main.py

import socket
socket.setdefaulttimeout(4000) 

from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import Optional, Any, Dict, List
import aiohttp
import os
from datetime import datetime, timezone
import json
import re
from google.oauth2.service_account import Credentials as ServiceAccountCredentials
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
from dotenv import load_dotenv
import asyncio
import logging

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

app = FastAPI()

# --- Configuration ---
load_dotenv()

# CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"], # Consider restricting in production
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Google Sheets Config
# Spreadsheet containing Scammer and DWC info
SCAMMER_DWC_SPREADSHEET_ID = os.getenv('SCAMMER_DWC_SPREADSHEET_ID', '1sgkhBNGw_r6tBIxvdeXaI0bVmWBeACN4jiw_oDEeXLw')
# Spreadsheet containing Value lists and Dupe list
VALUES_DUPE_SPREADSHEET_ID = os.getenv('VALUES_DUPE_SPREADSHEET_ID', '1Toe07o3P517q8sm9Qb1e5xyFWCuwgskj71IKJwJNfNU')

SCOPES = ['https://www.googleapis.com/auth/spreadsheets.readonly']

# Sheet Names and Ranges within SCAMMER_DWC_SPREADSHEET_ID
USER_SCAMMER_SHEET = "User Scammer Files"
USER_SCAMMER_RANGE = "B6:G"
SERVER_SCAMMER_SHEET = "Server Scammer Files"
SERVER_SCAMMER_RANGE = "B6:F"
DWC_SHEET = "DWC Servers / Users"
DWC_RANGE = "B6:G"
TRUSTED_SHEET = "Trusted Users / Servers"
TRUSTED_RANGE = "B6:E"

# Sheet Names and Ranges within VALUES_DUPE_SPREADSHEET_ID
DUPE_LIST_SHEET = "Dupe List"
DUPE_LIST_RANGE = "B2:B"
# Value Categories (Sheet Names)
CATEGORIES = [
    "Vehicles", "Textures", "Colours", "Spoilers",
    "Rims", "Furnitures", "Gun Skins", "Hyperchromes"
]
VALUES_RANGE = 'B6:R' # Range within each category sheet including column R for lastUpdated

# Cache Update Interval
CACHE_UPDATE_INTERVAL_SECONDS = 60

# Sheet Update Delay
SHEET_UPDATE_DELAY_SECONDS = 10 # 10 second delay between sheet updates

# Webhook URLs
SCAMMER_WEBHOOK_URL = os.getenv("SCAMMER_WEBHOOK_URL")
VALUE_WEBHOOK_URL = os.getenv("VALUE_WEBHOOK_URL")
DUPE_CHECK_WEBHOOK_URL = os.getenv("DUPE_CHECK_WEBHOOK_URL")


# --- Global Cache ---
cache = {
    "values": {},             # Dict mapping category name to list of items
    "value_changes": {},      # Dict mapping category name to list of recent changes (for API endpoint)
    "user_scammers": [],
    "server_scammers": [],
    "dwc": [],
    "trusted": [],            # New cache key for trusted entries
    "dupes": [],              # List of duped usernames
    "last_updated": None,     # Timestamp of the last successful/partial update
    "is_ready": False,        # Is the cache populated at least once?
    "service_available": True # Is the Google Sheets service reachable?
}
# --- Google Sheets Initialization ---
sheets_service = None # Initialize as None

def quote_sheet_name(name: str) -> str:
    """Adds single quotes around a sheet name if it needs them."""
    if not name:
        return "''"
    # Simple check: if it contains spaces or non-alphanumeric chars (excluding _)
    if not re.match(r"^[a-zA-Z0-9_]+$", name):
        # Escape existing single quotes within the name
        escaped_name = name.replace("'", "''")
        return f"'{escaped_name}'"
    return name

def init_google_sheets(scopes=SCOPES):
    """Initialize Google Sheets credentials from environment variable or file"""
    global sheets_service, cache
    try:
        creds_json_str = os.getenv('CREDENTIALS_JSON')
        if creds_json_str:
            logger.info("Attempting to load credentials from CREDENTIALS_JSON environment variable.")
            creds_json = json.loads(creds_json_str)
            creds = ServiceAccountCredentials.from_service_account_info(
                creds_json,
                scopes=scopes
            )
            sheets_service = build('sheets', 'v4', credentials=creds, cache_discovery=False) # Disable discovery cache
            logger.info("Google Sheets service initialized successfully from ENV VAR.")
            cache["service_available"] = True
            return sheets_service
        else:
            logger.info("CREDENTIALS_JSON environment variable not found. Falling back to file.")
            raise ValueError("CREDENTIALS_JSON not set") # Trigger fallback explicitly

    except Exception as e:
        logger.warning(f"Error initializing Google Sheets from ENV VAR: {e}. Trying file...")
        try:
            # Fallback to loading credentials from file 'credentials.json'
            creds_file = 'credentials.json'
            if os.path.exists(creds_file):
                 logger.info(f"Attempting to load credentials from file '{creds_file}'")
                 creds = ServiceAccountCredentials.from_service_account_file(
                    creds_file,
                    scopes=scopes
                 )
                 sheets_service = build('sheets', 'v4', credentials=creds, cache_discovery=False)
                 logger.info("Google Sheets service initialized successfully from file.")
                 cache["service_available"] = True
                 return sheets_service
            else:
                 logger.error(f"Credentials file '{creds_file}' not found.")
                 raise FileNotFoundError(f"'{creds_file}' not found")

        except Exception as file_e:
            logger.error(f"Error loading credentials from file: {file_e}")
            logger.critical("Google Sheets service could not be initialized. API will be limited.")
            cache["service_available"] = False
            sheets_service = None
            return None

# Initialize on module load
init_google_sheets()


# --- Helper Functions (Data Extraction & Formatting) ---

def extract_drive_id(url):
    if not url or not isinstance(url, str): return None
    match = re.search(r'https://drive\.google\.com/file/d/([^/]+)', url)
    return match.group(1) if match else None

def convert_to_thumbnail_url(drive_url):
    drive_id = extract_drive_id(drive_url)
    return f"https://drive.google.com/thumbnail?id={drive_id}&sz=w1000" if drive_id else drive_url

def extract_image_url(formula, drive_url=None):
    # Priority to explicit drive_url if provided
    if drive_url and isinstance(drive_url, str) and 'drive.google.com' in drive_url:
        return convert_to_thumbnail_url(drive_url)
    if not formula or not isinstance(formula, str): return ''
    # Handle direct URLs
    if formula.startswith('http://') or formula.startswith('https://'):
        return formula
    # Handle =IMAGE("...") formula
    if formula.startswith('=IMAGE('):
        match = re.search(r'=IMAGE\("([^"]+)"', formula)
        if match: return match.group(1)
    return '' # Return empty string if no valid URL found

