<gh_stars>10-100
#!/usr/bin/env python
# encoding: utf-8

import ast
import inspect
import nbformat as nbf
import pprint
import re
import sys


######################################################################
## custom pretty printer

def min_pretty (x, level=0):
    return "\n".join(min_pretty_sub(x, level))


def min_pretty_sub (x, level, buf=[]):
    indent = " " * level

    if level > 1:
        buf.append(indent + str(x) + ",")

    elif isinstance(x, dict):
        if len(buf) < 1:
            buf.append("{")
        else:
            buf[-1] = buf[-1] + "{"

        for k, v in x.items():
            buf.append("'%s': " % k)
            min_pretty_sub(v, level + 1, buf)

        buf.append(indent + "}")

    elif isinstance(x, list):
        if len(buf) < 1:
            buf.append("[")
        else:
            buf[-1] = buf[-1] + "["

        for v in x:
            min_pretty_sub(v, level + 1, buf)

        buf.append(indent + "],")

    else:
        buf.append(indent + str(x) + ",")

    return buf


######################################################################
## https://gist.github.com/fperez/9716279
## http://stackoverflow.com/questions/13614783/programatically-add-cells-to-an-ipython-notebook-for-report-generation
## https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/

def get_var_name (obj):
    """
    reflect the name of the given variable, from within the current frame
    """
    callers_local_vars = inspect.currentframe().f_back.f_locals.items()
    return [var_name for var_name, var_val in callers_local_vars if var_val is obj][0]


def find_cell (nb, cell_name):
    """
    find a named cell within a notebook
    """
    for cell in nb.cells:
        if ("name" in cell.metadata) and (cell.metadata["name"] == cell_name):
            return nb.cells.index(cell), cell

    return None, None


def create_code_cell (cell_name, code):
    """
    create a code cell
    """
    cell = nbf.v4.new_code_cell(code)
    cell.metadata["name"] = cell_name
    return cell


def create_data_cell (var_name, val, formatter=pprint.pformat):
    """
    create a code cell to represent a variable
    """
    data = var_name + " = " + formatter(val)
    return create_code_cell(var_name, data.strip())


def get_val (nb, var_name):
    """
    get the value for a named variable from a notebook
    """
    idx, cell = find_cell(nb, var_name)

    if cell:
        s = cell["source"].replace("\n", " ").strip()
        p = re.compile("^[\w\d\_]+\s?\=\s?(.*)$")
        m = p.match(s)

        if m:
            try:
                return ast.literal_eval(m.group(1))
                #return eval(m.group(1))
            except SyntaxError:
                print("SyntaxError", "\n", m.group(0))
                print(cell["source"])
                sys.exit(1)
            
    return None


def set_val (nb, var_name, val, formatter=pprint.pformat):
    """
    set the value for a named variable in a notebook, appending a new cell if needed
    """
    idx, cell = find_cell(nb, var_name)
    new_cell = create_data_cell(var_name, val, formatter)

    if cell:
        nb.cells[idx] = new_cell
    else:
        nb.cells.append(new_cell)


def put_df (nb, df_name, data, labels):
    """
    write a dataframe in a notebook, appending a new cell if needed
    """
    # create a code cell to represent a pandas dataframe
    buf = []
    buf.append(df_name + " = pd.DataFrame.from_records(")
    buf.append(repr(data) + ", columns=" + repr(labels) + ")")
    buf.append(df_name)

    new_cell = nbf.v4.new_code_cell("\n".join(buf).strip())
    new_cell.metadata["name"] = df_name

    # lookup reference, then insert or rewrite the new cell
    idx, cell = find_cell(nb, df_name)

    if cell:
        nb.cells[idx] = new_cell
    else:
        nb.cells.append(new_cell)


def save_nb (nb, file_name):
    """
    write a notebook to a file
    """
    with open(file_name, "w") as f:
        nbf.write(nb, f)


def open_nb (file_name):
    """
    read a notebook from a file
    """
    with open(file_name) as f:
        return nbf.reads(f.read(), nbf.NO_CONVERT)


if __name__ == "__main__":
    pass

#!/usr/bin/env python
# encoding: utf-8

import ast
import inspect
import nbformat as nbf
import pprint
import re
import sys


