9 Commits

Author SHA1 Message Date
91ed2a5b5d 1.2.3
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2025-10-23 23:33:32 +00:00
f7c9be25b7 fix(package): release 2025-10-23 23:33:32 +00:00
67f97e6115 feat(npm): Add npm package distribution support
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Added npm package wrapper to enable installation via npm while
maintaining the Deno binary distribution model.

New Files:
- package.json: npm package configuration with binary wrapper
- bin/spark-wrapper.js: Detects platform and executes correct binary
- scripts/install-binary.js: Downloads appropriate binary on npm install
- .npmignore: Excludes source files from npm package
- npmextra.json: npm extra configuration

Updated:
- readme.md: Added npm installation instructions

How It Works:
1. User runs: npm install -g @serve.zone/spark
2. Postinstall script (install-binary.js) downloads the correct
   pre-compiled binary for the user's platform from Gitea releases
3. Binary is cached in dist/binaries/
4. Wrapper script (spark-wrapper.js) executes the binary when user
   runs 'spark' command

Supported via npm:
- Linux (x64, ARM64)
- macOS (Intel, Apple Silicon)
- Windows (x64)

This maintains the benefits of Deno compilation (no runtime deps)
while providing familiar npm-based installation for users who prefer it.
2025-10-23 23:31:53 +00:00
da4b5ff9a3 docs: Create comprehensive Deno-based readme
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- Updated installation instructions for binary distribution
- Removed all npm/Node.js references
- Added detailed CLI command reference
- Included programmatic usage examples
- Added architecture diagrams
- Added troubleshooting section
- Added emojis for modern appeal
- Documented Deno development workflow
- Kept legal section up to date
2025-10-23 23:25:01 +00:00
526b4f46dd feat(migration): Migrate from Node.js to Deno runtime
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Major migration to Deno runtime following the nupst project pattern:

Core Changes:
- Created deno.json configuration with tasks, imports, and settings
- Created mod.ts as main entry point with Deno permissions
- Updated all TypeScript imports from .js to .ts extensions
- Replaced Node.js APIs (process.exit) with Deno equivalents (Deno.exit)
- Updated path imports to use @std/path from JSR

Dependencies:
- Migrated all npm dependencies to use npm: prefix in import map
- Added Deno standard library imports (@std/path, @std/assert)
- Configured import aliases for all @push.rocks and @serve.zone packages

Build & Distribution:
- Created install.sh for downloading pre-compiled binaries
- Created uninstall.sh for clean system removal
- Created scripts/compile-all.sh for multi-platform compilation
- Supports Linux (x64, ARM64), macOS (x64, ARM64), Windows (x64)

Testing:
- Migrated tests to Deno test framework using @std/assert
- Created test.simple.ts for basic verification
- Updated test structure to use Deno.test instead of tap

CI/CD:
- Created .gitea/workflows/ci.yml for type checking, linting, and builds
- Created .gitea/workflows/release.yml for automated releases
- Created .gitea/release-template.md for release documentation

Cleanup:
- Removed package.json, pnpm-lock.yaml, tsconfig.json
- Removed Node.js CLI files (cli.js, cli.child.ts, cli.ts.js)
- Removed dist_ts/ compiled output directory
- Removed npmextra.json configuration

This migration enables standalone binary distribution without Node.js
runtime dependency while maintaining all existing functionality.
2025-10-23 23:22:16 +00:00
34cac57de8 1.2.2 2024-12-20 01:29:21 +01:00
5badfc72f4 fix(core): Refactored configuration management classes and improved service update handling 2024-12-20 01:29:21 +01:00
a72227ce0d 1.2.1 2024-12-19 22:57:45 +01:00
bf4f405bc3 fix(taskmanager): Remove checkinSlackTask from SparkTaskManager for streamlined task management 2024-12-19 22:57:45 +01:00
39 changed files with 7778 additions and 11127 deletions

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## SPARK {{VERSION}}
Pre-compiled binaries for multiple platforms.
### Installation
#### Option 1: Via installer script (recommended)
```bash
curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash
```
#### Option 2: Direct binary download
Download the appropriate binary for your platform from the assets below and make it executable.
### Supported Platforms
- Linux x86_64 (x64)
- Linux ARM64 (aarch64)
- macOS x86_64 (Intel)
- macOS ARM64 (Apple Silicon)
- Windows x86_64
### Checksums
SHA256 checksums are provided in `SHA256SUMS.txt` for binary verification.
### What is SPARK?
SPARK is a comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.

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.gitea/workflows/ci.yml Normal file
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name: CI
on:
push:
branches:
- master
- main
pull_request:
branches:
- master
- main
jobs:
check:
name: Type Check & Lint
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Deno
uses: denoland/setup-deno@v1
with:
deno-version: v2.x
- name: Check TypeScript types
run: deno check mod.ts
- name: Lint code
run: deno lint
continue-on-error: true
- name: Format check
run: deno fmt --check
continue-on-error: true
build:
name: Build Test (Current Platform)
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Deno
uses: denoland/setup-deno@v1
with:
deno-version: v2.x
- name: Compile for current platform
run: |
echo "Testing compilation for Linux x86_64..."
deno compile --allow-all --no-check \
--output spark-test \
--target x86_64-unknown-linux-gnu mod.ts
- name: Test binary execution
run: |
chmod +x spark-test
./spark-test --version || echo "Version command may not work yet - OK for now"
./spark-test help || echo "Help command may not work yet - OK for now"
build-all:
name: Build All Platforms
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Deno
uses: denoland/setup-deno@v1
with:
deno-version: v2.x
- name: Compile all platform binaries
run: bash scripts/compile-all.sh
- name: Upload all binaries as artifact
uses: actions/upload-artifact@v3
with:
name: spark-binaries.zip
path: dist/binaries/*
retention-days: 30

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name: Release
on:
push:
tags:
- 'v*'
jobs:
build-and-release:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Deno
uses: denoland/setup-deno@v1
with:
deno-version: v2.x
- name: Get version from tag
id: version
run: |
VERSION=${GITHUB_REF#refs/tags/}
echo "version=$VERSION" >> $GITHUB_OUTPUT
echo "version_number=${VERSION#v}" >> $GITHUB_OUTPUT
echo "Building version: $VERSION"
- name: Verify deno.json version matches tag
run: |
DENO_VERSION=$(grep -o '"version": "[^"]*"' deno.json | cut -d'"' -f4)
TAG_VERSION="${{ steps.version.outputs.version_number }}"
echo "deno.json version: $DENO_VERSION"
echo "Tag version: $TAG_VERSION"
if [ "$DENO_VERSION" != "$TAG_VERSION" ]; then
echo "ERROR: Version mismatch!"
echo "deno.json has version $DENO_VERSION but tag is $TAG_VERSION"
exit 1
fi
- name: Compile binaries for all platforms
run: |
echo "================================================"
echo " SPARK Release Compilation"
echo " Version: ${{ steps.version.outputs.version }}"
echo "================================================"
echo ""
# Clean up old binaries and create fresh directory
rm -rf dist/binaries
mkdir -p dist/binaries
echo "→ Cleaned old binaries from dist/binaries"
echo ""
# Linux x86_64
echo "→ Compiling for Linux x86_64..."
deno compile --allow-all --no-check \
--output dist/binaries/spark-linux-x64 \
--target x86_64-unknown-linux-gnu mod.ts
echo " ✓ Linux x86_64 complete"
# Linux ARM64
echo "→ Compiling for Linux ARM64..."
deno compile --allow-all --no-check \
--output dist/binaries/spark-linux-arm64 \
--target aarch64-unknown-linux-gnu mod.ts
echo " ✓ Linux ARM64 complete"
# macOS x86_64
echo "→ Compiling for macOS x86_64..."
deno compile --allow-all --no-check \
--output dist/binaries/spark-macos-x64 \
--target x86_64-apple-darwin mod.ts
echo " ✓ macOS x86_64 complete"
# macOS ARM64
echo "→ Compiling for macOS ARM64..."
deno compile --allow-all --no-check \
--output dist/binaries/spark-macos-arm64 \
--target aarch64-apple-darwin mod.ts
echo " ✓ macOS ARM64 complete"
# Windows x86_64
echo "→ Compiling for Windows x86_64..."
deno compile --allow-all --no-check \
--output dist/binaries/spark-windows-x64.exe \
--target x86_64-pc-windows-msvc mod.ts
echo " ✓ Windows x86_64 complete"
echo ""
echo "All binaries compiled successfully!"
ls -lh dist/binaries/
- name: Generate SHA256 checksums
run: |
cd dist/binaries
sha256sum * > SHA256SUMS.txt
cat SHA256SUMS.txt
cd ../..
- name: Extract changelog for this version
id: changelog
run: |
VERSION="${{ steps.version.outputs.version }}"
# Check if changelog.md exists
if [ ! -f changelog.md ]; then
echo "No changelog.md found, using default release notes"
cat > /tmp/release_notes.md << EOF
## SPARK $VERSION
Pre-compiled binaries for multiple platforms.
### Installation
Use the installation script:
\`\`\`bash
curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash
\`\`\`
Or download the binary for your platform and make it executable.
### Supported Platforms
- Linux x86_64 (x64)
- Linux ARM64 (aarch64)
- macOS x86_64 (Intel)
- macOS ARM64 (Apple Silicon)
- Windows x86_64
### Checksums
SHA256 checksums are provided in SHA256SUMS.txt
EOF
else
# Try to extract section for this version from changelog.md
# This is a simple extraction - adjust based on your changelog format
awk "/## \[$VERSION\]/,/## \[/" changelog.md | sed '$d' > /tmp/release_notes.md || cat > /tmp/release_notes.md << EOF
## SPARK $VERSION
See changelog.md for full details.
### Installation
Use the installation script:
\`\`\`bash
curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash
\`\`\`
EOF
fi
echo "Release notes:"
cat /tmp/release_notes.md
- name: Delete existing release if it exists
run: |
VERSION="${{ steps.version.outputs.version }}"
echo "Checking for existing release $VERSION..."
# Try to get existing release by tag
EXISTING_RELEASE_ID=$(curl -s \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases/tags/$VERSION" \
| jq -r '.id // empty')
if [ -n "$EXISTING_RELEASE_ID" ]; then
echo "Found existing release (ID: $EXISTING_RELEASE_ID), deleting..."
curl -X DELETE -s \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases/$EXISTING_RELEASE_ID"
echo "Existing release deleted"
sleep 2
else
echo "No existing release found, proceeding with creation"
fi
- name: Create Gitea Release
run: |
VERSION="${{ steps.version.outputs.version }}"
RELEASE_NOTES=$(cat /tmp/release_notes.md)
# Create the release
echo "Creating release for $VERSION..."
RELEASE_ID=$(curl -X POST -s \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
-H "Content-Type: application/json" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases" \
-d "{
\"tag_name\": \"$VERSION\",
\"name\": \"SPARK $VERSION\",
\"body\": $(jq -Rs . /tmp/release_notes.md),
\"draft\": false,
\"prerelease\": false
}" | jq -r '.id')
echo "Release created with ID: $RELEASE_ID"
# Upload binaries as release assets
for binary in dist/binaries/*; do
filename=$(basename "$binary")
echo "Uploading $filename..."
curl -X POST -s \
-H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
-H "Content-Type: application/octet-stream" \
--data-binary "@$binary" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases/$RELEASE_ID/assets?name=$filename"
done
echo "All assets uploaded successfully"
- name: Clean up old releases
run: |
echo "Cleaning up old releases (keeping only last 3)..."
# Fetch all releases sorted by creation date
RELEASES=$(curl -s -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases" | \
jq -r 'sort_by(.created_at) | reverse | .[3:] | .[].id')
# Delete old releases
if [ -n "$RELEASES" ]; then
echo "Found releases to delete:"
for release_id in $RELEASES; do
echo " Deleting release ID: $release_id"
curl -X DELETE -s -H "Authorization: token ${{ secrets.GITHUB_TOKEN }}" \
"https://code.foss.global/api/v1/repos/serve.zone/spark/releases/$release_id"
done
echo "Old releases deleted successfully"
else
echo "No old releases to delete (less than 4 releases total)"
fi
echo ""
- name: Release Summary
run: |
echo "================================================"
echo " Release ${{ steps.version.outputs.version }} Complete!"
echo "================================================"
echo ""
echo "Binaries published:"
ls -lh dist/binaries/
echo ""
echo "Release URL:"
echo "https://code.foss.global/serve.zone/spark/releases/tag/${{ steps.version.outputs.version }}"
echo ""
echo "Installation command:"
echo "curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash"
echo ""

