| # 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: | |
| ``` | |
| $ 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 | |
| ``` | |
| ``` | |
| (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). | |