def format_currency(value: Any) -> Optional[str]:
    if value is None or str(value).strip() == '': return 'N/A'
    try:
        num_str = str(value).replace('$', '').replace(',', '').strip()
        if not num_str or num_str.lower() == 'n/a': return 'N/A'
        num = float(num_str)
        # Check if the number has decimal places
        if num == int(num):
            # For whole numbers, display without decimal places
            return f"${num:,.0f}"
        else:
            # For numbers with decimal places, preserve them
            return f"${num:,}"
    except (ValueError, TypeError):
        # Allow text like "Event", "Unobtainable" etc. to pass through
        if isinstance(value, str) and value.strip() and not re.match(r'^-?[\d,.$]+\$?$', value.strip()):
             return value.strip() # Return original text if non-numeric-like
        return 'N/A' # Return N/A for things that look like bad numbers

def parse_cached_currency(value_str: Optional[str]) -> Optional[float]:
    if value_str is None or str(value_str).strip().lower() == 'n/a':
        return None
    try:
        num_str = str(value_str).replace('$', '').replace(',', '').strip()
        return float(num_str)
    except (ValueError, TypeError):
        return None # Return None if it's not a parsable number (e.g., "Event")

def clean_string(value, default='N/A'):
    if value is None: return default
    cleaned = str(value).strip()
    return cleaned if cleaned else default

def clean_string_optional(value):
    if value is None: return None
    cleaned = str(value).strip()
    return cleaned if cleaned and cleaned != '-' else None

def parse_alt_accounts(value):
    if value is None: return []
    raw_string = str(value).strip()
    if not raw_string or raw_string == '-': return []
    return [acc.strip() for acc in raw_string.split(',') if acc.strip()]


# --- Roblox API Helpers ---
async def get_roblox_user_id(session: aiohttp.ClientSession, username: str):
    if not username: return None
    url = "https://users.roblox.com/v1/usernames/users"
    payload = {"usernames": [username], "excludeBannedUsers": False}
    try:
        # Increased timeout specifically for Roblox API calls which can be slow
        async with session.post(url, json=payload, timeout=aiohttp.ClientTimeout(total=10)) as response:
            if response.status == 200:
                data = await response.json()
                if data and data.get("data") and len(data["data"]) > 0:
                    return data["data"][0].get("id")
            else:
                 logger.warning(f"Roblox User API returned status {response.status} for username '{username}'")
            return None
    except asyncio.TimeoutError:
        logger.warning(f"Timeout fetching Roblox User ID for {username}")
        return None
    except aiohttp.ClientError as e:
        logger.warning(f"Network error fetching Roblox User ID for {username}: {e}")
        return None
    except Exception as e:
        logger.error(f"Unexpected exception fetching Roblox User ID for {username}: {e}", exc_info=True)
        return None

async def get_roblox_avatar_url(session: aiohttp.ClientSession, user_id: int):
    if not user_id: return None
    url = f"https://thumbnails.roblox.com/v1/users/avatar-headshot?userIds={user_id}&size=150x150&format=Png&isCircular=false"
    try:
         # Increased timeout specifically for Roblox API calls
        async with session.get(url, timeout=aiohttp.ClientTimeout(total=10)) as response:
            if response.status == 200:
                data = await response.json()
                if data and data.get("data") and len(data["data"]) > 0:
                    return data["data"][0].get("imageUrl")
            else:
                 logger.warning(f"Roblox Thumbnail API returned status {response.status} for user ID {user_id}")
            return None
    except asyncio.TimeoutError:
        logger.warning(f"Timeout fetching Roblox avatar for User ID {user_id}")
        return None
    except aiohttp.ClientError as e:
        logger.warning(f"Network error fetching Roblox avatar for User ID {user_id}: {e}")
        return None
    except Exception as e:
        logger.error(f"Unexpected exception fetching Roblox avatar for User ID {user_id}: {e}", exc_info=True)
        return None


# --- Data Processing Functions ---

def process_sheet_data(values): # For Value Categories
    if not values: return []
    processed_data = []
    
    for row_idx, row in enumerate(values): # Start counting from sheet row 6 (index 0 here)
        if not row or not any(str(cell).strip() for cell in row if cell is not None): continue
        # Skip header-like rows (e.g., "LEVEL 1 | HYPERCHROMES" in column F/index 4)
        # Use index 4 for Value column (F)
        if len(row) > 4 and isinstance(row[4], str) and re.search(r'(LEVEL \d+ \|)|(VALUE)', row[4], re.IGNORECASE):
            #logger.debug(f"Skipping potential header row {row_idx+6}: {row}")
            continue

        # Indices based on B6:P (0-indexed from B)
        icon_formula = row[0] if len(row) > 0 else ''
        name = row[2] if len(row) > 2 else 'N/A' # Column D
        value_raw = row[4] if len(row) > 4 else 'N/A' # Column F
        duped_value_raw = row[6] if len(row) > 6 else 'N/A' # Column H
        market_value_raw = row[8] if len(row) > 8 else 'N/A' # Column J
        demand = row[10] if len(row) > 10 else 'N/A' # Column L
        notes = row[12] if len(row) > 12 else '' # Column N
        drive_url = row[14] if len(row) > 14 else None # Column P
        # Extract lastUpdated from column R (index 16)
        last_updated = row[16] if len(row) > 16 else None # Column R

        cleaned_name = clean_string(name)
        # Also skip if name is clearly a header like "Name"
        if cleaned_name == 'N/A' or cleaned_name.lower() == 'name':
            #logger.debug(f"Skipping row {row_idx+6} due to missing/header name: {row}")
            continue

        processed_item = {
            'icon': extract_image_url(icon_formula, drive_url),
            'name': cleaned_name,
            'value': format_currency(value_raw),
            'dupedValue': format_currency(duped_value_raw),
            'marketValue': format_currency(market_value_raw),
            'demand': clean_string(demand, 'N/A'),
            'notes': clean_string(notes, '')
            # Remove lastUpdated field - will only be set when an update is detected
        }
        
