chore: sync profile metrics [skip ci]

.gitea/workflows/update-readme.yaml

@@ -3,6 +3,7 @@ on:
   push:
     paths:
       - 'public/code-stats.json'
+      - 'public/heatmap.json'
   workflow_dispatch:
 
 jobs:
@@ -26,6 +27,11 @@ jobs:
             elif command -v apt-get &> /dev/null; then apt-get update && apt-get install -y jq; fi
           fi
 
+          if ! command -v python3 &> /dev/null; then
+            if command -v apk &> /dev/null; then apk add --no-cache python3;
+            elif command -v apt-get &> /dev/null; then apt-get update && apt-get install -y python3; fi
+          fi
+
           # Use our own heatmap.json instead of Gitea API
           HEATMAP_FILE="public/heatmap.json"
           TOTAL_COMMITS=$(jq '[.days[] | .count] | add' "$HEATMAP_FILE")
@@ -37,6 +43,8 @@ jobs:
           FORMATTED_LOC=$(printf "%'d" $LOC)
           echo "FORMATTED_LOC=$FORMATTED_LOC" >> $GITHUB_ENV
 
+          python3 scripts/generate_heatmap_svg.py public/heatmap.json public/heatmap.svg
+
           sed "s/REPLACE_ME_LOC/$FORMATTED_LOC/g" README.template | \
           sed "s/REPLACE_ME_COMMITS/$TOTAL_COMMITS/g" > README.md
 
@@ -44,11 +52,11 @@ jobs:
         run: |
           git config user.name "Ares-Bot"
           git config user.email "ares@beane.me"
-          git add README.md
+          git add README.md public/heatmap.svg
 
           if git diff --staged --quiet; then
             echo "No changes to commit"
           else
-            git commit -m "chore: sync code velocity to ${{ env.FORMATTED_LOC }} LOC [skip ci]"
+            git commit -m "chore: sync profile metrics [skip ci]"
             git push http://patrick:${{ secrets.PAT_TOKEN }}@gitea-http:3000/${{ github.repository }}.git ${{ github.ref_name }}
           fi

README.md

@@ -1,122 +1,120 @@
-# 🛡️ Patrick Beane
+# Patrick Beane
 
-**SRE | Security Engineer | Self-Hosted Infra & Detection**
+**Infrastructure & Security Engineer | SRE | Cloud-Native Platforms**
 
-I design and operate **security-first, self-hosted infrastructure** focused on detection, resilience, and sovereignty.  
-My lab functions as a live production environment where threat intelligence, automation, and reliability engineering intersect.
+I design and operate a self-directed production infrastructure platform focused on security automation, reliability engineering, observability, vulnerability management, and recoverability.
+
+The environment spans Kubernetes, Linux, multi-cloud infrastructure, identity controls, threat detection, backup verification, and public operational dashboards. My goal is to build systems that are secure-by-default, observable in production, and recoverable under failure.
 
 ---
 
-## 🛰 The Fleet (10 Nodes)
+## Production Infrastructure Overview
 
-> This environment blends production, research, and continuous experimentation.
-> Availability and controls are intentionally tuned per node role.
+This environment blends production operations, security research, and continuous infrastructure improvement. Services are distributed across cloud and self-hosted nodes, with each node scoped to a specific operational role to reduce blast radius and simplify ownership.
 
