/
concordance_app.py
executable file
·709 lines (630 loc) · 23.6 KB
/
concordance_app.py
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# Natural Language Toolkit: Concordance Application
#
# Copyright (C) 2001-2021 NLTK Project
# Author: Sumukh Ghodke <sghodke@csse.unimelb.edu.au>
# URL: <https://www.nltk.org/>
# For license information, see LICENSE.TXT
import queue as q
import re
import threading
from tkinter import (
END,
LEFT,
SUNKEN,
Button,
Entry,
Frame,
IntVar,
Label,
Menu,
OptionMenu,
Scrollbar,
StringVar,
Text,
Tk,
)
from tkinter.font import Font
from nltk.corpus import (
alpino,
brown,
cess_cat,
cess_esp,
floresta,
indian,
mac_morpho,
nps_chat,
sinica_treebank,
treebank,
)
from nltk.draw.util import ShowText
from nltk.util import in_idle
WORD_OR_TAG = "[^/ ]+"
BOUNDARY = r"\b"
CORPUS_LOADED_EVENT = "<<CL_EVENT>>"
SEARCH_TERMINATED_EVENT = "<<ST_EVENT>>"
SEARCH_ERROR_EVENT = "<<SE_EVENT>>"
ERROR_LOADING_CORPUS_EVENT = "<<ELC_EVENT>>"
POLL_INTERVAL = 50
# NB All corpora must be specified in a lambda expression so as not to be
# loaded when the module is imported.
_DEFAULT = "English: Brown Corpus (Humor, simplified)"
_CORPORA = {
"Catalan: CESS-CAT Corpus (simplified)": lambda: cess_cat.tagged_sents(
tagset="universal"
),
"English: Brown Corpus": lambda: brown.tagged_sents(),
"English: Brown Corpus (simplified)": lambda: brown.tagged_sents(
tagset="universal"
),
"English: Brown Corpus (Press, simplified)": lambda: brown.tagged_sents(
categories=["news", "editorial", "reviews"], tagset="universal"
),
"English: Brown Corpus (Religion, simplified)": lambda: brown.tagged_sents(
categories="religion", tagset="universal"
),
"English: Brown Corpus (Learned, simplified)": lambda: brown.tagged_sents(
categories="learned", tagset="universal"
),
"English: Brown Corpus (Science Fiction, simplified)": lambda: brown.tagged_sents(
categories="science_fiction", tagset="universal"
),
"English: Brown Corpus (Romance, simplified)": lambda: brown.tagged_sents(
categories="romance", tagset="universal"
),
"English: Brown Corpus (Humor, simplified)": lambda: brown.tagged_sents(
categories="humor", tagset="universal"
),
"English: NPS Chat Corpus": lambda: nps_chat.tagged_posts(),
"English: NPS Chat Corpus (simplified)": lambda: nps_chat.tagged_posts(
tagset="universal"
),
"English: Wall Street Journal Corpus": lambda: treebank.tagged_sents(),
"English: Wall Street Journal Corpus (simplified)": lambda: treebank.tagged_sents(
tagset="universal"
),
"Chinese: Sinica Corpus": lambda: sinica_treebank.tagged_sents(),
"Chinese: Sinica Corpus (simplified)": lambda: sinica_treebank.tagged_sents(
tagset="universal"
),
"Dutch: Alpino Corpus": lambda: alpino.tagged_sents(),
"Dutch: Alpino Corpus (simplified)": lambda: alpino.tagged_sents(
tagset="universal"
),
"Hindi: Indian Languages Corpus": lambda: indian.tagged_sents(files="hindi.pos"),
"Hindi: Indian Languages Corpus (simplified)": lambda: indian.tagged_sents(
files="hindi.pos", tagset="universal"
),
"Portuguese: Floresta Corpus (Portugal)": lambda: floresta.tagged_sents(),
"Portuguese: Floresta Corpus (Portugal, simplified)": lambda: floresta.tagged_sents(
tagset="universal"
),
"Portuguese: MAC-MORPHO Corpus (Brazil)": lambda: mac_morpho.tagged_sents(),
"Portuguese: MAC-MORPHO Corpus (Brazil, simplified)": lambda: mac_morpho.tagged_sents(
tagset="universal"
),
"Spanish: CESS-ESP Corpus (simplified)": lambda: cess_esp.tagged_sents(
tagset="universal"
),
}
class ConcordanceSearchView:
_BACKGROUND_COLOUR = "#FFF" # white
# Colour of highlighted results
_HIGHLIGHT_WORD_COLOUR = "#F00" # red
_HIGHLIGHT_WORD_TAG = "HL_WRD_TAG"
_HIGHLIGHT_LABEL_COLOUR = "#C0C0C0" # dark grey
_HIGHLIGHT_LABEL_TAG = "HL_LBL_TAG"
