Update app.py

app.py

@@ -1,185 +1,442 @@
-import requests
-import json
+from flask import Flask, request, jsonify, session, redirect, url_for, render_template, send_file
+from simple_salesforce import Salesforce, SalesforceAuthenticationFailed, SalesforceError
 import os
-import logging
 from datetime import datetime
 from dotenv import load_dotenv
-from simple_salesforce import Salesforce
-from flask import Flask, jsonify, request, render_template, redirect, url_for
-
-# Configure logging
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-logger = logging.getLogger(__name__)
+import logging
+from reportlab.lib.pagesizes import letter
+from reportlab.pdfgen import canvas
+import io
+import tempfile
 
 # Load environment variables
 load_dotenv()
 
-# Hugging Face API configuration
-HUGGING_FACE_API_URL = os.getenv("HUGGING_FACE_API_URL", "https://api-inference.huggingface.co/models/distilgpt2")
-HUGGING_FACE_API_TOKEN = os.getenv("HUGGING_FACE_API_TOKEN")
-
-# Salesforce configuration
-SALESFORCE_USERNAME = os.getenv("SALESFORCE_USERNAME")
-SALESFORCE_PASSWORD = os.getenv("SALESFORCE_PASSWORD")
-SALESFORCE_SECURITY_TOKEN = os.getenv("SALESFORCE_SECURITY_TOKEN")
-SALESFORCE_DOMAIN = os.getenv("SALESFORCE_DOMAIN", "login")
-
-# Validate environment variables
-if not HUGGING_FACE_API_TOKEN:
-    logger.error("HUGGING_FACE_API_TOKEN is not set")
-    raise ValueError("HUGGING_FACE_API_TOKEN environment variable is not set")
-if not HUGGING_FACE_API_URL.startswith("https://api-inference.huggingface.co/models/"):
-    logger.error("Invalid HUGGING_FACE_API_URL: %s", HUGGING_FACE_API_URL)
-    raise ValueError("HUGGING_FACE_API_URL must point to a valid Hugging Face model")
-if not all([SALESFORCE_USERNAME, SALESFORCE_PASSWORD, SALESFORCE_SECURITY_TOKEN]):
-    logger.error("Salesforce credentials are incomplete")
-    raise ValueError("Salesforce credentials must be set")
-
-# Initialize Flask app
+# Configure logging
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler('app.log'),
+        logging.StreamHandler()
+    ]
+)
+logger = logging.getLogger(__name__)
+
 app = Flask(__name__)
+app.secret_key = os.getenv('FLASK_SECRET_KEY', 'your-secret-key')
 
-def generate_coaching_output(data):
-    """
-    Generate daily checklist and tips using Hugging Face LLM.
-    """
-    logger.info("Generating coaching output for supervisor %s", data['supervisor_id'])
-    milestones_json = json.dumps(data['milestones'], indent=2)
-    prompt = f"""
-You are an AI Coach for construction site supervisors. Based on the following data, generate a daily checklist, three focus tips, and a motivational quote. Ensure outputs are concise, actionable, and tailored to the supervisor's role, project status, and reflection log.
-
-Supervisor Role: {data['role']}
-Project Milestones: {milestones_json}
-Reflection Log: {data['reflection_log']}
-Weather: {data['weather']}
-
-Format the response as JSON:
-{{
-    "checklist": ["item1", "item2", ...],
-    "tips": ["tip1", "tip2", "tip3"],
-    "quote": "motivational quote"
-}}
-"""
-
-    headers = {
-        "Authorization": f"Bearer {HUGGING_FACE_API_TOKEN}",
-        "Content-Type": "application/json"
-    }
-    payload = {
-        "inputs": prompt,
-        "parameters": {
-            "max_length": 200,
-            "temperature": 0.7,
-            "top_p": 0.9
-        }
-    }
+# Salesforce mock data for guest users
+MOCK_DATA = {
+    "supervisor_name": "GUEST",
+    "project_id": "PROJ_001",
+    "daily_checklist": "Inspect safety equipment\nReview team assignments\nCheck project timeline",
+    "suggested_tips": "Prioritize safety checks\nCommunicate clearly with the team\nMonitor resource usage",
+    "reflection_log": "",
+    "engagement_score": 85,
+    "kpi_flag": False,
+    "download_link": "",
+    "last_login": str(datetime.now())
+}
 
