docs: replace efficiency pie charts with combined bar chart and update automation

This commit is contained in:
Nubenetes Bot
2026-05-18 23:18:11 +02:00
parent 5dcab71c9c
commit f700c7e449
2 changed files with 25 additions and 11 deletions

View File

@@ -508,19 +508,23 @@ Projected monthly budget for 24/7 autonomous maintenance.
### 7.2. Efficiency and Performance Metrics
Achieves **>90% cost reduction** compared to full-Pro architectures by utilizing multi-tier caching, global concurrency semaphores, and structured batching.
<!-- EFFICIENCY_CHART_START -->
```mermaid
pie title AI Curation Cost Distribution (Standard Monthly)
"Elite Reasoning (Pro Tier)" : 75
"Bulk Enrichment (Flash Tier)" : 15
"Infrastructure Overhead" : 10
```
```mermaid
pie title Processing Strategy (By Link Volume)
"Local Metadata (Zero Cost)" : 65
"Cached AI Insights (Zero Cost)" : 25
"New AI Inference (Identity A)" : 10
---
config:
themeVariables:
xyChart:
plotColorPalette: '#3b82f6, #fb923c'
theme: mc
---
xychart-beta
title "Economic Efficiency: Cost vs. Volume Share (%)"
x-axis ["Elite / New AI", "Bulk / Cached", "Infra / Local"]
y-axis "Share (%)" 0 --> 100
bar [75, 15, 10]
bar [10, 25, 65]
```
<!-- EFFICIENCY_CHART_END -->
### 7.3. Economic Sustainability Principles
1. **Identity Rotation (Identity A/B)**: Rotates between PAYG and Subscription keys.

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@@ -137,6 +137,14 @@ def get_stats():
status = "**Agentic Inception (Gemini Era)**" if month == "2026-05" else "Active Curation"
monthly_rows.append(f"| {month} | {count} | {est_refs:,} | {status} |")
# 7. Efficiency Chart (Section 7.2)
efficiency_chart = "```mermaid\n---\nconfig:\n themeVariables:\n xyChart:\n plotColorPalette: '#3b82f6, #fb923c'\n theme: mc\n---\nxychart-beta\n title \"Economic Efficiency: Cost vs. Volume Share (%)\"\n"
efficiency_chart += " x-axis [\"Elite / New AI\", \"Bulk / Cached\", \"Infra / Local\"]\n"
efficiency_chart += " y-axis \"Share (%)\" 0 --> 100\n"
efficiency_chart += " bar [75, 15, 10]\n"
efficiency_chart += " bar [10, 25, 65]\n"
efficiency_chart += "```"
# 8. Heart Stats Table
heart_stats = [
"| Metric | Value |",
@@ -155,6 +163,7 @@ def get_stats():
"annual_growth": "\n".join(annual_rows),
"annual_chart": annual_chart,
"monthly_surge": "\n".join(monthly_rows),
"efficiency_chart": efficiency_chart,
"last_update": datetime.now().strftime("%Y-%m-%d")
}
@@ -179,6 +188,7 @@ def update_readme(stats):
content = replace_section(content, "ANNUAL_GROWTH", stats["annual_growth"])
content = replace_section(content, "ANNUAL_CHART", stats["annual_chart"])
content = replace_section(content, "MONTHLY_SURGE", stats["monthly_surge"])
content = replace_section(content, "EFFICIENCY_CHART", stats["efficiency_chart"])
content = replace_section(content, "PILLAR_CHART", stats["pillar_chart"])
content = replace_section(content, "SUB_ECO_CHART", stats["lang_chart"])