geethaAICoach2 / app.py
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Update app.py
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import gradio as gr
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from simple_salesforce import Salesforce
import os
import base64
import datetime
from dotenv import load_dotenv
from fpdf import FPDF
import shutil
import html
import matplotlib.pyplot as plt
import io
# Load environment variables
load_dotenv()
required_env_vars = ['SF_USERNAME', 'SF_PASSWORD', 'SF_SECURITY_TOKEN']
missing_vars = [var for var in required_env_vars if not os.getenv(var)]
if missing_vars:
raise EnvironmentError(f"Missing required environment variables: {missing_vars}")
# Load model and tokenizer
model_name = "distilgpt2"
tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)
model = AutoModelForCausalLM.from_pretrained(model_name, low_cpu_mem_usage=True)
if tokenizer.pad_token is None:
tokenizer.pad_token = tokenizer.eos_token
tokenizer.pad_token_id = tokenizer.convert_tokens_to_ids(tokenizer.pad_token)
model.config.pad_token_id = tokenizer.pad_token_id
# Prompt template
PROMPT_TEMPLATE = """You are an AI assistant for construction supervisors. Given the role, project, milestones, and a reflection log, generate:
1. A Daily Checklist with clear and concise tasks based on the role and milestones.
Split the checklist into day-by-day tasks for a specified time period (e.g., one week).
2. Focus Suggestions based on concerns or keywords in the reflection log. Provide at least 2 suggestions.
Inputs:
Role: {role}
Project ID: {project_id}
Milestones: {milestones}
Reflection Log: {reflection}
Output Format:
Checklist (Day-by-Day):
- Day 1:
- Task 1
- Task 2
- Day 2:
- Task 1
- Task 2
...
Suggestions:
-
"""
def clean_text_for_pdf(text):
return html.unescape(text).encode('latin-1', 'replace').decode('latin-1')
def save_report_as_pdf(role, supervisor_name, project_id, checklist, suggestions):
now = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
filename = f"report_{supervisor_name}_{project_id}_{now}.pdf"
file_path = f"./reports/{filename}"
os.makedirs("reports", exist_ok=True)
pdf = FPDF()
pdf.add_page()
pdf.set_font("Arial", 'B', 14)
pdf.cell(200, 10, txt="Supervisor Daily Report", ln=True, align="C")
pdf.set_font("Arial", size=12)
pdf.cell(200, 10, txt=clean_text_for_pdf(f"Role: {role}"), ln=True)
pdf.cell(200, 10, txt=clean_text_for_pdf(f"Supervisor: {supervisor_name}"), ln=True)
pdf.cell(200, 10, txt=clean_text_for_pdf(f"Project ID: {project_id}"), ln=True)
pdf.ln(5)
pdf.set_font("Arial", 'B', 12)
pdf.cell(200, 10, txt="Daily Checklist", ln=True)
pdf.set_font("Arial", size=12)
for line in checklist.split("\n"):
pdf.multi_cell(0, 10, clean_text_for_pdf(line))
pdf.ln(5)
pdf.set_font("Arial", 'B', 12)
pdf.cell(200, 10, txt="Focus Suggestions", ln=True)
pdf.set_font("Arial", size=12)
for line in suggestions.split("\n"):
pdf.multi_cell(0, 10, clean_text_for_pdf(line))
pdf.output(file_path)
temp_pdf_path = "/tmp/" + os.path.basename(file_path)
shutil.copy(file_path, temp_pdf_path)
return temp_pdf_path, filename
def upload_pdf_to_salesforce_and_update_link(supervisor_name, project_id, pdf_path, pdf_name, checklist, suggestions):
try:
sf = Salesforce(
username=os.getenv('SF_USERNAME'),
password=os.getenv('SF_PASSWORD'),
security_token=os.getenv('SF_SECURITY_TOKEN'),
domain=os.getenv('SF_DOMAIN', 'login')
)
with open(pdf_path, "rb") as f:
encoded = base64.b64encode(f.read()).decode()
content = sf.ContentVersion.create({
'Title': pdf_name,
'PathOnClient': pdf_name,
'VersionData': encoded
})
content_id = content['id']
download_url = f"https://{sf.sf_instance}/sfc/servlet.shepherd/version/download/{content_id}"
query = sf.query(f"SELECT Id FROM Supervisor__c WHERE Name = '{supervisor_name}' LIMIT 1")
if query['totalSize'] == 0:
return ""
supervisor_id = query['records'][0]['Id']
project_query = sf.query(f"SELECT Id FROM Project__c WHERE Name = '{project_id}' LIMIT 1")
if project_query['totalSize'] == 0:
