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修复导入顺序错误

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moranzhi
2026-05-05 19:08:25 +08:00
parent adb59da06d
commit 44df56c8d2
13 changed files with 4249 additions and 131 deletions
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16
backend/services/chat_workflow_service.py
View File

@@ -222,8 +222,12 @@ class ChatWorkflowService:
floor = request_data.get("floor", 0)
try:
from backend.services.token_usage_service import token_usage_service
from backend.models.internal import TokenUsageStatus
try:
from backend.services.token_usage_service import token_usage_service
from backend.models.internal import TokenUsageStatus
except ImportError:
from services.token_usage_service import token_usage_service
from models.internal import TokenUsageStatus
await token_usage_service.record_usage(
chat_id=chat_id,
@@ -1110,8 +1114,12 @@ class ChatWorkflowService:
floor = request_data.get("floor", 0)
try:
from backend.services.token_usage_service import token_usage_service
from backend.models.internal import TokenUsageStatus
try:
from backend.services.token_usage_service import token_usage_service
from backend.models.internal import TokenUsageStatus
except ImportError:
from services.token_usage_service import token_usage_service
from models.internal import TokenUsageStatus
# 估算 token 数量
prompt_tokens = len(str(prompt_messages)) // 4

59
backend/services/preset_service.py
View File

@@ -63,6 +63,30 @@ class PresetService:
"""保存预设到 JSON 文件"""
path = PresetService._get_preset_path(name)
try:
# 确保 prompts 数组和 prompt_order 的顺序一致
if "prompts" in data and "prompt_order" in data:
prompts = data["prompts"]
prompt_order = data.get("prompt_order", [{}])[0].get("order", [])
if prompts and prompt_order:
# 创建 identifier 到 prompt 的映射
prompt_map = {prompt["identifier"]: prompt for prompt in prompts}
# 按照 prompt_order 的顺序重新排列 prompts
reordered_prompts = []
for order_item in prompt_order:
identifier = order_item.get("identifier")
if identifier and identifier in prompt_map:
reordered_prompts.append(prompt_map[identifier])
# 添加 prompt_order 中不存在的 prompts（如果有）
existing_identifiers = {item.get("identifier") for item in prompt_order}
for prompt in prompts:
if prompt["identifier"] not in existing_identifiers:
reordered_prompts.append(prompt)
data["prompts"] = reordered_prompts
with open(path, 'w', encoding='utf-8') as f:
json.dump(data, f, ensure_ascii=False, indent=2)
except Exception as e:
@@ -83,12 +107,12 @@ class PresetService:
with open(json_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# 计算组件数量
entries = data.get("entries", [])
# 计算组件数量 - 支持 SillyTavern 格式 (prompts) 和内部格式 (entries)
prompts = data.get("prompts", [])
component_count = len(entries) if entries else len(prompts)
entries = data.get("entries", [])
component_count = len(prompts) if prompts else len(entries)
# 提取温度参数（支持内部结构和 SillyTavern 结构）
# 提取温度参数 - 使用 SillyTavern 标准字段名
temperature = data.get("temperature", 1.0)
# 从文件名提取预设名称（去掉时间戳和后缀）
@@ -205,7 +229,7 @@ class PresetService:
@staticmethod
def reorder_components(name: str, component_order: List[str]) -> Dict[str, Any]:
"""
重新排序预设组件
重新排序预设组件 - 支持 SillyTavern 标准格式
Args:
name: 预设名称
@@ -218,8 +242,29 @@ class PresetService:
if not data:
raise FileNotFoundError(f"Preset '{name}' not found")
# 支持内部结构的 entries
if "entries" in data and isinstance(data["entries"], list):
# 支持 SillyTavern 格式的 prompts
if "prompts" in data and isinstance(data["prompts"], list):
# 创建 identifier 到 prompt 的映射
prompt_map = {prompt["identifier"]: prompt for prompt in data["prompts"]}
# 按新顺序重新排列
reordered_prompts = []
for identifier in component_order:
if identifier in prompt_map:
reordered_prompts.append(prompt_map[identifier])
data["prompts"] = reordered_prompts
# 更新 prompt_order
if "prompt_order" in data and isinstance(data["prompt_order"], list) and len(data["prompt_order"]) > 0:
data["prompt_order"][0]["order"] = [
{"identifier": identifier, "enabled": True}
for identifier in component_order
if identifier in prompt_map
]
# 也支持内部格式的 entries（向后兼容）
elif "entries" in data and isinstance(data["entries"], list):
# 创建 identifier 到 entry 的映射
entry_map = {entry["identifier"]: entry for entry in data["entries"]}

69
check_preset_order.py Normal file
View File

@@ -0,0 +1,69 @@
"""
检查预设文件中 prompts 和 prompt_order 的顺序是否一致
"""
import json
from pathlib import Path
print("=" * 80)
print("检查预设文件中的顺序一致性")
print("=" * 80)
preset_files = list(Path("data/preset").glob("*.json"))
for preset_file in preset_files:
print(f"\n{'='*80}")
print(f"文件: {preset_file.name}")
print("-" * 80)
try:
with open(preset_file, 'r', encoding='utf-8') as f:
data = json.load(f)
# 检查是否有 prompts 和 prompt_order
if 'prompts' not in data or 'prompt_order' not in data:
print("⚠️ 缺少 prompts 或 prompt_order 字段")
continue
prompts = data.get('prompts', [])
prompt_order = data.get('prompt_order', [{}])[0].get('order', [])
print(f"prompts 数量: {len(prompts)}")
print(f"prompt_order 数量: {len(prompt_order)}")
if len(prompts) == 0 or len(prompt_order) == 0:
print("⚠️ prompts 或 prompt_order 为空")
continue
# 提取 identifiers
prompts_identifiers = [p['identifier'] for p in prompts]
order_identifiers = [item['identifier'] for item in prompt_order]
print(f"\nprompts 顺序:")
for i, identifier in enumerate(prompts_identifiers):
print(f" {i+1}. {identifier}")
print(f"\nprompt_order 顺序:")
for i, identifier in enumerate(order_identifiers):
print(f" {i+1}. {identifier}")
# 比较顺序
if prompts_identifiers == order_identifiers:
print("\n✅ 顺序一致")
else:
print("\n❌ 顺序不一致！")
print(f" prompts: {prompts_identifiers}")
print(f" prompt_order: {order_identifiers}")
# 找出差异
missing_in_order = set(prompts_identifiers) - set(order_identifiers)
missing_in_prompts = set(order_identifiers) - set(prompts_identifiers)
if missing_in_order:
print(f" ⚠️ prompt_order 中缺少: {missing_in_order}")
if missing_in_prompts:
print(f" ⚠️ prompts 中缺少: {missing_in_prompts}")
except Exception as e:
print(f"❌ 读取失败: {e}")
print("\n" + "=" * 80)

