def getjson(request, datatype):
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
daysofweek = req.get('daysofweek', '')
reply = req.get('reply', None)
lat = bool(req.get('lat', False))
email = req.get('email', None)
granularity = req.get('granularity', None)
if start: start = parse(start)
if end: end = parse(end)
if daysofweek: daysofweek = daysofweek.split(",")
if reply is not None: reply = bool(reply)
curruser = User.objects.get(username=request.user)
#ATTENTION: going to need to change the host once we deploy live
#conn_string = "host=localhost dbname=liamg user=liamg password=liamg"
#connect to db to get the data
#conn = psycopg2.connect(conn_string)
conn = connection
#get the curruser id so that you can pass it to the functions below
curridsql = "select id from accounts where user_id = %s"
c = conn.cursor()
c.execute(curridsql, (request.user.pk,))
currid = c.fetchone()[0]
###################
#This portion of the code will be to retrieve the graph data for the rec'd tab
###################
#get the top people who respond to the user
if datatype == 'topsenders':
req = request.REQUEST
start = req.get('start', None)
print start
end = req.get ('end', None)
top = 10
email = curruser.username
data = topsenders.get_top_senders(top, start, end, email, conn)
#use this to get the mini graph next to the top ten that displays count
elif datatype == "getcount":
#called from timeline.py
bd = ByDayNorm()
queries = []
#get the queries for the line charts in the top ten
queries.append(('y', bd.get_sql(lat=lat, reply=reply, start=start, end=end, granularity=granularity, email=email, currid=currid)))
ld = BDLineData()
chartdata, maxval = ld.get_data(queries, conn, 1, granularity=granularity, start=start, end=end)
data = [chartdata, maxval]
#get the rate for a specifc user (filtered) and for the general population
elif datatype == "getrate":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
emailAddy = curruser.username
replyAddy = req.get('email', 'ALL')
#if there is an empty email string, then set the replyAddy to ALL - this
#will filter for the entire database
if replyAddy == "":
replyAddy = 'ALL'
mode = req.get('mode', None)
data = responseRateByTime.get_response_rate(mode, start, end, emailAddy, replyAddy, conn)
#use this to get the count in the first graph for the rec'd tab
elif datatype == "byhour":
#called from statsbyhour.py
ebh = RepliesByHour()
queries = []
queries.append(('y', ebh.get_sql(lat=lat, reply=reply, start=start, end=end,
daysofweek=daysofweek, email=email, currid = currid)))
ld = LineData()
data = ld.get_data(queries, conn)
#Update: WHAT DOES THIS DO?
# elif datatype == "contacts":
# contacts = Contacts()
# data = contacts.get_data(conn)
#Update: NOT SURE WHAT THIS DOES?
# elif datatype == "getlatency":
# bd = ByDay()
# queries = []
# queries.append(('y', bd.get_sql(lat=lat, reply=reply, start=start, end=end,
# granularity=granularity, email=email)))
# ld = BDLineData()
# chartdata, maxval = ld.get_data(queries, conn, 0, granularity=granularity, start=start, end=end)
# data = [chartdata, maxval]
########################
#This portion of the code will be for the sent tab
########################
#get the sent top ten people who the user contacts
elif datatype == "topsent":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
top = 10
email = curruser.username
data = topsent.get_top_sent(top, start, end, email, conn)
#TODO: use this to get the mini charts for the sent tab
elif datatype == "countmini":
print 'hello' #enter code here
#Use this to get the count of emails that a person sends to others
elif datatype == "countsent":
queries = []
user = curruser.username
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
to_email = req.get('email', None)
queries.append(('y',sent_tab.get_count_sent_sql(start, end, user, to_email, conn)))
ld = LineData()
data = ld.get_data(queries, conn)
#TODO: use this to get the delay between when user responds to emails that others send to them
elif datatype == "delay_sent":
print 'hello'#enter code here that gets the delay
elif datatype == "rate_sent":
#WIP: working on the connection to the already made algorithm for determining rate
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
