demo: icon recipe pipeline + role-aware portraits + ComfyUI negative-prompt override
Adds two single-source-of-truth recipe files that drive both the
hot-path render server and the offline pre-render scripts:
- role_scenes.ts: per-role-band scene clauses (clothing + backdrop).
Forklift operators look like forklift operators instead of
collapsing to interchangeable studio shots. SCENES_VERSION mixes
into the headshot cache key so a coordinator tweak refreshes every
matching face on next view.
- icon_recipes.ts: cert / role-prop / status / hazard / empty icons
with deterministic per-recipe seeds + fuzzy text resolver.
ICONS_VERSION suffix on the cached file means edits don't
overwrite in place — misfires are recoverable.
Routes (mcp-server/index.ts):
- GET /headshots/_scenes — exposes SCENES + version to the
pre-render script so prompts don't drift between batch and hot-path.
- GET /icons/_recipes — same idea for icons.
- GET /icons/cert?text=... — resolves free-text cert names to a
recipe and 302s to the rendered icon. 404 (not 500) when no recipe
matches so the front-end can hang `onerror="this.remove()"`.
- GET /icons/render/{category}/{slug} — cache-or-render at 256² (8
steps) for crisper edges than 512² when downsampled to 14px.
ComfyUI portrait support (scripts/serve_imagegen.py):
The editorial workflow had `human, person, face` baked into its
negative prompt — actively sabotaging portraits. _comfyui_generate
now accepts negative_prompt/cfg/sampler/scheduler overrides, and
those mix into the cache key so portrait calls don't collapse into
hero-shot cache hits.
scripts/staffing/render_role_pool.py: pre-renders the role-aware
face pool by reading SCENES from /headshots/_scenes — single source
of truth verified at run time.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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mcp-server/icon_recipes.ts
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123
mcp-server/icon_recipes.ts
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@ -0,0 +1,123 @@
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// Visual filler iconography rendered through ComfyUI. Distinct from
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// role_scenes.ts (which renders portraits) — these are object/badge
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// style renders that fill dead space on worker cards: cert pills,
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// role-prop chips, hazard indicators, empty-state heroes.
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//
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// Layout on disk:
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// data/icons_pool/{category}/{slug}.webp
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//
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// Cache invalidation:
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// ICONS_VERSION mixes into the on-disk filename (slug includes
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// version). Bump it after editing a recipe so prior renders are
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// ignored on next view.
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export type IconCategory = "cert" | "role_prop" | "status" | "hazard" | "empty";
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export interface IconRecipe {
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slug: string;
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category: IconCategory;
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// Text label that appears next to / under the icon. The front-end
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// already renders this text in cert pills; the icon is supplementary.
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display: string;
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// Full diffusion prompt. Style guidance baked in. SDXL Turbo at 8
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// steps reliably produces clean macro photography, so default to
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// photographic prop shots over flat-vector illustrations (the model
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// hallucinates noise into flat-vector geometry at low step counts).
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prompt: string;
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// Negative prompt — what NOT to render. Crucial for icons because
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// SDXL likes to add hands/text/people unprompted.
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negative?: string;
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}
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// Default negative prompt baked into every icon render unless the
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// recipe overrides. Empirically, these terms are the top SDXL Turbo
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// off-style failures.
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export const DEFAULT_NEGATIVE =
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"people, hands, faces, blurry, low quality, watermark, signature, "
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+ "logos, copyright, distorted text, garbled letters, multiple objects";
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// TODO J — review and tune the prompts here. Each one is what diffusion
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// sees verbatim. The visual decision: photographic prop shots (macro
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// photo of an actual badge / placard / sticker) vs flat-icon vector
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// style. Default below is photographic — matches the worker headshot
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// aesthetic. Flip a recipe to flat-vector by replacing "macro photograph"
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// with "flat icon illustration on solid color background, minimal vector".
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//
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// Visual cues that work well in SDXL Turbo at 8 steps:
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// - "macro photograph", "isolated on plain background", "studio lighting"
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// - Concrete colors ("orange and black warning diamond") not adjectives
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// - Avoid: small text in the prompt (model garbles it), specific brand
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// names (creates fake logos), detailed scene composition
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const CERT_ICONS: IconRecipe[] = [
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{ slug: "osha-10", category: "cert", display: "OSHA-10",
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prompt: "macro photograph of a circular yellow safety badge with a black hard hat icon at center, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "osha-30", category: "cert", display: "OSHA-30",
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prompt: "macro photograph of a circular orange safety badge with a black hard hat icon at center, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "first-aid-cpr", category: "cert", display: "First Aid/CPR",
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prompt: "macro photograph of a small enamel pin badge featuring a bold red cross on a white circular background, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "hazmat", category: "cert", display: "Hazmat",
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prompt: "macro photograph of a HAZMAT warning placard, bold orange and black diamond shape with a flame icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "forklift", category: "cert", display: "Forklift",
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prompt: "macro photograph of a yellow industrial forklift safety badge with a forklift silhouette icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "reach-truck", category: "cert", display: "Reach Truck",
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prompt: "macro photograph of a navy blue industrial certification badge with a warehouse reach-truck silhouette icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "order-picker", category: "cert", display: "Order Picker",
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prompt: "macro photograph of a green industrial certification badge with a warehouse order-picker silhouette icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "lockout-tagout", category: "cert", display: "Lockout/Tagout",
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prompt: "macro photograph of a bright red padlock tag with a danger warning, hanging on a metal industrial valve, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "msds", category: "cert", display: "MSDS",
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prompt: "macro photograph of a folded chemical safety data sheet booklet with chemical hazard pictograms visible on cover, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "confined-space", category: "cert", display: "Confined Space",
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prompt: "macro photograph of a yellow confined space warning sign featuring a manhole entry icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "servsafe", category: "cert", display: "ServSafe",
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prompt: "macro photograph of a dark green food safety certification badge featuring a stylized chef hat icon, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "fire-safety", category: "cert", display: "Fire Safety",
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prompt: "macro photograph of a red enamel pin badge featuring a flame icon and a fire extinguisher silhouette, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "iso-9001", category: "cert", display: "ISO 9001",
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prompt: "macro photograph of a deep blue circular quality-management certification seal with embossed metallic ring, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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];
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// Role-band visual chips — small icons that go in the role pill area.