-| Node | Role | Specs | Status |
-| :--- | :--- | :--- | :--- |
-| **Argus** | SIEM / Brain / node-health Failover | Xeon E5-2660v2 (1 core) | 🟢 Online |
-| **Triton** | High Performance Compute | EPYC 9634 (8 cores) | 🟢 Online |
-| **Ares** | Gitea / Kubernetes Management Node (MicroK8s) | Ryzen 9 9950X (8 cores) | 🟢 Online |
-| **Zephyrus** | Container Host | Ryzen 9 7950X (4 cores) | 🟢 Online |
-| **Iris** | NGINX / PHP Edge | Vultr | 🟢 Online |
-| **Vault** | Secrets Management | GCP (Vaultwarden) | 🟢 Online |
-| **Apollo** | Intel Dashboard (Flask) | AWS | 🟢 Online |
-| **Hermes** | Public API (Frontend) | Oracle Cloud | 🟢 Online |
-| **Hades** | Public API (Backend) | Oracle Cloud | 🟢 Online |
-| **Zeus** | Monitoring / Metrics NOC | Xeon Gold 6150 (1 core) | 🟢 Online |
+| Node | Primary Role | Function |
+| :--- | :--- | :--- |
+| **Argus** | Security telemetry and failover automation | Threat detection, event correlation, and node-health automation |
+| **Triton** | Observability and internal tooling | Prometheus, Grafana, Authelia, code-server, CrowdSec bouncers |
+| **Ares** | Kubernetes and source control | Gitea, PostgreSQL, Valkey, CI runners, Kubernetes control plane |
+| **Zephyrus** | Container hosting | Docker workloads and service hosting |
+| **Iris** | Edge services | NGINX/PHP ingress and public-facing services |
+| **Vault** | Secrets and identity-adjacent services | Vaultwarden and protected internal services |
+| **Apollo** | Threat intelligence dashboard | Flask-based analytics and reporting |
+| **Hermes** | Public API frontend | Public API and frontend service layer |
+| **Hades** | Public API backend | Backend service support for public APIs |
+| **Zeus** | Monitoring and metrics | Centralized observability and service-health tracking |
 
 ---
 
-## 🌐 Infrastructure Strategy
+## Infrastructure Strategy
 
-- **Compute Layer:** Zen 5 (9950X), Zen 4 (7950X), EPYC 9634 for sustained workloads.
-- **Edge Layer:** Oracle Cloud & Vultr for low-latency public ingress.
-- **Sentinel Layer:** **Argus SIEM** correlating telemetry and enforcing distributed decisions across nodes.
-- **Observability:** Zeus as the centralized NOC and metrics authority.
+- **Compute layer:** Heterogeneous self-hosted and cloud infrastructure scoped by workload type
+- **Edge layer:** Cloud and VPS ingress for public services and low-latency routing
+- **Security telemetry:** Multi-node detection and mitigation workflows using CrowdSec and custom automation
+- **Observability:** Centralized monitoring with Prometheus, Grafana, Netdata, exporters, and public dashboards
+- **Resilience:** Automated health checks, DNS failover, backup verification, and role-scoped service design
 
 ---
 
-## 🛡️ Detection & Response Lifecycle
+## Security Detection and Response
 
-- **Triage:** Telemetry ingested from 7 active nodes into the Argus engine.
-- **Escalation:** Post-exploitation indicators (e.g. webshells) trigger immediate `PERM_BAN`.
-- **Retention:** 
-  - 24 hours for lower confidence scenarios  
-  - 14 days for high-confidence IOCs  
-  - 7 days for offender watchlist
-- **Notification:** High-severity events dynamically pushed to Discord.
+Security controls are integrated directly into the platform rather than handled as one-off manual checks.
+
+Current detection and response patterns include:
+
+- Telemetry ingestion from 7 active nodes
+- CrowdSec-based detection and mitigation
+- MITRE ATT&CK mapping for selected security events
+- Escalation logic for high-confidence indicators
+- Watchlist and retention policies based on event confidence
+- High-severity event notifications through Discord
+- Runtime visibility through public and private dashboards
 
 ---
 
-## 🛠 The Arsenal
+## Technical Stack
 
-**Languages:** Python (Flask, Gunicorn), Bash, JavaScript (React, Node.js)  
-**Infrastructure:** Kubernetes (K8s), Docker, Caddy, NGINX  
-**Security:** Argus (Custom SIEM), CrowdSec, Trivy, SQLite, Vaultwarden  
-**Observability:** Prometheus, Blackbox Exporter, Node Exporter      
-**Backups:** Borgmatic, Rsync.net (Encrypted Offsite)
+**Languages:** Python, Bash, JavaScript, React, Node.js  
+**Infrastructure:** Kubernetes, Docker, Caddy, NGINX, Linux  
+**Security:** CrowdSec, Trivy, Authelia, OIDC, MFA, Fail2Ban, Vaultwarden  
+**Cloud and Networking:** AWS, GCP, Oracle Cloud, Vultr, Cloudflare, DNS automation  
+**Observability:** Prometheus, Grafana, Netdata, Blackbox Exporter, Node Exporter, cAdvisor  
+**Backups:** Borgmatic, encrypted offsite backups, restore verification  
+**CI/CD and Source Control:** Git, GitHub Actions, Gitea, container image scanning  
+**Infrastructure as Code:** Terraform  
 
