diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-tests.yml index 5b0d8f45..1e817507 100644 --- a/.github/workflows/run-tests.yml +++ b/.github/workflows/run-tests.yml @@ -47,8 +47,8 @@ jobs: - name: Type checking run: uv run mypy src tests - tests: - name: python-${{ matrix.python-version }} on ${{ matrix.os }} + tests_fast: + name: (fast) python-${{ matrix.python-version }} on ${{ matrix.os }} runs-on: ${{ matrix.os }} @@ -56,8 +56,70 @@ jobs: matrix: os: - ubuntu-latest - # - windows-latest - # - macos-latest + - windows-latest + - macos-latest + python-version: + - "3.10" + - "3.11" + - "3.12" + - "3.13" + + fail-fast: false + + env: + PYTHON_VERSION: ${{ matrix.python-version }} + + steps: + - uses: actions/checkout@v4 + + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + + - name: Cache folder for traffic + uses: actions/cache@v4 + id: cache-folder + with: + path: | + ~/.cache/traffic/ + key: traffic-${{ hashFiles('uv.lock') }} + + - name: Ubuntu system dependencies + run: | + sudo apt update + sudo apt install -y libgdal-dev libgeos-dev libproj-dev proj-bin proj-data + + - name: Install project + run: | + uv sync --dev --all-extras + + - name: Run tests + env: + LD_LIBRARY_PATH: /usr/local/lib + TRAFFIC_NM_PATH: "" + run: | + uv run traffic cache --fill # download files to have in cache first + uv run pytest -m "slow and extra" + + tests_full: + name: (full) python-${{ matrix.python-version }} on ${{ matrix.os }} + + runs-on: ${{ matrix.os }} + + if: ${{ github.event_name != 'pull_request_target' }} + + strategy: + matrix: + os: + - ubuntu-latest + #- windows-latest + #- macos-latest python-version: - "3.10" - "3.11" @@ -119,8 +181,6 @@ jobs: with: path: | ~/.cache/traffic/ - ~/.cache/opensky/ - ~/.cache/cartes/ key: traffic-${{ hashFiles('uv.lock') }} - name: Ubuntu system dependencies @@ -133,24 +193,12 @@ jobs: uv sync --dev --all-extras - name: Run tests - if: ${{ matrix.python-version == '3.12' || steps.cache-folder.outputs.cache-hit == 'true' }} env: LD_LIBRARY_PATH: /usr/local/lib - TRAFFIC_NOPLUGIN: "" - OPENSKY_USERNAME: ${{ secrets.OPENSKY_USERNAME }} - OPENSKY_PASSWORD: ${{ secrets.OPENSKY_PASSWORD }} + TRAFFIC_NM_PATH: /home/runner/work/traffic/traffic/traffic_data/airac_2111 run: | - export TRAFFIC_CONFIG=$(uv run python -c "from traffic import config_file; print(config_file)") - - sed -i "/nm_path =/ s,= $,= $PWD/traffic_data/airac_2111," $TRAFFIC_CONFIG - # sed -i "/pkcs12_filename =/ s,= .*$,= $PWD/traffic_data/CC0000007011_501_openssl.p12," $TRAFFIC_CONFIG - # sed -i "/pkcs12_password =/ s,= $,= $PKCS12_PASSWORD," $TRAFFIC_CONFIG - - # Don't purge OpenSky cache files here :) - sed -i "/purge = / d" $TRAFFIC_CONFIG - uv run traffic cache --fill # download files to have in cache first - uv run pytest --cov --cov-report xml + uv run pytest --cov --cov-report xml -m "" - name: Upload coverage to Codecov if: ${{ github.event_name != 'pull_request_target' }} diff --git a/pyproject.toml b/pyproject.toml index 00e302bb..61e42b19 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ dependencies = [ "py7zr>=0.22.0", "pyarrow>=18.0.0", "pyopensky>=2.11", + "python-dotenv>=1.0.1", "rich>=13.9.4", "rs1090>=0.3.8", "typing-extensions>=4.12.2", @@ -126,7 +127,13 @@ exclude = ["docs/_build"] [tool.pytest.ini_options] -addopts = "--log-level=INFO --color=yes --doctest-modules --doctest-report ndiff" +# add option --durations=10 to get an idea of slow tests +addopts = "--log-level=INFO --color=yes --doctest-modules --doctest-report ndiff -m 'not slow and not extra'" +doctest_optionflags = ["NORMALIZE_WHITESPACE", "ELLIPSIS", "NUMBER"] +markers = [ + "slow: marks tests as slow (deselect with '-m \"not slow\"')", + "extra: marks tests as requiring private data (deselect with '-m \"not extra\"')", +] testpaths = [ "src/traffic/core/intervals.py", "src/traffic/core/time.py", @@ -134,4 +141,3 @@ testpaths = [ "src/traffic/data/datasets/", "tests", ] -doctest_optionflags = ["NORMALIZE_WHITESPACE", "ELLIPSIS", "NUMBER"] diff --git a/src/traffic/__init__.py b/src/traffic/__init__.py index bc59fd19..0ce204a4 100644 --- a/src/traffic/__init__.py +++ b/src/traffic/__init__.py @@ -1,10 +1,11 @@ import configparser import logging import os -from importlib.metadata import EntryPoint, entry_points, version +from importlib.metadata import version from pathlib import Path -from typing import Iterable +from typing import TypedDict +import dotenv from appdirs import user_cache_dir, user_config_dir import pandas as pd @@ -12,14 +13,19 @@ from . import visualize # noqa: F401 __version__ = version("traffic") -__all__ = ["cache_dir", "config_dir", "config_file", "tqdm_style"] +__all__ = ["cache_path", "config_dir", "config_file", "tqdm_style"] # Set up the library root logger _log = logging.getLogger(__name__) +dotenv.load_dotenv() + # -- Configuration management -- -config_dir = Path(user_config_dir("traffic")) +if (xdg_config := os.environ.get("XDG_CONFIG_HOME")) is not None: + config_dir = Path(xdg_config) / "traffic" +else: + config_dir = Path(user_config_dir("traffic")) config_file = config_dir / "traffic.conf" if not config_dir.exists(): # coverage: ignore @@ -30,68 +36,94 @@ config = configparser.ConfigParser() config.read(config_file.as_posix()) -# Check the config file for a cache directory. If not present -# then use the system default cache path - -cache_dir = Path(user_cache_dir("traffic")) - -cache_dir_cfg = config.get("cache", "path", fallback="").strip() -if cache_dir_cfg != "": # coverage: ignore - cache_dir = Path(cache_dir_cfg) -cache_expiration_cfg = config.get("cache", "expiration", fallback="180 days") -cache_expiration = pd.Timedelta(cache_expiration_cfg) +class Resolution(TypedDict, total=False): + category: str + name: str + environment_variable: str + default: str + + +NAME_RESOLUTION: dict[str, Resolution] = { + # Cache configuration + "cache_dir": dict( + environment_variable="TRAFFIC_CACHE_PATH", + category="cache", + name="path", + ), + "cache_expiration": dict( + environment_variable="TRAFFIC_CACHE_EXPIRATION", + category="cache", + name="expiration", + ), + "aixm_path_str": dict( + environment_variable="TRAFFIC_AIXM_PATH", + category="global", + name="aixm_path", + ), + "nm_path_str": dict( + environment_variable="TRAFFIC_NM_PATH", + category="global", + name="nm_path", + ), + # Should we get a tqdm progress bar + "tqdm_style": dict( + environment_variable="TRAFFIC_TQDM_STYLE", + category="global", + name="tqdm_style", + default="auto", + ), + "aircraft_db": dict( + environment_variable="TRAFFIC_AIRCRAFTDB", + category="aircraft", + name="database", + ), +} -cache_purge_cfg = config.get("cache", "purge", fallback="") -cache_no_expire = bool(os.environ.get("TRAFFIC_CACHE_NO_EXPIRE")) -if cache_purge_cfg != "" and not cache_no_expire: # coverage: ignore - cache_purge = pd.Timedelta(cache_purge_cfg) - now = pd.Timestamp("now").timestamp() - - purgeable = list( - path - for path in cache_dir.glob("opensky/*") - if now - path.lstat().st_mtime > cache_purge.total_seconds() - ) - - if len(purgeable) > 0: - _log.warn( - f"Removing {len(purgeable)} cache files older than {cache_purge}" - ) - for path in purgeable: - path.unlink() +# Check the config file for a cache directory. If not present +# then use the system default cache path -if not cache_dir.exists(): - cache_dir.mkdir(parents=True) -# -- Tqdm Style Configuration -- -tqdm_style = config.get("global", "tqdm_style", fallback="auto") +def get_config( + category: None | str = None, + name: None | str = None, + environment_variable: None | str = None, + default: None | str = None, +) -> None | str: + if category is not None and name is not None: + if value := config.get(category, name, fallback=None): + return value + + if environment_variable is not None: + return os.environ.get(environment_variable) + + if default is not None: + return default + + return None + + +cache_dir = get_config(**NAME_RESOLUTION["cache_dir"]) +if cache_dir is None: + cache_dir = user_cache_dir("traffic") +cache_path = Path(cache_dir) +if not cache_path.exists(): + cache_path.mkdir(parents=True) + +_cache_expiration_str = get_config(**NAME_RESOLUTION["cache_expiration"]) +cache_expiration = ( + pd.Timedelta(_cache_expiration_str) + if _cache_expiration_str is not None + else None +) +_log.info(f"Selected cache_expiration: {cache_expiration}") + +aircraft_db_path = get_config(**NAME_RESOLUTION["aircraft_db"]) +_log.info(f"Selected aircraft_db path: {aircraft_db_path}") +aixm_path_str = get_config(**NAME_RESOLUTION["aixm_path_str"]) +_log.info(f"Selected aixm path: {aixm_path_str}") +nm_path_str = get_config(**NAME_RESOLUTION["nm_path_str"]) +_log.info(f"Selected nm path: {nm_path_str}") +tqdm_style = get_config(**NAME_RESOLUTION["tqdm_style"]) _log.info(f"Selected tqdm style: {tqdm_style}") - -# -- Plugin management -- - -_enabled_plugins_raw = config.get("plugins", "enabled_plugins", fallback="") -_enabled_list = ",".join(_enabled_plugins_raw.split("\n")).split(",") - -_selected = set(s.replace("-", "").strip().lower() for s in _enabled_list) -_selected -= {""} - -_log.info(f"Selected plugins: {_selected}") - -if "TRAFFIC_NOPLUGIN" not in os.environ.keys(): # coverage: ignore - ep: Iterable[EntryPoint] - try: - # https://docs.python.org/3/library/importlib.metadata.html#entry-points - ep = entry_points(group="traffic.plugins") - except TypeError: - ep = entry_points().get("traffic.plugins", []) - for entry_point in ep: - name = entry_point.name.replace("-", "").lower() - if name in _selected: - _log.info(f"Loading plugin: {name}") - handle = entry_point.load() - _log.info(f"Loaded plugin: {handle.