| # Script-Driven Debugging |
| |
| LLDB has been structured from the beginning to be scriptable in two |
| ways: |
| - a Unix Python session can initiate/run a debug session non-interactively |
| using LLDB; |
| - and within the LLDB debugger tool, Python scripts can be used to help with |
| many tasks, including inspecting program data, iterating over containers and |
| determining if a breakpoint should stop execution or continue. |
| |
| This document will show how to do some of these things by going through an |
| example, explaining how to use Python scripting to find a bug in a program |
| that searches for text in a large binary tree. |
| |
| ### The Test Program and Input |
| |
| We have a simple C program ([dictionary.c](https://github.com/llvm/llvm-project/blob/main/lldb/examples/scripting/dictionary.c)) |
| that reads in a text file, and stores all the words from the file in a |
| Binary Search Tree, sorted alphabetically. It then enters a loop |
| prompting the user for a word, searching for the word in the tree |
| (using Binary Search), and reporting to the user whether or not it found |
| the word in the tree. |
| |
| The input text file we are using to test our program contains the text |
| for William Shakespeare's famous tragedy "Romeo and Juliet". |
| |
| ### The Bug |
| |
| When we try running our program, we find there is a problem. While it |
| successfully finds some of the words we would expect to find, such as |
| "love" or "sun", it fails to find the word "Romeo", which **MUST** be in |
| the input text file: |
| |
| ```shell |
| $ ./dictionary Romeo-and-Juliet.txt |
| Dictionary loaded. |
| Enter search word: love |
| Yes! |
| Enter search word: sun |
| Yes! |
| Enter search word: Romeo |
| No! |
| Enter search word: ^D |
| $ |
| ``` |
| |
| ### Using Depth First Search |
| |
| Our first job is to determine if the word "Romeo" actually got inserted |
| into the tree or not. Since "Romeo and Juliet" has thousands of words, |
| trying to examine our binary search tree by hand is completely |
| impractical. Therefore we will write a Python script to search the tree |
| for us. We will write a recursive Depth First Search function that |
| traverses the entire tree searching for a word, and maintaining |
| information about the path from the root of the tree to the current |
| node. If it finds the word in the tree, it returns the path from the |
| root to the node containing the word. This is what our DFS function in |
| Python would look like, with line numbers added for easy reference in |
| later explanations: |
| |
| ```python3 |
| 1: def DFS (root, word, cur_path): |
| 2: root_word_ptr = root.GetChildMemberWithName ("word") |
| 3: left_child_ptr = root.GetChildMemberWithName ("left") |
| 4: right_child_ptr = root.GetChildMemberWithName ("right") |
| 5: root_word = root_word_ptr.GetSummary() |
| 6: end = len (root_word) - 1 |
| 7: if root_word[0] == '"' and root_word[end] == '"': |
| 8: root_word = root_word[1:end] |
| 9: end = len (root_word) - 1 |
| 10: if root_word[0] == '\'' and root_word[end] == '\'': |
| 11: root_word = root_word[1:end] |
| 12: if root_word == word: |
| 13: return cur_path |
| 14: elif word < root_word: |
| 15: if left_child_ptr.GetValue() is None: |
| 16: return "" |
| 17: else: |
| 18: cur_path = cur_path + "L" |
| 19: return DFS (left_child_ptr, word, cur_path) |
| 20: else: |
| 21: if right_child_ptr.GetValue() is None: |
| 22: return "" |
| 23: else: |
| 24: cur_path = cur_path + "R" |
| 25: return DFS (right_child_ptr, word, cur_path) |
| ``` |
| |
| ### Accessing & Manipulating Program Variables |
| |
| Before we can call any Python function on any of our program's |
| variables, we need to get the variable into a form that Python can |
| access. To show you how to do this we will look at the parameters for |
| the DFS function. The first parameter is going to be a node in our |
| binary search tree, put into a Python variable. The second parameter is |
| the word we are searching for (a string), and the third parameter is a |
| string representing the path from the root of the tree to our current |
| node. |
| |
| The most interesting parameter is the first one, the Python variable |
| that needs to contain a node in our search tree. How can we take a |
| variable out of our program and put it into a Python variable? What |