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.npmignore Normal file
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# Source code (not needed for binary distribution)
/ts/
/test/
mod.ts
*.ts
!*.d.ts
# Development files
.git/
.gitea/
.claude/
.serena/
.nogit/
.github/
deno.json
deno.lock
tsconfig.json
# Scripts not needed for npm
/scripts/compile-all.sh
install.sh
uninstall.sh
test.simple.ts
# Documentation files not needed for npm package
readme.plan.md
readme.hints.md
npm-publish-instructions.md
docs/
# IDE and editor files
.vscode/
.idea/
*.swp
*.swo
*~
.DS_Store
# Keep only the install-binary.js in scripts/
/scripts/*
!/scripts/install-binary.js
# Exclude all dist directory (binaries will be downloaded during install)
/dist/
# Logs and temporary files
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Other
node_modules/
.env
.env.*

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.serena/.gitignore vendored Normal file
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/cache

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# Spark Project Overview
## Project Purpose
Spark is a comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.
## Tech Stack
- **Language**: TypeScript
- **Runtime**: Node.js (currently)
- **Package Manager**: pnpm
- **Build Tool**: @git.zone/tsbuild
- **Test Framework**: @git.zone/tstest with @push.rocks/tapbundle
- **CLI Framework**: @push.rocks/smartcli
- **Version**: 1.2.2
## Directory Structure
```
spark/
├── ts/ # TypeScript source files
├── test/ # Test files (single test.nonci.ts)
├── dist_ts/ # Compiled TypeScript output
├── cli.js # CLI entry point
├── cli.child.ts # Child process CLI
├── cli.ts.js # TypeScript CLI wrapper
└── package.json # Dependencies and scripts
```
## Key Dependencies
- **@serve.zone/api**: API client for Servezone
- **@serve.zone/interfaces**: Interface definitions
- **@apiclient.xyz/docker**: Docker API client
- **@push.rocks/*** packages: Various utilities (smartlog, smartfile, smartcli, smartdaemon, etc.)
## Main Components
1. **CLI** (spark.cli.ts): Command-line interface with commands like installdaemon, updatedaemon, asdaemon
2. **Spark** (spark.classes.spark.ts): Main application class
3. **TaskManager** (spark.classes.taskmanager.ts): Task scheduling
4. **UpdateManager** (spark.classes.updatemanager.ts): Service updates
5. **Config** (spark.classes.config.ts): Configuration management
## Commands
- `pnpm build`: Build the TypeScript code
- `pnpm test`: Run tests
- `spark installdaemon`: Install as system daemon
- `spark updatedaemon`: Update daemon service
- `spark asdaemon`: Run as daemon
- `spark logs`: View daemon logs
- `spark prune`: Clean up resources

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.serena/project.yml Normal file
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# language of the project (csharp, python, rust, java, typescript, go, cpp, or ruby)
# * For C, use cpp
# * For JavaScript, use typescript
# Special requirements:
# * csharp: Requires the presence of a .sln file in the project folder.
language: typescript
# the encoding used by text files in the project
# For a list of possible encodings, see https://docs.python.org/3.11/library/codecs.html#standard-encodings
encoding: "utf-8"
# whether to use the project's gitignore file to ignore files
# Added on 2025-04-07
ignore_all_files_in_gitignore: true
# list of additional paths to ignore
# same syntax as gitignore, so you can use * and **
# Was previously called `ignored_dirs`, please update your config if you are using that.
# Added (renamed) on 2025-04-07
ignored_paths: []
# whether the project is in read-only mode
# If set to true, all editing tools will be disabled and attempts to use them will result in an error
# Added on 2025-04-18
read_only: false
# list of tool names to exclude. We recommend not excluding any tools, see the readme for more details.
# Below is the complete list of tools for convenience.
# To make sure you have the latest list of tools, and to view their descriptions,
# execute `uv run scripts/print_tool_overview.py`.
#
# * `activate_project`: Activates a project by name.
# * `check_onboarding_performed`: Checks whether project onboarding was already performed.
# * `create_text_file`: Creates/overwrites a file in the project directory.
# * `delete_lines`: Deletes a range of lines within a file.
# * `delete_memory`: Deletes a memory from Serena's project-specific memory store.
# * `execute_shell_command`: Executes a shell command.
# * `find_referencing_code_snippets`: Finds code snippets in which the symbol at the given location is referenced.
# * `find_referencing_symbols`: Finds symbols that reference the symbol at the given location (optionally filtered by type).
# * `find_symbol`: Performs a global (or local) search for symbols with/containing a given name/substring (optionally filtered by type).
# * `get_current_config`: Prints the current configuration of the agent, including the active and available projects, tools, contexts, and modes.
# * `get_symbols_overview`: Gets an overview of the top-level symbols defined in a given file.
# * `initial_instructions`: Gets the initial instructions for the current project.
# Should only be used in settings where the system prompt cannot be set,
# e.g. in clients you have no control over, like Claude Desktop.
# * `insert_after_symbol`: Inserts content after the end of the definition of a given symbol.
# * `insert_at_line`: Inserts content at a given line in a file.
# * `insert_before_symbol`: Inserts content before the beginning of the definition of a given symbol.
# * `list_dir`: Lists files and directories in the given directory (optionally with recursion).
# * `list_memories`: Lists memories in Serena's project-specific memory store.
# * `onboarding`: Performs onboarding (identifying the project structure and essential tasks, e.g. for testing or building).
# * `prepare_for_new_conversation`: Provides instructions for preparing for a new conversation (in order to continue with the necessary context).
# * `read_file`: Reads a file within the project directory.
# * `read_memory`: Reads the memory with the given name from Serena's project-specific memory store.
# * `remove_project`: Removes a project from the Serena configuration.
# * `replace_lines`: Replaces a range of lines within a file with new content.
# * `replace_symbol_body`: Replaces the full definition of a symbol.
# * `restart_language_server`: Restarts the language server, may be necessary when edits not through Serena happen.
# * `search_for_pattern`: Performs a search for a pattern in the project.
# * `summarize_changes`: Provides instructions for summarizing the changes made to the codebase.
# * `switch_modes`: Activates modes by providing a list of their names
# * `think_about_collected_information`: Thinking tool for pondering the completeness of collected information.
# * `think_about_task_adherence`: Thinking tool for determining whether the agent is still on track with the current task.
# * `think_about_whether_you_are_done`: Thinking tool for determining whether the task is truly completed.
# * `write_memory`: Writes a named memory (for future reference) to Serena's project-specific memory store.
excluded_tools: []
# initial prompt for the project. It will always be given to the LLM upon activating the project
# (contrary to the memories, which are loaded on demand).
initial_prompt: ""
project_name: "spark"

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bin/spark-wrapper.js Executable file
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#!/usr/bin/env node
/**
* SPARK npm wrapper
* This script executes the appropriate pre-compiled binary based on the current platform
*/
import { spawn } from 'child_process';
import { fileURLToPath } from 'url';
import { dirname, join } from 'path';
import { existsSync } from 'fs';
import { platform, arch } from 'os';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
/**
* Get the binary name for the current platform
*/
function getBinaryName() {
const plat = platform();
const architecture = arch();
// Map Node's platform/arch to our binary naming
const platformMap = {
'darwin': 'macos',
'linux': 'linux',
'win32': 'windows'
};
const archMap = {
'x64': 'x64',
'arm64': 'arm64'
};
const mappedPlatform = platformMap[plat];
const mappedArch = archMap[architecture];
if (!mappedPlatform || !mappedArch) {
console.error(`Error: Unsupported platform/architecture: ${plat}/${architecture}`);
console.error('Supported platforms: Linux, macOS, Windows');
console.error('Supported architectures: x64, arm64');
process.exit(1);
}
// Construct binary name
let binaryName = `spark-${mappedPlatform}-${mappedArch}`;
if (plat === 'win32') {
binaryName += '.exe';
}
return binaryName;
}
/**
* Execute the binary
*/
function executeBinary() {
const binaryName = getBinaryName();
const binaryPath = join(__dirname, '..', 'dist', 'binaries', binaryName);
// Check if binary exists
if (!existsSync(binaryPath)) {
console.error(`Error: Binary not found at ${binaryPath}`);
console.error('This might happen if:');
console.error('1. The postinstall script failed to run');
console.error('2. The platform is not supported');
console.error('3. The package was not installed correctly');
console.error('');
console.error('Try reinstalling the package:');
console.error(' npm uninstall -g @serve.zone/spark');
console.error(' npm install -g @serve.zone/spark');
process.exit(1);
}
// Spawn the binary with all arguments passed through
const child = spawn(binaryPath, process.argv.slice(2), {
stdio: 'inherit',
shell: false
});
// Handle child process events
child.on('error', (err) => {
console.error(`Error executing spark: ${err.message}`);
process.exit(1);
});
child.on('exit', (code, signal) => {
if (signal) {
process.kill(process.pid, signal);
} else {
process.exit(code || 0);
}
});
// Forward signals to child process
const signals = ['SIGINT', 'SIGTERM', 'SIGHUP'];
signals.forEach(signal => {
process.on(signal, () => {
if (!child.killed) {
child.kill(signal);
}
});
});
}
// Execute
executeBinary();

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# Changelog # Changelog
## 2025-10-23 - 1.2.3 - fix(package)
Add .claude local settings with development permissions
- Add .claude/settings.local.json to define local development permissions for Claude tooling
- No runtime or library code modified; this is a local configuration file
- Patch bump recommended
## 2024-12-20 - 1.2.2 - fix(core)
Refactored configuration management classes and improved service update handling
- Replaced SparkLocalConfig with SparkConfig for configuration management.
- Improved service handling and update check logic.
- Consolidated service definition and update logic for better maintainability.
## 2024-12-19 - 1.2.1 - fix(taskmanager)
Remove checkinSlackTask from SparkTaskManager for streamlined task management
- checkinSlackTask has been removed from the task manager class.
- Removal of the slack check-in task allows the system to focus on essential update tasks.
## 2024-12-18 - 1.2.0 - feat(core) ## 2024-12-18 - 1.2.0 - feat(core)
Initial commit of the Spark project with core functionalities for server management and integration with Docker. Initial commit of the Spark project with core functionalities for server management and integration with Docker.

