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توضیحات

TextBase library to manipulate DBText style data files

ویژگی	مقدار
سیستم عامل	OS Independent
نام فایل	TextBase-0.9
نام	TextBase
نسخه کتابخانه	0.9
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Etienne Posthumus
ایمیل نویسنده	posthumus@brill.com
آدرس صفحه اصلی	https://gitlab.com/brillpublishers/code/textbase
آدرس اینترنتی	https://pypi.org/project/TextBase/
مجوز	MIT

textbase ======== A Python library to manipulate Inmagic/DBText style data files Moving this project from https://github.com/epoz/textbase to the Brill Gitlab space. What are textbase files? ------------------------ A simple format separating data records with a single character delimiter, (all files we use have a $ character on a line. For each record the fieldname is the first word on the line, usually in upper case. Any text following the fieldname is that value for the field. Repeating values in a list for the fieldname can be specified on consecutive lines using a semicolon. If the text value for a field is very long and needs to wrap, start the line with one (or more) spaces. Why did you re-invent the wheel? -------------------------------- We already have CSV files, or JSON files, or YAML, why did you make this? Well, I didn't invent this. It is actually a format used by a suite of software from InMagic: http://www.inmagic.com/products/dbtext-library-suite/ We used the dbText software to create a boatload of data files since the early eighties, which is a LONG time ago in Internet-land. Those exact same data files are still used to drive a lot of software, and has proven to be remarkably useful over the years. Think of it as Markdown vs HTML, or as a simpler dataformat with über-simple Key:Value records that are human readable. Example File: ------------- :: FOO A Foo field BAR A Baz field with mulitple entries ; Another ; and yet even more $ FOO This is the FOO field for the next record BAR Nothing The main utitlity class is TextBase. It can be initialised with an open file, or a string buffer, named sourcefile. Sourcefile is iterated over, splitting the contents into chunks. Each chunk is parsed and added to an internal buffer list. The internal buffer contains a dict for each record. Each entry in the dict is keyed on the DBText record fieldname, the entry itself is a list of the values. The TextBase object can be used as a generator to iterate over the contents, or the Textbase object can be index-addressed like a list. Example Usage: -------------- :: import textbase t = textbase.TextBase(somebuf) print len(t) for x in t[10:20]: print x.keys() print t[0] If you do not want the records parsed into Python dictionaries and just want to muck about with the records as text blobs, initialise like this: :: t = textbase.TextBase(somebuf, parse=False) Running with Docker =================== You can automatically convert all .xlsx files from a directory to .dmp files by running the following command: ``docker run --rm -ti -v $(pwd):/data registry.gitlab.com/brillpublishers/code/textbase:latest`` This will check the current directory (and all directories below it) for .xlsx files and convert them to a .dmp file with the same filename. If a .dmp file fith that name already exists it is skipped. The Excel file should conform to the following conventions: - The first row contains the fieldnames. Fieldsnames are converted to uppercase in the textbase objects - There MUST be a column named ID in the first row. All textbase records must have an ID. If a data row is encountered without an ID, it is skipped. - If there is no column called TYPE, the filename of the Excel file is automatically added as a type for those objects.

نحوه نصب

نصب پکیج whl TextBase-0.9:

pip install TextBase-0.9.whl

نصب پکیج tar.gz TextBase-0.9:

pip install TextBase-0.9.tar.gz