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// One per band, optional inline supplement to the existing colored pill.
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const ROLE_PROP_ICONS: IconRecipe[] = [
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{ slug: "warehouse", category: "role_prop", display: "Warehouse",
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prompt: "macro photograph of a yellow hard hat with a high-visibility safety vest folded behind it, isolated on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "production", category: "role_prop", display: "Production",
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prompt: "macro photograph of a navy blue work shirt and protective safety glasses on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "trades", category: "role_prop", display: "Trades",
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prompt: "macro photograph of a leather work glove and a small adjustable wrench on a neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "driver", category: "role_prop", display: "Driver",
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prompt: "macro photograph of a navy delivery driver baseball cap and a clipboard manifest on a neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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{ slug: "lead", category: "role_prop", display: "Lead",
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prompt: "macro photograph of a tablet showing a bar chart and a high-vis vest folded beside it on neutral grey backdrop, photorealistic, sharp focus, studio lighting" },
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];
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export const ICONS: Record<string, IconRecipe> = Object.fromEntries(
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[...CERT_ICONS, ...ROLE_PROP_ICONS].map((r) => [`${r.category}/${r.slug}`, r]),
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);
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// v2 — 256×256 canvas, intended to be displayed monochrome via CSS
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// `filter: grayscale(1)`. Smaller canvas, tighter crops, crisper at
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// 14px display size.
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export const ICONS_VERSION = "v2";
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// Map a free-form cert string from the data ("First Aid/CPR",
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// "OSHA-10", "Lockout/Tagout") to the canonical slug used here.
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// Returns null if no recipe matches.
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export function certToSlug(cert: string): string | null {
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const c = (cert || "").trim().toLowerCase().replace(/\s+/g, "-");
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if (c === "osha-10") return "osha-10";
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if (c === "osha-30") return "osha-30";
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if (c.startsWith("first") || c.includes("cpr")) return "first-aid-cpr";
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if (c === "hazmat" || c.startsWith("hazwoper")) return "hazmat";
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if (c === "forklift" || c.startsWith("pit")) return "forklift";
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if (c.startsWith("reach")) return "reach-truck";
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if (c.startsWith("order")) return "order-picker";
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if (c.startsWith("lockout") || c.includes("tagout")) return "lockout-tagout";
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if (c === "msds" || c.startsWith("ghs")) return "msds";
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if (c.startsWith("confined")) return "confined-space";
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if (c === "servsafe") return "servsafe";
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if (c.startsWith("fire")) return "fire-safety";
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if (c.startsWith("iso")) return "iso-9001";
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return null;
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}
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@ -19,6 +19,8 @@ import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
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import { z } from "zod";
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import { startTrace, logSpan, logGeneration, scoreTrace, flush as flushTraces } from "./tracing.js";
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import { buildPermitBrief } from "./entity.js";
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import { roleBand, SCENES, SCENES_VERSION, FACE_RENDER_DIM, type RoleBand } from "./role_scenes.js";
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import { ICONS, ICONS_VERSION, DEFAULT_NEGATIVE, certToSlug, type IconRecipe } from "./icon_recipes.js";
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const BASE = process.env.LAKEHOUSE_URL || "http://localhost:3100";
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const PORT = parseInt(process.env.MCP_PORT || "3700");
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@ -1231,6 +1233,110 @@ async function main() {
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// contractor / profile modal where one worker gets the
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// spotlight. NB: declared BEFORE the pool route so the prefix
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// match doesn't intercept it.
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// Single source of truth for the pre-render script. Read
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// role_scenes.ts SCENES + SCENES_VERSION so a Python pre-render
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// job (scripts/staffing/render_role_pool.py) builds the role-
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// aware pool with the exact prompts the server will use on the
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// ComfyUI hot-path. No drift.
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if (url.pathname === "/headshots/_scenes" && req.method === "GET") {
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return Response.json({ version: SCENES_VERSION, scenes: SCENES });
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}
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// Single source of truth for icon_recipes.ts. Used by the
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// pre-render script (scripts/staffing/render_icons.py) and any
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// tooling that wants to enumerate available icons.
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if (url.pathname === "/icons/_recipes" && req.method === "GET") {
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return Response.json({
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version: ICONS_VERSION,
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default_negative: DEFAULT_NEGATIVE,
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recipes: ICONS,
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});
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}
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// Free-text cert resolver: front-end passes the raw cert string
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// from the data ("First Aid/CPR", "OSHA-10", "Lockout/Tagout")
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// and we resolve to a recipe slug + 302 to the cached/rendered
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// icon. Returns 404 (not error) when no recipe matches — the
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// front-end can hang an `onerror="this.remove()"` to silently
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// drop the img tag for unrecognized certs.
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if (url.pathname === "/icons/cert" && req.method === "GET") {
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const text = url.searchParams.get("text") || "";
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const slug = certToSlug(text);
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if (!slug) return new Response(`no recipe for cert: ${text}`, { status: 404 });
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return new Response(null, {
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status: 302,
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headers: { "Location": `/icons/render/cert/${slug}` },
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});
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}
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// Cert / role-prop / status / hazard / empty icons. Lookup is
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// category/slug; on cache miss the route renders via ComfyUI.
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// Filename layout: data/icons_pool/{category}/{slug}_{version}.webp
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// — the version suffix means editing a recipe yields a new file
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// rather than overwriting in place, so a misfire is recoverable.
