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""" |
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PlanopticonIngester — loads planopticon output into the navegador knowledge graph. |
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Planopticon extracts structured knowledge from videos, meetings, and documents: |
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entities, relationships, key points, action items, and diagrams. This ingester |
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maps that output onto navegador's knowledge layer so agents can query business |
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context alongside code. |
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Supported input: |
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- manifest.json (single video — primary entry point) |
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- interchange.json (canonical planopticon exchange format) |
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- knowledge_graph.json (raw KG export, no manifest required) |
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Mapping: |
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planopticon → navegador |
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───────────────────────────────────────── |
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node type=person → Person |
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node type=concept/technology → Concept |
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node type=organization → Concept (domain = "organization") |
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PlanningEntity type=decision → Decision |
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PlanningEntity type=requirement/constraint → Rule |
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diagram → WikiPage (content = mermaid/description) |
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key_point → Concept (tagged from source) |
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action_item.assignee → Person + ASSIGNED_TO edge |
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relationship.type → mapped EdgeType (see EDGE_MAP) |
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Usage: |
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from navegador.ingestion.planopticon import PlanopticonIngester |
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store = GraphStore.sqlite(".navegador/graph.db") |
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ing = PlanopticonIngester(store) |
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stats = ing.ingest_manifest("planopticon-output/manifest.json") |
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stats = ing.ingest_kg("planopticon-output/results/knowledge_graph.json") |
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stats = ing.ingest_interchange("planopticon-output/interchange.json") |
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""" |
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import json |
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import logging |
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from pathlib import Path |
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from typing import Any |
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from navegador.graph.schema import EdgeType, NodeLabel |
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from navegador.graph.store import GraphStore |
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logger = logging.getLogger(__name__) |
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# ── Relationship type mapping ───────────────────────────────────────────────── |
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EDGE_MAP: dict[str, EdgeType] = { |
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"related_to": EdgeType.RELATED_TO, |
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"uses": EdgeType.DEPENDS_ON, |
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"depends_on": EdgeType.DEPENDS_ON, |
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"built_on": EdgeType.DEPENDS_ON, |
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"implements": EdgeType.IMPLEMENTS, |
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"requires": EdgeType.DEPENDS_ON, |
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"blocked_by": EdgeType.DEPENDS_ON, |
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"has_risk": EdgeType.RELATED_TO, |
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"addresses": EdgeType.RELATED_TO, |
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"has_tradeoff": EdgeType.RELATED_TO, |
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"delivers": EdgeType.IMPLEMENTS, |
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"parent_of": EdgeType.CONTAINS, |
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"assigned_to": EdgeType.ASSIGNED_TO, |
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"owned_by": EdgeType.ASSIGNED_TO, |
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"owns": EdgeType.ASSIGNED_TO, |
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"employed_by": EdgeType.ASSIGNED_TO, |
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"works_with": EdgeType.RELATED_TO, |
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"governs": EdgeType.GOVERNS, |
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"documents": EdgeType.DOCUMENTS, |
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} |
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# planopticon node type → navegador NodeLabel |
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NODE_TYPE_MAP: dict[str, NodeLabel] = { |
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"concept": NodeLabel.Concept, |
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"technology": NodeLabel.Concept, |
