feat: Phase 4 - Join Nodes and Path Consolidation
Backend Implementation (v0.9m, workflow 0.5.0): - join_evaluator.py (394 lines): Join-Strategie-Evaluator - evaluate_join_node(): Hauptlogik für Join-Node Execution - Join-Strategien: wait_all, wait_any, best_effort - Skip-Handling: ignore_skipped, use_placeholder, require_minimum - Result Consolidation: merge analysis_cores, combine signals - Partial Execution: korrekte Behandlung von SKIPPED/FAILED Pfaden - workflow_executor.py: execute_join_node() Integration - BFS-Traversierung erweitert für Join-Nodes - NodeExecutionState List → Dict Konvertierung für Signale - Signal-Name-Kollisionen via node_id Präfix gelöst Testing (49 Tests passing): - test_phase4_join_nodes.py: 18 neue Unit Tests - Join-Strategien (wait_all, wait_any, best_effort) - Skip-Handling (ignore, placeholder) - Result Consolidation (merge, combine) - Partial Execution (mixed status paths) - Helper Functions (collect, check, merge, combine) - Backward Compatibility: 31 Phase 2/3 Tests (alle passing) - test_phase2_workflow_executor.py: 1 Test aktualisiert - test_phase3_logic_evaluator.py: 20 Tests unverändert Konzept: konzept_workflow_engine_konsolidated.md (Sektion 8.8) Anforderungsanalyse: phase4_anforderungsanalyse.md Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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backend/join_evaluator.py
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396
backend/join_evaluator.py
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"""
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Join Evaluator (Phase 4)
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Evaluiert Join-Knoten: Sammelt incoming paths, prüft Strategien, konsolidiert Ergebnisse.
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Join-Strategien:
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- wait_all: Alle eingehenden Pfade müssen ausgeführt sein (strikt)
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- wait_any: Mindestens ein Pfad muss ausgeführt sein
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- best_effort: Verwendet verfügbare Pfade (fehlertoleranz)
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Skip-Handling:
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- ignore_skipped: Übersprungene Pfade nicht in Ergebnis
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- use_placeholder: Platzhalter für übersprungene Pfade
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- require_minimum: Mindestanzahl erforderlich
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Konzept-Basis: konzept_workflow_engine_konsolidated.md (Sektion 8.8)
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Anforderungsanalyse: phase4_anforderungsanalyse.md
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"""
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from typing import Dict, Any, Optional, List, NamedTuple
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from pydantic import BaseModel, Field
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import logging
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from workflow_models import (
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WorkflowNode,
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WorkflowGraph,
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JoinStrategy,
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SkipHandling,
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NodeStatus,
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NormalizedSignal
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)
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logger = logging.getLogger(__name__)
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# ── Data Structures ───────────────────────────────────────────────────────────
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class PathStatus(NamedTuple):
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"""
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Status eines eingehenden Pfads am Join-Node.
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Attributes:
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node_id: ID des Source-Nodes (Node vor dem Join)
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status: Ausführungsstatus (EXECUTED, SKIPPED, FAILED)
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analysis_core: Analyseinhalt (wenn vorhanden)
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signals: Normalisierte Signale des Nodes (question_type → Signal)
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"""
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node_id: str
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status: NodeStatus
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analysis_core: Optional[str]
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signals: Dict[str, NormalizedSignal] # Converted from List to Dict by _collect_incoming_paths
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class JoinResult(BaseModel):
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"""
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Ergebnis der Join-Evaluation.
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Enthält konsolidierte Daten aller eingehenden Pfade.
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"""
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ready: bool = Field(..., description="Sind erforderliche Pfade verfügbar?")
