bibinprathap/veritasgraph/decision

from veritasreason.context import AgentContext
ctx = AgentContext(decision_tracking=True)
decision_id = ctx.record_decision(
    category=category,        # "loan_approval", "deployment", "hiring"
    scenario=scenario,        # natural-language situation description
    reasoning=reasoning,      # why this decision was made
    outcome=outcome,          # "approved", "rejected", "deferred"
    confidence=float(confidence),
    entities=entities or [],
    decision_maker="ai_agent",
    valid_from=valid_from,    # optional ISO date string
    valid_until=valid_until,
)

from veritasreason.context import AgentContext
ctx = AgentContext(decision_tracking=True, advanced_analytics=True)
results = ctx.query_decisions(
    query=question,
    max_hops=int(hops) if hops else 3,
    include_context=True,
    use_hybrid_search="--hybrid" in args,
)

from veritasreason.context.decision_query import DecisionQuery
dq = DecisionQuery(graph_store=ctx.graph_store)
# dq.find_by_category(category, limit=100)
# dq.find_by_entity(entity_id, limit=100)
# dq.find_by_time_range(start, end, limit=100)
# dq.multi_hop_reasoning(start_entity, query_context, max_hops=3)
# dq.trace_decision_path(decision_id, relationship_types)
# dq.analyze_decision_influence(decision_id, max_depth=3)

from veritasreason.context import AgentContext
ctx = AgentContext(decision_tracking=True, kg_algorithms=True, vector_store_features=True)
if "--advanced" in args:
    precedents = ctx.find_precedents_advanced(
        scenario=scenario, category=category, limit=10,
        use_kg_features=True,
        similarity_weights={"semantic": 0.5, "structural": 0.3, "vector": 0.2},
    )
else:
    precedents = ctx.find_precedents(
        scenario=scenario, category=category, limit=10,
        use_hybrid_search=True,
        max_hops=int(hops) if hops else 3,
        include_context=True,
        include_superseded=False,
        as_of=as_of_date or None,   # temporal filter: only precedents that existed as_of this date
    )

from veritasreason.context import AgentContext
ctx = AgentContext(decision_tracking=True, advanced_analytics=True, kg_algorithms=True)
influence = ctx.analyze_decision_influence(decision_id, max_depth=int(depth) if depth else 3)
predictions = ctx.predict_decision_relationships(decision_id, top_k=5)

from veritasreason.context import AgentContext, ContextGraph
ctx = AgentContext(decision_tracking=True)
explainability = ctx.trace_decision_explainability(decision_id)
graph = ContextGraph(advanced_analytics=True)
chain = graph.trace_decision_chain(decision_id, max_steps=5)
causality = graph.trace_decision_causality(decision_id, max_depth=5)

from veritasreason.context import ContextGraph, AgentContext
ctx = AgentContext(decision_tracking=True, advanced_analytics=True)
graph = ContextGraph(advanced_analytics=True)
insights = graph.get_decision_insights()
summary = graph.get_decision_summary()
context_insights = ctx.get_context_insights()

from veritasreason.context.decision_query import DecisionQuery
from veritasreason.context import AgentContext
from datetime import datetime
ctx = AgentContext(decision_tracking=True)
dq = DecisionQuery(graph_store=ctx.graph_store)
if category:    decisions = dq.find_by_category(category, limit=100)
elif entity:    decisions = dq.find_by_entity(entity, limit=100)
elif from_date: decisions = dq.find_by_time_range(
                    start=datetime.fromisoformat(from_date),
                    end=datetime.fromisoformat(to_date or "2099-12-31"),
                )

from veritasreason.context.decision_recorder import DecisionRecorder
from veritasreason.context import AgentContext
ctx = AgentContext(decision_tracking=True)
recorder = DecisionRecorder(graph_store=ctx.graph_store)
exception_id = recorder.record_exception(
    decision_id=decision_id, policy_id=policy_id,
    reason=reason, approver=approver,
    approval_method="manual_override", justification=reason,
)
from veritasreason.context.decision_query import DecisionQuery
dq = DecisionQuery(graph_store=ctx.graph_store)
similar = dq.find_similar_exceptions(exception_reason=reason, limit=5)