 ---
 
-### 🧠 Supporting Tooling & Concepts
+## Operational Metrics
 
-Actively used across this environment or in adjacent projects:
-
-- **Security & Identity:** Fail2Ban, MITRE ATT&CK mapping, OIDC, Authelia, MFA, TLS hardening
-- **Infrastructure & Cloud:** Linux (Debian/Ubuntu), Terraform, AWS, GCP, Oracle Cloud, Vultr
-- **CI / Ops:** Git, GitHub Actions, container image scanning  
-- **Observability (Extended):** Grafana, Netdata  
+Current platform highlights:
 
+- 10-node distributed infrastructure environment
+- 7-node security telemetry and detection footprint
+- `144386` lines of custom code across infrastructure, security, and automation projects
+- `1578` commits since January 1 across active repositories
+- Automated failover between AWS and peer infrastructure
+- Public dashboards for uptime, vulnerabilities, backups, threat telemetry, and service health
+- Multiple daily encrypted Borgmatic snapshots shipped offsite
+- Recurring backup verification and restore-oriented operational workflows
+- Nightly metrics refresh via Gitea Actions and `tokei`
 
 ---
 
-## ⚡ Efficiency Metrics
+## Activity
 
-- **Codebase Growth:** `47495` lines of custom code across all our repositories
-- **Commit Velocity:** `964` commits since Jan 1
-- **Ares:** Ryzen 9 9950X sustaining ~0.06 load avg while running Gitea and a Kubernetes control plane
-- **Resilience:** Automated failover between AWS and peer nodes
+![Commit heatmap](public/heatmap.svg)
 
 ---
 
-### 🧩 Deployment Patterns
-- **Reverse Proxy:** Caddy/NGINX (Cloudflare where applicable)
-- **Observability:** Prometheus + Node Exporter + cAdvisor
-- **Lifecycle:** Watchtower for controlled auto-updates
-- **Access Control:** Authelia where exposed
-- **Management:** Portainer (loopback-bound where possible)
+## Deployment Patterns
 
-> Nodes are intentionally heterogeneous.  
-> Each host is scoped to its role to reduce blast radius and cognitive load.
+- **Reverse proxy:** Caddy and NGINX, with Cloudflare where applicable
+- **Observability:** Prometheus, Grafana, Node Exporter, Blackbox Exporter, cAdvisor, Netdata
+- **Access control:** Authelia, OIDC, MFA, TLS hardening, and protected reverse-proxy routes
+- **Lifecycle management:** Controlled container updates and service monitoring
+- **Service isolation:** Nodes scoped by role to reduce blast radius and simplify recovery
+- **Backup strategy:** Encrypted offsite backups with recurring verification
 
 ---
 
-#### 📍 Triton
-Primary high-density services node running:
-- Prometheus + Grafana
-- Code-server
-- Authelia
-- Trilium
-- CrowdSec bouncers
+## Selected Public Projects
 
-Optimized for sustained workloads and observability aggregation.
+- **Portfolio:** [beane.me](https://beane.me)
+- **Threat Decisions and Telemetry:** [threats.beane.me](https://threats.beane.me)
+- **Threat Intelligence and Analytics:** [intel.beane.me](https://intel.beane.me)
+- **Vulnerability Scanning and Trends:** [vuln.beane.me](https://vuln.beane.me)
+- **Backup and Restore Verification:** [backups.beane.me](https://backups.beane.me)
+- **Threat Decision Observability:** [observe.beane.me](https://observe.beane.me)
+- **Health and Failover Dashboard:** [health.beane.me](https://health.beane.me)
+- **Source Control:** [git.beane.me](https://git.beane.me)
+- **Terraform Threat Modeling:** [tfstride.beane.me](https://tfstride.beane.me)
 
 ---
 
-### 🔗 Live Projects
-- **Threat Decisions & Telemetry:** `threats.beane.me`
-- **Threat Intelligence & Analytics:** `intel.beane.me`
-- **Vulnerability Scanning (Trivy):** `vuln.beane.me`
-- **Backups & Restore Verification:** `backups.beane.me`
-- **Threat Decision Observability:** `observe.beane.me`
-- **Source Control (Gitea + K8s):** `git.beane.me`
+## Engineering Philosophy
 
----
+Production systems should be observable, automated, recoverable, and secure from the start.
 
