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711 lines
24 KiB
Python
711 lines
24 KiB
Python
# Natural Language Toolkit: Concordance Application
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#
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# Copyright (C) 2001-2020 NLTK Project
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# Author: Sumukh Ghodke <sghodke@csse.unimelb.edu.au>
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# URL: <http://nltk.org/>
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# For license information, see LICENSE.TXT
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import re
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import threading
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import queue as q
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from tkinter.font import Font
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from tkinter import (
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Tk,
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Button,
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END,
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Entry,
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Frame,
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IntVar,
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LEFT,
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Label,
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Menu,
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OptionMenu,
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SUNKEN,
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Scrollbar,
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StringVar,
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Text,
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)
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from nltk.corpus import (
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cess_cat,
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brown,
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nps_chat,
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treebank,
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sinica_treebank,
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alpino,
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indian,
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floresta,
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mac_morpho,
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cess_esp,
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)
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from nltk.util import in_idle
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from nltk.draw.util import ShowText
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WORD_OR_TAG = "[^/ ]+"
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BOUNDARY = r"\b"
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CORPUS_LOADED_EVENT = "<<CL_EVENT>>"
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SEARCH_TERMINATED_EVENT = "<<ST_EVENT>>"
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SEARCH_ERROR_EVENT = "<<SE_EVENT>>"
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ERROR_LOADING_CORPUS_EVENT = "<<ELC_EVENT>>"
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POLL_INTERVAL = 50
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# NB All corpora must be specified in a lambda expression so as not to be
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# loaded when the module is imported.
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_DEFAULT = "English: Brown Corpus (Humor, simplified)"
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_CORPORA = {
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"Catalan: CESS-CAT Corpus (simplified)": lambda: cess_cat.tagged_sents(
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tagset="universal"
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),
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"English: Brown Corpus": lambda: brown.tagged_sents(),
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"English: Brown Corpus (simplified)": lambda: brown.tagged_sents(
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tagset="universal"
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),
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"English: Brown Corpus (Press, simplified)": lambda: brown.tagged_sents(
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categories=["news", "editorial", "reviews"], tagset="universal"
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),
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"English: Brown Corpus (Religion, simplified)": lambda: brown.tagged_sents(
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categories="religion", tagset="universal"
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),
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"English: Brown Corpus (Learned, simplified)": lambda: brown.tagged_sents(
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categories="learned", tagset="universal"
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),
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"English: Brown Corpus (Science Fiction, simplified)": lambda: brown.tagged_sents(
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categories="science_fiction", tagset="universal"
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),
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"English: Brown Corpus (Romance, simplified)": lambda: brown.tagged_sents(
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categories="romance", tagset="universal"
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),
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"English: Brown Corpus (Humor, simplified)": lambda: brown.tagged_sents(
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categories="humor", tagset="universal"
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),
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"English: NPS Chat Corpus": lambda: nps_chat.tagged_posts(),
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"English: NPS Chat Corpus (simplified)": lambda: nps_chat.tagged_posts(
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tagset="universal"
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),
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"English: Wall Street Journal Corpus": lambda: treebank.tagged_sents(),
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"English: Wall Street Journal Corpus (simplified)": lambda: treebank.tagged_sents(
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tagset="universal"
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),
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"Chinese: Sinica Corpus": lambda: sinica_treebank.tagged_sents(),
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"Chinese: Sinica Corpus (simplified)": lambda: sinica_treebank.tagged_sents(
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tagset="universal"
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),
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"Dutch: Alpino Corpus": lambda: alpino.tagged_sents(),
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"Dutch: Alpino Corpus (simplified)": lambda: alpino.tagged_sents(
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tagset="universal"
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),
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"Hindi: Indian Languages Corpus": lambda: indian.tagged_sents(files="hindi.pos"),
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"Hindi: Indian Languages Corpus (simplified)": lambda: indian.tagged_sents(
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files="hindi.pos", tagset="universal"
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),
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"Portuguese: Floresta Corpus (Portugal)": lambda: floresta.tagged_sents(),
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"Portuguese: Floresta Corpus (Portugal, simplified)": lambda: floresta.tagged_sents(
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tagset="universal"
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),
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"Portuguese: MAC-MORPHO Corpus (Brazil)": lambda: mac_morpho.tagged_sents(),
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"Portuguese: MAC-MORPHO Corpus (Brazil, simplified)": lambda: mac_morpho.tagged_sents(
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tagset="universal"
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),
