Files
igny8/backend/igny8_core/modules/system/utils.py
IGNY8 VPS (Salman) 9e8ff4fbb1 globals
2025-12-20 19:49:57 +00:00

340 lines
12 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""
System utilities - default prompts and helper functions
"""
from typing import Optional
def get_default_prompt(prompt_type: str) -> str:
"""Get default prompt value from GlobalAIPrompt ONLY - single source of truth"""
from .global_settings_models import GlobalAIPrompt
try:
global_prompt = GlobalAIPrompt.objects.get(prompt_type=prompt_type, is_active=True)
return global_prompt.prompt_value
except GlobalAIPrompt.DoesNotExist:
return f"ERROR: Global prompt '{prompt_type}' not configured in admin. Please configure it at: admin/system/globalaiprompt/"
'clustering': """You are a semantic strategist and SEO architecture engine. Your task is to analyze the provided keyword list and group them into meaningful, intent-driven topic clusters that reflect how real users search, think, and act online.
Return a single JSON object with a "clusters" array. Each cluster must follow this structure:
{
"name": "[Descriptive cluster name — natural, SEO-relevant, clearly expressing the topic]",
"description": "[12 concise sentences explaining what this cluster covers and why these keywords belong together]",
"keywords": ["keyword 1", "keyword 2", "keyword 3", "..."]
}
CLUSTERING STRATEGY:
1. Keyword-first, structure-follows:
- Do NOT rely on assumed categories or existing content structures.
- Begin purely from the meaning, intent, and behavioral connection between keywords.
2. Use multi-dimensional grouping logic:
- Group keywords by these behavioral dimensions:
• Search Intent → informational, commercial, transactional, navigational
• Use-Case or Problem → what the user is trying to achieve or solve
• Function or Feature → how something works or what it does
• Persona or Audience → who the content or product serves
• Context → location, time, season, platform, or device
- Combine 23 dimensions naturally where they make sense.
3. Model real search behavior:
- Favor clusters that form natural user journeys such as:
• Problem ➝ Solution
• General ➝ Specific
• Product ➝ Use-case
• Buyer ➝ Benefit
• Tool ➝ Function
• Task ➝ Method
- Each cluster should feel like a real topic hub users would explore in depth.
4. Avoid superficial groupings:
- Do not cluster keywords just because they share words.
- Do not force-fit outliers or unrelated keywords.
- Exclude keywords that don't logically connect to any cluster.
5. Quality rules:
- Each cluster should include between 310 strongly related keywords.
- Never duplicate a keyword across multiple clusters.
- Prioritize semantic strength, search intent, and usefulness for SEO-driven content structure.
- It's better to output fewer, high-quality clusters than many weak or shallow ones.
INPUT FORMAT:
{
"keywords": [IGNY8_KEYWORDS]
}
OUTPUT FORMAT:
Return ONLY the final JSON object in this format:
{
"clusters": [
{
"name": "...",
"description": "...",
"keywords": ["...", "...", "..."]
}
]
}
Do not include any explanations, text, or commentary outside the JSON output.
""",
'ideas': """Generate SEO-optimized, high-quality content ideas and outlines for each keyword cluster.
Input:
Clusters: [IGNY8_CLUSTERS]
Keywords: [IGNY8_CLUSTER_KEYWORDS]
Output: JSON with "ideas" array.
Each cluster → 1 cluster_hub + 24 supporting ideas.
Each idea must include:
title, description, content_type, content_structure, cluster_id, estimated_word_count (15002200), and covered_keywords.
Outline Rules:
Intro: 1 hook (3040 words) + 2 intro paragraphs (5060 words each).
58 H2 sections, each with 23 H3s.
Each H2 ≈ 250300 words, mixed content (paragraphs, lists, tables, blockquotes).
Vary section format and tone; no bullets or lists at start.
Tables have columns; blockquotes = expert POV or data insight.
Use depth, examples, and real context.
