Add repo tooling updates

This commit is contained in:
sas.fajri
2026-04-24 15:41:34 +07:00
parent ea8bae6efc
commit a88a5c9892
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---
name: Debug Issue
description: Systematically debug issues using graph-powered code navigation
---
## Debug Issue
Use the knowledge graph to systematically trace and debug issues.
### Steps
1. Use `semantic_search_nodes` to find code related to the issue.
2. Use `query_graph` with `callers_of` and `callees_of` to trace call chains.
3. Use `get_flow` to see full execution paths through suspected areas.
4. Run `detect_changes` to check if recent changes caused the issue.
5. Use `get_impact_radius` on suspected files to see what else is affected.
### Tips
- Check both callers and callees to understand the full context.
- Look at affected flows to find the entry point that triggers the bug.
- Recent changes are the most common source of new issues.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Explore Codebase
description: Navigate and understand codebase structure using the knowledge graph
---
## Explore Codebase
Use the code-review-graph MCP tools to explore and understand the codebase.
### Steps
1. Run `list_graph_stats` to see overall codebase metrics.
2. Run `get_architecture_overview` for high-level community structure.
3. Use `list_communities` to find major modules, then `get_community` for details.
4. Use `semantic_search_nodes` to find specific functions or classes.
5. Use `query_graph` with patterns like `callers_of`, `callees_of`, `imports_of` to trace relationships.
6. Use `list_flows` and `get_flow` to understand execution paths.
### Tips
- Start broad (stats, architecture) then narrow down to specific areas.
- Use `children_of` on a file to see all its functions and classes.
- Use `find_large_functions` to identify complex code.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Refactor Safely
description: Plan and execute safe refactoring using dependency analysis
---
## Refactor Safely
Use the knowledge graph to plan and execute refactoring with confidence.
### Steps
1. Use `refactor_tool` with mode="suggest" for community-driven refactoring suggestions.
2. Use `refactor_tool` with mode="dead_code" to find unreferenced code.
3. For renames, use `refactor_tool` with mode="rename" to preview all affected locations.
4. Use `apply_refactor_tool` with the refactor_id to apply renames.
5. After changes, run `detect_changes` to verify the refactoring impact.
### Safety Checks
- Always preview before applying (rename mode gives you an edit list).
- Check `get_impact_radius` before major refactors.
- Use `get_affected_flows` to ensure no critical paths are broken.
- Run `find_large_functions` to identify decomposition targets.
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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---
name: Review Changes
description: Perform a structured code review using change detection and impact
---
## Review Changes
Perform a thorough, risk-aware code review using the knowledge graph.
### Steps
1. Run `detect_changes` to get risk-scored change analysis.
2. Run `get_affected_flows` to find impacted execution paths.
3. For each high-risk function, run `query_graph` with pattern="tests_for" to check test coverage.
4. Run `get_impact_radius` to understand the blast radius.
5. For any untested changes, suggest specific test cases.
### Output Format
Provide findings grouped by risk level (high/medium/low) with:
- What changed and why it matters
- Test coverage status
- Suggested improvements
- Overall merge recommendation
## Token Efficiency Rules
- ALWAYS start with `get_minimal_context(task="<your task>")` before any other graph tool.
- Use `detail_level="minimal"` on all calls. Only escalate to "standard" when minimal is insufficient.
- Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

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.codex/hooks.json Normal file
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{
"hooks": {
"PreToolUse": [
{
"matcher": "Bash",
"hooks": [
{
"type": "command",
"command": "[ -f graphify-out/graph.json ] && echo '{\"hookSpecificOutput\":{\"hookEventName\":\"PreToolUse\",\"additionalContext\":\"graphify: Knowledge graph exists. Read graphify-out/GRAPH_REPORT.md for god nodes and community structure before searching raw files.\"}}' || true"
}
]
}
]
}
}

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set -euo pipefail
ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
exec "$ROOT_DIR/scripts/sync_devone_changed_files.sh" commit
exec "$ROOT_DIR/scripts/post_git_hook.sh" commit

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set -euo pipefail
ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
exec "$ROOT_DIR/scripts/sync_devone_changed_files.sh" merge
exec "$ROOT_DIR/scripts/post_git_hook.sh" merge

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set -euo pipefail
ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
exec "$ROOT_DIR/scripts/sync_devone_changed_files.sh" commit
exec "$ROOT_DIR/scripts/post_git_hook.sh" commit

2
.gitignore vendored
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.DS_Store
# Added by code-review-graph
.code-review-graph/