-## 🚜 Resource Management
-
-- **Compute Density:** Kubernetes control plane with Postgres and CI workloads on Zen 5 hardware
-- **Sovereignty:** All code, telemetry, and backups remain self-hosted
-- **Backups:** Multiple daily encrypted Borgmatic snapshots shipped offsite
-
-> *"If it's not blocked, it just hasn't found our infrastructure yet."*
+I focus on infrastructure that explains itself: clear telemetry, deterministic automation, evidence-backed security findings, documented recovery paths, and controls that improve reliability without slowing delivery.

README.template

@@ -1,122 +1,120 @@
-# 🛡️ Patrick Beane
+# Patrick Beane
 
-**SRE | Security Engineer | Self-Hosted Infra & Detection**
+**Infrastructure & Security Engineer | SRE | Cloud-Native Platforms**
 
-I design and operate **security-first, self-hosted infrastructure** focused on detection, resilience, and sovereignty.  
-My lab functions as a live production environment where threat intelligence, automation, and reliability engineering intersect.
+I design and operate a self-directed production infrastructure platform focused on security automation, reliability engineering, observability, vulnerability management, and recoverability.
+
+The environment spans Kubernetes, Linux, multi-cloud infrastructure, identity controls, threat detection, backup verification, and public operational dashboards. My goal is to build systems that are secure-by-default, observable in production, and recoverable under failure.
 
 ---
 
-## 🛰 The Fleet (10 Nodes)
+## Production Infrastructure Overview
 
-> This environment blends production, research, and continuous experimentation.
-> Availability and controls are intentionally tuned per node role.
+This environment blends production operations, security research, and continuous infrastructure improvement. Services are distributed across cloud and self-hosted nodes, with each node scoped to a specific operational role to reduce blast radius and simplify ownership.
 
-| Node | Role | Specs | Status |
-| :--- | :--- | :--- | :--- |
-| **Argus** | SIEM / Brain / node-health Failover | Xeon E5-2660v2 (1 core) | 🟢 Online |
-| **Triton** | High Performance Compute | EPYC 9634 (8 cores) | 🟢 Online |
-| **Ares** | Gitea / Kubernetes Management Node (MicroK8s) | Ryzen 9 9950X (8 cores) | 🟢 Online |
-| **Zephyrus** | Container Host | Ryzen 9 7950X (4 cores) | 🟢 Online |
-| **Iris** | NGINX / PHP Edge | Vultr | 🟢 Online |
-| **Vault** | Secrets Management | GCP (Vaultwarden) | 🟢 Online |
-| **Apollo** | Intel Dashboard (Flask) | AWS | 🟢 Online |
-| **Hermes** | Public API (Frontend) | Oracle Cloud | 🟢 Online |
-| **Hades** | Public API (Backend) | Oracle Cloud | 🟢 Online |
-| **Zeus** | Monitoring / Metrics NOC | Xeon Gold 6150 (1 core) | 🟢 Online |
+| Node | Primary Role | Function |
+| :--- | :--- | :--- |
+| **Argus** | Security telemetry and failover automation | Threat detection, event correlation, and node-health automation |
+| **Triton** | Observability and internal tooling | Prometheus, Grafana, Authelia, code-server, CrowdSec bouncers |
+| **Ares** | Kubernetes and source control | Gitea, PostgreSQL, Valkey, CI runners, Kubernetes control plane |
+| **Zephyrus** | Container hosting | Docker workloads and service hosting |
+| **Iris** | Edge services | NGINX/PHP ingress and public-facing services |
+| **Vault** | Secrets and identity-adjacent services | Vaultwarden and protected internal services |
+| **Apollo** | Threat intelligence dashboard | Flask-based analytics and reporting |
+| **Hermes** | Public API frontend | Public API and frontend service layer |
+| **Hades** | Public API backend | Backend service support for public APIs |
+| **Zeus** | Monitoring and metrics | Centralized observability and service-health tracking |
 
