Claude-skill-registry clickhouse-pydantic-config

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/clickhouse-pydantic-config" ~/.claude/skills/majiayu000-claude-skill-registry-clickhouse-pydantic-config && rm -rf "$T"

manifest: skills/data/clickhouse-pydantic-config/SKILL.md

source content

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:

Create/retrieve user: Use
```
clickhouse-cloud-management
```
skill to create read-only users or retrieve existing credentials from 1Password
Store in .env: Add to
```
.env
```
file (gitignored):

CLICKHOUSE_USER_READONLY=your_user
CLICKHOUSE_PASSWORD_READONLY=your_password

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

DBeaver binary: Use

/Applications/DBeaver.app/Contents/MacOS/dbeaver

(NOT

open -a

)

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