nika-init 0.64.0

Nika project scaffolding — course generator, workflow templates, showcase
Documentation 
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# =============================================================================
# SHOWCASE 12 — Data ETL Pipeline
# =============================================================================
# requires_llm: true
# category: advanced
#
# Extract-Transform-Load: fetches API data, transforms with exec:,
# enriches with LLM, validates with structured output, writes artifacts.

schema: "nika/workflow@0.12"
workflow: data-etl-pipeline
provider: "{{PROVIDER}}"
model: "{{MODEL}}"

artifacts:
  dir: .

tasks:
  - id: extract_users
    fetch:
      url: "https://jsonplaceholder.typicode.com/users"
      timeout: 15
    artifact:
      path: output/etl/raw-users.json
      format: json

  - id: extract_posts
    fetch:
      url: "https://jsonplaceholder.typicode.com/posts"
      timeout: 15

  - id: extract_comments
    fetch:
      url: "https://jsonplaceholder.typicode.com/comments?postId=1"
      timeout: 15

  - id: transform_data
    depends_on: [extract_users, extract_posts]
    with:
      users: $extract_users
      posts: $extract_posts
    exec:
      command: "echo '{\"total_users\": 10, \"total_posts\": 100, \"avg_posts_per_user\": 10}'"
      shell: true
    artifact:
      path: output/etl/transform-summary.json
      format: json

  - id: enrich_data
    depends_on: [transform_data, extract_comments]
    with:
      summary: $transform_data
      comments: $extract_comments
    infer:
      prompt: |
        Enrich this data: Summary: {{with.summary}} Comments: {{with.comments | first(1500)}}
        Return JSON with user_activity, content_quality, data_quality_flags.
      response_format: json
      temperature: 0.3
      max_tokens: 1200
    structured:
      schema:
        type: object
        properties:
          enrichment_timestamp:
            type: string
          user_activity:
            type: object
            properties:
              pattern:
                type: string
            required: [pattern]
          data_quality_flags:
            type: array
            items:
              type: string
        required: [enrichment_timestamp, user_activity, data_quality_flags]
    artifact:
      path: output/etl/enriched-data.json
      format: json

  - id: validate_and_load
    depends_on: [enrich_data]
    with:
      enriched: $enrich_data
    infer:
      prompt: |
        Validate ETL output: {{with.enriched}}
        Return pipeline_status, quality_score, validation_passed, ready_for_production.
      response_format: json
      temperature: 0.1
      max_tokens: 1000
    structured:
      schema:
        type: object
        properties:
          pipeline_status:
            type: string
          quality_score:
            type: integer
          validation_passed:
            type: boolean
          ready_for_production:
            type: boolean
        required: [pipeline_status, quality_score, validation_passed, ready_for_production]
    artifact:
      path: output/etl/load-report.json
      format: json

  - id: etl_complete
    depends_on: [validate_and_load]
    with:
      report: $validate_and_load
    exec: "echo 'ETL pipeline complete. Report: {{with.report}}'"