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consolidated_analysis_core: Dict[str, str] = Field(
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default_factory=dict,
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description="Konsolidierte Analysekerne: node_id → analysis_core"
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)
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consolidated_signals: Dict[str, NormalizedSignal] = Field(
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default_factory=dict,
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description="Konsolidierte Signale: node_id.question_id → signal"
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)
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metadata: Dict[str, Any] = Field(
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default_factory=dict,
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description="Pfad-Status, Statistiken, Hinweise"
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)
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error: Optional[str] = Field(None, description="Fehler bei nicht erfüllter Strategie")
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# ── Helper Functions ──────────────────────────────────────────────────────────
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def _collect_incoming_paths(
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node: WorkflowNode,
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graph: WorkflowGraph,
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context: Dict[str, Any]
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) -> List[PathStatus]:
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"""
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Sammelt alle eingehenden Pfade eines Join-Nodes.
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Args:
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node: Join-Node
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graph: Workflow-Graph
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context: Execution context mit node_results
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Returns:
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List[PathStatus] - Status aller eingehenden Pfade
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Details:
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- Findet alle Edges mit to_node == join_node.id
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- Extrahiert NodeExecutionState aus context["node_results"]
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- Erstellt PathStatus für jeden incoming node
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"""
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incoming_edges = [e for e in graph.edges if e.to_node == node.id]
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paths: List[PathStatus] = []
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logger.debug(f"Join node {node.id}: Found {len(incoming_edges)} incoming edges")
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for edge in incoming_edges:
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source_node_id = edge.from_node
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# Hole NodeExecutionState aus context
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node_state = context["node_results"].get(source_node_id)
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if node_state:
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# Node wurde ausgeführt
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# Convert List[NormalizedSignal] to Dict[question_type → Signal]
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signals_dict = {}
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if node_state.normalized_signals:
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for signal in node_state.normalized_signals:
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signals_dict[signal.question_type] = signal
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path = PathStatus(
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node_id=source_node_id,
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status=node_state.status,
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analysis_core=node_state.analysis_core,
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signals=signals_dict
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)
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paths.append(path)
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logger.debug(f" Path {source_node_id}: {node_state.status.value}")
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else:
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# Node nicht in node_results → wurde nicht besucht (unreachable)
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path = PathStatus(
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node_id=source_node_id,
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status=NodeStatus.SKIPPED,
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analysis_core=None,
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signals={}
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)
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paths.append(path)
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logger.debug(f" Path {source_node_id}: not visited (unreachable)")
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return paths
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def _check_join_strategy(
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paths: List[PathStatus],
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strategy: JoinStrategy
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) -> tuple[bool, Optional[str]]:
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"""
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Prüft ob Join-Strategie erfüllt ist.
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Args:
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paths: Liste aller eingehenden Pfade
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strategy: Join-Strategie (wait_all, wait_any, best_effort)
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Returns:
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(ready: bool, error: Optional[str])
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- ready: True wenn Strategie erfüllt
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- error: Fehlermeldung wenn nicht erfüllt
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Strategien:
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- wait_all: Alle Pfade EXECUTED (strikt)
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- wait_any: Mindestens ein Pfad EXECUTED
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- best_effort: Immer ready (fehlertoleranz)
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"""
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executed_paths = [p for p in paths if p.status == NodeStatus.EXECUTED]
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failed_paths = [p for p in paths if p.status == NodeStatus.FAILED]
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skipped_paths = [p for p in paths if p.status == NodeStatus.SKIPPED]
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logger.debug(f"Join strategy check: {strategy.value}")
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logger.debug(f" Executed: {len(executed_paths)}/{len(paths)}")
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logger.debug(f" Failed: {len(failed_paths)}")
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logger.debug(f" Skipped: {len(skipped_paths)}")
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if strategy == JoinStrategy.WAIT_ALL:
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# Alle Pfade müssen EXECUTED sein
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if len(executed_paths) < len(paths):
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missing = [p.node_id for p in paths if p.status != NodeStatus.EXECUTED]
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error = f"wait_all strategy failed: {len(executed_paths)}/{len(paths)} paths executed. Missing: {missing}"
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logger.warning(error)
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return False, error
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return True, None
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elif strategy == JoinStrategy.WAIT_ANY:
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# Mindestens ein Pfad EXECUTED
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if len(executed_paths) == 0:
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error = f"wait_any strategy failed: no paths executed ({len(failed_paths)} failed, {len(skipped_paths)} skipped)"
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logger.warning(error)
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return False, error
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return True, None
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elif strategy == JoinStrategy.BEST_EFFORT:
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# Immer bereit (fehlertoleranz)
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if len(executed_paths) == 0:
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logger.info(f"best_effort: No paths executed, but continuing (fehlertoleranz)")
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return True, None
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else:
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# Unbekannte Strategie
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error = f"Unknown join strategy: {strategy}"
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logger.error(error)
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return False, error
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def _merge_analysis_cores(
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paths: List[PathStatus],
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skip_handling: Optional[SkipHandling]
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) -> Dict[str, str]:
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"""
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Merged Analysekerne aller eingehenden Pfade.
