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WalkthroughThis PR introduces a comprehensive ATS (Applicant Tracking System) database expansion featuring initial schema setup and subsequent schema refinement. It adds thirteen new tables across recruitment workflows (Company, Employee, Position, Application, Interview, and supporting entities), five new enums, multiple indexes for query optimization, and PostgreSQL MCP configuration. Supporting documentation outlines requirements, schema planning, and verification workflows. Changes
Sequence DiagramsequenceDiagram
actor User
participant Prisma as Prisma ORM
participant DB as PostgreSQL
participant MCP as PostgreSQL MCP<br/>(Agent)
rect rgb(200, 230, 255)
note over User,MCP: Migration & Verification Workflow
User->>Prisma: Run migration dev<br/>(expand_ats_schema)
Prisma->>DB: Execute SQL:<br/>Create enums & tables
DB-->>Prisma: Schema updated
Prisma-->>User: Migration applied
end
rect rgb(220, 240, 220)
note over User,MCP: Verification Phase
User->>MCP: List tables & verify<br/>structure
MCP->>DB: SELECT from<br/>pg_tables, pg_indexes
DB-->>MCP: Return metadata
MCP-->>User: Confirm 13 tables,<br/>32+ indexes, FKs
end
rect rgb(240, 220, 220)
note over User,MCP: Validation Query
User->>DB: Test join query:<br/>Position → Application<br/>→ Candidate
DB-->>User: Results valid ✓
end
Estimated Code Review Effort🎯 4 (Complex) | ⏱️ ~45–60 minutes Areas requiring extra attention:
Poem
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
🧹 Nitpick comments (1)
backend/prisma/migrations/20251116010152_expand_ats_schema/migration.sql (1)
144-248: Comprehensive indexing strategy optimizes query performance across all entities.Composite indexes target common query patterns:
- Position(companyId, status) - find open positions by company
- Position(status, applicationDeadline, isVisible) - find visible positions nearing deadline
- Application(positionId, status) - find applications for a position by status
- Interview(applicationId, interviewStepId, interviewDate) - complex interview queries
- Interview(employeeId, interviewDate) - find interviews by interviewer and date
One optimization note: Company has both a unique index on name (line 145) and a regular index on name (line 148). The unique index can serve both purposes; the regular index is redundant.
Consider removing the redundant index to reduce storage overhead:
-- CreateIndex CREATE UNIQUE INDEX "Company_name_key" ON "Company"("name"); --- CreateIndex -CREATE INDEX "Company_name_idx" ON "Company"("name");
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📒 Files selected for processing (7)
.claude/agents/sql-pro.md(1 hunks).mcp.json(1 hunks)backend/prisma/migrations/20251116002143_initial/migration.sql(1 hunks)backend/prisma/migrations/20251116010152_expand_ats_schema/migration.sql(1 hunks)backend/prisma/schema.prisma(3 hunks)prompts/Requerimiento.md(1 hunks)prompts/prompts-ldlb.md(1 hunks)
🧰 Additional context used
🪛 Checkov (3.2.334)
.mcp.json
[medium] 15-16: Basic Auth Credentials
(CKV_SECRET_4)
🪛 LanguageTool
prompts/Requerimiento.md
[grammar] ~5-~5: Corrige la minúscula.
Context: ...osiciones. Convertir el ERD en formato mermaid aquí presentado a un script SQL. Analiz...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_ORTHOGRAPHY_LOWERCASE)
[grammar] ~7-~7: Cambia la forma del sustantivo.
Context: ...buenas practicas, como la definición de Indices y la normalización de la base datos, ya...
(QB_NEW_ES_OTHER_ERROR_IDS_REPLACEMENT_NOUN_FORM)
[grammar] ~7-~7: Aquí puede haber un error.
Context: ...ión de Indices y la normalización de la base datos, ya que el ERD proporcionado no c...
(QB_NEW_ES)
prompts/prompts-ldlb.md
[grammar] ~17-~17: Ensure spelling is correct
Context: ... entities: - Candidate, Education, WorkExperience, Resume - Current relationships and...
