diff --git a/packages/valory/skills/decision_maker_abci/tests/behaviours/test_sampling.py b/packages/valory/skills/decision_maker_abci/tests/behaviours/test_sampling.py
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index 000000000..804281591
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+++ b/packages/valory/skills/decision_maker_abci/tests/behaviours/test_sampling.py
@@ -0,0 +1,291 @@
+# -*- coding: utf-8 -*-
+# ------------------------------------------------------------------------------
+#
+#   Copyright 2021-2024 Valory AG
+#
+#   Licensed under the Apache License, Version 2.0 (the "License");
+#   you may not use this file except in compliance with the License.
+#   You may obtain a copy of the License at
+#
+#       http://www.apache.org/licenses/LICENSE-2.0
+#
+#   Unless required by applicable law or agreed to in writing, software
+#   distributed under the License is distributed on an "AS IS" BASIS,
+#   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#   See the License for the specific language governing permissions and
+#   limitations under the License.
+#
+# ------------------------------------------------------------------------------
+
+"""Unified test script for sampling behaviour."""
+
+import pytest
+from unittest.mock import MagicMock, patch
+from datetime import datetime
+from packages.valory.skills.decision_maker_abci.behaviours.sampling import SamplingBehaviour
+from packages.valory.skills.market_manager_abci.bets import Bet
+
+# Constants
+UNIX_DAY = 86400
+UNIX_WEEK = 604800
+
+# Mock classes to simulate required attributes
+class MockObject:
+    def __init__(self):
+        self.bets = []
+        self.synced_timestamp = 0
+
+    def processable_bet(self, bet):
+        now = self.synced_timestamp
+        within_opening_range = bet.openingTimestamp <= (now + self.params.sample_bets_closing_days * UNIX_DAY)
+        within_safe_range = now < bet.openingTimestamp + self.params.safe_voting_range
+        within_ranges = within_opening_range and within_safe_range
+        if not self.should_rebet:
+            return within_ranges
+        if not bool(bet.n_bets):
+            return False
+        lifetime = bet.openingTimestamp - now
+        t_rebetting = (lifetime // UNIX_WEEK) + UNIX_DAY
+        can_rebet = now >= bet.processed_timestamp + t_rebetting
+        if can_rebet:
+            return within_ranges
+        return False
+
+    def _sample(self):
+        available_bets = list(filter(self.processable_bet, self.bets))
+        if len(available_bets) == 0:
+            self.context.logger.warning("There were no unprocessed bets available to sample from!")
+            return None
+        idx = self._sampled_bet_idx(available_bets)
+        if self.bets[idx].scaledLiquidityMeasure == 0:
+            self.context.logger.warning("There were no unprocessed bets with non-zero liquidity!")
+            return None
+        self.bets[idx].processed_timestamp = self.synced_timestamp
+        self.bets[idx].n_bets += 1
+        self.context.logger.info(f"Sampled bet: {self.bets[idx]}")
+        return idx
+
+class MockParams:
+    def __init__(self, sample_bets_closing_days, safe_voting_range):
+        self.sample_bets_closing_days = sample_bets_closing_days
+        self.safe_voting_range = safe_voting_range
+
+class MockBet:
+    def __init__(self, openingTimestamp, n_bets=1, processed_timestamp=0, scaledLiquidityMeasure=0.0):
+        self.openingTimestamp = openingTimestamp
+        self.n_bets = n_bets
+        self.processed_timestamp = processed_timestamp
+        self.scaledLiquidityMeasure = scaledLiquidityMeasure
+
+class MockContext:
+    def __init__(self):
+        self.logger = MockLogger()
+
+class MockLogger:
+    def warning(self, msg):
+        print(f"WARNING: {msg}")
+
+    def info(self, msg):
+        print(f"INFO: {msg}")
+
+@pytest.fixture
+def setup_mock_object():
+    """Fixture to set up the mock object for testing."""
+    obj = MockObject()
+    obj.synced_timestamp = datetime.now().timestamp()
+    obj.params = MockParams(sample_bets_closing_days=5, safe_voting_range=2 * UNIX_DAY)
+    obj.should_rebet = True  # Initially set to allow rebetting
+    obj.context = MockContext()  # Mock context for logging
+    return obj
+
+@pytest.fixture
+def mock_params():
+    """Fixture for mock parameters."""
+    mock = MagicMock()
+    mock.rebet_chance = 0.5  # Set default rebet chance
+    return mock
+
+@pytest.fixture
+def mock_synced_data():
+    """Fixture for mock synchronized data."""
+    mock = MagicMock()
+    mock.most_voted_randomness = 0.1  # Set default randomness
+    return mock
+
+@pytest.fixture
+def mock_skill_context():
+    """Fixture for mock skill context."""
+    mock_context = MagicMock()
+    mock_context.logger = MagicMock()
+    return mock_context
+
+@pytest.fixture
+def behaviour(mock_params, mock_synced_data, mock_skill_context):
+    """Fixture for SamplingBehaviour."""
+    return SamplingBehaviour(
+        name="sampling_behaviour",
+        skill_context=mock_skill_context,
+        params=mock_params,
+        synchronized_data=mock_synced_data,
+    )
+
+@patch("random.random")
+def test_setup_rebet_enabled(mock_random, behaviour):
+    """Test setup when rebetting is enabled."""
