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README.md

@@ -1,6 +1,6 @@
 # TALA
 
-TALA is Terrastruct's proprietary diagram layout engine, made for
+TALA is a general-purpose diagram layout engine, made for
 [D2](https://github.com/terrastruct/d2). TALA is closed-source (for now). This repository
 is primarily for installation instructions. You can also use this repository to report
 issues, ask questions, and request features.
@@ -11,6 +11,15 @@ To learn more about TALA, please visit
 To compare TALA with other layout engines, please visit
 [https://text-to-diagram.com](https://text-to-diagram.com).
 
+## Rendering samples
+
+You can see the `.d2` text for these in [./docs/d2](./docs/d2). Samples are generated
+through the CLI ([./ci/generate_samples.sh](./docs/d2)).
+
+|<img src="./docs/assets/sample_1.svg" />|<img src="./docs/assets/sample_2.svg" />|<img src="./docs/assets/sample_3.svg" />|
+|:-------------------------:|:-------------------------:|:-------------------------:|
+|<img src="./docs/assets/sample_4.svg" />|<img src="./docs/assets/sample_5.svg" />|<img src="./docs/assets/sample_6.svg" />|
+
 ## Installation
 
 ### Prerequisites
@@ -108,9 +117,13 @@ like to remain anonymous/private, feel free to email us at info@terrastruct.com
 
 ### Does TALA use the internet?
 
-We do not collect telemetry or use the internet in any way except to ping to check the
-status of a license. This is only done when necessary, e.g. if you purchased a month
-subscription, TALA will ping at the end of that month and renew automatically if the
-subscription is ongoing. If you purchased a year, it won't ping for a year. The only data
-that's sent in these pings is the API token itself. No diagrams or anything else leaves
-your computer.
+The TALA plugin do not collect telemetry or use the internet in any way except to ping to
+check the status of a license. This is only done when necessary, e.g. if you purchased a
+month subscription, TALA will ping at the start of the next month and renew automatically
+if the subscription is ongoing. If you purchased a year, it won't ping for a year. The
+  only data that's sent in these pings is the API token itself. No diagrams or anything
+  else leaves your computer.
+
+### Others
+
+Full FAQ at [https://terrastruct.com/tala](https://terrastruct.com/tala).

ci/generate_samples.sh

@@ -0,0 +1,18 @@
+#!/bin/sh
+set -eu
+cd -- "$(dirname "$0")/.."
+
+THEME_INDEX=0
+
+# alternate between cool and warm
+themes=(0 100 1 102 4 104 5 105 6)
+
+for f in ./docs/d2/*.d2
+do
+ echo "Processing $f"
+ filename=$(basename -- "$f")
+ filename="${filename%.*}"
+ D2_LAYOUT=tala d2 --theme=${themes[$THEME_INDEX]} --debug $f ./docs/assets/${filename}.svg
+
+ let THEME_INDEX=${THEME_INDEX}+1
+done

docs/d2/sample_1.d2

@@ -0,0 +1,39 @@
+runner: JobRunner {
+  shape: class
+
+  -start: datetime
+  -end: datetime
+  -running_server: string
+  -threads: int
+  -manager: JobsManager
+  +pipeline: Pipeline
+
+  +setPipeline(Pipeline p): void
+  +kickoff(threads int): bool
+}
+
+jobsUI: JobRunner UI {
+  kickoff
+  halt
+}
+
+batch: Batch {
+  manager: BatchManager {
+    shape: class
+    -num: int
+    -timeout: int
+    -pid
+
+    +getStatus(): Enum
+    +getJobs(): "Job[]"
+    +setTimeout(seconds int)
+  }
+  systemd: Systemd
+  selenium: Selenium
+
+  systemd -> manager: Ensure alive
+  manager -> selenium: Run job
+}
+
+jobsUI -> runner: Kick off
+runner -> batch.manager: Queue jobs

docs/d2/sample_2.d2

@@ -0,0 +1,44 @@
+logs: {
+  shape: page
+  style.multiple: true
+}
+user: AT&T Customer {shape: person}
+network: Network {
+  tower: Cell Tower {
+    satellites: {
+      shape: stored_data
+      style.multiple: true
+    }
+    transmitter
+
+    satellites -> transmitter
+    satellites -> transmitter
+    satellites -> transmitter
+  }
+  processor: Data Processor {
+    storage: Storage {
+      shape: cylinder
+      style.multiple: true
+    }
+  }
+  portal: Online Portal {
+    UI
+  }
+
+  tower.transmitter -> processor: phone logs
+}
+server: API Server
+
+user -> network.tower: Make call
+network.processor -> server
+network.processor -> server
+network.processor -> server
+
+server -> logs
+server -> logs
+server -> logs: persist
+
+server -> network.portal.UI: display
+user -> network.portal.UI: access {
+  style.stroke-dash: 3
+}

