app_name="kiwi"
app_desc="Pantry tracker + leftover recipe suggestions (beta)"
app_repo_url_github="https://github.com/CircuitForgeLLC/kiwi.git"
app_repo_url_forgejo="https://git.opensourcesolarpunk.com/Circuit-Forge/kiwi.git"
app_available_profiles=(oem collaborator)
app_install_types=(docker bare-metal)
app_conda_env="kiwi"
app_env_template=".env.example"
app_needs_core=true

# kiwi has a single Dockerfile (no compose), listening on 8512. No
# persistent-storage volume is assumed here since that isn't documented;
# follow up manually if kiwi needs one for your data to survive a restart.
app_setup_docker() {
  local dir="$1"
  boxline "Building and running ${app_name} (port 8512)..."
  (cd "$dir" && docker build -t "${app_name}" .)
  (cd "$dir" && docker run -d --name "${app_name}" --env-file .env -p 8512:8512 "${app_name}")
}

# kiwi's bare-metal path is documented (docs/getting-started/installation.md,
# llm-setup.md - BYOK: Ollama/vLLM/OpenAI/Anthropic) but not scripted end to
# end. This creates the conda env from environment.yml; point the user at
# the docs for the LLM backend choice rather than guessing one.
app_setup_bare_metal() {
  local dir="$1"
  if [[ $dry_run == true ]]; then
    boxline "DryRun: conda env create -f ${dir}/environment.yml -n ${app_conda_env}"
  else
    # run() re-splits its argument as a bare string with no eval, which
    # mangles the quoted paths - execute directly instead.
    conda env create -f "${dir}/environment.yml" -n "${app_conda_env}"
  fi
  boxline "${app_name}: conda env '${app_conda_env}' created. See docs/getting-started/installation.md and llm-setup.md for the remaining BYOK LLM backend setup (Ollama/vLLM/OpenAI/Anthropic)."
}