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clickhouse-pydantic-config

Generate DBeaver configurations from Pydantic ClickHouse connection models. Use when user mentions "DBeaver config", "ClickHouse connection setup", "database client configuration", "generate connection JSON", "mise SSoT connection", or needs consistent connection configuration across development tools.

terrylica☆ 9 仓库 Stars1 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

ClickHouse Pydantic Config

Generate DBeaver database client configurations from Pydantic v2 models using mise [env] as Single Source of Truth (SSoT).

Critical Design Principle: Semi-Prescriptive Adaptation

This skill is NOT a rigid template. It provides a SSoT pattern that MUST be adapted to each repository's structure and local database situation.

Why This Matters

Each repository has unique:

  • Directory layouts (.dbeaver/ location may vary)
  • Environment variable naming conventions
  • Existing connection management patterns
  • Local vs cloud database mix

The SSoT principle is the constant; the implementation details are the variables.

Quick Start

# Generate local connection config
mise run db-client-generate

# Generate cloud connection config
mise run db-client:cloud

# Preview without writing
mise run db-client:dry-run

# Launch DBeaver
mise run dbeaver

Credential Prerequisites (Cloud Mode)

Before using cloud mode, obtain credentials via the skill chain:

  1. Create/retrieve user: Use clickhouse-cloud-management skill to create read-only users or retrieve existing credentials from 1Password
  2. Store in .env: Add to .env file (gitignored):
CLICKHOUSE_USER_READONLY=your_user
CLICKHOUSE_PASSWORD_READONLY=your_password
  1. Generate config: Run mise run db-client:cloud

Skill chain: clickhouse-cloud-management → .env → clickhouse-pydantic-config

mise [env] as Single Source of Truth

All configurable values live in .mise.toml:

[env]
CLICKHOUSE_NAME = "clickhouse-local"
CLICKHOUSE_MODE = "local"  # "local" or "cloud"
CLICKHOUSE_HOST = "localhost"
CLICKHOUSE_PORT = "8123"
CLICKHOUSE_DATABASE = "default"

Scripts read from os.environ.get() with backward-compatible defaults—works with or without mise installed.

Credential Handling by Mode

Mode Approach Rationale
Local Hardcode default user, empty password Zero friction, no security concern
Cloud Pre-populate from .env Read from environment, write to gitignored JSON

Key principle: The generated data-sources.json is gitignored anyway. Pre-populating credentials trades zero security risk for maximum developer convenience.

Cloud Credentials Setup
# .env (gitignored)
CLICKHOUSE_USER_READONLY=readonly_user
CLICKHOUSE_PASSWORD_READONLY=your-secret-password

Repository Adaptation Workflow

Pre-Implementation Discovery (Phase 0)

Before writing any code, the executor MUST:

# 1. Discover existing configuration patterns
fd -t f ".mise.toml" .
fd -t f ".env*" .
fd -t d ".dbeaver" .

# 2. Test ClickHouse connectivity (local)
clickhouse-client --host localhost --port 9000 --query "SELECT 1"

# 3. Check for existing connection configs
fd -t f "data-sources.json" .
fd -t f "dataSources.xml" .
Adaptation Decision Matrix
Discovery Finding Adaptation Action
Existing .mise.toml at repo root Extend existing [env] section, don't create new file
Existing .dbeaver/ directory Merge connections, preserve existing entries
Non-standard CLICKHOUSE_* vars Map to repository's naming convention
Multiple databases (local + cloud) Generate multiple connection entries
No ClickHouse available Warn and generate placeholder config
Validation Checklist (Post-Generation)

The executor MUST verify:

  • Generated JSON is valid (jq . .dbeaver/data-sources.json)
  • DBeaver can import the config (launch and verify connection appears)
  • mise tasks execute without error (mise run db-client-generate)
  • .dbeaver/ added to .gitignore

Pydantic Model

The ClickHouseConnection model provides:

  • Type-safe configuration with Pydantic v2 validation
  • Computed fields for JDBC URL and connection ID
  • Mode-aware defaults (cloud auto-enables SSL on port 8443)
  • Environment loading via from_env() class method

See references/pydantic-model.md for complete model documentation.

DBeaver Format

DBeaver uses .dbeaver/data-sources.json with this structure:

{
  "folders": {},
  "connections": {
    "clickhouse-jdbc-{random-hex}": {
      "provider": "clickhouse",
      "driver": "com_clickhouse",
      "name": "Connection Name",
      "configuration": { ... }
    }
  }
}

Important: DBeaver does NOT support ${VAR} substitution—values must be pre-populated at generation time.

See references/dbeaver-format.md for complete format specification.

macOS Notes

  1. DBeaver binary: Use /Applications/DBeaver.app/Contents/MacOS/dbeaver (NOT open -a)
  2. Gitignore: Add .dbeaver/ to .gitignore

Related Skills

Skill Integration
devops-tools:clickhouse-cloud-management Credential retrieval for cloud mode
quality-tools:clickhouse-architect Schema design context
itp:mise-configuration SSoT environment variable patterns

Python Driver Policy

For Python application code connecting to ClickHouse (not DBeaver), use clickhouse-connect (official HTTP driver). See clickhouse-architect for:

  • Recommended code patterns
  • Why NOT to use clickhouse-driver (community)
  • Performance vs maintenance trade-offs

Additional Resources

Reference Content
references/pydantic-model.md Complete model documentation
references/dbeaver-format.md DBeaver JSON format spec

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-02-02
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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