        # Add lastUpdated if it exists in the sheet
        if last_updated and str(last_updated).strip():
            # Only add if it's in the format yyyy-MM-dd HH:mm:ss
            last_updated_str = str(last_updated).strip()
            # Check if it matches the expected date format
            if re.match(r'^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}$', last_updated_str):
                processed_item['lastUpdated'] = last_updated_str
            
        processed_data.append(processed_item)
    return processed_data

def process_user_scammer_data(values): # For User Scammer Sheet
    if not values: return []
    processed_data = []
    for row in values: # Expected range like B6:G
        if not row or len(row) < 2: continue
        # Indices based on B6:G (0-indexed from B)
        discord_id = clean_string_optional(row[0]) if len(row) > 0 else None # Col B
        roblox_username = clean_string_optional(row[1]) if len(row) > 1 else None # Col C
        # Skip if both identifiers are missing
        if not discord_id and not roblox_username: continue
        # Skip if it looks like a header row
        if str(discord_id).lower() == 'discord id' or str(roblox_username).lower() == 'roblox username':
            continue
        processed_item = {
            'discord_id': discord_id,
            'roblox_username': roblox_username,
            'scam_type': clean_string(row[2]) if len(row) > 2 else 'N/A', # Col D
            'explanation': clean_string(row[3]) if len(row) > 3 else 'N/A', # Col E
            'evidence_link': clean_string_optional(row[4]) if len(row) > 4 else None, # Col F
            'alt_accounts': parse_alt_accounts(row[5]) if len(row) > 5 else [], # Col G
            'roblox_avatar_url': None # Will be filled later
        }
        processed_data.append(processed_item)
    return processed_data

def process_server_scammer_data(values): # For Server Scammer Sheet
    if not values: return []
    processed_data = []
    for row in values: # Expected range like B6:F
        if not row or len(row) < 2: continue
        # Indices based on B6:F (0-indexed from B)
        server_id = clean_string_optional(row[0]) if len(row) > 0 else None # Col B
        server_name = clean_string_optional(row[1]) if len(row) > 1 else None # Col C
        # Skip if both identifiers are missing
        if not server_id and not server_name: continue
        # Skip if it looks like a header row
        if str(server_id).lower() == 'server id' or str(server_name).lower() == 'server name':
             continue
        processed_item = {
            'server_id': server_id,
            'server_name': server_name,
            'scam_type': clean_string(row[2]) if len(row) > 2 else 'N/A', # Col D
            'explanation': clean_string(row[3]) if len(row) > 3 else 'N/A', # Col E
            'evidence_link': clean_string_optional(row[4]) if len(row) > 4 else None # Col F
        }
        processed_data.append(processed_item)
    return processed_data

def process_dwc_data(values): # For DWC Sheet
    if not values: return []
    processed_data = []
    for row in values: # Expected range like B6:G
        if not row or len(row) < 1: continue # Need at least one ID
        # Indices based on B6:G (0-indexed from B)
        user_id = clean_string_optional(row[0]) if len(row) > 0 else None # Col B
        server_id = clean_string_optional(row[1]) if len(row) > 1 else None # Col C
        roblox_user = clean_string_optional(row[2]) if len(row) > 2 else None # Col D
        # Skip if all identifiers are missing
        if not user_id and not server_id and not roblox_user: continue
        # Skip if it looks like a header row
        if str(user_id).lower() == 'user id' or str(server_id).lower() == 'server id' or str(roblox_user).lower() == 'roblox user':
             continue
        processed_item = {
            'status': 'DWC',
            'discord_user_id': user_id,
            'discord_server_id': server_id,
            'roblox_username': roblox_user,
            'explanation': clean_string(row[3]) if len(row) > 3 else 'N/A', # Col E
            'evidence_link': clean_string_optional(row[4]) if len(row) > 4 else None, # Col F
            'alt_accounts': parse_alt_accounts(row[5]) if len(row) > 5 else [], # Col G
            'roblox_avatar_url': None # Will be filled later
        }
        processed_data.append(processed_item)
    return processed_data

def process_trusted_data(values): # New function for Trusted Sheet
    if not values: return []
    processed_data = []
    for row in values: # Expected range like B6:E
        if not row or len(row) < 1: continue # Need at least one identifier
        # Indices based on B6:E (0-indexed from B)
        discord_user_id = clean_string_optional(row[0]) if len(row) > 0 else None # Col B
        # discord_username = clean_string_optional(row[1]) if len(row) > 1 else None # Col C - Not currently used for matching, but keep for potential future use
        discord_server_id = clean_string_optional(row[2]) if len(row) > 2 else None # Col D
        roblox_username = clean_string_optional(row[3]) if len(row) > 3 else None # Col E

        # Skip if all relevant identifiers are missing
        if not discord_user_id and not discord_server_id and not roblox_username: continue

        # Skip if it looks like a header row (check common header names)
        if (str(discord_user_id).lower() == 'discord user id' or
            str(discord_server_id).lower() == 'discord server id' or
            str(roblox_username).lower() == 'roblox username'):
            continue

        processed_item = {
            'status': 'Trusted', # Add a status field
            'discord_user_id': discord_user_id,
            'discord_server_id': discord_server_id,
            'roblox_username': roblox_username,
            'roblox_avatar_url': None # Will be filled later if roblox_username exists
            # Note: No explanation or evidence expected for trusted entries based on B6:E
        }
        processed_data.append(processed_item)
    return processed_data

def process_dupe_list_data(values): # For Dupe List Sheet
    if not values: return []
    # Expected range like B2:B
    processed_dupes = []
    for row in values:
        if row and len(row)>0 and row[0] and isinstance(row[0], str):
            username = row[0].strip().lower()
            # Skip header or empty strings
            if username and username not in ('username', 'usernames'):
                 processed_dupes.append(username)
    return processed_dupes


# --- Async Fetching Functions ---

async def fetch_batch_ranges_async(spreadsheet_id: str, ranges: List[str], value_render_option: str = 'FORMATTED_VALUE') -> List[Dict]:
    """Async wrapper to fetch multiple ranges using batchGet and return raw valueRanges."""
    global sheets_service, cache
    if not sheets_service:
        logger.warning(f"Attempted batch fetch from {spreadsheet_id} but Sheets service is unavailable.")
        raise Exception("Google Sheets service not initialized")
    if not ranges:
        logger.warning(f"Batch fetch called with empty ranges for {spreadsheet_id}.")
        return []

    try:
        logger.info(f"Fetching batch ranges from {spreadsheet_id}: {ranges}")
        loop = asyncio.get_event_loop()
        result = await loop.run_in_executor(
            None,
            lambda: sheets_service.spreadsheets().values().batchGet(
                spreadsheetId=spreadsheet_id,
                ranges=ranges,
                valueRenderOption=value_render_option,
                majorDimension='ROWS'
            ).execute()
        )
        value_ranges = result.get('valueRanges', [])
        logger.info(f"Successfully fetched batch data for {len(value_ranges)} ranges from {spreadsheet_id}.")
        return value_ranges # Return the raw list of valueRange objects

    except HttpError as e:
        status_code = e.resp.status
        error_details = {}
        try:
            error_details = json.loads(e.content).get('error', {})
        except json.JSONDecodeError:
             logger.error(f"Failed to parse JSON error content from Google API: {e.content}")

        status = error_details.get('status', f'HTTP_{status_code}') # Use HTTP status if details missing
        message = error_details.get('message', e._get_reason()) # Fallback message
        logger.error(f"Google API HTTP Error during batch fetch for {spreadsheet_id}: Status={status}, Message={message}")