(QB_NEW_EN_ORTHOGRAPHY_ERROR_IDS_1)
🔇 Additional comments (11)
backend/prisma/migrations/20251116002143_initial/migration.sql (1)
1-59: Initial migration looks structurally sound.The Candidate, Education, WorkExperience, and Resume tables are well-defined with appropriate field types, indexes, and foreign key constraints. The RESTRICT-on-delete strategy prevents accidental data loss while CASCADE-on-update maintains referential integrity.
One note: The email field is VARCHAR(255) here, but the expand migration changes it to VARCHAR(320) for RFC 5321 compliance (covered separately).
.claude/agents/sql-pro.md (1)
1-73: Agent documentation provides clear SQL expertise framework.The sql-pro agent documentation comprehensively outlines expertise in complex queries, optimization, database-specific features, and best practices. This serves as a valuable reference for migration planning and implementation.
prompts/Requerimiento.md (1)
1-98: Requirements document clearly specifies ATS expansion with comprehensive ERD.The Mermaid ERD effectively captures all 9 entities, their fields, and relationships. The requirement to apply best practices (indices, normalization, enums) aligns well with the subsequent implementation.
Minor note: Static analysis flagged some Spanish grammar (lines 5, 7). These are stylistic and not critical, but can be addressed in future documentation maintenance if desired.
prompts/prompts-ldlb.md (1)
1-515: Migration planning and verification workflow is well-structured and comprehensive.The three-prompt chain (Analysis → Creation → Verification) provides a clear methodology for the database expansion. The responses show detailed planning, implementation tracking, and verification records, which is valuable for documentation and audit trails.
Note: The responses claim 32 additional indexes and specific cascade behaviors. These should be verified against the actual SQL migration file (20251116010152_expand_ats_schema/migration.sql) to ensure all promised optimizations were implemented.
backend/prisma/schema.prisma (3)
17-55: Enums provide good data integrity for categorical fields.The five enums (PositionStatus, EmploymentType, ApplicationStatus, InterviewResult, EmployeeRole) properly normalize fixed-value fields and enforce type safety at the database level.
57-156: Core ATS models are well-structured with comprehensive indexing.Company, Employee, InterviewType, InterviewFlow, InterviewStep, and Position models establish proper relationships and include strategic indexing for common query patterns (e.g., Position composite indexes on companyId+status, status+deadline+visibility).
158-226: Application and Interview models have appropriate cascade and restrict rules.The cascade/restrict strategy is thoughtful:
CASCADEon Application→Interview deletion ensures cleanup of related interviewsSET NULLon Interview→Employee allows interviewer deletion without losing interview historyRESTRICTon Application→(Position, Candidate) prevents accidental deletion of entities with applicationsOne design consideration: The unique constraint on Application(positionId, candidateId) prevents the same candidate from applying to the same position twice. This may be intentional (avoid duplicate applications), but verify it doesn't block legitimate reapplications after rejection.
Can you confirm whether allowing re-applications to the same position after rejection is a business requirement? If yes, consider removing or relaxing the unique constraint.
backend/prisma/migrations/20251116010152_expand_ats_schema/migration.sql (4)
1-15: Enum types are well-defined and match Prisma schema.All five enums (PositionStatus, EmploymentType, ApplicationStatus, InterviewResult, EmployeeRole) are created with appropriate values for ATS operations.
16-27: Candidate table type changes are safe and forward-looking.The VARCHAR size expansions (email 255→320, phone 15→20) are widening operations that won't cause data loss with existing data. The 320-character email field accommodates RFC 5321 compliance, and 20-character phone supports international formats with extensions.
