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6<title>LLDB Example - Python Scripting to Debug a Problem</title>
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10    <div class="www_title">
11      Example - Using Scripting and Python to Debug in LLDB
12    </div>
13
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15	<div id="content">
16         <!--#include virtual="sidebar.incl"-->
17		<div id="middle">
18			<div class="post">
19				<h1 class ="postheader">Introduction</h1>
20				<div class="postcontent">
21
22                    <p>LLDB has been structured from the beginning to be scriptable in two ways
23                    -- a Unix Python session can initiate/run a debug session non-interactively
24                    using LLDB; and within the LLDB debugger tool, Python scripts can be used to
25                    help with many tasks, including inspecting program data, iterating over
26                    containers and determining if a breakpoint should stop execution or continue.
27                    This document will show how to do some of these things by going through an
28                    example, explaining how to use Python scripting to find a bug in a program
29                    that searches for text in a large binary tree.</p>
30
31				</div>
32				<div class="postfooter"></div>
33
34			<div class="post">
35				<h1 class ="postheader">The Test Program and Input</h1>
36				<div class="postcontent">
37
38                    <p>We have a simple C program (dictionary.c) that reads in a text file, and
39                    stores all the words from the file in a Binary Search Tree, sorted
40                    alphabetically.  It then enters a loop prompting the user for a word, searching
41                    for the word in the tree (using Binary Search), and reporting to the user
42                    whether or not it found the word in the tree.</p>
43
44                    <p>The input text file we are using to test our program contains the text for
45                    William Shakespeare's famous tragedy "Romeo and Juliet".</p>
46
47				</div>
48				<div class="postfooter"></div>
49
50    			<div class="post">
51    				<h1 class ="postheader">The Bug</h1>
52    				<div class="postcontent">
53
54		   <p>When we try running our program, we find there is a problem.  While it
55                   successfully finds some of the words we would expect to find, such as "love"
56                   or "sun", it fails to find the word "Romeo", which MUST be in the input text
57                   file:</p>
58
59                   <code color=#ff0000>
60                   % ./dictionary Romeo-and-Juliet.txt<br>
61                   Dictionary loaded.<br>
62                   Enter search word: love<br>
63                   Yes!<br>
64                   Enter search word: sun<br>
65                   Yes!<br>
66                   Enter search word: Romeo<br>
67                   No!<br>
68                   Enter search word: ^D<br>
69                   %<br>
70                   </code>
71
72				</div>
73				<div class="postfooter"></div>
74
75
76    			<div class="post">
77    				<h1 class ="postheader">Is the word in our tree: Using Depth First Search</h1>
78    				<div class="postcontent">
79
80                   <p>Our first job is to determine if the word "Romeo" actually got inserted into
81                   the tree or not.  Since "Romeo and Juliet" has thousands of words, trying to
82                   examine our binary search tree by hand is completely impractical.  Therefore we
83                   will write a Python script to search the tree for us.  We will write a recursive
84                   Depth First Search function that traverses the entire tree searching for a word,
85                   and maintaining information about the path from the root of the tree to the
86                   current node.  If it finds the word in the tree, it returns the path from the
87                   root to the node containing the word.  This is what our DFS function in Python
88                   would look like, with line numbers added for easy reference in later
89                   explanations:</p>
90
91                   <code>
92<pre><tt>
93 1: def DFS (root, word, cur_path):
94 2:     root_word_ptr = root.GetChildMemberWithName ("word")
95 3:     left_child_ptr = root.GetChildMemberWithName ("left")
96 4:     right_child_ptr = root.GetChildMemberWithName ("right")
97 5:     root_word = root_word_ptr.GetSummary()
98 6:     end = len (root_word) - 1
99 7:     if root_word[0] == '"' and root_word[end] == '"':
100 8:         root_word = root_word[1:end]
101 9:     end = len (root_word) - 1
10210:     if root_word[0] == '\'' and root_word[end] == '\'':
10311:        root_word = root_word[1:end]
10412:     if root_word == word:
10513:         return cur_path
10614:     elif word < root_word:
10715:         if left_child_ptr.GetValue() == None:
10816:             return ""
10917:         else:
11018:             cur_path = cur_path + "L"
11119:             return DFS (left_child_ptr, word, cur_path)
11220:     else:
11321:         if right_child_ptr.GetValue() == None:
11422:             return ""
11523:         else:
