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# Copyright Contributors to the Amundsen project.
# SPDX-License-Identifier: Apache-2.0
import copy
from typing import (
Any, Dict, Iterable, Iterator, List, Optional, Set, Union,
)
from amundsen_rds.models import RDSModel
from amundsen_rds.models.cluster import Cluster as RDSCluster
from amundsen_rds.models.column import (
ColumnBadge as RDSColumnBadge, ColumnDescription as RDSColumnDescription, TableColumn as RDSTableColumn,
)
from amundsen_rds.models.database import Database as RDSDatabase
from amundsen_rds.models.schema import Schema as RDSSchema
from amundsen_rds.models.table import (
Table as RDSTable, TableDescription as RDSTableDescription,
TableProgrammaticDescription as RDSTableProgrammaticDescription, TableTag as RDSTableTag,
)
from amundsen_rds.models.tag import Tag as RDSTag
from databuilder.models.badge import Badge, BadgeMetadata
from databuilder.models.cluster import cluster_constants
from databuilder.models.graph_node import GraphNode
from databuilder.models.graph_relationship import GraphRelationship
from databuilder.models.graph_serializable import GraphSerializable
from databuilder.models.schema import schema_constant
from databuilder.models.table_serializable import TableSerializable
DESCRIPTION_NODE_LABEL_VAL = 'Description'
DESCRIPTION_NODE_LABEL = DESCRIPTION_NODE_LABEL_VAL
def _format_as_list(tags: Union[List, str, None]) -> List:
if tags is None:
tags = []
if isinstance(tags, str):
tags = list(filter(None, tags.split(',')))
if isinstance(tags, list):
tags = [tag.lower().strip() for tag in tags]
return tags
class TagMetadata(GraphSerializable, TableSerializable):
TAG_NODE_LABEL = 'Tag'
TAG_KEY_FORMAT = '{tag}'
TAG_TYPE = 'tag_type'
DEFAULT_TYPE = 'default'
BADGE_TYPE = 'badge'
DASHBOARD_TYPE = 'dashboard'
METRIC_TYPE = 'metric'
def __init__(self,
name: str,
tag_type: str = 'default',
):
self._name = name
self._tag_type = tag_type
self._nodes = self._create_node_iterator()
self._relations = self._create_relation_iterator()
self._records = self._create_record_iterator()
@staticmethod
def get_tag_key(name: str) -> str:
if not name:
return ''
return TagMetadata.TAG_KEY_FORMAT.format(tag=name)
def get_node(self) -> GraphNode:
node = GraphNode(
key=TagMetadata.get_tag_key(self._name),
label=TagMetadata.TAG_NODE_LABEL,
attributes={
TagMetadata.TAG_TYPE: self._tag_type
}
)
return node
def get_record(self) -> RDSModel:
record = RDSTag(
rk=TagMetadata.get_tag_key(self._name),
tag_type=self._tag_type
)
return record
def create_next_node(self) -> Optional[GraphNode]:
# return the string representation of the data
try:
return next(self._nodes)
except StopIteration:
return None
def create_next_relation(self) -> Optional[GraphRelationship]:
# We don't emit any relations for Tag ingestion
try:
return next(self._relations)
except StopIteration:
return None
def create_next_record(self) -> Union[RDSModel, None]:
try:
return next(self._records)
except StopIteration:
return None
def _create_node_iterator(self) -> Iterator[GraphNode]:
node = self.get_node()
yield node
def _create_relation_iterator(self) -> Iterator[GraphRelationship]:
return
yield
def _create_record_iterator(self) -> Iterator[RDSModel]:
record = self.get_record()
yield record
# TODO: this should inherit from ProgrammaticDescription in amundsen-common
class DescriptionMetadata(GraphSerializable):
DESCRIPTION_NODE_LABEL = DESCRIPTION_NODE_LABEL_VAL
PROGRAMMATIC_DESCRIPTION_NODE_LABEL = 'Programmatic_Description'
DESCRIPTION_KEY_FORMAT = '{description}'
DESCRIPTION_TEXT = 'description'
DESCRIPTION_SOURCE = 'description_source'
DESCRIPTION_RELATION_TYPE = 'DESCRIPTION'
INVERSE_DESCRIPTION_RELATION_TYPE = 'DESCRIPTION_OF'
# The default editable source.
DEFAULT_SOURCE = "description"
def __init__(self,
text: Optional[str],
source: str = DEFAULT_SOURCE,
description_key: Optional[str] = None,
start_label: Optional[str] = None, # Table, Column, Schema
start_key: Optional[str] = None,
):
"""
:param source: The unique source of what is populating this description.
