/
business_glossary.py
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/
business_glossary.py
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import logging
import pathlib
import time
from dataclasses import dataclass, field
from typing import Any, Dict, Iterable, List, Optional, TypeVar, Union
from pydantic import validator
from pydantic.fields import Field
import datahub.metadata.schema_classes as models
from datahub.configuration.common import ConfigModel
from datahub.configuration.config_loader import load_config_file
from datahub.emitter.mce_builder import (
datahub_guid,
make_group_urn,
make_user_urn,
validate_ownership_type,
)
from datahub.emitter.mcp import MetadataChangeProposalWrapper
from datahub.ingestion.api.common import PipelineContext
from datahub.ingestion.api.decorators import (
SupportStatus,
config_class,
platform_name,
support_status,
)
from datahub.ingestion.api.source import Source, SourceReport
from datahub.ingestion.api.source_helpers import auto_workunit
from datahub.ingestion.api.workunit import MetadataWorkUnit
from datahub.ingestion.graph.client import DataHubGraph
from datahub.utilities.registries.domain_registry import DomainRegistry
from datahub.utilities.urn_encoder import UrnEncoder
logger = logging.getLogger(__name__)
GlossaryNodeInterface = TypeVar(
"GlossaryNodeInterface", "GlossaryNodeConfig", "BusinessGlossaryConfig"
)
class Owners(ConfigModel):
type: str = models.OwnershipTypeClass.DEVELOPER
users: Optional[List[str]] = None
groups: Optional[List[str]] = None
class KnowledgeCard(ConfigModel):
url: Optional[str] = None
label: Optional[str] = None
class GlossaryTermConfig(ConfigModel):
id: Optional[str] = None
name: str
description: str
term_source: Optional[str] = None
source_ref: Optional[str] = None
source_url: Optional[str] = None
owners: Optional[Owners] = None
inherits: Optional[List[str]] = None
contains: Optional[List[str]] = None
values: Optional[List[str]] = None
related_terms: Optional[List[str]] = None
custom_properties: Optional[Dict[str, str]] = None
knowledge_links: Optional[List[KnowledgeCard]] = None
domain: Optional[str] = None
# Private fields.
_urn: str
class GlossaryNodeConfig(ConfigModel):
id: Optional[str] = None
name: str
description: str
owners: Optional[Owners] = None
terms: Optional[List["GlossaryTermConfig"]] = None
nodes: Optional[List["GlossaryNodeConfig"]] = None
knowledge_links: Optional[List[KnowledgeCard]] = None
custom_properties: Optional[Dict[str, str]] = None
# Private fields.
_urn: str
class DefaultConfig(ConfigModel):
"""Holds defaults for populating fields in glossary terms"""
source: Optional[str] = None
owners: Owners
url: Optional[str] = None
source_type: str = "INTERNAL"
class BusinessGlossarySourceConfig(ConfigModel):
file: Union[str, pathlib.Path] = Field(
description="File path or URL to business glossary file to ingest."
