Initial commit: InternalAuditInterprise
This commit is contained in:
freedakgmail
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""精美版：本地LLM审计方案 PPTX，带流程图/热力矩阵/架构分层/卡片排版。"""
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from pptx import Presentation
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from pptx.util import Inches, Pt, Emu
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from pptx.dml.color import RGBColor
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from pptx.enum.text import PP_ALIGN, MSO_ANCHOR
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from pptx.enum.shapes import MSO_SHAPE
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from pptx.oxml.ns import qn
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import copy
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# ---------- 主题色 ----------
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BG = RGBColor(0x0A, 0x16, 0x2E) # 主深蓝背景
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BG2 = RGBColor(0x0E, 0x20, 0x42) # 次背景
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CARD = RGBColor(0x14, 0x2B, 0x52) # 卡片
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CARD2 = RGBColor(0x1B, 0x37, 0x66) # 卡片亮
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CYAN = RGBColor(0x2D, 0xE0, 0xD0) # 主青
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CYAN_D = RGBColor(0x16, 0x9B, 0x97)
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BLUE = RGBColor(0x3B, 0x82, 0xF6) # 蓝
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PURPLE = RGBColor(0x8B, 0x7CF if False else 0x7C, 0xF6)
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GOLD = RGBColor(0xF5, 0xB7, 0x42) # 金
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RED = RGBColor(0xEF, 0x5A, 0x5A) # 红（高风险）
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ORANGE = RGBColor(0xF2, 0x8B, 0x3C)
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GREEN = RGBColor(0x35, 0xC7, 0x59)
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WHITE = RGBColor(0xFF, 0xFF, 0xFF)
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LIGHT = RGBColor(0xCB, 0xD8, 0xEC) # 正文浅
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MUTE = RGBColor(0x8A, 0x9C, 0xB8) # 弱化
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FONT = "PingFang SC"
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FONT_B = "PingFang SC"
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SW, SH = Inches(13.333), Inches(7.5)
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prs = Presentation()
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prs.slide_width, prs.slide_height = SW, SH
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BLANK = prs.slide_layouts[6]
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# ---------- 底层工具 ----------
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def _set_grad(shape, c1, c2, angle=90):
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"""给 shape 设置线性渐变填充。"""
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sp = shape.fill._xPr # spPr
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# 移除已有填充
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for tag in ('a:noFill','a:solidFill','a:gradFill','a:blipFill','a:pattFill','a:grpFill'):
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for e in sp.findall(qn(tag)):
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sp.remove(e)
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grad = sp.makeelement(qn('a:gradFill'), {})
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lst = grad.makeelement(qn('a:gsLst'), {})
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for pos, col in ((0, c1), (100000, c2)):
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gs = grad.makeelement(qn('a:gs'), {'pos': str(pos if pos else int(pos*1000))})
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if pos == 0: gs.set('pos','0')
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else: gs.set('pos','100000')
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clr = gs.makeelement(qn('a:srgbClr'), {'val': '%02X%02X%02X' % (col[0],col[1],col[2])})
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gs.append(clr); lst.append(gs)
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grad.append(lst)
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lin = grad.makeelement(qn('a:lin'), {'ang': str(int(angle*60000)), 'scaled':'1'})
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grad.append(lin)
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# 插入到 ln 之前
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ln = sp.find(qn('a:ln'))
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if ln is not None: sp.insert(list(sp).index(ln), grad)
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else: sp.append(grad)
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def bg_gradient(slide, c1=BG, c2=BG2):
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r = slide.shapes.add_shape(MSO_SHAPE.RECTANGLE, 0, 0, SW, SH)
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r.line.fill.background(); r.shadow.inherit = False
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r.fill.solid(); r.fill.fore_color.rgb = c1
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_set_grad(r, c1, c2, angle=120)
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return r
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def rrect(slide, x, y, w, h, color=None, grad=None, line=None, lw=1, radius=0.08):
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sp = slide.shapes.add_shape(MSO_SHAPE.ROUNDED_RECTANGLE, x, y, w, h)
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sp.shadow.inherit = False
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try:
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sp.adjustments[0] = radius
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except Exception:
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pass