        if status in ('PERMISSION_DENIED', 'UNAUTHENTICATED') or status_code == 403 or status_code == 401:
            logger.critical(f"Authentication/Permission Error accessing {spreadsheet_id}. Disabling service checks.")
            cache["service_available"] = False # Mark service as down
            sheets_service = None # Reset service to force re-init attempt
        elif status == 'NOT_FOUND' or status_code == 404:
             logger.error(f"Spreadsheet or Range not found error for {spreadsheet_id}. Ranges: {ranges}. Check IDs and Sheet Names.")
        elif status_code >= 500: # Server-side errors on Google's end
             logger.warning(f"Google API server error ({status_code}) for {spreadsheet_id}. May be temporary.")
             # Keep service_available as True, retry might work
        # else: # Other client errors (e.g., 400 Bad Request for invalid range format)

        raise e # Re-raise after logging
    except Exception as e:
        logger.error(f"Error during batch fetching from {spreadsheet_id} for ranges {ranges}: {e}", exc_info=True)
        # Could be network issues, timeouts handled by aiohttp session typically
        # Consider marking service unavailable for persistent non-HTTP errors too?
        # cache["service_available"] = False # Optional: Be more aggressive
        raise e

# --- Webhook Sending ---
async def send_webhook_notification(session: aiohttp.ClientSession, webhook_url: str, embed: Dict):
    """Sends a Discord webhook notification with the provided embed."""
    if not webhook_url:
        # logger.debug("Webhook URL not configured. Skipping notification.")
        return
    if not embed:
        logger.warning("Attempted to send webhook with empty embed.")
        return

    webhook_data = {"embeds": [embed]}
    try:
        # Use a reasonable timeout for webhook posts
        async with session.post(webhook_url, json=webhook_data, timeout=aiohttp.ClientTimeout(total=10)) as response:
            if response.status not in [200, 204]:
                # Log more details on failure
                response_text = await response.text()
                logger.warning(f"Failed to send webhook to {webhook_url[:30]}... (Status: {response.status}): {response_text[:500]}") # Limit response text length
            # else:
            #     logger.debug(f"Webhook notification sent successfully to {webhook_url[:30]}...")
    except asyncio.TimeoutError:
        logger.warning(f"Timeout sending webhook to {webhook_url[:30]}...")
    except aiohttp.ClientError as e:
        logger.error(f"Network error sending webhook to {webhook_url[:30]}...: {e}")
    except Exception as e:
        logger.error(f"Unexpected error sending webhook: {e}", exc_info=True)

# --- Background Cache Update Task ---

async def update_cache_periodically():
    """Fetches data, processes, detects changes/new entries (if not first run), sends webhooks, and updates cache."""
    global cache
    # Increase overall session timeout slightly for robustness
    async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=45)) as session:
        while True:
            if not cache["service_available"]:
                logger.info("Attempting to re-initialize Google Sheets service...")
                init_google_sheets()
                if not cache["service_available"]:
                    logger.warning("Google Sheets service still unavailable, skipping cache update cycle.")
                    await asyncio.sleep(CACHE_UPDATE_INTERVAL_SECONDS * 2) # Wait longer if service is down
                    continue
                else:
                    logger.info("Google Sheets service re-initialized. Proceeding with cache update.")

            logger.info(f"Starting cache update cycle... (Cache Ready: {cache['is_ready']})")
            start_time = datetime.now(timezone.utc)
            webhook_tasks = [] # Store webhook sending tasks

            # Prepare temporary storage for fetched data
            fetched_values_categories = {} # { "CategoryName": [items...] }
            new_cache_data = {
                "user_scammers": [],
                "server_scammers": [],
                "dwc": [],
                "trusted": [], # Add trusted key
                "dupes": [],
            }
            current_errors = {} # Track errors for specific fetches/sheets

            try:
                # --- Define Ranges and Processors ---
                scammer_dwc_ranges = [
                    f"{quote_sheet_name(USER_SCAMMER_SHEET)}!{USER_SCAMMER_RANGE}",
                    f"{quote_sheet_name(SERVER_SCAMMER_SHEET)}!{SERVER_SCAMMER_RANGE}",
                    f"{quote_sheet_name(DWC_SHEET)}!{DWC_RANGE}",
                    f"{quote_sheet_name(TRUSTED_SHEET)}!{TRUSTED_RANGE}", # Add trusted range
                ]
                scammer_dwc_processor_map = {
                    USER_SCAMMER_SHEET: process_user_scammer_data,
                    SERVER_SCAMMER_SHEET: process_server_scammer_data,
                    DWC_SHEET: process_dwc_data,
                    TRUSTED_SHEET: process_trusted_data, # Add trusted processor
                }
                scammer_dwc_target_key_map = {
                    USER_SCAMMER_SHEET: "user_scammers",
                    SERVER_SCAMMER_SHEET: "server_scammers",
                    DWC_SHEET: "dwc",
                    TRUSTED_SHEET: "trusted", # Add trusted target key
                }

                values_dupes_ranges = [f"{quote_sheet_name(DUPE_LIST_SHEET)}!{DUPE_LIST_RANGE}"]
                values_dupes_ranges.extend([f"{quote_sheet_name(cat)}!{VALUES_RANGE}" for cat in CATEGORIES])

                # --- Define Fetch Tasks ---
                fetch_tasks = {
                    "scammer_dwc_batch": fetch_batch_ranges_async(
                        SCAMMER_DWC_SPREADSHEET_ID,
                        scammer_dwc_ranges,
                        value_render_option='FORMATTED_VALUE'
                    ),
                }
                
                # Execute scammer/dwc batch first
                results = await asyncio.gather(*fetch_tasks.values(), return_exceptions=True)
                task_keys = list(fetch_tasks.keys())
                
                # Add delay between sheet updates
                await asyncio.sleep(SHEET_UPDATE_DELAY_SECONDS)
                
                # Now fetch values/dupes batch
                fetch_tasks = {
                    "values_dupes_batch": fetch_batch_ranges_async(
                        VALUES_DUPE_SPREADSHEET_ID,
                        values_dupes_ranges,
                        value_render_option='FORMATTED_VALUE'
                    )
                }
                
                # Execute values/dupes batch
                values_results = await asyncio.gather(*fetch_tasks.values(), return_exceptions=True)
                task_keys.extend(list(fetch_tasks.keys()))
                results.extend(values_results)

                # --- Process Results ---
                raw_scammer_dwc_results = None
                raw_values_dupes_results = None

                for i, result in enumerate(results):
                    key = task_keys[i]
                    if isinstance(result, Exception):
                        logger.error(f"Failed to fetch batch data for {key}: {result}")
                        current_errors[key] = str(result)
                        # If fetch failed, likely service unavailable (handled by fetch_batch_ranges_async)
                        # No need to explicitly set cache["service_available"] = False here again
                    else:
                        if key == "scammer_dwc_batch":
                            raw_scammer_dwc_results = result
                        elif key == "values_dupes_batch":
                            raw_values_dupes_results = result

