Add feedback-aligned material efficiency KPI
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import sqlite3
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import sys
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from datetime import UTC, datetime
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from unittest.mock import MagicMock, patch
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import pytest
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from production_analytics.service.postgres_material import (
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PostgresMaterialSnapshotRepository,
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PostgresSettings,
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)
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START = datetime(2026, 9, 4, 10, tzinfo=UTC)
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ORDER = " K 7-123'; -- "
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SETTINGS = PostgresSettings('localhost', 5432, 'analytics', 'reader', 'secret')
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@pytest.fixture
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def database():
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# Execute the actual portable SELECT in SQLite; only adapt driver placeholders
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# and datetime transport. This tests SQL semantics without a live PostgreSQL server.
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with sqlite3.connect(':memory:') as database:
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database.execute('''CREATE TABLE material_consumption_snapshots (
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timestamp TEXT, calculation_id TEXT, machine_id TEXT, production_order TEXT,
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run_id TEXT, consumption_kg REAL
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)''')
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rows = [
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(START.isoformat(), 'calc', 'machine', ORDER, 'run1', 1000),
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(START.replace(minute=10).isoformat(), 'calc', 'machine', ORDER, 'run2', 1100),
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(START.replace(minute=4).isoformat(), 'other', 'machine', ORDER, 'run', 9999),
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(START.replace(minute=4).isoformat(), 'calc', 'other', ORDER, 'run', 9999),
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(START.replace(minute=4).isoformat(), 'calc', 'machine', ORDER.strip(), 'run', 9999),
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(START.replace(minute=4).isoformat(), 'calc', 'machine', ORDER + '-other', 'run', 9999),
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]
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database.executemany(
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'INSERT INTO material_consumption_snapshots VALUES (?,?,?,?,?,?)', rows,
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)
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yield database
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@pytest.mark.parametrize('minute, expected_minute, consumption', [
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(-1, None, None), (0, 0, 1000), (5, 0, 1000), (10, 10, 1100), (15, 10, 1100),
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])
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def test_aligned_lookup_sql(database, minute, expected_minute, consumption):
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cutoff = START.replace(minute=minute) if minute >= 0 else START.replace(hour=9, minute=59)
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driver = MagicMock()
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connection = driver.connect.return_value.__enter__.return_value
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def execute(sql, parameters):
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assert parameters == ('calc', 'machine', ORDER, cutoff)
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assert sql.count('%s') == 4
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assert ORDER not in sql
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assert 'ORDER BY timestamp DESC' in sql
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assert 'LIMIT 1' in sql
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row = database.execute(
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sql.replace('%s', '?'), (*parameters[:3], parameters[3].isoformat()),
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).fetchone()
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if row is not None:
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row = (datetime.fromisoformat(row[0]), *row[1:])
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return MagicMock(fetchone=MagicMock(return_value=row))
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connection.execute.side_effect = execute
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with patch.dict(sys.modules, psycopg=driver):
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result = PostgresMaterialSnapshotRepository(SETTINGS).latest_at_or_before(
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calculation_id='calc', machine_id='machine', production_order=ORDER, timestamp=cutoff,
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)
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if expected_minute is None:
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assert result is None
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else:
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assert result.timestamp == START.replace(minute=expected_minute)
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assert result.timestamp <= cutoff
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assert result.consumption_kg == consumption
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assert (result.calculation_id, result.machine_id, result.production_order) == (
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'calc', 'machine', ORDER,
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)
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assert result.run_id == ('run1' if expected_minute == 0 else 'run2')
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connection.execute.assert_called_once()
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driver.connect.assert_called_once_with(
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host='localhost', port=5432, dbname='analytics', user='reader', password='secret',
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connect_timeout=10, options='-c statement_timeout=10000',
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)
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driver.connect.return_value.__exit__.assert_called_once_with(None, None, None)
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def test_naive_cutoff_rejected_before_connection():
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driver = MagicMock()
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with patch.dict(sys.modules, psycopg=driver), pytest.raises(ValueError, match='timezone-aware'):
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PostgresMaterialSnapshotRepository(SETTINGS).latest_at_or_before(
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calculation_id='calc', machine_id='machine', production_order=ORDER,
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timestamp=START.replace(tzinfo=None),
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)
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driver.connect.assert_not_called()
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def test_database_failure_propagates():
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driver = MagicMock()
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driver.connect.side_effect = RuntimeError('connection unavailable')
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with patch.dict(sys.modules, psycopg=driver), pytest.raises(RuntimeError):
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PostgresMaterialSnapshotRepository(SETTINGS).latest_at_or_before(
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calculation_id='calc', machine_id='machine', production_order=ORDER, timestamp=START,
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)
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