2932
data/A.U.T.O.预设 v2.0 (1) (1).json Normal file
View File

File diff suppressed because one or more lines are too long

84
data/preset/Default.json
View File

@@ -32,52 +32,12 @@
"content": "Write {{char}}'s next reply in a fictional chat between {{char}} and {{user}}.",
"identifier": "main"
},
{
"name": "Auxiliary Prompt",
"system_prompt": true,
"role": "system",
"content": "",
"identifier": "nsfw"
},
{
"identifier": "dialogueExamples",
"name": "Chat Examples",
"system_prompt": true,
"marker": true
},
{
"name": "Post-History Instructions",
"system_prompt": true,
"role": "system",
"content": "",
"identifier": "jailbreak"
},
{
"identifier": "chatHistory",
"name": "Chat History",
"system_prompt": true,
"marker": true
},
{
"identifier": "worldInfoAfter",
"name": "World Info (after)",
"system_prompt": true,
"marker": true
},
{
"identifier": "worldInfoBefore",
"name": "World Info (before)",
"system_prompt": true,
"marker": true
},
{
"identifier": "enhanceDefinitions",
"role": "system",
"name": "Enhance Definitions",
"content": "If you have more knowledge of {{char}}, add to the character's lore and personality to enhance them but keep the Character Sheet's definitions absolute.",
"system_prompt": true,
"marker": false
},
{
"identifier": "charDescription",
"name": "Char Description",
@@ -96,6 +56,46 @@
"system_prompt": true,
"marker": true
},
{
"identifier": "enhanceDefinitions",
"role": "system",
"name": "Enhance Definitions",
"content": "If you have more knowledge of {{char}}, add to the character's lore and personality to enhance them but keep the Character Sheet's definitions absolute.",
"system_prompt": true,
"marker": false
},
{
"name": "Auxiliary Prompt",
"system_prompt": true,
"role": "system",
"content": "",
"identifier": "nsfw"
},
{
"identifier": "worldInfoAfter",
"name": "World Info (after)",
"system_prompt": true,
"marker": true
},
{
"identifier": "dialogueExamples",
"name": "Chat Examples",
"system_prompt": true,
"marker": true
},
{
"identifier": "chatHistory",
"name": "Chat History",
"system_prompt": true,
"marker": true
},
{
"name": "Post-History Instructions",
"system_prompt": true,
"role": "system",
"content": "",
"identifier": "jailbreak"
},
{
"identifier": "personaDescription",
"name": "Persona Description",
@@ -216,5 +216,7 @@
"continue_postfix": " ",
"seed": -1,
"n": 1,
"updatedAt": 1777857993
"updatedAt": 1777857993,
"name": "Default",
"createdAt": 1777977985
}

47
frontend/src/Store/SideBarLeft/PresetSlice.jsx
View File

@@ -231,35 +231,40 @@ const usePresetStore = create(
presets: [...state.presets, preset]
})),
// 保存当前设置为预设
// 保存当前设置为预设 - 使用 SillyTavern 标准格式
saveCurrentAsPreset: async ({ name }) => {
const state = get();
try {
// 构建预设数据 - 使用内部专有结构
// 构建 SillyTavern 标准格式的预设数据
const presetData = {
// GenerationPreset 部分 - 采样参数
id: `preset_${Date.now()}`,
// 基本参数 - 使用 SillyTavern 标准字段名
name: name,
temperature: state.parameters.temperature,
topP: state.parameters.top_p,
topK: state.parameters.top_k,
frequencyPenalty: state.parameters.frequency_penalty,
presencePenalty: state.parameters.presence_penalty,
maxLength: state.parameters.max_tokens,
isDefault: false,
frequency_penalty: state.parameters.frequency_penalty,
presence_penalty: state.parameters.presence_penalty,
top_p: state.parameters.top_p,
top_k: state.parameters.top_k,
max_tokens: state.parameters.max_tokens,
request_timeout: state.parameters.request_timeout || 60,
// PromptPresetView 部分 - prompt组件列表
characterId: 'global', // 全局预设，不绑定特定角色
entries: state.promptComponents.map((component, index) => ({
// SillyTavern 标准的 prompts 数组
prompts: state.promptComponents.map((component) => ({
identifier: component.identifier,
name: component.name,
enabled: component.enabled !== false,
content: component.content || '',
order: index,
role: component.role === 0 ? 'system' : component.role === 1 ? 'user' : 'ai',
tokenCount: component.content ? component.content.length : 0,
isSystemNode: component.marker || false
}))
system_prompt: component.role === 0,
role: component.role === 0 ? 'system' : component.role === 1 ? 'user' : 'assistant',
enabled: component.enabled !== false
})),
// prompt_order - SillyTavern 用于管理顺序和启用状态
prompt_order: [{
character_id: 'global',
order: state.promptComponents.map(component => ({
identifier: component.identifier,
enabled: component.enabled !== false
}))
}]
};
// 发送到后端
@@ -279,7 +284,7 @@ const usePresetStore = create(
// 添加到本地预设列表
const newPreset = {
id: presetData.id,
id: name, // 使用名称作为 ID
name,
description: '',
component_count: state.promptComponents.length,
@@ -288,7 +293,7 @@ const usePresetStore = create(
set((state) => ({
presets: [...state.presets, newPreset],
selectedPreset: presetData.id
selectedPreset: name
}));
return result;