11624:             cur_path = cur_path + "R"
11725:             return DFS (right_child_ptr, word, cur_path)
118</tt></pre>
119                   </code>
120
121				</div>
122				<div class="postfooter"></div>
123
124
125    			<div class="post">
126    				<h1 class ="postheader"><a name="accessing-variables">Accessing & Manipulating <strong>Program</strong> Variables in Python</a>
127</h1>
128    				<div class="postcontent">
129
130                   <p>Before we can call any Python function on any of our program's variables, we
131                   need to get the variable into a form that Python can access.  To show you how to
132                   do this we will look at the parameters for the DFS function.  The first
133                   parameter is going to be a node in our binary search tree, put into a Python
134                   variable.  The second parameter is the word we are searching for (a string), and
135                   the third parameter is a string representing the path from the root of the tree
136                   to our current node.</p>
137
138                   <p>The most interesting parameter is the first one, the Python variable that
139                   needs to contain a node in our search tree. How can we take a variable out of
140                   our program and put it into a Python variable?  What kind of Python variable
141                   will it be?  The answers are to use the LLDB API functions, provided as part of
142                   the LLDB Python module.  Running Python from inside LLDB, LLDB will
143                   automatically give us our current frame object as a Python variable,
144                   "lldb.frame".  This variable has the type "SBFrame" (see the LLDB API for
145                   more information about SBFrame objects).  One of the things we can do with a
146                   frame object, is to ask it to find and return its local variable.  We will call
147                   the API function "FindVariable" on the lldb.frame object to give us our
148                   dictionary variable as a Python variable:</p>
149
150                   <code>
151                      root = lldb.frame.FindVariable ("dictionary")
152                   </code>
153
154                   <p>The line above, executed in the Python script interpreter in LLDB, asks the
155                   current frame to find the variable named "dictionary" and return it.  We then
156                   store the returned value in the Python variable named "root".  This answers the
157                   question of HOW to get the variable, but it still doesn't explain WHAT actually
158                   gets put into "root".  If you examine the LLDB API, you will find that the
159                   SBFrame method "FindVariable" returns an object of type SBValue. SBValue
160                   objects are used, among other things, to wrap up program variables and values.
161                   There are many useful methods defined in the SBValue class to allow you to get
162                   information or children values out of SBValues.  For complete information, see
163                   the header file <a href="http://llvm.org/svn/llvm-project/lldb/trunk/include/lldb/API/SBValue.h">SBValue.h</a>.  The
164                   SBValue methods that we use in our DFS function are
165                   <code>GetChildMemberWithName()</code>,
166                   <code>GetSummary()</code>, and <code>GetValue()</code>.</p>
167
168				</div>
169				<div class="postfooter"></div>
170
171
172    			<div class="post">
173    				<h1 class ="postheader">Explaining Depth First Search Script in Detail</h1>
174    				<div class="postcontent">
175
176                   <p><strong>"DFS" Overview.</strong>  Before diving into the details of this
177                   code, it would be best to give a high-level overview of what it does.  The nodes
178                   in our binary search tree were defined to have type <code>tree_node *</code>,
179                   which is defined as:
180
181                   <code>
182<pre><tt>typedef struct tree_node
183{
184  const char *word;
185  struct tree_node *left;
186  struct tree_node *right;
187} tree_node;</tt></pre></code>
188
189                   <p>Lines 2-11 of DFS are getting data out of the current tree node and getting
190                   ready to do the actual search; lines 12-25 are the actual depth-first search.
191                   Lines 2-4 of our DFS function get the <code>word</code>, <code>left</code> and
192                   <code>right</code> fields out of the current node and store them in Python
193                   variables.  Since <code>root_word_ptr</code> is a pointer to our word, and we
194                   want the actual word, line 5 calls <code>GetSummary()</code> to get a string
195                   containing the value out of the pointer.  Since <code>GetSummary()</code> adds
196                   quotes around its result, lines 6-11 strip surrounding quotes off the word.</p>
197
198                   <p>Line 12 checks to see if the word in the current node is the one we are
199                   searching for.  If so, we are done, and line 13 returns the current path.
