Feature/sanitize jsons

[allanbolipata]

Let's have everyone sign off on this before merging.

This contains small PR from #1534, so let's merge that first.

Summary

• Replaced patient IDs, project IDs, person names, and email addresses across ~130 fixture JSON files, test Python files, and operator reference JSON files with clearly dummy values
• Renamed fixture files on disk to match sanitized project IDs (e.g., 100XX_D → 99990_D)
• All 286 tests pass (0 failures, 0 errors, 2 pre-existing skips)

What was sanitized

Category	Example (before → after)
Patient IDs	C-123456 → C-PPPPP3
Project/Request IDs	100XX_D → 99990_D
Email addresses	*@mskcc.org → *@example.org
Person names	John Smith → Lab Head B

What was preserved

• Public identifiers: MSKCC sequencing center, gene panel names (IMPACT468, HemePACT_v4), public GitHub URLs
• Sanitized IDs respect format constraints enforced by PRIMARY_ID_REGEX (e.g., single-letter project suffixes must be [B-Z], not A)
• Hyphen/underscore structure in sample names preserved for operator parsing compatibility (e.g., DONOR00-TP keeps the hyphen that operators split on)

Key fixes during sanitization

• patient.cmo fields in DMP metadata use bare patient IDs without the C- prefix — these required separate replacement from the C-XXXXX form
• Fixture filenames needed renaming in addition to content replacement (Django loaddata resolves fixtures by filename)
• Added BEAGLE_FASTQ_DEFAULT_LOCATION_PREFIX and BEAGLE_FASTQ_IRIS_LOCATION_PREFIX to .env.local to fix pre-existing test failures unrelated to sanitization