# Journey Fixture: journey-invoice-setup
# Tests that the journey chatbot correctly builds a prompt_template
# for extracting tasks and notes from Italian invoices and meeting notes.

type: journey
name: journey-invoice-setup
description: >
  Test the journey chatbot's ability to explore a directory of Italian
  invoices and meeting notes, ask relevant questions, and produce a
  well-structured prompt_template for data extraction.

directory: sample_files/invoices
data_types: [tasks, notes, timelines]

# Simulated user responses (the journey starts with the LLM exploring
# the directory and asking its first question)
user_messages:
  - >
    I want to extract action items from invoices and meeting notes.
    The invoices are in Italian and contain work descriptions with
    deadlines. Meeting notes have action items with checkboxes.
  - >
    Yes, map Italian priority keywords: "URGENTE" and "ALTA PRIORITÀ"
    should be high priority, "media priorità" is medium, "bassa priorità"
    is low. Items marked with [x] are already completed.
  - >
    For notes, I want meeting summaries with the full content including
    decisions and attendees. For timelines, extract deadlines and
    scheduled meeting dates.
  - >
    That's everything I need. Please generate the template.

# Criteria the generated prompt_template must satisfy
# Each is scored 0-1 by an LLM judge
expected_template_criteria:
  - "Mentions creating tasks from action items and work descriptions"
  - "Includes Italian priority keyword mapping (URGENTE→high, media priorità→medium, bassa priorità→low)"
  - "Handles completed items marked with [x] as status done"
  - "Mentions creating notes from meeting summaries"
  - "Mentions extracting timeline events from deadlines and meeting dates"
  - "Sets isAiSuggested=1 on all created records"
  - "Does NOT include projectId assignment logic"
  - "Uses camelCase field names (title, status, priority, dueDate, content)"

# Models to test (empty = use CLI --models default)
models: []