 ---
 
-## 🌐 Infrastructure Strategy
+## Infrastructure Strategy
 
-- **Compute Layer:** Zen 5 (9950X), Zen 4 (7950X), EPYC 9634 for sustained workloads.
-- **Edge Layer:** Oracle Cloud & Vultr for low-latency public ingress.
-- **Sentinel Layer:** **Argus SIEM** correlating telemetry and enforcing distributed decisions across nodes.
-- **Observability:** Zeus as the centralized NOC and metrics authority.
+- **Compute layer:** Heterogeneous self-hosted and cloud infrastructure scoped by workload type
+- **Edge layer:** Cloud and VPS ingress for public services and low-latency routing
+- **Security telemetry:** Multi-node detection and mitigation workflows using CrowdSec and custom automation
+- **Observability:** Centralized monitoring with Prometheus, Grafana, Netdata, exporters, and public dashboards
+- **Resilience:** Automated health checks, DNS failover, backup verification, and role-scoped service design
 
 ---
 
-## 🛡️ Detection & Response Lifecycle
+## Security Detection and Response
 
-- **Triage:** Telemetry ingested from 7 active nodes into the Argus engine.
-- **Escalation:** Post-exploitation indicators (e.g. webshells) trigger immediate `PERM_BAN`.
-- **Retention:** 
-  - 24 hours for lower confidence scenarios  
-  - 14 days for high-confidence IOCs  
-  - 7 days for offender watchlist
-- **Notification:** High-severity events dynamically pushed to Discord.
+Security controls are integrated directly into the platform rather than handled as one-off manual checks.
+
+Current detection and response patterns include:
+
+- Telemetry ingestion from 7 active nodes
+- CrowdSec-based detection and mitigation
+- MITRE ATT&CK mapping for selected security events
+- Escalation logic for high-confidence indicators
+- Watchlist and retention policies based on event confidence
+- High-severity event notifications through Discord
+- Runtime visibility through public and private dashboards
 
 ---
 
-## 🛠 The Arsenal
+## Technical Stack
 
-**Languages:** Python (Flask, Gunicorn), Bash, JavaScript (React, Node.js)  
-**Infrastructure:** Kubernetes (K8s), Docker, Caddy, NGINX  
-**Security:** Argus (Custom SIEM), CrowdSec, Trivy, SQLite, Vaultwarden  
-**Observability:** Prometheus, Blackbox Exporter, Node Exporter      
-**Backups:** Borgmatic, Rsync.net (Encrypted Offsite)
+**Languages:** Python, Bash, JavaScript, React, Node.js  
+**Infrastructure:** Kubernetes, Docker, Caddy, NGINX, Linux  
+**Security:** CrowdSec, Trivy, Authelia, OIDC, MFA, Fail2Ban, Vaultwarden  
+**Cloud and Networking:** AWS, GCP, Oracle Cloud, Vultr, Cloudflare, DNS automation  
+**Observability:** Prometheus, Grafana, Netdata, Blackbox Exporter, Node Exporter, cAdvisor  
+**Backups:** Borgmatic, encrypted offsite backups, restore verification  
+**CI/CD and Source Control:** Git, GitHub Actions, Gitea, container image scanning  
+**Infrastructure as Code:** Terraform  
 
 ---
 
-### 🧠 Supporting Tooling & Concepts
+## Operational Metrics
 
-Actively used across this environment or in adjacent projects:
-
-- **Security & Identity:** Fail2Ban, MITRE ATT&CK mapping, OIDC, Authelia, MFA, TLS hardening
-- **Infrastructure & Cloud:** Linux (Debian/Ubuntu), Terraform, AWS, GCP, Oracle Cloud, Vultr
-- **CI / Ops:** Git, GitHub Actions, container image scanning  
-- **Observability (Extended):** Grafana, Netdata  
+Current platform highlights:
 
+- 10-node distributed infrastructure environment
+- 7-node security telemetry and detection footprint
+- `REPLACE_ME_LOC` lines of custom code across infrastructure, security, and automation projects
+- `REPLACE_ME_COMMITS` commits since January 1 across active repositories
+- Automated failover between AWS and peer infrastructure
+- Public dashboards for uptime, vulnerabilities, backups, threat telemetry, and service health
+- Multiple daily encrypted Borgmatic snapshots shipped offsite
+- Recurring backup verification and restore-oriented operational workflows
+- Nightly metrics refresh via Gitea Actions and `tokei`
 
