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import requests
import re
import pandas as pd
from ask_questions import answer_question
import numpy as np
import streamlit as st
df = pd.DataFrame()
def extract_url_from_string(string):
return re.search("(?P<url>https?://[^\s]+)", string).group("url")
def process_data(data):
audits = [data["lighthouseResult"]["audits"][i] for i in data["lighthouseResult"]["audits"]]
audits_names = [i["title"] for i in audits]
scoresdisplays = [data["lighthouseResult"]["audits"][i]["scoreDisplayMode"] for i in data["lighthouseResult"]["audits"]]
df=pd.read_csv('processed/embeddings.csv', index_col=0)
df['embeddings'] = df['embeddings'].apply(eval).apply(np.array)
issues = []
for i in audits:
if i["scoreDisplayMode"] != "notApplicable" and (i["score"] != 1 and i["score"] != None) and "details" in i.keys() and i["scoreDisplayMode"] != "informative":
title = i["title"]
desc = i["description"]
item = i["details"]["items"][0]
typeOfIssue = i["details"]["type"]
dicto = {"title": title, "description": desc, "item": item, "type": typeOfIssue}
issues.append(dicto)
print(title)
print(i["details"]["type"])
question = f"Title: {title}\nDescription: {desc}\nItem: {item}"
#print(answer_question(df, question=question, debug=False))
print("***********************************")
return issues
def generate_response(website_url, url = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed", api_key=st.secrets["page_speed_api_key"]):
print("Website: " + website_url)
print()
name = website_url.split("//")[1].split(".")[1] # Get the name of the website
params = {
"url": website_url,
"key": api_key,
"category": ["performance", "accessibility", "best_practices", "seo"]
}
try:
#output_file_path = f"Responses/{name}.json"
if name not in st.session_state:
st.session_state[name] = {}
else:
return st.session_state[name]
response = requests.get(url, params=params)
response.raise_for_status() # Check for any request errors
data = response.json()
st.session_state[name] = data
"""
with open(output_file_path, "w") as output_file:
json.dump(data, output_file, indent=4)
else:
with open(output_file_path) as output_file:
data = json.load(output_file)"""
# Process the data as needed
return data
except requests.exceptions.RequestException as e:
print("Error:", e)
#for i in list_of_urls:
# data = generate_response(i)
# process_data(data)
#https://chat.openai.com/share/71d7a128-b56d-4368-9eee-beda874e4200 |