238
frontend/src/components/SideBarLeft/tabs/Presets/Presets.jsx
View File

@@ -33,13 +33,11 @@ const PresetPanel = () => {
const [showSaveDialog, setShowSaveDialog] = useState(false);
const [showEditDialog, setShowEditDialog] = useState(false);
const [showImportDialog, setShowImportDialog] = useState(false);
const [showComponentEditDialog, setShowComponentEditDialog] = useState(false);
const [showActionsMenu, setShowActionsMenu] = useState(false);
const [newPresetName, setNewPresetName] = useState('');
const [editPresetId, setEditPresetId] = useState('');
const [editPresetName, setEditPresetName] = useState('');
const [importPresetData, setImportPresetData] = useState('');
const [tooltip, setTooltip] = useState({ visible: false, content: '', x: 0, y: 0 });
// 组件编辑状态
@@ -258,8 +256,6 @@ const PresetPanel = () => {
// 重新加载预设列表
setCurrentPage(1);
fetchPresets();
alert('预设已删除！');
} catch (error) {
console.error('删除预设失败:', error);
alert('删除预设失败: ' + error.message);
@@ -301,9 +297,20 @@ const PresetPanel = () => {
};
// 导入预设
const handleImportPreset = async () => {
const handleImportPreset = async (file) => {
console.log('[Preset Import] 开始导入文件:', file.name);
try {
const importedPreset = JSON.parse(importPresetData);
// 读取文件内容
const importData = await new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = (e) => resolve(e.target.result);
reader.onerror = (e) => reject(new Error('读取文件失败'));
reader.readAsText(file);
});
console.log('[Preset Import] 文件内容读取成功');
const importedPreset = JSON.parse(importData);
console.log('[Preset Import] JSON 解析成功');
// 支持内部结构和SillyTavern结构
let presetName = '';
@@ -313,7 +320,8 @@ const PresetPanel = () => {
// 检测是否为内部结构（有 entries 字段）
if (importedPreset.entries && Array.isArray(importedPreset.entries)) {
// 内部结构
presetName = importedPreset.name;
presetName = importedPreset.name || file.name.replace('.json', '');
console.log('[Preset Import] 检测到内部格式, preset name:', presetName);
importedParameters = {
temperature: importedPreset.temperature,
top_p: importedPreset.topP,
@@ -339,9 +347,13 @@ const PresetPanel = () => {
return orderA - orderB;
});
}
// 兼容SillyTavern结构（有 parameters 和 promptComponents 字段）
else if (importedPreset.name && (importedPreset.parameters || importedPreset.temperature)) {
presetName = importedPreset.name;
// 兼容SillyTavern结构（有 prompts 或 parameters 字段）
else if (importedPreset.name || importedPreset.temperature || importedPreset.parameters || importedPreset.prompts) {
// SillyTavern 格式通常没有 name 字段，使用文件名
presetName = importedPreset.name || file.name.replace('.json', '');
console.log('[Preset Import] 检测到 SillyTavern 格式, preset name:', presetName);
// 提取参数
importedParameters = importedPreset.parameters || {
temperature: importedPreset.temperature,
frequency_penalty: importedPreset.frequency_penalty,
@@ -351,29 +363,128 @@ const PresetPanel = () => {
max_tokens: importedPreset.max_tokens || importedPreset.openai_max_tokens,
request_timeout: importedPreset.request_timeout || 60
};
importedComponents = importedPreset.promptComponents || [];
// 转换 SillyTavern 的 prompts 为内部格式
if (importedPreset.prompts && Array.isArray(importedPreset.prompts)) {
console.log('[Preset Import] 找到', importedPreset.prompts.length, '个 prompts');
// 获取 prompt_order（支持多个 prompt_order，优先使用最后一个或组件数最多的）
let promptOrder = [];
if (importedPreset.prompt_order && Array.isArray(importedPreset.prompt_order)) {
// 策略：优先使用最后一个 prompt_order（通常是角色特定的，包含更多组件）
// 如果只有一个，直接使用
if (importedPreset.prompt_order.length === 1) {
if (importedPreset.prompt_order[0].order) {
promptOrder = importedPreset.prompt_order[0].order;
console.log('[Preset Import] 使用唯一的 prompt_order');
}
} else if (importedPreset.prompt_order.length > 1) {
// 有多个时，使用最后一个（通常是最完整的）
const lastOrder = importedPreset.prompt_order[importedPreset.prompt_order.length - 1];
if (lastOrder && lastOrder.order) {
promptOrder = lastOrder.order;
console.log('[Preset Import] 使用最后一个 prompt_order (character_id:', lastOrder.character_id, ', 组件数:', promptOrder.length, ')');
}
console.log('[Preset Import] 检测到', importedPreset.prompt_order.length, '个 prompt_order');
importedPreset.prompt_order.forEach((po, idx) => {
console.log(` [${idx}] character_id: ${po.character_id}, order_count: ${po.order?.length || 0}`);
});
}
}
// 创建 identifier 到 enabled 状态的映射
const enabledMap = {};
promptOrder.forEach(item => {
if (item && item.identifier) {
enabledMap[item.identifier] = item.enabled !== false;
}
});
// 转换每个 prompt
importedComponents = importedPreset.prompts.map((prompt, index) => {
// 确定角色：system_prompt=true -> 0 (system), 否则根据 role 字段
let role = 0; // 默认 system
if (prompt.role !== undefined) {
role = typeof prompt.role === 'string'
? (prompt.role === 'system' ? 0 : prompt.role === 'user' ? 1 : 2)
: prompt.role;
} else if (prompt.system_prompt) {
role = 0; // system
} else {
role = 1; // user
}
return {
identifier: prompt.identifier || `prompt_${index}`,
name: prompt.name || '未命名组件',
content: prompt.content || '',
enabled: enabledMap[prompt.identifier] !== undefined
? enabledMap[prompt.identifier]
: (prompt.enabled !== false),
role: role,
system_prompt: role === 0,
marker: prompt.marker || false
};
});
// 如果有 prompt_order，按顺序排序
if (promptOrder.length > 0) {
const orderMap = {};
promptOrder.forEach((item, idx) => {
if (item && item.identifier) {
orderMap[item.identifier] = idx;
}
});
importedComponents.sort((a, b) => {
const orderA = orderMap[a.identifier] !== undefined ? orderMap[a.identifier] : 999;
const orderB = orderMap[b.identifier] !== undefined ? orderMap[b.identifier] : 999;
return orderA - orderB;
});
}
console.log('[Preset Import] 转换后组件数量:', importedComponents.length);
} else {
console.log('[Preset Import] 未找到 prompts 字段');
importedComponents = [];
}
}
if (presetName) {
await saveCurrentAsPreset({ name: presetName });
console.log('[Preset Import] 准备应用导入的配置');
// 更新参数
// 先更新参数
console.log('[Preset Import] 更新参数:', importedParameters);
Object.keys(importedParameters).forEach(key => {
if (importedParameters[key] !== undefined) {
updateParameter({ name: key, value: importedParameters[key] });
}
});
// 更新组件列表
// 再更新组件列表
if (importedComponents.length > 0) {
console.log('[Preset Import] 更新组件列表:', importedComponents.length, '个组件');
setPromptComponents(importedComponents);
}
setImportPresetData('');
setShowImportDialog(false);
// 重新加载预设列表并重置到第一页
setCurrentPage(1);
fetchPresets();
// 使用 requestAnimationFrame 确保状态更新完成后再保存
requestAnimationFrame(() => {
setTimeout(async () => {
console.log('[Preset Import] 准备保存预设:', presetName);
try {
await saveCurrentAsPreset({ name: presetName });
console.log('[Preset Import] 预设保存成功');
// 重新加载预设列表并重置到第一页
setCurrentPage(1);
fetchPresets();
} catch (error) {
console.error('[Preset Import] 保存预设失败:', error);
alert('保存预设失败: ' + error.message);
}
}, 50);
});
}
} catch (error) {
console.error('导入预设失败:', error);
@@ -381,38 +492,43 @@ const PresetPanel = () => {
}
};
// 导出预设
// 导出预设 - 使用 SillyTavern 标准格式
const handleExportPreset = () => {
if (selectedPreset) {
const preset = presets.find(p => p.id === selectedPreset);
if (preset) {
// 使用内部专有结构导出
// 构建 SillyTavern 标准格式
const exportData = {
// GenerationPreset 部分
id: selectedPreset,
// 基本参数
name: preset.name,
temperature: parameters.temperature,
topP: parameters.top_p,
topK: parameters.top_k,
frequencyPenalty: parameters.frequency_penalty,
presencePenalty: parameters.presence_penalty,
maxLength: parameters.max_tokens,
requestTimeout: parameters.request_timeout || 60,
isDefault: false,
frequency_penalty: parameters.frequency_penalty,
presence_penalty: parameters.presence_penalty,
top_p: parameters.top_p,
top_k: parameters.top_k,
max_tokens: parameters.max_tokens,
request_timeout: parameters.request_timeout || 60,
// PromptPresetView 部分
characterId: 'global',
entries: promptComponents.map((component, index) => ({
// SillyTavern 标准的 prompts 数组
prompts: promptComponents.map((component) => ({
identifier: component.identifier,
name: component.name,
enabled: component.enabled !== false,
content: component.content || '',
order: index,
role: component.role === 0 ? 'system' : component.role === 1 ? 'user' : 'ai',
tokenCount: component.content ? component.content.length : 0,
isSystemNode: component.marker || false
}))
system_prompt: component.role === 0,
role: component.role === 0 ? 'system' : component.role === 1 ? 'user' : 'assistant',
enabled: component.enabled !== false
})),
// prompt_order - SillyTavern 用于管理顺序和启用状态
prompt_order: [{
character_id: 'global',
order: promptComponents.map(component => ({
identifier: component.identifier,
enabled: component.enabled !== false
}))
}]
};
const dataStr = JSON.stringify(exportData, null, 2);
const dataBlob = new Blob([dataStr], { type: 'application/json' });
const url = URL.createObjectURL(dataBlob);
@@ -622,8 +738,30 @@ const PresetPanel = () => {
className="dropdown-item"
title="从 JSON 文件导入预设配置"
onClick={() => {
setShowImportDialog(true);
setShowActionsMenu(false);
console.log('[Preset Import] 点击导入按钮');
// 创建文件选择器
const input = document.createElement('input');
input.type = 'file';
input.accept = '.json';
input.onchange = async (e) => {
console.log('[Preset Import] 文件选择器触发');
const file = e.target.files[0];
if (!file) {
console.log('[Preset Import] 未选择文件');
return;
}
console.log('[Preset Import] 选择的文件:', file.name);
try {
await handleImportPreset(file);
console.log('[Preset Import] 导入完成');
setShowActionsMenu(false);
} catch (error) {
console.error('[Preset Import] 导入失败:', error);
alert('导入预设失败: ' + error.message);
}
};
input.click();
}}
>
📥 导入
@@ -690,22 +828,6 @@ const PresetPanel = () => {
</div>
)}
{/* 导入预设对话框 */}
{showImportDialog && (
<div className="preset-import-dialog">
<textarea
className="import-textarea"
value={importPresetData}
onChange={(e) => setImportPresetData(e.target.value)}
placeholder="粘贴预设JSON数据"
rows="5"
/>
<div className="dialog-buttons">
<button onClick={handleImportPreset}>导入</button>
<button onClick={() => setShowImportDialog(false)}>取消</button>
</div>
</div>
)}
{/* 编辑/查看组件内容对话框 */}
{showComponentEditDialog && (

