Low-level Rust-backed Python module for CodeTracer recording (PyO3)
Project description
Codetracer Python Recorder
codetracer-python-recorder is the Rust-backed recorder module that powers Python
tracing inside Codetracer. The PyO3 extension exposes a small Python façade so
packaged environments (desktop bundles, uv run, virtualenvs) can start and stop
recording without shipping an additional interpreter.
Installation
codetracer-python-recorder publishes binary wheels for CPython 3.12 and 3.13 on
Linux (manylinux2014 x86_64/aarch64), macOS 11+ universal2 (arm64 + x86_64),
and Windows 10+ (win_amd64). Install the package into the interpreter you plan to
trace:
python -m pip install codetracer-python-recorder
Source distributions are available for audit and custom builds; maturin and a Rust toolchain are required when building from source.
Command-line entry point
The wheel installs a console script named codetracer-python-recorder and the
package can also be invoked with python -m codetracer_python_recorder. Both
forms share the same arguments:
python -m codetracer_python_recorder \
--trace-dir ./trace-out \
--format json \
--activation-path app/main.py \
--trace-filter config/trace-filter.toml \
app/main.py --arg=value
--trace-dir(default:./trace-out) – directory that will receivetrace.json,trace_metadata.json, andtrace_paths.json.--format– trace serialisation format (binaryorjson). Usejsonfor integration with the DB backend importer.--activation-path– optional gate that postpones tracing until the interpreter executes this file (defaults to the target script).--trace-filter– path to a filter file. Provide multiple times or use::separators within a single argument to build a chain. When present, the recorder prepends the project default.codetracer/trace-filter.toml(if found near the target script) so later entries override the defaults. TheCODETRACER_TRACE_FILTERenvironment variable accepts the same::-separated syntax when using the auto-start hook.
All additional arguments are forwarded to the target script unchanged. The CLI
reuses whichever interpreter launches it so wrappers such as uv run, pipx,
or activated virtual environments behave identically to python script.py.
Trace filter configuration
- Filter files are TOML with
[meta],[scope], and[[scope.rules]]tables. Rules evaluate in declaration order and can tweak both execution (exec) and value decisions (value_default). - Supported selector domains:
pkg,file,objfor scopes;local,global,arg,ret,attrfor value policies. Match types default togloband also acceptregexorliteral(e.g.local:regex:^(metric|masked)_\w+$). - Default discovery:
.codetracer/trace-filter.tomlnext to the traced script. Chain additional files via CLI (--trace-filter path_a --trace-filter path_b), environment variable (CODETRACER_TRACE_FILTER=path_a::path_b), or Python helpers (trace(..., trace_filter=[path_a, path_b])). Later entries override earlier ones when selectors overlap. - A built-in
builtin-defaultfilter is always prepended. It skips CPython standard-library frames (e.g.asyncio,threading,importlib) while re-enabling third-party packages undersite-packages(except helpers such as_virtualenv.py), and redacts common secrets (password,token, API keys, etc.) across locals/globals/args/returns/attributes. Project filters can loosen or tighten these defaults as required. - Runtime metadata captures the active chain under
trace_metadata.json -> trace_filter, including per-kind redaction and drop counters. Seedocs/onboarding/trace-filters.mdfor the full DSL reference and examples.
Example snippet:
[meta]
name = "local-redaction"
version = 1
[scope]
default_exec = "trace"
default_value_action = "allow"
[[scope.rules]]
selector = "pkg:my_app.services.*"
value_default = "redact"
[[scope.rules.value_patterns]]
selector = "local:glob:public_*"
action = "allow"
[[scope.rules.value_patterns]]
selector = 'local:regex:^(metric|masked)_\w+$'
action = "allow"
[[scope.rules.value_patterns]]
selector = "arg:literal:debug_payload"
action = "drop"
Trace naming semantics
- Module-level activations no longer appear as the ambiguous
<module>label. When the recorder seesco_qualname == "<module>", it first reuses the frame's__name__, then falls back to trace-filter hints,sys.pathroots, and package markers so scripts report<__main__>while real modules keep their dotted names (e.g.,<my_pkg.mod>or<boto3.session>). - The globals-derived naming flow ships enabled by default; disable it temporarily with
--no-module-name-from-globals,codetracer.configure_policy(module_name_from_globals=False), orCODETRACER_MODULE_NAME_FROM_GLOBALS=0if you need to compare against the legacy resolver. - The angle-bracket convention remains for module entries so downstream tooling can distinguish top-level activations at a glance.
- Traces will still emit
<module>for synthetic filenames (<stdin>,<string>), frozen/importlib bootstrap frames, or exotic loaders that omit filenames entirely. This preserves previous behaviour when no reliable name exists.
Packaging expectations
Desktop installers add the wheel to PYTHONPATH before invoking the user’s
interpreter. When embedding the recorder elsewhere, ensure the wheel (or its
extracted site-packages directory) is discoverable on sys.path and run the CLI
with the interpreter you want to trace.
The CLI writes recorder metadata into trace_metadata.json describing the wheel
version, target script, and diff preference so downstream tooling can make
decisions without re-running the trace.
Development benchmarks
- Rust microbench:
cargo bench --bench trace_filter --no-default-featuresexercises baseline, glob-heavy, and regex-heavy selector chains. - Python smoke benchmark:
pytest codetracer-python-recorder/tests/python/perf/test_trace_filter_perf.py -qwhen the environment variableCODETRACER_TRACE_FILTER_PERF=1is set. - Run both together with
just bench. The helper seeds a virtualenv, runs Criterion, then executes the Python smoke test while writingtarget/perf/trace_filter_py.json(per-scenario durations plus redaction/drop statistics).
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