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Description
Hi,
I have a Python Lambda function fronted with a function URL. I am able to invoke it without issue using curl
or python requests.
Expected behaviour
Power tuning tool runs without error
Actual behaviour
When I try and run it through the power tuning tool, it always fails with an Invocation Error:
{
"cause": {
"errorType": "Error",
"trace": [
"Error: Invocation error (running in series): 123,34,101,114,114,111,114,77,101,115,115,97,103,101,34,58,32,34,91,69,114,114,110,111,32,49,51,93,32,80,101,114,109,105,115,115,105,111,110,32,100,101,110,105,101,100,58,32,39,47,118,97,114,47,116,97,115,107,47,109,97,105,110,46,112,121,39,34,44,32,34,101,11... with payload <redacted>",
" at runInSeries (/var/task/executor.js:167:19)",
" at process.processTicksAndRejections (node:internal/process/task_queues:95:5)",
" at async module.exports.handler (/var/task/executor.js:65:19)"
]
},
"error": "Error"
}
Note I've removed the errorMessage
item and truncated the list of numbers in the trace for brevity.
Looking at the actual invocation logs of my Lambda function, I am getting a PermissionError:
{
"timestamp": "2024-05-18T13:13:38Z",
"log_level": "ERROR",
"errorMessage": "[Errno 13] Permission denied: '/var/task/main.py'",
"errorType": "PermissionError",
"requestId": "",
"stackTrace": [
" File \"/var/lang/lib/python3.12/importlib/__init__.py\", line 90, in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n",
" File \"<frozen importlib._bootstrap>\", line 1387, in _gcd_import\n",
" File \"<frozen importlib._bootstrap>\", line 1360, in _find_and_load\n",
" File \"<frozen importlib._bootstrap>\", line 1331, in _find_and_load_unlocked\n",
" File \"<frozen importlib._bootstrap>\", line 935, in _load_unlocked\n",
" File \"<frozen importlib._bootstrap_external>\", line 991, in exec_module\n",
" File \"<frozen importlib._bootstrap_external>\", line 1128, in get_code\n",
" File \"<frozen importlib._bootstrap_external>\", line 1186, in get_data\n"
]
}
Fixes attempted
I have tried to modify the file/directory permissions using chmod
but that did not resolve anything, as described in this SO issue.
Environment
- MacOS
- The function is bundled, zipped and deployed with Python CDK.
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