Initial commit: site code, layouts, content (images added separately)
Fixes duplicate placeholder cover image on the 3 newest blog posts, broken aspect-ratio classes on the albums listing page, and a non-responsive fixed sidebar on the chat page.
This commit is contained in:
Dr. Jones
320
scripts/generate_blog_post.py
Executable file
320
scripts/generate_blog_post.py
Executable file
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#!/usr/bin/env python3
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"""
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Ollama Blog Post Generator
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This script generates a new blog post using Ollama's drjones-posts-to-much model
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and adds it to the Hugo blog. It runs automatically every 3 days via systemd timer.
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The script uses random prompt variations to ensure each blog post is unique.
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The model generates titles with credentials, which are automatically extracted
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and separated from the article content.
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Usage:
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python3 generate_blog_post.py
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Configuration:
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- Ollama endpoint: 10.30.20.110:11434
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- Model: drjones-posts-to-much
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- Blog directory: /root/hydro-sterile/content/blog/
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Error Handling:
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If the Ollama endpoint is down, the script fails quietly (exits with code 0)
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to prevent systemd from logging errors. It will retry in 3 days.
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Author: Dr. Jones
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"""
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import os
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import sys
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import json
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import random
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from datetime import datetime, timedelta
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from pathlib import Path
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try:
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from ollama import Client
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except ImportError:
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print("ERROR: ollama Python library not installed. Run: pip3 install ollama", file=sys.stderr)
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sys.exit(1)
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# Configuration
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OLLAMA_HOST = "http://10.30.20.110:11434"
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MODEL = "drjones-posts-to-much"
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BLOG_DIR = Path("/root/hydro-sterile/content/blog")
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SITE_DIR = Path("/root/hydro-sterile")
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# System prompt for generating blog posts
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SYSTEM_PROMPT = """You are Dr. Jones, a sterile hydroponics expert with 20 years of experience growing cannabis in a legal state.
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Your writing style is authentic, direct, and knowledgeable. You focus on sterile hydroponics methodology,
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growing techniques, and practical advice. Write blog posts that are:
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- 300-500 words
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- Focused on sterile hydroponics, cannabis cultivation, or related topics
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- Written in first person (I, me, my)
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- Practical and actionable
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- Authentic and conversational
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The model will generate a title with credentials, then the article content."""
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def get_next_post_number():
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"""Find the next available post number by checking existing posts."""
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existing_posts = list(BLOG_DIR.glob("post-*.md"))
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if not existing_posts:
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return 1
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numbers = []
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for post in existing_posts:
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try:
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# Extract number from filename like "post-1.md"
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num = int(post.stem.split("-")[1])
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numbers.append(num)
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except (ValueError, IndexError):
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continue
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return max(numbers) + 1 if numbers else 1
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def generate_filename(post_number):
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"""Generate the filename for a new post."""
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return BLOG_DIR / f"post-{post_number}.md"
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def create_frontmatter(title, summary, image_path=None):
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"""Create YAML frontmatter for Hugo blog post."""
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date_str = datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
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frontmatter = f"""---
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title: "{title}"
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date: {date_str}
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image: "{image_path or '/images/IMG_1767.jpeg'}"
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summary: "{summary}"
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---
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"""
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return frontmatter
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def generate_random_prompt():
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"""Generate a random prompt variation to ensure different content each time."""
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# Different ways to ask for hydroponics knowledge
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prompt_variations = [
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"Share your wisdom about sterile hydroponics. What insights can you offer growers today?",
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"I'm seeking your expertise on hydroponic cultivation. What knowledge can you impart?",
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"Please share your knowledge about sterile hydroponics systems. What should growers know?",
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"I need your guidance on hydroponic growing. What can you teach me today?",
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"What hydroponic wisdom can you share? I'm eager to learn from your experience.",
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"Please enlighten me about sterile hydroponics. What key insights do you have?",
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"I'm asking for your hydroponic expertise. What valuable knowledge can you provide?",
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"Share your hydroponic knowledge with me. What should I know about sterile systems?",
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"I'm seeking your hydroponic wisdom. What can you teach growers today?",
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"Please provide your insights on sterile hydroponics. What's important to know?",
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"What can you tell me about hydroponic cultivation? I'm looking for your expertise.",
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"I need your hydroponic knowledge. What guidance can you offer?",
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"Share your experience with sterile hydroponics. What should growers understand?",
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"I'm asking for your hydroponic insights. What knowledge can you share?",
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"Please enlighten me about hydroponic systems. What wisdom do you have?",
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]
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# Additional random elements to add variety
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topic_hints = [
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"",
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" Focus on practical techniques.",
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" Emphasize sterile methodology.",
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" Include real-world examples.",
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" Cover common mistakes to avoid.",
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" Discuss nutrient management.",
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" Talk about root health.",
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" Share system design tips.",
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" Address problem-solving.",
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" Include cultivation tips.",
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]
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# Random opening phrases
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openings = [
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"",
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"Today, ",
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"In this post, ",
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"Let me share ",
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"Here's what I know: ",
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]
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base_prompt = random.choice(prompt_variations)
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topic_hint = random.choice(topic_hints)
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opening = random.choice(openings)
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# Combine with some randomness
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full_prompt = opening + base_prompt + topic_hint
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return full_prompt
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def call_ollama():
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"""Call Ollama API to generate blog post content."""
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client = Client(host=OLLAMA_HOST)
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try:
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# Generate random prompt for variety
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user_prompt = generate_random_prompt()
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# Generate the blog post content
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response = client.chat(
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model=MODEL,
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messages=[
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": user_prompt}
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],
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options={
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"temperature": 0.8 + random.uniform(0, 0.2), # Random temperature between 0.8-1.0 for more variety
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"top_p": 0.9,
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"repeat_penalty": 1.5, # High repeat penalty to avoid repetitive content
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}
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)
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content = response.message.content
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return content
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except Exception as e:
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# Fail quietly - don't raise exception, just return None
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# This allows the script to exit gracefully when Ollama is down
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print(f"Warning: Could not connect to Ollama at {OLLAMA_HOST}: {e}", file=sys.stderr)
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return None
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def extract_title_and_summary(content):
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"""Extract title and summary from generated content.
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The model generates title with credentials, then the article.
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We need to separate these and extract just the title and article content.
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"""
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lines = content.strip().split('\n')
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# The model typically generates: "Title - Dr. Jones, Credentials\n\nArticle content"
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# Or: "Title\nDr. Jones, Credentials\n\nArticle content"
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# Or: "# Title\n\nDr. Jones, Credentials\n\nArticle content"
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title = ""
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article_start_idx = 0
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credentials_found = False
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# Look for title (usually first line or first few lines)
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# Title might be followed by credentials line, then blank line, then article
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for i, line in enumerate(lines):
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line_stripped = line.strip()
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# Skip empty lines at the start
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if not line_stripped:
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continue
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# If we haven't found title yet, this might be it
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if not title:
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# Remove markdown headers
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potential_title = line_stripped.replace('#', '').strip()
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# Check if this line contains credentials (common patterns)
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if any(cred in potential_title.lower() for cred in ['dr.', 'dr ', 'phd', 'ph.d', 'credentials', 'expert', 'years']):
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# This might be credentials, skip it and look for title before it
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if i > 0:
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# Previous line might be title
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prev_line = lines[i-1].strip().replace('#', '').strip()
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if prev_line:
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title = prev_line
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article_start_idx = i + 1
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credentials_found = True
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break
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continue
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# If line ends with common credential patterns, split it
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if ' - ' in potential_title or ' | ' in potential_title:
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parts = potential_title.split(' - ') if ' - ' in potential_title else potential_title.split(' | ')
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title = parts[0].strip()
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article_start_idx = i + 1
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credentials_found = True
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break
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else:
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# This might be the title, but check next line for credentials
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title = potential_title
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article_start_idx = i + 1
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# Check if this is a credentials line (after title)
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elif not credentials_found and any(cred in line_stripped.lower() for cred in ['dr.', 'dr ', 'phd', 'ph.d', 'expert', 'years of experience']):
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credentials_found = True
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article_start_idx = i + 1
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break
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# If we've passed potential title/credentials, this is article content
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elif title and not credentials_found and line_stripped:
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# No credentials found, article starts here
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article_start_idx = i
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break
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# Clean up title
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if not title:
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# Fallback: use first non-empty line
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for line in lines:
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line_stripped = line.strip().replace('#', '').strip()
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if line_stripped:
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title = line_stripped
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break
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if len(title) > 100:
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title = title[:97] + "..."
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# Extract article content (skip title and credentials)
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article_lines = lines[article_start_idx:]
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article_content = '\n'.join(article_lines).strip()
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# Generate summary from first paragraph of article
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summary = ""
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for line in article_lines:
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line = line.strip()
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if line and not line.startswith('#') and len(line) > 20:
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summary = line[:150]
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if len(line) > 150:
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summary += "..."
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break
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if not summary:
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summary = "A new insight on sterile hydroponics and cultivation techniques."
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return title, summary, article_content
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def main():
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"""Main function to generate and save blog post."""
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# Ensure blog directory exists
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BLOG_DIR.mkdir(parents=True, exist_ok=True)
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# Check if Ollama is available
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content = call_ollama()
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if content is None:
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# Fail quietly - exit with code 0 so systemd doesn't log errors
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print("Ollama endpoint unavailable. Will retry in 3 days.", file=sys.stderr)
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sys.exit(0)
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# Get next post number
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post_number = get_next_post_number()
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filename = generate_filename(post_number)
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# Extract title, summary, and article content (separate from credentials)
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title, summary, article_content = extract_title_and_summary(content)
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# Create frontmatter
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frontmatter = create_frontmatter(title, summary)
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# Combine frontmatter and article content (not the full content with credentials)
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full_content = frontmatter + "\n" + article_content + "\n"
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# Write to file
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try:
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with open(filename, 'w', encoding='utf-8') as f:
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f.write(full_content)
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print(f"Successfully created blog post: {filename}")
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print(f"Title: {title}")
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return 0
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except Exception as e:
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print(f"ERROR: Failed to write blog post: {e}", file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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sys.exit(main())
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