| import sys |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[2] |
| if str(ROOT) not in sys.path: |
| sys.path.insert(0, str(ROOT)) |
|
|
| from ppt_agent.server.tools.pptx_tools import ( |
| create_presentation, |
| create_slide, |
| register_theme, |
| save_presentation, |
| ) |
|
|
| OUTPUT_DIR = ROOT / "outputs" / "test_slides" |
|
|
|
|
| def build_modern_business_deck(output_path: Path): |
| editor = create_presentation() |
| register_theme( |
| editor, |
| { |
| "bg": "#F6F9FC", |
| "surface": "#FFFFFF", |
| "accent": "#0F62FE", |
| "primary": "#102A43", |
| "secondary": "#486581", |
| "font": "Aptos", |
| "title_size": 28, |
| "section_size": 22, |
| "body_size": 16, |
| "summary_size": 18, |
| "chart_title_size": 18, |
| "table_header_size": 14, |
| "table_body_size": 12, |
| "citation_size": 10, |
| }, |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<bg>", |
| shapes=[ |
| {"type": "accent_bar", "name": "accent", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "name": "title", |
| "text": "Northstar Growth Plan 2026", |
| "x": 0.9, |
| "y": 0.8, |
| "w": 10.5, |
| "h": 0.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<title_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "A focused strategy for revenue expansion, retention, and operational leverage.", |
| "x": 0.9, |
| "y": 1.8, |
| "w": 10.5, |
| "h": 0.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Executive Summary", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 4.5, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Expand into two adjacent verticals\nRaise enterprise retention from 88% to 93%\nReduce onboarding time by 35% with automation", |
| "x": 0.9, |
| "y": 1.6, |
| "w": 6.0, |
| "h": 2.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<summary_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Source: Internal planning memo, Q1 2026", |
| "x": 0.5, |
| "y": 6.8, |
| "w": 9.0, |
| "h": 0.4, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<citation_size>", |
| "color_hex": "<secondary>", |
| "italic": True, |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Quarterly Revenue Outlook", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 5.0, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "chart", |
| "name": "revenue_chart", |
| "chart_type": "column_clustered", |
| "chart_data": { |
| "categories": ["Q1", "Q2", "Q3", "Q4"], |
| "series": [ |
| {"name": "Baseline", "values": [18, 21, 23, 25]}, |
| {"name": "Target", "values": [19, 24, 28, 32]}, |
| ], |
| }, |
| "x": 0.9, |
| "y": 1.6, |
| "w": 7.5, |
| "h": 4.1, |
| "style": { |
| "title": "Revenue trajectory ($M)", |
| "title_font_name": "<font>", |
| "title_font_size_pt": "<chart_title_size>", |
| "title_bold": True, |
| "title_color_hex": "<primary>", |
| "legend_font_name": "<font>", |
| "legend_font_size_pt": "<table_body_size>", |
| "legend_color_hex": "<secondary>", |
| "axis_font_name": "<font>", |
| "axis_font_size_pt": "<table_body_size>", |
| "axis_color_hex": "<secondary>", |
| "series_colors": ["<secondary>", "<accent>"], |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Target upside comes from enterprise upsell and partner-sourced pipeline.", |
| "x": 8.7, |
| "y": 2.0, |
| "w": 3.2, |
| "h": 1.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Key Initiatives", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 4.5, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "table", |
| "table_data": [ |
| ["Initiative", "Owner", "Impact"], |
| ["Pricing refresh", "Revenue Ops", "+6% ARR"], |
| ["Guided onboarding", "Product", "-35% setup time"], |
| ["Partner motion", "Sales", "+$4M pipeline"], |
| ], |
| "x": 0.9, |
| "y": 1.6, |
| "w": 8.5, |
| "h": 2.5, |
| "style": { |
| "header_fill_hex": "<accent>", |
| "body_fill_hex": "#EAF2FF", |
| "header_font_name": "<font>", |
| "body_font_name": "<font>", |
| "header_font_size_pt": "<table_header_size>", |
| "body_font_size_pt": "<table_body_size>", |
| "header_font_color_hex": "#FFFFFF", |
| "body_font_color_hex": "<primary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| save_presentation(editor, output_path) |
|
|
|
|
