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277 lines
9.3 KiB
277 lines
9.3 KiB
from message.simple_messages import ClickMessage, DataChgClickMessage, NoAction
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from message.message import msg, Message
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from view import modals
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from browser import window, document
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from lib.snabbdom import h
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from lib.preferences import get_preference
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from lib.structure_conversions import convert_structure
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from model.example.example import Example
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from model.example.corpus_example import CorpusExample
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from model.example.multiword_example import MultiwordExample
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from model.example.component_lexeme import ComponentLexeme
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from model.example_clusters import ExampleClusters
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class SkeExample:
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COLOR_CLASS = {
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None: "no-gf2-info",
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True: "goof-gf2-info",
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False: "bad-gf2-info"
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}
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def __init__(self):
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self.left = ""
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self.right = ""
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self.mid = ""
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self.s_id = ""
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self.gf2_good = None
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self.gf2_check = False
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@staticmethod
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def fromLine(line):
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result = SkeExample()
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for left_el in line.Left:
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result.left += left_el.str
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for right_el in line.Right:
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result.right += right_el.str
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for mid_el in line.Kwic:
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result.mid += mid_el.str
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for ref in line.Refs:
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if ref.startswith("s.id"):
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result.s_id = ref.split("=")[1]
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return result
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def view(self):
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return [h("span.{}".format(self.COLOR_CLASS[self.gf2_good]), {}, [
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h("span", {}, self.left + " "),
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h("span", {"style": {"font-weight": "bold"}}, self.mid),
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h("span", {}, self.right)])]
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class SkeCollocation:
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def __init__(self, data):
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self.word = data.word
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self.frequency = data.count
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self.structure_name, self.structure_id = convert_structure(data.gramrel, data.lempos)
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self.other = {"score": data.score, "cm": data.cm}
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def view(self):
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return [h("span.example-text", {}, [
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h("span.example-text-2", {}, self.word),
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h("span.example-frequency", {}, self.frequency),
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h("span.example-logdice", {}, self.other["score"]),
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h("span", {}, "; "),
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h("span.grey1", {}, self.other["cm"]),
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h("span", {}, ","),
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h("span.grey2", {}, self.structure_name)])]
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def get_parser(ske_index_type):
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if ske_index_type == 0:
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return lambda data: [SkeExample.fromLine(line) for line in data.Lines]
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elif ske_index_type == 1:
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return lambda data: [SkeCollocation(item) for item in data.Items]
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else:
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raise "unknown ske index type"
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def match_gf2_examples(data, *args):
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if type(data) is not list:
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return
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url = "https://gf2examples.cjvt.si/get_examples"
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xhr = __new__(XMLHttpRequest())
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xhr.open("POST", url, True)
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request_dict = {}
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for example in data:
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request_dict[example.s_id] = example.mid
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xhr.setRequestHeader("Content-type", "application/json");
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xhr.addEventListener("load", msg(SkeModalGf2Update, *args, data))
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to_send = window.JSON.stringify(request_dict)
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xhr.send(to_send)
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class SkeModal(ClickMessage):
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def on_event(self, event):
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# event could be data if this is the return from external library
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if type(event) in [list, int]:
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self.add_arg(event)
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else:
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if len(self._args) < 4:
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self.add_arg(None)
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super().on_event(event)
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def update_model(self, model):
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page_num = self.get_arg(0, int)
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search_term = self.get_arg(1, str)
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ske_index = self.get_arg(2, int)
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ske_lookup = model.ske.url_for_kind_index(ske_index)
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next_message = msg(SkeModal, page_num, search_term, ske_index)
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# could be none if empty
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data = self.get_arg(3)
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if data is None:
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params = {"additional_refs": "s.id,p.id",
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"page_num": page_num,
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"error_callback": next_message,
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"data_parser": get_parser(ske_index)}
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gdex = get_preference("ske_gdex")
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if gdex:
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if not len(gdex) == 2:
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window.console.log("Strange gdex setting, should be a list of length 2: [gdexconf, gdexcnt]")
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return
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params["gdex"] = gdex
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model.ske.request(search_term, next_message, ske_lookup, params)
