Types of data in BDD and how to handle it (python)

There are two types of data in BDD, table and text, the following is a description of the data, and finally two small examples of me.

1, Class behave.model.Table (headings, line=none, rows=none)

A table extracted from a feature file.

Table instance data is accessible using a number of methods:

Iteration

Iterating over the Table would yield the Row instances from the. Rows attribute.

Indexed access

Individual rows accessed directly by index on the Table instance; Table[0] gives the first non-heading row and Table[-1] gives the last row.

The attributes are:

Headings

The headings of the table as a list of strings.

Rows

An list of instances of Row, the body of the table in the feature file.

Tables is also comparable, for what's that ' s worth. Headings and row data is compared.

2. Class Behave.model.Row (headings, cells, line=none, comments=none)

One row of a table parsed from a feature file.

Row data is accessible using a number of methods:

Iteration

Iterating over the Row would yield the individual cells as strings.

Named access

Individual cells accessed by heading name; row[' name '] would give the cell value for the column with heading "name".

Indexed access

Individual cells accessed directly by index on the Row instance; Row[0] gives the first cell and Row[-1] gives the last cell.

The attributes are:

Cells

The list of strings that form the cells of this row.

Headings

The headings of the table as a list of strings.

Rows is also comparable, for what is that ' s worth. Only the cells is compared.

And Text May is associated with Steps:

3. Class Behave.model.Text

Store multiline text from a Step definition.

The attributes are:

Value

The actual text parsed from the feature file.

Content_Type

Currently only ' Text/plain '.

Example:

1. Table

Json_data = []

For row in context.table:

Adict = {}

If Hasattr (row, ' name '):

adict[' name '] = row[' name ']

Json_data.append (adict)

2. Text

Expected_datas = Json.loads (Context.text)

Types of data in BDD and how to handle it (python)