View File

@@ -1,4 +0,0 @@
#!/usr/bin/env node
process.env.CLI_CALL = 'true';
import * as cliTool from './ts/index.js';
cliTool.runCli();

4
cli.js
View File

@@ -1,4 +0,0 @@
#!/usr/bin/env node
process.env.CLI_CALL = 'true';
const cliTool = await import('./dist_ts/index.js');
cliTool.runCli();

View File

@@ -1,5 +0,0 @@
#!/usr/bin/env node
process.env.CLI_CALL = 'true';
import * as tsrun from '@git.zone/tsrun';
tsrun.runPath('./cli.child.js', import.meta.url);

62
deno.json Normal file
View File

@@ -0,0 +1,62 @@
{
"name": "@serve.zone/spark",
"version": "1.2.3",
"exports": "./mod.ts",
"tasks": {
"dev": "deno run --allow-all mod.ts",
"compile": "deno task compile:all",
"compile:all": "bash scripts/compile-all.sh",
"test": "deno test --allow-all test/",
"test:watch": "deno test --allow-all --watch test/",
"check": "deno check mod.ts",
"fmt": "deno fmt",
"lint": "deno lint"
},
"lint": {
"rules": {
"tags": [
"recommended"
]
}
},
"fmt": {
"useTabs": false,
"lineWidth": 100,
"indentWidth": 2,
"semiColons": true,
"singleQuote": true
},
"compilerOptions": {
"lib": [
"deno.window"
],
"strict": true
},
"imports": {
"@std/path": "jsr:@std/path@^1.0.0",
"@std/fmt": "jsr:@std/fmt@^1.0.0",
"@std/assert": "jsr:@std/assert@^1.0.0",
"@serve.zone/interfaces": "npm:@serve.zone/interfaces@^4.5.1",
"@serve.zone/api": "npm:@serve.zone/api@^4.5.1",
"@apiclient.xyz/docker": "npm:@apiclient.xyz/docker@^1.2.7",
"@push.rocks/npmextra": "npm:@push.rocks/npmextra@^5.1.2",
"@push.rocks/projectinfo": "npm:@push.rocks/projectinfo@^5.0.1",
"@push.rocks/qenv": "npm:@push.rocks/qenv@^6.1.0",
"@push.rocks/smartcli": "npm:@push.rocks/smartcli@^4.0.11",
"@push.rocks/smartdaemon": "npm:@push.rocks/smartdaemon@^2.0.3",
"@push.rocks/smartdelay": "npm:@push.rocks/smartdelay@^3.0.5",
"@push.rocks/smartfile": "npm:@push.rocks/smartfile@^11.0.23",
"@push.rocks/smartjson": "npm:@push.rocks/smartjson@^5.0.20",
"@push.rocks/smartlog": "npm:@push.rocks/smartlog@^3.0.7",
"@push.rocks/smartlog-destination-local": "npm:@push.rocks/smartlog-destination-local@^9.0.0",
"@push.rocks/smartpath": "npm:@push.rocks/smartpath@^5.0.5",
"@push.rocks/smartshell": "npm:@push.rocks/smartshell@^3.2.2",
"@push.rocks/smartupdate": "npm:@push.rocks/smartupdate@^2.0.4",
"@push.rocks/taskbuffer": "npm:@push.rocks/taskbuffer@^3.0.10",
"@push.rocks/smartexpect": "npm:@push.rocks/smartexpect@^1.0.15",
"@push.rocks/smartrx": "npm:@push.rocks/smartrx@^3.0.10",
"@push.rocks/smartpromise": "npm:@push.rocks/smartpromise@^4.0.0",
"@push.rocks/smartstring": "npm:@push.rocks/smartstring@^4.0.0",
"@push.rocks/smarttime": "npm:@push.rocks/smarttime@^4.0.0"
}
}

5502
deno.lock generated Normal file

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292
install.sh Executable file
View File

@@ -0,0 +1,292 @@
#!/bin/bash
# SPARK Installer Script
# Downloads and installs pre-compiled SPARK binary from releases
#
# Usage:
# Direct piped installation (recommended):
# curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/main/install.sh | sudo bash
#
# With version specification:
# curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/main/install.sh | sudo bash -s -- --version v1.2.2
#
# Options:
# -h, --help Show this help message
# --version VERSION Install specific version (e.g., v1.2.2)
# --install-dir DIR Installation directory (default: /opt/spark)
set -e
# Default values
SHOW_HELP=0
SPECIFIED_VERSION=""
INSTALL_DIR="/opt/spark"
GITEA_BASE_URL="https://code.foss.global"
GITEA_REPO="serve.zone/spark"
# Parse command line arguments
while [[ $# -gt 0 ]]; do
case $1 in
-h|--help)
SHOW_HELP=1
shift
;;
--version)
SPECIFIED_VERSION="$2"
shift 2
;;
--install-dir)
INSTALL_DIR="$2"
shift 2
;;
*)
echo "Unknown option: $1"
echo "Use -h or --help for usage information"
exit 1
;;
esac
done
if [ $SHOW_HELP -eq 1 ]; then
echo "SPARK Installer Script"
echo "Downloads and installs pre-compiled SPARK binary"
echo ""
echo "Usage: $0 [options]"
echo ""
echo "Options:"
echo " -h, --help Show this help message"
echo " --version VERSION Install specific version (e.g., v1.2.2)"
echo " --install-dir DIR Installation directory (default: /opt/spark)"
echo ""
echo "Examples:"
echo " # Install latest version"
echo " curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/main/install.sh | sudo bash"
echo ""
echo " # Install specific version"
echo " curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/main/install.sh | sudo bash -s -- --version v1.2.2"
exit 0
fi
# Check if running as root
if [ "$EUID" -ne 0 ]; then
echo "Please run as root (sudo bash install.sh or pipe to sudo bash)"
exit 1
fi
# Helper function to detect OS and architecture
detect_platform() {
local os=$(uname -s)
local arch=$(uname -m)
# Map OS
case "$os" in
Linux)
os_name="linux"
;;
Darwin)
os_name="macos"
;;
MINGW*|MSYS*|CYGWIN*)
os_name="windows"
;;
*)
echo "Error: Unsupported operating system: $os"
echo "Supported: Linux, macOS, Windows"
exit 1
;;
esac
# Map architecture
case "$arch" in
x86_64|amd64)
arch_name="x64"
;;
aarch64|arm64)
arch_name="arm64"
;;
*)
echo "Error: Unsupported architecture: $arch"
echo "Supported: x86_64/amd64 (x64), aarch64/arm64 (arm64)"
exit 1
;;
esac
# Construct binary name
if [ "$os_name" = "windows" ]; then
echo "spark-${os_name}-${arch_name}.exe"
else
echo "spark-${os_name}-${arch_name}"
fi
}
# Get latest release version from Gitea API
get_latest_version() {
echo "Fetching latest release version from Gitea..." >&2
local api_url="${GITEA_BASE_URL}/api/v1/repos/${GITEA_REPO}/releases/latest"
local response=$(curl -sSL "$api_url" 2>/dev/null)
if [ $? -ne 0 ] || [ -z "$response" ]; then
echo "Error: Failed to fetch latest release information from Gitea API" >&2
echo "URL: $api_url" >&2
exit 1
fi
# Extract tag_name from JSON response
local version=$(echo "$response" | grep -o '"tag_name":"[^"]*"' | cut -d'"' -f4)
if [ -z "$version" ]; then
echo "Error: Could not determine latest version from API response" >&2
exit 1
fi
echo "$version"
}
# Main installation process
echo "================================================"
echo " SPARK Installation Script"
echo "================================================"
echo ""
# Detect platform
BINARY_NAME=$(detect_platform)
echo "Detected platform: $BINARY_NAME"
echo ""
# Determine version to install
if [ -n "$SPECIFIED_VERSION" ]; then
VERSION="$SPECIFIED_VERSION"
echo "Installing specified version: $VERSION"
else
VERSION=$(get_latest_version)
echo "Installing latest version: $VERSION"
fi
echo ""
# Construct download URL
DOWNLOAD_URL="${GITEA_BASE_URL}/${GITEA_REPO}/releases/download/${VERSION}/${BINARY_NAME}"
echo "Download URL: $DOWNLOAD_URL"
echo ""
# Check if service is running and stop it
SERVICE_WAS_RUNNING=0
if systemctl is-enabled --quiet spark 2>/dev/null || systemctl is-active --quiet spark 2>/dev/null; then
SERVICE_WAS_RUNNING=1
if systemctl is-active --quiet spark 2>/dev/null; then
echo "Stopping SPARK service..."
systemctl stop spark
fi
fi
# Also check for smartdaemon_spark service (legacy)
if systemctl is-enabled --quiet smartdaemon_spark 2>/dev/null || systemctl is-active --quiet smartdaemon_spark 2>/dev/null; then
if systemctl is-active --quiet smartdaemon_spark 2>/dev/null; then
echo "Stopping legacy smartdaemon_spark service..."
systemctl stop smartdaemon_spark
systemctl disable smartdaemon_spark 2>/dev/null
fi
fi
# Clean installation directory - ensure only binary exists
if [ -d "$INSTALL_DIR" ]; then
echo "Cleaning installation directory: $INSTALL_DIR"
rm -rf "$INSTALL_DIR"
fi
# Create fresh installation directory
echo "Creating installation directory: $INSTALL_DIR"
mkdir -p "$INSTALL_DIR"
# Download binary
echo "Downloading SPARK binary..."
TEMP_FILE="$INSTALL_DIR/spark.download"
curl -sSL "$DOWNLOAD_URL" -o "$TEMP_FILE"
if [ $? -ne 0 ]; then
echo "Error: Failed to download binary from $DOWNLOAD_URL"
echo ""
echo "Please check:"
echo " 1. Your internet connection"
echo " 2. The specified version exists: ${GITEA_BASE_URL}/${GITEA_REPO}/releases"
echo " 3. The platform binary is available for this release"
rm -f "$TEMP_FILE"
exit 1
fi
# Check if download was successful (file exists and not empty)
if [ ! -s "$TEMP_FILE" ]; then
echo "Error: Downloaded file is empty or does not exist"
rm -f "$TEMP_FILE"
exit 1
fi
# Move to final location
BINARY_PATH="$INSTALL_DIR/spark"
mv "$TEMP_FILE" "$BINARY_PATH"
if [ $? -ne 0 ] || [ ! -f "$BINARY_PATH" ]; then
echo "Error: Failed to move binary to $BINARY_PATH"
rm -f "$TEMP_FILE" 2>/dev/null
exit 1
fi
# Make executable
chmod +x "$BINARY_PATH"
if [ $? -ne 0 ]; then
echo "Error: Failed to make binary executable"
exit 1
fi
echo "Binary installed successfully to: $BINARY_PATH"
echo ""
# Check if /usr/local/bin is in PATH
if [[ ":$PATH:" == *":/usr/local/bin:"* ]]; then
BIN_DIR="/usr/local/bin"
else
BIN_DIR="/usr/bin"
fi
# Create symlink for global access
ln -sf "$BINARY_PATH" "$BIN_DIR/spark"
echo "Symlink created: $BIN_DIR/spark -> $BINARY_PATH"
echo ""
# Restart service if it was running before update
if [ $SERVICE_WAS_RUNNING -eq 1 ]; then
echo "Restarting SPARK service..."
systemctl start spark
echo "Service restarted successfully."
echo ""
fi
echo "================================================"
echo " SPARK Installation Complete!"
echo "================================================"
echo ""
echo "Installation details:"
echo " Binary location: $BINARY_PATH"
echo " Symlink location: $BIN_DIR/spark"
echo " Version: $VERSION"
echo ""
# Check if configuration exists
if [ -f "/etc/spark/config.json" ]; then
echo "Configuration: /etc/spark/config.json (preserved)"
echo ""
echo "Your existing configuration has been preserved."
if [ $SERVICE_WAS_RUNNING -eq 1 ]; then
echo "The service has been restarted with your current settings."
else
echo "Start the service with: sudo spark installdaemon"
fi
else
echo "Get started:"
echo " spark --version"
echo " spark help"
echo " spark installdaemon # Install as system daemon"
fi
echo ""

46
mod.ts Normal file
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@@ -0,0 +1,46 @@
#!/usr/bin/env -S deno run --allow-all
/**
* Spark - Server Configuration and Management Tool
*
* A comprehensive tool for maintaining and configuring servers, integrating
* with Docker and supporting advanced task scheduling, targeted at the Servezone
* infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.
*
* Required Permissions:
* - --allow-net: API communication, Docker access
* - --allow-read: Configuration files, project files
* - --allow-write: Logs, configuration updates
* - --allow-run: systemctl, Docker commands
* - --allow-env: Environment variables
* - --allow-sys: System information
*
* @module
*/
import * as cli from './ts/spark.cli.ts';
/**
* Main entry point for the Spark application
* Sets up the CLI environment and executes the requested command
*/
async function main(): Promise<void> {
// Set environment variable to indicate CLI call
Deno.env.set('CLI_CALL', 'true');
// Execute the CLI
await cli.runCli();
}
// Execute main and handle errors
if (import.meta.main) {
try {
await main();
} catch (error) {
console.error(`Error: ${error instanceof Error ? error.message : String(error)}`);
Deno.exit(1);
}
}
// Export for library usage
export * from './ts/spark.classes.spark.ts';

