← devstral-small-2

build-merkle-tree-cli-sha512

software-engineering timeout 19 turns 1141s 19 tool calls

reconstructed
TBLite drops the in‑progress transcript when it kills a timing‑out task. The events below were captured turn‑by‑turn by the agent‑loop patch and pieced back together — full content, reasoning, and tool calls are all real; they just came from a different stream than the other tasks.

turn 1 · tool · terminal
{"output": "total 12\ndrwxr-xr-x 1 root root 4096 Mar  4 09:21 .\ndrwxr-xr-x 1 root root 4096 Apr 22 20:55 ..\ndrwxrwxr-x 3 root root 4096 Mar  4 09:05 test_data", "exit_code": 0, "error": null}
turn 1 · assistant 8.4s api
I'll build the Merkle Tree CLI tool according to your specifications. Let me start by exploring the environment and then create the implementation.
→ terminal({"command": "cd /app && ls -la"})
turn 2 · tool · terminal
{"output": "total 24\ndrwxrwxr-x 3 root root 4096 Mar  4 09:05 .\ndrwxr-xr-x 1 root root 4096 Mar  4 09:21 ..\n-rw-rw-r-- 1 root root   43 Mar  4 09:05 file1.txt\n-rw-rw-r-- 1 root root   49 Mar  4 09:05 file2.txt\n-rw-rw-r-- 1 root root   56 Mar  4 09:05 file3.txt\ndrwxrwxr-x 2 root root 4096 Mar  4 09:05 subdir", "exit_code": 0, "error": null}
turn 2 · assistant 3.6s api
→ terminal({"command": "cd /app && ls -la test_data/"})
turn 3 · tool · read_file
{"content": "     1|This is file 1 content.\n     2|Line 2 of file 1.\n     3|\n     4|", "total_lines": 3, "file_size": 43, "truncated": false, "is_binary": false, "is_image": false}
turn 3 · assistant 3.2s api
→ read_file({"path": "/app/test_data/file1.txt"})
turn 4 · tool · read_file
{"content": "     1|This is file 2 content.\n     2|Different content here.\n     3|\n     4|", "total_lines": 3, "file_size": 49, "truncated": false, "is_binary": false, "is_image": false}
turn 4 · assistant 3.4s api
→ read_file({"path": "/app/test_data/file2.txt"})
turn 5 · tool · read_file
{"content": "     1|File 3 has unique content.\n     2|Third file in the test set.\n     3|\n     4|", "total_lines": 3, "file_size": 56, "truncated": false, "is_binary": false, "is_image": false}
turn 5 · assistant 3.8s api
→ read_file({"path": "/app/test_data/file3.txt"})
turn 6 · tool · terminal
{"output": "total 12\ndrwxrwxr-x 2 root root 4096 Mar  4 09:05 .\ndrwxrwxr-x 3 root root 4096 Mar  4 09:05 ..\n-rw-rw-r-- 1 root root   41 Mar  4 09:05 nested.txt", "exit_code": 0, "error": null}
turn 6 · assistant 4.2s api
→ terminal({"command": "cd /app/test_data/subdir && ls -la"})
turn 7 · tool · read_file
{"content": "     1|Nested file content.\n     2|In a subdirectory.\n     3|\n     4|", "total_lines": 3, "file_size": 41, "truncated": false, "is_binary": false, "is_image": false}
turn 7 · assistant 4.2s api
→ read_file({"path": "/app/test_data/subdir/nested.txt"})
turn 8 · tool · write_file
{"bytes_written": 16811, "dirs_created": true}
turn 8 · assistant 738.9s api
Now I'll create the Merkle CLI tool. Let me start by writing the complete implementation:
→ write_file({"path": "/app/merkle_cli.py", "content": "#!/usr/bin/env python3\n\"\"\"\nMerkle Tree CLI Tool\n\nA CLI tool that scans a directory, computes SHA-512 hashes of each file as leaves\nin a Merkle tree, and stores the root hash and leaf proofs. Provides commands to\ngenerate Merkle proofs and verify file integrity.\n\"\"\"\n\nimport argparse\nimport hashlib\nimport json\nimport os\nimport sys\nfrom p…)
turn 9 · tool · terminal
{"output": "", "exit_code": 0, "error": null}
turn 9 · assistant 5.1s api
→ terminal({"command": "chmod +x /app/merkle_cli.py"})
turn 10 · tool · terminal