# Percentage of text left of the scrollbar position
_FRACTION_LEFT_TEXT = 0.30
def __init__(self):
self.queue = q.Queue()
self.model = ConcordanceSearchModel(self.queue)
self.top = Tk()
self._init_top(self.top)
self._init_menubar()
self._init_widgets(self.top)
self.load_corpus(self.model.DEFAULT_CORPUS)
self.after = self.top.after(POLL_INTERVAL, self._poll)
def _init_top(self, top):
top.geometry("950x680+50+50")
top.title("NLTK Concordance Search")
top.bind("<Control-q>", self.destroy)
top.protocol("WM_DELETE_WINDOW", self.destroy)
top.minsize(950, 680)
def _init_widgets(self, parent):
self.main_frame = Frame(
parent, dict(background=self._BACKGROUND_COLOUR, padx=1, pady=1, border=1)
)
self._init_corpus_select(self.main_frame)
self._init_query_box(self.main_frame)
self._init_results_box(self.main_frame)
self._init_paging(self.main_frame)
self._init_status(self.main_frame)
self.main_frame.pack(fill="both", expand=True)
def _init_menubar(self):
self._result_size = IntVar(self.top)
self._cntx_bf_len = IntVar(self.top)
self._cntx_af_len = IntVar(self.top)
menubar = Menu(self.top)
filemenu = Menu(menubar, tearoff=0, borderwidth=0)
filemenu.add_command(
label="Exit", underline=1, command=self.destroy, accelerator="Ctrl-q"
)
menubar.add_cascade(label="File", underline=0, menu=filemenu)
editmenu = Menu(menubar, tearoff=0)
rescntmenu = Menu(editmenu, tearoff=0)
rescntmenu.add_radiobutton(
label="20",
variable=self._result_size,
underline=0,
value=20,
command=self.set_result_size,
)
rescntmenu.add_radiobutton(
label="50",
variable=self._result_size,
underline=0,
value=50,
command=self.set_result_size,
)
rescntmenu.add_radiobutton(
label="100",
variable=self._result_size,
underline=0,
value=100,
command=self.set_result_size,
)
rescntmenu.invoke(1)
editmenu.add_cascade(label="Result Count", underline=0, menu=rescntmenu)
cntxmenu = Menu(editmenu, tearoff=0)
cntxbfmenu = Menu(cntxmenu, tearoff=0)
cntxbfmenu.add_radiobutton(
label="60 characters",
variable=self._cntx_bf_len,
underline=0,
value=60,
command=self.set_cntx_bf_len,
)
cntxbfmenu.add_radiobutton(
label="80 characters",
variable=self._cntx_bf_len,
underline=0,
value=80,
command=self.set_cntx_bf_len,
)
cntxbfmenu.add_radiobutton(
label="100 characters",
variable=self._cntx_bf_len,
underline=0,
value=100,
command=self.set_cntx_bf_len,
)
cntxbfmenu.invoke(1)
cntxmenu.add_cascade(label="Before", underline=0, menu=cntxbfmenu)
cntxafmenu = Menu(cntxmenu, tearoff=0)
cntxafmenu.add_radiobutton(
label="70 characters",
variable=self._cntx_af_len,
underline=0,
value=70,
command=self.set_cntx_af_len,
)
cntxafmenu.add_radiobutton(
label="90 characters",
variable=self._cntx_af_len,
underline=0,
value=90,
command=self.set_cntx_af_len,
)
cntxafmenu.add_radiobutton(
label="110 characters",
variable=self._cntx_af_len,
underline=0,
value=110,
command=self.set_cntx_af_len,
)
cntxafmenu.invoke(1)
cntxmenu.add_cascade(label="After", underline=0, menu=cntxafmenu)
editmenu.add_cascade(label="Context", underline=0, menu=cntxmenu)
menubar.add_cascade(label="Edit", underline=0, menu=editmenu)
self.top.config(menu=menubar)
def set_result_size(self, **kwargs):
self.model.result_count = self._result_size.get()
def set_cntx_af_len(self, **kwargs):
self._char_after = self._cntx_af_len.get()
def set_cntx_bf_len(self, **kwargs):
self._char_before = self._cntx_bf_len.get()
def _init_corpus_select(self, parent):
innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
self.var = StringVar(innerframe)
self.var.set(self.model.DEFAULT_CORPUS)
Label(
innerframe,
justify=LEFT,
text=" Corpus: ",
background=self._BACKGROUND_COLOUR,
padx=2,
pady=1,
border=0,
).pack(side="left")
other_corpora = list(self.model.CORPORA.keys()).remove(
self.model.DEFAULT_CORPUS
)
om = OptionMenu(
innerframe,
self.var,