29-142: Eight new tables are well-structured with appropriate field types and defaults.All tables include:
- Auto-incrementing primary keys
- Audit timestamps (createdAt, updatedAt)
- Sensible default values (e.g., PositionStatus DEFAULT 'DRAFT', ApplicationDate DEFAULT CURRENT_TIMESTAMP)
- Nullable fields for optional data (e.g., Interview.result, Interview.score, Employee.employeeId)
- Proper data types (DECIMAL for salary fields, SMALLINT for scores, TEXT for long-form content)
249-286: Foreign key cascade rules are thoughtfully designed for data integrity.The strategy balances referential integrity with business logic:
CASCADE deletions (hierarchical cleanup):
- Employee → Company: Employees deleted when company is deleted ✓
- InterviewStep → InterviewFlow: Steps deleted when flow is deleted ✓
- Interview → Application: Interviews deleted when application is withdrawn/deleted ✓
- Education/WorkExperience/Resume → Candidate: Related records deleted when candidate is deleted ✓
RESTRICT deletions (prevent orphans):
- Application → Position: Prevents accidental deletion of positions with pending applications ✓
- Application → Candidate: Prevents deletion of candidates with active applications ✓
- InterviewStep → InterviewType: Prevents deletion of interview types in use ✓
- Interview → InterviewStep: Prevents deletion of interview steps with scheduled interviews ✓
SET NULL deletion (preserve history):
- Interview → Employee: Allows employee deletion without losing interview records ✓
One concern to verify: The Interview→Application CASCADE means deleting an Application record cascades to delete all related Interviews. This is permanent data loss. Confirm this aligns with business requirements—consider if soft deletes (isDeleted flag) would be safer for audit purposes.
Verify the CASCADE delete behavior on Application→Interview is intentional. If audit trails must be preserved, consider implementing soft deletes (add isDeleted or status='ARCHIVED' flag) instead of hard deletion.
| "env": { | ||
| "DATABASE_URI": "postgresql://LTIdbUser:D1ymf8wyQEGthFR1E9xhCq@localhost:5432/LTIdb" | ||
| } |
There was a problem hiding this comment.
🧩 Analysis chain
Critical: Remove hardcoded database credentials from version control.
The DATABASE_URI contains plaintext username and password. This violates security best practices and compliance requirements, and credentials are now exposed in git history.
Immediate remediation required:
- Rotate the exposed database credentials (LTIdbUser password)
- Remove credentials from .mcp.json and use environment variables instead
- Update git history if this is production data (e.g., git filter-branch or BFG Repo-Cleaner)
Recommended fix:
{
"mcpServers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"DATABASE_URI",
"crystaldba/postgres-mcp",
"--access-mode=unrestricted"
],
"env": {
- "DATABASE_URI": "postgresql://LTIdbUser:D1ymf8wyQEGthFR1E9xhCq@localhost:5432/LTIdb"
+ "DATABASE_URI": "${env.DATABASE_URI}"
}
}
}
}Then set the environment variable in your shell or CI/CD pipeline before running the MCP server. Store the actual URI in your secrets manager (GitHub Secrets, 1Password, etc.).
---
🏁 Script executed:
```shell
#!/bin/bash
# Check if .mcp.json exists and show its content
echo "=== Checking for .mcp.json ==="
fd -type f -name "\.mcp\.json$" -exec cat {} \;
echo -e "\n=== Git history for .mcp.json ==="
git log --oneline -p .mcp.json 2>/dev/null | head -50
echo -e "\n=== Check for other config files with DATABASE_URI ==="
rg -i "DATABASE_URI" -A2 -B2
echo -e "\n=== Look for environment variable patterns in config ==="
rg -i "env\." --type json -A1 -B1
Length of output: 1714
🏁 Script executed:
#!/bin/bash
# Check for any secrets or credential patterns in config files
echo "=== Searching for password/credential patterns ==="
rg -i "password|secret|credential" --type json -C2
echo -e "\n=== Check MCP configuration files ==="
fd -type f \( -name "*.mcp.*" -o -name "mcp*" \) -exec ls -la {} \;Length of output: 260
🏁 Script executed:
#!/bin/bash
# Verify MCP documentation on environment variable support
echo "Checking MCP server configuration documentation..."
curl -s "https://raw.githubusercontent.com/modelcontextprotocol/specification/main/README.md" | grep -A5 -B5 -i "environment\|env\|variable" | head -30Length of output: 50
🏁 Script executed:
#!/bin/bash
# Search for MCP documentation or examples in the repository
echo "=== Looking for MCP documentation or examples ==="
fd -name "*mcp*" -o -name "*MCP*" | head -20
echo -e "\n=== Check for README or docs ==="
fd -name "README*" -o -name "*.md" | xargs grep -l -i "mcp\|environment" 2>/dev/null | head -10
echo -e "\n=== Check if there are environment variable references elsewhere ==="
rg '\$\{env\.' -C2
echo -e "\n=== Full .mcp.json file ==="
cat .mcp.jsonLength of output: 964
🌐 Web query:
MCP model context protocol environment variables configuration syntax
💡 Result:
Short answer — MCP servers (stdio type) let you pass environment variables either via the CLI when adding the server or in the client config.toml. Example forms:
-
CLI: codex mcp add --env VAR1=VALUE1 --env VAR2=VALUE2 -- . [1]
-
config.toml (per-server table):
[mcp.]
