Detailed Docs & Onboarding improvements
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ajaysi
@@ -45,37 +45,139 @@ def render_final_setup(api_key_manager: APIKeyManager) -> Dict[str, Any]:
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"""
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logger.info("[render_final_setup] Rendering final setup component")
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st.markdown("### Step 5: Final Setup")
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st.markdown("### Step 6: Final Setup & Validation")
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# Load main config
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main_config = load_main_config()
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# Display configuration summary
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st.markdown("#### Configuration Summary")
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# Create tabs for each step
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tabs = st.tabs([
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"Step 1: AI LLM Setup",
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"Step 2: Website Analysis",
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"Step 3: AI Research",
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"Step 4: Personalization",
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"Step 5: Integrations"
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])
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# Blog Content Characteristics
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st.markdown("##### Blog Content Characteristics")
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blog_settings = main_config.get("Blog Content Characteristics", {})
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st.write(f"- Blog Length: {blog_settings.get('Blog Length', '2000')}")
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st.write(f"- Blog Tone: {blog_settings.get('Blog Tone', 'Professional')}")
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st.write(f"- Blog Demographic: {blog_settings.get('Blog Demographic', 'Professional')}")
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st.write(f"- Blog Type: {blog_settings.get('Blog Type', 'Informational')}")
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# Step 1: AI LLM Setup
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with tabs[0]:
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st.markdown("#### AI LLM Configuration")
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# Get API keys from environment
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openai_key = os.getenv('OPENAI_API_KEY', 'Not configured')
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gemini_key = os.getenv('GEMINI_API_KEY', 'Not configured')
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anthropic_key = os.getenv('ANTHROPIC_API_KEY', 'Not configured')
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mistral_key = os.getenv('MISTRAL_API_KEY', 'Not configured')
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# Display API keys (masked)
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st.markdown("##### API Keys")
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(f"**OpenAI API Key:** {'*' * 8}{openai_key[-4:] if openai_key != 'Not configured' else ''}")
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st.markdown(f"**Google Gemini API Key:** {'*' * 8}{gemini_key[-4:] if gemini_key != 'Not configured' else ''}")
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with col2:
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st.markdown(f"**Anthropic API Key:** {'*' * 8}{anthropic_key[-4:] if anthropic_key != 'Not configured' else ''}")
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st.markdown(f"**Mistral API Key:** {'*' * 8}{mistral_key[-4:] if mistral_key != 'Not configured' else ''}")
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# LLM Options
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st.markdown("##### LLM Options")
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llm_settings = main_config.get("LLM Options", {})
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st.write(f"- GPT Provider: {llm_settings.get('GPT Provider', 'google')}")
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st.write(f"- Model: {llm_settings.get('Model', 'gemini-1.5-flash-latest')}")
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st.write(f"- Temperature: {llm_settings.get('Temperature', 0.7)}")
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st.write(f"- Max Tokens: {llm_settings.get('Max Tokens', 4000)}")
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# Step 2: Website Analysis
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with tabs[1]:
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st.markdown("#### Website Analysis Configuration")
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# Get website URL from environment
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website_url = os.getenv('WEBSITE_URL', 'Not configured')
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# Display website URL
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st.markdown("##### Website URL")
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st.markdown(f"**Website URL:** {website_url}")
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# Display website analysis settings
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st.markdown("##### Analysis Settings")
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st.markdown("Website analysis settings will be used to understand your content style and preferences.")
