import os
from io import BytesIO
from tqdm import tqdm
from typing import Callable, Dict, List, Literal, NamedTuple, Optional, Tuple, Union

from datasets import load_dataset, load_dataset_builder, load_from_disk

from PIL import Image
from codetiming import Timer

import pdf2image
import PyPDF2
import pikepdf
import fitz as PyMuPDF

#https://gist.github.com/gstorer/f6a9f1dfe41e8e64dcf58d07afa9ab2a




# if os.getlogin() == "jordy": #local testing
#     DATASET = "/home/jordy/code/opensource/Beyond-Document-Page-Classification/src/tests/rvl_cdip_multi/rvl_cdip_multi.py"
#     stepwise = True


DATASET = "jordyvl/rvl_cdip_multi"
stepwise = False


testds = load_dataset("jordyvl/rvl_cdip_multi", cache_dir="/mnt/lerna/data/HFcache", split="test")


# time how long each way to pdf2image lasts


def batched_conversion(pdf_file):
    info = pdf2image.pdfinfo_from_path(pdf_file, userpw=None, poppler_path=None)
    maxPages = info["Pages"]

    logger.info(f"{pdf_file} has {str(maxPages)} pages")

    images = []

    for page in range(1, maxPages + 1, 10):
        images.extend(
            pdf2image.convert_from_path(
                pdf_file, dpi=200, first_page=page, last_page=min(page + 10 - 1, maxPages)
            )
        )
    return images


def batch_get_images(streams, wrapper):
    return {"images": [get_images(pdf_stream, wrapper=wrapper) for pdf_stream in streams]}


def batch_get_pages(streams, wrapper):
    return {"pages": [get_pages(pdf_stream, wrapper=wrapper) for pdf_stream in streams]}

def get_pages(pdf_stream, wrapper="pike"):
    if wrapper == "pdf2image":
        return pdf2image.pdfinfo_from_bytes(pdf_stream, userpw=None, poppler_path=None)["Pages"]
    pdf_file = BytesIO(pdf_stream)
    if wrapper == "pike":
        return len(pikepdf.Pdf.open(pdf_file).pages)
    if wrapper == "PyPDF2":
        return len(PyPDF2.PdfReader(pdf_file).pages)
    if wrapper == "pymupdf":
        return len(PyMuPDF.open(stream=pdf_stream, filetype="pdf"))


def pymupdf_image_extraction(data: bytes):
    images = []
    with PyMuPDF.open(stream=data, filetype="pdf") as pdf_file:
        for page_index in range(len(pdf_file)):
            page = pdf_file[page_index]
            for image_index, img in enumerate(page.get_images(), start=1):
                xref = img[0]
                base_image = pdf_file.extract_image(xref)
                image_bytes = base_image["image"]
                image_ext = base_image["ext"]
                im = Image.open(BytesIO(image_bytes))
                images.append(
                    im
                    #(f"image{page_index+1}_{image_index}.{image_ext}", image_bytes)
                )
    return images

def pypdf_image_extraction(data: bytes): # -> List[Tuple[str, bytes]]
    images = []
    try:
        reader = PyPDF2.PdfReader(BytesIO(data))
        for page in reader.pages:
            for image in page.images:
                im = Image.open(BytesIO(image.data))
                images.append(im)
                #images.append(Image.frombytes("RGB",(image.width,image.height),image.data)) #(image.name, #width,height
    except Exception as exc:
        print(f"PyPDF2 Image extraction failure: {exc}")
    return images

def pike_image_extraction(data: bytes):
    images = []
    reader = pikepdf.Pdf.open(BytesIO(data))
    for page in reader.pages:
        for raw_name, raw_image in page.images.items():
            image = pikepdf.PdfImage(raw_image).as_pil_image()
            images.append(image)
    return images

def get_images(pdf_stream, wrapper="pike"):
    if wrapper == "pike":
        return pike_image_extraction(pdf_stream)
    if wrapper == "pdf2image":
        return pdf2image.convert_from_bytes(pdf_stream)

    if wrapper == "pymupdf":
        return pymupdf_image_extraction(pdf_stream)

    if wrapper == "PyPDF2":
        return pypdf_image_extraction(pdf_stream)


#use same tool for page and images

subset = testds.select(list(range(0, 100)))

images_per_binding = {}
for binding in ["pike", "pdf2image", "PyPDF2", "pymupdf"]:
    with Timer(name=f"{binding}", text=binding + " Elapsed time: {:.4f} seconds"):
        func = lambda batch: batch_get_images(batch["file"], wrapper=binding)
        images_per_binding[binding] = subset.map(func, batched=True, keep_in_memory=False)

"""
Image.open(BytesIO(images_per_binding["pymupdf"]["images"][0][0]["bytes"])).show()
Image.open(BytesIO(images_per_binding["PyPDF2"]["images"][0][0]["bytes"])).show()
Image.open(BytesIO(images_per_binding["pike"]["images"][0][0]["bytes"])).show()
Image.open(BytesIO(images_per_binding["pdf2image"]["images"][0][0]["bytes"])).show()
"""

# whut?
# now they are PIL: Image.open(BytesIO(images_per_binding["pymupdf"]["images"][0][0]["bytes"]))

import pdb; pdb.set_trace()  # breakpoint 01d24a47 //


if stepwise:
    ds = load_dataset(DATASET, cache_dir="/mnt/lerna/data/HFcache")
    import pdb

    pdb.set_trace()  # breakpoint 1898e7e0 //

    builder = load_dataset_builder(DATASET)
    ds = builder.download_and_prepare()
    ds = builder.as_dataset(split="test")


# count pages
counter = []
for i, d in tqdm(enumerate(ds["test"])):
    counter.append(len(d["file"]))
print(sum(counter) / len(counter))

"""
pdfinfo ylhw0010.pdf
Creator:        CaptureSDK ENGine - www.scansoft.com
Producer:       Scansoft Capture Development System V12.0; modified using iText 2.1.7 by 1T3XT
CreationDate:   Sat Jan  1 01:00:00 2005 CET
ModDate:        Sat Dec 29 08:04:44 2018 CET
Tagged:         no
UserProperties: no
Suspects:       no
Form:           none
JavaScript:     no
Pages:          1
Encrypted:      no
Page size:      576 x 756 pts
Page rot:       0
File size:      24443 bytes
Optimized:      yes
PDF version:    1.3
jordy@jordy-OMEN:~/Downl
"""