File size: 13,100 Bytes
3913f6f
 
 
 
 
e10b390
 
 
 
 
939527c
3913f6f
6ce52dc
 
 
 
 
90a5217
 
b15f880
90a5217
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b15f880
 
f665ab9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3913f6f
90a5217
3913f6f
 
 
90a5217
 
 
f665ab9
 
 
3913f6f
 
939527c
 
e0a8d80
 
3913f6f
 
e0a8d80
 
 
3913f6f
 
e0a8d80
 
 
 
 
 
3913f6f
 
939527c
 
e0a8d80
 
3913f6f
 
 
90a5217
 
 
 
 
 
 
 
 
 
3913f6f
e0a8d80
2e3717c
 
69fee5e
e0a8d80
 
 
3913f6f
e0a8d80
 
 
67cd891
3913f6f
e0a8d80
3913f6f
 
 
 
e0a8d80
 
3913f6f
 
 
67cd891
939527c
 
3913f6f
 
 
 
 
e0a8d80
 
 
 
3913f6f
 
e0a8d80
 
3913f6f
 
 
e0a8d80
 
3913f6f
 
 
 
 
 
e10b390
e0a8d80
e10b390
3913f6f
e10b390
e0a8d80
e10b390
f665ab9
e10b390
 
 
 
 
f665ab9
 
 
 
 
 
 
 
 
e10b390
 
 
 
 
 
 
e0a8d80
e10b390
e0a8d80
e10b390
e0a8d80
e10b390
 
 
 
 
 
 
 
3913f6f
67cd891
e10b390
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3913f6f
e10b390
 
 
 
 
3913f6f
 
 
e0a8d80
 
3913f6f
 
e0a8d80
 
3913f6f
f665ab9
 
 
 
 
 
 
3913f6f
f665ab9
 
 
 
 
 
 
 
90a5217
 
 
f665ab9
 
 
90a5217
 
f665ab9
6ce52dc
3913f6f
6ce52dc
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
# -*- coding: utf-8 -*-
import io
import mistune
from bs4 import BeautifulSoup
from docx import Document
from docx.shared import Pt, Inches
from docx.enum.section import WD_SECTION, WD_ORIENT
from docx.enum.table import WD_CELL_VERTICAL_ALIGNMENT
from docx.oxml import OxmlElement
from docx.oxml.ns import qn
from config import APP_CONFIG


class DocxBuildError(RuntimeError):
    """Raised when markdown cannot be rendered into a valid DOCX document."""


def _manuscript_heading_structure(markdown_content, *, qualitative_appendix=False):
    """Derive unnumbered heading roles from Markdown structure, not language.

    Production manuscripts have an optional title/front-matter H1 followed by
    numbered body H1s and a final References H1. ASQ additionally has a
    penultimate Appendix H1.  The roles are identified by position and the
    existing semantic ASQ packaging flag, so translated wording is irrelevant.
    """
    tokens = mistune.create_markdown(renderer="ast", plugins=["table"])(str(markdown_content or ""))
    headings = []
    for token_index, token in enumerate(tokens):
        if not isinstance(token, dict) or token.get("type") != "heading":
            continue
        level = int((token.get("attrs") or {}).get("level") or 0)
        headings.append((token_index, level))
    h1 = [(token_index, level) for token_index, level in headings if level == 1]
    if not h1:
        return {"first_h1_is_title": False, "unnumbered_h1_ordinals": set()}
    first_h1_is_title = True
    unnumbered = set()
    if len(h1) >= 2:
        unnumbered.add(len(h1))  # final References H1
    if qualitative_appendix and len(h1) >= 3:
        unnumbered.add(len(h1) - 1)  # ASQ Appendix H1
    return {
        "first_h1_is_title": first_h1_is_title,
        "unnumbered_h1_ordinals": unnumbered,
    }


def _table_column_count(token):
    if not isinstance(token, dict) or token.get("type") != "table":
        return 0
    for child in token.get("children") or []:
        if isinstance(child, dict) and child.get("type") == "table_head":
            return len(child.get("children") or [])
    return 0


def _qualitative_appendix_table_ordinal(markdown_content):
    """Return the semantic evidence-table ordinal for an ASQ manuscript.