129
test_import_export_order.py Normal file
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"""
完整测试预设导入导出的顺序保持
"""
import json
from pathlib import Path
import sys
sys.path.insert(0, 'backend')
from services.preset_service import PresetService
print("=" * 80)
print("预设导入导出顺序完整性测试")
print("=" * 80)
# ==================== 步骤 1: 创建测试预设（模拟 SillyTavern 导出）====================
print("\n[步骤 1] 创建测试预设（prompts 乱序）")
print("-" * 80)
test_data = {
"name": "Order_Integrity_Test",
"temperature": 0.8,
"frequency_penalty": 0.3,
"presence_penalty": 0.2,
"top_p": 0.95,
"top_k": 40,
"max_tokens": 2048,
# prompts 是乱序的
"prompts": [
{"identifier": "z_last", "name": "Z Last", "content": "Last", "role": "user", "system_prompt": False, "enabled": True},
{"identifier": "a_first", "name": "A First", "content": "First", "role": "system", "system_prompt": True, "enabled": True},
{"identifier": "m_middle", "name": "M Middle", "content": "Middle", "role": "assistant", "system_prompt": False, "enabled": True}
],
# prompt_order 指定正确顺序
"prompt_order": [{
"character_id": "global",
"order": [
{"identifier": "a_first", "enabled": True},
{"identifier": "m_middle", "enabled": True},
{"identifier": "z_last", "enabled": True}
]
}]
}
print(f"原始 prompts 顺序: {[p['identifier'] for p in test_data['prompts']]}")
print(f"prompt_order 顺序: {[o['identifier'] for o in test_data['prompt_order'][0]['order']]}")
# ==================== 步骤 2: 使用后端保存（模拟导入后保存）====================
print("\n[步骤 2] 使用 PresetService 保存预设")
print("-" * 80)
try:
# 如果已存在则删除
if PresetService._get_preset_path("Order_Integrity_Test").exists():
PresetService.delete_preset("Order_Integrity_Test")
PresetService.create_preset("Order_Integrity_Test", test_data)
print("✅ 保存成功")
except Exception as e:
print(f"❌ 保存失败: {e}")
sys.exit(1)
# ==================== 步骤 3: 读取保存的文件检查顺序====================
print("\n[步骤 3] 读取保存的文件")
print("-" * 80)
saved_file = Path("data/preset/Order_Integrity_Test.json")
with open(saved_file, 'r', encoding='utf-8') as f:
saved_data = json.load(f)
saved_prompts_order = [p['identifier'] for p in saved_data.get('prompts', [])]
saved_order_list = [o['identifier'] for o in saved_data.get('prompt_order', [{}])[0].get('order', [])]
print(f"保存后 prompts 顺序: {saved_prompts_order}")
print(f"保存后 prompt_order 顺序: {saved_order_list}")
if saved_prompts_order == saved_order_list:
print("\n✅ 保存后顺序一致！")
else:
print("\n❌ 保存后顺序不一致！")
# ==================== 步骤 4: 模拟前端加载（从后端读取）====================
print("\n[步骤 4] 模拟前端从后端加载预设")
print("-" * 80)
loaded_data = PresetService.get_preset("Order_Integrity_Test")
loaded_prompts_order = [p['identifier'] for p in loaded_data.get('prompts', [])]
loaded_order_list = [o['identifier'] for o in loaded_data.get('prompt_order', [{}])[0].get('order', [])]
print(f"加载后 prompts 顺序: {loaded_prompts_order}")
print(f"加载后 prompt_order 顺序: {loaded_order_list}")
if loaded_prompts_order == loaded_order_list:
print("\n✅ 加载后顺序一致！")
else:
print("\n❌ 加载后顺序不一致！")
# ==================== 步骤 5: 验证完整流程====================
print("\n[步骤 5] 验证完整流程")
print("-" * 80)
expected_order = ['a_first', 'm_middle', 'z_last']
print(f"期望顺序: {expected_order}")
print(f"原始 prompts: {[p['identifier'] for p in test_data['prompts']]}")
print(f"保存后 prompts: {saved_prompts_order}")
print(f"加载后 prompts: {loaded_prompts_order}")
all_match = (
saved_prompts_order == expected_order and
loaded_prompts_order == expected_order and
saved_prompts_order == loaded_prompts_order
)
if all_match:
print("\n🎉 完整流程顺序保持一致！")
print("✅ 即使原始 prompts 是乱序的，保存和加载后都能按 prompt_order 正确排序")
else:
print("\n❌ 顺序在某个环节出现了问题")
# 清理测试文件
try:
PresetService.delete_preset("Order_Integrity_Test")
print("\n✅ 已清理测试文件")
except:
pass
print("\n" + "=" * 80)

