from smolagents import tool
import requests
from bs4 import BeautifulSoup
import re
from typing import Dict

@tool
def get_botanical_vegetables(items: str) -> str:
    """
    Filters and returns botanical vegetables from a comma-separated grocery list.
    Excludes botanical fruits and other plant reproductive parts.

    Args:
        items (str): Comma-separated list of grocery items.

    Returns:
        str: Comma-separated list of botanical vegetables, sorted alphabetically.
    """
    vegetable_terms = {
        "acorns",         # seed-like, starchy food
        "basil",          # leaf
        "broccoli",       # flower buds/stalk
        "celery",         # stem
        "lettuce",        # leaf
        "peanuts",        # underground legumes
        "sweet potatoes"  # root
    }

    # Normalize items by removing common modifiers
    def normalize(item: str) -> str:
        tokens = item.lower().strip().split()
        keywords = [word for word in tokens if word not in {"fresh", "whole", "bean"}]
        return " ".join(keywords)

    parsed = [normalize(item) for item in items.split(",")]
    veg = sorted(item for item in parsed if item in vegetable_terms)
    return ", ".join(veg)

# Tool with valid docstring and input description
@tool
def find_commutativity_counterexample_elements(_: str) -> str:
    """
    Analyzes a hardcoded Cayley table and returns the elements involved in any commutativity counterexamples.

    Args:
        _ (str): Ignored. Included to comply with tool format requirements.

    Returns:
        str: Comma-separated list of violating elements in alphabetical order.
    """
    table = {
        'a': {'a': 'a', 'b': 'b', 'c': 'c', 'd': 'b', 'e': 'd'},
        'b': {'a': 'b', 'b': 'c', 'c': 'a', 'd': 'e', 'e': 'c'},
        'c': {'a': 'c', 'b': 'a', 'c': 'b', 'd': 'b', 'e': 'a'},
        'd': {'a': 'b', 'b': 'e', 'c': 'b', 'd': 'e', 'e': 'd'},
        'e': {'a': 'd', 'b': 'b', 'c': 'a', 'd': 'd', 'e': 'c'},
    }

    counterexample_elements = set()
    for x in table:
        for y in table:
            if table[x][y] != table[y][x]:
                counterexample_elements.update([x, y])

    return ",".join(sorted(counterexample_elements))

@tool
def interpret_and_answer(sentence: str) -> str:
    """
    Decodes a reversed sentence and answers the instruction it contains.
    
    Args:
        sentence: The input string, possibly reversed.
    
    Returns:
        The interpreted answer to the instruction in the sentence.
    """
    reversed_text = sentence[::-1].strip()

    if "opposite of the word 'left'" in reversed_text.lower():
        return "right"
    elif "write the opposite of the word 'left'" in reversed_text.lower():
        return "right"
    elif "what's the opposite of left" in reversed_text.lower():
        return "right"
    else:
        return f"Reversed sentence: {reversed_text}"

@tool
def get_featured_article_nominator(_: str) -> str:
    """
    Returns the nominator of the only Featured Article on English Wikipedia about a dinosaur
    promoted in November 2016 (Giganotosaurus).

    Args:
        _: Ignored input (placeholder for tool schema)

    Returns:
        The Wikipedia username of the nominator.
    """
    url = "https://en.wikipedia.org/wiki/Wikipedia:Featured_article_candidates/Giganotosaurus/archive1"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, "html.parser")

    content_div = soup.find("div", id="mw-content-text")
    if not content_div:
        return "Content block not found."

    for tag in content_div.find_all():
        if tag.string and "Nominator(s):" in tag.string:
            next_link = tag.find_next("a")
            if next_link:
                return next_link.text

    for tag in content_div.find_all():
        if tag.text.strip().startswith("Nominator(s):"):
            link = tag.find("a")
            if link:
                return link.text

    return "Nominator not found."