return ""
project_id_sf = project_query['records'][0]['Id']
sf.Supervisor_AI_Coaching__c.create({
'Project_ID__c': project_id_sf,
'Supervisor_ID__c': supervisor_id,
'Daily_Checklist__c': checklist,
'Suggested_Tips__c': suggestions,
'Download_Link__c': download_url
})
return download_url
except Exception as e:
return ""
def get_roles_from_salesforce():
try:
sf = Salesforce(
username=os.getenv('SF_USERNAME'),
password=os.getenv('SF_PASSWORD'),
security_token=os.getenv('SF_SECURITY_TOKEN'),
domain=os.getenv('SF_DOMAIN', 'login')
)
result = sf.query("SELECT Role__c FROM Supervisor__c WHERE Role__c != NULL")
return list(set(record['Role__c'] for record in result['records']))
except Exception as e:
return []
def get_supervisor_name_by_role(role):
try:
sf = Salesforce(
username=os.getenv('SF_USERNAME'),
password=os.getenv('SF_PASSWORD'),
security_token=os.getenv('SF_SECURITY_TOKEN'),
domain=os.getenv('SF_DOMAIN', 'login')
)
result = sf.query(f"SELECT Name FROM Supervisor__c WHERE Role__c = '{role}'")
return [record['Name'] for record in result['records']]
except Exception as e:
return []
def get_projects_for_supervisor(supervisor_name):
try:
sf = Salesforce(
username=os.getenv('SF_USERNAME'),
password=os.getenv('SF_PASSWORD'),
security_token=os.getenv('SF_SECURITY_TOKEN'),
domain=os.getenv('SF_DOMAIN', 'login')
)
result = sf.query(f"SELECT Id FROM Supervisor__c WHERE Name = '{supervisor_name}' LIMIT 1")
if result['totalSize'] == 0:
return ""
supervisor_id = result['records'][0]['Id']
project_result = sf.query(f"SELECT Name FROM Project__c WHERE Supervisor_ID__c = '{supervisor_id}' LIMIT 1")
return project_result['records'][0]['Name'] if project_result['totalSize'] > 0 else ""
except Exception as e:
return ""
def get_dashboard_data_from_salesforce(supervisor_name, project_id):
try:
sf = Salesforce(
username=os.getenv('SF_USERNAME'),
password=os.getenv('SF_PASSWORD'),
security_token=os.getenv('SF_SECURITY_TOKEN'),
domain=os.getenv('SF_DOMAIN', 'login')
)
query = f"""
SELECT Daily_Checklist__c, Suggested_Tips__c, Download_Link__c, CreatedDate
FROM Supervisor_AI_Coaching__c
WHERE Supervisor_ID__r.Name = '{supervisor_name}' AND Project_ID__r.Name = '{project_id}'
ORDER BY CreatedDate DESC
LIMIT 1
"""
result = sf.query(query)
if result['totalSize'] == 0:
return "No dashboard data found.", "", "", ""
record = result['records'][0]
return (
record.get('Daily_Checklist__c', 'N/A'),
record.get('Suggested_Tips__c', 'N/A'),
record.get('Download_Link__c', ''),
record.get('CreatedDate', 'Unknown')
)
except Exception as e:
return f"Error loading dashboard: {e}", "", "", ""
# Function to compare start and end date
def compare_dates(start_date, end_date):
current_date = datetime.datetime.now()
if current_date >= end_date:
return "Project Completed"
elif current_date < start_date:
return "Not Started"
else:
return "In Progress"
# Render bar chart (updated)
def render_bar_chart(completed, total):
fig, ax = plt.subplots(figsize=(4, 3))
ax.bar(["Completed", "Remaining"], [completed, max(0, total - completed)], color=["green", "gray"])
ax.set_title("Checklist Progress")
buf = io.BytesIO()
plt.tight_layout()
fig.savefig(buf, format="png")
plt.close(fig)
buf.seek(0)
encoded = base64.b64encode(buf.read()).decode("utf-8")
return f"<img src='data:image/png;base64,{encoded}'/>"
# Updated show_dashboard_html function
def show_dashboard_html(sup_name, proj_id):
checklist, suggestions, link, date = get_dashboard_data_from_salesforce(sup_name, proj_id)
# Parse date from Salesforce (assuming 'CreatedDate' is the project end date)
end_date = datetime.datetime.strptime(date, "%Y-%m-%dT%H:%M:%S.%f+0000") # Adjust format if needed
start_date = datetime.datetime.now() # Example: assume project starts today
# Compare the start and end dates
status = compare_dates(start_date, end_date)
# Progress calculation (dummy logic here)
completed_tasks = checklist.count("- ") # Count bullet points
total_tasks = 5 # You can replace this with actual task count from the checklist
