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parser.py
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259 lines (210 loc) · 8.32 KB
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"""
dbt manifest parser for Feast integration.
This module provides functionality to parse dbt manifest.json files and extract
model metadata for generating Feast FeatureViews.
Uses dbt-artifacts-parser for typed parsing of manifest versions v1-v12 (dbt 0.19 through 1.11+).
"""
import json
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any, Dict, List, Optional
@dataclass
class DbtColumn:
"""Represents a column in a dbt model."""
name: str
description: str = ""
data_type: str = "STRING"
tags: List[str] = field(default_factory=list)
meta: Dict[str, Any] = field(default_factory=dict)
@dataclass
class DbtModel:
"""Represents a dbt model."""
name: str
unique_id: str
database: str
schema: str
alias: str
description: str = ""
columns: List[DbtColumn] = field(default_factory=list)
tags: List[str] = field(default_factory=list)
meta: Dict[str, Any] = field(default_factory=dict)
depends_on: List[str] = field(default_factory=list)
@property
def full_table_name(self) -> str:
"""Returns fully qualified table name (database.schema.table)."""
return f"{self.database}.{self.schema}.{self.alias}"
class DbtManifestParser:
"""
Parser for dbt manifest.json files using dbt-artifacts-parser.
Uses dbt-artifacts-parser for typed parsing of manifest versions v1-v12
(dbt versions 0.19 through 1.11+).
Example::
parser = DbtManifestParser("target/manifest.json")
parser.parse()
models = parser.get_models(tag_filter="feast")
for model in models:
print(f"Model: {model.name}, Columns: {len(model.columns)}")
Args:
manifest_path: Path to manifest.json file (typically target/manifest.json)
Raises:
FileNotFoundError: If manifest.json doesn't exist
ValueError: If manifest.json is invalid JSON
"""
def __init__(self, manifest_path: str):
"""
Initialize parser.
Args:
manifest_path: Path to manifest.json file
"""
self.manifest_path = Path(manifest_path)
self._raw_manifest: Optional[Dict[str, Any]] = None
self._parsed_manifest: Optional[Any] = None
def parse(self) -> None:
"""
Load and parse the manifest.json file using dbt-artifacts-parser.
Raises:
FileNotFoundError: If manifest.json doesn't exist
ValueError: If manifest.json is invalid JSON
ImportError: If dbt-artifacts-parser is not installed
"""
if not self.manifest_path.exists():
raise FileNotFoundError(
f"dbt manifest not found at {self.manifest_path}.\n"
f"Run 'dbt compile' or 'dbt run' first.\n"
f"Expected path: <dbt_project>/target/manifest.json"
)
try:
with open(self.manifest_path, "r") as f:
self._raw_manifest = json.load(f)
except json.JSONDecodeError as e:
raise ValueError(
f"Invalid JSON in manifest: {e}\nTry: dbt clean && dbt compile"
)
# Parse using dbt-artifacts-parser for typed access
try:
from dbt_artifacts_parser.parser import parse_manifest
self._parsed_manifest = parse_manifest(manifest=self._raw_manifest)
except ImportError:
raise ImportError(
"dbt-artifacts-parser is required for dbt integration.\n"
"Install with: pip install 'feast[dbt]' or pip install dbt-artifacts-parser"
)
def _extract_column_from_node(self, col_name: str, col_data: Any) -> DbtColumn:
"""Extract column info from a parsed node column."""
return DbtColumn(
name=col_name,
description=getattr(col_data, "description", "") or "",
data_type=getattr(col_data, "data_type", "STRING") or "STRING",
tags=list(getattr(col_data, "tags", []) or []),
meta=dict(getattr(col_data, "meta", {}) or {}),
)
def _extract_model_from_node(self, node_id: str, node: Any) -> Optional[DbtModel]:
"""Extract DbtModel from a parsed manifest node."""
# Check resource type
resource_type = getattr(node, "resource_type", None)
if resource_type is None:
if not node_id.startswith("model."):
return None
else:
resource_type_str = (
resource_type.value
if hasattr(resource_type, "value")
else str(resource_type)
)
if resource_type_str != "model":
return None
model_name = getattr(node, "name", "")
node_tags = list(getattr(node, "tags", []) or [])
node_columns = getattr(node, "columns", {}) or {}
depends_on = getattr(node, "depends_on", None)
if depends_on:
depends_on_nodes = list(getattr(depends_on, "nodes", []) or [])
else:
depends_on_nodes = []
# Extract columns
columns = [
self._extract_column_from_node(col_name, col_data)
for col_name, col_data in node_columns.items()
]
# Get schema - dbt-artifacts-parser uses schema_ to avoid Python keyword
schema = getattr(node, "schema_", "") or getattr(node, "schema", "") or ""
return DbtModel(
name=model_name,
unique_id=node_id,
database=getattr(node, "database", "") or "",
schema=schema,
alias=getattr(node, "alias", model_name) or model_name,
description=getattr(node, "description", "") or "",
columns=columns,
tags=node_tags,
meta=dict(getattr(node, "meta", {}) or {}),
depends_on=depends_on_nodes,
)
def get_models(
self,
model_names: Optional[List[str]] = None,
tag_filter: Optional[str] = None,
) -> List[DbtModel]:
"""
Extract dbt models from manifest.
Args:
model_names: Optional list of specific model names to extract
tag_filter: Optional tag to filter models by
Returns:
List of DbtModel objects
Example::
models = parser.get_models(model_names=["driver_stats"])
models = parser.get_models(tag_filter="feast")
"""
if self._parsed_manifest is None:
self.parse()
if self._parsed_manifest is None:
return []
models = []
nodes = getattr(self._parsed_manifest, "nodes", {}) or {}
for node_id, node in nodes.items():
# Only process models (not tests, seeds, snapshots, etc.)
if not node_id.startswith("model."):
continue
model = self._extract_model_from_node(node_id, node)
if model is None:
continue
# Filter by model names if specified
if model_names and model.name not in model_names:
continue
# Filter by tag if specified
if tag_filter and tag_filter not in model.tags:
continue
models.append(model)
return models
def get_model_by_name(self, model_name: str) -> Optional[DbtModel]:
"""
Get a specific model by name.
Args:
model_name: Name of the model to retrieve
Returns:
DbtModel if found, None otherwise
"""
models = self.get_models(model_names=[model_name])
return models[0] if models else None
@property
def dbt_version(self) -> Optional[str]:
"""Get dbt version from manifest metadata."""
if self._parsed_manifest is None:
return None
metadata = getattr(self._parsed_manifest, "metadata", None)
if metadata is None:
return None
return getattr(metadata, "dbt_version", None)
@property
def project_name(self) -> Optional[str]:
"""Get project name from manifest metadata."""
if self._parsed_manifest is None:
return None
metadata = getattr(self._parsed_manifest, "metadata", None)
if metadata is None:
return None
# project_name may not exist in all manifest versions
return getattr(metadata, "project_name", None) or getattr(
metadata, "project_id", None
)