feat(tech-steps): detecte les temperatures dans les etapes

3e type de metadonnee de clause, a cote des ingredients et des ustensiles :
temperature en °C (« 180°C », « 200 degres », °F converti), numero de
thermostat (« th. 6 ») et intensite qualitative (« feu doux/moyen/vif » ->
low/medium/high).

services/tech-step-intent-service :
- `temperature_extraction.py` : `extract_temperatures(text, locale)` pur,
  a base de regex (independant du modele spaCy et de l'entrainement).
- `ProcessResult` / `ProcessResponse` gagnent `temperatures` (ajout additif
  au contrat ; cle `gas_mark` en snake_case sur le fil). `process()` les
  extrait meme pour une locale pas encore entrainee.
- Tests `test_temperature_extraction.py` (10) ; `test_routes_process.py` :
  2 assertions d'egalite stricte gagnent `"temperatures": []`, +1 cas.

apps/api :
- `IntentServiceTemperature` (mappe `gas_mark` -> `gasMark` a la frontiere).
- `TechStepMatch.temperatures` : filtrees par appartenance de span a la
  clause, meme regle que les ustensiles.
- `model StepTechStepTemperature` (aucune FK — la valeur structuree EST la
  donnee) + migration manuelle `20260829120000_step_tech_step_temperature`
  (cascade via le TRUNCATE de `step_tech_step`, rien a ajouter a
  reset-db.ts). Persistance + lecture dans `recipe.service.ts`
  (`recipeInclude`, `toStepTechStepViews`) et l'include de sequence fraiche
  du service de correction ; `sources.service.ts` (apercu d'import) les
  fait transiter.

packages/shared : `StepTechStepTemperatureView` + `temperatures` sur
`StepTechStepView`.

apps/web :
- `splitDescriptionSegments` enrobe `splitDescriptionByTechSteps` et
  redecoupe les segments non-keyword autour des spans de temperature (la
  logique technique intriquee reste intacte). `?? []` tolere une payload
  d'avant `temperatures`.
- `StepDescription` : surlignage `.step-temperature` + Tooltip via
  `temperatureLabel` ; i18n `recipes.temperature.*`.
- Tests composants +4 (22 verts) ; pas d'UI de correction (v1, comme les
  ustensiles).

Verifie : biome + tsc + `pnpm -r build` ; web 102/103 e2e (l'echec est le
flake pre-existant recipe-form.feature, sans rapport) + 49/49 composants ;
pytest temperature + routes 15/15. `pnpm --filter api test` (Postgres +
intent-service requis) non lance ici.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

apps/api/prisma/migrations/20260829120000_step_tech_step_temperature/migration.sql

@@ -0,0 +1,22 @@
+-- CreateTable: temperatures mentioned in the same clause as a detected
+-- technique — regex-extracted (services/tech-step-intent-service), no
+-- foreign key of its own (the structured value is the data). Same
+-- composite FK + ON DELETE CASCADE shape as step_tech_step_ingredient /
+-- step_tech_step_utensil (see 20260826121000_step_tech_step_metadata).
+CREATE TABLE "step_tech_step_temperature" (
+    "id" SERIAL NOT NULL,
+    "step_id" INTEGER NOT NULL,
+    "tech_step_order" INTEGER NOT NULL,
+    "start" INTEGER NOT NULL,
+    "end" INTEGER NOT NULL,
+    "celsius" DECIMAL(6,2),
+    "gas_mark" INTEGER,
+    "qualitative" TEXT,
+    "raw" TEXT NOT NULL,
+    "source" TEXT NOT NULL DEFAULT 'auto',
+
+    CONSTRAINT "step_tech_step_temperature_pkey" PRIMARY KEY ("id")
+);
+
+-- AddForeignKey
+ALTER TABLE "step_tech_step_temperature" ADD CONSTRAINT "step_tech_step_temperature_step_id_tech_step_order_fkey" FOREIGN KEY ("step_id", "tech_step_order") REFERENCES "step_tech_step"("step_id", "order") ON DELETE CASCADE ON UPDATE CASCADE;

apps/api/prisma/schema.prisma

@@ -810,6 +810,9 @@ model StepTechStep {
   /// Utensils mentioned in the same clause as this technique occurrence —
   /// see `StepTechStepUtensil`.
   utensils    StepTechStepUtensil[]
+  /// Temperatures mentioned in the same clause as this technique occurrence
+  /// — see `StepTechStepTemperature`.
+  temperatures StepTechStepTemperature[]
 
   @@id([stepId, order])
   @@map("step_tech_step")
@@ -868,6 +871,38 @@ model StepTechStepUtensil {
   @@map("step_tech_step_utensil")
 }
 
+/// A temperature mention found in the same *clause* as one `StepTechStep`
+/// occurrence — same association rule as `StepTechStepIngredient` /
+/// `StepTechStepUtensil` (see their doc comments). Detected by
+/// `services/tech-step-intent-service`'s regex pass (`temperature_extraction.py`),
+/// not a `PhraseMatcher` — a temperature is numeric/pattern, not a word from
+/// a finite vocabulary. Carries no foreign key: the structured value *is*
+/// the data. At least one of `celsius` / `gasMark` / `qualitative` is
+/// non-null:
+///   - `celsius`     — an oven/pan temperature in °C (a °F mention is
+///                     converted + rounded upstream).
+///   - `gasMark`     — a gas-mark / thermostat number ("th. 6").
+///   - `qualitative` — "low" | "medium" | "high" ("feu doux/moyen/vif").
+/// `raw` is the exact recognized fragment, `start`/`end` its span in
+/// `Step.description` ([start, end), same as `StepTechStep.start`/`end`).
+/// `source` mirrors the others (`"auto"` only today — no correction UI).
+model StepTechStepTemperature {
+  id            Int      @id @default(autoincrement())
+  stepId        Int      @map("step_id")
+  techStepOrder Int      @map("tech_step_order")
+  start         Int
+  end           Int
+  celsius       Decimal? @db.Decimal(6, 2)
+  gasMark       Int?     @map("gas_mark")
+  qualitative   String?
+  raw           String
+  source        String   @default("auto")
+
+  stepTechStep StepTechStep @relation(fields: [stepId, techStepOrder], references: [stepId, order], onDelete: Cascade)
+
+  @@map("step_tech_step_temperature")
+}
+
 /// One user-submitted correction to a `Step`'s detected techniques —
 /// captures ADD (a missing technique the classifier didn't find),
 /// REMOVE (a wrong technique it did), or RELABEL (both) as a single shape:

apps/api/src/lib/recipe-matching/intent-service-client.ts

@@ -25,11 +25,28 @@ export interface IntentServiceEntity {
   kind: "technique" | "utensil";
 }
 
