File size: 6,510 Bytes
b1df986 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 | import { performance } from 'node:perf_hooks'
import { generateEditedManimCode } from '../../../workflow/code-edit/code-edit'
import { ensureJobNotCancelled } from '../../job/job-cancel'
import { resolveNarrationConfig, resolveNarrationWorkspace } from '../../manim/narration-mixer'
import { resolveReusedNarrationForJob } from '../../manim/narration-reuse'
import { analyzeAndGenerate } from './steps/analysis-step'
import { handlePreGeneratedCode, renderImages, renderVideo } from './steps/render-step'
import { storeResult } from './steps/storage-step'
import { storeProcessingStage } from './video-processor-utils'
import type { StoreJobResultOutcome } from '../../job/job-types'
import type { PromptOverrides, VideoJobData } from '../../../types'
interface FlowResult {
success: true
source: 'pre-generated' | 'ai-edit' | 'generation'
timings: Record<string, number>
renderPeakMemoryMB?: number
storeOutcome: StoreJobResultOutcome
}
interface BaseFlowArgs {
job: any
data: VideoJobData
promptOverrides?: PromptOverrides
timings: Record<string, number>
}
export async function runPreGeneratedFlow(args: BaseFlowArgs): Promise<FlowResult> {
const { job, data, timings } = args
const { jobId, concept, quality, outputMode = 'video', preGeneratedCode } = data
if (!preGeneratedCode) {
throw new Error('Missing preGeneratedCode')
}
await ensureJobNotCancelled(jobId, job)
const renderResult = await handlePreGeneratedCode(
jobId,
concept,
quality,
outputMode,
preGeneratedCode,
timings,
data
)
const storeStart = performance.now()
const storeOutcome = await storeResult(renderResult, timings, data.clientId)
timings.store = performance.now() - storeStart
return {
success: true,
source: 'pre-generated',
timings,
renderPeakMemoryMB: renderResult.renderPeakMemoryMB,
storeOutcome
}
}
export async function runEditFlow(args: BaseFlowArgs): Promise<FlowResult> {
const { job, data, promptOverrides, timings } = args
const { jobId, concept, quality, outputMode = 'video', editCode, editInstructions } = data
if (!editCode || !editInstructions) {
throw new Error('Missing edit request')
}
await ensureJobNotCancelled(jobId, job)
await storeProcessingStage(jobId, 'generating')
const editStart = performance.now()
const editedCode = await generateEditedManimCode(
concept,
editInstructions,
editCode,
outputMode,
data.customApiConfig,
promptOverrides,
data.referenceImages
)
timings.edit = performance.now() - editStart
if (!editedCode) {
throw new Error('AI edit returned empty code')
}
await ensureJobNotCancelled(jobId, job)
const reusedNarration = resolveReusedNarrationForJob({
renderCacheKey: data.renderCacheKey,
workspaceDirectory: data.workspaceDirectory,
jobId,
videoConfig: data.videoConfig,
outputMode
})
const generationResult = {
code: editedCode,
usedAI: true,
generationType: 'ai-edit' as const,
referenceImages: data.referenceImages,
narration: reusedNarration
}
const renderResult =
outputMode === 'image'
? await renderImages(
jobId,
concept,
quality,
generationResult,
timings,
data.videoConfig,
data.customApiConfig,
promptOverrides,
() => storeProcessingStage(jobId, 'rendering'),
data.clientId,
data.workspaceDirectory,
data.renderCacheKey,
data.workspaceOutputDirectory
)
: await renderVideo(
jobId,
concept,
quality,
generationResult,
timings,
data.customApiConfig,
data.videoConfig,
promptOverrides,
() => storeProcessingStage(jobId, 'rendering'),
data.clientId,
data.workspaceDirectory,
data.renderCacheKey,
data.workspaceOutputDirectory
)
const storeStart = performance.now()
const storeOutcome = await storeResult(renderResult, timings, data.clientId)
timings.store = performance.now() - storeStart
return {
success: true,
source: 'ai-edit',
timings,
renderPeakMemoryMB: renderResult.renderPeakMemoryMB,
storeOutcome
}
}
export async function runGenerationFlow(args: BaseFlowArgs): Promise<FlowResult> {
const { job, data, promptOverrides, timings } = args
const { jobId, concept, quality, outputMode = 'video', referenceImages } = data
await ensureJobNotCancelled(jobId, job)
// Narration is a video-only, opt-in sidecar. Images and disabled configs must not touch TTS.
const narrationConfig = resolveNarrationConfig(data.videoConfig, outputMode)
const narrationCacheKey = data.renderCacheKey || data.workspaceDirectory || `job-${jobId}`
const narration = narrationConfig
? {
config: narrationConfig,
outputDirectory: resolveNarrationWorkspace(narrationCacheKey, jobId).outputDirectory
}
: undefined
const codeResult = await analyzeAndGenerate(
jobId,
concept,
quality,
outputMode,
timings,
data.customApiConfig,
promptOverrides,
referenceImages,
data.problemPlan,
narration
)
await ensureJobNotCancelled(jobId, job)
const renderResult =
outputMode === 'image'
? await renderImages(
jobId,
concept,
quality,
codeResult,
timings,
data.videoConfig,
data.customApiConfig,
promptOverrides,
() => storeProcessingStage(jobId, 'rendering'),
data.clientId,
data.workspaceDirectory,
data.renderCacheKey,
data.workspaceOutputDirectory
)
: await renderVideo(
jobId,
concept,
quality,
codeResult,
timings,
data.customApiConfig,
data.videoConfig,
promptOverrides,
() => storeProcessingStage(jobId, 'rendering'),
data.clientId,
data.workspaceDirectory,
data.renderCacheKey,
data.workspaceOutputDirectory
)
await ensureJobNotCancelled(jobId, job)
const storeStart = performance.now()
const storeOutcome = await storeResult(renderResult, timings, data.clientId)
timings.store = performance.now() - storeStart
return {
success: true,
source: 'generation',
timings,
renderPeakMemoryMB: renderResult.renderPeakMemoryMB,
storeOutcome
}
}
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