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structures.py
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structures.py
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# -*- coding: utf-8 -*-
"""dependenpy structures module."""
import json
from colorama import Back, Fore, Style
from .helpers import PrintMixin
class Matrix(PrintMixin):
"""
Matrix class.
A class to build a matrix given a list of nodes. After instantiation,
it has two attributes: data, a 2-dimensions array, and keys, the names
of the entities in the corresponding order.
"""
def __init__(self, *nodes, depth=0):
"""
Initialization method.
Args:
*nodes (list of DSM/Package/Module):
the nodes on which to build the matrix.
depth (int): the depth of the matrix. This depth is always
absolute, meaning that building a matrix with a sub-package
"A.B.C" and a depth of 1 will return a matrix of size 1,
containing A only. To see the matrix for the sub-modules and
sub-packages in C, you will have to give depth=4.
"""
modules = []
for node in nodes:
if node.ismodule:
modules.append(node)
elif node.ispackage or node.isdsm:
modules.extend(node.submodules)
if depth < 1:
keys = modules
else:
keys = []
for m in modules:
if m.depth <= depth:
keys.append(m)
continue
package = m.package
while package.depth > depth and package.package and package not in nodes:
package = package.package
if package not in keys:
keys.append(package)
size = len(keys)
data = [[0 for _ in range(size)] for __ in range(size)]
keys = sorted(keys, key=lambda k: k.absolute_name())
if depth < 1:
for i, k in enumerate(keys):
k.index = i
for i, k in enumerate(keys):
for d in k.dependencies:
if d.external:
continue
if d.target.ismodule and d.target in keys:
data[i][d.target.index] += 1
elif d.target.ispackage:
m = d.target.get("__init__")
if m is not None and m in keys:
data[i][m.index] += 1
else:
for i, k in enumerate(keys):
for j, l in enumerate(keys):
data[i][j] = k.cardinal(to=l)
self.size = size
self.keys = [k.absolute_name() for k in keys]
self.data = data
@staticmethod
def cast(keys, data):
"""Cast a set of keys and an array to a Matrix object."""
matrix = Matrix()
matrix.keys = keys
matrix.data = data
return matrix
@property
def total(self):
"""Return the total number of dependencies within this matrix."""
return sum(j for i in self.data for j in i)
def _to_csv(self, **kwargs):
text = ["module,", ",".join(self.keys), "\n"]
for i, k in enumerate(self.keys):
text.append("%s,%s\n" % (k, ",".join(map(str, self.data[i]))))
return "".join(text)
def _to_json(self, **kwargs):
return json.dumps({"keys": self.keys, "data": self.data}, **kwargs)
def _to_text(self, **kwargs):
if not self.keys or not self.data:
return ""
zero = kwargs.pop("zero", "0")
max_key_length = max(len(k) for k in self.keys)
max_dep_length = max([len(str(c)) for l in self.data for c in l] + [len(zero)])
key_col_length = len(str(len(self.keys)))
key_line_length = max(key_col_length, 2)
column_length = max(key_col_length, max_dep_length)
bold = Style.BRIGHT
reset = Style.RESET_ALL
# first line left headers
text = [f"\n {bold}{'Module':>{max_key_length}}{reset} │ {bold}{'Id':>{key_line_length}}{reset} │"]
# first line column headers
for i, _ in enumerate(self.keys):
text.append(f"{bold}{i:^{column_length}}{reset}│")
text.append("\n")
# line of dashes
text.append(f" {'─' * max_key_length}─┼─{'─' * key_line_length}─┼")
for _ in range(len(self.keys) - 1):
text.append(f"{'─' * column_length}┼")
text.append(f"{'─' * column_length}┤")
text.append("\n")
# lines
for i, k in enumerate(self.keys):
text.append(f" {k:>{max_key_length}} │ {bold}{i:>{key_line_length}}{reset} │")
for v in self.data[i]:
text.append(("{:>%s}│" % column_length).format(v if v else zero))
text.append("\n")
text.append("\n")
return "".join(text)
class TreeMap(PrintMixin):
"""TreeMap class."""
def __init__(self, *nodes, value=-1, data=None, keys=None):
"""
Initialization method.
Arguments:
*nodes (list of Node): the nodes from which to build the treemap.
