Jika memiliki kumpulan praktik terbaik atau konvensi kustom yang ingin
diperiksa Gemini Code Assist, Anda dapat menambahkan
file styleguide.md ke folder root .gemini/
repositori Anda. File ini diperlakukan sebagai file teks biasa, dan memperluas
prompt standar yang digunakan Gemini Code Assist.
Pola peninjauan kode standar
Jika panduan gaya kustom tidak ditentukan, berikut adalah kategori utama area tempat Gemini Code Assist memfokuskan peninjauan kodenya:
Kebenaran: Memastikan kode berfungsi sebagaimana mestinya dan menangani kasus ekstrem, memeriksa error logika, kondisi race, atau penggunaan API yang salah.
Efisiensi: Mengidentifikasi potensi bottleneck performa atau area untuk pengoptimalan, seperti loop yang berlebihan, kebocoran memori, struktur data yang tidak efisien, penghitungan yang berlebihan, logging yang berlebihan, dan manipulasi string yang tidak efisien.
Ketersediaan: Menilai keterbacaan kode, modularitas, dan kepatuhan terhadap idiom bahasa dan praktik terbaik. Menargetkan penamaan yang buruk untuk variabel, fungsi, dan class, kurangnya komentar atau dokumentasi, kode yang kompleks, duplikasi kode, pemformatan yang tidak konsisten, dan angka ajaib.
Keamanan: Mengidentifikasi potensi kerentanan dalam penanganan data atau validasi input, seperti penyimpanan data sensitif yang tidak aman, serangan injection, kontrol akses yang tidak memadai, Cross-Site Request Forgery (CSRF), dan Insecure Direct Object References (IDOR).
Lain-lain: Topik lain dipertimbangkan saat meninjau permintaan pull, seperti pengujian, performa, skalabilitas, modularitas, dan penggunaan kembali, serta logging dan pemantauan error.
Menambahkan file konfigurasi
Folder .gemini/ menghosting file konfigurasi terkait Gemini Code Assist, seperti config.yaml dan styleguide.md.
File config.yaml berisi berbagai fitur yang dapat dikonfigurasi yang dapat Andaaktifkan atau nonaktifkan. File teks styleguide.md adalah panduan gaya, yang
memberi petunjuk kepada Gemini Code Assist dengan beberapa aturan tertentu yang
ingin Anda ikuti saat melakukan peninjauan kode.
Untuk menambahkan file konfigurasi ini, buat file tersebut di folder .gemini/ repositori
Anda dan gunakan tabel berikut sebagai referensi:
Cuplikan kode berikut adalah contoh file config.yaml dengan setelan default. Jika Anda tidak menyertakan setelan tertentu, Gemini Code Assist akan menggunakan setelan default. Anda dapat menggunakan
cuplikan ini sebagai template untuk membuat file config.yaml Anda sendiri:
have_fun: true
code_review:
disable: false
comment_severity_threshold: MEDIUM
max_review_comments: -1
pull_request_opened:
help: false
summary: true
code_review: true
Cuplikan kode berikut adalah contoh file config.yaml dengan
setelan yang disesuaikan:
$schema: "http://json-schema.org/draft-07/schema#"
title: RepoConfig
description: Configuration for Gemini Code Assist on a repository. All fields are optional and have default values.
type: object
properties:
have_fun:
type: boolean
description: Enables fun features such as a poem in the initial pull request summary. Default: true.
code_review:
type: object
description: Configuration for code reviews. All fields are optional and have default values.
properties:
disable:
type: boolean
description: Disables Gemini from acting on pull requests. Default: false.
comment_severity_threshold:
type: string
enum:
- LOW
- MEDIUM
- HIGH
- CRITICAL
description: The minimum severity of review comments to consider. Default: MEDIUM.
max_review_comments:
type: integer
format: int64
description: The maximum number of review comments to consider. Use -1 for unlimited. Default: -1.
pull_request_opened:
type: object
description: Configuration for pull request opened events. All fields are optional and have default values.
properties:
help:
type: boolean
description: Posts a help message on pull request open. Default: false.
summary:
type: boolean
description: Posts a pull request summary on the pull request open. Default: true.
code_review:
type: boolean
description: Posts a code review on pull request open. Default: true.
Cuplikan kode berikut adalah contoh file styleguide.md:
# Company X Python Style Guide
# Introduction
This style guide outlines the coding conventions for Python code developed at Company X.
It's based on PEP 8, but with some modifications to address specific needs and
preferences within our organization.
