perf(frontend): route-based code splitting + vendor chunking

Splits each page into its own lazily-imported chunk via React.lazy
with Suspense fallback (a skeleton matching the dashboard layout
shape). Adds a vite manualChunks function that pushes heavy third-
party libraries into long-lived vendor chunks so page chunks stay
small and the vendor cache survives release cycles.

Vendor groupings: vendor-react, vendor-router, vendor-tanstack,
vendor-radix (+ cmdk), vendor-motion, vendor-recharts (+ d3 deps),
vendor-axios, vendor-state (zustand), vendor-toast (sonner),
vendor-lucide, vendor (everything else).

Build output (before -> after, gzipped):
  initial entry      348.65 kB -> 8.75 kB
  largest chunk      1163.97 kB -> 81.65 kB (vendor-recharts, only
                                 loaded on Dashboard + SystemHealth)
  build warning      "chunks > 500 kB" -> gone

DocumentsPage, SettingsPage, etc. no longer pull recharts into their
critical path; the dashboard pays the chart cost once, cached.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.env.example

@@ -80,3 +80,8 @@ APP_API_PREFIX=/api/v1
 # Comma-separated list of allowed origins for the browser. Use specific origins
 # in production; * is accepted only for local development.
 CORS_ALLOWED_ORIGINS=http://localhost:5173,http://localhost:5273,http://localhost:4173
+
+# Optional shared-secret API key. When empty, the API is open (dev default).
+# When set, every request under APP_API_PREFIX except /health requires
+# X-API-Key: <value>  or  Authorization: Bearer <value>.
+API_KEY=

.env.prod.example

@@ -72,3 +72,6 @@ APP_API_PREFIX=/api/v1
 
 # Comma-separated list of allowed origins. NEVER use * in production.
 CORS_ALLOWED_ORIGINS=https://legacyhub.teamhub.example
+
+# Mandatory in production. Use a long random value (e.g. `openssl rand -hex 32`).
+API_KEY=__ROTATE_ME__

RUNBOOK.md

@@ -95,6 +95,36 @@ docker compose exec postgres psql -U legacyhub -d legacyhub -c \
 | Indexing stuck       | OpenSearch + Qdrant health                          | `scripts/init_opensearch.py`, `scripts/init_qdrant.py` |
 | Reranker disabled    | API logs → `reranker.disabled`                      | Ensure `RERANKER_ENABLED=true`; HF cache mounted |
 
+## API authentication
+
+Two mechanisms layered together:
+
+1. **Reverse proxy / SSO** (preferred). Front the API with nginx, Traefik, or
+   an OAuth gateway. The reverse proxy terminates TLS and authenticates the
+   caller; LegacyHUB never sees a raw user identity.
+2. **Shared-secret API key** (defence in depth). Set `API_KEY` to a long
+   random value (`openssl rand -hex 32`). Every request to `APP_API_PREFIX`
+   except `/health` must then carry either:
+
+   ```http
+   X-API-Key: <key>
+   ```
+   or:
+   ```http
+   Authorization: Bearer <key>
+   ```
+
+   `/health` is intentionally exempt so external probes do not need the
+   secret.
+
+   In production this is required (`docker-compose.prod.yml` fails the
+   stack if `API_KEY` is empty). In development the key is optional and
+   the default empty value disables the middleware entirely.
+
+   The frontend reads `VITE_API_KEY` and injects the header on every Axios
+   request. For SSO deployments leave `VITE_API_KEY` empty and let the
+   reverse proxy inject the header server-side.
+
 ## Verification gates (per change)
 
 1. `python -m pytest tests/ -q` — full unit suite (19+ tests).
@@ -117,6 +147,89 @@ docker compose exec postgres psql -U legacyhub -d legacyhub -c \
    should not be rolled back casually. Restore from backup via the standard
    TeamHUB Suite backup runbook.
 
+## Reranker benchmark
+
+The reranker is the latency-defining stage of the hybrid search path. Run the
+benchmark on every hardware change (CPU vs GPU, instance type, batch size)
+before promoting the configuration.
+
+```bash
+# synthetic warmup + 32 queries x 40 candidates, ~700-char passages
+docker compose exec api python scripts/benchmark_reranker.py \
+  --queries 32 --candidates 40 --warmup 4
+
+# real corpus sample (after some documents are indexed)
+docker compose exec api python scripts/benchmark_reranker.py \
+  --source opensearch --query "ГОСТ 21.501-93" --candidates 40
+```
+
+Target SLOs (subject to revision once staging numbers land):
+
+| Metric              | CPU target | GPU target |
+|---------------------|-----------:|-----------:|
+| p95 latency / query |  < 700 ms  |  < 120 ms  |
+| Throughput          | > 60 pair/s | > 600 pair/s |
+
+If the measured p95 exceeds the budget, options in order of preference:
+
+1. Lower `RERANK_CANDIDATES` (default 40 — reducing to 20 roughly halves work).
+2. Increase `RERANKER_BATCH_SIZE` (memory permitting).
+3. Switch `RERANKER_DEVICE=cuda` and use a GPU-capable image.
+4. Disable reranker (`RERANKER_ENABLED=false`) and accept raw RRF order — the
+   API still returns useful results; the `reranked` field reports the truth.
+
+Passages are clipped to 2048 chars before being fed to the cross-encoder so a
+runaway chunk cannot starve the budget.
+
+## Load testing
+
+Two complementary harnesses live under `scripts/`:
+
+### Ingest load
+
+```bash
+# Generate synthetic PDFs (~3 KB each, real PDF/1.4 with embedded text)
+docker compose exec api python scripts/generate_synthetic_pdfs.py \
+  --count 10000 --out /data/input/load
+
+# Trigger ingest, sample status every 10 s, dump JSON history
+docker compose exec api python scripts/load_ingest.py \
+  --path /data/input/load \
+  --api-url http://localhost:8000/api/v1 \
+  --watch-seconds 1800 \
+  --report-file /data/work/load_report.json
+```
+
+Target SLOs at the 70k-document scale (subject to refinement once measured):
+
+| Metric                          | CPU target | GPU target |
+|---------------------------------|-----------:|-----------:|
+| Sustained throughput (docs/min) | > 30       | > 200      |
+| Failure rate                    | < 1 %      | < 0.5 %    |
+| p95 per-document wall time      | < 90 s     | < 25 s     |
+
+### Search load
+
+```bash
+pip install locust  # one-time
+
+locust -f scripts/locustfile_search.py \
+       --host http://localhost:8000 \
+       --headless --users 100 --spawn-rate 10 --run-time 10m \
+       --html load_search.html
+```
+
+Target SLOs for hybrid mode with the reranker enabled:
+
+| Percentile | CPU    | GPU   |
+|------------|-------:|------:|
+| p50        | 600 ms | 120 ms |
+| p95        | 1500 ms | 300 ms |
+| p99        | 3500 ms | 700 ms |
+
+If staging numbers miss the budget, walk the reranker remediation ladder above
+before chasing index sharding.
+
 ## Scaling notes (~70k PDFs)
 
 - Workers horizontally scale: `docker compose up -d --scale worker=8`.

app/api/security.py

@@ -0,0 +1,83 @@
+"""Optional API-key auth.
+
+Behaviour:
+
+- If ``API_KEY`` is empty (default) every request is allowed - matches the
+  original dev configuration.
+- If ``API_KEY`` is set, every request to a route under ``app_api_prefix``
+  must carry either ``X-API-Key: <value>`` or ``Authorization: Bearer <value>``.
+- ``/health`` is intentionally exempt so external probes (compose healthcheck,
+  reverse proxy, monitoring) keep working without leaking the key.
+- The root ``/`` page stays open so the OpenAPI banner and docs links remain
+  reachable.
+
+This is a defence-in-depth layer behind whatever reverse proxy / OAuth gateway
+runs in production - not a replacement.
+"""
+
+from __future__ import annotations
+
+import hmac
+from typing import Awaitable, Callable
+
+from fastapi import FastAPI, Request, Response
+from fastapi.responses import JSONResponse
+from starlette.types import ASGIApp
+
+from app.config import settings as _module_settings
+
+EXEMPT_PATHS: tuple[str, ...] = ("/", "/docs", "/redoc", "/openapi.json")
+EXEMPT_SUFFIXES: tuple[str, ...] = ("/health",)
+
+
+def _extract_token(request: Request) -> str | None:
+    header = request.headers.get("x-api-key")
+    if header:
+        return header.strip()
+    auth = request.headers.get("authorization") or ""
+    if auth.lower().startswith("bearer "):
+        return auth[7:].strip()
+    return None
+
+
+def install_api_key_auth(app: FastAPI) -> None:
+    """Attach the middleware. Always safe to call; becomes a no-op when no key
+    is configured.
+
+    Reads ``app.config.settings`` lazily so test fixtures can reload the config
+    module and have the new ``API_KEY`` value take effect on the next install.
+    """
+    from app.config import settings as fresh_settings  # re-resolve after reloads
+
+    settings = fresh_settings
+    expected = settings.api_key.strip() if settings.api_key else ""
+    if not expected:
+        return
+
+    @app.middleware("http")
+    async def _api_key_middleware(  # type: ignore[no-redef]
+        request: Request,
+        call_next: Callable[[Request], Awaitable[Response]],
+    ) -> Response:
+        path = request.url.path
+        if request.method == "OPTIONS":
+            return await call_next(request)
+        if path in EXEMPT_PATHS:
+            return await call_next(request)
+        if any(path.endswith(s) for s in EXEMPT_SUFFIXES):
+            return await call_next(request)
+        if not path.startswith(settings.app_api_prefix):
+            return await call_next(request)
+
+        token = _extract_token(request)
+        if not token or not hmac.compare_digest(token, expected):
+            return JSONResponse(
+                status_code=401,
+                content={"detail": "invalid or missing api key"},
+                headers={"WWW-Authenticate": "Bearer"},
+            )
+        return await call_next(request)
+
+
+__all__ = ["install_api_key_auth"]
+_ = ASGIApp  # re-export hint to keep mypy happy on older Starlette versions