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if grad:
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sp.fill.solid(); sp.fill.fore_color.rgb = grad[0]
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_set_grad(sp, grad[0], grad[1], angle=90)
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elif color is not None:
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sp.fill.solid(); sp.fill.fore_color.rgb = color
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else:
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sp.fill.background()
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if line is not None:
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sp.line.color.rgb = line; sp.line.width = Pt(lw)
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else:
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sp.line.fill.background()
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return sp
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def rect(slide, x, y, w, h, color=None, grad=None, line=None, lw=1):
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sp = slide.shapes.add_shape(MSO_SHAPE.RECTANGLE, x, y, w, h)
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sp.shadow.inherit = False
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if grad:
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sp.fill.solid(); sp.fill.fore_color.rgb = grad[0]; _set_grad(sp, grad[0], grad[1])
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elif color is not None:
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sp.fill.solid(); sp.fill.fore_color.rgb = color
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else:
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sp.fill.background()
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if line is not None:
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sp.line.color.rgb = line; sp.line.width = Pt(lw)
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else:
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sp.line.fill.background()
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return sp
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def circle(slide, x, y, d, color=None, grad=None, line=None, lw=1.5):
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sp = slide.shapes.add_shape(MSO_SHAPE.OVAL, x, y, d, d)
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sp.shadow.inherit = False
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if grad:
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sp.fill.solid(); sp.fill.fore_color.rgb = grad[0]; _set_grad(sp, grad[0], grad[1])
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elif color is not None:
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sp.fill.solid(); sp.fill.fore_color.rgb = color
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else:
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sp.fill.background()
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if line is not None:
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sp.line.color.rgb = line; sp.line.width = Pt(lw)
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else:
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sp.line.fill.background()
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return sp
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def chevron(slide, x, y, w, h, color):
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sp = slide.shapes.add_shape(MSO_SHAPE.CHEVRON, x, y, w, h)
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sp.shadow.inherit = False
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sp.fill.solid(); sp.fill.fore_color.rgb = color
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sp.line.fill.background()
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return sp
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def shape_text(shape, runs, align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, wrap=True):
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tf = shape.text_frame; tf.word_wrap = wrap; tf.vertical_anchor = anchor
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tf.margin_left = Pt(4); tf.margin_right = Pt(4)
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tf.margin_top = Pt(2); tf.margin_bottom = Pt(2)
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for i, para in enumerate(runs):
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p = tf.paragraphs[0] if i == 0 else tf.add_paragraph()
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p.alignment = align; p.space_after = Pt(2); p.space_before = Pt(0)
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for (t, sz, c, b) in para:
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r = p.add_run(); r.text = t
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r.font.size = Pt(sz); r.font.color.rgb = c; r.font.bold = b; r.font.name = FONT
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def txt(slide, x, y, w, h, runs, align=PP_ALIGN.LEFT, anchor=MSO_ANCHOR.TOP,
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wrap=True, sa=6, line_spacing=None):
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tb = slide.shapes.add_textbox(x, y, w, h); tf = tb.text_frame
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tf.word_wrap = wrap; tf.vertical_anchor = anchor
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for i, para in enumerate(runs):
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p = tf.paragraphs[0] if i == 0 else tf.add_paragraph()
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p.alignment = align; p.space_after = Pt(sa); p.space_before = Pt(0)
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if line_spacing: p.line_spacing = line_spacing
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for (t, sz, c, b) in para:
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r = p.add_run(); r.text = t
