Use rotational discharge for Bento consumption

config/bento1-material-consumption.yaml

@@ -4,11 +4,12 @@ calculations:
     type: material_consumption
     version: "1"
     machine_ref: 5f42a4f6-9ca0-4f6f-9786-40d50a35b230
-    source_mode: area_application
+    source_mode: rotational_discharge
-    application_signal_refs:
+    rotational_speed_signal_refs:
-      - 19ea65d2-bd35-4d02-89de-4495583d9026
+      - 6e5d2d94-98f9-4cc1-8a88-7987c6282525
-      - d9f47615-69cf-4f97-88df-199585764491
+      - cd7385c4-337b-4759-ab32-45d65beaf190
-    # Transport Auszug Geschwindigkeit Istwert, m/min (also the production gate).
+    specific_discharge_kg_per_rev_m: 3.12
+    # Transport Auszug Geschwindigkeit Istwert, m/min (production gate only).
     gate_signal_ref: fef41976-1103-4090-b780-eaeecc02fdfa
     gate_threshold: 0.3
     max_sample_gap_seconds: 20.0

docs/bento1-fresh-bentonite.md

@@ -1,60 +1,138 @@
 # Bento 1 fresh bentonite consumption
 
 `config/bento1-material-consumption.yaml` defines
-`bento1-fresh-bentonite-consumption`. This KPI estimates **fresh bentonite
+`bento1-fresh-bentonite-consumption`, an estimate of **fresh bentonite consumption**
-consumption** from the two fresh-spreader setpoints in g/m². The third spreader
+from actual spreader roll speeds. Both needle rolls apply sequentially across the
-uses recycled/recovered bentonite and is deliberately excluded; it is neither
+full web width. The recycled/recovered third spreader is excluded.
-missing data nor estimated. This is not total bentonite deposited on the product,
-and setpoints are not a measurement of actual mass flow.
 
-The generic `area_application` source sums the configured application signals
+The generic `rotational_discharge` source converts one or more rpm signals to the
-and converts them to kg/h using `sum(g/m²) × nominal_width_m × speed_m/min × 60 / 1000`.
+existing integrator's kg/h: `sum(rpm) × nominal_width_m × specific_discharge_kg_per_rev_m × 60`.
-The existing previous-value integrator then accumulates kilograms only while
+Bento config sets the factor to **3.12 kg/(rev·m)** and uses:
-speed is strictly greater than 0.3 m/min. `direct_mass_rate` remains the default
-for existing configurations, including K7. The persistent state schema and
-production-order bootstrap/resume behavior are unchanged; each disjoint run
-starts with a new sample baseline while retaining order totals.
 
-Width comes from the existing ERP workplace status adapter and generic nominal
+- Right ACT: `6e5d2d94-98f9-4cc1-8a88-7987c6282525`
-width parser. The ERP order must format to the ENLYZE order using
+- Left ACT: `cd7385c4-337b-4759-ab32-45d65beaf190`
-`Bento 1-{production_order}`. Missing/mismatched ERP context or an unparseable
-width rejects the polling cycle without saving state. ENLYZE product metadata is
-not used for width. The current ERP context supplies width for all runs of that
-same order; this assumes the order's article width stays constant. Historical
-orders no longer present in current ERP workplace status require a separate
-historical context source for offline replay.
 
-Run with:
+ENLYZE now returns physical rpm directly (scaling factor 1.0); no division by
+1000 is applied. For 3.739 + 3.956 rpm and 5 m width, the rate is 120.042 kg/min
+(7202.52 kg/h), giving 20.007 kg in ten seconds.
 
-```sh
+Transport speed `fef41976-1103-4090-b780-eaeecc02fdfa` is exclusively the
-production-analytics run material-poll \
+production gate: speed must be strictly greater than 0.3 m/min. It does not
-  --config config/bento1-material-consumption.yaml \
+multiply the mass rate. The generic rotational mode also supports omitting
-  --erp-secrets-file secrets/erp.env
+`gate_signal_ref` and `gate_threshold`, in which case all valid intervals are
+active. Bento retains its gate.
+
+The two old SET sources `19ea65d2-bd35-4d02-89de-4495583d9026` and
+`d9f47615-69cf-4f97-88df-199585764491` are no longer requested by Bento.
+`direct_mass_rate` remains the default for K7; `area_application` remains
+available for other configurations. There is no Bento branch in the integrator.
+
+The previous-value integration, JSON state format and order bootstrap/resume
+remain unchanged. Totals accumulate across disjoint runs, with a new baseline
+at each run boundary, even if the inter-run gap is under 20 seconds. Intervals
+up to 20 seconds use the preceding rate and gate; longer sample gaps and
+unobserved run tails are not integrated. Missing/nonfinite source values reject
+the cycle. Finite negative speeds retain the existing generic signed-rate
+semantics; no clamping is introduced.