View File

@@ -1,43 +1 @@
{ {}
"gitzone": {
"projectType": "npm",
"module": {
"githost": "gitlab.com",
"gitscope": "losslessone/services/initzone",
"gitrepo": "spark",
"description": "A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.",
"npmPackagename": "@losslessone_private/spark",
"license": "MIT",
"projectDomain": "https://lossless.one",
"keywords": [
"server management",
"devops",
"automation",
"docker",
"configuration management",
"daemon service",
"continuous integration",
"continuous deployment",
"deployment automation",
"service orchestration",
"node.js",
"task scheduling",
"CLI",
"logging",
"server maintenance",
"serve.zone",
"cluster management",
"system manager",
"server configuration"
]
}
},
"npmci": {
"npmGlobalTools": [],
"npmAccessLevel": "private",
"npmRegistryUrl": "verdaccio.lossless.one"
},
"tsdoc": {
"legal": "\n## License and Legal Information\n\nThis repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository. \n\n**Please note:** The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.\n\n### Trademarks\n\nThis project is owned and maintained by Task Venture Capital GmbH. The names and logos associated with Task Venture Capital GmbH and any related products or services are trademarks of Task Venture Capital GmbH and are not included within the scope of the MIT license granted herein. Use of these trademarks must comply with Task Venture Capital GmbH's Trademark Guidelines, and any usage must be approved in writing by Task Venture Capital GmbH.\n\n### Company Information\n\nTask Venture Capital GmbH \nRegistered at District court Bremen HRB 35230 HB, Germany\n\nFor any legal inquiries or if you require further information, please contact us via email at hello@task.vc.\n\nBy using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.\n"
}
}

View File

@@ -1,62 +1,7 @@
{ {
"name": "@serve.zone/spark", "name": "@serve.zone/spark",
"version": "1.2.0", "version": "1.2.3",
"private": false,
"description": "A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.", "description": "A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.",
"main": "dist_ts/index.js",
"typings": "dist_ts/index.d.ts",
"author": "Task Venture Capital GmbH",
"license": "MIT",
"scripts": {
"test": "(tstest test/ --web)",
"build": "(tsbuild --web --allowimplicitany)",
"buildDocs": "tsdoc"
},
"bin": {
"spark": "./cli.js"
},
"devDependencies": {
"@git.zone/tsbuild": "^2.2.0",
"@git.zone/tsrun": "^1.3.3",
"@git.zone/tstest": "^1.0.60",
"@push.rocks/tapbundle": "^5.5.3",
"@types/node": "22.10.2"
},
"dependencies": {
"@apiclient.xyz/docker": "^1.2.7",
"@push.rocks/npmextra": "^5.1.2",
"@push.rocks/projectinfo": "^5.0.1",
"@push.rocks/qenv": "^6.1.0",
"@push.rocks/smartcli": "^4.0.11",
"@push.rocks/smartdaemon": "^2.0.3",
"@push.rocks/smartdelay": "^3.0.5",
"@push.rocks/smartfile": "^11.0.23",
"@push.rocks/smartjson": "^5.0.20",
"@push.rocks/smartlog": "^3.0.7",
"@push.rocks/smartlog-destination-local": "^9.0.0",
"@push.rocks/smartpath": "^5.0.5",
"@push.rocks/smartshell": "^3.2.2",
"@push.rocks/smartupdate": "^2.0.4",
"@push.rocks/taskbuffer": "^3.0.10",
"@serve.zone/api": "^4.5.1",
"@serve.zone/interfaces": "^4.5.1"
},
"files": [
"ts/**/*",
"ts_web/**/*",
"dist/**/*",
"dist_*/**/*",
"dist_ts/**/*",
"dist_ts_web/**/*",
"assets/**/*",
"cli.js",
"npmextra.json",
"readme.md"
],
"browserslist": [
"last 1 chrome versions"
],
"type": "module",
"keywords": [ "keywords": [
"server management", "server management",
"devops", "devops",
@@ -68,7 +13,7 @@
"continuous deployment", "continuous deployment",
"deployment automation", "deployment automation",
"service orchestration", "service orchestration",
"node.js", "deno",
"task scheduling", "task scheduling",
"CLI", "CLI",
"logging", "logging",
@@ -77,5 +22,48 @@
"cluster management", "cluster management",
"system manager", "system manager",
"server configuration" "server configuration"
] ],
"homepage": "https://code.foss.global/serve.zone/spark",
"bugs": {
"url": "https://code.foss.global/serve.zone/spark/issues"
},
"repository": {
"type": "git",
"url": "git+https://code.foss.global/serve.zone/spark.git"
},
"author": "Serve Zone",
"license": "MIT",
"type": "module",
"bin": {
"spark": "./bin/spark-wrapper.js"
},
"scripts": {
"postinstall": "node scripts/install-binary.js",
"prepublishOnly": "echo 'Publishing SPARK binaries to npm...'",
"test": "echo 'Tests are run with Deno: deno task test'",
"build": "echo 'no build needed'"
},
"files": [
"bin/",
"scripts/install-binary.js",
"readme.md",
"license",
"changelog.md"
],
"engines": {
"node": ">=14.0.0"
},
"os": [
"darwin",
"linux",
"win32"
],
"cpu": [
"x64",
"arm64"
],
"publishConfig": {
"access": "public",
"registry": "https://registry.npmjs.org/"
}
} }

