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@@ -42,12 +42,13 @@ def export_ppt(state, destination, classified):
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def payment_page(payments):
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page = slide()
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height = 660 if 'approvedRecords' in state else 680
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if len(payments) == 1:
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picture(page, payments[0], (300, 20, 680, 680))
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picture(page, payments[0], (300, 20, 680, height))
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else:
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width = (1200 - 24 * (len(payments) - 1)) // len(payments)
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for index, item in enumerate(payments):
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picture(page, item, (40 + index * (width + 24), 20, width, 680))
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picture(page, item, (40 + index * (width + 24), 20, width, height))
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def label(page, box, value, size, title=False):
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shape = page.shapes.add_shape(MSO_SHAPE.RECTANGLE, *(Pt(value) for value in box))
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@@ -83,6 +84,87 @@ def export_ppt(state, destination, classified):
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payment_page([match['payments'][0] for match in batch])
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photos(sum(len(match['payments']) for match in batch if requires_photo(match)))
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if 'approvedRecords' in state:
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import contextlib
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import tempfile
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import pypdfium2 as pdfium
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from pptx.enum.text import MSO_AUTO_SIZE
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records = state['approvedRecords']
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if not records or len(records) > 100:
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raise ValueError('每批请选择 1 至 100 笔已批准申请')
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with tempfile.TemporaryDirectory(prefix='approved-ppt-pages-', dir=Path(destination).parent) as directory:
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page_count = 0
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for record in records:
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summary = slide()
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label(summary, (55, 28, 1170, 64), '已批准报销 · #' + record['id'], 26, True)
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details = [record['projectName'] + ' / ' + record['team'],
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record['name'] + ' · ' + record['type'],
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'提交日期:' + record['date'] + ' 报销金额:¥' + record['amountText']]
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for index, detail in enumerate(details):
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label(summary, (55, 120 + index * 70, 1170, 60), detail, 22)
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note = record.get('note', '').strip()
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for offset in range(0, len(note), 240):
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note_page = summary if offset == 0 else slide()
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label(note_page, (55, 360 if offset == 0 else 100, 1170, 300),
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('备注:' if offset == 0 else '备注(续):') + note[offset:offset + 240], 18)
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groups = {}
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kind_names = {}
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for material in record['materials']:
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kind_names[material['kind']] = material.get('kindName', '其他材料')
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path = Path(material['path'])
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images = []
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try:
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if path.suffix.lower() == '.pdf':
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with contextlib.closing(pdfium.PdfDocument(str(path))) as document:
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if not 0 < len(document) <= 100:
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raise ValueError('单份 PDF 需为 1–100 页,请拆分后导出')
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for page_index in range(len(document)):
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with contextlib.closing(document[page_index]) as pdf_page:
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scale = min(140 / 72, 2600 / max(pdf_page.get_size()))
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with contextlib.closing(pdf_page.render(scale=scale)) as bitmap:
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preview = Path(directory) / f'{page_count}.png'
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bitmap.to_pil().convert('RGB').save(preview)
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images.append({'path': str(preview)})
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page_count += 1
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else:
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with Image.open(path) as image:
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image.verify()
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images.append(material)
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page_count += 1
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except Exception as error:
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raise ValueError(f"申请 #{record['id']} 的“{material['name']}”无法导出:{error}") from error
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if page_count > 1000:
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raise ValueError('材料展开后超过 1,000 页,请减少选择并分批导出')
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groups.setdefault(material['kind'], []).extend(images)
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if not groups:
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label(summary, (55, 660, 1170, 36), '该申请没有上传附件', 16)
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for item in groups.pop('invoice', []):
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picture(slide(), item, (40, 25, 1200, 670))
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payments = groups.pop('payment', [])
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for offset in range(0, len(payments), 4):
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payment_page(payments[offset:offset + 4])
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for kind, materials in sorted(groups.items()):
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for offset in range(0, len(materials), 4):
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page = slide()
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title = '实拍照片' if kind in ('receipt', 'photo') else kind_names[kind]
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label(page, (55, 20, 1170, 50), title, 20, True)
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batch = materials[offset:offset + 4]
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for index, item in enumerate(batch):
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box = (250, 90, 780, 570) if len(batch) == 1 else (55 + index % 2 * 610, 90 + index // 2 * 290, 560, 270)
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picture(page, item, box)
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start = list(presentation.slides).index(summary)
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for page in list(presentation.slides)[start + 1:]:
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label(page, (40, 696, 1200, 22),
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f"{record['projectName']} / {record['team']} · {record['name']} · {record['date']} · #{record['id']}", 10, True)
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for page in presentation.slides:
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for shape in page.shapes:
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if shape.has_text_frame:
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shape.text_frame.word_wrap = True
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shape.text_frame.auto_size = MSO_AUTO_SIZE.TEXT_TO_FIT_SHAPE
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presentation.save(destination)
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return
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matches = sorted(state['matches'], key=lambda match: (min(material_date(item, True) for item in match['invoices']), match['category'] if classified else ''))
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batch = []
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for match in matches:
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