import os
import re
from datetime import datetime, timedelta
from io import BytesIO
from typing import Dict, Iterator, List

import httpx
# import imageio
import numpy as np
from moviepy.editor import ImageSequenceClip
from PIL import Image
from prefect import flow, task
from prefect.tasks import task_input_hash

BASE_URL = "https://services.swpc.noaa.gov/images/animations/geospace/"


@task(
    retries=3,
    retry_delay_seconds=5,
    cache_key_fn=task_input_hash,
    cache_expiration=timedelta(minutes=2),
    log_prints=True,
)
def get_file_links(url: str, ext: str | None = None) -> Iterator[str]:
    response = httpx.get(url)
    response.raise_for_status()
    webpage_content = response.text
    if ext is None:
        print("Extension not supplied. Inferring (less efficient) png/jpg/jpeg")
        exts = ["png", "jpg", "jpeg"]
    else:
        exts = [ext.lower()]
    lines = webpage_content.split("\n")
    for line in lines:
        for ext in exts:
            if ext in line:  # need to parse the href link
                start_pos = line.find('href="') + len('href="')
                end_pos = line.find('"', start_pos)
                href = line[start_pos:end_pos]
                if href.endswith(f"latest.{ext}"):
                    print("Skipping latest")
                    continue
                if href.endswith(ext):
                    if not href.startswith("http"):
                        href = url + href
                    yield href
                break  # Exit the inner loop to avoid duplicate yields for multiple exts


def url_tail_hash(context, parameters):
    # return a constant
    return parameters["url"].split("/")[-1]


def out_path_hash(context, parameters):
    return parameters["output_path"] + f"_L{len(parameters['images'])}"


@task(
    retries=5,
    retry_delay_seconds=1,
    cache_key_fn=task_input_hash,
    cache_expiration=timedelta(minutes=5),
    result_storage_key="{parameters[url]}",
)
def get_content(url: str, params: Dict[str, any] | None = None):
    response = httpx.get(f"https://{url}", params=params)
    try:
        response.raise_for_status()
        return response.content
    except httpx.HTTPStatusError:
        return None


def preview_urls(urls):
    print("URLS (head):")
    print(urls[:5])
    print("URLS (tail):")
    print(urls[-5:])


@task(
    cache_key_fn=task_input_hash,
    cache_expiration=timedelta(hours=1),
)
def get_images(urls: List[str] | List[str], limit: int = 0):
    if limit > 0:
        print(f"Limiting to {limit} urls")
        urls = urls[-limit:]

    urls = [url.replace("https://", "").replace("http://", "") for url in urls]
    preview_urls(urls)

    futures = get_content.map(urls)
    images = [
        (urls[i], f.result()) for i, f in enumerate(futures) if f.result() is not None
    ]
    return images


def extract_timestamp_from_url(url: str) -> str:
    # Assuming the timestamp format is in the format shown in the screenshot
    match = re.search(r"\d{8}_\d{6}", url)
    return match.group(0) if match else ""


# @task(
#     cache_key_fn=out_path_hash,
#     cache_expiration=timedelta(minutes=3),
#     result_storage_key="{parameters[output_path]}",
# )
# def create_animation(
#     images: List[bytes], output_path: str, duration: float = 0.5
# ) -> None:
#     if not images:
#         raise ValueError("No images!")
#     pil_images = [Image.open(BytesIO(img_data)).convert("RGB") for img_data in images]
#     imageio.mimsave(output_path, pil_images, duration=duration)
#     return output_path


def make_even_dimensions(image):
    width, height = image.size
    if width % 2 == 1:
        width -= 1
    if height % 2 == 1:
        height -= 1
    return image.resize((width, height), Image.ANTIALIAS)


def crop_to_even(image):
    width, height = image.size
    # Adjust width and height to be even
    if width % 2 == 1:
        width -= 1
    if height % 2 == 1:
        height -= 1
    return image.crop((0, 0, width, height))


@task(
    cache_key_fn=out_path_hash,
    cache_expiration=timedelta(hours=4),
    result_storage_key="{parameters[output_path]}",
)
def create_mp4_animation(images: List[bytes], output_path: str, fps: int = 24) -> None:
    # Convert bytes to PIL images and then to numpy arrays
    frames = [
        np.array(crop_to_even(Image.open(BytesIO(img_data)).convert("RGB")))
        for img_data in images
    ]

    # Create a video clip from the image sequence
    clip = ImageSequenceClip(frames, fps=fps)

    # Write the video clip to a file
    clip.write_videofile(
        output_path,
        codec="libx264",
        ffmpeg_params=["-pix_fmt", "yuv420p"],
        preset="medium",
        bitrate="800k",
    )

    return output_path


def format_output_name(url: str, latest: bool = False):
    if latest:
        now = "latest"
    else:
        now = datetime.now().strftime("%Y%m%d-%H:%M:%S")
    return (
        url.replace("https://", "")
        .replace("http://", "")
        .replace("/", "-")
        .replace(".", "_")
        + now
    )


@task(
    name="animate",
    retries=0,
    retry_delay_seconds=1,
    log_prints=True,
    cache_key_fn=task_input_hash,
    cache_expiration=timedelta(minutes=3),
)
def animate(
    url: str = "https://services.swpc.noaa.gov/images/animations/geospace/density/",
    ext: str = "png",
    latest: bool = True,
    limit: int = 0,
):
    urls = get_file_links(url, ext)
    if len(urls) == 0:
        raise ValueError("No urls scraped")
    images = get_images(list(sorted(urls)), limit=limit)
    if len(images) == 0:
        raise ValueError("No images retrieved.")
    print(f"Retrieved {len(images)} images.")
    sorted_images = sorted(images, key=lambda x: extract_timestamp_from_url(x[0]))
    print("Head:")
    print([u for u, i in sorted_images[:5]])
    frames = [s[1] for s in sorted_images]
    # create_animation(frames, "out.gif", duration=5)
    out_name = format_output_name(url, latest=latest)
    create_mp4_animation(frames, f"out/{out_name}.mp4")


def deploy_name():
    return datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S") + "Z"


@flow(
    name="create-animations",
    retries=0,
    retry_delay_seconds=1,
    log_prints=True,
    flow_run_name=None,
    timeout_seconds=90,
)
def create_animations(
    url: str | List[str] = BASE_URL + "velocity/",
    ext: str | None = None,
    latest: bool = False,
    limit: int = 0,
):
    if isinstance(url, str):
        url = [url]

    futures = animate.map(url, ext, latest, limit)
    return futures


if __name__ == "__main__":
    # make_animation.from_source(
    #     source=TEST_REPO,
    #     entrypoint="noaa_animate.py:make_animation",
    # ).deploy(
    #     name="noaa-animate", work_pool_name="process"
    # )

    from prefect.client.schemas.schedules import CronSchedule

    sched = CronSchedule(cron="*/15 * * * *", timezone="America/Denver")

    links = [
        BASE_URL + "density/",
        BASE_URL + "velocity/",
        BASE_URL + "pressure/",
    ]
    sched_params = {
        "latest": True,
        "url": links,
        "ext": "png",
        "limit": 0,
    }
    create_animations.serve(
        "noaa-animate", limit=8, schedule=None, parameters=sched_params
    )
    # make_animation(url)