From a8469fa5d2ef7b8f6ceec3bf3474a529ee09f3b6 Mon Sep 17 00:00:00 2001
From: "V. Beck" <95294548+viktorbeck98@users.noreply.github.com>
Date: Tue, 21 Jul 2026 09:34:06 +0200
Subject: [PATCH 1/6] Revert "Implement custom add_value methods with
 add_value_fn argument in EventStabilityTracker."

---
 .gitignore                                    |  3 -
 docs/detectors/bigram_frequency.md            |  5 +-
 src/detectmatelibrary/detectors/__init__.py   |  5 +-
 .../detectors/bigram_frequency_detector.py    | 78 ++++++-------------
 .../detectors/charset_detector.py             | 22 +-----
 .../detectors/value_range_detector.py         | 47 ++++-------
 .../trackers/stability/stability_tracker.py   | 36 +++------
 .../test_bigram_frequency_detector.py         | 10 +--
 tests/test_detectors/test_charset_detector.py | 18 ++++-
 .../test_stability_tracker.py                 | 41 +++++-----
 10 files changed, 88 insertions(+), 177 deletions(-)

diff --git a/.gitignore b/.gitignore
index fea00fcb..f9e5cbf7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -203,6 +203,3 @@ CLAUDE.md
 docs/superpowers/
 docs/design/
 .claude/
-
-# Leaked local persistency state (see PersistConfig default ./state)
-/state/
diff --git a/docs/detectors/bigram_frequency.md b/docs/detectors/bigram_frequency.md
index 77fa3ce9..4e6099f9 100644
--- a/docs/detectors/bigram_frequency.md
+++ b/docs/detectors/bigram_frequency.md
@@ -19,10 +19,7 @@ detectors:
     BigramFrequencyDetector:
         method_type: bigram_frequency_detector
         auto_config: False
-        params:
-            prob_thresh: 0.05        # limit for the average probability of character pairs for which anomalies are reported.
-            default_freqs: False     # initializes the probabilities with default values from https://github.com/markbaggett/freq.
-            skip_repetitions: False  # boolean that determines whether only distinct values are used for character pair counting. This counteracts the problem of imbalanced word frequencies that distort the frequency table generated in a single aminer run.
+        params: {}
         events:
             1:
                 test:
diff --git a/src/detectmatelibrary/detectors/__init__.py b/src/detectmatelibrary/detectors/__init__.py
index 9fa88739..361db003 100644
--- a/src/detectmatelibrary/detectors/__init__.py
+++ b/src/detectmatelibrary/detectors/__init__.py
@@ -1,4 +1,3 @@
-from .bigram_frequency_detector import BigramFrequencyDetector, BigramFrequencyDetectorConfig
 from .random_detector import RandomDetector, RandomDetectorConfig
 from .new_value_detector import NewValueDetector, NewValueDetectorConfig
 from .new_event_detector import NewEventDetector, NewEventDetectorConfig
@@ -16,7 +15,5 @@
     "ValueRangeDetector",
     "ValueRangeDetectorConfig",
     "CharsetDetector",
-    "CharsetDetectorConfig",
-    "BigramFrequencyDetector",
-    "BigramFrequencyDetectorConfig"
+    "CharsetDetectorConfig"
 ]
diff --git a/src/detectmatelibrary/detectors/bigram_frequency_detector.py b/src/detectmatelibrary/detectors/bigram_frequency_detector.py
index 5b1a3ce9..327bb5f6 100644
--- a/src/detectmatelibrary/detectors/bigram_frequency_detector.py
+++ b/src/detectmatelibrary/detectors/bigram_frequency_detector.py
@@ -1,4 +1,5 @@
 from typing import Any, cast
+
 from detectmatelibrary.common._config._compile import generate_detector_config
 from detectmatelibrary.common._config._formats import EventsConfig
 from detectmatelibrary.common.detector import (
@@ -47,18 +48,12 @@ def _default_freq_tables() -> tuple[dict[str, dict[str, int]], dict[str, int]]:
 
 
 class BigramFrequencyDetectorConfig(CoreDetectorConfig):
-    """
-    @param prob_thresh limit for the average probability of character pairs for which anomalies are reported.
-    @param default_freqs initializes the probabilities with default values from
-           https://github.com/markbaggett/freq.
-    @param skip_repetitions boolean that determines whether only distinct values are used for character pair
-           counting. This counteracts the problem of imbalanced word frequencies that distort the frequency
-           table generated in a single run.
-    """
+    # documentation see: https://github.com/ernstleierzopf/logdata-anomaly-miner/blob/main/source
+    # /root/usr/lib/logdata-anomaly-miner/aminer/analysis/EntropyDetector.py
     method_type: str = "bigram_frequency_detector"
     prob_thresh: float = 0.05
     default_freqs: bool = False
-    skip_repetitions: bool = True
+    skip_repetitions: bool = False
 
     use_stable_vars: bool = True
     use_static_vars: bool = True
@@ -72,57 +67,18 @@ def __init__(
         name: str = "BigramFrequencyDetector",
         config: BigramFrequencyDetectorConfig = BigramFrequencyDetectorConfig()
     ) -> None:
+
         if isinstance(config, dict):
             config = BigramFrequencyDetectorConfig.from_dict(config, name)
 
-        def add_value(cls: SingleStabilityTracker, value: Any) -> None:
-            """Add a new value to the tracker."""
-            change = False
-            default_freq, default_total = (_default_freq_tables() if self.config.default_freqs else ({}, {}))
-            freq: dict[Any, dict[Any, int]] = cls.extra_state.get("freq", {})
-            total_freq: dict[Any, int] = cls.extra_state.get("total_freq", {})
-            probs: list[float] = []
-            for i in range(-1, len(value)):
-                first: Any = -1 if i == -1 else value[i]
-                second: Any = -1 if i == len(value) - 1 else value[i + 1]
-                prob = 0.0
-                if first in freq and second in freq[first] and total_freq.get(first, 0) > 0:
-                    prob = freq[first][second] / total_freq[first]
-                elif self.config.default_freqs:
-                    if (first in default_freq and second in default_freq[first]
-                            and default_total.get(first, 0) > 0):
-                        prob = default_freq[first][second] / default_total[first]
-                probs.append(prob)
-            if probs:
-                critical_val = sum(probs) / len(probs)
-                change = critical_val > self.config.prob_thresh or any(x == 0.0 for x in probs)
-
-            if self.config.skip_repetitions and value in cls.unique_set:
-                change = False
-            else:
-                for i in range(-1, len(value)):
-                    first = -1 if i == -1 else value[i]
-                    second = -1 if i == len(value) - 1 else value[i + 1]
-                    row = freq.setdefault(first, {})
-                    row[second] = row.get(second, 0) + 1
-                    total_freq[first] = total_freq.get(first, 0) + 1
-            cls.unique_set.add(value)
-            cls.change_series.append(change)
-        self.add_value_fn = add_value
-
         super().__init__(name=name, buffer_mode=BufferMode.NO_BUF, config=config)
         self.config: BigramFrequencyDetectorConfig  # type narrowing for IDE
-        kwargs = {"add_value_fn": self.__class__.__name__, "detector_config": self.config.to_dict(
-            method_id="BigramFrequencyDetector")}
         self.persistency = EventPersistency(
             event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
-
         )
-        # auto config checks if individual variables are stable
+        # auto config checks if individual variables are stable to select combos from
         self.auto_conf_persistency = EventPersistency(
-            event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
+            event_data_class=EventStabilityTracker
         )
         self._register_persistency(self.persistency)
 