replyAddy = curruser.username
emailAddy = req.get('email', 'ALL')
#if there is an empty email string, then set the replyAddy to ALL - this
#will filter for the entire database
if emailAddy == "":
emailAddy = 'ALL'
mode = req.get('mode', None)
data = responseRateByTime.get_response_rate(mode, start, end, emailAddy, replyAddy, conn)
else:
return HttpResponse('json call not recognized')
# return data as json
return HttpResponse(json.dumps(data), mimetype="application/json")
def getjson(request, datatype):
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
daysofweek = req.get('daysofweek', '')
reply = req.get('reply', None)
lat = bool(req.get('lat', False))
email = req.get('email', None)
granularity = req.get('granularity', None)
if start: start = parse(start)
if end: end = parse(end)
if daysofweek: daysofweek = daysofweek.split(",")
if reply is not None: reply = bool(reply)
curruser = User.objects.get(username=request.user)
#ATTENTION: going to need to change the host once we deploy live
#conn_string = "host=localhost dbname=liamg user=liamg password=liamg"
#connect to db to get the data
#conn = psycopg2.connect(conn_string)
conn = connection
#DEPRECATED: for the sqlite prototype database
#conn = sqlite3.connect(curruser.dbname, detect_types=sqlite3.PARSE_DECLTYPES)
#get the curruser id so that you can pass it to the functions below
curridsql = "select id from accounts where user_id = %s"
c = conn.cursor()
c.execute(curridsql, (request.user.pk,))
currid = c.fetchone()[0]
#get the top people who respond to the user
if datatype == 'topsenders':
req = request.REQUEST
start = req.get('start', None)
end = req.get ('end', None)
top = 10
email = curruser.username
data = topsenders.get_top_senders(top, start, end, email, conn)
#get the sent top ten people who the user contacts
elif datatype == "topsent":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
top = 10
email = curruser.username
data = topsent.get_top_sent(top, start, end, email, conn)
#get the rate for a specifc user (filtered) and for the general population
elif datatype == "getrate":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
emailAddy = curruser.username
replyAddy = req.get('email', None)
mode = req.get('mode', None)
data = responseRateByTime.get_response_rate(mode, start, end, emailAddy, replyAddy, conn)
#use this to get the count in the first graph and maybe the second graph?
elif datatype == "byhour":
ebh = RepliesByHour()
queries = []
queries.append(('y', ebh.get_sql(lat=lat, reply=reply, start=start, end=end,
daysofweek=daysofweek, email=email, currid = currid)))
ld = LineData()
data = ld.get_data(queries, conn)
#not sure what this does yet?
elif datatype == "contacts":
contacts = Contacts()
data = contacts.get_data(conn)
#get the second graph that shows the response time
elif datatype == "getlatency":
bd = ByDay()
queries = []
queries.append(('y', bd.get_sql(lat=lat, reply=reply, start=start, end=end,
granularity=granularity, email=email)))
ld = BDLineData()
chartdata, maxval = ld.get_data(queries, conn, 0, granularity=granularity, start=start, end=end)
data = [chartdata, maxval]
#use this to get the small graph next to the top ten
elif datatype == "getcount":
bd = ByDayNorm()
queries = []
#get the queries for the line charts in the top ten
queries.append(('y', bd.get_sql(lat=lat, reply=reply, start=start, end=end, granularity=granularity, email=email, currid=currid)))
ld = BDLineData()
chartdata, maxval = ld.get_data(queries, conn, 1, granularity=granularity, start=start, end=end)
data = [chartdata, maxval]
else:
return HttpResponse('json call not recognized')
# return data as json
return HttpResponse(json.dumps(data), mimetype="application/json")
def getjson(request, datatype):
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
daysofweek = req.get('daysofweek', '')
reply = req.get('reply', None)
lat = bool(req.get('lat', False))
email = req.get('email', None)
granularity = req.get('granularity', None)
if start: start = parse(start)
if end: end = parse(end)
if daysofweek: daysofweek = daysofweek.split(",")
if reply is not None: reply = bool(reply)
curruser = User.objects.get(username=request.user)
#ATTENTION: going to need to change the host once we deploy live