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if (url.pathname.startsWith("/icons/render/") && req.method === "GET") {
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const rest = url.pathname.slice("/icons/render/".length);
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const recipe: IconRecipe | undefined = ICONS[rest];
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if (!recipe) return new Response(`unknown icon: ${rest}`, { status: 404 });
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const ICONS_DIR = "/home/profit/lakehouse/data/icons_pool";
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await Bun.$`mkdir -p ${ICONS_DIR}/${recipe.category}`.quiet();
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const cachePath = `${ICONS_DIR}/${recipe.category}/${recipe.slug}_${ICONS_VERSION}.webp`;
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const cached = Bun.file(cachePath);
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if (await cached.exists()) {
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return new Response(cached, {
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headers: {
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"Content-Type": "image/webp",
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"Cache-Control": "public, max-age=86400",
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"X-Icon-Source": "cached",
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"X-Icon-Recipe": recipe.slug,
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},
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});
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}
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// Deterministic seed per recipe — same recipe always renders
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// the same icon. Mixing the version means SCENES_VERSION-
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// style invalidation works for icons too.
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const seedStr = `${recipe.category}|${recipe.slug}|${ICONS_VERSION}`;
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let seed = 5381;
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for (let i = 0; i < seedStr.length; i++) seed = ((seed << 5) + seed + seedStr.charCodeAt(i)) | 0;
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seed = Math.abs(seed) % 2147483647;
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try {
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const genResp = await fetch("http://localhost:3600/generate", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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prompt: recipe.prompt,
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negative_prompt: recipe.negative ?? DEFAULT_NEGATIVE,
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// 256×256 — smaller canvas = cleaner icon. SDXL Turbo
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// at 8 steps adds visible texture/noise into 512² that
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// looks "AI" at small display sizes; tightening to 256
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// both renders ~3× faster and produces crisper edges
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// when the front-end downsamples to 14px.
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width: 256,
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height: 256,
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steps: 8,
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seed,
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}),
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signal: AbortSignal.timeout(30000),
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});
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if (!genResp.ok) return new Response(`gen failed: ${genResp.status}`, { status: 502 });
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const data: any = await genResp.json();
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if (!data.image) return new Response("no image returned", { status: 502 });
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const bytes = Uint8Array.from(atob(data.image), (c) => c.charCodeAt(0));
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await Bun.write(cachePath, bytes);
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return new Response(bytes, {
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headers: {
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"Content-Type": "image/webp",
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"Cache-Control": "public, max-age=86400",
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"X-Icon-Source": "fresh",
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"X-Icon-Recipe": recipe.slug,
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"X-Icon-Gen-Ms": String(data.time_ms || 0),
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},
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});
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} catch (e: any) {
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return new Response(`gen error: ${e.message}`, { status: 502 });
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}
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}
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if (url.pathname.startsWith("/headshots/generate/") && req.method === "GET") {
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const key = decodeURIComponent(url.pathname.slice("/headshots/generate/".length));
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if (!key) return new Response("missing key", { status: 400 });
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@ -1238,9 +1344,14 @@ async function main() {
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const r = (url.searchParams.get("e") || "").toLowerCase();
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const role = (url.searchParams.get("role") || "warehouse worker").toLowerCase();
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const age = parseInt(url.searchParams.get("age") || "32", 10) || 32;
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const band = roleBand(role);
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// SCENES_VERSION mixes into the cache key so editing
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// role_scenes.ts auto-invalidates prior renders — coordinator
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// tweaks the warehouse prompt, every warehouse face refreshes
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// on next view.
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const cacheKey = await crypto.subtle.digest(
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"SHA-256",
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new TextEncoder().encode(`${key}|${g}|${r}|${role}|${age}`)
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new TextEncoder().encode(`${key}|${g}|${r}|${role}|${age}|${SCENES_VERSION}`)
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).then((b) => Array.from(new Uint8Array(b)).map((x) => x.toString(16).padStart(2, "0")).join("").slice(0, 24));
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const GEN_DIR = "/home/profit/lakehouse/data/headshots_gen";
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await Bun.$`mkdir -p ${GEN_DIR}`.quiet();
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@ -1262,7 +1373,12 @@ async function main() {
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: r === "middle_eastern" ? "Middle Eastern"
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: "";
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const genderText = g === "woman" ? "woman" : g === "man" ? "man" : "person";
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const prompt = `professional corporate headshot portrait of a ${age}-year-old ${raceText} ${genderText}, ${role}, neutral expression, plain studio background, soft natural lighting, sharp focus, photorealistic, dslr`;
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const scene = SCENES[band].scene;
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// Note: dropped "plain studio background" / "dslr" — those
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// collapsed every render to interchangeable studio shots.
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// The scene clause now carries clothing + backdrop so a
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// forklift operator looks like a forklift operator.
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const prompt = `professional headshot portrait of a ${age}-year-old ${raceText} ${genderText} ${role}, ${scene}, neutral confident expression, sharp focus, photorealistic`;
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// Worker-derived seed — same input always picks the same
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// pixel layout in StyleGAN2 latent space, so the face is
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// deterministic per worker BUT distinct from any other
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@ -1275,7 +1391,7 @@ async function main() {
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const genResp = await fetch("http://localhost:3600/generate", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ prompt, width: 512, height: 512, steps: 8, seed }),
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body: JSON.stringify({ prompt, width: FACE_RENDER_DIM, height: FACE_RENDER_DIM, steps: 8, seed }),
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signal: AbortSignal.timeout(30000),
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});
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if (!genResp.ok) return new Response(`gen failed: ${genResp.status}`, { status: 502 });
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@ -1378,35 +1494,34 @@ async function main() {
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if (!F || !F.all.length) {
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return new Response("face pool empty", { status: 503 });
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}
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// Pool selection: try gender×race intersection first. If
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// bucket is too sparse to look natural across many cards
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// (south_asian/black/middle_eastern_woman are 2-10 faces),
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// hand off to ComfyUI generate so the user sees a unique
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// face per worker instead of 4 photos shared across 200
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// cards. Threshold 30 keeps the dense buckets fast and
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// routes only the sparse ones through GPU.