+def get_salesforce_connection():
+    """Establish a Salesforce connection with error handling."""
     try:
-        response = requests.post(HUGGING_FACE_API_URL, headers=headers, json=payload, timeout=5)
-        response.raise_for_status()
-        result = response.json()
-        generated_text = result[0]["generated_text"] if isinstance(result, list) else result["generated_text"]
-
-        start_idx = generated_text.find('{')
-        end_idx = generated_text.rfind('}') + 1
-        if start_idx == -1 or end_idx == 0:
-            logger.error("No valid JSON found in LLM output")
-            raise ValueError("No valid JSON found in LLM output")
-        
-        json_str = generated_text[start_idx:end_idx]
-        output = json.loads(json_str)
-        logger.info("Successfully generated coaching output")
-        return output
-
-    except requests.exceptions.HTTPError as e:
-        logger.error("Hugging Face API HTTP error: %s", e)
-        return None
-    except (json.JSONDecodeError, ValueError) as e:
-        logger.error("Error parsing LLM output: %s", e)
-        return None
+        sf = Salesforce(
+            username=os.getenv('SALESFORCE_USERNAME'),
+            password=os.getenv('SALESFORCE_PASSWORD'),
+            security_token=os.getenv('SALESFORCE_SECURITY_TOKEN'),
+            domain=os.getenv('SALESFORCE_DOMAIN', 'test')  # 'login' for production
+        )
+        logger.info("Successfully connected to Salesforce")
+        return sf
+    except SalesforceAuthenticationFailed as e:
+        logger.error(f"Salesforce authentication failed: {str(e)}")
+        raise Exception("Salesforce authentication failed. Check your credentials.")
     except Exception as e:
-        logger.error("Unexpected error in Hugging Face API call: %s", e)
-        return None
+        logger.error(f"Error connecting to Salesforce: {str(e)}")
+        raise Exception("Unable to connect to Salesforce. Please try again later.")
+
+@app.route('/')
+def index():
+    if 'supervisor_name' not in session:
+        logger.info("User not logged in, redirecting to login page")
+        return redirect(url_for('login_page'))
+    return render_template('index.html')
 
-def save_to_salesforce(output, supervisor_id, project_id):
-    """
-    Save coaching output to Salesforce Supervisor_AI_Coaching__c object.
-    """
-    if not output:
-        logger.error("No coaching output to save")
-        return False
+@app.route('/login', methods=['GET'])
+def login_page():
+    return render_template('login.html')
+
+@app.route('/signup', methods=['GET'])
+def signup_page():
+    return render_template('signup.html')
+
+@app.route('/login', methods=['POST'])
+def login():
+    data = request.get_json()
+    username = data.get('username')  # Now using Name field
+    password = data.get('password')
+
+    if username == 'GUEST':
+        session['supervisor_name'] = 'GUEST'
+        logger.info("Guest login successful")
+        return jsonify({"status": "success", "message": "Logged in as guest"})
 
