pjs/webtools/new-graph/collect.cgi

176 строки
6.6 KiB
Python
Executable File

#!/usr/bin/env python
import cgitb; cgitb.enable()
import sys
import cgi
import time
import re
from graphsdb import db
#if var is a valid number returns a value other than None
def checkNumber(var):
if var is None:
return 1
reNumber = re.compile('^[0-9.]*$')
return reNumber.match(var)
#if var is a valid string returns a value other than None
def checkString(var):
if var is None:
return 1
reString = re.compile('^[0-9A-Za-z._()\- ]*$')
return reString.match(var)
print "Content-type: text/plain\n\n"
link_format = "RETURN:%.2f:%sspst=range&spstart=%d&spend=%d&bpst=cursor&bpstart=%d&bpend=%d&m1tid=%d&m1bl=0&m1avg=0\n"
link_str = ""
form = cgi.FieldStorage()
# incoming query string has the following parameters:
# type=discrete|continuous
# indicates discrete vs. continuous dataset, defaults to continuous
# value=n
# (REQUIRED) value to be recorded as the actual test value
# tbox=foopy
# (REQUIRED) name of the tinderbox reporting the value (or rather, the name that is to be given this set of data)
# testname=test
# (REQUIRED) the name of this test
# data=rawdata
# raw data for this test
# time=seconds
# time since the epoch in GMT of this test result; if ommitted, current time at time of script run is used
# date
# date that the test was run - this is for discrete graphs
# branch=1.8.1,1.8.0 or 1.9.0
# name of the branch that the build was generated for
# branchid=id
# date of the build
# http://wiki.mozilla.org/MozillaQualityAssurance:Build_Ids
#make sure that we are getting clean data from the user
for strField in ["type", "data", "tbox", "testname", "branch", "branchid"]:
val = form.getfirst(strField)
if not checkString(val):
print "Invalid string arg: ", strField, " '" + val + "'"
sys.exit(500)
globals()[strField] = val
for numField in ["date", "time", "value"]:
val = form.getfirst(numField)
if numField == "time":
numField = "timeval"
if not checkNumber(val):
print "Invalid num arg: ", numField, " '" + val + "'"
sys.exit(500)
globals()[numField] = val
#do some checks to ensure that we are enforcing the requirement rules of the script
if (not type):
type = "continuous"
if (not timeval):
timeval = int(time.time())
if (type == "discrete") and (not date):
print "Bad args, need a valid date"
sys.exit(500)
if (not value) or (not tbox) or (not testname):
print "Bad args"
sys.exit(500)
# Create the DB schema if it doesn't already exist
# XXX can pull out dataset_info.machine and dataset_info.{test,test_type} into two separate tables,
# if we need to.
# figure out our dataset id
setid = -1
while setid == -1:
cur = db.cursor()
cur.execute("SELECT id FROM dataset_info WHERE type <=> ? AND machine <=> ? AND test <=> ? AND test_type <=> ? AND extra_data=? AND branch <=> ? AND date <=> ?",
(type, tbox, testname, "perf", "branch="+branch, branch, date))
res = cur.fetchall()
cur.close()
if len(res) == 0:
db.execute("INSERT INTO dataset_info (type, machine, test, test_type, extra_data, branch, date) VALUES (?,?,?,?,?,?,?)",
(type, tbox, testname, "perf", "branch="+branch, branch, date))
else:
setid = res[0][0]
db.execute("INSERT INTO dataset_values (dataset_id, time, value) VALUES (?,?,?)", (setid, timeval, value))
db.execute("INSERT INTO dataset_branchinfo (dataset_id, time, branchid) VALUES (?,?,?)", (setid, timeval, branchid))
if data and data != "":
db.execute("INSERT INTO dataset_extra_data (dataset_id, time, data) VALUES (?,?,?)", (setid, timeval, data))
cur = db.cursor()
cur.execute("SELECT MIN(time), MAX(time) FROM dataset_values WHERE dataset_id = ?", (setid,))
res = cur.fetchall()
cur.close()
tstart = res[0][0]
tend = res[0][1]
if type == "discrete":
link_str += (link_format % (float(-1), "dgraph.html#name=" + testname + "&", tstart, tend, tstart, tend, setid,))
else:
tstart = 0
link_str += (link_format % (float(-1), "graph.html#",tstart, tend, tstart, tend, setid,))
#this code auto-adds a set of continuous data for each series of discrete data sets - creating an overview of the data
# generated by a given test (matched by machine, test, test_type, extra_data and branch)
# it is not terribly efficient as it updates the tracking number on the continuous set each time a point is added
# to the discrete set. If the efficiency becomes a concern we can re-examine the code - for now it is a good
# solution for generating the secondary, tracking data.
if type == "discrete" :
timeval = date
date = ''
cur = db.cursor()
#throw out the largest value and take the average of the rest
cur.execute("SELECT AVG(value) FROM dataset_values WHERE dataset_id = ? and value != (SELECT MAX(value) from dataset_values where dataset_id = ?)", (setid, setid,))
res = cur.fetchall()
cur.close()
avg = res[0][0]
if avg is not None:
setid = -1
while setid == -1 :
cur = db.cursor()
cur.execute("SELECT id from dataset_info where type <=> ? AND machine <=> ? AND test <=> ? AND test_type <=> ? AND extra_data <=> ? AND branch <=> ? AND date <=> ?",
("continuous", tbox, testname+"_avg", "perf", "branch="+branch, branch, date))
res = cur.fetchall()
cur.close()
if len(res) == 0:
db.execute("INSERT INTO dataset_info (type, machine, test, test_type, extra_data, branch, date) VALUES (?,?,?,?,?,?,?)",
("continuous", tbox, testname+"_avg", "perf", "branch="+branch, branch, date))
else:
setid = res[0][0]
cur = db.cursor()
cur.execute("SELECT * FROM dataset_values WHERE dataset_id=? AND time <=> ?", (setid, timeval))
res = cur.fetchall()
cur.close()
if len(res) == 0:
db.execute("INSERT INTO dataset_values (dataset_id, time, value) VALUES (?,?,?)", (setid, timeval, avg))
db.execute("INSERT INTO dataset_branchinfo (dataset_id, time, branchid) VALUES (?,?,?)", (setid, timeval, branchid))
else:
db.execute("UPDATE dataset_values SET value=? WHERE dataset_id=? AND time <=> ?", (avg, setid, timeval))
db.execute("UPDATE dataset_branchinfo SET branchid=? WHERE dataset_id=? AND time <=> ?", (branchid, setid, timeval))
cur = db.cursor()
cur.execute("SELECT MIN(time), MAX(time) FROM dataset_values WHERE dataset_id = ?", (setid,))
res = cur.fetchall()
cur.close()
tstart = 0
tend = res[0][1]
link_str += (link_format % (float(avg), "graph.html#", tstart, tend, tstart, tend, setid,))
db.commit()
print "Inserted."
print link_str
sys.exit()