Commit d4f49bb7fb36697adb7a764b4720585b6e917230
1 parent
d28cc548
Removed confirm button from lemma examples view. Updated get_stats function.
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7 changed files
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43 additions
and
81 deletions
dictionary/ajax_argument_form.py
... | ... | @@ -59,7 +59,7 @@ def argument_form(request, form_data, lemma_id, position_arguments, |
59 | 59 | lemma_pos = None |
60 | 60 | if lemma_id: |
61 | 61 | lemma_obj = Lemma.objects.get(pk=lemma_id) |
62 | - lemma_pos = Entry.objects.get(name=lemma_obj.entry).pos | |
62 | + lemma_pos = lemma_obj.entry_obj.pos | |
63 | 63 | # jesli wybieramy argument do pozycji w modyfikacji lub jeden |
64 | 64 | # z argumentow do zleksykalizowanego compara to dostepne sa modele argumentow |
65 | 65 | # dla wszystkich czesci mowy |
... | ... |
dictionary/ajax_vocabulary_management.py
... | ... | @@ -36,8 +36,7 @@ from django.utils.encoding import smart_str |
36 | 36 | from common.decorators import ajax, AjaxError, render |
37 | 37 | from dictionary.forms import ManageVocabPermForm |
38 | 38 | from dictionary.models import Frame_Opinion_Value, Lemma, Lemma_Status, \ |
39 | - POS, Vocabulary, VocabularyFormat, WalentyStat,\ | |
40 | - sorted_frame_char_values_dict | |
39 | + POS, Vocabulary, VocabularyFormat, WalentyStat | |
41 | 40 | from dictionary.teixml import createteixml |
42 | 41 | |
43 | 42 | TEXT_VOCABULARY_CLAUSE = u""" |
... | ... | @@ -128,17 +127,12 @@ def create_tei_walenty(lemmas, form_dict): |
128 | 127 | os.chdir(tmp_folder) |
129 | 128 | tmpfile, tmpfilename = mkstemp(dir=tmp_folder) |
130 | 129 | os.close(tmpfile) |
131 | - frame_chars_dict = sorted_frame_char_values_dict() | |
132 | 130 | q_frame_opinions = [] |
133 | 131 | if form_dict['frame_opinions']: |
134 | 132 | for pk in form_dict['frame_opinions']: |
135 | 133 | q_frame_opinions.append(Q(value__pk=pk)) |
136 | 134 | createteixml(tmpfilename, |
137 | - lemmas, | |
138 | - sort_reflex_vals=frame_chars_dict['sorted_reflex_vals'], | |
139 | - sort_aspect_vals=frame_chars_dict['sorted_aspect_vals'], | |
140 | - sort_neg_vals=frame_chars_dict['sorted_neg_vals'], | |
141 | - sort_pred_vals=frame_chars_dict['sorted_pred_vals'], | |
135 | + lemmas, | |
142 | 136 | frame_char_models=[], |
143 | 137 | form_dict=form_dict, |
144 | 138 | q_frame_opinions=q_frame_opinions) |
... | ... | @@ -154,11 +148,11 @@ def create_text_walenty(file_name, lemmas, vocabularies, frame_opinions, |
154 | 148 | lemma_statuses, owners, poss, add_frame_opinions)) |
155 | 149 | for lemma in lemmas: |
156 | 150 | founded_frame_opinions = lemma.frame_opinions.filter(value__in=frame_opinions) |
157 | - frame_chars_dict = sorted_frame_char_values_dict() | |
158 | - for reflex_val in frame_chars_dict['sorted_reflex_vals']: | |
159 | - for neg_val in frame_chars_dict['sorted_neg_vals']: | |
160 | - for pred_val in frame_chars_dict['sorted_pred_vals']: | |
161 | - for aspect_val in frame_chars_dict['sorted_aspect_vals']: | |
151 | + #frame_chars_dict = sorted_frame_char_values_dict() | |
152 | + for reflex_val in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'): | |
153 | + for neg_val in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'): | |
154 | + for pred_val in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'): | |
