MCP HubMCP Hub
Zurück zu Fähigkeiten

json-config-loader-1-keyvalue-configuration-parsing

vamseeachanta
Aktualisiert Today
7 Ansichten
3
2
3
Auf GitHub ansehen
Anderegeneral

Über

Diese Fähigkeit analysiert einfache Schlüssel=Wert-Konfigurationsdateien, unterstützt Kommentare, Leerzeilen und in Anführungszeichen gesetzte Werte. Sie ist nützlich, wenn Sie Konfigurationsdaten aus Dateien in ein assoziatives Array in Bash-Skripten einlesen müssen. Entwickler sollten dies für die Handhabung grundlegender Konfigurationsparsing-Aufgaben in ihren Shell-Skripten verwenden.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add vamseeachanta/workspace-hub
Plugin-BefehlAlternativ
/plugin add https://github.com/vamseeachanta/workspace-hub
Git CloneAlternativ
git clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/json-config-loader-1-keyvalue-configuration-parsing

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

1. Key=Value Configuration Parsing (+1)

1. Key=Value Configuration Parsing

Parse simple key=value configuration files:

#!/bin/bash
# ABOUTME: Parse key=value configuration files
# ABOUTME: Supports comments, empty lines, and quoted values

CONFIG_FILE="${1:-config.conf}"

# Declare associative array for config
declare -A CONFIG

# Parse configuration file
parse_config() {
    local file="$1"

    if [[ ! -f "$file" ]]; then
        echo "Error: Config file not found: $file" >&2
        return 1
    fi

    while IFS= read -r line || [[ -n "$line" ]]; do
        # Skip comments and empty lines
        [[ "$line" =~ ^[[:space:]]*# ]] && continue
        [[ -z "${line// /}" ]] && continue

        # Parse key=value pairs
        if [[ "$line" =~ ^([^=]+)=(.*)$ ]]; then
            local key="${BASH_REMATCH[1]}"
            local value="${BASH_REMATCH[2]}"

            # Trim whitespace
            key="${key#"${key%%[![:space:]]*}"}"
            key="${key%"${key##*[![:space:]]}"}"
            value="${value#"${value%%[![:space:]]*}"}"
            value="${value%"${value##*[![:space:]]}"}"

            # Remove surrounding quotes if present
            if [[ "$value" =~ ^\"(.*)\"$ ]] || [[ "$value" =~ ^\'(.*)\'$ ]]; then
                value="${BASH_REMATCH[1]}"
            fi

            CONFIG["$key"]="$value"
        fi
    done < "$file"
}

# Get config value with default
get_config() {
    local key="$1"
    local default="${2:-}"

    echo "${CONFIG[$key]:-$default}"
}

# Check if key exists
has_config() {
    local key="$1"
    [[ -v CONFIG[$key] ]]
}

# Usage
parse_config "$CONFIG_FILE"

# Access values
echo "Database: $(get_config 'database' 'default.db')"
echo "Port: $(get_config 'port' '8080')"

if has_config 'debug'; then
    echo "Debug mode enabled"
fi

2. JSON Configuration with jq

Load and manipulate JSON configuration:

#!/bin/bash
# ABOUTME: JSON configuration loading with jq
# ABOUTME: Provides safe defaults and nested value access

# Check jq dependency
check_jq() {
    if ! command -v jq &> /dev/null; then
        echo "Error: jq is required but not installed" >&2
        echo "Install with: apt install jq (Ubuntu) or brew install jq (Mac)" >&2
        exit 1
    fi
}

# Load JSON config file
load_json_config() {
    local file="$1"

    if [[ ! -f "$file" ]]; then
        echo "{}"
        return 1
    fi

    # Validate JSON
    if ! jq empty "$file" 2>/dev/null; then
        echo "Error: Invalid JSON in $file" >&2
        echo "{}"
        return 1
    fi

    cat "$file"
}

# Get value from JSON with default
json_get() {
    local json="$1"
    local path="$2"
    local default="${3:-}"

    local value
    value=$(echo "$json" | jq -r "$path // empty" 2>/dev/null)

    if [[ -z "$value" || "$value" == "null" ]]; then
        echo "$default"
    else
        echo "$value"
    fi
}

# Get array from JSON
json_get_array() {
    local json="$1"
    local path="$2"

    echo "$json" | jq -r "$path[]? // empty" 2>/dev/null
}

# Check if path exists in JSON
json_has() {
    local json="$1"
    local path="$2"

    local result
    result=$(echo "$json" | jq -e "$path != null" 2>/dev/null)
    [[ "$result" == "true" ]]
}

# Usage example
check_jq

CONFIG_JSON=$(load_json_config "config.json")

# Access nested values
DB_HOST=$(json_get "$CONFIG_JSON" '.database.host' 'localhost')
DB_PORT=$(json_get "$CONFIG_JSON" '.database.port' '5432')
DEBUG=$(json_get "$CONFIG_JSON" '.settings.debug' 'false')

echo "Database: $DB_HOST:$DB_PORT"
echo "Debug: $DEBUG"

# Iterate array values
echo "Enabled features:"
while IFS= read -r feature; do
    echo "  - $feature"
done < <(json_get_array "$CONFIG_JSON" '.features')

GitHub Repository

vamseeachanta/workspace-hub
Pfad: .claude/skills/_core/bash/json-config-loader/1-keyvalue-configuration-parsing

Verwandte Skills

algorithmic-art

Meta

This Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.

Skill ansehen

subagent-driven-development

Entwicklung

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

Skill ansehen

executing-plans

Design

Use the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.

Skill ansehen

cost-optimization

Andere

This Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.

Skill ansehen