                # --- Process Scammer/DWC Results ---
                if raw_scammer_dwc_results is not None:
                    logger.info(f"Processing {len(raw_scammer_dwc_results)} valueRanges from Scammer/DWC sheet...")
                    for vr in raw_scammer_dwc_results:
                        range_str = vr.get('range', '')
                        match = re.match(r"^'?([^'!]+)'?!", range_str)
                        if not match:
                            logger.warning(f"Could not extract sheet name from range '{range_str}' in Scammer/DWC response.")
                            continue
                        sheet_name = match.group(1).replace("''", "'")

                        if sheet_name in scammer_dwc_processor_map:
                            processor = scammer_dwc_processor_map[sheet_name]
                            target_key = scammer_dwc_target_key_map[sheet_name]
                            values = vr.get('values', [])
                            try:
                                processed_data = processor(values)
                                new_cache_data[target_key] = processed_data # Store fetched data temporarily
                                logger.info(f"Processed {len(processed_data)} items for {sheet_name} -> {target_key}")
                            except Exception as e:
                                logger.error(f"Error processing data for {sheet_name} using {processor.__name__}: {e}", exc_info=True)
                                current_errors[f"process_{target_key}"] = str(e)
                        else:
                            logger.warning(f"No processor found for sheet name '{sheet_name}' derived from range '{range_str}' in Scammer/DWC sheet.")
                else:
                    logger.warning("Skipping Scammer/DWC processing due to fetch error.")


                # --- Process Values/Dupes Results ---
                if raw_values_dupes_results is not None:
                    logger.info(f"Processing {len(raw_values_dupes_results)} valueRanges from Values/Dupes sheet...")
                    for vr in raw_values_dupes_results:
                        range_str = vr.get('range', '')
                        match = re.match(r"^'?([^'!]+)'?!", range_str)
                        if not match:
                            logger.warning(f"Could not extract sheet name from range '{range_str}' in Values/Dupes response.")
                            continue
                        sheet_name = match.group(1).replace("''", "'")

                        values = vr.get('values', [])
                        try:
                            if sheet_name == DUPE_LIST_SHEET:
                                processed_data = process_dupe_list_data(values)
                                new_cache_data["dupes"] = processed_data # Store fetched data temporarily
                                logger.info(f"Processed {len(processed_data)} items for {DUPE_LIST_SHEET} -> dupes")
                            elif sheet_name in CATEGORIES:
                                processed_data = process_sheet_data(values)
                                fetched_values_categories[sheet_name] = processed_data # Store fetched data temporarily
                                logger.info(f"Processed {len(processed_data)} items for Category: {sheet_name}")
                            else:
                                logger.warning(f"Unrecognized sheet name '{sheet_name}' derived from range '{range_str}' in Values/Dupes sheet.")
                        except Exception as e:
                            target_key = "dupes" if sheet_name == DUPE_LIST_SHEET else f"values_{sheet_name}"
                            logger.error(f"Error processing data for {sheet_name}: {e}", exc_info=True)
                            current_errors[f"process_{target_key}"] = str(e)
                else:
                     logger.warning("Skipping Values/Dupes processing due to fetch error.")

                # --- Fetch Roblox Avatars (for new data before comparison/webhook) ---
                if not current_errors.get("scammer_dwc_batch") and \
                   not current_errors.get("process_user_scammers") and \
                   not current_errors.get("process_dwc") and \
                   not current_errors.get("process_trusted"): # Check trusted processing too
                    logger.info("Fetching Roblox avatars for newly processed data...")
                    avatar_tasks = []
                    entries_needing_avatars = new_cache_data.get("user_scammers", []) + new_cache_data.get("dwc", []) + new_cache_data.get("trusted", []) # Include trusted list
                    for entry in entries_needing_avatars:
                        if entry.get('roblox_username'):
                            avatar_tasks.append(fetch_avatar_for_entry_update(session, entry))
                    if avatar_tasks:
                        await asyncio.gather(*avatar_tasks) # Exceptions logged within helper
                    logger.info(f"Finished fetching avatars for {len(avatar_tasks)} potential new entries.")
                else:
                    logger.warning("Skipping avatar fetching due to errors in fetching/processing scammer/dwc/trusted data.")


                # --- Change Detection & Webhook Preparation (ONLY if cache is ready) ---
                current_time = datetime.now(timezone.utc)
                timestamp_iso = current_time.isoformat()
                detected_value_changes_for_api = {} # Always calculate for API, but only send webhooks if ready

                # Perform comparisons regardless of cache readiness to populate detected_value_changes_for_api
                # But only queue webhooks if cache["is_ready"] is True

                # 1. Value Changes Calculation
                if "values" not in cache: cache["values"] = {} # Ensure exists for comparison logic
                if "values_dupes_batch" not in current_errors and not any(k.startswith("process_values_") for k in current_errors):
                    fields_to_compare = ['value', 'dupedValue', 'marketValue']
                    for category, new_items in fetched_values_categories.items():
                        old_items_dict = {item['name'].lower(): item for item in cache["values"].get(category, [])} # Use lower case for comparison robustness
                        category_changes_for_api = []

                        for new_item in new_items:
                            item_name = new_item.get('name')
                            if not item_name or item_name == 'N/A': continue
                            item_name_lower = item_name.lower()

                            old_item = old_items_dict.get(item_name_lower)
                            change_detected_for_webhook = False
                            change_info_webhook = {}

                            if old_item: # Check existing item for changes
                                for field in fields_to_compare:
                                    old_val_str = old_item.get(field, 'N/A')
                                    new_val_str = new_item.get(field, 'N/A')
                                    # Simple string comparison is sufficient here as they are formatted consistently
                                    if old_val_str != new_val_str:
                                        logger.info(f"Change detected in {category}: {item_name} - {field}: '{old_val_str}' -> '{new_val_str}'")
                                        change_info = {
                                            "item_name": item_name, "field": field,
                                            "old_value": old_val_str if old_val_str is not None else "N/A",
                                            "new_value": new_val_str if new_val_str is not None else "N/A",
                                            "timestamp": timestamp_iso
                                        }
                                        category_changes_for_api.append(change_info)
                                        change_detected_for_webhook = True
                                        change_info_webhook = change_info # Store last change for potential webhook
                            else:
                                # This is a new item, but don't add lastUpdated field here
                                pass

