Statistiche per sessione di produzione: filtro production_run_id, elenco sessioni, select Sessione (#58)

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

src/backend/api/routers/reports.py

@@ -23,6 +23,7 @@ async def download_spc_report(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
 ) -> Response:
@@ -32,6 +33,7 @@ async def download_spc_report(
             db, recipe_id, subtask_id,
             version_id, date_from, date_to,
             operator_id, lot_number, serial_number,
+            production_run_id=production_run_id,  # #58
         )
     except Exception as e:
         raise HTTPException(
@@ -57,6 +59,7 @@ async def download_measurement_report(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
 ) -> Response:
@@ -66,6 +69,7 @@ async def download_measurement_report(
             db, recipe_id, subtask_id,
             version_id, date_from, date_to,
             operator_id, lot_number, serial_number,
+            production_run_id=production_run_id,  # #58
         )
     except Exception as e:
         raise HTTPException(

src/backend/api/routers/statistics.py

@@ -3,12 +3,13 @@ from datetime import datetime
 from src.backend.models.api.tipi import UtcNaiveInput
 
 from fastapi import APIRouter, Depends, HTTPException, Query, status
-from sqlalchemy import and_, select
+from sqlalchemy import and_, func, select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from src.backend.database import get_db
 from src.backend.api.middleware.api_key import require_metrologist
 from src.backend.models.orm.measurement import Measurement
+from src.backend.models.orm.production import ProductionRun
 from src.backend.models.orm.recipe import RecipeVersion
 from src.backend.models.orm.task import RecipeSubtask, RecipeTask
 from src.backend.models.orm.user import User
@@ -38,6 +39,7 @@ async def _query_measurements(
     operator_id: int | None = None,
     lot_number: str | None = None,
     serial_number: str | None = None,
+    production_run_id: int | None = None,  # #58: solo le misure di una sessione
 ) -> list[Measurement]:
     """Query measurements with common filters.
 
@@ -67,6 +69,9 @@ async def _query_measurements(
     if serial_number is not None:
         filters.append(Measurement.serial_number == serial_number)
 
+    if production_run_id is not None:
+        filters.append(Measurement.production_run_id == production_run_id)
+
     query = (
         select(Measurement)
         .where(and_(*filters) if filters else True)
@@ -106,6 +111,7 @@ async def get_summary(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
 ) -> SummaryData:
@@ -113,6 +119,7 @@ async def get_summary(
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
     pass_fail_values = [m.pass_fail for m in measurements]
     return compute_summary(pass_fail_values)
@@ -128,6 +135,7 @@ async def get_capability(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
 ) -> CapabilityData:
@@ -135,6 +143,7 @@ async def get_capability(
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
     values = [float(m.value) for m in measurements]
     tol = await _get_subtask_tolerances(db, subtask_id)
@@ -151,6 +160,7 @@ async def get_control_chart(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
 ) -> ControlChartData:
@@ -158,6 +168,7 @@ async def get_control_chart(
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
     values = [float(m.value) for m in measurements]
     timestamps = [m.measured_at for m in measurements]
@@ -178,6 +189,7 @@ async def get_histogram(
     operator_id: int | None = Query(None),
     lot_number: str | None = Query(None),
     serial_number: str | None = Query(None),
+    production_run_id: int | None = Query(None),  # #58
     n_bins: int = Query(20, ge=5, le=100),
     user: User = Depends(require_metrologist),
     db: AsyncSession = Depends(get_db),
@@ -186,6 +198,7 @@ async def get_histogram(
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
     values = [float(m.value) for m in measurements]
     return compute_histogram(values, n_bins)
@@ -235,3 +248,46 @@ async def get_recipe_subtasks(
             })
 
     return subtasks_list
+
+
+@router.get("/runs")
+async def get_recipe_runs(
+    recipe_id: int = Query(...),
+    user: User = Depends(require_metrologist),
+    db: AsyncSession = Depends(get_db),
+) -> list[dict]:
+    """#58: production runs of a recipe (for the "Sessione" filter), newest first."""
+    # Misure per sessione in una sola query, poi unite alle sessioni.
+    counts = dict((await db.execute(
+        select(Measurement.production_run_id, func.count(Measurement.id))
+        .where(Measurement.production_run_id.is_not(None))
+        .group_by(Measurement.production_run_id)
+    )).all())
+    runs = (await db.execute(
+        select(ProductionRun)
+        .where(ProductionRun.recipe_id == recipe_id)
+        .order_by(ProductionRun.started_at.desc(), ProductionRun.id.desc())
+    )).scalars().all()
+    operator_ids = {r.operator_id for r in runs}
+    names = {}
+    if operator_ids:
+        names = dict((await db.execute(
+            select(User.id, User.display_name).where(User.id.in_(operator_ids))
+        )).all())
+    return [
+        {
+            "id": r.id,
+            "station_id": r.station_id,
+            "station_name": r.station.name if r.station else None,
+            "operator_id": r.operator_id,
+            "operator_name": names.get(r.operator_id),
+            "started_at": r.started_at.isoformat() if r.started_at else None,
+            "closed_at": r.closed_at.isoformat() if r.closed_at else None,
+            "status": r.status,
+            "lot_number": r.lot_number,
+            "serial_number": r.serial_number,
+            "cycle_count": r.cycle_count,
+            "measurement_count": counts.get(r.id, 0),
+        }
+        for r in runs
+    ]