200                   Otherwise, line 14 checks to see if we should go left (search word comes before
201                   the current word).  If we decide to go left, line 15 checks to see if the left
202                   pointer child is NULL ("None" is the Python equivalent of NULL). If the left
203                   pointer is NULL, then the word is not in this tree and we return an empty path
204                   (line 16).   Otherwise, we add an "L" to the end of our current path string, to
205                   indicate we are going left (line 18), and then recurse on the left child (line
206                   19).  Lines 20-25 are the same as lines 14-19, except for going right rather
207                   than going left.</p>
208
209                   <p>One other note:  Typing something as long as our DFS function directly into
210                   the interpreter can be difficult, as making a single typing mistake means having
211                   to start all over.  Therefore we recommend doing as we have done:  Writing your
212                   longer, more complicated script functions in a separate file (in this case
213                   tree_utils.py) and then importing it into your LLDB Python interpreter.</p>
214
215				</div>
216				<div class="postfooter"></div>
217
218
219    			<div class="post">
220    				<h1 class ="postheader">Seeing the DFS Script in Action</h1>
221    				<div class="postcontent">
222
223
224                   <p>At this point we are ready to use the DFS function to see if the word "Romeo"
225                   is in our tree or not.  To actually use it in LLDB on our dictionary program,
226                   you would do something like this:</p>
227
228                   <code>
229                     % <strong>lldb</strong><br>
230                     (lldb) <strong>process attach -n "dictionary"</strong><br>
231                     Architecture set to: x86_64.<br>
232                     Process 521 stopped<br>
233                     * thread #1: tid = 0x2c03, 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8, stop reason = signal SIGSTOP<br>
234                     frame #0: 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8<br>
235                     (lldb) <strong>breakpoint set -n find_word</strong><br>
236                     Breakpoint created: 1: name = 'find_word', locations = 1, resolved = 1<br>
237                     (lldb) <strong>continue</strong><br>
238                     Process 521 resuming<br>
239                     Process 521 stopped<br>
240                     * thread #1: tid = 0x2c03, 0x0000000100001830 dictionary`find_word + 16 <br>
241                     at dictionary.c:105, stop reason = breakpoint 1.1<br>
242                     frame #0: 0x0000000100001830 dictionary`find_word + 16 at dictionary.c:105<br>
243                     102 int<br>
244                     103 find_word (tree_node *dictionary, char *word)<br>
245                     104 {<br>
246                     -> 105   if (!word || !dictionary)<br>
247                     106     return 0;<br>
248                     107 <br>
249                     108   int compare_value = strcmp (word, dictionary->word);<br>
250                     (lldb) <strong>script</strong><br>
251                     Python Interactive Interpreter. To exit, type 'quit()', 'exit()' or Ctrl-D.<br>
252                     >>> <strong>import tree_utils</strong><br>
253                     >>> <strong>root = lldb.frame.FindVariable ("dictionary")</strong><br>
254                     >>> <strong>current_path = ""</strong><br>
255                     >>> <strong>path = tree_utils.DFS (root, "Romeo", current_path)</strong><br>
256                     >>> <strong>print path</strong><br>
257                     LLRRL<br>
258                     >>> <strong>^D</strong><br>
259                     (lldb) <br>
260                   </code>
261
262                   <p>The first bit of code above shows starting lldb, attaching to the dictionary
263                   program, and getting to the find_word function in LLDB.  The interesting part
264                   (as far as this example is concerned) begins when we enter the
265                   <code>script</code> command and drop into the embedded interactive Python
266                   interpreter.  We will go over this Python code line by line.  The first line</p>
267
268                   <code>
269                     import tree_utils
270                   </code>
271
272                   <p>imports the file where we wrote our DFS function, tree_utils.py, into Python.
