"""
pipeline/patch_anomalies.py
Patches specific Instagram handle anomalies in multiplatform_checkpoints.csv
and updates checkpoints without re-running 500 artists.
"""

import sys
import json
from pathlib import Path

PROJECT_ROOT = Path(__file__).resolve().parent.parent
if str(PROJECT_ROOT) not in sys.path:
    sys.path.insert(0, str(PROJECT_ROOT))

import numpy as np
import pandas as pd
from collectors.browser_collector import MultiPlatformSignalCollector
from playwright.sync_api import sync_playwright

CHECKPOINT_FILE = PROJECT_ROOT / "data" / "checkpoints" / "multiplatform_checkpoints.csv"
OVERRIDES_FILE = PROJECT_ROOT / "data" / "handle_overrides.json"

if not OVERRIDES_FILE.exists():
    print("Overrides file not found.")
    sys.exit(1)

with open(OVERRIDES_FILE, "r", encoding="utf-8") as f:
    overrides = json.load(f)

df_ckpt = pd.read_csv(CHECKPOINT_FILE)

# Sanitize any existing 0 follower extraction bugs to NaN
df_ckpt.loc[df_ckpt["instagram_followers"] == 0, "instagram_followers"] = np.nan

collector = MultiPlatformSignalCollector(headless=True)

print("=" * 85)
print(f"PATCHING {len(overrides)} IDENTIFIED INSTAGRAM ANOMALIES")
print("=" * 85)

with sync_playwright() as p:
    browser = p.chromium.launch(headless=True)
    page = browser.new_page(
        viewport={"width": 1920, "height": 1080},
        user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36"
    )

    for artist, official_handle in overrides.items():
        mask = df_ckpt["name"].str.strip().str.lower() == artist.lower()
        if mask.any():
            ig_url = f"https://www.instagram.com/{official_handle}/"
            res = collector.collect_artist({"name": artist, "ig_url": ig_url}, page)
            followers = res.get("instagram_followers")

            # Prevent 0-follower parse artifacts from entering checkpoint
            if followers is not None and followers <= 0:
                followers = None

            df_ckpt.loc[mask, "instagram_handle"] = official_handle
            df_ckpt.loc[mask, "instagram_followers"] = followers
            df_ckpt.loc[mask, "ig_status"] = "SUCCESS" if followers is not None else "AGE_GATED_OR_PRIVATE"

            f_str = f"{followers:,}" if followers is not None else "Unlisted/Age-Gated (NaN)"
            print(f"Updated: {artist} -> @{official_handle} ({f_str})")
        else:
            print(f"Artist {artist} not found in checkpoints.")

    browser.close()

df_ckpt.to_csv(CHECKPOINT_FILE, index=False)
print("\nCheckpoints successfully updated!")
print("=" * 85)