"""Test equipment positions.""" from __future__ import annotations from collections import Counter, defaultdict import datetime as dt import math import numpy as np import pandas as pd from typing import Any def data_dict() -> defaultdict[str, Any]: """Return all equipment positions.""" d = defaultdict(list) d["T123"].append({"position": {"x": 42, "y": 24, "z": 0.42}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) d["T456"].append({"position": {"x": 21.0, "y": 34, "z": 0.289}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) d["T789"].append({"position": {"x": 17, "y": 39, "z": 0.789}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) d["T456"].append({"position": {"x": 91.0, "y": 114, "z": 0.489}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)}) d["T123"].append({"position": {"x": 43, "y": 25, "z": 0.43}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)}) d["T789"].append({"position": {"x": 19., "y": 79, "z": 0.991}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)}) d["T123"].append({"position": {"x": 46, "y": 29, "z": 0.44}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)}) d["T456"].append({"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)}) d["T123"].append({"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)}) d["T789"].append({"position": {"x": 23., "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)}) return d def latest_snapshot() -> dict[str, Any]: """Return a snapshot of latest equipment.""" return { "T123": {"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)}, "T456": {"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)}, "T789": {"position": {"x": 23.0, "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)}, } def counts() -> dict[str, int]: """Return counts per equipment.""" return { "T123": 4, "T456": 3, "T789": 3 } def speeds() -> defaultdict[str, Any]: """Return speeds of equipment.""" d = defaultdict(list) d["T123"].append({"speed": 4.242654947082074, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)}) d["T123"].append({"speed": 5.00000999999, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)}) d["T123"].append({"speed": 1.4142489172702237, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)}) d["T123"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) d["T456"].append({"speed": 102.0687849638664, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)}) d["T456"].append({"speed": 35.43388209045123, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)}) d["T456"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) d["T789"].append({"speed": 4.473538196997986, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)}) d["T789"].append({"speed": 6.6750796998987205, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)}) d["T789"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)}) return d def find_furthest_west(d: defaultdict) -> str: """ Find the name of the truck that is furthest west. That is, the truck with the smallest easting position component. """ min_x = float('inf') furthest_west = None for equipment, positions in d.items(): for pos in positions: if pos["position"]["x"] < min_x: min_x = pos["position"]["x"] furthest_west = equipment return furthest_west def get_latest_snapshot(d: defaultdict) -> dict[str, Any]: """ Return a snapshot of the latest positional updates for the equipment. """ snapshot = {} for equipment, positions in d.items(): latest_pos = max(positions, key=lambda x: x["timestamp"]) snapshot[equipment] = latest_pos return snapshot def get_counts(d: defaultdict) -> dict[str, int]: """Return a dict of trucks and the times they have provided updates.""" return {equipment: len(positions) for equipment, positions in d.items()} def calculate_speeds(d: defaultdict) -> defaultdict[str, Any]: """Return a dict of equipment and the speeds they are travelling at.""" pass
- """Test equipment positions."""
- from __future__ import annotations
- from collections import Counter, defaultdict
- import datetime as dt
- import math
- import numpy as np
- import pandas as pd
- from typing import Any
- def data_dict() -> defaultdict[str, Any]:
- """Return all equipment positions."""
- d = defaultdict(list)
- d["T123"].append({"position": {"x": 42, "y": 24, "z": 0.42}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- d["T456"].append({"position": {"x": 21.0, "y": 34, "z": 0.289}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- d["T789"].append({"position": {"x": 17, "y": 39, "z": 0.789}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- d["T456"].append({"position": {"x": 91.0, "y": 114, "z": 0.489}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
- d["T123"].append({"position": {"x": 43, "y": 25, "z": 0.43}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
- d["T789"].append({"position": {"x": 19., "y": 79, "z": 0.991}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
- d["T123"].append({"position": {"x": 46, "y": 29, "z": 0.44}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
- d["T456"].append({"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
- d["T123"].append({"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
- d["T789"].append({"position": {"x": 23., "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
- return d
- def latest_snapshot() -> dict[str, Any]:
- """Return a snapshot of latest equipment."""
- return {
- "T123": {"position": {"x": 49.0, "y": 32, "z": 0.451}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)},
- "T456": {"position": {"x": 24.0, "y": 37, "z": 0.297}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)},
- "T789": {"position": {"x": 23.0, "y": 81, "z": 1.103}, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)},
- }
- def counts() -> dict[str, int]:
- """Return counts per equipment."""
- return {
- "T123": 4,
- "T456": 3,
- "T789": 3
- }
- def speeds() -> defaultdict[str, Any]:
- """Return speeds of equipment."""
- d = defaultdict(list)
- d["T123"].append({"speed": 4.242654947082074, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
- d["T123"].append({"speed": 5.00000999999, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=2)})
- d["T123"].append({"speed": 1.4142489172702237, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=1)})
- d["T123"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- d["T456"].append({"speed": 102.0687849638664, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=4)})
- d["T456"].append({"speed": 35.43388209045123, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=3)})
- d["T456"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- d["T789"].append({"speed": 4.473538196997986, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=7)})
- d["T789"].append({"speed": 6.6750796998987205, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=6)})
- d["T789"].append({"speed": None, "timestamp": dt.datetime(2022, 1, 1, hour=12, minute=0, second=0)})
- return d
- def find_furthest_west(d: defaultdict) -> str:
- """
- Find the name of the truck that is furthest west. That is,
- the truck with the smallest easting position component.
- """
pass- min_x = float('inf')
- furthest_west = None
- for equipment, positions in d.items():
- for pos in positions:
- if pos["position"]["x"] < min_x:
- min_x = pos["position"]["x"]
- furthest_west = equipment
- return furthest_west
- def get_latest_snapshot(d: defaultdict) -> dict[str, Any]:
- """
- Return a snapshot of the latest positional updates for the
- equipment.
- """
pass- snapshot = {}
- for equipment, positions in d.items():
- latest_pos = max(positions, key=lambda x: x["timestamp"])
- snapshot[equipment] = latest_pos
- return snapshot
- def get_counts(d: defaultdict) -> dict[str, int]:
- """Return a dict of trucks and the times they have provided updates."""
pass- return {equipment: len(positions) for equipment, positions in d.items()}
- def calculate_speeds(d: defaultdict) -> defaultdict[str, Any]:
- """Return a dict of equipment and the speeds they are travelling at."""
- pass