From 2bbb12326a21706fc5b6737fef7677f8e7b63b1b Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Thu, 4 Dec 2025 19:48:00 +0100 Subject: [PATCH 1/9] WIP but i really need to see it rendered --- tutorials/modules/ROOT/images/output_11_0.png | Bin 0 -> 22861 bytes tutorials/modules/ROOT/images/output_13_0.png | Bin 0 -> 16214 bytes tutorials/modules/ROOT/images/output_20_0.png | Bin 0 -> 26092 bytes tutorials/modules/ROOT/images/output_30_0.png | Bin 0 -> 31676 bytes tutorials/modules/ROOT/images/output_35_0.png | Bin 0 -> 31993 bytes tutorials/modules/ROOT/pages/graph-viz.adoc | 784 ++++++++++++++++++ 6 files changed, 784 insertions(+) create mode 100644 tutorials/modules/ROOT/images/output_11_0.png create mode 100644 tutorials/modules/ROOT/images/output_13_0.png create mode 100644 tutorials/modules/ROOT/images/output_20_0.png create mode 100644 tutorials/modules/ROOT/images/output_30_0.png create mode 100644 tutorials/modules/ROOT/images/output_35_0.png create mode 100644 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z#btv!KHtOK%n~;uezKVjUOaQpFo|v1ntNd-4SC@?8qEARh*)4pAp<)J=z@Hkn&KOFMcTkrVcK5NXflkW z+P{9?d7Xf~n@}x+;T`_*|8`*a|M}9FJhwT;k5YUH_tN9w6mpcQu_dL#&?(}700p&% AP5=M^ literal 0 HcmV?d00001 diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc new file mode 100644 index 000000000..33e9edeb4 --- /dev/null +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -0,0 +1,784 @@ +== Visualising TypeDB Data with Python +[NOTE] +==== +This tutorial is based on a jupyter notebook. You can run it locally +==== + +This tutorial builds a simple python library for visualising TypeDB +results as graphs using the query representation returned by the analyze +endpoint, and optionally returned with a query when the +`+include_query_structure+` `+QueryOption+` is set. We assume the user +is familiar with the TypeDB python driver +(https://github.com/typedb/typedb-driver/tree/master/python#example-usage[tutorial]). +It uses the python driver for interacting with TypeDB, networkx for +building the graph, and matplotlib for visualisation. We chose networkx +and matplotlib purely because they’re widely used, but you could use any +- TypeDB studio uses sigmajs and graphology. + +The full code of this tutorial is available on +https://github.com/typedb-osi/typedb-graph-utils/python[github]. It is a +pyproject that can be built, published and installed. + +== Running example: + +For the following sections, we’ll use this toy dataset. +[source, typeql] +---- +# schema +define + attribute name, value string; + attribute age, value integer; + entity person, owns name, owns age; + +# data +insert + $john isa person, has name "John", has age 20; + $jane isa person, has name "Jane", has age 30; + +# simple_query +match $x isa person, has name $n; +---- + +.Code to set up +[%collapsible] +==== +[source, python] +---- +SCHEMA = """ +define + attribute name, value string; + attribute age, value integer; + entity person, owns name, owns age; +""" + +DATA = """ +insert + $john isa person, has name "John", has age 20; + $jane isa person, has name "Jane", has age 30; +""" + +SIMPLE_QUERY = """ + match $x isa person, has name $n; +""" + +from typedb.driver import TypeDB, Credentials, DriverOptions, TypeDB, QueryOptions, TransactionType + +DB_ADDRESS = "127.0.0.1:1729" +DB_CREDENTIALS = Credentials("admin", "password") +DRIVER_OPTIONS = DriverOptions(is_tls_enabled=False) +QUERY_OPTIONS = QueryOptions() +QUERY_OPTIONS.include_query_structure = True +DB_NAME = "typedb-graph-tutorial-py" + +def setup(driver, schema, data): + if DB_NAME in [db.name for db in driver.databases.all()]: + driver.databases.get(DB_NAME).delete() + driver.databases.create(DB_NAME) + with driver.transaction(DB_NAME, TransactionType.SCHEMA) as tx: + tx.query(schema).resolve() + tx.commit() + with driver.transaction(DB_NAME, TransactionType.WRITE) as tx: + rows = list(tx.query(data).resolve()) + assert 1 == len(rows) + tx.commit() + +driver = TypeDB.driver(DB_ADDRESS, DB_CREDENTIALS, DRIVER_OPTIONS) +setup(driver, SCHEMA, DATA) +---- +==== + +== Background: Analyzing queries and PipelineStructure + +TypeDB 3.7.0 introduces the `+analyze+` operation. Analyzing a query +returns its pipeline structure, along with typing information for the +variables in each pattern. + +A pipeline is made up of `+PipelineStage+`s, some of which are made of +`+Conjunction+`s. + +[source,python] +---- +class Pipeline: + def stages(self) -> Iterator[PipelineStage] + def conjunction(self, conjunction_id: ConjunctionID) -> Optional[Conjunction] + # ... + +class MatchStage(PipelineStage): + def block(self) -> "ConjunctionID" + +class InsertStage(PipelineStage): + def block(self) -> "ConjunctionID" +---- + + +[source, python] +---- +# Analyze the simple query +from typedb.analyze import Pipeline, Constraint, ConstraintVertex + +with driver.transaction(DB_NAME, TransactionType.READ) as tx: + analyzed = tx.analyze(SIMPLE_QUERY).resolve() +pipeline = analyzed.pipeline() +stages = list(pipeline.stages()) +stages +---- +.Output +[%collapsible] +==== +[source, rust] +---- +[ + Match { block: ConjunctionID(0) } +] +---- +==== + +A conjunction is a collection of `+Constraint+`s, which should be +familiar from the TypeQL statements: + +[source,python] +---- +class Conjunction: + def constraints(self) -> Iterator["Constraint"] + + +class Isa(Constraint, ABC): + """Represents an 'isa' constraint: isa(!) """ + def instance(self) -> "ConstraintVertex" + def type(self) -> "ConstraintVertex" + def exactness(self) -> "ConstraintExactness" # isa or isa! + + +class Has(Constraint, ABC): + """Represents a 'has' constraint: has """ + def owner(self) -> "ConstraintVertex" + def attribute(self) -> "ConstraintVertex" +---- + +TypeQL statements can be seen as constraints between one or more +`+ConstraintVertex+`es - These can be type `+Label+`s, `+Variable+`s or +raw `+Value+`s. + + +[source, python] +---- +# Get the constraints from the match stage +match_stage = stages[0] +conjunction = pipeline.conjunction(match_stage.block()) +constraints = list(conjunction.constraints()) +constraints +---- +.Output +[%collapsible] +==== +[source, rust] +---- +[ + Isa { instance: Variable(Variable(0)), type: Label(EntityType(EntityType { label: "person" })), exactness: Subtypes }, + Has { owner: Variable(Variable(0)), attribute: Variable(Variable(1)), exactness: Subtypes }, + Isa { instance: Variable(Variable(1)), type: Label(AttributeType(AttributeType { label: "name", value_type: Some(string) })), exactness: Subtypes } +] +---- +==== + +== From constraints to the query graph + +Before we get to visualising the data returned by queries, We’ll turn +the constraints in our query into a query-graph and visualise it. We’ll +use a `+to_query_edge+` function to go from a Constraint to a labelled +edge represented by the tuple `+(from, label, to)+` + + +[source, python] +---- +# Convert all constraints to edges +from typing import Tuple +def to_query_edge(constraint: Constraint) -> Tuple[ConstraintVertex, str, ConstraintVertex]: + if constraint.is_isa(): + isa = constraint.as_isa() + return (isa.instance(), "isa", isa.type()) + elif constraint.is_has(): + has = constraint.as_has() + return (has.owner(), "has", has.attribute()) + else: + raise NotImplementedError("Not implemented in tutorial.") + +query_edges = [to_query_edge(constraint) for constraint in constraints] +query_edges +---- +.Output +[%collapsible] +==== +[source, rust] +---- +[ + (Variable(0), 'isa', EntityType(person)), + (Variable(0), 'has', Variable(1)), + (Variable(1), 'isa', AttributeType(name)) +] +---- +==== + +We then use networkx and matplotlib to visualise the graph + + ++*In[6]:*+ +[source, python] +---- +import networkx +from matplotlib import pyplot + +query_graph = networkx.MultiDiGraph() +for (u, label, v) in query_edges: + query_graph.add_edge(u,v) +node_labels = {node: str(node) for node in query_graph.nodes()} +networkx.draw(query_graph, labels=node_labels) +pyplot.show() +---- +.Output +[%collapsible] +==== +image:output_11_0.png[] +==== + +== Better formatting + +That’s the query graph, but it’s of little use to the viewer. We’ll +create a `+node_style+` function which specifies some style attributes, +and a `+draw+` function which uses these to draw the networkx graph +using matplotlib. + + +[source, python] +---- +from typing import Dict, List, Tuple +def node_style(pipeline: Pipeline, node: ConstraintVertex) -> Dict[str, any]: + color = "g" if node.is_variable() else "b" + label = ("$" + pipeline.get_variable_name(node.as_variable())) if node.is_variable() else str(node) + shape = "s" if node.is_label() else "o" + return { + "color": color, + "label": label, + "shape": shape, + } + +def draw(edges: List[Tuple[ConstraintVertex, str, ConstraintVertex]], node_styles: Dict[ConstraintVertex, Dict[str, any]]): + graph = networkx.MultiDiGraph() + graph.add_edges_from((u,v, label) for (u, label, v) in edges) + pos = networkx.forceatlas2_layout(graph) if hasattr(networkx, 'forceatlas2_layout') else networkx.planar_layout(graph) + + nodes_by_shape = {node_styles[n]["shape"]: [] for n in graph.nodes} + for node in node_styles: + nodes_by_shape[node_styles[node]["shape"]].append(node) + + for (shape, node_subset) in nodes_by_shape.items(): + node_colors = [node_styles[n]["color"] for n in node_subset] + node_labels = {n: node_styles[n]["label"] for n in node_subset} + networkx.draw_networkx_nodes(graph, pos, nodelist=nodes_by_shape[shape], node_color=node_colors, node_shape=shape) + networkx.draw_networkx_labels(graph, pos, labels = node_labels) + networkx.draw_networkx_edges(graph, pos) + + edge_labels = { (u,v): label for (u, label, v) in edges} + networkx.draw_networkx_edge_labels(graph, pos, edge_labels=edge_labels) + pyplot.show() + +# Prepare node styles +nodes = set(u for (u,_,_) in query_edges).union(set(v for (_,_,v) in query_edges)) +node_styles = { n: node_style(pipeline, n) for n in nodes} +# Draw +draw(query_edges, node_styles) +---- +.Output +[%collapsible] +==== +image:output_13_0.png[] +==== + +== Visualising Data + +TypeDB answers are `+ConceptRow+`s which map variables in the queries to +concepts in the database. It has a similar interface to a python +dictionary. If the `+include_query_structure+` `+QueryOption+` is set, +the pipeline structure will be returned and each row will have shared +access to it. + +[source,python] +---- +class ConceptRow: + def column_names(self) -> Iterator[str] # keys + def concepts(self) -> Iterator[Concept] # values + def get(self, column_name: str) -> Optional[Concept] # get + + def query_structure(self) -> Optional["Pipeline"] # Shared access to the pipeline structure +---- + + ++*In[8]:*+ +[source, python] +---- +with driver.transaction(DB_NAME, TransactionType.READ) as tx: + answers = list(tx.query(SIMPLE_QUERY, QUERY_OPTIONS).resolve()) +assert 2 == len(answers), "TypeDB answer count mismatch" +answers +---- +.Output +[%collapsible] +==== +---- +[ +| $n: Attribute(name: "Jane") | $x: Entity(person: 0x1e00000000000000000001) |, +| $n: Attribute(name: "John") | $x: Entity(person: 0x1e00000000000000000000) | +] +---- +==== + +[source, python] +---- +# Every answer also has a reference to the pipeline structure +list(answers[0].query_structure().stages()) +---- + +.Output +[%collapsible] +==== +[source, rust] +---- +[ + Match { block: ConjunctionID(0) } +] +---- +==== + +== From query structure and rows to graphs + +The graph view sees pattern matching as finding a homomorphism between +the query-graph and some subgraph in the database. An answer is thus the +mapping between the two graphs. To construct the graph representing the +answer, we simply have to substitute the concepts in the answers for the +variables in the query-graph. Since there are multiple answers, we take +the union of edges + +[source, python] +---- +from typedb.driver import ConceptRow, Concept +def substitute(pipeline: Pipeline, vertex: ConstraintVertex, row: ConceptRow) -> Concept: + if vertex.is_label(): + return vertex.as_label() + elif vertex.is_variable(): + var_name = pipeline.get_variable_name(vertex.as_variable()) + return row.get(var_name) if var_name else None + else: + raise NotImplementedError("Not implemented in tutorial. See resolve_constraint_vertex") + +answers_as_data_edges = [ + [(substitute(pipeline, u, row), label, substitute(pipeline, v, row)) for (u,label,v) in query_edges] + for row in answers +] +answers_as_data_edges +---- + +.Output +[%collapsible] +==== +[source,rust] +---- +[ + [ + (Entity(person: 0x1e00000000000000000001), 'isa', EntityType(person)), + (Entity(person: 0x1e00000000000000000001), 'has', Attribute(name: "Jane")), + (Attribute(name: "Jane"), 'isa', AttributeType(name)) + ], + [ + (Entity(person: 0x1e00000000000000000000), 'isa', EntityType(person)), + (Entity(person: 0x1e00000000000000000000), 'has', Attribute(name: "John")), + (Attribute(name: "John"), 'isa', AttributeType(name)) + ] +] +---- +==== + +== Visualising + +We’ll need a new node style since our vertices are now concepts rather +than `+ConstraintVertex+`es + + ++*In[11]:*+ +[source, python] +---- +# We need to update our node_style +def data_node_style(node: Concept) -> Dict[str, any]: + if node.is_type(): + label = str(node) + color = "c" + elif node.is_attribute(): + label = f"{node.get_type().get_label()}:{node.get_value()}" + color = "g" + else: + label = f"{node.get_type().get_label()}#{node.get_iid()[-4:]}" + color = "b" + + shape = "s" if (node.is_attribute() or node.is_attribute_type()) else "o" + return { + "color": color, + "label": label, + "shape": shape, + } + +# Flatten them and remove any duplicate edges: +data_edges = set(e for answer_edges in answers_as_data_edges for e in answer_edges) + +# Prepare node styles +nodes = set(u for (u,_,_) in data_edges).union(set(v for (_,_,v) in data_edges)) +node_styles = { n: data_node_style(n) for n in nodes} +# Draw +draw(data_edges, node_styles) + +---- + + ++*Out[11]:*+ +---- +![png](output_20_0.png) +---- + +== Disjunctions and optionals + +TypeQL queries can be more than simple conjunctions of patterns. They +can also contain disjunctions & optional patterns - meaning not every +answer satisfies every constraint. + +Consider the query: +[source, python] +---- +BRANCHED_QUERY = """ +match +$x isa person; +{ $x has name $y; } or { $x has age $y; }; +""" + +with driver.transaction(DB_NAME, TransactionType.READ) as tx: + answers = list(tx.query(BRANCHED_QUERY, QUERY_OPTIONS).resolve()) +assert 4 == len(answers), "TypeDB answer count mismatch" +answers + +---- +.Output +[%collapsible] +==== +---- +[ +| $x: Entity(person: 0x1e00000000000000000000) | $y: Attribute(age: 20) |, +| $x: Entity(person: 0x1e00000000000000000001) | $y: Attribute(age: 30) |, +| $x: Entity(person: 0x1e00000000000000000001) | $y: Attribute(name: "Jane") |, +| $x: Entity(person: 0x1e00000000000000000000) | $y: Attribute(name: "John") | +] +---- +==== + + + +We can get the constraints in the trunk: +[source, python] +---- +pipeline = answers[0].query_structure() +stages = list(pipeline.stages()) +trunk_id = stages[0].as_match().block() +trunk = list(pipeline.conjunction(trunk_id).constraints()) +(trunk_id, trunk) +---- +.Output +[%collapsible] +==== +---- +( + 2, + [ + Isa { instance: Variable(Variable(0)), type: Label(EntityType(EntityType { label: "person" })), exactness: Subtypes }, + Or { branches: [ConjunctionID(0), ConjunctionID(1)] } + ] +) +---- +==== + + +[source, python] +---- +## Get those as well: +branches = { branch_id: list(pipeline.conjunction(branch_id).constraints()) for branch_id in trunk[1].as_or().branches() } +branches +---- + +.Output +[%collapsible] +==== +---- +{ + 0: [ + Has { owner: Variable(Variable(0)), attribute: Variable(Variable(1)), exactness: Subtypes }, + Isa { instance: Variable(Variable(1)), type: Label(AttributeType(AttributeType { label: "name", value_type: Some(string) })), exactness: Subtypes } + ], + 1: [ + Has { owner: Variable(Variable(0)), attribute: Variable(Variable(1)), exactness: Subtypes }, + Isa { instance: Variable(Variable(1)), type: Label(AttributeType(AttributeType { label: "age", value_type: Some(integer) })), exactness: Subtypes } + ] +} +---- +==== + +How do we know which of these branches were satisfied by each answer? If +we were to naively draw the constraints from all branches, we’d have +some absurd edges such as `+name:John isa age+`. Each `+ConceptRow+` has +an `+involved_conjunctions+` method which tells us exactly this. + + +[source, python] +---- +[list(answer.involved_conjunctions()) for answer in answers] +---- +.Output +[%collapsible] +==== +---- +[ + [1, 2], + [1, 2], + [0, 2], + [0, 2] +] +---- +==== + +As expected, the first two answers satisfy the branch with age, and the +second two answers satisfy the branch with name (all answers satisfy the +trunk, of course). Constructing the graph for these is still quite +simple. We take the union of all constraints in each involved +conjunction: + + +[source, python] +---- +def flatten(list_of_lists: List[List[any]]) -> List[any]: + return [x for l in list_of_lists for x in l] + +answers_as_data_edges = [] +for row in answers: + involved_constraints = flatten([list(pipeline.conjunction(conj_id).constraints()) for conj_id in row.involved_conjunctions()]) + as_query_edges = [to_query_edge(c) for c in involved_constraints if not c.is_or()] # Exclude or constraint + as_data_edges = [(substitute(pipeline, u, row), label, substitute(pipeline, v, row)) for (u,label,v) in as_query_edges] + answers_as_data_edges.append(as_data_edges) + +answers_as_data_edges +---- +.Output +[%collapsible] +==== +[source,rust] +---- +[ + [ + (Entity(person: 0x1e00000000000000000000), 'has', Attribute(age: 20)), + (Attribute(age: 20), 'isa', AttributeType(age)), + (Entity(person: 0x1e00000000000000000000), 'isa', EntityType(person)) + ], + [ + (Entity(person: 0x1e00000000000000000001), 'has', Attribute(age: 30)), + (Attribute(age: 30), 'isa', AttributeType(age)), + (Entity(person: 0x1e00000000000000000001), 'isa', EntityType(person)) + ], + [ + (Entity(person: 0x1e00000000000000000001), 'has', Attribute(name: "Jane")), + (Attribute(name: "Jane"), 'isa', AttributeType(name)), + (Entity(person: 0x1e00000000000000000001), 'isa', EntityType(person)) + ], + [ + (Entity(person: 0x1e00000000000000000000), 'has', Attribute(name: "John")), + (Attribute(name: "John"), 'isa', AttributeType(name)), + (Entity(person: 0x1e00000000000000000000), 'isa', EntityType(person)) + ] +] +---- +==== + +Prepare the styles for the nodes, and draw: +[source, python] +---- +# Prepare node styles +flattened_data_edges = flatten(answers_as_data_edges) +nodes = set(u for (u,_,_) in data_edges).union(set(v for (_,_,v) in flattened_data_edges)) +node_styles = { n: data_node_style(n) for n in nodes } +# Draw +draw(flattened_data_edges, node_styles) +---- + +.Output +[%collapsible] +==== +image:output_30_0.png[] +==== + +This covers the basics of visualising TypeDB answers as graphs. The next +section discusses a few cases where TypeDB constraints don’t directly +map to a simple labelled binary edge between two concepts. Later, we +introduce a simple python library which computes involved constraints +and substitutes answers into the constraints - allowing you to focus on +converting these "`DataConstraints`" into your target representation. + +== Visualising complex constraints + +In this section, we discuss a few cases where visualisation is not as +straightforward and the solutions we chose when building TypeDB Studio. + +=== Functions + +A query can contain function calls. Functions have arguments and return +values - all of which are concepts. Unlike a relation, the function call +itself is not a concept. We felt the cleanest way to visualise the +many-to-many constraint between return values and arguments was to +introduce a `+FunctionCall+` vertex for each call. Two function calls +are the same vertex if they have the same (1) function name, (2) tuple +of argument concepts, and (3) tuple of returned concepts. + +=== Expressions + +We treat expressions as we did functions, except the string representing +the expression is used in place of the function name. + +=== Links constraints + +Links constraints are ternary constraints involving the relation +instance, the player instance and the played role type. We choose to +represent it as a binary edge from the relation to the player, with the +role serving as the label of the edge. + +=== Named roles + +TypeDB allows the use of unscoped role names in links & relates +constraints to specify the role. e.g. For the schema below, the query +`+match $r relates subject;+` will return both `+sentence+` and +`+email+` as answers for `+$r+`; + +.... +define +relation sentence relates subject; +relation email relates subject; +.... + +Internally, TypeDB introduces an internal variable and constrains it to +be any of the role types with the specified name. In the structure +returned by the `+analyze+` operation, these variables and their +associated names are returned as `+NamedRole+` vertices. (Since the +variable introduced is anonymous, it is unavailable in the ConceptRow. +Since it does not uniquely determine the type, it cannot be considered a +label.) + +=== Is & comparison constraints + +Since `+is+` constraints are always a self-edge on a vertex, we choose +not to visualise it. We also skip visualising comparison constraints to +reduce the number of edges, though they can be useful in certain cases - +the comparator symbol is available from the comparison constraint. + +== The library + +In this section, we introduce the library developed along with the +tutorial. It follows the structure of the TypeScript library we wrote +for TypeDB studio. The essence remains the same as what we’ve covered in +the tutorial - Find the constraints "`involved`" in each answer, and +substitute in the concepts for the variables. Instead of converting a +constraint into query edges, and then applying the substitution to form +data-edges, We directly apply the substitution on the `+Constraint+`s to +obtain the corresponding `+DataConstraint+` - These constrain +`+DataVertex+`es instead of `+ConstraintVertex+`es. + +Here’s the signature of an `+Isa+` `+DataConstraint+` from the library, +and the `+Isa+` `+Constraint+` from the driver API to compare against: + +[source,python] +---- +# From library +class Isa(DataConstraint): + def instance(self) -> DataVertex + def type(self) -> DataVertex + def exactness(self) -> ConstraintExactness + +# From driver +class Isa(Constraint, ABC): + def instance(self) -> ConstraintVertex + def type(self) -> ConstraintVertex + def exactness(self) -> ConstraintExactness # isa or isa! +---- + +We introduce a `+TypeDBAnswerConverter[OutputType]+` abstract class, +which defines methods the user has to implement - One `+add_+` method +per data constraint (e.g. `+add_isa(self, isa: Isa)+`) and a +`+finish(self) -> OutputType+` for whatever your final representation +may be. + +We provide a sample implementation - +`+class NetworkXBuilder(TypeDBAnswerConverter[MultiDiGraph])+` - which +builds a `+MultiDiGraph+` as in this tutorial. We also provide a basic +`+matplotlib_visualizer+` for inspiration. + +== Visualising using the library + +We recreate the previous example by implementing the +`+TypeDBAnswerConverter+` class provided by the library. + + ++*In[18]:*+ +[source, python] +---- +from typedb_graph_utils import data_constraint, TypeDBAnswerConverter, MatplotlibVisualizer +from typedb.common.enums import ConstraintExactness +from networkx import MultiDiGraph +class MyTutorialBuilder(TypeDBAnswerConverter[MultiDiGraph]): + + def __init__(self, pipeline: Pipeline): + super().