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r.font.size = Pt(sz); r.font.color.rgb = c; r.font.bold = b; r.font.name = FONT
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return tb
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def header(slide, kicker, title):
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rect(slide, Inches(0.7), Inches(0.62), Inches(0.14), Inches(0.62), grad=(CYAN, BLUE))
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txt(slide, Inches(0.98), Inches(0.5), Inches(11.5), Inches(0.4),
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[[(kicker, 13, CYAN, True)]], sa=0)
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txt(slide, Inches(0.95), Inches(0.82), Inches(11.6), Inches(0.7),
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[[(title, 29, WHITE, True)]], sa=0)
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def footer(slide, page):
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rect(slide, 0, Inches(7.18), SW, Inches(0.32), color=BG2)
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txt(slide, Inches(0.7), Inches(7.16), Inches(6), Inches(0.32),
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[[("数据不出域 · 审计全穿透", 9.5, MUTE, False)]], anchor=MSO_ANCHOR.MIDDLE, sa=0)
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txt(slide, Inches(11.6), Inches(7.16), Inches(1.0), Inches(0.32),
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[[(f"{page:02d} / 23", 10, CYAN, True)]], align=PP_ALIGN.RIGHT,
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anchor=MSO_ANCHOR.MIDDLE, sa=0)
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def new(kicker=None, title=None, page=None):
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s = prs.slides.add_slide(BLANK)
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bg_gradient(s)
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# 右上角装饰圆
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circle(s, Inches(11.6), Inches(-1.0), Inches(3.2), color=BG2)
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circle(s, Inches(12.4), Inches(-0.4), Inches(1.6), color=CARD)
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if kicker is not None:
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header(s, kicker, title)
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if page is not None:
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footer(s, page)
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return s
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# ============== 1 封面 ==============
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def cover():
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s = prs.slides.add_slide(BLANK)
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bg_gradient(s, RGBColor(0x07,0x10,0x24), RGBColor(0x10,0x29,0x52))
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# 几何装饰
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circle(s, Inches(9.8), Inches(-1.6), Inches(5.2), color=RGBColor(0x10,0x24,0x48))
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circle(s, Inches(11.2), Inches(0.2), Inches(2.8), grad=(CYAN_D, BG))
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for i, d in enumerate([Inches(0.16)]*3):
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circle(s, Inches(10.2+ i*0.5), Inches(4.6 + i*0.35), d, color=CYAN)
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rect(s, 0, 0, Inches(0.22), SH, grad=(CYAN, BLUE))
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txt(s, Inches(0.9), Inches(1.7), Inches(3), Inches(0.5),
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[[("AI · 全域内审", 15, CYAN, True)]], sa=0)
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rect(s, Inches(0.95), Inches(2.2), Inches(2.4), Pt(4), color=CYAN)
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txt(s, Inches(0.88), Inches(2.45), Inches(10.5), Inches(1.7),
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[[("数据不出域", 56, WHITE, True)], [("审计全穿透", 56, CYAN, True)]], sa=4)
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txt(s, Inches(0.95), Inches(4.95), Inches(10.5), Inches(1.2),
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[[("基于本地私有化大模型的电信运营商 AI 全域内审体系", 20, WHITE, True)],
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[("不是一套工具，而是一套建在自己机房里、越用越聪明的审计能力体系", 14.5, LIGHT, False)]], sa=8)
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rect(s, Inches(0.95), Inches(6.35), Inches(0.5), Pt(3), color=CYAN)
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txt(s, Inches(0.95), Inches(6.5), Inches(6), Inches(0.4),
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[[("2026 年 6 月", 13, MUTE, False)]], sa=0)
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cover()
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# ============== 2 痛点：三个数字 + 三类困局 ==============
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def pain():
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s = new("现状 · 困局", "为什么传统审计“查不过来”？", 2)
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# 三个大数字卡片
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stats = [("150亿", "年业务规模", BLUE), ("5000万", "潜在异常金额", GOLD), ("5%", "传统抽样覆盖率", RED)]
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x = Inches(0.95); w = Inches(3.62); gap = Inches(0.27)
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for i,(num, lab, col) in enumerate(stats):
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cx = x + i*(w+gap)
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c = rrect(s, cx, Inches(1.75), w, Inches(1.55), color=CARD, radius=0.1)
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rect(s, cx, Inches(1.75), Inches(0.1), Inches(1.55), color=col)
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txt(s, cx+Inches(0.25), Inches(1.92), w-Inches(0.3), Inches(0.85),
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[[(num, 38, col, True)]], sa=0)