@@ -143,13 +99,17 @@ def train(self, input_: ParserSchema) -> None:  # type: ignore
             named_variables=configured_variables,
         )
         if configured_variables:
-            known_events = cast(dict[int | str, EventStabilityTracker], self.persistency.get_events_data())
+            known_events = cast(
+                dict[int | str, EventStabilityTracker], self.persistency.get_events_data()
+            )
             self.train_helper(configured_variables, current_event_id, known_events, pre_unique)
 
         if self.config.global_instances:
             global_vars = get_global_variables(input_, self.config.global_instances)
             if global_vars:
-                pre_unique_global = self._snapshot_unique_sets(known_events.get(GLOBAL_EVENT_ID), global_vars)
+                pre_unique_global = self._snapshot_unique_sets(
+                    known_events.get(GLOBAL_EVENT_ID), global_vars
+                )
                 self.persistency.ingest_event(
                     event_id=GLOBAL_EVENT_ID,
                     event_template=input_["template"],
@@ -215,7 +175,9 @@ def detect(
         configured_variables = get_configured_variables(input_, self.config.events)
         overall_score = 0.0
         current_event_id = input_["EventID"]
-        known_events = cast(dict[int | str, EventStabilityTracker], self.persistency.get_events_data())
+        known_events = cast(
+            dict[int | str, EventStabilityTracker], self.persistency.get_events_data()
+        )
         if current_event_id in known_events:
             overall_score = self.detect_helper(
                 alerts, configured_variables, current_event_id, known_events, overall_score
@@ -241,8 +203,12 @@ def detect_helper(
         overall_score: float,
     ) -> float:
         anomaly = False
-        default_freq, default_total = (_default_freq_tables() if self.config.default_freqs else ({}, {}))
-        var_trackers = cast(dict[str, SingleStabilityTracker], known_events[event_id].get_data())
+        default_freq, default_total = (
+            _default_freq_tables() if self.config.default_freqs else ({}, {})
+        )
+        var_trackers = cast(
+            dict[str, SingleStabilityTracker], known_events[event_id].get_data()
+        )
         for var_name, single_tracker in var_trackers.items():
             value: Any = variables.get(var_name)
             if value is None:
diff --git a/src/detectmatelibrary/detectors/charset_detector.py b/src/detectmatelibrary/detectors/charset_detector.py
index bf997d7a..2d94fa12 100644
--- a/src/detectmatelibrary/detectors/charset_detector.py
+++ b/src/detectmatelibrary/detectors/charset_detector.py
@@ -1,4 +1,3 @@
-from typing import Any
 from detectmatelibrary.common._config._compile import generate_detector_config
 from detectmatelibrary.common._config._formats import EventsConfig
 from detectmatelibrary.common.detector import (
@@ -9,8 +8,7 @@
     validate_config_coverage,
 )
 from detectmatelibrary.utils.persistency.event_data_structures.trackers.stability.stability_tracker import (
-    EventStabilityTracker,
-    SingleStabilityTracker
+    EventStabilityTracker
 )
 from detectmatelibrary.utils.persistency.event_persistency import EventPersistency
 from detectmatelibrary.utils.data_buffer import BufferMode
@@ -39,26 +37,14 @@ def __init__(
         if isinstance(config, dict):
             config = CharsetDetectorConfig.from_dict(config, name)
 
-        def add_value(cls: SingleStabilityTracker, value: Any) -> None:
-            """Add a new value to the tracker."""
-            before = len(cls.unique_set)
-            cls.unique_set.update(value)
-            cls.change_series.append(len(cls.unique_set) > before)
-        self.add_value_fn = add_value
-
         super().__init__(name=name, buffer_mode=BufferMode.NO_BUF, config=config)
         self.config: CharsetDetectorConfig  # type narrowing for IDE
-        kwargs = {"add_value_fn": self.__class__.__name__, "detector_config": self.config.to_dict(
-            method_id="CharsetDetector")}
         self.persistency = EventPersistency(
             event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
-        )
-        # auto config checks if individual variables are stable to select characters from
-        self.auto_conf_persistency = EventPersistency(
-            event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
+            event_data_kwargs={"expand_value": True},
         )
+        # auto config checks if individual variables are stable to select combos from
+        self.auto_conf_persistency = EventPersistency(event_data_class=EventStabilityTracker)
         self._register_persistency(self.persistency)
 
     def train(self, input_: ParserSchema) -> None:  # type: ignore
diff --git a/src/detectmatelibrary/detectors/value_range_detector.py b/src/detectmatelibrary/detectors/value_range_detector.py
index e487c227..c0946f3e 100644
--- a/src/detectmatelibrary/detectors/value_range_detector.py
+++ b/src/detectmatelibrary/detectors/value_range_detector.py
@@ -8,8 +8,7 @@
     validate_config_coverage,
 )
 from detectmatelibrary.utils.persistency.event_data_structures.trackers.stability.stability_tracker import (
-    EventStabilityTracker,
-    SingleStabilityTracker
+    EventStabilityTracker
 )
 from detectmatelibrary.utils.persistency.event_persistency import EventPersistency
 from detectmatelibrary.utils.data_buffer import BufferMode
@@ -18,7 +17,6 @@
 from typing_extensions import override
 from detectmatelibrary.tools.logging import logger
 from typing import Dict, List, Any
-import sys
 
 
 class ValueRangeDetectorConfig(CoreDetectorConfig):
@@ -41,34 +39,14 @@ def __init__(
         if isinstance(config, dict):
             config = ValueRangeDetectorConfig.from_dict(config, name)
 
-        def add_value(cls: SingleStabilityTracker, value: int | float) -> None:
-            """Add a new value to the tracker."""
-            try:
-                value = float(value)
-                value = int(value) if value.is_integer() else value
-            except ValueError:
-                return
-            if len(cls.unique_set) > 0:
-                min_ = min(cls.unique_set)
-                max_ = max(cls.unique_set)
-                cls.change_series.append(value < min_ or value > max_)
-            else:
-                cls.change_series.append(True)
-            cls.unique_set.add(value)
-        self.add_value_fn = add_value
-
         super().__init__(name=name, buffer_mode=BufferMode.NO_BUF, config=config)
         self.config: ValueRangeDetectorConfig  # type narrowing for IDE
-        kwargs = {"add_value_fn": self.__class__.__name__, "detector_config": self.config.to_dict(
-            method_id="ValueRangeDetector")}
         self.persistency = EventPersistency(
             event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
         )
-        # auto config checks if individual variables are stable to select value ranges from
+        # auto config checks if individual variables are stable to select combos from
         self.auto_conf_persistency = EventPersistency(
-            event_data_class=EventStabilityTracker,
-            event_data_kwargs=kwargs
+            event_data_class=EventStabilityTracker
         )
 
