app.yaml.template

# =============================================================================
# Databricks App Configuration (TEMPLATE)
# =============================================================================
# Generated by: vibe2value configure
# Source: app.yaml.template
#
# This file is auto-generated. Edit user-config.yaml instead, then run:
#   ./vibe2value configure
# =============================================================================
name: __APP_NAME__
description: "AI-Powered Development Workflow - Vibe Coding Workshop"

# Entry point
command:
  - "python"
  - "app.py"

# =============================================================================
# Environment Variables
# =============================================================================
env:
  # Runtime
  - name: PYTHONUNBUFFERED
    value: "1"
  - name: PORT
    value: "8000"
  
  # LLM Model endpoint
  - name: DATABRICKS_SERVING_ENDPOINT
    value: "__SERVING_ENDPOINT__"

  # Coaching model time budget in seconds, read per call by
  # services/coaching.py; matches the code default; set to override.
  - name: VIBE_COACH_BUDGET_S
    value: "20"

  # Coaching-only serving endpoint, read per call by services/coaching.py;
  # unset = DATABRICKS_SERVING_ENDPOINT. The app service principal needs
  # CAN_QUERY on it.
  - name: VIBE_COACH_ENDPOINT
    value: "databricks-claude-sonnet-5-5"

  # Optional stronger model for Ideate's impact sizing and business case.
  # Blank uses DATABRICKS_SERVING_ENDPOINT.
  - name: IDEATE_ANALYSIS_ENDPOINT
    value: "__IDEATE_ANALYSIS_ENDPOINT__"

  # Insights add-ons turned on for everyone: comma list of ontology, alerts, app_view, copilot (or "all").
  # Blank keeps Insights to the Genie space and dashboard; testers can use ?recipes=all.
  - name: INSIGHTS_BUILD_RECIPES
    value: ""

  # Genie Ontology (Beta) for NEW Genie Accelerator sessions, web and MCP; read
  # per call. Set "false" when the workspace has no Genie One Pages. Stored
  # sessions keep their own setting.
  - name: VIBE_DEFAULT_GENIE_ONTOLOGY
    value: "true"

  # MCP step-prompt prefetch (D-160): start the next step's prompt generation
  # when a step becomes current, so vibe_complete_step returns it without the
  # wait. Read per call; unset = on. "false" (or 0/off/no) = render on complete.
  - name: VIBE_STEP_PROMPT_PREFETCH
    value: "true"

  # MCP strict owner: a Genie Code request that carries no user identity (no
  # x-forwarded-email from the Apps proxy) cannot open a session someone owns.
  # Read per call; unset = on. "false" (or 0/off/no) = the old behaviour, only
  # for a workspace whose proxy sends no identity header.
  - name: VIBE_MCP_STRICT_OWNER
    value: "true"
  
  # ---------------------------------------------------------------------------
  # Lakebase PostgreSQL Configuration
  # ---------------------------------------------------------------------------
  # LAKEBASE_HOST: The PostgreSQL endpoint hostname.
  #   - Provisioned mode: hostname of the provisioned database instance
  #     (e.g., "my-instance.cloud.databricks.com")
  #   - Autoscaling mode: auto-discovered endpoint hostname
  #     (e.g., "ep-xxxx-yyyy.database.us-east-1.cloud.databricks.com")
  #   Set automatically by deploy.sh after Lakebase infrastructure is created.
  - name: LAKEBASE_HOST
    value: "__LAKEBASE_HOST__"
  
  - name: LAKEBASE_DATABASE
    value: "databricks_postgres"
  
  - name: LAKEBASE_SCHEMA
    value: "__LAKEBASE_SCHEMA__"
  
  - name: LAKEBASE_PORT
    value: "5432"
  
  # NOTE: LAKEBASE_USER is NOT set here. When running on Databricks Apps,
  # the app's service principal identity is used automatically.
  # - Autoscaling mode: uses DATABRICKS_CLIENT_ID (injected by platform)
  # - Provisioned mode: uses PGUSER (injected via resource link in Step 4c)
  # Hardcoding a user email here causes auth failures.
  
  # ENDPOINT_NAME: Lakebase Autoscaling endpoint resource path.
  # Format: projects/{project_id}/branches/{branch_id}/endpoints/{endpoint_id}
  # When set, the app uses Autoscaling mode with OAuth token rotation
  # via the Databricks SDK (databricks-sdk generate_database_credential).
  # When empty, the app falls back to Provisioned mode using PGPASSWORD
  # injected by the Lakebase resource link.
  - name: ENDPOINT_NAME
    value: "__ENDPOINT_NAME__"

  # Lakebase mode: "autoscaling" (default) or "provisioned"
  - name: LAKEBASE_MODE
    value: "__LAKEBASE_MODE__"

  # Toggle Lakebase (set to "false" for YAML fallback)
  - name: USE_LAKEBASE
    value: "true"

  # ---------------------------------------------------------------------------
  # MCP (Model Context Protocol) mount
  # ---------------------------------------------------------------------------
  # When "true", the FastMCP server is mounted at /mcp so Genie Code (and other
  # MCP clients) can drive the interactive workshop track. app.py treats an
  # unset value as off; this template turns it on. See docs/specs/mcp_design/.
  # Read by app.py (MCP_MOUNT_ENABLED).
  - name: MCP_MOUNT_ENABLED
    value: "true"

  # Cross-origin allowlist for CORS. Genie Code's browser connects from the
  # workspace origin (…cloud.databricks.com / …azuredatabricks.net) to this
  # app's /mcp (…databricksapps.com) — a cross-origin, credentialed request.
  # That origin must be allowlisted or the "Add MCP server" save fails with a
  # CORS preflight error. Set from the deploy workspace host.
  - name: ALLOWED_ORIGINS
    value: "__WORKSPACE_HOST__"

# Health check endpoint
health_check:
  path: /health
  interval_seconds: 30
  timeout_seconds: 10
  failure_threshold: 3