PyFoam.Basics.RunDatabase module¶
Collects data about runs in a small SQLite database
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class
PyFoam.Basics.RunDatabase.RunDatabase(name, create=False, verbose=False)[source]¶ Bases:
objectDatabase with information about runs. To be queried etc
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_RunDatabase__adaptDatabase(data)¶ Make sure that all the required columns and tables are there
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_RunDatabase__addColumnsToTable(table, data)¶
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_RunDatabase__addContent(table, data)¶
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_RunDatabase__denormalize(s)¶ Denormalize the column name that was normalized by _normalize
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_RunDatabase__flattenDict(oData, prefix='')¶
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_RunDatabase__getColumns(tablename)¶
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_RunDatabase__normalize(s)¶ Normalize a column-name so that the case-insensitve column-names of SQlite are no problem
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__dict__= mappingproxy({'__init__': <function RunDatabase.__init__>, '_RunDatabase__flattenDict': <function RunDatabase.__flattenDict>, 'specialString': '_specialChar', '__module__': 'PyFoam.Basics.RunDatabase', '_RunDatabase__denormalize': <function RunDatabase.__denormalize>, '_RunDatabase__getColumns': <function RunDatabase.__getColumns>, 'initDatabase': <function RunDatabase.initDatabase>, 'separator': '//', '__weakref__': <attribute '__weakref__' of 'RunDatabase' objects>, '_RunDatabase__normalize': <function RunDatabase.__normalize>, '__doc__': '\n Database with information about runs. To be queried etc\n ', '_RunDatabase__addContent': <function RunDatabase.__addContent>, 'specialChars': {']': 'brc', '[': 'bro', '}': 'crc', '{': 'cro', '|': 'pip', ')': 'prc', '(': 'pro'}, '_RunDatabase__adaptDatabase': <function RunDatabase.__adaptDatabase>, 'add': <function RunDatabase.add>, '__dict__': <attribute '__dict__' of 'RunDatabase' objects>, 'dumpToCSV': <function RunDatabase.dumpToCSV>, '_RunDatabase__addColumnsToTable': <function RunDatabase.__addColumnsToTable>})¶
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__init__(name, create=False, verbose=False)[source]¶ Parameters: - name – name of the file
- create – should the database be created if it does not exist
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__module__= 'PyFoam.Basics.RunDatabase'¶
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__weakref__¶ list of weak references to the object (if defined)
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dumpToCSV(fname, selection=None, disableRunData=None, pandasFormat=True, excel=False)[source]¶ Dump the contents of the database to a csv-file :param name: the CSV-file :param selection: list of regular expressions. Only data entries fitting those will be added to the CSV-file (except for the basic run). If unset all data will be written
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separator= '//'¶
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specialChars= {']': 'brc', '[': 'bro', '}': 'crc', '{': 'cro', '|': 'pip', ')': 'prc', '(': 'pro'}¶
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specialString= '_specialChar'¶
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