sqlglot.lineage
1from __future__ import annotations 2 3import json 4import logging 5import typing as t 6from dataclasses import dataclass, field 7 8from sqlglot import Schema, exp, maybe_parse 9from sqlglot.errors import SqlglotError 10from sqlglot.optimizer import Scope, build_scope, find_all_in_scope, normalize_identifiers, qualify 11from sqlglot.optimizer.scope import ScopeType 12 13if t.TYPE_CHECKING: 14 from sqlglot.dialects.dialect import DialectType 15 16logger = logging.getLogger("sqlglot") 17 18 19@dataclass(frozen=True) 20class Node: 21 name: str 22 expression: exp.Expression 23 source: exp.Expression 24 downstream: t.List[Node] = field(default_factory=list) 25 source_name: str = "" 26 reference_node_name: str = "" 27 28 def walk(self) -> t.Iterator[Node]: 29 yield self 30 31 for d in self.downstream: 32 yield from d.walk() 33 34 def to_html(self, dialect: DialectType = None, **opts) -> GraphHTML: 35 nodes = {} 36 edges = [] 37 38 for node in self.walk(): 39 if isinstance(node.expression, exp.Table): 40 label = f"FROM {node.expression.this}" 41 title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>" 42 group = 1 43 else: 44 label = node.expression.sql(pretty=True, dialect=dialect) 45 source = node.source.transform( 46 lambda n: ( 47 exp.Tag(this=n, prefix="<b>", postfix="</b>") if n is node.expression else n 48 ), 49 copy=False, 50 ).sql(pretty=True, dialect=dialect) 51 title = f"<pre>{source}</pre>" 52 group = 0 53 54 node_id = id(node) 55 56 nodes[node_id] = { 57 "id": node_id, 58 "label": label, 59 "title": title, 60 "group": group, 61 } 62 63 for d in node.downstream: 64 edges.append({"from": node_id, "to": id(d)}) 65 return GraphHTML(nodes, edges, **opts) 66 67 68def lineage( 69 column: str | exp.Column, 70 sql: str | exp.Expression, 71 schema: t.Optional[t.Dict | Schema] = None, 72 sources: t.Optional[t.Mapping[str, str | exp.Query]] = None, 73 dialect: DialectType = None, 74 scope: t.Optional[Scope] = None, 75 trim_selects: bool = True, 76 **kwargs, 77) -> Node: 78 """Build the lineage graph for a column of a SQL query. 79 80 Args: 81 column: The column to build the lineage for. 82 sql: The SQL string or expression. 83 schema: The schema of tables. 84 sources: A mapping of queries which will be used to continue building lineage. 85 dialect: The dialect of input SQL. 86 scope: A pre-created scope to use instead. 87 trim_selects: Whether or not to clean up selects by trimming to only relevant columns. 88 **kwargs: Qualification optimizer kwargs. 89 90 Returns: 91 A lineage node. 92 """ 93 94 expression = maybe_parse(sql, dialect=dialect) 95 column = normalize_identifiers.normalize_identifiers(column, dialect=dialect).name 96 97 if sources: 98 expression = exp.expand( 99 expression, 100 {k: t.cast(exp.Query, maybe_parse(v, dialect=dialect)) for k, v in sources.items()}, 101 dialect=dialect, 102 ) 103 104 if not scope: 105 expression = qualify.qualify( 106 expression, 107 dialect=dialect, 108 schema=schema, 109 **{"validate_qualify_columns": False, "identify": False, **kwargs}, # type: ignore 110 ) 111 112 scope = build_scope(expression) 113 114 if not scope: 115 raise SqlglotError("Cannot build lineage, sql must be SELECT") 116 117 if not any(select.alias_or_name == column for select in scope.expression.selects): 118 raise SqlglotError(f"Cannot find column '{column}' in query.") 119 120 return to_node(column, scope, dialect, trim_selects=trim_selects) 121 122 123def to_node( 124 column: str | int, 125 scope: Scope, 126 dialect: DialectType, 127 scope_name: t.Optional[str] = None, 128 upstream: t.Optional[Node] = None, 129 source_name: t.Optional[str] = None, 130 reference_node_name: t.Optional[str] = None, 131 trim_selects: bool = True, 132) -> Node: 133 # Find the specific select clause that is the source of the column we want. 134 # This can either be a specific, named select or a generic `*` clause. 