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txt(s, cx+Inches(0.27), Inches(2.75), w-Inches(0.3), Inches(0.4),
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[[(lab, 14, LIGHT, False)]], sa=0)
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# 三类困局
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cases = [
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("拆单规避", "8 个客户各签 600 万 ICT 项目全拆成 80 万以下，三重一大抽样完美避开。"),
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("稳定的定，稳定的退", "每月新增 6000 人订彩铃，3 个月后首月用户全退订，渠道已领佣金、骗补后弃养。"),
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("Excel 干不过来", "海量单据只能抽样，查不全查不深，5000 万异常如针落大海。"),
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]
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y = Inches(3.55)
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for i,(t, d) in enumerate(cases):
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cy = y + i*Inches(0.78)
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rrect(s, Inches(0.95), cy, Inches(11.55), Inches(0.66), color=CARD if i%2 else CARD2, radius=0.12)
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circle(s, Inches(1.12), cy+Inches(0.13), Inches(0.4), grad=(CYAN, BLUE))
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txt(s, Inches(1.12), cy+Inches(0.13), Inches(0.4), Inches(0.4),
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[[(str(i+1), 16, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
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txt(s, Inches(1.7), cy, Inches(2.4), Inches(0.66),
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[[(t, 14.5, CYAN, True)]], anchor=MSO_ANCHOR.MIDDLE, sa=0)
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txt(s, Inches(4.0), cy, Inches(8.3), Inches(0.66),
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[[(d, 12.5, LIGHT, False)]], anchor=MSO_ANCHOR.MIDDLE, sa=0)
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txt(s, Inches(0.95), Inches(6.05), Inches(11.55), Inches(0.5),
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[[("核心矛盾：", 13, GOLD, True),
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("数据涉政企合同/用户隐私/财务凭证，上公有云=裸奔；不上 AI 又干不过来。", 13, WHITE, False)]],
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anchor=MSO_ANCHOR.MIDDLE, sa=0)
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pain()
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# ============== 通用表格 ==============
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def style_table(table, headers, rows, col_widths, total_w, top, left=Inches(0.95),
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hrow=Inches(0.52), rrow=Inches(0.62), fs=12, hfs=13):
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n = len(rows)+1
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for i,w in enumerate(col_widths):
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table.columns[i].width = Inches(w)
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table.rows[0].height = hrow
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for i in range(1, n): table.rows[i].height = rrow
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# remove default style banding via first row formatting
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for j,h in enumerate(headers):
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c = table.cell(0,j); c.fill.solid(); c.fill.fore_color.rgb = CYAN_D
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c.vertical_anchor = MSO_ANCHOR.MIDDLE
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p = c.text_frame.paragraphs[0]; p.alignment = PP_ALIGN.CENTER
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c.text_frame.word_wrap = True
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r = p.add_run(); r.text = h; r.font.size = Pt(hfs); r.font.bold = True
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r.font.color.rgb = WHITE; r.font.name = FONT
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for i,row in enumerate(rows, start=1):
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for j,val in enumerate(row):
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c = table.cell(i,j); c.fill.solid()
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c.fill.fore_color.rgb = CARD if i%2 else CARD2
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c.vertical_anchor = MSO_ANCHOR.MIDDLE
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c.text_frame.word_wrap = True
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p = c.text_frame.paragraphs[0]
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p.alignment = PP_ALIGN.CENTER if j==0 else PP_ALIGN.LEFT
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r = p.add_run(); r.text = val; r.font.size = Pt(fs)
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r.font.bold = (j==0)
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r.font.color.rgb = CYAN if j==0 else LIGHT
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r.font.name = FONT
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def table_slide(page, kicker, title, headers, rows, note=None, col_widths=None,
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fs=12, hfs=13):
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s = new(kicker, title, page)
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total = sum(col_widths)
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top = Inches(1.85)
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shp = s.shapes.add_table(len(rows)+1, len(headers), Inches(0.95), top,
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Inches(total), Inches(0.5)+Inches(0.6)*len(rows))
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# 去掉自带样式
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tbl = shp.table
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style_table(tbl, headers, rows, col_widths, total, top, fs=fs, hfs=hfs)
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if note:
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ny = top + Inches(0.5)+Inches(0.62)*len(rows) + Inches(0.3)
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rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.7), color=CARD2, radius=0.18)
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rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.7), color=GOLD)
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txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.7),
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[[("▶ ", 13, GOLD, True), (note, 13, WHITE, True)]],
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anchor=MSO_ANCHOR.MIDDLE, sa=0)
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return s
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# ============== 3 三方对比 ==============
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table_slide(3, "破局 · 定位", "本地 LLM 让“安全”和“智能”不再二选一",
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["对比维度", "传统抽样审计", "公有云 AI 审计", "本地 LLM 审计（我们）"],
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[
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["数据范围", "按金额抽样，查不全", "全量扫描，但数据出域", "全量扫描，数据不出机房"],
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["规则能力", "规则写死，反向规避", "模型强，但合规风险高", "模型私有化，合规可控"],
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["响应效率", "Excel 翻表，效率低", "实时预警，依赖外网", "内网闭环，秒级响应"],
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["交互模式", "人找数据", "数据找人，但数据送人", "数据找人，数据原地不动"],
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["能力归属", "经验在人脑，人走经验走", "能力在外部，租用即失", "能力沉淀本地，越用越聪明"],
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],
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note="把千问 70B / DeepSeek 装进本地机房，让 AI 在数据旁边干活，而不是把数据送给 AI。",
|
||||
col_widths=[2.0, 3.1, 3.2, 3.25])
|
||||
|
||||
|
||||
# ============== 4 审计域全景 + 风险热力矩阵 ==============
|
||||
def domain_heat():
|
||||
s = new("方法论 · 框架", "审计域全景图 + 风险分级模型", 4)
|
||||
# 左：五大风险域
|
||||
domains = [
|
||||
("收入域", "政企穿透·跨期匹配·云空转", CYAN),
|
||||
("成本域", "渠道佣金·终端补贴·摊销", BLUE),
|
||||
("采购域", "网络建设·工程·围标串标", PURPLE),
|
||||
("资金域", "回款挂账·网间结算·流向", GOLD),
|
||||
("合规域", "员工舞弊·权限·积分套现", GREEN),
|
||||
]
|
||||
txt(s, Inches(0.95), Inches(1.75), Inches(6), Inches(0.4),
|
||||
[[("五大风险域 · 全覆盖", 15, WHITE, True)]], sa=0)
|
||||
y = Inches(2.25)
|
||||
for i,(t,d,col) in enumerate(domains):
|
||||
cy = y + i*Inches(0.82)
|
||||
rrect(s, Inches(0.95), cy, Inches(6.0), Inches(0.68), color=CARD, radius=0.14)
|
||||
rect(s, Inches(0.95), cy, Inches(0.12), Inches(0.68), color=col)
|
||||
circle(s, Inches(1.2), cy+Inches(0.14), Inches(0.4), color=col)
|
||||
txt(s, Inches(1.55), cy, Inches(1.5), Inches(0.68),
|
||||
[[(t, 15, WHITE, True)]], anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, Inches(3.0), cy, Inches(3.85), Inches(0.68),
|
||||
[[(d, 11.5, LIGHT, False)]], anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
# 右：风险热力矩阵 3x3
|
||||
txt(s, Inches(7.4), Inches(1.75), Inches(5), Inches(0.4),
|
||||
[[("风险热力矩阵 · 有优先级", 15, WHITE, True)]], sa=0)
|
||||
gx, gy = Inches(8.35), Inches(2.35)
|
||||
cell = Inches(1.25)
|
||||
# 颜色矩阵 [行=金额影响 高->低][列=概率 低->高]
|
||||
heat = [
|
||||
[ORANGE, RED, RED],
|
||||
[GOLD, ORANGE, RED],
|
||||
[GREEN, GOLD, ORANGE],
|
||||
]
|
||||
labels = [
|
||||
["", "", "优先\n全量监控"],
|
||||
["重点\n定向穿透", "", ""],
|
||||
["", "", "批量\n聚类筛查"],
|
||||
]
|
||||
for r_ in range(3):
|
||||
for c_ in range(3):
|
||||
cx = gx + c_*cell; cyy = gy + r_*cell
|
||||
rrect(s, cx, cyy, cell-Inches(0.08), cell-Inches(0.08),
|
||||
color=heat[r_][c_], radius=0.12)
|
||||
if labels[r_][c_]:
|
||||
lines = [[(seg, 9.5, WHITE, True)] for seg in labels[r_][c_].split("\n")]
|
||||
txt(s, cx, cyy, cell-Inches(0.08), cell-Inches(0.08),
|
||||
lines, align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
# 轴标签
|
||||
txt(s, gx-Inches(0.05), gy-Inches(0.05), cell*3, Inches(0.3), [], sa=0)
|
||||
txt(s, Inches(7.55), gy, Inches(0.75), cell*3,
|
||||
[[("金\n额\n影\n响", 11, CYAN, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, gx, gy+cell*3-Inches(0.02), cell*3, Inches(0.35),
|
||||
[[("发生概率 低 → 高", 11, CYAN, True)]], align=PP_ALIGN.CENTER, sa=0)
|
||||
# 底注
|
||||
ny = Inches(6.35)
|
||||
rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.62), color=CARD2, radius=0.2)
|
||||
rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.62), color=GOLD)
|
||||
txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.62),
|
||||
[[("▶ ", 13, GOLD, True),
|
||||
("不是工具集合，而是有体系、有优先级的全域审计框架。", 13, WHITE, True)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
domain_heat()
|
||||
|
||||
|
||||
# ============== 5 四大引擎（2x2卡片）==============
|
||||
def engines():
|
||||
s = new("能力 · 底座", "“本地 AI 审计大脑”四大核心引擎", 5)
|
||||
cards = [
|
||||
("01", "本地私有化 LLM 引擎", "模型本地化部署，数据绝不出域；推理、规则配置、报告生成、线索解释。", CYAN),
|
||||
("02", "全量穿透引擎", "直连 BSS/OSS/ERP/财务，不抽样，对所有合同、回款、行为做关联扫描。", BLUE),
|
||||
("03", "规则进化引擎（护城河）", "自然语言描述新造假→自动转规则→沙箱验证→把顾问经验固化为机构资产。", GOLD),
|
||||
("04", "线索驱动引擎", "对异常聚类做人话解释，输出附证据链的高价值线索，直推审计员桌面。", GREEN),
|
||||
]
|
||||
W, H = Inches(5.7), Inches(2.18)
|
||||
gx, gy = Inches(0.95), Inches(1.85)
|
||||
gapx, gapy = Inches(0.18), Inches(0.22)
|
||||
for i,(no,t,d,col) in enumerate(cards):
|
||||
r,c = divmod(i,2)
|
||||
x = gx + c*(W+gapx); y = gy + r*(H+gapy)
|
||||
rrect(s, x, y, W, H, color=CARD, radius=0.07)
|
||||
rect(s, x, y, Inches(0.14), H, color=col)
|
||||
circle(s, x+Inches(0.35), y+Inches(0.32), Inches(0.85), grad=(col, BG2))
|
||||
txt(s, x+Inches(0.35), y+Inches(0.32), Inches(0.85), Inches(0.85),
|
||||
[[(no, 26, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, x+Inches(1.4), y+Inches(0.35), W-Inches(1.6), Inches(0.6),
|
||||
[[(t, 17, WHITE, True)]], sa=0)
|
||||
txt(s, x+Inches(1.4), y+Inches(1.0), W-Inches(1.65), Inches(1.05),
|
||||
[[(d, 12.5, LIGHT, False)]], sa=0, line_spacing=1.15)
|
||||
engines()
|
||||
|
||||
|
||||
# ============== 6-13 场景页 ==============
|
||||
def scene(page, no, name, color, blocks):
|
||||