__init__(pipeline) + self.graph = MultiDiGraph() + + def finish(self) -> MultiDiGraph: + return self.graph + + def add_isa(self, isa: data_constraint.Isa): + edge_type = "isa!" if isa.exactness() == ConstraintExactness.Exact else "isa" + # Use the edge attributes to store metadata. The visualiser uses it. + self.graph.add_edge(isa.instance(), isa.type(), label=edge_type) + + def add_has(self, has: data_constraint.Has): + if has.owner() is None or has.attribute() is None: + return + edge_type = "has!" if has.exactness() == ConstraintExactness.Exact else "has" + self.graph.add_edge(has.owner(), has.attribute(), label = edge_type) + + # We leave the remaining unimplemented for brevity. Check the NetworkXConverter + def add_comparison(c): pass + def add_expression(c): pass + def add_function_call(c): pass + def add_iid(c): pass + def add_is(c): pass + def add_kind(c): pass + def add_label(c): pass + def add_links(c): pass + def add_owns(c): pass + def add_plays(c): pass + def add_relates(c): pass + def add_sub(c): pass + def add_value(c): pass + +with driver.transaction(DB_NAME, TransactionType.READ) as tx: + answers = list(tx.query(BRANCHED_QUERY, QUERY_OPTIONS).resolve()) + +builder = MyTutorialBuilder(answers[0].query_structure()) +for (i, answer) in enumerate(answers): + builder.add_answer(i, answer) + +graph = builder.finish() +MatplotlibVisualizer.draw(graph) +---- +.Output +[%collapsible] +==== +image:output_35_0.png[] +==== \ No newline at end of file From 87717f023229eadbcad4ef1faf81230f8e3657b1 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Thu, 4 Dec 2025 19:58:54 +0100 Subject: [PATCH 2/9] That looked nice. I'm just gonna touch up --- tutorials/modules/ROOT/pages/graph-viz.adoc | 108 +++++++++----------- 1 file changed, 49 insertions(+), 59 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index 33e9edeb4..7f1055e76 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -7,7 +7,7 @@ This tutorial is based on a jupyter notebook. You can run it locally This tutorial builds a simple python library for visualising TypeDB results as graphs using the query representation returned by the analyze endpoint, and optionally returned with a query when the -`+include_query_structure+` `+QueryOption+` is set. We assume the user +`include_query_structure` `QueryOption` is set. We assume the user is familiar with the TypeDB python driver (https://github.com/typedb/typedb-driver/tree/master/python#example-usage[tutorial]). It uses the python driver for interacting with TypeDB, networkx for @@ -89,12 +89,12 @@ setup(driver, SCHEMA, DATA) == Background: Analyzing queries and PipelineStructure -TypeDB 3.7.0 introduces the `+analyze+` operation. Analyzing a query +TypeDB 3.7.0 introduces the `analyze` operation. Analyzing a query returns its pipeline structure, along with typing information for the variables in each pattern. -A pipeline is made up of `+PipelineStage+`s, some of which are made of -`+Conjunction+`s. +A pipeline is made up of `PipelineStage`s, some of which are made of +`Conjunction`s. [source,python] ---- @@ -133,7 +133,7 @@ stages ---- ==== -A conjunction is a collection of `+Constraint+`s, which should be +A conjunction is a collection of `Constraint`s, which should be familiar from the TypeQL statements: [source,python] @@ -156,8 +156,8 @@ class Has(Constraint, ABC): ---- TypeQL statements can be seen as constraints between one or more -`+ConstraintVertex+`es - These can be type `+Label+`s, `+Variable+`s or -raw `+Value+`s. +`ConstraintVertex`es - These can be type `Label`s, `Variable`s or +raw `Value`s. [source, python] @@ -185,8 +185,8 @@ constraints Before we get to visualising the data returned by queries, We’ll turn the constraints in our query into a query-graph and visualise it. We’ll -use a `+to_query_edge+` function to go from a Constraint to a labelled -edge represented by the tuple `+(from, label, to)+` +use a `to_query_edge` function to go from a Constraint to a labelled +edge represented by the tuple `(from, label, to)` [source, python] @@ -219,10 +219,7 @@ query_edges ---- ==== -We then use networkx and matplotlib to visualise the graph - - -+*In[6]:*+ +We then use networkx and matplotlib to visualise the graph: [source, python] ---- import networkx @@ -244,8 +241,8 @@ image:output_11_0.png[] == Better formatting That’s the query graph, but it’s of little use to the viewer. We’ll -create a `+node_style+` function which specifies some style attributes, -and a `+draw+` function which uses these to draw the networkx graph +create a `node_style` function which specifies some style attributes, +and a `draw` function which uses these to draw the networkx graph using matplotlib. @@ -296,9 +293,9 @@ image:output_13_0.png[] == Visualising Data -TypeDB answers are `+ConceptRow+`s which map variables in the queries to +TypeDB answers are `ConceptRow`s which map variables in the queries to concepts in the database. It has a similar interface to a python -dictionary. If the `+include_query_structure+` `+QueryOption+` is set, +dictionary. If the `include_query_structure` `QueryOption` is set, the pipeline structure will be returned and each row will have shared access to it. @@ -312,8 +309,7 @@ class ConceptRow: def query_structure(self) -> Optional["Pipeline"] # Shared access to the pipeline structure ---- - -+*In[8]:*+ +Run a query: [source, python] ---- with driver.transaction(DB_NAME, TransactionType.READ) as tx: @@ -332,12 +328,12 @@ answers ---- ==== +Get the pipeline stages from it: [source, python] ---- # Every answer also has a reference to the pipeline structure list(answers[0].query_structure().stages()) ---- - .Output [%collapsible] ==== @@ -356,7 +352,7 @@ the query-graph and some subgraph in the database. An answer is thus the mapping between the two graphs. To construct the graph representing the answer, we simply have to substitute the concepts in the answers for the variables in the query-graph. Since there are multiple answers, we take -the union of edges +the union of edges. [source, python] ---- @@ -376,7 +372,6 @@ answers_as_data_edges = [ ] answers_as_data_edges ---- - .Output [%collapsible] ==== @@ -400,10 +395,8 @@ answers_as_data_edges == Visualising We’ll need a new node style since our vertices are now concepts rather -than `+ConstraintVertex+`es +than `ConstraintVertex`es. - -+*In[11]:*+ [source, python] ---- # We need to update our node_style @@ -435,12 +428,11 @@ node_styles = { n: data_node_style(n) for n in nodes} draw(data_edges, node_styles) ---- - - -+*Out[11]:*+ ----- -![png](output_20_0.png) ----- +.Output +[%collapsible] +==== +image:output_20_0.png[] +==== == Disjunctions and optionals @@ -477,8 +469,7 @@ answers ==== - -We can get the constraints in the trunk: +Get the constraints in the trunk: [source, python] ---- pipeline = answers[0].query_structure() @@ -502,9 +493,9 @@ trunk = list(pipeline.conjunction(trunk_id).constraints()) ==== +Get the constraints by branch: [source, python] ---- -## Get those as well: branches = { branch_id: list(pipeline.conjunction(branch_id).constraints()) for branch_id in