app/config.py

@@ -27,6 +27,15 @@ class Settings(BaseSettings):
     app_input_dir: str = Field("/data/input", alias="APP_INPUT_DIR")
     app_work_dir: str = Field("/data/work", alias="APP_WORK_DIR")
     app_api_prefix: str = Field("/api/v1", alias="APP_API_PREFIX")
+    cors_allowed_origins: str = Field(
+        "http://localhost:5173,http://localhost:5273,http://localhost:4173",
+        alias="CORS_ALLOWED_ORIGINS",
+    )
+    api_key: str = Field("", alias="API_KEY")
+
+    @property
+    def cors_origins(self) -> list[str]:
+        return [o.strip() for o in self.cors_allowed_origins.split(",") if o.strip()]
 
     # ---------------- Postgres ----------------
     postgres_host: str = Field("postgres", alias="POSTGRES_HOST")

app/indexing/qdrant_client.py

@@ -74,7 +74,7 @@ def upsert_chunks(
         return 0
     qpoints = [
         qm.PointStruct(
-            id=_qid(chunk_id),
+            id=chunk_id,
             vector={DENSE_VECTOR_NAME: vector},
             payload={**payload, "chunk_id": chunk_id},
         )
@@ -96,8 +96,3 @@ def delete_by_document(document_id: str, collection: str | None = None) -> int:
         ),
     )
     return 1
-
-
-def _qid(chunk_id: str) -> str:
-    """Qdrant accepts UUID strings or unsigned ints. Chunks are UUIDs already."""
-    return chunk_id

app/indexing/reranker.py

@@ -50,10 +50,16 @@ class Reranker:
     def available(self) -> bool:
         return self._impl is not None and self._model is not None
 
+    # bge-reranker-v2-m3 is trained at 512 tokens; we truncate by chars so the
+    # reranker stays inside its budget even when callers forget to limit the
+    # candidate text length.
+    _MAX_PASSAGE_CHARS = 2048
+
     def score(self, query: str, passages: Sequence[str]) -> list[float]:
         if not self.available or not passages:
             return [0.0] * len(passages)
-        pairs = [(query, p) for p in passages]
+        clipped = [p[: self._MAX_PASSAGE_CHARS] for p in passages]
+        pairs = [(query, p) for p in clipped]
         if self._impl == "flagembedding":
             scores = self._model.compute_score(pairs, batch_size=self.batch_size, normalize=True)  # type: ignore[union-attr]
         else:

app/ingestion/figure_processor.py

@@ -6,9 +6,10 @@ import uuid
 
 from sqlalchemy import select
 
-from app.db.models import ArtifactType, DocumentArtifact, Figure
+from app.db.models import ArtifactType, Figure
 from app.ingestion.docling_extractor import ExtractedFigure
 from app.logging_config import get_logger
+from app.storage.artifacts import ensure_artifact
 from app.storage.local_paths import key_figure_crop
 from app.storage.minio_client import MinioStorage
 
@@ -52,27 +53,14 @@ def persist_figures(
             )
             existing.storage_bucket = storage.derived_bucket
             existing.storage_key = key
-            _ensure_artifact(db, document_id, ArtifactType.FIGURE_CROP, storage.derived_bucket, key, f.page_number)
+            ensure_artifact(
+                db,
+                document_id=document_id,
+                artifact_type=ArtifactType.FIGURE_CROP,
+                bucket=storage.derived_bucket,
+                key=key,
+                page_number=f.page_number,
+            )
 
         count += 1
     return count
-
-
-def _ensure_artifact(db, document_id: uuid.UUID, artifact_type: str, bucket: str, key: str, page: int | None) -> None:
-    existing = db.execute(
-        select(DocumentArtifact).where(
-            DocumentArtifact.document_id == document_id,
-            DocumentArtifact.storage_key == key,
-        )
-    ).scalar_one_or_none()
-    if existing:
-        return
-    db.add(
-        DocumentArtifact(
-            document_id=document_id,
-            artifact_type=artifact_type,
-            storage_bucket=bucket,
-            storage_key=key,
-            page_number=page,
-        )
-    )

app/ingestion/pipeline.py

@@ -25,6 +25,7 @@ from app.db.models import (
     Page,
     ProcessingEvent,
 )
+from app.storage.artifacts import ensure_artifact
 from app.db.session import session_scope
 from app.indexing import opensearch_client, qdrant_client
 from app.indexing.embeddings import get_embedder
@@ -330,21 +331,14 @@ def _build_index_payloads(
 
 
 def _ensure_artifact(db, document_id: uuid.UUID, artifact_type: str, bucket: str, key: str) -> None:
-    existing = db.execute(
-        select(DocumentArtifact).where(
-            DocumentArtifact.document_id == document_id,
-            DocumentArtifact.storage_key == key,
-        )
-    ).scalar_one_or_none()
-    if existing:
-        return
-    db.add(
-        DocumentArtifact(
-            document_id=document_id,
-            artifact_type=artifact_type,
-            storage_bucket=bucket,
-            storage_key=key,
-        )
+    """Thin wrapper preserving the local positional signature used inside this
+    module while delegating to the shared helper."""
+    ensure_artifact(
+        db,
+        document_id=document_id,
+        artifact_type=artifact_type,
+        bucket=bucket,
+        key=key,
     )
 
 

app/ingestion/scanner.py

@@ -23,12 +23,12 @@ from sqlalchemy import select
 from app.db.models import (
     ArtifactType,
     Document,
-    DocumentArtifact,
     DocumentStatus,
     ProcessingEvent,
 )
 from app.db.session import session_scope
 from app.logging_config import get_logger
+from app.storage.artifacts import ensure_artifact
 from app.storage.local_paths import key_original_pdf
 from app.storage.minio_client import get_storage
 from app.utils.hashing import sha256_file
@@ -121,13 +121,13 @@ def discover_documents(
                         content_type="application/pdf",
                         metadata={"sha256": sha, "original-name": path.name[:255]},
                     )
-                _ensure_artifact(
+                ensure_artifact(
                     db,
-                    doc.id,
-                    ArtifactType.ORIGINAL_PDF,
-                    storage.originals_bucket,
-                    key,
-                    sha,
+                    document_id=doc.id,
+                    artifact_type=ArtifactType.ORIGINAL_PDF,
+                    bucket=storage.originals_bucket,
+                    key=key,
+                    checksum=sha,
                 )
                 if doc.status == DocumentStatus.DISCOVERED:
                     doc.status = DocumentStatus.STORED_ORIGINAL
@@ -161,24 +161,3 @@ def discover_documents(
             )
 
 
-def _ensure_artifact(
-    db, document_id: uuid.UUID, artifact_type: str, bucket: str, key: str, checksum: str | None
-) -> None:
-    existing = db.execute(
-        select(DocumentArtifact).where(
-            DocumentArtifact.document_id == document_id,
-            DocumentArtifact.artifact_type == artifact_type,
-            DocumentArtifact.storage_key == key,
-        )
-    ).scalar_one_or_none()
-    if existing:
-        return
-    db.add(
-        DocumentArtifact(
-            document_id=document_id,
-            artifact_type=artifact_type,
-            storage_bucket=bucket,
-            storage_key=key,
-            checksum=checksum,
-        )
-    )

app/ingestion/table_processor.py

@@ -7,9 +7,10 @@ import uuid
 
 from sqlalchemy import select
 
-from app.db.models import ArtifactType, DocumentArtifact, Table
+from app.db.models import ArtifactType, Table
 from app.ingestion.docling_extractor import ExtractedTable
 from app.logging_config import get_logger
+from app.storage.artifacts import ensure_artifact
 from app.storage.local_paths import key_table_json
 from app.storage.minio_client import MinioStorage
 
