From 396259ebe9de186dc38e4cf9408a7e40df63e514 Mon Sep 17 00:00:00 2001 From: yuqei Date: Tue, 23 Jun 2026 11:31:45 +0800 Subject: [PATCH] feat: enhance ai quality effect review --- .../packages/ai-openapi/openapi.yaml | 24 ++ .../src/yuqei_ai_platform_api/repository.py | 218 ++++++++++++++++-- .../tests/test_platform_data.py | 59 +++++ .../src/yuqei_sdk/ai_platform.py | 10 + yuqei-ai-sdk-python/tests/test_ai_platform.py | 16 +- .../app/admin/ai-quality-dashboard/page.tsx | 33 ++- .../apps/contract-web/src/app/globals.css | 6 + 7 files changed, 341 insertions(+), 25 deletions(-) diff --git a/yuqei-ai-platform/packages/ai-openapi/openapi.yaml b/yuqei-ai-platform/packages/ai-openapi/openapi.yaml index 5727d793..ede6e136 100644 --- a/yuqei-ai-platform/packages/ai-openapi/openapi.yaml +++ b/yuqei-ai-platform/packages/ai-openapi/openapi.yaml @@ -1759,6 +1759,20 @@ components: current_quality_score: type: number format: float + post_change_total_runs: + type: integer + post_change_affected_runs: + type: integer + post_change_pending_labels: + type: integer + post_change_quality_score: + type: number + format: float + post_change_affected_rate: + type: number + format: float + post_change_observation_days: + type: integer affected_rate_delta: type: number format: float @@ -1767,6 +1781,16 @@ components: quality_score_delta: type: number format: float + post_change_affected_rate_delta: + type: number + format: float + post_change_pending_labels_delta: + type: integer + post_change_quality_score_delta: + type: number + format: float + related_change_actions_count: + type: integer effect_status: type: string enum: [pending_data, improved, unchanged, regressed] diff --git a/yuqei-ai-platform/services/ai-platform-api/src/yuqei_ai_platform_api/repository.py b/yuqei-ai-platform/services/ai-platform-api/src/yuqei_ai_platform_api/repository.py index f2f76219..cf2bd360 100644 --- a/yuqei-ai-platform/services/ai-platform-api/src/yuqei_ai_platform_api/repository.py +++ b/yuqei-ai-platform/services/ai-platform-api/src/yuqei_ai_platform_api/repository.py @@ -9,7 +9,7 @@ from typing import Iterable, Protocol from uuid import uuid4 from pydantic import BaseModel, Field -from sqlalchemy import create_engine, delete, select, text +from sqlalchemy import create_engine, delete, or_, select, text from sqlalchemy.engine import Engine from sqlalchemy.orm import Session, sessionmaker from sqlalchemy.pool import StaticPool @@ -365,9 +365,19 @@ class AiQualityImprovementAction(AiQualityImprovementActionCreate): current_affected_runs: int = 0 current_pending_labels: int = 0 current_quality_score: float = 0.0 + post_change_total_runs: int = 0 + post_change_affected_runs: int = 0 + post_change_pending_labels: int = 0 + post_change_quality_score: float = 0.0 + post_change_affected_rate: float = 0.0 + post_change_observation_days: int = 0 affected_rate_delta: float = 0.0 pending_labels_delta: int = 0 quality_score_delta: float = 0.0 + post_change_affected_rate_delta: float = 0.0 + post_change_pending_labels_delta: int = 0 + post_change_quality_score_delta: float = 0.0 + related_change_actions_count: int = 0 effect_status: str = "pending_data" effect_summary: str | None = None resolution_note: str | None = None @@ -896,7 +906,11 @@ class InMemoryAiPlatformRepository: **payload.model_dump(exclude={"title"}), ) self.quality_improvement_actions[action.id] = action - return _materialize_improvement_action(action, self.ai_run_audits) + return _materialize_improvement_action( + action, + self.ai_run_audits, + all_actions=self.quality_improvement_actions.values(), + ) def update_quality_improvement_action( self, @@ -939,7 +953,11 @@ class InMemoryAiPlatformRepository: update["linked_import_batch_id"] = payload.linked_import_batch_id