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feat(app): lint & beautify

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ItzCrazyKns
2025-09-26 13:54:08 +05:30
parent dde6c8d719
commit 23dde9fa59
8 changed files with 111 additions and 59 deletions
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3
README.md
View File

@@ -131,7 +131,7 @@ If Perplexica tells you that you haven't configured any chat model providers, en
1. Your server is running on `0.0.0.0` (not `127.0.0.1`) and on the same port you put in the API URL.
2. You have specified the correct model name loaded by your local LLM server.
3. You have specified the correct API key, or if one is not defined, you have put *something* in the API key field and not left it empty.
3. You have specified the correct API key, or if one is not defined, you have put _something_ in the API key field and not left it empty.
#### Ollama Connection Errors
@@ -197,7 +197,6 @@ Perplexica runs on Next.js and handles all API requests. It works right away on
[![Run on ClawCloud](https://raw.githubusercontent.com/ClawCloud/Run-Template/refs/heads/main/Run-on-ClawCloud.svg)](https://template.run.claw.cloud/?referralCode=U11MRQ8U9RM4&openapp=system-fastdeploy%3FtemplateName%3Dperplexica)
[![Deploy on Hostinger](https://assets.hostinger.com/vps/deploy.svg)](https://www.hostinger.com/vps/docker-hosting?compose_url=https://raw.githubusercontent.com/ItzCrazyKns/Perplexica/refs/heads/master/docker-compose.yaml)
## Upcoming Features
- [x] Add settings page

2
drizzle/meta/0001_snapshot.json
View File

@@ -122,4 +122,4 @@
"internal": {
"indexes": {}
}
}
}

2
drizzle/meta/_journal.json
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@@ -17,4 +17,4 @@
"breakpoints": true
}
]
}
}

5
src/components/MessageInputActions/AttachSmall.tsx
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@@ -108,7 +108,10 @@ const AttachSmall = () => {
className="flex flex-row items-center justify-start w-full space-x-3 p-3"
>
<div className="bg-light-100 dark:bg-dark-100 flex items-center justify-center w-10 h-10 rounded-md">
<File size={16} className="text-black/70 dark:text-white/70" />
<File
size={16}
className="text-black/70 dark:text-white/70"
/>
</div>
<p className="text-black/70 dark:text-white/70 text-sm">
{file.fileName.length > 25