     def cast_val_to_numeric(self, configured_variables: Dict[str, Any], k: str, remove: List[str],
@@ -76,16 +54,17 @@ def cast_val_to_numeric(self, configured_variables: Dict[str, Any], k: str, remo
         v = configured_variables[k]
         if not isinstance(v, (int, float)):
             try:
-                configured_variables[k] = float(v)
-                configured_variables[k] = int(configured_variables[k])\
-                    if configured_variables[k].is_integer() else configured_variables[k]
+                configured_variables[k] = int(v)
             except ValueError:
-                logger.error(f"Non-numeric value '{v}' appeared in {stage} of {self.__class__.__name__}"
-                             f" with the name {self.name}.")
-                if not self.config.ignore_non_numerical_val:
-                    sys.exit(1)
-                remove.append(k)
-                return False
+                try:
+                    configured_variables[k] = float(v)
+                except ValueError:
+                    logger.error(f"Non-numeric value '{v}' appeared in {stage} of {self.__class__.__name__}"
+                                 f" with the name {self.name}.")
+                    if not self.config.ignore_non_numerical_val:
+                        exit(1)
+                    remove.append(k)
+                    return False
         return True
 
     def train(self, input_: ParserSchema) -> None:  # type: ignore
diff --git a/src/detectmatelibrary/utils/persistency/event_data_structures/trackers/stability/stability_tracker.py b/src/detectmatelibrary/utils/persistency/event_data_structures/trackers/stability/stability_tracker.py
index c32ff8ac..8184cc0a 100644
--- a/src/detectmatelibrary/utils/persistency/event_data_structures/trackers/stability/stability_tracker.py
+++ b/src/detectmatelibrary/utils/persistency/event_data_structures/trackers/stability/stability_tracker.py
@@ -1,44 +1,34 @@
 """Tracks whether a variable is converging to a constant value."""
 
-import importlib
-from typing import Any, Callable, Dict, List, Literal, Set, TYPE_CHECKING
+from typing import Any, Callable, Dict, List, Literal, Set
+
 from detectmatelibrary.utils.preview_helpers import list_preview_str
 from detectmatelibrary.utils.persistency.rle_list import RLEList
+
 from ..base import SingleTracker, MultiTracker, EventTracker, Classification
 from .stability_classifier import StabilityClassifier
 
-if TYPE_CHECKING:
-    from detectmatelibrary.common.detector import CoreDetectorConfig
-
 
 class SingleStabilityTracker(SingleTracker):
     """Tracks stability of a single feature."""
 
-    def __init__(self, min_samples: int = 3, add_value_fn: str = "default",
-                 detector_config: "CoreDetectorConfig | None" = None) -> None:
+    def __init__(self, min_samples: int = 3, expand_value: bool = False) -> None:
         self.min_samples = min_samples
+        self.expand_value = expand_value
         self.change_series: RLEList[bool] = RLEList()
         self.unique_set: Set[Any] = set()
         self.stability_classifier: StabilityClassifier = StabilityClassifier(
             segment_thresholds=[1.1, 0.3, 0.1, 0.01],
         )
+        self._accum = set.update if expand_value else set.add
         # Opaque slot for detectors to stash per-variable model state that
         # must survive save/load. Schema-free; the tracker does not interpret it.
         self.extra_state: Dict[str, Any] = {}
-        self.add_value_fn = add_value_fn
-        self.detector_config = detector_config
-        if add_value_fn != "default":
-            detector = getattr(importlib.import_module("detectmatelibrary.detectors"), add_value_fn)
-            if detector_config is not None:
-                detector = detector(config=detector_config)
-            else:
-                detector = detector()
-            self.add_value = detector.add_value_fn.__get__(self, type(self))  # type: ignore[method-assign]
 
     def add_value(self, value: Any) -> None:
         """Add a new value to the tracker."""
         before = len(self.unique_set)
-        self.unique_set.add(value)
+        self._accum(self.unique_set, value)
         self.change_series.append(len(self.unique_set) > before)
 
     def classify(self) -> Classification:
@@ -79,8 +69,7 @@ def to_state(self) -> Dict[str, Any]:
             "type": self.__class__.__name__,
             "module": self.__class__.__module__,
             "min_samples": self.min_samples,
-            "add_value_fn": self.add_value_fn,
-            "detector_config": self.detector_config,
+            "expand_value": self.expand_value,
             "runs": self.change_series.runs(),
             "unique_set": list(self.unique_set),
             "segment_thresholds": self.stability_classifier.segment_threshs,
@@ -92,8 +81,7 @@ def from_state(cls, state: Dict[str, Any]) -> "SingleStabilityTracker":
         """Restore tracker from a state dict produced by to_state()."""
         tracker = cls(
             min_samples=state["min_samples"],
-            add_value_fn=state["add_value_fn"],
-            detector_config=state["detector_config"]
+            expand_value=state.get("expand_value", False),
         )
         runs = [(bool(r[0]), int(r[1])) for r in state["runs"]]
         tracker.change_series._runs = runs
@@ -143,14 +131,12 @@ class EventStabilityTracker(EventTracker):
     def __init__(
         self,
         converter_function: Callable[[Any], Any] = lambda x: x,
-        add_value_fn: str = "default",
-        detector_config: "CoreDetectorConfig | None" = None
-
+        expand_value: bool = False,
     ) -> None:
         self.multi_tracker: MultiStabilityTracker  # for type hinting
 
         def make_tracker() -> SingleStabilityTracker:
-            return SingleStabilityTracker(add_value_fn=add_value_fn, detector_config=detector_config)
+            return SingleStabilityTracker(expand_value=expand_value)
 
         # Mirror class identity onto the closure so dump()/load() can resolve
         # the underlying SingleStabilityTracker via its module + qualname.
diff --git a/tests/test_detectors/test_bigram_frequency_detector.py b/tests/test_detectors/test_bigram_frequency_detector.py
index 59bf7e1b..19b66025 100644
--- a/tests/test_detectors/test_bigram_frequency_detector.py
+++ b/tests/test_detectors/test_bigram_frequency_detector.py
@@ -238,11 +238,7 @@ class TestBigramFrequencyDetectorEndToEnd:
 
     def test_audit_log_anomalies(self):
         parser = MatcherParser(config=_PARSER_CONFIG)
-        detector = BigramFrequencyDetector(
-            config=BigramFrequencyDetectorConfig(
-                skip_repetitions=False
-            )
-        )
+        detector = BigramFrequencyDetector()
 
         logs = list(From.log(parser, in_path=AUDIT_LOG, do_process=True))
 
@@ -259,7 +255,7 @@ def test_audit_log_anomalies(self):
             if detector.detect(log, output_=output):
                 detected_ids.add(log["logID"])
 
-        assert detected_ids == {'1859', '1860', '1861', '1862'}
+        assert detected_ids == {'1859', '1860', '1861', '1862', '1864', '1865', '1866', '1867'}
 
 
 class TestBigramFrequencyDetectorAutoConfig:
@@ -268,7 +264,7 @@ class TestBigramFrequencyDetectorAutoConfig:
 
     def test_audit_log_anomalies_via_process(self):
         parser = MatcherParser(config=_PARSER_CONFIG)
-        detector = BigramFrequencyDetector(config=_SKIP_REPETITIONS_CONFIG, name="MultipleDetector")
+        detector = BigramFrequencyDetector()
 
         logs = list(From.log(parser, in_path=AUDIT_LOG, do_process=True))
 
diff --git a/tests/test_detectors/test_charset_detector.py b/tests/test_detectors/test_charset_detector.py
index 3d474b40..bc08d208 100644
--- a/tests/test_detectors/test_charset_detector.py
+++ b/tests/test_detectors/test_charset_detector.py
@@ -83,7 +83,7 @@ def test_custom_config_initialization(self):
         assert hasattr(detector, 'persistency')
         assert isinstance(detector.persistency.events_data, dict)
 