)
enable_auto_id: bool = Field(
description="Generate guid urns instead of a plaintext path urn with the node/term's hierarchy.",
default=False,
)
class BusinessGlossaryConfig(DefaultConfig):
version: str
terms: Optional[List["GlossaryTermConfig"]] = None
nodes: Optional[List["GlossaryNodeConfig"]] = None
@validator("version")
def version_must_be_1(cls, v):
if v != "1":
raise ValueError("Only version 1 is supported")
return v
def create_id(path: List[str], default_id: Optional[str], enable_auto_id: bool) -> str:
if default_id is not None:
return default_id # No need to create id from path as default_id is provided
id_: str = ".".join(path)
if UrnEncoder.contains_extended_reserved_char(id_):
enable_auto_id = True
if enable_auto_id:
id_ = datahub_guid({"path": id_})
return id_
def make_glossary_node_urn(
path: List[str], default_id: Optional[str], enable_auto_id: bool
) -> str:
if default_id is not None and default_id.startswith("urn:li:glossaryNode:"):
logger.debug(
f"node's default_id({default_id}) is in urn format for path {path}. Returning same as urn"
)
return default_id
return "urn:li:glossaryNode:" + create_id(path, default_id, enable_auto_id)
def make_glossary_term_urn(
path: List[str], default_id: Optional[str], enable_auto_id: bool
) -> str:
if default_id is not None and default_id.startswith("urn:li:glossaryTerm:"):
logger.debug(
f"term's default_id({default_id}) is in urn format for path {path}. Returning same as urn"
)
return default_id
return "urn:li:glossaryTerm:" + create_id(path, default_id, enable_auto_id)
def get_owners(owners: Owners) -> models.OwnershipClass:
ownership_type, ownership_type_urn = validate_ownership_type(owners.type)
owners_meta: List[models.OwnerClass] = []
if owners.users is not None:
owners_meta = owners_meta + [
models.OwnerClass(
owner=make_user_urn(o),
type=ownership_type,
typeUrn=ownership_type_urn,
)
for o in owners.users
]
if owners.groups is not None:
owners_meta = owners_meta + [
models.OwnerClass(
owner=make_group_urn(o),
type=ownership_type,
typeUrn=ownership_type_urn,
)
for o in owners.groups
]
return models.OwnershipClass(owners=owners_meta)
def get_mces(
glossary: BusinessGlossaryConfig,
path_vs_id: Dict[str, str],
ingestion_config: BusinessGlossarySourceConfig,
ctx: PipelineContext,
) -> Iterable[Union[MetadataChangeProposalWrapper, models.MetadataChangeEventClass]]:
root_owners = get_owners(glossary.owners)
if glossary.nodes:
for node in glossary.nodes:
yield from get_mces_from_node(
node,
path_vs_id=path_vs_id,
parentNode=None,
parentOwners=root_owners,
defaults=glossary,
ingestion_config=ingestion_config,
ctx=ctx,
)
if glossary.terms:
for term in glossary.terms:
yield from get_mces_from_term(
term,
path_vs_id=path_vs_id,
parentNode=None,
parentOwnership=root_owners,
defaults=glossary,
ingestion_config=ingestion_config,
ctx=ctx,
)
def get_mce_from_snapshot(snapshot: Any) -> models.MetadataChangeEventClass:
return models.MetadataChangeEventClass(proposedSnapshot=snapshot)
def make_institutional_memory_mcp(
urn: str, knowledge_cards: List[KnowledgeCard]
) -> Optional[MetadataChangeProposalWrapper]:
elements: List[models.InstitutionalMemoryMetadataClass] = []
for knowledge_card in knowledge_cards:
if knowledge_card.label and knowledge_card.url:
elements.append(
models.InstitutionalMemoryMetadataClass(
url=knowledge_card.url,
description=knowledge_card.label,
createStamp=models.AuditStampClass(
time=int(time.time() * 1000.0),
actor="urn:li:corpuser:datahub",
message="ingestion bot",
),
)
)
if elements:
return MetadataChangeProposalWrapper(
entityUrn=urn,
aspect=models.InstitutionalMemoryClass(elements=elements),
)
return None
def make_domain_mcp(
term_urn: str, domain_aspect: models.DomainsClass
) -> MetadataChangeProposalWrapper:
return MetadataChangeProposalWrapper(entityUrn=term_urn, aspect=domain_aspect)