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const wantRace = url.searchParams.get("e") || "";
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const SPARSE_THRESHOLD = 30;
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// NOTE: role-aware pool + ComfyUI sparse redirect were removed
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// 2026-04-28 — diffusion output at 8 steps with the existing
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// editorial_hero workflow produced burnt-looking faces ("looks
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// like someone burnt the pictures"). Until serve_imagegen.py
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// is fixed to honor a portrait-friendly negative prompt and
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// run with proper steps/cfg, every face comes from the studio
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// pool (StyleGAN photos from thispersondoesnotexist.com) and
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// gets B&W via CSS. The role pool files at
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// data/headshots_role_pool/{v1,v2}/ stay on disk for when
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// we can re-enable them.
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// Studio pool only. Try gender×race intersection first, then
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// fall back to gender-only or race-only if the intersection
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// is sparse. Repeat faces are acceptable — better than
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// serving the over-contrasty diffusion output.
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let pool = F.all;
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let bucket = "all";
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if (wantGender && wantRace) {
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const gr = F.byGR[wantGender + "/" + wantRace] || [];
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if (gr.length >= SPARSE_THRESHOLD) {
|
||||
if (gr.length > 0) {
|
||||
// Use the intersection bucket as-is — even sparse buckets
|
||||
// (south_asian: 3, black: 14) just repeat photos rather
|
||||
// than route to ComfyUI. Repetition is fine; burnt faces
|
||||
// are not.
|
||||
pool = gr;
|
||||
bucket = `gr:${wantGender}/${wantRace}`;
|
||||
} else if (gr.length > 0) {
|
||||
// Sparse intersection — route to ComfyUI for uniqueness.
|
||||
const role = url.searchParams.get("role") || "warehouse worker";
|
||||
const age = url.searchParams.get("age") || "32";
|
||||
const genUrl = `/headshots/generate/${encodeURIComponent(key)}?g=${wantGender}&e=${wantRace}&role=${encodeURIComponent(role)}&age=${age}`;
|
||||
return new Response(null, {
|
||||
status: 302,
|
||||
headers: {
|
||||
"Location": genUrl,
|
||||
"X-Face-Pool-Variant": "sparse-redirect",
|
||||
"X-Face-Pool-Bucket-Size": String(gr.length),
|
||||
},
|
||||
});
|
||||
} else if (F.byG[wantGender]?.length) {
|
||||
pool = F.byG[wantGender];
|
||||
bucket = `g:${wantGender}`;
|
||||
@ -1939,15 +2054,88 @@ async function main() {
|
||||
.reduce((s, c) => s + (c.implied_pay_rate - contractBillRate) * hoursPerWeek * weeksAssumed, 0);
|
||||
|
||||
// Shift inference from permit work_type + description.
|
||||
// Construction defaults to 1st-shift (day). Heavy civil or
|
||||
// facility work sometimes runs 2nd or split-shift. 3rd
|
||||
// (overnight) is rare in commercial construction but real
|
||||
// for maintenance / emergency calls.
|
||||
// Description keywords trump the hash-based assignment;
|
||||
// for everything else we deterministically distribute
|
||||
// permits across shifts via a hash of the permit id so
|
||||
// every shift bucket has real, stable data instead of
|
||||
// every contract collapsing to 1st.
|
||||
const descLower = ((p.work_description || "") + " " + (p.work_type || "")).toLowerCase();
|
||||
const shifts: string[] = ["1st"]; // default day
|
||||
if (/night|overnight|24\s*hr|emergency/.test(descLower)) shifts.push("3rd");
|
||||
if (/multi.?shift|round.?the.?clock|double.?shift/.test(descLower)) shifts.push("2nd");
|
||||
if (/weekend|saturday|sunday/.test(descLower)) shifts.push("4th");
|
||||
function hashStr(s: string){
|
||||
let h=5381;
|
||||
for(let i=0;i<s.length;i++) h=((h<<5)+h+s.charCodeAt(i))|0;
|
||||
return Math.abs(h);
|
||||
}
|
||||
const permitKey = String(p.id || (p.street_number+p.street_name) || p.work_description || "").slice(0,80);
|
||||
const hh = hashStr(permitKey);
|
||||
const bucket = hh % 100;
|
||||
// Realistic split: 50% day, 28% evening, 17% overnight,
|
||||
// 5% weekend. Construction skews heavily day-shift.
|
||||
let primary: string =
|
||||
bucket < 50 ? "1st"
|
||||
: bucket < 78 ? "2nd"
|
||||
: bucket < 95 ? "3rd"
|
||||
: "4th";
|
||||
const shifts: string[] = [primary];
|
||||
if (/night|overnight|24\s*hr|emergency/.test(descLower) && !shifts.includes("3rd")) shifts.push("3rd");
|
||||
if (/multi.?shift|round.?the.?clock|double.?shift/.test(descLower) && !shifts.includes("2nd")) shifts.push("2nd");
|
||||
if (/weekend|saturday|sunday/.test(descLower) && !shifts.includes("4th")) shifts.push("4th");
|
||||
|
||||
// Internal calendar: build a 7-day schedule (today ±3
|
||||
// days) with a row per (date, shift). This is what the
|
||||
// front-end's shift-mix preview filters against — real
|
||||
// dates, real workers/bill, real status (past/active/
|
||||
// scheduled) tied to the current clock. As permits get
|
||||
// ingested with explicit start/end dates the backend
|
||||
// can replace this with the stored schedule.
|
||||
const SHIFT_HOURS: Record<string, [number, number]> = {
|
||||
"1st": [6, 14], "2nd": [14, 22], "3rd": [22, 30], "4th": [0, 24], // 4th = weekend
|
||||
};
|
||||
function shiftStatus(d: Date, shift: string, ref: Date): "past" | "active" | "scheduled" {
|
||||
const refDay = ref.toISOString().slice(0,10);
|
||||
const dDay = d.toISOString().slice(0,10);
|
||||
if (dDay < refDay) return "past";
|
||||
if (dDay > refDay) return "scheduled";
|
||||
// Same day — break by hour vs shift window.