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"Spanish: CESS-ESP Corpus (simplified)": lambda: cess_esp.tagged_sents(
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tagset="universal"
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),
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}
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class ConcordanceSearchView(object):
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_BACKGROUND_COLOUR = "#FFF" # white
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# Colour of highlighted results
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_HIGHLIGHT_WORD_COLOUR = "#F00" # red
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_HIGHLIGHT_WORD_TAG = "HL_WRD_TAG"
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_HIGHLIGHT_LABEL_COLOUR = "#C0C0C0" # dark grey
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_HIGHLIGHT_LABEL_TAG = "HL_LBL_TAG"
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# Percentage of text left of the scrollbar position
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_FRACTION_LEFT_TEXT = 0.30
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def __init__(self):
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self.queue = q.Queue()
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self.model = ConcordanceSearchModel(self.queue)
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self.top = Tk()
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self._init_top(self.top)
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self._init_menubar()
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self._init_widgets(self.top)
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self.load_corpus(self.model.DEFAULT_CORPUS)
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self.after = self.top.after(POLL_INTERVAL, self._poll)
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def _init_top(self, top):
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top.geometry("950x680+50+50")
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top.title("NLTK Concordance Search")
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top.bind("<Control-q>", self.destroy)
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top.protocol("WM_DELETE_WINDOW", self.destroy)
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top.minsize(950, 680)
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def _init_widgets(self, parent):
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self.main_frame = Frame(
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parent, dict(background=self._BACKGROUND_COLOUR, padx=1, pady=1, border=1)
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)
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self._init_corpus_select(self.main_frame)
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self._init_query_box(self.main_frame)
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self._init_results_box(self.main_frame)
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self._init_paging(self.main_frame)
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self._init_status(self.main_frame)
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self.main_frame.pack(fill="both", expand=True)
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def _init_menubar(self):
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self._result_size = IntVar(self.top)
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self._cntx_bf_len = IntVar(self.top)
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self._cntx_af_len = IntVar(self.top)
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menubar = Menu(self.top)
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filemenu = Menu(menubar, tearoff=0, borderwidth=0)
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filemenu.add_command(
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label="Exit", underline=1, command=self.destroy, accelerator="Ctrl-q"
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)
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menubar.add_cascade(label="File", underline=0, menu=filemenu)
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editmenu = Menu(menubar, tearoff=0)
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rescntmenu = Menu(editmenu, tearoff=0)
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rescntmenu.add_radiobutton(
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label="20",
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variable=self._result_size,
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underline=0,
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value=20,
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command=self.set_result_size,
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)
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rescntmenu.add_radiobutton(
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label="50",
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variable=self._result_size,
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underline=0,
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value=50,
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command=self.set_result_size,
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)
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rescntmenu.add_radiobutton(
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label="100",
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variable=self._result_size,
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underline=0,
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value=100,
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command=self.set_result_size,
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)
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rescntmenu.invoke(1)
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editmenu.add_cascade(label="Result Count", underline=0, menu=rescntmenu)
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cntxmenu = Menu(editmenu, tearoff=0)
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cntxbfmenu = Menu(cntxmenu, tearoff=0)
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cntxbfmenu.add_radiobutton(
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label="60 characters",
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variable=self._cntx_bf_len,
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underline=0,
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value=60,
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command=self.set_cntx_bf_len,
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)
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cntxbfmenu.add_radiobutton(
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label="80 characters",
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variable=self._cntx_bf_len,
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underline=0,
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value=80,
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command=self.set_cntx_bf_len,
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)
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cntxbfmenu.add_radiobutton(
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label="100 characters",
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variable=self._cntx_bf_len,
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underline=0,
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value=100,
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command=self.set_cntx_bf_len,
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)
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cntxbfmenu.invoke(1)
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cntxmenu.add_cascade(label="Before", underline=0, menu=cntxbfmenu)
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cntxafmenu = Menu(cntxmenu, tearoff=0)
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cntxafmenu.add_radiobutton(
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label="70 characters",
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variable=self._cntx_af_len,
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underline=0,
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value=70,
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command=self.set_cntx_af_len,
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)
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cntxafmenu.add_radiobutton(
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label="90 characters",
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variable=self._cntx_af_len,
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underline=0,
