You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
163 lines
4.8 KiB
Python
163 lines
4.8 KiB
Python
8 years ago
|
"""
|
||
|
|
This program is designed to inspect an application environment
|
||
|
|
This program should only be run on unix friendly systems
|
||
|
|
|
||
|
|
"""
|
||
|
|
from __future__ import division
|
||
|
|
import os
|
||
|
|
import subprocess
|
||
|
|
from sets import Set
|
||
|
|
import re
|
||
|
|
|
||
|
|
class Analysis:
|
||
|
|
def __init__(self):
|
||
|
|
self.logs = []
|
||
|
|
pass
|
||
|
|
def post(self,object):
|
||
|
|
self.logs.append(object)
|
||
|
|
"""
|
||
|
|
This class is designed to analyze environment variables. Environment variables can either be folders, files or simple values
|
||
|
|
The class returns a quantifiable assessment of the environment variables (expected 100%)
|
||
|
|
"""
|
||
|
|
class Env(Analysis):
|
||
|
|
def __init__(self,values):
|
||
|
|
Analysis.__init__(self)
|
||
|
|
self.values = values
|
||
|
|
"""
|
||
|
|
This function evaluate the validity of an environment variable by returning a 1 or 0 (computable)
|
||
|
|
The function will use propositional logic (https://en.wikipedia.org/wiki/Propositional_calculus)
|
||
|
|
"""
|
||
|
|
def evaluate(self,id):
|
||
|
|
|
||
|
|
if id in os.environ :
|
||
|
|
#
|
||
|
|
# We can inspect to make sure the environment variable is not a path or filename.
|
||
|
|
# Using propositional logic we proceed as follows:
|
||
|
|
# - (p) We determine if the value is an folder or file name (using regex)
|
||
|
|
# - (q) In case of a file or folder we check for existance
|
||
|
|
# The final result is a conjuction of p and q
|
||
|
|
#
|
||
|
|
value = os.environ[id]
|
||
|
|
expressions = [os.sep,'(\\.\w+)$']
|
||
|
|
p = sum([ re.search(xchar,value) is not None for xchar in expressions])
|
||
|
|
q = os.path.exists(value)
|
||
|
|
|
||
|
|
return int(p and q)
|
||
|
|
else:
|
||
|
|
return 0
|
||
|
|
|
||
|
|
def composite (self):
|
||
|
|
r = [ self.evaluate(id) for id in self.values] ;
|
||
|
|
N = len(r)
|
||
|
|
n = sum(r)
|
||
|
|
return n/N
|
||
|
|
|
||
|
|
class Sandbox(Analysis):
|
||
|
|
def __init__(self,conf):
|
||
|
|
Analysis.__init__(self)
|
||
|
|
self.sandbox_path = conf['path']
|
||
|
|
self.requirements_path = conf['requirements']
|
||
|
|
def get_requirements (self):
|
||
|
|
f = open(self.requirements_path)
|
||
|
|
return [ name.replace('-',' ').replace('_',' ') for name in f.read().split('\n') if name != '']
|
||
|
|
"""
|
||
|
|
This function will return the modules installed in the sandbox (virtual environment)
|
||
|
|
"""
|
||
|
|
def get_sandbox_requirements(self):
|
||
|
|
cmd = ['freeze']
|
||
|
|
xchar = ''.join([os.sep]*2)
|
||
|
|
pip_vm = ''.join([self.sandbox_path,os.sep,'bin',os.sep,'pip']).replace(xchar,os.sep)
|
||
|
|
cmd = [pip_vm]+cmd
|
||
|
|
r = subprocess.check_output(cmd).split('\n')
|
||
|
|
return [row.replace('-',' ').replace('_',' ') for row in r if row.strip() != '']
|
||
|
|
def evaluate(self):
|
||
|
|
pass
|
||
|
|
"""
|
||
|
|
This function returns the ratio of existing modules relative to the ones expected
|
||
|
|
"""
|
||
|
|
def composite(self):
|
||
|
|
required_modules= self.get_requirements()
|
||
|
|
sandbox_modules = self.get_sandbox_requirements()
|
||
|
|
N = len(requirements)
|
||
|
|
n = len(Set(required_modules) - Set(sandbox_modules))
|
||
|
|
return n/N
|
||
|
|
|
||
|
|
"""
|
||
|
|
This class performs the analysis of a list of processes and determines
|
||
|
|
The class provides a quantifiable measure of how many processes it found over all
|
||
|
|
"""
|
||
|
8 years ago
|
class DatabaseServer(Analysis):
|
||
|
|
def __init__(self,conf):
|
||
|
|
Analysis.__init__(self)
|
||
|
|
pass
|
||
|
|
def has_table(self,name):
|
||
|
|
pass
|
||
|
|
def has_fields(self,table,fields):
|
||
|
|
pass
|
||
|
|
def has_data(self,table):
|
||
|
|
pass
|
||
|
|
"""
|
||
|
|
This function will return the number of test-cases of the last build.
|
||
|
|
The use of the returned number will have to be normalized if used in a dataset.
|
||
|
|
"""
|
||
|
|
#class TestCaseCount(Analysis):
|
||
|
|
#pass
|