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db.py
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db.py
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import os
from urllib.parse import urlsplit
from pymongo import MongoClient
from multiprocessing import Process
import process
import json
import time
def get_db():
url = os.getenv('MONGO_URI', 'mongodb://localhost:27017/tracemap')
parsed = urlsplit(url)
db_name = parsed.path[1:]
# Get your DB
db = MongoClient(url)[db_name]
# Authenticate
if '@' in url:
user, password = parsed.netloc.split('@')[0].split(':')
db.authenticate(user, password)
return db
def get_traces(db):
l = []
cur = db.traces.find({}, {"nb_places":1, "nb_movements":1,
"starttime":1,"endtime":1,"trace_id":1,"user_id":1, "uptime":1})
for doc in cur:
l.append({
"delete": '<a class="delete-icon" href="#"><i class="glyphicon glyphicon-remove icon-remove"></i></a>',
"trace_id": doc['trace_id'],
"user_id": doc['user_id'],
"uptime": doc['uptime'],
"nb_movements": doc['nb_movements'],
"nb_places": doc['nb_places'],
"starttime": doc['starttime'],
"endtime": doc['endtime']
})
return l
def delete_trace(db, trace_id, user_id):
print("remove "+trace_id+" "+user_id)
db.traces.delete_one({"trace_id": trace_id, "user_id": user_id})
return {"msg": "done"}
def get_traces_list(db):
l = {}
cur = db.traces.find({}, {"nb_places":1, "nb_movements":1,
"starttime":1,"endtime":1,"trace_id":1,"user_id":1, "uptime":1})
for doc in cur:
tid = doc['trace_id'] + "_" + doc['user_id']
tid_pl = tid + "_places"
tid_mov = tid + "_movements"
l[tid_pl] = {
"trace_id": doc['trace_id'],
"user_id": doc['user_id'],
"uptime": doc['uptime'],
"source-id": tid_pl,
"data-type": "geojson",
"type": "circle",
"nb": doc['nb_places'],
"starttime": doc['starttime'],
"endtime": doc['endtime'],
"legend": {
"key-1": {
"key-property": "circle-color",
"key-title": "Time spent at locations (seconds)"
}
},
"popup": {
"attributes": {
"ts_start": "dateMS",
"ts_end": "dateMS",
"dur": "timeMS"
},
"lnglat": True
},
"timeline": {
"start": int(doc['starttime']),
"end": int(doc['endtime']),
"dataType": "dateMS"
},
"paint": {
"circle-color": {
"property": "dur",
"stops": [
[0, "#FCA107"],
[100000, "#7F3121"]
]
},
"circle-radius": 5
},
"layout": {}
}
l[tid_mov] = {
"trace_id": doc['trace_id'],
"user_id": doc['user_id'],
"uptime": doc['uptime'],
"source-id": tid_mov,
"data-type": "geojson",
"type": "line",
"nb": doc['nb_movements'],
"starttime": doc['starttime'],
"endtime": doc['endtime'],
"legend": {
"key-1": {
"key-property": "line-color",
"key-title": "Speed between places (m/s)"
}
},
"popup": {
"attributes": {
"ts_start": "dateMS",
"ts_end": "dateMS",
"dur": "timeMS",
"speed": None
},
"lnglat": False
},
"timeline": {
"start": int(doc['starttime']),
"end": int(doc['endtime']),
"dataType": "dateMS"
},
"paint": {
"line-color": {
"property": "speed",
"stops": [
[0, "#FCA107"],
[100, "#7F3121"]
]
},
"line-width": 2
},
"layout": {
"line-join": "round",
"line-cap": "round"
}
}
return l
def get_trace(db, trace_id, user_id, trace_type):
trace_filter = {"trace_id": trace_id, "user_id": user_id}
trace_projection = {}
trace_type_name = ""
if trace_type == "circle":
trace_projection["places"] = 1
trace_type_name = "places"
elif trace_type == "line":
trace_projection["movements"] = 1
trace_type_name = "movements"
res = db.traces.find_one(trace_filter, trace_projection)
return res[trace_type_name]
def add_trace_db(db, geojson_pl, geojson_mov, stats, trace_id, user_id):
print("add trace to db")
d = db.traces.find_one({'trace_id': trace_id})
if d and d['nb_places'] > 0:
print(trace_id + ' already in database')
return
d = {
"trace_id": trace_id,
"user_id": user_id,
"starttime": stats.starttime,
"endtime": stats.endtime,
"uptime": time.time(),
"nb_places": stats.nb_places,
"nb_movements": stats.nb_movements,
"places": json.loads(geojson_pl),
"movements": json.loads(geojson_mov)
}
db.traces.insert_one(d)
def process_new_trace(db, path, trace_id, user_id, proc):
print("process trace " + path)
if proc:
pl, mov, stats = process.aggregate_trace(path, user_id)
else:
pl, mov, stats = process.process_trace(path, user_id)
# Remove the trace after having processed it
os.remove(path)
# put the txt in the mongoDB database
add_trace_db(db, pl, mov, stats, trace_id, user_id)
if __name__ == '__main__':
db = get_db()
trace_filter = {"trace_id": "sample_trace_5.csv", "user_id": "abdcd2"}
trace_projection = {"places": 1}
print(db.traces.find_one(trace_filter, trace_projection)['places'])