-/** The full result of a `POST /v1/process` call — mirrors `ProcessResponse` (Python `schemas.py`). `intent` is `null` only when `locale` isn't one this service trains for, or `text` is blank; otherwise always a real `uid` (the Python service's `textcat` has no "None" sentinel, unlike node-nlp — see that service's README). */
+/**
+ * A temperature the service recognized in the text — mirrors
+ * `TemperaturePayload` (Python `schemas.py`), `gas_mark` camelCased to
+ * `gasMark`. A separate list from {@link IntentServiceEntity} (not another
+ * `kind`) because it carries structured fields that don't fit an entity's
+ * `uid`. At least one of `celsius` / `gasMark` / `qualitative` is non-null.
+ */
+export interface IntentServiceTemperature {
+  start: number;
+  end: number;
+  celsius: number | null;
+  gasMark: number | null;
+  qualitative: "low" | "medium" | "high" | null;
+  raw: string;
+}
+
+/** The full result of a `POST /v1/process` call — mirrors `ProcessResponse` (Python `schemas.py`). `intent` is `null` only when `locale` isn't one this service trains for, or `text` is blank; otherwise always a real `uid` (the Python service's `textcat` has no "None" sentinel, unlike node-nlp — see that service's README). `temperatures` is regex-extracted and independent of the model/training (empty when none, not omitted). */
 export interface IntentServiceProcessResult {
   entities: IntentServiceEntity[];
   intent: string | null;
   score: number;
+  temperatures: IntentServiceTemperature[];
 }
 
 /**
@@ -88,10 +105,26 @@ export class IntentServiceClient {
    */
   public async process(locale: string, text: string): Promise<IntentServiceProcessResult> {
     try {
-      return await this._request("/v1/process", {
+      // The wire shape uses `gas_mark` (Python field name); everything else
+      // is already camelCase / single-word. Map that one key at the
+      // boundary so the rest of `apps/api` only ever sees `gasMark`.
+      const wire = await this._request<
+        Omit<IntentServiceProcessResult, "temperatures"> & {
+          temperatures: (Omit<IntentServiceTemperature, "gasMark"> & { gas_mark: number | null })[];
+        }
+      >("/v1/process", {
         method: "POST",
         body: JSON.stringify({ locale, text }),
       });
+      return {
+        entities: wire.entities,
+        intent: wire.intent,
+        score: wire.score,
+        temperatures: (wire.temperatures ?? []).map(({ gas_mark, ...rest }) => ({
+          ...rest,
+          gasMark: gas_mark,
+        })),
+      };
     } catch (err) {
       throw err;
     }

apps/api/src/lib/recipe-matching/tech-step-matcher.ts

@@ -5,7 +5,7 @@ import {
   loadIngredientCatalog,
   loadUnitCatalog,
 } from "./ingredient-matcher.js";
-import { intentServiceClient } from "./intent-service-client.js";
+import { type IntentServiceTemperature, intentServiceClient } from "./intent-service-client.js";
 
 /**
  * Auto-detects which cooking techniques (`TechStep`) a free-text recipe
@@ -114,6 +114,7 @@ export interface TechStepMatch {
   contextEnd: number;
   ingredients: IngredientMention[];
   utensils: UtensilMention[];
+  temperatures: TemperatureMention[];
 }
 
 /**
@@ -129,6 +130,15 @@ export interface UtensilMention {
   end: number;
 }
 
+/**
+ * A temperature the intent service's regex pass found (`temperatures` in
+ * `IntentServiceProcessResult`), attributed to whichever clause its span
+ * falls inside — same rule as {@link UtensilMention}. No DB id to resolve
+ * (unlike a technique/ingredient/utensil): the structured value *is* the
+ * data. Persisted verbatim as a `StepTechStepTemperature` row.
+ */
+export type TemperatureMention = IntentServiceTemperature;
+
 /** A candidate technique mention found by NER — the raw material {@link splitIntoClauses} cuts a description around. */
 export interface TechniqueCandidate {
   /** Training-data `uid` this candidate's synonym belongs to (e.g. `"melt"`) — not yet resolved to a DB id at this stage. */
@@ -408,6 +418,7 @@ export class TechStepClassifierService {
         .filter((entity) => entity.kind === "technique")
         .map((entity) => ({ uid: entity.uid, start: entity.start, end: entity.end }));
       const utensilEntities = nerResult.entities.filter((entity) => entity.kind === "utensil");
+      const temperatureMentions = nerResult.temperatures;
 
       const clauses = splitIntoClauses(description, candidates);
       const matches: TechStepMatch[] = [];
@@ -442,6 +453,12 @@ export class TechStepClassifierService {
             : [{ utensilId, start: entity.start, end: entity.end }];
         });
 
+        // Temperatures carry no id to resolve — kept as-is, just attributed
+        // to the clause whose span contains them (same rule as utensils).
+        const temperatures: TemperatureMention[] = temperatureMentions.filter(
+          (temp) => temp.start >= clause.start && temp.end <= clause.end,
+        );
+
         matches.push({
           techStepId,
           start: span.start,
@@ -450,6 +467,7 @@ export class TechStepClassifierService {
           contextEnd: clause.end,
           ingredients,
           utensils,
+          temperatures,
         });
       }
 

apps/api/src/modules/recipe/recipe-tech-step-correction.service.ts

@@ -446,10 +446,11 @@ export async function submitTechStepCorrection(
             },
       );
 
