mirror of
https://github.com/EthanMarti/infio-copilot.git
synced 2026-05-09 00:20:09 +00:00
init
This commit is contained in:
duanfuxiang
239
src/types/settings.ts
Normal file
239
src/types/settings.ts
Normal file
@@ -0,0 +1,239 @@
|
||||
import { z } from 'zod';
|
||||
|
||||
|
||||
import { DEFAULT_MODELS } from '../constants';
|
||||
import {
|
||||
fewShotExampleSchema,
|
||||
MAX_DELAY,
|
||||
MAX_MAX_CHAR_LIMIT,
|
||||
MIN_DELAY,
|
||||
MIN_MAX_CHAR_LIMIT,
|
||||
modelOptionsSchema
|
||||
} from '../settings/versions/shared';
|
||||
import { DEFAULT_AUTOCOMPLETE_SETTINGS } from "../settings/versions/v1/v1";
|
||||
import { isRegexValid, isValidIgnorePattern } from '../utils/auto-complete';
|
||||
|
||||
export const SETTINGS_SCHEMA_VERSION = 0.1
|
||||
|
||||
const ollamaModelSchema = z.object({
|
||||
baseUrl: z.string().catch(''),
|
||||
model: z.string().catch(''),
|
||||
})
|
||||
|
||||
const openAICompatibleModelSchema = z.object({
|
||||
baseUrl: z.string().catch(''),
|
||||
apiKey: z.string().catch(''),
|
||||
model: z.string().catch(''),
|
||||
})
|
||||
|
||||
const ragOptionsSchema = z.object({
|
||||
chunkSize: z.number().catch(1000),
|
||||
thresholdTokens: z.number().catch(8192),
|
||||
minSimilarity: z.number().catch(0.0),
|
||||
limit: z.number().catch(10),
|
||||
excludePatterns: z.array(z.string()).catch([]),
|
||||
includePatterns: z.array(z.string()).catch([]),
|
||||
})
|
||||
|
||||
export const triggerSchema = z.object({
|
||||
type: z.enum(['string', 'regex']),
|
||||
value: z.string().min(1, { message: "Trigger value must be at least 1 character long" })
|
||||
}).strict().superRefine((trigger, ctx) => {
|
||||
if (trigger.type === "regex") {
|
||||
if (!trigger.value.endsWith("$")) {
|
||||
ctx.addIssue({
|
||||
code: z.ZodIssueCode.custom,
|
||||
message: "Regex triggers must end with a $.",
|
||||
path: ["value"],
|
||||
});
|
||||
}
|
||||
if (!isRegexValid(trigger.value)) {
|
||||
ctx.addIssue({
|
||||
code: z.ZodIssueCode.custom,
|
||||
message: `Invalid regex: "${trigger.value}"`,
|
||||
path: ["value"],
|
||||
});
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
const InfioSettingsSchema = z.object({
|
||||
// Version
|
||||
version: z.literal(SETTINGS_SCHEMA_VERSION).catch(SETTINGS_SCHEMA_VERSION),
|
||||
|
||||
// activeModels
|
||||
activeModels: z.array(
|
||||
z.object({
|
||||
name: z.string(),
|
||||
provider: z.string(),
|
||||
enabled: z.boolean(),
|
||||
isEmbeddingModel: z.boolean(),
|
||||
isBuiltIn: z.boolean(),
|
||||
apiKey: z.string().optional(),
|
||||
baseUrl: z.string().optional(),
|
||||
dimension: z.number().optional(),
|
||||
})
|
||||
).catch(DEFAULT_MODELS),
|
||||
|
||||
// API Keys
|
||||
infioApiKey: z.string().catch(''),
|
||||
openAIApiKey: z.string().catch(''),
|
||||
anthropicApiKey: z.string().catch(''),
|
||||
geminiApiKey: z.string().catch(''),
|
||||
groqApiKey: z.string().catch(''),
|
||||
deepseekApiKey: z.string().catch(''),
|
||||
|
||||
// DEFAULT Chat Model
|
||||
chatModelId: z.string().catch('deepseek-chat'),
|
||||
ollamaChatModel: ollamaModelSchema.catch({
|
||||
baseUrl: '',
|
||||
model: '',
|
||||
}),
|
||||
openAICompatibleChatModel: openAICompatibleModelSchema.catch({
|
||||
baseUrl: '',
|
||||
apiKey: '',
|
||||
model: '',
|
||||
}),
|
||||
|
||||
// DEFAULT Apply Model
|
||||
applyModelId: z.string().catch('deepseek-chat'),
|
||||
ollamaApplyModel: ollamaModelSchema.catch({
|
||||
baseUrl: '',
|
||||
model: '',
|
||||
}),
|
||||
openAICompatibleApplyModel: openAICompatibleModelSchema.catch({
|
||||
baseUrl: '',
|
||||
apiKey: '',
|
||||
model: '',
|
||||
}),
|
||||
|
||||
// DEFAULT Embedding Model
|
||||
embeddingModelId: z.string().catch(
|
||||
'text-embedding-004',
|
||||
),
|
||||
ollamaEmbeddingModel: ollamaModelSchema.catch({
|
||||
baseUrl: '',
|
||||
model: '',
|
||||
}),
|
||||
|
||||
// System Prompt
|
||||
systemPrompt: z.string().catch(''),
|
||||
|
||||
// RAG Options
|
||||
ragOptions: ragOptionsSchema.catch({
|
||||
chunkSize: 1000,
|
||||
thresholdTokens: 8192,
|
||||
minSimilarity: 0.0,
|
||||
limit: 10,
|
||||
excludePatterns: [],
|
||||
includePatterns: [],
|
||||
}),
|
||||
|
||||
// autocomplete options
|
||||
autocompleteEnabled: z.boolean(),
|
||||
advancedMode: z.boolean(),
|
||||
apiProvider: z.enum(['azure', 'openai', "ollama"]),
