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generateDanceVideo() takes a queued generationJobs record through prompt build -> forward character/garment/dance-ref uploads to H3 Console's /v1/assets -> POST /v1/videos -> poll -> push a traced clip into library.json (characterId/garmentId/refDanceVideoId). Mirrors generateForPrompt's submit/poll/persist shape but keyed off the new generationJobs store so a restart resumes any in-flight job by its h3JobId, same as resumeGenerations() does for the live queue. POST /api/admin/generate accepts characterId/garmentId (+ optional refDanceVideoId, else a random active dance-ref is picked) and skips straight to the cached clip if that character x garment combo was already generated (M.7 dedupe). GET /api/admin/generate/:id polls job status. Tests spin up a mock H3 Console over HTTP so the full submit/poll/land path runs offline. Also fixes two existing test fixtures (dressup-crud, admin-pages-flow) that spawn server.js without copying prompt-template.js — worked until T8 added the first require() of it into server.js, at which point the spawned server silently failed to boot. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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buildStage2Prompt() renders MVCP M.15's confirmed one-step six-section template and enforces the two dynamic risks M.15.1 flagged: caps appearanceDescriptor/garmentDescriptor at ~40 words each, and truncates motionDescriptor if it alone would push detailed_description past H6's 500-word cap (the only placeholder that lands in that section). Also fixes the footwear-drift the S1 spike found (model self-selected shoes when the prompt didn't constrain them) — pins footwear to <Picture 1> in both subject_definitions and retention_analysis, and says <Picture 2> doesn't affect it. Propagated the same fix into the M.15 template in the MVCP doc so the doc and the code don't drift. Tests check the mechanical M.15.1 items that are checkable from the rendered string (H1/H5/H6/H9) plus the truncation behavior and the footwear fix. H13 (reference counts) is a submission-payload concern, covered by T8's tests instead.
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Table + inline edit + add-form pages matching admin.html's existing conventions, wired to the T3-T5 CRUD API and T2's upload endpoints. Cross-linked with admin.html and each other in the topbar. No browser tooling available in this environment to render/click through these, so admin-pages-flow.test.js exercises the exact API call sequence each page's JS performs (login -> upload a real file -> create with the returned URL -> list -> confirm the shape the table renders), which is where a field-name mismatch would surface.
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POST /api/admin/upload-video: mp4 magic-byte sniff (checks the ftyp box, not offset-0 like images), 50MB cap, no re-encode needed (unlike images, no EXIF/GPS concern for video). Reuses the multipart parser and uploads/ layout from T2's image path via a shared placeInUploads helper.
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mountCrud() is a small generic GET-list/POST-create/PATCH/DELETE router shared across the three entities (same shape, see MVCP M.3/M.4/M.5) instead of copy-pasting the boilerplate three times. Each entity fills in its own admin_seed-appropriate defaults on create. characters additionally enforces the single-default-character invariant (2 节) across create/update. HTML admin pages for these come next.
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Single shared password (.env ADMIN_PASSWORD) + in-memory HttpOnly session cookie, no accounts/roles — MVCP M.1/M.10's real account system supersedes this in period 3. Covers the existing /api/admin/library/* routes (previously unauthenticated, see architecture.md 1.2's tech-debt note) plus the new upload endpoint. admin.html gets a fetch() interceptor that redirects to the new admin-login.html on any 401 from /api/admin/*, rather than patching every call site.
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POST /api/admin/upload: hand-rolled multipart parser (no deps installed in this project), real magic-byte sniffing (rejects extension-spoofed files), 8MB cap, and EXIF/GPS stripping via a sips bmp round-trip (macOS-native, no dependency — sips's direct jpeg->jpeg re-encode alone does NOT strip EXIF, only the bmp intermediate does). GET /uploads/* serves the result with a path-traversal guard. forwardToH3Assets() is the T7/T8 hook for pushing a saved upload to H3 Console's own POST /v1/assets (found in the S1-S4 spike) — not covered by the automated suite since it needs a live network call, same treatment as the spike scripts.
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S1: person+garment images directly into ref2va with attribute_transfer produce correct face/outfit/motion in one call — no separate compose step needed. S2: reference_video_urls has a real, strong effect on output motion (A/B tested). S4: H3 Console's own POST /v1/assets endpoint (undocumented until now) solves asset reachability without exposing our own uploads/ publicly. Evidence and scripts in spike/s1-s2-s4-2026-09-02/. Propagated the one-step design into the requirements doc, MVCP design doc, the architecture doc, and H3-CONSOLE.md; dev-plan.md's spike section marked done and its task table updated accordingly.