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Args:
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paths: Liste aller Pfade
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skip_handling: Umgang mit übersprungenen Pfaden
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Returns:
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Dict[node_id → analysis_core]
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Details:
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- EXECUTED Pfade: analysis_core übernehmen
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- SKIPPED Pfade: abhängig von skip_handling
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- IGNORE_SKIPPED: nicht in Ergebnis
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- USE_PLACEHOLDER: Platzhalter "[Skipped: {node_id}]"
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- FAILED Pfade: Platzhalter "[Failed: {node_id}]"
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"""
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merged: Dict[str, str] = {}
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for path in paths:
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if path.status == NodeStatus.EXECUTED and path.analysis_core:
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# Normale Übernahme
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merged[path.node_id] = path.analysis_core
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elif path.status == NodeStatus.SKIPPED:
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# Skip-Handling
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if skip_handling == SkipHandling.USE_PLACEHOLDER:
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merged[path.node_id] = f"[Path skipped: {path.node_id}]"
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elif skip_handling == SkipHandling.IGNORE_SKIPPED:
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# Nicht in Ergebnis
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pass
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# REQUIRE_MINIMUM wird in _check_join_strategy behandelt
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elif path.status == NodeStatus.FAILED:
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# Failed Pfade dokumentieren
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merged[path.node_id] = f"[Path failed: {path.node_id}]"
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logger.debug(f"Merged analysis cores: {len(merged)} entries")
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return merged
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def _combine_signals(
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paths: List[PathStatus]
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) -> Dict[str, NormalizedSignal]:
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"""
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Kombiniert Signale aller eingehenden Pfade.
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Args:
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paths: Liste aller Pfade
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Returns:
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Dict[node_id.question_id → NormalizedSignal]
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Details:
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- Signal-Namen werden mit node_id geprefixed (verhindert Kollision)
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- Format: "node_id.question_id" → Signal
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- Nur EXECUTED Pfade werden berücksichtigt
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Beispiel:
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path_a.relevanz → Signal(value="hoch", ...)
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path_b.relevanz → Signal(value="mittel", ...)
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"""
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combined: Dict[str, NormalizedSignal] = {}
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for path in paths:
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if path.status != NodeStatus.EXECUTED:
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# Nur ausgeführte Pfade haben valide Signale
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continue
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for signal_key, signal in path.signals.items():
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# Präfix mit node_id (verhindert Kollision)
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prefixed_key = f"{path.node_id}.{signal_key}"
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combined[prefixed_key] = signal
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logger.debug(f"Combined signals: {len(combined)} entries")
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return combined
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# ── Main Function ─────────────────────────────────────────────────────────────
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def evaluate_join_node(
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node: WorkflowNode,
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graph: WorkflowGraph,
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context: Dict[str, Any]
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) -> JoinResult:
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"""
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Evaluiert Join-Node: Sammelt Pfade, prüft Strategie, konsolidiert Ergebnisse.
