resource pattern
This commit is contained in:
@@ -1,7 +1,14 @@
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id: fastapi-uv-docker
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name: FastAPI uv Docker
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version: 1.0.0
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description: Provide fast migration guidance to FastAPI plus uv plus Docker.
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tags:
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- fastapi
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- uv
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- docker
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capabilities:
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- resource://skills/fastapi_uv_docker/overview
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- resource://skills/fastapi_uv_docker/rules
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- resource://skills/fastapi_uv_docker/checklist
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- resource://skills/fastapi_uv_docker/references
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depends_on: []
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@@ -1,7 +1,79 @@
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from pathlib import Path
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from fastmcp import FastMCP
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fastapi_uv_docker_server = FastMCP("fastapi-uv-docker")
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_REFERENCE_DIR = (
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Path(__file__).resolve().parents[4]
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/ "skills"
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/ "fastapi-uv-docker"
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/ "references"
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)
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_REFERENCE_FILES = {
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"fastapi_best_practices": _REFERENCE_DIR / "fastapi-best-practices.md",
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"uv_project_layout": _REFERENCE_DIR / "uv-project-layout.md",
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"uvicorn_settings": _REFERENCE_DIR / "uvicorn-settings.md",
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"docker_cloud_native": _REFERENCE_DIR / "docker-cloud-native.md",
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}
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def _load_reference_bundle() -> dict[str, str]:
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bundle: dict[str, str] = {}
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for key, path in _REFERENCE_FILES.items():
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bundle[key] = path.read_text(encoding="utf-8")
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return bundle
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@fastapi_uv_docker_server.resource("resource://skills/fastapi_uv_docker/overview")
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def fastapi_overview() -> dict:
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"""Return high-level intent for FastAPI plus uv plus Docker migration."""
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return {
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"id": "fastapi-uv-docker",
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"intent": "Migrate projects toward cloud-native FastAPI architecture managed by uv.",
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"focus": [
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"src package layout",
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"uv-based dependency and lock management",
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"container-ready runtime conventions",
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],
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}
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@fastapi_uv_docker_server.resource("resource://skills/fastapi_uv_docker/rules")
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def fastapi_rules() -> dict:
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"""Return migration rules for stable FastAPI service architecture."""
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return {
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"rules": [
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"Prefer src layout and installable package boundaries.",
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"Use app factory and lifespan hooks for startup/shutdown ownership.",
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"Keep runtime configuration in environment-backed settings.",
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"Use uv lockfile and avoid drift between local and container environments.",
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]
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}
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@fastapi_uv_docker_server.resource("resource://skills/fastapi_uv_docker/checklist")
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def fastapi_checklist() -> dict:
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"""Return a compact migration checklist for FastAPI plus uv plus Docker."""
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return {
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"checklist": [
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"Audit current project manager, layout, and runtime settings.",
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"Establish uv project metadata and lockfile ownership.",
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"Implement app factory, lifespan, and health endpoints.",
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"Create multi-stage Docker image with non-root runtime user.",
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]
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}
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@fastapi_uv_docker_server.resource("resource://skills/fastapi_uv_docker/references")
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def fastapi_references() -> dict:
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"""Return bundled references for detailed implementation guidance."""
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return {
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"sources": {key: str(path) for key, path in _REFERENCE_FILES.items()},
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"format": "markdown",
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"content": _load_reference_bundle(),
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}
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@fastapi_uv_docker_server.tool()
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def fastapi_uv_docker_mvp_checklist(current_state: str = "bare python project") -> list[str]:
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@@ -1,7 +1,14 @@
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id: pytest-scaffolding
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name: Pytest Scaffolding
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version: 1.0.0
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description: Scaffold a maintainable pytest structure quickly.
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tags:
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- pytest
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- testing
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- python
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capabilities:
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- resource://skills/pytest_scaffolding/overview
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- resource://skills/pytest_scaffolding/rules
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- resource://skills/pytest_scaffolding/checklist
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- resource://skills/pytest_scaffolding/references
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depends_on: []
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@@ -1,7 +1,82 @@
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from pathlib import Path
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from fastmcp import FastMCP
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pytest_scaffolding_server = FastMCP("pytest-scaffolding")
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_REFERENCE_PATH = (
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Path(__file__).resolve().parents[4]
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/ "skills"
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/ "pytest-scaffolding"
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/ "references"
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/ "pytest-docs.md"
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)
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def _load_reference_text() -> str:
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return _REFERENCE_PATH.read_text(encoding="utf-8")
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@pytest_scaffolding_server.resource("resource://skills/pytest_scaffolding/overview")
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def pytest_overview() -> dict:
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"""Return the high-level intent and boundaries of this pattern module."""