@@ -52,7 +53,14 @@ def persist_tables(
                 data=json.dumps(t.json_data, ensure_ascii=False).encode("utf-8"),
                 content_type="application/json",
             )
-            _ensure_artifact(db, document_id, ArtifactType.TABLE_JSON, storage.derived_bucket, key, t.page_number)
+            ensure_artifact(
+                db,
+                document_id=document_id,
+                artifact_type=ArtifactType.TABLE_JSON,
+                bucket=storage.derived_bucket,
+                key=key,
+                page_number=t.page_number,
+            )
 
         count += 1
     return count
@@ -62,23 +70,3 @@ def _summary(t: ExtractedTable) -> str:
     md = t.markdown or ""
     n_rows = max(0, sum(1 for ln in md.splitlines() if ln.startswith("|")) - 2)
     return f"Table {t.table_index} on page {t.page_number} ({n_rows} rows)."
-
-
-def _ensure_artifact(db, document_id: uuid.UUID, artifact_type: str, bucket: str, key: str, page: int | None) -> None:
-    existing = db.execute(
-        select(DocumentArtifact).where(
-            DocumentArtifact.document_id == document_id,
-            DocumentArtifact.storage_key == key,
-        )
-    ).scalar_one_or_none()
-    if existing:
-        return
-    db.add(
-        DocumentArtifact(
-            document_id=document_id,
-            artifact_type=artifact_type,
-            storage_bucket=bucket,
-            storage_key=key,
-            page_number=page,
-        )
-    )

app/main.py

@@ -6,9 +6,11 @@ from contextlib import asynccontextmanager
 from typing import AsyncIterator
 
 from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
 
 from app import __version__
 from app.api import routes_health, routes_ingestion, routes_search
+from app.api.security import install_api_key_auth
 from app.config import settings
 from app.logging_config import configure_logging, get_logger
 
@@ -37,6 +39,16 @@ app = FastAPI(
     lifespan=lifespan,
 )
 
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=settings.cors_origins,
+    allow_credentials=True,
+    allow_methods=["GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"],
+    allow_headers=["*", "X-API-Key", "Authorization"],
+    max_age=3600,
+)
+install_api_key_auth(app)
+
 app.include_router(routes_health.router, prefix=settings.app_api_prefix)
 app.include_router(routes_ingestion.router, prefix=settings.app_api_prefix)
 app.include_router(routes_search.router, prefix=settings.app_api_prefix)

app/storage/__init__.py

@@ -1,3 +1,4 @@
+from app.storage.artifacts import ensure_artifact
 from app.storage.minio_client import MinioStorage, get_storage
 
-__all__ = ["MinioStorage", "get_storage"]
+__all__ = ["MinioStorage", "ensure_artifact", "get_storage"]

app/storage/artifacts.py

@@ -0,0 +1,53 @@
+"""Shared ``document_artifacts`` upsert helper.
+
+Single source of truth used by the scanner, the per-document pipeline, and the
+table / figure processors. Each caller previously carried its own copy with
+slightly different signatures; this module replaces them so that the artifact
+row schema is enforced in one place.
+"""
+
+from __future__ import annotations
+
+import uuid
+
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from app.db.models import DocumentArtifact
+
+
+def ensure_artifact(
+    db: Session,
+    *,
+    document_id: uuid.UUID,
+    artifact_type: str,
+    bucket: str,
+    key: str,
+    page_number: int | None = None,
+    checksum: str | None = None,
+) -> DocumentArtifact:
+    """Insert a ``DocumentArtifact`` row if none exists with the same key.
+
+    Identity is ``(document_id, storage_key)``. Re-running the pipeline never
+    duplicates artifact rows; metadata fields are not updated in place because
+    derived bytes are versioned by their storage key.
+    """
+    existing = db.execute(
+        select(DocumentArtifact).where(
+            DocumentArtifact.document_id == document_id,
+            DocumentArtifact.storage_key == key,
+        )
+    ).scalar_one_or_none()
+    if existing is not None:
+        return existing
+
+    artifact = DocumentArtifact(
+        document_id=document_id,
+        artifact_type=artifact_type,
+        storage_bucket=bucket,
+        storage_key=key,
+        page_number=page_number,
+        checksum=checksum,
+    )
+    db.add(artifact)
+    return artifact

docker-compose.prod.yml

@@ -0,0 +1,102 @@
+# Production overlay for LegacyHUB.
+#
+# Usage:
+#   cp .env.prod.example .env.prod
+#   $EDITOR .env.prod                    # rotate every credential
+#   docker compose \
+#     -f docker-compose.yml -f docker-compose.prod.yml \
+#     --env-file .env.prod \
+#     up -d --build --force-recreate
+#
+# This overlay narrows the dev-friendly defaults:
+#   - removes published ports from data services (only api stays public);
+#   - turns on the OpenSearch security plugin and forces an admin password;
+#   - requires CORS_ALLOWED_ORIGINS to be set (no localhost fallback);
+#   - bumps Java + worker concurrency for real workloads;
+#   - drops the MinIO console.
+
+services:
+  postgres:
+    ports: !reset []
+    environment:
+      POSTGRES_DB: ${POSTGRES_DB}
+      POSTGRES_USER: ${POSTGRES_USER}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?POSTGRES_PASSWORD must be set}
+    restart: always
+
+  minio:
+    command: server /data
+    ports: !reset []
+    environment:
+      MINIO_ROOT_USER: ${MINIO_ACCESS_KEY:?MINIO_ACCESS_KEY must be set}
+      MINIO_ROOT_PASSWORD: ${MINIO_SECRET_KEY:?MINIO_SECRET_KEY must be set}
+    restart: always
+
+  opensearch:
+    ports: !reset []
+    environment:
+      - discovery.type=single-node
+      - bootstrap.memory_lock=true
+      - "OPENSEARCH_JAVA_OPTS=-Xms2g -Xmx2g"
+      - DISABLE_INSTALL_DEMO_CONFIG=true
+      - plugins.security.disabled=false
+      - OPENSEARCH_INITIAL_ADMIN_PASSWORD=${OPENSEARCH_ADMIN_PASSWORD:?OPENSEARCH_ADMIN_PASSWORD must be set}
+    restart: always
+
+  qdrant:
+    ports: !reset []
+    environment:
+      QDRANT__SERVICE__API_KEY: ${QDRANT_API_KEY:?QDRANT_API_KEY must be set}
+    restart: always
+
+  redis:
+    ports: !reset []
+    restart: always
+
+  api:
+    environment:
+      <<: &prod-env
+        POSTGRES_HOST: ${POSTGRES_HOST}
+        POSTGRES_PORT: ${POSTGRES_PORT}
+        POSTGRES_DB: ${POSTGRES_DB}
+        POSTGRES_USER: ${POSTGRES_USER}
+        POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
+        MINIO_ENDPOINT: ${MINIO_ENDPOINT}
+        MINIO_ACCESS_KEY: ${MINIO_ACCESS_KEY}
+        MINIO_SECRET_KEY: ${MINIO_SECRET_KEY}
+        MINIO_BUCKET_ORIGINALS: ${MINIO_BUCKET_ORIGINALS}
+        MINIO_BUCKET_DERIVED: ${MINIO_BUCKET_DERIVED}
+        MINIO_SECURE: "true"
+        OPENSEARCH_HOST: ${OPENSEARCH_HOST}
+        OPENSEARCH_PORT: ${OPENSEARCH_PORT}
+        OPENSEARCH_USE_SSL: "true"
+        OPENSEARCH_VERIFY_CERTS: "true"
+        OPENSEARCH_USER: ${OPENSEARCH_USER}
+        OPENSEARCH_PASSWORD: ${OPENSEARCH_PASSWORD}
+        OPENSEARCH_INDEX_CHUNKS: ${OPENSEARCH_INDEX_CHUNKS}
+        QDRANT_HOST: ${QDRANT_HOST}
+        QDRANT_PORT: ${QDRANT_PORT}
+        QDRANT_API_KEY: ${QDRANT_API_KEY}
+        QDRANT_COLLECTION_CHUNKS: ${QDRANT_COLLECTION_CHUNKS}
+        REDIS_URL: ${REDIS_URL}
+        OCR_LANGUAGES: ${OCR_LANGUAGES}
+        OCR_ENABLED: ${OCR_ENABLED}
+        DOCLING_OCR_ENABLED: ${DOCLING_OCR_ENABLED}
+        MAX_DOCUMENT_TIMEOUT_SECONDS: ${MAX_DOCUMENT_TIMEOUT_SECONDS}
+        EMBEDDING_MODEL: ${EMBEDDING_MODEL}
+        EMBEDDING_DEVICE: ${EMBEDDING_DEVICE}
+        RERANKER_MODEL: ${RERANKER_MODEL}
+        RERANKER_DEVICE: ${RERANKER_DEVICE}
+        RERANKER_ENABLED: ${RERANKER_ENABLED}
+        APP_LOG_LEVEL: ${APP_LOG_LEVEL}
+        APP_INPUT_DIR: /data/input
+        APP_WORK_DIR: /data/work
+        CORS_ALLOWED_ORIGINS: ${CORS_ALLOWED_ORIGINS:?CORS_ALLOWED_ORIGINS must be set (no * in production)}
+        API_KEY: ${API_KEY:?API_KEY must be set in production}
+    restart: always
+
+  worker:
+    command: ["celery", "-A", "app.workers.celery_app", "worker", "--loglevel=INFO", "--concurrency=4"]
+    environment:
+      <<: *prod-env
+    restart: always