| kind of Python variable will it be? The answers are to use the LLDB API |
| functions, provided as part of the LLDB Python module. Running Python |
| from inside LLDB, LLDB will automatically give us our current frame |
| object as a Python variable, "lldb.frame". This variable has the type |
| `SBFrame` (see the LLDB API for more information about `SBFrame` |
| objects). One of the things we can do with a frame object, is to ask it |
| to find and return its local variable. We will call the API function |
| `SBFrame.FindVariable` on the `lldb.frame` object to give us our |
| dictionary variable as a Python variable: |
| |
| ```python3 |
| root = lldb.frame.FindVariable ("dictionary") |
| ``` |
| |
| The line above, executed in the Python script interpreter in LLDB, asks the |
| current frame to find the variable named "dictionary" and return it. We then |
| store the returned value in the Python variable named "root". This answers the |
| question of HOW to get the variable, but it still doesn't explain WHAT actually |
| gets put into "root". If you examine the LLDB API, you will find that the |
| `SBFrame` method "FindVariable" returns an object of type `SBValue`. `SBValue` |
| objects are used, among other things, to wrap up program variables and values. |
| There are many useful methods defined in the `SBValue` class to allow you to get |
| information or children values out of SBValues. For complete information, see |
| the header file SBValue.h. The `SBValue` methods that we use in our DFS function |
| are `GetChildMemberWithName()`, `GetSummary()`, and `GetValue()`. |
| |
| ### Explaining DFS Script in Detail |
| |
| Before diving into the details of this code, it would be best to give a |
| high-level overview of what it does. The nodes in our binary search tree were |
| defined to have type `tree_node *`, which is defined as: |
| |
| ```c++ |
| typedef struct tree_node |
| { |
| const char *word; |
| struct tree_node *left; |
| struct tree_node *right; |
| } tree_node; |
| ``` |
| |
| Lines 2-11 of DFS are getting data out of the current tree node and getting |
| ready to do the actual search; lines 12-25 are the actual depth-first search. |
| Lines 2-4 of our DFS function get the word, left and right fields out of the |
| current node and store them in Python variables. Since root_word_ptr is a |
| pointer to our word, and we want the actual word, line 5 calls GetSummary() to |
| get a string containing the value out of the pointer. Since GetSummary() adds |
| quotes around its result, lines 6-11 strip surrounding quotes off the word. |
| |
| Line 12 checks to see if the word in the current node is the one we are |
| searching for. If so, we are done, and line 13 returns the current path. |
| Otherwise, line 14 checks to see if we should go left (search word comes before |
| the current word). If we decide to go left, line 15 checks to see if the left |
| pointer child is NULL ("None" is the Python equivalent of NULL). If the left |
| pointer is NULL, then the word is not in this tree and we return an empty path |
| (line 16). Otherwise, we add an "L" to the end of our current path string, to |
| indicate we are going left (line 18), and then recurse on the left child (line |
| 19). Lines 20-25 are the same as lines 14-19, except for going right rather |
| than going left. |
| |
| One other note: Typing something as long as our DFS function directly into the |
| interpreter can be difficult, as making a single typing mistake means having to |
| start all over. Therefore we recommend doing as we have done: Writing your |
| longer, more complicated script functions in a separate file (in this case |
| tree_utils.py) and then importing it into your LLDB Python interpreter. |
| |
| ### The DFS Script in Action |
| |
| At this point we are ready to use the DFS function to see if the word "Romeo" |
| is in our tree or not. To actually use it in LLDB on our dictionary program, |
| you would do something like this: |
| |
| ```c++ |
| $ lldb |
| (lldb) process attach -n "dictionary" |
| Architecture set to: x86_64. |
| Process 521 stopped |
| * thread #1: tid = 0x2c03, 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8, stop reason = signal SIGSTOP |
| frame #0: 0x00007fff86c8bea0 libSystem.B.dylib`read$NOCANCEL + 8 |
| (lldb) breakpoint set -n find_word |
| Breakpoint created: 1: name = 'find_word', locations = 1, resolved = 1 |
| (lldb) continue |