-    def test_persistency_uses_custom_add_value(self):
+    def test_persistency_uses_expand_value(self):
         """Main persistency must accumulate characters; auto_conf must not."""
         detector = CharsetDetector()
         # Ingest a sample so a SingleStabilityTracker is materialized
@@ -93,8 +93,20 @@ def test_persistency_uses_custom_add_value(self):
             named_variables={"v": "hello"},
         )
         single = detector.persistency.get_event_data(1)["v"]
+        assert single.expand_value is True
         assert single.unique_set == {"h", "e", "l", "o"}
 
+    def test_auto_conf_persistency_does_not_expand(self):
+        detector = CharsetDetector()
+        detector.auto_conf_persistency.ingest_event(
+            event_id=1,
+            event_template="t",
+            named_variables={"v": "hello"},
+        )
+        single = detector.auto_conf_persistency.get_event_data(1)["v"]
+        assert single.expand_value is False
+        assert single.unique_set == {"hello"}
+
     def test_register_persistency_was_called(self):
         """Main persistency should be registered so persist/load round-trips
         work."""
@@ -392,7 +404,7 @@ def test_persist_flag_survives_set_configuration(self):
 
         detector = CharsetDetector()
         # Simulate persist being enabled by an earlier config load
-        detector.config.persist = PersistConfig(path="memory://persist_flag/state")
+        detector.config.persist = PersistConfig(path="./state")
 
         # Feed configure() with a couple of stable-variable samples
         for _ in range(5):
@@ -407,4 +419,4 @@ def test_persist_flag_survives_set_configuration(self):
         detector.set_configuration()
 
         assert detector.config.persist is not None
-        assert detector.config.persist.path == "memory://persist_flag/state"
+        assert detector.config.persist.path == "./state"
diff --git a/tests/test_persistency/test_stability_tracker.py b/tests/test_persistency/test_stability_tracker.py
index 894c9888..d6aa34a6 100644
--- a/tests/test_persistency/test_stability_tracker.py
+++ b/tests/test_persistency/test_stability_tracker.py
@@ -5,32 +5,32 @@
 
 
 class TestSingleStabilityTrackerExpandValue:
-    def test_default_add_value(self):
+    def test_default_add_stores_whole_value(self):
         tracker = SingleStabilityTracker()
         tracker.add_value("hello")
         tracker.add_value("world")
         assert tracker.unique_set == {"hello", "world"}
 
-    def test_custom_add_value(self):
-        tracker = SingleStabilityTracker(add_value_fn="CharsetDetector")
+    def test_expand_value_unions_characters(self):
+        tracker = SingleStabilityTracker(expand_value=True)
         tracker.add_value("hello")
         tracker.add_value("world")
         assert tracker.unique_set == {"h", "e", "l", "o", "w", "r", "d"}
 
     def test_expand_value_change_series_tracks_growth(self):
-        tracker = SingleStabilityTracker(add_value_fn="CharsetDetector")
+        tracker = SingleStabilityTracker(expand_value=True)
         tracker.add_value("ab")           # adds {a, b}, change=True
         tracker.add_value("ba")           # adds nothing new, change=False
         tracker.add_value("c")            # adds {c}, change=True
         assert list(tracker.change_series) == [True, False, True]
 
     def test_expand_value_round_trip(self):
-        tracker = SingleStabilityTracker(add_value_fn="CharsetDetector")
+        tracker = SingleStabilityTracker(expand_value=True)
         tracker.add_value("hello")
         tracker.add_value("world")
         state = tracker.to_state()
         restored = SingleStabilityTracker.from_state(state)
-        assert restored.add_value_fn == "CharsetDetector"
+        assert restored.expand_value is True
         assert restored.unique_set == {"h", "e", "l", "o", "w", "r", "d"}
         # subsequent ingestion still unions characters
         restored.add_value("xy")
@@ -40,8 +40,9 @@ def test_legacy_state_without_expand_value_defaults_false(self):
         tracker = SingleStabilityTracker()
         tracker.add_value("hello")
         state = tracker.to_state()
+        state.pop("expand_value", None)  # simulate pre-flag snapshot
         restored = SingleStabilityTracker.from_state(state)
-        assert restored.add_value_fn == "default"
+        assert restored.expand_value is False
         assert restored.unique_set == {"hello"}
 
 
@@ -50,51 +51,45 @@ def test_default_event_tracker_uses_add_semantics(self):
         event_tracker = EventStabilityTracker()
         event_tracker.add_data({"var1": "hello"})
         single = event_tracker.get_data()["var1"]
-        assert single.add_value_fn == "default"
-        assert single.detector_config is None
+        assert single.expand_value is False
         assert single.unique_set == {"hello"}
 
     def test_expand_value_propagates_to_per_variable_trackers(self):
-        event_tracker = EventStabilityTracker(add_value_fn="CharsetDetector")
+        event_tracker = EventStabilityTracker(expand_value=True)
         event_tracker.add_data({"var1": "hello"})
         event_tracker.add_data({"var1": "world"})
         single = event_tracker.get_data()["var1"]
-        assert single.add_value_fn == "CharsetDetector"
-        assert single.detector_config is None
+        assert single.expand_value is True
         assert single.unique_set == {"h", "e", "l", "o", "w", "r", "d"}
 
     def test_each_new_variable_gets_its_own_configured_tracker(self):
-        event_tracker = EventStabilityTracker(add_value_fn="CharsetDetector")
+        event_tracker = EventStabilityTracker(expand_value=True)
         event_tracker.add_data({"a": "ab", "b": "cd"})
         a = event_tracker.get_data()["a"]
         b = event_tracker.get_data()["b"]
-        assert a.add_value_fn == "CharsetDetector"
-        assert b.add_value_fn == "CharsetDetector"
-        assert a.detector_config is None
-        assert b.detector_config is None
+        assert a.expand_value is True
+        assert b.expand_value is True
         assert a.unique_set == {"a", "b"}
         assert b.unique_set == {"c", "d"}
 
     def test_post_load_new_variable_honors_expand_value(self):
         """After dump/load, a variable that wasn't present at save time should
         still use expand_value semantics when first ingested."""
-        original = EventStabilityTracker(add_value_fn="CharsetDetector")
+        original = EventStabilityTracker(expand_value=True)
         original.add_data({"known": "abc"})
         blob = original.dump()
-        restored = EventStabilityTracker.load(blob, add_value_fn="CharsetDetector")
+        restored = EventStabilityTracker.load(blob, expand_value=True)
 
         # Ingest a brand-new variable not present in the saved state
         restored.add_data({"known": "de", "newvar": "xy"})
 
         new_tracker = restored.get_data()["newvar"]
-        assert new_tracker.add_value_fn == "CharsetDetector"
-        assert new_tracker.detector_config is None
+        assert new_tracker.expand_value is True
         assert new_tracker.unique_set == {"x", "y"}
 
         # And the existing variable continues to expand correctly
         known_tracker = restored.get_data()["known"]
-        assert known_tracker.add_value_fn == "CharsetDetector"
-        assert known_tracker.detector_config is None
+        assert known_tracker.expand_value is True
         assert {"a", "b", "c", "d", "e"} <= known_tracker.unique_set
 
 

From 48bfbf87528bd183c921b87c535b24a3be29fecc Mon Sep 17 00:00:00 2001
From: Leonhard Kaufmann <leonhard.kaufmann4@gmail.com>
Date: Tue, 21 Jul 2026 15:52:48 +0200
Subject: [PATCH 2/6] start new_sequence_detector