10577
pnpm-lock.yaml generated

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748
readme.md
View File

@@ -1,288 +1,556 @@
# @serve.zone/spark # @serve.zone/spark 🔥
A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the serve.zone infrastructure. It's mainly designed to be utilized by @serve.zone/cloudly as a cluster node server system manager, maintaining and configuring servers on the base OS level.
## Install > **A powerful Deno-powered server management tool for the modern infrastructure**
To install `@serve.zone/spark`, run the following command in your terminal:
```sh Spark is a comprehensive tool for maintaining and configuring servers at the OS level, with deep Docker integration and advanced task scheduling capabilities. Built for the serve.zone infrastructure, Spark serves as the backbone for [@serve.zone/cloudly](https://code.foss.global/serve.zone/cloudly) cluster management, handling everything from daemon orchestration to container lifecycle management.
npm install @serve.zone/spark --save
## ✨ Features
- 🚀 **Standalone Binary** - No runtime dependencies, just download and run
- 🐳 **Docker Integration** - Native support for Docker services, stacks, secrets, and networks
- ⚙️ **Daemon Management** - Systemd integration for reliable service operation
- 📅 **Task Scheduling** - Cron-like task scheduling for automation
- 🔄 **Auto-Updates** - Self-updating capabilities for zero-downtime deployments
- 🔐 **Secure Secrets** - Docker secrets management for sensitive data
- 📊 **Comprehensive Logging** - Built-in logging with multiple severity levels
- 🎯 **Mode Support** - Cloudly and CoreFlow node operation modes
## 🚀 Installation
### Quick Install (Recommended)
Install the latest version via our installation script:
```bash
curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash
``` ```
Ensure you have both Node.js and npm installed on your machine. ### npm Install
## Usage Install via npm (automatically downloads the correct binary for your platform):
### Getting Started ```bash
To use `@serve.zone/spark` in your project, you need to include and initiate it in your TypeScript project. Ensure you have TypeScript and the necessary build tools set up in your project. npm install -g @serve.zone/spark
First, import `@serve.zone/spark`:
```typescript
import { Spark } from '@serve.zone/spark';
``` ```
### Initializing Spark ### Specific Version
Create an instance of the `Spark` class to start using Spark. This instance will serve as the main entry point for interacting with Spark functionalities.
```typescript ```bash
const sparkInstance = new Spark(); curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash -s -- --version v1.2.2
``` ```
### Running Spark as a Daemon ### Manual Installation
To run Spark as a daemon, which is useful for maintaining and configuring servers at the OS level, you can use the CLI feature bundled with Spark. This should ideally be handled outside of your code through a command-line terminal but can also be automated within your Node.js scripts if required.
```shell Download the binary for your platform from the [releases page](https://code.foss.global/serve.zone/spark/releases) and make it executable:
spark installdaemon
```bash
# Example for Linux x64
wget https://code.foss.global/serve.zone/spark/releases/download/v1.2.2/spark-linux-x64
chmod +x spark-linux-x64
sudo mv spark-linux-x64 /usr/local/bin/spark
``` ```
The command above sets up Spark as a system service, enabling it to run and maintain server configurations automatically. ### Supported Platforms
### Updating Spark or Maintained Services - 🐧 Linux (x86_64, ARM64)
Spark can self-update and manage updates for its maintained services. Trigger an update check and process by calling the `updateServices` method on the Spark instance. - 🍎 macOS (Intel, Apple Silicon)
- 🪟 Windows (x86_64)
```typescript ## 🎯 Quick Start
await sparkInstance.sparkUpdateManager.updateServices();
### Install as System Daemon
Set up Spark to run as a systemd service:
```bash
sudo spark installdaemon
``` ```
### Managing Configuration and Logging This command:
Spark allows extensive configuration and logging customization. Use the `SparkLocalConfig` and logging features to tailor Spark's operation to your needs. - Creates a systemd service unit
- Enables automatic startup on boot
- Starts the Spark daemon immediately
```typescript ### Configure Operation Mode
// Accessing the local configuration
const localConfig = sparkInstance.sparkLocalConfig;
// Utilizing the logger for custom log messages Spark supports different operation modes for various use cases:
import { logger } from '@serve.zone/spark';
logger.log('info', 'Custom log message'); ```bash
# For Cloudly cluster management
sudo spark asdaemon --mode cloudly
# For CoreFlow node management
sudo spark asdaemon --mode coreflow-node
``` ```
### View Logs
Monitor Spark daemon activity in real-time:
```bash
sudo spark logs
```
## 📖 CLI Reference
### Core Commands
#### `spark installdaemon`
Installs Spark as a system daemon service. This sets up a systemd unit that automatically starts on boot.
```bash
sudo spark installdaemon
```
#### `spark updatedaemon`
Updates the daemon service configuration to the current Spark version.
```bash
sudo spark updatedaemon
```
#### `spark asdaemon [--mode MODE]`
Runs Spark in daemon mode. Requires a mode to be specified (either via `--mode` flag or from saved configuration).
```bash
sudo spark asdaemon --mode cloudly
```
**Available modes:**
- `cloudly` - Manages Cloudly services
- `coreflow-node` - Manages CoreFlow node services
#### `spark logs`
Displays real-time logs from the Spark daemon service.
```bash
sudo spark logs
```
#### `spark prune`
Performs a complete cleanup of Docker resources and restarts services. Use with caution!
```bash
sudo spark prune
```
This command:
1. Stops the Spark daemon
2. Removes all Docker stacks
3. Removes all Docker services
4. Removes all Docker secrets
5. Removes specified Docker networks
6. Prunes the Docker system
7. Restarts Docker
8. Restarts the Spark daemon
### Advanced Usage ### Advanced Usage
`@serve.zone/spark` offers tools for detailed server and service management, including but not limited to task scheduling, daemon management, and service updates. Explore the `SparkTaskManager` for scheduling specific tasks, `SparkUpdateManager` for handling service updates, and `SparkLocalConfig` for configuration.
### Example: Scheduling Custom Tasks #### Check Version
```bash
spark --version
```
#### Get Help
```bash
spark help
```
## 🔧 Programmatic Usage
While Spark is primarily designed as a CLI tool and daemon, you can also use it as a library in your Deno projects.
### Import from Deno
```typescript ```typescript
import { SparkTaskManager } from '@serve.zone/spark'; import { Spark } from 'https://code.foss.global/serve.zone/spark/raw/branch/master/mod.ts';
```
const sparkInstance = new Spark(); ### Basic Usage
const myTask = {
name: 'customTask', ```typescript
import { Spark } from './mod.ts';
// Create a Spark instance
const spark = new Spark();
// Start the daemon programmatically
await spark.daemonStart();
```
### Task Scheduling
Schedule automated tasks using the built-in task manager:
```typescript
import { Spark } from './mod.ts';
const spark = new Spark();
// Define a custom task
const backupTask = {
name: 'daily-backup',
taskFunction: async () => { taskFunction: async () => {
console.log('Running custom task'); console.log('Running backup...');
// Your backup logic here
}, },
}; };
sparkInstance.sparkTaskManager.taskmanager.addAndScheduleTask(myTask, '* * * * * *'); // Schedule it to run daily at 2 AM
``` spark.sparkTaskManager.taskmanager.addAndScheduleTask(
backupTask,
The example above creates a simple task that logs a message every second, demonstrating how to use Spark's task manager for custom scheduled tasks. '0 2 * * *'
### Detailed Service Management
For advanced configurations, including Docker and service management, you can utilize the following patterns:
- Use `SparkUpdateManager` to handle Docker image updates, service creation, and management.
- Access and modify Docker and service configurations through Spark's integration with configuration files and environment variables.
```typescript
// Managing Docker services with Spark
await sparkInstance.sparkUpdateManager.dockerHost.someDockerMethod();
// Example: Creating a Docker service
const newServiceDefinition = {...};
await sparkInstance.sparkUpdateManager.createService(newServiceDefinition);
```
### CLI Commands
Spark provides several CLI commands to interact with and manage the system services:
#### Installing Spark as a Daemon
```shell
spark installdaemon
```
Sets up Spark as a system service to maintain server configurations automatically.
#### Updating the Daemon
```shell
spark updatedaemon
```
Updates the daemon service if a new version is available.
#### Running Spark as Daemon
```shell
spark asdaemon
```
Runs Spark in daemon mode, which is suitable for executing automated tasks.
#### Viewing Logs
```shell
spark logs
```
Views the logs of the Spark daemon service.
#### Cleaning Up Services
```shell
spark prune
```
Stops and cleans up all Docker services (stacks, networks, secrets, etc.) and prunes the Docker system.
### Programmatic Daemon Management
You can also manage the daemon programmatically:
```typescript
import { SmartDaemon } from '@push.rocks/smartdaemon';
import { Spark } from '@serve.zone/spark';
const sparkInstance = new Spark();
const smartDaemon = new SmartDaemon();
const startDaemon = async () => {
const sparkService = await smartDaemon.addService({
name: 'spark',
version: sparkInstance.sparkInfo.projectInfo.version,
command: 'spark asdaemon',
description: 'Spark daemon service',
workingDir: '/path/to/project',
});
await sparkService.save();
await sparkService.enable();
await sparkService.start();
};
const updateDaemon = async () => {
const sparkService = await smartDaemon.addService({
name: 'spark',
version: sparkInstance.sparkInfo.projectInfo.version,
command: 'spark asdaemon',
description: 'Spark daemon service',
workingDir: '/path/to/project',
});
await sparkService.reload();
};
startDaemon();
updateDaemon();
```
This illustrates how to initiate and update the Spark daemon using the `SmartDaemon` class from `@push.rocks/smartdaemon`.
### Configuration Management
Extensive configuration management is possible through the `SparkLocalConfig` and other configuration classes. This feature allows you to make your application's behavior adaptable based on different environments and requirements.
```typescript
// Example on setting local config
import { SparkLocalConfig } from '@serve.zone/spark';
const localConfig = new SparkLocalConfig(sparkInstance);
await localConfig.kvStore.set('someKey', 'someValue');
// Retrieving a value from local config
const someConfigValue = await localConfig.kvStore.get('someKey');
console.log(someConfigValue); // Outputs: someValue
```
### Detailed Log Management
Logging is a crucial aspect of any automation tool, and `@serve.zone/spark` offers rich logging functionality through its built-in logging library.
```typescript
import { logger, Spark } from '@serve.zone/spark';
const sparkInstance = new Spark();
logger.log('info', 'Spark instance created.');
// Using logger in various levels of severity
logger.log('debug', 'This is a debug message');
logger.log('warn', 'This is a warning message');
logger.log('error', 'This is an error message');
logger.log('ok', 'This is a success message');
```
### Real-World Scenarios
#### Automated System Update and Restart
In real-world scenarios, you might want to automate system updates and reboots to ensure your services are running the latest security patches and features.
```typescript
import { Spark } from '@serve.zone/spark';
import { SmartShell } from '@push.rocks/smartshell';
const sparkInstance = new Spark();
const shell = new SmartShell({ executor: 'bash' });
const updateAndRestart = async () => {
await shell.exec('apt-get update && apt-get upgrade -y');
console.log('System updated.');
await shell.exec('reboot');
};
sparkInstance.sparkTaskManager.taskmanager.addAndScheduleTask(
{ name: 'updateAndRestart', taskFunction: updateAndRestart },
'0 3 * * 7' // Every Sunday at 3 AM
); );
``` ```
This example demonstrates creating and scheduling a task to update and restart the server every Sunday at 3 AM using Spark's task management capabilities. ### Service Management
#### Integrating with Docker for Service Deployment Manage Docker services programmatically:
Spark's tight integration with Docker makes it an excellent tool for deploying containerized applications across your infrastructure.
```typescript ```typescript
import { Spark } from '@serve.zone/spark'; import { Spark } from './mod.ts';
import { DockerHost } from '@apiclient.xyz/docker';
const sparkInstance = new Spark(); const spark = new Spark();
const dockerHost = new DockerHost({});
const deployService = async () => { // Add a service to manage
const image = await dockerHost.pullImage('my-docker-repo/my-service:latest'); spark.sparkUpdateManager.services.push({
const newService = await dockerHost.createService({ name: 'my-app',
name: 'my-service', image: 'code.foss.global/myorg/myapp',
image, url: 'myapp',
ports: ['80:8080'], environment: 'production',
environmentVariables: { port: '3000',
NODE_ENV: 'production', secretJson: {
API_KEY: 'secret-value',
DATABASE_URL: 'postgresql://...',
},
});
// Start managing services
await spark.sparkUpdateManager.start();
```
### Configuration Management
Access and modify Spark's configuration:
```typescript
import { Spark } from './mod.ts';
const spark = new Spark();
// Write configuration
await spark.sparkConfig.kvStore.writeKey('mode', 'cloudly');
// Read configuration
const mode = await spark.sparkConfig.kvStore.readKey('mode');
console.log(`Current mode: ${mode}`);
```
### Logging
Use Spark's built-in logger for consistent logging:
```typescript
import { logger } from './ts/spark.logging.ts';
// Log at different levels
logger.log('info', 'Application starting...');
logger.log('ok', 'Service deployed successfully');
logger.log('warn', 'High memory usage detected');
logger.log('error', 'Failed to connect to database');
logger.log('success', 'Backup completed');
```
## 🏗️ Architecture
### Core Components
```
┌─────────────────────────────────────────┐
│ Spark Instance │
├─────────────────────────────────────────┤
│ │
│ ┌─────────────────────────────────┐ │
│ │ SparkConfig │ │
│ │ - KV Store │ │
│ │ - Mode Configuration │ │
│ └─────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────┐ │
│ │ SparkTaskManager │ │
│ │ - Cron Scheduling │ │
│ │ - Task Execution │ │
│ └─────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────┐ │
│ │ SparkServicesManager │ │
│ │ - Docker Integration │ │
│ │ - Service Updates │ │
│ │ - Secret Management │ │
│ └─────────────────────────────────┘ │
│ │
│ ┌─────────────────────────────────┐ │
│ │ SmartDaemon │ │
│ │ - Systemd Integration │ │
│ │ - Service Lifecycle │ │
│ └─────────────────────────────────┘ │
│ │
└─────────────────────────────────────────┘
```
### Key Classes
- **`Spark`** - Main orchestrator class that coordinates all components
- **`SparkConfig`** - Handles configuration storage and retrieval
- **`SparkTaskManager`** - Manages scheduled tasks and automation
- **`SparkServicesManager`** - Manages Docker services and updates
- **`SparkInfo`** - Provides project and version information
## 🔄 Update Management
Spark includes self-updating capabilities:
```typescript
import { Spark } from './mod.ts';
const spark = new Spark();
// Check for and apply updates
await spark.sparkUpdateManager.updateServices();
```
The update manager:
- Pulls latest Docker images
- Manages service rollouts
- Handles zero-downtime deployments
- Manages Docker secrets securely
## 🐳 Docker Integration
### Service Definition
```typescript
const serviceDefinition = {
name: 'api-server',
image: 'code.foss.global/myorg/api',
url: 'api',
environment: 'production',
port: '8080',
secretJson: {
JWT_SECRET: 'your-jwt-secret',
DB_PASSWORD: 'your-db-password',
},
};
spark.sparkUpdateManager.services.push(serviceDefinition);
```
### Stack Management
Spark manages Docker stacks for complex multi-service deployments:
```bash
# View running stacks
docker stack ls
# Spark manages these automatically
```
## 🛠️ Development
### Prerequisites
- [Deno](https://deno.land/) v2.x or later
### Running from Source
```bash
# Clone the repository
git clone https://code.foss.global/serve.zone/spark.git
cd spark
# Run directly
deno run --allow-all mod.ts
# Run tests
deno test --allow-all test/
# Type check
deno check mod.ts
# Format code
deno fmt
# Lint
deno lint
```
### Building Binaries
Compile for all supported platforms:
```bash
bash scripts/compile-all.sh
```
Binaries will be output to `dist/binaries/`.
### Compile for Specific Platform
```bash
# Linux x64
deno compile --allow-all --output spark-linux-x64 --target x86_64-unknown-linux-gnu mod.ts
# macOS ARM64
deno compile --allow-all --output spark-macos-arm64 --target aarch64-apple-darwin mod.ts
```
## 🔐 Security
### Permissions
Spark requires the following Deno permissions:
- `--allow-net` - API communication, Docker socket access
- `--allow-read` - Configuration files, project files
- `--allow-write` - Logs, configuration updates
- `--allow-run` - systemctl, Docker commands
- `--allow-env` - Environment variables
- `--allow-sys` - System information
### Secrets Management
Always use Docker secrets for sensitive data:
```typescript
const serviceWithSecrets = {
name: 'secure-app',
image: 'myapp:latest',
secretJson: {
API_KEY: Deno.env.get('API_KEY')!,
DB_PASSWORD: Deno.env.get('DB_PASSWORD')!,
},
};
```
## 🐛 Troubleshooting
### Service Won't Start
Check the daemon status:
```bash
sudo systemctl status smartdaemon_spark
```
View recent logs:
```bash
sudo journalctl -u smartdaemon_spark -n 100
```
### Docker Issues
Verify Docker is running:
```bash
sudo systemctl status docker
```
Check Docker socket permissions:
```bash
sudo ls -la /var/run/docker.sock
```
### Configuration Issues
Check current mode:
```bash
# Run spark programmatically
deno run --allow-all -e "
import { Spark } from './mod.ts';
const s = new Spark();
const mode = await s.sparkConfig.kvStore.readKey('mode');
console.log('Mode:', mode);
"
```
## 📝 Examples
### Automated System Maintenance
```typescript
import { Spark } from './mod.ts';
const spark = new Spark();
// Schedule weekly system updates
const updateTask = {
name: 'system-update',
taskFunction: async () => {
const shell = new Deno.Command('bash', {
args: ['-c', 'apt-get update && apt-get upgrade -y'],
});
await shell.output();
},
};
// Every Sunday at 3 AM
spark.sparkTaskManager.taskmanager.addAndScheduleTask(
updateTask,
'0 3 * * 0'
);
await spark.daemonStart();
```
### Multi-Service Deployment
```typescript
import { Spark } from './mod.ts';
const spark = new Spark();
// Add multiple services
const services = [
{
name: 'frontend',
image: 'code.foss.global/myorg/frontend',
url: 'frontend',
port: '80',
environment: 'production',
},
{
name: 'backend',
image: 'code.foss.global/myorg/backend',
url: 'backend',
port: '3000',
environment: 'production',
secretJson: {
DATABASE_URL: Deno.env.get('DATABASE_URL')!,
}, },
}); },
console.log(`Service ${newService.name} deployed.`); {
}; name: 'worker',
image: 'code.foss.global/myorg/worker',
url: 'worker',
environment: 'production',
},
];
deployService(); services.forEach(svc => spark.sparkUpdateManager.services.push(svc));
await spark.daemonStart();
``` ```
This example demonstrates how to pull a Docker image and deploy it as a new service in your infrastructure using Spark's Docker integration. ## 🤝 Support
### Managing Secrets For issues, questions, or contributions:
Managing secrets and sensitive data is crucial in any configuration and automation tool. Spark's integration with Docker allows you to handle secrets securely. - 🐛 [Report Issues](https://code.foss.global/serve.zone/spark/issues)
- 📖 [View Source](https://code.foss.global/serve.zone/spark)
```typescript
import { Spark, SparkUpdateManager } from '@serve.zone/spark';
import { DockerSecret } from '@apiclient.xyz/docker';
const sparkInstance = new Spark();
const updateManager = new SparkUpdateManager(sparkInstance);
const createDockerSecret = async () => {
const secret = await DockerSecret.createSecret(updateManager.dockerHost, {
name: 'dbPassword',
contentArg: 'superSecretPassword',
});
console.log(`Secret ${secret.Spec.Name} created.`);
};
createDockerSecret();
```
This example shows how to create a Docker secret using Spark's `SparkUpdateManager` class, ensuring that sensitive information is securely stored and managed.
## License and Legal Information ## License and Legal Information
This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository. This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository.
**Please note:** The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file. **Please note:** The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.
@@ -292,9 +560,9 @@ This project is owned and maintained by Task Venture Capital GmbH. The names and
### Company Information ### Company Information
Task Venture Capital GmbH Task Venture Capital GmbH
Registered at District court Bremen HRB 35230 HB, Germany Registered at District court Bremen HRB 35230 HB, Germany
For any legal inquiries or if you require further information, please contact us via email at hello@task.vc. For any legal inquiries or if you require further information, please contact us via email at hello@task.vc.
By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works. By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.