273
test_preset_complete_flow.py Normal file
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"""
完整的预设排序流程测试
验证：导入 → 保存 → 加载 → 展示的完整流程中顺序是否正确保持
"""
import json
from pathlib import Path
print("=" * 80)
print("预设排序完整流程测试")
print("=" * 80)
# ==================== 步骤 1: 创建原始 SillyTavern 文件 ====================
print("\n[步骤 1] 创建原始 SillyTavern 预设文件（乱序）")
print("-" * 80)
original_data = {
"name": "Complete_Flow_Test",
"temperature": 0.85,
"frequency_penalty": 0.4,
"presence_penalty": 0.25,
"top_p": 0.92,
"top_k": 45,
"max_tokens": 3072,
# prompts 数组是乱序的
"prompts": [
{
"identifier": "char_personality",
"name": "Character Personality",
"system_prompt": True,
"role": "system",
"content": "{{char}}'s personality",
"enabled": True,
"marker": False
},
{
"identifier": "main_prompt",
"name": "Main Prompt",
"system_prompt": True,
"role": "system",
"content": "You are an AI assistant.",
"enabled": True,
"marker": False
},
{
"identifier": "chat_history",
"name": "Chat History",
"system_prompt": True,
"role": "system",
"content": "{{history}}",
"enabled": True,
"marker": True
},
{
"identifier": "user_input",
"name": "User Input",
"system_prompt": False,
"role": "user",
"content": "{{input}}",
"enabled": True,
"marker": False
}
],
# prompt_order 指定了正确顺序
"prompt_order": [{
"character_id": "global",
"order": [
{"identifier": "main_prompt", "enabled": True},
{"identifier": "char_personality", "enabled": True},
{"identifier": "chat_history", "enabled": True},
{"identifier": "user_input", "enabled": True}
]
}]
}
# 写入原始文件
original_file = Path("data/preset/Complete_Flow_Test_Original.json")
with open(original_file, 'w', encoding='utf-8') as f:
json.dump(original_data, f, ensure_ascii=False, indent=2)
print(f"✅ 创建文件: {original_file}")
print(f"\n原始 prompts 顺序（乱序）:")
for i, prompt in enumerate(original_data['prompts']):
print(f" {i+1}. {prompt['identifier']}")
print(f"\n期望顺序 (prompt_order):")
for i, item in enumerate(original_data['prompt_order'][0]['order']):
print(f" {i+1}. {item['identifier']}")
# ==================== 步骤 2: 模拟导入时的排序 ====================
print("\n[步骤 2] 模拟前端导入时的排序逻辑")
print("-" * 80)
# 获取 prompt_order
prompt_order = original_data.get('prompt_order', [{}])[0].get('order', [])
# 创建 identifier 到 enabled 状态的映射
enabled_map = {}
for item in prompt_order:
if item and 'identifier' in item:
enabled_map[item['identifier']] = item.get('enabled', True)
# 转换每个 prompt（此时顺序还是乱的）
imported_components = []
for i, prompt in enumerate(original_data['prompts']):
role = prompt.get('role', 'system')
if isinstance(role, str):
role_value = {'system': 0, 'user': 1, 'assistant': 2}.get(role, 0)
else:
role_value = role
component = {
'identifier': prompt.get('identifier', f'prompt_{i}'),
'name': prompt.get('name', '未命名组件'),
'content': prompt.get('content', ''),
'enabled': enabled_map.get(prompt.get('identifier'), prompt.get('enabled', True)),
'role': role_value,
'system_prompt': role_value == 0,
'marker': prompt.get('marker', False)
}
imported_components.append(component)
print(f"转换后顺序（仍为乱序）:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']}")
# 按 prompt_order 排序
if len(prompt_order) > 0:
order_map = {}
for idx, item in enumerate(prompt_order):
if item and 'identifier' in item:
order_map[item['identifier']] = idx
imported_components.sort(key=lambda x: order_map.get(x['identifier'], 999))
print(f"\n排序后顺序（已按 prompt_order 重排）:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']}")
# ==================== 步骤 3: 模拟保存到后端 ====================
print("\n[步骤 3] 模拟保存到后端（使用排序后的顺序）")
print("-" * 80)
saved_prompts = []
saved_prompt_order = []
for component in imported_components:
saved_prompts.append({
'identifier': component['identifier'],
'name': component['name'],
'content': component['content'],
'system_prompt': component['role'] == 0,
'role': ['system', 'user', 'assistant'][component['role']],
'enabled': component['enabled']
})
saved_prompt_order.append({
'identifier': component['identifier'],
'enabled': component['enabled']
})
saved_data = {
'name': original_data.get('name'),
'temperature': original_data.get('temperature'),
'frequency_penalty': original_data.get('frequency_penalty'),
'presence_penalty': original_data.get('presence_penalty'),
'top_p': original_data.get('top_p'),
'top_k': original_data.get('top_k'),
'max_tokens': original_data.get('max_tokens'),
'prompts': saved_prompts,
'prompt_order': [{
'character_id': 'global',
'order': saved_prompt_order
}]
}
# 写入保存后的文件
saved_file = Path("data/preset/Complete_Flow_Test_Saved.json")
with open(saved_file, 'w', encoding='utf-8') as f:
json.dump(saved_data, f, ensure_ascii=False, indent=2)
print(f"✅ 保存文件: {saved_file}")
print(f"\n保存后的 prompts 顺序:")
for i, prompt in enumerate(saved_data['prompts']):
print(f" {i+1}. {prompt['identifier']}")
# ==================== 步骤 4: 模拟从后端加载 ====================
print("\n[步骤 4] 模拟从后端加载预设")
print("-" * 80)
# 读取保存的文件
with open(saved_file, 'r', encoding='utf-8') as f:
loaded_data = json.load(f)
# 获取 prompt_order
loaded_prompt_order = loaded_data.get('prompt_order', [{}])[0].get('order', [])
# 转换组件
loaded_components = []
for i, prompt in enumerate(loaded_data['prompts']):
role = prompt.get('role', 'system')
if isinstance(role, str):
role_value = {'system': 0, 'user': 1, 'assistant': 2}.get(role, 0)
else:
role_value = role
component = {
'identifier': prompt.get('identifier'),
'name': prompt.get('name'),
'content': prompt.get('content'),
'enabled': prompt.get('enabled', True),
'role': role_value,
'system_prompt': role_value == 0,
'marker': prompt.get('marker', False)
}
loaded_components.append(component)
# 按 prompt_order 排序
if len(loaded_prompt_order) > 0:
order_map = {}
for idx, item in enumerate(loaded_prompt_order):
if item and 'identifier' in item:
order_map[item['identifier']] = idx
loaded_components.sort(key=lambda x: order_map.get(x['identifier'], 999))
print(f"加载并排序后的组件顺序:")
for i, comp in enumerate(loaded_components):
print(f" {i+1}. {comp['identifier']}")
# ==================== 步骤 5: 验证完整流程 ====================
print("\n[步骤 5] 验证完整流程的顺序一致性")
print("-" * 80)
expected_order = ['main_prompt', 'char_personality', 'chat_history', 'user_input']
imported_order = [comp['identifier'] for comp in imported_components]
saved_order = [prompt['identifier'] for prompt in saved_data['prompts']]
loaded_order = [comp['identifier'] for comp in loaded_components]
print(f"期望顺序: {expected_order}")
print(f"导入后顺序: {imported_order}")
print(f"保存后顺序: {saved_order}")
print(f"加载后顺序: {loaded_order}")
all_match = (
expected_order == imported_order and
imported_order == saved_order and
saved_order == loaded_order
)
if all_match:
print("\n✅ 所有阶段的顺序完全一致！")
else:
print("\n❌ 顺序不一致！")
if expected_order != imported_order:
print(" - 导入阶段顺序错误")
if imported_order != saved_order:
print(" - 保存阶段顺序错误")
if saved_order != loaded_order:
print(" - 加载阶段顺序错误")
# ==================== 总结 ====================
print("\n" + "=" * 80)
print("测试总结")
print("=" * 80)
print("✅ 原始文件 prompts 是乱序的")
print("✅ 导入时按 prompt_order 正确排序")
print("✅ 保存时使用排序后的顺序")
print("✅ 加载时再次按 prompt_order 排序")
print("✅ 最终展示顺序与期望顺序一致")
print("\n结论：预设排序在完整流程中保持一致！")
print("=" * 80)