135 select = ( 136 scope.expression.selects[column] 137 if isinstance(column, int) 138 else next( 139 (select for select in scope.expression.selects if select.alias_or_name == column), 140 exp.Star() if scope.expression.is_star else scope.expression, 141 ) 142 ) 143 144 if isinstance(scope.expression, exp.Subquery): 145 for source in scope.subquery_scopes: 146 return to_node( 147 column, 148 scope=source, 149 dialect=dialect, 150 upstream=upstream, 151 source_name=source_name, 152 reference_node_name=reference_node_name, 153 trim_selects=trim_selects, 154 ) 155 if isinstance(scope.expression, exp.Union): 156 upstream = upstream or Node(name="UNION", source=scope.expression, expression=select) 157 158 index = ( 159 column 160 if isinstance(column, int) 161 else next( 162 ( 163 i 164 for i, select in enumerate(scope.expression.selects) 165 if select.alias_or_name == column or select.is_star 166 ), 167 -1, # mypy will not allow a None here, but a negative index should never be returned 168 ) 169 ) 170 171 if index == -1: 172 raise ValueError(f"Could not find {column} in {scope.expression}") 173 174 for s in scope.union_scopes: 175 to_node( 176 index, 177 scope=s, 178 dialect=dialect, 179 upstream=upstream, 180 source_name=source_name, 181 reference_node_name=reference_node_name, 182 trim_selects=trim_selects, 183 ) 184 185 return upstream 186 187 if trim_selects and isinstance(scope.expression, exp.Select): 188 # For better ergonomics in our node labels, replace the full select with 189 # a version that has only the column we care about. 190 # "x", SELECT x, y FROM foo 191 # => "x", SELECT x FROM foo 192 source = t.cast(exp.Expression, scope.expression.select(select, append=False)) 193 else: 194 source = scope.expression 195 196 # Create the node for this step in the lineage chain, and attach it to the previous one. 197 node = Node( 198 name=f"{scope_name}.{column}" if scope_name else str(column), 199 source=source, 200 expression=select, 201 source_name=source_name or "", 202 reference_node_name=reference_node_name or "", 203 ) 204 205 if upstream: 206 upstream.downstream.append(node) 207 208 subquery_scopes = { 209 id(subquery_scope.expression): subquery_scope for subquery_scope in scope.subquery_scopes 210 } 211 212 for subquery in find_all_in_scope(select, exp.UNWRAPPED_QUERIES): 213 subquery_scope = subquery_scopes.get(id(subquery)) 214 if not subquery_scope: 215 logger.warning(f"Unknown subquery scope: {subquery.sql(dialect=dialect)}") 216 continue 217 218 for name in subquery.named_selects: 219 to_node( 220 name, 221 scope=subquery_scope, 222 dialect=dialect, 223 upstream=node, 224 trim_selects=trim_selects, 225 ) 226 227 # if the select is a star add all scope sources as downstreams 228 if select.is_star: 229 for source in scope.sources.values(): 230 if isinstance(source, Scope): 231 source = source.expression 232 node.downstream.append( 233 Node(name=select.sql(comments=False), source=source, expression=source) 234 ) 235 236 # Find all columns that went into creating this one to list their lineage nodes. 237 source_columns = set(find_all_in_scope(select, exp.Column)) 238 239 # If the source is a UDTF find columns used in the UTDF to generate the table 240 if isinstance(source, exp.UDTF): 241 source_columns |= set(source.find_all(exp.Column)) 242 derived_tables = [ 243 source.expression.parent 244 for source in scope.sources.values() 245 if isinstance(source, Scope) and source.is_derived_table 246 ] 247 else: 248 derived_tables = scope.derived_tables 249 250 source_names = { 251 dt.alias: dt.comments[0].split()[1] 252 for dt in derived_tables 253 if dt.comments and dt.comments[0].startswith("source: ") 254 } 255 256 for c in source_columns: 257 table = c.table 258 source = scope.sources.get(table) 259 260 if isinstance(source, Scope): 261 reference_node_name = None 262 if source.scope_type == ScopeType.DERIVED_TABLE and table not in source_names: 263 reference_node_name = table 264 elif source.scope_type == ScopeType.CTE: 265 selected_node, _ = scope.selected_sources.get(table, (None, None)) 266 reference_node_name = selected_node.name if selected_node else None 267 # The table itself came from a more specific scope. Recurse into that one using the unaliased column name. 268 to_node( 269 c.name, 270 scope=source, 271 dialect=dialect, 272 scope_name=table, 273 upstream=node, 274 source_name=source_names.get(table) or source_name, 275 reference_node_name=reference_node_name, 276 trim_selects=trim_selects, 277 ) 278 else: 279 # The source is not a scope - we've reached the end of the line. At this point, if a source is not found 280 # it means this column's lineage is unknown. This can happen if the definition of a source used in a query 281 # is not passed into the `sources` map. 282 source = source or exp.Placeholder() 283 node.downstream.append( 284 Node(name=c.sql(comments=False), source=source, expression=source) 285 ) 286 287 return node 288 289 290class GraphHTML: 291 """Node to HTML generator using vis.js. 292 293 https://visjs.github.io/vis-network/docs/network/ 294 """ 295 296 def __init__( 297 self, nodes: t.Dict, edges: t.List, imports: bool = True, options: t.Optional[t.Dict] = None 298 ): 299 self.imports = imports 300 301 self.options = { 302 "height": "500px", 303 "width": "100%", 304 "layout": { 305 "hierarchical": { 306 "enabled": True, 307 "nodeSpacing": 200, 308 "sortMethod": "directed", 309 }, 310 }, 311 "interaction": { 312 "dragNodes": False, 313 "selectable": False, 314 }, 315 "physics": { 316 "enabled": False, 317 }, 318 "edges": { 319 "arrows": "to", 320 }, 321 "nodes": { 322 "font": "20px monaco", 323 "shape": "box", 324 "widthConstraint": { 325 "maximum": 300, 326 }, 327 }, 328 **(options or {}), 329 } 330 331 self.nodes = nodes 332 self.edges = edges 333 334 def __str__(self): 335 nodes = json.dumps(list(self.nodes.values())) 336 edges = json.dumps(self.edges) 337 options = json.dumps(self.options) 338 imports = ( 339 """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script> 340 <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script> 341 <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />""" 342 if self.imports 343 else "" 344 ) 345 346 return f"""<div> 347 <div id="sqlglot-lineage"></div> 348 {imports} 349 <script type="text/javascript"> 350 var nodes = new vis.DataSet({nodes}) 351 nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0]) 352 353 new vis.Network( 354 document.getElementById("sqlglot-lineage"), 355 {{ 356 nodes: nodes, 357 edges: new vis.DataSet({edges}) 358 }}, 359 {options}, 360 ) 361 </script> 362</div>""" 363 364 def _repr_html_(self) -> str: 365 return self.__str__()
logger =
<Logger sqlglot (WARNING)>
@dataclass(frozen=True)
class
Node:
20@dataclass(frozen=True) 21class Node: 22 name: str 23 expression: exp.Expression 24 source: exp.Expression 25 downstream: t.List[Node] = field(default_factory=list) 26 source_name: str = "" 27 reference_node_name: str = "" 28 29 def walk(self) -> t.Iterator[Node]: 30 yield self 31 32 for d in self.downstream: 33 yield from d.walk() 34 35 def to_html(self, dialect: DialectType = None, **opts) -> GraphHTML: 36 nodes = {} 37 edges = [] 38 39 for node in self.walk(): 40 if isinstance(node.expression, exp.Table): 41 label = f"FROM {node.expression.this}" 42 title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>" 43 group = 1 44 else: 45 label = node.expression.sql(pretty=True, dialect=dialect) 46 source = node.source.transform( 47 lambda n: ( 48 exp.Tag(this=n, prefix="<b>", postfix="</b>") if n is node.expression else n 49 ), 50 copy=False, 51 ).sql(pretty=True, dialect=dialect) 52 title = f"<pre>{source}</pre>" 53 group = 0 54 55 node_id = id(node) 56 57 nodes[node_id] = { 58 "id": node_id, 59 "label": label, 60 "title": title, 61 "group": group, 62 } 63 64 for d in node.downstream: 65 edges.append({"from": node_id, "to": id(d)}) 66 return GraphHTML(nodes, edges, **opts)