trunk[1].as_or().branches() } branches ---- @@ -528,8 +519,8 @@ branches How do we know which of these branches were satisfied by each answer? If we were to naively draw the constraints from all branches, we’d have -some absurd edges such as `+name:John isa age+`. Each `+ConceptRow+` has -an `+involved_conjunctions+` method which tells us exactly this. +some absurd edges such as `name:John isa age`. Each `ConceptRow` has +an `involved_conjunctions` method which tells us exactly this. [source, python] @@ -635,7 +626,7 @@ A query can contain function calls. Functions have arguments and return values - all of which are concepts. Unlike a relation, the function call itself is not a concept. We felt the cleanest way to visualise the many-to-many constraint between return values and arguments was to -introduce a `+FunctionCall+` vertex for each call. Two function calls +introduce a `FunctionCall` vertex for each call. Two function calls are the same vertex if they have the same (1) function name, (2) tuple of argument concepts, and (3) tuple of returned concepts. @@ -655,26 +646,27 @@ role serving as the label of the edge. TypeDB allows the use of unscoped role names in links & relates constraints to specify the role. e.g. For the schema below, the query -`+match $r relates subject;+` will return both `+sentence+` and -`+email+` as answers for `+$r+`; +`match $r relates subject;` will return both `sentence` and +`email` as answers for `$r`; -.... +[source, typeql] +---- define relation sentence relates subject; relation email relates subject; -.... +---- Internally, TypeDB introduces an internal variable and constrains it to be any of the role types with the specified name. In the structure -returned by the `+analyze+` operation, these variables and their -associated names are returned as `+NamedRole+` vertices. (Since the +returned by the `analyze` operation, these variables and their +associated names are returned as `NamedRole` vertices. (Since the variable introduced is anonymous, it is unavailable in the ConceptRow. Since it does not uniquely determine the type, it cannot be considered a label.) === Is & comparison constraints -Since `+is+` constraints are always a self-edge on a vertex, we choose +Since `is` constraints are always a self-edge on a vertex, we choose not to visualise it. We also skip visualising comparison constraints to reduce the number of edges, though they can be useful in certain cases - the comparator symbol is available from the comparison constraint. @@ -687,12 +679,12 @@ for TypeDB studio. The essence remains the same as what we’ve covered in the tutorial - Find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. Instead of converting a constraint into query edges, and then applying the substitution to form -data-edges, We directly apply the substitution on the `+Constraint+`s to -obtain the corresponding `+DataConstraint+` - These constrain -`+DataVertex+`es instead of `+ConstraintVertex+`es. +data-edges, We directly apply the substitution on the `Constraint`s to +obtain the corresponding `DataConstraint` - These constrain +`DataVertex`es instead of `ConstraintVertex`es. -Here’s the signature of an `+Isa+` `+DataConstraint+` from the library, -and the `+Isa+` `+Constraint+` from the driver API to compare against: +Here’s the signature of an `Isa` `DataConstraint` from the library, +and the `Isa` `Constraint` from the driver API to compare against: [source,python] ---- @@ -709,24 +701,22 @@ class Isa(Constraint, ABC): def exactness(self) -> ConstraintExactness # isa or isa! ---- -We introduce a `+TypeDBAnswerConverter[OutputType]+` abstract class, -which defines methods the user has to implement - One `+add_+` method -per data constraint (e.g. `+add_isa(self, isa: Isa)+`) and a -`+finish(self) -> OutputType+` for whatever your final representation +We introduce a `TypeDBAnswerConverter[OutputType]` abstract class, +which defines methods the user has to implement - One `add_` method +per data constraint (e.g. `add_isa(self, isa: Isa)`) and a +`finish(self) -> OutputType` for whatever your final representation may be. We provide a sample implementation - -`+class NetworkXBuilder(TypeDBAnswerConverter[MultiDiGraph])+` - which -builds a `+MultiDiGraph+` as in this tutorial. We also provide a basic -`+matplotlib_visualizer+` for inspiration. +`NetworkXBuilder` - which +builds a `MultiDiGraph` as in this tutorial. We also provide a basic +`MatplotlibVisualizer` for inspiration. == Visualising using the library We recreate the previous example by implementing the -`+TypeDBAnswerConverter+` class provided by the library. - +`TypeDBAnswerConverter` class provided by the library. -+*In[18]:*+ [source, python] ---- from typedb_graph_utils import data_constraint, TypeDBAnswerConverter, MatplotlibVisualizer From a27c22c3a005d82fd4cf14d9d7b6dc199ba28d81 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Thu, 4 Dec 2025 20:03:05 +0100 Subject: [PATCH 3/9] Add nav & index entries --- tutorials/modules/ROOT/pages/index.adoc | 6 ++++++ tutorials/modules/ROOT/partials/nav.adoc | 1 + 2 files changed, 7 insertions(+) diff --git a/tutorials/modules/ROOT/pages/index.adoc b/tutorials/modules/ROOT/pages/index.adoc index e1fe27764..30599ed8a 100644 --- a/tutorials/modules/ROOT/pages/index.adoc +++ b/tutorials/modules/ROOT/pages/index.adoc @@ -18,6 +18,12 @@ Set up a script for launching TypeDB from the TypeDB Cloud API **** Run TypeDB from your GitHub Actions CI pipeline **** + +.xref:{page-version}@tutorials::graph-viz.adoc[] +[.clickable] +**** +Build graph visualisations from TypeDB answers +**** -- Got other tutorials you'd like to see? diff --git a/tutorials/modules/ROOT/partials/nav.adoc b/tutorials/modules/ROOT/partials/nav.adoc index 3c06213d1..f5f8c02d9 100644 --- a/tutorials/modules/ROOT/partials/nav.adoc +++ b/tutorials/modules/ROOT/partials/nav.adoc @@ -2,4 +2,5 @@ * xref:{page-version}@tutorials::deploy-through-api.adoc[] * xref:{page-version}@tutorials::use-github-actions.adoc[] +* xref:{page-version}@tutorials::graph-viz.adoc[] From 01fda64279e453c2f8c30d8ea3ead4fb650ec958 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Thu, 4 Dec 2025 20:06:59 +0100 Subject: [PATCH 4/9] Fix title, complete note about the origin of the tutorial --- tutorials/modules/ROOT/pages/graph-viz.adoc | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index 7f1055e76..ab3189cd8 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -1,7 +1,10 @@ -== Visualising TypeDB Data with Python += Visualising TypeDB Data with Python + [NOTE] ==== -This tutorial is based on a jupyter notebook. You can run it locally +This tutorial is based on the jupyter notebook in the +https://github.com/typedb-osi/typedb-graph-utils/python[typedb-graph-utils] repository. +You can set it up and run it locally. ==== This tutorial builds a simple python library for visualising TypeDB From 9ad18ca3a08529a3f42896fa07713b399d2ac9d6 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Fri, 5 Dec 2025 15:16:35 +0100 Subject: [PATCH 5/9] Don't spoiler graphs, refactor heading nesting --- tutorials/modules/ROOT/pages/graph-viz.adoc | 68 ++++++++------------- 1 file changed, 24 insertions(+), 44 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index ab3189cd8..9adbc6146 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -90,7 +90,7 @@ setup(driver, SCHEMA, DATA) ---- ==== -== Background: Analyzing queries and PipelineStructure +== Analyze & the query graph TypeDB 3.7.0 introduces the `analyze` operation. Analyzing a query returns its pipeline structure, along with typing information for the @@ -184,7 +184,7 @@ constraints ---- ==== -== From constraints to the query graph +=== From constraints to the query graph