+
+Width comes from the existing ERP nominal-width parser, with workplace
+`Bento 1` and order format `Bento 1-{production_order}`. Workplace comparisons
+use `strip().casefold()`; order matching remains strict. Missing/mismatched ERP
+context or an unparseable width rejects the cycle without saving state. The
+current ERP context supplies width for all runs of the same order, assuming
+constant article width. Historical orders no longer in the ERP workplace view
+need a historical width source for replay.
+
+The configured factor is based on the supplied independent historical checks:
+3.1175 at 5.00 m (article 180305), 3.1193 and 3.1187 at 4.85 m (article 173000),
+and median 3.1208 at 5.00 m (article 180005; p05–p95 3.0703–3.1558).
+Tests use realistic rpm values and synthetic samples, including disjoint-run
+bootstrap and persisted resume. They are not a new replay of recorded ENLYZE data.
+
+## Old calculation cleanup: review before execution
+
+No production state or database rows were changed during this implementation,
+and no service start was requested. The operator reports Bento stopped;
+sandbox systemd access could not independently confirm that state.
+The deployed `/etc/systemd/system/production-analytics-bento1.service` specifies
+`/opt/git-projects/production-analytics/data/state/material` as its state directory.
+
+The existing state file for machine `5f42a4f6-9ca0-4f6f-9786-40d50a35b230`
+and order `Bento 1-12026000857` is exactly:
+
+```text
+/opt/git-projects/production-analytics/data/state/material/4d6cc209e35bc58887e5b4a3816835006425429e810e0d957f651971723e8c2f.json
 ```
 
-`erp_workplace: Bento 1` assumes that exact ERP workplace identifier; verify it
+This identity was verified using the store's SHA-256 of the JSON machine/order
-against the deployment's workplace view. The 20-second maximum sample gap is a
+pair. The file exists but its contents are not readable by the sandbox user.
-generic policy shared with K7, intended for a nominal 10-second sampling cadence.
+The other state file, `6d11088159b8e4fd21543560a54a31a0f86faf22bbf8f16873b228d1903c23f9.json`,
-One missing sample is tolerated: the resulting 20-second interval is integrated
+has not been attributed here and must be left untouched.
-using the preceding rate and gate. Gaps greater than 20 seconds are not
-integrated, so prolonged or repeated gaps can undercount consumption.
-Missing/nonfinite values from either configured fresh spreader reject the cycle.
-Intervals exceeding the maximum gap and unobserved run tails are not inferred.
 
-Before implementation, the calculation was independently validated manually
+Old PostgreSQL snapshots are in `material_consumption_snapshots`, scoped by both
-against the same three real ENLYZE signals over the two runs below, yielding
+`calculation_id = 'bento1-fresh-bentonite-consumption'` and
-approximately **147021.9 kg** of fresh bentonite for `Bento 1-12026000814`.
+`machine_id = '5f42a4f6-9ca0-4f6f-9786-40d50a35b230'`.
-The post-implementation live replay could not be repeated because ENLYZE
+The table has no calculation-source/version provenance column. Given the stopped
-connectivity was temporarily unavailable (DNS resolution failure), not because
+service and no rpm deployment yet, existing rows in this scope belong to the old
-of a known implementation issue. Exact production-path replay remains a
+calculation. PostgreSQL was unreachable from the sandbox, so exact row counts,
-follow-up verification rather than a blocker for this milestone.
+order/run membership and timestamp bounds remain unverified. Do not mistake
+this predicate for a completed row inventory. Review the following output first.
 
-The regression uses article 180305, description `Bfix NSP 5300,     5,00 x 40 m`
+Run these **read-only inventory commands** on the deployment host:
-(width 5.00 m), and the supplied boundaries of runs
+
-`b675818c-4636-4976-be6c-3e0e24da9e8a` and
+```sh
-`25d67424-8346-42d4-b844-75b4097382bd` for order `Bento 1-12026000814`.
+cd /opt/git-projects/production-analytics
-It constructs synthetic samples from the supplied aggregates: 1256.0 active
+sudo systemctl is-active production-analytics-bento1.service
-minutes, 31294.6 m² and 4698.0 g/m², yielding approximately 147021.9 kg.
+sudo cat data/state/material/4d6cc209e35bc58887e5b4a3816835006425429e810e0d957f651971723e8c2f.json
-It verifies bootstrap across both runs and persisted resume without counting the
+sudo docker compose exec -T timescaledb psql -U production_analytics -d production_analytics -v ON_ERROR_STOP=1 <<'SQL'
-inter-run gap. It is an aggregate plausibility regression, not an independent
+BEGIN READ ONLY;
-replay of recorded signals; raw reference samples were not supplied.
