input_store = InputStore(FARMWARE_NAME, defaults=INPUT_DEFAULTS)
# set logger level
Logger.set_level(input_store.input["debug"])
# create SequenceExecutor instance
sexec = SequenceExecutor(FARMWARE_NAME, input_store.input)
log(
"Started with python version {}".format(sys.version_info),
message_type="info",
title="init",
)
# create Plants class instance
plants = Plants(FARMWARE_NAME, input_store.input)
grid_points = GridPoints(FARMWARE_NAME, input_store.input)
# Start a concurrent task executor, with pool size 4
# Example at doc @ https://docs.python.org/3/library/concurrent.futures.html
executor = concurrent.futures.ProcessPoolExecutor(max_workers=4)
# load the plants
points_plants = plants.load_points_with_filters()
# Use plants loaded to choose grid waypoints, if overlap < 20, use basic waypoints
if input_store.input["grid_coverage_summarize"] is True:
waypoints = grid_points.calc_waypoints_summary(points_plants)
else:
waypoints = grid_points.calc_waypoints_basic(points_plants)
def run_after_each(p):
Logger.set_level(3)
log(
"Started with python version {}".format(sys.version_info),
message_type="info",
title="init",
)
# Load fake plants
points_plants = FakePlants.get_fake_plants()
# init instance of GridPoints
grid_points = GridPoints(
FARMWARE_NAME,
config={
"grid_coverage_per_step": cover,
"grid_coverage_offset": offset,
"grid_coverage_overlap": overlap,
},
)
# points_grid = grid_points.calc_waypoints_basic(points_plants)
# Use plants loaded to choose grid waypoints, if overlap = 0, use basic waypoints
if overlap >= 30:
waypoints = grid_points.calc_waypoints_summary(points_plants)
else:
waypoints = grid_points.calc_waypoints_basic(points_plants)
points = waypoints if waypoints else points_plants
# ------------- plot plants ----------------
fig = plt.figure()