updated = action.model_copy(update=update) self.quality_improvement_actions[action_id] = updated - return _materialize_improvement_action(updated, self.ai_run_audits) + return _materialize_improvement_action( + updated, + self.ai_run_audits, + all_actions=self.quality_improvement_actions.values(), + ) def update_ai_run_quality_label( self, @@ -1557,9 +1575,21 @@ class SqlAlchemyAiPlatformRepository: .order_by(AiQualityImprovementActionModel.updated_at.desc()) .limit(20) ).all() + all_action_rows = session.scalars( + select(AiQualityImprovementActionModel).order_by( + AiQualityImprovementActionModel.updated_at.desc() + ) + ).all() action_days = [row.evaluation_days for row in action_rows] + resolved_since = [ + _ensure_utc(row.resolved_at) + for row in action_rows + if row.resolved_at is not None + ] stats_cutoff = datetime.now(UTC) - timedelta(days=max([days, *action_days], default=days) - 1) stats_cutoff = stats_cutoff.replace(hour=0, minute=0, second=0, microsecond=0) + if resolved_since: + stats_cutoff = min(stats_cutoff, min(resolved_since)) rows = session.scalars( select(AiRunAuditModel) .where(AiRunAuditModel.created_at >= stats_cutoff) @@ -1572,6 +1602,7 @@ class SqlAlchemyAiPlatformRepository: actions = _materialize_improvement_actions( [_quality_improvement_action_from_model(row) for row in action_rows], all_runs, + all_actions=[_quality_improvement_action_from_model(row) for row in all_action_rows], ) return _build_quality_dashboard( dashboard_runs, @@ -1608,15 +1639,57 @@ class SqlAlchemyAiPlatformRepository: max_days = max((row.evaluation_days for row in rows), default=14) cutoff = datetime.now(UTC) - timedelta(days=max(max_days - 1, 0)) cutoff = cutoff.replace(hour=0, minute=0, second=0, microsecond=0) + resolved_since = [ + _ensure_utc(row.resolved_at) + for row in rows + if row.resolved_at is not None + ] + if resolved_since: + cutoff = min(cutoff, min(resolved_since)) audit_rows = session.scalars( select(AiRunAuditModel) .where(AiRunAuditModel.created_at >= cutoff) .order_by(AiRunAuditModel.created_at.desc()) ).all() runs = [_ai_run_audit_from_model(row) for row in audit_rows] + related_statement = select(AiQualityImprovementActionModel) + if rows: + prompt_keys = [ + (row.linked_prompt_template_id, row.linked_prompt_template_version) + for row in rows + if row.linked_prompt_template_id + ] + import_batch_ids = [row.linked_import_batch_id for row in rows if row.linked_import_batch_id] + knowledge_base_ids = [ + row.linked_knowledge_base_id + for row in rows + if row.linked_knowledge_base_id and not row.linked_import_batch_id + ] + related_filters = [] + for prompt_id, prompt_version in prompt_keys: + related_filters.append( + (AiQualityImprovementActionModel.linked_prompt_template_id == prompt_id) + & (AiQualityImprovementActionModel.linked_prompt_template_version == prompt_version) + ) + if import_batch_ids: + related_filters.append( + AiQualityImprovementActionModel.linked_import_batch_id.in_(import_batch_ids) + ) + if knowledge_base_ids: + related_filters.append( + AiQualityImprovementActionModel.linked_knowledge_base_id.in_(knowledge_base_ids) + ) + if related_filters: + related_statement = related_statement.where(or_(*related_filters)) + related_rows = session.scalars(related_statement).all() if rows else [] + related_actions = [_quality_improvement_action_from_model(row) for row in related_rows] + row_actions = [_quality_improvement_action_from_model(row) for row in rows] + related_by_id = {action.id: action for action in related_actions} + related_by_id.update({action.id: action for action in row_actions}) actions = _materialize_improvement_actions( - [_quality_improvement_action_from_model(row) for row in