155 | + for aspect_val in lemma.get_existing_frame_char_values(u'ASPEKT'): | |
162 | 156 | matching_frames = lemma.get_frames_by_char_values(reflex_val=reflex_val, |
163 | 157 | neg_val=neg_val, |
164 | 158 | pred_val=pred_val, |
... | ... | @@ -207,7 +201,6 @@ def create_copyrights_str(vocabularies_pks, frame_opinions_pks, |
207 | 201 | return copyrights |
208 | 202 | |
209 | 203 | def create_tex_walenty(lemmas, form_dict): |
210 | - frame_chars_dict = sorted_frame_char_values_dict() | |
211 | 204 | q_frame_opinions = [] |
212 | 205 | if form_dict['frame_opinions']: |
213 | 206 | for pk in form_dict['frame_opinions']: |
... | ... | @@ -219,10 +212,6 @@ def create_tex_walenty(lemmas, form_dict): |
219 | 212 | # Pass the TeX template through Django templating engine and into the temp file |
220 | 213 | os.write(tmpfile, smart_str(h.unescape(render_to_string('tex/slowal.tex', {'lemmas': lemmas, |
221 | 214 | 'q_frame_opinions': q_frame_opinions, |
222 | - 'sort_reflex_vals': frame_chars_dict['sorted_reflex_vals'], | |
223 | - 'sort_aspect_vals': frame_chars_dict['sorted_aspect_vals'], | |
224 | - 'sort_neg_vals' : frame_chars_dict['sorted_neg_vals'], | |
225 | - 'sort_pred_vals' : frame_chars_dict['sorted_pred_vals'], | |
226 | 215 | 'download_dict' : form_dict})))) |
227 | 216 | os.close(tmpfile) |
228 | 217 | file_name = tmpfilename + '.tex' |
... | ... | @@ -379,8 +368,7 @@ def get_stats(statuses, pos): |
379 | 368 | return stats_dict |
380 | 369 | |
381 | 370 | def get_sub_entries_dict(lemma): |
382 | - sub_entries_dict = {'sub_lemmas': 0} | |
383 | - #frame_chars_dict = sorted_frame_char_values_dict() | |
371 | + sub_entries_dict = {'sub_lemmas': 0} | |
384 | 372 | for reflex in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'): |
385 | 373 | for neg in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'): |
386 | 374 | for pred in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'): |
... | ... |
dictionary/models.py
... | ... | @@ -213,7 +213,7 @@ class Lemma(Model): |
213 | 213 | blank=True, null=True, related_name='lemmas') |
214 | 214 | |
215 | 215 | def __unicode__(self): |
216 | - return '%s (%s)' % (self.entry, self.vocabulary) | |
216 | + return '%s (%s)' % (self.entry, self.vocabulary) | |
217 | 217 | |
218 | 218 | def get_frames_by_char_values(self, reflex_val, neg_val, pred_val, aspect_val): |
219 | 219 | matching_frames = self.frames.filter(characteristics__value=reflex_val |
... | ... | @@ -227,8 +227,9 @@ class Lemma(Model): |
227 | 227 | for frame in self.frames.all(): |
228 | 228 | char_value = frame.get_char_value(char_type) |
229 | 229 | if not char_value in char_vals: |
230 | - char_vals.append(char_value) | |
231 | - return char_vals | |
230 | + char_vals.append(char_value.pk) | |
231 | + char_vals_query = Frame_Char_Value.objects.filter(pk__in=char_vals) | |
232 | + return char_vals_query.order_by('-priority') | |
232 | 233 | |
233 | 234 | def contains_frame_with_exact_positions(self, positions): |
234 | 235 | contains = False |
... | ... |
dictionary/static/js/lemma-view.js
... | ... | @@ -766,7 +766,6 @@ function selectLemmaNkjpTr(id) |
766 | 766 | |
767 | 767 | nkjpInstance = getNkjpLemmaExampleInstance(window.nkjp_lemma_examples, id); |
768 | 768 | fill_nkjp_example_form(nkjpInstance, '.lemma-example-form'); |