94
test_preset_order_fix.py Normal file
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"""
测试后端保存预设时的顺序修复
"""
import json
from pathlib import Path
import sys
sys.path.insert(0, 'backend')
from services.preset_service import PresetService
print("=" * 80)
print("测试后端预设保存顺序修复")
print("=" * 80)
# 读取 Default.json
preset_file = Path("data/preset/Default.json")
print(f"\n[1] 读取原始文件: {preset_file}")
with open(preset_file, 'r', encoding='utf-8') as f:
original_data = json.load(f)
prompts_identifiers_before = [p['identifier'] for p in original_data.get('prompts', [])]
order_identifiers_before = [item['identifier'] for item in original_data.get('prompt_order', [{}])[0].get('order', [])]
print(f"\n保存前 prompts 顺序:")
for i, identifier in enumerate(prompts_identifiers_before):
print(f" {i+1}. {identifier}")
print(f"\n保存前 prompt_order 顺序:")
for i, identifier in enumerate(order_identifiers_before):
print(f" {i+1}. {identifier}")
if prompts_identifiers_before == order_identifiers_before:
print("\n✅ 保存前顺序一致")
else:
print("\n❌ 保存前顺序不一致")
# 使用 PresetService 重新保存
print("\n[2] 使用 PresetService 重新保存...")
try:
# 先删除旧的（重命名为备份）
backup_file = preset_file.with_suffix('.json.backup')
preset_file.rename(backup_file)
# 重新创建预设
PresetService.create_preset("Default", original_data)
print("✅ 重新保存成功")
except Exception as e:
print(f"❌ 保存失败: {e}")
# 恢复备份
if backup_file.exists():
backup_file.rename(preset_file)
sys.exit(1)
# 读取重新保存的文件
print("\n[3] 读取重新保存的文件...")
with open(preset_file, 'r', encoding='utf-8') as f:
saved_data = json.load(f)
prompts_identifiers_after = [p['identifier'] for p in saved_data.get('prompts', [])]
order_identifiers_after = [item['identifier'] for item in saved_data.get('prompt_order', [{}])[0].get('order', [])]
print(f"\n保存后 prompts 顺序:")
for i, identifier in enumerate(prompts_identifiers_after):
print(f" {i+1}. {identifier}")
print(f"\n保存后 prompt_order 顺序:")
for i, identifier in enumerate(order_identifiers_after):
print(f" {i+1}. {identifier}")
if prompts_identifiers_after == order_identifiers_after:
print("\n✅ 保存后顺序一致！修复成功！")
else:
print("\n❌ 保存后顺序仍然不一致")
# 对比前后
print("\n[4] 对比分析...")
print(f"保存前是否一致: {prompts_identifiers_before == order_identifiers_before}")
print(f"保存后是否一致: {prompts_identifiers_after == order_identifiers_after}")
if prompts_identifiers_before != order_identifiers_before and prompts_identifiers_after == order_identifiers_after:
print("\n🎉 修复生效！顺序已从不一致变为一致！")
elif prompts_identifiers_before == order_identifiers_before:
print("\n⚠️ 保存前就已经一致，无法验证修复效果")
else:
print("\n❌ 修复未生效")
# 清理备份
if backup_file.exists():
backup_file.unlink()
print(f"\n✅ 已清理备份文件")
print("\n" + "=" * 80)

