name: KaggleSimEnv
version: "3.0.0"
description: >
  Production-grade OpenEnv RL environment simulating Kaggle competitions.
  Features hierarchical action categories, causal dataset properties,
  failure-mode traps, contextual strategy scoring, and 50+ advanced strategies.

author: OpenEnv Hackathon Team
license: MIT

environment:
  module: kaggle_sim_env.environment
  class: KaggleSimEnv

api:
  framework: fastapi
  module: server.app
  app: app
  port: 7860

action_space:
  types: 14
  techniques: 60+
  hierarchical: true
  format: '{"action_type": "...", "parameters": {"category": "...", "<key>": "..."}}'

tasks:
  - id: easy_churn
    difficulty: easy
    failure_modes: 3
    combos: 2
  - id: medium_fraud
    difficulty: medium
    failure_modes: 3
    combos: 3
  - id: hard_leaky_noisy
    difficulty: hard
    failure_modes: 4
    combos: 4
  - id: image_quality
    difficulty: hard
    failure_modes: 2
    combos: 4
  - id: trajectory_pred
    difficulty: hard
    failure_modes: 2
    combos: 4

grader:
  module: kaggle_sim_env.grader
  class: Grader
  score_range: [0.0, 1.0]
  weights:
    performance: 0.40
    strategy: 0.25
    combo: 0.20
    trap_avoidance: 0.15

reward:
  components:
    - cv_improvement
    - strategy_bonus
    - context_bonus
    - combo_bonus
    - redundancy_penalty
    - irrelevant_penalty
    - trap_penalty
    - overfitting_penalty
    - submission_bonus

baseline:
  script: baseline/run_baseline.py
  approach: structured_phases_with_hints
  requires:
    - OPENAI_API_KEY

docker:
  port: 7860
  dockerfile: Dockerfile