                            # Prepare webhook only if a change was found AND cache was ready
                            if change_detected_for_webhook and cache["is_ready"] and VALUE_WEBHOOK_URL:
                                embed = {
                                    "title": f"Value Update: {item_name} ({category})",
                                    "color": 3447003, # Blue
                                    "fields": [
                                        {"name": "Field Changed", "value": change_info_webhook['field'], "inline": True},
                                        {"name": "Old Value", "value": f"`{change_info_webhook['old_value']}`", "inline": True},
                                        {"name": "New Value", "value": f"`{change_info_webhook['new_value']}`", "inline": True},
                                        {"name": "Item Notes", "value": new_item.get('notes', 'N/A')[:1020] or 'N/A', "inline": False}, # Limit notes length
                                    ],
                                    "timestamp": timestamp_iso
                                }
                                if new_item.get('icon'):
                                    embed["thumbnail"] = {"url": new_item['icon']}
                                webhook_tasks.append(send_webhook_notification(session, VALUE_WEBHOOK_URL, embed))

                        if category_changes_for_api:
                            detected_value_changes_for_api[category] = category_changes_for_api
                    if cache["is_ready"] and VALUE_WEBHOOK_URL:
                        logger.info(f"Prepared {len(webhook_tasks)} value change webhooks.")
                    elif not VALUE_WEBHOOK_URL:
                         logger.info("VALUE_WEBHOOK_URL not set, skipping value change webhook sending.")
                    elif not cache["is_ready"]:
                         logger.info("Skipping value change webhook sending during initial cache population.")
                else:
                     logger.warning("Skipping value change detection and webhooks due to fetch/processing errors.")


                # 2. New Scammers / DWC (Only if cache is ready)
                if cache["is_ready"] and SCAMMER_WEBHOOK_URL and \
                   "scammer_dwc_batch" not in current_errors and \
                   not any(k.startswith("process_") and k in ["process_user_scammers", "process_server_scammers", "process_dwc"] for k in current_errors):

                    logger.info("Detecting new scammer/DWC entries for webhooks (cache is ready)...")
                    initial_webhook_task_count = len(webhook_tasks)
                    added_new_scammer_webhook = False

                    # --- User Scammers ---
                    # Create keys robust to None values
                    def get_user_scammer_key(item):
                        return (item.get('discord_id') or 'none', item.get('roblox_username') or 'none')
                    old_user_keys = set(get_user_scammer_key(item) for item in cache.get("user_scammers", []))

                    for item in new_cache_data.get("user_scammers", []):
                        key = get_user_scammer_key(item)
                        if key not in old_user_keys:
                            logger.info(f"New User Scammer detected: Discord={item.get('discord_id')}, Roblox={item.get('roblox_username')}")
                            embed = {
                                "title": "🚨 New User Scammer Added", "color": 15158332, # Red
                                "fields": [
                                    {"name": "Discord ID", "value": f"`{item.get('discord_id', 'N/A')}`", "inline": True},
                                    {"name": "Roblox User", "value": f"`{item.get('roblox_username', 'N/A')}`", "inline": True},
                                    {"name": "Scam Type", "value": item.get('scam_type', 'N/A')[:1020] or 'N/A', "inline": False},
                                    {"name": "Explanation", "value": item.get('explanation', 'N/A')[:1020] or 'N/A', "inline": False},
                                ], "timestamp": timestamp_iso
                            }
                            if item.get('evidence_link'): embed["fields"].append({"name": "Evidence", "value": item['evidence_link'], "inline": False})
                            if item.get('alt_accounts'): embed["fields"].append({"name": "Alt Accounts", "value": ", ".join([f"`{a}`" for a in item['alt_accounts']])[:1020] or 'N/A', "inline": False}) # Limit length
                            if item.get('roblox_avatar_url'): embed["thumbnail"] = {"url": item['roblox_avatar_url']}
                            webhook_tasks.append(send_webhook_notification(session, SCAMMER_WEBHOOK_URL, embed))
                            added_new_scammer_webhook = True

                    # --- Server Scammers ---
                    def get_server_scammer_key(item):
                        return (item.get('server_id') or 'none', item.get('server_name') or 'none')
                    old_server_keys = set(get_server_scammer_key(item) for item in cache.get("server_scammers", []))

                    for item in new_cache_data.get("server_scammers", []):
                        key = get_server_scammer_key(item)
                        if key not in old_server_keys:
                            logger.info(f"New Server Scammer detected: ID={item.get('server_id')}, Name={item.get('server_name')}")
                            embed = {
                                "title": "🚨 New Server Scammer Added", "color": 15158332, # Red
                                "fields": [
                                    {"name": "Server ID", "value": f"`{item.get('server_id', 'N/A')}`", "inline": True},
                                    {"name": "Server Name", "value": f"`{item.get('server_name', 'N/A')}`", "inline": True},
                                    {"name": "Scam Type", "value": item.get('scam_type', 'N/A')[:1020] or 'N/A', "inline": False},
                                    {"name": "Explanation", "value": item.get('explanation', 'N/A')[:1020] or 'N/A', "inline": False},
                                ], "timestamp": timestamp_iso
                            }
                            if item.get('evidence_link'): embed["fields"].append({"name": "Evidence", "value": item['evidence_link'], "inline": False})
                            webhook_tasks.append(send_webhook_notification(session, SCAMMER_WEBHOOK_URL, embed))
                            added_new_scammer_webhook = True

                    # --- DWC Entries ---
                    def get_dwc_key(item):
                         # Use a combination of available identifiers as the key
                        return (
                            item.get('discord_user_id') or 'none',
                            item.get('discord_server_id') or 'none',
                            item.get('roblox_username') or 'none'
                        )
                    old_dwc_keys = set(get_dwc_key(item) for item in cache.get("dwc", []))

                    for item in new_cache_data.get("dwc", []):
                        key = get_dwc_key(item)
                        if key not in old_dwc_keys:
                            logger.info(f"New DWC Entry detected: User={item.get('discord_user_id')}, Server={item.get('discord_server_id')}, Roblox={item.get('roblox_username')}")
                            embed = {
                                "title": "⚠️ New DWC Entry Added", "color": 15105570, # Orange/Dark Yellow
                                "fields": [
                                    {"name": "Discord User ID", "value": f"`{item.get('discord_user_id', 'N/A')}`", "inline": True},
                                    {"name": "Discord Server ID", "value": f"`{item.get('discord_server_id', 'N/A')}`", "inline": True},
                                    {"name": "Roblox User", "value": f"`{item.get('roblox_username', 'N/A')}`", "inline": True},
                                    {"name": "Explanation", "value": item.get('explanation', 'N/A')[:1020] or 'N/A', "inline": False},
                                ], "timestamp": timestamp_iso
                            }
                            if item.get('evidence_link'): embed["fields"].append({"name": "Evidence", "value": item['evidence_link'], "inline": False})
                            if item.get('alt_accounts'): embed["fields"].append({"name": "Alt Accounts", "value": ", ".join([f"`{a}`" for a in item['alt_accounts']])[:1020] or 'N/A', "inline": False})
                            if item.get('roblox_avatar_url'): embed["thumbnail"] = {"url": item['roblox_avatar_url']}
                            webhook_tasks.append(send_webhook_notification(session, SCAMMER_WEBHOOK_URL, embed))
                            added_new_scammer_webhook = True

                    if added_new_scammer_webhook:
                        logger.info(f"Prepared {len(webhook_tasks) - initial_webhook_task_count} new scammer/DWC webhooks.")

                elif not cache["is_ready"]:
                     logger.info("Skipping new scammer webhook detection during initial cache population.")
                elif not SCAMMER_WEBHOOK_URL:
                     logger.info("SCAMMER_WEBHOOK_URL not set, skipping new scammer webhook detection.")
                else: # Errors occurred
                     logger.warning("Skipping new scammer webhook detection due to fetch/processing errors.")


