# AZ-962 — Operator pre-flight + replay-mode config for Tier-2 Jetson e2e harness.
#
# Consumed by `tests/e2e/replay/conftest.py::_build_operator_pre_flight_cache`
# (the AZ-839 C3 fixture) which `load_config(env, paths=[this])` then drives the
# AZ-840 7-step orchestrator (`test_az835_e2e_real_flight.py`).
#
# Most fields stay at their dataclass defaults (see
# `src/gps_denied_onboard/components/{c6_tile_cache,c7_inference,c10_provisioning,c11_tile_manager}/config.py`).
# The blocks are declared here primarily so the four-component contract the
# fixture skip-gate cites is satisfied by inspection of this file. The env
# vars below are filled by docker-compose.test.jetson.yml / `.env.test`:
#
#   * `GPS_DENIED_FC_PROFILE`, `GPS_DENIED_TIER`, `DB_URL` → runtime
#   * `INFERENCE_BACKEND`, `TILE_CACHE_PATH`, `CAMERA_CALIBRATION_PATH` → runtime
#   * `LOG_LEVEL`, `LOG_SINK` → log
#   * `FDR_PATH` → fdr
#   * `SATELLITE_PROVIDER_URL` → c11_tile_manager.satellite_provider_url
#   * `SATELLITE_PROVIDER_API_KEY` → c11_tile_manager.service_api_key
#
# AZ-965 (2026-05-29): `c10_provisioning.backbones` declares one
# NetVLAD-VGG16 entry pointing at `models/net_vlad/net_vlad.pt`
# (568 MiB git-lfs blob; see `_docs/03_ip_attribution/netvlad.md` for
# provenance — VGG16 encoder = torchvision IMAGENET1K_V1 BSD, NetVLAD
# pool + PCA tail = deterministic-random untrained). Bind-mounted into
# the e2e-runner at `/opt/models` via docker-compose.test.jetson.yml.
# AZ-321 design: NetVLAD runs on the PyTorch FP16 runtime (NOT TRT),
# so the field literally named `onnx_path` here is actually the path
# to the `.pt` PyTorch state_dict the runtime consumes. File stem MUST
# equal `MODEL_NAME == "net_vlad"` from c2_vpr.net_vlad because the
# PyTorch runtime uses `path.stem` as the registry lookup key.

__top__:
  mode: replay

runtime:
  fc_profile: ardupilot_plane
  tier: 2

replay:
  pace: asap
  target_fc_dialect: ardupilot_plane

c6_tile_cache:
  store_runtime: postgres_filesystem
  metadata_runtime: postgres_filesystem
  descriptor_index_runtime: faiss_hnsw
  postgres_pool_size: 4
  lru_eviction_threshold_bytes: 10737418240  # 10 GiB

c7_inference:
  runtime: pytorch_fp16
  thermal_poll_hz: 1.0
  engine_cache_dir: /var/lib/gps-denied/engines
  gpu_memory_budget_bytes: 4294967296  # 4 GiB
  trtexec_timeout_s: 600
  ort_trt_cache_dir: /var/lib/gps-denied/engines/ort_trt_cache

c2_vpr:
  strategy: net_vlad
  backbone_weights_path: /opt/models/net_vlad/net_vlad.pt
  netvlad_descriptor_dim: 4096
  warn_top1_threshold: 0.30
  # faiss_index_path is overlaid at runtime by
  # tests/e2e/replay/_e2e_orchestrator.py::write_effective_replay_config
  # to point at <cache_root>/descriptor.index (the C3 fixture's tmp).

c10_provisioning:
  workspace_mb: 4096
  backbones:
    - model_name: net_vlad
      onnx_path: /opt/models/net_vlad/net_vlad.pt
      expected_input_shape: [3, 480, 480]
      input_name: input

c11_tile_manager:
  # satellite_provider_url + service_api_key flow in from env vars
  # (SATELLITE_PROVIDER_URL / SATELLITE_PROVIDER_API_KEY) via the
  # loader's ENV_KEY_MAP additions in AZ-962.
  upload_batch_size: 25
  upload_http_timeout_s: 30.0
  download_http_timeout_s: 30.0
  download_max_5xx_retries: 4
  download_resolution_floor_m_per_px: 0.5