smoidoandClaude Opus 5
51e42823d1
A test suite with no dependencies beyond bash and the Python standard library, run by one command: scripts/test.sh (or: make test) scripts/test.sh --windows [host] adds the PowerShell suite over SSH - tests/static.sh: script syntax, JSON validity, VERSION against the widget manifest and CHANGELOG, providers.json against the kinds, probes and checks the code implements (and ids that would shadow a command), qmllint and shellcheck when installed. - tests/python: unit tests for cm-json.py - providers and the column contract bash depends on, the original three scaffolds byte for byte, every catalogue parser and the cache, session scan/dismiss/repair, rename, defaults, health, the cost guard. - tests/cli: the CLI in a sandbox with its own HOME, CM_ROOT, CLAUDE_CONFIG_DIR and a file-only vault, against fake Ollama, LM Studio, keyed-gateway and proxy servers - preflight, presets, models, doctor, a real switch, sessions, and the key helper under a rename race. - tests/windows: the same idea on a Windows host, with USERPROFILE pointed at a temp folder so the real install is never touched. Also: MIT licence, CHANGELOG.md reconstructed from history, .editorconfig and .gitattributes pinning LF everywhere (what the tree already is), and scripts/bump-version.sh, since the version lives in two files and drifted once before. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
47 lines
1.6 KiB
Bash
Executable File
47 lines
1.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Model catalogues: fetched by each provider's kind, cached per server.
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. "$(dirname "$0")/../lib.sh"
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start_fake
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C="$CM_ROOT/models-cache.json"
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ready_preset ollama "$OLLAMA_URL"
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run_cm models --preset ollama
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expect_out 'qwen3-coder:latest' 'ollama models are listed'
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run_cm models --preset ollama --refresh
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expect_out 'cached 2 ollama model(s)' 'and cached'
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expect_eq "$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1]))["providers"]["ollama"]["baseUrl"])' "$C")" \
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"$OLLAMA_URL" 'against the server they came from'
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ready_preset lmstudio "$LMSTUDIO_URL"
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run_cm models --preset lmstudio
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expect_out 'qwen3-coder-30b' 'lm studio models are listed'
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python3 - "$P/custom.json" "$KEYED_URL" <<'PY'
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import json, sys
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p = json.load(open(sys.argv[1]))
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p.update(baseUrl=sys.argv[2], auth={"mode": "literal", "token": "sk-real"}, configured=True)
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json.dump(p, open(sys.argv[1], "w"), indent=2)
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PY
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run_cm models --preset custom
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expect_out 'gw/model-b' 'a keyed endpoint lists its models with the key'
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cp "$P/custom.json" "$P/proxy.json"
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python3 "$J" set-url "$P/proxy.json" "$PROXY_URL" >/dev/null
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run_cm models --preset proxy --refresh
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expect_rc 1 'a proxy has no list to fetch'
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expect_out 'model ids can still be typed by hand' 'and that is explained'
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run_cm models --preset zai
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expect_out 'glm-5.3' 'the static zai list'
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run_cm models --preset zai --json
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expect_out '"glm-4.7"' '--json prints the cached node'
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run_cm models --preset nope --refresh
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expect_rc 1 'an unknown preset is refused'
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for word in keyRef token auth; do
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case "$(cat "$C")" in *"\"$word\""*) fail "the cache holds a $word" ;; *) pass ;; esac
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done
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finish
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