import asyncio
import os
import random
from collections import deque
import ssl
from urllib.parse import urlparse

import aiohttp
import polars as pl
import aiofiles
from aiohttp import TCPConnector

# from limiter import Limiter
import certifi

from tenacity import retry, wait_exponential, wait_random_exponential
from tqdm.asyncio import tqdm_asyncio

# limit_downloads = Limiter(rate=20, capacity=1000, consume=1)

BATCH_SIZE = 100
BASE_DOWNLOAD_PATH = "/mnt/jupiter/openalex_extraction/openalex_2"
TIME_OUT = 60
USER_AGENTS = [
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
    "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Firefox/89.0",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:89.0) Gecko/20100101 Firefox/89.0",
]

HEADER = lambda x: {
    "User-Agent": random.choice(USER_AGENTS),
    "Referer": x,
}


async def get_request(session, queries: list, uuid: str) -> tuple[str, bytes | None]:
    # Create SSL context
    ssl_context = ssl.create_default_context()
    ssl_context.check_hostname = True
    ssl_context.verify_mode = ssl.CERT_REQUIRED

    for query in queries:
        try:
            async with session.get(url=query, headers=HEADER(query)) as response:
                content = await response.read()
                uuid = urlparse(uuid).path.replace(r"/", "")
                filename = os.path.join(BASE_DOWNLOAD_PATH, f"{uuid}.pdf")
                file_number = 1
                while os.path.exists(filename):
                    filename = os.path.join(
                        BASE_DOWNLOAD_PATH, f"{uuid}_{file_number}.pdf"
                    )
                    file_number += 1
                # async with aiofiles.open(filename, "wb") as f:
                #     await f.write(content)
                return filename, content
        except Exception as e:
            print(f"An error occurred with query {query}: {e}")
            continue  # Try the next query in the list

    # If all queries fail, handle the last one properly
    print(f"All queries failed: {queries}")
    return "error", None


async def get_batched(session, batch, seen: set = None):
    if not seen:
        seen = set()
    tasks = []
    for q in batch:
        if q:
            task = asyncio.ensure_future(get_request(session, queries=q[0], uuid=q[1]))
            tasks.append(task)
    return await tqdm_asyncio.gather(
        *tasks, desc="Collecting batch", leave=True, position=0
    )


async def main(file_loc):
    # or df = datasets.load_dataset(url, split="train").to_polars().lazy()
    df = pl.scan_parquet(file_loc)

    total_rows = df.collect().height

    # Calculate the number of rows to slice from the start index to the end
    start_index = 0
    num_rows = total_rows - start_index

    df = df.slice(0, num_rows)
    df = (
        df.with_columns(pl.col("pdf_url").str.split(","))
        .select(["identifier", "pdf_url"])
        .collect(streaming=True)
        .iter_rows(named=True)
    )

    batches = deque()
    output = []

    # Create SSL context
    ssl_context = ssl.create_default_context()
    ssl_context.check_hostname = True
    ssl_context.verify_mode = ssl.CERT_REQUIRED

    timeout = aiohttp.ClientTimeout(total=TIME_OUT)

    for row in df:
        batches.append((row["pdf_url"], row["identifier"]))
        if len(batches) == BATCH_SIZE:
            async with aiohttp.ClientSession(
                connector=TCPConnector(ssl=ssl_context, limit=50),
                timeout=timeout,
            ) as session:
                responses = await get_batched(session, batches)
                for filename, content in responses:
                    if content:
                        with open(filename, "wb") as f:
                            f.write(content)
                            output.append(filename)
                batches.clear()

    if batches:
        async with aiohttp.ClientSession(
            connector=TCPConnector(ssl=ssl_context, limit=50), timeout=timeout
        ) as session:
            responses = await get_batched(session, batches)
            print("Saving Batch")
            for filename, content in responses:
                if content:
                    with open(filename, "wb") as f:
                        f.write(content)
                        output.append(filename)
                print("Batch Saved")

    return output


if __name__ == "__main__":
    FILE_LOCATION = "/mnt/jupiter/openalex_extraction/openalex_extraction_2.parquet"
    results = asyncio.run(main(FILE_LOCATION))
    print(results)