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from __future__ import annotations
import json
from fastapi import APIRouter
from dateutil.parser import isoparse
from eval.constraints import check_constraints
from eval.feasibility import check_feasibility
from eval.hallucination import check_hallucinations
from eval.recall import calculate_recall
from eval.time_math import calculate_overlaps
from planproof_api.agent.extractor import extract_metadata
from planproof_api.agent.planner import PlanGenerationError, generate_plan
from planproof_api.agent.schemas import (
DebugInfo,
ExtractedMetadata,
PlanItem,
PlanRequest,
PlanResponse,
PlanValidation,
ValidationMetrics,
)
from opik import opik_context
from planproof_api.observability.opik import opik
router = APIRouter()
def _derive_confidence(validation: PlanValidation) -> str:
if validation.status == "fail":
return "low"
if (
validation.metrics.keyword_recall_score >= 0.85
and validation.metrics.hallucination_count == 0
and validation.metrics.overlap_minutes == 0
):
return "high"
return "medium"
def _format_plan(plan: list[PlanItem]) -> str:
return json.dumps([item.model_dump() for item in plan], indent=2)
@opik.track(name="initial_planning_step")
def _initial_planning_step(
request: PlanRequest, metadata: ExtractedMetadata
) -> tuple[list[PlanItem], list[str], list[str]]:
return generate_plan(
request.context,
metadata,
request.current_time,
request.timezone,
)
@opik.track(name="validation_step")
def _validate_plan(
plan: list[PlanItem], metadata: ExtractedMetadata, current_time: str
) -> PlanValidation:
"""Validate a generated plan using deterministic checks.
This is the "Validation" step of the Sandwich Architecture.
Args:
plan: Generated plan items to validate.
metadata: Extracted metadata used for grounding.
current_time: ISO-8601 timestamp representing "now".
Returns:
PlanValidation containing metrics and errors.
"""
constraint_violation_count = check_constraints(
plan, metadata.detected_constraints, current_time
)
overlap_minutes = calculate_overlaps(plan)
hallucination_count = check_hallucinations(
plan, metadata.ground_truth_entities, metadata.task_keywords
)
keyword_recall_score = calculate_recall(plan, metadata.task_keywords)
human_feasibility_flags = check_feasibility(plan)
errors: list[str] = []
current_dt = isoparse(current_time)
for item in plan:
start_dt = isoparse(item.start_time)
end_dt = isoparse(item.end_time)
if start_dt < current_dt:
constraint_violation_count += 1
errors.append(f'Task "{item.task}" starts in the past.')
duration_minutes = (end_dt - start_dt).total_seconds() / 60
if abs(duration_minutes - item.timebox_minutes) > 1:
errors.append(
f'Task "{item.task}" timebox_minutes mismatch with duration.'
)
if constraint_violation_count > 0:
errors.append("constraint_violation_count > 0")
if overlap_minutes > 0:
errors.append("overlap_minutes > 0")
if hallucination_count > 0:
errors.append("hallucination_count > 0")
if keyword_recall_score < 0.7:
errors.append("keyword_recall_score < 0.7")
# if human_feasibility_flags > 0:
# errors.append("human_feasibility_flags > 0")
status = "pass" if not errors else "fail"
metrics = ValidationMetrics(
constraint_violation_count=constraint_violation_count,
overlap_minutes=overlap_minutes,
hallucination_count=hallucination_count,
keyword_recall_score=keyword_recall_score,
human_feasibility_flags=human_feasibility_flags,
)
try:
opik_context.update_current_span(
metadata={
"constraint_violation_count": constraint_violation_count,
"overlap_minutes": overlap_minutes,
"hallucination_count": hallucination_count,
"keyword_recall_score": keyword_recall_score,
"human_feasibility_flags": human_feasibility_flags,
}
)
except Exception:
pass
return PlanValidation(status=status, metrics=metrics, errors=errors)
@opik.track(name="repair_step")
def _repair_plan(
request: PlanRequest, metadata: ExtractedMetadata, failed_plan: list[PlanItem], errors: list[str]
) -> tuple[list[PlanItem], list[str], list[str]]:
repair_prompt = (
"Original context:\n"
f"{request.context}\n\n"
"Failed plan:\n"
f"{_format_plan(failed_plan)}\n\n"
"Validation errors:\n"
f"{json.dumps(errors, indent=2)}"
)
return generate_plan(
request.context,
metadata,
request.current_time,
request.timezone,
repair_prompt=repair_prompt,
)
@router.post("/api/plan", response_model=PlanResponse)
@opik.track(name="plan_request")
def create_plan(request: PlanRequest) -> PlanResponse:
try:
opik_context.update_current_trace(metadata={"variant": request.variant})
except Exception:
pass
metadata = extract_metadata(request.context)
print(
f"DEBUG: Extractor produced {len(metadata.task_keywords)} keywords"
)
try:
plan, assumptions, questions = _initial_planning_step(request, metadata)
except PlanGenerationError as exc:
validation = PlanValidation(
status="fail",
metrics=ValidationMetrics(
constraint_violation_count=0,
overlap_minutes=0,
hallucination_count=0,
keyword_recall_score=0.0,
human_feasibility_flags=0,
),
errors=[str(exc)],
)
return PlanResponse(
plan=[],
extracted_metadata=metadata,
assumptions=[],
questions=[],
confidence=_derive_confidence(validation),
validation=validation,
debug=DebugInfo(
repair_attempted=False,
repair_success=False,
variant=request.variant,
),
)
validation = _validate_plan(plan, metadata, request.current_time)
print(
"DEBUG: Validation - Overlaps: "
f"{validation.metrics.overlap_minutes}, "
"Recall: "
f"{validation.metrics.keyword_recall_score}"
)
repair_attempted = False
repair_success = False
if validation.status == "fail":
repair_attempted = True
try:
plan, assumptions, questions = _repair_plan(
request, metadata, plan, validation.errors
)
validation = _validate_plan(plan, metadata, request.current_time)
repair_success = validation.status == "pass"
print(
"DEBUG: Validation (repair) - Overlaps: "
f"{validation.metrics.overlap_minutes}, "
"Recall: "
f"{validation.metrics.keyword_recall_score}"
)
except PlanGenerationError as exc:
validation = PlanValidation(
status="fail",
metrics=ValidationMetrics(
constraint_violation_count=0,
overlap_minutes=0,
hallucination_count=0,
keyword_recall_score=0.0,
human_feasibility_flags=0,
),
errors=[str(exc)],
)
trace_id = "No Trace"
try:
trace_id = opik_context.get_current_trace_id() or "No Trace"
except Exception:
pass
print(f"DEBUG: Opik Trace ID: {trace_id}")
return PlanResponse(
plan=plan,
extracted_metadata=metadata,
assumptions=assumptions,
questions=questions,
confidence=_derive_confidence(validation),
validation=validation,
debug=DebugInfo(
repair_attempted=repair_attempted,
repair_success=repair_success,
variant=request.variant,
),
)