self.model.DEFAULT_CORPUS,
command=self.corpus_selected,
*self.model.non_default_corpora()
)
om["borderwidth"] = 0
om["highlightthickness"] = 1
om.pack(side="left")
innerframe.pack(side="top", fill="x", anchor="n")
def _init_status(self, parent):
self.status = Label(
parent,
justify=LEFT,
relief=SUNKEN,
background=self._BACKGROUND_COLOUR,
border=0,
padx=1,
pady=0,
)
self.status.pack(side="top", anchor="sw")
def _init_query_box(self, parent):
innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
another = Frame(innerframe, background=self._BACKGROUND_COLOUR)
self.query_box = Entry(another, width=60)
self.query_box.pack(side="left", fill="x", pady=25, anchor="center")
self.search_button = Button(
another,
text="Search",
command=self.search,
borderwidth=1,
highlightthickness=1,
)
self.search_button.pack(side="left", fill="x", pady=25, anchor="center")
self.query_box.bind("<KeyPress-Return>", self.search_enter_keypress_handler)
another.pack()
innerframe.pack(side="top", fill="x", anchor="n")
def search_enter_keypress_handler(self, *event):
self.search()
def _init_results_box(self, parent):
innerframe = Frame(parent)
i1 = Frame(innerframe)
i2 = Frame(innerframe)
vscrollbar = Scrollbar(i1, borderwidth=1)
hscrollbar = Scrollbar(i2, borderwidth=1, orient="horiz")
self.results_box = Text(
i1,
font=Font(family="courier", size="16"),
state="disabled",
borderwidth=1,
yscrollcommand=vscrollbar.set,
xscrollcommand=hscrollbar.set,
wrap="none",
width="40",
height="20",
exportselection=1,
)
self.results_box.pack(side="left", fill="both", expand=True)
self.results_box.tag_config(
self._HIGHLIGHT_WORD_TAG, foreground=self._HIGHLIGHT_WORD_COLOUR
)
self.results_box.tag_config(
self._HIGHLIGHT_LABEL_TAG, foreground=self._HIGHLIGHT_LABEL_COLOUR
)
vscrollbar.pack(side="left", fill="y", anchor="e")
vscrollbar.config(command=self.results_box.yview)
hscrollbar.pack(side="left", fill="x", expand=True, anchor="w")
hscrollbar.config(command=self.results_box.xview)
# there is no other way of avoiding the overlap of scrollbars while using pack layout manager!!!
Label(i2, text=" ", background=self._BACKGROUND_COLOUR).pack(
side="left", anchor="e"
)
i1.pack(side="top", fill="both", expand=True, anchor="n")
i2.pack(side="bottom", fill="x", anchor="s")
innerframe.pack(side="top", fill="both", expand=True)
def _init_paging(self, parent):
innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
self.prev = prev = Button(
innerframe,
text="Previous",
command=self.previous,
width="10",
borderwidth=1,
highlightthickness=1,
state="disabled",
)
prev.pack(side="left", anchor="center")
self.next = next = Button(
innerframe,
text="Next",
command=self.__next__,
width="10",
borderwidth=1,
highlightthickness=1,
state="disabled",
)
next.pack(side="right", anchor="center")
innerframe.pack(side="top", fill="y")
self.current_page = 0
def previous(self):
self.clear_results_box()
self.freeze_editable()
self.model.prev(self.current_page - 1)
def __next__(self):
self.clear_results_box()
self.freeze_editable()
self.model.next(self.current_page + 1)
def about(self, *e):
ABOUT = "NLTK Concordance Search Demo\n"
TITLE = "About: NLTK Concordance Search Demo"
try:
from tkinter.messagebox import Message
Message(message=ABOUT, title=TITLE, parent=self.main_frame).show()
except:
ShowText(self.top, TITLE, ABOUT)
def _bind_event_handlers(self):
self.top.bind(CORPUS_LOADED_EVENT, self.handle_corpus_loaded)
self.top.bind(SEARCH_TERMINATED_EVENT, self.handle_search_terminated)
self.top.bind(SEARCH_ERROR_EVENT, self.handle_search_error)
self.top.bind(ERROR_LOADING_CORPUS_EVENT, self.handle_error_loading_corpus)
def _poll(self):
try:
event = self.queue.get(block=False)
except q.Empty:
pass
else:
if event == CORPUS_LOADED_EVENT:
self.handle_corpus_loaded(event)
elif event == SEARCH_TERMINATED_EVENT:
self.handle_search_terminated(event)
elif event == SEARCH_ERROR_EVENT:
self.handle_search_error(event)
elif event == ERROR_LOADING_CORPUS_EVENT:
self.handle_error_loading_corpus(event)
self.after = self.top.after(POLL_INTERVAL, self._poll)
def handle_error_loading_corpus(self, event):
self.status["text"] = "Error in loading " + self.var.get()
self.unfreeze_editable()
self.clear_all()
self.freeze_editable()
def handle_corpus_loaded(self, event):
self.status["text"] = self.var.get() + " is loaded"
self.unfreeze_editable()
self.clear_all()
self.query_box.focus_set()
def handle_search_terminated(self, event):
# todo: refactor the model such that it is less state sensitive
results = self.model.get_results()
self.write_results(results)
self.status["text"] = ""
if len(results) == 0:
self.status["text"] = "No results found for " + self.model.query
else:
self.current_page = self.model.last_requested_page
self.unfreeze_editable()
self.results_box.xview_moveto(self._FRACTION_LEFT_TEXT)
def handle_search_error(self, event):
self.status["text"] = "Error in query " + self.model.query
self.unfreeze_editable()
def corpus_selected(self, *args):
new_selection = self.var.get()
self.load_corpus(new_selection)
def load_corpus(self, selection):
if self.model.selected_corpus != selection:
self.status["text"] = "Loading " + selection + "..."
self.freeze_editable()
self.model.load_corpus(selection)
def search(self):
self.current_page = 0
self.clear_results_box()
self.model.reset_results()
query = self.query_box.get()
if len(query.strip()) == 0:
return
self.status["text"] = "Searching for " + query
self.freeze_editable()
self.model.search(query, self.current_page + 1)
def write_results(self, results):
self.results_box["state"] = "normal"
row = 1
for each in results:
sent, pos1, pos2 = each[0].strip(), each[1], each[2]
if len(sent) != 0:
if pos1 < self._char_before:
sent, pos1, pos2 = self.pad(sent, pos1, pos2)
sentence = sent[pos1 - self._char_before : pos1 + self._char_after]
if not row == len(results):
sentence += "\n"
self.results_box.insert(str(row) + ".0", sentence)
word_markers, label_markers = self.words_and_labels(sent, pos1, pos2)
for marker in word_markers:
self.results_box.tag_add(
self._HIGHLIGHT_WORD_TAG,
str(row) + "." + str(marker[0]),
str(row) + "." + str(marker[1]),
)
for marker in label_markers:
self.results_box.tag_add(
self._HIGHLIGHT_LABEL_TAG,
str(row) + "." + str(marker[0]),
str(row) + "." + str(marker[1]),
)
row += 1
self.results_box["state"] = "disabled"
def words_and_labels(self, sentence, pos1, pos2):
search_exp = sentence[pos1:pos2]
words, labels = [], []
labeled_words = search_exp.split(" ")
index = 0
for each in labeled_words:
if each == "":
index += 1
else:
word, label = each.split("/")
words.append(
(self._char_before + index, self._char_before + index + len(word))
)
index += len(word) + 1
labels.append(
(self._char_before + index, self._char_before + index + len(label))
)
index += len(label)
index += 1
return words, labels
def pad(self, sent, hstart, hend):
if hstart >= self._char_before:
return sent, hstart, hend
d = self._char_before - hstart
sent = "".join([" "] * d) + sent
return sent, hstart + d, hend + d
def destroy(self, *e):
if self.top is None:
return
self.top.after_cancel(self.after)
self.top.destroy()
self.top = None
def clear_all(self):
self.query_box.delete(0, END)
self.model.reset_query()
self.clear_results_box()
def clear_results_box(self):
self.results_box["state"] = "normal"
self.results_box.delete("1.0", END)
self.results_box["state"] = "disabled"
def freeze_editable(self):
self.query_box["state"] = "disabled"
self.search_button["state"] = "disabled"
self.prev["state"] = "disabled"