Before we get to visualising the data returned by queries, We’ll turn the constraints in our query into a query-graph and visualise it. We’ll @@ -235,13 +235,9 @@ node_labels = {node: str(node) for node in query_graph.nodes()} networkx.draw(query_graph, labels=node_labels) pyplot.show() ---- -.Output -[%collapsible] -==== image:output_11_0.png[] -==== -== Better formatting +=== Prettier drawings That’s the query graph, but it’s of little use to the viewer. We’ll create a `node_style` function which specifies some style attributes, @@ -288,11 +284,7 @@ node_styles = { n: node_style(pipeline, n) for n in nodes} # Draw draw(query_edges, node_styles) ---- -.Output -[%collapsible] -==== image:output_13_0.png[] -==== == Visualising Data @@ -348,7 +340,7 @@ list(answers[0].query_structure().stages()) ---- ==== -== From query structure and rows to graphs +=== From query structure and rows to graphs The graph view sees pattern matching as finding a homomorphism between the query-graph and some subgraph in the database. An answer is thus the @@ -395,7 +387,7 @@ answers_as_data_edges ---- ==== -== Visualising +=== Drawing the graph We’ll need a new node style since our vertices are now concepts rather than `ConstraintVertex`es. @@ -431,13 +423,9 @@ node_styles = { n: data_node_style(n) for n in nodes} draw(data_edges, node_styles) ---- -.Output -[%collapsible] -==== image:output_20_0.png[] -==== -== Disjunctions and optionals +=== Disjunctions and optionals TypeQL queries can be more than simple conjunctions of patterns. They can also contain disjunctions & optional patterns - meaning not every @@ -484,6 +472,7 @@ trunk = list(pipeline.conjunction(trunk_id).constraints()) .Output [%collapsible] ==== +[source, rust] ---- ( 2, @@ -506,6 +495,7 @@ branches .Output [%collapsible] ==== +[source, rust] ---- { 0: [ @@ -533,6 +523,7 @@ an `involved_conjunctions` method which tells us exactly this. .Output [%collapsible] ==== +[source, rust] ---- [ [1, 2], @@ -604,12 +595,7 @@ node_styles = { n: data_node_style(n) for n in nodes } # Draw draw(flattened_data_edges, node_styles) ---- - -.Output -[%collapsible] -==== image:output_30_0.png[] -==== This covers the basics of visualising TypeDB answers as graphs. The next section discusses a few cases where TypeDB constraints don’t directly @@ -618,12 +604,12 @@ introduce a simple python library which computes involved constraints and substitutes answers into the constraints - allowing you to focus on converting these "`DataConstraints`" into your target representation. -== Visualising complex constraints +=== Notes on visualising constraints In this section, we discuss a few cases where visualisation is not as straightforward and the solutions we chose when building TypeDB Studio. -=== Functions +==== Functions A query can contain function calls. Functions have arguments and return values - all of which are concepts. Unlike a relation, the function call @@ -633,19 +619,19 @@ introduce a `FunctionCall` vertex for each call. Two function calls are the same vertex if they have the same (1) function name, (2) tuple of argument concepts, and (3) tuple of returned concepts. -=== Expressions +==== Expressions We treat expressions as we did functions, except the string representing the expression is used in place of the function name. -=== Links constraints +==== Links constraints Links constraints are ternary constraints involving the relation instance, the player instance and the played role type. We choose to represent it as a binary edge from the relation to the player, with the role serving as the label of the edge. -=== Named roles +==== Named roles TypeDB allows the use of unscoped role names in links & relates constraints to specify the role. e.g. For the schema below, the query @@ -667,24 +653,22 @@ variable introduced is anonymous, it is unavailable in the ConceptRow. Since it does not uniquely determine the type, it cannot be considered a label.) -=== Is & comparison constraints +==== Is & comparison constraints Since `is` constraints are always a self-edge on a vertex, we choose not to visualise it. We also skip visualising comparison constraints to reduce the number of edges, though they can be useful in certain cases - the comparator symbol is available from the comparison constraint. -== The library +== The `typedb-graph-utils` library -In this section, we introduce the library developed along with the -tutorial. It follows the structure of the TypeScript library we wrote -for TypeDB studio. The essence remains the same as what we’ve covered in -the tutorial - Find the constraints "`involved`" in each answer, and -substitute in the concepts for the variables. Instead of converting a -constraint into query edges, and then applying the substitution to form -data-edges, We directly apply the substitution on the `Constraint`s to -obtain the corresponding `DataConstraint` - These constrain -`DataVertex`es instead of `ConstraintVertex`es. +In this section, we introduce the `typedb-graph-utils` python library developed alongside this tutorial. +It follows the structure of the TypeScript library we wrote for TypeDB studio. +The essence remains the same as what we’ve covered in the tutorial - +Find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. +Instead of converting a constraint into query edges, and then applying the substitution to form data-edges, +We directly apply the substitution on the `Constraint`s to obtain the corresponding `DataConstraint` - +These constrain `DataVertex`es instead of `ConstraintVertex`es. Here’s the signature of an `Isa` `DataConstraint` from the library, and the `Isa` `Constraint` from the driver API to compare against: @@ -715,7 +699,7 @@ We provide a sample implementation - builds a `MultiDiGraph` as in this tutorial. We also provide a basic `MatplotlibVisualizer` for inspiration. -== Visualising using the library +=== Creating a visualiser using the library We recreate the previous example by implementing the `TypeDBAnswerConverter` class provided by the library. @@ -770,8 +754,4 @@ for (i, answer) in enumerate(answers): graph = builder.finish() MatplotlibVisualizer.draw(graph) ---- -.Output -[%collapsible] -==== image:output_35_0.png[] -==== \ No newline at end of file From ef9cb6af7a459cc1216278267de2a94ba1f14d05 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Fri, 5 Dec 2025 15:55:59 +0100 Subject: [PATCH 6/9] Bad backticks --- tutorials/modules/ROOT/pages/graph-viz.adoc | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index 9adbc6146..2e7fe8da8 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -96,8 +96,8 @@ TypeDB 3.7.0 introduces the `analyze` operation. Analyzing a query returns its pipeline structure, along with typing information for the variables in each pattern. -A pipeline is made up of `PipelineStage`s, some of which are made of -`Conjunction`s. +A pipeline is made up of `PipelineStage` s, some of which are made of +`Conjunction` s. [source,python] ---- @@ -136,7 +136,7 @@ stages ---- ==== -A conjunction is a collection of `Constraint`s, which should be +A conjunction is a collection of `Constraint` s, which should be familiar from the TypeQL statements: [source,python] @@ -159,8 +159,8 @@ class Has(Constraint, ABC): ---- TypeQL statements can be seen as constraints between one or more -`ConstraintVertex`es - These can be type `Label`s, `Variable`s or -raw `Value`s. +`ConstraintVertex` es - These can be type `Label` s, `Variable` s or +raw `Value` s. [source, python] @@ -288,7 +288,7 @@ image:output_13_0.png[] == Visualising Data -TypeDB answers are `ConceptRow`s which map variables in the queries to +TypeDB answers are `ConceptRow` s which map variables in the queries to concepts