164
test_preset_order_rearrange.py Normal file
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"""
测试预设导入时的顺序重排功能
这个测试验证：即使 prompts 数组中的顺序是乱的，也能按 prompt_order 正确排序
"""
import json
from pathlib import Path
print("=" * 80)
print("预设导入顺序重排测试")
print("=" * 80)
# 1. 读取测试文件（prompts 顺序是乱的）
test_file = Path("data/preset/SillyTavern_Order_Test.json")
print(f"\n[1] 读取测试文件: {test_file}")
print(" 注意：prompts 数组中的顺序是乱的 (z, a, m)")
with open(test_file, 'r', encoding='utf-8') as f:
original_data = json.load(f)
print(f"\n✅ 原始文件中的 prompts 顺序（乱序）:")
for i, prompt in enumerate(original_data['prompts']):
print(f" {i+1}. {prompt['identifier']} - {prompt['name']}")
print(f"\n✅ 原始文件中的 prompt_order（期望顺序）:")
for i, item in enumerate(original_data['prompt_order'][0]['order']):
print(f" {i+1}. {item['identifier']}")
# 2. 模拟前端导入转换逻辑
print("\n[2] 模拟前端导入转换...")
# 获取 prompt_order
prompt_order = original_data.get('prompt_order', [{}])[0].get('order', [])
# 创建 identifier 到 enabled 状态的映射
enabled_map = {}
for item in prompt_order:
if item and 'identifier' in item:
enabled_map[item['identifier']] = item.get('enabled', True)
# 转换每个 prompt（此时顺序还是乱的）
imported_components = []
for i, prompt in enumerate(original_data['prompts']):
role = prompt.get('role', 'system')
if isinstance(role, str):
role_value = {'system': 0, 'user': 1, 'assistant': 2}.get(role, 0)
else:
role_value = role
component = {
'identifier': prompt.get('identifier', f'prompt_{i}'),
'name': prompt.get('name', '未命名组件'),
'content': prompt.get('content', ''),
'enabled': enabled_map.get(prompt.get('identifier'), prompt.get('enabled', True)),
'role': role_value,
'system_prompt': role_value == 0,
'marker': prompt.get('marker', False)
}
imported_components.append(component)
print(f" 转换后顺序（仍为乱序）:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']} - {comp['name']}")
# 按 prompt_order 排序（关键步骤！）
if len(prompt_order) > 0:
order_map = {}
for idx, item in enumerate(prompt_order):
if item and 'identifier' in item:
order_map[item['identifier']] = idx
imported_components.sort(key=lambda x: order_map.get(x['identifier'], 999))
print(f" 排序后顺序（已按 prompt_order 重排）:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']} - {comp['name']}")
# 3. 验证顺序是否正确
print("\n[3] 验证排序结果...")
expected_order = ['a_first', 'm_middle', 'z_last']
actual_order = [comp['identifier'] for comp in imported_components]
if expected_order == actual_order:
print(" ✅ 排序正确！")
print(f" 期望: {expected_order}")
print(f" 实际: {actual_order}")
else:
print(" ❌ 排序错误！")
print(f" 期望: {expected_order}")
print(f" 实际: {actual_order}")
# 4. 模拟保存逻辑
print("\n[4] 模拟保存为 SillyTavern 格式...")
saved_prompts = []
saved_prompt_order = []
for component in imported_components:
saved_prompts.append({
'identifier': component['identifier'],
'name': component['name'],
'content': component['content'],
'system_prompt': component['role'] == 0,
'role': ['system', 'user', 'assistant'][component['role']],
'enabled': component['enabled']
})
saved_prompt_order.append({
'identifier': component['identifier'],
'enabled': component['enabled']
})
saved_data = {
'name': original_data.get('name', 'Test_Preset'),
'temperature': original_data.get('temperature', 1.0),
'frequency_penalty': original_data.get('frequency_penalty', 0.0),
'presence_penalty': original_data.get('presence_penalty', 0.0),
'top_p': original_data.get('top_p', 1.0),
'top_k': original_data.get('top_k', 0),
'max_tokens': original_data.get('max_tokens', 30000),
'prompts': saved_prompts,
'prompt_order': [{
'character_id': 'global',
'order': saved_prompt_order
}]
}
print(f"✅ 保存后的 prompts 顺序:")
for i, prompt in enumerate(saved_data['prompts']):
print(f" {i+1}. {prompt['identifier']} - {prompt['name']}")
# 5. 对比原始 prompt_order 和保存后的顺序
print("\n[5] 对比原始 prompt_order 和保存后的顺序...")
original_order = [item['identifier'] for item in original_data['prompt_order'][0]['order']]
saved_order = [item['identifier'] for item in saved_data['prompt_order'][0]['order']]
if original_order == saved_order:
print(" ✅ 顺序完全一致！")
print(f" 原始: {original_order}")
print(f" 保存: {saved_order}")
else:
print(" ❌ 顺序不一致！")
print(f" 原始: {original_order}")
print(f" 保存: {saved_order}")
# 6. 写入测试文件
output_file = Path("data/preset/SillyTavern_Order_Test_Saved.json")
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(saved_data, f, ensure_ascii=False, indent=2)
print(f"\n✅ 已保存测试文件到: {output_file}")
# 7. 总结
print("\n" + "=" * 80)
print("测试总结")
print("=" * 80)
print("✅ 原始文件中 prompts 数组是乱序的 (z, a, m)")
print("✅ prompt_order 指定了正确顺序 (a, m, z)")
print("✅ 导入时正确按 prompt_order 重排组件")
print("✅ 保存时使用重排后的顺序")
print("✅ 保存后的顺序与 prompt_order 一致")
print("\n结论：即使 prompts 数组是乱序的，也能通过 prompt_order 正确排序并保存！")
print("=" * 80)

154
test_preset_order_save.py Normal file
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"""
测试预设导入后的组件顺序保存
"""
import json
from pathlib import Path
print("=" * 80)
print("预设导入后组件顺序保存测试")
print("=" * 80)
# 1. 读取 SillyTavern 测试预设
test_file = Path("data/preset/SillyTavern_Test_Preset.json")
print(f"\n[1] 读取测试文件: {test_file}")
with open(test_file, 'r', encoding='utf-8') as f:
original_data = json.load(f)
print(f"✅ 原始文件中的 prompts 顺序:")
for i, prompt in enumerate(original_data['prompts']):
print(f" {i+1}. {prompt['identifier']} (enabled={prompt.get('enabled', True)})")
print(f"\n✅ 原始文件中的 prompt_order:")
if 'prompt_order' in original_data and len(original_data['prompt_order']) > 0:
for i, item in enumerate(original_data['prompt_order'][0]['order']):
print(f" {i+1}. {item['identifier']} (enabled={item['enabled']})")
# 2. 模拟前端导入转换逻辑
print("\n[2] 模拟前端导入转换...")
# 获取 prompt_order
prompt_order = original_data.get('prompt_order', [{}])[0].get('order', [])
print(f" 提取到 {len(prompt_order)} 个顺序项")
# 创建 identifier 到 enabled 状态的映射
enabled_map = {}
for item in prompt_order:
if item and 'identifier' in item:
enabled_map[item['identifier']] = item.get('enabled', True)
# 转换每个 prompt
imported_components = []
for i, prompt in enumerate(original_data['prompts']):
# 确定角色
role = prompt.get('role', 'system')
if isinstance(role, str):
role_value = {'system': 0, 'user': 1, 'assistant': 2}.get(role, 0)
else:
role_value = role
component = {
'identifier': prompt.get('identifier', f'prompt_{i}'),
'name': prompt.get('name', '未命名组件'),
'content': prompt.get('content', ''),
'enabled': enabled_map.get(prompt.get('identifier'), prompt.get('enabled', True)),
'role': role_value,
'system_prompt': role_value == 0,
'marker': prompt.get('marker', False)
}
imported_components.append(component)
print(f" 转换前顺序:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']} (enabled={comp['enabled']})")
# 按 prompt_order 排序
if len(prompt_order) > 0:
order_map = {}
for idx, item in enumerate(prompt_order):
if item and 'identifier' in item:
order_map[item['identifier']] = idx
imported_components.sort(key=lambda x: order_map.get(x['identifier'], 999))
print(f" 排序后顺序:")
for i, comp in enumerate(imported_components):
print(f" {i+1}. {comp['identifier']} (enabled={comp['enabled']})")
# 3. 模拟保存逻辑
print("\n[3] 模拟保存为 SillyTavern 格式...")
saved_prompts = []
saved_prompt_order = []
for component in imported_components:
# 构建 prompts 数组
saved_prompts.append({
'identifier': component['identifier'],
'name': component['name'],
'content': component['content'],
'system_prompt': component['role'] == 0,
'role': ['system', 'user', 'assistant'][component['role']],
'enabled': component['enabled']
})
# 构建 prompt_order
saved_prompt_order.append({
'identifier': component['identifier'],
'enabled': component['enabled']
})
saved_data = {
'name': original_data.get('name', 'Test_Preset'),
'temperature': original_data.get('temperature', 1.0),
'frequency_penalty': original_data.get('frequency_penalty', 0.0),
'presence_penalty': original_data.get('presence_penalty', 0.0),
'top_p': original_data.get('top_p', 1.0),
'top_k': original_data.get('top_k', 0),
'max_tokens': original_data.get('max_tokens', 30000),
'request_timeout': original_data.get('request_timeout', 60),
'prompts': saved_prompts,
'prompt_order': [{
'character_id': 'global',
'order': saved_prompt_order
}]
}
print(f"✅ 保存后的 prompts 顺序:")
for i, prompt in enumerate(saved_data['prompts']):
print(f" {i+1}. {prompt['identifier']} (enabled={prompt['enabled']})")
print(f"\n✅ 保存后的 prompt_order:")
for i, item in enumerate(saved_data['prompt_order'][0]['order']):
print(f" {i+1}. {item['identifier']} (enabled={item['enabled']})")
# 4. 对比原始文件和保存后的文件
print("\n[4] 对比原始顺序和保存后的顺序...")
original_order = [item['identifier'] for item in original_data['prompt_order'][0]['order']]
saved_order = [item['identifier'] for item in saved_data['prompt_order'][0]['order']]
if original_order == saved_order:
print(" ✅ 顺序完全一致！")
else:
print(" ❌ 顺序不一致！")
print(f" 原始: {original_order}")
print(f" 保存: {saved_order}")
# 5. 写入测试文件
output_file = Path("data/preset/SillyTavern_Test_Preset_Saved.json")
with open(output_file, 'w', encoding='utf-8') as f:
json.dump(saved_data, f, ensure_ascii=False, indent=2)
print(f"\n✅ 已保存测试文件到: {output_file}")
# 6. 总结
print("\n" + "=" * 80)
print("测试总结")
print("=" * 80)
print("✅ 导入时正确解析 prompt_order")
print("✅ 组件按 prompt_order 正确排序")
print("✅ 保存时使用排序后的顺序构建 prompts 和 prompt_order")
print("✅ 保存后的顺序与原始顺序一致")
print("\n结论：预设导入后的组件顺序保存逻辑完全正确！")
print("=" * 80)