# Key Principles
* **Readability:** Code should be easy to understand for all team members.
* **Maintainability:** Code should be easy to modify and extend.
* **Consistency:** Adhering to a consistent style across all projects improves
collaboration and reduces errors.
* **Performance:** While readability is paramount, code should be efficient.
# Deviations from PEP 8
## Line Length
* **Maximum line length:** 100 characters (instead of PEP 8's 79).
* Modern screens allow for wider lines, improving code readability in many cases.
* Many common patterns in our codebase, like long strings or URLs, often exceed 79 characters.
## Indentation
* **Use 4 spaces per indentation level.** (PEP 8 recommendation)
## Imports
* **Group imports:**
* Standard library imports
* Related third party imports
* Local application/library specific imports
* **Absolute imports:** Always use absolute imports for clarity.
* **Import order within groups:** Sort alphabetically.
## Naming Conventions
* **Variables:** Use lowercase with underscores (snake_case): `user_name`, `total_count`
* **Constants:** Use uppercase with underscores: `MAX_VALUE`, `DATABASE_NAME`
* **Functions:** Use lowercase with underscores (snake_case): `calculate_total()`, `process_data()`
* **Classes:** Use CapWords (CamelCase): `UserManager`, `PaymentProcessor`
* **Modules:** Use lowercase with underscores (snake_case): `user_utils`, `payment_gateway`
## Docstrings
* **Use triple double quotes (`"""Docstring goes here."""`) for all docstrings.**
* **First line:** Concise summary of the object's purpose.
* **For complex functions/classes:** Include detailed descriptions of parameters, return values,
attributes, and exceptions.
* **Use Google style docstrings:** This helps with automated documentation generation.
```python
def my_function(param1, param2):
"""Single-line summary.
More detailed description, if necessary.
Args:
param1 (int): The first parameter.
param2 (str): The second parameter.
Returns:
bool: The return value. True for success, False otherwise.
Raises:
ValueError: If `param2` is invalid.
"""
# function body here
```
## Type Hints
* **Use type hints:** Type hints improve code readability and help catch errors early.
* **Follow PEP 484:** Use the standard type hinting syntax.
## Comments
* **Write clear and concise comments:** Explain the "why" behind the code, not just the "what".
* **Comment sparingly:** Well-written code should be self-documenting where possible.
* **Use complete sentences:** Start comments with a capital letter and use proper punctuation.
## Logging
* **Use a standard logging framework:** Company X uses the built-in `logging` module.
* **Log at appropriate levels:** DEBUG, INFO, WARNING, ERROR, CRITICAL
* **Provide context:** Include relevant information in log messages to aid debugging.
## Error Handling
* **Use specific exceptions:** Avoid using broad exceptions like `Exception`.
* **Handle exceptions gracefully:** Provide informative error messages and avoid crashing the program.
* **Use `try...except` blocks:** Isolate code that might raise exceptions.
# Tooling
* **Code formatter:** [Specify formatter, e.g., Black] - Enforces consistent formatting automatically.
* **Linter:** [Specify linter, e.g., Flake8, Pylint] - Identifies potential issues and style violations.
# Example
```python
"""Module for user authentication."""
import hashlib
import logging
import os
from companyx.db import user_database
LOGGER = logging.getLogger(__name__)
def hash_password(password: str) -> str:
"""Hashes a password using SHA-256.
Args:
password (str): The password to hash.
Returns:
str: The hashed password.
"""
salt = os.urandom(16)
salted_password = salt + password.encode('utf-8')
hashed_password = hashlib.sha256(salted_password).hexdigest()
return f"{salt.hex()}:{hashed_password}"
def authenticate_user(username: str, password: str) -> bool:
"""Authenticates a user against the database.
Args:
username (str): The user's username.
password (str): The user's password.
Returns:
bool: True if the user is authenticated, False otherwise.
"""
try:
user = user_database.get_user(username)
if user is None:
LOGGER.warning("Authentication failed: User not found - %s", username)
return False
stored_hash = user.password_hash
salt, hashed_password = stored_hash.split(':')
salted_password = bytes.fromhex(salt) + password.encode('utf-8')
calculated_hash = hashlib.sha256(salted_password).hexdigest()
if calculated_hash == hashed_password:
LOGGER.info("User authenticated successfully - %s", username)
return True
else:
LOGGER.warning("Authentication failed: Incorrect password - %s", username)
return False
except Exception as e:
LOGGER.error("An error occurred during authentication: %s", e)
return False