in the database. It has a similar interface to a python dictionary. If the `include_query_structure` `QueryOption` is set, the pipeline structure will be returned and each row will have shared @@ -390,7 +390,7 @@ answers_as_data_edges === Drawing the graph We’ll need a new node style since our vertices are now concepts rather -than `ConstraintVertex`es. +than `ConstraintVertex` es. [source, python] ---- @@ -667,8 +667,8 @@ It follows the structure of the TypeScript library we wrote for TypeDB studio. The essence remains the same as what we’ve covered in the tutorial - Find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. Instead of converting a constraint into query edges, and then applying the substitution to form data-edges, -We directly apply the substitution on the `Constraint`s to obtain the corresponding `DataConstraint` - -These constrain `DataVertex`es instead of `ConstraintVertex`es. +We directly apply the substitution on the `Constraint` s to obtain the corresponding `DataConstraint` - +These constrain `DataVertex` es instead of `ConstraintVertex` es. Here’s the signature of an `Isa` `DataConstraint` from the library, and the `Isa` `Constraint` from the driver API to compare against: From 80eb8285911477c7f652bf78146c0e3630ef681c Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Fri, 5 Dec 2025 17:22:36 +0100 Subject: [PATCH 7/9] Complete content feedback. Still needs a beautiful opening image --- tutorials/modules/ROOT/pages/graph-viz.adoc | 116 ++++++++++---------- 1 file changed, 58 insertions(+), 58 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index 2e7fe8da8..835fe2f05 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -1,4 +1,4 @@ -= Visualising TypeDB Data with Python += Graph Visualisation for TypeDB Data [NOTE] ==== @@ -7,20 +7,22 @@ https://github.com/typedb-osi/typedb-graph-utils/python[typedb-graph-utils] repo You can set it up and run it locally. ==== -This tutorial builds a simple python library for visualising TypeDB -results as graphs using the query representation returned by the analyze -endpoint, and optionally returned with a query when the -`include_query_structure` `QueryOption` is set. We assume the user -is familiar with the TypeDB python driver -(https://github.com/typedb/typedb-driver/tree/master/python#example-usage[tutorial]). -It uses the python driver for interacting with TypeDB, networkx for -building the graph, and matplotlib for visualisation. We chose networkx -and matplotlib purely because they’re widely used, but you could use any -- TypeDB studio uses sigmajs and graphology. - -The full code of this tutorial is available on -https://github.com/typedb-osi/typedb-graph-utils/python[github]. It is a -pyproject that can be built, published and installed. +This is a tutorial to visualise TypeDB data as graphs +using the query representation returned by the analyze endpoint, +and with query results (when the `include_query_structure` `QueryOption` is set). + +It uses the TypeDB (https://github.com/typedb/typedb-driver/tree/master/python#example-usage[python driver] for interacting with TypeDB, networkx for +building the graph, and matplotlib for visualisation. +We chose networkx and matplotlib because they’re widely used, but you could use any libraries +- TypeDB studio uses http://sigmajs.org/[sigmajs] and https://graphology.github.io/[graphology]. + +At the end, we present the `typedb-graph-utils` python library, +which provides an easy interface to build graphs and other structures from TypeDB query results. + +[NOTE] +==== +This tutorial requires TypeDB version >= 3.7.0 +==== == Running example: @@ -92,15 +94,21 @@ setup(driver, SCHEMA, DATA) == Analyze & the query graph -TypeDB 3.7.0 introduces the `analyze` operation. Analyzing a query -returns its pipeline structure, along with typing information for the -variables in each pattern. +TypeDB allows users to `analyze` a query to get a type-annotated representation of it. +This includes the pipeline structure, and typing information for the variables in each pattern. +[source, python] +---- +with driver.transaction(DB_NAME, TransactionType.READ) as tx: + analyzed = tx.analyze(SIMPLE_QUERY).resolve() +---- A pipeline is made up of `PipelineStage` s, some of which are made of -`Conjunction` s. +`Conjunction` s. structure, and typing information for the +variables in each pattern. [source,python] ---- +from typedb.analyze import Pipeline, Constraint, ConstraintVertex class Pipeline: def stages(self) -> Iterator[PipelineStage] def conjunction(self, conjunction_id: ConjunctionID) -> Optional[Conjunction] @@ -117,10 +125,6 @@ class InsertStage(PipelineStage): [source, python] ---- # Analyze the simple query -from typedb.analyze import Pipeline, Constraint, ConstraintVertex - -with driver.transaction(DB_NAME, TransactionType.READ) as tx: - analyzed = tx.analyze(SIMPLE_QUERY).resolve() pipeline = analyzed.pipeline() stages = list(pipeline.stages()) stages @@ -237,13 +241,12 @@ pyplot.show() ---- image:output_11_0.png[] -=== Prettier drawings - -That’s the query graph, but it’s of little use to the viewer. We’ll -create a `node_style` function which specifies some style attributes, -and a `draw` function which uses these to draw the networkx graph -using matplotlib. +=== Colouring & Labelling the graph +We've constructed the structure of the query graph! Now let's add some colours and labelling. +We’ll create a `node_style` function which returns the style given a vertex, +and move the drawing logic into a `draw` function. +Although this code is specific to matplotlib, it can serve as inspiration for other visualization libraries. [source, python] ---- @@ -342,12 +345,9 @@ list(answers[0].query_structure().stages()) === From query structure and rows to graphs -The graph view sees pattern matching as finding a homomorphism between -the query-graph and some subgraph in the database. An answer is thus the -mapping between the two graphs. To construct the graph representing the -answer, we simply have to substitute the concepts in the answers for the -variables in the query-graph. Since there are multiple answers, we take -the union of edges. +To construct the graph representing an answer, we simply have to +substitute the concepts in the answer for the variables in the query-graph. +Since there are multiple answers, we just combine the graphs of each answer [source, python] ---- @@ -597,17 +597,11 @@ draw(flattened_data_edges, node_styles) ---- image:output_30_0.png[] -This covers the basics of visualising TypeDB answers as graphs. The next -section discusses a few cases where TypeDB constraints don’t directly -map to a simple labelled binary edge between two concepts. Later, we -introduce a simple python library which computes involved constraints -and substitutes answers into the constraints - allowing you to focus on -converting these "`DataConstraints`" into your target representation. - === Notes on visualising constraints - -In this section, we discuss a few cases where visualisation is not as -straightforward and the solutions we chose when building TypeDB Studio. +We have now covered the basics of visualising TypeDB answers as graphs. +In this section, we discuss aa few cases where TypeDB constraints don’t +directly map to a simple labelled binary edge between two concepts, +and the solutions we chose when building TypeDB Studio. ==== Functions @@ -664,12 +658,18 @@ the comparator symbol is available from the comparison constraint. In this section, we introduce the `typedb-graph-utils` python library developed alongside this tutorial. It follows the structure of the TypeScript library we wrote for TypeDB studio. + +This library handles computing the constraints