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Create app.py
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app.py
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import streamlit as st
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import json
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from googleapiclient.discovery import build
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# API key input (default provided; users can get their own at the link below)
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default_api_key = "AIzaSyAYdqy4sQzUPFXuSXVDJn3WHIEaHMXMv5I"
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API_KEY = st.text_input(
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"Enter your PageSpeed Insights API Key",
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value=default_api_key,
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help="Don't have one? Get your API key from [Google PageSpeed Insights Get Started](https://developers.google.com/speed/docs/insights/v5/get-started)."
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)
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# Function to run PageSpeed Insights API call
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def run_pagespeed(service, url, strategy="DESKTOP"):
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st.info(f"Running PageSpeed Insights for {url} with strategy {strategy}...")
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try:
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result = service.pagespeedapi().runpagespeed(url=url, strategy=strategy).execute()
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except Exception as e:
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st.error(f"Error running PageSpeed Insights on {url}: {e}")
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return None
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return result
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# Function to process the API result
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def process_result(result):
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data = {}
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try:
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lighthouse_result = result.get("lighthouseResult", {})
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categories = lighthouse_result.get("categories", {})
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for cat, details in categories.items():
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score = details.get("score", None)
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data[cat] = round(score * 100, 2) if score is not None else None
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data["requestedUrl"] = result.get("id", "")
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config_settings = lighthouse_result.get("configSettings", {})
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data["strategy"] = config_settings.get("formFactor", "")
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data["fetchTime"] = lighthouse_result.get("fetchTime", "")
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except Exception as e:
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st.error(f"Error processing result: {e}")
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return data
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# Main Streamlit app function
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def main():
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st.title("PageSpeed Insights Analyzer")
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st.write("Enter a URL and select a strategy to run a PageSpeed Insights analysis.")
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url = st.text_input("URL", "https://www.ocoya.com/")
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strategy = st.radio("Select Strategy", ("DESKTOP", "MOBILE"), index=0)
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if st.button("Run Analysis"):
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# Build the PageSpeed Insights API service object
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service = build('pagespeedonline', 'v5', developerKey=API_KEY)
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with st.spinner("Running analysis..."):
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result = run_pagespeed(service, url, strategy=strategy)
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if result:
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metrics = process_result(result)
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st.subheader("Extracted Metrics")
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st.write(metrics)
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st.subheader("Full JSON Response")
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st.json(result)
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if __name__ == "__main__":
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main()
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