Avoid repetitive structure.
Tone: Professional editorial flow. No generic phrasing. Use varied sentence openings and realistic examples.
Output JSON Example:
{
"ideas": [
{
"title": "Best Organic Cotton Duvet Covers for All Seasons",
"description": {
"introduction": {
"hook": "Transform your sleep with organic cotton that blends comfort and sustainability.",
"paragraphs": [
{"content_type": "paragraph", "details": "Overview of organic cotton's rise in bedding industry."},
{"content_type": "paragraph", "details": "Why consumers prefer organic bedding over synthetic alternatives."}
]
},
"H2": [
{
"heading": "Why Choose Organic Cotton for Bedding?",
"subsections": [
{"subheading": "Health and Skin Benefits", "content_type": "paragraph", "details": "Discuss hypoallergenic and chemical-free aspects."},
{"subheading": "Environmental Sustainability", "content_type": "list", "details": "Eco benefits like low water use, no pesticides."},
{"subheading": "Long-Term Cost Savings", "content_type": "table", "details": "Compare durability and pricing over time."}
]
}
]
},
"content_type": "post",
"content_structure": "review",
"cluster_id": 12,
"estimated_word_count": 1800,
"covered_keywords": "organic duvet covers, eco-friendly bedding, sustainable sheets"
}
]
}""",
'content_generation': """You are an editorial content strategist. Your task is to generate a complete JSON response object that includes all the fields listed below, based on the provided content idea, keyword cluster, and keyword list.
Only the `content` field should contain HTML inside JSON object.
==================
Generate a complete JSON response object matching this structure:
==================
{
"title": "[Blog title using the primary keyword — full sentence case]",
"meta_title": "[Meta title under 60 characters — natural, optimized, and compelling]",
"meta_description": "[Meta description under 160 characters — clear and enticing summary]",
"content": "[HTML content — full editorial structure with <p>, <h2>, <h3>, <ul>, <ol>, <table>]",
"word_count": [Exact integer — word count of HTML body only],
"primary_keyword": "[Single primary keyword used in title and first paragraph]",
"secondary_keywords": [
"[Keyword 1]",
"[Keyword 2]",
"[Keyword 3]"
],
"tags": [
"[24 word lowercase tag 1]",
"[24 word lowercase tag 2]",
"[24 word lowercase tag 3]",
"[24 word lowercase tag 4]",
"[24 word lowercase tag 5]"
],
"categories": [
"[Parent Category > Child Category]",
"[Optional Second Category > Optional Subcategory]"
]
}
===========================
CONTENT FLOW RULES
===========================
**INTRODUCTION:**
- Start with 1 italicized hook (3040 words)
- Follow with 2 narrative paragraphs (each 5060 words; 23 sentences max)
- No headings allowed in intro
**H2 SECTIONS (58 total):**
Each section should be 250300 words and follow this format:
1. Two narrative paragraphs (80120 words each, 23 sentences)
2. One list or table (must come *after* a paragraph)
3. Optional closing paragraph (4060 words)
4. Insert 23 subsections naturally after main paragraphs
**Formatting Rules:**
- Vary use of unordered lists, ordered lists, and tables across sections
- Never begin any section or sub-section with a list or table
===========================
KEYWORD & SEO RULES
===========================
- **Primary keyword** must appear in:
- The title
- First paragraph of the introduction
- At least 2 H2 headings
- **Secondary keywords** must be used naturally, not forced
- **Tone & style guidelines:**
- No robotic or passive voice
- Avoid generic intros like "In today's world…"
- Don't repeat heading in opening sentence
- Vary sentence structure and length
===========================
INPUT VARIABLES
===========================
CONTENT IDEA DETAILS:
[IGNY8_IDEA]
KEYWORD CLUSTER:
[IGNY8_CLUSTER]
ASSOCIATED KEYWORDS:
[IGNY8_KEYWORDS]
===========================
OUTPUT FORMAT
===========================
Return ONLY the final JSON object.
