diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..6fec3c2 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,20 @@ +# Changelog + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/) and [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +--- +## [0.1.1] - 2026-03-20 + +### Added + +- **Campaign orchestration** — new `orchestration` module that manages the full lifecycle of an RF data collection campaign: SDR capture, automatic labeling, QA checks, and dataset packaging. +- **HTTP inference server** — `ria-server` command starts a REST API server for deploying campaigns and controlling live inference from external systems such as the RIA Hub platform. +- **Campaign CLI** — `ria campaign` commands for starting, monitoring, and managing campaigns from the terminal. + +### Changed + +- **Visualization layout** — recording and dataset views have been reformatted with improved sizing, repositioned titles, and updated Qoherent branding. + +--- diff --git a/poetry.lock b/poetry.lock index 86d581f..db5aab1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. 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"ria_toolkit_oss_cli.cli:cli" ria-tools = "ria_toolkit_oss_cli.cli:cli" +ria-server = "ria_toolkit_oss.server.cli:serve" +ria-agent = "ria_toolkit_oss.agent:main" + +[tool.poetry.group.server.dependencies] +fastapi = ">=0.111,<1.0" +uvicorn = {version = ">=0.29,<1.0", extras = ["standard"]} +onnxruntime = ">=1.17,<2.0" [tool.black] line-length = 119 @@ -127,5 +144,8 @@ exclude = ''' )/ ''' +[tool.pytest.ini_options] +pythonpath = ["src"] + [tool.isort] profile = "black" diff --git a/src/ria_toolkit_oss/agent.py b/src/ria_toolkit_oss/agent.py new file mode 100644 index 0000000..4bb152c --- /dev/null +++ b/src/ria_toolkit_oss/agent.py @@ -0,0 +1,462 @@ +"""RT-OSS Node Agent — connects to RIA Hub and dispatches work to local hardware. + +The agent runs on any machine with an SDR attached and connects **outbound** to +RIA Hub. No inbound ports need to be opened on the user's machine, and the +connection works identically through NAT, corporate firewalls, or a Pi on a +cellular link. + +Usage:: + + ria-agent \\ + --hub https://riahub.company.com \\ + --key \\ + --name lab-bench-1 \\ + [--device plutosdr] \\ + [--insecure] + +The agent: + 1. Registers with RIA Hub and receives a ``node_id``. + 2. Sends a heartbeat every 30 s so the hub knows it is online. + 3. Long-polls ``GET /orchestrator/nodes/{id}/commands`` (30 s timeout). + 4. Executes received campaigns via :class:`ria_toolkit_oss.orchestration.executor.CampaignExecutor`. + 5. Uploads recordings to the hub via chunked POST, keeping each request + under 50 MB so it passes through Cloudflare without needing the bypass + subdomain. + 6. Deregisters cleanly on SIGINT / SIGTERM. +""" + +from __future__ import annotations + +import logging +import math +import os +import signal +import sys +import threading +import time +import uuid +from typing import Any + +logger = logging.getLogger("ria_agent") + +# --------------------------------------------------------------------------- +# Tuneable constants +# --------------------------------------------------------------------------- + +_HEARTBEAT_INTERVAL = 30 # seconds between heartbeats +_POLL_TIMEOUT = 30 # server-side long-poll duration +_POLL_CLIENT_TIMEOUT = 40 # client read timeout — slightly longer than server +_RECONNECT_PAUSE = 5 # seconds to wait after a poll error before retrying +_CHUNK_SIZE = 50 * 1024 * 1024 # 50 MB — well below Cloudflare's 100 MB limit +_DIRECT_THRESHOLD = 90 * 1024 * 1024 # files above this use chunked upload + + +# --------------------------------------------------------------------------- +# Agent +# --------------------------------------------------------------------------- + + +class NodeAgent: + """Outbound-connecting agent that bridges RIA Hub to local SDR hardware. + + All network I/O is initiated by the agent (outbound). RIA Hub never opens + a connection back to the agent's machine. + """ + + def __init__( + self, + hub_url: str, + api_key: str, + name: str, + sdr_device: str = "unknown", + insecure: bool = False, + ) -> None: + self.hub_url = hub_url.rstrip("/") + self.api_key = api_key + self.name = name + self.sdr_device = sdr_device + self.insecure = insecure + + self.node_id: str | None = None + self._stop = threading.Event() + + try: + import ria_toolkit_oss + + self._ria_version: str = getattr(ria_toolkit_oss, "__version__", "unknown") + except Exception: + self._ria_version = "unknown" + + # ------------------------------------------------------------------ + # Public entry point + # ------------------------------------------------------------------ + + def run(self) -> None: + """Register, start the heartbeat thread, and enter the command loop. + + Blocks until SIGINT or SIGTERM is received. + """ + self._register() + + def _shutdown(sig: int, _frame: Any) -> None: + logger.info("Shutdown signal received — stopping agent") + self._stop.set() + + signal.signal(signal.SIGINT, _shutdown) + signal.signal(signal.SIGTERM, _shutdown) + + hb = threading.Thread(target=self._heartbeat_loop, daemon=True, name="ria-agent-heartbeat") + hb.start() + + logger.info("Agent %r online (node_id=%s, hub=%s)", self.name, self.node_id, self.hub_url) + + try: + self._command_loop() + finally: + self._stop.set() + self._deregister() + + # ------------------------------------------------------------------ + # Registration + # ------------------------------------------------------------------ + + def _register(self) -> None: + resp = self._post( + "/orchestrator/nodes/register", + json={ + "name": self.name, + "sdr_device": self.sdr_device, + "ria_toolkit_version": self._ria_version, + "capabilities": ["inference", "campaign"], + }, + timeout=15, + ) + resp.raise_for_status() + self.node_id = resp.json()["node_id"] + logger.info("Registered as %r (node_id=%s)", self.name, self.node_id) + + def _deregister(self) -> None: + if not