:param text: the description text. Markdown supported.
"""
self.source = source
self.text = text
# There are so many dependencies on Description node, that it is probably easier to just separate the rest out.
if self.source == self.DEFAULT_SOURCE:
self.label = self.DESCRIPTION_NODE_LABEL
else:
self.label = self.PROGRAMMATIC_DESCRIPTION_NODE_LABEL
self.start_label = start_label
self.start_key = start_key
self.description_key = description_key or self.get_description_default_key(start_key)
self._node_iter = self._create_node_iterator()
self._relation_iter = self._create_relation_iterator()
@staticmethod
def create_description_metadata(text: Union[None, str],
source: Optional[str] = DEFAULT_SOURCE,
description_key: Optional[str] = None,
start_label: Optional[str] = None, # Table, Column, Schema
start_key: Optional[str] = None,
) -> Optional['DescriptionMetadata']:
# We do not want to create a node if there is no description text!
if text is None:
return None
description_node = DescriptionMetadata(text=text,
source=source or DescriptionMetadata.DEFAULT_SOURCE,
description_key=description_key,
start_label=start_label,
start_key=start_key)
return description_node
def get_description_id(self) -> str:
if self.source == self.DEFAULT_SOURCE:
return "_description"
else:
return "_" + self.source + "_description"
def get_description_default_key(self, start_key: Optional[str]) -> Optional[str]:
return f'{start_key}/{self.get_description_id()}' if start_key else None
def get_node(self, node_key: str) -> GraphNode:
node = GraphNode(
key=node_key,
label=self.label,
attributes={
DescriptionMetadata.DESCRIPTION_SOURCE: self.source,
DescriptionMetadata.DESCRIPTION_TEXT: self.text
}
)
return node
def get_relation(self,
start_node: str,
start_key: str,
end_key: str,
) -> GraphRelationship:
relationship = GraphRelationship(
start_label=start_node,
start_key=start_key,
end_label=self.label,
end_key=end_key,
type=DescriptionMetadata.DESCRIPTION_RELATION_TYPE,
reverse_type=DescriptionMetadata.INVERSE_DESCRIPTION_RELATION_TYPE,
attributes={}
)
return relationship
def create_next_node(self) -> Optional[GraphNode]:
# return the string representation of the data
try:
return next(self._node_iter)
except StopIteration:
return None
def create_next_relation(self) -> Optional[GraphRelationship]:
try:
return next(self._relation_iter)
except StopIteration:
return None
def _create_node_iterator(self) -> Iterator[GraphNode]:
if not self.description_key:
raise Exception('Required description node key cannot be None')
yield self.get_node(self.description_key)
def _create_relation_iterator(self) -> Iterator[GraphRelationship]:
if not self.start_label:
raise Exception('Required relation start node label cannot be None')
if not self.start_key:
raise Exception('Required relation start key cannot be None')
if not self.description_key:
raise Exception('Required relation end key cannot be None')
yield self.get_relation(
start_node=self.start_label,
start_key=self.start_key,
end_key=self.description_key
)
def __repr__(self) -> str:
return f'DescriptionMetadata({self.source!r}, {self.text!r})'
class ColumnMetadata:
COLUMN_NODE_LABEL = 'Column'
COLUMN_KEY_FORMAT = '{db}://{cluster}.{schema}/{tbl}/{col}'
COLUMN_NAME = 'name'
COLUMN_TYPE = 'col_type'
COLUMN_ORDER = 'sort_order'
COLUMN_DESCRIPTION = 'description'
COLUMN_DESCRIPTION_FORMAT = '{db}://{cluster}.{schema}/{tbl}/{col}/{description_id}'
def __init__(self,
name: str,
description: Union[str, None],
col_type: str,
sort_order: int,
badges: Union[List[str], None] = None,
) -> None:
"""
TODO: Add stats
:param name:
:param description:
:param col_type:
:param sort_order:
:param badges: Optional. Column level badges
"""
self.name = name
self.description = DescriptionMetadata.create_description_metadata(source=None,
text=description)
self.type = col_type
self.sort_order = sort_order
formatted_badges = _format_as_list(badges)
self.badges = [Badge(badge, 'column') for badge in formatted_badges]
def __repr__(self) -> str:
return f'ColumnMetadata({self.name!r}, {self.description!r}, {self.type!r}, ' \
f'{self.sort_order!r}, {self.badges!r})'
class TableMetadata(GraphSerializable, TableSerializable):
"""
Table metadata that contains columns. It implements Neo4jCsvSerializable so that it can be serialized to produce
Table, Column and relation of those along with relationship with table and schema. Additionally, it will create
Database, Cluster, and Schema with relastionships between those.