__name__}") - load = getattr(handle, "_onload", None) - if load is not None: - load() diff --git a/src/traffic/algorithms/cpa.py b/src/traffic/algorithms/cpa.py index 80db8326..e800fc6d 100644 --- a/src/traffic/algorithms/cpa.py +++ b/src/traffic/algorithms/cpa.py @@ -14,20 +14,21 @@ import pandas as pd import pyproj -from ..core import Flight, tqdm from ..core.mixins import DataFrameMixin if TYPE_CHECKING: from cartopy import crs - from ..core import Traffic + from ..core import Flight, Traffic _log = logging.getLogger(__name__) def combinations( - t: "Traffic", lateral_separation: float, vertical_separation: float -) -> Iterator[Tuple[Flight, Flight]]: + t: "Traffic", + lateral_separation: float, + vertical_separation: float, +) -> Iterator[Tuple["Flight", "Flight"]]: for flight in t: t_ = t.query(f'icao24 != "{flight.icao24}"') if t_ is None: @@ -52,7 +53,9 @@ def combinations( class CPA(DataFrameMixin): def aggregate( - self, lateral_separation: float = 5, vertical_separation: float = 1000 + self, + lateral_separation: float = 5, + vertical_separation: float = 1000, ) -> "CPA": return ( self.assign( @@ -172,7 +175,7 @@ def closest_point_of_approach( if isinstance(projection, crs.Projection): projection = pyproj.Proj(projection.proj4_init) - def yield_pairs(t_chunk: "Traffic") -> Iterator[Tuple[Flight, Flight]]: + def yield_pairs(t_chunk: "Traffic") -> Iterator[Tuple["Flight", "Flight"]]: """ This function yields all pairs of possible candidates for a CPA calculation. @@ -214,6 +217,8 @@ def yield_pairs(t_chunk: "Traffic") -> Iterator[Tuple[Flight, Flight]]: # TODO: it would probably be more efficient to multiprocess over each # t_chunk rather than multiprocess the distance computation. + from ..core import Flight, tqdm + for _, t_chunk in tqdm( t_xyt.groupby("round_t"), total=len(set(t_xyt.data.round_t)) ): diff --git a/src/traffic/algorithms/navigation.py b/src/traffic/algorithms/navigation.py index c13ecd2a..60b904c9 100644 --- a/src/traffic/algorithms/navigation.py +++ b/src/traffic/algorithms/navigation.py @@ -19,6 +19,7 @@ ) import pitot.geodesy as geo +from cartes.osm import Overpass from typing_extensions import NotRequired, TypedDict import numpy as np @@ -1262,33 +1263,6 @@ def pushback( direction_change.start ).assign(parking_position=parking_position.parking_position_max) - def is_from_inertial(self, freq_threshold: float = 0.05) -> bool: - """ - Returns True if ground trajectory data looks noisy. - - .. warning:: - - This method is still experimental and tries to catch trajectories - based on the inertial system rather than the GPS. It catches zig-zag - patterns but fails to get trajectories driving between taxiways. - - """ - self = cast("Flight", self) - - if "compute_track" not in self.data.columns: - self = self.cumulative_distance(compute_gs=False) - - freq = ( - self.diff("compute_track") - .compute_track_diff.round() - .value_counts(normalize=True) - ) - if 90 not in freq.index or -90 not in freq.index: - return False - return ( # type: ignore - freq[90] > freq_threshold and freq[-90] > freq_threshold - ) - @flight_iterator def slow_taxi( self, diff --git a/src/traffic/console/cache.py b/src/traffic/console/cache.py index 23ffcd49..892b654a 100644 --- a/src/traffic/console/cache.py +++ b/src/traffic/console/cache.py @@ -8,7 +8,7 @@ def main(args_list: List[str]) -> None: - from .. import cache_dir + from .. import cache_path parser = argparse.ArgumentParser( prog="traffic cache", description="traffic cache directory" @@ -40,11 +40,11 @@ def main(args_list: List[str]) -> None: args = parser.parse_args(args_list) if args.list: - print(cache_dir) + print(cache_path) if args.open: - logger.info("Open cache directory {}".format(cache_dir)) - dispatch_open(cache_dir) + logger.info("Open cache directory {}".format(cache_path)) + dispatch_open(cache_path) if args.fill: from traffic.data import aircraft, airports, navaids diff --git a/src/traffic/core/__init__.py b/src/traffic/core/__init__.py index 5cb45e22..9fd73314 100644 --- a/src/traffic/core/__init__.py +++ b/src/traffic/core/__init__.py @@ -36,7 +36,11 @@ def silent_tqdm( } -tqdm = tqdm_dict[tqdm_style] +tqdm = ( + tqdm_dict.get(tqdm_style, _tqdm_auto) + if tqdm_style is not None + else _tqdm_auto +) # WARNING!! Don't change order of import in this file from .flight import Flight diff --git a/src/traffic/core/cache.py b/src/traffic/core/cache.py index 51be0340..ccab5686 100644 --- a/src/traffic/core/cache.py +++ b/src/traffic/core/cache.py @@ -74,7 +74,7 @@ def __setitem__(self, hashcode: str, data: Any) -> None: def cache_results( fun: None | Callable[..., T] = None, - cache_directory: Path = Path("."), + cache_path: Path = Path("."), loader: Callable[[Path], T] = pd.read_pickle, pd_varnames: bool = False, ) -> Callable[[Callable[..., T]], T | Callable[..., T]]: @@ -87,7 +87,7 @@ def cache_results( :param fun: the function to decorate - :param cache_directory: (default: current directory) + :param cache_path: (default: current directory) where to store the results :param loader: (default: :meth:`pd.read_pickle`) @@ -144,7 +144,7 @@ def newfun(*args: Any, **kwargs: Any) -> T: else: args_.append(f"{value}") - filepath = cache_directory / ( + filepath = cache_path / ( fun.__name__ + "_" + "_".join(args_) + ".pkl" ) diff --git a/src/traffic/data/__init__.py b/src/traffic/data/__init__.py index 34bc32d8..f0cf8087 100644 --- a/src/traffic/data/__init__.py +++ b/src/traffic/data/__init__.py @@ -4,7 +4,14 @@ from httpx import Client -from .. import cache_dir, config, config_file +from .. import ( + aircraft_db_path, + aixm_path_str, + cache_path, + config, + config_file, + nm_path_str, +) if TYPE_CHECKING: from .adsb.opensky import OpenSky @@ -63,22 +70,6 @@ client: Client -aixm_path_str = config.get("global", "aixm_path", fallback="") -nm_path_str = config.get("global", "nm_path", fallback="") - -# We keep "" for forcing to no proxy - -http_proxy = config.get("network", "http.proxy", fallback="<>") -https_proxy = config.get("network", "https.proxy", fallback="<>") -paramiko_proxy = config.get("network", "ssh.proxycommand", fallback="") - -proxy_values = dict( - (key, value) - for key, value in [("http", http_proxy), ("https", https_proxy)] - if value != "<>" -) - - _cached_imports: Dict[str, Any] = dict() _log = logging.getLogger(__name__) @@ -92,11 +83,10 @@ def __getattr__(name: str) -> Any: if name == "aircraft": from .basic.aircraft import Aircraft - Aircraft.cache_dir = cache_dir + Aircraft.cache_path = cache_path - filename = config.get("aircraft", "database", fallback="") - if filename != "": - res = Aircraft.from_file(filename) + if aircraft_db_path is not None and aircraft_db_path != "": + res = Aircraft.from_file(aircraft_db_path) rename_cols = dict( (value, key) # yes, reversed... for key, value in config["aircraft"].items() @@ -112,7 +102,7 @@ def __getattr__(name: str) -> Any: if name == "airports_fr24": from .basic.airports import Airports - Airports.cache_dir = cache_dir + Airports.cache_path = cache_path res = Airports() res._src = "fr24" _cached_imports[name] = res @@ -121,7 +111,7 @@ def __getattr__(name: str) -> Any: if name == "airports": from .basic.airports import Airports - Airports.cache_dir = cache_dir + Airports.cache_path = cache_path res = Airports() _cached_imports[name] = res return res @@ -129,7 +119,7 @@ def __getattr__(name: str) -> Any: if name == "airways": from .basic.airways import Airways - Airways.cache_dir = cache_dir + Airways.cache_path = cache_path res = Airways() _cached_imports[name] = res return res @@ -142,7 +132,7 @@ def __getattr__(name: str) -> Any: if name == "navaids": from .basic.navaid import Navaids - Navaids.cache_dir = cache_dir + Navaids.cache_path = cache_path res = Navaids() _cached_imports[name] = res return res @@ -150,23 +140,27 @@ def __getattr__(name: str) -> Any: if name == "aixm_navaids": # coverage: ignore from .eurocontrol.aixm.navpoints import AIXMNavaidParser - AIXMNavaidParser.cache_dir = cache_dir - res = AIXMNavaidParser.from_file(Path(aixm_path_str)) + AIXMNavaidParser.cache_path = cache_path + res = AIXMNavaidParser.from_file( + Path(aixm_path_str if aixm_path_str else "") + ) _cached_imports[name] = res return res if name == "aixm_airways": # coverage: ignore from .eurocontrol.aixm.routes import AIXMRoutesParser - AIXMRoutesParser.cache_dir = cache_dir - res = AIXMRoutesParser.from_file(Path(aixm_path_str)) + AIXMRoutesParser.cache_path = cache_path + res = AIXMRoutesParser.from_file( + Path(aixm_path_str if aixm_path_str else "") + ) _cached_imports[name] = res return res if name == "aixm_airports": # coverage: ignore from .eurocontrol.aixm.airports import AIXMAirportParser - AIXMAirportParser.cache_dir = cache_dir + AIXMAirportParser.cache_path = cache_path res = AIXMAirportParser( data=None, aixm_path=Path(aixm_path_str) @@ -179,7 +173,7 @@ def __getattr__(name: str) -> Any: if name == "aixm_airspaces": # coverage: ignore from .eurocontrol.aixm.airspaces import AIXMAirspaceParser - AIXMAirspaceParser.cache_dir = cache_dir + AIXMAirspaceParser.cache_path = cache_path res = AIXMAirspaceParser( data=None, aixm_path=Path(aixm_path_str) @@ -192,7 +186,7 @@ def __getattr__(name: str) -> Any: if name == "nm_airspaces": # coverage: ignore from .eurocontrol.ddr.airspaces import NMAirspaceParser - if nm_path_str != "": # coverage: ignore + if nm_path_str is not None: # coverage: ignore NMAirspaceParser.nm_path = Path(nm_path_str) res = NMAirspaceParser(data=None, config_file=config_file) _cached_imports[name] = res @@ -201,7 +195,7 @@ def __getattr__(name: str) -> Any: if name == "nm_freeroute": # coverage: ignore from .eurocontrol.ddr.freeroute import NMFreeRouteParser - if nm_path_str != "": # coverage: ignore + if nm_path_str is not None: # coverage: ignore