     try:
-        sf = Salesforce(
-            username=SALESFORCE_USERNAME,
-            password=SALESFORCE_PASSWORD,
-            security_token=SALESFORCE_SECURITY_TOKEN,
-            domain=SALESFORCE_DOMAIN
-        )
-        logger.info("Connected to Salesforce")
-
-        coaching_record = {
-            "Supervisor_ID__c": supervisor_id,
-            "Project_ID__c": project_id,
-            "Daily_Checklist__c": "\n".join(output["checklist"]),
-            "Suggested_Tips__c": "\n".join(output["tips"]),
-            "Quote__c": output["quote"],
-            "Generated_Date__c": datetime.now().strftime("%Y-%m-%d")
+        sf = get_salesforce_connection()
+        # Query Supervisor_AI_Coaching__c for Name and Password__c
+        query = f"SELECT Id, Name, Password__c FROM Supervisor_AI_Coaching__c WHERE Name = '{username}' LIMIT 1"
+        result = sf.query(query)
+        if not result['records']:
+            logger.warning(f"Invalid username: {username}")
+            return jsonify({"status": "error", "message": "Invalid username"}), 401
+
+        record = result['records'][0]
+        stored_password = record['Password__c']
+        if stored_password != password:
+            logger.warning(f"Invalid password for username: {username}")
+            return jsonify({"status": "error", "message": "Invalid password"}), 401
+
+        session['supervisor_name'] = username
+        logger.info(f"Login successful for {username}")
+        return jsonify({"status": "success", "message": "Login successful"})
+    except Exception as e:
+        logger.error(f"Login error: {str(e)}")
+        return jsonify({"status": "error", "message": str(e)}), 500
+
+@app.route('/signup', methods=['POST'])
+def signup():
+    data = request.get_json()
+    username = data.get('username')  # Name field
+    password = data.get('password')  # Password__c field
+    project_id = data.get('project_id', 'PROJ_001')  # Project_ID__c
+    engagement_score = float(data.get('engagement_score', 85))  # Engagement_Score__c
+    kpi_flag = data.get('kpi_flag', False)  # KPI_Flag__c
+
+    if not username or not password:
+        logger.warning("Signup failed: Username and password are required")
+        return jsonify({"status": "error", "message": "Username and password are required"}), 400
+
+    try:
+        sf = get_salesforce_connection()
+        # Check if username already exists
+        query = f"SELECT Id FROM Supervisor_AI_Coaching__c WHERE Name = '{username}' LIMIT 1"
+        result = sf.query(query)
+        if result['records']:
+            logger.warning(f"Signup failed: Username {username} already exists")
+            return jsonify({"status": "error", "message": "Username already exists"}), 400
+
+        # Create new Supervisor_AI_Coaching__c record
+        new_record = {
+            'Name': username,
+            'Password__c': password,
+            'Project_ID__c': project_id,
+            'Engagement_Score__c': engagement_score,
+            'KPI_Flag__c': kpi_flag,
+            'Daily_Checklist__c': '',
+            'Suggested_Tips__c': '',
+            'Reflection_Log__c': '',
+            'Download_Link__c': ''
         }
+        sf.Supervisor_AI_Coaching__c.create(new_record)
+        logger.info(f"Signup successful for {username}")
 
-        sf.Supervisor_AI_Coaching__c.upsert(
-            f"Supervisor_ID__c/{supervisor_id}_{datetime.now().strftime('%Y-%m-%d')}",
-            coaching_record
-        )
-        logger.info("Successfully saved coaching record to Salesforce for supervisor %s", supervisor_id)
-        return True
+        # Automatically log in the user after signup
+        session['supervisor_name'] = username
+        return jsonify({"status": "success", "message": "Signup successful, you are now logged in"})
+    except SalesforceError as e:
+        logger.error(f"Salesforce API error during signup: {str(e)}")
+        return jsonify({"status": "error", "message": "Salesforce API error. Please try again later."}), 500
+    except Exception as e:
+        logger.error(f"Signup error: {str(e)}")
+        return jsonify({"status": "error", "message": str(e)}), 500
+
+@app.route('/logout', methods=['POST'])
+def logout():
+    supervisor_name = session.get('supervisor_name', 'Unknown')
+    session.pop('supervisor_name', None)
+    logger.info(f"User {supervisor_name} logged out")
+    return jsonify({"status": "success", "message": "Logged out successfully"})
+
+@app.route('/get_supervisor_data')
+def get_supervisor_data():
+    supervisor_name = session.get('supervisor_name', 'GUEST')
+    if supervisor_name == 'GUEST':
+        logger.info("Returning mock data for guest user")
+        return jsonify({"status": "success", "data": MOCK_DATA})
+
+    try:
+        sf = get_salesforce_connection()
+        query = f"""
+            SELECT Name, Project_ID__c, Daily_Checklist__c, Suggested_Tips__c,
+                   Reflection_Log__c, Engagement_Score__c, KPI_Flag__c, Download_Link__c
+            FROM Supervisor_AI_Coaching__c
+            WHERE Name = '{supervisor_name}'
+            LIMIT 1
+        """
+        result = sf.query(query)
 