+SELECT production_order, run_id, count(*) AS rows,
+       min(timestamp) AS first_snapshot, max(timestamp) AS last_snapshot,
+       min(consumption_kg), max(consumption_kg)
+FROM material_consumption_snapshots
+WHERE calculation_id = 'bento1-fresh-bentonite-consumption'
+  AND machine_id = '5f42a4f6-9ca0-4f6f-9786-40d50a35b230'
+GROUP BY production_order, run_id ORDER BY first_snapshot;
+SELECT * FROM material_consumption_snapshots
+WHERE calculation_id = 'bento1-fresh-bentonite-consumption'
+  AND machine_id = '5f42a4f6-9ca0-4f6f-9786-40d50a35b230'
+ORDER BY production_order, timestamp;
+COMMIT;
+SQL
+```
+
+After reviewing the inventory, and **only with cleanup authorization**, keep the
+service stopped and execute this backup-and-delete transaction. The backup table
+intentionally has no `IF NOT EXISTS`: a repeated invocation fails rather than
+reusing an older backup. Only rows with the backed-up primary keys are deleted.
+K7 rows are outside the predicate.
+
+```sh
+cd /opt/git-projects/production-analytics
+sudo docker compose exec -T timescaledb psql -U production_analytics -d production_analytics -v ON_ERROR_STOP=1 <<'SQL'
+BEGIN;
+CREATE TABLE bento1_material_snapshots_before_rpm_20260907 AS
+SELECT * FROM material_consumption_snapshots
+WHERE calculation_id = 'bento1-fresh-bentonite-consumption'
+  AND machine_id = '5f42a4f6-9ca0-4f6f-9786-40d50a35b230';
+DELETE FROM material_consumption_snapshots AS s
+USING bento1_material_snapshots_before_rpm_20260907 AS old
+WHERE s.calculation_id = old.calculation_id AND s.machine_id = old.machine_id
+  AND s.production_order = old.production_order AND s.timestamp = old.timestamp;
+COMMIT;
+SQL
+sudo mv -n -- \
+  data/state/material/4d6cc209e35bc58887e5b4a3816835006425429e810e0d957f651971723e8c2f.json \
+  data/state/material/4d6cc209e35bc58887e5b4a3816835006425429e810e0d957f651971723e8c2f.json.before-rpm-20260907
+```
+
+Verify the original JSON path is absent before restarting; `mv -n` preserves an
+existing backup and will not overwrite it. If inventory reveals other Bento
+orders, derive their paths with `JsonMaterialStateStore._path(machine, order)`
+and review any existing files before moving them too. Do not clear the shared
+directory. Complete both state and snapshot cleanup before starting the new
+code: the state schema deliberately does not detect a changed source model.
+
+A later start bootstraps only the currently open order using its current ERP
+width. It does not automatically rebuild snapshots for closed historical
+orders. Reconstructing those requires a separately reviewed historical replay.

src/production_analytics/calculations/config.py

@@ -48,7 +48,7 @@ class MaterialCalculationConfig:
     version: str
     machine_ref: str
     rate_signal_ref: str
-    gate_signal_ref: str
+    gate_signal_ref: str | None
     gate_threshold: float
     max_sample_gap_seconds: float
     output_metric: str
@@ -56,6 +56,8 @@ class MaterialCalculationConfig:
     group_by: str
     source_mode: str = "direct_mass_rate"
     application_signal_refs: tuple[str, ...] = ()
+    rotational_speed_signal_refs: tuple[str, ...] = ()
+    specific_discharge_kg_per_rev_m: float | None = None
     erp_workplace: str = ""
     production_order_format: str = ""
 
@@ -86,7 +88,11 @@ def load_material_calculation(
         if "type" in entry and entry["type"] != "material_consumption":
             raise CalculationConfigError(f"{prefix}.type: only 'material_consumption' is supported")
         area = entry.get("source_mode", "direct_mass_rate") == "area_application"
-        if area:
+        rotational = entry.get("source_mode") == "rotational_discharge"
+        if rotational:
+            entry.setdefault("gate_signal_ref", None)
+            entry.setdefault("gate_threshold", 0.0)
+        if area or rotational:
             entry.setdefault("rate_signal_ref", "unused")
         missing = required - entry.keys()
         if missing:
@@ -94,6 +100,8 @@ def load_material_calculation(
         if entry.keys() - allowed:
             raise CalculationConfigError(f"{prefix}: unknown fields (check spelling)")
         for name in sorted(required - {"gate_threshold", "max_sample_gap_seconds"}):
+            if name == "gate_signal_ref" and rotational and entry[name] is None:
+                continue
             if not isinstance(entry[name], str) or not entry[name].strip():
                 raise CalculationConfigError(f"{prefix}.{name} must be a non-empty string")
         for name, expected in (
@@ -108,31 +116,45 @@ def load_material_calculation(
             entry["max_sample_gap_seconds"], f"{prefix}.max_sample_gap_seconds", positive=True,
         )
         mode = entry.get("source_mode", "direct_mass_rate")
-        if not isinstance(mode, str) or mode not in {"direct_mass_rate", "area_application"}:
+        if not isinstance(mode, str) or mode not in {
+            "direct_mass_rate", "area_application", "rotational_discharge",
+        }:
             raise CalculationConfigError("Unsupported material source_mode")