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"organization": NodeLabel.Concept, |
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"diagram": NodeLabel.WikiPage, |
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"time": NodeLabel.Concept, |
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"person": NodeLabel.Person, |
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} |
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# planning_type → navegador NodeLabel |
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PLANNING_TYPE_MAP: dict[str, NodeLabel] = { |
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"decision": NodeLabel.Decision, |
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"requirement": NodeLabel.Rule, |
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"constraint": NodeLabel.Rule, |
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"risk": NodeLabel.Rule, |
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"goal": NodeLabel.Concept, |
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"assumption": NodeLabel.Concept, |
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"feature": NodeLabel.Concept, |
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"milestone": NodeLabel.Concept, |
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"task": NodeLabel.Concept, |
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"dependency": NodeLabel.Concept, |
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} |
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class PlanopticonIngester: |
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""" |
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Reads planopticon output and writes it into a GraphStore. |
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All paths may be relative (resolved against the manifest's parent directory) |
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or absolute. |
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""" |
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def __init__(self, store: GraphStore, source_tag: str = "") -> None: |
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self.store = store |
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self.source_tag = source_tag # optional label for provenance |
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self._stats: dict[str, int] = {} |
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# ── Entry points ────────────────────────────────────────────────────────── |
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def ingest_manifest(self, manifest_path: str | Path) -> dict[str, int]: |
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""" |
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Primary entry point — reads manifest.json and ingests everything: |
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knowledge graph, key points, action items, and diagrams. |
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""" |
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manifest_path = Path(manifest_path).resolve() |
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base_dir = manifest_path.parent |
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manifest = self._load_json(manifest_path) |
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stats = self._reset_stats() |
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title = manifest.get("video", {}).get("title", manifest_path.parent.name) |
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self.source_tag = self.source_tag or title |
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# 1. Knowledge graph (entities + relationships) |
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kg_path = manifest.get("knowledge_graph_json") |
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if kg_path: |
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self.ingest_kg(base_dir / kg_path) |
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# 2. Key points → Concept nodes |
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kp_path = manifest.get("key_points_json") |
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key_points = ( |
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self._load_json(base_dir / kp_path) if kp_path else manifest.get("key_points", []) |
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) |
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self._ingest_key_points(key_points, title) |
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# 3. Action items → Person nodes + ASSIGNED_TO edges |
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ai_path = manifest.get("action_items_json") |
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action_items = ( |
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self._load_json(base_dir / ai_path) if ai_path else manifest.get("action_items", []) |
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) |
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self._ingest_action_items(action_items, title) |
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# 4. Diagrams → WikiPage nodes |
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for diagram in manifest.get("diagrams", []): |
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self._ingest_diagram(diagram, base_dir, title) |
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logger.info( |
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"PlanopticonIngester (%s): nodes=%d edges=%d", |
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title, |
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stats.get("nodes", 0), |
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stats.get("edges", 0), |
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) |
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return stats |
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def ingest_kg(self, kg_path: str | Path) -> dict[str, int]: |