| def build_dark_analytics_deck(output_path: Path): |
| editor = create_presentation() |
| register_theme( |
| editor, |
| { |
| "bg": "#0B1020", |
| "surface": "#131A2A", |
| "accent": "#4FD1C5", |
| "primary": "#F7FAFC", |
| "secondary": "#A0AEC0", |
| "warm": "#F6AD55", |
| "font": "Aptos Display", |
| "title_size": 30, |
| "section_size": 22, |
| "body_size": 16, |
| "summary_size": 18, |
| "chart_title_size": 18, |
| "table_header_size": 14, |
| "table_body_size": 12, |
| "citation_size": 10, |
| }, |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<bg>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Platform Reliability Deep Dive", |
| "x": 0.8, |
| "y": 0.9, |
| "w": 8.5, |
| "h": 0.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<title_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Telemetry review of latency, incident rate, and regional capacity.", |
| "x": 0.8, |
| "y": 1.9, |
| "w": 9.0, |
| "h": 0.7, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "System Status Snapshot", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 5.0, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Median latency improved by 18%\nError budget burn stabilized after week 6\nEU capacity remains the main scaling constraint", |
| "x": 0.9, |
| "y": 1.6, |
| "w": 5.8, |
| "h": 2.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<summary_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Incident Trend by Month", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 5.0, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "chart", |
| "chart_type": "line_markers", |
| "chart_data": { |
| "categories": ["Jan", "Feb", "Mar", "Apr", "May", "Jun"], |
| "series": [ |
| {"name": "P1 incidents", "values": [9, 8, 7, 5, 4, 3]}, |
| {"name": "P2 incidents", "values": [18, 17, 15, 13, 11, 10]}, |
| ], |
| }, |
| "x": 0.9, |
| "y": 1.6, |
| "w": 7.2, |
| "h": 4.2, |
| "style": { |
| "title": "Monthly incident volume", |
| "title_font_name": "<font>", |
| "title_font_size_pt": "<chart_title_size>", |
| "title_bold": True, |
| "title_color_hex": "<primary>", |
| "legend_font_name": "<font>", |
| "legend_font_size_pt": "<table_body_size>", |
| "legend_color_hex": "<secondary>", |
| "axis_font_name": "<font>", |
| "axis_font_size_pt": "<table_body_size>", |
| "axis_color_hex": "<secondary>", |
| "series_colors": ["<accent>", "<warm>"], |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "The reliability program is reducing both severity and recurrence.", |
| "x": 8.5, |
| "y": 2.1, |
| "w": 3.2, |
| "h": 1.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Regional Capacity Allocation", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 5.3, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "table", |
| "table_data": [ |
| ["Region", "Utilization", "Headroom"], |
| ["US-East", "68%", "High"], |
| ["EU-West", "87%", "Low"], |
| ["APAC", "59%", "Medium"], |
| ], |
| "x": 0.9, |
| "y": 1.6, |
| "w": 8.0, |
| "h": 2.5, |
| "style": { |
| "header_fill_hex": "<accent>", |
| "body_fill_hex": "#1B2437", |
| "header_font_name": "<font>", |
| "body_font_name": "<font>", |
| "header_font_size_pt": "<table_header_size>", |
| "body_font_size_pt": "<table_body_size>", |
| "header_font_color_hex": "<bg>", |
| "body_font_color_hex": "<primary>", |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Source: Weekly reliability metrics", |
| "x": 0.5, |
| "y": 6.8, |
| "w": 9.0, |
| "h": 0.4, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<citation_size>", |
| "color_hex": "<secondary>", |
| "italic": True, |
| }, |
| }, |
| ], |
| ) |
|
|
| save_presentation(editor, output_path) |
|
|
|
|
| def build_academic_report_deck(output_path: Path): |
| editor = create_presentation() |
| register_theme( |
| editor, |
| { |
| "bg": "#F8F5EF", |
| "surface": "#FFFDF9", |
| "accent": "#7A5C3E", |
| "primary": "#2D241D", |
| "secondary": "#6B5B4D", |
| "support": "#A3B18A", |
| "font": "Georgia", |
| "title_size": 28, |
| "section_size": 22, |
| "body_size": 16, |
| "summary_size": 18, |
| "chart_title_size": 18, |
| "table_header_size": 14, |
| "table_body_size": 12, |
| "citation_size": 10, |