command = ""
args = ["arg1","arg2"] # optional
env = { VAR1 = "VALUE1", VAR2 = "VALUE2" } # optional map of env vars
You can also configure timeouts and other MCP options (startup_timeout_sec, tool_timeout_sec, bearer_token for HTTP servers, experimental_use_rmcp_client, etc.). See the MCP spec / docs and the Codex MCP docs for full fields and examples. [1][2]
Sources:
- Codex / MCP configuration docs (config.toml and CLI examples). [1]
- Official Model Context Protocol repository / spec. [2]
🏁 Script executed:
#!/bin/bash
# Search for how MCP configs are loaded/parsed in the repo
echo "=== Check for .mcp.json usage or loading logic ==="
rg -i "mcp\.json" -A3 -B3
echo -e "\n=== Check for variable interpolation or config parsing ==="
rg -i "\$\{.*\}" --type=json --type=js --type=ts -C2
echo -e "\n=== Look for MCP-related package dependencies ==="
fd -name "package.json" -exec cat {} \; | grep -i "mcp\|context.*protocol"Length of output: 392
🌐 Web query:
MCP model context protocol JSON config variable substitution support
💡 Result:
Short answer: There is no single MCP-wide rule. Variable-substitution in JSON MCP config is implementation-dependent — some clients/servers accept ${...} (or ${env:VAR}) placeholders, but many do not. For example, Claude-format .mcp.json files commonly do NOT expand ${VAR} and require literal values or passing env via the process environment, while other tools (GenAIScript examples) show ${env:DEBUG} usage working in their toolchain. Sources: [OpenAI/Codex MCP docs], [voice-mode docs (tests showing no substitution)], [GenAIScript examples].
If you tell me which client (Claude Desktop, Codex, GenAIScript, Hyperspell, etc.) or which config file you’re editing, I’ll check that implementation and give exact behavior and a recommended workaround.
Sources
- Model Context Protocol / Codex MCP docs. [1]
- voice-mode doc: “Environment variable substitution is NOT supported in .mcp.json”. [2]
- GenAIScript MCP config examples showing ${env:...} usage. [3]
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "env": { | |
| "DATABASE_URI": "postgresql://LTIdbUser:D1ymf8wyQEGthFR1E9xhCq@localhost:5432/LTIdb" | |
| } | |
| "env": { | |
| } |
🧰 Tools
🪛 Checkov (3.2.334)
[medium] 15-16: Basic Auth Credentials
(CKV_SECRET_4)
🤖 Prompt for AI Agents
.mcp.json lines 14-16: the DATABASE_URI currently contains hardcoded plaintext
DB credentials; remove the URI from the file (do not replace with ${env.*}
syntax since .mcp.json substitution is implementation-dependent), commit the
file without secrets, and update the README/deployment docs to require that
DATABASE_URI be supplied by the runtime environment (e.g., container -e, host
env, or platform secret) and stored in a secrets manager; immediately rotate the
exposed database password and, if this is production data, scrub the secret from
git history using BFG or git-filter-repo and add a pre-commit secret-scanning
check to prevent future leaks.
💪 Fortalezas
🔧 Recomendaciones de mejora
🚀 Mensaje finalVas por muy buen camino: el modelo es sólido, las relaciones están bien pensadas y el uso de Prisma es más avanzado de lo habitual para este punto del curso. Los ajustes que faltan son principalmente de alineación fina entre el SQL y Prisma, y de optimización de integridad/rendimiento. Con un par de iteraciones más, este esquema puede pasar perfectamente como diseño profesional de un sistema de tracking de talento. ¡Sigue así, cada mejora que hagas ahora te acerca mucho al nivel de un DBA/Backend senior! 🙌 |
2 participants
Herramienta utilizada: Claude Code
Agente utilizado: sql-pro
MCP utilizado para verificación: postgres-mcp
Summary by CodeRabbit
New Features
Documentation
Chores