def get_mces_from_node(
glossaryNode: GlossaryNodeConfig,
path_vs_id: Dict[str, str],
parentNode: Optional[str],
parentOwners: models.OwnershipClass,
defaults: DefaultConfig,
ingestion_config: BusinessGlossarySourceConfig,
ctx: PipelineContext,
) -> Iterable[Union[MetadataChangeProposalWrapper, models.MetadataChangeEventClass]]:
node_urn = glossaryNode._urn
node_info = models.GlossaryNodeInfoClass(
definition=glossaryNode.description,
parentNode=parentNode,
name=glossaryNode.name,
customProperties=glossaryNode.custom_properties,
)
node_owners = parentOwners
if glossaryNode.owners is not None:
assert glossaryNode.owners is not None
node_owners = get_owners(glossaryNode.owners)
node_snapshot = models.GlossaryNodeSnapshotClass(
urn=node_urn,
aspects=[node_info, node_owners],
)
yield get_mce_from_snapshot(node_snapshot)
if glossaryNode.knowledge_links is not None:
mcp: Optional[MetadataChangeProposalWrapper] = make_institutional_memory_mcp(
node_urn, glossaryNode.knowledge_links
)
if mcp is not None:
yield mcp
if glossaryNode.nodes:
for node in glossaryNode.nodes:
yield from get_mces_from_node(
node,
path_vs_id=path_vs_id,
parentNode=node_urn,
parentOwners=node_owners,
defaults=defaults,
ingestion_config=ingestion_config,
ctx=ctx,
)
if glossaryNode.terms:
for term in glossaryNode.terms:
yield from get_mces_from_term(
glossaryTerm=term,
path_vs_id=path_vs_id,
parentNode=node_urn,
parentOwnership=node_owners,
defaults=defaults,
ingestion_config=ingestion_config,
ctx=ctx,
)
def get_domain_class(
graph: Optional[DataHubGraph], domains: List[str]
) -> models.DomainsClass:
# FIXME: In the ideal case, the domain registry would be an instance variable so that it
# preserves its cache across calls to this function. However, the current implementation
# requires the full list of domains to be passed in at instantiation time, so we can't
# actually do that.
domain_registry: DomainRegistry = DomainRegistry(
cached_domains=[k for k in domains], graph=graph
)
domain_class = models.DomainsClass(
domains=[domain_registry.get_domain_urn(domain) for domain in domains]
)
return domain_class
def get_mces_from_term(
glossaryTerm: GlossaryTermConfig,
path_vs_id: Dict[str, str],
parentNode: Optional[str],
parentOwnership: models.OwnershipClass,
defaults: DefaultConfig,
ingestion_config: BusinessGlossarySourceConfig,
ctx: PipelineContext,
) -> Iterable[Union[models.MetadataChangeEventClass, MetadataChangeProposalWrapper]]:
term_urn = glossaryTerm._urn
aspects: List[
Union[
models.GlossaryTermInfoClass,
models.GlossaryRelatedTermsClass,
models.OwnershipClass,
models.GlossaryTermKeyClass,
models.StatusClass,
models.BrowsePathsClass,
]
] = []
term_info = models.GlossaryTermInfoClass(
definition=glossaryTerm.description,
termSource=(
glossaryTerm.term_source
if glossaryTerm.term_source is not None
else defaults.source_type
),
sourceRef=(
glossaryTerm.source_ref if glossaryTerm.source_ref else defaults.source
),
sourceUrl=glossaryTerm.source_url if glossaryTerm.source_url else defaults.url,
parentNode=parentNode,
customProperties=glossaryTerm.custom_properties,
name=glossaryTerm.name,
)
aspects.append(term_info)
is_a = None
has_a = None
values: Union[None, List[str]] = None
related_terms: Union[None, List[str]] = None
if glossaryTerm.inherits is not None:
assert glossaryTerm.inherits is not None
is_a = [
make_glossary_term_urn(
[term],
default_id=path_vs_id.get(term),
enable_auto_id=ingestion_config.enable_auto_id,
)
for term in glossaryTerm.inherits
]
if glossaryTerm.contains is not None:
assert glossaryTerm.contains is not None
has_a = [
make_glossary_term_urn(
[term],
default_id=path_vs_id.get(term),
enable_auto_id=ingestion_config.enable_auto_id,
)
for term in glossaryTerm.contains
]
if glossaryTerm.values is not None:
assert glossaryTerm.values is not None
values = [
make_glossary_term_urn(
[term],