-      // Same nested `ingredients`/`utensils` include as `recipe.service.ts`'s
+      // Same nested `ingredients`/`utensils`/`temperatures` include as
-      // `recipeInclude` — `toStepTechStepViews` (reused below) expects it,
+      // `recipe.service.ts`'s `recipeInclude` — `toStepTechStepViews`
-      // so the fresh sequence read right after a manual correction resolves
+      // (reused below) expects it, so the fresh sequence read right after a
-      // exactly the same way a normal `GET /recipes/:id` would.
+      // manual correction resolves exactly the same way a normal
+      // `GET /recipes/:id` would.
       const freshTechSteps = await tx.stepTechStep.findMany({
         where: { stepId: step.id },
         orderBy: { order: "asc" },
@@ -467,6 +468,7 @@ export async function submitTechStepCorrection(
             },
           },
           utensils: { include: { utensil: true } },
+          temperatures: true,
         },
       });
 

apps/api/src/modules/recipe/recipe.service.ts

@@ -68,6 +68,7 @@ function recipeInclude(viewerId: number) {
               },
             },
             utensils: { include: { utensil: true } },
+            temperatures: true,
           },
         },
       },
@@ -175,8 +176,17 @@ export function toStepTechStepViews(
 ): StepTechStepView[] {
   const views: StepTechStepView[] = [];
   for (const stepTechStep of techSteps) {
-    const { start, end, contextStart, contextEnd, techStep, source, ingredients, utensils } =
+    const {
-      stepTechStep;
+      start,
+      end,
+      contextStart,
+      contextEnd,
+      techStep,
+      source,
+      ingredients,
+      utensils,
+      temperatures,
+    } = stepTechStep;
     if (start === null || end === null) continue;
     views.push({
       techStep: { id: techStep.id, key: techStep.key },
@@ -206,6 +216,24 @@ export function toStepTechStepViews(
         end: stepTechStepUtensil.end,
         source: stepTechStepUtensil.source === "manual" ? "manual" : "auto",
       })),
+      temperatures: temperatures.map((stepTechStepTemperature) => ({
+        // `celsius` comes back as a Prisma `Decimal` — plain `number` here,
+        // same treatment as `StepTechStepIngredient.quantity` above.
+        celsius:
+          stepTechStepTemperature.celsius === null ? null : Number(stepTechStepTemperature.celsius),
+        gasMark: stepTechStepTemperature.gasMark,
+        qualitative:
+          stepTechStepTemperature.qualitative === "low" ||
+          stepTechStepTemperature.qualitative === "medium" ||
+          stepTechStepTemperature.qualitative === "high"
+            ? stepTechStepTemperature.qualitative
+            : null,
+        raw: stepTechStepTemperature.raw,
+        start: stepTechStepTemperature.start,
+        end: stepTechStepTemperature.end,
+        // Same narrowing posture as the technique's own `source` above.
+        source: stepTechStepTemperature.source === "manual" ? "manual" : "auto",
+      })),
     });
   }
   return views;
@@ -690,6 +718,16 @@ async function createRecipeInternal(
                       end: utensil.end,
                     })),
                   },
+                  temperatures: {
+                    create: match.temperatures.map((temperature) => ({
+                      start: temperature.start,
+                      end: temperature.end,
+                      celsius: temperature.celsius,
+                      gasMark: temperature.gasMark,
+                      qualitative: temperature.qualitative,
+                      raw: temperature.raw,
+                    })),
+                  },
                 })),
               },
             })),

apps/api/src/modules/sources/sources.service.ts

@@ -260,6 +260,12 @@ export async function previewSourceItem(
                     ? [{ utensil, start: mention.start, end: mention.end, source: "auto" as const }]
                     : [];
                 }),
+                // Regex-extracted, no id to resolve — carried through as-is
+                // (same `source: "auto"` reasoning as this match above).
+                temperatures: match.temperatures.map((mention) => ({
+                  ...mention,
+                  source: "auto" as const,
+                })),
               },
             ]
           : [];

apps/api/test/recipe.test.ts

@@ -404,6 +404,42 @@ describe("Recipes", () => {
       expect(description.slice(start, end).toLowerCase()).to.equal("mijoter");
     });
 
+    it("extracts a step's temperature mentions and exposes them on the technique clause", async () => {
+      const { agent } = await signup();
+      const tomate = await ingredientId("tomato");
+      const piece = await unitId("piece");
+      const description = "Enfourner à 180°C puis finir à feu doux";
+
+      const res = await agent.post("/recipes").send({
+        name: "Gratin",
+        portions: 4,
+        dietIds: [],
+        ingredients: [{ ingredientId: tomate, quantity: 1, unitId: piece }],
+        steps: [{ description }],
+      });
+
+      expect(res.status).to.equal(201);
+      const temperatures = res.body.steps[0].techSteps.flatMap(
+        (techStep: { temperatures: unknown[] }) => techStep.temperatures,
+      );
+      // "180°C" -> a celsius value; "feu doux" -> qualitative "low".
+      const celsius = temperatures.find(
+        (temperature: { celsius: number | null }) => temperature.celsius !== null,
+      );
+      expect(celsius).to.include({
+        celsius: 180,
+        gasMark: null,
+        qualitative: null,
+        source: "auto",
+      });
+      expect(description.slice(celsius.start, celsius.end)).to.equal("180°C");
+      expect(
+        temperatures.some(
+          (temperature: { qualitative: string | null }) => temperature.qualitative === "low",
+        ),
+      ).to.equal(true);
+    });
+
     it("leaves a step's technique sequence empty when its description matches no known technique", async () => {
       const { agent } = await signup();
       const tomate = await ingredientId("tomato");

apps/web/cypress/component/highlight-tech-steps.cy.tsx

@@ -1,5 +1,8 @@
-import type { StepTechStepView } from "@batch-cooking/shared";
+import type { StepTechStepTemperatureView, StepTechStepView } from "@batch-cooking/shared";
-import { splitDescriptionByTechSteps } from "../../src/features/recipes/steps/highlight-tech-steps";
+import {
+  splitDescriptionByTechSteps,
+  splitDescriptionSegments,
+} from "../../src/features/recipes/steps/highlight-tech-steps";
 