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elif type(data) is list:
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window.console.log(data)
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# check if gf2 examples are loaded or not
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if not data[0].gf2_check and type(data[0]) is SkeExample:
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# we get the data, we have to match it with available data on our gf2 examples API
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match_gf2_examples(data, page_num, search_term, ske_index)
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elif type(data[0]) is SkeCollocation:
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data.sort(key= lambda x: x.structure_name)
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data = [x for x in data if x.structure_name is not "N/A"]
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model.modal_set(lambda: modals.ske_list(
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search_term, data, page_num, model.entry.senses, model.ske.request_kinds))
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def reset(self):
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return False
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class SkeModalGf2Update(SkeModal):
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def on_event(self, event):
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response_data = window.JSON.parse(event.target.response)
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data = self.get_arg(3)
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data_dict = {}
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for example in data:
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example.gf_good = False
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data_dict[example.s_id] = example
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bad_response = dict(response_data["bad"])
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for gf_sid, gf_data in bad_response.items():
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data_dict[gf_sid].gf2_good = None
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data_dict[gf_sid].gf2_check = True
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good_response = dict(response_data["good"])
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for gf_sid, gf_data in good_response.items():
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data_dict[gf_sid].left = gf_data.left
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data_dict[gf_sid].mid = gf_data.mid
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data_dict[gf_sid].right = gf_data.right
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data_dict[gf_sid].gf2_good = True
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data_dict[gf_sid].gf2_check = True
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# changed data_dict, now we can redraw!
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# just let it do its thing in update_model
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class ShowSkeModal(SkeModal):
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def on_event(self, event):
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# if just showing first time, than show empty results and let user click search
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self.add_arg("")
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super().on_event(event)
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class SearchInSkeModal(SkeModal):
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def on_event(self, event):
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self.add_arg(int(document.getElementById("ske-page-num").value))
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self.add_arg(document.getElementById("ske-search").value)
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self.add_arg(document.getElementById("ske-select").selectedIndex)
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super().on_event(event)
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class SkeInsert(DataChgClickMessage):
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def update_model(self, model):
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data = self.get_arg(0)
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if type(data) is not list:
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return
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if len(data) == 0:
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return
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sense_num = document.getElementById("ske-sense-select").selectedIndex
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sense = model.entry.senses[sense_num]
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elements = document.getElementsByClassName("ske-line-check")
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assert(len(elements) == len(data))
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for ex, element in zip(data, elements):
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if not element.checked:
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continue
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elif isinstance(ex, SkeExample):
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sense.examples.append(self._as_corpus_example(ex))
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elif isinstance(ex, SkeCollocation):
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sense.examples.append(self._as_multiword_example(ex))
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else:
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console.log("You really should not be here, my lady")
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continue
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model.reset()
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def _as_corpus_example(self, example):
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new_example = Example()
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new_example.inner = CorpusExample()
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new_example.inner.other_attributes["example_id"] = example.s_id
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new_example.inner.cluster = ExampleClusters.first_empty_cluster()
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lex_left = ComponentLexeme()
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lex_left.text = example["left"]
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lex_left.role = None
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lex_mid = ComponentLexeme()
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lex_mid.text = example["mid"]
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lex_mid.role = "headword"
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lex_right = ComponentLexeme()
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lex_right.text = example["right"]
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lex_right.role = None
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new_example.components.extend([lex_left, lex_mid, lex_right])
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return new_example
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def _as_multiword_example(self, example):
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new_collocation = Example()
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new_collocation.inner = MultiwordExample()
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new_collocation.inner.other_attributes["structure_id"] = example.structure_id
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new_collocation.inner.other_attributes["structureName"] = example.structure_name
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new_collocation.inner.other_attributes["logDice"] = example.other["score"]
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new_collocation.inner.other_attributes["frequency"] = example.frequency
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new_collocation.inner.type = "collocation"
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lex_left = ComponentLexeme()
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lex_left.text = ""
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lex_left.role = None
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lex_mid = ComponentLexeme()
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lex_mid.text = example.word
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lex_mid.role = "collocate"
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lex_right = ComponentLexeme()
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lex_right.text = ""
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lex_right.role = None
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new_collocation.components.extend([lex_left, lex_mid, lex_right])
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return new_collocation
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