-        if area:
+        if area or rotational:
-            refs = entry.get("application_signal_refs")
+            refs_name = "rotational_speed_signal_refs" if rotational else "application_signal_refs"
+            other = "application_signal_refs" if rotational else "rotational_speed_signal_refs"
+            if other in entry:
+                raise CalculationConfigError(f"{mode} cannot specify {other}")
+            refs = entry.get(refs_name)
             if (not isinstance(refs, list) or not refs
                     or any(not isinstance(ref, str) or not ref.strip() for ref in refs)
                     or len(set(refs)) != len(refs)):
                 raise CalculationConfigError(
-                    "application_signal_refs must be unique signal strings"
+                    f"{refs_name} must be unique signal strings"
                 )
             if entry["rate_signal_ref"] != "unused":
-                raise CalculationConfigError("area_application cannot specify rate_signal_ref")
+                raise CalculationConfigError(f"{mode} cannot specify rate_signal_ref")
             for name in ("erp_workplace", "production_order_format"):
                 if not isinstance(entry.get(name), str) or not entry[name].strip():
-                    raise CalculationConfigError(f"area_application requires {name}")
+                    raise CalculationConfigError(f"{mode} requires {name}")
             from production_analytics.context import build_enlyze_production_order
             try:
                 build_enlyze_production_order("0", entry["production_order_format"])
             except ValueError as exc:
                 raise CalculationConfigError("Invalid production_order_format") from exc
-            entry["application_signal_refs"] = tuple(refs)
+            entry[refs_name] = tuple(refs)
         elif any(name in entry for name in (
-            "application_signal_refs", "erp_workplace", "production_order_format",
+            "application_signal_refs", "rotational_speed_signal_refs",
+            "erp_workplace", "production_order_format",
         )):
-            raise CalculationConfigError("Area context fields require area_application")
+            raise CalculationConfigError("Width context fields require a width-based source mode")
+        if rotational:
+            entry["specific_discharge_kg_per_rev_m"] = finite_number(
+                entry.get("specific_discharge_kg_per_rev_m"),
+                "specific_discharge_kg_per_rev_m", positive=True,
+            )
+        elif "specific_discharge_kg_per_rev_m" in entry:
+            raise CalculationConfigError("Specific discharge requires rotational_discharge")
         if entry["id"] in instances:
             raise CalculationConfigError("Calculation ids must be unique")
         instances[entry["id"]] = MaterialCalculationConfig(**entry)

src/production_analytics/calculations/material_consumption.py

@@ -119,3 +119,21 @@ def area_application_rate_kg_per_hour(
     if not isfinite(rate):
         raise ValueError("derived material rate must be finite")
     return rate
+
+
+def rotational_discharge_rate_kg_per_hour(
+    rotational_speeds_rpm: Iterable[float], nominal_width_m: float,
+    specific_discharge_kg_per_rev_m: float,
+) -> float:
+    """Convert full-width roll speeds and specific discharge to canonical kg/h."""
+    speeds = tuple(rotational_speeds_rpm)
+    if not speeds or not all(isfinite(value) for value in speeds):
+        raise ValueError("rotational speeds must be non-empty and finite")
+    if not isfinite(nominal_width_m) or nominal_width_m <= 0:
+        raise ValueError("nominal width must be finite and positive")
+    if not isfinite(specific_discharge_kg_per_rev_m) or specific_discharge_kg_per_rev_m <= 0:
+        raise ValueError("specific discharge must be finite and positive")
+    rate = sum(speeds) * nominal_width_m * specific_discharge_kg_per_rev_m * 60
+    if not isfinite(rate):
+        raise ValueError("derived material rate must be finite")
+    return rate

src/production_analytics/enlyze/gateway.py

@@ -7,6 +7,7 @@ from math import isfinite
 from production_analytics.calculations.material_consumption import (
     MaterialSample,
     area_application_rate_kg_per_hour,
+    rotational_discharge_rate_kg_per_hour,
 )
 from production_analytics.enlyze.exploration import ExplorationClient
 
@@ -89,19 +90,28 @@ class EnlyzeApiGateway:
         *,
         machine_id: str,
         rate_variable_id: str,
-        gate_variable_id: str,
+        gate_variable_id: str | None,
         start: datetime,
         end: datetime,
         application_variable_ids: tuple[str, ...] = (),
         nominal_width_m: float | None = None,
+        rotational_speed_variable_ids: tuple[str, ...] = (),
+        specific_discharge_kg_per_rev_m: float | None = None,
     ) -> list[MaterialSample]:
         for name, value in (("start", start), ("end", end)):
             if value.tzinfo is None or value.utcoffset() is None:
                 raise ValueError(f"{name} must be timezone-aware")