s = prs.slides.add_slide(BLANK); bg_gradient(s)
|
||||
# 左侧色带
|
||||
rect(s, 0, 0, Inches(3.0), SH, color=BG2)
|
||||
rect(s, Inches(3.0), 0, Inches(0.06), SH, color=color)
|
||||
circle(s, Inches(0.55), Inches(2.0), Inches(1.9), grad=(color, BG2))
|
||||
txt(s, Inches(0.55), Inches(2.05), Inches(1.9), Inches(1.9),
|
||||
[[(no, 60, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, Inches(0.3), Inches(0.55), Inches(2.4), Inches(0.4),
|
||||
[[("场景", 14, color, True)]], align=PP_ALIGN.CENTER, sa=0)
|
||||
txt(s, Inches(0.25), Inches(4.15), Inches(2.55), Inches(1.6),
|
||||
[[(seg, 19, WHITE, True)] for seg in name.split("\n")],
|
||||
align=PP_ALIGN.CENTER, sa=2)
|
||||
# 右侧内容卡片
|
||||
y = Inches(0.7)
|
||||
icons = {"经典案例":"●","扩展案例":"●","AI 审计点":"◆","本地 LLM 能力":"▲","业务链路":"►"}
|
||||
for label, text in blocks:
|
||||
h = Inches(1.18) if len(text) > 46 else Inches(0.95)
|
||||
rrect(s, Inches(3.3), y, Inches(9.55), h, color=CARD if "案例" not in label or "扩展" in label else CARD2, radius=0.08)
|
||||
# 标签条
|
||||
lab_col = color if label in ("AI 审计点","本地 LLM 能力","业务链路") else CYAN
|
||||
txt(s, Inches(3.55), y+Inches(0.12), Inches(9.1), Inches(0.36),
|
||||
[[(label, 13.5, lab_col, True)]], sa=0)
|
||||
txt(s, Inches(3.55), y+Inches(0.46), Inches(9.1), h-Inches(0.5),
|
||||
[[(text, 12.5, LIGHT, False)]], sa=0, line_spacing=1.12)
|
||||
y = y + h + Inches(0.12)
|
||||
footer(s, page)
|
||||
|
||||
scenes = [
|
||||
("01","政企收入\n全链路穿透", CYAN, [
|
||||
("业务链路","立项→审批→报价→签约→开票→回款，全链路穿透。"),
|
||||
("经典案例（拆单规避+虚假回款）","8 个客户各签 600 万拆成 79-99 万规避审批，尾款 500 万长期挂账；注册地址同楼、法人为同一人亲属、付款账户同一实控企业。"),
|
||||
("AI 审计点","合同金额阈值边缘聚集；工商关联穿透识别隐性实控人；回款时序聚类识别批量违约。"),
|
||||
("本地 LLM 能力","自然语言查数、关联推理、一键生成《政企客户回款异常专项线索清单》。"),
|
||||
]),
|
||||
("02","市场业务\n真实性", BLUE, [
|
||||
("经典案例（稳定的定，稳定的退）","每月新增 6000 人订彩铃，3 个月后首月用户全退订，骗补后弃养；号码集中乡镇、通话记录为零。"),
|
||||
("扩展案例（物联网卡虚假激活）","批量开通 10 万张卡称智慧停车，激活后零流量，按激活量领每台 50 元补贴，半年后集体沉默。"),
|
||||
("AI 审计点","用户生命周期时序识别；佣金与业务质量匹配；沉默/零通话用户聚类；交付物与收入交叉验证。"),
|
||||
("本地 LLM 能力","识别脉冲式增长+规律性衰减的周期性造假，自动提炼为新规则。"),
|
||||
]),
|
||||
("03","收入与成本\n跨期匹配", PURPLE, [
|
||||
("经典案例（趸交收入一次性确认）","24 个月套餐送手表，收入应分 24 月却因趸交一把确认，手表成本却摊 24 月，确认时点严重错配。"),
|
||||
("扩展案例（提前确认）","云项目约定按用量计费，财务却在设备上架当月全额确认，客户前 6 月几乎零使用。"),
|
||||
("AI 审计点","自动勾稽确认政策 vs 账务 vs 合同；识别一次性确认异常分录；成本摊销与收入跨期匹配。"),
|
||||
("本地 LLM 能力","跨系统自动勾稽，识别收入成本确认时点错配的异常分录模式。"),
|
||||
]),
|
||||
("04","渠道佣金与\n代理商套利", GOLD, [
|
||||
("经典案例（虚假放号+套机套卡）","批量买老人机插 5G 卡激活后丢弃，领 5G 迁转佣金每台 200 元+补贴 300 元，次月用户全流失。"),
|
||||
("扩展案例（异地窜货套利）","从邻省低价采购同款机，本省以新用户入网名义领高额补贴，手机回流二级市场。"),
|
||||
("AI 审计点","IMEI 与用户绑定真实性；佣金与在网时长匹配；终端流向追踪；代理商质量时序衰减。"),
|
||||
("本地 LLM 能力","IMEI 级终端流向追踪，识别激活-沉默-流失套利闭环。"),
|
||||
]),
|
||||
("05","网络建设与\n工程采购", GREEN, [
|
||||
("经典案例（围标串标+虚增工程量）","3 家投标报价差异不足 1%、方案雷同，中标后同一班组施工，签证单同一笔迹不同日期批量签字。"),
|
||||
("扩展案例（虚假巡检）","系统显示月巡检 2000 次，GPS 比对实际只到 300 站，其余照片复用+坐标伪造。"),
|
||||
("AI 审计点","投标报价相似度与文件雷同度；工程量与资源消耗匹配；巡检轨迹与工单交叉；马甲供应商识别。"),
|
||||
("本地 LLM 能力","NLP 比对投标雷同度，GPS 轨迹与工单交叉验证，识别马甲供应商。"),
|
||||
]),
|
||||
("06","互联互通与\n网间结算", CYAN, [
|
||||
("经典案例（话务量操纵）","与境外合谋虚假国际来话刷量，主叫为虚商号段，时长均为 30/60 秒整数倍，明显非真人。"),
|
||||
("扩展案例（短信网关刷量）","SP 伪造记录申报成功发送 10 亿条按 0.05 元/条结算，实际到达率不足 10%。"),
|
||||
("AI 审计点","话务量时序异常与整数时长聚集；结算数据与原始信令比对；SP/CP 业务量与结算交叉验证。"),
|
||||
("本地 LLM 能力","识别整数倍通话时长等非人类行为，信令级原始数据比对。"),
|
||||
]),
|
||||
("07","云业务/IDC\n与新兴业务", BLUE, [
|
||||
("经典案例（云资源空转）","政企客户签 3 年云服务年付 100 万，CPU 利用率长期<5%、存储近空，却全额确认收入，实控人为领导亲属。"),
|
||||
("扩展案例（IDC 机柜虚租）","宣称出租率 90%，实际大量机柜无设备、电费为零，收入来自关联方预付租金。"),
|
||||
("AI 审计点","资源使用量 vs 计费量匹配；出租率与电力消耗勾稽；关联方与预付异常；确认与验收时序一致性。"),
|
||||
("本地 LLM 能力","资源利用率与计费量自动比对，关联方网络挖掘，识别空转收入。"),
|
||||
]),
|
||||
("08","员工内部舞弊\n与资源滥用", PURPLE, [
|
||||
("经典案例（内部号码套利）","员工用权限批量开员工测试号对外出租免流套餐，流量收入全计入内部成本未确认收入。"),
|
||||
("扩展案例（积分套现）","勾结外部商户虚构消费批量刷积分兑换礼品卡变现，某商户单日发放量超正常 100 倍。"),
|
||||
("AI 审计点","权限操作日志异常模式；测试号实际用途偏离；积分流向追踪；权限与岗位匹配度。"),
|
||||
("本地 LLM 能力","操作日志异常挖掘，权限-岗位匹配分析，积分流向网络追踪。"),
|
||||
]),
|
||||
]
|
||||
pg = 6
|
||||
for no,name,col,blocks in scenes:
|
||||
scene(pg, no, name, col, blocks); pg += 1
|
||||
|
||||
|
||||
# ============== 14 数据治理 ==============
|
||||
def governance():
|
||||
s = new("工程 · 地基", "数据接入与治理层（全量穿透的前提）", 14)
|
||||
items = [
|
||||
("多源异构接入","适配 BSS/OSS/ERP/财务/合同/工单/信令各系统接口、数据库、文件，统一汇入本地数据湖。", CYAN),
|
||||
("主数据对齐","客户、合同、号码、工单、供应商跨系统实体统一，解决主键对不上。", BLUE),
|
||||
("数据质量探查与清洗","缺失、重复、口径不一自动探查清洗，建立质量评分。", PURPLE),
|
||||
("增量同步与时效","从年度快照升级为近实时增量，支撑常态化监控。", GOLD),
|
||||
]
|
||||
W, H = Inches(5.7), Inches(1.55)
|
||||
gx,gy = Inches(0.95), Inches(1.85)
|
||||
for i,(t,d,col) in enumerate(items):
|
||||
r,c = divmod(i,2)
|
||||
x = gx + c*(W+Inches(0.18)); y = gy + r*(H+Inches(0.2))
|
||||
rrect(s, x, y, W, H, color=CARD, radius=0.08)
|
||||
rect(s, x, y, Inches(0.12), H, color=col)
|
||||
circle(s, x+Inches(0.32), y+Inches(0.3), Inches(0.55), color=col)
|
||||
txt(s, x+Inches(0.32), y+Inches(0.3), Inches(0.55), Inches(0.55),
|
||||
[[(str(i+1), 18, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, x+Inches(1.05), y+Inches(0.2), W-Inches(1.2), Inches(0.45),
|
||||
[[(t, 15.5, WHITE, True)]], sa=0)
|
||||
txt(s, x+Inches(1.05), y+Inches(0.66), W-Inches(1.25), Inches(0.8),
|
||||
[[(d, 12, LIGHT, False)]], sa=0, line_spacing=1.12)
|
||||
ny = Inches(5.5)
|
||||
rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.95), color=CARD2, radius=0.12)
|
||||
rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.95), color=GOLD)
|
||||
txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.95),
|
||||
[[("我们把脏活写进方案、承担下来", 14.5, GOLD, True)],
|
||||
[("数据治理是这套体系工作量最大、最该提前立项的一环，而非回避。", 12.5, WHITE, False)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=3)
|
||||
governance()
|
||||
|
||||
|
||||
# ============== 15 人机协同闭环（流程图）==============
|
||||
def closed_loop():
|
||||
s = new("闭环 · 价值", "人机协同闭环：线索之后才是价值", 15)
|
||||
steps = ["AI 全量扫描","生成线索+证据链","审计员复核研判","自动生成底稿","定性 / 整改","复核销项闭环"]
|
||||
cols = [CYAN, BLUE, PURPLE, BLUE, GOLD, GREEN]
|
||||
n = len(steps)
|
||||