involved in an answer, and substitutes concepts into the constraints - + + The essence remains the same as what we’ve covered in the tutorial - -Find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. +find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. Instead of converting a constraint into query edges, and then applying the substitution to form data-edges, We directly apply the substitution on the `Constraint` s to obtain the corresponding `DataConstraint` - These constrain `DataVertex` es instead of `ConstraintVertex` es. +The library handles this part, allowing you to focus on constructing your target representation. +=== Data constraints Here’s the signature of an `Isa` `DataConstraint` from the library, and the `Isa` `Constraint` from the driver API to compare against: @@ -688,21 +688,15 @@ class Isa(Constraint, ABC): def exactness(self) -> ConstraintExactness # isa or isa! ---- -We introduce a `TypeDBAnswerConverter[OutputType]` abstract class, -which defines methods the user has to implement - One `add_` method -per data constraint (e.g. `add_isa(self, isa: Isa)`) and a -`finish(self) -> OutputType` for whatever your final representation -may be. +=== The `TypeDBAnswerConverter` interface +We introduce a `TypeDBAnswerConverter[OutputType]` abstract class, which defines methods the user has to implement - +One `add_` method per data constraint, and a `finish(self) -> OutputType` to build your final representation. -We provide a sample implementation - -`NetworkXBuilder` - which -builds a `MultiDiGraph` as in this tutorial. We also provide a basic -`MatplotlibVisualizer` for inspiration. +We provide a sample implementation -`NetworkXBuilder` - which builds a `MultiDiGraph` as in this tutorial. +We also provide a basic `MatplotlibVisualizer` with a familiar `draw` function for inspiration. === Creating a visualiser using the library - -We recreate the previous example by implementing the -`TypeDBAnswerConverter` class provided by the library. +We now recreate the previous example by implementing the `TypeDBAnswerConverter` class provided by the library. [source, python] ---- @@ -755,3 +749,9 @@ graph = builder.finish() MatplotlibVisualizer.draw(graph) ---- image:output_35_0.png[] + +== Conclusion +This tutorial combines the rows and query-structure returned by a TypeQL query +to construct and visualise a graph representation of the result. +We hope this new feature and the `typedb-graph-utils` library will enable users +to construct whatever representation their applications may need. From 1966842325794a499403f2c5d3e8131e27e98967 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Fri, 5 Dec 2025 18:22:50 +0100 Subject: [PATCH 8/9] Second round of feedback --- tutorials/modules/ROOT/pages/graph-viz.adoc | 34 +++++++++++++++++++-- 1 file changed, 32 insertions(+), 2 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index 835fe2f05..eb5c40555 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -24,7 +24,7 @@ which provides an easy interface to build graphs and other structures from TypeD This tutorial requires TypeDB version >= 3.7.0 ==== -== Running example: +== Dataset For the following sections, we’ll use this toy dataset. [source, typeql] @@ -599,7 +599,7 @@ image:output_30_0.png[] === Notes on visualising constraints We have now covered the basics of visualising TypeDB answers as graphs. -In this section, we discuss aa few cases where TypeDB constraints don’t +In this section, we discuss a few cases where TypeDB constraints don’t directly map to a simple labelled binary edge between two concepts, and the solutions we chose when building TypeDB Studio. @@ -755,3 +755,33 @@ This tutorial combines the rows and query-structure returned by a TypeQL query to construct and visualise a graph representation of the result. We hope this new feature and the `typedb-graph-utils` library will enable users to construct whatever representation their applications may need. + +== Next steps + +[cols-2] +-- +.xref:{page-version}@core-concepts::drivers/analyze.adoc[Analyze: Core Concepts] +[.clickable] +**** +Read the core-concepts section on analyzing queries. +**** + +.xref:{page-version}@examples::index.adoc[Driver Reference] +[.clickable] +**** +Complete documentation for all the analyzed query structures. +**** + +.https://studio.typedb.com[TypeDB Studio Web] +[.clickable] +**** +The web-based IDE for TypeDB with graph visualization +**** + +.https://github.com/typedb-osi/typedb-graph-utils[TypeDB Graph Utils] +[.clickable] +**** +Utility libraries for constructing graphs & other structures from TypeDB answers +**** + +-- From dbefcab1918ed04bf4562f292eda5c1ad284c972 Mon Sep 17 00:00:00 2001 From: Krishnan Govindraj Date: Fri, 5 Dec 2025 19:01:59 +0100 Subject: [PATCH 9/9] Pass while applying changes to back to the notebook --- tutorials/modules/ROOT/pages/graph-viz.adoc | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/tutorials/modules/ROOT/pages/graph-viz.adoc b/tutorials/modules/ROOT/pages/graph-viz.adoc index eb5c40555..84a6009d5 100644 --- a/tutorials/modules/ROOT/pages/graph-viz.adoc +++ b/tutorials/modules/ROOT/pages/graph-viz.adoc @@ -11,7 +11,7 @@ This is a tutorial to visualise TypeDB data as graphs using the query representation returned by the analyze endpoint, and with query results (when the `include_query_structure` `QueryOption` is set). -It uses the TypeDB (https://github.com/typedb/typedb-driver/tree/master/python#example-usage[python driver] for interacting with TypeDB, networkx for +It uses the TypeDB https://github.com/typedb/typedb-driver/tree/master/python#example-usage[python driver] for interacting with TypeDB, networkx for building the graph, and matplotlib for visualisation. We chose networkx and matplotlib because they’re widely used, but you could use any libraries - TypeDB studio uses http://sigmajs.org/[sigmajs] and https://graphology.github.io/[graphology]. @@ -659,15 +659,12 @@ the comparator symbol is available from the comparison constraint. In this section, we introduce the `typedb-graph-utils` python library developed alongside this tutorial. It follows the structure of the TypeScript library we wrote for TypeDB studio. -This library handles computing the constraints involved in an answer, and substitutes concepts into the constraints - - - The essence remains the same as what we’ve covered in the tutorial - find the constraints "`involved`" in each answer, and substitute in the concepts for the variables. Instead of converting a constraint into query edges, and then applying the substitution to form data-edges, -We directly apply the substitution on the `Constraint` s to obtain the corresponding `DataConstraint` - +we apply the substitution directly on the `Constraint` s to obtain a corresponding `DataConstraint`. These constrain `DataVertex` es instead of `ConstraintVertex` es. -The library handles this part, allowing you to focus on constructing your target representation. +The library handles the conversion of answers to `DataConstraint` s, allowing you to focus on constructing your target representation. === Data constraints Here’s the signature of an `Isa` `DataConstraint` from the library, @@ -695,7 +692,7 @@ One `add_` method per data constraint, and a `finish(self) -> OutputType` to bui We provide a sample implementation -`NetworkXBuilder` - which builds a `MultiDiGraph` as in this tutorial. We also provide a basic `MatplotlibVisualizer` with a familiar `draw` function for inspiration. -=== Creating a visualiser using the library +=== Building a visualiser using the library We now recreate the previous example by implementing the `TypeDBAnswerConverter` class provided by the library. [source, python]