         if end < start:
             raise ValueError("end must not precede start")
-        source_ids = application_variable_ids or (rate_variable_id,)
+        if application_variable_ids and rotational_speed_variable_ids:
-        variable_ids = list(dict.fromkeys((*source_ids, gate_variable_id)))
+            raise ValueError("Material source modes are mutually exclusive")
+        if gate_variable_id is None and not rotational_speed_variable_ids:
+            raise ValueError("This source requires a gate signal")
+        source_ids = (
+            rotational_speed_variable_ids or application_variable_ids or (rate_variable_id,)
+        )
+        gate_ids = (gate_variable_id,) if gate_variable_id else ()
+        variable_ids = list(dict.fromkeys((*source_ids, *gate_ids)))
         request_body = {
             "machine": machine_id,
             "start": start.astimezone(UTC).isoformat(),
@@ -123,7 +133,7 @@ class EnlyzeApiGateway:
                         raise ValueError(f"required column {required!r} must occur exactly once")
                 time_index = columns.index("time")
                 source_indices = [columns.index(ref) for ref in source_ids]
-                gate_index = columns.index(gate_variable_id)
+                gate_index = columns.index(gate_variable_id) if gate_variable_id else None
                 if not isinstance(data["records"], list):
                     raise ValueError("records must be a list")
                 for index, record in enumerate(data["records"]):
@@ -131,13 +141,19 @@ class EnlyzeApiGateway:
                         if not isinstance(record, list) or len(record) != len(columns):
                             raise ValueError("record must match columns")
                         sources = [record[i] for i in source_indices]
-                        gate = record[gate_index]
+                        gate = record[gate_index] if gate_index is not None else 1.0
                         for value in (*sources, gate):
                             if isinstance(value, bool) or not isinstance(value, (int, float)):
                                 raise ValueError("rate and gate must be numeric")
                             if not isfinite(value):
                                 raise ValueError("rate and gate must be finite")
-                        if application_variable_ids:
+                        if rotational_speed_variable_ids:
+                            if nominal_width_m is None or specific_discharge_kg_per_rev_m is None:
+                                raise ValueError("rotational discharge requires width and factor")
+                            rate = rotational_discharge_rate_kg_per_hour(
+                                sources, nominal_width_m, specific_discharge_kg_per_rev_m,
+                            )
+                        elif application_variable_ids:
                             if nominal_width_m is None:
                                 raise ValueError("area application requires nominal width")
                             rate = area_application_rate_kg_per_hour(sources, nominal_width_m, gate)

src/production_analytics/service/material_context.py

@@ -14,7 +14,8 @@ class ErpNominalWidthProvider:
 
     def __call__(self, production_order: str) -> float:
         status = self.gateway.get_current_workplace_status(self.workplace)
-        if (status is None or status.workplace != self.workplace
+        if (status is None
+                or status.workplace.strip().casefold() != self.workplace.strip().casefold()
                 or build_enlyze_production_order(status.production_order, self.format_template)
                 != production_order):
             raise ValueError("ERP context does not match the production order")

src/production_analytics/service/material_polling.py

@@ -51,23 +51,30 @@ class MaterialPollingService:
         state_store: MaterialStateStore,
         machine_id: str,
         rate_variable_id: str,
-        gate_variable_id: str,
+        gate_variable_id: str | None,
         gate_threshold: float,
         max_sample_gap_seconds: float,
         application_variable_ids: tuple[str, ...] = (),
+        rotational_speed_variable_ids: tuple[str, ...] = (),
+        specific_discharge_kg_per_rev_m: float | None = None,
         nominal_width_provider: Callable[[str], float] | None = None,
     ) -> None:
+        if application_variable_ids and rotational_speed_variable_ids:
+            raise ValueError("Material source modes are mutually exclusive")
+        self._rotational_speed_variable_ids = rotational_speed_variable_ids
+        self._specific_discharge = specific_discharge_kg_per_rev_m
         self._application_variable_ids = application_variable_ids
         self._nominal_width_provider = nominal_width_provider
-        if application_variable_ids and nominal_width_provider is None:
+        if ((application_variable_ids or rotational_speed_variable_ids)
-            raise ValueError("area application requires a nominal width provider")