NMFreeRouteParser.nm_path = Path(nm_path_str) res = NMFreeRouteParser(data=None, config_file=config_file) _cached_imports[name] = res @@ -210,14 +204,14 @@ def __getattr__(name: str) -> Any: if name == "nm_navaids": # coverage: ignore from .eurocontrol.ddr.navpoints import NMNavaids - res = NMNavaids.from_file(nm_path_str) + res = NMNavaids.from_file(nm_path_str if nm_path_str else "") _cached_imports[name] = res return res if name == "nm_airways": from .eurocontrol.ddr.routes import NMRoutes - if nm_path_str != "": # coverage: ignore + if nm_path_str is not None: # coverage: ignore NMRoutes.nm_path = Path(nm_path_str) res = NMRoutes() _cached_imports[name] = res @@ -233,7 +227,7 @@ def __getattr__(name: str) -> Any: if name == "runways": from .basic.runways import Runways - Runways.cache_dir = cache_dir + Runways.cache_path = cache_path res = Runways() _cached_imports[name] = res return res diff --git a/src/traffic/data/basic/aircraft.py b/src/traffic/data/basic/aircraft.py index 384f624a..4c27b211 100644 --- a/src/traffic/data/basic/aircraft.py +++ b/src/traffic/data/basic/aircraft.py @@ -179,7 +179,7 @@ class Aircraft(DataFrameMixin): """ - cache_dir: Path + cache_path: Path columns_options: ClassVar[dict[str, dict[str, Any]]] = dict( # type: ignore icao24=dict(), registration=dict(), typecode=dict(), model=dict() ) @@ -195,7 +195,7 @@ def __init__(self, data: None | pd.DataFrame = None) -> None: self.columns_options[column] = dict(max_width=30) def download_junzis(self) -> None: # coverage: ignore - filename = self.cache_dir / "junzis_db.pkl" + filename = self.cache_path / "junzis_db.pkl" if filename.exists(): self.data = pd.read_pickle(filename).fillna("") @@ -218,7 +218,7 @@ def download_junzis(self) -> None: # coverage: ignore } ) ) - self.data.to_pickle(self.cache_dir / "junzis_db.pkl") + self.data.to_pickle(self.cache_path / "junzis_db.pkl") def download_opensky(self) -> None: # coverage: ignore """Downloads the latest version of the OpenSky aircraft database. @@ -247,14 +247,14 @@ def download_opensky(self) -> None: # coverage: ignore engine="c", keep_default_na=False, ) - self.data.to_parquet(self.cache_dir / "opensky_db.parquet") + self.data.to_parquet(self.cache_path / "opensky_db.parquet") @property def opensky_db(self) -> pd.DataFrame: - if not (self.cache_dir / "opensky_db.parquet").exists(): + if not (self.cache_path / "opensky_db.parquet").exists(): self.download_opensky() _log.info("Loading OpenSky aircraft database") - return pd.read_parquet(self.cache_dir / "opensky_db.parquet") + return pd.read_parquet(self.cache_path / "opensky_db.parquet") def __getitem__(self: T, name: str | list[str]) -> None | T: """Requests an aircraft by icao24 or registration (exact match).""" diff --git a/src/traffic/data/basic/airports.py b/src/traffic/data/basic/airports.py index ddd68f0c..cb6ac83e 100644 --- a/src/traffic/data/basic/airports.py +++ b/src/traffic/data/basic/airports.py @@ -42,7 +42,7 @@ class Airports(GeoDBMixin): """ - cache_dir: Path + cache_path: Path expiration_days: None | int src_dict: ClassVar[dict[str, tuple[str, str]]] = dict( @@ -113,7 +113,7 @@ def download_airports(self) -> None: # coverage: ignore ] ] - self._data.to_parquet(self.cache_dir / "airports_ourairports.parquet") + self._data.to_parquet(self.cache_path / "airports_ourairports.parquet") def download_fr24(self) -> None: # coverage: ignore c = client.get( @@ -132,7 +132,7 @@ def download_fr24(self) -> None: # coverage: ignore } ) ) - self._data.to_parquet(self.cache_dir / "airports_fr24.parquet") + self._data.to_parquet(self.cache_path / "airports_fr24.parquet") @property def data(self) -> pd.DataFrame: @@ -141,18 +141,18 @@ def data(self) -> pd.DataFrame: cache_file, method_name = self.src_dict[self._src] - if not (self.cache_dir / cache_file).exists(): + if not (self.cache_path / cache_file).exists(): getattr(self, method_name)() - last_modification = (self.cache_dir / cache_file).lstat().st_mtime + last_modification = (self.cache_path / cache_file).lstat().st_mtime delta = pd.Timestamp("now") - pd.Timestamp(last_modification * 1e9) - if delta > cache_expiration: + if cache_expiration is not None and delta > cache_expiration: try: getattr(self, method_name)() except httpx.TransportError: pass - self._data = pd.read_parquet(self.cache_dir / cache_file) + self._data = pd.read_parquet(self.cache_path / cache_file) return self._data diff --git a/src/traffic/data/basic/airways.py b/src/traffic/data/basic/airways.py index b09ec578..d147c78f 100644 --- a/src/traffic/data/basic/airways.py +++ b/src/traffic/data/basic/airways.py @@ -71,7 +71,7 @@ class Airways(GeoDBMixin): """ - cache_dir: Path + cache_path: Path alternatives: dict[str, "Airways"] = dict() # noqa: RUF012 name: str = "default" @@ -85,7 +85,7 @@ def parse_data(self) -> None: # coverage: ignore assert cache_file.exists() self._data = pd.read_csv(cache_file, sep=" ", header=None) self._data.columns = ["route", "id", "navaid", "latitude", "longitude"] - self._data.to_parquet(self.cache_dir / "traffic_airways.parquet") + self._data.to_parquet(self.cache_path / "traffic_airways.parquet") @property def available(self) -> bool: @@ -96,12 +96,12 @@ def data(self) -> pd.DataFrame: if self._data is not None: return self._data - if not (self.cache_dir / "traffic_airways.parquet").exists(): + if not (self.cache_path / "traffic_airways.parquet").exists(): self.parse_data() else: _log.info("Loading airways database") self._data = pd.read_parquet( - self.cache_dir / "traffic_airways.parquet" + self.cache_path / "traffic_airways.parquet" ) if self._data is not None: diff --git a/src/traffic/data/basic/navaid.py b/src/traffic/data/basic/navaid.py index 1e38c624..4c7a9482 100644 --- a/src/traffic/data/basic/navaid.py +++ b/src/traffic/data/basic/navaid.py @@ -46,7 +46,7 @@ class Navaids(GeoDBMixin): """ - cache_dir: Path + cache_path: Path alternatives: ClassVar[dict[str, "Navaids"]] = dict() name: str = "default" priority: int = 0 @@ -176,19 +176,19 @@ def parse_data(self) -> None: # coverage: ignore navaids, columns=NavaidTuple._fields ) - self._data.to_parquet(self.cache_dir / "traffic_navaid.parquet") + self._data.to_parquet(self.cache_path / "traffic_navaid.parquet") @property def data(self) -> pd.DataFrame: if self._data is not None: return self._data - if not (self.cache_dir / "traffic_navaid.parquet").exists(): + if not (self.cache_path / "traffic_navaid.parquet").exists(): self.parse_data() else: _log.info("Loading navaid database") self._data = pd.read_parquet( - self.cache_dir / "traffic_navaid.parquet" + self.cache_path / "traffic_navaid.parquet" ) if self._data is not None: diff --git a/src/traffic/data/basic/runways.py b/src/traffic/data/basic/runways.py index 3afbd579..41ceea76 100644 --- a/src/traffic/data/basic/runways.py +++ b/src/traffic/data/basic/runways.py @@ -174,12 +174,12 @@ def geoencode(self, **kwargs: Any) -> "alt.Chart": # coverage: ignore class Runways(object): - cache_dir: Optional[Path] = None + cache_path: Optional[Path] = None def __init__(self) -> None: self._runways: Optional[RunwaysType] = None - assert self.cache_dir is not None - self._cache = self.cache_dir / "runways_ourairports.pkl" + assert self.cache_path is not None + self._cache = self.cache_path / "runways_ourairports.pkl" @property def runways(self) -> RunwaysType: @@ -191,7 +191,7 @@ def runways(self) -> RunwaysType: last_modification = self._cache.lstat().st_mtime delta = pd.Timestamp("now") - pd.Timestamp(last_modification * 1e9) - if delta > cache_expiration: + if cache_expiration is not None and delta > cache_expiration: try: self.download_runways() except httpx.TransportError: diff --git a/src/traffic/data/datasets/default.py b/src/traffic/data/datasets/default.py index 63587083..83e13a97 100644 --- a/src/traffic/data/datasets/default.py +++ b/src/traffic/data/datasets/default.py @@ -4,7 +4,7 @@ import httpx -from ... import cache_dir, tqdm_style +from ... import cache_path, tqdm_style from ...core import tqdm client = httpx.Client(follow_redirects=True) @@ -18,7 +18,7 @@ class Entry(TypedDict): class Default: def __init__(self) -> None: - cache = cache_dir / "datasets" / "default" + cache = cache_path / "datasets" / "default" if not cache.exists(): cache.mkdir(parents=True) @@ -40,7 +40,7 @@ def get_data(self, entry: Entry) -> Path: file_handle.write(chunk) md5_hash.update(chunk) else: - with tqdm( # type: ignore + with tqdm( total=int(content_length), unit_scale=True, unit_divisor=1024, diff --git a/src/traffic/data/datasets/mendeley.py b/src/traffic/data/datasets/mendeley.py index d3bd6218..f15224ff 100644 --- a/src/traffic/data/datasets/mendeley.py +++ b/src/traffic/data/datasets/mendeley.py @@ -8,7 +8,7 @@ import httpx from tqdm.rich import tqdm -from ... import cache_dir +from ... import cache_path client = httpx.Client(follow_redirects=True) @@ -37,7 +37,7 @@ class Mendeley: BASE_URL = "https://data.mendeley.com/public-api/datasets/{ident}/files" def __init__(self, ident: str) -> None: - cache = cache_dir / "datasets" / "mendeley" + cache = cache_path / "datasets" / "mendeley" if not cache.exists(): cache.mkdir(parents=True) if not (spec_file := (cache / ident).with_suffix(".json")).exists(): diff --git a/src/traffic/data/datasets/zenodo.py b/src/traffic/data/datasets/zenodo.py index e49e3d05..b4175b5a 100644 --- a/src/traffic/data/datasets/zenodo.py +++ b/src/traffic/data/datasets/zenodo.py @@ -9,7 +9,7 @@ import httpx from tqdm.rich import tqdm -from ... import cache_dir +from ... import cache_path client = httpx.Client(follow_redirects=True) @@ -51,7 +51,7 @@ class Zenodo: BASE_URL = "https://zenodo.org/api/records/{ident}/versions" def __init__(self, ident: str) -> None: - cache = cache_dir / "datasets" / "zenodo" + cache = cache_path / "datasets" / "zenodo" if not cache.exists(): cache.mkdir(parents=True) if not (spec_file := (cache / ident).with_suffix(".json")).exists(): diff --git a/src/traffic/data/eurocontrol/aixm/airports.py b/src/traffic/data/eurocontrol/aixm/airports.py index 66fafb89..3000701d 100644 --- a/src/traffic/data/eurocontrol/aixm/airports.py +++ b/src/traffic/data/eurocontrol/aixm/airports.py @@ -13,7 +13,7 @@ class AIXMAirportParser(DataFrameMixin): - cache_dir: Path + cache_path: Path def __init__( self, @@ -29,7 +29,7 @@ def __init__( raise RuntimeError(msg) # Read file in cache if present - airports_file = self.cache_dir / f"{aixm_path.stem}_airports.pkl" + airports_file = self.cache_path / f"{aixm_path.stem}_airports.pkl" if airports_file.exists(): self.data = gpd.GeoDataFrame(pd.read_pickle(airports_file)) return diff --git a/src/traffic/data/eurocontrol/aixm/airspaces.py b/src/traffic/data/eurocontrol/aixm/airspaces.py index ae60c87d..2e6e618e 100644 --- a/src/traffic/data/eurocontrol/aixm/airspaces.py +++ b/src/traffic/data/eurocontrol/aixm/airspaces.py @@ -43,7 +43,7 @@ def get_coordinates(lr: Any, ns: dict[str, str]) -> Polygon: class AIXMAirspaceParser(Airspaces): - cache_dir: Path + cache_path: Path def __init__( self, data: None | GeoDataFrame, aixm_path: None | Path = None @@ -56,7 +56,7 @@ def __init__( raise RuntimeError(msg) # Read file in cache if present - airspace_file = self.cache_dir / f"{aixm_path.stem}_airspaces.pkl" + airspace_file = self.cache_path / f"{aixm_path.stem}_airspaces.pkl" if airspace_file.exists(): self.data = gpd.GeoDataFrame(pd.read_pickle(airspace_file)) return diff --git a/src/traffic/data/eurocontrol/aixm/navpoints.py b/src/traffic/data/eurocontrol/aixm/navpoints.py index cc5aa5ac..6ae0d7cc 100644 --- a/src/traffic/data/eurocontrol/aixm/navpoints.py +++ b/src/traffic/data/eurocontrol/aixm/navpoints.py @@ -36,8 +36,8 @@ def extensions(self) -> pd.DataFrame: if self._extensions is not None: return self._extensions - cache_file = self.cache_dir / (self.filename.stem + "_navpoints.pkl") - extension_file = self.cache_dir / ( + cache_file = self.cache_path / (self.filename.stem + "_navpoints.pkl") + extension_file = self.cache_path / ( self.filename.stem + "_navpoints_extensions.pkl" ) @@ -59,8 +59,8 @@ def data(self) -> pd.DataFrame: if self._data is not None: return self._data - cache_file = self.cache_dir / (self.filename.stem + "_navpoints.pkl") - extension_file = self.cache_dir / ( + cache_file = self.cache_path / (self.filename.stem + "_navpoints.pkl") + extension_file = self.cache_path / ( self.filename.stem + "_navpoints_extensions.pkl" ) diff --git a/src/traffic/data/eurocontrol/aixm/routes.py b/src/traffic/data/eurocontrol/aixm/routes.py index 30bca0eb..7126531c 100644 --- a/src/traffic/data/eurocontrol/aixm/routes.py +++ b/src/traffic/data/eurocontrol/aixm/routes.py @@ -22,7 +22,7 @@ class AIXMRoutesParser(Airways): name: str = "aixm_airways" filename: Path priority: int = 2 - cache_dir: Path + cache_path: Path @classmethod def from_file(cls, filename: str | Path, **kwargs: Any) -> Self: @@ -75,7 +75,7 @@ def data(self) -> pd.DataFrame: if self._data is not None: return self._data - cache_file = self.cache_dir / (self.filename.stem + "_airways.parquet") + cache_file = self.cache_path / (self.filename.stem + "_airways.parquet") if not cache_file.exists(): self._data = self.parse_data() if self._data is not None: diff --git a/src/traffic/data/faa/__init__.py b/src/traffic/data/faa/__init__.py index bb81f934..ca9fe53a 100644 --- a/src/traffic/data/faa/__init__.py +++ b/src/traffic/data/faa/__init__.py @@ -8,7 +8,7 @@ import pandas as pd -from ... import cache_dir, cache_expiration +from ... import cache_expiration, cache_path from .. import client __all__ = list(p.stem[1:] for p in Path(__file__).parent.glob("_[a-z]*py")) @@ -23,7 +23,7 @@ class ADDS_FAA_OpenData: json_url = "https://opendata.arcgis.com/datasets/{}.geojson" def __init__(self) -> None: - self.cache_file = cache_dir / self.filename + self.cache_file = cache_path / self.filename self.website = self.website.format(self.id_) self.json_url = self.json_url.format(self.id_) @@ -42,7 +42,7 @@ def json_contents(self) -> Dict[str, Any]: last_modification = (self.cache_file).lstat().st_mtime delta = pd.Timestamp("now") - pd.Timestamp(last_modification * 1e9) - if delta > cache_expiration: + if cache_expiration is not None and delta > cache_expiration: try: self.download_data() except httpx.TransportError: diff --git a/src/traffic/plugins/__init__.py b/src/traffic/plugins/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/src/traffic/plugins/bluesky.py b/src/traffic/plugins/bluesky.py deleted file mode 100644 index 2bdcab6d..00000000 --- a/src/traffic/plugins/bluesky.py +++ /dev/null @@ -1,121 +0,0 @@ -import logging -from pathlib import Path -from typing import List, Optional, Union, cast - -from pitot.aero import tas2cas - -import pandas as pd -from traffic.core import Traffic -from traffic.core.time import timelike -from traffic.data import aircraft - -_log = logging.getLogger(__name__) - - -def fmt_timedelta(x: pd.Timestamp) -> str: - return ( - f"{24 * x.components.days + x.components.hours}:" - f"{x.components.minutes}:{x.components.seconds}" - ) - - -def to_bluesky( - traffic: Traffic, - filename: Union[str, Path], - minimum_time: Optional[timelike] = None, -) -> None: - """Generates a Bluesky scenario file.""" - - if minimum_time is not None: - traffic = traffic.after(minimum_time) # type: ignore - - if isinstance(filename, str): - filename = Path(filename) - - if not filename.parent.exists(): - filename.parent.mkdir(parents=True) - - altitude = ( - "baro_altitude" - if "baro_altitude" in traffic.data.columns - else "altitude" - ) - - if "typecode" not in traffic.data.columns: - traffic = Traffic( - traffic.data.merge( - aircraft.data[["icao24", "typecode"]].drop_duplicates("icao24"), - on="icao24", - how="inner", - ) - ) - - if "cas" not in traffic.data.columns: - traffic = Traffic( - traffic.data.assign( - cas=tas2cas(traffic.data.ground_speed, traffic.data[altitude]) - ) - ) - - with filename.open("w") as fh: - t_delta = traffic.data.timestamp - traffic.start_time - data = ( - traffic.assign_id() - .data.groupby("flight_id") - .filter(lambda x: x.shape[0] > 3) - .assign(timedelta=t_delta.apply(fmt_timedelta)) - .sort_values(by="timestamp") - ) - - for column in data.columns: - data[column] = data[column].astype(str) - - is_created: List[str] = [] - is_deleted: List[str] = [] - - start_time = cast(pd.Timestamp, traffic.start_time).time() - fh.write(f"00:00:00> TIME {start_time}\n") - - # Add some bluesky command for the visualisation - # fh.write("00:00:00>trail on\n") - # fh.write("00:00:00>ssd conflicts\n") - - # We remove an object when it's its last data point - buff = data.groupby("flight_id").timestamp.max() - dd = pd.DataFrame( - columns=["timestamp"], data=buff.values, index=buff.index.values - ) - map_icao24_last_point = {} - for i, v in dd.iterrows(): - map_icao24_last_point[i] = v[0] - - # Main loop to write lines in the scenario file - for _, v in data.iterrows(): - if v.flight_id not in is_created: - # If the object is not created then create it - is_created.append(v.flight_id) - fh.write( - f"{v.timedelta}> CRE {v.callsign} {v.typecode} " - f"{v.latitude} {v.longitude} {v.track} " - f"{v[altitude]} {v.cas}\n" - ) - - elif v.timestamp == map_icao24_last_point[v.flight_id]: - # Remove an aircraft when no data are available - if v.flight_id not in is_deleted: - is_deleted.append(v.flight_id) - fh.write(f"{v.timedelta}> DEL {v.callsign}\n") - - elif v.flight_id not in is_deleted: - # Otherwise update the object position - fh.write( - f"{v.timedelta}> MOVE {v.callsign} " - f"{v.latitude} {v.longitude} {v[altitude]} " - f"{v.track} {v.cas} {v.vertical_rate}\n" - ) - - _log.info(f"Scenario file {filename} written") - - -def _onload() -> None: - setattr(Traffic, "to_bluesky", to_bluesky) diff --git a/src/traffic/plugins/cesiumjs.py b/src/traffic/plugins/cesiumjs.py deleted file mode 100644 index 526a2aa3..00000000 --- a/src/traffic/plugins/cesiumjs.py +++ /dev/null @@ -1,143 +0,0 @@ -import getpass -import itertools -import json -import logging -import random -from pathlib import Path -from typing import Any, Dict, Iterator, Optional, Union - -import pandas as pd - -from ..core import Flight, Traffic -from ..core.time import timelike, to_datetime - -_log = logging.getLogger(__name__) - - -class _CZML_Params: - default_time_multiplier = 100 - path_outline_width = 1 - path_width = 3 - path_lead_time = 0 - path_trail_time = 3600 - path_resolution = 5 - point_outline_width = 2 - point_pixel_size = 5 - point_height_reference = "NONE" - - -def format_ts(ts: pd.Timestamp) -> str: - return ts.isoformat()[:-6] + "Z" # type: ignore - - -def export_flight(flight: Flight) -> Iterator[Dict[str, Any]]: - start = format_ts(flight.start) - stop = format_ts(flight.stop) - availability = f"{start}/{stop}" - - color = [ - random.randint(0, 255), - random.randint(0, 255), - random.randint(0, 255), - 150, - ] - - yield { - "id": flight.callsign, - "availability": availability, - "position": { - "epoch": start, - "cartographicDegrees": list( - itertools.chain( - *[list(d.values()) for d in flight.coords4d(delta_t=True)] - ) - ), - }, - "path": { - "material": { - "polylineOutline": { - "color": {"rgba": color}, - "outlineColor": {"rgba": color}, - "outlineWidth": _CZML_Params.path_outline_width, - } - }, - "width": _CZML_Params.path_width, - "leadTime": _CZML_Params.path_lead_time, - "trailTime": _CZML_Params.path_trail_time, - "resolution": _CZML_Params.path_resolution, - }, - } - yield { - "id": flight.callsign, - "availability": availability, - "position": { - "epoch": start, - "cartographicDegrees": list( - itertools.chain( - *[list(d.values()) for d in flight.coords4d(delta_t=True)] - ) - ), - }, - "point": { - "color": { - "rgba": [255, 255, 255, 200] # white center instead of color - }, - "outlineColor": {"rgba": color}, - "outlineWidth": _CZML_Params.point_outline_width, - "pixelSize": _CZML_Params.point_pixel_size, - "heightReference": _CZML_Params.point_height_reference, - }, - } - - -def to_czml( - traffic: Union[None, Traffic], - filename: Union[str, Path], - minimum_time: Optional[timelike] = None, -) -> None: - """Generates a CesiumJS scenario file.""" - - if isinstance(traffic, Traffic): - if "baro_altitude" in traffic.data.columns: - traffic = traffic.query("baro_altitude == baro_altitude") - elif "altitude" in traffic.data.columns: - traffic = traffic.query("altitude == altitude") - - if traffic is not None and minimum_time is not None: - minimum_time = to_datetime(minimum_time) - traffic = traffic.query(f"timestamp >= '{minimum_time}'") - - if isinstance(filename, str): - filename = Path(filename) - - if not filename.parent.exists(): - filename.parent.mkdir(parents=True) - - assert traffic is not None - start = format_ts(traffic.start_time) - availability = f"{start}/{format_ts(traffic.end_time)}" - export = [ - { - "id": "document", - "name": f"Traffic_{start}", - "version": "1.0", - "author": getpass.getuser(), - "clock": { - "interval": availability, - "currentTime": start, - "multiplier": _CZML_Params.default_time_multiplier, - }, - } - ] - for flight in traffic: - for elt in export_flight(flight): - export.append(elt) - - with filename.open("w") as fh: - json.dump(export, fh, indent=2) - - _log.info(f"Scenario file {filename} written") - - -def _onload() -> None: - setattr(Traffic, "to_czml", to_czml) diff --git a/src/traffic/traffic.conf b/src/traffic/traffic.conf index c3404120..35d819cf 100644 --- a/src/traffic/traffic.conf +++ b/src/traffic/traffic.conf @@ -11,25 +11,25 @@ ## provided by Eurocontrol. Data is updated every AIRAC cycle. ## https://traffic-viz.github.io/airac_usage.html -aixm_path = -nm_path = +# aixm_path = +# nm_path = ## Set the style of progress bars ## Progress bar are based on tqdm, which comes in different flavours. ## - 'silent' disable progressbars ## - 'default' option is 'auto' -tqdm_style = auto +# tqdm_style = auto -[opensky] +[cache] + +## You may override the traffic cache path here -## Input here your credentials for accessing the OpenSky Impala shell -## https://opensky-network.org/impala-guide +# path = -username = -password = +## Some cache data may expire after some time, set the expiration threshold -## You may set a ssh ProxyCommand in the [network] section +# expiration = "" [aircraft] @@ -49,60 +49,3 @@ password = # registration = # typecode = # model = - -[cache] - -## You may set a different cache folder here if you have a preferred space -## for storing possibly large files. -# path = - -## The expiration parameter refers to all data that is automatically downloaded -## from various (mostly) open sources, relative to airports, runways, navaids, -## and so on. Most of these online databases are regularly updated, so it is -## recommended to let the library remember when to expire caches and download -## the data again. -## Files are removed iff new files can be downloaded. -expiration = 90 days - -## The purge parameter refers to the cache folder containing data from the -## Opensky Impala shell. Cache files tend to take space so you may want to let -## the library delete older files. -## Files are removed when the library is imported. -purge = 180 days - - -[plugins] - -## input here a list of plugins you wish to activate each time you import -## traffic. The list may be simultaneously multi-line and comma-separated. -## Hyphens '-' are ignored during the parsing. -## Plugin names are case insensitive - -enabled_plugins = - ## Default plugins (embedded in traffic library) - # - CesiumJS - # - Bluesky - -[network] - -## input here the arguments you need to pass as is to requests -# http.proxy = http://proxy.company:8080 -# https.proxy = http://proxy.company:8080 -# http.proxy = socks5h://localhost:1234 -# https.proxy = socks5h://localhost:1234 - -## input here the ProxyCommand you need to login to the Impala Shell -## WARNING: -## Do not use %h and %p wildcards. -## Write data.opensky-network.org and 2230 explicitly instead -# ssh.proxycommand = ssh -W data.opensky-network.org:2230 proxy_ip:proxy_port - -[nmb2b] - -## This section contains information to log in to Eurocontrol B2B services -## https://traffic-viz.github.io/data_sources/flightplans.html - -pkcs12_filename = # full path to the certificate file -pkcs12_password = -# mode = OPS # default: PREOPS -# version = 25.0.0 # default: 25.0.0 diff --git a/src/traffic/visualize/kml.py b/src/traffic/visualize/kml.py deleted file mode 100644 index e58fed2d..00000000 --- a/src/traffic/visualize/kml.py +++ /dev/null @@ -1,114 +0,0 @@ -from contextlib import contextmanager -from typing import Any, Dict, Iterator, Optional - -from fastkml import LineStyle, PolyStyle, kml -from fastkml.geometry import Geometry - -import numpy as np -from shapely.geometry import LineString - -from ..core import Airspace, Flight - -_colormap = { - "blue": "#1928f0", - "red": "#ff3900", - "green": "#19ff00", - "yellow": "#effe00", - "magenta": "#f300b0", - "cyan": "#02d8ec", - "orange": "#ffc000", -} - -current_document: Optional[kml.Document] = None - - -class StyleMap(Dict[str, kml.StyleUrl]): - def __missing__(self, color: str) -> kml.StyleUrl: - style = kml.Style(id=color) - if current_document is not None: - current_document.append_style(style) - style.append_style(LineStyle(color=color, width=2)) - style.append_style(PolyStyle(color=color)) - styleUrl = kml.StyleUrl(url=color) - return styleUrl - - -def toStyle(color: str, alpha: float = 0.5) -> kml.StyleUrl: - # saturate alpha - alpha = max(0, alpha) - alpha = min(1, alpha) - color = _colormap.get(color, color).upper() - if len(color) != 7: - raise ValueError("Invalid color") - color = color[1:] - # KML colors are f***ed... - key = hex(int(alpha * 255))[2:] + color[4:6] + color[2:4] + color[:2] - return _stylemap[key] - - -@contextmanager -def export(filename: str) -> Iterator[kml.Document]: - global current_document - kml_tree = kml.KML() - current_document = kml.Document() - yield current_document - kml_tree.append(current_document) - with open(filename, "w", encoding="utf8") as kml_file: - kml_file.write(kml_tree.to_string(prettyprint=True)) - _stylemap.clear() - current_document = None - - -def _flight_export_kml( - flight: Flight, - styleUrl: Optional[kml.StyleUrl] = None, - color: Optional[str] = None, - alpha: float = 0.5, - **kwargs: Any, -) -> kml.Placemark: - if color is not None: - # the style will be set only if the kml.export context is open - styleUrl = toStyle(color) - params = { - "name": flight.callsign, - "description": flight._info_html(), - "styleUrl": styleUrl, - } - for key, value in kwargs.items(): - params[key] = value - placemark = kml.Placemark(**params) - placemark.visibility = 1 - # Convert to meters - coords = np.stack(flight.coords) # type: ignore - coords[:, 2] *= 0.3048 - placemark.geometry = Geometry( - geometry=LineString(coords), - extrude=True, - altitude_mode="relativeToGround", - ) - return placemark - - -def _airspace_export_kml( - sector: Airspace, - styleUrl: Optional[kml.StyleUrl] = None, - color: Optional[str] = None, - alpha: float = 0.5, -) -> kml.Placemark: - if color is not None: - # the style will be set only if the kml.export context is open - styleUrl = toStyle(color) - folder = kml.Folder(name=sector.name, description=sector.type) - for extr_p in sector: - for elt in sector.decompose(extr_p): - placemark = kml.Placemark(styleUrl=styleUrl) - placemark.geometry = kml.Geometry( - geometry=elt, altitude_mode="relativeToGround" - ) - folder.append(placemark) - return folder - - -setattr(Flight, "export_kml", _flight_export_kml) -setattr(Airspace, "export_kml", _airspace_export_kml) -_stylemap = StyleMap() diff --git a/tests/cache/06756e84a9281960f371ffa67a61f35e.parquet b/tests/cache/06756e84a9281960f371ffa67a61f35e.parquet new file mode 100644 index 00000000..1a3d37e0 Binary files /dev/null and b/tests/cache/06756e84a9281960f371ffa67a61f35e.parquet differ diff --git a/tests/cache/5a3cd3c3fd1305596a12f01b3d1a1df0.parquet b/tests/cache/5a3cd3c3fd1305596a12f01b3d1a1df0.parquet new file mode 100644 index 00000000..17d12b1c Binary files /dev/null and b/tests/cache/5a3cd3c3fd1305596a12f01b3d1a1df0.parquet differ diff --git a/tests/cache/8efd4e7164d355dc0568214d15811db1.parquet b/tests/cache/8efd4e7164d355dc0568214d15811db1.parquet new file mode 100644 index 00000000..37270389 Binary files /dev/null and b/tests/cache/8efd4e7164d355dc0568214d15811db1.parquet differ diff --git a/tests/cartes/6567648d95563155a5ea9b63e5e5bc42.json b/tests/cartes/6567648d95563155a5ea9b63e5e5bc42.json new file mode 100644 index 00000000..8deb48ae --- /dev/null +++ b/tests/cartes/6567648d95563155a5ea9b63e5e5bc42.json @@ -0,0 +1,114019 @@ +{ + "version": 0.6, + "generator": "Overpass API 0.7.62.4 2390de5a", + "osm3s": { + "timestamp_osm_base": "2025-01-02T21:44:58Z", + "timestamp_areas_base": "2025-01-02T17:00:46Z", + "copyright": "The data included in this document is from www.openstreetmap.org. 