2020-02-17 19:25:10 -08:00
|
|
|
from . import app, db
|
2020-02-01 14:29:56 -08:00
|
|
|
from .jwt import jwt_required
|
|
|
|
from .model import *
|
|
|
|
from flask import g, jsonify, request, abort
|
|
|
|
from sqlalchemy import func
|
2020-05-12 22:07:59 -07:00
|
|
|
from geopy.distance import geodesic
|
2020-05-12 18:40:59 -07:00
|
|
|
from datetime import datetime, timedelta
|
2020-02-01 14:29:56 -08:00
|
|
|
|
|
|
|
@app.route('/')
|
|
|
|
def index():
|
|
|
|
return 'Hello, world!'
|
|
|
|
|
|
|
|
@app.route('/login', methods=['POST'])
|
|
|
|
def login():
|
|
|
|
username = request.form.get('username')
|
|
|
|
password = request.form.get('password')
|
|
|
|
if username is None or password is None: abort(400)
|
|
|
|
user = User.query.filter_by(username=username).first()
|
|
|
|
if user is None or not user.check_password(password): abort(400)
|
|
|
|
return jsonify({ 'token': user.get_jwt().decode() })
|
|
|
|
|
|
|
|
@app.route('/me')
|
|
|
|
@jwt_required
|
|
|
|
def me():
|
|
|
|
return jsonify({ 'username' : g.user.username })
|
|
|
|
|
|
|
|
@app.route('/collars')
|
|
|
|
@jwt_required
|
|
|
|
def collars():
|
2020-02-17 19:25:10 -08:00
|
|
|
active_collars = []
|
|
|
|
for collar in Collar.query.filter_by(active=True).all():
|
|
|
|
max_point = DataPoint.query.filter_by(collar_id=collar.id).\
|
|
|
|
order_by(DataPoint.datetime.desc()).\
|
|
|
|
first()
|
|
|
|
active_collars.append(
|
|
|
|
{'id': collar.id, 'name': collar.name, 'pos':
|
|
|
|
{'longitude': max_point.longitude, 'latitude': max_point.latitude}}
|
|
|
|
)
|
|
|
|
|
2020-02-01 14:29:56 -08:00
|
|
|
return jsonify(active_collars)
|
|
|
|
|
2020-05-12 17:29:40 -07:00
|
|
|
@app.route('/collars/stats/distance')
|
|
|
|
@jwt_required
|
|
|
|
def collars_distance():
|
|
|
|
active_collars = []
|
|
|
|
for collar in Collar.query.filter_by(active=True).all():
|
|
|
|
coords = DataPoint.query.filter_by(collar_id=collar.id).\
|
|
|
|
order_by(DataPoint.datetime.desc())
|
|
|
|
|
|
|
|
distance_kilometers = 0
|
|
|
|
coords_pairs = list(map(lambda e : (e.longitude, e.latitude), coords))
|
2020-05-12 22:07:59 -07:00
|
|
|
if len(coords_pairs) < 1: continue
|
2020-05-12 17:29:40 -07:00
|
|
|
|
2020-05-12 17:37:48 -07:00
|
|
|
coord_last = coords_pairs.pop(0)
|
2020-05-12 17:29:40 -07:00
|
|
|
for coord in coords_pairs:
|
2020-05-12 22:07:59 -07:00
|
|
|
distance_kilometers += geodesic(coord_last,coord).km
|
2020-05-12 17:29:40 -07:00
|
|
|
coord_last = coord
|
|
|
|
|
|
|
|
active_collars.append(
|
|
|
|
{'id': collar.id, 'name': collar.name,
|
|
|
|
'distance': distance_kilometers }
|
|
|
|
)
|
|
|
|
|
|
|
|
return jsonify(active_collars)
|
|
|
|
|
2020-02-01 14:29:56 -08:00
|
|
|
@app.route('/collars/<int:id>/history')
|
|
|
|
@jwt_required
|
|
|
|
def collar_history(id):
|
|
|
|
collar = Collar.query.filter_by(id=id).first()
|
|
|
|
if collar is None: abort(404)
|
|
|
|
|
|
|
|
data_points = DataPoint.query.\
|
|
|
|
filter_by(collar_id=id).\
|
|
|
|
order_by(DataPoint.datetime.desc()).\
|
|
|
|
all()
|
|
|
|
return jsonify([point.to_dict() for point in data_points])
|
2020-05-12 17:32:47 -07:00
|
|
|
|
|
|
|
@app.route('/collars/<int:id>/details')
|
|
|
|
@jwt_required
|
|
|
|
def collar_detail(id):
|
|
|
|
collar = Collar.query.filter_by(id=id).first()
|
|
|
|
if collar is None: abort(404)
|
|
|
|
|
2020-05-12 18:40:59 -07:00
|
|
|
# get stimulus activation reports from within last 24 hours
|
|
|
|
since = datetime.now() - timedelta(hours=24)
|
|
|
|
stimulus_points = StimulusActivation.query.\
|
|
|
|
filter_by(collar_id=id).\
|
|
|
|
filter(StimulusActivation.datetime < since).\
|
|
|
|
order_by(StimulusActivation.datetime.desc())
|
|
|
|
n_stimulus = stimulus_points.count()
|
|
|
|
|
2020-05-12 18:42:59 -07:00
|
|
|
return jsonify({'id': collar.id, 'name': collar.name, 'stimulus': n_stimulus })
|