123
src/lib/db/migrate.ts
View File

@@ -15,33 +15,41 @@ db.exec(`
`);
function sanitizeSql(content: string) {
return content
.split(/\r?\n/)
.filter((l) => !l.trim().startsWith('-->') && !l.includes('statement-breakpoint'))
.join('\n');
return content
.split(/\r?\n/)
.filter(
(l) => !l.trim().startsWith('-->') && !l.includes('statement-breakpoint'),
)
.join('\n');
}
fs.readdirSync(migrationsFolder)
.filter((f) => f.endsWith('.sql'))
.sort()
.forEach((file) => {
const filePath = path.join(migrationsFolder, file);
let content = fs.readFileSync(filePath, 'utf-8');
content = sanitizeSql(content);
.filter((f) => f.endsWith('.sql'))
.sort()
.forEach((file) => {
const filePath = path.join(migrationsFolder, file);
let content = fs.readFileSync(filePath, 'utf-8');
content = sanitizeSql(content);
const migrationName = file.split('_')[0] || file;
const migrationName = file.split('_')[0] || file;
const already = db.prepare('SELECT 1 FROM ran_migrations WHERE name = ?').get(migrationName);
if (already) {
console.log(`Skipping already-applied migration: ${file}`);
return;
}
const already = db
.prepare('SELECT 1 FROM ran_migrations WHERE name = ?')
.get(migrationName);
if (already) {
console.log(`Skipping already-applied migration: ${file}`);
return;
}
try {
if (migrationName === '0001') {
const messages = db.prepare('SELECT id, type, metadata, content, chatId, messageId FROM messages').all();
try {
if (migrationName === '0001') {
const messages = db
.prepare(
'SELECT id, type, metadata, content, chatId, messageId FROM messages',
)
.all();
db.exec(`
db.exec(`
CREATE TABLE IF NOT EXISTS messages_with_sources (
id INTEGER PRIMARY KEY,
type TEXT NOT NULL,
@@ -53,37 +61,58 @@ fs.readdirSync(migrationsFolder)
);
`);
const insertMessage = db.prepare(`
const insertMessage = db.prepare(`
INSERT INTO messages_with_sources (type, chatId, createdAt, messageId, content, sources)
VALUES (?, ?, ?, ?, ?, ?)
`);
messages.forEach((msg: any) => {
if (msg.type === 'user') {
msg.metadata = JSON.parse(msg.metadata || '{}');
insertMessage.run('user', msg.chatId, msg.metadata['createdAt'], msg.messageId, msg.content, '[]');
} else if (msg.type === 'assistant') {
msg.metadata = JSON.parse(msg.metadata || '{}');
insertMessage.run('assistant', msg.chatId, msg.metadata['createdAt'], msg.messageId, msg.content, '[]');
const sources = msg.metadata['sources'] || '[]'
if (sources && sources.length > 0) {
insertMessage.run('source', msg.chatId, msg.metadata['createdAt'], `${msg.messageId}-source`, '', JSON.stringify(sources));
}
}
});
db.exec('DROP TABLE messages;');
db.exec('ALTER TABLE messages_with_sources RENAME TO messages;');
} else {
db.exec(content);
messages.forEach((msg: any) => {
if (msg.type === 'user') {
msg.metadata = JSON.parse(msg.metadata || '{}');
insertMessage.run(
'user',
msg.chatId,
msg.metadata['createdAt'],
msg.messageId,
msg.content,
'[]',
);
} else if (msg.type === 'assistant') {
msg.metadata = JSON.parse(msg.metadata || '{}');
insertMessage.run(
'assistant',
msg.chatId,
msg.metadata['createdAt'],
msg.messageId,
msg.content,
'[]',
);
const sources = msg.metadata['sources'] || '[]';
if (sources && sources.length > 0) {
insertMessage.run(
'source',
msg.chatId,
msg.metadata['createdAt'],
`${msg.messageId}-source`,
'',
JSON.stringify(sources),
);
}
}
});
db.prepare('INSERT OR IGNORE INTO ran_migrations (name) VALUES (?)').run(migrationName);
console.log(`Applied migration: ${file}`);
db.exec('DROP TABLE messages;');
db.exec('ALTER TABLE messages_with_sources RENAME TO messages;');
} else {
db.exec(content);
}
} catch (err) {
console.error(`Failed to apply migration ${file}:`, err);
throw err;
}
});
db.prepare('INSERT OR IGNORE INTO ran_migrations (name) VALUES (?)').run(
migrationName,
);
console.log(`Applied migration: ${file}`);
} catch (err) {
console.error(`Failed to apply migration ${file}:`, err);
throw err;
}
});

19
src/lib/providers/index.ts
View File

@@ -128,11 +128,22 @@ export const getAvailableChatModelProviders = async () => {
model: new ChatOpenAI({
apiKey: customOpenAiApiKey,
modelName: customOpenAiModelName,
...((() => {
const temperatureRestrictedModels = ['gpt-5-nano','gpt-5','gpt-5-mini','o1', 'o3', 'o3-mini', 'o4-mini'];
const isTemperatureRestricted = temperatureRestrictedModels.some(restrictedModel => customOpenAiModelName.includes(restrictedModel));
...(() => {
const temperatureRestrictedModels = [
'gpt-5-nano',
'gpt-5',
'gpt-5-mini',
'o1',
'o3',
'o3-mini',
'o4-mini',
];
const isTemperatureRestricted =
temperatureRestrictedModels.some((restrictedModel) =>
customOpenAiModelName.includes(restrictedModel),
);
return isTemperatureRestricted ? {} : { temperature: 0.7 };
})()),
})(),
configuration: {
baseURL: customOpenAiApiUrl,
},

2
src/lib/providers/lemonade.ts
View File

@@ -91,4 +91,4 @@ export const loadLemonadeEmbeddingModels = async () => {
console.error(`Error loading Lemonade embedding models: ${err}`);
return {};
}
};
};

14
src/lib/providers/openai.ts
View File

@@ -97,8 +97,18 @@ export const loadOpenAIChatModels = async () => {
openaiChatModels.forEach((model) => {
// Models that only support temperature = 1
const temperatureRestrictedModels = ['gpt-5-nano','gpt-5','gpt-5-mini','o1', 'o3', 'o3-mini', 'o4-mini'];
const isTemperatureRestricted = temperatureRestrictedModels.some(restrictedModel => model.key.includes(restrictedModel));
const temperatureRestrictedModels = [
'gpt-5-nano',
'gpt-5',
'gpt-5-mini',
'o1',
'o3',
'o3-mini',
'o4-mini',
];
const isTemperatureRestricted = temperatureRestrictedModels.some(
(restrictedModel) => model.key.includes(restrictedModel),
);
const modelConfig: any = {
apiKey: openaiApiKey,