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- If a task changes live DB objects such as table schema, trigger, stored procedure, or function, always add a SQL record file under `sql/manual_changes/`.
- Name the SQL record file with the pattern `YYYY-MM-DD-<commit-message-stem>.sql`.
- The SQL record file must include the actual SQL change that was applied, not just a note.
## graphify
This project has a graphify knowledge graph at graphify-out/.
Rules:
- Before answering architecture or codebase questions, read graphify-out/GRAPH_REPORT.md for god nodes and community structure
- If graphify-out/wiki/index.md exists, navigate it instead of reading raw files
- For cross-module "how does X relate to Y" questions, prefer `graphify query "<question>"`, `graphify path "<A>" "<B>"`, or `graphify explain "<concept>"` over grep — these traverse the graph's EXTRACTED + INFERRED edges instead of scanning files
- After modifying code files in this session, run `graphify update .` to keep the graph current (AST-only, no API cost)

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# Code Review Graph Prompt History
History prompt dan arah kerja terkait `code-review-graph` pada sesi ini.
## Urutan Prompt
1. `kalo gitu km cob ainstal code-review-graph di laptop ini`
2. `code-review-graph install --platform codex`
3. `code-review-graph build`
4. `lihat apakah dia lebih enak daripada Graphify buat Supervisor / ibl_registration`
5. `1`
Mengacu ke opsi: jelaskan alur `ibl_registration`.
6. `gas`
Mengacu ke langkah lanjutan: bedah detail `Order::save()`.
7. `owh berarti berguna code review graph ya?`
8. `nanti klo ada update code apaak akan otomatis build ulang tau gmn?`
9. `2`
Mengacu ke opsi: siapkan mode `watch` yang enak untuk repo ini.
10. `km buat automation aja kalo commit ke main`
11. `km buatkan sy smmarie char history terkait code review grapgh di sesi ini`
12. `iya`
Mengacu ke langkah: simpan ringkasan ke `README.md`.
13. `km bisa buatkan history promtnya tadi?`
14. `3 yg terkait code review graph, mulai dr instalsi di laptop ya`
15. `bukan file mdnya`
16. `oke rapikan dlm file md`
## Ringkas Arah Kerja
- Install `code-review-graph` global di laptop.
- Integrasi `code-review-graph` ke Codex.
- Build graph untuk repo ini.
- Bandingkan kegunaan `code-review-graph` vs `graphify`.
- Pakai `code-review-graph` untuk memetakan `ibl_registration`.
- Lanjut bedah `Order::save()` sebagai inti alur modul.
- Cek apakah update graph otomatis atau manual.
- Siapkan `watch` helper untuk update graph.
- Tambah automation Git agar `code-review-graph update` jalan saat aktivitas Git di `main`.
- Dokumentasikan hasil setup dan history terkait.

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Setelah itu, commit atau merge ke `main` akan otomatis sync file yang berubah ke `devone.aplikasi.web.id:/home/one/project/one/one-api-lab/` memakai `scripts/sync_devone_changed_files.sh`.
Sync ini hanya mengirim file baru atau file yang berubah.
Perubahan rename, move, atau delete sengaja di-skip supaya file dan folder di devone tidak ikut terhapus atau berpindah.
## Code Review Graph
Repo ini sudah disetup untuk `code-review-graph` agar eksplorasi struktur kode dan review perubahan lebih hemat context dibanding baca repo secara buta.
Status setup:
- CLI global sudah terpasang di laptop: `code-review-graph`
- MCP Codex sudah diregister lewat `~/.codex/config.toml`
- Graph repo disimpan di `.code-review-graph/graph.db`
Perintah yang biasa dipakai:
- Build awal graph: `code-review-graph build`
- Update incremental setelah ada perubahan kode: `code-review-graph update`
- Lihat statistik graph: `code-review-graph status`
- Watch mode: `./scripts/code_review_graph_watch.sh`
Otomasi Git:
- Saat `commit`, `merge`, atau `rewrite` di branch `main`, hook lokal akan menjalankan `code-review-graph update`
- Setelah itu hook tetap lanjut ke auto sync devone yang sudah ada
- Kalau update graph gagal, proses Git tidak dibatalkan; hook hanya log lalu lanjut
Catatan penggunaan:
- `code-review-graph` paling berguna untuk mencari area modul, file, class, dan function yang spesifik
- Tetap verifikasi ke file asli saat debug atau revisi logika detail
- Untuk repo ini, `code-review-graph` terasa lebih stabil daripada `graphify` saat menelusuri modul seperti `ibl_registration`

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