 // Pure logic, no DOM/mount needed — reuses the component-test runner
 // (Cypress's Mocha/Chai, same as CheckboxOption.cy.tsx) purely for its
@@ -248,3 +251,82 @@ describe("splitDescriptionByTechSteps", () => {
     });
   });
 });
+
+/** Builds a `StepTechStepTemperatureView` — only the fields a test cares about, the rest nulled. */
+function temperature(
+  start: number,
+  end: number,
+  fields: Partial<StepTechStepTemperatureView> = {},
+): StepTechStepTemperatureView {
+  return {
+    start,
+    end,
+    celsius: null,
+    gasMark: null,
+    qualitative: null,
+    raw: "",
+    source: "auto",
+    ...fields,
+  };
+}
+
+describe("splitDescriptionSegments", () => {
+  it("adds temperature: null to every segment when there are no temperatures", () => {
+    const result = splitDescriptionSegments("Hacher les oignons", [techStep("chop", 1, 0, 6)], []);
+    expect(result).to.deep.equal([
+      {
+        text: "Hacher",
+        techStep: { id: 1, key: "chop" },
+        isKeyword: true,
+        source: "auto",
+        temperature: null,
+      },
+      { text: " les oignons", techStep: null, isKeyword: false, source: null, temperature: null },
+    ]);
+  });
+
+  it("splits a plain run around a temperature mention, keeping the technique keyword untouched", () => {
+    const text = "Enfourner à 180°C environ 30 min";
+    const temp = temperature(12, 17, { celsius: 180, raw: "180°C" });
+    const result = splitDescriptionSegments(text, [techStep("bake", 2, 0, 9)], [temp]);
+    expect(result).to.deep.equal([
+      {
+        text: "Enfourner",
+        techStep: { id: 2, key: "bake" },
+        isKeyword: true,
+        source: "auto",
+        temperature: null,
+      },
+      { text: " à ", techStep: null, isKeyword: false, source: null, temperature: null },
+      { text: "180°C", techStep: null, isKeyword: false, source: null, temperature: temp },
+      {
+        text: " environ 30 min",
+        techStep: null,
+        isKeyword: false,
+        source: null,
+        temperature: null,
+      },
+    ]);
+  });
+
+  it("splits around two temperatures in one description", () => {
+    const text = "Saisir à feu vif puis 180°C";
+    const vif = temperature(9, 16, { qualitative: "high", raw: "feu vif" });
+    const celsius = temperature(22, 27, { celsius: 180, raw: "180°C" });
+    const result = splitDescriptionSegments(text, [], [vif, celsius]);
+    expect(result.filter((segment) => segment.temperature !== null)).to.deep.equal([
+      { text: "feu vif", techStep: null, isKeyword: false, source: null, temperature: vif },
+      { text: "180°C", techStep: null, isKeyword: false, source: null, temperature: celsius },
+    ]);
+  });
+
+  it("skips a temperature span that isn't fully inside a single non-keyword run", () => {
+    // Span straddles the keyword — dropped rather than producing a garbled slice.
+    const result = splitDescriptionSegments(
+      "Cuire au four",
+      [techStep("bake", 1, 0, 5)],
+      [temperature(3, 10)],
+    );
+    expect(result.some((segment) => segment.temperature !== null)).to.equal(false);
+  });
+});

apps/web/src/features/recipes/recipes.scss

@@ -696,6 +696,34 @@
   }
 }
 
+// A detected temperature mention ("180 °C", "th. 6", "feu doux") — same
+// inline "highlighted reading text" language as `.step-tech-step`, but in
+// `--color-accent` (Vermillion, the "heat" accent) rather than
+// `--color-primary`, so a temperature reads as its own kind of metadata at
+// a glance. `--low`/`--medium`/`--high` only vary the underline weight —
+// the qualitative scale is a nuance, not three different colors.
+.step-temperature {
+  padding: 0 0.15em;
+  background: color-mix(in srgb, var(--color-accent) 12%, transparent);
+  border-radius: 0.2em;
+  text-decoration: underline dotted var(--color-accent);
+  text-decoration-thickness: 1px;
+  text-underline-offset: 0.15em;
+  cursor: help;
+
+  &:hover {
+    background: color-mix(in srgb, var(--color-accent) 22%, transparent);
+  }
+
+  &--high {
+    text-decoration-thickness: 2px;
+  }
+
+  &--low {
+    text-decoration-style: dashed;
+  }
+}
+
 // `.step-tech-step-context` (the wider clause a `.step-tech-step` keyword
 // was found in) used to be highlighted here too, more subtly — turned back
 // off (see `StepDescription.tsx`'s doc comment): the backend still

apps/web/src/features/recipes/steps/StepDescription.tsx

@@ -1,11 +1,38 @@
-import type { StepTechStepView, SubmitTechStepCorrectionResult } from "@batch-cooking/shared";
+import type {
+  StepTechStepTemperatureView,
+  StepTechStepView,
+  SubmitTechStepCorrectionResult,
+} from "@batch-cooking/shared";
 import { Fragment, useEffect, useRef, useState } from "react";
 import { useTranslation } from "react-i18next";
 import { Tooltip } from "../../../components/ui/Tooltip";
-import { splitDescriptionByTechSteps } from "./highlight-tech-steps";
+import { splitDescriptionSegments } from "./highlight-tech-steps";
 import { TechStepCorrectionPopover } from "./TechStepCorrectionPopover";
 import { type TextSelectionRange, useTextSelection } from "./use-text-selection";
 
+/**
+ * Human label for a detected temperature — the °C value, else the gas-mark
+ * number, else the qualitative level, each via i18n. Shown in the
+ * highlight's Tooltip (`raw` is what stays inline as the highlighted text).
+ * `t` is passed in (see `ingredient-label.ts` for the same "plain function,
+ * unit-testable" split).
+ */
+function temperatureLabel(
+  temperature: StepTechStepTemperatureView,
+  t: (key: string, options?: Record<string, unknown>) => string,
+): string {
+  if (temperature.celsius !== null) {
+    return t("recipes.temperature.celsius", { value: temperature.celsius });
+  }
+  if (temperature.gasMark !== null) {
+    return t("recipes.temperature.gasMark", { value: temperature.gasMark });
+  }
+  if (temperature.qualitative !== null) {
+    return t(`recipes.temperature.qualitative.${temperature.qualitative}`);
+  }
+  return temperature.raw;
+}
+
 /**
  * A recipe step's description, with every detected technique's exact
  * matched words highlighted and given a {@link Tooltip} naming the
@@ -66,7 +93,19 @@ export function StepDescription({
   const [liveTechSteps, setLiveTechSteps] = useState(techSteps);
   useEffect(() => setLiveTechSteps(techSteps), [techSteps]);
 
