recce-cloud-nightly 1.29.0.20251215

Lightweight CLI for Recce Cloud operations

Recce Cloud CLI

Lightweight command-line tool for uploading dbt artifacts to Recce Cloud in CI/CD environments.

Overview

The Recce Cloud CLI (recce-cloud) is a standalone tool designed for CI/CD pipelines that need to upload dbt artifacts (manifest.json and catalog.json) to Recce Cloud without the full recce package dependencies.

Key Features:

• 🚀 Lightweight - minimal dependencies for fast CI/CD execution
• 🤖 Auto-detection - automatically detects CI platform, repository, and PR/MR context
• 🔄 Dual workflows - supports both auto-session creation and existing session uploads
• 🔐 Flexible authentication - works with CI tokens or explicit API tokens
• ✅ Platform-specific - optimized for GitHub Actions and GitLab CI

Installation

pip install recce-cloud

Or in your CI/CD workflow:

# GitHub Actions
- name: Install recce-cloud
  run: pip install recce-cloud

# GitLab CI
install:
  script:
    - pip install recce-cloud

Quick Start

GitHub Actions

- name: Upload to Recce Cloud
  run: recce-cloud upload
  env:
    GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    RECCE_API_TOKEN: ${{ secrets.RECCE_API_TOKEN }}

GitLab CI

recce-upload:
  script:
    - recce-cloud upload
  variables:
    RECCE_API_TOKEN: $RECCE_API_TOKEN

Upload Workflows

The recce-cloud upload command supports two workflows:

1. Platform-Specific Workflow (Recommended)

For GitHub Actions and GitLab CI

Automatically creates Recce Cloud sessions using platform-specific APIs. No session ID required.

Features:

• ✅ Auto-creates session with touch-recce-session API
• ✅ Auto-detects PR/MR context and links session
• ✅ Notifies upload completion
• ✅ Works with CI-provided tokens (GITHUB_TOKEN, CI_JOB_TOKEN)

Usage:

# GitHub Actions
recce-cloud upload

# GitLab CI
recce-cloud upload

# With custom target path
recce-cloud upload --target-path custom-target

# With manual overrides
recce-cloud upload --cr 123 --type cr

Requirements:

• Running in GitHub Actions or GitLab CI environment
• RECCE_API_TOKEN or CI-provided token (GITHUB_TOKEN/CI_JOB_TOKEN)
• dbt artifacts in target directory

2. Generic Workflow

For other CI platforms or existing sessions

Uploads to a pre-existing Recce Cloud session using session ID.

Usage:

# With session ID parameter
recce-cloud upload --session-id abc123

# With environment variable
export RECCE_SESSION_ID=abc123
recce-cloud upload

# With custom target path
recce-cloud upload --session-id abc123 --target-path my-target

Requirements:

• Pre-created session ID (from Recce Cloud web app or API)
• RECCE_API_TOKEN
• dbt artifacts in target directory

Command Reference

recce-cloud upload

Upload dbt artifacts to Recce Cloud session.

Options:

Option	Type	Default	Description
--target-path	path	target	Path to dbt target directory
--session-id	string	-	Session ID for generic workflow (optional)
--cr	integer	-	Override PR/MR number
--type	choice	-	Override session type: cr, prod, dev
--dry-run	flag	false	Show what would be uploaded without uploading

Environment Variables:

Variable	Required	Description
RECCE_API_TOKEN	Recommended	Recce Cloud API token
RECCE_SESSION_ID	Optional	Session ID for generic workflow
GITHUB_TOKEN	Auto-detected	GitHub authentication (Actions)
CI_JOB_TOKEN	Auto-detected	GitLab authentication (CI)

Exit Codes:

Code	Description
0	Success
1	Platform not supported (platform-specific workflow)
2	Authentication error
3	File validation error
4	Upload error

recce-cloud version

Display the version of recce-cloud.

recce-cloud version

Authentication

The CLI supports multiple authentication methods with the following priority:

1. RECCE_API_TOKEN (explicit token) - Recommended for production
2. CI-provided tokens - GITHUB_TOKEN (Actions) or CI_JOB_TOKEN (GitLab CI)
3. Error if no token available

Getting API Tokens

Recce Cloud API Token:

1. Log in to Recce Cloud
2. Go to Settings → API Tokens
3. Create a new token
4. Add to CI/CD secrets as RECCE_API_TOKEN

GitHub Token:

• Automatically available as ${{ secrets.GITHUB_TOKEN }} in Actions
• No additional configuration needed

GitLab Token:

• Automatically available as $CI_JOB_TOKEN in GitLab CI
• No additional configuration needed

Auto-Detection

The CLI automatically detects your CI environment:

Detected Information

Information	GitHub Actions	GitLab CI
Platform	✅ github-actions	✅ gitlab-ci
Repository	✅ owner/repo	✅ group/project
PR/MR Number	✅ From event payload	✅ From CI_MERGE_REQUEST_IID
PR/MR URL	✅ Constructed	✅ Constructed (self-hosted support)
Commit SHA	✅ GITHUB_SHA	✅ CI_COMMIT_SHA
Source Branch	✅ GITHUB_HEAD_REF	✅ CI_MERGE_REQUEST_SOURCE_BRANCH_NAME
Base Branch	✅ GITHUB_BASE_REF	✅ CI_MERGE_REQUEST_TARGET_BRANCH_NAME
Session Type	✅ Auto-determined	✅ Auto-determined
Access Token	✅ GITHUB_TOKEN	✅ CI_JOB_TOKEN