                # --- Send Webhooks Concurrently ---
                if webhook_tasks:
                    logger.info(f"Sending {len(webhook_tasks)} webhook notifications...")
                    await asyncio.gather(*webhook_tasks)
                    logger.info("Finished sending webhook notifications.")
                else:
                    logger.info("No webhooks prepared to send for this cycle.")


                # --- Final Cache Update ---
                update_occurred = False
                # Determine if this cycle *should* mark the cache as ready
                can_set_ready = not cache["is_ready"] and not current_errors # Only set ready on first *fully successful* run

                if not current_errors: # Perfect cycle
                    logger.info("Updating full cache (no errors during fetch or processing).")
                    cache["values"] = fetched_values_categories
                    cache["user_scammers"] = new_cache_data["user_scammers"]
                    cache["server_scammers"] = new_cache_data["server_scammers"]
                    cache["dwc"] = new_cache_data["dwc"]
                    cache["trusted"] = new_cache_data["trusted"]
                    cache["dupes"] = new_cache_data["dupes"]
                    cache["value_changes"] = detected_value_changes_for_api # Store the detected changes
                    cache["last_updated"] = current_time
                    if can_set_ready:
                        logger.info("Marking cache as ready after initial successful population.")
                        cache["is_ready"] = True
                    cache["service_available"] = True # Mark as available on success
                    update_occurred = True
                    logger.info(f"Cache update cycle completed successfully.")
                else: # Errors occurred, attempt partial update
                    logger.warning(f"Cache update cycle completed with errors: {current_errors}. Attempting partial update.")
                    partial_update_details = []

                    # Update values only if the values/dupes batch succeeded AND processing succeeded
                    if "values_dupes_batch" not in current_errors and not any(k.startswith("process_values_") for k in current_errors):
                        if cache.get("values") != fetched_values_categories:
                             cache["values"] = fetched_values_categories
                             cache["value_changes"] = detected_value_changes_for_api # Update changes along with values
                             partial_update_details.append("values")
                             update_occurred = True
                    else:
                         logger.warning("Skipping update for 'values' due to errors.")

                    # Update dupes only if the values/dupes batch succeeded AND processing succeeded
                    if "values_dupes_batch" not in current_errors and "process_dupes" not in current_errors:
                         if cache.get("dupes") != new_cache_data["dupes"]:
                            cache["dupes"] = new_cache_data["dupes"]
                            partial_update_details.append("dupes")
                            update_occurred = True
                    else:
                         logger.warning("Skipping update for 'dupes' due to errors.")

                    # Update scammer/DWC sections if their batch succeeded AND processing succeeded
                    if "scammer_dwc_batch" not in current_errors:
                        for key in ["user_scammers", "server_scammers", "dwc", "trusted"]: # Include "trusted" in this list
                            process_error_key = f"process_{key}"
                            if process_error_key not in current_errors:
                                 if cache.get(key) != new_cache_data[key]:
                                    cache[key] = new_cache_data[key]
                                    partial_update_details.append(key)
                                    update_occurred = True
                            else:
                                logger.warning(f"Skipping update for '{key}' due to processing error.")
                    else:
                         logger.warning("Skipping update for 'user_scammers', 'server_scammers', 'dwc', 'trusted' due to batch fetch error.")

                    if update_occurred:
                         cache["last_updated"] = current_time # Mark partial update time
                         # Mark cache ready only if it was *already* ready and we managed a partial update
                         # Or if this was the first run AND it was partially successful (maybe relax this?)
                         # Let's stick to: only mark ready on first FULL success.
                         if cache["is_ready"]: # If it was already ready, keep it ready
                              logger.info(f"Partially updated cache sections: {', '.join(partial_update_details)}. Cache remains ready.")
                         else:
                              logger.info(f"Partially updated cache sections: {', '.join(partial_update_details)}. Cache remains NOT ready (requires full success on first run).")
                         # Keep service_available based on whether fetch errors occurred
                    else:
                         logger.error(f"Cache update cycle failed, and no parts could be updated based on errors. Errors: {current_errors}")
                         # Cache readiness and service availability remain unchanged

            except Exception as e:
                logger.exception(f"Critical error during cache update cycle: {e}")
                # If a critical error happens (e.g., network error during fetch), mark service potentially unavailable
                if isinstance(e, (aiohttp.ClientError, HttpError, asyncio.TimeoutError)):
                    logger.warning("Communication error detected, will re-check service availability next cycle.")
                    # service_available might have already been set to False by fetch_batch_ranges_async

            # --- Wait for the next cycle ---
            end_time = datetime.now(timezone.utc)
            duration = (end_time - start_time).total_seconds()
            wait_time = max(10, CACHE_UPDATE_INTERVAL_SECONDS - duration) # Ensure at least 10s wait
            logger.info(f"Cache update cycle duration: {duration:.2f}s. Waiting {wait_time:.2f}s for next cycle.")
            await asyncio.sleep(wait_time)


async def fetch_avatar_for_entry_update(session: aiohttp.ClientSession, entry: dict):
    """Fetches avatar and updates the provided entry dictionary IN PLACE."""
    roblox_username = entry.get('roblox_username')
    if not roblox_username: return

    new_avatar = None # Default to None
    try:
        user_id = await get_roblox_user_id(session, roblox_username)
        if user_id:
            new_avatar = await get_roblox_avatar_url(session, user_id)
        # else: # User ID not found, keep avatar as None
           # logger.debug(f"Roblox user ID not found for username: {roblox_username}")

    except Exception as e:
        # Log errors but don't stop the main update loop
        logger.warning(f"Failed to fetch avatar for {roblox_username}: {e}")
        # Keep new_avatar as None on error

    finally:
         # Update the entry dict directly
         entry['roblox_avatar_url'] = new_avatar


# --- FastAPI Startup Event ---
@app.on_event("startup")
async def startup_event():
    """Starts the background cache update task."""
    if not cache["service_available"]:
         logger.warning("Google Sheets service not available at startup. Will attempt re-init in background task.")
    logger.info("Starting background cache update task...")
    # Check for webhook URLs at startup
    if not SCAMMER_WEBHOOK_URL:
        logger.warning("SCAMMER_WEBHOOK_URL environment variable not set. New scammer notifications disabled.")
    if not VALUE_WEBHOOK_URL:
        logger.warning("VALUE_WEBHOOK_URL environment variable not set. Value change notifications disabled.")
    if not DUPE_CHECK_WEBHOOK_URL:
        logger.warning("WEBHOOK_URL (for dupe checks) environment variable not set. Dupe check notifications disabled.")
    asyncio.create_task(update_cache_periodically())


# --- API Endpoints ---

def check_cache_readiness():
    """Reusable check for API endpoints - Checks cache readiness"""
    if not cache["is_ready"]:
         # Be more specific if service is known to be down
         if not cache["service_available"]:
              raise HTTPException(status_code=503, detail="Service temporarily unavailable due to backend connection issues. Please try again later.")
         else:
              raise HTTPException(status_code=503, detail="Cache is initializing or data is currently unavailable. Please try again shortly.")