-  const segments = splitDescriptionByTechSteps(description, liveTechSteps);
+  // Temperatures are attached per technique-clause server-side; for the
+  // read-only highlight we only care *where* in the description they are,
+  // so flatten them across every entry (deduped by span). `?? []` guards a
+  // pre-`temperatures` payload the same way this component already tolerates
+  // a match with no `contextStart`/`contextEnd`.
+  const temperatures = Array.from(
+    new Map(
+      liveTechSteps
+        .flatMap((techStep) => techStep.temperatures ?? [])
+        .map((temperature) => [`${temperature.start}:${temperature.end}`, temperature]),
+    ).values(),
+  );
+  const segments = splitDescriptionSegments(description, liveTechSteps, temperatures);
   const containerRef = useRef<HTMLParagraphElement>(null);
   const { getSelectionRange } = useTextSelection(containerRef);
 
@@ -169,6 +208,26 @@ export function StepDescription({
           // here.
           const key = `${index}-${segment.text}`;
 
+          if (segment.temperature) {
+            // A detected temperature mention ("180°C", "feu doux") — its
+            // own subtle highlight + a Tooltip with the normalized value.
+            // Not correctable (no popover), same as utensils; still gets a
+            // `data-offset` in editable mode so a text selection spanning
+            // it resolves correctly.
+            const label = temperatureLabel(segment.temperature, t);
+            const modifier = segment.temperature.qualitative ?? "value";
+            return (
+              <Tooltip key={key} content={label}>
+                <span
+                  className={`step-temperature step-temperature--${modifier}`}
+                  data-offset={editable ? start : undefined}
+                >
+                  {segment.text}
+                </span>
+              </Tooltip>
+            );
+          }
+
           if (!segment.techStep || !segment.isKeyword) {
             // Context-only or plain run — rendered as plain text in
             // read-only mode, same as before this component supported

apps/web/src/features/recipes/steps/highlight-tech-steps.ts

@@ -1,4 +1,4 @@
-import type { StepTechStepView } from "@batch-cooking/shared";
+import type { StepTechStepTemperatureView, StepTechStepView } from "@batch-cooking/shared";
 
 /**
  * One run of a step's `description` — either plain text, or part of a
@@ -20,6 +20,15 @@ export interface DescriptionSegment {
   isKeyword: boolean;
   /** Mirrors the source `StepTechStepView.source` this segment came from — `null` when `techStep` is `null` (nothing to attribute a source to). See `StepDescription.tsx` for how `"auto"` vs `"manual"` render differently. */
   source: StepTechStepView["source"] | null;
+  /**
+   * Set when this run is a detected temperature mention (e.g. "180°C",
+   * "feu doux") — only ever populated by {@link splitDescriptionSegments},
+   * never by {@link splitDescriptionByTechSteps} on its own. Never set on a
+   * `isKeyword: true` segment (a temperature never falls inside a
+   * technique's own keyword span). `StepDescription.tsx` renders it with
+   * its own highlight + a Tooltip showing the normalized value.
+   */
+  temperature?: StepTechStepTemperatureView | null;
 }
 
 /**
@@ -139,3 +148,88 @@ export function splitDescriptionByTechSteps(
   }
   return segments;
 }
+
+/**
+ * {@link splitDescriptionByTechSteps} plus a second, non-destructive pass
+ * that splits every *non-keyword* run (plain text and technique-context
+ * text alike) around any detected temperature span (`StepTechStepView.temperatures`,
+ * flattened across every entry). A temperature run carries
+ * `temperature` set and `techStep: null`.
+ *
+ * Kept separate from the technique split rather than folded into it: the
+ * technique keyword/context overlap logic above is intricate and
+ * well-covered by tests, and a temperature never competes with a
+ * technique's own keyword span for the same characters ("enfourner" vs
+ * "180 °C") — so layering temperatures on top of the finished segments is
+ * both simpler and safer. Temperature spans are expected non-overlapping
+ * and in order (the service emits them that way); one whose bounds don't
+ * fall cleanly inside a single non-keyword run is skipped rather than
+ * risking a garbled slice.
+ */
+export function splitDescriptionSegments(
+  description: string,
+  techSteps: StepTechStepView[],
+  temperatures?: StepTechStepTemperatureView[],
+): DescriptionSegment[] {
+  const base = splitDescriptionByTechSteps(description, techSteps);
+  const spans = temperatures ?? [];
+  if (spans.length === 0) {
+    return base.map((segment) => ({ ...segment, temperature: null }));
+  }
+
+  const sorted = [...spans]
+    .filter((temp) => temp.start >= 0 && temp.start < temp.end && temp.end <= description.length)
+    .sort((a, b) => a.start - b.start);
+
+  const out: DescriptionSegment[] = [];
+  let offset = 0;
+  for (const segment of base) {
+    const segStart = offset;
+    const segEnd = offset + segment.text.length;
+    offset = segEnd;
+
+    // Keyword highlights and empty runs are never split.
+    if (segment.isKeyword || segment.text.length === 0) {
+      out.push({ ...segment, temperature: null });
+      continue;
+    }
+
+    const inside = sorted.filter((temp) => temp.start >= segStart && temp.end <= segEnd);
+    if (inside.length === 0) {
+      out.push({ ...segment, temperature: null });
+      continue;
+    }
+
+    let localCursor = segStart;
+    for (const temp of inside) {
+      if (temp.start < localCursor) continue; // overlapping — skip defensively
+      if (temp.start > localCursor) {
+        out.push({
+          text: description.slice(localCursor, temp.start),
+          techStep: segment.techStep,
+          isKeyword: false,
+          source: segment.source,
+          temperature: null,
+        });
+      }
+      out.push({
+        text: description.slice(temp.start, temp.end),
+        techStep: null,
+        isKeyword: false,
+        source: null,
+        temperature: temp,
+      });
+      localCursor = temp.end;
+    }
+    if (localCursor < segEnd) {
+      out.push({
+        text: description.slice(localCursor, segEnd),
+        techStep: segment.techStep,
+        isKeyword: false,
+        source: segment.source,
+        temperature: null,
+      });
+    }
+  }
+  return out;
+}

apps/web/src/locales/fr/translation.json

@@ -166,6 +166,15 @@
     "cancelDeleteButton": "Annuler",
     "ingredientsTitle": "Ingrédients",
     "stepsTitle": "Préparation",
+    "temperature": {
+      "celsius": "{{value}} °C",
+      "gasMark": "Thermostat {{value}}",
+      "qualitative": {
+        "low": "Feu doux",
+        "medium": "Feu moyen",
+        "high": "Feu vif"
+      }
+    },
     "techStepCorrection": {
       "selectionLabel": "« {{text}} »",
       "removeMatch": "Aucune technique ici",

