"""Script used to filter malformed examples from the original SCAT corpus.

To run, copy original SCAT files from https://github.com/neulab/contextual-mt/tree/master/data/scat under the same
path of the script. Filtered files will be created in the filtered_scat folder.

Uncomment lines to save dropped malformed sentences into separate files for inspection.
"""

import re
from pathlib import Path

def drop_malformed_tags(
    split: str,
    save_folder: str = "filtered_scat",
):
    find_tag_pattern = r"(<hon>|<\/?p>|<hoff>)"
    nested_uninformative_pattern = r"(<hon>\W*(<p>[^<]*</p>)\W*<hoff>)"

    with open(f"highlighted.{split}.context.en") as f:
        orig_ctx_en = f.readlines()
    with open(f"highlighted.{split}.context.fr") as f:
        orig_ctx_fr = f.readlines()
    with open(f"highlighted.{split}.en") as f:
        orig_tgt_en = f.readlines()
    with open(f"highlighted.{split}.fr") as f:
        orig_tgt_fr = f.readlines()

    print("# of context examples: EN -", len(orig_ctx_en), "FR -", len(orig_ctx_fr))
    print("# of target examples: EN -", len(orig_tgt_en), "FR -", len(orig_tgt_fr))

    ctx_en = []
    ctx_fr = []
    tgt_en = []
    tgt_fr = []

    #drop_ctx_en = []
    #drop_ctx_fr = []
    #drop_tgt_en = []
    #drop_tgt_fr = []

    for ex_idx in range(len(orig_ctx_en)):
        drop = False
        txt_list = [orig_ctx_en[ex_idx], orig_tgt_en[ex_idx], orig_ctx_fr[ex_idx], orig_tgt_fr[ex_idx]]

        # Nested tags like <hon><p>it</p><hoff> are uninformative and simply mean the supporting context wasn't found
        # in the source. We replace them with the inner tag <p>it</p> so that the tag is dropped for the next step.
        for i in range(len(txt_list)):
            for uninformative_match, nested_tag in re.findall(nested_uninformative_pattern, txt_list[i]):
                txt_list[i] = txt_list[i].replace(uninformative_match, nested_tag)
        txt = " ".join(txt_list)
        
        matches = [(m.group(0),) + m.span() for m in re.finditer(find_tag_pattern, txt)]

        if len(matches) > 0 and len(matches) % 2 == 0:
            for match_idx in range(0, len(matches), 2):

                # The last condition is added to drop malformed examples in which all spans matching
                # the target pronoun have been tagged with <p>...</p>
                # e.g. "Well, you're certainly not talking about the algor<p>it</p>hm project, because <p>it</p> would 
                # be unthinkable for you to derail <p>it</p> at this point."
                if not (
                    (matches[match_idx][0] == "<hon>" and matches[match_idx+1][0] == "<hoff>") or
                    (matches[match_idx][0] == "<p>" and matches[match_idx+1][0] == "</p>") or
                    (matches[match_idx][2] < matches[match_idx+1][1]) or
                    (len([m == "<p>" for m in matches]) == 2)
                ):
                    drop = True
                    break
        else:
            drop = True
        if not drop:
            ctx_en.append(txt_list[0])
            ctx_fr.append(txt_list[2])
            tgt_en.append(txt_list[1])
            tgt_fr.append(txt_list[3])
        #else:
        #    drop_ctx_en.append(txt_list[0])
        #    drop_ctx_fr.append(txt_list[2])
        #    drop_tgt_en.append(txt_list[1])
        #    drop_tgt_fr.append(txt_list[3])
        #    print("Dropped example:", txt)

    print("# of dropped examples:", len(orig_ctx_en) - len(ctx_en))
    print("# of filtered examples:", len(ctx_en))

    save_folder = Path(save_folder)
    save_folder.mkdir(parents=True, exist_ok=True)
    with open(save_folder / f"filtered.{split}.context.en", "w") as f:
        f.writelines(ctx_en)
    with open(save_folder / f"filtered.{split}.context.fr", "w") as f:
        f.writelines(ctx_fr)
    with open(save_folder / f"filtered.{split}.en", "w") as f:
        f.writelines(tgt_en)
    with open(save_folder / f"filtered.{split}.fr", "w") as f:
        f.writelines(tgt_fr)
    
    #with open(save_folder / f"dropped.{split}.context.en", "w") as f:
    #    f.writelines(drop_ctx_en)
    #with open(save_folder / f"dropped.{split}.context.fr", "w") as f:
    #    f.writelines(drop_ctx_fr)
    #with open(save_folder / f"dropped.{split}.en", "w") as f:
    #    f.writelines(drop_tgt_en)
    #with open(save_folder / f"dropped.{split}.fr", "w") as f:
    #    f.writelines(drop_tgt_fr)

    print("Files written to the filtered_scat folder")

if __name__ == "__main__":
    drop_malformed_tags("train")
    drop_malformed_tags("valid")
    drop_malformed_tags("test")