    The qualitative Appendix is a structural business object: the unique
    six-column Markdown table between the penultimate and final level-1
    headings (Appendix and References in the frozen manuscript architecture).
    Reader-facing header wording is intentionally irrelevant so EN/ZH/RU/KK
    translations retain the same table identity.
    """
    tokens = mistune.create_markdown(renderer="ast", plugins=["table"])(str(markdown_content or ""))
    h1_positions = [
        index for index, token in enumerate(tokens)
        if isinstance(token, dict)
        and token.get("type") == "heading"
        and int((token.get("attrs") or {}).get("level") or 0) == 1
    ]
    if len(h1_positions) < 2:
        return None
    appendix_start, references_start = h1_positions[-2], h1_positions[-1]
    table_ordinal = -1
    candidates = []
    for index, token in enumerate(tokens):
        if not isinstance(token, dict) or token.get("type") != "table":
            continue
        table_ordinal += 1
        if appendix_start < index < references_start and _table_column_count(token) == 6:
            candidates.append(table_ordinal)
    if len(candidates) != 1:
        return None
    return candidates[0]


class DocxRenderer(mistune.HTMLRenderer):
    def __init__(self, *, qualitative_appendix_table_ordinal=None, semantic_qualitative_appendix=False, first_h1_is_title=False, unnumbered_h1_ordinals=None):
        super().__init__()
        self.doc = Document()
        self.h_counters = [0] * 6
        self.h1_ordinal = 0
        self.first_h1_is_title = bool(first_h1_is_title)
        self.unnumbered_h1_ordinals = set(unnumbered_h1_ordinals or set())
        self.table_ordinal = -1
        self.qualitative_appendix_table_ordinal = qualitative_appendix_table_ordinal
        self.semantic_qualitative_appendix = bool(semantic_qualitative_appendix)
        try:
            style = self.doc.styles['Normal']
            style.font.name = APP_CONFIG["docx_styles"]["font_name"]
            style.font.size = Pt(APP_CONFIG["docx_styles"]["font_size_pt"])
        except: 
            pass

    def _render_rich_text(self, p, html_text):
        if not html_text.strip(): 
            return
            
        soup = BeautifulSoup(html_text, 'html.parser')
        for element in soup.children:
            if isinstance(element, str): 
                p.add_run(element)
            elif element.name in ['strong', 'b']: 
                p.add_run(element.get_text()).bold = True
            elif element.name in ['em', 'i']: 
                p.add_run(element.get_text()).italic = True
            elif element.name == 'code':
                run = p.add_run(element.get_text())
                run.font.name = APP_CONFIG["docx_styles"]["code_font"]
                run.font.size = Pt(APP_CONFIG["docx_styles"]["code_size_pt"])
            else: 
                p.add_run(element.get_text())

    def heading(self, text, level):
        clean_text = BeautifulSoup(text, 'html.parser').get_text().strip()
        level = int(level or 0)
        if level == 1:
            self.h1_ordinal += 1
            if (self.first_h1_is_title and self.h1_ordinal == 1) or self.h1_ordinal in self.unnumbered_h1_ordinals:
                self.doc.add_heading(clean_text, level=1)
                return ''
        elif self.first_h1_is_title and self.h1_ordinal == 1:
            # Abstract/Keywords and any other front-matter child headings are
            # structurally unnumbered regardless of language.
            self.doc.add_heading(clean_text, level=level)
            return ''
            
        idx = level - 1
        if 0 <= idx < 6:
            for j in range(idx):
                if self.h_counters[j] == 0: 
                    self.h_counters[j] = 1
                    
            self.h_counters[idx] += 1
            for i in range(idx + 1, 6): 
                self.h_counters[i] = 0
                
            num_str = ".".join(map(str, self.h_counters[0:idx+1]))
            self.doc.add_heading(f"{num_str} {clean_text}", level=level)
        else: 
            self.doc.add_heading(clean_text, level=level)
        return ''

    def paragraph(self, text):
        if text.strip(): 
            self._render_rich_text(self.doc.add_paragraph(), text)
        return ''

    def block_code(self, code, info=None):
        run = self.doc.add_paragraph().add_run(code)
        run.font.name = APP_CONFIG["docx_styles"]["code_font"]
        run.font.size = Pt(APP_CONFIG["docx_styles"]["code_size_pt"])
        return ''

    def block_quote(self, text):
        p = self.doc.add_paragraph()
        self._render_rich_text(p, text)
        try: 
            p.style = 'Intense Quote' if 'Intense Quote' in self.doc.styles else 'Normal'
        except: 
            pass
        return ''

    def list(self, text, ordered, **attrs): 
        return text

    def list_item(self, text):
        if text.strip():
            p = self.doc.add_paragraph()
            p.style = 'List Bullet'
            self._render_rich_text(p, text)
        return ''

    def table(self, text):
        soup = BeautifulSoup(text, 'html.parser')
        rows = soup.find_all('tr')
        if not rows:
            return ''

        max_cols = max(len(row.find_all(['td', 'th'])) for row in rows)
        if max_cols == 0:
            return ''

