File size: 4,281 Bytes
14ea677 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 | import OpenAI from 'openai'
import { createLogger } from '../utils/logger'
import { generateCodeEditPrompt, getRoleSystemPrompt, getSharedModule } from '../prompts'
import type { CustomApiConfig, OutputMode, PromptOverrides } from '../types'
import { createCustomOpenAIClient } from './openai-client-factory'
import { createChatCompletionText } from './openai-stream'
import { buildTokenParams } from '../utils/reasoning-model'
const logger = createLogger('CodeEditService')
const CODER_TEMPERATURE = parseFloat(process.env.AI_TEMPERATURE || '0.7')
const MAX_TOKENS = parseInt(process.env.AI_MAX_TOKENS || '12000', 10)
const THINKING_TOKENS = parseInt(process.env.AI_THINKING_TOKENS || '20000', 10)
function createCustomClient(config: CustomApiConfig): OpenAI {
return createCustomOpenAIClient(config)
}
function applyPromptTemplate(
template: string,
values: Record<string, string>,
promptOverrides?: PromptOverrides
): string {
let output = template
// 替换共享模块占位符
output = output.replace(/\{\{apiIndexModule\}\}/g, getSharedModule('apiIndex', promptOverrides))
output = output.replace(/\{\{sharedSpecification\}\}/g, getSharedModule('specification', promptOverrides))
// 替换变量占位符
for (const [key, value] of Object.entries(values)) {
output = output.replace(new RegExp(`\\{\\{\\s*${key}\\s*\\}\\}`, 'g'), value || '')
}
return output
}
function extractCodeFromResponse(text: string, outputMode: OutputMode): string {
if (!text) return ''
const sanitized = text.replace(/<think>[\s\S]*?<\/think>/gi, '')
if (outputMode === 'image') {
return sanitized.trim()
}
const anchorMatch = sanitized.match(/### START ###([\s\S]*?)### END ###/)
if (anchorMatch) {
return anchorMatch[1].trim()
}
const codeMatch = sanitized.match(/```(?:python)?\n([\s\S]*?)```/i)
if (codeMatch) {
return codeMatch[1].trim()
}
return sanitized.trim()
}
export async function generateEditedManimCode(
concept: string,
instructions: string,
code: string,
outputMode: OutputMode,
customApiConfig?: CustomApiConfig,
promptOverrides?: PromptOverrides
): Promise<string> {
if (!customApiConfig) {
throw new Error('No upstream AI is configured for this request')
}
const model = customApiConfig.model?.trim() || ''
if (!model) {
throw new Error('No model available')
}
const client = createCustomClient(customApiConfig)
try {
const baseSystemPrompt = getRoleSystemPrompt('codeEdit', promptOverrides)
const userPromptOverride = promptOverrides?.roles?.codeEdit?.user
const baseUserPrompt = userPromptOverride
? applyPromptTemplate(userPromptOverride, { concept, instructions, code, outputMode }, promptOverrides)
: generateCodeEditPrompt(concept, instructions, code, outputMode)
const systemPrompt = baseSystemPrompt
const userPrompt = baseUserPrompt
logger.info('开始 AI 修改代码', { concept, outputMode })
const { content, mode } = await createChatCompletionText(
client,
{
model,
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: userPrompt }
],
temperature: CODER_TEMPERATURE,
...buildTokenParams(THINKING_TOKENS, MAX_TOKENS)
},
{ fallbackToNonStream: true, usageLabel: 'code-edit' }
)
if (!content) {
logger.warn('AI 修改返回空内容')
return ''
}
const extracted = extractCodeFromResponse(content, outputMode)
logger.info('AI 修改完成', {
concept,
outputMode,
mode,
length: extracted.length,
codePreview: extracted.slice(0, 500)
})
return extracted
} catch (error) {
if (error instanceof OpenAI.APIError) {
logger.error('AI 修改 API 错误', {
concept,
status: error.status,
code: error.code,
type: error.type,
message: error.message
})
} else if (error instanceof Error) {
logger.error('AI 修改失败', { concept, errorName: error.name, errorMessage: error.message })
} else {
logger.error('AI 修改失败，未知错误', { concept, error: String(error) })
}
return ''
}
}
export function isCodeEditAvailable(): boolean {
return true
}
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