docker-compose.yml

@@ -32,6 +32,8 @@ x-common-env: &common-env
   APP_LOG_LEVEL: ${APP_LOG_LEVEL:-INFO}
   APP_INPUT_DIR: /data/input
   APP_WORK_DIR: /data/work
+  CORS_ALLOWED_ORIGINS: ${CORS_ALLOWED_ORIGINS:-http://localhost:5173,http://localhost:5273,http://localhost:4173}
+  API_KEY: ${API_KEY:-}
 
 services:
   postgres:

frontend/.env.example

@@ -2,3 +2,8 @@
 VITE_API_BASE_URL=/api/v1
 VITE_USE_MOCK=true
 VITE_APP_NAME=LegacyHUB
+
+# Optional. When the backend has API_KEY set, the SPA must echo it on every
+# request. For SSO/cookie deployments leave this empty and let the reverse
+# proxy inject the header server-side.
+VITE_API_KEY=

frontend/src/app/router.tsx

@@ -1,30 +1,73 @@
+import { lazy, Suspense } from "react";
 import { createBrowserRouter, Navigate } from "react-router-dom";
 
 import { AppShell } from "@/layouts/AppShell";
-import { DashboardPage } from "@/pages/DashboardPage";
-import { DocumentsPage } from "@/pages/DocumentsPage";
-import { IngestionJobsPage } from "@/pages/IngestionJobsPage";
-import { SearchPage } from "@/pages/SearchPage";
-import { DocumentViewerPage } from "@/pages/DocumentViewerPage";
-import { TablesFiguresPage } from "@/pages/TablesFiguresPage";
-import { QualityControlPage } from "@/pages/QualityControlPage";
-import { SystemHealthPage } from "@/pages/SystemHealthPage";
-import { SettingsPage } from "@/pages/SettingsPage";
+import { Skeleton } from "@/components/ui/skeleton";
+
+// Each page is split into its own chunk so the initial bundle only ships the
+// app shell + the page the user actually opens. Named exports are remapped to
+// the `default` slot React.lazy expects.
+const DashboardPage = lazy(() =>
+  import("@/pages/DashboardPage").then((m) => ({ default: m.DashboardPage }))
+);
+const DocumentsPage = lazy(() =>
+  import("@/pages/DocumentsPage").then((m) => ({ default: m.DocumentsPage }))
+);
+const IngestionJobsPage = lazy(() =>
+  import("@/pages/IngestionJobsPage").then((m) => ({ default: m.IngestionJobsPage }))
+);
+const SearchPage = lazy(() =>
+  import("@/pages/SearchPage").then((m) => ({ default: m.SearchPage }))
+);
+const DocumentViewerPage = lazy(() =>
+  import("@/pages/DocumentViewerPage").then((m) => ({ default: m.DocumentViewerPage }))
+);
+const TablesFiguresPage = lazy(() =>
+  import("@/pages/TablesFiguresPage").then((m) => ({ default: m.TablesFiguresPage }))
+);
+const QualityControlPage = lazy(() =>
+  import("@/pages/QualityControlPage").then((m) => ({ default: m.QualityControlPage }))
+);
+const SystemHealthPage = lazy(() =>
+  import("@/pages/SystemHealthPage").then((m) => ({ default: m.SystemHealthPage }))
+);
+const SettingsPage = lazy(() =>
+  import("@/pages/SettingsPage").then((m) => ({ default: m.SettingsPage }))
+);
+
+function RouteFallback() {
+  return (
+    <div className="space-y-4 animate-in fade-in-0">
+      <Skeleton className="h-9 w-1/3" />
+      <Skeleton className="h-5 w-2/3" />
+      <div className="grid grid-cols-1 gap-4 md:grid-cols-2 xl:grid-cols-4">
+        {Array.from({ length: 4 }).map((_, i) => (
+          <Skeleton key={i} className="h-28" />
+        ))}
+      </div>
+      <Skeleton className="h-72" />
+    </div>
+  );
+}
+
+function withSuspense(node: React.ReactNode) {
+  return <Suspense fallback={<RouteFallback />}>{node}</Suspense>;
+}
 
 export const router = createBrowserRouter([
   {
     element: <AppShell />,
     children: [
-      { path: "/", element: <DashboardPage /> },
-      { path: "/documents", element: <DocumentsPage /> },
-      { path: "/ingestion", element: <IngestionJobsPage /> },
-      { path: "/search", element: <SearchPage /> },
-      { path: "/viewer", element: <DocumentViewerPage /> },
-      { path: "/viewer/:id", element: <DocumentViewerPage /> },
-      { path: "/tables-figures", element: <TablesFiguresPage /> },
-      { path: "/quality", element: <QualityControlPage /> },
-      { path: "/health", element: <SystemHealthPage /> },
-      { path: "/settings", element: <SettingsPage /> },
+      { path: "/", element: withSuspense(<DashboardPage />) },
+      { path: "/documents", element: withSuspense(<DocumentsPage />) },
+      { path: "/ingestion", element: withSuspense(<IngestionJobsPage />) },
+      { path: "/search", element: withSuspense(<SearchPage />) },
+      { path: "/viewer", element: withSuspense(<DocumentViewerPage />) },
+      { path: "/viewer/:id", element: withSuspense(<DocumentViewerPage />) },
+      { path: "/tables-figures", element: withSuspense(<TablesFiguresPage />) },
+      { path: "/quality", element: withSuspense(<QualityControlPage />) },
+      { path: "/health", element: withSuspense(<SystemHealthPage />) },
+      { path: "/settings", element: withSuspense(<SettingsPage />) },
       { path: "*", element: <Navigate to="/" replace /> },
     ],
   },

frontend/src/services/apiClient.ts

@@ -1,11 +1,15 @@
 import axios, { type AxiosInstance, type AxiosError } from "axios";
 
 const BASE_URL = import.meta.env.VITE_API_BASE_URL ?? "/api/v1";
+const API_KEY = import.meta.env.VITE_API_KEY ?? "";
+
+const defaultHeaders: Record<string, string> = { "Content-Type": "application/json" };
+if (API_KEY) defaultHeaders["X-API-Key"] = API_KEY;
 
 export const apiClient: AxiosInstance = axios.create({
   baseURL: BASE_URL,
   timeout: 60_000,
-  headers: { "Content-Type": "application/json" },
+  headers: defaultHeaders,
 });
 
 apiClient.interceptors.response.use(

frontend/src/services/types.ts

@@ -47,6 +47,7 @@ export interface SearchHit {
   citation: Citation;
   quality_flags: QualityFlags;
   metadata: Record<string, unknown>;
+  ocr_confidence?: number | null;
 }
 
 export interface SearchResponse {

frontend/src/vite-env.d.ts

@@ -4,6 +4,7 @@ interface ImportMetaEnv {
   readonly VITE_API_BASE_URL?: string;
   readonly VITE_USE_MOCK?: string;
   readonly VITE_APP_NAME?: string;
+  readonly VITE_API_KEY?: string;
 }
 
 interface ImportMeta {

frontend/src/widgets/SearchResultCard.tsx

@@ -20,9 +20,7 @@ interface Props {
 }
 
 export function SearchResultCard({ hit, query, active, onSelect, reranked }: Props) {
-  const ocrConf =
-    (hit.metadata as { ocr_confidence?: number })?.ocr_confidence ??
-    null;
+  const ocrConf = hit.ocr_confidence ?? null;
   return (
     <motion.button
       layout

frontend/vite.config.ts

@@ -22,5 +22,32 @@ export default defineConfig({
   build: {
     outDir: "dist",
     sourcemap: true,
+    chunkSizeWarningLimit: 800,
+    rollupOptions: {
+      output: {
+        // Split heavy third-party libs into their own long-lived chunks so
+        // page-level chunks stay small and the vendor cache is reused across
+        // releases.
+        manualChunks: (id) => {
+          if (!id.includes("node_modules")) return undefined;
+          if (id.includes("recharts") || id.includes("d3-")) return "vendor-recharts";
+          if (id.includes("framer-motion")) return "vendor-motion";
+          if (id.includes("@radix-ui") || id.includes("cmdk")) return "vendor-radix";
+          if (id.includes("@tanstack")) return "vendor-tanstack";
+          if (id.includes("react-router")) return "vendor-router";
+          if (id.includes("axios")) return "vendor-axios";
+          if (id.includes("lucide-react")) return "vendor-lucide";
+          if (id.includes("zustand")) return "vendor-state";
+          if (id.includes("sonner")) return "vendor-toast";
+          if (
+            id.includes("react/") ||
+            id.includes("react-dom") ||
+            id.includes("scheduler")
+          )
+            return "vendor-react";
+          return "vendor";
+        },
+      },
+    },
   },
 });

pyproject.toml

@@ -12,54 +12,59 @@ license = { text = "Apache-2.0" }
 readme = "README.md"
 
 dependencies = [
-    "fastapi>=0.115.0",
-    "uvicorn[standard]>=0.30.0",
-    "pydantic>=2.7.0",
-    "pydantic-settings>=2.4.0",
+    "fastapi>=0.115.0,<0.117",
+    "uvicorn[standard]>=0.30.0,<0.33",
+    "pydantic>=2.7.0,<3",
+    "pydantic-settings>=2.4.0,<3",
     "python-multipart>=0.0.9",
 
