Revision bfb0d001
Von Sven Schöling vor mehr als 13 Jahren hinzugefügt
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my $status = $csv->parse; |
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my $hrefs = $csv->get_data; |
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my @objects = $scv->get_objects; |
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my @objects = $csv->get_objects; |
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my @errors = $csv->errors; |
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=head1 DESCRIPTION |
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most cases you will want those line to be parsed into hashes or even objects, |
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so this model just skips ahead and gives you objects. |
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Encoding autodetection is not easy, and should not be trusted. Try to avoid it |
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if possible. |
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Its basic assumptions are: |
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=over 4 |
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=item You do know what you expect to be in that csv file. |
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This means first and foremost you have knowledge about encoding, number and |
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date format, csv parameters such as quoting and separation characters. You also |
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know what content will be in that csv and what L<Rose::DB> is responsible for |
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it. You provide valid header columns and their mapping to the objects. |
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=item You do NOT know if the csv provider yields to your expectations. |
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Stuff that does not work with what you expect should not crash anything, but |
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give you a hint what went wrong. As a result, if you remeber to check for |
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errors after each step, you should be fine. |
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=item Data does not make sense. It's just data. |
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Almost all data imports have some type of constraints. Some data needs to be |
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unique, other data needs to be connected to existing data sets. This will not |
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happen here. You will receive a plain mapping of the data into the class tree, |
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nothing more. |
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=back |
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=head1 METHODS |
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=item C<errors> |
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Return all errors that came up druing parsing. See error handling for detailed
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Return all errors that came up during parsing. See error handling for detailed
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information. |
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=back |
Auch abrufbar als: Unified diff
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