---
 .../detectors/new_sequence_detector.py        | 26 +++++++++++++++++++
 1 file changed, 26 insertions(+)
 create mode 100644 src/detectmatelibrary/detectors/new_sequence_detector.py

diff --git a/src/detectmatelibrary/detectors/new_sequence_detector.py b/src/detectmatelibrary/detectors/new_sequence_detector.py
new file mode 100644
index 00000000..9cda5a55
--- /dev/null
+++ b/src/detectmatelibrary/detectors/new_sequence_detector.py
@@ -0,0 +1,26 @@
+from collections import deque
+from typing import Sequence
+
+from detectmatelibrary.common._config._compile import generate_detector_config
+from detectmatelibrary.common.detector import CoreDetectorConfig, CoreDetector
+from detectmatelibrary.utils import persistency
+from detectmatelibrary.utils.data_buffer import BufferMode
+from detectmatelibrary.schemas import ParserSchema, DetectorSchema
+
+_SEQUENCE_SEPARATOR = "\x1f"
+
+def _encode_sequence(sequence: Sequence[int]) -> str:
+    return _SEQUENCE_SEPARATOR.join(str(event_id) for event_id in sequence)
+
+class NewSequenceDetectorConfig(CoreDetectorConfig):
+    method_type: str = "new_sequence_detector"
+    max_sequence_length: int = 5
+
+class NewSequenceDetector(CoreDetector):
+    def __init__(
+            self,
+            name: str = "NewSequenceDetector",
+            config: NewSequenceDetectorConfig = NewSequenceDetectorConfig()
+    ) -> None:
+        if isinstance(config, dict):
+            config = NewSequenceDetectorConfig.from_dict(config,name)
\ No newline at end of file

From 17001304ac543792b60906008744f6333d3228bd Mon Sep 17 00:00:00 2001
From: Leonhard Kaufmann <leonhard.kaufmann4@gmail.com>
Date: Tue, 28 Jul 2026 09:52:30 +0200
Subject: [PATCH 3/6] add new_sequence_detector

---
 pyproject.toml                                |   2 +
 .../detectors/new_sequence_detector.py        |  67 +-
 uv.lock                                       | 783 ++++++++++++++++++
 3 files changed, 850 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 904edf5f..800e1ab8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,6 +17,7 @@ dependencies = [
     "msgpack>=1.0.0",
     "fsspec>=2024.1.0",
     "pyarrow>=24.0.0",
+    "matplotlib>=3.11.1",
 ]
 
 [dependency-groups]
@@ -27,6 +28,7 @@ dev = [
     "pytest>=8.4.2",
     "pytest-cov>=6.2.1",
     "detectmatelibrary[full]",
+    "ipykernel>=7.3.0",
 ]
 
 [project.optional-dependencies]
diff --git a/src/detectmatelibrary/detectors/new_sequence_detector.py b/src/detectmatelibrary/detectors/new_sequence_detector.py
index 9cda5a55..133eeb76 100644
--- a/src/detectmatelibrary/detectors/new_sequence_detector.py
+++ b/src/detectmatelibrary/detectors/new_sequence_detector.py
@@ -14,7 +14,7 @@ def _encode_sequence(sequence: Sequence[int]) -> str:
 
 class NewSequenceDetectorConfig(CoreDetectorConfig):
     method_type: str = "new_sequence_detector"
-    max_sequence_length: int = 5
+    max_sequence_length: int = 3
 
 class NewSequenceDetector(CoreDetector):
     def __init__(
@@ -23,4 +23,67 @@ def __init__(
             config: NewSequenceDetectorConfig = NewSequenceDetectorConfig()
     ) -> None:
         if isinstance(config, dict):
-            config = NewSequenceDetectorConfig.from_dict(config,name)
\ No newline at end of file
+            config = NewSequenceDetectorConfig.from_dict(config,name)
+        
+        super().__init__(name=name, buffer_mode=BufferMode.NO_BUF, config=config)
+        self.config: NewSequenceDetectorConfig
+        self._window: deque[int] = deque(maxlen=self.config.max_sequence_length)
+        self.persistency = persistency.EventPersistency(
+            event_data_class=persistency.EventStabilityTracker,
+        )
+        self.auto_conf_persistency = persistency.EventPersistency(
+            event_data_class=persistency.EventStabilityTracker
+        )
+        self._register_persistency(self.persistency)
+
+
+    def train(self, input_: ParserSchema) -> None:  # type: ignore
+        """Train the detector by learning EventID sequences from the input data."""
+        self._window.append(input_["EventID"])
+        if len(self._window) < self.config.max_sequence_length:
+            return
+        self.persistency.ingest_event(
+            event_id=_encode_sequence(self._window),
+            event_template=input_["template"]
+        )
+
+    def detect(self, input_: ParserSchema, output_: DetectorSchema) -> bool:
+        self._window.append(input_["EventID"])
+        if len(self._window) < self.config.max_sequence_length:
+            return False
+
+        if _encode_sequence(self._window) not in self.persistency.get_events_seen():
+            output_["score"] = 1.0
+            output_["description"] = f"{self.name} detects unknown EventID sequences as anomalies."
+            output_["alertsObtain"].update({
+                f"Sequence {tuple(self._window)}": f"Unknown sequence: {tuple(self._window)}"
+            })
+            return True
+        return False
+
+    def configure(self, input_: ParserSchema) -> None:  # type: ignore
+        self.auto_conf_persistency.ingest_event(
+        event_id=input_["EventID"],
+        event_template=input_["template"]
+    )
+
+    def set_configuration(self) -> None:
+        old_persist = self.config.persist
+        config_dict = generate_detector_config(
+            variable_selection={},
+            detector_name=self.name,
+            method_type=self.config.method_type,
+            max_sequence_length=self.config.max_sequence_length,
+        )
+        self.config = NewSequenceDetectorConfig.from_dict(config_dict, self.name)
+        self.config.persist = old_persist
+        self._window = deque(self._window, maxlen=self.config.max_sequence_length)
+
+    def reset_window(self) -> None:
+        self._window.clear()
+
+    def get_known_sequences(self) -> set[tuple[str, ...]]:
+        return {
+            tuple(encoded.split(_SEQUENCE_SEPARATOR))
+            for encoded in self.persistency.get_events_seen()
+        }
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index d2ccd2b3..86348d4d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -32,6 +32,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b0/7b/90df4a0a816d98d6ea26f559d87836d494a2cf1fcf063be67df50a7bcc30/anyio-4.14.1-py3-none-any.whl", hash = "sha256:4e5533c5b8ff0a24f5d7a176cbe6877129cd183893f66b537f8f227d10527d72", size = 124875, upload-time = "2026-06-24T20:56:04.413Z" },
 ]
 