src/backend/services/report_service.py

@@ -48,6 +48,7 @@ async def _query_measurements(
     operator_id: int | None = None,
     lot_number: str | None = None,
     serial_number: str | None = None,
+    production_run_id: int | None = None,  # #58
 ) -> list[Measurement]:
     """Query measurements with common filters (duplicated from statistics router)."""
     filters = []
@@ -73,6 +74,9 @@ async def _query_measurements(
     if serial_number is not None:
         filters.append(Measurement.serial_number == serial_number)
 
+    if production_run_id is not None:
+        filters.append(Measurement.production_run_id == production_run_id)
+
     query = (
         select(Measurement)
         .where(and_(*filters) if filters else True)
@@ -281,6 +285,7 @@ async def generate_spc_report(
     operator_id: int | None = None,
     lot_number: str | None = None,
     serial_number: str | None = None,
+    production_run_id: int | None = None,  # #58
 ) -> bytes:
     """Generate SPC PDF report and return bytes.
 
@@ -290,6 +295,7 @@ async def generate_spc_report(
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
 
     # 2. Compute SPC data
@@ -336,6 +342,8 @@ async def generate_spc_report(
         filters_desc.append(f"Lot: {lot_number}")
     if serial_number:
         filters_desc.append(f"Serial: {serial_number}")
+    if production_run_id is not None:
+        filters_desc.append(f"Run: {production_run_id}")  # #58
 
     # 6. Render HTML template
     template = _jinja_env.get_template("spc_report.html")
@@ -367,12 +375,14 @@ async def generate_measurement_report(
     operator_id: int | None = None,
     lot_number: str | None = None,
     serial_number: str | None = None,
+    production_run_id: int | None = None,  # #58
 ) -> bytes:
     """Generate measurement table PDF report and return bytes."""
     # 1. Query measurements
     measurements = await _query_measurements(
         db, recipe_id, version_id, subtask_id,
         date_from, date_to, operator_id, lot_number, serial_number,
+        production_run_id=production_run_id,  # #58
     )
 
     # 2. Get recipe info
@@ -427,6 +437,8 @@ async def generate_measurement_report(
         filters_desc.append(f"Lot: {lot_number}")
     if serial_number:
         filters_desc.append(f"Serial: {serial_number}")
+    if production_run_id is not None:
+        filters_desc.append(f"Run: {production_run_id}")  # #58
 