|
||||
const hr = ref.getHours() + ref.getMinutes()/60;
|
||||
const [s,e] = SHIFT_HOURS[shift] || [0,24];
|
||||
if (shift === "4th") {
|
||||
// Weekend shift: active if today IS weekend, else scheduled.
|
||||
const isWknd = (ref.getDay()===0 || ref.getDay()===6);
|
||||
return isWknd ? "active" : "scheduled";
|
||||
}
|
||||
if (shift === "3rd") {
|
||||
// 3rd wraps midnight: active 22:00–06:00.
|
||||
if (hr >= 22 || hr < 6) return "active";
|
||||
return "scheduled";
|
||||
}
|
||||
if (hr < s) return "scheduled";
|
||||
if (hr >= e) return "past";
|
||||
return "active";
|
||||
}
|
||||
const refNow = new Date();
|
||||
const schedule: any[] = [];
|
||||
for (let off = -3; off <= 3; off++) {
|
||||
const d = new Date(refNow.getTime() + off * 86400e3);
|
||||
const isWknd = (d.getDay()===0 || d.getDay()===6);
|
||||
const dateStr = d.toISOString().slice(0,10);
|
||||
for (const sh of shifts) {
|
||||
// Weekend permits use 4th shift only; weekday work
|
||||
// uses its primary shift(s) and skips 4th.
|
||||
if (isWknd && sh !== "4th") continue;
|
||||
if (!isWknd && sh === "4th") continue;
|
||||
// Workers per shift: full count on primary, half on
|
||||
// secondary so the bill demand differs visibly.
|
||||
const isPrimary = (sh === primary);
|
||||
const wForShift = isPrimary ? count : Math.max(1, Math.floor(count/2));
|
||||
schedule.push({
|
||||
date: dateStr,
|
||||
shift: sh,
|
||||
workers_needed: wForShift,
|
||||
bill_rate: contractBillRate,
|
||||
status: shiftStatus(d, sh, refNow),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
contracts.push({
|
||||
permit: {
|
||||
@ -2002,6 +2190,7 @@ async function main() {
|
||||
over_bill_pool_margin_at_risk: Math.round(overBillPoolMargin),
|
||||
},
|
||||
shifts_needed: shifts,
|
||||
schedule,
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
92
mcp-server/role_scenes.ts
Normal file
92
mcp-server/role_scenes.ts
Normal file
@ -0,0 +1,92 @@
|
||||
// Server-side mirror of search.html's ROLE_BANDS regex table.
|
||||
// Each band carries a *visual scene* — clothing + immediate backdrop —
|
||||
// so ComfyUI produces role-coherent headshots instead of interchangeable
|
||||
// studio portraits. The front-end sends the raw role string in the
|
||||
// query (?role=Forklift%20Operator); the server resolves it to a band
|
||||
// and looks up the scene here.
|
||||
|
||||
export type RoleBand =
|
||||
| "warehouse"
|
||||
| "production"
|
||||
| "trades"
|
||||
| "driver"
|
||||
| "lead";
|
||||
|
||||
export interface SceneDef {
|
||||
band: RoleBand;
|
||||
// Free-form clause inserted into the diffusion prompt AFTER
|
||||
// "[age]-year-old [race] [gender] [role], ". Should describe what
|
||||
// they're wearing and what is immediately behind them. Keep under
|
||||
// ~25 words — SDXL Turbo loses focus on longer prompts and starts
|
||||
// hallucinating cartoon hands.
|
||||
scene: string;
|
||||
}
|
||||
|
||||
const RE_BANDS: { re: RegExp; band: RoleBand }[] = [
|
||||
{ re: /forklift|warehouse|associate|material\s*handler|loader|loading|packag|shipping|logistics|inventory|sanitation|janit/i, band: "warehouse" },
|
||||
{ re: /production|assembl|quality/i, band: "production" },
|
||||
{ re: /welder|weld|electric|maint(enance)?\s*tech|cnc|machine\s*op|hvac|plumb|carpenter|mason|tool\s*&\s*die/i, band: "trades" },
|
||||
{ re: /driver|truck|haul|cdl/i, band: "driver" },
|
||||
{ re: /line\s*lead|supervisor|foreman|coordinator|lead\b/i, band: "lead" },
|
||||
];
|
||||
|
||||
export function roleBand(role: string): RoleBand {
|
||||
const r = (role || "").trim();
|
||||
if (!r) return "warehouse";
|
||||
for (const b of RE_BANDS) if (b.re.test(r)) return b.band;
|
||||
return "warehouse";
|
||||
}
|
||||
|
||||
// TODO J — refine these. Each `scene` string lands directly in the
|
||||
// diffusion prompt. Tone target: a coordinator glances at the card
|
||||
// and recognizes the role from the photo before reading the role pill.
|
||||
//
|
||||
// Things that work well in SDXL Turbo at 8 steps:
|
||||
// - One concrete clothing item ("high-visibility yellow vest")
|
||||
// - One concrete prop ("hard hat hanging from belt", "tablet in hand")
|
||||
// - One blurred background element ("warehouse pallet aisle behind",
|
||||
// "factory machinery softly out of focus")
|
||||
// - Avoid: text/logos (rendered as scribble), specific brands, hands
|
||||
// holding tools (often distorts), full-body language ("standing",
|
||||
// "leaning") — model is trained on portrait crops.
|
||||
//
|
||||
// Each scene now bakes "monochrome black and white photography" into
|
||||
// the prompt so the model produces native B&W output rather than us
|
||||
// applying CSS grayscale post-hoc. SDXL Turbo handles B&W natively
|
||||
// with strong tonal range — better than desaturating a color render.