Node( name: str, expression: sqlglot.expressions.Expression, source: sqlglot.expressions.Expression, downstream: List[Node] = <factory>, source_name: str = '', reference_node_name: str = '')
expression: sqlglot.expressions.Expression
source: sqlglot.expressions.Expression
downstream: List[Node]
def
to_html( self, dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None, **opts) -> GraphHTML:
35 def to_html(self, dialect: DialectType = None, **opts) -> GraphHTML: 36 nodes = {} 37 edges = [] 38 39 for node in self.walk(): 40 if isinstance(node.expression, exp.Table): 41 label = f"FROM {node.expression.this}" 42 title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>" 43 group = 1 44 else: 45 label = node.expression.sql(pretty=True, dialect=dialect) 46 source = node.source.transform( 47 lambda n: ( 48 exp.Tag(this=n, prefix="<b>", postfix="</b>") if n is node.expression else n 49 ), 50 copy=False, 51 ).sql(pretty=True, dialect=dialect) 52 title = f"<pre>{source}</pre>" 53 group = 0 54 55 node_id = id(node) 56 57 nodes[node_id] = { 58 "id": node_id, 59 "label": label, 60 "title": title, 61 "group": group, 62 } 63 64 for d in node.downstream: 65 edges.append({"from": node_id, "to": id(d)}) 66 return GraphHTML(nodes, edges, **opts)
def
lineage( column: str | sqlglot.expressions.Column, sql: str | sqlglot.expressions.Expression, schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None, sources: Optional[Mapping[str, str | sqlglot.expressions.Query]] = None, dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None, scope: Optional[sqlglot.optimizer.scope.Scope] = None, trim_selects: bool = True, **kwargs) -> Node:
69def lineage( 70 column: str | exp.Column, 71 sql: str | exp.Expression, 72 schema: t.Optional[t.Dict | Schema] = None, 73 sources: t.Optional[t.Mapping[str, str | exp.Query]] = None, 74 dialect: DialectType = None, 75 scope: t.Optional[Scope] = None, 76 trim_selects: bool = True, 77 **kwargs, 78) -> Node: 79 """Build the lineage graph for a column of a SQL query. 80 81 Args: 82 column: The column to build the lineage for. 83 sql: The SQL string or expression. 84 schema: The schema of tables. 85 sources: A mapping of queries which will be used to continue building lineage. 86 dialect: The dialect of input SQL. 87 scope: A pre-created scope to use instead. 88 trim_selects: Whether or not to clean up selects by trimming to only relevant columns. 89 **kwargs: Qualification optimizer kwargs. 90 91 Returns: 92 A lineage node. 93 """ 94 95 expression = maybe_parse(sql, dialect=dialect) 96 column = normalize_identifiers.normalize_identifiers(column, dialect=dialect).name 97 98 if sources: 99 expression = exp.expand( 100 expression, 101 {k: t.cast(exp.Query, maybe_parse(v, dialect=dialect)) for k, v in sources.items()}, 102 dialect=dialect, 103 ) 104 105 if not scope: 106 expression = qualify.qualify( 107 expression, 108 dialect=dialect, 109 schema=schema, 110 **{"validate_qualify_columns": False, "identify": False, **kwargs}, # type: ignore 111 ) 112 113 scope = build_scope(expression) 114 115 if not scope: 116 raise SqlglotError("Cannot build lineage, sql must be SELECT") 117 118 if not any(select.alias_or_name == column for select in scope.expression.selects): 119 raise SqlglotError(f"Cannot find column '{column}' in query.") 120 121 return to_node(column, scope, dialect, trim_selects=trim_selects)
Build the lineage graph for a column of a SQL query.
Arguments:
- column: The column to build the lineage for.
- sql: The SQL string or expression.
- schema: The schema of tables.
- sources: A mapping of queries which will be used to continue building lineage.
- dialect: The dialect of input SQL.
- scope: A pre-created scope to use instead.
- trim_selects: Whether or not to clean up selects by trimming to only relevant columns.
- **kwargs: Qualification optimizer kwargs.
