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| import gradio as gr | |
| import torch | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from simple_salesforce import Salesforce | |
| import os | |
| from dotenv import load_dotenv | |
| # Load environment variables | |
| load_dotenv() | |
| # Required env vars check | |
| 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}") | |
| # Defaults | |
| KPI_FLAG_DEFAULT = os.getenv('KPI_FLAG', 'True') == 'True' | |
| ENGAGEMENT_SCORE_DEFAULT = float(os.getenv('ENGAGEMENT_SCORE', '85.0')) | |
| # Load model and tokenizer (Updated to use distilgpt2) | |
| model_name = "distilgpt2" # Using distilgpt2 for faster response | |
| 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 | |
| # Refined Prompt to generate day-by-day tasks based on milestones | |
| 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: | |
| - | |
| """ | |
| # Salesforce Functions | |
| 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: | |
| print(f"⚠️ Error fetching roles: {e}") | |
| return ["Site Manager", "Safety Officer", "Project Lead"] | |
| 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') | |
| ) | |
| role = role.replace("'", "\\'") | |
| 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: | |
| print(f"⚠️ Error fetching supervisor names: {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') | |
| ) | |
| supervisor_name = supervisor_name.replace("'", "\\'") | |
| supervisor_result = sf.query(f"SELECT Id FROM Supervisor__c WHERE Name = '{supervisor_name}' LIMIT 1") | |
| if supervisor_result['totalSize'] == 0: | |
| return "" | |
| supervisor_id = supervisor_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: | |
| print(f"⚠️ Error fetching project: {e}") | |
| return "" | |
| def field_exists(sf, object_name, field_name): | |
| try: | |
| obj_desc = getattr(sf, object_name).describe() | |
| return field_name in [field['name'] for field in obj_desc['fields']] | |
| except Exception as e: | |
| print(f"⚠️ Error checking field {field_name}: {e}") | |
| return False | |
| # New function to generate Salesforce dashboard URL (Visualforce Page) | |
| def generate_salesforce_dashboard_url(supervisor_name, project_id): | |
| # Use the provided Salesforce Visualforce URL with supervisorName and projectId as parameters | |
| return f"https://aicoachforsitesupervisors-dev-ed--c.develop.vf.force.com/apex/DashboardPage?supervisorName={supervisor_name}&projectId={project_id}" | |
| # Dashboard button function | |
| def open_dashboard(role, supervisor_name, project_id): | |
| # Generate dynamic URL based on supervisor and project | |
| dashboard_url = generate_salesforce_dashboard_url(supervisor_name, project_id) | |
| return f'<a href="{dashboard_url}" target="_blank" rel="noopener noreferrer" style="font-size:16px;">Open Salesforce Dashboard</a>' | |
| # Generate function | |
| def generate_outputs(role, supervisor_name, project_id, milestones, reflection): | |
| if not all([role, supervisor_name, project_id, milestones, reflection]): | |
| return "❗ Please fill all fields.", "" | |
| prompt = PROMPT_TEMPLATE.format( | |
| role=role, | |
| project_id=project_id, | |
| milestones=milestones, | |
| reflection=reflection | |
| ) | |
| inputs = tokenizer(prompt, return_tensors="pt", padding=True, truncation=True, max_length=512) | |
| try: | |
| with torch.no_grad(): | |
| outputs = model.generate( | |
| inputs['input_ids'], | |
| max_new_tokens=150, # Increased max tokens to capture more content | |
| no_repeat_ngram_size=2, | |
| do_sample=True, | |
| top_p=0.9, | |
| temperature=0.7, | |
| pad_token_id=tokenizer.pad_token_id | |
| ) | |
| result = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| except Exception as e: | |
| print(f"⚠️ Generation error: {e}") | |
| return "", "" | |
| def extract_between(text, start, end): | |
| s = text.find(start) | |
| e = text.find(end, s) if end else len(text) | |
| return text[s + len(start):e].strip() if s != -1 else "" | |
| # Extract the checklist and suggestions | |
| checklist = extract_between(result, "Checklist:\n", "Suggestions:") | |
| suggestions = extract_between(result, "Suggestions:\n", None) | |
| # If checklist or suggestions are empty, generate fallback content | |
| if not checklist.strip(): | |
| checklist = generate_fallback_checklist(role, milestones) | |
| if not suggestions.strip(): | |
| suggestions = generate_fallback_suggestions(reflection) | |
| return checklist, suggestions | |
| # Fallback generation for checklist and suggestions | |
| def generate_fallback_checklist(role, milestones): | |
| checklist_items = [] | |
| # If milestones are provided, add them to the checklist directly | |
| if milestones and milestones.strip(): | |
| kpis = [kpi.strip() for kpi in milestones.split(",")] | |
| for kpi in kpis: | |
| checklist_items.append(f"- Ensure progress on {kpi}") | |
| else: | |
| checklist_items.append("- Perform daily safety inspection") | |
| return "\n".join(checklist_items) | |
| def generate_fallback_suggestions(reflection): | |
| suggestions_items = [] | |
| reflection_lower = reflection.lower() | |
| if "student" in reflection_lower or "learning" in reflection_lower: | |
| suggestions_items.append("- Ensure students are logging incidents consistently") | |
| suggestions_items.append("- Provide guidance on timely incident recording") | |
| if "incident" in reflection_lower: | |
| suggestions_items.append("- Follow up on reported incidents with corrective actions") | |
| if not suggestions_items: | |
| suggestions_items.append("- Monitor team coordination") | |
| suggestions_items.append("- Review safety protocols with the team") | |
| return "\n".join(suggestions_items) | |
| # Interface | |
| def create_interface(): | |
| roles = get_roles_from_salesforce() | |
| with gr.Blocks(theme="soft") as demo: | |
| gr.Markdown("## 🧠 AI-Powered Supervisor Assistant") | |
| 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)", placeholder="E.g. Safety training, daily inspection") | |
| reflection = gr.Textbox(label="Reflection Log", lines=4, placeholder="Any concerns, delays, updates...") | |
| with gr.Row(): | |
| generate = gr.Button("Generate") | |
| clear = gr.Button("Clear") | |
| refresh = gr.Button("🔄 Refresh Roles") | |
| dashboard_btn = gr.Button("Dashboard") | |
| checklist_output = gr.Textbox(label="✅ Daily Checklist") | |
| suggestions_output = gr.Textbox(label="💡 Focus Suggestions") | |
| dashboard_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) | |
| generate.click(fn=generate_outputs, | |
| inputs=[role, supervisor_name, project_id, milestones, reflection], | |
| outputs=[checklist_output, suggestions_output]) | |
| 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) | |
| dashboard_btn.click(fn=open_dashboard, inputs=[role, supervisor_name, project_id], outputs=dashboard_link) | |
| return demo | |
| if __name__ == "__main__": | |
| app = create_interface() | |
| app.launch() | |