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# -*- coding: utf-8 -*-
import os
import json
import datetime
import time
import itertools
import numpy
import bottle
import ebus.datastore
datastore = ebus.datastore.Datastore("testhdffiles")
app = bottle.Bottle("ebus")
def maketime(dt):
"""Rechnet CET DateTime in CET timestamp"""
return time.mktime(dt.timetuple())*1000 # - time.altzone)*1000
def parsetime(timestamp):
"""Macht aus CET timestamp Local DateTime"""
return datetime.datetime.fromtimestamp((timestamp/1000)) # + time.altzone)
def now(conn):
return conn.execute(text("SELECT CURRENT_TIMESTAMP t")).first().t
@app.route('/')
def index_file():
return static_files("index.html")
@app.route('/static/:filename#.+#')
def static_files(filename):
return bottle.static_file(filename, root=os.path.join(os.path.dirname(__file__),"static"))
@app.get('/sensor/:name')
def sensor_data_get(name):
try:
table = datastore.getTable(name)
with datastore:
data = table.readSorted(sortby="timestamp", checkCSI=True, start=0, stop=1,step=-1).tolist()[0]
return {'sensor':name,'error':None,'data':data}
except Exception,e:
return {'sensor':name,'data':None, 'error':str(e)}
@app.put('/sensor/:name')
def sensor_data_put(name):
try:
value = bottle.request.POST.value
type = bottle.request.POST.type
timestamp = int(time.time())
if type == "int":
klass = ebus.datastore.ValueInt
elif type == "float":
klass = ebus.datastore.ValueFloat
elif type == "string":
klass = ebus.datastore.ValueString
else:
return {'error':'INVALID_TYPE', msg:'Type {0} is invalid'.format(type)}
datastore.addValue(name, timestamp, value, klass, flush=True)
return {'error':None,'msg':"Stored {0} of type {1} with timestamp {2} to {3}".format(value,type,timestamp,name)}
except Exception,e:
return {'error':e,'msg':e}
@app.route('/sensor/:name/:startdate/:enddate')
def sensor_name_start_end(name,startdate,enddate):
try:
startdate, enddate = int(startdate), int(enddate)
table=datastore.getTable(name)
with datastore:
data = [(x['timestamp']*1000, x['value'])
for x in table.where("(timestamp >= startdate) & (timestamp <= enddate)")]
return {'sensor':name, 'error':None,'data':data}
except Exception,e:
return {'sensor':name,'data':None, 'error':str(e)}
@app.route('/avg/:name/:startdate')
def sensor_avg_start(name, startdate):
period = 60*15 # 15min
try:
startdate, enddate = int(startdate), int(time.time())
table=datastore.getTable(name)
with datastore:
sel_rows = table.where("(timestamp >= startdate) & (timestamp <=enddate)")
f_group = range(startdate, enddate, period)
data = map(lambda (group_id, grouped_rows): (group_id, numpy.average([row['value'] for row in grouped_rows])),
itertools.groupby(sel_rows, lambda t: (t['timestamp']/period)*period))
data = map(lambda (timestamp,value): (timestamp*1000, value), data)
return {'sensor':name, 'error':None,'data':data}
except Exception,e:
return {'sensor':name, 'error':str(e), 'data':None}
# vim: autoindent tabstop=4 shiftwidth=4 expandtab softtabstop=4 filetype=python
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