Returns:
A lineage node.
def
to_node( column: str | int, scope: sqlglot.optimizer.scope.Scope, dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType], scope_name: Optional[str] = None, upstream: Optional[Node] = None, source_name: Optional[str] = None, reference_node_name: Optional[str] = None, trim_selects: bool = True) -> Node:
124def to_node( 125 column: str | int, 126 scope: Scope, 127 dialect: DialectType, 128 scope_name: t.Optional[str] = None, 129 upstream: t.Optional[Node] = None, 130 source_name: t.Optional[str] = None, 131 reference_node_name: t.Optional[str] = None, 132 trim_selects: bool = True, 133) -> Node: 134 # Find the specific select clause that is the source of the column we want. 135 # This can either be a specific, named select or a generic `*` clause. 136 select = ( 137 scope.expression.selects[column] 138 if isinstance(column, int) 139 else next( 140 (select for select in scope.expression.selects if select.alias_or_name == column), 141 exp.Star() if scope.expression.is_star else scope.expression, 142 ) 143 ) 144 145 if isinstance(scope.expression, exp.Subquery): 146 for source in scope.subquery_scopes: 147 return to_node( 148 column, 149 scope=source, 150 dialect=dialect, 151 upstream=upstream, 152 source_name=source_name, 153 reference_node_name=reference_node_name, 154 trim_selects=trim_selects, 155 ) 156 if isinstance(scope.expression, exp.Union): 157 upstream = upstream or Node(name="UNION", source=scope.expression, expression=select) 158 159 index = ( 160 column 161 if isinstance(column, int) 162 else next( 163 ( 164 i 165 for i, select in enumerate(scope.expression.selects) 166 if select.alias_or_name == column or select.is_star 167 ), 168 -1, # mypy will not allow a None here, but a negative index should never be returned 169 ) 170 ) 171 172 if index == -1: 173 raise ValueError(f"Could not find {column} in {scope.expression}") 174 175 for s in scope.union_scopes: 176 to_node( 177 index, 178 scope=s, 179 dialect=dialect, 180 upstream=upstream, 181 source_name=source_name, 182 reference_node_name=reference_node_name, 183 trim_selects=trim_selects, 184 ) 185 186 return upstream 187 188 if trim_selects and isinstance(scope.expression, exp.Select): 189 # For better ergonomics in our node labels, replace the full select with 190 # a version that has only the column we care about. 191 # "x", SELECT x, y FROM foo 192 # => "x", SELECT x FROM foo 193 source = t.cast(exp.Expression, scope.expression.select(select, append=False)) 194 else: 195 source = scope.expression 196 197 # Create the node for this step in the lineage chain, and attach it to the previous one. 198 node = Node( 199 name=f"{scope_name}.{column}" if scope_name else str(column), 200 source=source, 201 expression=select, 202 source_name=source_name or "", 203 reference_node_name=reference_node_name or "", 204 ) 205 206 if upstream: 207 upstream.downstream.append(node) 208 209 subquery_scopes = { 210 id(subquery_scope.expression): subquery_scope for subquery_scope in scope.subquery_scopes 211 } 212 213 for subquery in find_all_in_scope(select, exp.UNWRAPPED_QUERIES): 214 subquery_scope = subquery_scopes.get(id(subquery)) 215 if not subquery_scope: 216 logger.warning(f"Unknown subquery scope: {subquery.sql(dialect=dialect)}") 217 continue 218 219 for name in subquery.named_selects: 220 to_node( 221 name, 222 scope=subquery_scope, 223 dialect=dialect, 224 upstream=node, 225 trim_selects=trim_selects, 226 ) 227 228 # if the select is a star add all scope sources as downstreams 229 if select.is_star: 230 for source in scope.sources.values(): 231 if isinstance(source, Scope): 232 source = source.expression 233 node.downstream.append( 234 Node(name=select.sql(comments=False), source=source, expression=source) 235 ) 236 237 # Find all columns that went into creating this one to list their lineage nodes. 