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# Personalization Settings
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st.markdown("##### Personalization Settings")
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personalization = main_config.get("personalization", {})
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st.write(f"- Writing Tone: {personalization.get('writing_tone', 'Professional')}")
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st.write(f"- Target Audience: {personalization.get('target_audience', 'General')}")
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st.write(f"- Content Type: {personalization.get('content_type', 'Blog Posts')}")
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# Step 3: AI Research
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with tabs[2]:
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st.markdown("#### AI Research Configuration")
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# Get research API keys from environment
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serpapi_key = os.getenv('SERPAPI_KEY', 'Not configured')
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tavily_key = os.getenv('TAVILY_API_KEY', 'Not configured')
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metaphor_key = os.getenv('METAPHOR_API_KEY', 'Not configured')
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firecrawl_key = os.getenv('FIRECRAWL_API_KEY', 'Not configured')
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# Display API keys (masked)
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st.markdown("##### Research API Keys")
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(f"**SerpAPI Key:** {'*' * 8}{serpapi_key[-4:] if serpapi_key != 'Not configured' else ''}")
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st.markdown(f"**Tavily API Key:** {'*' * 8}{tavily_key[-4:] if tavily_key != 'Not configured' else ''}")
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with col2:
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st.markdown(f"**Metaphor API Key:** {'*' * 8}{metaphor_key[-4:] if metaphor_key != 'Not configured' else ''}")
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st.markdown(f"**Firecrawl API Key:** {'*' * 8}{firecrawl_key[-4:] if firecrawl_key != 'Not configured' else ''}")
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# Step 4: Personalization
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with tabs[3]:
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st.markdown("#### Personalization Configuration")
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# Display personalization settings from main config
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with st.popover("Blog Content Characteristics", help="Click to see details about blog content settings"):
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st.markdown("##### Blog Content Characteristics")
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blog_settings = main_config.get("Blog Content Characteristics", {})
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st.write(f"- Blog Length: {blog_settings.get('Blog Length', '2000')}")
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st.write(f"- Blog Tone: {blog_settings.get('Blog Tone', 'Professional')}")
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st.write(f"- Blog Demographic: {blog_settings.get('Blog Demographic', 'Professional')}")
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st.write(f"- Blog Type: {blog_settings.get('Blog Type', 'Informational')}")
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st.write(f"- Blog Language: {blog_settings.get('Blog Language', 'English')}")
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st.write(f"- Blog Output Format: {blog_settings.get('Blog Output Format', 'markdown')}")
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st.markdown("These settings define the overall structure and style of your blog content.")
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with st.popover("Blog Images Details", help="Click to see details about image generation settings"):
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st.markdown("##### Blog Images Details")
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image_settings = main_config.get("Blog Images Details", {})
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st.write(f"- Image Generation Model: {image_settings.get('Image Generation Model', 'stable-diffusion')}")
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st.write(f"- Number of Blog Images: {image_settings.get('Number of Blog Images', 1)}")
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st.markdown("These settings control how images are generated for your blog posts.")
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with st.popover("LLM Options", help="Click to see details about language model settings"):
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st.markdown("##### LLM Options")
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llm_settings = main_config.get("LLM Options", {})
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st.write(f"- GPT Provider: {llm_settings.get('GPT Provider', 'google')}")
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st.write(f"- Model: {llm_settings.get('Model', 'gemini-1.5-flash-latest')}")
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st.write(f"- Temperature: {llm_settings.get('Temperature', 0.7)}")
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st.write(f"- Top-p: {llm_settings.get('Top-p', 0.9)}")
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st.write(f"- Max Tokens: {llm_settings.get('Max Tokens', 4000)}")
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st.write(f"- Frequency Penalty: {llm_settings.get('Frequency Penalty', 1.0)}")
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st.write(f"- Presence Penalty: {llm_settings.get('Presence Penalty', 1.0)}")
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st.markdown("These settings control the behavior of the language model used for content generation.")
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with st.popover("Search Engine Parameters", help="Click to see details about search engine settings"):
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st.markdown("##### Search Engine Parameters")
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search_settings = main_config.get("Search Engine Parameters", {})
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st.write(f"- Geographic Location: {search_settings.get('Geographic Location', 'us')}")
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st.write(f"- Search Language: {search_settings.get('Search Language', 'en')}")
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st.write(f"- Number of Results: {search_settings.get('Number of Results', 10)}")
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st.write(f"- Time Range: {search_settings.get('Time Range', 'anytime')}")
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st.markdown("These settings control how search engines are used for research and content creation.")
