First notebook

Links: notebook, html, PDF, python, slides, slides(2), GitHub

Short examples on some pieces of the modules.

from jyquickhelper import add_notebook_menu
add_notebook_menu()

CodeNodeVisitor

import ast
import inspect
from pysqllike.translation.node_visitor_translator import CodeNodeVisitor

def myjob(input):
    iter = input.select (input.age, input.nom, age2 = input.age2*input.age2)
    wher = iter.where( (iter.age > 60).Or(iter.age < 25))
    return wher

code = inspect.getsource(myjob)
node = ast.parse(code)
v = CodeNodeVisitor()
v.visit(node)
for r in v.Rows :
    print("{0}{1}: {2}".format("    " * r["indent"], r["type"], r["str"]))
Module:
    FunctionDef: myjob
        arguments:
            arg: input
        Assign:
            Name: iter
            Call: select
                Attribute: input.select
                Attribute: input.age
                Attribute: input.nom
                keyword: age2
                    BinOp:
                        Attribute: input.age2
                        Mult:
                        Attribute: input.age2
        Assign:
            Name: wher
            Call: where
                Attribute: iter.where
                Call: Or
                    Attribute: Or
                        Compare:
                            Attribute: iter.age
                            Gt:
                            Num: 60
                    Compare:
                        Attribute: iter.age
                        Lt:
                        Num: 25
        Return:
            Name: wher

Translate into Python

from pysqllike.translation.translation_to_python import Translate2Python
trans = Translate2Python(myjob)
code = trans.Code()
print(code)
def myjob(input):
    iter = [ ]
    for row in input:
        _age=row['age']
        _nom=row['nom']
        _age2=row['age2']
        newr = {
          'age':_age,
          'nom':_nom,
          'age2':_age2*_age2,
          }
        iter.append(newr)
    wher = [ ]
    for row in iter:
        _age=row['age']
        _exp=(_age>60) or (_age<25)
        if _exp: wher.append(row)
    return wher