1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
"""Generic GeoJSON feed."""
from __future__ import annotations
import logging
from datetime import datetime
from aio_geojson_client.feed import GeoJsonFeed
from aiohttp import ClientSession
from geojson import FeatureCollection
from .feed_entry import GenericFeedEntry
_LOGGER = logging.getLogger(__name__)
class GenericFeed(GeoJsonFeed[GenericFeedEntry]):
"""Generic GeoJSON feed."""
def __init__(
self,
websession: ClientSession,
home_coordinates: tuple[float, float],
url: str,
filter_radius: float = None,
):
"""Initialise this service."""
super().__init__(websession, home_coordinates, url, filter_radius=filter_radius)
def __repr__(self):
"""Return string representation of this feed."""
return "<{}(home={}, url={}, radius={})>".format(
self.__class__.__name__,
self._home_coordinates,
self._url,
self._filter_radius,
)
def _new_entry(
self, home_coordinates: tuple[float, float], feature, global_data: dict
) -> GenericFeedEntry:
"""Generate a new entry."""
return GenericFeedEntry(home_coordinates, feature)
def _extract_last_timestamp(
self, feed_entries: list[GenericFeedEntry]
) -> datetime | None:
"""Determine latest (newest) entry from the filtered feed."""
if feed_entries:
dates = sorted(
filter(None, [entry.publication_date for entry in feed_entries]),
reverse=True,
)
if dates:
return dates[0]
return None
def _extract_from_feed(self, feed: FeatureCollection) -> dict | None:
"""Extract global metadata from feed."""
return None
|