72
scripts/compile-all.sh Executable file
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@@ -0,0 +1,72 @@
#!/bin/bash
set -e
# Get version from deno.json
VERSION=$(cat deno.json | grep -o '"version": *"[^"]*"' | cut -d'"' -f4)
BINARY_DIR="dist/binaries"
echo "================================================"
echo " SPARK Compilation Script"
echo " Version: ${VERSION}"
echo "================================================"
echo ""
echo "Compiling for all supported platforms..."
echo ""
# Clean up old binaries and create fresh directory
rm -rf "$BINARY_DIR"
mkdir -p "$BINARY_DIR"
echo "→ Cleaned old binaries from $BINARY_DIR"
echo ""
# Linux x86_64
echo "→ Compiling for Linux x86_64..."
deno compile --allow-all --no-check --output "$BINARY_DIR/spark-linux-x64" \
--target x86_64-unknown-linux-gnu mod.ts
echo " ✓ Linux x86_64 complete"
echo ""
# Linux ARM64
echo "→ Compiling for Linux ARM64..."
deno compile --allow-all --no-check --output "$BINARY_DIR/spark-linux-arm64" \
--target aarch64-unknown-linux-gnu mod.ts
echo " ✓ Linux ARM64 complete"
echo ""
# macOS x86_64
echo "→ Compiling for macOS x86_64..."
deno compile --allow-all --no-check --output "$BINARY_DIR/spark-macos-x64" \
--target x86_64-apple-darwin mod.ts
echo " ✓ macOS x86_64 complete"
echo ""
# macOS ARM64
echo "→ Compiling for macOS ARM64..."
deno compile --allow-all --no-check --output "$BINARY_DIR/spark-macos-arm64" \
--target aarch64-apple-darwin mod.ts
echo " ✓ macOS ARM64 complete"
echo ""
# Windows x86_64
echo "→ Compiling for Windows x86_64..."
deno compile --allow-all --no-check --output "$BINARY_DIR/spark-windows-x64.exe" \
--target x86_64-pc-windows-msvc mod.ts
echo " ✓ Windows x86_64 complete"
echo ""
echo "================================================"
echo " Compilation Summary"
echo "================================================"
echo ""
ls -lh "$BINARY_DIR/" | tail -n +2
echo ""
echo "✓ All binaries compiled successfully!"
echo ""
echo "Binary location: $BINARY_DIR/"
echo ""
echo "To create a release:"
echo " 1. Test the binaries on their respective platforms"
echo " 2. Create a git tag: git tag v${VERSION}"
echo " 3. Push the tag: git push origin v${VERSION}"
echo " 4. Upload the binaries to the release"
echo ""

231
scripts/install-binary.js Executable file
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@@ -0,0 +1,231 @@
#!/usr/bin/env node
/**
* SPARK npm postinstall script
* Downloads the appropriate binary for the current platform from Gitea releases
*/
import { platform, arch } from 'os';
import { existsSync, mkdirSync, writeFileSync, chmodSync, unlinkSync } from 'fs';
import { join, dirname } from 'path';
import { fileURLToPath } from 'url';
import https from 'https';
import { pipeline } from 'stream';
import { promisify } from 'util';
import { createWriteStream } from 'fs';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const streamPipeline = promisify(pipeline);
// Configuration
const REPO_BASE = 'https://code.foss.global/serve.zone/spark';
const VERSION = process.env.npm_package_version || '1.2.2';
function getBinaryInfo() {
const plat = platform();
const architecture = arch();
const platformMap = {
'darwin': 'macos',
'linux': 'linux',
'win32': 'windows'
};
const archMap = {
'x64': 'x64',
'arm64': 'arm64'
};
const mappedPlatform = platformMap[plat];
const mappedArch = archMap[architecture];
if (!mappedPlatform || !mappedArch) {
return { supported: false, platform: plat, arch: architecture };
}
let binaryName = `spark-${mappedPlatform}-${mappedArch}`;
if (plat === 'win32') {
binaryName += '.exe';
}
return {
supported: true,
platform: mappedPlatform,
arch: mappedArch,
binaryName,
originalPlatform: plat
};
}
function downloadFile(url, destination) {
return new Promise((resolve, reject) => {
console.log(`Downloading from: ${url}`);
// Follow redirects
const download = (url, redirectCount = 0) => {
if (redirectCount > 5) {
reject(new Error('Too many redirects'));
return;
}
https.get(url, (response) => {
if (response.statusCode === 301 || response.statusCode === 302) {
console.log(`Following redirect to: ${response.headers.location}`);
download(response.headers.location, redirectCount + 1);
return;
}
if (response.statusCode !== 200) {
reject(new Error(`Failed to download: ${response.statusCode} ${response.statusMessage}`));
return;
}
const totalSize = parseInt(response.headers['content-length'], 10);
let downloadedSize = 0;
let lastProgress = 0;
response.on('data', (chunk) => {
downloadedSize += chunk.length;
const progress = Math.round((downloadedSize / totalSize) * 100);
// Only log every 10% to reduce noise
if (progress >= lastProgress + 10) {
console.log(`Download progress: ${progress}%`);
lastProgress = progress;
}
});
const file = createWriteStream(destination);
pipeline(response, file, (err) => {
if (err) {
reject(err);
} else {
console.log('Download complete!');
resolve();
}
});
}).on('error', reject);
};
download(url);
});
}
async function main() {
console.log('===========================================');
console.log(' SPARK - Binary Installation');
console.log('===========================================');
console.log('');
const binaryInfo = getBinaryInfo();
if (!binaryInfo.supported) {
console.error(`❌ Error: Unsupported platform/architecture: ${binaryInfo.platform}/${binaryInfo.arch}`);
console.error('');
console.error('Supported platforms:');
console.error(' • Linux (x64, arm64)');
console.error(' • macOS (x64, arm64)');
console.error(' • Windows (x64)');
console.error('');
console.error('If you believe your platform should be supported, please file an issue:');
console.error(' https://code.foss.global/serve.zone/spark/issues');
process.exit(1);
}
console.log(`Platform: ${binaryInfo.platform} (${binaryInfo.originalPlatform})`);
console.log(`Architecture: ${binaryInfo.arch}`);
console.log(`Binary: ${binaryInfo.binaryName}`);
console.log(`Version: ${VERSION}`);
console.log('');
// Create dist/binaries directory if it doesn't exist
const binariesDir = join(__dirname, '..', 'dist', 'binaries');
if (!existsSync(binariesDir)) {
console.log('Creating binaries directory...');
mkdirSync(binariesDir, { recursive: true });
}
const binaryPath = join(binariesDir, binaryInfo.binaryName);
// Check if binary already exists and skip download
if (existsSync(binaryPath)) {
console.log('✓ Binary already exists, skipping download');
} else {
// Construct download URL
// Try release URL first, fall back to raw branch if needed
const releaseUrl = `${REPO_BASE}/releases/download/v${VERSION}/${binaryInfo.binaryName}`;
const fallbackUrl = `${REPO_BASE}/raw/branch/master/dist/binaries/${binaryInfo.binaryName}`;
console.log('Downloading platform-specific binary...');
console.log('This may take a moment depending on your connection speed.');
console.log('');
try {
// Try downloading from release
await downloadFile(releaseUrl, binaryPath);
} catch (err) {
console.log(`Release download failed: ${err.message}`);
console.log('Trying fallback URL...');
try {
// Try fallback URL
await downloadFile(fallbackUrl, binaryPath);
} catch (fallbackErr) {
console.error(`❌ Error: Failed to download binary`);
console.error(` Primary URL: ${releaseUrl}`);
console.error(` Fallback URL: ${fallbackUrl}`);
console.error('');
console.error('This might be because:');
console.error('1. The release has not been created yet');
console.error('2. Network connectivity issues');
console.error('3. The version specified does not exist');
console.error('');
console.error('You can try:');
console.error('1. Installing from source: https://code.foss.global/serve.zone/spark');
console.error('2. Downloading the binary manually from the releases page');
console.error('3. Using the install script: curl -sSL https://code.foss.global/serve.zone/spark/raw/branch/master/install.sh | sudo bash');
// Clean up partial download
if (existsSync(binaryPath)) {
unlinkSync(binaryPath);
}
process.exit(1);
}
}
console.log(`✓ Binary downloaded successfully`);
}
// On Unix-like systems, ensure the binary is executable
if (binaryInfo.originalPlatform !== 'win32') {
try {
console.log('Setting executable permissions...');
chmodSync(binaryPath, 0o755);
console.log('✓ Binary permissions updated');
} catch (err) {
console.error(`⚠️ Warning: Could not set executable permissions: ${err.message}`);
console.error(' You may need to manually run:');
console.error(` chmod +x ${binaryPath}`);
}
}
console.log('');
console.log('✅ SPARK installation completed successfully!');
console.log('');
console.log('You can now use SPARK by running:');
console.log(' spark --help');
console.log('');
console.log('For daemon setup, run:');
console.log(' sudo spark installdaemon');
console.log('');
console.log('===========================================');
}
// Run the installation
main().catch(err => {
console.error(`❌ Installation failed: ${err.message}`);
process.exit(1);
});

