[AZ-180] Enhance setup and improve inference logging

- Added a new Cython extension for the engine factory to the setup configuration.
- Updated the inference module to include additional logging for video batch processing and annotation callbacks.
- Refactored test cases to standardize the detection endpoint responses and include channel IDs in headers for better event handling.
This commit is contained in:
Oleksandr Bezdieniezhnykh
2026-04-03 05:58:55 +03:00
parent 8baa96978b
commit 834f846dc8
9 changed files with 64 additions and 38 deletions
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@@ -31,3 +31,20 @@ When the user reacts negatively to generated code ("WTF", "what the hell", "why
**Preventive rules added to coderule.mdc**:
- "Do not solve environment or infrastructure problems by hardcoding workarounds in source code. Fix them at the environment/configuration level."
- "Before writing new infrastructure or workaround code, check how the existing codebase already handles the same concern. Follow established project patterns."
## Debugging Over Contemplation
When the root cause of a bug is not clear after ~5 minutes of reasoning, analysis, and assumption-making — **stop speculating and add debugging logs**. Observe actual runtime behavior before forming another theory. The pattern to follow:
1. Identify the last known-good boundary (e.g., "request enters handler") and the known-bad result (e.g., "callback never fires").
2. Add targeted `print(..., flush=True)` or log statements at each intermediate step to narrow the gap.
3. Read the output. Let evidence drive the next step — not inference chains built on unverified assumptions.
Prolonged mental contemplation without evidence is a time sink. A 15-minute instrumented run beats 45 minutes of "could it be X? but then Y... unless Z..." reasoning.
## Long Investigation Retrospective
When a problem takes significantly longer than expected (>30 minutes), perform a post-mortem before closing out:
1. **Identify the bottleneck**: Was the delay caused by assumptions that turned out wrong? Missing visibility into runtime state? Incorrect mental model of a framework or language boundary?
2. **Extract the general lesson**: What category of mistake was this? (e.g., "Python cannot call Cython `cdef` methods", "engine errors silently swallowed", "wrong layer to fix the problem")
3. **Propose a preventive rule**: Formulate it as a short, actionable statement. Present it to the user for approval.
4. **Write it down**: Add the approved rule to the appropriate `.mdc` file so it applies to all future sessions.
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@@ -17,3 +17,5 @@ globs: ["**/*.py", "**/*.pyx", "**/*.pxd", "**/pyproject.toml", "**/requirements
## Cython
- In `cdef class` methods, prefer `cdef` over `cpdef` unless the method must be callable from Python. `cdef` = C-only (fastest), `cpdef` = C + Python, `def` = Python-only. Check all call sites before choosing.
- **Python cannot call `cdef` methods.** If a `.py` file needs to call a `cdef` method on a Cython object, there are exactly two options: (a) convert the calling file to `.pyx`, `cimport` the class, and use a typed parameter so Cython dispatches the call at the C level; or (b) change the method to `cpdef` if it genuinely needs to be callable from both Python and Cython. Never leave a bare `except Exception: pass` around such a call — it will silently swallow the `AttributeError` and make the failure invisible for a very long time.
- When converting a `.py` file to `.pyx` to gain access to `cdef` methods: add the new extension to `setup.py`, add a `cimport` of the relevant `.pxd`, type the parameter(s) that carry the Cython object, and delete the old `.py` file. This ensures the cross-language call is resolved at compile time, not at runtime.