        self.table_ordinal += 1
        header_labels = [cell.get_text(strip=True) for cell in rows[0].find_all(['td', 'th'])]
        qualitative_headers = [
            'Higher-order Theme', 'Empirical Concept', 'Process Stage',
            'Case/Actor', 'Evidence Role', 'Representative Quote',
        ]
        if self.semantic_qualitative_appendix:
            qualitative_evidence_table = (
                self.qualitative_appendix_table_ordinal is not None
                and self.table_ordinal == self.qualitative_appendix_table_ordinal
            )
        else:
            # Legacy direct-render compatibility. Production ASQ packaging uses
            # the semantic structural identity above and never depends on labels.
            qualitative_evidence_table = header_labels == qualitative_headers

        if qualitative_evidence_table:
            previous = self.doc.sections[-1]
            landscape = self.doc.add_section(WD_SECTION.NEW_PAGE)
            landscape.orientation = WD_ORIENT.LANDSCAPE
            landscape.page_width, landscape.page_height = previous.page_height, previous.page_width

        table = self.doc.add_table(rows=len(rows), cols=max_cols)
        try:
            table.style = 'Table Grid'
        except:
            pass

        if qualitative_evidence_table:
            table.autofit = False
        widths = [1.15, 1.10, 0.85, 0.85, 0.75, 3.80] if qualitative_evidence_table else []
        if qualitative_evidence_table:
            for grid_col, width in zip(table._tbl.tblGrid.gridCol_lst, widths):
                grid_col.set(qn('w:w'), str(int(width * 1440)))

        for i, row in enumerate(rows):
            for j, cell in enumerate(row.find_all(['td', 'th'])):
                if j >= max_cols:
                    continue
                target = table.cell(i, j)
                target.text = cell.get_text(strip=True)
                if qualitative_evidence_table:
                    target.vertical_alignment = WD_CELL_VERTICAL_ALIGNMENT.TOP
                    target.width = Inches(widths[j])
                    tc_pr = target._tc.get_or_add_tcPr()
                    tc_w = tc_pr.first_child_found_in('w:tcW')
                    if tc_w is not None:
                        tc_w.set(qn('w:type'), 'dxa')
                        tc_w.set(qn('w:w'), str(int(widths[j] * 1440)))
                    for paragraph in target.paragraphs:
                        paragraph.paragraph_format.space_before = Pt(0)
                        paragraph.paragraph_format.space_after = Pt(0)
                        for run in paragraph.runs:
                            run.font.size = Pt(9)

        if qualitative_evidence_table and table.rows:
            header_pr = table.rows[0]._tr.get_or_add_trPr()
            header = OxmlElement('w:tblHeader')
            header.set(qn('w:val'), 'true')
            header_pr.append(header)
            for row in table.rows:
                tr_pr = row._tr.get_or_add_trPr()
                cant_split = OxmlElement('w:cantSplit')
                tr_pr.append(cant_split)

        self.doc.add_paragraph()
        if qualitative_evidence_table:
            current = self.doc.sections[-1]
            portrait = self.doc.add_section(WD_SECTION.NEW_PAGE)
            portrait.orientation = WD_ORIENT.PORTRAIT
            portrait.page_width, portrait.page_height = current.page_height, current.page_width
        return ''

    def thematic_break(self):
        self.doc.add_paragraph('_' * 50)
        return ''

    def image(self, src, alt="", title=None):
        self.doc.add_paragraph(f"[Image: {alt or src}]")
        return ''

def text_to_docx(markdown_content, *, qualitative_appendix=False):
    """Render markdown strictly; never disguise renderer failures as success.

    ``qualitative_appendix=True`` is an internal semantic contract supplied by
    ASQ packaging. It binds the deterministic evidence table by manuscript
    structure rather than reader-facing English/Chinese/Russian/Kazakh labels.
    """
    try:
        semantic_qualitative_appendix = bool(qualitative_appendix)
        qualitative_table_ordinal = None
        if semantic_qualitative_appendix:
            qualitative_table_ordinal = _qualitative_appendix_table_ordinal(markdown_content)
            if qualitative_table_ordinal is None:
                raise DocxBuildError(
                    "Qualitative Appendix semantic table identity is missing or ambiguous."
                )
        heading_structure = _manuscript_heading_structure(
            markdown_content, qualitative_appendix=semantic_qualitative_appendix
        )
        renderer = DocxRenderer(
            qualitative_appendix_table_ordinal=qualitative_table_ordinal,
            semantic_qualitative_appendix=semantic_qualitative_appendix,
            first_h1_is_title=heading_structure["first_h1_is_title"],
            unnumbered_h1_ordinals=heading_structure["unnumbered_h1_ordinals"],
        )
        mistune.create_markdown(renderer=renderer, plugins=['table'])(str(markdown_content or ''))
        doc = renderer.doc
        if not doc.paragraphs and not doc.tables:
            raise DocxBuildError("DOCX renderer produced no document content.")
        stream = io.BytesIO()
        doc.save(stream)
        stream.seek(0)
        return stream
    except DocxBuildError:
        raise
    except Exception as exc:
        raise DocxBuildError(f"DOCX rendering failed: {exc}") from exc