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""" |
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Ingest a knowledge_graph.json (KnowledgeGraphData) directly. |
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Can be used standalone without a manifest. |
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""" |
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kg_path = Path(kg_path).resolve() |
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data = self._load_json(kg_path) |
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stats = self._reset_stats() |
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for node in data.get("nodes", []): |
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self._ingest_kg_node(node) |
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for rel in data.get("relationships", []): |
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self._ingest_kg_relationship(rel) |
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# Ingest sources as WikiPage nodes |
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for source in data.get("sources", []): |
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self._ingest_source(source) |
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return stats |
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def ingest_interchange(self, interchange_path: str | Path) -> dict[str, int]: |
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""" |
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Ingest a planopticon interchange.json (PlanOpticonExchange format). |
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Includes planning taxonomy, artifacts, and full entity graph. |
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""" |
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interchange_path = Path(interchange_path).resolve() |
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data = self._load_json(interchange_path) |
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stats = self._reset_stats() |
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project = data.get("project", {}) |
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project_name = project.get("name", interchange_path.parent.name) |
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self.source_tag = self.source_tag or project_name |
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# Domain from project tags |
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for tag in project.get("tags", []): |
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self.store.create_node(NodeLabel.Domain, {"name": tag, "description": ""}) |
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# Entities (planning taxonomy takes priority over raw type) |
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for entity in data.get("entities", []): |
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planning_type = entity.get("planning_type") |
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if planning_type and planning_type in PLANNING_TYPE_MAP: |
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self._ingest_planning_entity(entity) |
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else: |
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self._ingest_kg_node(entity) |
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# Relationships |
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for rel in data.get("relationships", []): |
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self._ingest_kg_relationship(rel) |
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205
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# Artifacts → WikiPage nodes |
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for artifact in data.get("artifacts", []): |
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self._ingest_artifact(artifact, project_name) |
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208
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|
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209
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# Sources |
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for source in data.get("sources", []): |
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self._ingest_source(source) |
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return stats |
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215
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def ingest_batch(self, batch_manifest_path: str | Path) -> dict[str, int]: |
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216
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""" |
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217
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Ingest a batch manifest — processes each video's manifest in turn, |
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218
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then the merged knowledge graph if present. |
|
219
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""" |
|
220
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batch_manifest_path = Path(batch_manifest_path).resolve() |
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221
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base_dir = batch_manifest_path.parent |
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batch = self._load_json(batch_manifest_path) |
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223
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stats = self._reset_stats() |
|
224
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225
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# Merged KG supersedes individual ones if present |
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226
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merged = batch.get("merged_knowledge_graph_json") |
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227