Do NOT include any comments, formatting, or explanations.""",
'image_prompt_extraction': """Extract image prompts from the following article content.
ARTICLE TITLE: {title}
ARTICLE CONTENT:
{content}
Extract image prompts for:
1. Featured Image: One main image that represents the article topic
2. In-Article Images: Up to {max_images} images that would be useful within the article content
Return a JSON object with this structure:
{{
"featured_prompt": "Detailed description of the featured image",
"in_article_prompts": [
"Description of first in-article image",
"Description of second in-article image",
...
]
}}
Make sure each prompt is detailed enough for image generation, describing the visual elements, style, mood, and composition.""",
'image_prompt_template': '{image_type} image for blog post titled "{post_title}": {image_prompt}',
'negative_prompt': 'text, watermark, logo, overlay, title, caption, writing on walls, writing on objects, UI, infographic elements, post title',
'site_structure_generation': """You are the lead IA and conversion-focused strategist for a new marketing website. Use the inputs from the site builder wizard to craft an SEO-rich, user-journey friendly site architecture that a design and content team can build immediately.
INPUT DATA
----------
BUSINESS BRIEF:
[IGNY8_BUSINESS_BRIEF]
PRIMARY OBJECTIVES (rank by impact):
[IGNY8_OBJECTIVES]
DESIGN & STORY STYLE NOTES:
[IGNY8_STYLE]
SITE INFO (platform, audience, product/service category, any technical requirements):
[IGNY8_SITE_INFO]
TASK
----
1. Interpret the brief to define the core narrative arc (problem → solution → proof → conversion).
2. Output a JSON object that matches the SiteStructure schema:
{
"site": {
"name": "[Site or campaign name]",
"primary_navigation": ["..."],
"secondary_navigation": ["..."],
"hero_message": "[Top-level positioning statement]",
"tone": "[Voice guidance derived from style input]"
},
"pages": [
{
"slug": "kebab-case-slug",
"title": "SEO-friendly page title",
"type": "[page role e.g. hero, solution, proof, pricing, conversion]",
"status": "draft",
"objective": "Single measurable goal for this page aligned to objectives",
"primary_cta": "Primary call to action text",
"blocks": [
{
"type": "[block archetype e.g. hero, feature_grid, testimonial]",
"heading": "Section headline optimized for intent",
"subheading": "Support copy that clarifies value or context",
"layout": "Suggested layout pattern (full-bleed, two-column, cards, stats, etc.)",
"content": [
"Key talking points, proof, FAQs, offers, or data points"
]
}
]
}
]
}
3. Produce 610 total pages covering the full funnel (awareness, consideration, evaluation, conversion, post-conversion/support) unless the objectives explicitly demand fewer.
4. Every page must include at least three blocks ordered to tell a story, with clear internal logic (hook → build trust → guide action).
5. Craft navigation labels that mirror user language, avoid jargon, and reinforce topical authority.
6. Emphasize SEO signals: use keyword-rich yet natural titles, include topical coverage (solutions, use cases, proof, resources), and highlight schema-worthy elements (stats, FAQs, testimonials).
RESPONSE RULES
--------------
- Return ONLY the JSON object described above. Do not wrap it in markdown.
- Keep text human and specific; never say "Lorem ipsum" or "Example".
- When objectives mention specific offers, personas, or industries, reflect them in page titles, CTAs, and block content.
- If data is missing, infer the most logical assumption and note it inline with phrasing like "(assumed: ...)".
""",
}
return defaults.get(prompt_type, '')
def get_prompt_value(account, prompt_type: str) -> str:
"""Get prompt value for an account, or default if not set"""
try:
from .models import AIPrompt
prompt = AIPrompt.objects.get(account=account, prompt_type=prompt_type, is_active=True)
return prompt.prompt_value
except AIPrompt.DoesNotExist:
return get_default_prompt(prompt_type)