     # DB
-    "sqlalchemy>=2.0.30",
-    "psycopg[binary]>=3.2.0",
-    "alembic>=1.13.0",
+    "sqlalchemy>=2.0.30,<2.1",
+    "psycopg[binary]>=3.2.0,<3.3",
+    "alembic>=1.13.0,<1.14",
 
     # Object storage
-    "minio>=7.2.7",
+    "minio>=7.2.7,<8",
 
     # Search/index
-    "opensearch-py>=2.6.0",
-    "qdrant-client>=1.10.0",
+    "opensearch-py>=2.6.0,<3",
+    "qdrant-client>=1.10.0,<1.13",
 
     # Workers
-    "celery>=5.4.0",
-    "redis>=5.0.7",
+    "celery>=5.4.0,<6",
+    "redis>=5.0.7,<6",
 
-    # Ingestion
-    "ocrmypdf>=16.4.0",
-    "pikepdf>=9.0.0",
-    "pypdf>=4.3.0",
+    # Ingestion - pin Docling tight since its DocumentConverter API
+    # still moves between minor releases; lift the upper bound only
+    # after a smoke test on a staging corpus.
+    "ocrmypdf>=16.4.0,<17",
+    "pikepdf>=9.0.0,<10",
+    "pypdf>=4.3.0,<6",
     "pdfminer.six>=20240706",
-    "docling>=2.0.0",
+    "docling>=2.0.0,<2.15",
 
-    # ML
-    "FlagEmbedding>=1.3.0",
-    "sentence-transformers>=3.0.0",
-    "torch>=2.2.0",
-    "numpy>=1.26.0",
-    "transformers>=4.42.0",
+    # ML - pin Flag/sentence-transformers/transformers within the
+    # families that have been verified against the reranker contract
+    # tests. Torch follows the family-major pin to keep CUDA wheels
+    # discoverable.
+    "FlagEmbedding>=1.3.0,<2",
+    "sentence-transformers>=3.0.0,<4",
+    "torch>=2.2.0,<3",
+    "numpy>=1.26.0,<3",
+    "transformers>=4.42.0,<5",
 
     # Misc
-    "httpx>=0.27.0",
-    "tenacity>=8.5.0",
-    "structlog>=24.2.0",
-    "orjson>=3.10.0",
+    "httpx>=0.27.0,<0.29",
+    "tenacity>=8.5.0,<10",
+    "structlog>=24.2.0,<26",
+    "orjson>=3.10.0,<4",
     "python-magic>=0.4.27; platform_system != 'Windows'",
     "python-magic-bin>=0.4.14; platform_system == 'Windows'",
-    "langdetect>=1.0.9",
+    "langdetect>=1.0.9,<2",
     "regex>=2024.5.15",
-    "rich>=13.7.1",
-    "tqdm>=4.66.4",
-    "click>=8.1.7",
+    "rich>=13.7.1,<14",
+    "tqdm>=4.66.4,<5",
+    "click>=8.1.7,<9",
 ]
 
 [project.optional-dependencies]

scripts/benchmark_reranker.py

@@ -0,0 +1,195 @@
+"""Reranker latency / throughput benchmark.
+
+Measures BGE-reranker-v2-m3 (or whatever ``RERANKER_MODEL`` resolves to)
+against synthetic or live corpus passages and prints the standard set of
+percentiles plus throughput. Use this on staging hardware to verify whether
+the configured device meets the latency budget before committing to a target
+top-K.
+
+Usage:
+
+  # 1) synthetic warm-up (no DB / OpenSearch needed)
+  python scripts/benchmark_reranker.py --queries 32 --candidates 40 \
+                                       --passage-length 700 --warmup 4
+
+  # 2) live corpus pull (samples real chunks from OpenSearch)
+  python scripts/benchmark_reranker.py --source opensearch \
+                                       --query "ГОСТ 21.501-93" \
+                                       --candidates 40
+
+Outputs JSON to stdout and a markdown summary table.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import statistics
+import sys
+import time
+from dataclasses import asdict, dataclass
+
+from app.config import settings
+from app.indexing.reranker import get_reranker
+from app.logging_config import configure_logging, get_logger
+
+configure_logging()
+logger = get_logger(__name__)
+
+
+@dataclass
+class BenchResult:
+    model: str
+    device: str
+    queries: int
+    candidates_per_query: int
+    passage_chars: int
+    warmup: int
+    p50_ms: float
+    p95_ms: float
+    p99_ms: float
+    mean_ms: float
+    pairs_per_sec: float
+    wall_seconds: float
+
+
+def percentile(values: list[float], q: float) -> float:
+    if not values:
+        return 0.0
+    s = sorted(values)
+    idx = max(0, min(len(s) - 1, int(round((q / 100.0) * (len(s) - 1)))))
+    return s[idx]
+
+
+def synthetic_passages(n: int, chars: int) -> list[str]:
+    seed = "ГОСТ 21.501-93 определяет правила выполнения архитектурно-строительных рабочих чертежей. "
+    base = (seed * ((chars // len(seed)) + 2))[:chars]
+    return [f"[{i}] {base}" for i in range(n)]
+
+
+def synthetic_queries(n: int) -> list[str]:
+    samples = [
+        "ГОСТ 21.501-93 рабочие чертежи",
+        "класс бетона B25",
+        "журнал ремонтов узлов",
+        "правила производства земляных работ",
+        "схема электропитания корпус 3",
+        "контроль качества сварных соединений",
+        "регламент технического обслуживания",
+    ]
+    return [samples[i % len(samples)] for i in range(n)]
+
+
+def passages_from_opensearch(query: str, top_k: int) -> list[str]:
+    from app.indexing.opensearch_client import get_opensearch
+    res = get_opensearch().search(
+        index=settings.opensearch_index_chunks,
+        body={
+            "size": top_k,
+            "query": {"multi_match": {"query": query, "fields": ["text", "text.ru", "text.en"]}},
+            "_source": ["text"],
+        },
+        request_timeout=30,
+    )
+    return [h["_source"]["text"] for h in res["hits"]["hits"] if h["_source"].get("text")]
+
+
+def run(
+    queries: list[str],
+    candidates_per_query: int,
+    passage_chars: int,
+    warmup: int,
+    source: str,
+) -> BenchResult:
+    reranker = get_reranker()
+    if not reranker.available:
+        print("ERROR: reranker model failed to load", file=sys.stderr)
+        sys.exit(2)
+
+    # Warmup so JIT / weight loading does not skew p50.
+    if warmup > 0:
+        warm = synthetic_passages(candidates_per_query, passage_chars)
+        for q in queries[:warmup] or [queries[0]]:
+            reranker.score(q, warm)
+
+    latencies_ms: list[float] = []
+    pair_count = 0
+    t0 = time.perf_counter()
+    for q in queries:
+        if source == "opensearch":
+            passages = passages_from_opensearch(q, candidates_per_query)
+            if len(passages) < candidates_per_query:
+                passages += synthetic_passages(candidates_per_query - len(passages), passage_chars)
+        else:
+            passages = synthetic_passages(candidates_per_query, passage_chars)
+        start = time.perf_counter()
+        reranker.score(q, passages)
+        latencies_ms.append((time.perf_counter() - start) * 1000.0)
+        pair_count += len(passages)
+    wall = time.perf_counter() - t0
+
+    return BenchResult(
+        model=reranker.model_name,
+        device=reranker.device,
+        queries=len(queries),
+        candidates_per_query=candidates_per_query,
+        passage_chars=passage_chars,
+        warmup=warmup,
+        p50_ms=percentile(latencies_ms, 50),
+        p95_ms=percentile(latencies_ms, 95),
+        p99_ms=percentile(latencies_ms, 99),
+        mean_ms=statistics.fmean(latencies_ms),
+        pairs_per_sec=pair_count / wall if wall > 0 else 0.0,
+        wall_seconds=wall,
+    )
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--queries", type=int, default=32)
+    parser.add_argument("--candidates", type=int, default=settings.rerank_candidates)
+    parser.add_argument("--passage-length", type=int, default=700,
+                        help="Synthetic passage character length")
+    parser.add_argument("--warmup", type=int, default=2)
+    parser.add_argument("--source", choices=["synthetic", "opensearch"], default="synthetic")
+    parser.add_argument("--query", type=str, default=None,
+                        help="Single query to use against OpenSearch (with --source opensearch)")
+    parser.add_argument("--json-only", action="store_true")
+    args = parser.parse_args()
+
+    if args.source == "opensearch" and args.query:
+        queries = [args.query] * args.queries
+    else:
+        queries = synthetic_queries(args.queries)
+
+    result = run(
+        queries=queries,
+        candidates_per_query=args.candidates,
+        passage_chars=args.passage_length,
+        warmup=args.warmup,
+        source=args.source,
+    )
+
+    payload = asdict(result)
+    print(json.dumps(payload, indent=2))
+
+    if not args.json_only:
+        print()
+        print("| Metric              | Value           |")
+        print("|---------------------|-----------------|")
+        print(f"| Model               | {result.model} |")
+        print(f"| Device              | {result.device} |")
+        print(f"| Queries             | {result.queries} |")
+        print(f"| Candidates / query  | {result.candidates_per_query} |")
+        print(f"| Passage chars       | {result.passage_chars} |")
+        print(f"| p50 latency         | {result.p50_ms:.1f} ms |")
+        print(f"| p95 latency         | {result.p95_ms:.1f} ms |")
+        print(f"| p99 latency         | {result.p99_ms:.1f} ms |")
+        print(f"| mean latency        | {result.mean_ms:.1f} ms |")
+        print(f"| Throughput          | {result.pairs_per_sec:.1f} pairs/s |")
+        print(f"| Wall time           | {result.wall_seconds:.2f} s |")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/generate_synthetic_pdfs.py