+[[package]]
+name = "appnope"
+version = "0.1.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" },
+]
+
+[[package]]
+name = "asttokens"
+version = "3.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/25/1e/faf0f247f6f881b98fc4d6d07e14085cb89d13665084e6d6ac1dc2c03d0b/asttokens-3.0.2.tar.gz", hash = "sha256:3ecdbd8f2cc195f53ccada3a613538bb5f9ef6f6869129f13e03c30a677b8fe2", size = 63136, upload-time = "2026-07-12T03:31:49.084Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d4/2b/04b8a15f3a1c77bc79ddf5c73875327f34b4fa75982df2b76e45e402d364/asttokens-3.0.2-py3-none-any.whl", hash = "sha256:9da13157f5b28becde0bd374fc677dcd3c290614264eff096f167c469cd9f933", size = 28702, upload-time = "2026-07-12T03:31:47.542Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2026.6.17"
@@ -41,6 +59,91 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ef/2f/c5464532e965badff2f4c4c1a3a83f5697f0d7c407ed0cda44aaa99bb451/certifi-2026.6.17-py3-none-any.whl", hash = "sha256:2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db", size = 133289, upload-time = "2026-06-17T10:31:06.348Z" },
 ]
 
+[[package]]
+name = "cffi"
+version = "2.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/57/5f/ff100cae70ebe9d8df1c01a00e510e45d9adb5c1fdda84791b199141de97/cffi-2.1.0.tar.gz", hash = "sha256:efc1cdd798b1aaf39b4610bba7aad28c9bea9b910f25c784ccf9ec1fa719d1f9", size = 531036, upload-time = "2026-07-06T21:34:30.382Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1e/85/990925db5df586ec90beb97529c853497e7f85ba0234830447faf41c3057/cffi-2.1.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:df2b82571a1b30f58a87bf4e5a9e78d2b1eff6c6ce8fd3aa3757221f93f0863f", size = 184829, upload-time = "2026-07-06T21:32:44.324Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/92/e7bb136ad6b5352603732cf907ef862ca103f20f2031c1735a46300c20c9/cffi-2.1.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:78474632761faa0fb96f30b1c928c84ebcf68713cbb80d15bab09dfe61640fde", size = 184728, upload-time = "2026-07-06T21:32:45.683Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/c0/d1ec30ffb370f748f2fb54425972bfef9871e0132e82fb589c46b6676049/cffi-2.1.0-cp312-cp312-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:5972433ad71a9e46516584ef60a0fda12d9dc459938d1539c3ddecf9bdc1368d", size = 214815, upload-time = "2026-07-06T21:32:48.557Z" },
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+    { url = "https://files.pythonhosted.org/packages/b6/2b/56b9aff361d7f1ab728a805ec7d7ea835f8807afa9f5cc690ea0e630efb9/tornado-6.5.7-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:7778b30bef919231265e91c69963ce0f49a1e9c07ac900bbe75b19ce2575ba92", size = 450578, upload-time = "2026-06-08T17:34:43.787Z" },
+    { url = "https://files.pythonhosted.org/packages/02/30/a7444fb23aa76860a14198fab96ac79f1866b0a6e19e26c4381b0938e50f/tornado-6.5.7-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e726f0c75da7726eec023aa62751ff8878bd2737e34fbdd33b1ae5897d2200f5", size = 449985, upload-time = "2026-06-08T17:34:45.326Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/42/5f0e56c01e8d9d36f4e23f367b85ae6cae0c1ecddd5e6977d8388ad27488/tornado-6.5.7-cp39-abi3-win32.whl", hash = "sha256:f8de3bf12d3efdd0cbe7c8887868198f8a91415e3f29fcf258d9b8eb7b1d9ae4", size = 451047, upload-time = "2026-06-08T17:34:46.784Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/a4/b393076ffb21b469eec5b328a0534cf03a3b90bfc6b1f09507cdd075d938/tornado-6.5.7-cp39-abi3-win_amd64.whl", hash = "sha256:de942f843533a039ef9fa3d9c88c7cd8a7c94553fb5ad0154270989b3d99a2c4", size = 451485, upload-time = "2026-06-08T17:34:48.248Z" },
+    { url = "https://files.pythonhosted.org/packages/71/2e/7b1c769803121b809112cf9a00681c472eae1d80e32d7ec0e0bd61d0d0e1/tornado-6.5.7-cp39-abi3-win_arm64.whl", hash = "sha256:ff934fce95643af5f11efdae618eaa73d469dc588641e5c8d19295a0c65c4796", size = 450506, upload-time = "2026-06-08T17:34:49.702Z" },
+]
+
 [[package]]
 name = "tqdm"
 version = "4.68.4"
@@ -1590,6 +2355,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/22/2a/5e5e750890ada51017d18d0d4c30da696e5b5bd3180947729927628fc3cb/tqdm-4.68.4-py3-none-any.whl", hash = "sha256:5168118b2368f48c561afda8020fd79195b1bdb0bdf8086b88442c267a315dc2", size = 676612, upload-time = "2026-07-07T09:58:16.256Z" },
 ]
 
+[[package]]
+name = "traitlets"
+version = "5.15.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/a9/a2584b8313b89f94869ddb3c4074617a691de1812a614d2d50e32ca5a7a6/traitlets-5.15.1.tar.gz", hash = "sha256:7b1c07854fe25acb39e009bae49f11b79ff6cbb2f27999104e9110e7a6b53722", size = 163344, upload-time = "2026-06-03T12:26:06.181Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/96/8d/1080ee4c231f361b6ce4470d556c8c435b67c7e0753aaa641497ee92f88b/traitlets-5.15.1-py3-none-any.whl", hash = "sha256:770a53705f84b81ac107e83a1b3328ff2dae16094d8fc3cfc004e4b22dfd8e92", size = 85858, upload-time = "2026-06-03T12:26:04.395Z" },
+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.16.0"
@@ -1661,3 +2435,12 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/db/d9/c495884c6e548fce18a8f40568ff120bc3a4b7b99813081c8ac0c936fa64/watchdog-6.0.0-py3-none-win_amd64.whl", hash = "sha256:cbafb470cf848d93b5d013e2ecb245d4aa1c8fd0504e863ccefa32445359d680", size = 79070, upload-time = "2024-11-01T14:07:10.686Z" },
     { url = "https://files.pythonhosted.org/packages/33/e8/e40370e6d74ddba47f002a32919d91310d6074130fe4e17dabcafc15cbf1/watchdog-6.0.0-py3-none-win_ia64.whl", hash = "sha256:a1914259fa9e1454315171103c6a30961236f508b9b623eae470268bbcc6a22f", size = 79067, upload-time = "2024-11-01T14:07:11.845Z" },
 ]
+
+[[package]]
+name = "wcwidth"
+version = "0.8.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/34/74/c6428f875774288bec1396f5bfcbc2d925700a4dad61727fd5f2b12f249d/wcwidth-0.8.2.tar.gz", hash = "sha256:91fbef97204b96a3d4d421609b80340b760cf33e26da123ff243d76b1fda8dda", size = 1466253, upload-time = "2026-06-29T18:11:11.601Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/96/42/3e5985a0a7e57de470b320c6d6a1a67c844f6737a587f3d44dd13d1819e7/wcwidth-0.8.2-py3-none-any.whl", hash = "sha256:d63947694a0539a1d51e01eda7caf800c291020e6cdd7e28ad7b14dd33ad4f85", size = 323166, upload-time = "2026-06-29T18:11:09.888Z" },
+]

From 57252556857b8ebfe553c91f52429892a3bdd7af Mon Sep 17 00:00:00 2001
From: Leonhard Kaufmann <leonhard.kaufmann4@gmail.com>
Date: Tue, 28 Jul 2026 15:56:16 +0200
Subject: [PATCH 4/6] add test, delete ipykernel dependency

