classes/test.py

import streamlit as st
import requests
from dotenv import load_dotenv
import os
import pandas as pd
import time
import chardet
from helper.telemetry import collect_telemetry
from helper.upload_File import uploadFile
from helper.button_behaviour import hide_button
from helper.initialize_analyze_session import initialize_analyze_session

class test:
    def __init__(self, model_url, analyst_name, data_src, analyst_description):
        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)

        # EVALUATION FORM LINK
        url = os.getenv('Link')
        st.write('Evaluation Form: [Link](%s)' % url)

        # RETURN BUTTON
        try:
            if st.button("Return", type='primary'):
                st.switch_page("./pages/home.py")
        except Exception:
            pass
    
    def request_model(self, payload_txt):
        response = requests.post(self.model_url, json=payload_txt)
        response.raise_for_status()
        output = response.json()
        
        categories = []
        current_footprint = []
        number_of_backlinks = []

        for key, value in output.items():
            if key == 'json':
                for item in value:
                    categories.append(item.get('category', 'N/A').replace('_', ' ').title())
                    current_footprint.append(item.get('current_footprint', 'N/A'))
                    number_of_backlinks.append(item.get('best_of_breed_solution', 'N/A'))    

        output = ""
        for i in range(len(categories)):
            output += f"\n\n---\n **Category:** {categories[i]}"
            output += f"\n\n **Count:** {current_footprint[i]}\n\n"
            output += f"**Best of Breed Solution:** {number_of_backlinks[i]}"

        data = {
            "": [str(category) for category in categories],
            "Current Footprint": [str(footprint) for footprint in current_footprint],
            "Best of Breed Solution": [str(backlink) for backlink in number_of_backlinks]
        }
        df_output = pd.DataFrame(data)
        with st.expander("AI Analysis", expanded=True, icon="🤖"):
            st.table(df_output.style.set_table_styles(
            [{'selector': 'th:first-child, td:first-child', 'props': [('width', '20px')]},
            {'selector': 'th, td', 'props': [('width', '150px'), ('text-align', 'center')]}]
            ).set_properties(**{'text-align': 'center'}))

        return output
      
    def detect_encoding(self, uploaded_file):
        result = chardet.detect(uploaded_file.read(100000))
        uploaded_file.seek(0)  # Reset file pointer to the beginning
        return result['encoding']

    def facebook(self, facebook_organic_post, facebook_ad_campaign):
        try:
            facebook_engagement_rate = (facebook_organic_post['Reactions, Comments and Shares'].mean() / self.facebooks).round(2)
            st.session_state['facebook_engagement_rate'] = facebook_engagement_rate
        except TypeError:
            pass
        # Post Frequency
        facebook_post_frequency = facebook_organic_post[~facebook_organic_post['Post ID'].isna()].shape[0]

            # Ads
        facebook_ads = facebook_ad_campaign[~facebook_ad_campaign['Ad name'].isna()].shape[0]
    
        st.session_state['facebook_review_rate'] = self.facebook_rr
        st.session_state['facebook_ads'] = facebook_ads
        st.session_state['facebook_post_frequency'] = facebook_post_frequency
        st.session_state['facebook_followers'] = self.facebooks

        try:
            return facebook_engagement_rate, facebook_ads, facebook_post_frequency
        except UnboundLocalError:
            return facebook_ads, facebook_post_frequency
    
    def terminate_session(self, session):
        try:
            del st.session_state[session]
        except KeyError:
            pass
  
    def row1(self):
        col1, col2 = st.columns(gap="medium", spec=[0.33, 0.66])
        with col1:
            intensity = st.select_slider(
                "Vague - Precise",
                options=[0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9],
                