######################################################################
## custom pretty printer

def min_pretty (x, level=0):
    return "\n".join(min_pretty_sub(x, level))


def min_pretty_sub (x, level, buf=[]):
    indent = " " * level

    if level > 1:
        buf.append(indent + str(x) + ",")

    elif isinstance(x, dict):
        if len(buf) < 1:
            buf.append("{")
        else:
            buf[-1] = buf[-1] + "{"

        for k, v in x.items():
            buf.append("'%s': " % k)
            min_pretty_sub(v, level + 1, buf)

        buf.append(indent + "}")

    elif isinstance(x, list):
        if len(buf) < 1:
            buf.append("[")
        else:
            buf[-1] = buf[-1] + "["

        for v in x:
            min_pretty_sub(v, level + 1, buf)

        buf.append(indent + "],")

    else:
        buf.append(indent + str(x) + ",")

    return buf


######################################################################
## https://gist.github.com/fperez/9716279
## http://stackoverflow.com/questions/13614783/programatically-add-cells-to-an-ipython-notebook-for-report-generation
## https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/

def get_var_name (obj):
    """
    reflect the name of the given variable, from within the current frame
    """
    callers_local_vars = inspect.currentframe().f_back.f_locals.items()
    return [var_name for var_name, var_val in callers_local_vars if var_val is obj][0]


def find_cell (nb, cell_name):
    """
    find a named cell within a notebook
    """
    for cell in nb.cells:
        if ("name" in cell.metadata) and (cell.metadata["name"] == cell_name):
            return nb.cells.index(cell), cell

    return None, None


def create_code_cell (cell_name, code):
    """
    create a code cell
    """
    cell = nbf.v4.new_code_cell(code)
    cell.metadata["name"] = cell_name
    return cell


def create_data_cell (var_name, val, formatter=pprint.pformat):
    """
    create a code cell to represent a variable
    """
    data = var_name + " = " + formatter(val)
    return create_code_cell(var_name, data.strip())


def get_val (nb, var_name):
    """
    get the value for a named variable from a notebook
    """
    idx, cell = find_cell(nb, var_name)

    if cell:
        s = cell["source"].replace("\n", " ").strip()
        p = re.compile("^[\w\d\_]+\s?\=\s?(.*)$")
        m = p.match(s)

        if m:
            try:
                return ast.literal_eval(m.group(1))
                #return eval(m.group(1))
            except SyntaxError:
                print("SyntaxError", "\n", m.group(0))
                print(cell["source"])
                sys.exit(1)
            
    return None


def set_val (nb, var_name, val, formatter=pprint.pformat):
    """
    set the value for a named variable in a notebook, appending a new cell if needed
    """
    idx, cell = find_cell(nb, var_name)
    new_cell = create_data_cell(var_name, val, formatter)

    if cell:
        nb.cells[idx] = new_cell
    else:
        nb.cells.append(new_cell)


def put_df (nb, df_name, data, labels):
    """
    write a dataframe in a notebook, appending a new cell if needed
    """
    # create a code cell to represent a pandas dataframe
    buf = []
    buf.append(df_name + " = pd.DataFrame.from_records(")
    buf.append(repr(data) + ", columns=" + repr(labels) + ")")
    buf.append(df_name)

    new_cell = nbf.v4.new_code_cell("\n".join(buf).strip())
    new_cell.metadata["name"] = df_name

    # lookup reference, then insert or rewrite the new cell
    idx, cell = find_cell(nb, df_name)

    if cell:
        nb.cells[idx] = new_cell
    else:
        nb.cells.append(new_cell)


def save_nb (nb, file_name):
    """
    write a notebook to a file
    """
    with open(file_name, "w") as f:
        nbf.write(nb, f)


def open_nb (file_name):
    """
    read a notebook from a file
    """
    with open(file_name) as f:
        return nbf.reads(f.read(), nbf.NO_CONVERT)


if __name__ == "__main__":
    pass
#!/usr/bin/env python # encoding: utf-8 ###################################################################### ## custom pretty printer ###################################################################### ## https://gist.github.com/fperez/9716279 ## http://stackoverflow.com/questions/13614783/programatically-add-cells-to-an-ipython-notebook-for-report-generation ## https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/ reflect the name of the given variable, from within the current frame find a named cell within a notebook create a code cell create a code cell to represent a variable get the value for a named variable from a notebook #return eval(m.group(1)) set the value for a named variable in a notebook, appending a new cell if needed write a dataframe in a notebook, appending a new cell if needed # create a code cell to represent a pandas dataframe # lookup reference, then insert or rewrite the new cell write a notebook to a file read a notebook from a file