---
 pyproject.toml                                |   1 -
 .../test_new_sequence_detector.py             | 193 ++++++++++++++++++
 2 files changed, 193 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_detectors/test_new_sequence_detector.py

diff --git a/pyproject.toml b/pyproject.toml
index 800e1ab8..6ff29a15 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,7 +28,6 @@ dev = [
     "pytest>=8.4.2",
     "pytest-cov>=6.2.1",
     "detectmatelibrary[full]",
-    "ipykernel>=7.3.0",
 ]
 
 [project.optional-dependencies]
diff --git a/tests/test_detectors/test_new_sequence_detector.py b/tests/test_detectors/test_new_sequence_detector.py
new file mode 100644
index 00000000..0c5d8869
--- /dev/null
+++ b/tests/test_detectors/test_new_sequence_detector.py
@@ -0,0 +1,193 @@
+"""Tests for NewSequenceDetector class.
+
+This module tests the NewSequenceDetector implementation including:
+- Initialization and configuration
+- Training functionality to learn known EventID sequences
+- Detection logic for unknown sequences
+- Window handling (reset_window) and end-to-end regression on audit.log
+"""
+
+from detectmatelibrary.detectors.new_sequence_detector import NewSequenceDetector, \
+    NewSequenceDetectorConfig, BufferMode
+from detectmatelibrary.parsers.template_matcher import MatcherParser
+from detectmatelibrary.helper.from_to import From
+import detectmatelibrary.schemas as schemas
+from detectmatelibrary.utils.aux import time_test_mode
+from tests.test_data import AUDIT_LOG, AUDIT_TEMPLATES, TRAIN_UNTIL
+
+# Set time test mode for consistent timestamps
+time_test_mode()
+
+
+config = {
+    "detectors": {
+        "CustomInit": {
+            "method_type": "new_sequence_detector",
+            "auto_config": False,
+            "params": {
+                "max_sequence_length": 2
+            }
+        },
+        "MultipleDetector": {
+            "method_type": "new_sequence_detector",
+            "auto_config": False,
+            "params": {
+                "max_sequence_length": 2
+            }
+        }
+    }
+}
+
+
+def _make_schema(event_id, template="test template", log_id="1"):
+    return schemas.ParserSchema({
+        "parserType": "test",
+        "EventID": event_id,
+        "template": template,
+        "variables": ["adsasd", "asdasd"],
+        "logID": log_id,
+        "parsedLogID": log_id,
+        "parserID": "test_parser",
+        "log": "test log message",
+        "logFormatVariables": {"level": "INFO"}
+    })
+
+
+class TestNewSequenceDetectorInitialization:
+    """Test NewSequenceDetector initialization and configuration."""
+
+    def test_default_initialization(self):
+        detector = NewSequenceDetector()
+
+        assert detector.name == "NewSequenceDetector"
+        assert hasattr(detector, "config")
+        assert detector.data_buffer.mode == BufferMode.NO_BUF
+        assert detector.input_schema == schemas.ParserSchema
+        assert detector.output_schema == schemas.DetectorSchema
+        assert hasattr(detector, "persistency")
+        assert detector.config.max_sequence_length == 3
+
+    def test_custom_config_initialization(self):
+        detector = NewSequenceDetector(name="CustomInit", config=config)
+
+        assert detector.name == "CustomInit"
+        assert detector.config.max_sequence_length == 2
+        assert hasattr(detector, "persistency")
+        assert isinstance(detector.persistency.events_data, dict)
+
+
+class TestNewSequenceDetectorTraining:
+    """Test NewSequenceDetector training functionality."""
+
+    def test_train_learns_sequence(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        for event_id in [1, 2, 3]:
+            detector.train(_make_schema(event_id))
+
+        # max_sequence_length=2 -> sequences (1, 2) and (2, 3) are learned
+        assert detector.get_known_sequences() == {("1", "2"), ("2", "3")}
+
+    def test_train_below_window_length_learns_nothing(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        # Only one event seen so far, window not yet full (max_sequence_length=2)
+        detector.train(_make_schema(1))
+
+        assert detector.get_known_sequences() == set()
+
+
+class TestNewSequenceDetectorDetection:
+    """Test NewSequenceDetector detection functionality."""
+
+    def test_detect_known_sequence_no_alert(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        # Repeating the cycle 1 -> 2 -> 3 teaches sequences (1,2), (2,3), (3,1)
+        for event_id in [1, 2, 3, 1, 2, 3]:
+            detector.train(_make_schema(event_id))
+        # Window now holds the tail (2, 3); appending 1 reproduces the known (3, 1)
+        output = schemas.DetectorSchema()
+        result = detector.detect(_make_schema(1, log_id="7"), output)
+
+        assert not result
+        assert output.score == 0.0
+
+    def test_detect_unknown_sequence_alert(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        for event_id in [1, 2, 3, 1, 2, 3]:
+            detector.train(_make_schema(event_id))
+
+        # (3, 9) was never seen during training
+        output = schemas.DetectorSchema()
+        result = detector.detect(_make_schema(9, log_id="7"), output)
+
+        assert result
+        assert output.score == 1.0
+        assert any("Sequence" in key for key in output["alertsObtain"])
+
+    def test_detect_below_window_length_no_alert(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        # First event with an empty detector: window not yet full, can't be an anomaly
+        output = schemas.DetectorSchema()
+        result = detector.detect(_make_schema(1), output)
+
+        assert not result
+        assert output.score == 0.0
+
+
+class TestNewSequenceDetectorWindow:
+    """Test sliding-window behaviour."""
+
+    def test_reset_window_clears_state(self):
+        detector = NewSequenceDetector(config=config, name="MultipleDetector")
+
+        detector.train(_make_schema(1))
+        assert len(detector._window) == 1
+
+        detector.reset_window()
+        assert len(detector._window) == 0
+
+
+_PARSER_CONFIG = {
+    "parsers": {
+        "MatcherParser": {
+            "method_type": "matcher_parser",
+            "auto_config": False,
+            "log_format": "type=<Type> msg=audit(<Time>:*): <Content>",
+            "time_format": None,
+            "params": {
+                "remove_spaces": True,
+                "remove_punctuation": True,
+                "lowercase": True,
+                "path_templates": AUDIT_TEMPLATES,
+            },
+        }
+    }
+}
+
+
+class TestNewSequenceDetectorEndToEnd:
+    """Regression test: full train/detect pipeline on audit.log."""
+
+    def test_audit_log_anomalies(self):
+        pars = MatcherParser(config=_PARSER_CONFIG)
+        detector = NewSequenceDetector(
+            config=NewSequenceDetectorConfig(auto_config=False),
+            name="NewSequenceDetector",
+        )
+
+        logs = list(From.log(pars, in_path=AUDIT_LOG, do_process=True))
+
+        for log in logs[:TRAIN_UNTIL]:
+            detector.train(log)
+
+        detected_ids: set[str] = set()
+        for log in logs[TRAIN_UNTIL:]:
+            output = schemas.DetectorSchema()
+            if detector.detect(log, output_=output):
+                detected_ids.add(log["logID"])
+
+        assert detected_ids == {"1863", "1864", "1865"}
\ No newline at end of file

From 331a430bd07598832ab4af8489666a89e017666f Mon Sep 17 00:00:00 2001
From: Leonhard Kaufmann <leonhard.kaufmann4@gmail.com>
Date: Tue, 28 Jul 2026 16:08:41 +0200
Subject: [PATCH 5/6] resolve flake8 and mypy findings in new_sequence_detector