+        if result['records']:
+            record = result['records'][0]
+            data = {
+                "supervisor_name": record['Name'],
+                "project_id": record['Project_ID__c'],
+                "daily_checklist": record['Daily_Checklist__c'] or "",
+                "suggested_tips": record['Suggested_Tips__c'] or "",
+                "reflection_log": record['Reflection_Log__c'] or "",
+                "engagement_score": record['Engagement_Score__c'] or 0,
+                "kpi_flag": record['KPI_Flag__c'],
+                "download_link": record['Download_Link__c'] or "",
+                "last_login": str(datetime.now())
+            }
+            logger.info(f"Fetched data for supervisor {supervisor_name}")
+            return jsonify({"status": "success", "data": data})
+        else:
+            logger.warning(f"No data found for supervisor {supervisor_name}")
+            return jsonify({"status": "error", "message": "No data found for this supervisor"})
+    except SalesforceError as e:
+        logger.error(f"Salesforce API error while fetching data: {str(e)}")
+        return jsonify({"status": "error", "message": "Salesforce API error. Please try again later."}), 500
     except Exception as e:
-        logger.error("Salesforce error: %s", e)
-        return False
-
-@app.route('/', methods=['GET'])
-def redirect_to_ui():
-    """
-    Redirect root URL to the UI.
-    """
-    return redirect(url_for('ui'))
-
-@app.route('/ui', methods=['GET'])
-def ui():
-    """
-    Serve the HTML user interface.
-    """
-    return render_template('index.html')
+        logger.error(f"Error fetching supervisor data: {str(e)}")
+        return jsonify({"status": "error", "message": str(e)}), 500
+
+@app.route('/submit_reflection', methods=['POST'])
+def submit_reflection():
+    supervisor_name = session.get('supervisor_name', 'GUEST')
+    if supervisor_name == 'GUEST':
+        MOCK_DATA['reflection_log'] = request.get_json().get('reflection')
+        logger.info("Reflection submitted for guest user")
+        return jsonify({"status": "success", "message": "Reflection submitted successfully (guest mode)"})
+
+    data = request.get_json()
+    reflection = data.get('reflection')
+
+    try:
+        sf = get_salesforce_connection()
+        query = f"SELECT Id FROM Supervisor_AI_Coaching__c WHERE Name = '{supervisor_name}' LIMIT 1"
+        result = sf.query(query)
+        if not result['records']:
+            logger.warning(f"No record found for supervisor {supervisor_name}")
+            return jsonify({"status": "error", "message": "No record found for this supervisor"}), 404
+
+        record_id = result['records'][0]['Id']
+        sf.Supervisor_AI_Coaching__c.update(record_id, {'Reflection_Log__c': reflection})
+        logger.info(f"Reflection updated for supervisor {supervisor_name}")
+        return jsonify({"status": "success", "message": "Reflection submitted successfully"})
+    except SalesforceError as e:
+        logger.error(f"Salesforce API error while submitting reflection: {str(e)}")
+        return jsonify({"status": "error", "message": "Salesforce API error. Please try again later."}), 500
+    except Exception as e:
+        logger.error(f"Error submitting reflection: {str(e)}")
+        return jsonify({"status": "error", "message": str(e)}), 500
 
