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"""Convert paras to sents.""" | |
# pylint: disable=unused-import, too-many-branches, ungrouped-imports | |
from typing import Callable, List, Optional, Tuple, Union | |
from itertools import zip_longest | |
import numpy as np | |
import pandas as pd | |
from logzero import logger | |
from radiobee.align_sents import align_sents | |
from radiobee.seg_text import seg_text | |
from radiobee.detect import detect | |
try: | |
from radiobee.shuffle_sents import shuffle_sents | |
except Exception as exc: | |
logger.error("shuffle_sents not available: %s, using align_sents", exc) | |
shuffle_sents = lambda x1, x2, lang1="", lang2="": align_sents(x1, x2) # noqa | |
def paras2sents( | |
paras_: Union[pd.DataFrame, List[Tuple[str, str, Union[str, float]]], np.ndarray], | |
align_func: Optional[Union[Callable, str]] = None, | |
lang1: Optional[str] = None, | |
lang2: Optional[str] = None, | |
) -> List[Tuple[str, str, Union[str, float]]]: | |
"""Convert paras to sents using align_func. | |
Args: | |
paras_: list of 3-tuples or numpy or pd.DataFrame | |
lang1: fisrt lang code | |
lang2: second lang code | |
align_func: func used in the sent level | |
if set to None, default to align_sents | |
Returns: | |
list of sents (possible with likelihood for shuffle_sents) | |
""" | |
# wrap everything in pd.DataFrame | |
# necessary to make pyright happy | |
paras = pd.DataFrame(paras_).fillna("") | |
# take the first three columns at maximum | |
paras = paras.iloc[:, :3] | |
if len(paras.columns) < 2: | |
logger.error( | |
"Need at least two columns, got %s", | |
len(paras.columns) | |
) | |
raise Exception("wrong data") | |
# append the third col (all "") if there are only two cols | |
if len(paras.columns) < 3: | |
paras.insert(2, "likelihood", [""] * len(paras)) | |
if lang1 is None: | |
lang1 = detect(" ".join(paras.iloc[:, 0])) | |
if lang2 is None: | |
lang2 = detect(" ".join(paras.iloc[:, 1])) | |
left, right = [], [] | |
row0, row1 = [], [] | |
for elm0, elm1, elm2 in paras.values: | |
sents0 = seg_text(elm0, lang1) | |
sents1 = seg_text(elm1, lang2) | |
if isinstance(elm2, float) and elm2 > 0: | |
if row0 or row1: | |
left.append(row0) | |
right.append(row1) | |
row0, row1 = [], [] # collect and prepare | |
if sents0: | |
left.append(sents0) | |
if sents1: | |
right.append(sents1) | |
else: | |
if sents0: | |
row0.extend(sents0) | |
if sents1: | |
row1.extend(sents1) | |
# collect possible last batch | |
if row0 or row1: | |
left.append(row0) | |
right.append(row1) | |
# res = [*zip(left, right)] | |
# align each batch using align_func | |
# ready align_func | |
if align_func is None: | |
align_func = align_sents | |
if isinstance(align_func, str) and align_func.startswith("shuffle") or not isinstance(align_func, str) and align_func.__name__ in ["shuffle_sents"]: | |
align_func = lambda row0, row1: shuffle_sents(row0, row1, lang1=lang1, lang2=lang2) # noqa | |
else: | |
align_func = align_sents | |
res = [] | |
for row0, row1 in zip(left, right): | |
try: | |
_ = align_func(row0, row1) | |
except Exception as exc: | |
logger.error("errors: %s, resorting to zip_longest", exc) | |
_ = [*zip_longest(row0, row1, fillvalue="")] | |
# res.append(_) | |
res.extend(_) | |
return res | |