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# Step 5: Integrations
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with tabs[4]:
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st.markdown("#### ALwrity Integrations Configuration")
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# Display integrations settings
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st.markdown("##### Website Platforms")
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st.info("WordPress integration will be available in the next update")
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st.info("Wix integration will be available in the next update")
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st.markdown("##### Social Media")
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st.info("Facebook integration will be available in the next update")
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st.info("Instagram integration will be available in the next update")
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st.markdown("##### Analytics Tools")
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st.info("Google Search Console integration will be available in the next update")
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# Navigation buttons
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col1, col2 = st.columns(2)
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@@ -90,37 +192,37 @@ def render_final_setup(api_key_manager: APIKeyManager) -> Dict[str, Any]:
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if st.button("Complete Setup →"):
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logger.info("[render_final_setup] User clicked complete setup")
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try:
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# Verify all required API keys are present and valid
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is_valid = check_all_api_keys(api_key_manager)
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# Log the current API keys in the manager
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logger.info("[render_final_setup] Current API keys in manager:")
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for key, value in api_key_manager.api_keys.items():
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if value:
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logger.info(f" - {key}: {'*' * 8}{value[-4:]}")
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else:
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logger.info(f" - {key}: Not set")
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if not is_valid:
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st.error("⚠️ Some required API keys are missing")
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st.markdown("### Missing API Keys and Impact")
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# Display impact messages
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st.warning("⚠️ Missing AI Provider: At least one AI provider (OpenAI, Google Gemini, Anthropic Claude, or Mistral) is required.")
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st.warning("⚠️ Missing Research Provider: At least one research provider (SerpAPI, Tavily, Metaphor, or Firecrawl) is required.")
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st.markdown("""
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<div style='background-color: #fff3cd; color: #856404; padding: 1rem; border-radius: 0.25rem; margin-top: 1rem;'>
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<h4 style='margin: 0;'>Required Keys:</h4>
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<ul style='margin: 0.5rem 0 0;'>
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<li>At least one AI provider (OpenAI, Google Gemini, Anthropic Claude, or Mistral)</li>
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<li>At least one research provider (SerpAPI, Tavily, Metaphor, or Firecrawl)</li>
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</ul>
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<p style='margin: 0.5rem 0 0;'>Please configure the required keys before proceeding.</p>
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</div>
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""", unsafe_allow_html=True)
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return {"current_step": 6, "changes_made": True}
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# Log environment variables
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logger.info("[render_final_setup] Checking environment variables:")
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for key in os.environ.keys():
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if any(provider in key for provider in ['API_KEY', 'SERPAPI', 'TAVILY', 'METAPHOR', 'FIRECRAWL']):
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value = os.getenv(key)
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if value:
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logger.info(f" - {key}: {'*' * 8}{value[-4:]}")
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else:
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logger.error(f" - {key}: Not set")
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# Save final configuration
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if not os.path.exists("lib/workspace/alwrity_config"):
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os.makedirs("lib/workspace/alwrity_config")
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config_path = os.path.join("lib", "workspace", "alwrity_config", "main_config.json")
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with open(config_path, 'w') as f:
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json.dump(main_config, f, indent=4)
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# Set FINAL_SETUP_COMPLETE to True in .env file and environment
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try:
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with open('.env', 'a') as f:
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f.write("\nFINAL_SETUP_COMPLETE=True")
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os.environ['FINAL_SETUP_COMPLETE'] = "True"
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logger.info("Set FINAL_SETUP_COMPLETE=True in .env and environment")
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except Exception as e:
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logger.error(f"Failed to set FINAL_SETUP_COMPLETE: {str(e)}")
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# Show success message with HTML formatting
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st.markdown("""
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<div style='background-color: #d4edda; color: #155724; padding: 1rem; border-radius: 0.25rem;'>
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@@ -133,11 +235,11 @@ def render_final_setup(api_key_manager: APIKeyManager) -> Dict[str, Any]:
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st.session_state['setup_completed'] = True
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# Redirect to main application
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st.switch_page("alwrity.py")
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st.rerun()
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except Exception as e:
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error_msg = f"Error completing setup: {str(e)}"
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logger.error(f"[render_final_setup] {error_msg}")
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st.error(error_msg)
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return {"current_step": 5, "changes_made": True}
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return {"current_step": 6, "changes_made": True}
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