self.next["state"] = "disabled"
def unfreeze_editable(self):
self.query_box["state"] = "normal"
self.search_button["state"] = "normal"
self.set_paging_button_states()
def set_paging_button_states(self):
if self.current_page == 0 or self.current_page == 1:
self.prev["state"] = "disabled"
else:
self.prev["state"] = "normal"
if self.model.has_more_pages(self.current_page):
self.next["state"] = "normal"
else:
self.next["state"] = "disabled"
def fire_event(self, event):
# Firing an event so that rendering of widgets happen in the mainloop thread
self.top.event_generate(event, when="tail")
def mainloop(self, *args, **kwargs):
if in_idle():
return
self.top.mainloop(*args, **kwargs)
class ConcordanceSearchModel:
def __init__(self, queue):
self.queue = queue
self.CORPORA = _CORPORA
self.DEFAULT_CORPUS = _DEFAULT
self.selected_corpus = None
self.reset_query()
self.reset_results()
self.result_count = None
self.last_sent_searched = 0
def non_default_corpora(self):
copy = []
copy.extend(list(self.CORPORA.keys()))
copy.remove(self.DEFAULT_CORPUS)
copy.sort()
return copy
def load_corpus(self, name):
self.selected_corpus = name
self.tagged_sents = []
runner_thread = self.LoadCorpus(name, self)
runner_thread.start()
def search(self, query, page):
self.query = query
self.last_requested_page = page
self.SearchCorpus(self, page, self.result_count).start()
def next(self, page):
self.last_requested_page = page
if len(self.results) < page:
self.search(self.query, page)
else:
self.queue.put(SEARCH_TERMINATED_EVENT)
def prev(self, page):
self.last_requested_page = page
self.queue.put(SEARCH_TERMINATED_EVENT)
def reset_results(self):
self.last_sent_searched = 0
self.results = []
self.last_page = None
def reset_query(self):
self.query = None
def set_results(self, page, resultset):
self.results.insert(page - 1, resultset)
def get_results(self):
return self.results[self.last_requested_page - 1]
def has_more_pages(self, page):
if self.results == [] or self.results[0] == []:
return False
if self.last_page is None:
return True
return page < self.last_page
class LoadCorpus(threading.Thread):
def __init__(self, name, model):
threading.Thread.__init__(self)
self.model, self.name = model, name
def run(self):
try:
ts = self.model.CORPORA[self.name]()
self.model.tagged_sents = [
" ".join(w + "/" + t for (w, t) in sent) for sent in ts
]
self.model.queue.put(CORPUS_LOADED_EVENT)
except Exception as e:
print(e)
self.model.queue.put(ERROR_LOADING_CORPUS_EVENT)
class SearchCorpus(threading.Thread):
def __init__(self, model, page, count):
self.model, self.count, self.page = model, count, page
threading.Thread.__init__(self)
def run(self):
q = self.processed_query()
sent_pos, i, sent_count = [], 0, 0
for sent in self.model.tagged_sents[self.model.last_sent_searched :]:
try:
m = re.search(q, sent)
except re.error:
self.model.reset_results()
self.model.queue.put(SEARCH_ERROR_EVENT)
return
if m:
sent_pos.append((sent, m.start(), m.end()))
i += 1
if i > self.count:
self.model.last_sent_searched += sent_count - 1
break
sent_count += 1
if self.count >= len(sent_pos):
self.model.last_sent_searched += sent_count - 1
self.model.last_page = self.page
self.model.set_results(self.page, sent_pos)
else:
self.model.set_results(self.page, sent_pos[:-1])
self.model.queue.put(SEARCH_TERMINATED_EVENT)
def processed_query(self):
new = []
for term in self.model.query.split():
term = re.sub(r"\.", r"[^/ ]", term)
if re.match("[A-Z]+$", term):
new.append(BOUNDARY + WORD_OR_TAG + "/" + term + BOUNDARY)
elif "/" in term:
new.append(BOUNDARY + term + BOUNDARY)
else:
new.append(BOUNDARY + term + "/" + WORD_OR_TAG + BOUNDARY)
return " ".join(new)
def app():
d = ConcordanceSearchView()
d.mainloop()
if __name__ == "__main__":
app()
__all__ = ["app"]