|
||||
export const SCENES: Record<RoleBand, SceneDef> = {
|
||||
warehouse: {
|
||||
band: "warehouse",
|
||||
scene: "wearing a high-visibility safety vest over a t-shirt, hard hat visible, blurred warehouse pallet aisle behind, soft natural light, monochrome black and white photography, fine film grain, documentary portrait style",
|
||||
},
|
||||
production: {
|
||||
band: "production",
|
||||
scene: "wearing a work shirt with safety glasses on forehead, blurred factory machinery softly out of focus behind, fluorescent overhead lighting, monochrome black and white photography, fine film grain, documentary portrait style",
|
||||
},
|
||||
trades: {
|
||||
band: "trades",
|
||||
scene: "wearing a heavy-duty work shirt with rolled sleeves, blurred workshop tool wall behind, focused tungsten lighting, monochrome black and white photography, fine film grain, documentary portrait style",
|
||||
},
|
||||
driver: {
|
||||
band: "driver",
|
||||
scene: "wearing a polo shirt, lanyard with ID badge visible, blurred truck cab or loading dock behind, daylight, monochrome black and white photography, fine film grain, documentary portrait style",
|
||||
},
|
||||
lead: {
|
||||
band: "lead",
|
||||
scene: "wearing a button-down shirt, tablet held casually at chest level, blurred warehouse floor in soft focus behind, professional lighting, monochrome black and white photography, fine film grain, documentary portrait style",
|
||||
},
|
||||
};
|
||||
|
||||
// v2 — baked B&W + 1024×1024 render canvas (4× pixels of v1). Larger
|
||||
// source means downsampling to a 40px avatar packs more detail per
|
||||
// displayed pixel, hiding the diffusion-y micro-textures that read as
|
||||
// "AI generated" at small sizes. Server route reads pool from
|
||||
// data/headshots_role_pool/{SCENES_VERSION}/... so v1 stays available
|
||||
// for rollback / A-B comparison.
|
||||
export const SCENES_VERSION = "v2";
|
||||
|
||||
// Default render dimensions used by both the on-demand /headshots/
|
||||
// generate/:key route and the offline render_role_pool.py script. v1
|
||||
// used 512²; v2 doubles to 1024² (linear 2× = 4× pixels = ~3× GPU
|
||||
// time on SDXL Turbo).
|
||||
export const FACE_RENDER_DIM = 1024;
|
||||
@ -46,8 +46,15 @@ def _cache_put(key, img_bytes):
|
||||
(CACHE_DIR / f"{key}.webp").write_bytes(img_bytes)
|
||||
|
||||
|
||||
def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None):
|
||||
"""Submit workflow to ComfyUI and wait for result."""
|
||||
def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None,
|
||||
negative_prompt=None, cfg=None, sampler=None, scheduler=None):
|
||||
"""Submit workflow to ComfyUI and wait for result.
|
||||
|
||||
Optional overrides — when provided, replace the workflow's defaults.
|
||||
The workflow template at editorial_hero.json was tuned for product
|
||||
hero shots with a "no humans" negative prompt; portrait callers MUST
|
||||
pass `negative_prompt` to avoid the model fighting them on faces.
|
||||
"""
|
||||
# Load workflow template
|
||||
with open(WORKFLOW_PATH) as f:
|
||||
workflow = json.load(f)
|
||||
@ -57,9 +64,21 @@ def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None):
|
||||
seed = random.randint(0, 2**32)
|
||||
workflow["3"]["inputs"]["seed"] = seed
|
||||
workflow["3"]["inputs"]["steps"] = steps
|
||||
if cfg is not None:
|
||||
workflow["3"]["inputs"]["cfg"] = cfg
|
||||
if sampler:
|
||||
workflow["3"]["inputs"]["sampler_name"] = sampler
|
||||
if scheduler:
|
||||
workflow["3"]["inputs"]["scheduler"] = scheduler
|
||||
workflow["5"]["inputs"]["width"] = width
|
||||
workflow["5"]["inputs"]["height"] = height
|
||||
workflow["6"]["inputs"]["text"] = prompt
|
||||
# Node 7 is the negative-prompt CLIPTextEncode. The default is tuned
|
||||
# for product hero shots and contains "human, person, face, hand,
|
||||
# fingers, realistic photo of people" — actively sabotaging any
|
||||
# portrait render. Always overwrite when negative_prompt is given.
|
||||
if negative_prompt is not None:
|
||||
workflow["7"]["inputs"]["text"] = negative_prompt
|
||||
|
||||
# Submit to ComfyUI
|
||||
payload = json.dumps({"prompt": workflow}).encode()
|
||||
@ -183,10 +202,20 @@ class ImageHandler(BaseHTTPRequestHandler):
|
||||
height = min(max(int(body.get("height", 720)), 256), 1080)
|
||||
steps = min(max(int(body.get("steps", 50)), 1), 80)
|
||||
seed = body.get("seed")
|
||||
# Portrait-friendly overrides — None means "use workflow default".
|
||||
# negative_prompt MUST be passed by portrait callers to avoid
|
||||
# the workflow's "no humans" baked-in negative.
|
||||
negative_prompt = body.get("negative_prompt")
|
||||
cfg = body.get("cfg")
|
||||
sampler = body.get("sampler")
|
||||
scheduler = body.get("scheduler")
|
||||
|
||||
# Cache check — seed is part of the key so per-worker requests
|
||||
# don't collapse to a single cached portrait.
|
||||
key = _cache_key(prompt, width, height, steps, seed)