| Process 521 resuming |
| Process 521 stopped |
| * thread #1: tid = 0x2c03, 0x0000000100001830 dictionary`find_word + 16 |
| at dictionary.c:105, stop reason = breakpoint 1.1 |
| frame #0: 0x0000000100001830 dictionary`find_word + 16 at dictionary.c:105 |
| 102 int |
| 103 find_word (tree_node *dictionary, char *word) |
| 104 { |
| -> 105 if (!word || !dictionary) |
| 106 return 0; |
| 107 |
| 108 int compare_value = strcmp (word, dictionary->word); |
| (lldb) script |
| ``` |
| ```python3 |
| Python Interactive Interpreter. To exit, type 'quit()', 'exit()' or Ctrl-D. |
| >>> import tree_utils |
| >>> root = lldb.frame.FindVariable ("dictionary") |
| >>> current_path = "" |
| >>> path = tree_utils.DFS (root, "Romeo", current_path) |
| >>> print path |
| LLRRL |
| >>> ^D |
| (lldb) |
| ``` |
| |
| The first bit of code above shows starting lldb, attaching to the dictionary |
| program, and getting to the find_word function in LLDB. The interesting part |
| (as far as this example is concerned) begins when we enter the script command |
| and drop into the embedded interactive Python interpreter. We will go over this |
| Python code line by line. The first line |
| |
| ```python3 |
| import tree_utils |
| ``` |
| |
| imports the file where we wrote our DFS function, tree_utils.py, into Python. |
| Notice that to import the file we leave off the ".py" extension. We can now |
| call any function in that file, giving it the prefix "tree_utils.", so that |
| Python knows where to look for the function. The line |
| |
| ```python3 |
| root = lldb.frame.FindVariable ("dictionary") |
| ``` |
| |
| gets our program variable "dictionary" (which contains the binary search tree) |
| and puts it into the Python variable "root". See Accessing & Manipulating |
| Program Variables in Python above for more details about how this works. The |
| next line is |
| |
| ```python3 |
| current_path = "" |
| ``` |
| |
| This line initializes the current_path from the root of the tree to our current |
| node. Since we are starting at the root of the tree, our current path starts as |
| an empty string. As we go right and left through the tree, the DFS function |
| will append an 'R' or an 'L' to the current path, as appropriate. The line |
| |
| ```python3 |
| path = tree_utils.DFS (root, "Romeo", current_path) |
| ``` |
| |
| calls our DFS function (prefixing it with the module name so that Python can |
| find it). We pass in our binary tree stored in the variable root, the word we |
| are searching for, and our current path. We assign whatever path the DFS |
| function returns to the Python variable path. |
| |
| Finally, we want to see if the word was found or not, and if so we want to see |
| the path through the tree to the word. So we do |
| |
| ```python3 |
| print path |
| ``` |
| |
| From this we can see that the word "Romeo" was indeed found in the tree, and |
| the path from the root of the tree to the node containing "Romeo" is |
| left-left-right-right-left. |
| |
| ### Using Breakpoint Command Scripts |
| |
| We are halfway to figuring out what the problem is. We know the word we are |
| looking for is in the binary tree, and we know exactly where it is in the |
| binary tree. Now we need to figure out why our binary search algorithm is not |
| finding the word. We will do this using breakpoint command scripts. |
| |
| The idea is as follows. The binary search algorithm has two main decision |
| points: the decision to follow the right branch; and, the decision to follow |
| the left branch. We will set a breakpoint at each of these decision points, and |
| attach a Python breakpoint command script to each breakpoint. The breakpoint |
| commands will use the global path Python variable that we got from our DFS |
| function. Each time one of these decision breakpoints is hit, the script will |
| compare the actual decision with the decision the front of the path variable |
| says should be made (the first character of the path). If the actual decision |
| and the path agree, then the front character is stripped off the path, and |
| execution is resumed. In this case the user never even sees the breakpoint |
| being hit. But if the decision differs from what the path says it should be, |
| then the script prints out a message and does NOT resume execution, leaving the |
| user sitting at the first point where a wrong decision is being made. |