packages/shared/src/types/recipe.ts

@@ -57,10 +57,11 @@ export interface RecipeIngredientView {
  * `applyManualCorrection`). `StepDescription.tsx` renders the two with a
  * different highlight color so a viewer can tell which is which.
  *
- * `ingredients`/`utensils` are the metadata found in this technique's own
+ * `ingredients`/`utensils`/`temperatures` are the metadata found in this
- * clause (see `tech-step-matcher.ts`'s `TechStepMatch` — same source data,
+ * technique's own clause (see `tech-step-matcher.ts`'s `TechStepMatch` —
- * just resolved to full reference views here instead of bare ids) — `[]`
+ * same source data, just resolved to full reference views here instead of
- * when nothing was mentioned alongside this technique.
+ * bare ids) — `[]` when nothing of that kind was mentioned alongside this
+ * technique.
  */
 export interface StepTechStepView {
   techStep: TechStepView;
@@ -71,6 +72,36 @@ export interface StepTechStepView {
   source: "auto" | "manual";
   ingredients: StepTechStepIngredientView[];
   utensils: StepTechStepUtensilView[];
+  temperatures: StepTechStepTemperatureView[];
+}
+
+/**
+ * A temperature mentioned in the same clause as a detected technique (see
+ * {@link StepTechStepView.temperatures}) — extracted by
+ * `services/tech-step-intent-service`'s regex pass, not a `PhraseMatcher`
+ * (a temperature is numeric/pattern, not a word from a finite vocabulary).
+ * At least one of `celsius` / `gasMark` / `qualitative` is non-null:
+ *
+ * - `celsius` — an oven/pan temperature in °C ("180 °C", "200 degrés",
+ *   "240°"). A Fahrenheit mention ("350 °F") is converted and rounded.
+ * - `gasMark` — a gas-mark / thermostat number ("th. 6", "thermostat 7").
+ * - `qualitative` — a qualitative heat level, normalized to
+ *   `"low" | "medium" | "high"` ("feu doux/moyen/vif", "high heat").
+ *
+ * `raw` is the exact recognized fragment, for display. `start`/`end` are its
+ * span in the step's `description`, same `[start, end)` convention as
+ * {@link StepTechStepView.start}. `source` mirrors
+ * {@link StepTechStepView.source} — always `"auto"` today (no correction UI
+ * for temperatures yet, same as utensils).
+ */
+export interface StepTechStepTemperatureView {
+  celsius: number | null;
+  gasMark: number | null;
+  qualitative: "low" | "medium" | "high" | null;
+  raw: string;
+  start: number;
+  end: number;
+  source: "auto" | "manual";
 }
 
 /**

services/tech-step-intent-service/intent_service/locale_pipeline.py

@@ -31,6 +31,7 @@ from spacy.training import Example
 from spacy.util import filter_spans, fix_random_seed, minibatch
 
 from . import utensil_vocabulary
+from .temperature_extraction import Temperature, extract_temperatures
 from .text_normalization import normalize_text
 
 logger = logging.getLogger(__name__)
@@ -190,6 +191,9 @@ class ProcessResult:
     entities: list[Entity]
     intent: str | None
     score: float
+    # Températures détectées dans `text` (regex, indépendantes du modèle et
+    # de l'entraînement) — voir `temperature_extraction.py`.
+    temperatures: list[Temperature] = field(default_factory=list)
 
 
 class UnsupportedLocaleError(ValueError):
@@ -415,8 +419,15 @@ class LocalePipeline:
         textcat n'a alors jamais été construit — voir son propre
         commentaire).
         """
+        # Indépendant du modèle et de l'entraînement — une regex sur le
+        # texte brut, donc extraite même pour une locale pas encore
+        # entraînée (elle ne sera juste jamais accompagnée d'entités).
+        temperatures = extract_temperatures(text, self._locale)
+
         if not self._trained or self._base_nlp is None or self._matcher is None or not text.strip():
-            return ProcessResult(entities=[], intent=None, score=0.0)
+            return ProcessResult(
+                entities=[], intent=None, score=0.0, temperatures=temperatures
+            )
 
         doc = self._base_nlp(text)
 
@@ -476,6 +487,10 @@ class LocalePipeline:
 
         cats = doc.cats
         if not cats:
-            return ProcessResult(entities=entities, intent=None, score=0.0)
+            return ProcessResult(
+                entities=entities, intent=None, score=0.0, temperatures=temperatures
+            )
         intent = max(cats, key=cats.get)
-        return ProcessResult(entities=entities, intent=intent, score=cats[intent])
+        return ProcessResult(
+            entities=entities, intent=intent, score=cats[intent], temperatures=temperatures
+        )

services/tech-step-intent-service/intent_service/routes/process.py

@@ -9,7 +9,7 @@ import logging
 from fastapi import APIRouter, Depends
 
 from ..pipeline_registry import registry
-from ..schemas import EntityPayload, ProcessRequest, ProcessResponse
+from ..schemas import EntityPayload, ProcessRequest, ProcessResponse, TemperaturePayload
 from ..security import require_valid_secret
 
 logger = logging.getLogger(__name__)
@@ -34,6 +34,16 @@ def process(request: ProcessRequest) -> ProcessResponse:
                 {"uid": entity.uid, "start": entity.start, "end": entity.end, "kind": entity.kind}
                 for entity in result.entities
             ],
+            "temperatures": [
+                {
+                    "start": temp.start,
+                    "end": temp.end,
+                    "celsius": temp.celsius,
+                    "gas_mark": temp.gas_mark,
+                    "qualitative": temp.qualitative,
+                }
+                for temp in result.temperatures
+            ],
             "intent": result.intent,
             "score": result.score,
         },
@@ -44,6 +54,17 @@ def process(request: ProcessRequest) -> ProcessResponse:
             EntityPayload(uid=entity.uid, start=entity.start, end=entity.end, kind=entity.kind)
             for entity in result.entities
         ],
+        temperatures=[
+            TemperaturePayload(
+                start=temp.start,
+                end=temp.end,
+                celsius=temp.celsius,
+                gas_mark=temp.gas_mark,
+                qualitative=temp.qualitative,
+                raw=temp.raw,
+            )
+            for temp in result.temperatures
+        ],
         intent=result.intent,
         score=result.score,
     )

services/tech-step-intent-service/intent_service/schemas.py

@@ -39,10 +39,27 @@ class EntityPayload(BaseModel):
     kind: Literal["technique", "utensil"] = "technique"
 