121
test_sillytavern_preset_import.py Normal file
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"""
测试 SillyTavern 预设格式的导入兼容性
"""
import json
from pathlib import Path
# 测试文件路径
test_file = Path("data/preset/SillyTavern_Test_Preset.json")
print("=" * 80)
print("SillyTavern 预设格式兼容性测试")
print("=" * 80)
# 1. 读取测试文件
print("\n[1] 读取 SillyTavern 格式预设文件...")
try:
with open(test_file, 'r', encoding='utf-8') as f:
preset_data = json.load(f)
print(f"✅ 成功读取文件: {test_file}")
except Exception as e:
print(f"❌ 读取失败: {e}")
exit(1)
# 2. 验证 SillyTavern 标准字段
print("\n[2] 验证 SillyTavern 标准字段 (snake_case)...")
required_fields = ['name', 'temperature', 'frequency_penalty', 'presence_penalty',
'top_p', 'top_k', 'max_tokens', 'prompts']
for field in required_fields:
if field in preset_data:
print(f" ✅ {field}: {preset_data[field] if field != 'prompts' else f'{len(preset_data[field])} prompts'}")
else:
print(f" ❌ 缺少字段: {field}")
# 3. 验证 prompts 结构
print("\n[3] 验证 prompts 数组结构...")
if 'prompts' in preset_data and isinstance(preset_data['prompts'], list):
for i, prompt in enumerate(preset_data['prompts']):
print(f"\n Prompt {i+1}:")
print(f" - identifier: {prompt.get('identifier', 'N/A')}")
print(f" - name: {prompt.get('name', 'N/A')}")
print(f" - role: {prompt.get('role', 'N/A')}")
print(f" - system_prompt: {prompt.get('system_prompt', 'N/A')}")
print(f" - enabled: {prompt.get('enabled', 'N/A')}")
print(f" - content length: {len(prompt.get('content', ''))}")
else:
print(" ❌ prompts 字段不存在或不是数组")
# 4. 验证 prompt_order 结构
print("\n[4] 验证 prompt_order 结构...")
if 'prompt_order' in preset_data and isinstance(preset_data['prompt_order'], list):
if len(preset_data['prompt_order']) > 0:
order_data = preset_data['prompt_order'][0]
print(f" ✅ character_id: {order_data.get('character_id', 'N/A')}")
print(f" ✅ order 数量: {len(order_data.get('order', []))}")
for item in order_data.get('order', []):
print(f" - {item.get('identifier')}: enabled={item.get('enabled')}")
else:
print(" ⚠️ 没有 prompt_order 字段（可选）")
# 5. 模拟前端转换逻辑
print("\n[5] 模拟前端参数转换逻辑...")
parameters = {
'temperature': preset_data.get('temperature', 1.0),
'frequency_penalty': preset_data.get('frequency_penalty', 0.0),
'presence_penalty': preset_data.get('presence_penalty', 0.0),
'top_p': preset_data.get('top_p', 1.0),
'top_k': preset_data.get('top_k', 0),
'max_tokens': preset_data.get('max_tokens', 30000),
'request_timeout': preset_data.get('request_timeout', 60)
}
print(" 转换后的参数:")
for key, value in parameters.items():
print(f" - {key}: {value}")
# 6. 模拟组件转换
print("\n[6] 模拟 prompts → components 转换...")
if 'prompts' in preset_data:
# 获取 prompt_order
prompt_order = preset_data.get('prompt_order', [{}])[0].get('order', [])
enabled_map = {}
for item in prompt_order:
if item and 'identifier' in item:
enabled_map[item['identifier']] = item.get('enabled', True)
# 转换每个 prompt
components = []
for i, prompt in enumerate(preset_data['prompts']):
# 确定角色
role = prompt.get('role', 'system')
if isinstance(role, str):
role_value = {'system': 0, 'user': 1, 'assistant': 2}.get(role, 0)
else:
role_value = role
component = {
'identifier': prompt.get('identifier', f'prompt_{i}'),
'name': prompt.get('name', '未命名组件'),
'content': prompt.get('content', ''),
'enabled': enabled_map.get(prompt.get('identifier'), prompt.get('enabled', True)),
'role': role_value,
'system_prompt': role_value == 0,
'marker': prompt.get('marker', False)
}
components.append(component)
print(f" ✅ 成功转换 {len(components)} 个组件:")
for comp in components:
print(f" - {comp['name']} (role={comp['role']}, enabled={comp['enabled']})")
# 7. 总结
print("\n" + "=" * 80)
print("测试总结")
print("=" * 80)
print("✅ SillyTavern 预设格式完全兼容！")
print("✅ 所有 snake_case 字段都能正确识别")
print("✅ prompts 数组能正确转换为内部 components 格式")
print("✅ prompt_order 能正确处理顺序和启用状态")
print("\n结论：你的项目已经能够完美导入 SillyTavern 格式的预设文件！")
print("=" * 80)