769 | - needConfirmation(nkjpInstance); | |
770 | 769 | } |
771 | 770 | } |
772 | 771 | |
... | ... | @@ -822,19 +821,11 @@ function needConfirmation(nkjpInstance) { |
822 | 821 | }, |
823 | 822 | |
824 | 823 | callback: function(result) { |
825 | - if(result['can_confirm']) | |
826 | - { | |
827 | - if(nkjpInstance.frame_id) | |
824 | + if(result['can_confirm']) { | |
828 | 825 | $("button#confirm_example").css("visibility","visible"); |
829 | - else | |
830 | - $("button#confirm_lemma_example").css("visibility","visible"); | |
831 | 826 | } |
832 | - else | |
833 | - { | |
834 | - if(nkjpInstance.frame_id) | |
827 | + else { | |
835 | 828 | $("button#confirm_example").css("visibility","hidden"); |
836 | - else | |
837 | - $("button#confirm_lemma_example").css("visibility","hidden"); | |
838 | 829 | } |
839 | 830 | }, |
840 | 831 | error_callback: function(xhr, status, error) { |
... | ... |
dictionary/teixml.py
... | ... | @@ -39,14 +39,12 @@ from dictionary.models import Atribute_Model, Frame_Opinion_Value, Frame_Char_Mo |
39 | 39 | XML_NAMESPACE = 'http://www.w3.org/XML/1998/namespace' |
40 | 40 | |
41 | 41 | |
42 | -def createteixml(outpath, lemmas, sort_reflex_vals, | |
43 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, frame_char_models, | |
42 | +def createteixml(outpath, lemmas, frame_char_models, | |
44 | 43 | form_dict, q_frame_opinions): |
45 | 44 | root = write_root() |
46 | 45 | write_header(root) |
47 | 46 | lemmas = lemmas.filter(entry=u'administrować') |
48 | - write_entries(root, lemmas, sort_reflex_vals, | |
49 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, frame_char_models, | |
47 | + write_entries(root, lemmas, frame_char_models, | |
50 | 48 | form_dict, q_frame_opinions) |
51 | 49 | with codecs.open(outpath, 'wt', 'utf-8') as output_file: |
52 | 50 | output_file.write(etree.tostring(root, pretty_print = True)) |
... | ... | @@ -75,8 +73,7 @@ def write_header(root): |
75 | 73 | p = etree.SubElement(source_desc, 'p') |
76 | 74 | p.text = 'File generated using Slowal. Mentioned tool available at: walenty.ipipan.waw.pl.' |
77 | 75 | |
78 | -def write_entries(root, lemmas, sort_reflex_vals, | |
79 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, frame_char_models, | |
76 | +def write_entries(root, lemmas, frame_char_models, | |
80 | 77 | form_dict, q_frame_opinions): |
81 | 78 | text = etree.SubElement(root, 'text') |
82 | 79 | body = etree.SubElement(text, 'body') |
... | ... | @@ -84,13 +81,10 @@ def write_entries(root, lemmas, sort_reflex_vals, |
84 | 81 | frame_opinions = None |
85 | 82 | if q_frame_opinions: |
86 | 83 | frame_opinions = lemma.frame_opinions.filter(reduce(operator.or_, q_frame_opinions)) |
87 | - write_entry(body, lemma, sort_reflex_vals, | |
88 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, frame_char_models, | |
84 | + write_entry(body, lemma, frame_char_models, | |
89 | 85 | form_dict, frame_opinions) |
90 | 86 | |
91 | -def write_entry(body_elem, lemma, sort_reflex_vals, | |
92 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, | |
93 | - frame_char_models, form_dict, frame_opinions): | |
87 | +def write_entry(body_elem, lemma, frame_char_models, form_dict, frame_opinions): | |
94 | 88 | entry_xml_id = 'wal_%s-ent' % str(lemma.entry_obj.id) |
