#!/usr/bin/env bash
# Model catalogues: fetched by each provider's kind, cached per server.
. "$(dirname "$0")/../lib.sh"
start_fake
C="$CM_ROOT/models-cache.json"

ready_preset ollama "$OLLAMA_URL"
run_cm models --preset ollama
expect_out 'qwen3-coder:latest' 'ollama models are listed'
run_cm models --preset ollama --refresh
expect_out 'cached 2 ollama model(s)' 'and cached'
expect_eq "$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1]))["providers"]["ollama"]["baseUrl"])' "$C")" \
    "$OLLAMA_URL" 'against the server they came from'

ready_preset lmstudio "$LMSTUDIO_URL"
run_cm models --preset lmstudio
expect_out 'qwen3-coder-30b' 'lm studio models are listed'

python3 - "$P/custom.json" "$KEYED_URL" <<'PY'
import json, sys
p = json.load(open(sys.argv[1]))
p.update(baseUrl=sys.argv[2], auth={"mode": "literal", "token": "sk-real"}, configured=True)
json.dump(p, open(sys.argv[1], "w"), indent=2)
PY
run_cm models --preset custom
expect_out 'gw/model-b' 'a keyed endpoint lists its models with the key'

cp "$P/custom.json" "$P/proxy.json"
python3 "$J" set-url "$P/proxy.json" "$PROXY_URL" >/dev/null
run_cm models --preset proxy --refresh
expect_rc 1 'a proxy has no list to fetch'
expect_out 'model ids can still be typed by hand' 'and that is explained'

run_cm models --preset zai
expect_out 'glm-5.3' 'the static zai list'
run_cm models --preset zai --json
expect_out '"glm-4.7"' '--json prints the cached node'

run_cm models --preset nope --refresh
expect_rc 1 'an unknown preset is refused'

for word in keyRef token auth; do
    case "$(cat "$C")" in *"\"$word\""*) fail "the cache holds a $word" ;; *) pass ;; esac
done

finish