π£ Tech Debt¶
This is a (likely incomplete) list of hacks present in the TruLens library. They are likely a source of debugging problems, so ideally they can be addressed/removed in time. This document is to serve as a warning in the meantime and a resource for hard-to-debug issues when they arise.
In the notes below, "HACK###" can be used to find places in the code where the hack lives.
Stack inspecting¶
See instruments.py docstring for a discussion of why these are done.
-
Stack walking removed in favor of contextvars in 1.0.3. We inspect the call stack in the process of tracking method invocation. It may be possible to replace this with
contextvars. -
"HACK012" -- In the optional imports scheme, we have to ensure that imports from outside of TruLens raise exceptions instead of producing dummy objects silently.
Method overriding¶
See instruments.py docstring for discussion why these are done.
-
We override and wrap methods from other libraries to track their invocation or API use. Overriding for tracking invocation is done in the base
instruments.py:Instrumentclass, while overriding for tracking costs is done in the baseEndpointclass. -
"HACK009" -- Cannot reliably determine whether a function referred to by an object that implements
__call__has been instrumented. Hacks to avoid warnings about lack of instrumentation.
Thread overriding¶
See instruments.py docstring for discussion why these are done.
-
"HACK002" -- We override
ThreadPoolExecutorinconcurrent.futures. -
"HACK007" -- We override
Threadinthreading.
LlamaIndex¶
- Fixed as of llama_index 0.9.26 or near there. "HACK001" --
trace_methoddecorator in llama_index does not preserve function signatures; we hack it so that it does.
LangChain¶
- "HACK003" -- We override the base class of
langchain_core.runnables.config.ContextThreadPoolExecutorso that it uses our thread starter.
Pydantic¶
-
"HACK006" --
endpointneeds to be added as a keyword arg with default value in some__init__methods because Pydantic would otherwise override the signature without a default value. -
"HACK005" --
model_validateinsideWithClassInfois implemented in decorated method because Pydantic doesn't call it otherwise. It is uncertain whether this is a Pydantic bug. -
We dump attributes marked to be excluded by Pydantic except our own classes. This is because some objects are of interest despite being marked to exclude. Example:
RetrievalQA.retrieverin LangChain.
Other¶
-
"HACK004" -- Outdated, need investigation whether it can be removed.
-
Partially fixed with asynchro module: async/sync code duplication -- Many of our methods are almost identical duplicates due to supporting both async and sync versions. Having trouble with a working approach to de-duplicated the identical code.
-
Fixed in endpoint code: "HACK008" -- async generator -- We implement special handling to track costs when async generators are involved. See
feedback/provider/endpoint/base.py. -
"HACK010" -- We cannot tell whether something is a coroutine and therefore need additional checks in
sync/desync. -
"HACK011" -- older versions of Python don't allow the use of
Futureas a type constructor in annotations. We define a dummy typeFuturein older versions of Python to circumvent this but have to selectively import it to make sure type checking and mkdocs is done right. -
"HACK012" -- same but with
Queue. -
Similarly, we define
NoneTypefor older Python versions that don't include it natively. -
"HACK013" -- when using
from __future__ import annotationsfor more convenient type annotation specification, one may have to call Pydantic'sBaseModel.model_rebuildafter all types references in annotations in that file have been defined for each model class that uses type annotations that reference types defined after its own definition (i.e. "forward refs"). -
"HACK014" -- cannot
from trulens import schemain some places due to strange interaction with Pydantic. Results in:AttributeError: module 'pydantic' has no attribute 'v1'It might be some interaction with
from __future__ import annotationsand/orOptionalImports.