 ---
 
-## ⚡ Efficiency Metrics
+## Activity
 
-- **Codebase Growth:** `REPLACE_ME_LOC` lines of custom code across all our repositories
-- **Commit Velocity:** `REPLACE_ME_COMMITS` commits since Jan 1
-- **Ares:** Ryzen 9 9950X sustaining ~0.06 load avg while running Gitea and a Kubernetes control plane
-- **Resilience:** Automated failover between AWS and peer nodes
+![Commit heatmap](public/heatmap.svg)
 
 ---
 
-### 🧩 Deployment Patterns
-- **Reverse Proxy:** Caddy/NGINX (Cloudflare where applicable)
-- **Observability:** Prometheus + Node Exporter + cAdvisor
-- **Lifecycle:** Watchtower for controlled auto-updates
-- **Access Control:** Authelia where exposed
-- **Management:** Portainer (loopback-bound where possible)
+## Deployment Patterns
 
-> Nodes are intentionally heterogeneous.  
-> Each host is scoped to its role to reduce blast radius and cognitive load.
+- **Reverse proxy:** Caddy and NGINX, with Cloudflare where applicable
+- **Observability:** Prometheus, Grafana, Node Exporter, Blackbox Exporter, cAdvisor, Netdata
+- **Access control:** Authelia, OIDC, MFA, TLS hardening, and protected reverse-proxy routes
+- **Lifecycle management:** Controlled container updates and service monitoring
+- **Service isolation:** Nodes scoped by role to reduce blast radius and simplify recovery
+- **Backup strategy:** Encrypted offsite backups with recurring verification
 
 ---
 
-#### 📍 Triton
-Primary high-density services node running:
-- Prometheus + Grafana
-- Code-server
-- Authelia
-- Trilium
-- CrowdSec bouncers
+## Selected Public Projects
 
-Optimized for sustained workloads and observability aggregation.
+- **Portfolio:** [beane.me](https://beane.me)
+- **Threat Decisions and Telemetry:** [threats.beane.me](https://threats.beane.me)
+- **Threat Intelligence and Analytics:** [intel.beane.me](https://intel.beane.me)
+- **Vulnerability Scanning and Trends:** [vuln.beane.me](https://vuln.beane.me)
+- **Backup and Restore Verification:** [backups.beane.me](https://backups.beane.me)
+- **Threat Decision Observability:** [observe.beane.me](https://observe.beane.me)
+- **Health and Failover Dashboard:** [health.beane.me](https://health.beane.me)
+- **Source Control:** [git.beane.me](https://git.beane.me)
+- **Terraform Threat Modeling:** [tfstride.beane.me](https://tfstride.beane.me)
 
 ---
 
-### 🔗 Live Projects
-- **Threat Decisions & Telemetry:** `threats.beane.me`
-- **Threat Intelligence & Analytics:** `intel.beane.me`
-- **Vulnerability Scanning (Trivy):** `vuln.beane.me`
-- **Backups & Restore Verification:** `backups.beane.me`
-- **Threat Decision Observability:** `observe.beane.me`
-- **Source Control (Gitea + K8s):** `git.beane.me`
+## Engineering Philosophy
 
----
+Production systems should be observable, automated, recoverable, and secure from the start.
 
-## 🚜 Resource Management
-
-- **Compute Density:** Kubernetes control plane with Postgres and CI workloads on Zen 5 hardware
-- **Sovereignty:** All code, telemetry, and backups remain self-hosted
-- **Backups:** Multiple daily encrypted Borgmatic snapshots shipped offsite
-
-> *"If it's not blocked, it just hasn't found our infrastructure yet."*
+I focus on infrastructure that explains itself: clear telemetry, deterministic automation, evidence-backed security findings, documented recovery paths, and controls that improve reliability without slowing delivery.

