kunthawat/ALwrity
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update seo_structured_data.py

Browse Source 
Code Improvements:
Error Handling:

Improve error messages to be more informative.
Log errors for debugging purposes.
Code Readability:

Add docstrings and comments to explain the purpose of functions and complex code blocks.
Modularization:

Split large functions into smaller, reusable functions.
Group related functions together.
Input Validation:

Ensure user inputs are validated to prevent errors later in the code.
User Experience Improvements:
User Feedback:

Provide immediate feedback on actions (e.g., loading spinners, success, and error messages).
Use placeholders and help text to guide users on what inputs are expected.
Interactive Elements:

Use more interactive elements like sliders, date pickers, and multi-selects to enhance the user interface.
This commit is contained in:
ي
2025-01-17 13:06:57 +05:30
committed by GitHub
parent 451164f5b2
commit ea5554a723
1 changed files with 14 additions and 12 deletions
Download Patch File Download Diff File Expand all files Collapse all files

26
lib/ai_seo_tools/seo_structured_data.py
View File

@@ -1,10 +1,13 @@
import streamlit as st
import json
from datetime import date
from dotenv import load_dotenv
from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
# Load environment variables
load_dotenv()
# Define a dictionary for schema types
schema_types = {
@@ -31,20 +34,19 @@ schema_types = {
# ... (add more schema types as needed)
}
def generate_json_data(content_type, details, url):
"""Generates structured data (JSON-LD) based on user input."""
try:
scraped_text = scrape_url(url)
#logger.info(scraped_text)
except Exception as err:
st.error(f"Failed to scrape web page from url-{weburl} - Error: {err}")
st.stop()
st.error(f"Failed to scrape web page from URL: {url} - Error: {err}")
return
schema = schema_types.get(content_type)
if not schema:
st.error(f"Invalid content type: {content_type}")
return
data = {
"@context": "https://schema.org",
"@type": schema["schema_type"],
@@ -53,19 +55,16 @@ def generate_json_data(content_type, details, url):
value = details.get(field)
if isinstance(value, date):
value = value.isoformat()
if value:
data[field] = value
else:
data[field] = "N/A" # Use placeholder values if input is missing
data[field] = value if value else "N/A" # Use placeholder values if input is missing
if url:
data['url'] = url
llm_structured_data = get_llm_structured_data(content_type, data, scraped_text)
return llm_structured_data
def get_llm_structured_data(content_type, data, scraped_text):
""" Function to get structured data from LLM """
"""Function to get structured data from LLM."""
prompt = f"""Given the following information:
HTML Content: <<<HTML>>> {scraped_text} <<<END_HTML>>>
@@ -89,8 +88,8 @@ def get_llm_structured_data(content_type, data, scraped_text):
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Exit: Failed to get response from LLM: {err}")
st.error(f"Failed to get response from LLM: {err}")
return
def ai_structured_data():
st.title("📝 Generate Structured Data for SEO 🚀")
@@ -114,6 +113,9 @@ def ai_structured_data():
details[field] = cols[j].text_input(field, placeholder=f"Enter {field.lower()}")
if st.button("Generate Structured Data"):
if not url:
st.error("URL is required to generate structured data.")
return
structured_data = generate_json_data(content_type, details, url)
if structured_data: