Added a new end point that determines a road type according to lon and lat #1583
Conversation
…d lat coordinates.
Codecov Report
@@ Coverage Diff @@
## dev #1583 +/- ##
==========================================
- Coverage 52.71% 51.09% -1.62%
==========================================
Files 62 62
Lines 6031 6012 -19
==========================================
- Hits 3179 3072 -107
- Misses 2852 2940 +88
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
|
| @@ -791,6 +792,68 @@ def is_anonymous(self): | |||
| def get_id(self): | |||
| return self.id | |||
|
|
|||
| class WazeAllerts(Base): | |||
There was a problem hiding this comment.
Waze alerts table exists (See class WazeAlert in this file)
What there's a need in another one?
| from sys import maxsize | ||
| @user_optional | ||
| def get_road_type(lat: float, lon: float): | ||
| offset = 0.00001 |
There was a problem hiding this comment.
How did you decide on the offset size (0.00001)?
In general - I suggest using geographical query instead of the query below -see geom.intersects here
In this case - I think that using both the geographical query and the road_number / street name together can be very powerful - just using one of them is not enought.
However - we can start with geographical query and improve it.
No description provided.