@@ -0,0 +1,150 @@
+"""Generate N synthetic single-page PDFs for load testing the ingest pipeline.
+
+Each PDF carries 4-8 paragraphs of seeded English + Cyrillic text. The
+generator embeds text via the standard Helvetica font, which only covers
+latin-1 - Cyrillic glyphs render as placeholders. That is acceptable for a
+*load* generator: the focus is throughput at scale, not retrieval relevance.
+For semantic regression tests, use a real corpus sample instead.
+
+Output directory layout::
+
+  <out>/2025-LOAD/
+    legacy_00001.pdf
+    legacy_00002.pdf
+    ...
+
+Usage:
+
+  python scripts/generate_synthetic_pdfs.py --count 1000 --out /data/input/load
+  python scripts/generate_synthetic_pdfs.py --count 100 --out ./tmp --scanned-every 5
+"""
+
+from __future__ import annotations
+
+import argparse
+import random
+import sys
+from pathlib import Path
+
+try:
+    from pypdf import PdfWriter
+except Exception:  # noqa: BLE001
+    PdfWriter = None  # type: ignore[assignment]
+
+try:
+    import pikepdf
+except Exception:  # noqa: BLE001
+    pikepdf = None  # type: ignore[assignment]
+
+
+PAGE_W = 595  # A4 @ 72 dpi (close enough)
+PAGE_H = 842
+
+SAMPLE_SENTENCES_RU = [
+    "ГОСТ 21.501-93 определяет правила выполнения архитектурно-строительных чертежей.",
+    "Класс бетона B25 применяется для несущих конструкций нижних этажей.",
+    "Все размеры приведены в миллиметрах, если иное не указано.",
+    "Контроль качества сварных соединений выполняется в соответствии с регламентом.",
+    "Технологический регламент технического обслуживания пересматривается ежегодно.",
+    "При производстве работ при пониженных температурах требуется дополнительное обогрев.",
+]
+SAMPLE_SENTENCES_EN = [
+    "The drawing follows the conventions established in the project specification.",
+    "All measurements are reported in SI units and validated against the cited standard.",
+    "Service intervals are detailed in the maintenance schedule appended at the back.",
+    "Quality control checkpoints precede each acceptance handoff.",
+]
+
+
+def make_text_pdf(path: Path, doc_id: int, rng: random.Random) -> None:
+    """Build a real, structurally valid PDF directly via PDF primitives.
+
+    We avoid heavy dependencies (reportlab) for the hot path; pypdf only writes
+    the container. Text is embedded as a content stream using the built-in
+    Helvetica font.
+    """
+    if PdfWriter is None:
+        raise RuntimeError("pypdf is required (pip install pypdf>=4.3)")
+
+    n_paragraphs = rng.randint(4, 8)
+    paragraphs = []
+    for _ in range(n_paragraphs):
+        sents = rng.sample(SAMPLE_SENTENCES_RU + SAMPLE_SENTENCES_EN,
+                           k=rng.randint(2, 4))
+        paragraphs.append(" ".join(sents))
+
+    body = f"Legacy archive document #{doc_id}\n\n" + "\n\n".join(paragraphs)
+    _write_minimal_pdf(path, body)
+
+
+def _write_minimal_pdf(path: Path, body: str) -> None:
+    """Hand-write a 1-page PDF with Helvetica text. Keeps the file under 4 KB
+    so the load generator scales to tens of thousands of documents on a laptop.
+    """
+    # Escape PDF special chars
+    body_escaped = (body.replace("\\", "\\\\")
+                        .replace("(", "\\(")
+                        .replace(")", "\\)"))
+    lines = body_escaped.split("\n")
+    leading = 14
+    y_start = PAGE_H - 72
+    stream_lines = []
+    for i, line in enumerate(lines[:50]):  # cap visible lines
+        y = y_start - i * leading
+        stream_lines.append(f"BT /F1 11 Tf 72 {y} Td ({line}) Tj ET")
+    content_stream = "\n".join(stream_lines) + "\n"
+    content_bytes = content_stream.encode("latin-1", errors="replace")
+
+    objs = []
+    objs.append(b"<< /Type /Catalog /Pages 2 0 R >>")
+    objs.append(b"<< /Type /Pages /Count 1 /Kids [3 0 R] >>")
+    objs.append(
+        f"<< /Type /Page /Parent 2 0 R /Resources << /Font << /F1 5 0 R >> >>"
+        f" /MediaBox [0 0 {PAGE_W} {PAGE_H}] /Contents 4 0 R >>".encode("latin-1")
+    )
+    objs.append(
+        b"<< /Length " + str(len(content_bytes)).encode("ascii") + b" >>\nstream\n"
+        + content_bytes + b"endstream"
+    )
+    objs.append(b"<< /Type /Font /Subtype /Type1 /BaseFont /Helvetica >>")
+
+    output = bytearray(b"%PDF-1.4\n%\xE2\xE3\xCF\xD3\n")
+    offsets = [0]
+    for i, obj in enumerate(objs, start=1):
+        offsets.append(len(output))
+        output += f"{i} 0 obj\n".encode("ascii") + obj + b"\nendobj\n"
+    xref_offset = len(output)
+    output += b"xref\n"
+    output += f"0 {len(objs) + 1}\n".encode("ascii")
+    output += b"0000000000 65535 f \n"
+    for off in offsets[1:]:
+        output += f"{off:010d} 00000 n \n".encode("ascii")
+    output += b"trailer\n"
+    output += f"<< /Size {len(objs) + 1} /Root 1 0 R >>\n".encode("ascii")
+    output += b"startxref\n"
+    output += f"{xref_offset}\n".encode("ascii")
+    output += b"%%EOF\n"
+    path.write_bytes(bytes(output))
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--count", type=int, required=True)
+    parser.add_argument("--out", type=Path, required=True)
+    parser.add_argument("--seed", type=int, default=20260513)
+    args = parser.parse_args()
+
+    args.out.mkdir(parents=True, exist_ok=True)
+    rng = random.Random(args.seed)
+
+    for i in range(1, args.count + 1):
+        target = args.out / f"legacy_{i:06d}.pdf"
+        make_text_pdf(target, i, rng)
+        if i % 500 == 0:
+            print(f"  generated {i}/{args.count}")
+    print(f"done: {args.count} files in {args.out}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/load_ingest.py