@app.get("/")
async def root():
    return {"message": "JVC API - Running"}

@app.get("/api/status")
async def get_status():
    """Returns the current status of the cache and service availability"""
    last_updated_iso = cache["last_updated"].isoformat() if cache["last_updated"] else None
    return {
        "cache_ready": cache["is_ready"],
        "sheets_service_available": cache["service_available"],
        "last_updated": last_updated_iso,
        "cached_items": {
            "value_categories": len(cache.get("values", {})),
            "user_scammers": len(cache.get("user_scammers", [])),
            "server_scammers": len(cache.get("server_scammers", [])),
            "dwc_entries": len(cache.get("dwc", [])),
            "trusted_entries": len(cache.get("trusted", [])), # Add trusted count
            "duped_usernames": len(cache.get("dupes", [])),
        },
         "value_change_categories_in_last_cycle": len(cache.get("value_changes", {}))
    }

@app.get("/api/values")
async def get_values():
    """Get all values data from cache"""
    check_cache_readiness()
    return cache.get("values", {})

@app.get("/api/values/{category}")
async def get_category_values(category: str):
    """Get values data for a specific category from cache"""
    check_cache_readiness()
    # Case-insensitive matching for category name
    matched_category = next((c for c in cache.get("values", {}).keys() if c.lower() == category.lower()), None)
    if not matched_category:
         # Check if the category *exists* conceptually even if empty
         valid_categories_lower = [c.lower() for c in CATEGORIES]
         if category.lower() in valid_categories_lower:
              return {category: []} # Return empty list if category is valid but has no items yet
         else:
            raise HTTPException(status_code=404, detail=f"Category '{category}' not found.")
    return {matched_category: cache.get("values", {}).get(matched_category, [])}


@app.get("/api/value-changes/{category}")
async def get_category_value_changes(category: str):
    """Get detected value changes for a specific category from the last cache update cycle."""
    check_cache_readiness()
    # Case-insensitive matching for category name
    matched_category = next((c for c in cache.get("value_changes", {}).keys() if c.lower() == category.lower()), None)
    if not matched_category:
         # Check if the category *exists* conceptually even if empty
         valid_categories_lower = [c.lower() for c in CATEGORIES]
         if category.lower() in valid_categories_lower:
              return {category: []} # Return empty list if category is valid but had no changes
         else:
            raise HTTPException(status_code=404, detail=f"Category '{category}' not found.")
    return {matched_category: cache.get("value_changes", {}).get(matched_category, [])}

@app.get("/api/value-changes")
async def get_all_value_changes():
    """Get all detected value changes from the last cache update cycle."""
    check_cache_readiness()
    return cache.get("value_changes", {})

@app.get("/api/scammers")
async def get_scammers():
    """Get all scammer, DWC, and trusted data (users, servers, dwc, trusted) from cache"""
    check_cache_readiness()
    return {
        "users": cache.get("user_scammers", []),
        "servers": cache.get("server_scammers", []),
        "dwc": cache.get("dwc", []),
        "trusted": cache.get("trusted", []) # Include trusted list
    }

@app.get("/api/dupes")
async def get_dupes():
    """Get all duped usernames from cache"""
    check_cache_readiness()
    return {"usernames": cache.get("dupes", [])} # Return empty list if not ready or empty


class UsernameCheck(BaseModel):
    username: str

@app.post("/api/check")
async def check_username(data: UsernameCheck):
    """Check if a username is duped using cached data and optionally send webhook"""
    check_cache_readiness() # Use the standard readiness check

    username_to_check = data.username.strip().lower()
    # Ensure dupes list is populated before checking
    dupes_list = cache.get("dupes", [])
    is_duped = username_to_check in dupes_list

    # Webhook notification for checks resulting in "Not Found"
    if not is_duped:
        if DUPE_CHECK_WEBHOOK_URL:
            async def send_check_webhook():
                 try:
                    # Use a short-lived session for this potentially frequent task
                    async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=10)) as session:
                        embed = {
                                "title": "User Dupe Check - Not Found",
                                "description": f"Username `{data.username}` was checked against the dupe list but was **not** found.",
                                "color": 16776960, # Yellow
                                "timestamp": datetime.now(timezone.utc).isoformat()
                        }
                        await send_webhook_notification(session, DUPE_CHECK_WEBHOOK_URL, embed)
                 except Exception as e:
                     logger.error(f"Error sending dupe check webhook: {e}")

            asyncio.create_task(send_check_webhook()) # Fire and forget
        else:
            logger.info("WEBHOOK_URL (for dupe checks) not configured. Skipping notification.")

    return {"username": data.username, "is_duped": is_duped}


@app.get("/health")
def health_check():
    """Provides a health status of the API and its cache."""
    now = datetime.now(timezone.utc)
    status_detail = {"status": "ok", "last_updated": None, "time_since_update_seconds": None}

    if cache["last_updated"]:
        status_detail["last_updated"] = cache["last_updated"].isoformat()
        time_since_update = (now - cache["last_updated"]).total_seconds()
        status_detail["time_since_update_seconds"] = round(time_since_update)
    else:
        status_detail["last_updated"] = None
        status_detail["time_since_update_seconds"] = None


    if not cache["is_ready"]:
        status_detail["status"] = "initializing"
        status_detail["reason"] = "Cache has not been populated yet."
        return status_detail

    if not cache["service_available"]:
        status_detail["status"] = "degraded"
        status_detail["reason"] = "Google Sheets service connection issue detected on last attempt."
        return status_detail

    # Check for staleness only if the cache is ready and service *was* available last check
    # Allow some grace period (e.g., 3 intervals)
    if cache["last_updated"] and time_since_update > CACHE_UPDATE_INTERVAL_SECONDS * 3:
         status_detail["status"] = "degraded"
         status_detail["reason"] = f"Cache potentially stale (last update > {CACHE_UPDATE_INTERVAL_SECONDS * 3} seconds ago)"
         return status_detail

    # If we reach here, status is 'ok'
    return status_detail