| |
| ### Python Breakpoint Command Scripts Are Not What They Seem |
| |
| What do we mean by that? When you enter a Python breakpoint command in LLDB, it |
| appears that you are entering one or more plain lines of Python. BUT LLDB then |
| takes what you entered and wraps it into a Python FUNCTION (just like using the |
| "def" Python command). It automatically gives the function an obscure, unique, |
| hard-to-stumble-across function name, and gives it two parameters: frame and |
| bp_loc. When the breakpoint gets hit, LLDB wraps up the frame object where the |
| breakpoint was hit, and the breakpoint location object for the breakpoint that |
| was hit, and puts them into Python variables for you. It then calls the Python |
| function that was created for the breakpoint command, and passes in the frame |
| and breakpoint location objects. |
| |
| So, being practical, what does this mean for you when you write your Python |
| breakpoint commands? It means that there are two things you need to keep in |
| mind: 1. If you want to access any Python variables created outside your |
| script, you must declare such variables to be global. If you do not declare |
| them as global, then the Python function will treat them as local variables, |
| and you will get unexpected behavior. 2. All Python breakpoint command scripts |
| automatically have a frame and a bp_loc variable. The variables are pre-loaded |
| by LLDB with the correct context for the breakpoint. You do not have to use |
| these variables, but they are there if you want them. |
| |
| ### The Decision Point Breakpoint Commands |
| |
| This is what the Python breakpoint command script would look like for the |
| decision to go right: |
| |
| ```python3 |
| global path |
| if path[0] == 'R': |
| path = path[1:] |
| thread = frame.GetThread() |
| process = thread.GetProcess() |
| process.Continue() |
| else: |
| print "Here is the problem; going right, should go left!" |
| ``` |
| |
| Just as a reminder, LLDB is going to take this script and wrap it up in a function, like this: |
| |
| ```python3 |
| def some_unique_and_obscure_function_name (frame, bp_loc): |
| global path |
| if path[0] == 'R': |
| path = path[1:] |
| thread = frame.GetThread() |
| process = thread.GetProcess() |
| process.Continue() |
| else: |
| print "Here is the problem; going right, should go left!" |
| ``` |
| |
| LLDB will call the function, passing in the correct frame and breakpoint |
| location whenever the breakpoint gets hit. There are several things to notice |
| about this function. The first one is that we are accessing and updating a |
| piece of state (the path variable), and actually conditioning our behavior |
| based upon this variable. Since the variable was defined outside of our script |
| (and therefore outside of the corresponding function) we need to tell Python |
| that we are accessing a global variable. That is what the first line of the |
| script does. Next we check where the path says we should go and compare it to |
| our decision (recall that we are at the breakpoint for the decision to go |
| right). If the path agrees with our decision, then we strip the first character |
| off of the path. |
| |
| Since the decision matched the path, we want to resume execution. To do this we |
| make use of the frame parameter that LLDB guarantees will be there for us. We |
| use LLDB API functions to get the current thread from the current frame, and |
| then to get the process from the thread. Once we have the process, we tell it |
| to resume execution (using the Continue() API function). |
| |
| If the decision to go right does not agree with the path, then we do not resume |
| execution. We allow the breakpoint to remain stopped (by doing nothing), and we |
| print an informational message telling the user we have found the problem, and |
| what the problem is. |
| |
| ### Actually Using The Breakpoint Commands |
| |
| Now we will look at what happens when we actually use these breakpoint commands |
| on our program. Doing a source list -n find_word shows us the function |
| containing our two decision points. Looking at the code below, we see that we |
| want to set our breakpoints on lines 113 and 115: |
| |
| ```c++ |
| (lldb) source list -n find_word |
| File: /Volumes/Data/HD2/carolinetice/Desktop/LLDB-Web-Examples/dictionary.c. |
| 101 |
