feat: ja4-platform monorepo — 5 services unified, tests & RPM builds standardized

Services:
- ja4sentinel: TLS/JA4 fingerprint capture daemon (Go, libpcap)
- logcorrelator: JA4 log correlation engine (Go, ClickHouse)
- mod_reqin_log: Apache module (C, JSON request logging)
- bot_detector: ML bot detection pipeline (Python)
- dashboard: FastAPI/Streamlit analytics UI (Python)

Shared libraries:
- shared/go/ja4common: logger, config, shutdown, ipfilter (Go module)
- shared/python/ja4_common: ClickHouseClient, ClickHouseSettings (Python package)
- shared/clickhouse/: canonical SQL migrations (10 files)

Build & packaging:
- Unified 3-stage Dockerfile.package for Go RPMs (el8/el9/el10)
- go.work workspace linking sentinel, correlator, ja4common
- Makefile with test-all, build-all, rpm-* targets

Fixes applied:
- go.work: 1.21 → 1.24.6 (required by sentinel)
- correlator Dockerfiles: golang:1.21 → golang:1.24
- replace directives in go.mod for ja4common local path
- pyproject.toml: setuptools.backends → setuptools.build_meta
- Removed static libpcap linking (unavailable on Rocky 9)
- Fixed data races in output/writers_test.go (sync.Mutex + atomic.Int32)
- Rewrote corrupted test files (logger_test.go × 2)

Test coverage:
- correlator: 67.1% total (unixsocket 80.5%, config 91.7%, app 83.3%, multi 87.7%, stdout 100%)
- sentinel: all 10 packages pass (api, capture, config, fingerprint, ipfilter, logging, output, tlsparse)

Documentation:
- README.md + docs/ (architecture, development, 5 services, shared libs, DB schema & migrations)

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

services/dashboard/backend/routes/attributes.py

@@ -0,0 +1,92 @@
+"""
+Endpoints pour la liste des attributs uniques
+"""
+from fastapi import APIRouter, HTTPException, Query
+from ..database import db
+from ..models import AttributeListResponse, AttributeListItem
+
+router = APIRouter(prefix="/api/attributes", tags=["attributes"])
+
+
+@router.get("/{attr_type}", response_model=AttributeListResponse)
+async def get_attributes(
+    attr_type: str,
+    limit: int = Query(100, ge=1, le=1000, description="Nombre maximum de résultats")
+):
+    """
+    Récupère la liste des valeurs uniques pour un type d'attribut
+    """
+    try:
+        # Mapping des types vers les colonnes
+        type_column_map = {
+            "ip": "src_ip",
+            "ja4": "ja4",
+            "country": "country_code",
+            "asn": "asn_number",
+            "host": "host",
+            "threat_level": "threat_level",
+            "model_name": "model_name",
+            "asn_org": "asn_org"
+        }
+        
+        if attr_type not in type_column_map:
+            raise HTTPException(
+                status_code=400,
+                detail=f"Type invalide. Types supportés: {', '.join(type_column_map.keys())}"
+            )
+        
+        column = type_column_map[attr_type]
+        
+        # Requête de base
+        base_query = f"""
+        SELECT
+            {column} AS value,
+            count() AS count
+        FROM ml_detected_anomalies
+        WHERE detected_at >= now() - INTERVAL 24 HOUR
+        """
+        
+        # Ajout du filtre pour exclure les valeurs vides/nulles
+        # Gestion spéciale pour les types IPv6/IPv4 qui ne peuvent pas être comparés à ''
+        if attr_type == "ip":
+            # Pour les adresses IP, on convertit en string et on filtre
+            query = f"""
+            SELECT value, count FROM (
+                SELECT toString({column}) AS value, count() AS count
+                FROM ml_detected_anomalies
+                WHERE detected_at >= now() - INTERVAL 24 HOUR
+                GROUP BY {column}
+            )
+            WHERE value != '' AND value IS NOT NULL
+            ORDER BY count DESC
+            LIMIT %(limit)s
+            """
+        else:
+            query = f"""
+            {base_query}
+              AND {column} != '' AND {column} IS NOT NULL
+            GROUP BY value
+            ORDER BY count DESC
+            LIMIT %(limit)s
+            """
+        
+        result = db.query(query, {"limit": limit})
+        
+        items = [
+            AttributeListItem(
+                value=str(row[0]),
+                count=row[1]
+            )
+            for row in result.result_rows
+        ]
+        
+        return AttributeListResponse(
+            type=attr_type,
+            items=items,
+            total=len(items)
+        )
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Erreur: {str(e)}")