95 | 89 | entry_elem = etree.SubElement(body_elem, 'entry') |
96 | 90 | entry_elem.attrib[etree.QName(XML_NAMESPACE, 'id')] = entry_xml_id |
... | ... | @@ -101,19 +95,13 @@ def write_entry(body_elem, lemma, sort_reflex_vals, |
101 | 95 | pos_elem = etree.SubElement(form_elem, 'pos') |
102 | 96 | pos_elem.text = lemma.entry_obj.pos.tag |
103 | 97 | |
104 | - write_syntactic_layer(entry_elem, lemma, form_dict, | |
105 | - sort_reflex_vals, sort_aspect_vals, | |
106 | - sort_neg_vals, sort_pred_vals, | |
107 | - frame_opinions) | |
98 | + write_syntactic_layer(entry_elem, lemma, form_dict, frame_opinions) | |
108 | 99 | write_examples_layer(entry_elem, lemma) |
109 | 100 | write_semantic_layer(entry_elem, lemma) |
110 | 101 | write_meanings_layer(entry_elem, lemma) |
111 | 102 | write_connections_layer(entry_elem, lemma) |
112 | 103 | |
113 | -def write_syntactic_layer(entry_elem, lemma, form_dict, | |
114 | - sort_reflex_vals, sort_aspect_vals, | |
115 | - sort_neg_vals, sort_pred_vals, | |
116 | - frame_opinions): | |
104 | +def write_syntactic_layer(entry_elem, lemma, form_dict, frame_opinions): | |
117 | 105 | synt_layer_fs_elem = etree.SubElement(entry_elem, 'fs') |
118 | 106 | synt_layer_fs_elem.attrib['type'] = 'syntacticLayer' |
119 | 107 | schemata_f_elem = etree.SubElement(synt_layer_fs_elem, 'f') |
... | ... | @@ -121,10 +109,10 @@ def write_syntactic_layer(entry_elem, lemma, form_dict, |
121 | 109 | vColl_elem = etree.SubElement(schemata_f_elem, 'vColl') |
122 | 110 | vColl_elem.attrib['org'] = 'set' |
123 | 111 | |
124 | - for reflex_val in sort_reflex_vals: | |
125 | - for neg_val in sort_neg_vals: | |
126 | - for pred_val in sort_pred_vals: | |
127 | - for aspect_val in sort_aspect_vals: | |
112 | + for reflex_val in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'): | |
113 | + for neg_val in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'): | |
114 | + for pred_val in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'): | |
115 | + for aspect_val in lemma.get_existing_frame_char_values(u'ASPEKT'): | |
128 | 116 | matchingframes = lemma.get_frames_by_char_values(reflex_val=reflex_val, |
129 | 117 | neg_val=neg_val, |
130 | 118 | pred_val=pred_val, |
... | ... | @@ -606,13 +594,13 @@ def write_synsets_sel_prefs(parent_elem, arg): |
606 | 594 | write_synset(vColl_elem, synset) |
607 | 595 | |
608 | 596 | def write_synset(parent_elem, synset): |
609 | - synset_fs_elem = etree.SubElement(parent_elem, 'fs') | |
610 | - synset_fs_elem.attrib['type'] = 'synset' | |
611 | - | |
612 | - plWN_id_elem = etree.SubElement(synset_fs_elem, 'f') | |
613 | - plWN_id_elem.attrib['name'] = 'plwnid' | |
597 | +# synset_fs_elem = etree.SubElement(parent_elem, 'fs') | |
598 | +# synset_fs_elem.attrib['type'] = 'synset' | |
599 | +# | |
600 | +# plWN_id_elem = etree.SubElement(synset_fs_elem, 'f') | |
601 | +# plWN_id_elem.attrib['name'] = 'plwnid' | |
614 | 602 | |
615 | - id_numeric_elem = etree.SubElement(plWN_id_elem, 'numeric') | |
603 | + id_numeric_elem = etree.SubElement(parent_elem, 'numeric') | |
616 | 604 | id_numeric_elem.attrib['value'] = str(synset.id) |
617 | 605 | |
618 | 606 | def write_predefined_sel_prefs(parent_elem, arg): |
... | ... | @@ -628,13 +616,13 @@ def write_predefined_sel_prefs(parent_elem, arg): |
628 | 616 | write_predef(vColl_elem, predef) |