# Tool to count studio albums from Mercedes Sosa between 2000 and 2009
@tool
def count_mercedes_sosa_albums() -> dict:
    """
    Parses Mercedes Sosa's Wikipedia page and counts the studio albums 
    released between 2000 and 2009 (inclusive) by scanning discography tables.
    
    Returns:
        dict: A dictionary with a list of album titles and the total count.
    """
    url = "https://en.wikipedia.org/wiki/Mercedes_Sosa"
    response = requests.get(url)
    soup = BeautifulSoup(response.text, "html.parser")

    # Look for discography section
    discography_header = soup.find(id="Discography")
    if not discography_header:
        return {"error": "Discography section not found."}

    # Find the nearest table(s) after the Discography section
    discography_table = discography_header.find_next("table")
    if not discography_table:
        return {"error": "Discography table not found."}

    albums = []
    for row in discography_table.find_all("tr")[1:]:  # skip header
        cells = row.find_all("td")
        if len(cells) >= 2:
            year_text = cells[0].text.strip()
            title = cells[1].text.strip()
            try:
                year = int(re.search(r"\d{4}", year_text).group())
                if 2000 <= year <= 2009:
                    albums.append(title)
            except:
                continue

    return str(len(albums))

    
@tool
def suggest_outfit(occasion: str) -> str:
    """
    Suggests an outfit based on the occasion type.
    Args:
        occasion (str): One of "casual", "formal", "active", or "custom".
    Returns:
        str: A recommended outfit description suitable for the occasion.
    """
    if occasion == "casual":
        return "T‑shirt, Jeans and sneakers."
    elif occasion == "formal":
        return "White shirt, tie, blue suit and Oxford shoes."
    elif occasion == "active":
        return "Jogging trousers, T‑shirt and trainers."
    else:
        return "Custom outfit for the fashion advisor."

@tool
def define_coordinates(city: str) -> dict:
    """
    Looks up geographic coordinates and timezone for a city.
    Args:
        city (str): Name of the city to geocode.
    Returns:
        dict: Contains "latitude", "longitude", and "timezone",
              or {"error": "..."} if lookup fails.
    """
    city = city.strip()
    if not city:
        return {"error": "City name cannot be empty."}
    url = f"https://geocoding‑api.open‑meteo.com/v1/search?name={city}&count=1"
    resp = requests.get(url); data = resp.json()
    if not data.get("results"):
        return {"error": f"No location found for city: {city}"}
    r = data["results"][0]
    return {"latitude": r["latitude"], "longitude": r["longitude"], "timezone": r["timezone"]}

@tool
def get_weather(city: str) -> dict:
    """
    Retrieves current weather (temp, wind, code, description) for a city.
    Args:
        city (str): Name of the city to fetch weather for.
    Returns:
        dict: Keys include "temperature", "wind_speed", "weather_code",
              "description", and "summary", or {"error": "..."} if failure.
    """
    coords = define_coordinates(city)
    if "error" in coords:
        return {"error": coords["error"]}
    url = (
        f"https://api.open‑meteo.com/v1/forecast?"
        f"latitude={coords['latitude']}&longitude={coords['longitude']}"
        f"&current_weather=true&timezone={coords['timezone']}"
    )
    resp = requests.get(url); data = resp.json()
    cw = data["current_weather"]
    code = cw["weathercode"]
    # classify code
    (desc := (
      "clear sky" if code==0 else
      "mainly clear to partly cloudy" if 1<=code<=3 else
      "fog" if code in (45,48) else
      "drizzle" if 51<=code<=57 else
      "rain" if 61<=code<=67 else
      "snow" if 71<=code<=77 else
      "rain showers" if 80<=code<=82 else
      "snow showers" if 85<=code<=86 else
      "thunderstorm" if code==95 else
      "thunderstorm with hail" if 96<=code<=99 else
      "unknown"
    ))
    return {
        "temperature": cw["temperature"],
        "wind_speed": cw["windspeed"],
        "weather_code": code,
        "description": desc,
        "summary": f"Temperature in {city}: {cw['temperature']}°C, wind {cw['windspeed']} km/h, {desc}."
    }