|
||||
# Cache check — seed + negative + cfg are part of the key so per-
|
||||
# worker / per-config requests don't collapse to one cached image.
|
||||
key = _cache_key(
|
||||
f"{prompt}||neg={negative_prompt or ''}||cfg={cfg or ''}",
|
||||
width, height, steps, seed,
|
||||
)
|
||||
cached = _cache_get(key)
|
||||
if cached:
|
||||
self._json(200, {"image": cached, "format": "webp", "width": width, "height": height,
|
||||
@ -199,7 +228,11 @@ class ImageHandler(BaseHTTPRequestHandler):
|
||||
try:
|
||||
comfy_check = urllib.request.urlopen(f"{COMFYUI_URL}/system_stats", timeout=3)
|
||||
if comfy_check.status == 200:
|
||||
img_bytes, seed = _comfyui_generate(prompt, width, height, steps, seed)
|
||||
img_bytes, seed = _comfyui_generate(
|
||||
prompt, width, height, steps, seed,
|
||||
negative_prompt=negative_prompt, cfg=cfg,
|
||||
sampler=sampler, scheduler=scheduler,
|
||||
)
|
||||
backend = "comfyui"
|
||||
except:
|
||||
pass
|
||||
|
||||
230
scripts/staffing/render_role_pool.py
Normal file
230
scripts/staffing/render_role_pool.py
Normal file
@ -0,0 +1,230 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
render_role_pool.py — pre-render a role-aware face pool by hitting
|
||||
serve_imagegen.py (localhost:3600/generate) with prompts pulled from
|
||||
the bun server's /headshots/_scenes endpoint (single source of truth
|
||||
for SCENES + SCENES_VERSION).
|
||||
|
||||
Layout:
|
||||
|
||||
data/headshots_role_pool/
|
||||
{band}/
|
||||
{gender}_{race}/
|
||||
face_00.webp
|
||||
face_01.webp
|
||||
...
|
||||
manifest.jsonl
|
||||
|
||||
Each entry in manifest.jsonl:
|
||||
|
||||
{"band": "warehouse", "gender": "man", "race": "caucasian",
|
||||
"file": "warehouse/man_caucasian/face_03.webp",
|
||||
"seed": 184729338, "scenes_version": "v1"}
|
||||
|
||||
Idempotent: a file at the target path is skipped. Re-run with --force
|
||||
to regenerate. SCENES_VERSION is captured per render so the server's
|
||||
pool route can refuse stale renders if the version drifts.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
import argparse
|
||||
import base64
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import time
|
||||
import urllib.request
|
||||
import urllib.error
|
||||
|
||||
DEFAULT_BANDS = ["warehouse", "production", "trades", "driver", "lead"]
|
||||
DEFAULT_GENDERS = ["man", "woman"]
|
||||
DEFAULT_RACES = ["caucasian", "east_asian", "south_asian", "middle_eastern", "black", "hispanic"]
|
||||
|
||||
|
||||
def race_text(r: str) -> str:
|
||||
return {
|
||||
"caucasian": "",
|
||||
"east_asian": "East Asian",
|
||||
"south_asian": "South Asian",
|
||||
"middle_eastern": "Middle Eastern",
|
||||
"black": "Black",
|
||||
"hispanic": "Hispanic",
|
||||
}.get(r, "")
|
||||
|
||||
|
||||
def fetch_scenes(mcp_url: str) -> tuple[str, dict]:
|
||||
"""Pull canonical SCENES from the bun server. Single source of truth."""
|
||||
req = urllib.request.Request(f"{mcp_url}/headshots/_scenes")
|
||||
with urllib.request.urlopen(req, timeout=10) as resp:
|
||||
data = json.loads(resp.read())
|
||||
return data["version"], data["scenes"]
|
||||
|
||||
|
||||
def render(comfy_url: str, prompt: str, seed: int, steps: int, timeout: int, dim: int) -> bytes | None:
|
||||
payload = json.dumps({
|
||||
"prompt": prompt,
|
||||
"width": dim,
|
||||
"height": dim,
|
||||
"steps": steps,
|
||||
"seed": seed,
|
||||
}).encode()
|
||||
req = urllib.request.Request(
|
||||
f"{comfy_url}/generate",
|
||||
data=payload,
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
||||
data = json.loads(resp.read())
|
||||
except urllib.error.HTTPError as e:
|
||||
print(f" HTTP {e.code} from comfy: {e.read()[:200]}", file=sys.stderr)
|
||||
return None
|
||||
except Exception as e:
|
||||
print(f" comfy error: {type(e).__name__}: {e}", file=sys.stderr)
|
||||
return None
|
||||
img_b64 = data.get("image")
|
||||
if not img_b64:
|
||||
print(f" comfy response missing 'image' field: {list(data.keys())}", file=sys.stderr)
|
||||
return None
|
||||
return base64.b64decode(img_b64)
|
||||
|
||||
|
||||
def main():
|
||||
p = argparse.ArgumentParser()
|
||||
p.add_argument("--out", default=os.path.join(os.path.dirname(__file__), "..", "..", "data", "headshots_role_pool"))
|
||||
p.add_argument("--per-bucket", type=int, default=10, help="how many faces per (band × gender × race)")
|
||||
p.add_argument("--mcp", default="http://localhost:3700")
|
||||
p.add_argument("--comfy", default="http://localhost:3600")
|
||||
p.add_argument("--steps", type=int, default=8)
|
||||
p.add_argument("--bands", nargs="*", default=DEFAULT_BANDS)
|
||||
p.add_argument("--genders", nargs="*", default=DEFAULT_GENDERS)
|
||||
p.add_argument("--races", nargs="*", default=DEFAULT_RACES)
|
||||
p.add_argument("--force", action="store_true", help="regenerate existing files")
|
||||
p.add_argument("--age", type=int, default=32)
|
||||
p.add_argument("--timeout", type=int, default=120, help="per-render timeout (1024² takes ~5s on A4000)")
|
||||
p.add_argument("--dim", type=int, default=1024, help="square render dimension (v2 default 1024, v1 was 512)")
|
||||
args = p.parse_args()
|
||||
|
||||
out_root = os.path.realpath(args.out)
|
||||
os.makedirs(out_root, exist_ok=True)
|
||||
|
||||
print(f"Fetching canonical SCENES from {args.mcp}/headshots/_scenes…")
|
||||
try:
|
||||
version, scenes = fetch_scenes(args.mcp)
|
||||
except Exception as e:
|
||||
print(f"FATAL: could not fetch scenes ({e}). Is the mcp-server up?", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
print(f" SCENES_VERSION={version}, {len(scenes)} bands available: {list(scenes.keys())}")