+                and nominal_width_provider is None):
+            raise ValueError("width-based source requires a nominal width provider")
         self._gateway = gateway
         self._state_store = state_store
         self._machine_id = machine_id
         self._rate_variable_id = rate_variable_id
         self._gate_variable_id = gate_variable_id
         self._config = MaterialIntegratorConfig(
-            gate_threshold=gate_threshold,
+            gate_threshold=gate_threshold if gate_variable_id is not None else 0.0,
             max_sample_gap_seconds=max_sample_gap_seconds,
         )
 
@@ -79,7 +86,7 @@ class MaterialPollingService:
             return None
 
         width = (self._nominal_width_provider(run.production_order)
-                 if self._application_variable_ids else None)
+                 if self._application_variable_ids or self._rotational_speed_variable_ids else None)
         saved_polling_state = self._state_store.load(
             self._machine_id,
             run.production_order,
@@ -151,6 +158,11 @@ class MaterialPollingService:
             source_options = dict(
                 application_variable_ids=self._application_variable_ids, nominal_width_m=width,
             )
+        if self._rotational_speed_variable_ids:
+            source_options = dict(
+                rotational_speed_variable_ids=self._rotational_speed_variable_ids,
+                specific_discharge_kg_per_rev_m=self._specific_discharge, nominal_width_m=width,
+            )
         samples = self._gateway.get_material_samples(
             machine_id=self._machine_id,
             rate_variable_id=self._rate_variable_id,

src/production_analytics/service/material_runtime.py

@@ -73,7 +73,7 @@ def build_material_runner(
         ) from exc
     postgres_settings = PostgresSettings.from_environment(environment)
     source_options = {}
-    if calculation.source_mode == "area_application":
+    if calculation.source_mode in {"area_application", "rotational_discharge"}:
         source_options = dict(
             application_variable_ids=calculation.application_signal_refs,
             nominal_width_provider=ErpNominalWidthProvider(
@@ -82,6 +82,12 @@ def build_material_runner(
                 format_template=calculation.production_order_format,
             ),
         )
+    if calculation.source_mode == "rotational_discharge":
+        source_options.pop("application_variable_ids")
+        source_options.update(
+            rotational_speed_variable_ids=calculation.rotational_speed_signal_refs,
+            specific_discharge_kg_per_rev_m=calculation.specific_discharge_kg_per_rev_m,
+        )
     service = MaterialPollingService(
         gateway=EnlyzeApiGateway(ExplorationClient(settings)),
         state_store=_ReportingStateStore(JsonMaterialStateStore(state_directory)),

tests/test_area_material_consumption.py

@@ -80,6 +80,31 @@ def width_provider():
     )
 
 
+@pytest.mark.parametrize('configured,returned', [
+    ('Bento 1', 'BENTO 1'),
+    ('Bento 1', ' \tBENTO 1\n'),
+    (' \tBento 1\n', 'BENTO 1'),
+    ('K7', ' k7 '),
+])
+def test_width_context_normalizes_workplace(configured, returned):
+    provider = width_provider()
+    provider.workplace = configured
+    provider.gateway.get_current_workplace_status.return_value.workplace = returned
+    assert provider('Bento 1-12026000814') == 5.0
+
+
+@pytest.mark.parametrize('production_order', [
+    'Bento 1-12026000815',
+    'BENTO 1-12026000814',
+    ' Bento 1-12026000814 ',
+])
+def test_width_context_keeps_production_order_strict(production_order):
+    provider = width_provider()
+    provider.gateway.get_current_workplace_status.return_value.workplace = 'BENTO 1'
+    with pytest.raises(ValueError, match='ERP context does not match the production order'):
+        provider(production_order)
+
+
 @pytest.mark.parametrize('field,value', [
     ('production_order', '12026000815'), ('workplace', 'K7'),
     ('article_description', None), ('article_description', '180305'),
@@ -91,10 +116,11 @@ def test_width_context_fails_closed(field, value):
         provider('Bento 1-12026000814')
 
 
-def test_bento_reference_aggregate_bootstrap_and_persistent_resume(tmp_path):
+@pytest.mark.parametrize('inter_run_gap_seconds', [5, 3761])
+def test_bento_rpm_bootstrap_and_persistent_resume(tmp_path, inter_run_gap_seconds):
     """Synthetic aggregate fixture, not recorded ENLYZE samples.
 
-    Uses reported active time/area/application within the actual run boundaries.
+    Uses realistic rpm values and synthetic active time within actual run boundaries.
     """
     config = load_material_calculation('config/bento1-material-consumption.yaml')
     order = 'Bento 1-12026000814'
@@ -106,7 +132,11 @@ def test_bento_reference_aggregate_bootstrap_and_persistent_resume(tmp_path):
         ('25d67424-8346-42d4-b844-75b4097382bd',
          '2026-08-26T05:43:39Z', '2026-08-26T05:54:05Z'),
     ]]
-    speed = 31294.6 / (5 * 1256)
+    runs[1] = replace(
+        runs[1], start=runs[0].end + timedelta(seconds=inter_run_gap_seconds),
