def __init__(self, container, scan_type):
"""
Initialize object variables specific to per container scanning
"""
self.scanner = "scanner-analytics-integration"
self.container = container
# scan_type = [register, scan, get_report]
self.scan_type = scan_type
self.run_object = atomic_run.Run()
# following are the labels must be present in image
self.needed_labels_names = ["git-url", "git-sha", "email-ids"]
# following three variables need to be processed later
self.label_data = None
self.image_name = None
self.server_url = None
# This will contain the result/error data
self.respone = None
self.errors = []
self.failure = True
# the labels needed for calling server APIs
self.recorded_labels = {}
# the needed data to be logged in scanner output
self.data = {}
# the templated data this scanner will export
print container[1:]
self.json_out = self.template_json_data(self.scanner, self.scan_type,
container[1:])
def run_scanner(image):
run_object = run.Run()
run_object.image = image
return DockerBackend.check_args(run_object.get_label("RUN"))
# import docker
import json
import logging
import os
import subprocess
import sys
from Atomic import run
from datetime import datetime
INDIR = "/scanin"
OUTDIR = "/scanout"
IMAGE_NAME = os.environ.get("IMAGE_NAME")
# object of atomic run
run_object = run.Run()
run_object.image = IMAGE_NAME
# client = docker.Client(base_url="unix:///var/run/docker.sock")
# set up logging
logger = logging.getLogger("container-capabilities-scanner")
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter(
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
ch.setFormatter(formatter)
logger.addHandler(ch)