Sportstime/.planning/phases/06-validation-reports/06-01-SUMMARY.md

06-01 Summary: Validation Reports

What Was Done

Task 1: Comprehensive Validation Command (--validate)

Added validate_all() function and --validate flag that performs:

1. Local Data Validation - Uses existing validate_canonical.py functions:

   • Duplicate ID detection
   • Required field validation
   • Team → Stadium reference validation
   • Game → Team/Stadium reference validation
   • Cross-sport reference checks
   • Stadium alias reference validation

2. CloudKit Relationship Validation (when connected):

   • Games referencing non-existent teams in CloudKit
   • Games referencing non-existent stadiums in CloudKit
   • Teams referencing non-existent stadiums in CloudKit
   • Aliases referencing non-existent stadiums in CloudKit

3. Sync Status - Leverages existing compute_diff():

   • Records only in local (not uploaded)
   • Records only in CloudKit (orphans)
   • Records in both

4. Output:

   • Structured console report
   • JSON export via --output FILE
   • Menu option 16 for interactive mode

Task 2: Orphan Listing and Completeness Metrics (--list-orphans)

Added list_orphans() function and --list-orphans flag that shows:

1. Orphan Listing (non-destructive):

   • Groups orphans by type (Stadium, Team, Game, StadiumAlias, TeamAlias)
   • Shows first 10 of each type with canonicalId/name
   • Shows total count per type

2. Data Completeness Metrics:

   • Stadiums: % with coordinates, % with capacity, % with year_opened, count of unknown stadiums
   • Teams: % with valid stadium reference
   • Games: % with resolved home/away teams, % with resolved stadium

3. Health Score (0-100):

   • Base: Average completeness across key metrics
   • Penalty: -2 points per orphan (max -30)
   • Penalty: -1 per unknown stadium (max -10)
   • Status: EXCELLENT (≥90), GOOD (≥70), FAIR (≥50), NEEDS ATTENTION (<50)

4. Actionable Recommendations:

   • Suggests deleting orphans with --smart-sync --delete-orphans
   • Identifies missing coordinates/capacity
   • Flags unresolved references

Sample Validation Output

============================================================
Comprehensive Data Validation Report
============================================================

Local data loaded:
  Stadiums: 178
  Teams: 180
  Games: 5760
  Stadium aliases: 259
  Team aliases: 76

------------------------------------------------------------
SECTION 1: Local Data Validation
------------------------------------------------------------
Running validation checks...

  ✓ Local data VALID
  Errors: 0
  Warnings: 0

------------------------------------------------------------
SECTION 2: CloudKit Relationship Validation
------------------------------------------------------------
  [CloudKit checks when connected]

------------------------------------------------------------
SECTION 3: Sync Status
------------------------------------------------------------
  [Comparison when connected]

============================================================
VALIDATION SUMMARY
============================================================

  Local validation: ✓ PASSED
  CloudKit references: ✓ PASSED (or N/A if not connected)

Sample Orphan Report Output

============================================================
Orphan Records & Data Quality Report
============================================================

------------------------------------------------------------
SECTION 1: Orphan Records (in CloudKit but not in local data)
------------------------------------------------------------

  Stadium: 0 orphan(s)
  Team: 0 orphan(s)
  Game: 0 orphan(s)
  ...

  ✓ No orphan records found

------------------------------------------------------------
SECTION 2: Data Completeness Metrics
------------------------------------------------------------

  Stadiums (178 total):
    With coordinates: 178 (100.0%)
    With capacity: 175 (98.3%)
    With year_opened: 170 (95.5%)
    Unknown stadiums: 0

  Teams (180 total):
    With valid stadium ref: 180 (100.0%)

  Games (5760 total):
    With resolved home team: 5760 (100.0%)
    With resolved away team: 5760 (100.0%)
    With resolved stadium: 5760 (100.0%)

------------------------------------------------------------
SECTION 3: Health Score
------------------------------------------------------------

  Health Score: 98.9/100 ✓ EXCELLENT

  Score breakdown:
    Base completeness: 98.9
    Orphan penalty: -0
    Unknown stadium penalty: -0

  ✓ No recommendations - data is in great shape!

Health Score Calculation

health_score = avg_completeness - orphan_penalty - unknown_penalty

Where:
- avg_completeness = average of:
  - stadium coordinates %
  - stadium capacity %
  - team stadium ref %
  - game home team %
  - game away team %
  - game stadium %

- orphan_penalty = min(30, total_orphans * 2)
- unknown_penalty = min(10, unknown_stadiums)

Final score clamped to [0, 100]

Menu Options Added

• Option 16: Validate data (local + CloudKit) → --validate
• Option 17: List orphan records → --list-orphans

Issues Encountered

None. Implementation was straightforward, leveraging existing patterns from validate_canonical.py and the CloudKit sync functions.

Duration

~12 minutes