Manual Overrides

You can override auto-detected values:

# Override PR/MR number
recce-cloud upload --cr 456

# Override session type
recce-cloud upload --type prod

# Multiple overrides
recce-cloud upload --cr 789 --type cr

# Dry run - preview what would be uploaded
recce-cloud upload --dry-run

CI/CD Integration Examples

GitHub Actions - Complete Workflow

name: Recce CI

on:
  pull_request:
    branches: [main]

jobs:
  recce:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Setup Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.11"

      - name: Install dependencies
        run: |
          pip install dbt-core dbt-postgres recce-cloud

      - name: Build dbt project
        run: |
          dbt deps
          dbt build
          dbt docs generate

      - name: Upload to Recce Cloud
        run: recce-cloud upload
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          RECCE_API_TOKEN: ${{ secrets.RECCE_API_TOKEN }}

GitLab CI - Complete Workflow

stages:
  - build
  - upload

dbt-build:
  stage: build
  image: python:3.11-slim
  script:
    - pip install dbt-core dbt-postgres
    - dbt deps
    - dbt build
    - dbt docs generate
  artifacts:
    paths:
      - target/

recce-upload:
  stage: upload
  image: python:3.11-slim
  script:
    - pip install recce-cloud
    - recce-cloud upload
  variables:
    RECCE_API_TOKEN: $RECCE_API_TOKEN
  dependencies:
    - dbt-build
  only:
    - merge_requests
    - main

Generic CI Platform

For other CI platforms, use the generic workflow with session ID:

- name: Upload to Recce Cloud
  script:
    - pip install recce-cloud
    - recce-cloud upload --session-id ${SESSION_ID}
  environment:
    RECCE_API_TOKEN: ${RECCE_API_TOKEN}
    SESSION_ID: ${SESSION_ID}

Troubleshooting

Common Issues

1. Missing dbt artifacts

Error: Invalid target path: target
Please provide a valid target path containing manifest.json and catalog.json.

Solution: Ensure dbt docs generate has been run successfully before upload.

dbt build
dbt docs generate  # Required!
recce-cloud upload

2. Authentication failed

Error: No authentication token provided
Set RECCE_API_TOKEN environment variable or ensure CI token is available

Solution: Set RECCE_API_TOKEN in your CI/CD secrets or ensure CI token permissions.

# GitHub Actions
env:
  RECCE_API_TOKEN: ${{ secrets.RECCE_API_TOKEN }}

# GitLab CI
variables:
  RECCE_API_TOKEN: $RECCE_API_TOKEN

3. Platform not supported

Error: Platform-specific upload requires GitHub Actions or GitLab CI environment
Detected platform: unknown

Solution: Use generic workflow with session ID, or run in supported CI platform.

recce-cloud upload --session-id abc123

4. Session not found

Error: Session ID abc123 does not belong to any organization.

Solution: Verify session ID is correct and accessible with your API token.

5. GitLab self-hosted instance

The CLI automatically detects self-hosted GitLab instances using CI_SERVER_URL.

# No additional configuration needed
recce-upload:
  script:
    - recce-cloud upload
  variables:
    RECCE_API_TOKEN: $RECCE_API_TOKEN

Debug Mode

Enable verbose logging for troubleshooting:

# Set log level to DEBUG
export RECCE_LOG_LEVEL=DEBUG
recce-cloud upload

Architecture

Platform-Specific APIs

The CLI uses platform-specific API endpoints for auto-session creation:

GitHub Actions:

• POST /api/v2/github/{repository}/touch-recce-session
• POST /api/v2/github/{repository}/upload-completed

GitLab CI:

• POST /api/v2/gitlab/{project_path}/touch-recce-session
• POST /api/v2/gitlab/{project_path}/upload-completed

Upload Process

Platform-Specific Workflow:

1. Detect CI platform and extract context
2. Validate dbt artifacts
3. Extract adapter type from manifest
4. Authenticate with Recce Cloud API
5. Call touch-recce-session (creates or updates session)
6. Upload manifest.json to presigned S3 URL
7. Upload catalog.json to presigned S3 URL
8. Call upload-completed (notifies Recce Cloud)

Generic Workflow:

1. Detect CI platform (optional)
2. Validate dbt artifacts
3. Extract adapter type from manifest
4. Authenticate with Recce Cloud API
5. Get session info (org_id, project_id)
6. Get presigned upload URLs
7. Upload manifest.json to S3
8. Upload catalog.json to S3
9. Update session metadata

Development

Running Tests

# Install development dependencies
pip install -e .[dev]

# Run tests
pytest tests/recce_cloud/

# Run with coverage
pytest --cov=recce_cloud --cov-report=html tests/recce_cloud/

# Run specific test file
pytest tests/recce_cloud/test_platform_clients.py

Code Quality

# Format code
make format

# Run quality checks
make check

# Run all checks and tests
make test

Support

• Documentation: docs.reccehq.com
• Issues: GitHub Issues
• Community: Recce Slack
• Email: [e-mail]

License

Apache License 2.0 - See LICENSE file for details.