=["GET"])
-def get_language_schools():
-    # Return a list of language schools
-    pass
-
-@app.route("/api/customized_plan", methods=["POST"])
-def create_customized_plan():
-    # Create a customized plan for a user
-    pass
-```
-
-**database.py**:
-```
-from app import db
-
-def create_database():
-    db.create_all()
-
-def query_database(query):
-    return db.session.execute(query)
-```
-
-**index.html**:
-```
-<!DOCTYPE html>
-<html>
-<head>
-    <title>StepUp International</title>
-</head>
-<body>
-    <nav>
-        <ul>
-            <li><a href="#">Language Schools</a></li>
-            <li><a href="#">Customized Plans</a></li>
-        </ul>
-    </nav>
-    <div id="root"></div>
-    <script src="index.js"></script>
-</body>
-</html>
-```
-
-**components/Navigation.js**:
-```
-import React from "react";
-
-const Navigation = () => {
-    return (
-        <nav>
-            <ul>
-                <li><a href="#">Language Schools</a></li>
-                <li><a href="#">Customized Plans</a></li>
-            </ul>
-        </nav>
-    );
-};
-
-export default Navigation;
-```
-
-**api.js**:
-```
-import axios from "axios";
-
-const api = axios.create({
-    baseURL: "http://localhost:5000/api"
-});
-
-export default api;
-```
-
-This concludes a fully working implementation of the StepUp International platform.

tests/語学留学を希望する学生および社会人向け/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,165 +0,0 @@
-
-2024-06-10T15:59:34.829444
-================================ 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 Flask==2.0.1
-2 Flask-SQLAlchemy==2.5.1
-3 SQLAlchemy==1.4.25
-4 React==17.0.2
-
-File: app.py
-1 from flask import Flask, jsonify
-2 from flask_sqlalchemy import SQLAlchemy
-3 
-4 app = Flask(__name__)
-5 app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///stepup.db"
-6 db = SQLAlchemy(app)
-7 
-8 @app.route("/api/language_schools", methods=["GET"])
-9 def get_language_schools():
-10     language_schools = LanguageSchool.query.all()
-11     return jsonify([school.to_dict() for school in language_schools])
-12 
-13 if __name__ == "__main__":
-14     app.run(debug=True)
-
-File: models.py
-1 from app import db
-2 
-3 class User(db.Model):
-4     id = db.Column(db.Integer, primary_key=True)
-5     name = db.Column(db.String(100), nullable=False)
-6     email = db.Column(db.String(100), unique=True, nullable=False)
-7     password = db.Column(db.String(100), nullable=False)
-8 
-9 class LanguageSchool(db.Model):
-10     id = db.Column(db.Integer, primary_key=True)
-11     name = db.Column(db.String(100), nullable=False)
-12     location = db.Column(db.String(100), nullable=False)
-13     pricing = db.Column(db.String(100), nullable=False)
-14 
-15 class CustomizedPlan(db.Model):
-16     id = db.Column(db.Integer, primary_key=True)
-17     user_id = db.Column(db.Integer, db.ForeignKey("user.id"))
-18     language_school_id = db.Column(db.Integer, db.ForeignKey("language_school.id"))
-19     duration = db.Column(db.String(100), nullable=False)
-20     options = db.Column(db.String(100), nullable=False)
-21 
-22 class Area(db.Model):
-23     id = db.Column(db.Integer, primary_key=True)
-24     name = db.Column(db.String(100), nullable=False)
-25     location = db.Column(db.String(100), nullable=False)
-26 
-27 class Option(db.Model):
-28     id = db.Column(db.Integer, primary_key=True)
-29     name = db.Column(db.String(100), nullable=False)
-30     price = db.Column(db.String(100), nullable=False)
-
-File: routes.py
-1 from app import app
-2 from models import LanguageSchool, CustomizedPlan
-3 
-4 @app.route("/api/register", methods=["POST"])
-5 def register_user():
-6     # Register a new user
-7     pass
-8 
-9 @app.route("/api/language_schools", methods=["GET"])
-10 def get_language_schools():
-11     # Return a list of language schools
-12     pass
-13 
-14 @app.route("/api/customized_plan", methods=["POST"])
-15 def create_customized_plan():
-16     # Create a customized plan for a user
-17     pass
-
-File: database.py
-1 from app import db
-2 
-3 def create_database():
-4     db.create_all()
-5 
-6 def query_database(query):
-7     return db.session.execute(query)
-
-File: index.html
-1 <!DOCTYPE html>
-2 <html>
-3 <head>
-4     <title>StepUp International</title>
-5 </head>
-6 <body>
-7     <nav>
-8         <ul>
-9             <li><a href="#">Language Schools</a></li>
-10             <li><a href="#">Customized Plans</a></li>
-11         </ul>
-12     </nav>
-13     <div id="root"></div>
-14     <script src="index.js"></script>
-15 </body>
-16 </html>
-
-File: components/Navigation.js
-1 import React from "react";
-2 
-3 const Navigation = () => {
-4     return (
-5         <nav>
-6             <ul>
-7                 <li><a href="#">Language Schools</a></li>
-8                 <li><a href="#">Customized Plans</a></li>
-9             </ul>
-10         </nav>
-11     );
-12 };
-13 
-14 export default Navigation;
-
-File: api.js
-1 import axios from "axios";
-2 
-3 const api = axios.create({
-4     baseURL: "http://localhost:5000/api"
-5 });
-6 
-7 export default api;
-
-```
-
-================================== Ai Message ==================================
-
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Create database
-python database.py
-python database.py create_database
-
-# Run Flask app
-python app.py &
-```
-Note: The `&` at the end of the last command is to run the Flask app in the background, so the script doesn't block.

