1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
|
"""
Copyright 2008 Free Software Foundation, Inc.
This file is part of GNU Radio
GNU Radio Companion is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
GNU Radio Companion is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA
"""
import os
import subprocess
from Cheetah.Template import Template
from utils import expr_utils
from Constants import \
TOP_BLOCK_FILE_MODE, HIER_BLOCK_FILE_MODE, \
HIER_BLOCKS_LIB_DIR, PYEXEC, \
FLOW_GRAPH_TEMPLATE
from utils import convert_hier
class Generator(object):
def __init__(self, flow_graph, file_path):
"""
Initialize the generator object.
Determine the file to generate.
@param flow_graph the flow graph object
@param file_path the path to write the file to
"""
self._flow_graph = flow_graph
self._generate_options = self._flow_graph.get_option('generate_options')
if self._generate_options == 'hb':
self._mode = HIER_BLOCK_FILE_MODE
dirname = HIER_BLOCKS_LIB_DIR
else:
self._mode = TOP_BLOCK_FILE_MODE
dirname = os.path.dirname(file_path)
filename = self._flow_graph.get_option('id') + '.py'
self._file_path = os.path.join(dirname, filename)
def get_file_path(self): return self._file_path
def write(self):
#generate
open(self.get_file_path(), 'w').write(str(self))
if self._generate_options == 'hb':
#convert hier block to xml wrapper
convert_hier.convert_hier(self._flow_graph, self.get_file_path())
os.chmod(self.get_file_path(), self._mode)
def get_popen(self):
"""
Execute this python flow graph.
@return a popen object
"""
#execute
cmds = [PYEXEC, self.get_file_path()]
if self._generate_options == 'no_gui':
cmds = ['xterm', '-e'] + cmds
p = subprocess.Popen(args=cmds, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell=False, universal_newlines=True)
return p
def __str__(self):
"""
Convert the flow graph to python code.
@return a string of python code
"""
imports = self._flow_graph.get_imports()
variables = self._flow_graph.get_variables()
parameters = self._flow_graph.get_parameters()
#list of variables with controls
controls = filter(lambda v: v.get_key().startswith('variable_'), variables)
#list of blocks not including variables and imports and parameters and disabled
blocks = sorted(self._flow_graph.get_enabled_blocks(), lambda x, y: cmp(x.get_id(), y.get_id()))
blocks = filter(lambda b: b not in (imports + parameters + variables), blocks)
#list of connections where each endpoint is enabled
connections = self._flow_graph.get_enabled_connections()
#list of variable names
var_ids = [var.get_id() for var in parameters + variables]
#list of callbacks (prepend self.)
callbacks = [
expr_utils.expr_prepend(cb, var_ids, 'self.')
for cb in sum([block.get_callbacks() for block in self._flow_graph.get_blocks()], [])
]
#map var id to the expression (prepend self.)
var_id2expr = dict(
[(var.get_id(), expr_utils.expr_prepend(var.get_make().split('\n')[0], var_ids, 'self.'))
for var in parameters + variables]
)
#create graph structure for variables
variable_graph = expr_utils.get_graph(var_id2expr)
#map var id to direct dependents
#for each var id, make a list of all 2nd order edges
#use all edges of that id that are not also 2nd order edges
#meaning: list variables the ONLY depend directly on this variable
#and not variables that also depend indirectly on this variable
var_id2deps = dict(
[(var_id, filter(lambda e: e not in sum([list(variable_graph.get_edges(edge))
for edge in variable_graph.get_edges(var_id)], []), variable_graph.get_edges(var_id)
)
)
for var_id in var_ids]
)
#map var id to callbacks
var_id2cbs = dict(
[(var_id, filter(lambda c: var_id in expr_utils.expr_split(c), callbacks))
for var_id in var_ids]
)
#load the namespace
namespace = {
'imports': imports,
'flow_graph': self._flow_graph,
'variables': variables,
'controls': controls,
'parameters': parameters,
'blocks': blocks,
'connections': connections,
'generate_options': self._generate_options,
'var_id2expr': var_id2expr,
'var_id2deps': var_id2deps,
'var_id2cbs': var_id2cbs,
}
#build the template
t = Template(open(FLOW_GRAPH_TEMPLATE, 'r').read(), namespace)
return str(t)
|