| 102 int |
| 103 find_word (tree_node *dictionary, char *word) |
| 104 { |
| 105 if (!word || !dictionary) |
| 106 return 0; |
| 107 |
| 108 int compare_value = strcmp (word, dictionary->word); |
| 109 |
| 110 if (compare_value == 0) |
| 111 return 1; |
| 112 else if (compare_value < 0) |
| 113 return find_word (dictionary->left, word); |
| 114 else |
| 115 return find_word (dictionary->right, word); |
| 116 } |
| 117 |
| ``` |
| |
| So, we set our breakpoints, enter our breakpoint command scripts, and see what happens: |
| |
| ```c++ |
| (lldb) breakpoint set -l 113 |
| Breakpoint created: 2: file ="dictionary.c", line = 113, locations = 1, resolved = 1 |
| (lldb) breakpoint set -l 115 |
| Breakpoint created: 3: file ="dictionary.c", line = 115, locations = 1, resolved = 1 |
| (lldb) breakpoint command add -s python 2 |
| ``` |
| ```python3 |
| Enter your Python command(s). Type 'DONE' to end. |
| > global path |
| > if (path[0] == 'L'): |
| > path = path[1:] |
| > thread = frame.GetThread() |
| > process = thread.GetProcess() |
| > process.Continue() |
| > else: |
| > print "Here is the problem. Going left, should go right!" |
| > DONE |
| ``` |
| ```c++ |
| (lldb) breakpoint command add -s python 3 |
| ``` |
| ```python3 |
| Enter your Python command(s). Type 'DONE' to end. |
| > global path |
| > if (path[0] == 'R'): |
| > path = path[1:] |
| > thread = frame.GetThread() |
| > process = thread.GetProcess() |
| > process.Continue() |
| > else: |
| > print "Here is the problem. Going right, should go left!" |
| > DONE |
| ``` |
| ```c++ |
| (lldb) continue |
| Process 696 resuming |
| Here is the problem. Going right, should go left! |
| Process 696 stopped |
| * thread #1: tid = 0x2d03, 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115, stop reason = breakpoint 3.1 |
| frame #0: 0x000000010000189f dictionary`find_word + 127 at dictionary.c:115 |
| 112 else if (compare_value < 0) |
| 113 return find_word (dictionary->left, word); |
| 114 else |
| -> 115 return find_word (dictionary->right, word); |
| 116 } |
| 117 |
| 118 void |
| (lldb) |
| ``` |
| |
| After setting our breakpoints, adding our breakpoint commands and continuing, |
| we run for a little bit and then hit one of our breakpoints, printing out the |
| error message from the breakpoint command. Apparently at this point in the |
| tree, our search algorithm decided to go right, but our path says the node we |
| want is to the left. Examining the word at the node where we stopped, and our |
| search word, we see: |
| |
| ```c++ |
| (lldb) expr dictionary->word |
| (const char *) $1 = 0x0000000100100080 "dramatis" |
| (lldb) expr word |
| (char *) $2 = 0x00007fff5fbff108 "romeo" |
| ``` |
| |
| So the word at our current node is "dramatis", and the word we are searching |
| for is "romeo". "romeo" comes after "dramatis" alphabetically, so it seems like |
| going right would be the correct decision. Let's ask Python what it thinks the |
| path from the current node to our word is: |
| |
| ```c++ |
| (lldb) script print path |
| LLRRL |
| ``` |
| |
| According to Python we need to go left-left-right-right-left from our current |
| node to find the word we are looking for. Let's double check our tree, and see |
| what word it has at that node: |
| |
| ```c++ |
| (lldb) expr dictionary->left->left->right->right->left->word |
| (const char *) $4 = 0x0000000100100880 "Romeo" |
| ``` |
| |
| So the word we are searching for is "romeo" and the word at our DFS location is |
| "Romeo". Aha! One is uppercase and the other is lowercase: We seem to have a |
| case conversion problem somewhere in our program (we do). |
| |
| This is the end of our example on how you might use Python scripting in LLDB to |
| help you find bugs in your program. |
| |
| ### Sources |
| |
| The complete code for the Dictionary program (with case-conversion bug), the |
| DFS function and other Python script examples used for this example are |
| available below. |
| |
| - [tree_utils.py](https://github.com/llvm/llvm-project/blob/main/lldb/examples/scripting/tree_utils.py) - Example Python functions using LLDB's API, including DFS |
| - [dictionary.c](https://github.com/llvm/llvm-project/blob/main/lldb/examples/scripting/dictionary.c) - Sample dictionary program, with bug |
| - The text for "Romeo and Juliet" can be obtained from [the Gutenberg Project](https://www.gutenberg.org). |
| |