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#!/usr/bin/env -S deno run --allow-all
// Simple test to verify basic Deno functionality
import * as path from '@std/path';
console.log('Testing Deno migration for Spark...');
console.log('');
console.log('✅ Deno runtime works');
console.log('✅ Standard library imports work');
// Test path functionality
const testPath = path.join('/opt', 'spark');
console.log(`✅ Path operations work: ${testPath}`);
// Test basic imports from plugins
import * as smartdelay from '@push.rocks/smartdelay';
console.log('✅ @push.rocks/smartdelay import works');
import * as smartlog from '@push.rocks/smartlog';
console.log('✅ @push.rocks/smartlog import works');
console.log('');
console.log('Basic Deno functionality confirmed!');
console.log('');
console.log('Note: Full application may require additional dependency resolution');
console.log('for complex packages like @serve.zone/api that have many transitive dependencies.');

View File

@@ -1,11 +0,0 @@
import { expect, tap } from '@push.rocks/tapbundle';
import * as spark from '../ts/index.js';
let testSpark: spark.Spark;
tap.test('should create a spark instance', async () => {
testSpark = new spark.Spark();
expect(testSpark).toBeInstanceOf(spark.Spark);
});
tap.start();

30
test/test.ts Normal file
View File

@@ -0,0 +1,30 @@
import { assert, assertEquals, assertExists } from '@std/assert';
import * as spark from '../ts/index.ts';
let testSpark: spark.Spark;
Deno.test('should create a spark instance', () => {
testSpark = new spark.Spark();
assert(testSpark instanceof spark.Spark);
assertExists(testSpark);
});
Deno.test('should have spark info', () => {
assertExists(testSpark.sparkInfo);
assertExists(testSpark.sparkInfo.projectInfo);
assertEquals(typeof testSpark.sparkInfo.projectInfo.name, 'string');
});
Deno.test('should have spark config', () => {
assertExists(testSpark.sparkConfig);
assertExists(testSpark.sparkConfig.kvStore);
});
Deno.test('should have update manager', () => {
assertExists(testSpark.sparkUpdateManager);
assert(Array.isArray(testSpark.sparkUpdateManager.services));
});
Deno.test('should have task manager', () => {
assertExists(testSpark.sparkTaskManager);
});

View File

@@ -3,6 +3,6 @@
*/ */
export const commitinfo = { export const commitinfo = {
name: '@serve.zone/spark', name: '@serve.zone/spark',
version: '1.2.0', version: '1.2.3',
description: 'A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.' description: 'A comprehensive tool for maintaining and configuring servers, integrating with Docker and supporting advanced task scheduling, targeted at the Servezone infrastructure and used by @serve.zone/cloudly as a cluster node server system manager.'
} }

View File

@@ -1,6 +1,6 @@
export * from './spark.classes.spark.js'; export * from './spark.classes.spark.ts';
import * as cli from './spark.cli.js'; import * as cli from './spark.cli.ts';
export const runCli = async () => { export const runCli = async () => {
cli.runCli(); cli.runCli();

View File

@@ -1,9 +1,14 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import { Spark } from './index.js'; import { Spark } from './index.ts';
export class SparkConfig { export class SparkConfig {
public sparkRef: Spark; public sparkRef: Spark;
public kvStore: plugins.npmextra.KeyValueStore;
constructor(sparkRefArg: Spark) { constructor(sparkRefArg: Spark) {
this.sparkRef = sparkRefArg; this.sparkRef = sparkRefArg;
this.kvStore = new plugins.npmextra.KeyValueStore({
typeArg: 'userHomeDir',
identityArg: 'servezone_spark',
});
} }
} }

View File

@@ -1,6 +1,6 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import * as paths from './spark.paths.js'; import * as paths from './spark.paths.ts';
import { Spark } from './spark.classes.spark.js'; import { Spark } from './spark.classes.spark.ts';
export class SparkInfo { export class SparkInfo {
public sparkRef: Spark; public sparkRef: Spark;

View File

@@ -1,15 +0,0 @@
import * as plugins from './spark.plugins.js';
import { Spark } from './index.js';
export class SparkLocalConfig {
public sparkRef: Spark;
private kvStore: plugins.npmextra.KeyValueStore;
constructor(sparkRefArg: Spark) {
this.sparkRef = sparkRefArg;
this.kvStore = new plugins.npmextra.KeyValueStore({
typeArg: 'userHomeDir',
identityArg: 'servezone_spark',
});
}
}

View File

@@ -1,23 +1,23 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import { SparkTaskManager } from './spark.classes.taskmanager.js'; import { SparkTaskManager } from './spark.classes.taskmanager.ts';
import { SparkInfo } from './spark.classes.info.js'; import { SparkInfo } from './spark.classes.info.ts';
import { SparkUpdateManager } from './spark.classes.updatemanager.js'; import { SparkServicesManager } from './spark.classes.updatemanager.ts';
import { logger } from './spark.logging.js'; import { logger } from './spark.logging.ts';
import { SparkLocalConfig } from './spark.classes.localconfig.js'; import { SparkConfig } from './spark.classes.config.ts';
export class Spark { export class Spark {
public smartdaemon: plugins.smartdaemon.SmartDaemon; public smartdaemon: plugins.smartdaemon.SmartDaemon;
public sparkLocalConfig: SparkLocalConfig; public sparkConfig: SparkConfig;
public sparkTaskManager: SparkTaskManager; public sparkTaskManager: SparkTaskManager;
public sparkInfo: SparkInfo; public sparkInfo: SparkInfo;
public sparkUpdateManager: SparkUpdateManager; public sparkUpdateManager: SparkServicesManager;
constructor() { constructor() {
this.smartdaemon = new plugins.smartdaemon.SmartDaemon(); this.smartdaemon = new plugins.smartdaemon.SmartDaemon();
this.sparkLocalConfig = new SparkLocalConfig(this); this.sparkConfig = new SparkConfig(this);
this.sparkInfo = new SparkInfo(this); this.sparkInfo = new SparkInfo(this);
this.sparkTaskManager = new SparkTaskManager(this); this.sparkTaskManager = new SparkTaskManager(this);
this.sparkUpdateManager = new SparkUpdateManager(this); this.sparkUpdateManager = new SparkServicesManager(this);
} }
public async daemonStart() { public async daemonStart() {

View File

@@ -1,32 +1,21 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import { Spark } from './index.js'; import { Spark } from './index.ts';
import * as paths from './spark.paths.js'; import * as paths from './spark.paths.ts';
import { logger } from './spark.logging.js'; import { logger } from './spark.logging.ts';
export class SparkTaskManager { export class SparkTaskManager {
public sparkRef: Spark; public sparkRef: Spark;
public taskmanager: plugins.taskbuffer.TaskManager; public taskmanager: plugins.taskbuffer.TaskManager;
// tasks // tasks
public checkinSlackTask: plugins.taskbuffer.Task;
public updateSpark: plugins.taskbuffer.Task; public updateSpark: plugins.taskbuffer.Task;
public updateHost: plugins.taskbuffer.Task; public updateHost: plugins.taskbuffer.Task;
public updateCloudly: plugins.taskbuffer.Task; public updateServices: plugins.taskbuffer.Task;
constructor(sparkRefArg: Spark) { constructor(sparkRefArg: Spark) {
this.sparkRef = sparkRefArg; this.sparkRef = sparkRefArg;
this.taskmanager = new plugins.taskbuffer.TaskManager(); this.taskmanager = new plugins.taskbuffer.TaskManager();
// checkinOnSlack
this.checkinSlackTask = new plugins.taskbuffer.Task({
name: 'checkinSlack',
taskFunction: async () => {
logger.log('ok', 'running hourly checkin now');
logger.log('info', 'completed hourly checkin');
},
});
// updateSpark // updateSpark
this.updateSpark = new plugins.taskbuffer.Task({ this.updateSpark = new plugins.taskbuffer.Task({
name: 'updateSpark', name: 'updateSpark',
@@ -48,7 +37,7 @@ export class SparkTaskManager {
logger.log('info', 'Cooling off before restart...'); logger.log('info', 'Cooling off before restart...');
await plugins.smartdelay.delayFor(5000); await plugins.smartdelay.delayFor(5000);
logger.log('ok', '######## Trying to exit / Restart expected... ########'); logger.log('ok', '######## Trying to exit / Restart expected... ########');
process.exit(0); Deno.exit(0);
} }
}, },
}); });
@@ -67,7 +56,10 @@ export class SparkTaskManager {
}, },
}); });
this.updateCloudly = new plugins.taskbuffer.Task({ /**
* only being run when mode is cloudly
*/
this.updateServices = new plugins.taskbuffer.Task({
name: 'updateCloudly', name: 'updateCloudly',
taskFunction: async () => { taskFunction: async () => {
logger.log('info', 'now running updateCloudly task'); logger.log('info', 'now running updateCloudly task');
@@ -80,10 +72,9 @@ export class SparkTaskManager {
* start the taskmanager * start the taskmanager
*/ */
public async start() { public async start() {
this.taskmanager.addAndScheduleTask(this.checkinSlackTask, '0 0 * * * *'); this.taskmanager.addAndScheduleTask(this.updateServices, '30 */2 * * * *');
this.taskmanager.addAndScheduleTask(this.updateSpark, '0 * * * * *'); this.taskmanager.addAndScheduleTask(this.updateSpark, '0 * * * * *');
this.taskmanager.addAndScheduleTask(this.updateHost, '0 0 0 * * *'); this.taskmanager.addAndScheduleTask(this.updateHost, '0 0 0 * * *');
this.taskmanager.addAndScheduleTask(this.updateCloudly, '30 */2 * * * *');
this.taskmanager.start(); this.taskmanager.start();
} }
@@ -91,10 +82,9 @@ export class SparkTaskManager {
* stops the taskmanager * stops the taskmanager
*/ */
public async stop() { public async stop() {
this.taskmanager.descheduleTask(this.checkinSlackTask);
this.taskmanager.descheduleTask(this.updateSpark); this.taskmanager.descheduleTask(this.updateSpark);
this.taskmanager.descheduleTask(this.updateHost); this.taskmanager.descheduleTask(this.updateHost);
this.taskmanager.descheduleTask(this.updateCloudly); this.taskmanager.descheduleTask(this.updateServices);
this.taskmanager.stop(); this.taskmanager.stop();
} }
} }