+        end=runs[0].end + timedelta(seconds=inter_run_gap_seconds + 626),
+    )
+    speed = 2.0
     client = Mock()
 
     def response(path, body):
@@ -122,8 +152,8 @@ def test_bento_reference_aggregate_bootstrap_and_persistent_resume(tmp_path):
         if start <= stop <= end:
             times.add(stop)
         return SimpleNamespace(body={'data': {
-            'columns': ['time', *config.application_signal_refs, config.gate_signal_ref],
+            'columns': ['time', *config.rotational_speed_signal_refs, config.gate_signal_ref],
-            'records': [[t.isoformat(), 2300, 2398, speed if t < stop else 0]
+            'records': [[t.isoformat(), 3.739, 3.956, speed if t < stop else 0]
                         for t in sorted(times)],
         }})
 
@@ -139,35 +169,44 @@ def test_bento_reference_aggregate_bootstrap_and_persistent_resume(tmp_path):
             rate_variable_id=config.rate_signal_ref, gate_variable_id=config.gate_signal_ref,
             gate_threshold=config.gate_threshold,
             max_sample_gap_seconds=config.max_sample_gap_seconds,
-            application_variable_ids=config.application_signal_refs,
+            rotational_speed_variable_ids=config.rotational_speed_signal_refs,
+            specific_discharge_kg_per_rev_m=config.specific_discharge_kg_per_rev_m,
             nominal_width_provider=width_provider(),
         )
 
+    partial = service().poll_once(now=runs[1].start + timedelta(seconds=300))
     result = service().poll_once(now=runs[1].end)
+    assert result.state.cumulative_consumption_kg - partial.state.cumulative_consumption_kg == (
+        pytest.approx((3.739 + 3.956) * 5 * 3.12 * 326 / 60)
+    )
     assert result.state.integrated_running_seconds / 60 == pytest.approx(1256)
-    assert result.state.cumulative_consumption_kg == pytest.approx(147021.9, abs=0.2)
+    assert result.state.cumulative_consumption_kg == pytest.approx(
-    assert result.state.integrated_running_seconds / 60 * speed * 5 == pytest.approx(31294.6)
+        (3.739 + 3.956) * 5 * 3.12 * 1256,
+    )
     assert service().poll_once(now=runs[1].end).state == result.state
     assert gateway.get_production_runs.call_count == 1
     assert [(timestamp(call.args[1]['start']), timestamp(call.args[1]['end']))
             for call in client.post_json.call_args_list[:2]] == [
-                (run.start, run.end) for run in runs]
+                (runs[0].start, runs[0].end),
+                (runs[1].start, runs[1].start + timedelta(seconds=300)),
+            ]
 
 
 def test_k7_config_defaults_remain_direct():
     config = load_material_calculation('config/k7-material-consumption.yaml')
     assert config.source_mode == 'direct_mass_rate'
+    assert config.rotational_speed_signal_refs == ()
     assert config.application_signal_refs == ()
     assert config.gate_threshold == 0.5
     assert config.rate_signal_ref == 'c9d06af5-f6d6-4ede-b6c4-5a98bac77129'
 
 
 @pytest.mark.parametrize('field,value', [
-    ('source_mode', 'unknown'), ('application_signal_refs', []),
+    ('source_mode', 'unknown'), ('rotational_speed_signal_refs', []),
-    ('application_signal_refs', ['same', 'same']), ('erp_workplace', ''),
+    ('rotational_speed_signal_refs', ['same', 'same']), ('erp_workplace', ''),
     ('production_order_format', '{wrong}'), ('rate_signal_ref', 'direct'),
 ])
-def test_invalid_area_configuration(tmp_path, field, value):
+def test_invalid_rotational_configuration(tmp_path, field, value):
     with open('config/bento1-material-consumption.yaml') as stream:
         document = yaml.safe_load(stream)
     document['calculations'][0][field] = value
@@ -177,7 +216,7 @@ def test_invalid_area_configuration(tmp_path, field, value):
         load_material_calculation(path)
 
 
-def test_area_context_failure_does_not_touch_persistent_state(tmp_path):
+def test_rotational_context_failure_does_not_touch_persistent_state(tmp_path):
     config = load_material_calculation('config/bento1-material-consumption.yaml')
     gateway = Mock()
     now = timestamp('2026-08-25T05:27:18Z')
@@ -191,7 +230,9 @@ def test_area_context_failure_does_not_touch_persistent_state(tmp_path):
         gateway=gateway, state_store=store, machine_id=config.machine_ref,
         rate_variable_id=config.rate_signal_ref, gate_variable_id=config.gate_signal_ref,
         gate_threshold=config.gate_threshold, max_sample_gap_seconds=20,
-        application_variable_ids=config.application_signal_refs, nominal_width_provider=provider,
+        rotational_speed_variable_ids=config.rotational_speed_signal_refs,
+        specific_discharge_kg_per_rev_m=config.specific_discharge_kg_per_rev_m,
+        nominal_width_provider=provider,
     )
     with pytest.raises(ValueError, match='context'):
         service.poll_once(now=now)

tests/test_rotational_material_consumption.py

@@ -0,0 +1,113 @@
+from datetime import UTC, datetime, timedelta
+from unittest.mock import Mock, patch
+
+import pytest
+import yaml
+
+from production_analytics.calculations.config import (
