generated from coulomb/repo-seed
chore(consistency): sync task status from DB [auto]
Updated by fix-consistency on 2026-05-07: - update .custodian-brief.md for open-cmis-tck
This commit is contained in:
146
src/open_cmis_tck/profile.py
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146
src/open_cmis_tck/profile.py
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"""CMIS-specific profile diagnostics for guide-board target profiles."""
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from __future__ import annotations
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from typing import Any
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from urllib.parse import urlparse
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KNOWN_CMIS_REQUIREMENTS = {
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"cmis.repository-info",
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"cmis.type-definitions",
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"cmis.object-services",
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"cmis.content-streams",
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"cmis.navigation-services",
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"cmis.query",
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"cmis.relationships",
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"cmis.acl",
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"cmis.policies",
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"cmis.versioning",
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"cmis.change-log",
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"cmis.extensions",
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}
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def validate_cmis_profile_config(
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target_profile: dict[str, Any],
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assessment_profile: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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"""Return actionable CMIS diagnostics for guide-board profiles.
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The generic guide-board target profile remains the persisted contract. This
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helper explains how the OpenCMIS extension interprets those generic fields.
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"""
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diagnostics: list[dict[str, str]] = []
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browser_endpoints = [
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endpoint
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for endpoint in target_profile.get("endpoints", [])
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if endpoint.get("binding") == "cmis-browser"
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]
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if target_profile.get("subject_type") != "cmis-browser-binding-endpoint":
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diagnostics.append(
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_diagnostic(
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"warning",
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"subject_type",
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"CMIS targets should use subject_type 'cmis-browser-binding-endpoint'.",
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)
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)
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if not browser_endpoints:
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diagnostics.append(
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_diagnostic(
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"error",
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"endpoints",
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"Add one endpoint with binding 'cmis-browser' and the Browser Binding service document URL.",
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)
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)
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for index, endpoint in enumerate(browser_endpoints):
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parsed = urlparse(str(endpoint.get("url", "")))
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if parsed.scheme not in {"http", "https"} or not parsed.netloc:
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diagnostics.append(
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_diagnostic(
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"error",
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f"endpoints[{index}].url",
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"Use an absolute http(s) CMIS Browser Binding URL.",
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)
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)
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declared = set(target_profile.get("declared_capabilities", []))
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unknown_declared = sorted(declared - KNOWN_CMIS_REQUIREMENTS)
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for requirement_ref in unknown_declared:
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diagnostics.append(
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_diagnostic(
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"warning",
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"declared_capabilities",
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f"Declared CMIS capability {requirement_ref!r} is not in the extension's known requirement list.",
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)
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)
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known_gap_refs = {
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requirement_ref
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for gap in target_profile.get("known_gaps", [])
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for requirement_ref in gap.get("requirement_refs", [])
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}
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unexpected_gap_refs = sorted(known_gap_refs - KNOWN_CMIS_REQUIREMENTS)
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for requirement_ref in unexpected_gap_refs:
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diagnostics.append(
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_diagnostic(
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"warning",
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"known_gaps",
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f"Known gap {requirement_ref!r} is not in the extension's known requirement list.",
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)
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)
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runtime_policy = (assessment_profile or {}).get("runtime_policy", {})
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opencmis_policy = runtime_policy.get("opencmis_tck", {})
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if opencmis_policy and not isinstance(opencmis_policy, dict):
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diagnostics.append(
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_diagnostic(
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"error",
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"runtime_policy.opencmis_tck",
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"OpenCMIS runtime policy must be an object when present.",
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)
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)
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opencmis_policy = {}
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timeout = runtime_policy.get("timeout_seconds")
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if assessment_profile is not None and not isinstance(timeout, (int, float)):
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diagnostics.append(
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_diagnostic(
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"warning",
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"runtime_policy.timeout_seconds",
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"Set timeout_seconds to bound preflight and TCK execution.",
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)
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)
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repository_id = None
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if isinstance(opencmis_policy, dict):
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repository_id = opencmis_policy.get("repository_id")
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if repository_id is not None and not isinstance(repository_id, str):
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diagnostics.append(
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_diagnostic(
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"error",
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"runtime_policy.opencmis_tck.repository_id",
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"repository_id must be a string when configured.",
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)
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)
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status = "invalid" if any(item["severity"] == "error" for item in diagnostics) else "valid"
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return {
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"status": status,
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"diagnostics": diagnostics,
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"cmis_config": {
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"browser_binding_url": browser_endpoints[0]["url"] if browser_endpoints else None,
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"repository_id": repository_id,
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"auth_mode": "anonymous" if target_profile.get("credentials_ref") is None else "credentials_ref",
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"declared_capabilities": sorted(declared),
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"known_gap_refs": sorted(known_gap_refs),
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"timeout_seconds": timeout,
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},
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}
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def _diagnostic(severity: str, field: str, message: str) -> dict[str, str]:
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return {"severity": severity, "field": field, "message": message}
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