These are being created here as it does not make much sense to have different extraction to produce this. As
database, cluster, schema would be very repititive with low cardinality, it will perform de-dupe so that publisher
won't need to publish same nodes, relationships.
This class can be used for both table and view metadata. If it is a View, is_view=True should be passed in.
"""
TABLE_NODE_LABEL = 'Table'
TABLE_KEY_FORMAT = '{db}://{cluster}.{schema}/{tbl}'
TABLE_NAME = 'name'
IS_VIEW = 'is_view'
TABLE_DESCRIPTION_FORMAT = '{db}://{cluster}.{schema}/{tbl}/{description_id}'
DATABASE_NODE_LABEL = 'Database'
DATABASE_KEY_FORMAT = 'database://{db}'
DATABASE_CLUSTER_RELATION_TYPE = cluster_constants.CLUSTER_RELATION_TYPE
CLUSTER_DATABASE_RELATION_TYPE = cluster_constants.CLUSTER_REVERSE_RELATION_TYPE
CLUSTER_NODE_LABEL = cluster_constants.CLUSTER_NODE_LABEL
CLUSTER_KEY_FORMAT = '{db}://{cluster}'
CLUSTER_SCHEMA_RELATION_TYPE = schema_constant.SCHEMA_RELATION_TYPE
SCHEMA_CLUSTER_RELATION_TYPE = schema_constant.SCHEMA_REVERSE_RELATION_TYPE
SCHEMA_NODE_LABEL = schema_constant.SCHEMA_NODE_LABEL
SCHEMA_KEY_FORMAT = schema_constant.DATABASE_SCHEMA_KEY_FORMAT
SCHEMA_TABLE_RELATION_TYPE = 'TABLE'
TABLE_SCHEMA_RELATION_TYPE = 'TABLE_OF'
TABLE_COL_RELATION_TYPE = 'COLUMN'
COL_TABLE_RELATION_TYPE = 'COLUMN_OF'
TABLE_TAG_RELATION_TYPE = 'TAGGED_BY'
TAG_TABLE_RELATION_TYPE = 'TAG'
# Only for deduping database, cluster, and schema (table and column will be always processed)
serialized_nodes_keys: Set[Any] = set()
serialized_rels_keys: Set[Any] = set()
serialized_records_keys: Set[Any] = set()
def __init__(self,
database: str,
cluster: str,
schema: str,
name: str,
description: Union[str, None],
columns: Iterable[ColumnMetadata] = None,
is_view: bool = False,
tags: Union[List, str] = None,
description_source: Union[str, None] = None,
**kwargs: Any
) -> None:
"""
:param database:
:param cluster:
:param schema:
:param name:
:param description:
:param columns:
:param is_view: Indicate whether the table is a view or not
:param tags:
:param description_source: Optional. Where the description is coming from. Used to compose unique id.
:param kwargs: Put additional attributes to the table model if there is any.
"""
self.database = database
self.cluster = cluster
self.schema = schema
self.name = name
self.description = DescriptionMetadata.create_description_metadata(text=description, source=description_source)
self.columns = columns if columns else []
self.is_view = is_view
self.attrs: Optional[Dict[str, Any]] = None
self.tags = _format_as_list(tags)
if kwargs:
self.attrs = copy.deepcopy(kwargs)
self._node_iterator = self._create_next_node()
self._relation_iterator = self._create_next_relation()
self._record_iterator = self._create_record_iterator()
def __repr__(self) -> str:
return f'TableMetadata({self.database!r}, {self.cluster!r}, {self.schema!r}, {self.name!r} ' \
f'{self.description!r}, {self.columns!r}, {self.is_view!r}, {self.tags!r})'
def _get_table_key(self) -> str:
return TableMetadata.TABLE_KEY_FORMAT.format(db=self.database,
cluster=self.cluster,
schema=self.schema,
tbl=self.name)
def _get_table_description_key(self, description: DescriptionMetadata) -> str:
return TableMetadata.TABLE_DESCRIPTION_FORMAT.format(db=self.database,
cluster=self.cluster,
schema=self.schema,
tbl=self.name,
description_id=description.get_description_id())
def _get_database_key(self) -> str:
return TableMetadata.DATABASE_KEY_FORMAT.format(db=self.database)
def _get_cluster_key(self) -> str:
return TableMetadata.CLUSTER_KEY_FORMAT.format(db=self.database,
cluster=self.cluster)
def _get_schema_key(self) -> str:
return TableMetadata.SCHEMA_KEY_FORMAT.format(db=self.database,
cluster=self.cluster,
schema=self.schema)
def _get_col_key(self, col: ColumnMetadata) -> str:
return ColumnMetadata.COLUMN_KEY_FORMAT.format(db=self.database,
cluster=self.cluster,
schema=self.schema,
tbl=self.name,
col=col.name,
badges=col.badges)
def _get_col_description_key(self,
col: ColumnMetadata,
description: DescriptionMetadata) -> str:
return ColumnMetadata.COLUMN_DESCRIPTION_FORMAT.format(db=self.database,
cluster=self.cluster,
schema=self.schema,
tbl=self.name,
col=col.name,
description_id=description.get_description_id())
@staticmethod
def format_tags(tags: Union[List, str, None]) -> List:
return _format_as_list(tags)
def create_next_node(self) -> Union[GraphNode, None]:
try:
return next(self._node_iterator)
except StopIteration:
return None
def _create_next_node(self) -> Iterator[GraphNode]:
yield self._create_table_node()
if self.description:
node_key = self._get_table_description_key(self.description)
yield self.description.get_node(node_key)
# Create the table tag nodes
if self.tags:
for tag in self.tags:
tag_node = TagMetadata(tag).get_node()
yield tag_node
for col in self.columns:
column_node = GraphNode(
key=self._get_col_key(col),
label=ColumnMetadata.COLUMN_NODE_LABEL,
attributes={
ColumnMetadata.COLUMN_NAME: col.name,
ColumnMetadata.COLUMN_TYPE: col.type,
ColumnMetadata.COLUMN_ORDER: col.sort_order
}
)
yield column_node
if col.description:
node_key = self._get_col_description_key(col, col.description)
yield col.description.get_node(node_key)
if col.badges:
col_badge_metadata = BadgeMetadata(
start_label=ColumnMetadata.COLUMN_NODE_LABEL,
start_key=self._get_col_key(col),
badges=col.badges)
badge_nodes = col_badge_metadata.get_badge_nodes()
for node in badge_nodes:
yield node
# Database, cluster, schema
others = [
GraphNode(
key=self._get_database_key(),
label=TableMetadata.DATABASE_NODE_LABEL,
attributes={
'name': self.database
}
),
GraphNode(
key=self._get_cluster_key(),
label=TableMetadata.CLUSTER_NODE_LABEL,
attributes={
'name': self.cluster
}
),
GraphNode(
key=self._get_schema_key(),
label=TableMetadata.SCHEMA_NODE_LABEL,
attributes={
'name': self.schema
}
)
]
for node_tuple in others:
if node_tuple.key not in TableMetadata.serialized_nodes_keys:
TableMetadata.serialized_nodes_keys.add(node_tuple.key)
yield node_tuple
def _create_table_node(self) -> GraphNode:
table_attributes = {
TableMetadata.TABLE_NAME: self.name,
TableMetadata.IS_VIEW: self.is_view
}
if self.attrs:
for k, v in self.attrs.items():
if k not in table_attributes:
table_attributes[k] = v
return GraphNode(
key=self._get_table_key(),
label=TableMetadata.TABLE_NODE_LABEL,
attributes=table_attributes
)
def create_next_relation(self) -> Union[GraphRelationship, None]:
try:
return next(self._relation_iterator)
except StopIteration:
return None
def _create_next_relation(self) -> Iterator[GraphRelationship]:
schema_table_relationship = GraphRelationship(
start_key=self._get_schema_key(),
start_label=TableMetadata.SCHEMA_NODE_LABEL,
end_key=self._get_table_key(),
end_label=TableMetadata.TABLE_NODE_LABEL,
type=TableMetadata.SCHEMA_TABLE_RELATION_TYPE,
reverse_type=TableMetadata.TABLE_SCHEMA_RELATION_TYPE,
attributes={}
)
yield schema_table_relationship
if self.description:
yield self.description.get_relation(TableMetadata.TABLE_NODE_LABEL,
self._get_table_key(),
self._get_table_description_key(self.description))
if self.tags:
for tag in self.tags:
tag_relationship = GraphRelationship(
start_label=TableMetadata.TABLE_NODE_LABEL,
start_key=self._get_table_key(),
end_label=TagMetadata.TAG_NODE_LABEL,
end_key=TagMetadata.get_tag_key(tag),
type=TableMetadata.TABLE_TAG_RELATION_TYPE,
reverse_type=TableMetadata.TAG_TABLE_RELATION_TYPE,
attributes={}
)
yield tag_relationship
for col in self.columns:
column_relationship = GraphRelationship(
start_label=TableMetadata.TABLE_NODE_LABEL,
start_key=self._get_table_key(),
end_label=ColumnMetadata.COLUMN_NODE_LABEL,