 
+class TemperaturePayload(BaseModel):
+    """Une température reconnue dans `text` — voir
+    `temperature_extraction.Temperature`. Ajout additif au contrat (les
+    clients plus anciens l'ignorent) : liste `temperatures` à part des
+    `entities`, car une température porte des champs structurés
+    (`celsius` / `gas_mark` / `qualitative`) qui ne rentrent pas dans le
+    `uid` d'un `EntityPayload`. Au moins un des trois est non nul."""
+
+    start: int
+    end: int
+    celsius: float | None = None
+    gas_mark: int | None = None
+    qualitative: Literal["low", "medium", "high"] | None = None
+    raw: str
+
+
 class ProcessResponse(BaseModel):
     entities: list[EntityPayload]
     intent: str | None
     score: float
+    temperatures: list[TemperaturePayload] = []
 
 
 # ---------------------------------------------------------------------------

services/tech-step-intent-service/intent_service/temperature_extraction.py

@@ -0,0 +1,161 @@
+"""Extraction des températures mentionnées dans une étape de recette — 3ᵉ
+type de métadonnée de clause, à côté des techniques et des ustensiles (voir
+`LocalePipeline.process`).
+
+Contrairement aux deux autres, ce n'est pas un `PhraseMatcher` : une
+température est numérique/motif (« 180 °C », « thermostat 6 »,
+« feu doux »), pas un mot d'un vocabulaire fini. De simples expressions
+régulières suffisent et n'ont besoin ni du modèle spaCy ni de
+l'entraînement.
+
+Trois formes, non exclusives (une clause peut n'en avoir aucune) :
+
+- `celsius` — une valeur en degrés Celsius (« 180 °C », « 180 degrés »,
+  « 180° »). Une valeur en Fahrenheit (« 350 °F », rare en FR) est
+  convertie et arrondie.
+- `gas_mark` — un numéro de thermostat / gas mark (« th. 6 »,
+  « thermostat 7 », « gas mark 4 »).
+- `qualitative` — une intensité de feu qualitative, normalisée en
+  `"low" | "medium" | "high"` (« feu doux/moyen/vif/fort »,
+  « low/medium/high heat »).
+
+Les offsets `[start, end)` suivent la même convention que `Entity`
+(`String.prototype.slice` côté `apps/api`).
+"""
+
+import re
+from dataclasses import dataclass
+
+# Intensités qualitatives -> échelle normalisée à 3 niveaux.
+_QUALITATIVE_FR: dict[str, str] = {
+    "doux": "low",
+    "moyen": "medium",
+    "moyen-vif": "medium",
+    "vif": "high",
+    "fort": "high",
+}
+_QUALITATIVE_EN: dict[str, str] = {
+    "low": "low",
+    "medium": "medium",
+    "medium-high": "medium",
+    "high": "high",
+}
+
+# `re.IGNORECASE | re.UNICODE` sur tous les motifs — le texte d'entrée n'est
+# pas normalisé ici (contrairement au `PhraseMatcher`), les accents de
+# « degrés » comptent donc, d'où `degr[ée]s?`.
+_FLAGS = re.IGNORECASE | re.UNICODE
+
+# Fahrenheit d'abord (motif plus spécifique : le `f` explicite), sinon un
+# nombre suivi d'un signe degré / « degré(s) » est lu en Celsius.
+_FAHRENHEIT_RE = re.compile(r"(\d{2,3})\s*(?:°\s*f|degr[ée]s?\s*fahrenheit|°f)\b", _FLAGS)
+_CELSIUS_RE = re.compile(
+    r"(\d{2,3})\s*(?:°\s*c\b|°(?!\s*f)|degr[ée]s?(?:\s*(?:celsius|c))?\b)",
+    _FLAGS,
+)
+_GAS_MARK_RE = re.compile(r"\b(?:th\.?|thermostat|gas\s*mark)\s*(\d{1,2})\b", _FLAGS)
+_QUALITATIVE_RE = re.compile(
+    r"\b(?:feu\s+(doux|moyen-vif|moyen|vif|fort)"
+    r"|(low|medium-high|medium|high)\s+heat)\b",
+    _FLAGS,
+)
+
+
+@dataclass
+class Temperature:
+    """Une température trouvée dans `text`. Au moins un de `celsius` /
+    `gas_mark` / `qualitative` est non nul ; `raw` est le fragment exact
+    reconnu (`text[start:end]`)."""
+
+    start: int
+    end: int
+    celsius: float | None
+    gas_mark: int | None
+    qualitative: str | None
+    raw: str
+
+
+def _fahrenheit_to_celsius(fahrenheit: float) -> float:
+    return round((fahrenheit - 32) * 5 / 9)
+
+
+def extract_temperatures(text: str, locale: str) -> list[Temperature]:
+    """Toutes les températures de `text`, ordonnées par position, sans
+    chevauchement (le fragment le plus long gagne à position égale).
+    `locale` n'influe que sur le dictionnaire qualitatif retenu — les
+    motifs numériques sont communs."""
+    if not text.strip():
+        return []
+
+    qualitative_map = _QUALITATIVE_EN if locale == "en" else _QUALITATIVE_FR
+    found: list[Temperature] = []
+
+    for match in _FAHRENHEIT_RE.finditer(text):
+        found.append(
+            Temperature(
+                start=match.start(),
+                end=match.end(),
+                celsius=_fahrenheit_to_celsius(int(match.group(1))),
+                gas_mark=None,
+                qualitative=None,
+                raw=match.group(0),
+            )
+        )
+
+    fahrenheit_spans = [(temp.start, temp.end) for temp in found]
+
+    for match in _CELSIUS_RE.finditer(text):
+        # Un « 350 °F » a déjà été capté par la passe Fahrenheit — ne pas le
+        # relire en Celsius sur le nombre seul.
+        if any(start <= match.start() < end for start, end in fahrenheit_spans):
+            continue
+        found.append(
+            Temperature(
+                start=match.start(),
+                end=match.end(),
+                celsius=float(int(match.group(1))),
+                gas_mark=None,
+                qualitative=None,
+                raw=match.group(0),
+            )
+        )
+
+    for match in _GAS_MARK_RE.finditer(text):
+        found.append(
+            Temperature(
+                start=match.start(),
+                end=match.end(),
+                celsius=None,
+                gas_mark=int(match.group(1)),
+                qualitative=None,
+                raw=match.group(0),
+            )
+        )
+
+    for match in _QUALITATIVE_RE.finditer(text):
+        raw_level = (match.group(1) or match.group(2) or "").lower()
+        level = qualitative_map.get(raw_level) or _QUALITATIVE_FR.get(raw_level) or _QUALITATIVE_EN.get(raw_level)
+        if level is None:
+            continue
+        found.append(
+            Temperature(
+                start=match.start(),
+                end=match.end(),
+                celsius=None,
+                gas_mark=None,
+                qualitative=level,
+                raw=match.group(0),
+            )
+        )
+
+    # Résolution des chevauchements : à position de départ égale (ou
+    # imbrication), on garde le fragment le plus long, puis on avance.
+    found.sort(key=lambda temp: (temp.start, -(temp.end - temp.start)))
+    resolved: list[Temperature] = []
+    last_end = -1
+    for temp in found:
+        if temp.start < last_end:
+            continue
+        resolved.append(temp)
+        last_end = temp.end
+    return resolved