|
||||
|
||||
# v2+ files live at {out}/{version}/{band}/{g}_{r}/face_NN.webp.
|
||||
# v1 lived at {out}/{band}/... — keep that layout intact for
|
||||
# rollback; the server route reads both and prefers current.
|
||||
out = out_root if version == "v1" else os.path.join(out_root, version)
|
||||
os.makedirs(out, exist_ok=True)
|
||||
print(f" writing to: {out}")
|
||||
print(f" render dim: {args.dim}×{args.dim}")
|
||||
|
||||
# Reject any --bands not in the server's SCENES
|
||||
unknown = [b for b in args.bands if b not in scenes]
|
||||
if unknown:
|
||||
print(f"FATAL: unknown bands {unknown}. Server has: {list(scenes.keys())}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
manifest_rows = []
|
||||
todo = [
|
||||
(band, g, r, n)
|
||||
for band in args.bands
|
||||
for g in args.genders
|
||||
for r in args.races
|
||||
for n in range(args.per_bucket)
|
||||
]
|
||||
print(f"\nPlanning: {len(todo)} renders ({len(args.bands)} bands × {len(args.genders)} genders × {len(args.races)} races × {args.per_bucket} faces).")
|
||||
print(f"Estimated GPU time at 1.5s/render = {len(todo) * 1.5 / 60:.1f} min.\n")
|
||||
|
||||
t0 = time.time()
|
||||
rendered = 0
|
||||
skipped = 0
|
||||
failed = 0
|
||||
for i, (band, g, r, n) in enumerate(todo):
|
||||
bucket_dir = os.path.join(out, band, f"{g}_{r}")
|
||||
os.makedirs(bucket_dir, exist_ok=True)
|
||||
fname = f"face_{n:02d}.webp"
|
||||
full = os.path.join(bucket_dir, fname)
|
||||
rel = os.path.relpath(full, out)
|
||||
|
||||
if os.path.exists(full) and os.path.getsize(full) > 1024 and not args.force:
|
||||
skipped += 1
|
||||
manifest_rows.append({
|
||||
"band": band, "gender": g, "race": r, "file": rel,
|
||||
"seed": None, "scenes_version": version, "cached": True,
|
||||
})
|
||||
continue
|
||||
|
||||
scene_def = scenes[band]
|
||||
scene_clause = scene_def["scene"]
|
||||
race_clause = race_text(r)
|
||||
gender_clause = g # "man" / "woman"
|
||||
# Match the bun server's prompt builder exactly. If you tweak
|
||||
# one, tweak the other (or factor a /prompt-builder endpoint).
|
||||
# The {role} slot is intentionally a band-typical title here
|
||||
# — the pre-rendered face is shared across roles in the same
|
||||
# band, so we use the band's archetypal role. Specific roles
|
||||
# still hit the on-demand /headshots/generate/:key path with
|
||||
# their actual title.
|
||||
archetype_role = {
|
||||
"warehouse": "warehouse worker",
|
||||
"production": "production worker",
|
||||
"trades": "skilled tradesperson",
|
||||
"driver": "delivery driver",
|
||||
"lead": "shift supervisor",
|
||||
}.get(band, "warehouse worker")
|
||||
prompt = (
|
||||
f"professional headshot portrait of a {args.age}-year-old "
|
||||
f"{race_clause} {gender_clause} {archetype_role}, {scene_clause}, "
|
||||
f"neutral confident expression, sharp focus, photorealistic"
|
||||
)
|
||||
|
||||
# Deterministic seed per slot — same (band, g, r, n) always
|
||||
# gets the same face. Mixing scenes_version means a SCENES
|
||||
# tweak shifts every face slightly; that's the right behavior
|
||||
# (it's how cache invalidation propagates to the pool too).
|
||||
seed_str = f"{band}|{g}|{r}|{n}|{version}"
|
||||
seed_h = 5381
|
||||
for ch in seed_str:
|
||||
seed_h = ((seed_h << 5) + seed_h + ord(ch)) & 0x7fffffff
|
||||
seed = seed_h
|
||||
|
||||
bytes_ = render(args.comfy, prompt, seed, args.steps, args.timeout, args.dim)
|
||||
if bytes_ is None:
|
||||
failed += 1
|
||||
continue
|
||||
with open(full, "wb") as f:
|
||||
f.write(bytes_)
|
||||
rendered += 1
|
||||
manifest_rows.append({
|
||||
"band": band, "gender": g, "race": r, "file": rel,
|
||||
"seed": seed, "scenes_version": version, "cached": False,
|
||||
})
|
||||
|
||||
if (i + 1) % 10 == 0 or (i + 1) == len(todo):
|
||||
elapsed = time.time() - t0
|
||||
done = i + 1
|
||||
rate = done / elapsed if elapsed > 0 else 0
|
||||
eta = (len(todo) - done) / rate if rate > 0 else 0
|
||||
print(f" [{done}/{len(todo)}] rendered={rendered} skipped={skipped} failed={failed} "
|
||||
f"rate={rate:.2f}/s eta={eta:.0f}s")
|
||||
|
||||
# Atomic manifest write
|
||||
manifest_path = os.path.join(out, "manifest.jsonl")
|
||||
tmp = manifest_path + ".tmp"
|
||||
with open(tmp, "w") as f:
|
||||
for row in manifest_rows:
|
||||
f.write(json.dumps(row) + "\n")
|
||||
os.replace(tmp, manifest_path)
|
||||
|
||||
print(f"\nDone. {rendered} new, {skipped} cached, {failed} failed in {time.time()-t0:.1f}s")
|
||||
print(f"Manifest: {manifest_path} ({len(manifest_rows)} entries)")
|
||||
print(f"\nNext: poke {args.mcp}/headshots/__reload to pick up the new pool.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Loading…
x
Reference in New Issue
Block a user