[sqlserver] Add legacy schema collection integration coverage

[lu-zhengda]

What

Adds integration coverage for the legacy SQL Server schema collection path by forcing STATIC_INFO_MAJOR_VERSION to 13 while running SQLServerSchemaCollector.collect_schemas() against the real SQL Server fixture database.

The test captures the emitted DBM schema metadata and asserts that the legacy path returns real table details, including columns, indexes, partition counts, and foreign keys.

Why

The CI matrix does not include a pre-2017 SQL Server instance, so the legacy schema path needs explicit forced-path coverage to catch crashes or regressions in the real collector flow.

[codecov]

Codecov Report

❌ Patch coverage is 98.00000% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.41%. Comparing base (3fb0c5c) to head (a2b3e1a).
⚠️ Report is 15 commits behind head on master.

Additional details and impacted files

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[datadog-official]

✨ Fix all issues with BitsAI or with Cursor

⚠️ Warnings

❄️ 1 New flaky test detected

test_collect_schemas_pre_2017_collects_table_details from test_schemas.py     (Fix with Cursor)

RetryError[<Future at 0x7f630d192350 state=finished raised SubprocessError>]

ℹ️ Info

No other issues found (see more)

🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 91.67%
• Overall Coverage: 90.06%

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[dd-octo-sts]

Validation Report

All 20 validations passed.

Show details

Validation	Description	Status
agent-reqs	Verify check versions match the Agent requirements file	✅
ci	Validate CI configuration and Codecov settings	✅
codeowners	Validate every integration has a CODEOWNERS entry	✅
config	Validate default configuration files against spec.yaml	✅
dep	Verify dependency pins are consistent and Agent-compatible	✅
http	Validate integrations use the HTTP wrapper correctly	✅
imports	Validate check imports do not use deprecated modules	✅
integration-style	Validate check code style conventions	✅
jmx-metrics	Validate JMX metrics definition files and config	✅
labeler	Validate PR labeler config matches integration directories	✅
legacy-signature	Validate no integration uses the legacy Agent check signature	✅
license-headers	Validate Python files have proper license headers	✅
licenses	Validate third-party license attribution list	✅
metadata	Validate metadata.csv metric definitions	✅
models	Validate configuration data models match spec.yaml	✅
openmetrics	Validate OpenMetrics integrations disable the metric limit	✅
package	Validate Python package metadata and naming	✅
readmes	Validate README files have required sections	✅
saved-views	Validate saved view JSON file structure and fields	✅
version	Validate version consistency between package and changelog	✅

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