|
||||
azureOAIApiSettings: z.string().catch(''),
|
||||
openAIApiSettings: z.string().catch(''),
|
||||
ollamaApiSettings: z.string().catch(''),
|
||||
triggers: z.array(triggerSchema),
|
||||
delay: z.number().int().min(MIN_DELAY, { message: "Delay must be between 0ms and 2000ms" }).max(MAX_DELAY, { message: "Delay must be between 0ms and 2000ms" }),
|
||||
modelOptions: modelOptionsSchema,
|
||||
systemMessage: z.string().min(3, { message: "System message must be at least 3 characters long" }),
|
||||
fewShotExamples: z.array(fewShotExampleSchema),
|
||||
userMessageTemplate: z.string().min(3, { message: "User message template must be at least 3 characters long" }),
|
||||
chainOfThoughRemovalRegex: z.string().refine((regex) => isRegexValid(regex), { message: "Invalid regex" }),
|
||||
dontIncludeDataviews: z.boolean(),
|
||||
maxPrefixCharLimit: z.number().int().min(MIN_MAX_CHAR_LIMIT, { message: `Max prefix char limit must be at least ${MIN_MAX_CHAR_LIMIT}` }).max(MAX_MAX_CHAR_LIMIT, { message: `Max prefix char limit must be at most ${MAX_MAX_CHAR_LIMIT}` }),
|
||||
maxSuffixCharLimit: z.number().int().min(MIN_MAX_CHAR_LIMIT, { message: `Max prefix char limit must be at least ${MIN_MAX_CHAR_LIMIT}` }).max(MAX_MAX_CHAR_LIMIT, { message: `Max prefix char limit must be at most ${MAX_MAX_CHAR_LIMIT}` }),
|
||||
removeDuplicateMathBlockIndicator: z.boolean(),
|
||||
removeDuplicateCodeBlockIndicator: z.boolean(),
|
||||
ignoredFilePatterns: z.string().refine((value) => value
|
||||
.split("\n")
|
||||
.filter(s => s.trim().length > 0)
|
||||
.filter(s => !isValidIgnorePattern(s)).length === 0,
|
||||
{ message: "Invalid ignore pattern" }
|
||||
),
|
||||
ignoredTags: z.string().refine((value) => value
|
||||
.split("\n")
|
||||
.filter(s => s.includes(" ")).length === 0, { message: "Tags cannot contain spaces" }
|
||||
).refine((value) => value
|
||||
.split("\n")
|
||||
.filter(s => s.includes("#")).length === 0, { message: "Enter tags without the # symbol" }
|
||||
).refine((value) => value
|
||||
.split("\n")
|
||||
.filter(s => s.includes(",")).length === 0, { message: "Enter each tag on a new line without commas" }
|
||||
),
|
||||
cacheSuggestions: z.boolean(),
|
||||
debugMode: z.boolean(),
|
||||
})
|
||||
|
||||
export type InfioSettings = z.infer<typeof InfioSettingsSchema>
|
||||
|
||||
type Migration = {
|
||||
fromVersion: number
|
||||
toVersion: number
|
||||
migrate: (data: Record<string, unknown>) => Record<string, unknown>
|
||||
}
|
||||
|
||||
const MIGRATIONS: Migration[] = [
|
||||
{
|
||||
fromVersion: 0,
|
||||
toVersion: 1,
|
||||
migrate: (data) => {
|
||||
const newData = { ...data }
|
||||
if (
|
||||
'ollamaBaseUrl' in newData &&
|
||||
typeof newData.ollamaBaseUrl === 'string'
|
||||
) {
|
||||
newData.ollamaChatModel = {
|
||||
baseUrl: newData.ollamaBaseUrl,
|
||||
model: '',
|
||||
}
|
||||
newData.ollamaApplyModel = {
|
||||
baseUrl: newData.ollamaBaseUrl,
|
||||
model: '',
|
||||
}
|
||||
newData.ollamaEmbeddingModel = {
|
||||
baseUrl: newData.ollamaBaseUrl,
|
||||
model: '',
|
||||
}
|
||||
delete newData.ollamaBaseUrl
|
||||
}
|
||||
|
||||
return newData
|
||||
},
|
||||
},
|
||||
]
|
||||
|
||||
function migrateSettings(
|
||||
data: Record<string, unknown>,
|
||||
): Record<string, unknown> {
|
||||
let currentData = { ...data }
|
||||
const currentVersion = (currentData.version as number) ?? 0
|
||||
|
||||
for (const migration of MIGRATIONS) {
|
||||
if (
|
||||
currentVersion >= migration.fromVersion &&
|
||||
currentVersion < migration.toVersion &&
|
||||
migration.toVersion <= SETTINGS_SCHEMA_VERSION
|
||||
) {
|
||||
console.log(
|
||||
`Migrating settings from ${migration.fromVersion} to ${migration.toVersion}`,
|
||||
)
|
||||
currentData = migration.migrate(currentData)
|
||||
}
|
||||
}
|
||||
|
||||
return currentData
|
||||
}
|
||||
|
||||
export function parseInfioSettings(data: unknown): InfioSettings {
|
||||
try {
|
||||
const migratedData = migrateSettings(data as Record<string, unknown>)
|
||||
return InfioSettingsSchema.parse(migratedData)
|
||||
} catch (error) {
|
||||
console.warn('Invalid settings provided, using defaults:', error)
|
||||
return InfioSettingsSchema.parse({ ...DEFAULT_AUTOCOMPLETE_SETTINGS })
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user