     # 7. Render template
     template = _jinja_env.get_template("measurement_report.html")

src/backend/tests/test_statistics.py

@@ -211,3 +211,79 @@ class TestDateFilter:
         assert resp.status_code == 200
         # All measurements should be within this wide range
         assert resp.json()["total"] >= 2
+
+
+class TestRunFilter:
+    """#58: statistiche per sessione di produzione."""
+
+    async def _setup(self, db_session, user, metro):
+        from datetime import datetime
+        from src.backend.models.orm.production import ProductionRun
+        from src.backend.models.orm.station import Station
+        from src.backend.models.orm.recipe import RecipeVersion
+        from sqlalchemy import select
+        recipe = await create_test_recipe(db_session, user.id)
+        version = (await db_session.execute(
+            select(RecipeVersion).where(RecipeVersion.recipe_id == recipe.id)
+        )).scalars().first()
+        station = Station(code="ST-58", name="Stazione 58", active=True, created_by=user.id)
+        db_session.add(station)
+        await db_session.commit()
+        runs = []
+        for i, lot in enumerate(["L1", "L2"]):
+            run = ProductionRun(
+                station_id=station.id, recipe_id=recipe.id, version_id=version.id,
+                operator_id=user.id, status="closed", lot_number=lot,
+                started_at=datetime(2026, 1, 1 + i),
+            )
+            db_session.add(run)
+            runs.append(run)
+        await db_session.commit()
+        return recipe, runs
+
+    async def test_filter_by_run_and_unfiltered(
+        self, client, measurement_tec_user, metrologist_user, db_session,
+    ):
+        from src.backend.models.orm.measurement import Measurement
+        recipe, runs = await self._setup(db_session, measurement_tec_user, metrologist_user)
+        subtask_id, version_id = await _seed_measurements(
+            client, measurement_tec_user, recipe.id, [10.0, 10.1, 10.2],
+        )
+        # Assegna le prime due misure al run 1, la terza al run 2.
+        from sqlalchemy import select
+        ms = (await db_session.execute(
+            select(Measurement).order_by(Measurement.id)
+        )).scalars().all()
+        ms[0].production_run_id = runs[0].id
+        ms[1].production_run_id = runs[0].id
+        ms[2].production_run_id = runs[1].id
+        await db_session.commit()
+
+        h = auth_headers(metrologist_user)
+        r1 = await client.get("/api/statistics/summary", headers=h,
+                              params={"recipe_id": recipe.id, "production_run_id": runs[0].id})
+        assert r1.json()["total"] == 2
+        r2 = await client.get("/api/statistics/summary", headers=h,
+                              params={"recipe_id": recipe.id, "production_run_id": runs[1].id})
+        assert r2.json()["total"] == 1
+        r_all = await client.get("/api/statistics/summary", headers=h,
+                                 params={"recipe_id": recipe.id})
+        assert r_all.json()["total"] == 3
+
+        runs_resp = await client.get("/api/statistics/runs", headers=h,
+                                     params={"recipe_id": recipe.id})
+        assert runs_resp.status_code == 200
+        data = runs_resp.json()
+        assert [r["id"] for r in data] == [runs[1].id, runs[0].id]  # più recente prima
+        assert [r["measurement_count"] for r in data] == [1, 2]
+        assert data[0]["lot_number"] == "L2"
+        assert data[0]["station_name"] == "Stazione 58"
+        assert data[0]["closed_at"] is None
+
+    async def test_runs_require_metrologist(
+        self, client, measurement_tec_user, db_session,
+    ):
+        resp = await client.get("/api/statistics/runs",
+                                headers=auth_headers(measurement_tec_user),
+                                params={"recipe_id": 1})
+        assert resp.status_code == 403

src/frontend/flask_app/blueprints/statistics.py

@@ -50,7 +50,7 @@ def _proxy_statistics(endpoint: str):
     for key in [
         "recipe_id", "version_id", "subtask_id",
         "date_from", "date_to", "operator_id",
-        "lot_number", "serial_number", "n_bins",
+        "lot_number", "serial_number", "n_bins", "production_run_id",  # #58
     ]:
         val = request.args.get(key)
         if val is not None and val != "":
@@ -127,6 +127,27 @@ def api_subtasks():
     return jsonify(resp)
 
 
+@statistics_bp.route("/api/runs")
+@login_required
+@role_required("Metrologist")
+def api_runs():
+    """Proxy: production runs of a recipe (#58, "Sessione" filter)."""
+    params = {}
+    recipe_id = request.args.get("recipe_id")
+    if recipe_id:
+        params["recipe_id"] = recipe_id
+
+    resp = api_client.get("/api/statistics/runs", params=params)
+
+    if isinstance(resp, dict) and resp.get("error"):
+        error_body = {"error": True, "detail": resp.get("detail", "")}
+        if resp.get("session_expired"):
+            error_body["session_expired"] = True
+        return jsonify(error_body), resp.get("status_code", 500)
+
+    return jsonify(resp)
+
+
 # ============================================================================
 # PROXY REPORT PDF → FastAPI
 # ============================================================================
@@ -137,7 +158,7 @@ def _proxy_report(endpoint: str):
     for key in [
         "recipe_id", "version_id", "subtask_id",
         "date_from", "date_to", "operator_id",
-        "lot_number", "serial_number",
+        "lot_number", "serial_number", "production_run_id",  # #58
     ]:
         val = request.args.get(key)
         if val is not None and val != "":