docs/d2/sample_3.d2

@@ -0,0 +1,31 @@
+SSR: Server side render {
+  templates: User defined templates
+
+  tests: Validation tests
+
+  engine: Rendering Engine\n API {
+    ingestion: Ingestion module {
+      shape: hexagon
+    }
+    fetch: Data fetching module {
+      shape: hexagon
+    }
+    schema: Schema version module {
+      shape: hexagon
+    }
+  }
+  next: NextJS
+  db: Data
+
+  templates -> engine.ingestion
+  engine.fetch <-> db: Integrate user data
+  engine.schema <-> db: Get version
+
+  engine <-> tests
+}
+
+build: Final build {
+  html: Rendered HTML
+}
+
+SSR.engine -> SSR.next -> build.html

docs/d2/sample_4.d2

@@ -0,0 +1,48 @@
+payment
+
+AWS {
+  orchestrator: Orchestrator
+  airflow: Apache Airflow {
+    queue1: Queue 1 {
+      shape: queue
+    }
+    queue2: Queue 2 {
+      shape: queue
+    }
+    queue3: Queue 3 {
+      shape: queue
+    }
+    queue4: Queue 4 {
+      shape: queue
+    }
+  }
+
+  orchestrator -> airflow.queue1
+  orchestrator -> airflow.queue2
+  orchestrator -> airflow.queue3
+  orchestrator -> airflow.queue4
+}
+
+payment -> AWS.orchestrator
+
+backup: Data backup
+
+AWS.airflow.queue3 -> backup
+AWS.airflow.queue4 -> backup
+
+data: Data warehouse
+
+AWS.airflow.queue1 -> data
+AWS.airflow.queue2 -> data
+
+local: On-prem backups {
+  queue1: Queue 1 {
+    shape: queue
+  }
+  queue2: Queue 2 {
+    shape: queue
+  }
+}
+
+backup -> local.queue1
+backup -> local.queue2

docs/d2/sample_5.d2

@@ -0,0 +1,73 @@
+tenant: Offsite Tenant {
+  style.shadow: true
+
+  accountant: Accountant
+  security: Security
+  janitor: Janitor
+}
+
+tenant.accountant -> Quickbooks
+
+auditors: Auditors
+
+auditors -> Quickbooks
+auditors -> IRS
+Quickbooks -> Clients
+
+dataroom: E335 Data Room {
+  style.shadow: true
+  style.fill: "#e9edef"
+  style.stroke-width: 2
+
+  whitelist: Whitelisted Server {
+    shape: rectangle
+    style.stroke-dash: 10
+    style.stroke: "#000E3D"
+
+    routing: Routing blocker
+    headers: Add header tokens
+  }
+
+  platform: Microsoft Windows Fleet {
+    style.stroke-dash: 4
+    style.stroke: "#000E3D"
+    build
+  }
+  whitelist <-> platform: Maintain connection {style.stroke-width: 4}
+}
+
+auditors -> dataroom.platform.build
+auditors -> dataroom.whitelist.routing
+tenant.accountants -> dataroom
+
+logging: Web based logger
+
+production: Data for prod {
+  style.shadow: true
+
+  network: Network availability {
+    style.stroke-dash: 10
+    style.stroke: "#000E3D"
+
+    instances: App instances {
+      style.multiple: true
+    }
+
+    db: App DBs {
+      shape: cylinder
+    }
+
+    secrets: AWS Secrets
+
+    containers: Docker containers
+
+    instances -> db
+    instances -> secrets
+    containers -> db
+    containers -> secrets
+  }
+}
+
+dataroom.whitelist.routing -> production.network.instances
+dataroom.whitelist.headers -> production.network.instances
+production.network.instances -> backups

docs/d2/sample_6.d2

@@ -0,0 +1,49 @@
+ibm: IBM "Espresso" CPU {
+  core0: IBM PowerPC "Broadway" Core 0
+  core1: IBM PowerPC "Broadway" Core 1
+  core2: IBM PowerPC "Broadway" Core 2
+
+  rom: 16 KB ROM
+
+  core0 -- core2
+
+  rom -> core2
+}
+
+amd: AMD "Latte" GPU {
+  mem: Memory & I/O Bridge
+  dram: DRAM Controller
+  edram: 32 MB EDRAM "MEM1"
+  rom: 512 B SEEPROM
+
+  sata: SATA IF
+  exi: EXI (Efficient XML Interchange)
+
+  gx: GX {
+    3 MB 1T-SRAM
+  }
+
+  radeon: AMD Radeon R7xx "GX2"
+
+  mem -- gx
+  mem -- radeon
+
+
+  rom -- mem
+
+  mem -- sata
+  mem -- exi
+
+  dram -- sata
+  dram -- exi
+}
+
+ddr3: 2 GB DDR3 RAM "MEM2"
+
+amd.mem -- ddr3
+amd.dram -- ddr3
+amd.edram -- ddr3
+
+ibm.core1 -- amd.mem
+
+amd.exi -- RTC