x0 = Inches(0.85); y = Inches(2.1); w = Inches(1.95); h = Inches(0.95); ov = Inches(0.32)
|
||||
step_w = (Inches(12.5) - w) / (n-1)
|
||||
for i,(t,col) in enumerate(zip(steps, cols)):
|
||||
x = x0 + step_w*i
|
||||
ch = chevron(s, x, y, w+ov, h, col)
|
||||
shape_text(ch, [[(seg, 12.5, WHITE, True)] for seg in t.split(" ")] if " " in t else [[(t,12.5,WHITE,True)]],
|
||||
align=PP_ALIGN.CENTER)
|
||||
# 返回箭头示意（闭环）
|
||||
txt(s, Inches(0.85), Inches(3.05), Inches(12), Inches(0.4),
|
||||
[[("◄──────────────── 规则进化反哺，越用越聪明 ────────────────►", 12, MUTE, True)]],
|
||||
align=PP_ALIGN.CENTER, sa=0)
|
||||
# 三栏角色
|
||||
roles = [
|
||||
("AI 侧","出线索、附证据链、给判定理由、自动生成可追溯底稿。", CYAN),
|
||||
("审计员侧","复核研判、定性、决定整改或移交、最终签字。", BLUE),
|
||||
("闭环管理","线索分派、取证留痕、整改跟踪、销项复核全流程在线。", GOLD),
|
||||
]
|
||||
W = Inches(3.7); gx = Inches(0.95); y2 = Inches(3.75)
|
||||
for i,(t,d,col) in enumerate(roles):
|
||||
x = gx + i*(W+Inches(0.22))
|
||||
rrect(s, x, y2, W, Inches(1.85), color=CARD, radius=0.08)
|
||||
rect(s, x, y2, W, Inches(0.5), color=col)
|
||||
txt(s, x, y2, W, Inches(0.5), [[(t, 15, WHITE, True)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, x+Inches(0.25), y2+Inches(0.65), W-Inches(0.5), Inches(1.1),
|
||||
[[(d, 12.5, LIGHT, False)]], sa=0, line_spacing=1.18)
|
||||
ny = Inches(5.95)
|
||||
rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.62), color=CARD2, radius=0.2)
|
||||
rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.62), color=GOLD)
|
||||
txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.62),
|
||||
[[("▶ ", 13, GOLD, True),
|
||||
("从“发现工具”升级为“办案平台”——每一步都接得住、留得痕。", 13, WHITE, True)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
closed_loop()
|
||||
|
||||
|
||||
# ============== 16 误报治理 ==============
|
||||
def fp_control():
|
||||
s = new("可信 · 落地", "误报治理与置信度分级（专业 = 诚实）", 16)
|
||||
# 左：三级置信漏斗
|
||||
txt(s, Inches(0.95), Inches(1.8), Inches(6), Inches(0.4),
|
||||
[[("三级置信分流", 15, WHITE, True)]], sa=0)
|
||||
tiers = [("高置信","直接推送处置", GREEN, 6.0),
|
||||
("中置信","人工复核研判", GOLD, 4.6),
|
||||
("低置信","归档备查", MUTE, 3.2)]
|
||||
y = Inches(2.35)
|
||||
for t,d,col,w in tiers:
|
||||
ww = Inches(w)
|
||||
x = Inches(0.95) + (Inches(6.0)-ww)/2
|
||||
rrect(s, x, y, ww, Inches(0.85), color=col, radius=0.22)
|
||||
shape = txt(s, x, y, ww, Inches(0.85),
|
||||
[[(t, 15, WHITE, True)],[(d, 12, WHITE, False)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=1)
|
||||
y = y + Inches(1.0)
|
||||
# 右：要点卡片
|
||||
pts = [
|
||||
("每条线索可解释","附证据链 + 判定理由，拒绝黑盒打分。", CYAN),
|
||||
("反馈学习闭环","审计员标注误报/属实，系统持续校准阈值，准确率随使用上升。", BLUE),
|
||||
("公开运营指标","命中率、准确率、线索转化率上看板，成效可量化可追溯。", GOLD),
|
||||
]
|
||||
x = Inches(7.4); yy = Inches(2.35)
|
||||
for t,d,col in pts:
|
||||
rrect(s, x, yy, Inches(5.1), Inches(0.85), color=CARD, radius=0.1)
|
||||
rect(s, x, yy, Inches(0.1), Inches(0.85), color=col)
|
||||
txt(s, x+Inches(0.3), yy+Inches(0.1), Inches(4.7), Inches(0.32),
|
||||
[[(t, 13.5, CYAN, True)]], sa=0)
|
||||
txt(s, x+Inches(0.3), yy+Inches(0.42), Inches(4.7), Inches(0.4),
|
||||
[[(d, 11.5, LIGHT, False)]], sa=0, line_spacing=1.05)
|
||||
yy = yy + Inches(1.0)
|
||||
ny = Inches(6.05)
|
||||
rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.7), color=CARD2, radius=0.18)
|
||||
rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.7), color=GOLD)
|
||||
txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.7),
|
||||
[[("▶ ", 13, GOLD, True),
|
||||
("主动交代精准度反而显专业——藏着不说，才是最大的风险。", 13, WHITE, True)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
fp_control()
|
||||
|
||||
|
||||
# ============== 17 平台架构（分层）==============
|
||||
def architecture():
|
||||
s = new("架构 · 全栈", "本地私有化 LLM 审计平台架构", 17)
|
||||
layers = [
|
||||
("应用层","自然语言查询 · 线索看板 · 智能报告 · 预警推送 —— 审计人员零门槛使用", CYAN),
|
||||
("引擎层","全量穿透引擎 + 规则进化引擎 + 线索生成引擎 —— LLM 驱动三大引擎", BLUE),
|
||||
("数据层","本地数据湖（BSS/OSS/ERP/财务/合同/工单/信令）—— 直连内网，零出域", PURPLE),
|
||||
("模型层","千问 70B / DeepSeek / 自研行业模型 —— 审计领域微调，懂电信业务", GOLD),
|
||||
("算力层","本地 A100 / H100 / 国产 GPU 集群 —— 承载 70B 级推理，信创可适配", GREEN),
|
||||
]
|
||||
y = Inches(1.8); h = Inches(0.82); lw = Inches(9.9)
|
||||
for i,(t,d,col) in enumerate(layers):
|
||||
rrect(s, Inches(0.95), y, lw, h, color=CARD, radius=0.06)
|
||||
rrect(s, Inches(0.95), y, Inches(1.7), h, color=col, radius=0.06)
|
||||
txt(s, Inches(0.95), y, Inches(1.7), h, [[(t, 15, WHITE, True)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, Inches(2.85), y, lw-Inches(2.0), h, [[(d, 12.5, LIGHT, False)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
y = y + h + Inches(0.12)
|
||||
# 右侧贯穿条：安全合规与自审计
|
||||
rrect(s, Inches(11.05), Inches(1.8), Inches(1.45), h*5+Inches(0.48), grad=(CYAN_D, BLUE), radius=0.08)
|
||||
txt(s, Inches(11.05), Inches(1.8), Inches(1.45), h*5+Inches(0.48),
|
||||
[[("安", 17, WHITE, True)],[("全", 17, WHITE, True)],[("合", 17, WHITE, True)],
|
||||
[("规", 17, WHITE, True)],[("·", 14, WHITE, True)],[("自", 17, WHITE, True)],
|
||||
[("审", 17, WHITE, True)],[("计", 17, WHITE, True)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=1)
|
||||
ny = Inches(6.6)
|
||||
txt(s, Inches(0.95), ny, Inches(11.55), Inches(0.4),
|
||||
[[("全链路内网闭环 · 数据零出域 · 权限分级 · 不可篡改日志 · 版本留痕", 13.5, CYAN, True)]],
|
||||
align=PP_ALIGN.CENTER, sa=0)
|
||||
architecture()
|
||||
|
||||
|
||||
# ============== 18 独立性与自审计 ==============
|
||||
def independence():
|
||||
s = new("制度 · 独立性", "独立性与系统自审计：系统本身也经得起审计", 18)
|
||||
items = [
|
||||
("防放水","规则配置、阈值调整全程留痕，任何改动可追溯，杜绝调教规则放水。", CYAN),
|
||||
("防拦截","线索一旦生成即不可删除，处置过程全程记录，杜绝线索被拦下。", BLUE),
|
||||
("权限分级","配规则、看线索、改阈值、出报告分权管理，相互制衡。", PURPLE),
|
||||
("三重留痕","模型版本、规则版本、数据版本可回溯，任一结论可还原当时状态。", GOLD),
|
||||
]
|
||||
W, H = Inches(5.7), Inches(1.95)
|
||||
gx,gy = Inches(0.95), Inches(1.9)
|
||||
for i,(t,d,col) in enumerate(items):
|
||||
r,c = divmod(i,2)
|
||||
x = gx + c*(W+Inches(0.18)); y = gy + r*(H+Inches(0.22))
|
||||
rrect(s, x, y, W, H, color=CARD, radius=0.08)
|
||||
circle(s, x+Inches(0.3), y+Inches(0.32), Inches(0.7), grad=(col, BG2))
|
||||
