import os
import re
import json
import time
import logging
import requests
from typing import Dict, List, Optional, Tuple, Any
from dataclasses import dataclass, field

# Configure logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

@dataclass
class ContactInfo:
    """User contact information needed for opt-out requests."""
    first_name: str
    last_name: str
    email: str
    phone: Optional[str] = None
    address: Optional[str] = None
    city: Optional[str] = None
    state: Optional[str] = None
    zip_code: Optional[str] = None

@dataclass
class DataBroker:
    """Information about a data broker and its opt-out process."""
    name: str
    url: str
    opt_out_url: str
    email: Optional[str] = None
    requires_email: bool = False
    requires_form: bool = False
    requires_mail: bool = False
    requires_id: bool = False
    automated_removal_supported: bool = False
    opt_out_steps: List[str] = field(default_factory=list)
    notes: Optional[str] = None

class SmolAgent:
    """
    An agent for automating data broker opt-outs and personal information removal.
    """
    
    def __init__(self):
        self.data_brokers = self._load_data_brokers()
        self.user_info = None
        self.completed_opt_outs = []
        self.failed_opt_outs = []
        self.pending_opt_outs = []
        
    def _load_data_brokers(self) -> List[DataBroker]:
        """Load the database of data brokers."""
        try:
            # In a production environment, this would load from a more comprehensive database
            # For demo purposes, we'll include a few common data brokers
            brokers = [
                DataBroker(
                    name="Acxiom",
                    url="https://www.acxiom.com",
                    opt_out_url="https://www.acxiom.com/opt-out-choices/",
                    requires_form=True,
                    automated_removal_supported=False,
                    opt_out_steps=[
                        "Visit opt-out page",
                        "Fill out form with personal information",
                        "Submit request",
                        "Check email for confirmation"
                    ]
                ),
                DataBroker(
                    name="Spokeo",
                    url="https://www.spokeo.com",
                    opt_out_url="https://www.spokeo.com/opt-out",
                    requires_form=True,
                    automated_removal_supported=True,
                    opt_out_steps=[
                        "Search for your profile",
                        "Copy the URL of your profile",
                        "Visit opt-out page",
                        "Enter profile URL and email",
                        "Complete CAPTCHA",
                        "Check email for confirmation link"
                    ]
                ),
                DataBroker(
                    name="BeenVerified",
                    url="https://www.beenverified.com",
                    opt_out_url="https://www.beenverified.com/app/optout/search",
                    requires_form=True,
                    automated_removal_supported=True,
                    opt_out_steps=[
                        "Search for your records",
                        "Select all records that match",
                        "Provide email address",
                        "Complete verification steps",
                        "Check email for confirmation"
                    ]
                ),
                DataBroker(
                    name="PeopleFinders",
                    url="https://www.peoplefinders.com",
                    opt_out_url="https://www.peoplefinders.com/opt-out",
                    requires_form=True,
                    automated_removal_supported=False,
                    opt_out_steps=[
                        "Search for your listing",
                        "Select your record",
                        "Enter your email address",
                        "Complete verification",
                        "Confirm via email"
                    ]
                ),
                DataBroker(
                    name="WhitePages",
                    url="https://www.whitepages.com",
                    opt_out_url="https://www.whitepages.com/suppression-requests",
                    requires_form=True,
                    automated_removal_supported=True,
                    opt_out_steps=[
                        "Find your listing",
                        "Copy the URL",
                        "Go to opt-out page",
                        "Enter profile URL",
                        "Provide reason for removal",
                        "Verify email"
                    ]
                )
            ]
            return brokers
        except Exception as e:
            logger.error(f"Error loading data brokers: {e}")
            return []

    def set_user_info(self, contact_info: ContactInfo) -> None:
        """Set the user's contact information."""
        self.user_info = contact_info
        logger.info(f"User information set for {contact_info.first_name} {contact_info.last_name}")

    def search_online_presence(self) -> Dict[str, List[str]]:
        """
        Search for the user's information across various websites.
        Returns a dictionary of sites and URLs where the user's information was found.
        """
        if not self.user_info:
            raise ValueError("User information must be set before searching")
        