@@ -0,0 +1,108 @@
+"""Drive ingest at scale and report per-stage throughput.
+
+This script does NOT itself run OCR/Docling - it triggers
+``POST /api/v1/ingest/folder`` and then samples the ``documents`` /
+``processing_events`` tables to compute throughput.
+
+Usage:
+
+  # 1. Generate synthetic PDFs
+  python scripts/generate_synthetic_pdfs.py --count 1000 --out /data/input/load
+
+  # 2. Trigger ingest + watch
+  python scripts/load_ingest.py \
+      --path /data/input/load \
+      --api-url http://localhost:8000/api/v1 \
+      --watch-seconds 600 \
+      --report-file load_report.json
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import sys
+import time
+from collections import Counter
+from pathlib import Path
+
+import httpx
+
+
+def trigger_ingest(api_url: str, folder: str, force: bool = False) -> dict:
+    res = httpx.post(
+        f"{api_url}/ingest/folder",
+        json={"path": folder, "recursive": True, "force": force},
+        timeout=600,
+    )
+    res.raise_for_status()
+    return res.json()
+
+
+def sample_status(api_url: str) -> dict[str, int]:
+    """Aggregate document statuses from a backend endpoint or the database.
+
+    The current API does not expose /documents/stats; we fall back to /health
+    only as a liveness probe and rely on the caller to inspect Postgres for
+    real counts. To keep the script self-contained we attempt a hypothetical
+    ``GET /documents/stats`` first and degrade silently.
+    """
+    try:
+        res = httpx.get(f"{api_url}/documents/stats", timeout=10)
+        if res.status_code == 200:
+            return res.json().get("by_status", {})
+    except Exception:  # noqa: BLE001
+        pass
+    return {}
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--path", required=True, help="Folder mounted in the api container")
+    parser.add_argument("--api-url", default="http://localhost:8000/api/v1")
+    parser.add_argument("--watch-seconds", type=int, default=600)
+    parser.add_argument("--poll-interval", type=int, default=10)
+    parser.add_argument("--force", action="store_true")
+    parser.add_argument("--report-file", type=Path, default=None)
+    args = parser.parse_args()
+
+    print(f"[load] trigger {args.path}")
+    enqueue = trigger_ingest(args.api_url, args.path, force=args.force)
+    print(f"[load] enqueue response: {json.dumps(enqueue)}")
+
+    started = time.time()
+    history: list[dict] = []
+    last_status: Counter[str] = Counter()
+
+    while (time.time() - started) < args.watch_seconds:
+        snap = Counter(sample_status(args.api_url))
+        delta = snap - last_status
+        elapsed = round(time.time() - started, 1)
+        print(f"[load] t+{elapsed:>6}s {dict(snap)} delta={dict(delta)}")
+        history.append({"t": elapsed, "snapshot": dict(snap)})
+        last_status = snap
+        # Heuristic stop: queued count from enqueue all reached terminal status.
+        terminal = sum(
+            snap.get(s, 0)
+            for s in ("INDEXING_COMPLETED", "FAILED", "OCR_FAILED", "EXTRACTION_FAILED")
+        )
+        if terminal >= enqueue.get("queued", 0) > 0:
+            print("[load] all queued docs reached terminal status")
+            break
+        time.sleep(args.poll_interval)
+
+    report = {
+        "enqueue": enqueue,
+        "watch_seconds": time.time() - started,
+        "history": history,
+        "final": dict(last_status),
+    }
+    print(json.dumps(report, indent=2))
+    if args.report_file:
+        args.report_file.write_text(json.dumps(report, indent=2), encoding="utf-8")
+        print(f"[load] wrote {args.report_file}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/locustfile_search.py

@@ -0,0 +1,72 @@
+"""Locust load profile for the LegacyHUB hybrid search API.
+
+Run:
+
+  pip install locust
+  locust -f scripts/locustfile_search.py \
+         --host http://localhost:8000 \
+         --users 50 --spawn-rate 5 --run-time 5m
+
+Or headless with HTML report:
+
+  locust -f scripts/locustfile_search.py --host http://localhost:8000 \
+         --headless --users 100 --spawn-rate 10 --run-time 10m \
+         --html load_search.html
+"""
+
+from __future__ import annotations
+
+import random
+
+from locust import HttpUser, between, task
+
+
+QUERIES = [
+    "ГОСТ 21.501-93 рабочие чертежи",
+    "класс бетона B25",
+    "регламент технического обслуживания",
+    "контроль качества сварных соединений",
+    "схема электропитания корпус 3",
+    "журнал ремонтов узлов",
+    "правила производства земляных работ",
+    "акты приемки скрытых работ",
+    "fundament concrete grade",
+    "maintenance schedule appendix",
+]
+
+MODES = ["hybrid", "hybrid", "hybrid", "lexical", "semantic"]
+
+
+class SearchUser(HttpUser):
+    wait_time = between(0.5, 2.5)
+    api_prefix = "/api/v1"
+
+    @task(8)
+    def hybrid_search(self):
+        body = {
+            "query": random.choice(QUERIES),
+            "limit": random.choice([5, 10, 20]),
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": random.choice(MODES),
+        }
+        with self.client.post(
+            f"{self.api_prefix}/search",
+            json=body,
+            name="POST /search",
+            catch_response=True,
+        ) as res:
+            if res.status_code != 200:
+                res.failure(f"HTTP {res.status_code}: {res.text[:120]}")
+                return
+            data = res.json()
+            if not data.get("results"):
+                res.failure("empty results")
+
+    @task(1)
+    def health(self):
+        self.client.get(f"{self.api_prefix}/health", name="GET /health")

tests/test_alembic.py

@@ -0,0 +1,75 @@
+"""Alembic migration smoke test.
+
+We do not boot a real Postgres in CI; instead we point Alembic at an in-process
+SQLite database and verify:
+
+- ``alembic upgrade head`` succeeds offline (SQL generation) using the real
+  migration files, exercising every column type and constraint declaration;
+- ``downgrade base`` rewinds without errors.
+
+This catches typos and broken migration ordering early without requiring the
+full backing-service compose stack to be online.
+"""
+
+from __future__ import annotations
+
+import os
+import sys
+from pathlib import Path
+
+import pytest
+
+ROOT = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(ROOT))
+
+
+@pytest.fixture
+def alembic_cfg(tmp_path, monkeypatch):
+    """Configure Alembic against an isolated SQLite file."""
+    db_file = tmp_path / "legacyhub.db"
+    monkeypatch.setenv("POSTGRES_HOST", "127.0.0.1")
+    monkeypatch.setenv("POSTGRES_PORT", "5432")
+    # Force a fresh Settings + Alembic env that ignores the configured PG.
+    from alembic.config import Config
+
+    cfg = Config(str(ROOT / "alembic.ini"))
+    cfg.set_main_option("script_location", str(ROOT / "app" / "db" / "migrations"))
+    cfg.set_main_option("sqlalchemy.url", f"sqlite:///{db_file}")
+    return cfg
+
+
+def test_migration_offline_emits_sql(alembic_cfg, tmp_path):
+    """Offline mode generates SQL for every table; verify ``documents`` appears
+    and at least one JSONB-equivalent column is rendered. SQLite has no JSONB
+    but Alembic's offline mode happily emits the raw DDL for inspection.
+    """
+    from alembic import command
+
+    out_file = tmp_path / "upgrade.sql"
+    # ``--sql`` mode bypasses dialect-specific runtime, perfect for a fast check.
+    with out_file.open("w", encoding="utf-8") as f:
+        old_stdout = sys.stdout
+        sys.stdout = f
+        try:
+            command.upgrade(alembic_cfg, "head", sql=True)
+        finally:
+            sys.stdout = old_stdout
+
+    sql = out_file.read_text(encoding="utf-8")
+    assert "CREATE TABLE documents" in sql
+    assert "CREATE TABLE chunks" in sql
+    assert "CREATE TABLE processing_events" in sql
+    # Constraint sanity
+    assert "uq_chunks_doc_idx" in sql
+    assert "uq_pages_doc_page" in sql
+
+
+def test_revision_history_is_linear(alembic_cfg):
+    """The current project has a single linear history at 0001_initial."""
+    from alembic.script import ScriptDirectory
+
+    script = ScriptDirectory.from_config(alembic_cfg)
+    heads = script.get_heads()
+    assert len(heads) == 1, f"expected one head, got: {heads}"
+    initial = next(iter(script.walk_revisions()))
+    assert initial.revision == "0001_initial"

tests/test_api_health.py

@@ -0,0 +1,104 @@
+"""Contract test for /health.
+
+Patches the individual probe functions so the test does not depend on a live
+Postgres / MinIO / OpenSearch / Qdrant / Redis. Verifies:
+
+- the route is mounted under the configured API prefix;
+- the response shape conforms to ``HealthResponse``;
+- the overall status follows the worst-component-wins rule
+  (``ok`` -> ``ok``, any ``error`` -> ``error``, ``degraded`` otherwise);
+- the CORS preflight responds with the configured allowed origin.
+"""
+
+from __future__ import annotations
+
+import pytest
+
+from fastapi.testclient import TestClient
+
+from app.api.schemas import ComponentHealth
+from app.config import settings
+from app.main import app
+
+
+@pytest.fixture
+def client() -> TestClient:
+    return TestClient(app)
+
+
+def _ok(name: str) -> ComponentHealth:
+    return ComponentHealth(name=name, status="ok", detail={})
+
+
+def _err(name: str) -> ComponentHealth:
+    return ComponentHealth(name=name, status="error", detail={"error": "down"})
+
+
+def _degraded(name: str) -> ComponentHealth:
+    return ComponentHealth(name=name, status="degraded", detail={"cluster_status": "red"})
+
+
+def _patch_probes(monkeypatch, **overrides):
+    from app.api import routes_health
+
+    defaults = {
+        "_check_postgres": lambda: _ok("postgres"),
+        "_check_minio": lambda: _ok("minio"),
+        "_check_opensearch": lambda: _ok("opensearch"),
+        "_check_qdrant": lambda: _ok("qdrant"),
+        "_check_redis": lambda: _ok("redis"),
+    }
+    defaults.update(overrides)
+    for name, fn in defaults.items():
+        monkeypatch.setattr(routes_health, name, fn)
+
+
+def test_health_all_ok(client: TestClient, monkeypatch):
+    _patch_probes(monkeypatch)
+    res = client.get(f"{settings.app_api_prefix}/health")
+    assert res.status_code == 200
+    body = res.json()
+    assert body["status"] == "ok"
+    assert {c["name"] for c in body["components"]} == {
+        "postgres",
+        "minio",
+        "opensearch",
+        "qdrant",
+        "redis",
+    }
+
+
+def test_health_error_when_any_component_down(client: TestClient, monkeypatch):
+    _patch_probes(monkeypatch, _check_qdrant=lambda: _err("qdrant"))
+    res = client.get(f"{settings.app_api_prefix}/health")
+    assert res.status_code == 200
+    body = res.json()
+    assert body["status"] == "error"
+    qdrant = next(c for c in body["components"] if c["name"] == "qdrant")
+    assert qdrant["status"] == "error"
+
+
+def test_health_degraded_when_any_component_degraded(client: TestClient, monkeypatch):
+    _patch_probes(monkeypatch, _check_opensearch=lambda: _degraded("opensearch"))
+    res = client.get(f"{settings.app_api_prefix}/health")
+    body = res.json()
+    assert body["status"] == "degraded"
+
+
+def test_root_includes_api_prefix(client: TestClient):
+    res = client.get("/")
+    assert res.status_code == 200
+    assert res.json()["api"] == settings.app_api_prefix
+
+
+def test_cors_preflight_allows_configured_origin(client: TestClient):
+    origin = settings.cors_origins[0]
+    res = client.options(
+        f"{settings.app_api_prefix}/health",
+        headers={
+            "Origin": origin,
+            "Access-Control-Request-Method": "GET",
+        },
+    )
+    assert res.status_code == 200
+    assert res.headers.get("access-control-allow-origin") == origin