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value=90,
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command=self.set_cntx_af_len,
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)
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cntxafmenu.add_radiobutton(
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label="110 characters",
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variable=self._cntx_af_len,
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underline=0,
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value=110,
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command=self.set_cntx_af_len,
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)
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cntxafmenu.invoke(1)
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cntxmenu.add_cascade(label="After", underline=0, menu=cntxafmenu)
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editmenu.add_cascade(label="Context", underline=0, menu=cntxmenu)
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menubar.add_cascade(label="Edit", underline=0, menu=editmenu)
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self.top.config(menu=menubar)
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def set_result_size(self, **kwargs):
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self.model.result_count = self._result_size.get()
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def set_cntx_af_len(self, **kwargs):
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self._char_after = self._cntx_af_len.get()
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def set_cntx_bf_len(self, **kwargs):
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self._char_before = self._cntx_bf_len.get()
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def _init_corpus_select(self, parent):
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innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
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self.var = StringVar(innerframe)
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self.var.set(self.model.DEFAULT_CORPUS)
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Label(
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innerframe,
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justify=LEFT,
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text=" Corpus: ",
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background=self._BACKGROUND_COLOUR,
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padx=2,
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pady=1,
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border=0,
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).pack(side="left")
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other_corpora = list(self.model.CORPORA.keys()).remove(
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self.model.DEFAULT_CORPUS
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)
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om = OptionMenu(
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innerframe,
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self.var,
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self.model.DEFAULT_CORPUS,
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command=self.corpus_selected,
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*self.model.non_default_corpora()
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)
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om["borderwidth"] = 0
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om["highlightthickness"] = 1
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om.pack(side="left")
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innerframe.pack(side="top", fill="x", anchor="n")
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def _init_status(self, parent):
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self.status = Label(
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parent,
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justify=LEFT,
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relief=SUNKEN,
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background=self._BACKGROUND_COLOUR,
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border=0,
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padx=1,
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pady=0,
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)
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self.status.pack(side="top", anchor="sw")
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def _init_query_box(self, parent):
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innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
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another = Frame(innerframe, background=self._BACKGROUND_COLOUR)
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self.query_box = Entry(another, width=60)
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self.query_box.pack(side="left", fill="x", pady=25, anchor="center")
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self.search_button = Button(
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another,
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text="Search",
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command=self.search,
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borderwidth=1,
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highlightthickness=1,
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)
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self.search_button.pack(side="left", fill="x", pady=25, anchor="center")
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self.query_box.bind("<KeyPress-Return>", self.search_enter_keypress_handler)
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another.pack()
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innerframe.pack(side="top", fill="x", anchor="n")
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def search_enter_keypress_handler(self, *event):
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self.search()
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def _init_results_box(self, parent):
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innerframe = Frame(parent)
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i1 = Frame(innerframe)
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i2 = Frame(innerframe)
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vscrollbar = Scrollbar(i1, borderwidth=1)
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hscrollbar = Scrollbar(i2, borderwidth=1, orient="horiz")
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self.results_box = Text(
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i1,
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font=Font(family="courier", size="16"),
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state="disabled",
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borderwidth=1,
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yscrollcommand=vscrollbar.set,
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xscrollcommand=hscrollbar.set,
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wrap="none",
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width="40",
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height="20",
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exportselection=1,
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)
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self.results_box.pack(side="left", fill="both", expand=True)
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self.results_box.tag_config(
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self._HIGHLIGHT_WORD_TAG, foreground=self._HIGHLIGHT_WORD_COLOUR
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)
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self.results_box.tag_config(
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self._HIGHLIGHT_LABEL_TAG, foreground=self._HIGHLIGHT_LABEL_COLOUR
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)
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vscrollbar.pack(side="left", fill="y", anchor="e")
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vscrollbar.config(command=self.results_box.yview)
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hscrollbar.pack(side="left", fill="x", expand=True, anchor="w")
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hscrollbar.config(command=self.results_box.xview)
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# there is no other way of avoiding the overlap of scrollbars while using pack layout manager!!!