        results = {}
        # In a real implementation, this would use search APIs or web scraping
        # For demo purposes, we'll simulate finding information
        
        logger.info(f"Searching for online presence of {self.user_info.first_name} {self.user_info.last_name}")
        
        for broker in self.data_brokers:
            # Simulate searching each data broker
            # In reality, this would involve more sophisticated searching
            results[broker.name] = [f"{broker.url}/simulated-profile/{self.user_info.first_name.lower()}-{self.user_info.last_name.lower()}"]
        
        return results

    def generate_opt_out_plan(self) -> List[Dict[str, Any]]:
        """Generate a plan for opting out of data brokers."""
        if not self.user_info:
            raise ValueError("User information must be set before generating a plan")
        
        plan = []
        for broker in self.data_brokers:
            plan.append({
                "broker": broker.name,
                "url": broker.opt_out_url,
                "automated": broker.automated_removal_supported,
                "steps": broker.opt_out_steps,
                "status": "pending"
            })
            self.pending_opt_outs.append(broker.name)
        
        logger.info(f"Generated opt-out plan for {len(plan)} data brokers")
        return plan

    def execute_automated_opt_outs(self) -> Tuple[List[str], List[str]]:
        """
        Execute automated opt-out requests for supported data brokers.
        Returns lists of successful and failed opt-outs.
        """
        if not self.user_info:
            raise ValueError("User information must be set before executing opt-outs")
        
        success = []
        failures = []
        
        for broker in self.data_brokers:
            if not broker.automated_removal_supported:
                logger.info(f"Skipping {broker.name} - automated removal not supported")
                continue
                
            try:
                logger.info(f"Attempting automated opt-out for {broker.name}")
                # Simulate the opt-out process
                # In a real implementation, this would use web automation or APIs
                time.sleep(2)  # Simulate request time
                
                # Simulate success (80% of the time for demo)
                if hash(broker.name + self.user_info.email) % 10 < 8:
                    success.append(broker.name)
                    self.completed_opt_outs.append(broker.name)
                    self.pending_opt_outs.remove(broker.name)
                    logger.info(f"Successfully completed opt-out for {broker.name}")
                else:
                    failures.append(broker.name)
                    self.failed_opt_outs.append(broker.name)
                    self.pending_opt_outs.remove(broker.name)
                    logger.error(f"Failed to complete opt-out for {broker.name}")
            except Exception as e:
                logger.error(f"Error during opt-out for {broker.name}: {e}")
                failures.append(broker.name)
                self.failed_opt_outs.append(broker.name)
                if broker.name in self.pending_opt_outs:
                    self.pending_opt_outs.remove(broker.name)
        
        return success, failures

    def generate_manual_instructions(self) -> Dict[str, List[str]]:
        """Generate manual instructions for data brokers that don't support automation."""
        if not self.user_info:
            raise ValueError("User information must be set before generating instructions")
        
        instructions = {}
        
        for broker in self.data_brokers:
            if not broker.automated_removal_supported and broker.name not in self.completed_opt_outs:
                instructions[broker.name] = [
                    f"Visit: {broker.opt_out_url}",
                    *broker.opt_out_steps
                ]
        
        logger.info(f"Generated manual instructions for {len(instructions)} data brokers")
        return instructions

    def generate_progress_report(self) -> Dict[str, Any]:
        """Generate a report on the progress of data removal."""
        completed_percentage = len(self.completed_opt_outs) / len(self.data_brokers) * 100 if self.data_brokers else 0
        
        report = {
            "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
            "total_brokers": len(self.data_brokers),
            "completed": {
                "count": len(self.completed_opt_outs),
                "percentage": completed_percentage,
                "brokers": self.completed_opt_outs
            },
            "pending": {
                "count": len(self.pending_opt_outs),
                "percentage": len(self.pending_opt_outs) / len(self.data_brokers) * 100 if self.data_brokers else 0,
                "brokers": self.pending_opt_outs
            },
            "failed": {
                "count": len(self.failed_opt_outs),
                "percentage": len(self.failed_opt_outs) / len(self.data_brokers) * 100 if self.data_brokers else 0,
                "brokers": self.failed_opt_outs
            }
        }
        
        logger.info(f"Generated progress report: {completed_percentage:.1f}% complete")
        return report