services/tech-step-intent-service/tests/test_routes_process.py

@@ -22,7 +22,7 @@ def test_process_against_an_unsupported_locale_returns_empty_result(client: Test
         "/v1/process", headers=_HEADERS, json={"locale": "de", "text": "faire mijoter à feu doux"}
     )
     assert response.status_code == 200
-    assert response.json() == {"entities": [], "intent": None, "score": 0.0}
+    assert response.json() == {"entities": [], "intent": None, "score": 0.0, "temperatures": []}
 
 
 def test_process_returns_entities_and_intent_for_a_real_corpus_sentence(client: TestClient):
@@ -48,4 +48,27 @@ def test_process_matches_english_text_against_the_english_trained_vocabulary(cli
 def test_process_with_blank_text_returns_empty_result(client: TestClient):
     response = client.post("/v1/process", headers=_HEADERS, json={"locale": "fr", "text": "   "})
     assert response.status_code == 200
-    assert response.json() == {"entities": [], "intent": None, "score": 0.0}
+    assert response.json() == {"entities": [], "intent": None, "score": 0.0, "temperatures": []}
+
+
+def test_process_extracts_temperatures_alongside_entities(client: TestClient):
+    response = client.post(
+        "/v1/process",
+        headers=_HEADERS,
+        json={"locale": "fr", "text": "Enfourner à 180°C puis finir à feu doux"},
+    )
+    assert response.status_code == 200
+    body = response.json()
+    temps = body["temperatures"]
+    assert {
+        "start": 12,
+        "end": 17,
+        "celsius": 180.0,
+        "gas_mark": None,
+        "qualitative": None,
+        "raw": "180°C",
+    } in temps
+    assert any(
+        temp["qualitative"] == "low" and temp["celsius"] is None and temp["raw"] == "feu doux"
+        for temp in temps
+    )

services/tech-step-intent-service/tests/test_temperature_extraction.py

@@ -0,0 +1,82 @@
+"""`temperature_extraction.extract_temperatures` — regex pure, sans modèle
+ni entraînement (voir le module)."""
+
+from intent_service.temperature_extraction import extract_temperatures
+
+
+def test_no_temperature_returns_empty_list():
+    assert extract_temperatures("Émincer les oignons finement", "fr") == []
+    assert extract_temperatures("   ", "fr") == []
+
+
+def test_celsius_with_degree_sign_and_c():
+    [temp] = extract_temperatures("Cuire à 180°C pendant 30 min", "fr")
+    assert temp.celsius == 180.0
+    assert temp.gas_mark is None
+    assert temp.qualitative is None
+    assert temp.raw == "180°C"
+    assert (temp.start, temp.end) == (8, 13)
+
+
+def test_celsius_spelled_out_degrees():
+    [temp] = extract_temperatures("Préchauffer le four à 200 degrés", "fr")
+    assert temp.celsius == 200.0
+    assert temp.raw == "200 degrés"
+
+
+def test_bare_degree_sign_reads_as_celsius():
+    [temp] = extract_temperatures("Monter le four à 240°", "fr")
+    assert temp.celsius == 240.0
+
+
+def test_fahrenheit_is_converted_and_rounded():
+    [temp] = extract_temperatures("Bake at 350°F", "en")
+    assert temp.celsius == 177.0  # round((350 - 32) * 5 / 9)
+    assert temp.raw == "350°F"
+
+
+def test_thermostat_and_gas_mark():
+    [fr] = extract_temperatures("Enfourner à thermostat 6", "fr")
+    assert fr.gas_mark == 6
+    assert fr.celsius is None
+
+    [short] = extract_temperatures("Cuisson à th. 7", "fr")
+    assert short.gas_mark == 7
+
+    [en] = extract_temperatures("Cook at gas mark 4", "en")
+    assert en.gas_mark == 4
+
+
+def test_qualitative_heat_fr():
+    levels = {
+        extract_temperatures(f"Faire revenir à feu {word}", "fr")[0].qualitative
+        for word in ("doux", "moyen", "vif", "fort")
+    }
+    assert levels == {"low", "medium", "high"}
+
+    [temp] = extract_temperatures("Laisser mijoter à feu doux", "fr")
+    assert temp.qualitative == "low"
+    assert temp.celsius is None and temp.gas_mark is None
+    assert temp.raw == "feu doux"
+
+
+def test_qualitative_heat_en():
+    [temp] = extract_temperatures("Sear over high heat", "en")
+    assert temp.qualitative == "high"
+    assert temp.raw == "high heat"
+
+
+def test_multiple_temperatures_in_order_without_overlap():
+    temps = extract_temperatures("Saisir à feu vif puis enfourner à 180°C, finir à th. 4", "fr")
+    assert [(t.qualitative, t.celsius, t.gas_mark) for t in temps] == [
+        ("high", None, None),
+        (None, 180.0, None),
+        (None, None, 4),
+    ]
+    assert [t.start for t in temps] == sorted(t.start for t in temps)
+
+
+def test_fahrenheit_not_double_counted_as_celsius():
+    temps = extract_temperatures("Bake at 400°F", "en")
+    assert len(temps) == 1
+    assert temps[0].celsius == 204.0