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return {
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"id": "pytest-scaffolding",
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"intent": "Design maintainable pytest structure before deep test implementation.",
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"focus": [
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"hierarchical test layout",
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"dependency-aware fixture boundaries",
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"fast local feedback loops",
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],
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}
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@pytest_scaffolding_server.resource("resource://skills/pytest_scaffolding/rules")
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def pytest_rules() -> dict:
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"""Return method rules to keep test architecture consistent."""
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return {
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"rules": [
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"Mirror major source package boundaries under tests/.",
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"Use explicit markers for integration, smoke, and external tests.",
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"Keep global fixtures lightweight; place expensive fixtures in subtree conftest files.",
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"Prefer deterministic unit tests and isolate slow or external dependencies.",
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]
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}
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@pytest_scaffolding_server.resource("resource://skills/pytest_scaffolding/checklist")
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def pytest_checklist() -> dict:
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"""Return an execution checklist for first-pass test scaffolding."""
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return {
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"checklist": [
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"Map source modules to initial test modules.",
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"Classify each module as unit, integration, or smoke.",
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"Create baseline fixtures in tests/conftest.py.",
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"Register markers in pyproject.toml.",
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"Validate collection and run fast path first.",
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]
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}
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@pytest_scaffolding_server.resource("resource://skills/pytest_scaffolding/references")
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def pytest_references() -> dict:
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"""Return canonical reference material for this pattern module."""
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return {
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"source": str(_REFERENCE_PATH),
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"format": "markdown",
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"content": _load_reference_text(),
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}
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@pytest_scaffolding_server.prompt()
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def scaffold_pytest_prompt(target_scope: str = "src/") -> str:
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"""Prompt template for planning pytest scaffolding for a target scope."""
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return (
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"Create a minimal pytest scaffold plan. "
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f"Target scope: {target_scope}. "
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"Return directory mapping, marker suggestions, and the first three tests to write."
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)
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@pytest_scaffolding_server.tool()
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def propose_pytest_mvp_tree(target_scope: str = "src/") -> str:
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@@ -1,7 +1,14 @@
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id: python-logging-dictconfig
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name: Python Logging DictConfig
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version: 1.0.0
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description: Provide minimal logging.config.dictConfig setup guidance.
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tags:
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- logging
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- python
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- observability
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capabilities:
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- resource://skills/python_logging_dictconfig/overview
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- resource://skills/python_logging_dictconfig/rules
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- resource://skills/python_logging_dictconfig/checklist
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- resource://skills/python_logging_dictconfig/references
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depends_on: []
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@@ -1,7 +1,71 @@
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from pathlib import Path
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from fastmcp import FastMCP
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python_logging_dictconfig_server = FastMCP("python-logging-dictconfig")
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_REFERENCE_PATH = (
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Path(__file__).resolve().parents[4]
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/ "skills"
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/ "python-logging-dictconfig"
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/ "references"
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/ "python-logging-docs.md"
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)
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def _load_reference_text() -> str:
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return _REFERENCE_PATH.read_text(encoding="utf-8")
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@python_logging_dictconfig_server.resource("resource://skills/python_logging_dictconfig/overview")
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def logging_overview() -> dict:
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"""Return high-level purpose and intended outcomes for logging configuration."""
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return {
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"id": "python-logging-dictconfig",
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"intent": "Centralize Python logging setup with dictConfig during application startup.",
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"focus": [
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"single startup configuration",
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"consistent formatting and level policy",
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"named module loggers without local configuration",
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],
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}
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@python_logging_dictconfig_server.resource("resource://skills/python_logging_dictconfig/rules")
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def logging_rules() -> dict:
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"""Return implementation rules for predictable logging behavior."""
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return {
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"rules": [
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"Call dictConfig once at startup, not in leaf modules.",
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"Use logging.getLogger(__name__) in all modules.",
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"Avoid basicConfig in application packages.",
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"Set disable_existing_loggers to False unless intentional suppression is required.",
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]
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}
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@python_logging_dictconfig_server.resource("resource://skills/python_logging_dictconfig/checklist")
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def logging_checklist() -> dict:
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"""Return a startup checklist for logging configuration rollout."""
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return {
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"checklist": [
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"Define formatter, handlers, and root logger in one LOGGING dict.",
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"Wire configure_logging() in startup path only once.",
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"Verify expected output at DEBUG/INFO/WARNING/ERROR levels.",
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"Tune noisy third-party loggers intentionally.",
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]
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}
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@python_logging_dictconfig_server.resource("resource://skills/python_logging_dictconfig/references")
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def logging_references() -> dict:
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"""Return canonical reference material for dictConfig-based logging."""
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return {
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"source": str(_REFERENCE_PATH),
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"format": "markdown",
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"content": _load_reference_text(),
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}
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@python_logging_dictconfig_server.tool()
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def logging_dictconfig_template(level: str = "INFO") -> dict:
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