default_id=path_vs_id.get(term),
enable_auto_id=ingestion_config.enable_auto_id,
)
for term in glossaryTerm.values
]
if glossaryTerm.related_terms is not None:
assert glossaryTerm.related_terms is not None
related_terms = [
make_glossary_term_urn(
[term],
default_id=path_vs_id.get(term),
enable_auto_id=ingestion_config.enable_auto_id,
)
for term in glossaryTerm.related_terms
]
if (
is_a is not None
or has_a is not None
or values is not None
or related_terms is not None
):
related_term_aspect = models.GlossaryRelatedTermsClass(
isRelatedTerms=is_a,
hasRelatedTerms=has_a,
values=values,
relatedTerms=related_terms,
)
aspects.append(related_term_aspect)
ownership: models.OwnershipClass = parentOwnership
if glossaryTerm.owners is not None:
assert glossaryTerm.owners is not None
ownership = get_owners(glossaryTerm.owners)
aspects.append(ownership)
if glossaryTerm.domain is not None:
yield make_domain_mcp(
term_urn, get_domain_class(ctx.graph, [glossaryTerm.domain])
)
term_snapshot: models.GlossaryTermSnapshotClass = models.GlossaryTermSnapshotClass(
urn=term_urn,
aspects=aspects,
)
yield get_mce_from_snapshot(term_snapshot)
if glossaryTerm.knowledge_links:
mcp: Optional[MetadataChangeProposalWrapper] = make_institutional_memory_mcp(
term_urn, glossaryTerm.knowledge_links
)
if mcp is not None:
yield mcp
def materialize_all_node_urns(
glossary: BusinessGlossaryConfig, enable_auto_id: bool
) -> None:
"""After this runs, all nodes will have an id value that is a valid urn."""
def _process_child_terms(
parent_node: GlossaryNodeInterface, path: List[str]
) -> None:
for term in parent_node.terms or []:
term._urn = make_glossary_term_urn(
path + [term.name], term.id, enable_auto_id
)
for node in parent_node.nodes or []:
node._urn = make_glossary_node_urn(
path + [node.name], node.id, enable_auto_id
)
_process_child_terms(node, path + [node.name])
_process_child_terms(glossary, [])
def populate_path_vs_id(glossary: BusinessGlossaryConfig) -> Dict[str, str]:
# This needed to map paths present in inherits, contains, values, and related_terms to term's
# urn, if one was manually specified.
path_vs_id: Dict[str, str] = {}
def _process_child_terms(
parent_node: GlossaryNodeInterface, path: List[str]
) -> None:
for term in parent_node.terms or []:
path_vs_id[".".join(path + [term.name])] = term._urn
for node in parent_node.nodes or []:
path_vs_id[".".join(path + [node.name])] = node._urn
_process_child_terms(node, path + [node.name])
_process_child_terms(glossary, [])
return path_vs_id
@platform_name("Business Glossary")
@config_class(BusinessGlossarySourceConfig)
@support_status(SupportStatus.CERTIFIED)
@dataclass
class BusinessGlossaryFileSource(Source):
"""
This plugin pulls business glossary metadata from a yaml-formatted file. An example of one such file is located in the examples directory [here](https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/examples/bootstrap_data/business_glossary.yml).
"""
config: BusinessGlossarySourceConfig
report: SourceReport = field(default_factory=SourceReport)
@classmethod
def create(cls, config_dict, ctx):
config = BusinessGlossarySourceConfig.parse_obj(config_dict)
return cls(ctx, config)
@classmethod
def load_glossary_config(
cls, file_name: Union[str, pathlib.Path]
) -> BusinessGlossaryConfig:
config = load_config_file(file_name, resolve_env_vars=True)
glossary_cfg = BusinessGlossaryConfig.parse_obj(config)
return glossary_cfg
def get_workunits_internal(
self,
) -> Iterable[MetadataWorkUnit]:
glossary_config = self.load_glossary_config(self.config.file)
materialize_all_node_urns(glossary_config, self.config.enable_auto_id)
path_vs_id = populate_path_vs_id(glossary_config)
for event in auto_workunit(
get_mces(
glossary_config, path_vs_id, ingestion_config=self.config, ctx=self.ctx
)
):
yield event
def get_report(self):
return self.report