src/frontend/flask_app/templates/statistics/dashboard.html

@@ -35,6 +35,19 @@
         </select>
       </div>
 
+      <!-- Sessione di produzione (#58) -->
+      <div>
+        <label class="block text-xs font-medium text-steel mb-1">{{ _("Sessione") }}</label>
+        <select x-model="selectedRunId"
+                :disabled="runs.length === 0"
+                class="w-full rounded-lg border border-[var(--border-color)] bg-[var(--bg-primary)] text-[var(--text-primary)] px-3 py-2 text-sm focus:ring-2 focus:ring-primary focus:border-primary disabled:opacity-50">
+          <option value="">{{ _("Tutte le sessioni") }}</option>
+          <template x-for="r in runs" :key="r.id">
+            <option :value="r.id" x-text="runLabel(r)"></option>
+          </template>
+        </select>
+      </div>
+
       <!-- Subtask -->
       <div>
         <label class="block text-xs font-medium text-steel mb-1">{{ _("Punto di misura") }}</label>
@@ -258,6 +271,8 @@ function spcDashboard() {
     // Filter state
     selectedRecipeId: '',
     selectedSubtaskId: '',
+    selectedRunId: '',  // #58
+    runs: [],  // #58 sessioni della ricetta
     dateFrom: '',
     dateTo: '',
     subtasks: [],
@@ -281,6 +296,8 @@ function spcDashboard() {
 
     async onRecipeChange() {
       this.selectedSubtaskId = '';
+      this.selectedRunId = '';  // #58
+      this.runs = [];
       this.subtasks = [];
       this.hasData = false;
       this.summary = null;
@@ -290,6 +307,15 @@ function spcDashboard() {
 
       if (!this.selectedRecipeId) return;
 
+      // #58: sessioni della ricetta per il filtro «Sessione»
+      try {
+        const rresp = await fetch('/statistics/api/runs?recipe_id=' + this.selectedRecipeId);
+        const rdata = await rresp.json();
+        if (Array.isArray(rdata)) this.runs = rdata;
+      } catch (e) {
+        console.error('Error loading runs:', e);
+      }
+
       // Load subtasks for dropdown
       try {
         const resp = await fetch('/statistics/api/subtasks?recipe_id=' + this.selectedRecipeId);
@@ -302,6 +328,12 @@ function spcDashboard() {
       }
     },
 
+    // #58: etichetta sessione = data, stazione, operatore, lotto
+    runLabel(r) {
+      const d = r.started_at ? new Date(r.started_at + (r.started_at.endsWith('Z') ? '' : 'Z')).toLocaleString() : '';
+      return [d, r.station_name, r.operator_name, r.lot_number].filter(Boolean).join(' · ');
+    },
+
     async loadData() {
       if (!this.selectedRecipeId) return;
 
@@ -312,6 +344,7 @@ function spcDashboard() {
       const params = new URLSearchParams();
       params.set('recipe_id', this.selectedRecipeId);
       if (this.selectedSubtaskId) params.set('subtask_id', this.selectedSubtaskId);
+      if (this.selectedRunId) params.set('production_run_id', this.selectedRunId);  // #58
       if (this.dateFrom) params.set('date_from', new Date(this.dateFrom + 'T00:00:00').toISOString());
       if (this.dateTo) params.set('date_to', new Date(this.dateTo + 'T23:59:59.999').toISOString());
 
@@ -417,6 +450,7 @@ function spcDashboard() {
         const params = new URLSearchParams();
         params.set('recipe_id', this.selectedRecipeId);
         if (this.selectedSubtaskId) params.set('subtask_id', this.selectedSubtaskId);
+        if (this.selectedRunId) params.set('production_run_id', this.selectedRunId);  // #58
         if (this.dateFrom) params.set('date_from', new Date(this.dateFrom + 'T00:00:00').toISOString());
         if (this.dateTo) params.set('date_to', new Date(this.dateTo + 'T23:59:59.999').toISOString());
 

src/frontend/flask_app/tests/test_statistics.py

@@ -112,3 +112,21 @@ class TestSPCProxy:
         assert resp.status_code == 200
         data = resp.get_json()
         assert "cp" in data
+
+
+class TestRunsProxy:
+    """#58: filtro per sessione di produzione."""
+
+    def test_runs_proxy(self, logged_in_client, mock_api_client):
+        mock_api_client.get.return_value = [{"id": 5, "measurement_count": 3}]
+        resp = logged_in_client.get("/statistics/api/runs?recipe_id=7")
+        assert resp.status_code == 200
+        assert resp.get_json()[0]["id"] == 5
+        args, kwargs = mock_api_client.get.call_args
+        assert args[0] == "/api/statistics/runs"
+        assert kwargs["params"] == {"recipe_id": "7"}
+
+    def test_summary_forwards_production_run_id(self, logged_in_client, mock_api_client):
+        mock_api_client.get.return_value = {"total": 1}
+        logged_in_client.get("/statistics/api/summary?recipe_id=1&production_run_id=5")
+        assert mock_api_client.get.call_args.kwargs["params"]["production_run_id"] == "5"