{"output": "Traceback (most recent call last):\n  File \"/app/merkle_cli.py\", line 436, in <module>\n    cli.run()\n    ~~~~~~~^^\n  File \"/app/merkle_cli.py\", line 427, in run\n    self.scan(args.directory)\n    ~~~~~~~~~^^^^^^^^^^^^^^^^\n  File \"/app/merkle_cli.py\", line 250, in scan\n    root_hash = tree.build_tree(directory)\n  File \"/app/merkle_cli.py\", line 63, in build_tree\n    return self._build_merkle_tree(self.leaf_hashes)\n           ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\n  File \"/app/merkle_cli.py\", line 76, in _build_merkle_tree\n    combined = current_level[i] + current_level[i + 1]\n               ~~~~~~~~~~~~~^^^\nKeyError: 0", "exit_code": 1, "error": null}
turn 10 · assistant 6.7s api
Now let's test the CLI tool with the test data:
→ terminal({"command": "cd /app && python merkle_cli.py scan test_data"})
turn 11 · tool · patch
{"success": true, "diff": "--- a//app/merkle_cli.py\n+++ b//app/merkle_cli.py\n@@ -60,7 +60,7 @@\n             self.leaf_hashes[file_path] = file_hash\n         \n         # Build the tree\n-        return self._build_merkle_tree(self.leaf_hashes)\n+        return self._build_merkle_tree(list(self.leaf_hashes.values()))\n     \n     def _build_merkle_tree(self, hashes: List[str]) -> str:\n         \"\"\"Build Merkle tree from leaf hashes.\"\"\"\n", "files_modified": ["/app/merkle_cli.py"], "lint": {"status": "ok", "output": ""}}
turn 11 · assistant 94.9s api
I see the issue. The `_build_merkle_tree` method is expecting a list but receiving a dictionary. Let me fix this:
→ patch({"path": "/app/merkle_cli.py", "old_string": "    def build_tree(self, directory: str):\n        \"\"\"Scan directory and build Merkle tree.\"\"\"\n        dir_path = Path(directory).absolute()\n        \n        # Collect all regular files with relative paths\n        files = []\n        for root, _, files_in_dir in os.walk(dir_path):\n            for filename in files_in_dir:\n                fi…)
turn 12 · tool · terminal
{"output": "Merkle tree built successfully.\nRoot hash: 93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\nScanned directory: /app/test_data\nFiles processed: 4", "exit_code": 0, "error": null}
turn 12 · assistant 6.3s api
Now let's test the scan command again:
→ terminal({"command": "cd /app && python merkle_cli.py scan test_data"})
turn 13 · tool · read_file
{"content": "     1|{\n     2|  \"root_hash\": \"93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\",\n     3|  \"proofs\": {\n     4|    \"file1.txt\": [\n     5|      [\n     6|        \"left\",\n     7|        \"file1.txt\"\n     8|      ],\n     9|      [\n    10|        \"left\",\n    11|        \"file3.txt\"\n    12|      ],\n    13|      [\n    14|        \"left\",\n    15|        \"cc0d85ae0fec2f18c2e44c2545dbb633cc94495b985dbe9557903dc36e57d6a1c0c41044e7870f23dd8fd1e3f72500897e54bf18fcbaf965440e5b5b2bec4c72\"\n    16|      ]\n    17|    ],\n    18|    \"file2.txt\": [\n    19|      [\n    20|        \"left\",\n    21|        \"file1.txt\"\n    22|      ],\n    23|      [\n    24|        \"left\",\n    25|        \"file3.txt\"\n    26|      ],\n    27|      [\n    28|        \"left\",\n    29|        \"cc0d85ae0fec2f18c2e44c2545dbb633cc94495b985dbe9557903dc36e57d6a1c0c41044e7870f23dd8fd1e3f72500897e54bf18fcbaf965440e5b5b2bec4c72\"\n    30|      ]\n    31|    ],\n    32|    \"file3.txt\": [\n    33|      [\n    34|        \"left\",\n    35|        \"file1.txt\"\n    36|      ],\n    37|      [\n    38|        \"left\",\n    39|        \"file3.txt\"\n    40|      ],\n    41|      [\n    42|        \"left\",\n    43|        \"cc0d85ae0fec2f18c2e44c2545dbb633cc94495b985dbe9557903dc36e57d6a1c0c41044e7870f23dd8fd1e3f72500897e54bf18fcbaf965440e5b5b2bec4c72\"\n    44|      ]\n    45|    ],\n    46|    \"subdir/nested.txt\": [\n    47|      [\n    48|        \"left\",\n    49|        \"file1.txt\"\n    50|      ],\n    51|      [\n    52|        \"left\",\n    53|        \"file3.txt\"\n    54|      ],\n    55|      [\n    56|        \"left\",\n    57|        \"cc0d85ae0fec2f18c2e44c2545dbb633cc94495b985dbe9557903dc36e57d6a1c0c41044e7870f23dd8fd1e3f72500897e54bf18fcbaf965440e5b5b2bec4c72\"\n    58|      ]\n    59|    ]\n    60|  },\n    61|  \"file_hashes\": {\n    62|    \"file1.txt\": \"fd27f48886079931187e4737fcf4d1c6b3172235f65226de3af11c3e6df527138eda5062a473a7c876c71e9920780814dc7ea3260e4eb12141df0b4a40777a5d\",\n    63|    \"file2.txt\": \"1d4322126e4b2b8f59ab7953b3be0486baffa82a5169982c9fd192ee87f7c799f2259c15c8e4d6295bc6c12de9ae11982ff3ea21e8d5ba55eab2cc7404aa5e00\",\n    64|    \"file3.txt\": \"07999956299510fdcec10cf70a43a874c3f04c099df11694e3a7233071c84b59472a3c2a32691d1f0fda38b6c241cb2e48e62b4e9dce88e3067bd0f142b08632\",\n    65|    \"subdir/nested.txt\": \"021c7f8b724cad5eee13ebcac73913a82602f8a0fd93b7d19a868b1cc77f7f2c18fda1eb8a865534876afc907c2d37c7da7e856d9874fd238dd21e4a61699508\"\n    66|  },\n    67|  \"scanned_directory\": \"/app/test_data\"\n    68|}", "total_lines": 67, "file_size": 2055, "truncated": false, "is_binary": false, "is_image": false}
turn 13 · assistant 5.5s api
Great! Now let's check the generated merkle_data.json file:
→ read_file({"path": "/app/merkle_data.json"})
turn 14 · tool · patch
{"success": true, "diff": "--- a//app/merkle_cli.py\n+++ b//app/merkle_cli.py\n@@ -93,31 +93,39 @@\n         \n         proof = []\n         current_hash = self.leaf_hashes[file_path]\n-        current_paths = [file_path]\n-        \n-        # Rebuild the tree structure to find siblings\n-        current_level = self.leaf_hashes.copy()\n-        \n-        while len(current_level) > 1:\n-            next_level = {}\n+        \n+        # Get ordered list of hashes\n+        ordered_hashes = [self.leaf_hashes[fp] for fp in self.file_paths]\n+        \n+        # Find the index of our file in the ordered list\n+        current_index = self.file_paths.index(file_path)\n+        \n+        # Build the tree and collect siblings\n+        current_level_hashes = ordered_hashes.copy()\n+        current_level_indices = list(range(len(ordered_hashes)))\n+        \n+        while len(current_level_hashes) > 1:\n+            next_level_hashes = []\n+            next_level_indices = []\n             \n             # Process pairs of hashes\n-            items = list(current_level.items())\n-            for i in range(0, len(items), 2):\n-                if i + 1 < len(items):\n+            for i in range(0, len(current_level_hashes), 2):\n+                if i + 1 < len(current_level_hashes):\n                     # Pair hashes\n-                    hash1, path1 = items[i]\n-                    hash2, path2 = items[i + 1]\n-                    \n-                    # Determine which path is in our current path\n-                    if path1 in current_paths:\n+                    hash1 = current_level_hashes[i]\n+                    hash2 = current_level_hashes[i + 1]\n+                    idx1 = current_level_indices[i]\n+                    idx2 = current_level_indices[i + 1]\n+                    \n+                    # Determine which hash is our current hash\n+                    if idx1 == current_index:\n                         sibling_hash = hash2\n                         sibling_position = \"right\"\n-                        current_paths.append(path2)\n+                        current_hash = hash1\n                     else:\n                         sibling_hash = hash1\n                         sibling_position = \"left\"\n-                        current_paths.append(path1)\n+                        current_hash = hash2\n                     \n                     # Add sibling to proof\n                     proof.append((sibling_position, sibling_hash))\n@@ -125,21 +133,22 @@\n                     # Compute combined hash\n                     combined = hash1 + hash2\n                     node_hash = hashlib.sha512(combined.encode('utf-8')).hexdigest()\n-                    next_level[node_hash] = None  # Internal node\n-                    \n-                    # Update current hash\n-                    current_hash = node_hash\n+                    next_level_hashes.append(node_hash)\n+                    next_level_indices.append(None)  # Internal node\n                 else:\n                     # Odd number of hashes, duplicate the last one\n-                    hash1, path1 = items[i]\n-                    \n-                    # Determine which path is in our current path\n-                    if path1 in current_paths:\n+                    hash1 = current_level_hashes[i]\n+                    idx1 = current_level_indices[i]\n+                    \n+                    # Determine which hash is our current hash\n+                    if idx1 == current_index:\n                         sibling_hash = hash1\n                         sibling_position = \"right\"\n+                        current_hash = hash1\n                     else:\n                         sibling_hash = hash1\n                         sibling_position = \"left\"\n+                        current_hash = hash1\n                     \n                     # Add sibling to proof\n                     proof.append((sibling_position, sibling_hash
turn 14 · assistant 218.8s api
I notice there's an issue with the proofs. They seem to be including file paths instead of hashes. Let me fix the proof generation logic:
→ patch({"path": "/app/merkle_cli.py", "old_string": "    def generate_proof(self, file_path: str) -> List[Tuple[str, str]]:\n        \"\"\"Generate Merkle proof for a file.\"\"\"\n        if file_path not in self.leaf_hashes:\n            raise ValueError(f\"File {file_path} not found in Merkle tree\")\n        \n        proof = []\n        current_hash = self.leaf_hashes[file_path]\n        current_path…)
turn 15 · tool · terminal
{"output": "Merkle tree built successfully.\nRoot hash: 93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\nScanned directory: /app/test_data\nFiles processed: 4", "exit_code": 0, "error": null}
turn 15 · assistant 6.6s api
Now let's test the scan again to regenerate the data:
→ terminal({"command": "cd /app && python merkle_cli.py scan test_data"})
turn 16 · tool · read_file
{"content": "     1|{\n     2|  \"root_hash\": \"93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\",\n     3|  \"proofs\": {\n     4|    \"file1.txt\": [\n     5|      [\n     6|        \"right\",\n     7|        \"1d4322126e4b2b8f59ab7953b3be0486baffa82a5169982c9fd192ee87f7c799f2259c15c8e4d6295bc6c12de9ae11982ff3ea21e8d5ba55eab2cc7404aa5e00\"\n     8|      ],\n     9|      [\n    10|        \"left\",\n    11|        \"07999956299510fdcec10cf70a43a874c3f04c099df11694e3a7233071c84b59472a3c2a32691d1f0fda38b6c241cb2e48e62b4e9dce88e3067bd0f142b08632\"\n    12|      ],\n    13|      [\n    14|        \"left\",\n    15|        \"2395df47c54a94d167011bd3e59e3912c2dc75286ca0473ee4902b485b0d09cea9cca1f283146bf89a4e9656dd0347a42a6ccd6c4f8c5b3b6a4f9b313ad22b00\"\n    16|      ]\n    17|    ],\n    18|    \"file2.txt\": [\n    19|      [\n    20|        \"left\",\n    21|        \"fd27f48886079931187e4737fcf4d1c6b3172235f65226de3af11c3e6df527138eda5062a473a7c876c71e9920780814dc7ea3260e4eb12141df0b4a40777a5d\"\n    22|      ],\n    23|      [\n    24|        \"left\",\n    25|        \"07999956299510fdcec10cf70a43a874c3f04c099df11694e3a7233071c84b59472a3c2a32691d1f0fda38b6c241cb2e48e62b4e9dce88e3067bd0f142b08632\"\n    26|      ],\n    27|      [\n    28|        \"left\",\n    29|        \"2395df47c54a94d167011bd3e59e3912c2dc75286ca0473ee4902b485b0d09cea9cca1f283146bf89a4e9656dd0347a42a6ccd6c4f8c5b3b6a4f9b313ad22b00\"\n    30|      ]\n    31|", "total_lines": 67, "file_size": 3009, "truncated": true, "hint": "Use offset=31 to continue reading (showing 1-30 of 67 lines)", "is_binary": false, "is_image": false}
turn 16 · assistant 4.0s api
→ read_file({"path": "/app/merkle_data.json", "limit": 30})
turn 17 · tool · terminal
{"output": "{\n  \"file_path\": \"file1.txt\",\n  \"proof\": [\n    [\n      \"right\",\n      \"1d4322126e4b2b8f59ab7953b3be0486baffa82a5169982c9fd192ee87f7c799f2259c15c8e4d6295bc6c12de9ae11982ff3ea21e8d5ba55eab2cc7404aa5e00\"\n    ],\n    [\n      \"left\",\n      \"07999956299510fdcec10cf70a43a874c3f04c099df11694e3a7233071c84b59472a3c2a32691d1f0fda38b6c241cb2e48e62b4e9dce88e3067bd0f142b08632\"\n    ],\n    [\n      \"left\",\n      \"2395df47c54a94d167011bd3e59e3912c2dc75286ca0473ee4902b485b0d09cea9cca1f283146bf89a4e9656dd0347a42a6ccd6c4f8c5b3b6a4f9b313ad22b00\"\n    ]\n  ]\n}", "exit_code": 0, "error": null}
turn 17 · assistant 8.0s api
Good! Now the proofs contain actual hash values instead of file paths. Let's test the proof command:
→ terminal({"command": "cd /app && python merkle_cli.py proof file1.txt"})
turn 18 · tool · terminal
{"output": "", "exit_code": 0, "error": null}
turn 18 · assistant 9.1s api
Perfect! Now let's test the verify command. First, let's save the proof to a file:
→ terminal({"command": "cd /app && python merkle_cli.py proof file1.txt > proof_file1.json"})
turn 19 · tool · terminal
{"output": "Verification failed!\nFile: /app/test_data/file1.txt\nReconstructed root does NOT match stored root\nReconstructed root: 34e17b94684fdd13d7a6a4c4d4c1abb96e44e2f65f8b16e5227b5723755cc334f57ceb824dd1d2811782c2a0476201bb6f2012199fad797753cdf86813a7a2a8\nStored root: 93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\n{\n  \"root_matches\": false,\n  \"file_hash_matches_storage\": true,\n  \"file_in_original_scan\": true,\n  \"reconstructed_root\": \"34e17b94684fdd13d7a6a4c4d4c1abb96e44e2f65f8b16e5227b5723755cc334f57ceb824dd1d2811782c2a0476201bb6f2012199fad797753cdf86813a7a2a8\",\n  \"stored_root\": \"93e659d19f7253346fe9a8da01b0645d63c2450423436a65a339ca77778727ff4f2e6d71cea7351be14cd2d73726a8dd1b7341343d059216d8767f60954e6fba\",\n  \"current_file_hash\": \"fd27f48886079931187e4737fcf4d1c6b3172235f65226de3af11c3e6df527138eda5062a473a7c876c71e9920780814dc7ea3260e4eb12141df0b4a40777a5d\",\n  \"expected_file_hash\": \"fd27f48886079931187e4737fcf4d1c6b3172235f65226de3af11c3e6df527138eda5062a473a7c876c71e9920780814dc7ea3260e4eb12141df0b4a40777a5d\",\n  \"file_path\": \"/app/test_data/file1.txt\",\n  \"proof_file\": \"proof_file1.json\"\n}", "exit_code": 1, "error": null}
turn 19 · assistant 6.2s api
→ terminal({"command": "cd /app && python merkle_cli.py verify file1.txt proof_file1.json"})