#conn_string = "host=localhost dbname=liamg user=liamg password=liamg"
#connect to db to get the data
#conn = psycopg2.connect(conn_string)
conn = connection
#get the curruser id so that you can pass it to the functions below
curridsql = "select id from accounts where user_id = %s"
c = conn.cursor()
c.execute(curridsql, (request.user.pk, ))
currid = c.fetchone()[0]
###################
#This portion of the code will be to retrieve the graph data for the rec'd tab
###################
#get the top people who respond to the user
if datatype == 'topsenders':
req = request.REQUEST
start = req.get('start', None)
print start
end = req.get('end', None)
top = 10
email = curruser.username
data = topsenders.get_top_senders(top, start, end, email, conn)
#use this to get the mini graph next to the top ten that displays count
elif datatype == "getcount":
#called from timeline.py
bd = ByDayNorm()
queries = []
#get the queries for the line charts in the top ten
queries.append(('y',
bd.get_sql(lat=lat,
reply=reply,
start=start,
end=end,
granularity=granularity,
email=email,
currid=currid)))
ld = BDLineData()
chartdata, maxval = ld.get_data(queries,
conn,
1,
granularity=granularity,
start=start,
end=end)
data = [chartdata, maxval]
#get the rate for a specifc user (filtered) and for the general population
elif datatype == "getrate":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
emailAddy = curruser.username
replyAddy = req.get('email', 'ALL')
#if there is an empty email string, then set the replyAddy to ALL - this
#will filter for the entire database
if replyAddy == "":
replyAddy = 'ALL'
mode = req.get('mode', None)
data = responseRateByTime.get_response_rate(mode, start, end,
emailAddy, replyAddy, conn)
#use this to get the count in the first graph for the rec'd tab
elif datatype == "byhour":
#called from statsbyhour.py
ebh = RepliesByHour()
queries = []
queries.append(('y',
ebh.get_sql(lat=lat,
reply=reply,
start=start,
end=end,
daysofweek=daysofweek,
email=email,
currid=currid)))
ld = LineData()
data = ld.get_data(queries, conn)
#Update: WHAT DOES THIS DO?
# elif datatype == "contacts":
# contacts = Contacts()
# data = contacts.get_data(conn)
#Update: NOT SURE WHAT THIS DOES?
# elif datatype == "getlatency":
# bd = ByDay()
# queries = []
# queries.append(('y', bd.get_sql(lat=lat, reply=reply, start=start, end=end,
# granularity=granularity, email=email)))
# ld = BDLineData()
# chartdata, maxval = ld.get_data(queries, conn, 0, granularity=granularity, start=start, end=end)
# data = [chartdata, maxval]
########################
#This portion of the code will be for the sent tab
########################
#get the sent top ten people who the user contacts
elif datatype == "topsent":
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
top = 10
email = curruser.username
data = topsent.get_top_sent(top, start, end, email, conn)
#TODO: use this to get the mini charts for the sent tab
elif datatype == "countmini":
print 'hello' #enter code here
#Use this to get the count of emails that a person sends to others
elif datatype == "countsent":
queries = []
user = curruser.username
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
to_email = req.get('email', None)
queries.append(
('y', sent_tab.get_count_sent_sql(start, end, user, to_email,
conn)))
ld = LineData()
data = ld.get_data(queries, conn)
#TODO: use this to get the delay between when user responds to emails that others send to them
elif datatype == "delay_sent":
print 'hello' #enter code here that gets the delay
elif datatype == "rate_sent":
#WIP: working on the connection to the already made algorithm for determining rate
req = request.REQUEST
start = req.get('start', None)
end = req.get('end', None)
replyAddy = curruser.username
emailAddy = req.get('email', 'ALL')
#if there is an empty email string, then set the replyAddy to ALL - this
#will filter for the entire database
if emailAddy == "":
emailAddy = 'ALL'
mode = req.get('mode', None)
data = responseRateByTime.get_response_rate(mode, start, end,
emailAddy, replyAddy, conn)
else:
return HttpResponse('json call not recognized')
# return data as json
return HttpResponse(json.dumps(data), mimetype="application/json")