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4SQUARE MEDICAL STAFFING

Trust Your Staffing Needs to Local GA Healthcare Staffing Agency.
Call us: 7705447477

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import os import zipfile # Paths base_dir = "/mnt/data/staffing_bot_web" os.makedirs(base_dir, exist_ok=True) # Core Rasa project files (same as previous, plus credentials.yml) project_files = { "domain.yml": """version: "3.1" intents: - job_openings - credential_requirements - payroll_cycle - staff_request - service_explanation - compliance_tracking - candidate_sourcing - payroll_status responses: utter_job_openings: - text: "We have multiple openings! Could you tell me your specialty and preferred location so I can show you the best matches?" utter_credential_requirements: - text: "You’ll typically need an active state license, BLS (and sometimes ACLS), vaccination records, and recent clinical references. Would you like me to generate a checklist for your specialty?" utter_payroll_cycle: - text: "Our standard payroll is weekly with direct deposit. Some contracts also offer daily or rapid pay. Would you like me to check if the role you’re interested in qualifies?" utter_staff_request: - text: "Of course. Could you confirm the location, number of shifts, required specialties, and start dates? I’ll prepare this request for our staffing manager." utter_service_explanation: - text: "We provide per diem, travel, temp-to-perm, and permanent placement services. We also handle scheduling, compliance, and payroll support. Would you like me to share details on one of these options?" utter_compliance_tracking: - text: "Here’s the compliance report: [fetch_compliance_report_api]. Would you like me to export this into Excel or send alerts to recruiters?" utter_candidate_sourcing: - text: "Here are the top candidates that match: [fetch_candidates_api]. Should I pre-screen and send resumes to the recruiter dashboard?" utter_payroll_status: - text: "Payroll summary for [date]: X employees paid, Y pending, Z flagged for review. Do you want me to send a detailed breakdown?" actions: - action_fetch_compliance_report - action_fetch_candidates - action_fetch_payroll """, "nlu.yml": """version: "3.1" nlu: - intent: job_openings examples: | - What jobs do you have available? - Are there travel nurse positions open now? - Show me open roles for RNs. - intent: credential_requirements examples: | - What documents do I need to apply? - Do I need BLS certification for this role? - What are the compliance requirements? - intent: payroll_cycle examples: | - When will I get paid after a shift? - Do you offer weekly pay? - How does payroll work here? - intent: staff_request examples: | - I need 3 ICU nurses for next week. - Can you cover ER shifts this weekend? - I need staff urgently. - intent: service_explanation examples: | - What staffing solutions do you provide? - Do you do permanent placement or just temporary? - Explain your services. - intent: compliance_tracking examples: | - Show me nurses with expiring licenses. - Whose BLS is due next month? - Compliance report please. - intent: candidate_sourcing examples: | - Find me RNs in New York with ICU experience. - Show candidates available this weekend. - Source new candidates. - intent: payroll_status examples: | - Check payroll for last week. - Has John Smith’s invoice been processed? - Show payroll summary. """, "stories.yml": """version: "3.1" stories: - story: Candidate asks about jobs steps: - intent: job_openings - action: utter_job_openings - story: Candidate asks about credential requirements steps: - intent: credential_requirements - action: utter_credential_requirements - story: Candidate asks about payroll cycle steps: - intent: payroll_cycle - action: utter_payroll_cycle - story: Client requests staff steps: - intent: staff_request - action: utter_staff_request - story: Client asks about services steps: - intent: service_explanation - action: utter_service_explanation - story: Internal staff checks compliance steps: - intent: compliance_tracking - action: action_fetch_compliance_report - story: Internal staff sources candidates steps: - intent: candidate_sourcing - action: action_fetch_candidates - story: Internal staff checks payroll steps: - intent: payroll_status - action: action_fetch_payroll """, "rules.yml": """version: "3.1" rules: - rule: Always respond to job openings steps: - intent: job_openings - action: utter_job_openings - rule: Always respond to credential requirements steps: - intent: credential_requirements - action: utter_credential_requirements """, "config.yml": """language: en pipeline: - name: WhitespaceTokenizer - name: RegexFeaturizer - name: LexicalSyntacticFeaturizer - name: CountVectorsFeaturizer - name: DIETClassifier - name: EntitySynonymMapper - name: ResponseSelector policies: - name: MemoizationPolicy - name: RulePolicy - name: TEDPolicy """, "actions.py": """from rasa_sdk import Action, Tracker from rasa_sdk.executor import CollectingDispatcher class ActionFetchComplianceReport(Action): def name(self): return "action_fetch_compliance_report" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): # Placeholder for API call report = "List of nurses with expiring licenses: [fetch_compliance_report_api]" dispatcher.utter_message(text=report) return [] class ActionFetchCandidates(Action): def name(self): return "action_fetch_candidates" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): candidates = "Top RN candidates available: [fetch_candidates_api]" dispatcher.utter_message(text=candidates) return [] class ActionFetchPayroll(Action): def name(self): return "action_fetch_payroll" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: dict): payroll = "Payroll summary: [fetch_payroll_api]" dispatcher.utter_message(text=payroll) return [] """, "endpoints.yml": """action_endpoint: url: "http://localhost:5055/webhook" """, "credentials.yml": """# Enable REST and Socket.IO channels for webchat rest: socketio: user_message_evt: user_uttered bot_message_evt: bot_uttered session_persistence: true # Allow local development from any origin. In production, replace "*" with your domain. cors_allowed_origins: - "*" """ } # Write core files for name, content in project_files.items(): with open(os.path.join(base_dir, name), "w") as f: f.write(content) # Webchat folder and index.html web_dir = os.path.join(base_dir, "webchat") os.makedirs(web_dir, exist_ok=True) index_html = """ Staffing Agency Chatbot

Staffing Agency AI Assistant

Ask about jobs, credentialing, staffing requests, and more.

Open the chat widget in the bottom-right corner to start a conversation.

Make sure your Rasa server is running with Socket.IO:

rasa run --enable-api --cors "*" --debug

And the actions server:

rasa run actions

""" with open(os.path.join(web_dir, "index.html"), "w") as f: f.write(index_html) # Create ZIP zip_path = "/mnt/data/staffing_bot_with_webchat.zip" with zipfile.ZipFile(zip_path, "w") as zipf: for root, _, files in os.walk(base_dir): for file in files: abs_path = os.path.join(root, file) arcname = os.path.relpath(abs_path, base_dir) zipf.write(abs_path, arcname=arcname) zip_path