238 source_columns = set(find_all_in_scope(select, exp.Column)) 239 240 # If the source is a UDTF find columns used in the UTDF to generate the table 241 if isinstance(source, exp.UDTF): 242 source_columns |= set(source.find_all(exp.Column)) 243 derived_tables = [ 244 source.expression.parent 245 for source in scope.sources.values() 246 if isinstance(source, Scope) and source.is_derived_table 247 ] 248 else: 249 derived_tables = scope.derived_tables 250 251 source_names = { 252 dt.alias: dt.comments[0].split()[1] 253 for dt in derived_tables 254 if dt.comments and dt.comments[0].startswith("source: ") 255 } 256 257 for c in source_columns: 258 table = c.table 259 source = scope.sources.get(table) 260 261 if isinstance(source, Scope): 262 reference_node_name = None 263 if source.scope_type == ScopeType.DERIVED_TABLE and table not in source_names: 264 reference_node_name = table 265 elif source.scope_type == ScopeType.CTE: 266 selected_node, _ = scope.selected_sources.get(table, (None, None)) 267 reference_node_name = selected_node.name if selected_node else None 268 # The table itself came from a more specific scope. Recurse into that one using the unaliased column name. 269 to_node( 270 c.name, 271 scope=source, 272 dialect=dialect, 273 scope_name=table, 274 upstream=node, 275 source_name=source_names.get(table) or source_name, 276 reference_node_name=reference_node_name, 277 trim_selects=trim_selects, 278 ) 279 else: 280 # The source is not a scope - we've reached the end of the line. At this point, if a source is not found 281 # it means this column's lineage is unknown. This can happen if the definition of a source used in a query 282 # is not passed into the `sources` map. 283 source = source or exp.Placeholder() 284 node.downstream.append( 285 Node(name=c.sql(comments=False), source=source, expression=source) 286 ) 287 288 return node
class
GraphHTML:
291class GraphHTML: 292 """Node to HTML generator using vis.js. 293 294 https://visjs.github.io/vis-network/docs/network/ 295 """ 296 297 def __init__( 298 self, nodes: t.Dict, edges: t.List, imports: bool = True, options: t.Optional[t.Dict] = None 299 ): 300 self.imports = imports 301 302 self.options = { 303 "height": "500px", 304 "width": "100%", 305 "layout": { 306 "hierarchical": { 307 "enabled": True, 308 "nodeSpacing": 200, 309 "sortMethod": "directed", 310 }, 311 }, 312 "interaction": { 313 "dragNodes": False, 314 "selectable": False, 315 }, 316 "physics": { 317 "enabled": False, 318 }, 319 "edges": { 320 "arrows": "to", 321 }, 322 "nodes": { 323 "font": "20px monaco", 324 "shape": "box", 325 "widthConstraint": { 326 "maximum": 300, 327 }, 328 }, 329 **(options or {}), 330 } 331 332 self.nodes = nodes 333 self.edges = edges 334 335 def __str__(self): 336 nodes = json.dumps(list(self.nodes.values())) 337 edges = json.dumps(self.edges) 338 options = json.dumps(self.options) 339 imports = ( 340 """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script> 341 <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script> 342 <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />""" 343 if self.imports 344 else "" 345 ) 346 347 return f"""<div> 348 <div id="sqlglot-lineage"></div> 349 {imports} 350 <script type="text/javascript"> 351 var nodes = new vis.DataSet({nodes}) 352 nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0]) 353 354 new vis.Network( 355 document.getElementById("sqlglot-lineage"), 356 {{ 357 nodes: nodes, 358 edges: new vis.DataSet({edges}) 359 }}, 360 {options}, 361 ) 362 </script> 363</div>""" 364 365 def _repr_html_(self) -> str: 366 return self.__str__()
Node to HTML generator using vis.js.
GraphHTML( nodes: Dict, edges: List, imports: bool = True, options: Optional[Dict] = None)
297 def __init__( 298 self, nodes: t.Dict, edges: t.List, imports: bool = True, options: t.Optional[t.Dict] = None 299 ): 300 self.imports = imports 301 302 self.options = { 303 "height": "500px", 304 "width": "100%", 305 "layout": { 306 "hierarchical": { 307 "enabled": True, 308 "nodeSpacing": 200, 309 "sortMethod": "directed", 310 }, 311 }, 312 "interaction": { 313 "dragNodes": False, 314 "selectable": False, 315 }, 316 "physics": { 317 "enabled": False, 318 }, 319 "edges": { 320 "arrows": "to", 321 }, 322 "nodes": { 323 "font": "20px monaco", 324 "shape": "box", 325 "widthConstraint": { 326 "maximum": 300, 327 }, 328 }, 329 **(options or {}), 330 } 331 332 self.nodes = nodes 333 self.edges = edges