# -*- 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}

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