"""
# if nodes:
# matrix_lower_level = Matrix(*nodes, depth=2)
# matrix_current_level = Matrix(*nodes, depth=1)
# if value == -1:
# value = sum(c for row in matrix_current_level.data for c in row)
# splits = [0]
# key_comp = matrix_lower_level.keys[0].split('.')[0]
# i = 1
# for key in matrix_lower_level.keys[1:]:
# key = key.split('.')[0]
# if key != key_comp:
# splits.append(i)
# key_comp = key
# i += 1
# splits.append(i)
#
# self.data = []
# for i in range(len(splits) - 1):
# self.data.append([])
# rows = matrix_lower_level.data[splits[i]:splits[i+1]]
# for j in range(len(splits) - 1):
# self.data[i].append([row[splits[j]:splits[j+1]] for row in rows])
self.value = value
def _to_csv(self, **kwargs):
return ""
def _to_json(self, **kwargs):
return ""
def _to_text(self, **kwargs):
return ""
class Vertex(object):
"""Vertex class. Used in Graph class."""
def __init__(self, name):
"""
Initialization method.
Args:
name (str): name of the vertex.
"""
self.name = name
self.edges_in = set()
self.edges_out = set()
def __str__(self):
return self.name
def connect_to(self, vertex, weight=1):
"""
Connect this vertex to another one.
Args:
vertex (Vertex): vertex to connect to.
weight (int): weight of the edge.
Returns:
Edge: the newly created edge.
"""
for edge in self.edges_out:
if vertex == edge.vertex_in:
return edge
return Edge(self, vertex, weight)
def connect_from(self, vertex, weight=1):
"""
Connect another vertex to this one.
Args:
vertex (Vertex): vertex to connect from.
weight (int): weight of the edge.
Returns:
Edge: the newly created edge.
"""
for edge in self.edges_in:
if vertex == edge.vertex_out:
return edge
return Edge(vertex, self, weight)
class Edge(object):
"""Edge class. Used in Graph class."""
def __init__(self, vertex_out, vertex_in, weight=1):
"""
Initialization method.
Args:
vertex_out (Vertex): source vertex (edge going out).
vertex_in (Vertex): target vertex (edge going in).
weight (int): weight of the edge.
"""
self.vertex_out = None
self.vertex_in = None
self.weight = weight
self.go_from(vertex_out)
self.go_in(vertex_in)
def __str__(self):
return "%s --%d--> %s" % (self.vertex_out.name, self.weight, self.vertex_in.name)
def go_from(self, vertex):
"""
Tell the edge to go out from this vertex.
Args:
vertex (Vertex): vertex to go from.
"""
if self.vertex_out:
self.vertex_out.edges_out.remove(self)
self.vertex_out = vertex
vertex.edges_out.add(self)
def go_in(self, vertex):
"""
Tell the edge to go into this vertex.
Args:
vertex (Vertex): vertex to go into.
"""
if self.vertex_in:
self.vertex_in.edges_in.remove(self)
self.vertex_in = vertex
vertex.edges_in.add(self)
class Graph(PrintMixin):
"""
Graph class.
A class to build a graph given a list of nodes. After instantiation,
it has two attributes: vertices, the set of nodes,
and edges, the set of edges.
"""
def __init__(self, *nodes, depth=0):
"""
Initialization method.
An intermediary matrix is built to ease the creation of the graph.
Args:
*nodes (list of DSM/Package/Module):
the nodes on which to build the graph.
depth (int): the depth of the intermediary matrix. See
the documentation for Matrix class.
"""
self.edges = set()
vertices = []
matrix = Matrix(*nodes, depth=depth)
for key in matrix.keys:
vertices.append(Vertex(key))
for l, line in enumerate(matrix.data):
for c, cell in enumerate(line):
if cell > 0:
self.edges.add(Edge(vertices[l], vertices[c], weight=cell))
self.vertices = set(vertices)
def _to_csv(self, **kwargs):
header = kwargs.pop("header", True)
text = ["vertex_out,edge_weight,vertex_in\n" if header else ""]
for edge in self.edges:
text.append("%s,%s,%s\n" % (edge.vertex_out.name, edge.weight, edge.vertex_in.name))
for vertex in self.vertices:
if not (vertex.edges_out or vertex.edges_in):
text.append("%s,,\n" % vertex.name)
return "".join(text)
def _to_json(self, **kwargs):
return json.dumps(
{
"vertices": [vertex.name for vertex in self.vertices],
"edges": [
{"out": edge.vertex_out.name, "weight": edge.weight, "in": edge.vertex_in.name}
for edge in self.edges
],
},
**kwargs,
)
def _to_text(self, **kwargs):
return ""
def split_array(mdata, splits):
data = []
for i in range(len(splits) - 1):
data.append([])
rows = mdata[splits[i] : splits[i + 1]]
for j in range(len(splits) - 1):
data[i].append([row[splits[j] : splits[j + 1]] for row in rows])
data[i].append([row[splits[-1] :] for row in rows])
return data