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Generic createStore(filePath) shared by characters.json/garments.json/ dance-refs.json, same full-read/full-write pattern as library.json. Not yet wired into server.js routes — that's T3-T5.
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Duration: fixed 10s (within H3's 4-15s hard constraint), frames=240 @ 24fps. Prompt: follows the internal H3 prompt-writing methodology already sitting in the repo (docs/h3skill.md, from a parallel session) — the "all-purpose reference mode" six-section structure. Character appearance details are auto-captioned from the Stage1 composed image (new composed_images. appearanceDescriptor field); dance motion phrasing is admin-authored once per reference video (new dance_refs.motionDescriptor field), since the format requires concrete descriptors and forbids "as shown in the picture." Flagged as needing a pass through h3skill.md's own 22-item mechanical acceptance checklist before production use, not claimed as fully compliant. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SdtXTsDRz5QWMjvt1HBXLz
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H3_GEN_PARAMS.frames 120 -> 240 (at 24fps, 5s -> 10s), still within H3's 4-15s range (H2 in docs/h3skill.md). Updated the prompt-optimization system prompt's duration reference and widened its word budget (40-70 -> 60-100) to match — still one continuous shot, just more room to let the camera move and the action unfold. Verified against the real GLM endpoint. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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Previously left as inline "勘误" patch notes; now the baseline doc (docs/done) states the current 480x832 default outright, and the dance-room docs describe live.html/dance.html as two independently configured H3_GEN_PARAMS that happen to agree, rather than flagging an erratum. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SdtXTsDRz5QWMjvt1HBXLz
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Data model, front/back-end view inventory, button-level control design, and per-user-type process flows for the not-yet-built feature. Also corrects the requirements doc's stale "live.html stays landscape" claim now that H3_GEN_PARAMS was changed to portrait there too (commit 1dc7084). Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SdtXTsDRz5QWMjvt1HBXLz
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The previous system prompt asked GLM for a free-form "shot-by-shot" expansion, which reliably produced 4-5 fake cuts with timestamps running out to 8-10s — impossible for a clip fixed at ~5s (H3_GEN_PARAMS.frames / FPS). Rewrote it against docs/h3skill.md (MiniMax's own H3 prompt-writing methodology, added alongside this commit): every chat prompt has no reference images, so it's always T2VA mode, and at ~5s it's one continuous shot, never a montage. The new prompt asks for H3's actual three-field T2VA structure (integrated_multimodal_description / overall_soundscape / non_diegetic_music, fixed order and labels), a single dominant camera movement from the official vocabulary (type + amplitude + speed), concrete lighting (no hollow buzzwords like "8K"/"cinematic" alone), and — previously missing entirely — explicit sound design. Verified against the real GLM endpoint on several sample prompts: single continuous shot throughout, correct field structure, no more impossible multi-shot timestamps. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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Documents the new outfit-swap dance live room (dance.html) requirements alongside the existing text-prompt live channel baseline, plus the combined system architecture covering both. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SdtXTsDRz5QWMjvt1HBXLz
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Adds a prompt-optimization step ahead of H3 generation: a viewer's short chat line ("一只猫跳舞") gets expanded into a detailed shot-by-shot English prompt (camera work, lighting, action, setting) via one GLM Coding Plan call (glm-5.3-flash, /api/coding/ endpoint — the coding-plan-specific path, not the pay-per-token one) before being handed to H3. The expanded prompt becomes the clip's fullPrompt; the original short text stays as the display prompt. Persisted on the queue entry so a restart mid-generation doesn't re-call GLM. Best-effort throughout — no API key, a timeout, or any GLM error just falls back to using the original text unchanged, never blocking generation. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ -
Swaps the H3_GEN_PARAMS default so future chat-triggered generations come out mobile-friendly (9:16) instead of 832x480 landscape. Existing library clips keep whatever aspect ratio they were generated at — the player already uses object-fit: contain, so mixed aspect ratios render fine either way. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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Adds playCount to each library clip, incremented every time it airs (markPlayed). The idle-filler pick in pickNextClip now randomizes only among the least-played clips in the eligible pool — everyone at 0 plays first, then everyone tied at 1, and so on — instead of picking uniformly at random across the whole library, which let some clips rack up far more airtime than others by chance alone. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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The video autoplays muted underneath a full-screen splash — logo, play icon, slogan and a credit line, matching infiniteslop.ai's own splash. Clicking it is the user gesture that lets the browser allow unmuted playback, so desktop viewers land with sound instead of the silent-until-you-find-the-mute-button experience from the previous change. Mobile stays muted after entry, same as infiniteslop.ai, since unmuted autoplay-adjacent playback is unreliable there. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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Drops the muted attribute and tries an unmuted autoplay first; if the browser blocks unmuted autoplay (no prior user gesture on the page), falls back to muted playback and syncs the mute button label to match. Once a viewer unmutes once, later clip switches keep playing with sound. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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Reworks live.css/live.html to match infiniteslop.ai's visual language: Tahoma bold type, pure-black canvas, hot-pink accent, and hand-drawn white cards with a thick black border + hard offset shadow for every button/bubble/prompt card. Left queue now groups into 接下来播放/生成中/排队中 sections, the center gets a white "now playing" card (time + requester + prompt) plus a pulsing LIVE pill, chat bubbles are colored per-nickname via a pastel hash, and the top bar gained a chat-close toggle alongside mute and the watching count. Adds real upvoting to go with the new queue UI: POST /api/queue/vote/:id toggles a per-viewer (cookie uid) vote on a queued prompt, and pickNextClip now schedules the highest-voted matched/ready entry first instead of strict FIFO — lets chat bump a favorite prompt to the front of the line. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0144MiJ2cLjMd9jWaeEpVfUJ
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- "昵称 X ✎" button (next to the "聊天" title) replaced with a row directly above the chat input: hidden until a nickname is set, then shows "<nickname> change name" — matches infiniteslop.ai's own placement/label - Nickname prompt now triggers on focusing the chat input itself, not just on hitting send — so a first-time visitor sees it the moment they click in Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Previously the nickname modal only appeared implicitly on first chat send, with no way to see or change it afterward. Adds an always-visible "昵称 X ✎" button next to the chat panel title — same modal, pre-filled with the current nickname, keeps the existing uid when editing. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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- Cookie-based viewer identity: first chat attempt prompts for a nickname (inline modal, not a blocking native prompt()), generates a client-side uid, both persisted in cookies for 1 year - Right panel is now a live chat feed (username + message + status) with an input row below it, replacing the old bare prompt textarea - New POST /api/chat: runs a moderation check (banned-word blocklist — ponytail: starter list, not a real content policy, swap in the real one) before a message is allowed into the existing prompt-matching/generation pipeline; rejected messages still show in the chat log, just flagged - New GET /api/chat: recent chat history (capped at 300), polled every 3s - Left queue simplified to prompt + submitter name only — dropped the resolution/duration/date metadata that was there before - schedule/promptQueue now carry `requestedBy`/`nickname` through to /api/live/state so the left queue and "now playing" bar can show who asked for what - /api/prompt kept working (now a thin wrapper over the same submitPromptToQueue() the chat endpoint uses) for direct API testing Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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Inspected infiniteslop.ai's computed styles directly (fonts, colors, button shapes) rather than guessing from memory: - Pure black background, Tahoma body font (matches their retro-web feel) - Shrikhand display font for the logo mark, pink drop-shadow for pop (their black stroke doesn't read on a black background, so swapped) - Hot-pink accent (#ff90e8, their exact "Say" button color) for active tabs, the primary CTA button, and active-row/tab indicators - White pill buttons with bold black text for secondary controls (tabs, mute toggle) — matches their unmute/chat button treatment Layout structure (queue-left/player-center/input-right, mobile sub-tabs, no native video controls) is unchanged — this is a re-skin, not a layout clone, since that structure was built to this project's own requirements. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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- library.json: all 303 real entries now have casual zh/en names (prompt/promptEn) - ingest.js: fixed a data-loss bug where the H3 console fetch was hardcoded to limit=200, silently dropping older jobs (and their edited names) as new content pushed them out of the window; sync is now a non-destructive merge with a much higher fetch limit - ingest.js: replaced the prefix-only test-job regex with a length-gated word-boundary check after 5 infra smoke-test clips slipped past it ("test verify", "cancel test - ...", "final flip test") — no false positives against the 303 real entries - deleted the 5 stray test clips (also removed on the H3 console side) Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> -
Static video-gen testing tool (MiniMax native API, then fal.ai) that grew into an AI drama live channel backed by an internal H3 Console GPU cluster: shared virtual-playhead live playback, prompt submit/match/generate queue, admin CRUD for the video library, and bilingual (zh/en) semantic clip names. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>