self.node_id: + return + try: + self._delete(f"/orchestrator/nodes/{self.node_id}", timeout=10) + logger.info("Deregistered %s", self.node_id) + except Exception as exc: + logger.debug("Deregister failed (ignored on shutdown): %s", exc) + + # ------------------------------------------------------------------ + # Heartbeat thread + # ------------------------------------------------------------------ + + def _heartbeat_loop(self) -> None: + while not self._stop.wait(_HEARTBEAT_INTERVAL): + try: + resp = self._post(f"/orchestrator/nodes/{self.node_id}/heartbeat", timeout=10) + if resp.status_code == 404: + logger.warning("Heartbeat got 404 — hub lost registration, re-registering") + self._register() + except Exception as exc: + logger.warning("Heartbeat failed: %s", exc) + + # ------------------------------------------------------------------ + # Command poll loop + # ------------------------------------------------------------------ + + def _command_loop(self) -> None: + while not self._stop.is_set(): + try: + resp = self._get( + f"/orchestrator/nodes/{self.node_id}/commands", + timeout=_POLL_CLIENT_TIMEOUT, + ) + if resp.status_code == 204: + # No command within the timeout window — loop immediately. + continue + if resp.status_code == 404: + logger.warning("Command poll got 404 — re-registering") + self._register() + continue + resp.raise_for_status() + cmd = resp.json() + logger.info("Received command: %s", cmd.get("command")) + self._dispatch(cmd) + except Exception as exc: + if not self._stop.is_set(): + logger.warning("Command poll error: %s — retrying in %ds", exc, _RECONNECT_PAUSE) + time.sleep(_RECONNECT_PAUSE) + + # ------------------------------------------------------------------ + # Command dispatch + # ------------------------------------------------------------------ + + def _dispatch(self, cmd: dict) -> None: + command = cmd.get("command") + if command == "run_campaign": + campaign_id: str = cmd.get("campaign_id") or str(uuid.uuid4()) + config_dict: dict = cmd.get("payload") or {} + threading.Thread( + target=self._run_campaign, + args=(campaign_id, config_dict), + daemon=True, + name=f"campaign-{campaign_id[:8]}", + ).start() + else: + logger.warning("Unknown command %r — ignored", command) + + # ------------------------------------------------------------------ + # Campaign execution + # ------------------------------------------------------------------ + + def _run_campaign(self, campaign_id: str, config_dict: dict) -> None: + try: + from ria_toolkit_oss.orchestration.campaign import CampaignConfig + from ria_toolkit_oss.orchestration.executor import CampaignExecutor + except ImportError as exc: + logger.error( + "Campaign %s cannot start — ria_toolkit_oss not fully installed: %s", + campaign_id[:8], + exc, + ) + return + + logger.info("Campaign %s starting", campaign_id[:8]) + try: + config = CampaignConfig.from_dict(config_dict) + executor = CampaignExecutor(config) + result = executor.run() + logger.info("Campaign %s completed — uploading recordings", campaign_id[:8]) + self._upload_recordings(campaign_id, config, result) + except Exception as exc: + logger.error("Campaign %s failed: %s", campaign_id[:8], exc) + + # ------------------------------------------------------------------ + # Recording upload (chunked for large files) + # ------------------------------------------------------------------ + + def _upload_recordings(self, campaign_id: str, config: Any, result: Any) -> None: + output_repo: str | None = getattr(getattr(config, "output", None), "repo", None) + if not output_repo or "/" not in output_repo: + logger.warning("Campaign %s: no output.repo — skipping upload", campaign_id[:8]) + return + + repo_owner, repo_name = output_repo.split("/", 1) + base_url = f"{self.hub_url}/datasets/upload" + steps = getattr(result, "steps", None) or [] + + for step in steps: + output_path: str | None = getattr(step, "output_path", None) + if not output_path: + continue + device_id: str = getattr(step, "transmitter_id", "") or "" + for fpath in _sigmf_files(output_path): + filename = os.path.basename(fpath) + metadata = { + "filename": filename, + "repo_owner": repo_owner, + "repo_name": repo_name, + "device_id": device_id, + "campaign_id": campaign_id, + } + try: + resp_data = self._upload_file(base_url, fpath, metadata) + logger.info( + "Campaign %s: uploaded %s (oid=%s)", + campaign_id[:8], + filename, + resp_data.get("oid", "?"), + ) + except Exception as exc: + logger.warning("Campaign %s: upload of %s failed: %s", campaign_id[:8], filename, exc) + + def _upload_file(self, base_url: str, file_path: str, metadata: dict) -> dict: + """Upload *file_path*, choosing chunked or direct path based on file size.""" + import requests as _requests + + size = os.path.getsize(file_path) + filename = os.path.basename(file_path) + headers = {"X-API-Key": self.api_key} + verify = not self.insecure + + # Small files: single POST (unchanged endpoint, no assembly needed server-side). + if size <= _DIRECT_THRESHOLD: + with open(file_path, "rb") as fh: + resp = _requests.post( + base_url, + headers=headers, + files={"file": (filename, fh)}, + data=metadata, + timeout=300, + verify=verify, + ) + resp.raise_for_status() + return resp.json() + + # Large files: chunked upload — each request is ≤ 50 MB. + total_chunks = math.ceil(size / _CHUNK_SIZE) + upload_id = str(uuid.uuid4()) + chunk_url = base_url + "/chunk" + + logger.info( + "Chunked upload: %s (%d bytes, %d × %d MB chunks)", + filename, + size, + total_chunks, + _CHUNK_SIZE // (1024 * 1024), + ) + + resp_data: dict = {} + with open(file_path, "rb") as fh: + for i in range(total_chunks): + chunk = fh.read(_CHUNK_SIZE) + resp = _requests.post( + chunk_url, + headers=headers, + files={"file": (filename, chunk, "application/octet-stream")}, + data={ + **metadata, + "upload_id": upload_id, + "chunk_index": i, + "total_chunks": total_chunks, + }, + timeout=120, + verify=verify, + ) + if not resp.ok: + raise RuntimeError( + f"Chunk {i + 1}/{total_chunks} failed: " f"HTTP {resp.status_code}: {resp.text[:300]}" + ) + resp_data = resp.json() + logger.debug("Chunk %d/%d uploaded", i + 1, total_chunks) + + return resp_data + + # ------------------------------------------------------------------ + # HTTP helpers + # ------------------------------------------------------------------ + + def _get(self, path: str, **kwargs: Any): + import requests as _requests + + return _requests.get( + f"{self.hub_url}{path}", + headers={"X-API-Key": self.api_key}, + verify=not self.insecure, + **kwargs, + ) + + def _post(self, path: str, **kwargs: Any): + import requests as _requests + + return _requests.post( + f"{self.hub_url}{path}", + headers={"X-API-Key": self.api_key}, + verify=not self.insecure, + **kwargs, + ) + + def _delete(self, path: str, **kwargs: Any): + import requests as _requests + + return _requests.delete( + f"{self.hub_url}{path}", + headers={"X-API-Key": self.api_key}, + verify=not self.insecure, + **kwargs, + ) + + +# --------------------------------------------------------------------------- +# Helpers +# --------------------------------------------------------------------------- + + +def _sigmf_files(data_path: str) -> list[str]: + """Return paths to both SigMF files (.sigmf-data and .sigmf-meta) for a recording.""" + candidates = [data_path] + if data_path.endswith(".sigmf-data"): + candidates.append(data_path[: -len(".sigmf-data")] + ".sigmf-meta") + return [p for p in candidates if os.path.exists(p)] + + +# --------------------------------------------------------------------------- +# CLI entry point +# --------------------------------------------------------------------------- + + +def main() -> None: + import argparse + + parser = argparse.ArgumentParser( + prog="ria-agent", + description=( + "RT-OSS Node Agent — connects outbound to RIA Hub and executes " + "campaigns / inference on local SDR hardware." + ), + ) + parser.add_argument( + "--hub", + required=True, + metavar="URL", + help="RIA Hub base URL, e.g. https://riahub.company.com", + ) + parser.add_argument( + "--key", + required=True, + metavar="API_KEY", + help="Shared API key (must match [wac] API_KEY in the hub's app.ini)", + ) + parser.add_argument( + "--name", + required=True, + metavar="NAME", + help='Human-readable name shown in the Target Node dropdown, e.g. "lab-bench-1"', + ) + parser.add_argument( + "--device", + default="unknown", + metavar="SDR", + help=( + "SDR device type reported to the hub (informational only). " + "Examples: plutosdr, usrp_b210, rtlsdr, mock. Default: unknown" + ), + ) + parser.add_argument( + "--insecure", + action="store_true", + help="Disable TLS certificate verification (dev/self-signed certs only)", + ) + parser.add_argument( + "--log-level", + default="INFO", + choices=["DEBUG", "INFO", "WARNING", "ERROR"], + help="Logging verbosity (default: INFO)", + ) + + args = parser.parse_args() + + logging.basicConfig( + level=getattr(logging, args.log_level), + format="%(asctime)s [%(levelname)s] %(name)s: %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + stream=sys.stderr, + ) + + # Warn loudly if --insecure is used outside of development. + if args.insecure: + logger.warning( + "--insecure disables TLS certificate verification. " + "Only use this for local development with self-signed certs." + ) + + agent = NodeAgent( + hub_url=args.hub, + api_key=args.key, + name=args.name, + sdr_device=args.device, + insecure=args.insecure, + ) + agent.run() + + +if __name__ == "__main__": + main() diff --git a/src/ria_toolkit_oss/datatypes/datasets/dataset_builder.py b/src/ria_toolkit_oss/datatypes/datasets/dataset_builder.py index 241bbdf..fa34130 100644 --- a/src/ria_toolkit_oss/datatypes/datasets/dataset_builder.py +++ b/src/ria_toolkit_oss/datatypes/datasets/dataset_builder.py @@ -21,7 +21,8 @@ class DatasetBuilder(ABC): """ _url: str = abstract_attribute() - _SHA256: str # SHA256 checksum. + _SHA256: Optional[str] = None # SHA256 checksum. + _MD5: Optional[str] = None # MD5 checksum. _name: str = abstract_attribute() _author: str = abstract_attribute() _license: DatasetLicense = abstract_attribute() diff --git a/src/ria_toolkit_oss/datatypes/datasets/h5helpers.py b/src/ria_toolkit_oss/datatypes/datasets/h5helpers.py index f990025..d35a771 100644 --- a/src/ria_toolkit_oss/datatypes/datasets/h5helpers.py +++ b/src/ria_toolkit_oss/datatypes/datasets/h5helpers.py @@ -109,13 +109,10 @@ def copy_file(original_source: str | os.PathLike, new_source: str | os.PathLike) :return: None """ - original_file = h5py.File(original_source, "r") - - with h5py.File(new_source, "w") as new_file: - for key in original_file.keys(): - original_file.copy(key, new_file) - - original_file.close() + with h5py.File(original_source, "r") as original_file: + with h5py.File(new_source, "w") as new_file: + for key in original_file.keys(): + original_file.copy(key, new_file) def make_empty_clone(original_source: str | os.PathLike, new_source: str | os.PathLike, example_length: int) -> None: @@ -172,8 +169,10 @@ def delete_example_inplace(source: str | os.PathLike, idx: int) -> None: with h5py.File(source, "a") as f: ds, md = f["data"], f["metadata/metadata"] m, c, n = ds.shape - assert 0 <= idx <= m - 1 - assert len(ds) == len(md) + if not (0 <= idx <= m - 1): + raise IndexError(f"Index {idx} out of range [0, {m - 1}]") + if len(ds) != len(md): + raise ValueError("Data and metadata array lengths do not match") new_ds = f.create_dataset( "data.temp", @@ -218,4 +217,3 @@ def overwrite_file(source: str | os.PathLike, new_data: np.ndarray) -> None: ds_name = tuple(f.keys())[0] del f[ds_name] f.create_dataset(ds_name, data=new_data) - f.close() diff --git a/src/ria_toolkit_oss/datatypes/datasets/iq_dataset.py b/src/ria_toolkit_oss/datatypes/datasets/iq_dataset.py index 992b7d0..bb7164c 100644 --- a/src/ria_toolkit_oss/datatypes/datasets/iq_dataset.py +++ b/src/ria_toolkit_oss/datatypes/datasets/iq_dataset.py @@ -169,8 +169,10 @@ class IQDataset(RadioDataset, ABC): """ if split_factor is not None and example_length is not None: - # Raise warning and use split factor - raise Warning("split_factor and example_length should not both be specified.") + # Warn and use split factor + import warnings + + warnings.warn("split_factor and example_length should not both be specified.") if not inplace: # ds = self.create_new_dataset(example_length=example_length) diff --git a/src/ria_toolkit_oss/datatypes/datasets/radio_dataset.py b/src/ria_toolkit_oss/datatypes/datasets/radio_dataset.py index cf3fd23..eea94c5 100644 --- a/src/ria_toolkit_oss/datatypes/datasets/radio_dataset.py +++ b/src/ria_toolkit_oss/datatypes/datasets/radio_dataset.py @@ -255,7 +255,9 @@ class RadioDataset(ABC): else: classes_to_augment = classes_to_augment.encode("utf-8") if classes_to_augment not in class_sizes: - raise ValueError(f"class name of {i} does not belong to the class key of {class_key}") + raise ValueError( + f"class name of {classes_to_augment} does not belong to the class key of {class_key}" + ) result_sizes = get_result_sizes( level=level, target_size=target_size, classes_to_augment=classes_to_augment, class_sizes=class_sizes @@ -375,7 +377,7 @@ class RadioDataset(ABC): counters[key] = counters.get(key, 0) idx = 0 - with h5py.File(self.source, "a") as f: + with h5py.File(self.source, "r") as f: while idx < len(self): labels = f["metadata/metadata"][class_key] current_class = labels[idx] @@ -514,7 +516,7 @@ class RadioDataset(ABC): idx = 0 - with h5py.File(self.source, "a") as f: + with h5py.File(self.source, "r") as f: while idx < len(self): labels = f["metadata/metadata"][class_key] current_class = labels[idx] diff --git a/src/ria_toolkit_oss/datatypes/datasets/split.py b/src/ria_toolkit_oss/datatypes/datasets/split.py index d70b9a9..4ef7faf 100644 --- a/src/ria_toolkit_oss/datatypes/datasets/split.py +++ b/src/ria_toolkit_oss/datatypes/datasets/split.py @@ -247,7 +247,7 @@ def _validate_sublists(list_of_lists: list[list[str]], ids: list[str]) -> None: """Ensure that each ID is present in one and only one sublist.""" all_elements = [item for sublist in list_of_lists for item in sublist] - assert len(all_elements) == len(set(all_elements)) and list(set(ids)).sort() == list(set(all_elements)).sort() + assert len(all_elements) == len(set(all_elements)) and sorted(set(ids)) == sorted(set(all_elements)) def _generate_split_source_filenames( diff --git a/src/ria_toolkit_oss/datatypes/recording.py b/src/ria_toolkit_oss/datatypes/recording.py index 1faec21..11989f9 100644 --- a/src/ria_toolkit_oss/datatypes/recording.py +++ b/src/ria_toolkit_oss/datatypes/recording.py @@ -146,7 +146,7 @@ class Recording: self._metadata["timestamp"] = time.time() else: if not isinstance(self._metadata["timestamp"], (int, float)): - raise ValueError("timestamp must be int or float, not ", type(self._metadata["timestamp"])) + raise ValueError(f"timestamp must be int or float, not {type(self._metadata['timestamp'])}") if "rec_id" not in self.metadata: self._metadata["rec_id"] = generate_recording_id(data=self.data, timestamp=self._metadata["timestamp"]) @@ -393,6 +393,7 @@ class Recording: """ if key not in self.metadata: self.add_to_metadata(key=key, value=value) + return if not _is_jsonable(value): raise ValueError("Value must be JSON serializable.") @@ -444,7 +445,7 @@ class Recording: 'rec_id': 'fda0f41...'} # Example value """ if key not in PROTECTED_KEYS: - self._metadata.pop(key) + self._metadata.pop(key, None) else: raise ValueError(f"Key {key} is protected and cannot be modified or removed.") @@ -601,7 +602,7 @@ class Recording: >>> recording = Recording(data=samples, metadata=metadata) >>> recording.to_wav() """ - from utils.io.recording import to_wav + from ria_toolkit_oss.io.recording import to_wav return to_wav( recording=self, @@ -651,7 +652,7 @@ class Recording: >>> recording = Recording(data=samples, metadata=metadata) >>> recording.to_blue() """ - from utils.io.recording import to_blue + from ria_toolkit_oss.io.recording import to_blue return to_blue(recording=self, filename=filename, path=path, data_format=data_format, overwrite=overwrite) @@ -702,7 +703,14 @@ class Recording: data = self.data[:, start_sample:end_sample] new_annotations = copy.deepcopy(self.annotations) + trimmed_annotations = [] for annotation in new_annotations: + # skip annotations entirely outside the trim window + if annotation.sample_start + annotation.sample_count <= start_sample: + continue + if annotation.sample_start >= end_sample: + continue + # trim annotation if it goes outside the trim boundaries if annotation.sample_start < start_sample: annotation.sample_count = annotation.sample_count - (start_sample - annotation.sample_start) @@ -713,8 +721,9 @@ class Recording: # shift annotation to align with the new start point annotation.sample_start = annotation.sample_start - start_sample + trimmed_annotations.append(annotation) - return Recording(data=data, metadata=self.metadata, annotations=new_annotations) + return Recording(data=data, metadata=self.metadata, annotations=trimmed_annotations) def normalize(self) -> Recording: """Scale the recording data, relative to its maximum value, so that the magnitude of the maximum sample is 1. @@ -743,7 +752,10 @@ class Recording: >>> print(numpy.max(numpy.abs(normalized_recording.data))) 1 """ - scaled_data = self.data / np.max(abs(self.data)) + max_val = np.max(abs(self.data)) + if max_val == 0: + raise ValueError("Cannot normalize a recording with all-zero data.") + scaled_data = self.data / max_val return Recording(data=scaled_data, metadata=self.metadata, annotations=self.annotations) def __len__(self) -> int: diff --git a/src/ria_toolkit_oss/io/recording.py b/src/ria_toolkit_oss/io/recording.py index f162be6..ae38bc8 100644 --- a/src/ria_toolkit_oss/io/recording.py +++ b/src/ria_toolkit_oss/io/recording.py @@ -4,10 +4,12 @@ Utilities for input/output operations on the ria_toolkit_oss.datatypes.Recording import datetime import datetime as dt +import json import numbers import os import re import struct +import warnings from datetime import timezone from typing import Any, List, Optional @@ -91,15 +93,35 @@ def to_npy( metadata = recording.metadata annotations = recording.annotations - with open(file=fullpath, mode="wb") as f: - np.save(f, data) - np.save(f, metadata) - np.save(f, annotations) + # Serialize metadata and annotations as JSON to avoid pickle-based deserialization. + # JSON is safe; pickle allows arbitrary code execution when loading untrusted files. + metadata_bytes = json.dumps(convert_to_serializable(metadata)).encode() + annotations_bytes = json.dumps([a.