273                   Notice that to import the file we leave off the ".py" extension.  We can now
274                   call any function in that file, giving it the prefix "tree_utils.", so that
275                   Python knows where to look for the function. The line</p>
276
277                   <code>
278                     root = lldb.frame.FindVariable ("dictionary")
279                   </code>
280
281                   <p>gets our program variable "dictionary" (which contains the binary search
282                   tree) and puts it into the Python variable "root".  See
283                   <a href="#accessing-variables">Accessing & Manipulating Program Variables in Python</a>
284                   above for more details about how this works. The next line is</p>
285
286                   <code>
287                     current_path = ""
288                   </code>
289
290                   <p>This line initializes the current_path from the root of the tree to our
291                   current node.  Since we are starting at the root of the tree, our current path
292                   starts as an empty string.  As we go right and left through the tree, the DFS
293                   function will append an 'R' or an 'L' to the current path, as appropriate. The
294                   line</p>
295
296                   <code>
297                     path = tree_utils.DFS (root, "Romeo", current_path)
298                   </code>
299
300                   <p>calls our DFS function (prefixing it with the module name so that Python can
301                   find it).  We pass in our binary tree stored in the variable <code>root</code>,
302                   the word we are searching for, and our current path.  We assign whatever path
303                   the DFS function returns to the Python variable <code>path</code>.</p>
304
305
306                   <p>Finally, we want to see if the word was found or not, and if so we want to
307                   see the path through the tree to the word. So we do</p>
308
309                   <code>
310                     print path
311                   </code>
312
313                   <p>From this we can see that the word "Romeo" was indeed found in the tree, and
314                   the path from the root of the tree to the node containing "Romeo" is
315                   left-left-right-right-left.</p>
316
317				</div>
318				<div class="postfooter"></div>
319
320
321    			<div class="post">
322    				<h1 class ="postheader">What next?  Using Breakpoint Command Scripts...</h1>
323    				<div class="postcontent">
324
325                   <p>We are halfway to figuring out what the problem is.  We know the word we are
326                   looking for is in the binary tree, and we know exactly where it is in the binary
327                   tree.  Now we need to figure out why our binary search algorithm is not finding
328                   the word.  We will do this using breakpoint command scripts.</p>
329
330
331                   <p>The idea is as follows.  The binary search algorithm has two main decision
332                   points:  the decision to follow the right branch; and, the decision to follow
333                   the left branch.  We will set a breakpoint at each of these decision points, and
334                   attach a Python breakpoint command script to each breakpoint.  The breakpoint
335                   commands will use the global <code>path</code> Python variable that we got from
336                   our DFS function. Each time one of these decision breakpoints is hit, the script
337                   will compare the actual decision with the decision the front of the
338                   <code>path</code> variable says should be made (the first character of the
339                   path).  If the actual decision and the path agree, then the front character is
340                   stripped off the path, and execution is resumed.  In this case the user never
341                   even sees the breakpoint being hit.  But if the decision differs from what the
342                   path says it should be, then the script prints out a message and does NOT resume
343                   execution, leaving the user sitting at the first point where a wrong decision is
344                   being made.</p>
345
346				</div>
347				<div class="postfooter"></div>
348
349
350    			<div class="post">
351    				<h1 class ="postheader">Side Note: Python Breakpoint Command Scripts are NOT What They Seem</h1>
352    				<div class="postcontent">
353
354				</div>
355				<div class="postfooter"></div>
356
357                   <p>What do we mean by that?  When you enter a Python breakpoint command in LLDB,
358                   it appears that you are entering one or more plain lines of Python. BUT LLDB
359                   then takes what you entered and wraps it into a Python FUNCTION (just like using
360                   the "def" Python command).   It automatically gives the function an obscure,
361                   unique, hard-to-stumble-across function name, and gives it two parameters:
362                   <code>frame</code> and <code>bp_loc</code>.  When the breakpoint gets hit, LLDB
363                   wraps up the frame object where the breakpoint was hit, and the breakpoint
364                   location object for the breakpoint that was hit, and puts them into Python
365                   variables for you.  It then calls the Python function that was created for the
366                   breakpoint command, and passes in the frame and breakpoint location objects.</p>
367
368                   <p>So, being practical, what does this mean for you when you write your Python
369                   breakpoint commands?  It means that there are two things you need to keep in
370                   mind: 1. If you want to access any Python variables created outside your script,
371                   <strong>you must declare such variables to be global</strong>.  If you do not
372                   declare them as global, then the Python function will treat them as local
373                   variables, and you will get unexpected behavior.  2. <strong>All Python
374                   breakpoint command scripts automatically have a <code>frame</code> and a
375                   <code>bp_loc</code> variable.</strong>  The variables are pre-loaded by LLDB
376                   with the correct context for the breakpoint.  You do not have to use these
377                   variables, but they are there if you want them.</p>
378
379				</div>
380				<div class="postfooter"></div>
381
382
383    			<div class="post">
384    				<h1 class ="postheader">The Decision Point Breakpoint Commands</h1>
385    				<div class="postcontent">
386
387                   <p>This is what the Python breakpoint command script would look like for the
388                   decision to go right:<p>
389
390<code><pre><tt>
391global path
392if path[0] == 'R':
393    path = path[1:]
394    thread = frame.GetThread()
395    process = thread.GetProcess()
396    process.Continue()
397else:
398    print "Here is the problem; going right, should go left!"