+    CalculationConfigError,
+    load_material_calculation,
+)
+from production_analytics.calculations.material_consumption import (
+    MaterialConsumptionIntegrator,
+    MaterialIntegratorConfig,
+    rotational_discharge_rate_kg_per_hour,
+)
+from production_analytics.enlyze.gateway import EnlyzeApiGateway
+from production_analytics.service.material_runtime import build_material_runner
+
+
+@pytest.mark.parametrize('speeds,width,factor,expected', [
+    ([3.739, 3.956], 5, 3.12, 7202.52),
+    ([3.739, 3.956], 4.85, 3.12, 6986.4444),
+    ([2], 4, 1.5, 720),
+    ([2, 3, 4], 4, 1.5, 3240),
+])
+def test_conversion(speeds, width, factor, expected):
+    assert rotational_discharge_rate_kg_per_hour(speeds, width, factor) == pytest.approx(expected)
+
+
+@pytest.mark.parametrize('speeds,width,factor', [
+    ([], 5, 3.12), ([float('nan')], 5, 3.12), ([1], 0, 3.12),
+    ([1], float('inf'), 3.12), ([1], 5, 0), ([1], 5, float('nan')),
+    ([1e308], 5, 3.12),
+])
+def test_invalid_conversion(speeds, width, factor):
+    with pytest.raises(ValueError):
+        rotational_discharge_rate_kg_per_hour(speeds, width, factor)
+
+
+@pytest.mark.parametrize('gate_id', ['speed', None])
+def test_gate_and_gap(gate_id):
+    start = datetime(2026, 8, 25, tzinfo=UTC)
+    times = [0, 10, 20, 40, 61, 71, 81]
+    gates = [2, 0.3, 0, 8, 1, 1, 1]
+    client = Mock()
+    client.post_json.return_value.body = {'data': {
+        'columns': ['time', 'right', 'left'] + ([gate_id] if gate_id else []),
+        'records': [[(start + timedelta(seconds=t)).isoformat(), 3.739, 3.956]
+                    + ([gate] if gate_id else []) for t, gate in zip(times, gates, strict=True)],
+    }}
+    samples = EnlyzeApiGateway(client).get_material_samples(
+        machine_id='m', rate_variable_id='unused', gate_variable_id=gate_id,
+        rotational_speed_variable_ids=('right', 'left'), nominal_width_m=5,
+        specific_discharge_kg_per_rev_m=3.12, start=start, end=start + timedelta(seconds=81),
+    )
+    assert all(s.material_rate_kg_per_hour == pytest.approx(7202.52) for s in samples)
+    state = MaterialConsumptionIntegrator(MaterialIntegratorConfig(0.3, 20)).process_many(samples)
+    seconds = 30 if gate_id else 60
+    assert state.integrated_running_seconds == seconds
+    assert state.cumulative_consumption_kg == pytest.approx(120.042 * seconds / 60)
+    assert client.post_json.call_args.args[1]['variables'] == [
+        {'uuid': ref} for ref in ['right', 'left'] + ([gate_id] if gate_id else [])]
+
+
+@pytest.mark.parametrize('field,value', [
+    ('specific_discharge_kg_per_rev_m', None), ('specific_discharge_kg_per_rev_m', 0),
+    ('specific_discharge_kg_per_rev_m', True), ('specific_discharge_kg_per_rev_m', float('inf')),
+    ('application_signal_refs', ['set']), ('rotational_speed_signal_refs', ['']),
+])
+def test_invalid_config(tmp_path, field, value):
+    document = yaml.safe_load(open('config/bento1-material-consumption.yaml'))
+    document['calculations'][0][field] = value
+    path = tmp_path / 'config.yaml'
+    path.write_text(yaml.safe_dump(document))
+    with pytest.raises(CalculationConfigError):
+        load_material_calculation(path)
+
+
+def test_optional_gate_config(tmp_path):
+    document = yaml.safe_load(open('config/bento1-material-consumption.yaml'))
+    del document['calculations'][0]['gate_signal_ref']
+    del document['calculations'][0]['gate_threshold']
+    path = tmp_path / 'config.yaml'
+    path.write_text(yaml.safe_dump(document))
+    config = load_material_calculation(path)
+    assert config.gate_signal_ref is None
+    assert config.gate_threshold == 0
+
+
+def test_bento_runtime_wiring(tmp_path, monkeypatch):
+    monkeypatch.setenv('ENLYZE_BASE_URL', 'https://example.invalid/api/')
+    for key, value in dict(HOST='localhost', PORT='5432', DB='analytics',
+                           USER='user', PASSWORD='test').items():
+        monkeypatch.setenv(f'POSTGRES_{key}', value)
+    secrets = tmp_path / 'secret.env'
+    secrets.write_text('ENLYZE_API_KEY=test\n')
+    config = load_material_calculation('config/bento1-material-consumption.yaml')
+    with patch('production_analytics.service.material_runtime.ErpSettings') as erp_settings:
+        runner = build_material_runner(
+            config, poll_interval_seconds=10, state_directory=tmp_path / 'state',
+            secrets_file=secrets, erp_secrets_file=tmp_path / 'erp.env',
+        )
+    service = runner.service
+    assert config.source_mode == 'rotational_discharge'
+    assert service._rotational_speed_variable_ids == (
+        '6e5d2d94-98f9-4cc1-8a88-7987c6282525', 'cd7385c4-337b-4759-ab32-45d65beaf190',
+    )
+    assert service._application_variable_ids == ()
+    assert service._specific_discharge == 3.12
+    assert service._gate_variable_id == 'fef41976-1103-4090-b780-eaeecc02fdfa'
+    assert service._config == MaterialIntegratorConfig(0.3, 20)
+    assert service._nominal_width_provider.workplace == 'Bento 1'
+    erp_settings.from_secret_file.assert_called_once_with(tmp_path / 'erp.env')