__dict__ for a in annotations]).encode() + + with open(file=fullpath, mode="wb") as f: + # Write format version marker first so from_npy can detect the safe JSON format. + np.save(f, np.array("ria-toolkit-oss-v2")) + np.save(f, data) + np.save(f, np.frombuffer(metadata_bytes, dtype=np.uint8)) + np.save(f, np.frombuffer(annotations_bytes, dtype=np.uint8)) - # print(f"Saved recording to {os.getcwd()}/{fullpath}") return str(fullpath) +_NPY_MAGIC = b"\x93NUMPY" + + +def _check_npy_magic(filepath: str) -> None: + """Raise ValueError if the file does not start with the NumPy magic bytes.""" + try: + with open(filepath, "rb") as f: + header = f.read(6) + except OSError as e: + raise IOError(f"Cannot open file for validation: {filepath}") from e + if header != _NPY_MAGIC: + raise ValueError(f"File does not appear to be a valid NumPy .npy file (bad magic bytes): {filepath}") + + def from_npy(file: os.PathLike | str, legacy: bool = False) -> Recording: """Load a recording from a ``.npy`` binary file. @@ -126,14 +148,37 @@ def from_npy(file: os.PathLike | str, legacy: bool = False) -> Recording: if legacy: return from_npy_legacy(filename) + _check_npy_magic(filename) + with open(file=filename, mode="rb") as f: - data = np.load(f, allow_pickle=True) - metadata = np.load(f, allow_pickle=True) - metadata = metadata.tolist() - try: - annotations = list(np.load(f, allow_pickle=True)) - except EOFError: - annotations = [] + first = np.load(f, allow_pickle=False) + + if first.ndim == 0 and first.dtype.kind in ("U", "S") and str(first) == "ria-toolkit-oss-v2": + # Safe JSON format written by current to_npy. + data = np.load(f, allow_pickle=False) + raw_meta = np.load(f, allow_pickle=False) + metadata = json.loads(raw_meta.tobytes().decode()) + try: + raw_ann = np.load(f, allow_pickle=False) + ann_list = json.loads(raw_ann.tobytes().decode()) + from ria_toolkit_oss.datatypes.annotation import Annotation + + annotations = [Annotation(**a) for a in ann_list] + except EOFError: + annotations = [] + else: + # Legacy pickle-based format. Only load files from trusted sources. + warnings.warn( + "Loading .npy file in legacy pickle format — only load files from trusted sources. " + "Re-save with to_npy() to upgrade to the safe JSON format.", + stacklevel=2, + ) + data = first # already loaded without pickle (numeric array) + metadata = np.load(f, allow_pickle=True).tolist() + try: + annotations = list(np.load(f, allow_pickle=True)) + except EOFError: + annotations = [] recording = Recording(data=data, metadata=metadata, annotations=annotations) return recording @@ -171,14 +216,20 @@ def from_npy_legacy(file: os.PathLike | str) -> Recording: # Rebuild with .npy extension. filename = str(filename) + ".npy" + warnings.warn( + "from_npy_legacy uses pickle deserialization for extended metadata — only load files from trusted sources.", + stacklevel=2, + ) + _check_npy_magic(filename) + with open(filename, "rb") as f: # Read IQ data (2, N) format - iqdata = np.load(f) + iqdata = np.load(f, allow_pickle=False) # Read basic metadata array [center_freq, rec_length, decimation, sample_rate] - meta = np.load(f) + meta = np.load(f, allow_pickle=False) - # Read extended metadata dict + # Read extended metadata dict (legacy format requires pickle) extended_meta = np.load(f, allow_pickle=True)[0] # Convert IQ data from (2, N) to (N,) complex format @@ -279,7 +330,7 @@ def to_sigmf( converted_metadata = { sigmf_key: metadata[metadata_key] for sigmf_key, metadata_key in SIGMF_KEY_CONVERSION.items() - if metadata_key in metadata + if metadata_key in metadata and sigmf_key != SigMFFile.HASH_KEY } # Merge dictionaries, giving priority to sigmf_meta @@ -316,6 +367,8 @@ def to_sigmf( meta_dict = sigMF_metafile.ordered_metadata() meta_dict["ria"] = metadata + if overwrite and os.path.isfile(meta_file_path): + os.remove(meta_file_path) sigMF_metafile.tofile(meta_file_path) @@ -334,9 +387,8 @@ def from_sigmf(file: os.PathLike | str) -> Recording: """ file = str(file) - if len(file) > 11: - if file[-11:-5] != ".sigmf": - file = file + ".sigmf-data" + if not file.endswith((".sigmf-data", ".sigmf-meta", ".sigmf")): + file = file + ".sigmf-data" sigmf_file = sigmffile.fromfile(file) @@ -349,7 +401,7 @@ def from_sigmf(file: os.PathLike | str) -> Recording: # Process core keys if key.startswith("core:"): base_key = key[5:] # Remove 'core:' prefix - converted_key = SIGMF_KEY_CONVERSION.get(base_key, base_key) + converted_key = SIGMF_KEY_CONVERSION.get(key, base_key) # Process ria keys elif key.startswith("ria:"): converted_key = key[4:] # Remove 'ria:' prefix diff --git a/src/ria_toolkit_oss/orchestration/__init__.py b/src/ria_toolkit_oss/orchestration/__init__.py new file mode 100644 index 0000000..2a05ad3 --- /dev/null +++ b/src/ria_toolkit_oss/orchestration/__init__.py @@ -0,0 +1,26 @@ +"""Orchestration layer for automated RF capture campaigns.""" + +from .campaign import ( + CampaignConfig, + CaptureStep, + QAConfig, + RecorderConfig, + TransmitterConfig, +) +from .executor import CampaignExecutor, CampaignResult, StepResult +from .labeler import label_recording +from .qa import QAResult, check_recording + +__all__ = [ + "CampaignConfig", + "CaptureStep", + "QAConfig", + "RecorderConfig", + "TransmitterConfig", + "CampaignExecutor", + "CampaignResult", + "StepResult", + "label_recording", + "QAResult", + "check_recording", +] diff --git a/src/ria_toolkit_oss/orchestration/campaign.py b/src/ria_toolkit_oss/orchestration/campaign.py new file mode 100644 index 0000000..9d96c96 --- /dev/null +++ b/src/ria_toolkit_oss/orchestration/campaign.py @@ -0,0 +1,490 @@ +"""Campaign configuration schema and YAML parser for orchestrated RF captures.""" + +from __future__ import annotations + +import re +from dataclasses import dataclass, field +from pathlib import Path +from typing import Optional + +import yaml + +# Allowed characters in campaign names when used as filename components. +_SAFE_NAME_RE = re.compile(r"[^a-zA-Z0-9_\-]") + +# Reasonable RF bounds for consumer/research SDR hardware. +_FREQ_MIN_HZ = 1.0 # 1 Hz +_FREQ_MAX_HZ = 300e9 # 300 GHz +_GAIN_MIN_DB = -30.0 +_GAIN_MAX_DB = 120.0 + +# --------------------------------------------------------------------------- +# Parsing helpers +# --------------------------------------------------------------------------- + + +def parse_duration(value: str | float | int) -> float: + """Parse a duration string to seconds. + + Accepts: + "30s" → 30.0 + "1.5m" or "1.5min" → 90.0 + "2h" → 7200.0 + 30 (numeric) → 30.0 + """ + if isinstance(value, (int, float)): + return float(value) + value = str(value).strip() + match = re.fullmatch(r"([\d.]+)\s*(s|sec|m|min|h|hr)?", value, re.IGNORECASE) + if not match: + raise ValueError(f"Cannot parse duration: '{value}'") + amount = float(match.group(1)) + unit = (match.group(2) or "s").lower() + if unit in ("h", "hr"): + return amount * 3600 + if unit in ("m", "min"): + return amount * 60 + return amount + + +def parse_frequency(value: str | float | int) -> float: + """Parse a frequency string to Hz. + + Accepts: + "2.45GHz" → 2_450_000_000.0 + "40MHz" → 40_000_000.0 + "915e6" → 915_000_000.0 + 2.45e9 (numeric) → 2_450_000_000.0 + """ + if isinstance(value, (int, float)): + result = float(value) + if not (_FREQ_MIN_HZ <= result <= _FREQ_MAX_HZ): + raise ValueError( + f"Frequency {result:.3g} Hz is outside the supported range " + f"({_FREQ_MIN_HZ:.0f} Hz – {_FREQ_MAX_HZ:.3g} Hz)" + ) + return result + value = str(value).strip() + + # Try bare numeric first (handles scientific notation like "915e6") + try: + result = float(value) + except ValueError: + pass + else: + if not (_FREQ_MIN_HZ <= result <= _FREQ_MAX_HZ): + raise ValueError( + f"Frequency {result:.3g} Hz is outside the supported range " + f"({_FREQ_MIN_HZ:.0f} Hz – {_FREQ_MAX_HZ:.3g} Hz): '{value}'" + ) + return result + + # Handle suffix notation: "2.45GHz", "40MHz", "40M", "433k" + match = re.fullmatch(r"([\d.]+)\s*(k|M|G)(?:\s*Hz?)?", value, re.IGNORECASE) + if match: + amount = float(match.group(1)) + suffix = match.group(2).upper() + result = amount * {"K": 1e3, "M": 1e6, "G": 1e9}[suffix] + if not (_FREQ_MIN_HZ <= result <= _FREQ_MAX_HZ): + raise ValueError( + f"Frequency {result:.3g} Hz is outside the supported range " + f"({_FREQ_MIN_HZ:.0f} Hz – {_FREQ_MAX_HZ:.3g} Hz): '{value}'" + ) + return result + + raise ValueError(f"Cannot parse frequency: '{value}'") + + +def parse_gain(value: str | float | int) -> float | str: + """Parse a gain string. + + Accepts: + "40dB" or "40 dB" → 40.0 + "auto" → "auto" + 40 (numeric) → 40.0 + """ + if isinstance(value, (int, float)): + result = float(value) + if not (_GAIN_MIN_DB <= result <= _GAIN_MAX_DB): + raise ValueError(f"Gain {result} dB is outside the supported range ({_GAIN_MIN_DB} – {_GAIN_MAX_DB} dB)") + return result + value = str(value).strip() + if value.lower() == "auto": + return "auto" + match = re.fullmatch(r"([\d.+\-]+)\s*dB?", value, re.IGNORECASE) + if not match: + raise ValueError(f"Cannot parse gain: '{value}'") + result = float(match.group(1)) + if not (_GAIN_MIN_DB <= result <= _GAIN_MAX_DB): + raise ValueError( + f"Gain {result} dB is outside the supported range ({_GAIN_MIN_DB} – {_GAIN_MAX_DB} dB): '{value}'" + ) + return result + + +def parse_bandwidth_mhz(value: str | float | int | None) -> Optional[float]: + """Parse a bandwidth string to MHz. + + Accepts: + "20MHz" → 20.0 + "40MHz" → 40.0 + 20 (numeric, assumed MHz) → 20.0 + None → None + """ + if value is None: + return None + if isinstance(value, (int, float)): + return float(value) + value = str(value).strip() + match = re.fullmatch(r"([\d.]+)\s*MHz?", value, re.IGNORECASE) + if match: + return float(match.group(1)) + match = re.fullmatch(r"([\d.]+)", value) + if match: + return float(match.group(1)) + raise ValueError(f"Cannot parse bandwidth: '{value}'") + + +# --------------------------------------------------------------------------- +# Config dataclasses +# --------------------------------------------------------------------------- + + +@dataclass +class RecorderConfig: + """SDR recorder configuration.""" + + device: str + center_freq: float # Hz + sample_rate: float # Hz + gain: float | str # dB float, or "auto" + bandwidth: Optional[float] = None # Hz, None = match sample_rate + + @classmethod + def from_dict(cls, d: dict) -> "RecorderConfig": + gain = parse_gain(d.get("gain", "auto")) + bandwidth_raw = d.get("bandwidth") or d.get("bandwidth_hz") + bandwidth = parse_frequency(bandwidth_raw) if bandwidth_raw else None + return cls( + device=str(d["device"]), + center_freq=parse_frequency(d["center_freq"]), + sample_rate=parse_frequency(d["sample_rate"]), + gain=gain, + bandwidth=bandwidth, + ) + + +@dataclass +class CaptureStep: + """A single timed capture within a transmitter schedule.""" + + duration: float # seconds + label: str # used as filename component + + # WiFi-specific + channel: Optional[int] = None + bandwidth_mhz: Optional[float] = None # MHz + traffic: Optional[str] = None + + # Bluetooth-specific + connection_interval_ms: Optional[float] = None + + # Power (dBm), optional + power_dbm: Optional[float] = None + + @classmethod + def from_dict(cls, d: dict, auto_label: bool = True) -> "CaptureStep": + duration = parse_duration(d["duration"]) + label = d.get("label", "") + if not label and auto_label: + parts = [] + if d.get("channel"): + parts.append(f"ch{d['channel']:02d}") + if d.get("bandwidth"): + bw = parse_bandwidth_mhz(d["bandwidth"]) + parts.append(f"{int(bw)}mhz") + if d.get("traffic"): + parts.append(str(d["traffic"]).replace(" ", "_")) + label = "_".join(parts) if parts else "capture" + return cls( + duration=duration, + label=label, + channel=d.get("channel"), + bandwidth_mhz=parse_bandwidth_mhz(d.get("bandwidth")), + traffic=d.get("traffic"), + connection_interval_ms=d.get("connection_interval_ms"), + power_dbm=float(d["power"].removesuffix("dBm").strip()) if d.get("power") else None, + ) + + +@dataclass +class TransmitterConfig: + """Configuration for a single transmitter device in the campaign.""" + + id: str + type: str # "wifi", "bluetooth", "sdr", "external" + control_method: str # "external_script" | "sdr" + schedule: list[CaptureStep] + + # For external_script control + script: Optional[str] = None # path to control script + device: Optional[str] = None # e.g. "/dev/wlan0" + + @classmethod + def from_dict(cls, d: dict) -> "TransmitterConfig": + schedule = [CaptureStep.from_dict(s) for s in d.get("schedule", [])] + return cls( + id=str(d["id"]), + type=str(d["type"]), + control_method=str(d.get("control_method", "external_script")), + schedule=schedule, + script=d.get("script"), + device=d.get("device"), + ) + + +@dataclass +class QAConfig: + """Quality assurance thresholds.""" + + snr_threshold_db: float = 10.0 + min_duration_s: float = 25.0 + flag_for_review: bool = True + + @classmethod + def from_dict(cls, d: dict) -> "QAConfig": + return cls( + snr_threshold_db=float(str(d.get("snr_threshold", "10")).rstrip("dB").strip()), + min_duration_s=parse_duration(d.get("min_duration", "25s")), + flag_for_review=bool(d.get("flag_for_review", True)), + ) + + +@dataclass +class OutputConfig: + """Where to save captured recordings.""" + + format: str = "sigmf" + path: str = "recordings" + device_id: Optional[str] = None # for device-profile campaigns + repo: Optional[str] = None + + @classmethod + def from_dict(cls, d: dict) -> "OutputConfig": + return cls( + format=str(d.get("format", "sigmf")), + path=str(d.get("path", "recordings")), + device_id=d.get("device_id"), + repo=d.get("repo"), + ) + + +@dataclass +class CampaignConfig: + """Full campaign configuration parsed from YAML.""" + + name: str + recorder: RecorderConfig + transmitters: list[TransmitterConfig] + qa: QAConfig = field(default_factory=QAConfig) + output: OutputConfig = field(default_factory=OutputConfig) + mode: str = "controlled_testbed" + + # --------------------------------------------------------------------------- + # Loaders + # --------------------------------------------------------------------------- + + @classmethod + def from_dict(cls, raw: dict) -> "CampaignConfig": + """Build a CampaignConfig from a parsed dictionary. + + Accepts the same structure as the campaign YAML, already loaded into + a Python dict (e.g. from a JSON HTTP request body). + + Raises: + ValueError: If required fields are missing or malformed. + KeyError: If ``recorder`` key is absent. + """ + campaign_meta = raw.get("campaign", {}) + transmitters = [TransmitterConfig.from_dict(t) for t in raw.get("transmitters", [])] + if not transmitters: + raise ValueError("Campaign config must define at least one transmitter") + if "recorder" not in raw: + raise ValueError("Campaign config is missing required 'recorder' section") + raw_name = str(campaign_meta.get("name", "unnamed")) + safe_name = _SAFE_NAME_RE.sub("_", raw_name) + return cls( + name=safe_name, + mode=str(campaign_meta.get("mode", "controlled_testbed")), + recorder=RecorderConfig.from_dict(raw["recorder"]), + transmitters=transmitters, + qa=QAConfig.from_dict(raw.get("qa", {})), + output=OutputConfig.from_dict(raw.get("output", {})), + ) + + @classmethod + def from_yaml(cls, path: str | Path) -> "CampaignConfig": + """Load a full campaign config YAML. + + Expected format:: + + campaign: + name: "wifi_capture_001" + mode: "controlled_testbed" + + transmitters: + - id: "laptop_wifi" + type: "wifi" + control_method: "external_script" + script: "./scripts/wifi_control.sh" + device: "/dev/wlan0" + schedule: + - channel: 6 + bandwidth: "20MHz" + traffic: "iperf_udp" + duration: "30s" + + recorder: + device: "usrp_b210" + center_freq: "2.45GHz" + sample_rate: "40MHz" + gain: "40dB" + + qa: + snr_threshold: "10dB" + min_duration: "25s" + flag_for_review: true + + output: + format: "sigmf" + path: "./recordings" + """ + path = Path(path) + try: + with open(path) as f: + raw = yaml.safe_load(f) + except FileNotFoundError: + raise FileNotFoundError(f"Campaign config not found: {path}") + except yaml.YAMLError as e: + raise ValueError(f"Invalid YAML in {path}: {e}") + + campaign_meta = raw.get("campaign", {}) + transmitters = [TransmitterConfig.from_dict(t) for t in raw.get("transmitters", [])] + if not transmitters: + raise ValueError("Campaign config must define at least one transmitter") + if "recorder" not in raw: + raise ValueError(f"Campaign config is missing required 'recorder' section in {path}") + raw_name = str(campaign_meta.get("name", path.stem)) + safe_name = _SAFE_NAME_RE.sub("_", raw_name) + + return cls( + name=safe_name, + mode=str(campaign_meta.get("mode", "controlled_testbed")), + recorder=RecorderConfig.from_dict(raw["recorder"]), + transmitters=transmitters, + qa=QAConfig.from_dict(raw.get("qa", {})), + output=OutputConfig.from_dict(raw.get("output", {})), + ) + + @classmethod + def from_device_profile(cls, path: str | Path) -> "CampaignConfig": + """Build a campaign config from an App 1 device profile YAML. + + Expected format:: + + device: + name: "iPhone_13_WiFi" + type: "wifi" + protocol: "wifi_24ghz" + + capture: + channels: [1, 6, 11] # WiFi only + bandwidth: "20MHz" # WiFi only + traffic_patterns: ["idle", "ping", "iperf_udp"] + duration_per_config: "30s" + + recorder: + device: "usrp_b210" + center_freq: "2.45GHz" + sample_rate: "40MHz" + gain: "auto" + + output: + path: "./recordings" + device_id: "iphone13_wifi_001" + + For WiFi devices, schedule is expanded as channels × traffic_patterns. + For Bluetooth devices (no channels), schedule is traffic_patterns only. + """ + path = Path(path) + try: + with open(path) as f: + raw = yaml.safe_load(f) + except FileNotFoundError: + raise FileNotFoundError(f"Device profile not found: {path}") + except yaml.YAMLError as e: + raise ValueError(f"Invalid YAML in {path}: {e}") + + device = raw.get("device", {}) + capture = raw.get("capture", {}) + device_type = str(device.get("type", "wifi")).lower() + device_name = str(device.get("name", path.stem)) + duration = parse_duration(capture.get("duration_per_config", "30s")) + traffic_patterns = capture.get("traffic_patterns", ["idle"]) + + # Build capture schedule + schedule: list[CaptureStep] = [] + + if device_type in ("wifi", "wifi_24ghz", "wifi_5ghz"): + channels = capture.get("channels", [6]) + bw_str = capture.get("bandwidth", "20MHz") + bw_mhz = parse_bandwidth_mhz(bw_str) + for ch in channels: + for traffic in traffic_patterns: + label = f"ch{ch:02d}_{int(bw_mhz)}mhz_{traffic}" + schedule.append( + CaptureStep( + duration=duration, + label=label, + channel=ch, + bandwidth_mhz=bw_mhz, + traffic=traffic, + ) + ) + else: + # Bluetooth / generic — no channels + for traffic in traffic_patterns: + schedule.append( + CaptureStep( + duration=duration, + label=traffic, + traffic=traffic, + ) + ) + + device_id = raw.get("output", {}).get("device_id", device_name.lower().replace(" ", "_")) + transmitter = TransmitterConfig( + id=device_id, + type=device_type, + control_method=str(capture.get("control_method", "external_script")), + schedule=schedule, + script=capture.get("script"), + device=capture.get("device"), + ) + + return cls( + name=f"enroll_{device_id}", + mode="controlled_testbed", + recorder=RecorderConfig.from_dict(raw["recorder"]), + transmitters=[transmitter], + qa=QAConfig.from_dict(raw.get("qa", {})), + output=OutputConfig.from_dict(raw.get("output", {})), + ) + + def total_capture_time_s(self) -> float: + """Sum of all step durations across all transmitters.""" + return sum(step.duration for tx in self.transmitters for step in tx.schedule) + + def total_steps(self) -> int: + """Total number of capture steps across all transmitters.""" + return sum(len(tx.schedule) for tx in self.transmitters) diff --git a/src/ria_toolkit_oss/orchestration/executor.py b/src/ria_toolkit_oss/orchestration/executor.py new file mode 100644 index 0000000..629c0d8 --- /dev/null +++ b/src/ria_toolkit_oss/orchestration/executor.py @@ -0,0 +1,444 @@ +"""Campaign executor: runs a capture campaign end-to-end.""" + +from __future__ import annotations + +import json +import logging +import subprocess +import time +from dataclasses import dataclass, field +from pathlib import Path +from typing import Callable, Optional + +from ria_toolkit_oss.datatypes.recording import Recording +from ria_toolkit_oss.io.recording import to_sigmf + +from .campaign import CampaignConfig, CaptureStep, TransmitterConfig +from .labeler import build_output_filename, label_recording +from .qa import QAResult, check_recording + +logger = logging.getLogger(__name__) + +# Device name aliases: campaign YAML names → get_sdr_device() names +_DEVICE_ALIASES = { + "usrp_b210": "usrp", + "usrp_b200": "usrp", + "usrp": "usrp", + "plutosdr": "pluto", + "pluto": "pluto", + "hackrf": "hackrf", + "hackrf_one": "hackrf", + "bladerf": "bladerf", + "rtlsdr": "rtlsdr", + "rtl_sdr": "rtlsdr", + "thinkrf": "thinkrf", + # Simulated device — no hardware required + "mock": "mock", + "sim": "mock", +} + + +@dataclass +class StepResult: + """Outcome of a single capture step.""" + + transmitter_id: str + step_label: str + output_path: Optional[str] + qa: QAResult + capture_timestamp: float + error: Optional[str] = None + + @property + def ok(self) -> bool: + return self.error is None and self.qa.passed + + def to_dict(self) -> dict: + return { + "transmitter_id": self.transmitter_id, + "step_label": self.step_label, + "output_path": self.output_path, + "capture_timestamp": self.capture_timestamp, + "qa": self.qa.to_dict(), + "error": self.error, + } + + +@dataclass +class CampaignResult: + """Aggregate outcome of a full campaign.""" + + campaign_name: str + steps: list[StepResult] = field(default_factory=list) + start_time: float = field(default_factory=time.time) + end_time: Optional[float] = None + + @property + def total_steps(self) -> int: + return len(self.steps) + + @property + def passed(self) -> int: + return sum(1 for s in self.steps if s.ok) + + @property + def flagged(self) -> int: + return sum(1 for s in self.steps if not s.error and s.qa.flagged) + + @property + def failed(self) -> int: + return sum(1 for s in self.steps if s.error or not s.qa.passed) + + @property + def duration_s(self) -> float: + if self.end_time: + return self.end_time - self.start_time + return time.time() - self.start_time + + def to_dict(self) -> dict: + return { + "campaign_name": self.campaign_name, + "total_steps": self.total_steps, + "passed": self.passed, + "flagged": self.flagged, + "failed": self.failed, + "duration_s": round(self.duration_s, 1), + "steps": [s.to_dict() for s in self.steps], + } + + def write_report(self, path: str | Path) -> None: + """Write a JSON QA report to disk.""" + path = Path(path) + path.parent.mkdir(parents=True, exist_ok=True) + with open(path, "w") as f: + json.dump(self.to_dict(), f, indent=2) + logger.info(f"QA report written to {path}") + + +# --------------------------------------------------------------------------- +# External script interface +# --------------------------------------------------------------------------- + + +def _run_script(script: str, *args: str, timeout: float = 15.0) -> str: + """Run an external control script and return stdout. + + The script is called as:: + +