---
 .../detectors/new_sequence_detector.py        |  23 +-
 .../test_new_sequence_detector.py             |   2 +-
 uv.lock                                       | 454 ------------------
 3 files changed, 14 insertions(+), 465 deletions(-)

diff --git a/src/detectmatelibrary/detectors/new_sequence_detector.py b/src/detectmatelibrary/detectors/new_sequence_detector.py
index 133eeb76..55740fa5 100644
--- a/src/detectmatelibrary/detectors/new_sequence_detector.py
+++ b/src/detectmatelibrary/detectors/new_sequence_detector.py
@@ -9,13 +9,16 @@
 
 _SEQUENCE_SEPARATOR = "\x1f"
 
+
 def _encode_sequence(sequence: Sequence[int]) -> str:
     return _SEQUENCE_SEPARATOR.join(str(event_id) for event_id in sequence)
 
+
 class NewSequenceDetectorConfig(CoreDetectorConfig):
     method_type: str = "new_sequence_detector"
     max_sequence_length: int = 3
 
+
 class NewSequenceDetector(CoreDetector):
     def __init__(
             self,
@@ -23,8 +26,8 @@ def __init__(
             config: NewSequenceDetectorConfig = NewSequenceDetectorConfig()
     ) -> None:
         if isinstance(config, dict):
-            config = NewSequenceDetectorConfig.from_dict(config,name)
-        
+            config = NewSequenceDetectorConfig.from_dict(config, name)
+
         super().__init__(name=name, buffer_mode=BufferMode.NO_BUF, config=config)
         self.config: NewSequenceDetectorConfig
         self._window: deque[int] = deque(maxlen=self.config.max_sequence_length)
@@ -36,9 +39,9 @@ def __init__(
         )
         self._register_persistency(self.persistency)
 
-
     def train(self, input_: ParserSchema) -> None:  # type: ignore
-        """Train the detector by learning EventID sequences from the input data."""
+        """Train the detector by learning EventID sequences from the input
+        data."""
         self._window.append(input_["EventID"])
         if len(self._window) < self.config.max_sequence_length:
             return
@@ -47,7 +50,7 @@ def train(self, input_: ParserSchema) -> None:  # type: ignore
             event_template=input_["template"]
         )
 
-    def detect(self, input_: ParserSchema, output_: DetectorSchema) -> bool:
+    def detect(self, input_: ParserSchema, output_: DetectorSchema) -> bool:  # type: ignore
         self._window.append(input_["EventID"])
         if len(self._window) < self.config.max_sequence_length:
             return False
@@ -63,9 +66,9 @@ def detect(self, input_: ParserSchema, output_: DetectorSchema) -> bool:
 
     def configure(self, input_: ParserSchema) -> None:  # type: ignore
         self.auto_conf_persistency.ingest_event(
-        event_id=input_["EventID"],
-        event_template=input_["template"]
-    )
+            event_id=input_["EventID"],
+            event_template=input_["template"]
+        )
 
     def set_configuration(self) -> None:
         old_persist = self.config.persist
@@ -84,6 +87,6 @@ def reset_window(self) -> None:
 
     def get_known_sequences(self) -> set[tuple[str, ...]]:
         return {
-            tuple(encoded.split(_SEQUENCE_SEPARATOR))
+            tuple(str(encoded).split(_SEQUENCE_SEPARATOR))
             for encoded in self.persistency.get_events_seen()
-        }
\ No newline at end of file
+        }
diff --git a/tests/test_detectors/test_new_sequence_detector.py b/tests/test_detectors/test_new_sequence_detector.py
index 0c5d8869..4be6c7fb 100644
--- a/tests/test_detectors/test_new_sequence_detector.py
+++ b/tests/test_detectors/test_new_sequence_detector.py
@@ -190,4 +190,4 @@ def test_audit_log_anomalies(self):
             if detector.detect(log, output_=output):
                 detected_ids.add(log["logID"])
 
-        assert detected_ids == {"1863", "1864", "1865"}
\ No newline at end of file
+        assert detected_ids == {"1863", "1864", "1865"}
diff --git a/uv.lock b/uv.lock
index 86348d4d..1c95ffd7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -32,24 +32,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b0/7b/90df4a0a816d98d6ea26f559d87836d494a2cf1fcf063be67df50a7bcc30/anyio-4.14.1-py3-none-any.whl", hash = "sha256:4e5533c5b8ff0a24f5d7a176cbe6877129cd183893f66b537f8f227d10527d72", size = 124875, upload-time = "2026-06-24T20:56:04.413Z" },
 ]
 
-[[package]]
-name = "appnope"
-version = "0.1.4"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170, upload-time = "2024-02-06T09:43:11.258Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/81/29/5ecc3a15d5a33e31b26c11426c45c501e439cb865d0bff96315d86443b78/appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c", size = 4321, upload-time = "2024-02-06T09:43:09.663Z" },
-]
-
-[[package]]
-name = "asttokens"
-version = "3.0.2"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/25/1e/faf0f247f6f881b98fc4d6d07e14085cb89d13665084e6d6ac1dc2c03d0b/asttokens-3.0.2.tar.gz", hash = "sha256:3ecdbd8f2cc195f53ccada3a613538bb5f9ef6f6869129f13e03c30a677b8fe2", size = 63136, upload-time = "2026-07-12T03:31:49.084Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/d4/2b/04b8a15f3a1c77bc79ddf5c73875327f34b4fa75982df2b76e45e402d364/asttokens-3.0.2-py3-none-any.whl", hash = "sha256:9da13157f5b28becde0bd374fc677dcd3c290614264eff096f167c469cd9f933", size = 28702, upload-time = "2026-07-12T03:31:47.542Z" },
-]
-
 [[package]]
 name = "certifi"
 version = "2026.6.17"
@@ -59,91 +41,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/ef/2f/c5464532e965badff2f4c4c1a3a83f5697f0d7c407ed0cda44aaa99bb451/certifi-2026.6.17-py3-none-any.whl", hash = "sha256:2227dcbaafe0d2f59279d1762ddddc37783ed4354594f194ffc31d20f41fc3db", size = 133289, upload-time = "2026-06-17T10:31:06.348Z" },
 ]
 
-[[package]]
-name = "cffi"
-version = "2.1.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "pycparser" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/57/5f/ff100cae70ebe9d8df1c01a00e510e45d9adb5c1fdda84791b199141de97/cffi-2.1.0.tar.gz", hash = "sha256:efc1cdd798b1aaf39b4610bba7aad28c9bea9b910f25c784ccf9ec1fa719d1f9", size = 531036, upload-time = "2026-07-06T21:34:30.382Z" }
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From 3bad05cc55a16f800ff3bd37f079181af6a055e0 Mon Sep 17 00:00:00 2001
From: viktorbeck98 <viktor.beck98@gmail.com>
Date: Tue, 4 Aug 2026 11:05:31 +0200
Subject: [PATCH 6/6] update dependencies

---
 pyproject.toml |   1 -
 uv.lock        | 331 +------------------------------------------------
 2 files changed, 1 insertion(+), 331 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 6ff29a15..904edf5f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,7 +17,6 @@ dependencies = [
     "msgpack>=1.0.0",
     "fsspec>=2024.1.0",
     "pyarrow>=24.0.0",
-    "matplotlib>=3.11.1",
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 [dependency-groups]
diff --git a/uv.lock b/uv.lock
index 1c95ffd7..0cdecba2 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
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-revision = 3
+revision = 2
 requires-python = ">=3.12"
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