txt(s, x+Inches(0.3), y+Inches(0.32), Inches(0.7), Inches(0.7),
|
||||
[[("🔒" if False else "■", 18, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, x+Inches(1.2), y+Inches(0.3), W-Inches(1.4), Inches(0.5),
|
||||
[[(t, 17, col, True)]], sa=0)
|
||||
txt(s, x+Inches(1.2), y+Inches(0.85), W-Inches(1.45), Inches(1.0),
|
||||
[[(d, 12.5, LIGHT, False)]], sa=0, line_spacing=1.15)
|
||||
txt(s, Inches(0.95), Inches(6.4), Inches(11.55), Inches(0.4),
|
||||
[[("既当运动员又当裁判是内审大忌——用制度化留痕与分权，让系统自己也透明可查。", 13, CYAN, True)]],
|
||||
align=PP_ALIGN.CENTER, sa=0)
|
||||
independence()
|
||||
|
||||
|
||||
# ============== 19 四重跃升 ==============
|
||||
table_slide(19, "价值 · 跃升", "本地 LLM 带来的四重跃升",
|
||||
["关键跃升", "从 → 到", "价值内涵"],
|
||||
[
|
||||
["审计覆盖面", "5% → 100%", "全量扫描，异常无处藏身"],
|
||||
["数据出域风险", "存在 → 归零", "全链路内网闭环，满足等保最严要求"],
|
||||
["审计节奏", "年度快照 → 7×24 常态化", "动态舞弊实时捕捉"],
|
||||
["能力归属", "外部租用 → 本地永久沉淀", "规则进化，越用越聪明"],
|
||||
],
|
||||
note="安全 · 能力 · 效率 · 进化——四重价值，远超传统 BI 工具。",
|
||||
col_widths=[2.8, 4.2, 4.55], fs=13, hfs=13.5)
|
||||
|
||||
|
||||
# ============== 20 ROI ==============
|
||||
table_slide(20, "测算 · 回报", "价值测算：把“异常”变成客户的钱",
|
||||
["价值来源", "测算逻辑", "年化收益（保守）"],
|
||||
[
|
||||
["可挽回收入/止损", "全量覆盖挖出抽样漏掉的异常并整改", "数千万级"],
|
||||
["外部咨询费节省", "常态化自有能力替代重复性项目采购", "百万级 / 年"],
|
||||
["人力释放", "审计员从翻表取数转向研判处置", "数倍效率提升"],
|
||||
["风险事件预防", "提前发现合规风险，规避处罚与声誉损失", "难以估量"],
|
||||
],
|
||||
note="投入一次本地化建设，沉淀的是持续产生收益的永久资产，而非每年重复支出的项目费用。",
|
||||
col_widths=[2.9, 5.85, 2.8], fs=13, hfs=13.5)
|
||||
|
||||
|
||||
# ============== 21 差异化 ==============
|
||||
def differentiation():
|
||||
s = new("差异化 · 主张", "我们的差异化：能力沉淀，而非一次性交付", 21)
|
||||
pairs = [
|
||||
("能力沉淀","项目制交付","项目制是租大脑、人走经验走；我们是装一个永久、越用越聪明的本地大脑。", CYAN),
|
||||
("常态化","年度快照","舞弊是动态的，时序类造假正是本地 LLM + 全量数据的主场。", BLUE),
|
||||
("数据不出域","数据出域","一比特不出机房是结构性优势，让安全合规部门站在我们这边。", PURPLE),
|
||||
("共存切入","正面替代","先做以前做不动的全量穿透与常态化监控层，跑出线索、证明价值、自然扩展。", GOLD),
|
||||
]
|
||||
y = Inches(1.85); h = Inches(1.12)
|
||||
for i,(a,b,d,col) in enumerate(pairs):
|
||||
rrect(s, Inches(0.95), y, Inches(11.55), h, color=CARD if i%2 else CARD2, radius=0.07)
|
||||
rrect(s, Inches(1.15), y+Inches(0.28), Inches(2.4), Inches(0.56), color=col, radius=0.3)
|
||||
txt(s, Inches(1.15), y+Inches(0.28), Inches(2.4), Inches(0.56),
|
||||
[[(a, 14, WHITE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, Inches(3.65), y, Inches(0.7), h, [[("vs", 14, MUTE, True)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
rrect(s, Inches(4.35), y+Inches(0.28), Inches(2.2), Inches(0.56), color=BG2, line=MUTE, lw=1, radius=0.3)
|
||||
txt(s, Inches(4.35), y+Inches(0.28), Inches(2.2), Inches(0.56),
|
||||
[[(b, 13, MUTE, True)]], align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, Inches(6.75), y, Inches(5.6), h, [[(d, 12.5, LIGHT, False)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=0, line_spacing=1.12)
|
||||
y = y + h + Inches(0.13)
|
||||
differentiation()
|
||||
|
||||
|
||||
# ============== 22 实施路径（时间轴）==============
|
||||
def roadmap():
|
||||
s = new("实施 · 路径", "3 个月本地部署跑通（含同台盲测验证）", 22)
|
||||
phases = [
|
||||
("第 1 个月","算力 + 模型部署","GPU 到位；模型本地化部署；对接各业务系统；构建本地数据湖。", CYAN),
|
||||
("第 2 个月","场景微调 + 历史盲测","行业微调与场景适配；用历史数据全量重跑，与既有审计结论同台盲测。", BLUE),
|
||||
("第 3 个月","投产 + 线索闭环","正式上线；生成首批 200-500 条线索；核查反馈；规则库首轮进化。", GOLD),
|
||||
]
|
||||
# 时间轴
|
||||
rect(s, Inches(1.2), Inches(2.55), Inches(11.0), Pt(3), color=CARD2)
|
||||
W = Inches(3.7); gx = Inches(0.95)
|
||||
for i,(ph,t,d,col) in enumerate(phases):
|
||||
x = gx + i*(W+Inches(0.22))
|
||||
cx = x + W/2
|
||||
circle(s, cx-Inches(0.18), Inches(2.4), Inches(0.36), color=col)
|
||||
rrect(s, x, Inches(2.95), W, Inches(2.4), color=CARD, radius=0.07)
|
||||
rect(s, x, Inches(2.95), W, Inches(0.6), color=col)
|
||||
txt(s, x, Inches(2.95), W, Inches(0.6), [[(ph, 16, WHITE, True)]],
|
||||
align=PP_ALIGN.CENTER, anchor=MSO_ANCHOR.MIDDLE, sa=0)
|
||||
txt(s, x+Inches(0.25), Inches(3.7), W-Inches(0.5), Inches(0.5),
|
||||
[[(t, 14.5, col, True)]], sa=0)
|
||||
txt(s, x+Inches(0.25), Inches(4.2), W-Inches(0.5), Inches(1.1),
|
||||
[[(d, 12.5, LIGHT, False)]], sa=0, line_spacing=1.18)
|
||||
ny = Inches(5.7)
|
||||
rrect(s, Inches(0.95), ny, Inches(11.55), Inches(0.95), color=CARD2, radius=0.1)
|
||||
rect(s, Inches(0.95), ny, Inches(0.1), Inches(0.95), color=GOLD)
|
||||
txt(s, Inches(1.25), ny, Inches(11.1), Inches(0.95),
|
||||
[[("交付物", 14, GOLD, True)],
|
||||
[("本地 AI 审计平台 + 可进化规则库 + 已验证高价值线索 + 同台盲测成效报告。", 13, WHITE, False)]],
|
||||
anchor=MSO_ANCHOR.MIDDLE, sa=3)
|
||||
roadmap()
|
||||
|
||||
|
||||
# ============== 23 结尾 ==============
|
||||
def closing():
|
||||
s = prs.slides.add_slide(BLANK)
|
||||
bg_gradient(s, RGBColor(0x07,0x10,0x24), RGBColor(0x10,0x29,0x52))
|
||||
circle(s, Inches(-1.5), Inches(4.5), Inches(4.5), color=RGBColor(0x10,0x24,0x48))
|
||||
circle(s, Inches(10.5), Inches(-1.5), Inches(4.5), color=RGBColor(0x10,0x24,0x48))
|
||||
rect(s, 0, 0, SW, Inches(0.18), grad=(CYAN, BLUE))
|
||||
rect(s, 0, Inches(7.32), SW, Inches(0.18), grad=(BLUE, CYAN))
|
||||
txt(s, Inches(1.0), Inches(2.0), Inches(11.3), Inches(1.2),
|
||||
[[("数据不动 · AI 动脑 · 造假者跑不掉", 40, WHITE, True)]], align=PP_ALIGN.CENTER, sa=0)
|
||||
rect(s, Inches(5.4), Inches(3.25), Inches(2.5), Pt(3), color=CYAN)
|
||||
txt(s, Inches(1.0), Inches(3.5), Inches(11.3), Inches(0.7),
|
||||
[[("本地大模型 + 全量穿透 + 规则进化 = 运营商内审的“新质生产力”", 19, CYAN, True)]],
|
||||
align=PP_ALIGN.CENTER, sa=0)
|
||||
txt(s, Inches(1.0), Inches(4.5), Inches(11.3), Inches(1.2),
|
||||
[[("让我们把千问 70B 装进您的机房", 17, LIGHT, False)],
|
||||
[("150 亿业务全量扫描，敏感数据一比特不出域", 17, LIGHT, False)]],
|
||||
align=PP_ALIGN.CENTER, sa=8)
|
||||
txt(s, Inches(1.0), Inches(6.3), Inches(11.3), Inches(0.5),
|
||||
[[("2026 年 6 月", 13, MUTE, False)]], align=PP_ALIGN.CENTER, sa=0)
|
||||
closing()
|
||||
|
||||
|
||||
out = "数据不出域，审计全穿透_精美版.pptx"
|
||||
prs.save(out)
|
||||
print("saved:", out, "slides:", len(prs.slides._sldIdLst))
|
||||
Reference in New Issue
Block a user