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a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 00000000..c7ae3589 --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,12 @@ +import logging +from pathlib import Path +from typing import Any + +import dotenv + + +def pytest_configure(config: Any) -> None: + _log = logging.getLogger() + _log.setLevel(logging.INFO) + + dotenv.load_dotenv(Path(__file__).parent / "tests.env") diff --git a/tests/json/overpass_lszh.json b/tests/json/overpass_lszh.json deleted file mode 100644 index 3f8b08fa..00000000 --- a/tests/json/overpass_lszh.json +++ /dev/null @@ -1,27161 +0,0 @@ -{ - "version": 0.6, - "generator": "Overpass API 0.7.56.9 76e5016d", - "osm3s": { - "timestamp_osm_base": "2021-10-07T09:06:13Z", - "timestamp_areas_base": "2021-10-07T07:59:45Z", - "copyright": "The data included in this document is from www.openstreetmap.org. 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47.4517907, - "lon": 8.5619455 - }, - { - "lat": 47.451787, - "lon": 8.5619545 - }, - { - "lat": 47.4516851, - "lon": 8.5618795 - }, - { - "lat": 47.4515891, - "lon": 8.5618306 - }, - { - "lat": 47.4514944, - "lon": 8.5617904 - }, - { - "lat": 47.4513953, - "lon": 8.5617655 - }, - { - "lat": 47.4511526, - "lon": 8.5617283 - }, - { - "lat": 47.451153, - "lon": 8.5617138 - }, - { - "lat": 47.4499395, - "lon": 8.5615283 - } - ], - "tags": { - "aeroway": "terminal", - "building": "roof", - "building:levels": "0", - "building:part": "roof", - "height": "8.31", - "level": "1;2", - "min_height": "6.26" - } - } - ] -} diff --git a/tests/test_clustering.py b/tests/test_clustering.py index f862e5e1..40b4b1d5 100644 --- a/tests/test_clustering.py +++ b/tests/test_clustering.py @@ -1,5 +1,6 @@ from typing import Any, cast +import pytest from cartes.crs import CH1903p # type: ignore from traffic.core import Traffic @@ -19,6 +20,7 @@ def predict(self, X: Any) -> None: pass +@pytest.mark.slow def test_clustering() -> None: switzerland = cast(Traffic, get_sample(collections, "switzerland")) between = switzerland.between("2018-08-01 12:00", "2018-08-01 14:00") diff --git a/tests/test_cpa.py b/tests/test_cpa.py index 22412c6b..bfcf8cbe 100644 --- a/tests/test_cpa.py +++ b/tests/test_cpa.py @@ -1,11 +1,13 @@ from typing import cast +import pytest from cartes.crs import CH1903p # type: ignore from traffic.core import Traffic from traffic.data.samples import collections, get_sample +@pytest.mark.slow def test_cpa() -> None: switzerland = cast(Traffic, get_sample(collections, "switzerland")) diff --git a/tests/test_datasets.py b/tests/test_datasets.py index 9fbd6e9a..4f802712 100644 --- a/tests/test_datasets.py +++ b/tests/test_datasets.py @@ -1,3 +1,5 @@ +import pytest + import pandas as pd from traffic.data.basic.navaid import Navaids from traffic.data.datasets.scat import SCAT @@ -28,6 +30,7 @@ def test_scat_waypoints() -> None: # assert kerax.iloc[0]["longitude"] == 9.5819444 +@pytest.mark.slow def test_scat_weather() -> None: s = SCAT("scat20161015_20161021.zip", nflights=10, include_weather=True) assert isinstance(s.weather, pd.DataFrame) diff --git a/tests/test_flight.py b/tests/test_flight.py index bb3ad0c6..4b9f93ca 100644 --- a/tests/test_flight.py +++ b/tests/test_flight.py @@ -1,44 +1,24 @@ -import json import sys -import zipfile from operator import itemgetter -from pathlib import Path -from typing import Any, Optional, cast +from typing import Any, cast -import httpx import pytest -from cartes.osm import Overpass import numpy as np import pandas as pd from pandas.testing import assert_frame_equal from traffic.algorithms.douglas_peucker import douglas_peucker -from traffic.core import Flight, Traffic -from traffic.data import airports, eurofirs, navaids, runways +from traffic.core import Flight +from traffic.data import airports, eurofirs, navaids from traffic.data.samples import ( airbus_tree, belevingsvlucht, calibration, - elal747, featured, get_sample, zurich_airport, ) -# This part only serves on travis when the downloaded file is corrupted -# This shouldn't happen much as caching is now activated. -skip_runways = False - -try: - _ = runways.runways -except zipfile.BadZipFile: - skip_runways = True - -data_folder = Path(__file__).parent / "json" -lszh_json = json.loads((data_folder / "overpass_lszh.json").read_text()) -lirf_json = json.loads((data_folder / "overpass_lirf.json").read_text()) -llbg_json = json.loads((data_folder / "overpass_llbg.json").read_text()) - version = sys.version_info @@ -75,12 +55,6 @@ def test_dtype() -> None: ) -@pytest.mark.skipif(True, reason="TODO this is wrong...") -def test_get_traffic() -> None: - traffic = cast(Traffic, get_sample(featured, "traffic")) - assert "belevingsvlucht" in traffic.flight_ids - - def test_iterators() -> None: flight = belevingsvlucht assert min(flight.timestamp) == flight.start @@ -101,6 +75,7 @@ def test_iterators() -> None: assert max_xy_time[2] == last_point.timestamp.to_pydatetime().timestamp() +@pytest.mark.slow def test_subtract() -> None: flight = belevingsvlucht assert sum(1 for _ in flight.holding_pattern()) == 1 @@ -198,6 +173,7 @@ def test_bearing() -> None: ) +@pytest.mark.slow def test_geometry() -> None: flight = cast(Flight, get_sample(featured, "belevingsvlucht")) @@ -228,7 +204,6 @@ def test_geometry() -> None: assert flight.distance(EHAA).data.distance.mean() < 0 - airbus_tree = cast(Flight, get_sample(featured, "airbus_tree")) clip_dk = airbus_tree.clip(eurofirs["EKDK"]) assert clip_dk is not None assert clip_dk.duration < flight.duration @@ -242,6 +217,7 @@ def test_geometry() -> None: assert clip_mm.duration < flight.duration +@pytest.mark.slow def test_clip_iterate() -> None: schiphol = airports["EHAM"] assert schiphol is not None @@ -316,93 +292,6 @@ def test_closest_point() -> None: assert item.point == "Lelystad Airport" -def test_landing_airport() -> None: - assert belevingsvlucht.landing_airport().icao == "EHAM" - assert airbus_tree.landing_airport().icao == "EDHI" - - -def test_landing_runway() -> None: - last = belevingsvlucht.last(minutes=30) - assert last is not None - segment = last.aligned_on_runway("EHAM").max() - assert segment is not None - assert segment.mean("altitude") < 0 - - -def test_aligned_runway() -> None: - assert belevingsvlucht.aligned_on_runway("EHAM").sum() == 2 - - -@pytest.mark.skipif(skip_runways, reason="no runways") -def test_landing_ils() -> None: - aligned: Optional["Flight"] = belevingsvlucht.aligned_on_ils("EHAM").next() - assert aligned is not None - assert aligned.max("ILS") == "06" - - aligned = belevingsvlucht.final("aligned_on_ils('EHLE')") - assert aligned is not None - assert aligned.ILS_max == "23" - - aligned = airbus_tree.aligned_on_ils("EDHI").next() - assert aligned is not None - assert aligned.max("ILS") == "23" - - -def test_compute_navpoints() -> None: - from traffic.data.samples import switzerland - - df = switzerland["BAW585E"].compute_navpoints() - assert df is not None - assert df.navaid.to_list() == ["RESIA", "LUL", "IXILU"] - - df = switzerland["EZY24DP"].compute_navpoints() - assert df is not None - assert df.navaid.to_list() == ["RESIA", "ZH367", "LUL"] - - -@pytest.mark.skipif(skip_runways, reason="no runways") -def test_takeoff_runway() -> None: - # There are as many take-off as landing at EHLE - nb_takeoff = sum( - 1 - for _ in belevingsvlucht.takeoff_from_runway("EHLE", threshold_alt=3000) - ) - nb_landing = sum(1 for f in belevingsvlucht.aligned_on_ils("EHLE")) - # with go-arounds, sometimes it just doesn't fit - assert nb_takeoff <= nb_landing - for aligned in belevingsvlucht.aligned_on_ils("EHLE"): - after = belevingsvlucht.after(aligned.stop) - assert after is not None - takeoff = after.takeoff_from_runway("EHLE", threshold_alt=3000).next() - # If a landing is followed by a take-off, then it's on the same runway - assert takeoff is None or aligned.max("ILS") == takeoff.max("runway") - - -@pytest.mark.skipif(True, reason="only for local debug") -def test_takeoff_goaround() -> None: - from traffic.data.datasets import landing_zurich_2019 - - go_arounds = landing_zurich_2019.has("go_around").eval( - desc="go_around", max_workers=8 - ) - assert go_arounds is not None - - for flight in go_arounds: - for segment in flight.go_around(): - aligned = segment.aligned_on_ils("LSZH").next() - assert aligned is not None - takeoff = ( - cast(Flight, segment.after(aligned.stop)) - .takeoff_from_runway("LSZH", threshold_alt=5000) - .next() - ) - assert ( - takeoff is None - or takeoff.shorter_than("30s") - or aligned.max("ILS") == takeoff.max("runway") - ) - - def test_getattr() -> None: assert belevingsvlucht.vertical_rate_min < -3000 assert 15000 < belevingsvlucht.altitude_max < 20000 @@ -413,27 +302,6 @@ def test_getattr() -> None: belevingsvlucht.altitude_foo -@pytest.mark.skipif(skip_runways, reason="no runways") -def test_goaround() -> None: - assert belevingsvlucht.go_around().next() is None - assert belevingsvlucht.go_around("EHLE").sum() == 5 - - # from traffic.data.datasets import landing_zurich_2019 - # assert sum(1 for _ in landing_zurich_2019["EWG7ME_1079"].go_around()) == 2 - - # def many_goarounds(f): - # return sum(1 for _ in f.go_around()) > 1 - - # gogo = ( - # landing_zurich_2019.query("not simple") - # .iterate_lazy() - # .pipe(many_goarounds) - # .eval(desc="", max_workers=8) - # ) - - # assert gogo.flight_ids == {"SWR287A_10099", "EWG7ME_1079"} - - def test_douglas_peucker() -> None: # https://github.com/xoolive/traffic/pull/5 x = [0, 100, 200] @@ -693,170 +561,6 @@ def shh(x: Any) -> Any: assert list(cols)[-2:] == ["rounded", "altitude_shh"] -@pytest.mark.xfail( - raises=httpx.TransportError, reason="Quotas on OpenStreetMap" -) -def test_parking_position() -> None: - # These tests with calls to OpenStreetMap are a bit tricky and subject to - # uncontrolled edits on OpenStreetMap. - lszh_pp = Overpass(lszh_json).query('aeroway == "parking_position"') - lirf_pp = Overpass(lirf_json).query('aeroway == "parking_position"') - - pp = elal747.on_parking_position("LIRF", parking_positions=lirf_pp).next() - assert pp is not None - assert pp.max("parking_position") == "702" - - # Landing aircraft - flight = zurich_airport["EDW229"] - assert flight is not None - - pp = flight.on_parking_position( - "LSZH", parking_positions=lszh_pp, buffer_size=1e-4 - ).next() - assert pp is not None - assert 5 < pp.duration.total_seconds() < 10 - assert pp.parking_position_max == "A49" - - -def test_from_inertial() -> None: - flight = zurich_airport["ENT57BW"] - assert flight is not None - assert flight.is_from_inertial() - - flight = zurich_airport["CAI3208"] - assert flight is not None - assert not flight.is_from_inertial() - - -def test_slow_taxi() -> None: - flight = zurich_airport["SWR137H"] - assert flight is not None - slow_durations = sum( - ((slow_segment.duration,) for slow_segment in flight.slow_taxi()), - (), - ) - - assert len(slow_durations) == 4 - slow_durations_sum = sum(slow_durations, pd.Timedelta(0)) - assert slow_durations_sum > pd.Timedelta("0 days 00:06:00") - - flight = zurich_airport["ACA879"] - assert flight is not None - assert flight.slow_taxi().next() is None - - -@pytest.mark.xfail( - raises=httpx.TransportError, reason="Quotas on OpenStreetMap" -) -def test_pushback() -> None: - # These tests with calls to OpenStreetMap are a bit tricky and subject to - # uncontrolled edits on OpenStreetMap. - lszh_pp = Overpass(lszh_json).query('aeroway == "parking_position"') - - flight = zurich_airport["AEE5ZH"] - assert flight is not None - parking_position = flight.on_parking_position( - "LSZH", parking_positions=lszh_pp - ).max() - pushback = flight.pushback("LSZH", parking_positions=lszh_pp) - - assert parking_position is not None - assert pushback is not None - assert ( - parking_position.parking_position_max - == pushback.parking_position_max - == "A10" - ) - assert pushback.start <= parking_position.stop - assert pushback.stop >= parking_position.stop - - -@pytest.mark.xfail( - raises=httpx.TransportError, reason="Quotas on OpenStreetMap" -) -def test_on_taxiway() -> None: - # These tests with calls to OpenStreetMap are a bit tricky and subject to - # uncontrolled edits on OpenStreetMap. - lszh_taxiway = Overpass(lszh_json).query('aeroway == "taxiway"') - lirf_taxiway = Overpass(lirf_json).query('aeroway == "taxiway"') - llbg_taxiway = Overpass(llbg_json).query('aeroway == "taxiway"') - - flight = zurich_airport["ACA879"] - assert flight is not None - assert len(flight.on_taxiway(lszh_taxiway)) == 3 - - last_stop = pd.Timestamp(0, tz="utc") - twy_names = ["C", "E", "E2"] - for i, twy_seg in enumerate(flight.on_taxiway(lszh_taxiway)): - assert twy_seg.start >= last_stop - last_stop = twy_seg.stop - assert twy_seg.taxiway_max == twy_names[i] - - flight = zurich_airport["SWISS"] - assert flight is not None - assert flight.on_taxiway(lszh_taxiway).next() is None - - # another airport - last_stop = pd.Timestamp(0, tz="utc") - twy_names = ["V", "Z", "M", "R", "B", "BB"] - flight = elal747 - assert flight is not None - for i, twy_seg in enumerate(flight.on_taxiway(lirf_taxiway)): - assert twy_seg.start >= last_stop - last_stop = twy_seg.stop - assert twy_seg.taxiway_max == twy_names[i] - - # Landing - last_stop = pd.Timestamp(0, tz="utc") - twy_names = ["K", "M1", "D6"] - for i, twy_seg in enumerate(flight.on_taxiway(llbg_taxiway)): - assert twy_seg.start >= last_stop - last_stop = twy_seg.stop - assert twy_seg.taxiway_max == twy_names[i] - - # Flight that leaves and come back to the airport - flight = zurich_airport["SWR5220"] - assert flight is not None - assert len(flight.on_taxiway(lszh_taxiway)) == 8 - - -def test_ground_trajectory() -> None: - flight_iterate = belevingsvlucht.ground_trajectory("EHAM") - takeoff = next(flight_iterate) - assert ( - pd.Timestamp("2018-05-30 15:21:00+00:00") - < takeoff.stop - < pd.Timestamp("2018-05-30 15:22:00+00:00") - ) - landing = next(flight_iterate) - assert ( - pd.Timestamp("2018-05-30 20:17:00+00:00") - < landing.start - < pd.Timestamp("2018-05-30 20:18:00+00:00") - ) - assert next(flight_iterate, None) is None - - assert belevingsvlucht.ground_trajectory("EHLE").sum() == 0 - - flight = zurich_airport["SWR5220"] - assert flight is not None - - flight_iterate = flight.ground_trajectory("LSZH") - takeoff = next(flight_iterate) - assert ( - pd.Timestamp("2019-11-05 13:05:00+00:00") - < takeoff.stop - < pd.Timestamp("2019-11-05 13:06:00+00:00") - ) - landing = next(flight_iterate) - assert ( - pd.Timestamp("2019-11-05 16:36:00+00:00") - < landing.start - < pd.Timestamp("2019-11-05 16:37:00+00:00") - ) - assert next(flight_iterate, None) is None - - def test_DME_NSE_computation() -> None: flight = zurich_airport["EDW229"] assert flight is not None @@ -879,44 +583,6 @@ def test_DME_NSE_computation() -> None: assert_frame_equal(result_df[["NSE", "NSE_idx"]], expected, rtol=1e-3) -# @pytest.mark.skipif(version > (3, 13), reason="onnxruntime not ready") -def test_holding_pattern() -> None: - holding_pattern = belevingsvlucht.holding_pattern().next() - assert holding_pattern is not None - assert ( - holding_pattern.between("2018-05-30 15:45", "2018-05-30 15:50") - is not None - ) - - -# @pytest.mark.skipif(version > (3, 13), reason="onnxruntime not ready") -def test_label() -> None: - from traffic.data.datasets import landing_zurich_2019 - - labelled = belevingsvlucht.first("1h").label( - "holding_pattern", holding=True - ) - holding = labelled.query("holding") - assert holding is not None - assert holding.between("2018-05-30 15:45", "2018-05-30 15:50") is not None - - f = landing_zurich_2019["SWR287A_10099"] - labelled = f.label( - "aligned_on_ils('LSZH')", - ILS="{segment.ILS_max}", - touch=lambda segment: segment.stop, - index=lambda i, segment: i, - alt_min=lambda i, segment, flight: segment.altitude_min, - duration="lambda segment: segment.stop - segment.start", - ) - - assert labelled.index_max == 2 - ils = set(ils for ils in labelled.ILS_unique if not pd.isna(ils)) - assert ils == {"14", "28"} - min_duration = labelled.data.duration.astype("timedelta64[s]").min() - assert min_duration > pd.Timedelta("2 min 30 s") - - def test_split_condition() -> None: def no_split_below_5000(f1: Flight, f2: Flight) -> bool: return ( # type: ignore diff --git a/tests/test_flightplan.py b/tests/test_flightplan.py index 338dc998..fa2e6150 100644 --- a/tests/test_flightplan.py +++ b/tests/test_flightplan.py @@ -1,6 +1,8 @@ from itertools import pairwise from typing import List, cast +import pytest + import pandas as pd from traffic.core.flightplan import ( Airway, @@ -188,6 +190,7 @@ def test_flightplan() -> None: assert not isinstance(cur_, Point) or not isinstance(next_, Point) +@pytest.mark.extra def test_points() -> None: one_fp = flightplans[0] main_points = {"TOU", "LACOU", "CNA", "MANAK", "REVTU", "ROXOG", "OCK"} diff --git a/tests/test_navigation.py b/tests/test_navigation.py new file mode 100644 index 00000000..d246329e --- /dev/null +++ b/tests/test_navigation.py @@ -0,0 +1,335 @@ +import zipfile +from typing import Optional, cast + +import httpx +import pytest + +import pandas as pd +from traffic.core import Flight +from traffic.data import airports, runways +from traffic.data.samples import ( + airbus_tree, + belevingsvlucht, + elal747, + zurich_airport, +) + +# This part only serves on travis when the downloaded file is corrupted +# This shouldn't happen much as caching is now activated. +skip_runways = False + +try: + _ = runways.runways +except zipfile.BadZipFile: + skip_runways = True + + +def test_landing_airport() -> None: + assert belevingsvlucht.landing_airport().icao == "EHAM" + assert airbus_tree.landing_airport().icao == "EDHI" + + +def test_landing_runway() -> None: + last = belevingsvlucht.last(minutes=30) + segment = last.aligned_on_runway("EHAM").max() + assert segment is not None + assert segment.mean("altitude") < 0 + + +def test_aligned_runway() -> None: + assert belevingsvlucht.aligned_on_runway("EHAM").sum() == 2 + + +@pytest.mark.skipif(skip_runways, reason="no runways") +def test_landing_ils() -> None: + aligned: Optional["Flight"] = belevingsvlucht.aligned_on_ils("EHAM").next() + assert aligned is not None + assert aligned.max("ILS") == "06" + + aligned = belevingsvlucht.final("aligned_on_ils('EHLE')") + assert aligned is not None + assert aligned.ILS_max == "23" + + aligned = airbus_tree.aligned_on_ils("EDHI").next() + assert aligned is not None + assert aligned.max("ILS") == "23" + + +@pytest.mark.slow +def test_compute_navpoints() -> None: + from traffic.data.samples import switzerland + + df = switzerland["BAW585E"].compute_navpoints() + assert df is not None + assert df.navaid.to_list() == ["RESIA", "LUL", "IXILU"] + + df = switzerland["EZY24DP"].compute_navpoints() + assert df is not None + assert df.navaid.to_list() == ["RESIA", "ZH367", "LUL"] + + +@pytest.mark.skipif(skip_runways, reason="no runways") +@pytest.mark.slow +def test_takeoff_runway() -> None: + # There are as many take-off as landing at EHLE + nb_takeoff = sum( + 1 + for _ in belevingsvlucht.takeoff_from_runway("EHLE", threshold_alt=3000) + ) + nb_landing = sum(1 for f in belevingsvlucht.aligned_on_ils("EHLE")) + # with go-arounds, sometimes it just doesn't fit + assert nb_takeoff <= nb_landing + for aligned in belevingsvlucht.aligned_on_ils("EHLE"): + after = belevingsvlucht.after(aligned.stop) + assert after is not None + takeoff = after.takeoff_from_runway("EHLE", threshold_alt=3000).next() + # If a landing is followed by a take-off, then it's on the same runway + assert takeoff is None or aligned.max("ILS") == takeoff.max("runway") + + +@pytest.mark.skipif(True, reason="only for local