            )


            self.facebooks = st.number_input('Facebook Followers:', min_value=1, max_value=99999999, value=None, step=1, placeholder='Enter Facebook Followers')
            self.facebook_rr = st.text_input("Facebook Review Rate:", placeholder='Enter Facebook Review Rate')
            
            self.instagram = st.text_input("Instagram Followers:", placeholder='Enter Instagram Followers')
            self.instagram_er = st.text_input("Instagram Audience Engagement Rate:", placeholder='Enter Instagram Audience Engagement Rate')
            self.instagram_pf = st.text_input("Instagram Post Frequency:", placeholder='Enter Instagram Post Frequency')

            followers = {
                'Facebook Followers': self.facebooks if self.facebooks else 'N/A',
                'Facebook Review Rate': self.facebook_rr if self.facebook_rr else 'N/A',
            }
   
        with col2:
            st.write("") # FOR THE HIDE BUTTON
            st.write("") # FOR THE HIDE BUTTON
            st.write("AI Analyst Output: ")
            st.session_state['analyzing'] = False
            st.write("") # FOR THE HIDE BUTTON
            analyze_button = st.button("Analyze", disabled=initialize_analyze_session())
            start_time = time.time()
            if analyze_button:
                hide_button()
                try:
                    if self.facebooks:
                        combined_text = ""
                        with st.spinner('Analyzing...', show_time=True):
                            st.write('')
                            
                            intensity = str(intensity)
                            combined_text += f"Intensity: {intensity}\n"
                            # INITIALIZING SESSIONS
                            try:
                                facebook_organic_post = st.session_state['facebook_organic_post']
                                facebook_ad_campaign = st.session_state['facebook_ad_campaign']

                                self.facebook(facebook_organic_post, facebook_ad_campaign)
                                try:
                                    facebook_engagement_rate = st.session_state['facebook_engagement_rate']
                                    combined_text += f"\nFacebook Audience Engagement Rate: {facebook_engagement_rate}%"
                                except KeyError:
                                    pass
                                facebook_ads = st.session_state['facebook_ads']
                                facebook_post_frequency = st.session_state['facebook_post_frequency']
                                combined_text += f"\nFacebook Followers: {self.facebooks}"
                                combined_text += f"\nFacebook Review Rate: {self.facebook_rr}"
                                combined_text += f"\nFacebook Ads: {facebook_ads}"
                                combined_text += f"\nFacebook Post Frequency: {facebook_post_frequency}"

                                combined_text += facebook_organic_post.to_csv(index=True)
                                combined_text += facebook_ad_campaign.to_csv(index=True)
                            except KeyError:
                                pass
                            
                            try:
                                combined_text += f"Instagram Followers: {self.instagram}\n"
                                combined_text += f"Instagram Audience Engagement Rate: {self.instagram_er}%\n"
                                combined_text += f"Instagram Post Frequency: {self.instagram_pf}\n"
                            except KeyError:
                                pass


            
                            # OUTPUT FOR SEO ANALYST
                            payload_txt = {"question": combined_text}
                            result = self.request_model(payload_txt)
                            
                            end_time = time.time()
                            time_lapsed = end_time - start_time
                            debug_info = {
                                'analyst': self.analyst_name,
                                'url_uuid': self.model_url.split("-")[-1],
                                'time_lapsed': time_lapsed,
                                #'backlink_files': [*st.session_state['uploaded_files']],
                                'payload': payload_txt,
                                'result': result,
                            }
                            
                            collect_telemetry(debug_info)
                            
                            with st.expander("Debug information", icon="⚙"):
                                st.write(debug_info)

                            for df in st.session_state.keys():
                                del st.session_state[df]
                            for facebook_ad_campaign in st.session_state.keys():
                                del st.session_state[facebook_ad_campaign]

                            st.session_state['analyzing'] = False 
                    else:
                        st.info("Please upload CSV or PDF files first.")
                        hide_button()    
                except AttributeError:
                    st.info("Please upload CSV or PDF files first.")
                    hide_button() 

if __name__ == "__main__":
    st.set_page_config(layout="wide")

upload = uploadFile()