ci: enforce Ruff lint checks

.gitea/workflows/ci.yaml

@@ -27,6 +27,18 @@ jobs:
       - name: Build production image
         run: docker build --tag engin-console:ci .
 
+      - name: Run Ruff
+        run: |
+          docker run --rm \
+            --entrypoint sh \
+            engin-console:ci \
+            -c "python -m pip install --quiet \
+                --disable-pip-version-check \
+                --root-user-action=ignore \
+                ruff==0.16.4 &&
+                ruff check --no-cache \
+                app.py engin tests final_pipeline.py ml_polish_benchmark.py"
+
       - name: Check installed dependencies
         run: |
           docker run --rm \

app.py

@@ -13,12 +13,12 @@ import streamlit as st
 
 from engin.charts import cylinder_spectrum, deviation_chart, engine_heatmap
 from engin.config import (
-    AppConfig,
     LABEL_COLORS,
     LABEL_DISPLAY,
     LABEL_ICONS,
     NOT_APPLICABLE,
     SEVERITY_DISPLAY,
+    AppConfig,
 )
 from engin.errors import UserFacingError
 from engin.explainability import (
@@ -32,7 +32,6 @@ from engin.model import PrecomputedPredictionModel, SklearnPredictionModel
 from engin.service import DiagnosisResult, DiagnosticService
 from engin.validation import SpectrumFrameValidator
 
-
 LOGGER = logging.getLogger("engin.app")
 BASE_DIR = Path(__file__).resolve().parent
 
@@ -62,7 +61,7 @@ def build_dependencies() -> AppDependencies:
             service=DiagnosticService(reader=reader, validator=validator, model=model),
             demo_payload=demo_payload,
         )
-    except Exception as exc:
+    except Exception:
         LOGGER.exception("Live model initialization failed; enabling demo fallback")
         submission = pd.read_csv(BASE_DIR / "predictions.csv")
         diagnostics = pd.read_csv(BASE_DIR / "prediction_diagnostics.csv")

engin/__init__.py

@@ -1,5 +1,5 @@
 """Core application package for the ENGIN diagnostic console."""
 
-from .service import DiagnosticService, DiagnosisResult
+from .service import DiagnosisResult, DiagnosticService
 
 __all__ = ["DiagnosticService", "DiagnosisResult"]

engin/charts.py

@@ -8,7 +8,6 @@ import plotly.graph_objects as go
 from .config import FREQ_COLS, LABEL_COLORS
 from .explainability import EngineAnalysis
 
-
 PLOT_BG = "#101820"
 GRID = "rgba(148, 163, 184, 0.14)"
 TEXT = "#dce8ee"

engin/config.py

@@ -4,8 +4,13 @@ from __future__ import annotations
 
 from dataclasses import dataclass
 
-from benchmark_grouped import FAULT_LABELS, FREQ_COLS, LABELS, NOT_APPLICABLE, SEVERITIES
+from benchmark_grouped import (
-
+    FAULT_LABELS,
+    FREQ_COLS,
+    LABELS,
+    NOT_APPLICABLE,
+    SEVERITIES,
+)
 
 ALLOWED_ENGINE_SIZES = (8, 12, 16)
 MAX_UPLOAD_BYTES = 10 * 1024 * 1024

engin/model.py

@@ -7,7 +7,12 @@ from typing import Protocol
 
 import pandas as pd
 
-from final_pipeline import DiagnosticModels, predict_test, train_models, validate_submission
+from final_pipeline import (
+    DiagnosticModels,
+    predict_test,
+    train_models,
+    validate_submission,
+)
 
 from .errors import InferenceError
 

engin/validation.py

@@ -8,7 +8,7 @@ from typing import Protocol
 import numpy as np
 import pandas as pd
 
-from .config import AppConfig, FREQ_COLS
+from .config import FREQ_COLS, AppConfig
 from .errors import InputDataError
 
 

final_pipeline.py

@@ -28,7 +28,6 @@ from benchmark_grouped import (
     LABELS,
     NOT_APPLICABLE,
     SEVERITIES,
-    make_pipeline,
     validate_data,
 )
 from severity_benchmark import (
@@ -39,7 +38,6 @@ from severity_benchmark import (
     prepare_labeled_frame,
 )
 
-
 LABEL_MODEL_NAME = "deviation_logistic_c10"
 LABEL_FEATURE_SET = "deviation"
 SEVERITY_CANDIDATE_ID = "deviation_extra_trees_mf03"

ml_polish_benchmark.py

@@ -19,8 +19,8 @@ from benchmark_grouped import (
     FAULT_LABELS,
     LABELS,
     NOT_APPLICABLE,
-    make_splits,
     macro_f1,
+    make_splits,
     ml_points,
     raw_score,
     validate_data,
@@ -38,7 +38,6 @@ from severity_benchmark import (
     prepare_labeled_frame,
 )
 
-
 DEFAULT_SEEDS = [7, 21, 42, 77, 123]
 
 
@@ -166,7 +165,7 @@ def main() -> None:
                 "ood_overrides": ood_count[scenario],
             }
             row.update(
-                {f"f1_{label}": float(value) for label, value in zip(LABELS, per_class)}
+                {f"f1_{label}": float(value) for label, value in zip(LABELS, per_class, strict=True)}
             )
             run_rows.append(row)
 

ruff.toml

@@ -0,0 +1,5 @@
+target-version = "py312"
+extend-exclude = ["archive/legacy_experiments"]
+
+[lint]
+select = ["E4", "E7", "E9", "F", "I", "B"]

tests/test_app_smoke.py

@@ -5,7 +5,6 @@ from pathlib import Path
 
 from streamlit.testing.v1 import AppTest
 
-
 ROOT = Path(__file__).resolve().parents[1]
 
 

tests/test_explainability.py

@@ -14,7 +14,6 @@ from engin.explainability import (
 )
 from engin.service import DiagnosisResult
 
-
 ROOT = Path(__file__).resolve().parents[1]
 
 

tests/test_service.py

@@ -4,7 +4,7 @@ import unittest
 
 import pandas as pd
 
-from engin.model import PredictionBundle, PrecomputedPredictionModel
+from engin.model import PrecomputedPredictionModel, PredictionBundle
 from engin.service import DiagnosticService
 from engin.validation import ValidationResult
 

tests/test_validation.py

@@ -10,7 +10,6 @@ from engin.config import FREQ_COLS
 from engin.errors import InputDataError
 from engin.validation import SpectrumFrameValidator
 
-
 ROOT = Path(__file__).resolve().parents[1]