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Label(i2, text=" ", background=self._BACKGROUND_COLOUR).pack(
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side="left", anchor="e"
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)
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i1.pack(side="top", fill="both", expand=True, anchor="n")
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i2.pack(side="bottom", fill="x", anchor="s")
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innerframe.pack(side="top", fill="both", expand=True)
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def _init_paging(self, parent):
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innerframe = Frame(parent, background=self._BACKGROUND_COLOUR)
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self.prev = prev = Button(
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innerframe,
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text="Previous",
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command=self.previous,
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width="10",
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borderwidth=1,
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highlightthickness=1,
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state="disabled",
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)
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prev.pack(side="left", anchor="center")
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self.next = next = Button(
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innerframe,
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text="Next",
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command=self.__next__,
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width="10",
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borderwidth=1,
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highlightthickness=1,
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state="disabled",
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)
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next.pack(side="right", anchor="center")
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innerframe.pack(side="top", fill="y")
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self.current_page = 0
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def previous(self):
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self.clear_results_box()
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self.freeze_editable()
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self.model.prev(self.current_page - 1)
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def __next__(self):
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self.clear_results_box()
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self.freeze_editable()
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self.model.next(self.current_page + 1)
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def about(self, *e):
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ABOUT = "NLTK Concordance Search Demo\n"
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TITLE = "About: NLTK Concordance Search Demo"
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try:
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from tkinter.messagebox import Message
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Message(message=ABOUT, title=TITLE, parent=self.main_frame).show()
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except:
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ShowText(self.top, TITLE, ABOUT)
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def _bind_event_handlers(self):
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self.top.bind(CORPUS_LOADED_EVENT, self.handle_corpus_loaded)
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self.top.bind(SEARCH_TERMINATED_EVENT, self.handle_search_terminated)
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self.top.bind(SEARCH_ERROR_EVENT, self.handle_search_error)
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self.top.bind(ERROR_LOADING_CORPUS_EVENT, self.handle_error_loading_corpus)
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def _poll(self):
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try:
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event = self.queue.get(block=False)
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except q.Empty:
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pass
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else:
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if event == CORPUS_LOADED_EVENT:
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self.handle_corpus_loaded(event)
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elif event == SEARCH_TERMINATED_EVENT:
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self.handle_search_terminated(event)
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elif event == SEARCH_ERROR_EVENT:
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self.handle_search_error(event)
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elif event == ERROR_LOADING_CORPUS_EVENT:
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self.handle_error_loading_corpus(event)
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self.after = self.top.after(POLL_INTERVAL, self._poll)
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def handle_error_loading_corpus(self, event):
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self.status["text"] = "Error in loading " + self.var.get()
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self.unfreeze_editable()
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self.clear_all()
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self.freeze_editable()
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def handle_corpus_loaded(self, event):
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self.status["text"] = self.var.get() + " is loaded"
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self.unfreeze_editable()
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self.clear_all()
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self.query_box.focus_set()
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def handle_search_terminated(self, event):
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# todo: refactor the model such that it is less state sensitive
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results = self.model.get_results()
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self.write_results(results)
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self.status["text"] = ""
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if len(results) == 0:
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self.status["text"] = "No results found for " + self.model.query
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else:
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self.current_page = self.model.last_requested_page
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self.unfreeze_editable()
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self.results_box.xview_moveto(self._FRACTION_LEFT_TEXT)
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def handle_search_error(self, event):
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self.status["text"] = "Error in query " + self.model.query
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self.unfreeze_editable()
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def corpus_selected(self, *args):
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new_selection = self.var.get()
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self.load_corpus(new_selection)
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def load_corpus(self, selection):
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if self.model.selected_corpus != selection:
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self.status["text"] = "Loading " + selection + "..."
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self.freeze_editable()
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self.model.load_corpus(selection)
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def search(self):
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self.current_page = 0
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self.clear_results_box()
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self.model.reset_results()
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query = self.query_box.get()
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if len(query.strip()) == 0:
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return
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self.status["text"] = "Searching for " + query
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self.freeze_editable()
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self.model.search(query, self.current_page + 1)
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def write_results(self, results):
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self.results_box["state"] = "normal"
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row = 1
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for each in results:
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sent, pos1, pos2 = each[0].strip(), each[1], each[2]
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if len(sent) != 0:
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if pos1 < self._char_before:
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sent, pos1, pos2 = self.pad(sent, pos1, pos2)
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|
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(object):
|
|
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"]
|