oss

LICENSE

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+TALA is currently closed-source. For more information on licensing, please visit https://terrastruct.com/tala.

README.md

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+# TALA
+
+TALA is a diagram layout engine designed specifically for software architecture diagrams,
+though it works well in other domains too. 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.
+
+To learn more about TALA, please visit
+[https://terrastruct.com/tala](https://terrastruct.com/tala).
+
+To compare TALA with other layout engines, please visit
+[https://text-to-diagram.com](https://text-to-diagram.com/?a=d2&layout_a=tala&b=d2&layout_b=dagre&example=chess).
+
+## Rendering samples
+
+You can see the `.d2` text for these in [./docs/d2](./docs/d2). Samples are
+[generated](./ci/generate_samples.sh) through the CLI.
+
+|<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
+
+```sh
+curl -fsSL https://d2lang.com/install.sh | sh -s -- --tala --dryrun
+# If things look good, install for real.
+curl -fsSL https://d2lang.com/install.sh | sh -s -- --tala
+```
+
+You can also find binaries
+[Releases](https://github.com/terarstruct/TALA/releases) page for Linux and MacOS, for
+both AMD and ARM. Download the appropriate one for your OS to a directory
+in your path. Windows coming soon.
+
+### Post-install
+
+Check that it was installed properly:
+
+```sh
+d2 layout tala
+```
+
+It should print out information about TALA. If not, please see troubleshooting steps.
+
+### Use TALA
+
+You are now ready to use TALA to layout your diagrams! Specify that D2 should use TALA by
+setting the environment variable `D2_LAYOUT`.
+
+```sh
+D2_LAYOUT=tala d2 in.d2 out.svg
+```
+
+### Add API token (optional)
+
+You may skip this step if you are just evaluating.
+
+If you have an API token, copy and paste it into your environment variables. E.g.
+
+```bash
+export TSTRUCT_TOKEN = "tstruct_..."
+```
+
+## License keys
+
+TALA is freely installable and locally runnable for evaluation. You'll need an API token
+from your Terrastruct account to run it out of evaluation mode. Alternatively, if you
+don't want to create an account, you can purchase a personal license key for TALA that
+allows you to run TALA forever with access to updates for 12 months
+[here](https://buy.stripe.com/bIYeXL3cT2Lr23e5ko). If you'd like to get the benefits of a
+paid Terrastruct account at any time after, your license key will allow that.
+
+## Troubleshooting
+
+### TALA not found
+
+```sh
+which d2plugin-tala
+```
+
+If this does not return a directory, then `d2plugin-tala` is not in your path.
+
+```sh
+echo $PATH
+```
+
+Please move the downloaded binary to one of those locations.
+
+### License warning prints even with API token
+
+In the same terminal that you're running `d2` on, run
+
+```sh
+echo $TSTRUCT_TOKEN
+```
+
+If it is not found, then your environment variable has not been set in your shell. Make
+sure you add it to the appropriate shell config file and `source` it in the running
+terminal.
+
+### Other
+
+Please open an Issue describing what you're running into and we're happy to help. If you'd
+like to remain anonymous/private, feel free to email us at info@terrastruct.com
+
+## FAQ
+
+### Does TALA use the internet?
+
+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

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+#!/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

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+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

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+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

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+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

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+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

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+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

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+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