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UpdateLinkedInPagePipeline

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UpdateLinkedInPagePipeline

What it is

  • A pipeline that updates RDF triples for a LinkedIn page resource in an ontology.
  • It reads the existing subject graph from a triple store and inserts missing triples for:
    • LinkedIn identifiers/URLs
    • Ownership relations between the LinkedIn page and an owner entity

Public API

Classes

  • UpdateLinkedInPagePipelineConfiguration(PipelineConfiguration)

    • Purpose: Provide required services to the pipeline.
    • Fields:
      • triple_store: ITripleStoreService — triple store used to read and insert RDF triples.

  • UpdateLinkedInPagePipelineParameters(PipelineParameters)

    • Purpose: Input schema for updates (Pydantic-compatible).
    • Fields:
      • individual_uri: str — URI of the LinkedIn page (must match URI_REGEX).
      • linkedin_id: Optional[str] — LinkedIn unique ID.
      • linkedin_url: Optional[str] — LinkedIn URL (with LinkedIn ID as identifier).
      • linkedin_public_id: Optional[str] — LinkedIn public ID.
      • linkedin_public_url: Optional[str] — must match https?://.+\.linkedin\.com/(in|company|school|showcase)/[^?]+
      • owner_uri: Optional[str] — URI of the owner (must match URI_REGEX).

  • UpdateLinkedInPagePipeline(Pipeline)

    • Purpose: Orchestrates the update and persistence of missing triples.
    • Methods:
      • __init__(configuration: UpdateLinkedInPagePipelineConfiguration)
        • Stores configuration (notably triple_store).
      • run(parameters: PipelineParameters) -> rdflib.Graph
        • Validates parameters type (UpdateLinkedInPagePipelineParameters required).
        • Loads the current subject graph for individual_uri.
        • Inserts only triples that do not already exist with the exact same object value.
        • If owner_uri is provided, inserts both:
          • (individual_uri, ABI.isLinkedInPageOf, owner_uri)
          • (owner_uri, ABI.hasLinkedInPage, individual_uri)
        • Persists inserts via triple_store.insert(graph_insert).
        • Returns the merged graph (existing + inserted).
      • as_tools() -> list[langchain_core.tools.BaseTool]
        • Exposes a LangChain StructuredTool named update_linkedin_page that calls run(...).
      • as_api(...) -> None
        • Present but does nothing (returns None; no routes are registered).

Configuration/Dependencies

  • Requires an implementation of ITripleStoreService providing:
    • get_subject_graph(subject_uri: str) -> rdflib.Graph
    • insert(graph: rdflib.Graph) -> None
  • Uses RDF/ontology terms from naas_abi_core.utils.Graph.ABI:
    • ABI.linkedin_id, ABI.linkedin_url, ABI.linkedin_public_id, ABI.linkedin_public_url
    • ABI.isLinkedInPageOf, ABI.hasLinkedInPage
  • Uses rdflib for graph operations (Graph, URIRef, Literal).
  • Parameter validation relies on Pydantic Field constraints (e.g., URL pattern, URI regex).

Usage

from naas_abi.pipelines.UpdateLinkedInPagePipeline import (
    UpdateLinkedInPagePipeline,
    UpdateLinkedInPagePipelineConfiguration,
    UpdateLinkedInPagePipelineParameters,
)
 
# triple_store must implement ITripleStoreService
config = UpdateLinkedInPagePipelineConfiguration(triple_store=triple_store)
 
pipeline = UpdateLinkedInPagePipeline(config)
 
params = UpdateLinkedInPagePipelineParameters(
    individual_uri="https://example.org/linkedin/page/123",
    linkedin_public_url="https://www.linkedin.com/company/acme-inc",
    owner_uri="https://example.org/org/acme",
)
 
graph = pipeline.run(params)

Using the LangChain tool wrapper:

tool = UpdateLinkedInPagePipeline(config).as_tools()[0]
result_graph = tool.run({
    "individual_uri": "https://example.org/linkedin/page/123",
    "linkedin_id": "123",
})

Caveats

  • run() only inserts a triple if an identical triple (same subject, predicate, and object literal/URI) is not already present; it does not remove or replace existing differing values.
  • as_api() is a no-op; it does not expose any HTTP endpoints.

Graph View