View File

@@ -1,12 +1,28 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import * as paths from './spark.paths.js'; import * as paths from './spark.paths.ts';
import { Spark } from './spark.classes.spark.js'; import { Spark } from './spark.classes.spark.ts';
import { logger } from './spark.logging.js'; import { logger } from './spark.logging.ts';
export class SparkUpdateManager { /**
* this class takes care of updating the services that are managed by spark
*/
export class SparkServicesManager {
public sparkRef: Spark; public sparkRef: Spark;
public dockerHost: plugins.docker.DockerHost; public dockerHost: plugins.docker.DockerHost;
public smartupdate: plugins.smartupdate.SmartUpdate; public smartupdate: plugins.smartupdate.SmartUpdate;
/**
* the services that are managed by spark
*/
services: Array<{
name: string;
image: string;
url: string;
port: string;
environment: string;
secretJson: any;
}> = [];
constructor(sparkrefArg: Spark) { constructor(sparkrefArg: Spark) {
this.sparkRef = sparkrefArg; this.sparkRef = sparkrefArg;
this.dockerHost = new plugins.docker.DockerHost({}); this.dockerHost = new plugins.docker.DockerHost({});
@@ -21,109 +37,58 @@ export class SparkUpdateManager {
} }
public async updateServices() { public async updateServices() {
if ( for (const service of this.services) {
plugins.smartfile.fs.isDirectory(plugins.path.join(paths.homeDir, 'serve.zone/spark')) && const existingService = await plugins.docker.DockerService.getServiceByName(
(await plugins.smartfile.fs.fileExists( this.dockerHost,
plugins.path.join(paths.homeDir, 'serve.zone/spark/spark.json') service.name
)) );
) { const existingServiceSecret = await plugins.docker.DockerSecret.getSecretByName(
const services: Array<{ this.dockerHost,
name: string; `${service.name}Secret`
image: string; );
url: string; if (existingService) {
port: string; const needsUpdate: boolean = await existingService.needsUpdate();
environment: string; if (!needsUpdate) {
secretJson: any; logger.log('info', `service >>${service.name}<< not needing update.`);
}> = []; // we simply return here to end the functions
// lets add coreflow return;
services.push({
name: `coreflow`,
image: `code.foss.global/serve.zone/coreflow`,
url: `coreflow`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
services.push({
name: `coretraffic`,
image: `code.foss.global/serve.zone/coretraffic`,
url: `coreflow`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
services.push({
name: `corelog`,
image: `code.foss.global/serve.zone/corelog`,
url: `coreflow`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
// lets add coretraffic
for (const service of services) {
const existingService = await plugins.docker.DockerService.getServiceByName(
this.dockerHost,
service.name
);
const existingServiceSecret = await plugins.docker.DockerSecret.getSecretByName(
this.dockerHost,
`${service.name}Secret`
);
if (existingService) {
const needsUpdate: boolean = await existingService.needsUpdate();
if (!needsUpdate) {
logger.log('info', `not needing update.`);
// we simply return here to end the functions
return;
}
logger.log('ok', `${service.name} needs to be updated!`);
await existingService.remove();
await existingServiceSecret.remove();
} }
if (!existingService && existingServiceSecret) { // continuing here means we need to update the service
await existingServiceSecret.remove(); logger.log('ok', `${service.name} needs to be updated!`);
} await existingService.remove();
await existingServiceSecret.remove();
const newServiceImage = await plugins.docker.DockerImage.createFromRegistry(
this.dockerHost,
{
creationObject: {
imageUrl: service.image,
},
}
);
const newServiceSecret = await plugins.docker.DockerSecret.createSecret(this.dockerHost, {
name: `${service.name}Secret`,
contentArg: plugins.smartjson.stringify(service.secretJson),
version: await newServiceImage.getVersion(),
labels: {},
});
const newService = await plugins.docker.DockerService.createService(this.dockerHost, {
image: newServiceImage,
labels: {},
name: service.name,
networkAlias: service.name,
networks: [],
secrets: [newServiceSecret],
ports: [`${service.port}:${service.secretJson.SERVEZONE_PORT}`],
});
logger.log('ok', `updated service >>${newService.Spec.Name}<<!`);
} }
logger.log('success', `updated ${services.length} services!`); if (!existingService && existingServiceSecret) {
await existingServiceSecret.remove();
}
const newServiceImage = await plugins.docker.DockerImage.createFromRegistry(
this.dockerHost,
{
creationObject: {
imageUrl: service.image,
},
}
);
const newServiceSecret = await plugins.docker.DockerSecret.createSecret(this.dockerHost, {
name: `${service.name}Secret`,
contentArg: plugins.smartjson.stringify(service.secretJson),
version: await newServiceImage.getVersion(),
labels: {},
});
const newService = await plugins.docker.DockerService.createService(this.dockerHost, {
image: newServiceImage,
labels: {},
name: service.name,
networkAlias: service.name,
networks: [],
secrets: [newServiceSecret],
ports: [`${service.port}:${service.secretJson.SERVEZONE_PORT}`],
});
logger.log('ok', `updated service >>${newService.Spec.Name}<<!`);
} }
logger.log('success', `updated ${this.services.length} services!`);
} }
} }

View File

@@ -1,7 +1,7 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import * as paths from './spark.paths.js'; import * as paths from './spark.paths.ts';
import { Spark } from './spark.classes.spark.js'; import { Spark } from './spark.classes.spark.ts';
import { logger } from './spark.logging.js'; import { logger } from './spark.logging.ts';
export const runCli = async () => { export const runCli = async () => {
const smartshellInstance = new plugins.smartshell.Smartshell({ const smartshellInstance = new plugins.smartshell.Smartshell({
@@ -45,6 +45,50 @@ export const runCli = async () => {
smartcliInstance.addCommand('asdaemon').subscribe(async (argvArg) => { smartcliInstance.addCommand('asdaemon').subscribe(async (argvArg) => {
logger.log('success', 'looks like we are running as daemon now'); logger.log('success', 'looks like we are running as daemon now');
logger.log('info', 'starting spark in daemon mode'); logger.log('info', 'starting spark in daemon mode');
// lets determine the mode if specified
let mode = argvArg.mode;
if (mode === 'cloudly') {
await sparkInstance.sparkConfig.kvStore.writeKey('mode', 'cloudly');
} else if (mode === 'coreflow-node') {
await sparkInstance.sparkConfig.kvStore.writeKey('mode', 'coreflow-node');
} else if (mode) {
logger.log('error', 'unknown mode specified');
Deno.exit(1);
} else {
// mode is not specified by cli, lets get it from the config
mode = await sparkInstance.sparkConfig.kvStore.readKey('mode');
}
if (!mode) {
logger.log('error', 'no mode specified by either cli or config');
Deno.exit(1);
} else if (mode === 'cloudly') {
sparkInstance.sparkUpdateManager.services.push({
name: `coreflow`,
image: `code.foss.global/serve.zone/cloudly`,
url: `cloudly`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
} else if (mode === 'coreflow-node') {
sparkInstance.sparkUpdateManager.services.push({
name: `coreflow`,
image: `code.foss.global/serve.zone/coreflow`,
url: `coreflow`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
}
await sparkInstance.daemonStart(); await sparkInstance.daemonStart();
}); });

View File

@@ -1,6 +1,6 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
import * as paths from './spark.paths.js'; import * as paths from './spark.paths.ts';
import { commitinfo } from './00_commitinfo_data.js'; import { commitinfo } from './00_commitinfo_data.ts';
const projectInfoNpm = new plugins.projectinfo.ProjectinfoNpm(paths.packageDir); const projectInfoNpm = new plugins.projectinfo.ProjectinfoNpm(paths.packageDir);

View File

@@ -1,4 +1,4 @@
import * as plugins from './spark.plugins.js'; import * as plugins from './spark.plugins.ts';
export const packageDir = plugins.path.join(plugins.smartpath.get.dirnameFromImportMetaUrl(import.meta.url), '../'); export const packageDir = plugins.path.join(plugins.smartpath.get.dirnameFromImportMetaUrl(import.meta.url), '../');
export const homeDir = plugins.smartpath.get.home(); export const homeDir = plugins.smartpath.get.home();

View File

@@ -1,5 +1,5 @@
// node native scope // std library scope
import * as path from 'path'; import * as path from '@std/path';
export { path }; export { path };

View File

@@ -1,14 +0,0 @@
{
"compilerOptions": {
"experimentalDecorators": true,
"useDefineForClassFields": false,
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"esModuleInterop": true,
"verbatimModuleSyntax": true
},
"exclude": [
"dist_*/**/*.d.ts"
]
}

140
uninstall.sh Executable file
View File

@@ -0,0 +1,140 @@
#!/bin/bash
# SPARK Uninstaller Script
# Completely removes SPARK from the system
# Check if running as root
if [ "$EUID" -ne 0 ]; then
echo "Please run as root (sudo ./uninstall.sh)"
exit 1
fi
# This script can be called directly or through the CLI
# When called through the CLI, environment variables are set
# REMOVE_CONFIG=yes|no - whether to remove configuration files
# REMOVE_DATA=yes|no - whether to remove data files
# If not set through CLI, use defaults
REMOVE_CONFIG=${REMOVE_CONFIG:-"no"}
REMOVE_DATA=${REMOVE_DATA:-"no"}
echo "SPARK Uninstaller"
echo "================="
echo "This will completely remove SPARK from your system."
# Find the directory where this script is located
SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"
# Step 1: Stop and disable the systemd service if it exists
if [ -f "/etc/systemd/system/spark.service" ]; then
echo "Stopping SPARK service..."
systemctl stop spark.service 2>/dev/null
echo "Disabling SPARK service..."
systemctl disable spark.service 2>/dev/null
echo "Removing systemd service file..."
rm -f /etc/systemd/system/spark.service
echo "Reloading systemd daemon..."
systemctl daemon-reload
fi
# Also check for legacy smartdaemon_spark service
if [ -f "/etc/systemd/system/smartdaemon_spark.service" ]; then
echo "Stopping legacy smartdaemon_spark service..."
systemctl stop smartdaemon_spark.service 2>/dev/null
echo "Disabling legacy smartdaemon_spark service..."
systemctl disable smartdaemon_spark.service 2>/dev/null
echo "Removing legacy systemd service file..."
rm -f /etc/systemd/system/smartdaemon_spark.service
echo "Reloading systemd daemon..."
systemctl daemon-reload
fi
# Step 2: Remove global symlinks
if [ -L "/usr/local/bin/spark" ]; then
echo "Removing global symlink from /usr/local/bin/spark..."
rm -f /usr/local/bin/spark
fi
if [ -L "/usr/bin/spark" ]; then
echo "Removing global symlink from /usr/bin/spark..."
rm -f /usr/bin/spark
fi
# Step 3: Remove configuration if requested
if [ "$REMOVE_CONFIG" = "yes" ]; then
if [ -d "/etc/spark" ]; then
echo "Removing configuration directory /etc/spark..."
rm -rf /etc/spark
fi
else
if [ -d "/etc/spark" ]; then
echo "Configuration preserved in /etc/spark (use --remove-config to remove)"
fi
fi
# Step 4: Remove data if requested
if [ "$REMOVE_DATA" = "yes" ]; then
if [ -d "/var/lib/spark" ]; then
echo "Removing data directory /var/lib/spark..."
rm -rf /var/lib/spark
fi
if [ -d "/var/log/spark" ]; then
echo "Removing log directory /var/log/spark..."
rm -rf /var/log/spark
fi
else
if [ -d "/var/lib/spark" ] || [ -d "/var/log/spark" ]; then
echo "Data and logs preserved (use --remove-data to remove)"
fi
fi
# Step 5: Remove installation directory
if [ -d "/opt/spark" ]; then
echo "Removing installation directory /opt/spark..."
rm -rf /opt/spark
fi
# Step 6: Clean up Docker containers and images if any
echo "Checking for SPARK-managed Docker resources..."
# List all containers with spark labels
SPARK_CONTAINERS=$(docker ps -aq --filter "label=com.servezone.spark" 2>/dev/null)
if [ -n "$SPARK_CONTAINERS" ]; then
echo "Stopping and removing SPARK-managed containers..."
docker stop $SPARK_CONTAINERS 2>/dev/null
docker rm $SPARK_CONTAINERS 2>/dev/null
fi
echo ""
echo "================================================"
echo " SPARK Uninstallation Complete"
echo "================================================"
echo ""
echo "SPARK has been removed from your system."
if [ "$REMOVE_CONFIG" = "no" ] && [ -d "/etc/spark" ]; then
echo ""
echo "Configuration has been preserved in /etc/spark"
echo "To remove it, run: sudo rm -rf /etc/spark"
fi
if [ "$REMOVE_DATA" = "no" ]; then
if [ -d "/var/lib/spark" ] || [ -d "/var/log/spark" ]; then
echo ""
echo "Data and logs have been preserved in:"
[ -d "/var/lib/spark" ] && echo " - /var/lib/spark"
[ -d "/var/log/spark" ] && echo " - /var/log/spark"
echo "To remove them, run:"
[ -d "/var/lib/spark" ] && echo " sudo rm -rf /var/lib/spark"
[ -d "/var/log/spark" ] && echo " sudo rm -rf /var/log/spark"
fi
fi
echo ""
echo "Thank you for using SPARK!"
echo ""