 @app.route('/generate', methods=['POST'])
-def generate_endpoint():
-    """
-    Endpoint to generate coaching output based on supervisor data.
-    """
+def generate():
+    supervisor_name = session.get('supervisor_name', 'GUEST')
+    data = request.get_json()
+
+    # Generate checklist and tips (simplified logic)
+    checklist = [
+        "Inspect safety equipment",
+        "Review team assignments",
+        "Check project timeline"
+    ]
+    tips = [
+        "Prioritize safety checks",
+        "Communicate clearly with the team",
+        "Monitor resource usage"
+    ]
+
+    if supervisor_name == 'GUEST':
+        MOCK_DATA['daily_checklist'] = '\n'.join(checklist)
+        MOCK_DATA['suggested_tips'] = '\n'.join(tips)
+        logger.info("Generated coaching output for guest user")
+        return jsonify({
+            "status": "success",
+            "output": {
+                "checklist": checklist,
+                "tips": tips
+            }
+        })
+
     try:
-        data = request.get_json()
-        if not data or not all(key in data for key in ['supervisor_id', 'role', 'project_id', 'milestones', 'reflection_log', 'weather']):
-            return jsonify({"status": "error", "message": "Invalid or missing supervisor data"}), 400
-
-        coaching_output = generate_coaching_output(data)
-        if coaching_output:
-            success = save_to_salesforce(coaching_output, data["supervisor_id"], data["project_id"])
-            if success:
-                return jsonify({"status": "success", "output": coaching_output}), 200
-            else:
-                return jsonify({"status": "error", "message": "Failed to save to Salesforce"}), 500
-        else:
-            return jsonify({"status": "error", "message": "Failed to generate coaching output"}), 500
+        sf = get_salesforce_connection()
+        query = f"SELECT Id FROM Supervisor_AI_Coaching__c WHERE Name = '{supervisor_name}' LIMIT 1"
+        result = sf.query(query)
+        if not result['records']:
+            logger.warning(f"No record found for supervisor {supervisor_name}")
+            return jsonify({"status": "error", "message": "No record found for this supervisor"}), 404
+
+        record_id = result['records'][0]['Id']
+        sf.Supervisor_AI_Coaching__c.update(record_id, {
+            'Daily_Checklist__c': '\n'.join(checklist),
+            'Suggested_Tips__c': '\n'.join(tips)
+        })
+        logger.info(f"Generated and updated coaching output for supervisor {supervisor_name}")
+        return jsonify({
+            "status": "success",
+            "output": {
+                "checklist": checklist,
+                "tips": tips
+            }
+        })
+    except SalesforceError as e:
+        logger.error(f"Salesforce API error while generating output: {str(e)}")
+        return jsonify({"status": "error", "message": "Salesforce API error. Please try again later."}), 500
     except Exception as e:
-        logger.error("Error in generate endpoint: %s", e)
+        logger.error(f"Error generating coaching output: {str(e)}")
         return jsonify({"status": "error", "message": str(e)}), 500
 