rows], + row_actions, runs, + all_actions=related_by_id.values(), ) return _filter_improvement_actions( actions, @@ -1682,7 +1755,12 @@ class SqlAlchemyAiPlatformRepository: ) session.add(row) session.flush() - return _materialize_improvement_action(_quality_improvement_action_from_model(row), runs) + action_rows = session.scalars(select(AiQualityImprovementActionModel)).all() + return _materialize_improvement_action( + _quality_improvement_action_from_model(row), + runs, + all_actions=[_quality_improvement_action_from_model(action_row) for action_row in action_rows], + ) def update_quality_improvement_action( self, @@ -1724,6 +1802,8 @@ class SqlAlchemyAiPlatformRepository: cutoff = now - timedelta(days=max(row.evaluation_days - 1, 0)) cutoff = cutoff.replace(hour=0, minute=0, second=0, microsecond=0) + if row.resolved_at is not None: + cutoff = min(cutoff, _ensure_utc(row.resolved_at)) audit_rows = session.scalars( select(AiRunAuditModel) .where(AiRunAuditModel.created_at >= cutoff) @@ -1731,7 +1811,12 @@ class SqlAlchemyAiPlatformRepository: ).all() runs = [_ai_run_audit_from_model(row) for row in audit_rows] session.flush() - return _materialize_improvement_action(_quality_improvement_action_from_model(row), runs) + action_rows = session.scalars(select(AiQualityImprovementActionModel)).all() + return _materialize_improvement_action( + _quality_improvement_action_from_model(row), + runs, + all_actions=[_quality_improvement_action_from_model(action_row) for action_row in action_rows], + ) def update_ai_run_quality_label( self, @@ -2413,20 +2498,38 @@ def _finalize_attribution_groups(groups: dict[str, dict[str, object]]) -> list[A def _materialize_improvement_actions( actions: Iterable[AiQualityImprovementAction], runs: list[AiRunAudit], + *, + all_actions: Iterable[AiQualityImprovementAction] | None = None, ) -> list[AiQualityImprovementAction]: - return [_materialize_improvement_action(action, runs) for action in actions] + action_list = list(actions) + related_actions = list(all_actions) if all_actions is not None else action_list + return [ + _materialize_improvement_action(action, runs, all_actions=related_actions) + for action in action_list + ] def _materialize_improvement_action( action: AiQualityImprovementAction, runs: list[AiRunAudit], + *, + all_actions: Iterable[AiQualityImprovementAction] | None = None, ) -> AiQualityImprovementAction: current = _calculate_improvement_action_stats(action, runs) + post_change = ( + _calculate_improvement_action_stats(action, runs, since=action.resolved_at) + if action.resolved_at + else {"total_runs": 0, "affected_runs": 0, "pending_labels": 0, "quality_score": 0.0} + ) baseline_rate = _safe_rate(action.baseline_affected_runs, action.baseline_total_runs) current_rate = _safe_rate(current["affected_runs"], current["total_runs"]) affected_rate_delta = round(current_rate - baseline_rate, 4) pending_labels_delta = current["pending_labels"] - action.baseline_pending_labels quality_score_delta = round(current["quality_score"] - action.baseline_quality_score, 2) + post_change_rate = _safe_rate(post_change["affected_runs"], post_change["total_runs"]) + post_change_affected_rate_delta = round(post_change_rate - baseline_rate, 4) + post_change_pending_labels_delta = post_change["pending_labels"] - action.baseline_pending_labels + post_change_quality_score_delta = round(post_change["quality_score"] - action.baseline_quality_score, 2) effect_status, effect_summary = _summarize_improvement_effect( action, current_total_runs=current["total_runs"], @@ -2434,6 +2537,11 @@ def _materialize_improvement_action( affected_rate_delta=affected_rate_delta, pending_labels_delta=pending_labels_delta, quality_score_delta=quality_score_delta, + post_change_total_runs=post_change["total_runs"], + post_change_rate=post_change_rate, + post_change_affected_rate_delta=post_change_affected_rate_delta, + post_change_pending_labels_delta=post_change_pending_labels_delta, + post_change_quality_score_delta=post_change_quality_score_delta, ) return action.model_copy( update={ @@ -2441,9 +2549,19 @@ def _materialize_improvement_action( "current_affected_runs": current["affected_runs"], "current_pending_labels": current["pending_labels"], "current_quality_score": current["quality_score"], + "post_change_total_runs": post_change["total_runs"], + "post_change_affected_runs": post_change["affected_runs"], + "post_change_pending_labels": post_change["pending_labels"], + "post_change_quality_score": post_change["quality_score"], + "post_change_affected_rate": post_change_rate, + "post_change_observation_days": _post_change_observation_days(action), "affected_rate_delta": affected_rate_delta, "pending_labels_delta": pending_labels_delta, "quality_score_delta": quality_score_delta, + "post_change_affected_rate_delta": post_change_affected_rate_delta, + "post_change_pending_labels_delta": post_change_pending_labels_delta, + "post_change_quality_score_delta": post_change_quality_score_delta, + "related_change_actions_count": _count_related_change_actions(action, all_actions or ()), "effect_status": effect_status, "effect_summary": effect_summary, } @@ -2484,9 +2602,12 @@ def _filter_improvement_actions( def _calculate_improvement_action_stats( action: AiQualityImprovementActionCreate | AiQualityImprovementAction, runs: list[AiRunAudit], + *, + since: datetime | None = None, ) -> dict[str, int | float]: - cutoff = datetime.now(UTC) - timedelta(days=max(action.evaluation_days - 1, 0)) - cutoff = cutoff.replace(hour=0, minute=0, second=0, microsecond=0) + cutoff = _ensure_utc(since) if since else datetime.now(UTC) - timedelta(days=max(action.evaluation_days - 1, 0)) + if not since: + cutoff = cutoff.replace(hour=0, minute=0, second=0, microsecond=0) matched_runs: list[AiRunAudit] = [] affected_runs: set[str] = set() pending_labels = 0 @@ -2550,6 +2671,37 @@ def _has_source_issue(run: AiRunAudit) -> bool: return any(label.code in {"source_insufficient", "source_limited"} for label in run.quality_labels) +def _post_change_observation_days(action: AiQualityImprovementAction) -> int: + if not action.resolved_at: + return 0 + elapsed = datetime.now(UTC).date() - _ensure_utc(action.resolved_at).date() + return max(elapsed.days + 1, 1) + + +def _count_related_change_actions( + action: AiQualityImprovementAction, + actions: Iterable[AiQualityImprovementAction], +) -> int: + change_key = _quality_action_change_key(action) + if change_key is None: + return 0 + return sum(1 for candidate in actions if _quality_action_change_key(candidate) == change_key) + + +def _quality_action_change_key(action: AiQualityImprovementAction) -> tuple[str, str, str | None] | None: + if action.linked_prompt_template_id: + return ( + "prompt", + action.linked_prompt_template_id, + action.linked_prompt_template_version, + ) + if action.linked_import_batch_id: + return ("knowledge_import", action.linked_import_batch_id, None) + if action.linked_knowledge_base_id: + return ("knowledge_base", action.linked_knowledge_base_id, None) + return None + + def _safe_rate(numerator: int | float, denominator: int | float) -> float: return round(float(numerator) / float(denominator), 4) if denominator else 0.0 @@ -2562,26 +2714,50 @@ def _summarize_improvement_effect( affected_rate_delta: float, pending_labels_delta: int | float, quality_score_delta: float, + post_change_total_runs: int | float, + post_change_rate: float, + post_change_affected_rate_delta: float, + post_change_pending_labels_delta: int | float, + post_change_quality_score_delta: float, ) -> tuple[str, str]: baseline_rate = _safe_rate(action.baseline_affected_runs, action.baseline_total_runs) - if action.baseline_total_runs <= 0 or current_total_runs <= 0: + resolved = action.status in {"resolved", "false_positive", "closed"} + if action.baseline_total_runs <= 0: return "pending_data", "Need more AI run data to evaluate this improvement action." + if resolved and post_change_total_runs <= 0: + return ( + "pending_data", + "Need post-change AI run data after this action was resolved to evaluate effect.", + ) + if not resolved and current_total_runs <= 0: + return "pending_data", "Need more AI run data to evaluate this improvement action." + effective_rate_delta = post_change_affected_rate_delta if resolved else affected_rate_delta + effective_pending_delta = post_change_pending_labels_delta if resolved else pending_labels_delta + effective_quality_delta = post_change_quality_score_delta if resolved else quality_score_delta improved = ( - affected_rate_delta < -0.01 - or pending_labels_delta < 0 - or quality_score_delta > 1 + effective_rate_delta < -0.01 + or effective_pending_delta < 0 + or effective_quality_delta > 1 ) regressed = ( - affected_rate_delta > 0.01 - or pending_labels_delta > 0 - or quality_score_delta < -1 + effective_rate_delta > 0.01 + or effective_pending_delta > 0 + or effective_quality_delta < -1 ) status = "improved" if improved and not regressed else "regressed" if regressed and not improved else "unchanged" - summary = ( - f"Baseline affected rate {baseline_rate:.0%}, current {current_rate:.0%}; " - f"pending labels delta {pending_labels_delta:+.0f}; " - f"quality score delta {quality_score_delta:+.1f}." - ) + if resolved: + summary = ( + f"Baseline affected rate {baseline_rate:.0%}, post-change {post_change_rate:.0%} " + f"over {post_change_total_runs:.0f} run(s); " + f"pending labels delta {post_change_pending_labels_delta:+.0f}; " + f"quality score delta {post_change_quality_score_delta:+.1f}." + ) + else: + summary = ( + f"Baseline affected rate {baseline_rate:.0%}, current {current_rate:.0%}; " + f"pending labels delta {pending_labels_delta:+.0f}; " + f"quality score delta {quality_score_delta:+.1f}." + ) return status, summary diff --git a/yuqei-ai-platform/services/ai-platform-api/tests/test_platform_data.py b/yuqei-ai-platform/services/ai-platform-api/tests/test_platform_data.py index eafe9daa..2c1c37f1 100644 --- a/yuqei-ai-platform/services/ai-platform-api/tests/test_platform_data.py +++ b/yuqei-ai-platform/services/ai-platform-api/tests/test_platform_data.py @@ -1,3 +1,5 @@ +from datetime import UTC, datetime + import pytest from fastapi.testclient import TestClient @@ -450,6 +452,63 @@ def test_quality_improvement_action_resolve_api_returns_422_without_real_change( assert "linked_knowledge_base_id" in resolve_response.json()["detail"] +def test_quality_improvement_action_effect_review_uses_post_resolution_window() -> None: + repository = InMemoryAiPlatformRepository() + repository.seed_defaults() + repository.add_ai_run_audit( + AiRunAudit( + id="run-baseline", + operation="legal_qa", + provider="deepseek", + model="deepseek-chat", + prompt_template_id="legal_qa.default", + retrieved_sources=[], + quality_score=88, + quality_status="needs_review", + quality_labels=[], + created_at=datetime.now(UTC), + ) + ) + action = repository.create_quality_improvement_action( + AiQualityImprovementActionCreate( + dimension="prompt_template", + key="legal_qa.default", + label="legal_qa.default", + action_type="tune_prompt", + evaluation_days=7, + ) + ) + assert action.current_total_runs >= 1 + resolved = repository.update_quality_improvement_action( + action.id, + AiQualityImprovementActionUpdate( + status="resolved", + linked_prompt_template_id=action.linked_prompt_template_id, + linked_prompt_template_version=action.linked_prompt_template_version, + resolution_note="Prompt improved.", + ), + ) + repository.add_ai_run_audit( + AiRunAudit( + id="run-post-change", + operation="legal_qa", + provider="deepseek", + model="deepseek-chat", + prompt_template_id="legal_qa.default", + retrieved_sources=[], + quality_score=96, + quality_status="passed", + quality_labels=[], + created_at=resolved.resolved_at or datetime.now(UTC), + ) + ) + refreshed = repository.list_quality_improvement_actions(limit=5)[0] + assert refreshed.post_change_observation_days >= 1 + assert refreshed.post_change_total_runs >= 1 + assert refreshed.related_change_actions_count >= 1 + assert "post-change" in (refreshed.effect_summary or "") + + def test_knowledge_document_can_be_added_and_searched() -> None: client = make_client() diff --git a/yuqei-ai-sdk-python/src/yuqei_sdk/ai_platform.py b/yuqei-ai-sdk-python/src/yuqei_sdk/ai_platform.py index bbbddbba..4e67b3a6 100644 --- a/yuqei-ai-sdk-python/src/yuqei_sdk/ai_platform.py +++ b/yuqei-ai-sdk-python/src/yuqei_sdk/ai_platform.py @@ -375,9 +375,19 @@ class AiQualityImprovementAction(AiQualityImprovementActionCreate): current_affected_runs: int = 0 current_pending_labels: int = 0 current_quality_score: float = 0.0 + post_change_total_runs: int = 0 + post_change_affected_runs: int = 0 + post_change_pending_labels: int = 0 + post_change_quality_score: float = 0.0 + post_change_affected_rate: float = 0.0 + post_change_observation_days: int = 0 affected_rate_delta: float = 0.0 pending_labels_delta: int = 0 quality_score_delta: float = 0.0 + post_change_affected_rate_delta: float = 0.0 + post_change_pending_labels_delta: int = 0 + post_change_quality_score_delta: float = 0.0 + related_change_actions_count: int = 0 effect_status: str = "pending_data" effect_summary: str | None = None resolution_note: str | None = None diff --git a/yuqei-ai-sdk-python/tests/test_ai_platform.py b/yuqei-ai-sdk-python/tests/test_ai_platform.py index a7517e25..181d8fed 100644 --- a/yuqei-ai-sdk-python/tests/test_ai_platform.py +++ b/yuqei-ai-sdk-python/tests/test_ai_platform.py @@ -128,11 +128,21 @@ def test_ai_platform_client_covers_admin_data_endpoints() -> None: "current_affected_runs": 1, "current_pending_labels": 1, "current_quality_score": 90.0, + "post_change_total_runs": 2, + "post_change_affected_runs": 0, + "post_change_pending_labels": 0, + "post_change_quality_score": 98.0, + "post_change_affected_rate": 0.0, + "post_change_observation_days": 3, "affected_rate_delta": 0.0, "pending_labels_delta": 0, "quality_score_delta": 0.0, + "post_change_affected_rate_delta": -1.0, + "post_change_pending_labels_delta": -1, + "post_change_quality_score_delta": 8.0, + "related_change_actions_count": 2, "effect_status": "unchanged", - "effect_summary": "Baseline affected rate 100%, current 100%; pending labels delta +0; quality score delta +0.0.", + "effect_summary": "Baseline affected rate 100%, post-change 0% over 2 run(s); pending labels delta -1; quality score delta +8.0.", "resolution_note": resolution_note, "created_at": "2026-06-22T00:00:00Z", "updated_at": "2026-06-22T00:02:00Z", @@ -817,6 +827,8 @@ def test_ai_platform_client_covers_admin_data_endpoints() -> None: assert created_action.linked_import_batch_id == "kb-batch-1" assert created_action.baseline_affected_runs == 1 assert created_action.effect_status == "unchanged" + assert created_action.post_change_total_runs == 2 + assert created_action.related_change_actions_count == 2 listed_actions = client.list_quality_improvement_actions( status="open", owner="admin", @@ -837,6 +849,8 @@ def test_ai_platform_client_covers_admin_data_endpoints() -> None: ) assert updated_action.status == "resolved" assert updated_action.resolved_at == "2026-06-22T00:05:00Z" + assert updated_action.post_change_total_runs == 2 + assert updated_action.effect_summary and "post-change" in updated_action.effect_summary updated_audit = client.update_ai_run_quality_label( "run-1", "citation_present", diff --git a/yuqei-contract-platform/apps/contract-web/src/app/admin/ai-quality-dashboard/page.tsx b/yuqei-contract-platform/apps/contract-web/src/app/admin/ai-quality-dashboard/page.tsx index 2d417718..97212999 100644 --- a/yuqei-contract-platform/apps/contract-web/src/app/admin/ai-quality-dashboard/page.tsx +++ b/yuqei-contract-platform/apps/contract-web/src/app/admin/ai-quality-dashboard/page.tsx @@ -100,9 +100,19 @@ type QualityImprovementAction = { current_affected_runs: number; current_pending_labels: number; current_quality_score: number; + post_change_total_runs: number; + post_change_affected_runs: number; + post_change_pending_labels: number; + post_change_quality_score: number; + post_change_affected_rate: number; + post_change_observation_days: number; affected_rate_delta: number; pending_labels_delta: number; quality_score_delta: number; + post_change_affected_rate_delta: number; + post_change_pending_labels_delta: number; + post_change_quality_score_delta: number; + related_change_actions_count: number; effect_status?: string; effect_summary?: string | null; resolution_note?: string | null; @@ -774,6 +784,7 @@ function QualityActionItem({ const needsPromptDraft = action.action_type === "tune_prompt"; const needsKnowledgeImport = action.action_type === "improve_knowledge"; const completionBlockReason = getCompletionBlockReason(action); + const hasPostChange = action.post_change_total_runs > 0; return (
@@ -796,13 +807,29 @@ function QualityActionItem({ {action.description || action.root_cause_hint} )}
- 异常率 {formatPercent(baselineRate)} → {formatPercent(currentRate)} - 待处理 {action.baseline_pending_labels} → {action.current_pending_labels} - 质量分 {action.baseline_quality_score} → {action.current_quality_score} + 改前异常率 {formatPercent(baselineRate)} + 当前异常率 {formatPercent(currentRate)} + 完成后异常率 {hasPostChange ? formatPercent(action.post_change_affected_rate) : "待观察"} + 观察 {action.post_change_observation_days || action.evaluation_days} 天 + 改前待处理 {action.baseline_pending_labels} + 完成后待处理 {hasPostChange ? action.post_change_pending_labels : "待观察"} + 改前质量分 {action.baseline_quality_score} + 完成后质量分 {hasPostChange ? action.post_change_quality_score : "待观察"} 变化 {formatSignedPercent(action.affected_rate_delta)}
{action.resolution_note && 处理说明：{action.resolution_note}} +
+ 关联改进项 {action.related_change_actions_count} + {hasPostChange && ( + + 完成后变化：异常率 {formatSignedPercent(action.post_change_affected_rate_delta)} / 待处理{" "} + {action.post_change_pending_labels_delta >= 0 + ? `+${action.post_change_pending_labels_delta}` + : action.post_change_pending_labels_delta} / 质量分 {formatSignedPercent(action.post_change_quality_score_delta)} + + )} +
{action.effect_summary && 效果复盘：{action.effect_summary}} {["open", "in_progress"].includes(action.status) && (needsPromptDraft || needsKnowledgeImport) && (
diff --git a/yuqei-contract-platform/apps/contract-web/src/app/globals.css b/yuqei-contract-platform/apps/contract-web/src/app/globals.css index 3445118b..516ee36c 100644 --- a/yuqei-contract-platform/apps/contract-web/src/app/globals.css +++ b/yuqei-contract-platform/apps/contract-web/src/app/globals.css @@ -812,6 +812,12 @@ select { background: #f1f5f9; } +.quality-action-closure { + display: grid; + gap: 6px; + min-width: 0; +} + .quality-action-execution { display: grid; gap: 10px;