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if merged: |
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228
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sub = self.ingest_kg(base_dir / merged) |
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229
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self._merge_stats(sub) |
|
230
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else: |
|
231
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for video in batch.get("videos", []): |
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232
|
if video.get("status") == "completed": |
|
233
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mp = video.get("manifest_path") |
|
234
|
if mp: |
|
235
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sub = self.ingest_manifest(base_dir / mp) |
|
236
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self._merge_stats(sub) |
|
237
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|
238
|
return stats |
|
239
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|
|
240
|
# ── Node ingestion ──────────────────────────────────────────────────────── |
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241
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|
242
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def _ingest_kg_node(self, node: dict[str, Any]) -> None: |
|
243
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raw_type = node.get("type", "concept") |
|
244
|
label = NODE_TYPE_MAP.get(raw_type, NodeLabel.Concept) |
|
245
|
|
|
246
|
name = (node.get("name") or node.get("id") or "").strip() |
|
247
|
if not name: |
|
248
|
return |
|
249
|
|
|
250
|
descriptions = node.get("descriptions", []) |
|
251
|
description = descriptions[0] if descriptions else node.get("description", "") |
|
252
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|
|
253
|
if label == NodeLabel.Person: |
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254
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self.store.create_node( |
|
255
|
NodeLabel.Person, |
|
256
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{ |
|
257
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"name": name, |
|
258
|
"email": "", |
|
259
|
"role": node.get("role", ""), |
|
260
|
"team": node.get("organization", ""), |
|
261
|
}, |
|
262
|
) |
|
263
|
elif label == NodeLabel.WikiPage: |
|
264
|
self.store.create_node( |
|
265
|
NodeLabel.WikiPage, |
|
266
|
{ |
|
267
|
"name": name, |
|
268
|
"url": node.get("source", ""), |
|
269
|
"source": self.source_tag, |
|
270
|
"content": description[:4000], |
|
271
|
}, |
|
272
|
) |
|
273
|
else: |
|
274
|
domain = "organization" if raw_type == "organization" else node.get("domain", "") |
|
275
|
self.store.create_node( |
|
276
|
NodeLabel.Concept, |
|
277
|
{ |
|
278
|
"name": name, |
|
279
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"description": description, |
|
280
|
"domain": domain, |
|
281
|
"status": node.get("status", ""), |
|
282
|
}, |
|
283
|
) |
|
284
|
if domain: |
|
285
|
self._ensure_domain(domain) |
|
286
|
self.store.create_edge( |
|
287
|
NodeLabel.Concept, |
|
288
|
{"name": name}, |
|
289
|
EdgeType.BELONGS_TO, |
|
290
|
NodeLabel.Domain, |
|
291
|
{"name": domain}, |
|
292
|
) |
|
293
|
|
|
294
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
295
|
|
|
296
|
# Provenance: link to source WikiPage if present |
|
297
|
source_id = node.get("source") |
|
298
|
if source_id: |
|
299
|
self._lazy_wiki_link(name, label, source_id) |
|
300
|
|
|
301
|
def _ingest_planning_entity(self, entity: dict[str, Any]) -> None: |
|
302
|
planning_type = entity.get("planning_type", "concept") |
|
303
|
label = PLANNING_TYPE_MAP.get(planning_type, NodeLabel.Concept) |
|
304
|
name = (entity.get("name") or "").strip() |
|
305
|
if not name: |
|
306
|
return |
|
307
|
|
|
308
|
description = entity.get("description", "") |
|
309
|
domain = entity.get("domain", "") |
|
310
|
status = entity.get("status", "") |
|
311
|
priority = entity.get("priority", "") |
|
312
|
|
|
313
|
if label == NodeLabel.Decision: |
|
314
|
self.store.create_node( |
|
315
|
NodeLabel.Decision, |
|
316
|
{ |
|
317
|
"name": name, |
|
318
|
"description": description, |
|
319
|
"domain": domain, |
|
320
|
"status": status or "accepted", |
|
321
|
"rationale": entity.get("rationale", ""), |
|
322
|
}, |
|
323
|
) |
|
324
|
elif label == NodeLabel.Rule: |
|
325
|
self.store.create_node( |
|
326
|
NodeLabel.Rule, |
|
327
|
{ |
|
328
|
"name": name, |
|
329
|
"description": description, |
|
330
|
"domain": domain, |
|
331
|
"severity": "critical" if priority == "high" else "info", |
|
332
|
"rationale": entity.get("rationale", ""), |
|
333
|
}, |
|
334
|
) |
|
335
|
else: |
|
336
|
self.store.create_node( |
|
337
|
NodeLabel.Concept, |
|
338
|
{ |
|
339
|
"name": name, |
|
340
|
"description": description, |
|
341
|
"domain": domain, |
|
342
|
"status": status, |
|
343
|
}, |
|
344
|
) |
|
345
|
|
|
346
|
if domain: |
|
347
|
self._ensure_domain(domain) |
|
348
|
self.store.create_edge( |
|
349
|
label, |
|
350
|
{"name": name}, |
|
351
|
EdgeType.BELONGS_TO, |
|
352
|
NodeLabel.Domain, |
|
353
|
{"name": domain}, |
|
354
|
) |
|
355
|
|
|
356
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
357
|
|
|
358
|
def _ingest_kg_relationship(self, rel: dict[str, Any]) -> None: |
|
359
|
src = (rel.get("source") or "").strip() |
|
360
|
tgt = (rel.get("target") or "").strip() |
|
361
|
rel_type = (rel.get("type") or "related_to").lower().replace(" ", "_") |
|
362
|
|
|
363
|
if not src or not tgt: |
|
364
|
return |
|
365
|
|
|
366
|
edge_type = EDGE_MAP.get(rel_type, EdgeType.RELATED_TO) |
|
367
|
|
|
368
|
# We don't know the exact label of each node — use a label-agnostic match |
|
369
|
cypher = ( |
|
370
|
""" |
|
371
|
MATCH (a), (b) |
|
372
|
WHERE a.name = $src AND b.name = $tgt |
|
373
|
MERGE (a)-[r:""" |
|
374
|
+ edge_type |
|
375
|
+ """]->(b) |
|
376
|
""" |
|
377
|
) |
|
378
|
try: |
|
379
|
