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hermes-webui/tests/test_issue6131_provider_aware_model_selection.py
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2026-07-16 23:24:42 +08:00

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7.1 KiB
Python

"""Regression coverage for provider-aware duplicate model selection (#6131)."""
import json
import shutil
import subprocess
from pathlib import Path
import pytest
ROOT = Path(__file__).resolve().parents[1]
UI_JS = ROOT / "static" / "ui.js"
NODE = shutil.which("node")
_DRIVER = r"""
const fs = require('fs');
const uiSrc = fs.readFileSync(process.argv[1], 'utf8');
const preferredProvider = process.argv[2] || '';
function isIdentifierChar(ch) {
return /[A-Za-z0-9_$]/.test(ch || '');
}
function previousSignificantToken(source, index) {
let i = index - 1;
while (i >= 0 && /\s/.test(source[i])) i -= 1;
if (i < 0) return '';
if (!isIdentifierChar(source[i])) return source[i];
const end = i + 1;
while (i >= 0 && isIdentifierChar(source[i])) i -= 1;
return source.slice(i + 1, end);
}
function canStartRegexLiteral(source, index) {
const token = previousSignificantToken(source, index);
if (!token) return true;
if ('({[=,:;!&|?+-*~^<>'.includes(token)) return true;
return [
'return',
'throw',
'case',
'delete',
'typeof',
'void',
'new',
'in',
'of',
'yield',
'await',
].includes(token);
}
function skipQuotedLiteral(source, index, quote) {
for (let i = index + 1; i < source.length; i += 1) {
if (source[i] === '\\') {
i += 1;
continue;
}
if (source[i] === quote) return i;
}
throw new Error('unterminated string literal');
}
function skipTemplateLiteral(source, index) {
for (let i = index + 1; i < source.length; i += 1) {
if (source[i] === '\\') {
i += 1;
continue;
}
if (source[i] === '`') return i;
}
throw new Error('unterminated template literal');
}
function skipLineComment(source, index) {
const end = source.indexOf('\n', index + 2);
return end < 0 ? source.length - 1 : end;
}
function skipBlockComment(source, index) {
const end = source.indexOf('*/', index + 2);
if (end < 0) throw new Error('unterminated block comment');
return end + 1;
}
function skipRegexLiteral(source, index) {
let inClass = false;
for (let i = index + 1; i < source.length; i += 1) {
if (source[i] === '\\') {
i += 1;
continue;
}
if (source[i] === '[') inClass = true;
else if (source[i] === ']') inClass = false;
else if (source[i] === '/' && !inClass) {
while (/[A-Za-z]/.test(source[i + 1] || '')) i += 1;
return i;
}
}
throw new Error('unterminated regex literal');
}
function extractFunction(source, name) {
const marker = 'function ' + name + '(';
const start = source.indexOf(marker);
if (start < 0) throw new Error('not found: ' + name);
const brace = source.indexOf('{', source.indexOf(')', start));
let depth = 0;
for (let i = brace; i < source.length; i++) {
const ch = source[i];
const next = source[i + 1];
if (ch === '"' || ch === "'") i = skipQuotedLiteral(source, i, ch);
else if (ch === '`') i = skipTemplateLiteral(source, i);
else if (ch === '/' && next === '/') i = skipLineComment(source, i);
else if (ch === '/' && next === '*') i = skipBlockComment(source, i);
else if (ch === '/' && canStartRegexLiteral(source, i)) i = skipRegexLiteral(source, i);
else if (ch === '{') depth += 1;
else if (ch === '}') {
depth -= 1;
if (depth === 0) return source.slice(start, i + 1);
}
}
throw new Error('unterminated: ' + name);
}
function assertExtractorSkipsLexicalBraces() {
const trickySource = [
'function trickyExtractorTarget() {',
" const stringValue = '}';",
' const templateValue = `raw } ${1 + 1}`;',
' const regexValue = /}/;',
' // }',
' /* { */',
' return /}/.test(stringValue) ? templateValue : regexValue;',
'}',
'function afterTarget() { return 2; }',
].join('\n');
const extracted = extractFunction(trickySource, 'trickyExtractorTarget');
if (!extracted.includes('return /}/.test') || extracted.includes('afterTarget')) {
throw new Error('extractFunction did not ignore lexical braces');
}
}
assertExtractorSkipsLexicalBraces();
eval([
'_getOptionProviderId',
'_providerFromModelValue',
'_modelStateForSelect',
'_captureModelDropdownSelection',
'_findModelInDropdown',
'_applyModelToDropdown',
].map(name => extractFunction(uiSrc, name)).join('\n'));
globalThis._refreshOpenModelDropdown = () => {};
globalThis.syncSettingsModelChip = () => {};
const options = [
{
value: 'z-ai/glm-5.2',
textContent: 'GLM-5.2 via Z.AI',
dataset: {},
parentElement: {tagName: 'OPTGROUP', dataset: {provider: 'zai'}},
},
{
value: 'z-ai/glm-5.2',
textContent: 'GLM-5.2 via NVIDIA',
dataset: {},
parentElement: {tagName: 'OPTGROUP', dataset: {provider: 'nvidia'}},
},
];
let selectedIndex = 0;
for (const option of options) {
Object.defineProperty(option, 'selected', {
get() { return options[selectedIndex] === option; },
set(value) { if (value) selectedIndex = options.indexOf(option); },
});
}
const select = {
id: 'settingsModel',
options,
get selectedIndex() { return selectedIndex; },
set selectedIndex(value) { selectedIndex = Number(value); },
get selectedOptions() {
return selectedIndex >= 0 ? [options[selectedIndex]] : [];
},
get value() {
return selectedIndex >= 0 ? options[selectedIndex].value : '';
},
set value(value) {
selectedIndex = options.findIndex(option => option.value === value);
},
};
const before = _modelStateForSelect(select, select.value);
const applied = _applyModelToDropdown('z-ai/glm-5.2', select, preferredProvider);
const after = _modelStateForSelect(select, select.value);
const captured = _captureModelDropdownSelection(select);
process.stdout.write(JSON.stringify({
before,
applied,
after,
captured,
selectedIndex,
selectedProvider: _getOptionProviderId(select.selectedOptions[0]),
optionProviders: options.map(option => _getOptionProviderId(option)),
}));
"""
def _run_driver(preferred_provider: str) -> dict:
proc = subprocess.run(
[NODE, "-e", _DRIVER, str(UI_JS), preferred_provider],
capture_output=True,
text=True,
timeout=30,
)
assert proc.returncode == 0, proc.stderr
return json.loads(proc.stdout)
@pytest.mark.skipif(NODE is None, reason="node not on PATH")
def test_apply_model_dropdown_preserves_preferred_provider_for_duplicate_value():
result = _run_driver("nvidia")
assert result["before"]["model_provider"] == "zai"
assert result["applied"] == "z-ai/glm-5.2"
assert result["selectedIndex"] == 1
assert result["selectedProvider"] == "nvidia"
assert result["after"] == {
"model": "z-ai/glm-5.2",
"model_provider": "nvidia",
}
assert result["captured"] == result["after"]
@pytest.mark.skipif(NODE is None, reason="node not on PATH")
def test_apply_model_dropdown_does_not_fabricate_missing_provider_option():
result = _run_driver("anthropic")
assert result["applied"] == "z-ai/glm-5.2"
assert result["selectedIndex"] == 0
assert result["selectedProvider"] == "zai"
assert result["after"]["model_provider"] == "zai"
assert result["captured"] == result["after"]
assert result["optionProviders"] == ["zai", "nvidia"]