399</tt></pre></code>
400
401                   <p>Just as a reminder, LLDB is going to take this script and wrap it up in a
402                   function, like this:</p>
403
404<code><pre><tt>
405def some_unique_and_obscure_function_name (frame, bp_loc):
406    global path
407    if path[0] == 'R':
408        path = path[1:]
409        thread = frame.GetThread()
410        process = thread.GetProcess()
411        process.Continue()
412    else:
413        print "Here is the problem; going right, should go left!"
414</tt></pre></code>
415
416                   <p>LLDB will call the function, passing in the correct frame and breakpoint
417                   location whenever the breakpoint gets hit.  There are several things to notice
418                   about this function.  The first one is that we are accessing and updating a
419                   piece of state (the <code>path</code> variable), and actually conditioning our
420                   behavior based upon this variable.  Since the variable was defined outside of
421                   our script (and therefore outside of the corresponding function) we need to tell
422                   Python that we are accessing a global variable. That is what the first line of
423                   the script does.  Next we check where the path says we should go and compare it to
424                   our decision (recall that we are at the breakpoint for the decision to go
425                   right). If the path agrees with our decision, then  we strip the first character
426                   off of the path.</p>
427
428                   <p>Since the decision matched the path, we want to resume execution.  To do this
429                   we make use of the <code>frame</code> parameter that LLDB guarantees will be
430                   there for us.  We use LLDB API functions to get the current thread from the
431                   current frame, and then to get the process from the thread.  Once we have the
432                   process, we tell it to resume execution (using the <code>Continue()</code> API
433                   function).</p>
434
435                   <p>If the decision to go right does not agree with the path, then we do not
436                   resume execution.  We allow the breakpoint to remain stopped (by doing nothing),
437                   and we print an informational message telling the user we have found the
438                   problem, and what the problem is.</p>
439
440				</div>
441				<div class="postfooter"></div>
442
443    			<div class="post">
444    				<h1 class ="postheader">Actually Using the Breakpoint Commands</h1>
445    				<div class="postcontent">
446
447                   <p>Now we will look at what happens when we actually use these breakpoint
448                   commands on our program.  Doing a <code>source list -n find_word</code> shows
449                   us the function containing our two decision points.  Looking at the code below,
450                   we see that we want to set our breakpoints on lines 113 and 115:</p>
451
452<code><pre><tt>
453(lldb) source list -n find_word
454File: /Volumes/Data/HD2/carolinetice/Desktop/LLDB-Web-Examples/dictionary.c.
455101
456102 int
457103 find_word (tree_node *dictionary, char *word)
458104 {
459105   if (!word || !dictionary)
460106     return 0;
461107
462108   int compare_value = strcmp (word, dictionary->word);
463109
464110   if (compare_value == 0)
465111     return 1;
466112   else if (compare_value < 0)
467113     return find_word (dictionary->left, word);
468114   else
469115     return find_word (dictionary->right, word);
470116 }
471117
472</tt></pre></code>
473
474                   <p>So, we set our breakpoints, enter our breakpoint command scripts, and see
475                   what happens:<p>
476
477<code><pre><tt>
478(lldb) breakpoint set -l 113
479Breakpoint created: 2: file ='dictionary.c', line = 113, locations = 1, resolved = 1
480(lldb) breakpoint set -l 115
481Breakpoint created: 3: file ='dictionary.c', line = 115, locations = 1, resolved = 1
482(lldb) breakpoint command add -s python 2
483Enter your Python command(s). Type 'DONE' to end.
