Usage: convert-incidentspy [options] infile outfile in Java

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Usage: convert-incidentspy [options] infile outfile
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The data we used is based on real aircraft incident data available from the FAA (US government s Federal Aviation Administration, wwwfaagov)
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Reads aircraft incident data from infile and writes the data to outfile The data formats used depend on the file extensions: aix is XML, ait is text (UTF-8 encoding), aib is binary, aip is pickle, and html is HTML (only allowed for the outfile) All formats are platform-independent Options: -h, --help show this help message and exit -f, --force write the outfile even if it exists [default: off] -v, --verbose report results [default: off] -r READER, --reader=READER reader (XML): 'dom', 'd', 'etree', 'e', 'sax', 's' reader (text): 'manual', 'm', 'regex', 'r' [default: etree for XML, manual for text] -w WRITER, --writer=WRITER writer (XML): 'dom', 'd', 'etree', 'e', 'manual', 'm' [default: manual] -z, --compress compress aib/aip outfile [default: off] -t, --test execute doctests and exit (use with -v for verbose)
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The options are more complex than would normally be required since an end-user will not care which reader or writer we use for any particular format In a more realistic version of the program the reader and writer options would not exist and we would implement just one reader and one writer for each format Similarly, the test option exists to help us test the code and would not be present in a production version The program de nes one custom exception:
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class IncidentError(Exception): pass
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Aircraft incidents are held as Incident objects Here is the class line and the initializer:
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class Incident: def __init__(self, report_id, date, airport, aircraft_id, aircraft_type, pilot_percent_hours_on_type, pilot_total_hours, midair, narrative=""): assert len(report_id) >= 8 and len(report_idsplit()) == 1, \ "invalid report ID" self__report_id = report_id selfdate = date selfairport = airport selfaircraft_id = aircraft_id selfaircraft_type = aircraft_type selfpilot_percent_hours_on_type = pilot_percent_hours_on_type
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selfpilot_total_hours = pilot_total_hours selfmidair = midair selfnarrative = narrative
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The report ID is validated when the Incident is created and is available as the read-only report_id property All the other data attributes are read/write properties For example, here is the date property s code:
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@property def date(self): return self__date @datesetter def date(self, date): assert isinstance(date, datetimedate), "invalid date" self__date = date
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All the other properties follow the same pattern, differing only in the details of their assertions, so we won t reproduce them here Since we have used assertions, the program will fail if an attempt is made to create an Incident with invalid data, or to set one of an existing incident s read/write properties to an invalid value We have chosen this uncompromising approach because we want to be sure that the data we save and load is always valid, and if it isn t we want the program to terminate and complain rather than silently continue The collection of incidents is held as an IncidentCollection This class is a dict subclass, so we get a lot of functionality, such as support for the item access operator ([]) to get, set, and delete incidents, by inheritance Here is the class line and a few of the class s methods:
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class IncidentCollection(dict): def values(self): for report_id in selfkeys(): yield self[report_id] def items(self): for report_id in selfkeys(): yield (report_id, self[report_id]) def __iter__(self): for report_id in sorted(super()keys()): yield report_id keys = __iter__
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We have not needed to reimplement the initializer since dict__init__() is suf cient The keys are report IDs and the values are Incidents We have reimplemented the values(), items(), and keys() methods so that their iterators
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work in report ID order This works because the values() and items() methods iterate over the keys returned by IncidentCollectionkeys() and this method (which is just another name for IncidentCollection__iter__()), iterates in sorted order over the keys provided by the base class dictkeys() method In addition, the IncidentCollection class has export() and import_() methods (We use the trailing underscore to distinguish the method from the built-in import statement) The export() method is passed a lename, and optionally a writer and a compress ag, and based on the lename and writer, it hands off the work to a more speci c method such as export_xml_dom() or export_xml_etree() The import_() method takes a lename and an optional reader and works similarly The import methods that read binary formats are not told whether the le is compressed they are expected to work this out for themselves and behave appropriately
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