Bloblang Syntax Highlighting Test

root = this
root.id = uuid_v4()
root.timestamp = now()

# Variables
let foo = "bar"
root.message = $foo

# Methods and functions
root.uppercased = this.name.uppercase()
root.replaced = this.text.replace_all("old", "new")

# Boolean and arithmetic
root.is_valid = this.count > 10 && this.status == "active"
root.total = this.price * this.quantity

# Arrays and objects
root.items = this.data.map_each(item -> {
  "name": item.name.uppercase(),
  "value": item.value * 2
})

# Deletions
root.sensitive = deleted()

# In: {"name": "alice", "text": "hello old world", "count": 15, "status": "active", "price": 10.5, "quantity": 3, "data": [{"name": "item1", "value": 5}, {"name": "item2", "value": 10}], "sensitive": "secret123"}

root.transformed = this.input.uppercase().trim()
root.uuid = uuid_v4()

# In: {"input": "  hello world  "}

input:
  kafka:
    addresses: ["localhost:9092"]
    topics: ["my-topic"]

pipeline:
  processors:
    - mapping: |
        # Transform the message
        root.id = uuid_v4()
        root.timestamp = now()
        root.data = this.payload.parse_json()

        # Uppercase all text fields
        root.title = this.payload.title.uppercase()
        root.body = this.payload.body

        # Add metadata
        meta processed_at = now()
        meta source = @kafka_topic

output:
  http_client:
    url: "https://api.example.com/data"
    verb: POST

root = this
root.id = uuid_v4()

# Conditional transformations
root.status = if this.score > 80 {
  "excellent"
} else if this.score > 60 {
  "good"
} else {
  "needs_improvement"
}

# Array operations
root.filtered_items = this.items.filter(item -> item.active == true)
root.unique_tags = this.tags.unique()

# String operations
root.email = this.email.lowercase().trim()
root.name = this.first_name + " " + this.last_name

# Error handling
root.safe_value = this.risky_field.catch("default_value")

# Delete sensitive fields
root.password = deleted()

# In: {"score": 85, "items": [{"name": "a", "active": true}, {"name": "b", "active": false}, {"name": "c", "active": true}], "tags": ["red", "blue", "red", "green"], "email": "  JOHN@EXAMPLE.COM  ", "first_name": "John", "last_name": "Doe", "password": "secret"}

# Simple example showing basic transformations
root.message = this.text.uppercase()
root.length = this.text.length()
root.sorted = this.items.sort()
root.unique_nums = this.numbers.unique()
root.id = uuid_v4()

# In: {"text": "hello world", "items": ["c", "a", "b"], "numbers": [1, 2, 2, 3, 3, 3]}

# This example shows the multi-line # In: format
root.fullName = this.first + " " + this.last
root.age = this.age + 1

# In:
# {
#   "first": "Jane",
#   "last": "Smith",
#   "age": 29
# }

input:
  kafka:
    addresses: ["localhost:9092"]
    topics: ["events"]

pipeline:
  processors:
    - switch:
        - check: this.type == "order"
          processors:
            - mapping: |
                root = this
                root.processed_at = now()
                root.order_id = uuid_v4()

        - check: this.type == "user"
          processors:
            - mapping: |
                root.user = this
                root.user.email = this.email.lowercase()

output:
  stdout: {}

pipeline:
  processors:
    - branch:
        request_map: |
          root.url = "https://api.example.com/enrich"
          root.body = this.id

        processors:
          - http:
              url: "${! this.url }"
              verb: POST

        result_map: |
          root.enriched = this
          root.enriched.fetched_at = now()

input:
  kafka:
    addresses: ["localhost:9092"]
    topics: ["events"]
    consumer_group: "${! env(\"CONSUMER_GROUP\") }"

pipeline:
  processors:
    - cache:
        resource: my_cache
        key: "${! meta(\"kafka_key\") }"
        value: "${! content().hash(\"xxhash64\") }"

    - dedupe:
        key: "${! this.id }-${! meta(\"kafka_partition\") }"

output:
  http_client:
    url: "${! env(\"TARGET_URL\") }/ingest"

label: weather-service
processors:
  - label: validate_inputs
    mutation: |
      # Validate and sanitize city input
      meta city = this.city.string().
        re_replace_all("[^a-zA-Z\\s\\-]", "").
        trim()

      # Check for empty input
      root = if @city == "" {
        throw("City name cannot be empty")
      } else { "" }

  - label: fetch_weather_data
    try:
      - http:
          url: "https://wttr.in/${! @city }?format=j1"
          verb: GET
          headers:
            User-Agent: "redpanda-connect-mcp/1.0"
          timeout: "10s"
      - mutation: |
          root = {
            "city": @city,
            "temperature_c": this.current_condition.0.temp_C.number(),
            "temperature_f": this.current_condition.0.temp_F.number(),
            "feels_like_c": this.current_condition.0.FeelsLikeC.number(),
            "humidity": this.current_condition.0.humidity.number(),
            "description": this.current_condition.0.weatherDesc.0.value,
            "wind_speed_kmh": this.current_condition.0.windspeedKmph.number(),
            "timestamp": now().format_timestamp("2006-01-02T15:04:05Z07:00")
          }
      - log:
          message: "Weather data fetched for city: ${! @city }"
          level: "INFO"

  - label: handle_weather_errors
    catch:
      - mutation: |
          root = {
            "error": "Failed to fetch weather data",
            "city": @city,
            "details": error(),
            "timestamp": now().format_timestamp("2006-01-02T15:04:05Z07:00")
          }
      - log:
          message: "Weather API error for city ${! @city }: ${! error() }"
          level: "ERROR"

meta:
  tags: [ weather, example ]
  mcp:
    enabled: true
    description: "Get current weather conditions for any city worldwide"

label: parse-data-by-type
processors:
  - label: conditional_processing
    switch:
      - check: this.data_type == "json"
        processors:
          - mapping: |
              root.parsed_data = this.content.parse_json()
              root.format = "json"
      - check: this.data_type == "csv"
        processors:
          - mapping: |
              root.parsed_data = this.content.parse_csv()
              root.format = "csv"
      - processors:
          - mapping: |
              root.error = "Unsupported data type"
              root.supported_types = ["json", "csv"]

meta:
  mcp:
    enabled: true
    description: "Parse data based on specified type"

input:
  generate:
    count: 1
    interval: ""
    mapping: |
      root = {"request": "data"}

pipeline:
  processors:
    - try:
        - http:
            url: "https://api.example.com/data"
            verb: GET

    - catch:
        - mutation: |
            root.error = true
            root.message = "Request failed: " + error()

output:
  stdout: {}

apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
  labels:
    app: my-app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: my-app
  template:
    metadata:
      labels:
        app: my-app
    spec:
      containers:
        - name: my-app
          image: my-registry/my-app:latest
          ports:
            - containerPort: 8080
          env:
            - name: DATABASE_URL
              value: "postgres://localhost:5432/mydb"

input:
  generate:
    interval: 5s
    count: 0
    mapping: |
      let jokes = [
        "Why don't scientists trust atoms? Because they make up everything!",
        "I'm reading a book about anti-gravity. It's impossible to put down!"
      ]
      root = jokes.index(random_int(seed: timestamp_unix_nano(), max: jokes.length() - 1))
output:
  redpanda:
    topic: dad-jokes