| }, |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<bg>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Urban Tree Canopy Study", |
| "x": 0.9, |
| "y": 0.9, |
| "w": 8.0, |
| "h": 0.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<title_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Findings from a five-year survey of neighborhood heat resilience.", |
| "x": 0.9, |
| "y": 1.9, |
| "w": 8.8, |
| "h": 0.7, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| "italic": True, |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Research Questions", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 4.5, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "How does canopy density affect surface temperature?\nWhich districts show the largest seasonal benefit?\nWhat investments provide the fastest public-health return?", |
| "x": 0.9, |
| "y": 1.6, |
| "w": 6.3, |
| "h": 2.8, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<summary_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Cooling Effect by District", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 5.2, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "chart", |
| "chart_type": "bar_clustered", |
| "chart_data": { |
| "categories": ["North", "Central", "South", "West"], |
| "series": [ |
| {"name": "Tree cover %", "values": [32, 24, 18, 28]}, |
| {"name": "Temp reduction", "values": [5.1, 3.8, 2.6, 4.4]}, |
| ], |
| }, |
| "x": 0.9, |
| "y": 1.6, |
| "w": 7.4, |
| "h": 4.0, |
| "style": { |
| "title": "Canopy coverage and cooling effect", |
| "title_font_name": "<font>", |
| "title_font_size_pt": "<chart_title_size>", |
| "title_bold": True, |
| "title_color_hex": "<primary>", |
| "legend_font_name": "<font>", |
| "legend_font_size_pt": "<table_body_size>", |
| "legend_color_hex": "<secondary>", |
| "axis_font_name": "<font>", |
| "axis_font_size_pt": "<table_body_size>", |
| "axis_color_hex": "<secondary>", |
| "series_colors": ["<accent>", "<support>"], |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Higher canopy density consistently corresponds to lower peak pavement temperature.", |
| "x": 8.6, |
| "y": 2.0, |
| "w": 3.0, |
| "h": 2.0, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<body_size>", |
| "color_hex": "<secondary>", |
| }, |
| }, |
| ], |
| ) |
|
|
| create_slide( |
| editor, |
| background_color="<surface>", |
| shapes=[ |
| {"type": "accent_bar", "color_hex": "<accent>"}, |
| { |
| "type": "text", |
| "text": "Field Sample Summary", |
| "x": 0.8, |
| "y": 0.7, |
| "w": 4.5, |
| "h": 0.6, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<section_size>", |
| "color_hex": "<primary>", |
| "bold": True, |
| }, |
| }, |
| { |
| "type": "table", |
| "table_data": [ |
| ["District", "Sites", "Avg canopy"], |
| ["North", "18", "32%"], |
| ["Central", "21", "24%"], |
| ["South", "16", "18%"], |
| ], |
| "x": 0.9, |
| "y": 1.6, |
| "w": 7.6, |
| "h": 2.5, |
| "style": { |
| "header_fill_hex": "<accent>", |
| "body_fill_hex": "#EFE7DA", |
| "header_font_name": "<font>", |
| "body_font_name": "<font>", |
| "header_font_size_pt": "<table_header_size>", |
| "body_font_size_pt": "<table_body_size>", |
| "header_font_color_hex": "<surface>", |
| "body_font_color_hex": "<primary>", |
| }, |
| }, |
| { |
| "type": "text", |
| "text": "Source: Urban Ecology Lab, field survey dataset", |
| "x": 0.5, |
| "y": 6.8, |
| "w": 9.0, |
| "h": 0.4, |
| "style": { |
| "font_name": "<font>", |
| "font_size_pt": "<citation_size>", |
| "color_hex": "<secondary>", |
| "italic": True, |
| }, |
| }, |
| ], |
| ) |
|
|
| save_presentation(editor, output_path) |
|
|
|
|
| def main(): |
| OUTPUT_DIR.mkdir(parents=True, exist_ok=True) |
|
|
| output_paths = [ |
| OUTPUT_DIR / "presentation_modern_business.pptx", |
| OUTPUT_DIR / "presentation_dark_analytics.pptx", |
| OUTPUT_DIR / "presentation_academic_report.pptx", |
| ] |
|
|
| build_modern_business_deck(output_paths[0]) |
| build_dark_analytics_deck(output_paths[1]) |
| build_academic_report_deck(output_paths[2]) |
|
|
| for path in output_paths: |
| print(path.relative_to(ROOT)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
