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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 Facebook:
def __init__(self, model_url):
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
'''
if 'fb_upload' not in st.session_state:
st.session_state['fb_upload'] = ''
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_ad_campaign(self, facebook_ad_campaign):
facebook_ads = facebook_ad_campaign[~facebook_ad_campaign['Ad name'].isna()].shape[0]
st.session_state['facebook_ads'] = facebook_ads
return facebook_ads
def facebook_organic(self, facebook_organic_post):
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]
st.session_state['facebook_post_frequency'] = facebook_post_frequency
st.session_state['facebook_review_rate'] = self.facebook_rr
st.session_state['facebook_followers'] = self.facebooks
try:
return facebook_post_frequency, facebook_engagement_rate
except UnboundLocalError:
return facebook_post_frequency
try:
linkedin_post_frequency = linkedin_content_post[~linkedin_content_post['Post title'].isna()].shape[0]
except Exception:
new_header = linkedin_content_post.iloc[0]
linkedin_content_post = linkedin_content_post[1:]
linkedin_content_post.columns = new_header
linkedin_post_frequency = linkedin_content_post[~linkedin_content_post['Post title'].isna()].shape[0]
st.write(linkedin_content_post)
st.session_state['linkedin_post_frequency'] = linkedin_post_frequency
return linkedin_post_frequency
def terminate_session(self, session):
try:
del st.session_state[session]
except KeyError:
pass
def file_upload(self, file_name, file_desc, session):
st.write("") # FOR THE HIDE BUTTON
file_name = st.file_uploader(f"{file_desc}", type='csv')
if file_name:
try:
self.terminate_session(session)
except UnboundLocalError:
pass
try:
encoding = self.detect_encoding(file_name)
st.session_state[f'{session}'] = pd.read_csv(file_name, encoding=encoding, low_memory=False)
except Exception:
pass
return file_name
def process(self):
start_time = time.time()
session = st.session_state.analyze
if ((self.fb_organic_post and self.fb_organic_post.name) or (self.fb_ads_campaign and self.fb_ads_campaign.name) or (self.facebooks) or (self.facebook_rr)) and session == 'clicked':
try:
combined_text = ""
with st.spinner('Uploading FB Files...', show_time=True):
st.write('')
# INITIALIZING SESSIONS
#combined_text += f"Client Summary: {st.session_state.nature}\n"
try: # FACEBOOK
try: # ORGANIC POST
combined_text += f"\nFacebook Followers: {self.facebooks}"
facebook_organic_post = st.session_state['facebook_organic_post']
self.facebook_organic(facebook_organic_post)
facebook_post_frequency = st.session_state['facebook_post_frequency']
combined_text += f"\nFacebook Post Frequency: {facebook_post_frequency}"
try: # ENGAGEMENT RATE TRY CATCH
facebook_engagement_rate = st.session_state['facebook_engagement_rate']
combined_text += f"\nFacebook Audience Engagement Rate: {facebook_engagement_rate}%"
except KeyError:
pass
except KeyError:
pass
try: # AD CAMPAIGN
combined_text += f"\nFacebook Review Rate: {self.facebook_rr}"
facebook_ad_campaign = st.session_state['facebook_ad_campaign']
self.facebook_ad_campaign(facebook_ad_campaign)
facebook_ads = st.session_state['facebook_ads']
combined_text += f"\nFacebook Ads: {facebook_ads}"
except KeyError:
pass
try: # FACEBOOK ORGANIC POST CSV
combined_text += f"\nFacebook Organic Post CSV: {facebook_organic_post.to_csv(index=True)}"
except UnboundLocalError:
pass
try: # FACEBOOK ADS CAMPAIGN CSV
combined_text += f"\nFacebook Ads Campaign CSV: {facebook_ad_campaign.to_csv(index=True)}"
except UnboundLocalError:
pass
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 = {'data_field' : 'Facebook', 'result': combined_text}
'''
debug_info = {
'analyst': self.analyst_name,
'url_uuid': self.model_url.split("-")[-1],
'time_lapsed': time_lapsed,
'facebook_organic_post': [fb_organic_post.name] if fb_organic_post else ['Not available'],
'fb_ads_campaign': [fb_ads_campaign.name] if fb_ads_campaign else ['Not available'],
'payload': payload_txt,
'result': result,
}
'''
st.session_state['fb_upload'] = 'uploaded'
collect_telemetry(debug_info)
combined_text = ""
#with st.expander("Debug information", icon="⚙"):
# st.write(debug_info)
#del st.session_state[df]
#del st.session_state[facebook_ad_campaign]
st.session_state['analyzing'] = False
except AttributeError:
hide_button()
def row1(self):
self.facebooks = st.number_input('Followers:', min_value=1, max_value=99999999, value=None, step=1, placeholder='Enter Followers')
self.facebook_rr = st.text_input("Review Rate:", placeholder='Enter Review Rate')
followers = {
'Facebook Followers': self.facebooks if self.facebooks else 'N/A',
'Facebook Review Rate': self.facebook_rr if self.facebook_rr else 'N/A',
}
self.fb_organic_post = self.file_upload("fb_post", "Organic Post CSV", "facebook_organic_post")
self.fb_ads_campaign = self.file_upload("fb_campaign", "Ads Campaign CSV", "facebook_ad_campaign")
self.fb_organic_post
self.fb_ads_campaign
'''
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
'''
self.process()
if __name__ == "__main__":
st.set_page_config(layout="wide")
upload = uploadFile()
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