from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def evaluate_and_email_job(position: str, text_content: str) -> str:
    """A tool that checks if a job position matches user preferences and sends an email if it does.
    
    Args:
        position: The job title/position extracted from the text.
        text_content: The full 10-line text block to scan for salaries and contact details.
    """
    import re

    pos_lower = position.lower()
    text_lower = text_content.lower()
    
    # 1. Condition A: Title contains 'senior' or 'lead'
    is_senior_or_lead = "senior" in pos_lower or "lead" in pos_lower
    
    # 2. Condition B: Is a security job AND making > 60 LPA INR
    is_security = any(keyword in pos_lower for keyword in ["security", "secops", "infosec", "appsec"])
    
    has_high_salary = False
    # Check for raw numbers (e.g., 6,000,000 or 6000000)
    raw_numbers = [int(s.replace(',', '')) for s in re.findall(r'\b\d{1,3}(?:,\d{3})+\b|\b\d{7,8}\b', text_content)]
    if any(num >= 6000000 for num in raw_numbers):
        has_high_salary = True
        
    # Check for LPA notation (e.g., "65 LPA", "70LPA")
    lpa_matches = re.findall(r'(\d+)\s*lpa', text_lower)
    if any(int(val) >= 60 for val in lpa_matches):
        has_high_salary = True

    # Extract email safely
    email_match = re.search(r'[\w\.-]+@[\w\.-]+\.\w+', text_content)
    contact_email = email_match.group(0) if email_match else "unknown contact"

    # Match Logic: Senior/Lead OR (Security AND > 60 LPA)
    if is_senior_or_lead or (is_security) : #and has_high_salary):
        # Your email logic goes here
        return f"Match found! Sending resume to {contact_email} for '{position}'."
    else:
        return f"Position '{position}' did not match criteria. No action taken."


@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[evaluate_and_email_job], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()