484> global path
485> if (path[0] == 'L'):
486>     path = path[1:]
487>     thread = frame.GetThread()
488>     process = thread.GetProcess()
489>     process.Continue()
490> else:
491>     print "Here is the problem. Going left, should go right!"
492> DONE
493(lldb) breakpoint command add -s python 3
494Enter your Python command(s). Type 'DONE' to end.
495> global path
496> if (path[0] == 'R'):
497>     path = path[1:]
498>     thread = frame.GetThread()
499>     process = thread.GetProcess()
500>     process.Continue()
501> else:
502>     print "Here is the problem. Going right, should go left!"
503> DONE
504(lldb) continue
505Process 696 resuming
506Here is the problem. Going right, should go left!
507Process 696 stopped
508* thread #1: tid = 0x2d03, 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115, stop reason = breakpoint 3.1
509  frame #0: 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115
510    112   else if (compare_value < 0)
511    113     return find_word (dictionary->left, word);
512    114   else
513 -> 115     return find_word (dictionary->right, word);
514    116 }
515    117
516    118 void
517(lldb)
518</tt></pre></code>
519
520
521                   <p>After setting our breakpoints, adding our breakpoint commands and continuing,
522                   we run for a little bit and then hit one of our breakpoints, printing out the
523                   error message from the breakpoint command.  Apparently at this point the the
524                   tree, our search algorithm decided to go right, but our path says the node we
525                   want is to the left. Examining the word at the node where we stopped, and our
526                   search word, we see:</p>
527
528                   <code>
529                     (lldb) expr dictionary->word<br>
530                     (const char *) $1 = 0x0000000100100080 "dramatis"<br>
531                     (lldb) expr word<br>
532                     (char *) $2 = 0x00007fff5fbff108 "romeo"<br>
533                   </code>
534
535                   <p>So the word at our current node is "dramatis", and the word we are searching
536                   for is "romeo".  "romeo" comes after "dramatis" alphabetically, so it seems like
537                   going right would be the correct decision.  Let's ask Python what it thinks the
538                   path from the current node to our word is:</p>
539
540                   <code>
541                     (lldb) script print path<br>
542                     LLRRL<br>
543                   </code>
544
545                   <p>According to Python we need to go left-left-right-right-left from our current
546                   node to find the word we are looking for.  Let's double check our tree, and see
547                   what word it has at that node:</p>
548
549                   <code>
550                     (lldb) expr dictionary->left->left->right->right->left->word<br>
551                     (const char *) $4 = 0x0000000100100880 "Romeo"<br>
552                   </code>
553
554                   <p>So the word we are searching for is "romeo" and the word at our DFS location
555                   is "Romeo".  Aha!  One is uppercase and the other is lowercase:  We seem to have
556                   a case conversion problem somewhere in our program (we do).</p>
557
558                   <p>This is the end of our example on how you might use Python scripting in LLDB
559                   to help you find bugs in your program.</p>
560
561				</div>
562				<div class="postfooter"></div>
563
564    			<div class="post">
565    				<h1 class ="postheader">Source Files for The Example</h1>
566    				<div class="postcontent">
567
568
569                </div>
570          	    <div class="postfooter"></div>
571
572                  <p> The complete code for the Dictionary program (with case-conversion bug),
573                  the DFS function and other Python script examples (tree_utils.py) used for this
574                  example are available via following file links:</p>
575
576<a href="http://llvm.org/svn/llvm-project/lldb/trunk/examples/scripting/tree_utils.py">tree_utils.py</a>  -  Example Python functions using LLDB's API, including DFS<br>
577<a href="http://llvm.org/svn/llvm-project/lldb/trunk/examples/scripting/dictionary.c">dictionary.c</a>  -  Sample dictionary program, with bug<br>
578
579                    <p>The text for "Romeo and Juliet" can be obtained from the Gutenberg Project
580                    (http://www.gutenberg.org).</p>
581            </div>
582      	</div>
583	</div>
584</div>
585</body>
586</html>
587