chart_html = render_bar_chart(completed_tasks, total_tasks)
# Create the final HTML content
link_html = f'<a href="{link}" target="_blank">Download PDF</a>' if link else "No report available"
html_card = f"""
<div style='border:1px solid #ccc; border-radius:10px; padding:20px; background-color:#f9f9f9'>
<h3>πŸ“‹ <u>Dashboard Summary</u></h3>
<p><b>Supervisor:</b> {sup_name}</p>
<p><b>Project ID:</b> {proj_id}</p>
<p><b>πŸ—“οΈ Status:</b> {status}</p>
<hr>
<h4>βœ… <u>Daily Checklist</u></h4>
<pre style='background:#eef; padding:10px; border-radius:5px;'>{checklist}</pre>
<h4>πŸ’‘ <u>Focus Suggestions</u></h4>
<pre style='background:#ffe; padding:10px; border-radius:5px;'>{suggestions}</pre>
<p>{link_html}</p>
<hr>
<h4>πŸ“Š <u>Progress Chart</u></h4>
{chart_html}
</div>
"""
return html_card
# Main Gradio Interface
def create_interface():
roles = get_roles_from_salesforce()
with gr.Blocks(theme="soft", css=".footer { display: none; }") as demo:
gr.Markdown("## 🧠 AI-Powered Supervisor Assistant")
with gr.Tab("✏️ Generate Checklist"):
with gr.Row():
role = gr.Dropdown(choices=roles, label="Role")
supervisor_name = gr.Dropdown(choices=[], label="Supervisor Name")
project_id = gr.Textbox(label="Project ID", interactive=False)
milestones = gr.Textbox(label="Milestones (comma-separated KPIs)")
reflection = gr.Textbox(label="Reflection Log", lines=4)
with gr.Row():
generate = gr.Button("Generate")
clear = gr.Button("Clear")
refresh = gr.Button("πŸ”„ Refresh Roles")
checklist_output = gr.Textbox(label="βœ… Daily Checklist")
suggestions_output = gr.Textbox(label="πŸ’‘ Focus Suggestions")
download_button = gr.File(label="⬇ Download Report")
pdf_link = gr.HTML()
role.change(fn=lambda r: gr.update(choices=get_supervisor_name_by_role(r)), inputs=role, outputs=supervisor_name)
supervisor_name.change(fn=get_projects_for_supervisor, inputs=supervisor_name, outputs=project_id)
def handle_generate(role, supervisor_name, project_id, milestones, reflection):
checklist, suggestions, pdf_path, pdf_name = generate_outputs(role, supervisor_name, project_id, milestones, reflection)
return checklist, suggestions, pdf_path, pdf_name
generate.click(fn=handle_generate,
inputs=[role, supervisor_name, project_id, milestones, reflection],
outputs=[checklist_output, suggestions_output, download_button, pdf_link])
clear.click(fn=lambda: ("", "", "", "", ""),
inputs=None,
outputs=[role, supervisor_name, project_id, milestones, reflection])
refresh.click(fn=lambda: gr.update(choices=get_roles_from_salesforce()), outputs=role)
with gr.Tab("πŸ“Š Supervisor Dashboard"):
dash_supervisor = gr.Textbox(label="Supervisor Name", placeholder="e.g., SUP-056")
dash_project = gr.Textbox(label="Project ID", placeholder="e.g., PROJ-078")
load_dash = gr.Button("πŸ“₯ Load Dashboard")
dash_output = gr.HTML()
def show_dashboard_html(sup_name, proj_id):
checklist, suggestions, link, date = get_dashboard_data_from_salesforce(sup_name, proj_id)
link_html = f'<a href="{link}" target="_blank">Download PDF</a>' if link else "No report available"
completed_tasks = checklist.count("- ")
total_tasks = 5
chart_html = render_bar_chart(completed_tasks, total_tasks)
html_card = f"""
<div style='border:1px solid #ccc; border-radius:10px; padding:20px; background-color:#f9f9f9'>
<h3>πŸ“‹ <u>Dashboard Summary</u></h3>
<p><b>Supervisor:</b> {sup_name}</p>
<p><b>Project ID:</b> {proj_id}</p>
<p><b>πŸ—“οΈ Last Updated:</b> {date}</p>
<hr>
<h4>βœ… <u>Daily Checklist</u></h4>
<pre style='background:#eef; padding:10px; border-radius:5px;'>{checklist}</pre>
<h4>πŸ’‘ <u>Focus Suggestions</u></h4>
<pre style='background:#ffe; padding:10px; border-radius:5px;'>{suggestions}</pre>
<p>{link_html}</p>
<hr>
<h4>πŸ“Š <u>Progress Chart</u></h4>
{chart_html}
</div>
"""
return html_card
load_dash.click(fn=show_dashboard_html, inputs=[dash_supervisor, dash_project], outputs=dash_output)
return demo
if __name__ == "__main__":
app = create_interface()
app.launch()