feat: Add AI summary generation and bump version to 0.1.2

- Introduced configuration options for AI summary generation in blog-ai-tool.toml, including a toggle and maximum length setting.
- Updated metadata generation logic in blog_seo.py to include AI-generated summaries based on the new configuration.
- Bumped project version to 0.1.2 in pyproject.toml and __init__.py to reflect the new features.

blog-ai-tool.toml

@@ -15,6 +15,8 @@ generate_keywords = false  # Whether to generate keywords
 max_title_length = 100  # Maximum title length
 max_description_length = 300  # Maximum description length
 keyword_count = 5  # Number of keywords to generate
+ai_summary = false  # Whether to generate ai summary
+ai_summary_length = 1000  # Maximum ai summary length
 
 [translation]
 use = true  # Whether to translate articles

blog-ai-tool/__init__.py

@@ -1,5 +1,5 @@
 from .blog_seo import HugoBlogProcessor, metadata_blog_directory
 from .main import load_config
 
-__version__ = "0.1.1"
+__version__ = "0.1.2"
 __all__ = ["HugoBlogProcessor", "metadata_blog_directory", "load_config"]

blog-ai-tool/blog_seo.py

@@ -13,16 +13,22 @@ def __init__(self, api_key: str, base_url: str, model: str, language: str, confi
     def generate_metadata(self, content: str) -> Dict[str, str]:
         """Generate metadata using OpenAI based on content"""
         metadata_config = self.config["metadata"]
+        ai_summary_config = metadata_config["ai_summary"]
+        if ai_summary_config:
+            ai_summary_task = f"""4. Based on the following blog content, generate a summary (max {metadata_config['ai_summary_length']} words with plain text)"""
+        else:
+            ai_summary_task = ""
         prompt = f"""Based on the following blog content, generate:
-1. A concise title (max {metadata_config['max_title_length']} chars)
-2. A brief description (max {metadata_config['max_description_length']} chars)
+1. A concise title (max {metadata_config['max_title_length']} words)
+2. A brief description (max {metadata_config['max_description_length']} words)
 3. {metadata_config['keyword_count']} relevant keywords (space-separated)
+{ai_summary_task}
 The language should be {self.language}.
 
 Content:
 {content}
 
-Format response as JSON with keys: title, description, keywords"""
+Format response as JSON with keys: title, description, keywords{", summary" if ai_summary_config else ""}"""
 
         response = self._call_openai(prompt)
         return self._extract_json(response)
@@ -49,6 +55,9 @@ def process_markdown(self, file_path: str) -> None:
                 metadata['description'] = generated['description']
             if not metadata.get('keywords'):
                 metadata['keywords'] = generated['keywords']
+            if generated.get("summary") and not metadata.get('summary'):
+                metadata['summary'] = generated['summary']
+
 
         if needs_update:
             # Create new post with updated metadata

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "blog-ai-tool"
-version = "0.1.1"
+version = "0.1.2"
 description = "Generate seo content (title, description, keywords) for blog post with AI, support blog framework like Hexo, Hugo, etc."
 readme = "README.md"
 requires-python = ">=3.8"