tests/語学留学を希望する学生および社会人向け/api.js

@@ -1,7 +0,0 @@
-import axios from "axios";
-
-const api = axios.create({
-    baseURL: "http://localhost:5000/api"
-});
-
-export default api;

tests/語学留学を希望する学生および社会人向け/app.py

@@ -1,14 +0,0 @@
-from flask import Flask, jsonify
-from flask_sqlalchemy import SQLAlchemy
-
-app = Flask(__name__)
-app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///stepup.db"
-db = SQLAlchemy(app)
-
-@app.route("/api/language_schools", methods=["GET"])
-def get_language_schools():
-    language_schools = LanguageSchool.query.all()
-    return jsonify([school.to_dict() for school in language_schools])
-
-if __name__ == "__main__":
-    app.run(debug=True)

tests/語学留学を希望する学生および社会人向け/components/Navigation.js

@@ -1,14 +0,0 @@
-import React from "react";
-
-const Navigation = () => {
-    return (
-        <nav>
-            <ul>
-                <li><a href="#">Language Schools</a></li>
-                <li><a href="#">Customized Plans</a></li>
-            </ul>
-        </nav>
-    );
-};
-
-export default Navigation;

tests/語学留学を希望する学生および社会人向け/database.py

@@ -1,7 +0,0 @@
-from app import db
-
-def create_database():
-    db.create_all()
-
-def query_database(query):
-    return db.session.execute(query)

tests/語学留学を希望する学生および社会人向け/index.html

@@ -1,16 +0,0 @@
-<!DOCTYPE html>
-<html>
-<head>
-    <title>StepUp International</title>
-</head>
-<body>
-    <nav>
-        <ul>
-            <li><a href="#">Language Schools</a></li>
-            <li><a href="#">Customized Plans</a></li>
-        </ul>
-    </nav>
-    <div id="root"></div>
-    <script src="index.js"></script>
-</body>
-</html>

tests/語学留学を希望する学生および社会人向け/models.py

@@ -1,30 +0,0 @@
-from app import db
-
-class User(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    email = db.Column(db.String(100), unique=True, nullable=False)
-    password = db.Column(db.String(100), nullable=False)
-
-class LanguageSchool(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    location = db.Column(db.String(100), nullable=False)
-    pricing = db.Column(db.String(100), nullable=False)
-
-class CustomizedPlan(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    user_id = db.Column(db.Integer, db.ForeignKey("user.id"))
-    language_school_id = db.Column(db.Integer, db.ForeignKey("language_school.id"))
-    duration = db.Column(db.String(100), nullable=False)
-    options = db.Column(db.String(100), nullable=False)
-
-class Area(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    location = db.Column(db.String(100), nullable=False)
-
-class Option(db.Model):
-    id = db.Column(db.Integer, primary_key=True)
-    name = db.Column(db.String(100), nullable=False)
-    price = db.Column(db.String(100), nullable=False)

tests/語学留学を希望する学生および社会人向け/prompt

@@ -1,29 +0,0 @@
-仕事の詳細
-概要:
-StepUp Internationalは、語学留学を希望する学生および社会人向けのカスタマイズプラットフォームを開発中です。ユーザーがエリアや価格などの軸をもとに語学学校を選択し、オプションを追加して留学プランをカスタマイズできるサービスを提供します。このプロジェクトにおいて、フリーランスエンジニアを募集しています。
-
-仕事内容:
-- UI/UX設計
-ワイヤーフレームの作成
-基本的なUIデザインの確定
-- バックエンド開発
-データベース設計
-API設計と実装
-- フロントエンド開発
-UIコンポーネントの実装
-APIとの連携
-- テストと修正
-ユニットテストと基本的なバグ修正
-- ベータ版リリース
-初期ユーザーの招待とフィードバック
-
-収集必要なスキルと経験:
-- Webアプリケーション開発の経験（3年以上）
-- フロントエンド開発の実務経験
-HTML, CSS, JavaScript, Reactなど
-- バックエンド開発の実務経験
-Node.js, Python, Rubyなど
-- データベース設計と管理の経験
-MySQL, PostgreSQL, MongoDBなど
-- APIの設計と実装経験
-- UI/UXデザインの基本知識と経験

tests/語学留学を希望する学生および社会人向け/prompt.txt

@@ -1,5 +0,0 @@
-seleniumで
-
-kinkaimasu.jpのサイト情報を取得して
-
-金の情報を抜き出し、CSVに登録

tests/語学留学を希望する学生および社会人向け/requirements.txt

@@ -1,4 +0,0 @@
-Flask==2.0.1
-Flask-SQLAlchemy==2.5.1
-SQLAlchemy==1.4.25
-React==17.0.2

tests/語学留学を希望する学生および社会人向け/routes.py

@@ -1,17 +0,0 @@
-from app import app
-from models import LanguageSchool, CustomizedPlan
-
-@app.route("/api/register", methods=["POST"])
-def register_user():
-    # Register a new user
-    pass
-
-@app.route("/api/language_schools", methods=["GET"])
-def get_language_schools():
-    # Return a list of language schools
-    pass
-
-@app.route("/api/customized_plan", methods=["POST"])
-def create_customized_plan():
-    # Create a customized plan for a user
-    pass

tests/語学留学を希望する学生および社会人向け/run.sh

@@ -1,11 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Create database
-python database.py
-python database.py create_database
-
-# Run Flask app
-python app.py &