agnes-the-ai-analyst/connectors/openmetadata/client.py
Petr 985f47cdb7 Add catalog export: generate YAML metrics and tables from OpenMetadata
- New `connectors/openmetadata/transformer.py` with shared parsing logic
  for extracting categories, grain, dimensions, expressions from OM tags
- New `src/catalog_export.py` script (python -m src.catalog_export) that
  fetches metrics/tables from OpenMetadata API and writes YAML files to
  /data/docs/metrics/ and /data/docs/tables/ for agent consumption
- Refactor webapp/app.py to delegate to transformer (with inline fallback)
- Add `fields` parameter to client.get_metrics() and get_metric_by_fqn()
  for fetching tags+owners in a single API call
- Fix pre-existing mock bug in test_openmetadata_enricher (base_url)
- 101 new tests (80 transformer + 21 export), all passing
2026-03-15 01:15:30 +01:00

151 lines
4.4 KiB
Python

"""
OpenMetadata REST API Client
Low-level HTTP wrapper for OpenMetadata REST API with these functions:
1. Authentication using JWT bearer token
2. Get table metadata (description, columns, tags, owners)
3. Get metrics (for Phase 2)
4. Proper error handling and logging
"""
import logging
from typing import Dict, List, Optional, Any
import warnings
import httpx
# Suppress SSL warnings for self-signed certificates
warnings.filterwarnings("ignore", message="Unverified HTTPS request")
logger = logging.getLogger(__name__)
class OpenMetadataClient:
"""
HTTP client for OpenMetadata REST API.
Provides methods for querying table metadata:
- get_table(fqn) -> table metadata with columns, owners, tags
- get_metrics() -> list of available business metrics
"""
def __init__(
self,
base_url: str,
token: str,
timeout: int = 30,
):
"""
Initialize OpenMetadata API client.
Args:
base_url: Base URL of OpenMetadata instance (e.g., "https://catalog.example.com")
token: JWT bearer token for authentication
timeout: HTTP request timeout in seconds
"""
self.base_url = base_url.rstrip("/")
self.token = token
self.timeout = timeout
self._client = httpx.Client(
base_url=self.base_url,
headers={
"Authorization": f"Bearer {token}",
"Content-Type": "application/json",
},
timeout=timeout,
verify=False, # Allow self-signed certificates (internal networks)
)
def get_table(self, fqn: str) -> Dict[str, Any]:
"""
Fetch table metadata from OpenMetadata.
Args:
fqn: Fully qualified name (e.g., "bigquery.project.dataset.table")
Returns:
Dictionary with table metadata including:
- id, name, fullyQualifiedName
- description
- columns: list of column dicts with name, dataType, description
- tags: list of tag dicts
- owners: list of owner dicts with name, email
- extension: custom metadata (e.g., tier)
Raises:
httpx.HTTPStatusError: If request fails (non-2xx status)
"""
url = f"/api/v1/tables/name/{fqn}"
params = {
"fields": "columns,owners,tags,extension",
"include": "all",
}
response = self._client.get(url, params=params)
response.raise_for_status()
return response.json()
def get_metrics(self, limit: int = 100, fields: str = "tags,owners") -> List[Dict[str, Any]]:
"""
Fetch list of available metrics from OpenMetadata.
Args:
limit: Maximum number of metrics to return
fields: Comma-separated list of fields to include (e.g., "tags,owners")
Returns:
List of metric dictionaries with:
- id, name, fullyQualifiedName
- description
- metricExpression: metric calculation SQL/formula
- owners, tags (when requested via fields)
"""
params = {
"limit": limit,
"fields": fields,
}
response = self._client.get("/api/v1/metrics", params=params)
response.raise_for_status()
data = response.json()
return data.get("data", [])
def get_metric_by_fqn(self, fqn: str, fields: str = "tags,owners") -> Dict[str, Any]:
"""
Fetch a specific metric by FQN from OpenMetadata.
Args:
fqn: Fully qualified name (e.g., "Active2 Customers")
fields: Comma-separated list of fields to include
Returns:
Dictionary with metric metadata:
- id, name, fullyQualifiedName
- description, metricExpression
- owners, tags (when requested via fields)
Raises:
httpx.HTTPStatusError: If request fails (non-2xx status)
"""
url = f"/api/v1/metrics/name/{fqn}"
params = {"fields": fields}
response = self._client.get(url, params=params)
response.raise_for_status()
return response.json()
def close(self):
"""Close HTTP client session."""
self._client.close()
def __enter__(self):
"""Context manager entry."""
return self
def __exit__(self, exc_type, exc_val, exc_tb):
"""Context manager exit."""
self.close()