629 | 617 | |
630 | 618 | def write_predef(parent_elem, predef): |
631 | - predef_fs_elem = etree.SubElement(parent_elem, 'fs') | |
632 | - predef_fs_elem.attrib['type'] = 'predef' | |
633 | - | |
634 | - name_f_elem = etree.SubElement(predef_fs_elem, 'f') | |
635 | - name_f_elem.attrib['name'] = 'name' | |
619 | +# predef_fs_elem = etree.SubElement(parent_elem, 'fs') | |
620 | +# predef_fs_elem.attrib['type'] = 'predef' | |
621 | +# | |
622 | +# name_f_elem = etree.SubElement(predef_fs_elem, 'f') | |
623 | +# name_f_elem.attrib['name'] = 'name' | |
636 | 624 | |
637 | - name_symbol_elem = etree.SubElement(name_f_elem, 'symbol') | |
625 | + name_symbol_elem = etree.SubElement(parent_elem, 'symbol') | |
638 | 626 | name_symbol_elem.attrib['value'] = predef.name |
639 | 627 | |
640 | 628 | def write_relation_sel_prefs(parent_elem, arg, arg_base_id): |
... | ... |
dictionary/templates/lemma_examples.html
... | ... | @@ -12,10 +12,6 @@ |
12 | 12 | assign_lemma_example(selected_lemma_example_id) |
13 | 13 | }); |
14 | 14 | |
15 | - $("button#confirm_lemma_example").click(function(){ | |
16 | - confirm_lemma_example(selected_lemma_example_id) | |
17 | - }); | |
18 | - | |
19 | 15 | </script> |
20 | 16 | |
21 | 17 | <strong>Przykłady niepasujące do żadnego schematu:</strong> |
... | ... | @@ -44,7 +40,6 @@ |
44 | 40 | {% if perms.dictionary.modify_lemma_examples %} |
45 | 41 | <button type="button" id="delete_lemma_example" style="width:140px">Usuń</button> |
46 | 42 | <button type="button" id="modify_lemma_example" style="width:140px">Modyfikuj</button> |
47 | - <button type="button" id="confirm_lemma_example" style="width:140px; visibility:hidden;">Potwierdź</button> | |
48 | 43 | {% endif %} |
49 | 44 | </div> |
50 | 45 | {% endif %} |
... | ... |
dictionary/templatetags/tex_tags.py
... | ... | @@ -84,8 +84,7 @@ def convtotex(example): |
84 | 84 | |
85 | 85 | # do pomocy przy pobieraniu slownika w formacie pdf |
86 | 86 | @register.inclusion_tag('tex/lemma.tex') |
87 | -def lemma_tex(lemma, loop_counter, q_frame_opinions, sort_reflex_vals, | |
88 | - sort_aspect_vals, sort_neg_vals, sort_pred_vals, download_dict): | |
87 | +def lemma_tex(lemma, loop_counter, q_frame_opinions, download_dict): | |
89 | 88 | lemma_examples = lemma.lemma_nkjp_examples.order_by('source__priority', |
90 | 89 | 'opinion__priority', |
91 | 90 | 'sentence').all() |
... | ... | @@ -95,10 +94,10 @@ def lemma_tex(lemma, loop_counter, q_frame_opinions, sort_reflex_vals, |
95 | 94 | frames = [] |
96 | 95 | if q_frame_opinions: |
97 | 96 | frame_opinions = lemma.frame_opinions.filter(reduce(operator.or_, q_frame_opinions)) |
98 | - for reflex_val in sort_reflex_vals: | |
99 | - for neg_val in sort_neg_vals: | |
100 | - for pred_val in sort_pred_vals: | |
101 | - for aspect_val in sort_aspect_vals: | |
97 | + for reflex_val in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'): | |
98 | + for neg_val in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'): | |
99 | + for pred_val in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'): | |
100 | + for aspect_val in lemma.get_existing_frame_char_values(u'ASPEKT'): | |
102 | 101 | matching_frames = lemma.get_frames_by_char_values(reflex_val=reflex_val, |
103 | 102 | neg_val=neg_val, |
104 | 103 | pred_val=pred_val, |
... | ... |