self.store.query(cypher, {"src": src, "tgt": tgt}) |
|
380
|
self._stats["edges"] = self._stats.get("edges", 0) + 1 |
|
381
|
except Exception: |
|
382
|
logger.warning("Could not create edge %s -[%s]-> %s", src, edge_type, tgt) |
|
383
|
|
|
384
|
def _ingest_key_points(self, key_points: list[dict], source: str) -> None: |
|
385
|
for kp in key_points: |
|
386
|
point = (kp.get("point") or "").strip() |
|
387
|
if not point: |
|
388
|
continue |
|
389
|
topic = kp.get("topic") or "" |
|
390
|
name = point[:120] # use the point text as the concept name |
|
391
|
self.store.create_node( |
|
392
|
NodeLabel.Concept, |
|
393
|
{ |
|
394
|
"name": name, |
|
395
|
"description": kp.get("details", ""), |
|
396
|
"domain": topic, |
|
397
|
"status": "key_point", |
|
398
|
}, |
|
399
|
) |
|
400
|
if topic: |
|
401
|
self._ensure_domain(topic) |
|
402
|
self.store.create_edge( |
|
403
|
NodeLabel.Concept, |
|
404
|
{"name": name}, |
|
405
|
EdgeType.BELONGS_TO, |
|
406
|
NodeLabel.Domain, |
|
407
|
{"name": topic}, |
|
408
|
) |
|
409
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
410
|
|
|
411
|
def _ingest_action_items(self, action_items: list[dict], source: str) -> None: |
|
412
|
for item in action_items: |
|
413
|
action = (item.get("action") or "").strip() |
|
414
|
assignee = (item.get("assignee") or "").strip() |
|
415
|
if not action: |
|
416
|
continue |
|
417
|
|
|
418
|
# Action → Rule (it's a commitment / obligation) |
|
419
|
self.store.create_node( |
|
420
|
NodeLabel.Rule, |
|
421
|
{ |
|
422
|
"name": action[:120], |
|
423
|
"description": item.get("context", ""), |
|
424
|
"domain": source, |
|
425
|
"severity": item.get("priority", "info"), |
|
426
|
"rationale": f"Action item from {source}", |
|
427
|
}, |
|
428
|
) |
|
429
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
430
|
|
|
431
|
if assignee: |
|
432
|
self.store.create_node( |
|
433
|
NodeLabel.Person, |
|
434
|
{ |
|
435
|
"name": assignee, |
|
436
|
"email": "", |
|
437
|
"role": "", |
|
438
|
"team": "", |
|
439
|
}, |
|
440
|
) |
|
441
|
self.store.create_edge( |
|
442
|
NodeLabel.Rule, |
|
443
|
{"name": action[:120]}, |
|
444
|
EdgeType.ASSIGNED_TO, |
|
445
|
NodeLabel.Person, |
|
446
|
{"name": assignee}, |
|
447
|
) |
|
448
|
self._stats["edges"] = self._stats.get("edges", 0) + 1 |
|
449
|
|
|
450
|
def _ingest_diagram(self, diagram: dict[str, Any], base_dir: Path, source: str) -> None: |
|
451
|
dtype = diagram.get("diagram_type", "diagram") |
|
452
|
desc = diagram.get("description") or diagram.get("text_content") or "" |
|
453
|
mermaid = diagram.get("mermaid", "") |
|
454
|
ts = diagram.get("timestamp") |
|
455
|
name = f"{dtype.capitalize()} @ {ts:.0f}s" if ts is not None else f"{dtype.capitalize()}" |
|
456
|
|
|
457
|
content = mermaid or desc |
|
458
|
self.store.create_node( |
|
459
|
NodeLabel.WikiPage, |
|
460
|
{ |
|
461
|
"name": name, |
|
462
|
"url": diagram.get("image_path", ""), |
|
463
|
"source": source, |
|
464
|
"content": content[:4000], |
|
465
|
}, |
|
466
|
) |
|
467
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
468
|
|
|
469
|
# Link diagram elements as concepts |
|
470
|
for element in diagram.get("elements", []): |
|
471
|
element = element.strip() |
|
472
|
if not element: |
|
473
|
continue |
|
474
|
self.store.create_node( |
|
475
|
NodeLabel.Concept, |
|
476
|
{ |
|
477
|
"name": element, |
|
478
|
"description": "", |
|
479
|
"domain": source, |
|
480
|
"status": "", |
|
481
|
}, |
|
482
|
) |
|
483
|
self.store.create_edge( |
|
484
|
NodeLabel.WikiPage, |
|
485
|
{"name": name}, |
|
486
|
EdgeType.DOCUMENTS, |
|
487
|
NodeLabel.Concept, |
|
488
|
{"name": element}, |
|
489
|
) |
|
490
|
self._stats["edges"] = self._stats.get("edges", 0) + 1 |
|
491
|
|
|
492
|
def _ingest_source(self, source: dict[str, Any]) -> None: |
|
493
|
name = (source.get("title") or source.get("source_id") or "").strip() |
|
494
|
if not name: |
|
495
|
return |
|
496
|
self.store.create_node( |
|
497
|
NodeLabel.WikiPage, |
|
498
|
{ |
|
499
|
"name": name, |
|
500
|
"url": source.get("url") or source.get("path") or "", |
|
501
|
"source": source.get("source_type", ""), |
|
502
|
"content": "", |
|
503
|
"updated_at": source.get("ingested_at", ""), |
|
504
|
}, |
|
505
|
) |
|
506
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
507
|
|
|
508
|
def _ingest_artifact(self, artifact: dict[str, Any], project_name: str) -> None: |
|
509
|
name = (artifact.get("name") or "").strip() |
|
510
|
if not name: |
|
511
|
return |
|
512
|
content = artifact.get("content", "") |
|
513
|
self.store.create_node( |
|
514
|
NodeLabel.WikiPage, |
|
515
|
{ |
|
516
|
"name": name, |
|
517
|
"url": "", |
|
518
|
"source": project_name, |
|
519
|
"content": content[:4000], |
|
520
|
}, |
|
521
|
) |
|
522
|
self._stats["nodes"] = self._stats.get("nodes", 0) + 1 |
|
523
|
|
|
524
|
# ── Helpers ─────────────────────────────────────────────────────────────── |
|
525
|
|
|
526
|
def _ensure_domain(self, name: str) -> None: |
|
527
|
self.store.create_node(NodeLabel.Domain, {"name": name, "description": ""}) |
|
528
|
|
|
529
|
def _lazy_wiki_link(self, name: str, label: NodeLabel, source_id: str) -> None: |
|
530
|
"""Create a DOCUMENTS edge from a WikiPage to this node if the page exists.""" |
|
531
|
try: |
|
532
|
self.store.create_edge( |
|
533
|
NodeLabel.WikiPage, |
|
534
|
{"name": source_id}, |
|
535
|
EdgeType.DOCUMENTS, |
|
536
|
label, |
|
537
|
{"name": name}, |
|
538
|
) |
|
539
|
except Exception: |
|
540
|
logger.debug("Could not link %s to wiki page %s", name, source_id) |
|
541
|
|
|
542
|
def _load_json(self, path: Path) -> Any: |
|
543
|
return json.loads(Path(path).read_text(encoding="utf-8")) |
|
544
|
|
|
545
|
def _reset_stats(self) -> dict[str, int]: |
|
546
|
self._stats = {"nodes": 0, "edges": 0} |
|
547
|
return self._stats |
|
548
|
|
|
549
|
def _merge_stats(self, other: dict[str, int]) -> None: |
|
550
|
for k, v in other.items(): |
|
551
|
self._stats[k] = self._stats.get(k, 0) + v |
|
552
|
|