clickhouse-pydantic-config
Generate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.
Best use case
clickhouse-pydantic-config is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.
Teams using clickhouse-pydantic-config should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/clickhouse-pydantic-config/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clickhouse-pydantic-config Compares
| Feature / Agent | clickhouse-pydantic-config | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# ClickHouse Pydantic Config
<!-- ADR: 2025-12-09-clickhouse-pydantic-config-skill -->
Generate DBeaver database client configurations from Pydantic v2 models using mise `[env]` as Single Source of Truth (SSoT).
**Schema documentation principle**: ClickHouse table/column COMMENTs are the SSoT for what each column means and how it's computed. See `quality-tools:clickhouse-architect` for the full COMMENT policy.
> **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
## When to Use This Skill
Use this skill when:
- Setting up DBeaver connections for ClickHouse databases
- Generating database client configurations from environment variables
- Managing local vs cloud ClickHouse connection profiles
- Integrating ClickHouse with mise-based development workflows
- Automating DBeaver data-sources.json generation
## 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
```bash
# 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)
<!-- ADR: 2025-12-10-clickhouse-skill-documentation-gaps -->
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):
```bash
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`:
```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
```bash
# .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:
```bash
# 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](./references/pydantic-model.md) for complete model documentation.
## DBeaver Format
DBeaver uses `.dbeaver/data-sources.json` with this structure:
```json
{
"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](./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`](../../../quality-tools/skills/clickhouse-architect/SKILL.md#python-driver-policy) for:
- Recommended code patterns
- Why NOT to use `clickhouse-driver` (community)
- Performance vs maintenance trade-offs
## Additional Resources
| Reference | Content |
| -------------------------------------------------------------- | ---------------------------- |
| [references/pydantic-model.md](./references/pydantic-model.md) | Complete model documentation |
| [references/dbeaver-format.md](./references/dbeaver-format.md) | DBeaver JSON format spec |
---
## Troubleshooting
| Issue | Cause | Solution |
| ----------------------- | ---------------------------- | ------------------------------------------------- |
| DBeaver can't connect | Port mismatch (8123 vs 9000) | HTTP uses 8123, native uses 9000 - check config |
| Credentials not loading | .env not sourced | Run `mise trust` or source .env manually |
| JSON validation fails | Invalid data-sources.json | Validate with `jq . .dbeaver/data-sources.json` |
| Cloud SSL error | Missing SSL on port 8443 | Cloud mode auto-enables SSL - verify port is 8443 |
| mise task not found | Missing task definition | Add task to mise.toml `[tasks]` section |
| .dbeaver/ in git | Missing gitignore entry | Add `.dbeaver/` to `.gitignore` |
| Connection ID conflict | Duplicate connection names | Each connection needs unique ID (random hex) |
| Config not updating | DBeaver caching | Restart DBeaver to reload data-sources.json |
## Post-Execution Reflection
After this skill completes, check before closing:
1. **Did the command succeed?** — If not, fix the instruction or error table that caused the failure.
2. **Did parameters or output change?** — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
3. **Was a workaround needed?** — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.
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