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TY - CONF AU - Kolad, B. AU - Gras, J-J. AU - Jackson, S. AU - Pedersen, S.B. ED - Schaa, Volker RW TI - The CERN Beam Instrumentation Group Offline Analysis Framework J2 - Proc. of IBIC2016, Barcelona, Spain, Sept. 13-18, 2016 C1 - Barcelona, Spain T2 - International Beam Instrumentation Conference T3 - 5 LA - english AB - Beam instrumentation systems at CERN require periodic verifications of both their state and condition. Presently, experts have no generic solution to observe and analyse an instrument's condition and as a result, many ad-hoc Python scripts have been developed to extract historical data from CERN's logging service. Clearly, ad-hoc developments are not desirable for medium/long term maintenance reasons and therefore a generic solution has been developed. In this paper we present the Offline Analysis Framework (OAF), used for automatic report generation based on data from the central logging service. OAF is a Java / Python based tool which allows generic analysis of any instrument's data extracted from the database. In addition to the generic analysis, advanced analysis can also be performed by providing custom Python code. This paper will explain the steps of the analysis, its scope and present the kind of reports that are generated and how instrumentation experts can benefit from it. We will also show how this approach simplifies debugging, allows code re-use and optimises database and CPU resource usage. PB - JACoW CP - Geneva, Switzerland SP - 450 EP - 453 KW - framework KW - instrumentation KW - database KW - extraction KW - software DA - 2017/02 PY - 2017 SN - 978-3-95450-177-9 DO - 10.18429/JACoW-IBIC2016-TUPG45 UR - http://jacow.org/ibic2016/papers/tupg45.pdf ER -