    def save_state(self, filename: str = "agent_state.json") -> None:
        """Save the agent's state to a file."""
        state = {
            "user_info": vars(self.user_info) if self.user_info else None,
            "completed_opt_outs": self.completed_opt_outs,
            "failed_opt_outs": self.failed_opt_outs,
            "pending_opt_outs": self.pending_opt_outs
        }
        
        with open(filename, 'w') as f:
            json.dump(state, f, indent=2)
        
        logger.info(f"Saved agent state to {filename}")

    def load_state(self, filename: str = "agent_state.json") -> None:
        """Load the agent's state from a file."""
        try:
            with open(filename, 'r') as f:
                state = json.load(f)
            
            if state.get("user_info"):
                self.user_info = ContactInfo(**state["user_info"])
            
            self.completed_opt_outs = state.get("completed_opt_outs", [])
            self.failed_opt_outs = state.get("failed_opt_outs", [])
            self.pending_opt_outs = state.get("pending_opt_outs", [])
            
            logger.info(f"Loaded agent state from {filename}")
        except FileNotFoundError:
            logger.warning(f"State file {filename} not found")
        except Exception as e:
            logger.error(f"Error loading state: {e}")

    def monitor_removals(self, check_interval_days: int = 30) -> None:
        """
        Set up monitoring to check if information has been successfully removed.
        For demonstration purposes only.
        """
        # In a real implementation, this would set up scheduled tasks
        # For now, just log the intent
        logger.info(f"Set up monitoring to check removals every {check_interval_days} days")

# Hugging Face integration code
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI(title="SMOLAGENT Data Removal Assistant")
agent = SmolAgent()

class UserInfoRequest(BaseModel):
    first_name: str
    last_name: str
    email: str
    phone: Optional[str] = None
    address: Optional[str] = None
    city: Optional[str] = None
    state: Optional[str] = None
    zip_code: Optional[str] = None

class OptOutRequest(BaseModel):
    automated_only: bool = False

@app.post("/set_user_info")
def set_user_info(user_info: UserInfoRequest):
    """Set the user's contact information."""
    contact_info = ContactInfo(
        first_name=user_info.first_name,
        last_name=user_info.last_name,
        email=user_info.email,
        phone=user_info.phone,
        address=user_info.address,
        city=user_info.city,
        state=user_info.state,
        zip_code=user_info.zip_code
    )
    
    agent.set_user_info(contact_info)
    return {"status": "success", "message": "User information set successfully"}

@app.get("/search_presence")
def search_presence():
    """Search for the user's online presence."""
    try:
        results = agent.search_online_presence()
        return {"status": "success", "results": results}
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Search failed: {str(e)}")

@app.get("/generate_plan")
def generate_plan():
    """Generate an opt-out plan."""
    try:
        plan = agent.generate_opt_out_plan()
        return {"status": "success", "plan": plan}
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Plan generation failed: {str(e)}")

@app.post("/execute_opt_outs")
def execute_opt_outs(request: OptOutRequest):
    """Execute automated opt-out requests."""
    try:
        success, failures = agent.execute_automated_opt_outs()
        return {
            "status": "completed",
            "successful": success,
            "failed": failures
        }
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Execution failed: {str(e)}")

@app.get("/manual_instructions")
def get_manual_instructions():
    """Get manual instructions for brokers that don't support automation."""
    try:
        instructions = agent.generate_manual_instructions()
        return {"status": "success", "instructions": instructions}
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to generate instructions: {str(e)}")

@app.get("/progress_report")
def get_progress_report():
    """Get a progress report on data removal."""
    try:
        report = agent.generate_progress_report()
        return {"status": "success", "report": report}
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to generate report: {str(e)}")

@app.post("/save_state")
def save_state():
    """Save the current state of the agent."""
    try:
        agent.save_state()
        return {"status": "success", "message": "State saved successfully"}
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to save state: {str(e)}")

@app.post("/load_state")
def load_state():
    """Load the saved state of the agent."""
    try:
        agent.load_state()
        return {"status": "success", "message": "State loaded successfully"}
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to load state: {str(e)}")

# For Hugging Face Spaces deployment
if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=7860)