#!/usr/bin/python

import os,string,glob,sys,getopt,re

script = sys.argv[0]
assert os.path.exists(script)

def uptodate(source=None,target=None):
    if not os.path.exists(target): return 0
    return os.path.getmtime(source)<os.path.getmtime(target)

def keywords(**keywords): return keywords

extraction_params = keywords(
    element="ocr_cinfo",
    max_lines=4000,
    min_len=2,
    max_len=10,
    regex=r'^([A-Za-z][a-z-]*[,.;?!-]?|[0-9]+)$',
    dict="/usr/share/dict/words")

nnet_file = "/usr/local/share/ocropus/models/neural-net-file.nn"

def base(s): 
    return re.sub(r'\.\w+$','',s)

def run(command,*args,**keywords):
    print "#",command,string.join(args)
    env = os.environ.copy()
    for k in keywords: env[k] = str(keywords[k])
    os.spawnvpe(os.P_WAIT,command,[command]+list(args),env)

for vol in sys.argv[1:]:

    # perform page-level binarization

    for page in glob.glob(vol+"/Image_????.JPEG"):
        if uptodate(script,base(page)+".png") and uptodate(page,base(page)+".png"): 
            continue
        run("ocroscript","sauvola",
            page,
            base(page)+".png",
            sauvola_k=0.2)

    # extract line elements from the pages

    sample = glob.glob(vol+"/????/????.png")
    if sample==[] or not uptodate(script,sample[0]):
        run("hocr-extract-g1000",
            vol+"/hOCR.html",
            vol+"/Image_????.png",
            vol+"/%04d/%04d",
            **extraction_params)

    # align each line with its corresponding transcription

    lines = glob.glob(vol+"/????/????.png")
    print len(lines),"lines to be processed"
    for line in lines:
        if uptodate(source=base(line)+".png",target=base(line)+".costs"): 
            continue
        run("ocroscript","line-clean",
            line,
            base(line)+".clean.png")
        run("ocroscript","align-transcription","--cut",
            base(line)+".clean.png",
            base(line)+".txt",
            base(line)+".cseg.png",
            base(line)+".rseg.png",
            base(line)+".costs",
            bpnet=nnet_file)