Currently, the CPE XML database is parsed into a Python dict, which is
then pickled into a local file, to speed up the processing of further
invocations.
However, it turns out that since the initial implementation, we have
switched the XML parsing from the out of tree xmltodict module to the
standard ElementTree one, which has made the parsing much faster. The
pickle caching only saves 6 seconds, on something that takes more than
13 minutes total.
In addition, this pickle caching consumes a significant amount of RAM,
causing the Python process to be OOM-killed on a server with 4 GB of
RAM.
So let's just drop this caching entirely.
Signed-off-by: Thomas Petazzoni <thomas.petazzoni@bootlin.com>
Signed-off-by: Yann E. MORIN <yann.morin.1998@free.fr>
Python class which consumes a NIST CPE XML and provides helper
functions to access and search the db's data.
- Defines the CPE as a object with operations / formats
- Processing of CPE dictionary
Signed-off-by: Matthew Weber <matthew.weber@rockwellcollins.com>
Co-Developed-by: Grégory Clement <gregory.clement@bootlin.com>
Co-Developed-by: Thomas Petazzoni <thomas.petazzoni@bootlin.com>
Signed-off-by: Thomas Petazzoni <thomas.petazzoni@bootlin.com>
Signed-off-by: Arnout Vandecappelle (Essensium/Mind) <arnout@mind.be>