-@app.route('/health', methods=['GET'])
-def health_check():
-    """
-    Health check endpoint.
-    """
-    return jsonify({"status": "healthy", "message": "Application is running"}), 200
+def generate_pdf_summary(data):
+    """Generate a PDF summary and return the file path."""
+    try:
+        with tempfile.NamedTemporaryFile(delete=False, suffix='.pdf', dir='/tmp') as tmp_file:
+            pdf_path = tmp_file.name
+            c = canvas.Canvas(pdf_path, pagesize=letter)
+            width, height = letter
+
+            # Title
+            c.setFont("Helvetica-Bold", 16)
+            c.drawString(50, height - 50, "Supervisor AI Coaching Summary")
+
+            # Supervisor Data
+            c.setFont("Helvetica", 12)
+            y_position = height - 100
+            c.drawString(50, y_position, f"Supervisor Name: {data.get('supervisor_name', 'N/A')}")
+            y_position -= 20
+            c.drawString(50, y_position, f"Project ID: {data.get('project_id', 'N/A')}")
+            y_position -= 20
+            c.drawString(50, y_position, f"Last Login: {data.get('last_login', 'N/A')}")
+            y_position -= 40
+
+            # Daily Checklist
+            c.setFont("Helvetica-Bold", 14)
+            c.drawString(50, y_position, "Daily Checklist")
+            c.setFont("Helvetica", 12)
+            y_position -= 20
+            checklist = data.get('daily_checklist', '').split('\n')
+            for item in checklist:
+                if item.strip():
+                    c.drawString(70, y_position, f"- {item}")
+                    y_position -= 20
+                    if y_position < 50:
+                        c.showPage()
+                        y_position = height - 50
+
+            # Suggested Tips
+            y_position -= 20
+            c.setFont("Helvetica-Bold", 14)
+            c.drawString(50, y_position, "Suggested Tips")
+            c.setFont("Helvetica", 12)
+            y_position -= 20
+            tips = data.get('suggested_tips', '').split('\n')
+            for tip in tips:
+                if tip.strip():
+                    c.drawString(70, y_position, f"- {tip}")
+                    y_position -= 20
+                    if y_position < 50:
+                        c.showPage()
+                        y_position = height - 50
+
+            # Reflection Log
+            y_position -= 20
+            c.setFont("Helvetica-Bold", 14)
+            c.drawString(50, y_position, "Reflection Log")
+            c.setFont("Helvetica", 12)
+            y_position -= 20
+            reflection = data.get('reflection_log', 'No reflection available.')
+            lines = reflection.split('\n')
+            for line in lines:
+                c.drawString(70, y_position, line)
+                y_position -= 20
+                if y_position < 50:
+                    c.showPage()
+                    y_position = height - 50
+
+            # KPIs
+            y_position -= 20
+            c.setFont("Helvetica-Bold", 14)
+            c.drawString(50, y_position, "KPIs")
+            c.setFont("Helvetica", 12)
+            y_position -= 20
+            c.drawString(70, y_position, f"Engagement Score: {data.get('engagement_score', 0)}%")
+            y_position -= 20
+            c.drawString(70, y_position, f"KPI Flag: {'Active' if data.get('kpi_flag', False) else 'Inactive'}")
+            y_position -= 20
+
+            c.save()
+            logger.info(f"Generated PDF at {pdf_path}")
+            return pdf_path
+    except Exception as e:
+        logger.error(f"Error generating PDF: {str(e)}")
+        raise
+
+@app.route('/download_pdf', methods=['GET'])
+def download_pdf():
+    supervisor_name = session.get('supervisor_name', 'GUEST')
+    if supervisor_name == 'GUEST':
+        logger.info("Download not available for guest user")
+        return jsonify({"status": "success", "message": "Download not available in guest mode"})
+
+    try:
+        sf = get_salesforce_connection()
+        query = f"""
+            SELECT Id, Name, Project_ID__c, Daily_Checklist__c, Suggested_Tips__c,
+                   Reflection_Log__c, Engagement_Score__c, KPI_Flag__c, Download_Link__c
+            FROM Supervisor_AI_Coaching__c
+            WHERE Name = '{supervisor_name}'
+            LIMIT 1
+        """
+        result = sf.query(query)
+        if not result['records']:
+            logger.warning(f"No record found for supervisor {supervisor_name}")
+            return jsonify({"status": "error", "message": "No record found for this supervisor"}), 404
+
+        record = result['records'][0]
+        record_id = record['Id']
+        data = {
+            "supervisor_name": record['Name'],
+            "project_id": record['Project_ID__c'],
+            "daily_checklist": record['Daily_Checklist__c'] or "",
+            "suggested_tips": record['Suggested_Tips__c'] or "",
+            "reflection_log": record['Reflection_Log__c'] or "",
+            "engagement_score": record['Engagement_Score__c'] or 0,
+            "kpi_flag": record['KPI_Flag__c'],
+            "download_link": record['Download_Link__c'] or "",
+            "last_login": str(datetime.now())
+        }
+
+        # Generate PDF
+        pdf_path = generate_pdf_summary(data)
+        
+        # Placeholder for Download_Link__c (requires actual storage solution in production)
+        download_link = "https://example.com/report.pdf"
+        sf.Supervisor_AI_Coaching__c.update(record_id, {'Download_Link__c': download_link})
+        logger.info(f"Updated Download_Link__c for supervisor {supervisor_name}")
+
+        # Serve the PDF file
+        return send_file(
+            pdf_path,
+            as_attachment=True,
+            download_name=f"supervisor_report_{supervisor_name}.pdf",
+            mimetype='application/pdf'
+        )
+    except SalesforceError as e:
+        logger.error(f"Salesforce API error while downloading PDF: {str(e)}")
+        return jsonify({"status": "error", "message": "Salesforce API error. Please try again later."}), 500
+    except Exception as e:
+        logger.error(f"Error downloading PDF: {str(e)}")
+        return jsonify({"status": "error", "message": str(e)}), 500
+    finally:
+        if 'pdf_path' in locals():
+            try:
+                os.remove(pdf_path)
+                logger.info(f"Cleaned up temporary PDF file: {pdf_path}")
+            except Exception as e:
+                logger.warning(f"Failed to clean up PDF file: {str(e)}")
 
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=int(os.getenv("PORT", 7860)))
+if __name__ == '__main__':
+    port = int(os.getenv('PORT', 5000))
+    app.run(host='0.0.0.0', port=port, debug=True)