tests/test_api_security.py

@@ -0,0 +1,167 @@
+"""Tests for the optional API-key auth middleware."""
+
+from __future__ import annotations
+
+import importlib
+
+import pytest
+
+from fastapi.testclient import TestClient
+
+
+KEY = "test-secret-key-DO-NOT-USE-IN-PROD"
+
+
+@pytest.fixture
+def secured_app(monkeypatch):
+    """Reload the FastAPI application with API_KEY set so the middleware
+    installs itself before the lifespan starts. Returns a TestClient bound to
+    that fresh app instance.
+    """
+    monkeypatch.setenv("API_KEY", KEY)
+
+    # Drop cached Settings and main so the new env vars are picked up.
+    import app.config as cfg
+    import app.main as main_module
+
+    cfg.get_settings.cache_clear()
+    importlib.reload(cfg)
+    importlib.reload(main_module)
+    return main_module.app
+
+
+def _patch_health(monkeypatch, module):
+    from app.api.schemas import ComponentHealth
+
+    def _ok(name):
+        return ComponentHealth(name=name, status="ok", detail={})
+
+    for name in (
+        "_check_postgres",
+        "_check_minio",
+        "_check_opensearch",
+        "_check_qdrant",
+        "_check_redis",
+    ):
+        monkeypatch.setattr(module, name, lambda n=name: _ok(n.removeprefix("_check_")))
+
+
+def test_health_remains_open_when_key_required(secured_app, monkeypatch):
+    from app.api import routes_health
+    from app.config import settings
+
+    _patch_health(monkeypatch, routes_health)
+    client = TestClient(secured_app)
+    res = client.get(f"{settings.app_api_prefix}/health")
+    assert res.status_code == 200
+
+
+def test_protected_route_rejects_missing_key(secured_app, monkeypatch):
+    from app.config import settings
+    from app.indexing import hybrid_search
+
+    monkeypatch.setattr(hybrid_search, "run_search", lambda req: pytest.fail("must not run"))
+
+    client = TestClient(secured_app)
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        json={
+            "query": "anything",
+            "limit": 1,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+    assert res.status_code == 401
+    assert res.json()["detail"].startswith("invalid")
+
+
+def test_protected_route_accepts_x_api_key_header(secured_app, monkeypatch):
+    from app.config import settings
+    from app.indexing import hybrid_search
+    from app.api.schemas import SearchResponse
+
+    monkeypatch.setattr(
+        hybrid_search,
+        "run_search",
+        lambda req: SearchResponse(
+            query=req.query, mode=req.search_mode, total_candidates=0, reranked=False, results=[]
+        ),
+    )
+
+    client = TestClient(secured_app)
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        headers={"X-API-Key": KEY},
+        json={
+            "query": "x",
+            "limit": 1,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+    assert res.status_code == 200
+
+
+def test_protected_route_accepts_bearer_token(secured_app, monkeypatch):
+    from app.config import settings
+    from app.indexing import hybrid_search
+    from app.api.schemas import SearchResponse
+
+    monkeypatch.setattr(
+        hybrid_search,
+        "run_search",
+        lambda req: SearchResponse(
+            query=req.query, mode=req.search_mode, total_candidates=0, reranked=False, results=[]
+        ),
+    )
+
+    client = TestClient(secured_app)
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        headers={"Authorization": f"Bearer {KEY}"},
+        json={
+            "query": "x",
+            "limit": 1,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+    assert res.status_code == 200
+
+
+def test_protected_route_rejects_wrong_key(secured_app):
+    from app.config import settings
+
+    client = TestClient(secured_app)
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        headers={"X-API-Key": "wrong"},
+        json={
+            "query": "x",
+            "limit": 1,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+    assert res.status_code == 401

tests/test_routes_search.py

@@ -0,0 +1,130 @@
+"""Contract test for POST /search.
+
+The hybrid search backend depends on live OpenSearch + Qdrant + embedder; we
+patch :func:`app.indexing.hybrid_search.run_search` so the route can be
+exercised with the real request/response schemas without bringing infra up.
+"""
+
+from __future__ import annotations
+
+import uuid
+
+import pytest
+
+from fastapi.testclient import TestClient
+
+from app.api.schemas import (
+    Citation,
+    SearchHit,
+    SearchResponse,
+)
+from app.config import settings
+from app.main import app
+
+
+@pytest.fixture
+def client() -> TestClient:
+    return TestClient(app)
+
+
+def _stub_response(query: str) -> SearchResponse:
+    doc_id = uuid.uuid4()
+    chunk_id = uuid.uuid4()
+    return SearchResponse(
+        query=query,
+        mode="hybrid",
+        total_candidates=42,
+        reranked=True,
+        results=[
+            SearchHit(
+                rank=1,
+                score=0.91,
+                document_id=doc_id,
+                chunk_id=chunk_id,
+                original_file_name="GOST_21.501-93.pdf",
+                source_path="/data/input/standards/GOST_21.501-93.pdf",
+                page_number=12,
+                block_type="paragraph",
+                text=f"Highlighted text for {query}.",
+                citation=Citation(
+                    pdf="GOST_21.501-93.pdf",
+                    page=12,
+                    block_id="b-12-0",
+                    table_id=None,
+                    figure_id=None,
+                ),
+                quality_flags={"low_ocr_confidence": False, "needs_manual_review": False},
+                metadata={"section_heading": "Глава 2"},
+            )
+        ],
+    )
+
+
+def test_search_returns_hit_with_citation(client: TestClient, monkeypatch):
+    from app.api import routes_search as routes
+    from app.indexing import hybrid_search
+
+    def fake_run(req):
+        assert req.query
+        return _stub_response(req.query)
+
+    monkeypatch.setattr(hybrid_search, "run_search", fake_run)
+    # The route imports run_search lazily; patch the module-level binding too.
+    monkeypatch.setattr(routes, "run_search", fake_run, raising=False)
+
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        json={
+            "query": "ГОСТ 21.501-93",
+            "limit": 10,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+
+    assert res.status_code == 200, res.text
+    body = res.json()
+    assert body["query"] == "ГОСТ 21.501-93"
+    assert body["mode"] == "hybrid"
+    assert body["reranked"] is True
+    assert body["total_candidates"] == 42
+    assert len(body["results"]) == 1
+
+    hit = body["results"][0]
+    assert hit["rank"] == 1
+    assert hit["page_number"] == 12
+    assert hit["block_type"] == "paragraph"
+    assert hit["citation"]["pdf"] == "GOST_21.501-93.pdf"
+    assert hit["citation"]["page"] == 12
+    assert hit["citation"]["block_id"] == "b-12-0"
+
+
+def test_search_rejects_empty_query(client: TestClient, monkeypatch):
+    """Schema validation should reject empty query without hitting the backend."""
+    from app.indexing import hybrid_search
+
+    def must_not_run(_req):  # noqa: ARG001
+        raise AssertionError("backend should not be called for invalid input")
+
+    monkeypatch.setattr(hybrid_search, "run_search", must_not_run)
+
+    res = client.post(
+        f"{settings.app_api_prefix}/search",
+        json={
+            "query": "",
+            "limit": 10,
+            "filters": {
+                "document_id": None,
+                "source_path": None,
+                "block_type": None,
+                "min_ocr_confidence": None,
+            },
+            "search_mode": "hybrid",
+        },
+    )
+    assert res.status_code == 422