+    mock_bet = Bet(
+        id="bet_1",
+        market="market_1",
+        title="Test Bet",
+        collateralToken="token_1",
+        creator="creator_1",
+        fee=0,
+        outcomeSlotCount=2,
+        outcomeTokenAmounts=[100, 200],
+        outcomeTokenMarginalPrices=[0.5, 0.5],
+        outcomes=["Outcome A", "Outcome B"],
+        scaledLiquidityMeasure=1000,
+        openingTimestamp=1600000000,
+        processed_timestamp=1599995000,
+        n_bets=1,
+    )
+
+    behaviour.bets = [mock_bet]
+    behaviour.params.rebet_chance = 0.5
+    mock_random.return_value = 0.4
+
+    behaviour.setup()
+
+    assert behaviour.should_rebet is True
+    behaviour.context.logger.info.assert_called_with("Rebetting enabled.")
+
+@patch("random.random")
+def test_setup_rebet_disabled(mock_random, behaviour):
+    """Test setup when rebetting is disabled."""
+    mock_bet = Bet(
+        id="bet_1",
+        market="market_1",
+        title="Test Bet",
+        collateralToken="token_1",
+        creator="creator_1",
+        fee=0,
+        outcomeSlotCount=2,
+        outcomeTokenAmounts=[100, 200],
+        outcomeTokenMarginalPrices=[0.5, 0.5],
+        outcomes=["Outcome A", "Outcome B"],
+        scaledLiquidityMeasure=1000,
+        openingTimestamp=1600000000,
+        processed_timestamp=1599995000,
+        n_bets=1,
+    )
+
+    behaviour.bets = [mock_bet]
+    behaviour.params.rebet_chance = 0.5
+    mock_random.return_value = 0.6
+
+    behaviour.setup()
+
+    assert behaviour.should_rebet is False
+    behaviour.context.logger.info.assert_called_with("Rebetting disabled.")
+
+def test_setup_no_previous_bets(behaviour):
+    """Test setup when there are no previous bets."""
+    behaviour.bets = []
+
+    behaviour.setup()
+
+    assert behaviour.should_rebet is False
+    behaviour.context.logger.info.assert_called_with("Rebetting disabled.")
+
+def test_within_opening_and_safe_range_no_rebet(setup_mock_object):
+    """Test bet within opening and safe range, no rebetting."""
+    obj = setup_mock_object
+    obj.should_rebet = False
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY,
+        n_bets=1,
+        processed_timestamp=obj.synced_timestamp - 2 * UNIX_DAY
+    )
+    result = obj.processable_bet(bet)
+    assert result is True
+
+def test_outside_opening_range(setup_mock_object):
+    """Test bet outside the opening range."""
+    obj = setup_mock_object
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp + 10 * UNIX_DAY,
+        n_bets=1,
+        processed_timestamp=obj.synced_timestamp - 2 * UNIX_DAY
+    )
+    result = obj.processable_bet(bet)
+    assert result is False
+
+def test_outside_safe_range(setup_mock_object):
+    """Test bet outside the safe range."""
+    obj = setup_mock_object
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp - 3 * UNIX_DAY,
+        n_bets=1,
+        processed_timestamp=obj.synced_timestamp - 2 * UNIX_DAY
+    )
+    result = obj.processable_bet(bet)
+    assert result is False
+
+def test_no_previous_bets_with_rebet(setup_mock_object):
+    """Test no previous bets exist, but rebetting is enabled."""
+    obj = setup_mock_object
+    obj.should_rebet = True
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY,
+        n_bets=0,
+        processed_timestamp=obj.synced_timestamp - 2 * UNIX_DAY
+    )
+    result = obj.processable_bet(bet)
+    assert result is False
+
+def test_valid_rebet_condition(setup_mock_object):
+    """Test valid rebet condition when rebetting is allowed."""
+    obj = setup_mock_object
+    obj.should_rebet = True
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY,
+        n_bets=1,
+        processed_timestamp=obj.synced_timestamp - 3 * UNIX_DAY
+    )
+    result = obj.processable_bet(bet)
+    assert result is True
+
+def test_rebetting_not_allowed_due_to_timing(setup_mock_object):
+    """Test rebetting not allowed due to insufficient time since last processed."""
+    obj = setup_mock_object
+    obj.should_rebet = True
+    bet = MockBet(
+        openingTimestamp=obj.synced_timestamp + 4 * UNIX_DAY,
+        n_bets=1,
+        processed_timestamp=obj.synced_timestamp - 1 * UNIX_DAY  # Recently processed
+    )
+    result = obj.processable_bet(bet)
+    assert result is False
+
+def test_sample_function(setup_mock_object):
+    """Test the _sample function."""
+    obj = setup_mock_object
+    # Set up bets for sampling
+    obj.bets = [
+        MockBet(openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY, n_bets=0, processed_timestamp=0, scaledLiquidityMeasure=0.5),
+        MockBet(openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY, n_bets=1, processed_timestamp=0, scaledLiquidityMeasure=0.3),
+        MockBet(openingTimestamp=obj.synced_timestamp + 2 * UNIX_DAY, n_bets=1, processed_timestamp=0, scaledLiquidityMeasure=0.0),  # Zero liquidity
+    ]
+    # Mock the _sampled_bet_idx method to return the first available bet's index
+    obj._sampled_bet_idx = lambda bets: 0
+
+    # Test the sampling function
+    result = obj._sample()
+    assert result is not None, "Expected a valid bet index to be sampled."
+    assert result == 0, "Expected to sample the first bet."
+    assert obj.bets[0].processed_timestamp == obj.synced_timestamp, "Processed timestamp not updated correctly."
+    assert obj.bets[0].n_bets == 1, "Number of bets not incremented correctly."
+
+    # Test when all bets have zero liquidity
+    obj.bets[0].scaledLiquidityMeasure = 0
+    result = obj._sample()
+    assert result is None, "Expected no bet to be sampled due to zero liquidity."
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