end_key=self._get_col_key(col),
type=TableMetadata.TABLE_COL_RELATION_TYPE,
reverse_type=TableMetadata.COL_TABLE_RELATION_TYPE,
attributes={}
)
yield column_relationship
if col.description:
yield col.description.get_relation(
ColumnMetadata.COLUMN_NODE_LABEL,
self._get_col_key(col),
self._get_col_description_key(col, col.description)
)
if col.badges:
badge_metadata = BadgeMetadata(start_label=ColumnMetadata.COLUMN_NODE_LABEL,
start_key=self._get_col_key(col),
badges=col.badges)
badge_relations = badge_metadata.get_badge_relations()
for relation in badge_relations:
yield relation
others = [
GraphRelationship(
start_label=TableMetadata.DATABASE_NODE_LABEL,
end_label=TableMetadata.CLUSTER_NODE_LABEL,
start_key=self._get_database_key(),
end_key=self._get_cluster_key(),
type=TableMetadata.DATABASE_CLUSTER_RELATION_TYPE,
reverse_type=TableMetadata.CLUSTER_DATABASE_RELATION_TYPE,
attributes={}
),
GraphRelationship(
start_label=TableMetadata.CLUSTER_NODE_LABEL,
end_label=TableMetadata.SCHEMA_NODE_LABEL,
start_key=self._get_cluster_key(),
end_key=self._get_schema_key(),
type=TableMetadata.CLUSTER_SCHEMA_RELATION_TYPE,
reverse_type=TableMetadata.SCHEMA_CLUSTER_RELATION_TYPE,
attributes={}
)
]
for rel_tuple in others:
if (rel_tuple.start_key, rel_tuple.end_key, rel_tuple.type) not in TableMetadata.serialized_rels_keys:
TableMetadata.serialized_rels_keys.add((rel_tuple.start_key, rel_tuple.end_key, rel_tuple.type))
yield rel_tuple
def create_next_record(self) -> Union[RDSModel, None]:
try:
return next(self._record_iterator)
except StopIteration:
return None
def _create_record_iterator(self) -> Iterator[RDSModel]:
# Database, Cluster, Schema
others: List[RDSModel] = [
RDSDatabase(
rk=self._get_database_key(),
name=self.database
),
RDSCluster(
rk=self._get_cluster_key(),
name=self.cluster,
database_rk=self._get_database_key()
),
RDSSchema(
rk=self._get_schema_key(),
name=self.schema,
cluster_rk=self._get_cluster_key()
)
]
for record in others:
if record.rk not in TableMetadata.serialized_records_keys:
TableMetadata.serialized_records_keys.add(record.rk)
yield record
# Table
yield RDSTable(
rk=self._get_table_key(),
name=self.name,
is_view=self.is_view,
schema_rk=self._get_schema_key()
)
# Table description
if self.description:
description_record_key = self._get_table_description_key(self.description)
if self.description.label == DescriptionMetadata.DESCRIPTION_NODE_LABEL:
yield RDSTableDescription(
rk=description_record_key,
description_source=self.description.source,
description=self.description.text,
table_rk=self._get_table_key()
)
else:
yield RDSTableProgrammaticDescription(
rk=description_record_key,
description_source=self.description.source,
description=self.description.text,
table_rk=self._get_table_key()
)
# Tag
for tag in self.tags:
tag_record = TagMetadata(tag).get_record()
yield tag_record
table_tag_record = RDSTableTag(
table_rk=self._get_table_key(),
tag_rk=TagMetadata.get_tag_key(tag)
)
yield table_tag_record
# Column
for col in self.columns:
yield RDSTableColumn(
rk=self._get_col_key(col),
name=col.name,
type=col.type,
sort_order=col.sort_order,
table_rk=self._get_table_key()
)
if col.description:
description_record_key = self._get_col_description_key(col, col.description)
yield RDSColumnDescription(
rk=description_record_key,
description_source=col.description.source,
description=col.description.text,
column_rk=self._get_col_key(col)
)
if col.badges:
badge_metadata = BadgeMetadata(
start_label=ColumnMetadata.COLUMN_NODE_LABEL,
start_key=self._get_col_key(col),
badges=col.badges
)
badge_records = badge_metadata.get_badge_records()
for badge_record in badge_records:
yield badge_record
column_badge_record = RDSColumnBadge(
column_rk=self._get_col_key(col),
badge_rk=badge_record.rk
)
yield column_badge_record