PTG_requests

PTG_requests is a Python library developed by Paras tech industries designed to streamline HTTP workflows for AI prompt interactions, cloud storage batch uploads/downloads, and HTML code fetching.

Features

AI Interaction Pipeline: Seamlessly ingest prompt files and send structured payloads to AI APIs with token authentication.

Cloud Batch Operations: Upload and download groups of project files (HTML, JS, Python scripts) using declarative file maps.

HTML Fetcher: Quick web extraction utility for scraping and retrieving page source code.

Built on requests: Robust connection management and error handling.

Installation

From Source

Clone the repository or extract the package, then run:

pip install .

In Development Mode

pip install -e .

Quickstart

1. AI API Request Workflow

Send a prompt stored in a local text file directly to an AI API endpoint:

from PTG_requests import PTG

Initialize client

client = PTG()

Configure and send prompt

client.send.file_path = "Prompt.txt" client.send.add = "your-api-key-here" response = client.send("https://example.com/AI/API/chat/v1/")

print("AI Response:", response.json())

2. Cloud Batch File Synchronization

Uploading Multiple Files

Upload project files in batches using key-value path mapping:

from PTG_requests import Data

data_client = Data()

Define the file list to upload

data_client.send.list(""" "index.html"="C:/projects/web/index.html" "main.py"="C:/projects/web/main.py" "App.js"="C:/projects/web/App.js" """)

Attach authentication key and destination

data_client.send.add = "your-api-key-here" data_client.send("https://example.com/cloud/upload")

Downloading and Saving Files

Download remote files and extract them into a target directory:

from PTG_requests import Data

data_client = Data()

Target endpoints and credentials

data_client.get.add = ("https://example.com/cloud/files", "your-api-key-here")

Define files to retrieve

data_client.get.list(""" "index.html" "main.py" "App.js" """)

Download and persist to local storage

data_client.get.save("./downloaded_files/")

3. Fetching Raw HTML

Retrieve website markup directly:

from PTG_requests import PTG

ptg = PTG() ptg.fetch.URL = "https://example.com" html_code = ptg.fetch.execute()

print(html_code[:500])

Requirements

Python >= 3.8

requests >= 2.28.0

Support & Contact

Author: Paras tech industries

Email: Parastechindustrieshelp@gmail.com

License

This project is licensed under the MIT License - see the LICENSE.txt file for details.