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WORKING version 1.0.0

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PeninsulaInd 2025-10-24 12:50:24 -05:00
parent b29a3f3249
commit 25a83a5252
3 changed files with 15 additions and 5 deletions
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16
src/generation/deployment_assignment.py
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@ -65,14 +65,24 @@ def validate_and_resolve_targets(
def assign_site_for_article(article_index: int, resolved_targets: Dict[str, int]) -> Optional[int]:
"""
Assign a site_deployment_id for an article based on round-robin logic
Assign deployment targets to the first N articles only (one-to-one mapping)
Sequential assignment: article 0 → target[0], article 1 → target[1], etc.
Articles beyond the number of targets return None and will be assigned
from the site pool during post-processing.
Args:
article_index: Zero-based index of article in batch
article_index: Zero-based index of article in batch (0, 1, 2...)
resolved_targets: Dictionary mapping hostname -> site_deployment_id
Returns:
site_deployment_id if article_index < len(targets), None otherwise
site_deployment_id for first N articles (where N = len(targets))
None for articles beyond target count
Example:
With 2 targets and 6 articles:
- Articles 0,1 get explicit targets
- Articles 2,3,4,5 return None (assigned later from pool)
"""
if not resolved_targets:
return None

2
src/generation/prompts/content_generation.json
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@ -1,5 +1,5 @@
{
"system_message": "You are an expert content writer who creates engaging, informative, and SEO-optimized articles that provide real value to readers while incorporating relevant keywords naturally.",
"user_prompt": "Write a complete article based on:\nTitle: {title}\nOutline: {outline}\nKeyword: {keyword}\n\nEntities to include naturally: {entities}\nRelated searches to address: {related_searches}\n\nTarget word count range: {min_word_count} to {max_word_count} words\n\nReturn as an HTML fragment with <h2>, <h3>, and <p> tags. Do NOT include <!DOCTYPE>, <html>, <head>, or <body> tags. Start directly with the first <h2> heading.\n\nWrite naturally and informatively. Incorporate the keyword, entities, and related searches organically throughout the content."
"user_prompt": "Write a complete article based on:\nTitle: {title}\nOutline: {outline}\nKeyword: {keyword}\n\nEntities to include naturally: {entities}\nRelated searches to address: {related_searches}\n\nTarget token count range: {min_word_count} to {max_word_count} tokens.\n\nReturn as an HTML fragment with <h2>, <h3>, and <p> tags. Do NOT include <!DOCTYPE>, <html>, <head>, or <body> tags. Start directly with the first <h2> heading.\n\nWrite naturally and informatively. Incorporate the keyword, entities, and related searches organically throughout the content."
}

2
src/generation/prompts/outline_generation.json
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@ -1,5 +1,5 @@
{
"system_message": "You are an expert content outliner who creates well-structured, comprehensive article outlines that cover topics thoroughly and logically.",
"user_prompt": "Create an article outline for:\nTitle: {title}\nKeyword: {keyword}\n\nConstraints:\n- Between {min_h2} and {max_h2} H2 headings\n- Between {min_h3} and {max_h3} H3 subheadings total (distributed across H2 sections)\n\nEntities to incorporate: {entities}\nRelated searches to address: {related_searches}\n\nReturn ONLY valid JSON in this exact format:\n{{\"outline\": [{{\"h2\": \"Heading text\", \"h3\": [\"Subheading 1\", \"Subheading 2\"]}}, ...]}}\n\nEnsure the outline meets the minimum heading requirements and includes relevant entities and related searches."
"user_prompt": "Create an article outline for:\nTitle: {title}\nKeyword: {keyword}\n\nConstraints:\n- Between {min_h2} and {max_h2} H2 headings\n- Between {min_h3} and {max_h3} H3 subheadings total (distributed across H2 sections)\n\nEntities to incorporate: {entities}\nRelated searches to address: {related_searches}\n\nReturn ONLY valid JSON in this exact format:\n{{\"outline\": [{{\"h2\": \"Heading text\", \"h3\": [\"Subheading 1\", \"Subheading 2\"]}}, ...]}}\n\nEnsure the outline meets the minimum heading requirements and includes relevant entities and related searches. You can be creative in your headings and subheadings - they just need to be related to the topic {keyword}."
}