Doing it for my blog called "cutepets"

Im building a blog posting bot that can automatically post cute pets to my blog, by the way hive watchers im not doing this to annoy you im doing this for educational purposes.
Ive made a set of instructions with the help of chatgpt, also chatgpt made me a plain skeleton code wich is nearly all the code i need but not finished. The idea is going through the instructions with chatgpt to turn my skeleton code into the real code i need.

Instructions:
Here's a simplified set of instructions to help you build your Hive.blog blogging bot from the skeleton provided:

Step-by-Step Guide to Build Your Blogging Bot:

1. Set Up Your Development Environment:
   Python: Ensure Python is installed on your computer. You can download it from python.org.
   IDE: Use a simple IDE like Visual Studio Code or PyCharm (Community Edition is free).

2. Install Necessary Libraries:
   Open your command line or terminal.
   Run these commands to install the libraries:
   pip install hiveengine
   pip install asyncio

3. Configure Your Hive Account:
   HIVE_NODE_URL: Change this to a reliable Hive node API endpoint.
   BLOG_ACCOUNT: Replace with your Hive account name.
   POSTING_KEY: Use your Hive posting key. Keep this secure!

4. Understanding the Skeleton:
   Functions:
   connect_to_hive(): Connects to the Hive network.
   generate_content(): Placeholder for content generation. You'll need to implement this with an AI model.
   post_content(): Posts to Hive.blog using the Hive API.
   blogging_loop(): Manages the timing and loop for posting.

5. Implement Content Generation:
   AI Integration:
   Decide on an AI service (like OpenAI's API if you have access) or a local model.
   In generate_content(), you would call this AI service to create text. Here's a simple instruction to give to your AI:
   "Create a blog post about [topic] that's engaging and informative, with between 200-1000 words."
   Placeholders: For testing, you can use placeholder text or simple string formatting until you integrate AI.

6. Test Your Connection:
   Comment out the blogging_loop() for now.
   Run your script to test if connect_to_hive() works. Check if you see "Connected to Hive node and wallet unlocked." in your console.

7. Add Basic Posting Logic:
   Once connection works, uncomment blogging_loop().
   Ensure post_content() function works by manually creating a test post with static content.

8. Timing and Loop:
   Adjust POSTING_INTERVAL to how often you want posts to be published. Remember, too frequent posts might not be well-received.

9. Debug and Refine:
   Use print statements or logging to track what's happening in your script.
   If you encounter errors, Google them or look in the documentation of the libraries you're using.

10. AI Integration:
    Replace the placeholder in generate_content() with actual AI calls. This might involve:
    Setting up an API key for your AI service.
    Implementing error handling for API calls.

11. Security:
    Never share your posting key publicly. Use environment variables or a secure configuration file.

12. Deploy and Monitor:
    Once you're happy with local testing, you might want to run this on a server or a cloud service like Heroku for continuous operation.
    Keep an eye on the bot's activity to ensure it behaves as expected.

This guide should give you a starting point. Remember, programming involves a lot of trial and error, especially when you're a beginner. Don't get discouraged if things don't work right away!

Im using Pycode (but any python coding app will work)
Here's the skeleton code:

1. Configuration & Constants

HIVE_NODE_URL = "https://api.hive.blog"
BLOG_ACCOUNT = "your_hive_account"
POSTING_KEY = "your_posting_key"

Posting intervals

POSTING_INTERVAL = 3600 # Time in seconds between posts (1 hour)

Content generation constants

MIN_POST_WORDS = 200
MAX_POST_WORDS = 1000

2. Imports

import asyncio
import time
import random
from hiveengine import HiveEngine # Assuming there's a library for Hive similar to BitShares
from hiveengine.account import Account
from hiveengine.post import Post

3. Logging Setup

import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(name)

4. Global Variables and Configuration

last_post_time = 0

5. Initialization & Connection

def connect_to_hive():
try:
hive = HiveEngine(HIVE_NODE_URL)
hive.wallet.unlock(POSTING_KEY) # This might be different in Hive, check the exact method
logger.info(f"Connected to Hive node and wallet unlocked.")
return hive
except Exception as e:
logger.error(f"Failed to connect to Hive node: {e}")
raise RuntimeError("Unable to connect to Hive node.")

6. Content Management

def generate_content(topic=None):
# Here, you would integrate with an AI model for content generation
# Placeholder for content generation logic
if not topic:
topic = random.choice(["Technology", "Cryptocurrency", "Decentralization", "AI"])

# Example placeholder for AI interaction:
# content = ai_model.generate_text(topic, min_words=MIN_POST_WORDS, max_words=MAX_POST_WORDS)

# For now, using dummy text:
content = f"This is a blog post about {topic}. It should be interesting and informative."
return content

async def post_content(hive, account, content, title=None):
try:
if not title:
title = "Automated Blog Post"

    post = Post(
        author=BLOG_ACCOUNT,
        title=title,
        body=content,
        tags=["hive", "blogging", "automation"]
    )
    await hive.post.submit(post)
    logger.info(f"Posted: {title}")
except Exception as e:
    logger.error(f"Failed to post content: {e}")

7. Main Blogging Loop

async def blogging_loop(hive, account):
global last_post_time

while True:
    now = time.time()
    if now - last_post_time >= POSTING_INTERVAL:
        content = generate_content()
        await post_content(hive, account, content)
        last_post_time = now
    
    await asyncio.sleep(60)  # Check every minute

8. Main Execution Function

async def main():
try:
hive = connect_to_hive()
account = Account(BLOG_ACCOUNT, hive_instance=hive)
logger.info(f"Connected to Hive account: {BLOG_ACCOUNT}")

    await blogging_loop(hive, account)
except Exception as e:
    logger.error(f"Critical error in main execution: {e}")
    raise e

Run the main function asynchronously

if name == "main":
try:
asyncio.run(main())
except Exception as e:
logger.error(f"Critical error in bot execution: {e}")