clarion/api_adapters.py at main · daringpatil3134/clarion · GitHub

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"""Transform a ContextIQ PipelineResult into the shape the UI JavaScript expects.

The UI was originally designed around a simple Azure OpenAI synthesis response:
  { facts, conflicts, brief, metrics, synthesizedAt }

ContextIQ produces a richer PipelineResult.  This module maps between them so
the existing UI JS works without structural changes, while also attaching the
full ContextIQ communications as extra fields consumed by the Outputs screen.
"""
from __future__ import annotations

from models.schemas import PipelineResult

# ContextIQ confidence → UI severity
_CONF_TO_SEVERITY = {"high": "critical", "medium": "high", "low": "medium"}


def pipeline_result_to_synthesis(result: PipelineResult) -> dict:
    """Map a PipelineResult to the UI's expected synthesis response shape."""
    syn   = result.synthesis_report
    rca   = result.rca_report
    cfd   = result.conflict_report
    comms = result.communications
    met   = result.run_metrics

    # ── Facts ─────────────────────────────────────────────────────────────────
    facts = [
        {
            "fact":               f.fact,
            "text":               f.fact,
            "source":             f.source_artifact_id,
            "source_artifact_id": f.source_artifact_id,
            "source_entry_id":    f.source_entry_id,
            "confidence":         f.confidence,
            "severity":           _CONF_TO_SEVERITY.get(f.confidence, "medium"),
        }
        for f in syn.confirmed_facts
    ]

    # ── RCA chain ─────────────────────────────────────────────────────────────
    rca_chain = [
        {
            "layer":              node.layer,
            "statement":          node.statement,
            "confidence":         node.confidence,
            "source":             node.source_artifact_id,
            "source_artifact_id": node.source_artifact_id,
            "source_entry_id":    node.source_entry_id,
        }
        for node in rca.causal_chain
    ]

    # ── RCA dead branches ──────────────────────────────────────────────────────
    dead_branches = [
        {
            "layer":              node.layer,
            "statement":          node.statement,
            "confidence":         node.confidence,
            "source":             node.source_artifact_id,
            "source_artifact_id": node.source_artifact_id,
            "source_entry_id":    node.source_entry_id,
            "resolution_note":    node.resolution_note,
        }
        for node in rca.dead_branches
    ]

    # ── Conflicts ─────────────────────────────────────────────────────────────
    conflicts = [
        {
            "id":    i + 1,
            "title": c.description[:70],
            "severity": c.severity,
            "artifactA": {
                "name":  c.source_a_artifact_id,
                "claim": c.source_a_claim,
            },
            "artifactB": {
                "name":  c.source_b_artifact_id,
                "claim": c.source_b_claim,
            },
            "possibleExplanation": c.rca_resolution or "",
        }
        for i, c in enumerate(cfd.conflicts)
    ]

    # ── Triage brief ──────────────────────────────────────────────────────────
    metrics_str = (
        "; ".join(f"{k}: {v}" for k, v in syn.key_metrics.items())
        if syn.key_metrics
        else "See synthesised facts."
    )
    conflict_summary = (
        f"{cfd.total_conflicts} conflict(s) detected, {cfd.unresolved_count} unresolved."
        if cfd.total_conflicts
        else "No conflicts detected."
    )

    brief = {
        "situation":           syn.initial_hypothesis,
        "keyData":             metrics_str,
        "rootCauseHypothesis": rca.root_cause.statement,
        "conflictSummary":     conflict_summary,
        "recommendedActions":  [
            rca.technical_recommendation,
            rca.process_recommendation,
        ],
    }

    # ── Performance metrics ───────────────────────────────────────────────────
    timing   = met.get("timing", {}) if isinstance(met, dict) else {}
    total_ms = int(timing.get("total", 0) * 1000) if isinstance(timing, dict) else 0

    metrics_out = {
        "factsExtracted":   len(facts),
        "conflictsFound":   len(conflicts),
        "processingTimeMs": total_ms,
        "citationCoverage": comms.audit_manifest.citation_coverage_pct,
        "timing":           timing,
    }

    # ── Full synthesis response ───────────────────────────────────────────────
    return {
        # Core UI fields (unchanged contract)
        "facts":        facts,
        "conflicts":    conflicts,
        "brief":        brief,
        "metrics":      metrics_out,
        "synthesizedAt": comms.comms_timestamp,

        # RCA chain + confidence
        "rca": {
            "confidence_overall":   rca.confidence_overall,
            "causal_chain":         rca_chain,
            "dead_branches":        dead_branches,
            "contributing_factors": rca.contributing_factors,
        },

        # Synthesis extras consumed by the audit trail
        "key_metrics":    syn.key_metrics,
        "open_questions": syn.open_questions,

        # ContextIQ-specific — consumed by the Outputs screen
        "communications": {
            "customer_update":     comms.customer_update,
            "executive_brief":     comms.executive_brief,
            "engineering_handoff": comms.engineering_handoff,
        },
        "audit_manifest":  comms.audit_manifest.model_dump(),
        "security_report": result.security_report.model_dump(),
    }