public/code-stats.json

@@ -1,6 +1,6 @@
 {
-  "generated_at": "2026-04-04T14:22:48Z",
-  "total_code": 47495,
-  "total_comments": 4303,
-  "total_blanks": 8037
+  "generated_at": "2026-06-22T05:50:01Z",
+  "total_code": 144386,
+  "total_comments": 9578,
+  "total_blanks": 21773
 }

public/heatmap.json

@@ -1,326 +1,10 @@
 {
-  "generated_at": "2026-04-04T14:22:47Z",
-  "from_date": "2025-04-05",
-  "to_date": "2026-04-04",
-  "total_commits": 964,
-  "max_daily_commits": 56,
+  "generated_at": "2026-06-22T05:50:01Z",
+  "from_date": "2025-06-23",
+  "to_date": "2026-06-22",
+  "total_commits": 1578,
+  "max_daily_commits": 86,
   "days": [
-    {
-      "date": "2025-04-05",
-      "count": 0
-    },
-    {
-      "date": "2025-04-06",
-      "count": 0
-    },
-    {
-      "date": "2025-04-07",
-      "count": 0
-    },
-    {
-      "date": "2025-04-08",
-      "count": 0
-    },
-    {
-      "date": "2025-04-09",
-      "count": 0
-    },
-    {
-      "date": "2025-04-10",
-      "count": 0
-    },
-    {
-      "date": "2025-04-11",
-      "count": 0
-    },
-    {
-      "date": "2025-04-12",
-      "count": 0
-    },
-    {
-      "date": "2025-04-13",
-      "count": 0
-    },
-    {
-      "date": "2025-04-14",
-      "count": 0
-    },
-    {
-      "date": "2025-04-15",
-      "count": 0
-    },
-    {
-      "date": "2025-04-16",
-      "count": 0
-    },
-    {
-      "date": "2025-04-17",
-      "count": 0
-    },
-    {
-      "date": "2025-04-18",
-      "count": 0
-    },
-    {
-      "date": "2025-04-19",
-      "count": 0
-    },
-    {
-      "date": "2025-04-20",
-      "count": 0
-    },
-    {
-      "date": "2025-04-21",
-      "count": 0
-    },
-    {
-      "date": "2025-04-22",
-      "count": 0
-    },
-    {
-      "date": "2025-04-23",
-      "count": 0
-    },
-    {
-      "date": "2025-04-24",
-      "count": 0
-    },
-    {
-      "date": "2025-04-25",
-      "count": 0
-    },
-    {
-      "date": "2025-04-26",
-      "count": 0
-    },
-    {
-      "date": "2025-04-27",
-      "count": 0
-    },
-    {
-      "date": "2025-04-28",
-      "count": 0
-    },
-    {
-      "date": "2025-04-29",
-      "count": 0
-    },
-    {
-      "date": "2025-04-30",
-      "count": 0
-    },
-    {
-      "date": "2025-05-01",
-      "count": 0
-    },
-    {
-      "date": "2025-05-02",
-      "count": 0
-    },
-    {
-      "date": "2025-05-03",
-      "count": 0
-    },
-    {
-      "date": "2025-05-04",
-      "count": 0
-    },
-    {
-      "date": "2025-05-05",
-      "count": 0
-    },
-    {
-      "date": "2025-05-06",
-      "count": 0
-    },
-    {
-      "date": "2025-05-07",
-      "count": 0
-    },
-    {
-      "date": "2025-05-08",
-      "count": 0
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scripts/generate_heatmap_svg.py

