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b438494 c75d56b b438494 4156d4e b438494 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | import streamlit as st
import requests
from dotenv import load_dotenv
import os
import time
from helper.telemetry import collect_telemetry
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 pandas as pd
class SeoOn:
def __init__(self, model_url):
self.uploaded_files = []
self.file_dict = {}
self.file_gt = {}
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 'crawl_file' not in st.session_state:
st.session_state['crawl_file'] = ''
if 'first_meaningful_paint' not in st.session_state:
st.session_state['first_meaningful_paint'] = ''
def request_model(self, payload_txt):
response = requests.post(self.model_url, json=payload_txt)
response.raise_for_status()
output = response.json()
categories = []
remarks = []
for key, value in output.items():
if key == 'json':
for item in value:
categories.append(item.get('elements', 'N/A').replace('_', ' ').title())
remarks.append(item.get('remarks', 'N/A'))
output = ""
for i in range(len(categories)):
output += f"\n\n---\n **Category:** {categories[i]}"
output += f"\n\n **Remarks:** {remarks[i]}\n\n"
data = {
"Category": [str(category) for category in categories],
"Remarks": [str(footprint) for footprint in remarks],
}
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 process(self):
session = st.session_state.analyze
start_time = time.time()
if (self.first_meaningful_paint or self.uploaded_files) and session == 'clicked':
first_meaningful_paint = ""
crawl_file = ""
with st.spinner('Uploading On Page...', show_time=True):
st.write('')
'''
try:
for file_info in st.session_state['uploaded_files'].values():
if file_info['type'] == 'pdf':
combined_text += file_info['content'] + "\n"
elif file_info['type'] == 'csv':
try:
combined_text += "CrawlFile CSV: {"+ file_info['content'].to_csv(index=True) + "\n"
except AttributeError:
pass
except KeyError:
pass
try:
for f in st.session_state['uploaded_gt'].values():
if f['type'] == 'pdf':
crawl_file += "GTmetrix: {"+ f['content'] + "}\n"
elif f['type'] == 'csv':
crawl_file += f['content'].to_csv(index=True) + "\n"
except KeyError:
pass
'''
try:
for file_info in st.session_state['uploaded_files'].values():
if file_info['type'] == 'pdf':
crawl_file += file_info['content'] + "\n"
elif file_info['type'] == 'csv':
try:
crawl_file += "CrawlFile CSV: {"+ file_info['content'].to_csv(index=True) + "\n"
except AttributeError:
pass
except KeyError:
pass
except AttributeError:
pass
try:
first_meaningful_paint += f"\nFirst Meaningful Paint: {self.first_meaningful_paint}"
except KeyError:
pass
debug_info_first_meaningful_paint = {'data_field' : 'First Meaningful Paint', 'result': first_meaningful_paint}
debug_info_crawl_file = {'data_field' : 'Crawl File', 'result': crawl_file}
if self.first_meaningful_paint:
st.session_state['first_meaningful_paint'] = 'uploaded'
collect_telemetry(debug_info_first_meaningful_paint)
if self.uploaded_files:
st.session_state['crawl_file'] = 'uploaded'
collect_telemetry(debug_info_crawl_file)
#with st.expander("Debug information", icon="⚙"):
# st.write(debug_info)
st.session_state['analyzing'] = False
try:
self.file_dict.popitem()
except KeyError:
pass
def row1(self):
#st.write(self.data_src)
#self.uploaded_files = st.file_uploader("Upload Backlink List (PDF)", type=['pdf', 'csv'], accept_multiple_files=True, key="seo_on")
#self.gtmetrix = st.file_uploader("GTmetrix:", type=['pdf', 'csv'], accept_multiple_files=True, key="seo_on_gt")
'''
if self.uploaded_files:
upload.multiple_upload_file(self.uploaded_files)
self.file_dict = upload.file_dict
if self.gtmetrix:
upload.upload_gt(self.gtmetrix)
'''
self.uploaded_files = st.file_uploader("Crawl File - ScreamingFrog:", type=['pdf', 'csv'], accept_multiple_files=True)
#self.gtmetrix = st.file_uploader("GTmetrix", type=['pdf', 'csv'], accept_multiple_files=True, key="seo_on_gt")
if self.uploaded_files:
upload.multiple_upload_file(self.uploaded_files)
self.file_dict = upload.file_dict
self.first_meaningful_paint = st.text_input("First Meaningful Paint - GTMetrix:", placeholder='Enter First Meaningful Paint')
#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() |