df_ai_int / classes /response_off.py
Ronio Jerico Roque
Refactor output generation in write_client_footprint to use safe_get for improved error handling and clarity
ff45211
from io import StringIO
from urllib.parse import urlparse
import streamlit as st
import requests
from dotenv import load_dotenv
import os
import time
from helper.upload_response import upload_response
from helper.upload_File import uploadFile
from helper.button_behaviour import hide_button, unhide_button
from helper.initialize_analyze_session import initialize_analyze_session
import json
from pymongo import MongoClient
from helper.data_field import data_field
class SeoOffPageAnalyst:
def __init__(self, model_url):
self.uploaded_files = []
self.file_dict = {}
self.model_url = model_url
#self.analyst_name = analyst_name
#self.data_src = data_src
#self.analyst_description = analyst_description
self.initialize()
self.row1()
def initialize(self):
# FOR ENV
load_dotenv()
# AGENT NAME
#st.header(self.analyst_name)
def request_model(self, payload_txt, headers):
response = requests.post(self.model_url, json=payload_txt, headers=headers)
response.raise_for_status()
output = response.json()
#st.write(output)
text = output["outputs"][0]["outputs"][0]["results"]["text"]["data"]["text"]
text = json.loads(text)
#st.write(text)
#backlinks = text[0]
#referring_domains = text[1]
return text
def fetch_data(self, data_field):
mongodb_uri = os.getenv("MONGODB_URI")
myclient = MongoClient(mongodb_uri)
mydb = myclient.get_database()
mycol = mydb["df_data"]
# Sort by timestamp field in descending order
x = mycol.find_one(
{"data_field": data_field},
sort=[("timestamp", -1)]
)
x = x["result"]
return x
def process(self):
with st.spinner('SEO Off Page Analyst...', show_time=True):
st.write('')
headers = {"Content-Type": "application/json", "x-api-key": f"{os.getenv('x_api_key')}"}
try:
payload_txt = {"input_value": self.payload, "output_type": "text", "input_type": "chat"}
payload_txt_model = self.request_model(payload_txt, headers)
debug_info = {'data_field' : 'SEO Off Page Analyst', 'result': payload_txt_model}
upload_response(debug_info)
st.session_state['off_page_file_uploaded'] = ''
except Exception as e:
pass
st.session_state['analyzing'] = False
def row1(self):
st.session_state['analyzing'] = False
self.payload = ""
count = 0
try:
session_off_page_file_uploaded = st.session_state['off_page_file_uploaded']
if session_off_page_file_uploaded == 'uploaded':
count += 1
self.payload += self.fetch_data("Backlinks")
except Exception as e:
pass
if count >= 1:
summary = self.fetch_data("Client Summary")
self.payload = summary + self.payload
self.process()
if __name__ == "__main__":
st.set_page_config(layout="wide")
upload = uploadFile()