@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+import json
+import math
+import sys
+from datetime import datetime, timedelta
+from pathlib import Path
+
+
+COLORS = [
+    "#ebedf0",
+    "#9be9a8",
+    "#40c463",
+    "#30a14e",
+    "#216e39",
+]
+
+CELL = 12
+GAP = 2
+RECT = CELL - GAP
+LEFT_PAD = 30
+TOP_PAD = 20
+RIGHT_PAD = 10
+BOTTOM_PAD = 10
+FONT_FAMILY = "-apple-system,BlinkMacSystemFont,Segoe UI,Helvetica,Arial,sans-serif"
+LABEL_COLOR = "#57606a"
+
+
+def load_heatmap(path):
+    with path.open() as handle:
+        return json.load(handle)
+
+
+def date_range(start, end):
+    current = start
+    while current <= end:
+        yield current
+        current += timedelta(days=1)
+
+
+def previous_sunday(day):
+    return day - timedelta(days=(day.weekday() + 1) % 7)
+
+
+def next_saturday(day):
+    return day + timedelta(days=(5 - day.weekday()) % 7)
+
+
+def intensity(count, max_count):
+    if count <= 0 or max_count <= 0:
+        return 0
+    return max(1, min(4, math.ceil((count / max_count) * 4)))
+
+
+def weekday_row(day):
+    return (day.weekday() + 1) % 7
+
+
+def month_labels(grid_start, visible_start, grid_end):
+    labels = []
+    total_weeks = ((grid_end - grid_start).days // 7) + 1
+    first_visible_month = visible_start.strftime("%b")
+    first_visible_week = ((visible_start - grid_start).days // 7)
+
+    for week in range(total_weeks):
+        week_start = grid_start + timedelta(days=week * 7)
+        label = None
+
+        for offset in range(7):
+            day = week_start + timedelta(days=offset)
+            if day < visible_start:
+                continue
+
+            if day.day == 1:
+                label = day.strftime("%b")
+                break
+
+        if week == first_visible_week and not labels:
+            next_month_close = False
+            for future_week in range(week + 1, min(week + 3, total_weeks)):
+                future_start = grid_start + timedelta(days=future_week * 7)
+                for offset in range(7):
+                    day = future_start + timedelta(days=offset)
+                    if day >= visible_start and day.day == 1:
+                        next_month_close = True
+                        break
+                if next_month_close:
+                    break
+
+            if not next_month_close:
+                label = first_visible_month
+
+        if label is not None:
+            if not labels or labels[-1][1] != label:
+                labels.append((week, label))
+
+    return labels
+
+
+def build_rect(day, start, counts, max_count):
+    date_str = day.isoformat()
+    count = counts.get(date_str, 0)
+    level = intensity(count, max_count)
+    x = LEFT_PAD + (((day - start).days // 7) * CELL)
+    y = TOP_PAD + (weekday_row(day) * CELL)
+
+    commit_label = "commit" if count == 1 else "commits"
+
+    return (
+        f'<rect x="{x}" y="{y}" width="{RECT}" height="{RECT}" rx="2" ry="2" '
+        f'fill="{COLORS[level]}">'
+        f"<title>{date_str}: {count} {commit_label}</title>"
+        "</rect>"
+    )
+
+
+def generate_svg(data):
+    counts = {entry["date"]: entry["count"] for entry in data["days"]}
+    max_count = data["max_daily_commits"]
+
+    start = datetime.strptime(data["from_date"], "%Y-%m-%d").date()
+    end = datetime.strptime(data["to_date"], "%Y-%m-%d").date()
+    aligned_start = previous_sunday(start)
+    aligned_end = next_saturday(end)
+    weeks = ((aligned_end - aligned_start).days // 7) + 1
+
+    width = LEFT_PAD + (weeks * CELL) + RIGHT_PAD
+    height = TOP_PAD + (7 * CELL) + BOTTOM_PAD
+
+    svg = [
+        f'<svg width="{width}" height="{height}" viewBox="0 0 {width} {height}" '
+        'xmlns="http://www.w3.org/2000/svg" role="img" aria-label="Commit activity heatmap">',
+        '<style>',
+        f'text {{ font: 10px {FONT_FAMILY}; fill: {LABEL_COLOR}; }}',
+        '</style>',
+    ]
+
+    for week, label in month_labels(aligned_start, start, aligned_end):
+        x = LEFT_PAD + (week * CELL)
+        svg.append(f'<text x="{x}" y="10">{label}</text>')
+
+    for label, row in (("Mon", 1), ("Wed", 3), ("Fri", 5)):
+        y = TOP_PAD + (row * CELL) + 8
+        svg.append(f'<text x="0" y="{y}">{label}</text>')
+
+    for day in date_range(aligned_start, aligned_end):
+        svg.append(build_rect(day, aligned_start, counts, max_count))
+
+    svg.append("</svg>")
+    return "\n".join(svg) + "\n"
+
+
+def main():
+    if len(sys.argv) not in {2, 3}:
+        print(
+            "Usage: generate_heatmap_svg.py <heatmap.json> [output.svg]",
+            file=sys.stderr,
+        )
+        return 1
+
+    input_path = Path(sys.argv[1])
+    output = generate_svg(load_heatmap(input_path))
+
+    if len(sys.argv) == 3:
+        output_path = Path(sys.argv[2])
+        output_path.parent.mkdir(parents=True, exist_ok=True)
+        output_path.write_text(output)
+    else:
+        sys.stdout.write(output)
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())