import glob
import json
import os
import shutil
from datetime import datetime
from pathlib import Path

# OpenCV is optional; only needed when saving frames
try:
    import cv2  # noqa: F401
except Exception:
    cv2 = None  # type: ignore
import numpy as np

from .component import Component


class VisionSaver(Component):
    def __init__(self, config=None, name=None):
        super().__init__(config=config, name=name, threaded=False)

    def config_changed(self):
        self.location = Path(self.config[self.name]["path"])
        os.makedirs(self.location, exist_ok=True)
        self.resize_resolution = self.config[self.name].get("resize_resolution", None)
        if self.resize_resolution is not None:
            self.resize_resolution = list(map(int, self.resize_resolution.split("x")))
        self.mask_zones = self.config[self.name].get("mask_zones", None)
        self.minimum_disk_free_space_gb = self.config[self.name].get("minimum_disk_free_space_gb", None)
        if self.minimum_disk_free_space_gb is not None:
            self.minimum_disk_free_space_gb = float(self.minimum_disk_free_space_gb)
        self.time_format = self.config[self.name]["time_format"]

    @Component.reconfig_on_error
    def save(self, save_time=None, suffix=None, frame=None, vision=None, resize=None, mask=None,location=None):
        self.remove_older_images_if_needed()
        if save_time is None:
            save_time = datetime.now()
        else:
            if type(save_time) is float:
                save_time = int(save_time)
            if type(save_time) is int:
                save_time = datetime.fromtimestamp(save_time)
            if type(save_time) is str:
                save_time = datetime.now()
        if type(save_time) is not datetime:
            raise ValueError(f"save_time must be float int or datetime, not {type(save_time)}")
        timestamp = save_time.strftime(self.time_format)
        save_location = self.location if location is None else Path(location)
        save_dir = save_location / save_time.strftime("%Y") / save_time.strftime("%m")

        os.makedirs(save_dir, exist_ok=True)
        out_paths = []
        if frame is not None:
            if suffix is not None:
                out_paths.append(save_dir / f"{timestamp}.{suffix}.png")
            else:
                out_paths.append(save_dir / f"{timestamp}.png")
            self.log.info(f"saving {out_paths[-1]}")
            frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
            # resize
            if resize is None or resize is True:
                resize = self.resize_resolution
            elif resize is False:
                resize = None
            if resize is not None:
                frame = cv2.resize(frame, resize, interpolation=cv2.INTER_LINEAR)
            # mask
            if mask is None or mask is True:
                mask = self.mask_zones
            elif mask is False:
                mask = None
            if mask is not None:
                height, width, channels = frame.shape
                out = np.full([height, width, channels], [0] * channels)
                for zone_name in mask:
                    zone = self.bench.zones[zone_name]["box"]
                    out[zone[1]:zone[3], zone[0]:zone[2]] = frame[zone[1]:zone[3], zone[0]:zone[2]]
            else:
                out = frame
            # save frame
            cv2.imwrite(str(out_paths[-1]), out)
        if vision is not None:
            if suffix is not None:
                out_paths.append(save_dir / f"{timestamp}.{suffix}.json")
            else:
                out_paths.append(save_dir / f"{timestamp}.json")
            self.log.info(f"saving {out_paths[-1]}")
            # save vision
            with open(out_paths[-1], "w") as f:
                json.dump(vision, f)
        return list(map(str, out_paths))


    def remove_older_images_if_needed(self):
        if self.minimum_disk_free_space_gb is None:
            return
        minimum_disk_free_bytes = self.minimum_disk_free_space_gb * 10**9
        archive = os.path.abspath(self.location)
        free = shutil.disk_usage(archive)[-1]
        if free < minimum_disk_free_bytes:
            self.log.warning(f"LOW DISK SPACE {(free / 10 ** 9):3.2f}GB/{(minimum_disk_free_bytes / 10 ** 9):3.2f}GB), removing older vision saves")
            sections = sorted([os.path.dirname(section) for section in glob.glob(f"{archive}/*/")])
            years = sorted({os.path.basename(os.path.dirname(year)) for section in sections for year in glob.glob(f"{section}/*/")})
            while free < minimum_disk_free_bytes and len(years) > 0:
                year = years.pop(0)
                months = sorted({os.path.basename(os.path.dirname(month)) for section in sections for month in glob.glob(f"{section}/{year}/*/")})
                while free < minimum_disk_free_bytes and len(months) > 0:
                    month = months.pop(0)
                    for section in sections:
                        self.log.info(f"REMOVING '{section}/{year}/{month}'")
                        shutil.rmtree(f"{section}/{year}/{month}", ignore_errors=True)
                    free = shutil.disk_usage(archive)[-1]
                if len(months) == 0:
                    for section in sections:
                        self.log.info(f"REMOVING '{section}/{year}'")
                        shutil.rmtree(f"{section}/{year}", ignore_errors=True)
                    free = shutil.disk_usage(archive)[-1]