debug") +def test_takeoff_goaround() -> None: + from traffic.data.datasets import landing_zurich_2019 + + go_arounds = landing_zurich_2019.has("go_around").eval( + desc="go_around", max_workers=8 + ) + assert go_arounds is not None + + for flight in go_arounds: + for segment in flight.go_around(): + aligned = segment.aligned_on_ils("LSZH").next() + assert aligned is not None + takeoff = ( + cast(Flight, segment.after(aligned.stop)) + .takeoff_from_runway("LSZH", threshold_alt=5000) + .next() + ) + assert ( + takeoff is None + or takeoff.shorter_than("30s") + or aligned.max("ILS") == takeoff.max("runway") + ) + + +@pytest.mark.skipif(skip_runways, reason="no runways") +def test_goaround() -> None: + assert belevingsvlucht.go_around().next() is None + assert belevingsvlucht.go_around("EHLE").sum() == 5 + + # from traffic.data.datasets import landing_zurich_2019 + # assert sum(1 for _ in landing_zurich_2019["EWG7ME_1079"].go_around()) == 2 + + # def many_goarounds(f): + # return sum(1 for _ in f.go_around()) > 1 + + # gogo = ( + # landing_zurich_2019.query("not simple") + # .iterate_lazy() + # .pipe(many_goarounds) + # .eval(desc="", max_workers=8) + # ) + + # assert gogo.flight_ids == {"SWR287A_10099", "EWG7ME_1079"} + + +@pytest.mark.xfail( + raises=httpx.TransportError, reason="Quotas on OpenStreetMap" +) +def test_parking_position() -> None: + lszh_pp = ( + airports["LSZH"]._openstreetmap().query('aeroway == "parking_position"') + ) + lirf_pp = ( + airports["LIRF"]._openstreetmap().query('aeroway == "parking_position"') + ) + + pp = elal747.on_parking_position("LIRF", parking_positions=lirf_pp).next() + assert pp is not None + assert pp.max("parking_position") == "702" + + # Landing aircraft + flight = zurich_airport["EDW229"] + assert flight is not None + + pp = flight.on_parking_position( + "LSZH", parking_positions=lszh_pp, buffer_size=1e-4 + ).next() + assert pp is not None + assert 5 < pp.duration.total_seconds() < 10 + assert pp.parking_position_max == "A49" + + +def test_slow_taxi() -> None: + flight = zurich_airport["SWR137H"] + assert flight is not None + slow_durations = sum( + ((slow_segment.duration,) for slow_segment in flight.slow_taxi()), + (), + ) + + assert len(slow_durations) == 4 + slow_durations_sum = sum(slow_durations, pd.Timedelta(0)) + assert slow_durations_sum > pd.Timedelta("0 days 00:06:00") + + flight = zurich_airport["ACA879"] + assert flight is not None + assert flight.slow_taxi().next() is None + + +@pytest.mark.xfail( + raises=httpx.TransportError, reason="Quotas on OpenStreetMap" +) +def test_pushback() -> None: + lszh_pp = ( + airports["LSZH"]._openstreetmap().query('aeroway == "parking_position"') + ) + + flight = zurich_airport["AEE5ZH"] + assert flight is not None + parking_position = flight.on_parking_position( + "LSZH", parking_positions=lszh_pp + ).max() + pushback = flight.pushback("LSZH", parking_positions=lszh_pp) + + assert parking_position is not None + assert pushback is not None + assert ( + parking_position.parking_position_max + == pushback.parking_position_max + == "A10" + ) + assert pushback.start <= parking_position.stop + assert pushback.stop >= parking_position.stop + + +@pytest.mark.xfail( + raises=httpx.TransportError, reason="Quotas on OpenStreetMap" +) +@pytest.mark.slow +def test_on_taxiway() -> None: + lszh_taxiway = ( + airports["LSZH"]._openstreetmap().query('aeroway == "taxiway"') + ) + lirf_taxiway = ( + airports["LIRF"]._openstreetmap().query('aeroway == "taxiway"') + ) + llbg_taxiway = ( + airports["LLBG"]._openstreetmap().query('aeroway == "taxiway"') + ) + + flight = zurich_airport["ACA879"] + assert flight is not None + assert len(flight.on_taxiway(lszh_taxiway)) == 3 + + last_stop = pd.Timestamp(0, tz="utc") + twy_names = ["Charlie", "Echo", "E2"] + for i, twy_seg in enumerate(flight.on_taxiway(lszh_taxiway)): + assert twy_seg.start >= last_stop + last_stop = twy_seg.stop + assert twy_seg.taxiway_max == twy_names[i] + + flight = zurich_airport["SWISS"] + assert flight is not None + assert flight.on_taxiway(lszh_taxiway).next() is None + + # another airport + last_stop = pd.Timestamp(0, tz="utc") + twy_names = ["V", "Z", "M", "R", "B", "BB"] + flight = elal747 + assert flight is not None + for i, twy_seg in enumerate(flight.on_taxiway(lirf_taxiway)): + assert twy_seg.start >= last_stop + last_stop = twy_seg.stop + assert twy_seg.taxiway_max == twy_names[i] + + # Landing + last_stop = pd.Timestamp(0, tz="utc") + twy_names = ["K", "M1", "D6"] + for i, twy_seg in enumerate(flight.on_taxiway(llbg_taxiway)): + assert twy_seg.start >= last_stop + last_stop = twy_seg.stop + assert twy_seg.taxiway_max == twy_names[i] + + # Flight that leaves and come back to the airport + flight = zurich_airport["SWR5220"] + assert flight is not None + assert len(flight.on_taxiway(lszh_taxiway)) == 9 + + +@pytest.mark.slow +def test_ground_trajectory() -> None: + flight_iterate = belevingsvlucht.ground_trajectory("EHAM") + takeoff = next(flight_iterate) + assert ( + pd.Timestamp("2018-05-30 15:21:00+00:00") + < takeoff.stop + < pd.Timestamp("2018-05-30 15:22:00+00:00") + ) + landing = next(flight_iterate) + assert ( + pd.Timestamp("2018-05-30 20:17:00+00:00") + < landing.start + < pd.Timestamp("2018-05-30 20:18:00+00:00") + ) + assert next(flight_iterate, None) is None + + assert belevingsvlucht.ground_trajectory("EHLE").sum() == 0 + + flight = zurich_airport["SWR5220"] + assert flight is not None + + flight_iterate = flight.ground_trajectory("LSZH") + takeoff = next(flight_iterate) + assert ( + pd.Timestamp("2019-11-05 13:05:00+00:00") + < takeoff.stop + < pd.Timestamp("2019-11-05 13:06:00+00:00") + ) + landing = next(flight_iterate) + assert ( + pd.Timestamp("2019-11-05 16:36:00+00:00") + < landing.start + < pd.Timestamp("2019-11-05 16:37:00+00:00") + ) + assert next(flight_iterate, None) is None + + +# @pytest.mark.skipif(version > (3, 13), reason="onnxruntime not ready") +@pytest.mark.slow +def test_holding_pattern() -> None: + holding_pattern = belevingsvlucht.holding_pattern().next() + assert holding_pattern is not None + assert ( + holding_pattern.between("2018-05-30 15:45", "2018-05-30 15:50") + is not None + ) + + +# @pytest.mark.skipif(version > (3, 13), reason="onnxruntime not ready") +@pytest.mark.slow +def test_label() -> None: + from traffic.data.datasets import landing_zurich_2019 + + labelled = belevingsvlucht.first("1h").label( + "holding_pattern", holding=True + ) + holding = labelled.query("holding") + assert holding is not None + assert holding.between("2018-05-30 15:45", "2018-05-30 15:50") is not None + + f = landing_zurich_2019["SWR287A_10099"] + labelled = f.label( + "aligned_on_ils('LSZH')", + ILS="{segment.ILS_max}", + touch=lambda segment: segment.stop, + index=lambda i, segment: i, + alt_min=lambda i, segment, flight: segment.altitude_min, + duration="lambda segment: segment.stop - segment.start", + ) + + assert labelled.index_max == 2 + ils = set(ils for ils in labelled.ILS_unique if not pd.isna(ils)) + assert ils == {"14", "28"} + min_duration = labelled.data.duration.astype("timedelta64[s]").min() + assert min_duration > pd.Timedelta("2 min 30 s") diff --git a/tests/test_traffic.py b/tests/test_traffic.py index 71888180..90728e26 100644 --- a/tests/test_traffic.py +++ b/tests/test_traffic.py @@ -1,3 +1,5 @@ +import pytest + import pandas as pd from traffic.core import Flight from traffic.data import eurofirs @@ -83,6 +85,7 @@ def high_altitude(flight: Flight) -> bool: return flight.altitude_min > 35000 # type: ignore +@pytest.mark.slow def test_chaining() -> None: sw_filtered = ( switzerland.between("2018-08-01", "2018-08-02") # type: ignore @@ -109,6 +112,7 @@ def test_chaining() -> None: assert handle.callsign == flight_id.split("_")[0] +@pytest.mark.slow def test_chaining_with_lambda() -> None: sw_filtered = ( switzerland.between("2018-08-01", "2018-08-02") # type: ignore diff --git a/tests/tests.env b/tests/tests.env new file mode 100644 index 00000000..1171a30f --- /dev/null +++ b/tests/tests.env @@ -0,0 +1,2 @@ +OPENSKY_CACHE = ./tests/cache/ +CARTES_CACHE = ./tests/cartes/ diff --git a/uv.lock b/uv.lock index 8675a538..427801c5 100644 --- a/uv.lock +++ b/uv.lock @@ -2993,6 +2993,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892 }, ] +[[package]] +name = "python-dotenv" +version = "1.0.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/bc/57/e84d88dfe0aec03b7a2d4327012c1627ab5f03652216c63d49846d7a6c58/python-dotenv-1.0.1.tar.gz", hash = "sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca", size = 39115 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/6a/3e/b68c118422ec867fa7ab88444e1274aa40681c606d59ac27de5a5588f082/python_dotenv-1.0.1-py3-none-any.whl", hash = "sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a", size = 19863 }, +] + [[package]] name = "pytz" version = "2024.2" @@ -3893,7 +3902,7 @@ wheels = [ [[package]] name = "traffic" -version = "2.11.2.dev6+g0efee26.d20250102" +version = "2.11.2.dev7+g9f3457e.d20250102" source = { editable = "." } dependencies = [ { name = "cartes" }, @@ -3906,6 +3915,7 @@ dependencies = [ { name = "py7zr" }, { name = "pyarrow" }, { name = "pyopensky" }, + { name = "python-dotenv" }, { name = "rich" }, { name = "rs1090" }, { name = "typing-extensions" }, @@ -3968,6 +3978,7 @@ requires-dist = [ { name = "pyarrow", specifier = ">=18.0.0" }, { name = "pyopensky", specifier = ">=2.11" }, { name = "pyspark", marker = "extra == 'spark'", specifier = ">=3.5.3" }, + { name = "python-dotenv", specifier = ">=1.0.1" }, { name = "rich", specifier = ">=13.9.4" }, { name = "rs1090", specifier = ">=0.3.8" }, { name = "scikit-learn", marker = "extra == 'learning'", specifier = ">=1.5.2" },