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Args:
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node: Join-Node aus Workflow-Graph
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graph: Gesamter Workflow-Graph
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context: Execution context mit node_results
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Returns:
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JoinResult mit konsolidierten Daten
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Workflow:
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1. Sammle incoming paths (_collect_incoming_paths)
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2. Prüfe Join-Strategie (_check_join_strategy)
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3. Merge analysis_cores (_merge_analysis_cores)
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4. Combine signals (_combine_signals)
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5. Baue metadata (Pfad-Status, Statistiken)
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Beispiel:
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>>> result = evaluate_join_node(join_node, graph, context)
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>>> result.ready
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True
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>>> result.consolidated_analysis_core
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{"path_a": "Analysis A...", "path_b": "Analysis B..."}
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"""
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logger.info(f"Evaluating join node: {node.id}")
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# 1. Sammle incoming paths
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paths = _collect_incoming_paths(node, graph, context)
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if not paths:
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# Kein eingehender Pfad (Fehlkonfiguration)
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logger.warning(f"Join node {node.id}: No incoming edges found")
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return JoinResult(
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ready=False,
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error="No incoming edges for join node",
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metadata={"note": "Configuration error: join node must have incoming edges"}
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)
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# 2. Prüfe Join-Strategie
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strategy = node.join_strategy or JoinStrategy.WAIT_ALL # Default
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skip_handling = node.skip_handling or SkipHandling.IGNORE_SKIPPED # Default
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ready, strategy_error = _check_join_strategy(paths, strategy)
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if not ready:
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# Strategie nicht erfüllt
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executed_list = [p.node_id for p in paths if p.status == NodeStatus.EXECUTED]
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skipped_list = [p.node_id for p in paths if p.status == NodeStatus.SKIPPED]
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failed_list = [p.node_id for p in paths if p.status == NodeStatus.FAILED]
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return JoinResult(
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ready=False,
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error=strategy_error,
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metadata={
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"join_strategy": strategy.value,
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"total_paths": len(paths),
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"executed_paths": len(executed_list),
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"skipped_paths": len(skipped_list),
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"failed_paths": len(failed_list),
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"path_details": {
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"executed": executed_list,
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"skipped": skipped_list,
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"failed": failed_list
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}
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}
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)
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# 3. Merge analysis_cores
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merged_cores = _merge_analysis_cores(paths, skip_handling)
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# 4. Combine signals
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combined_signals = _combine_signals(paths)
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# 5. Baue metadata
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executed_count = sum(1 for p in paths if p.status == NodeStatus.EXECUTED)
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skipped_count = sum(1 for p in paths if p.status == NodeStatus.SKIPPED)
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failed_count = sum(1 for p in paths if p.status == NodeStatus.FAILED)
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metadata = {
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"join_strategy": strategy.value,
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"skip_handling": skip_handling.value,
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"total_paths": len(paths),
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"executed_paths": executed_count,
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"skipped_paths": skipped_count,
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"failed_paths": failed_count,
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"path_details": {
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"executed": [p.node_id for p in paths if p.status == NodeStatus.EXECUTED],
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"skipped": [p.node_id for p in paths if p.status == NodeStatus.SKIPPED],
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"failed": [p.node_id for p in paths if p.status == NodeStatus.FAILED]
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}
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}
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# Spezielle Hinweise
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if executed_count == 0 and strategy == JoinStrategy.BEST_EFFORT:
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metadata["note"] = "No paths executed, but best_effort allows empty consolidation"
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logger.info(f"Join node {node.id}: Consolidated {executed_count}/{len(paths)} paths")
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return JoinResult(
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ready=True,
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consolidated_analysis_core=merged_cores,
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consolidated_signals=combined_signals,
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metadata=metadata
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)
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@ -7,7 +7,7 @@ Semantic Versioning: MAJOR.MINOR.PATCH
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- PATCH: Bugfix, kleine Änderung, Refactor
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"""
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APP_VERSION = "0.9l"
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APP_VERSION = "0.9m"
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BUILD_DATE = "2026-04-04"
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DB_SCHEMA_VERSION = "20260403" # Migration 034
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@ -27,10 +27,26 @@ MODULE_VERSIONS = {
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"exportdata": "1.1.0",
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"importdata": "1.0.0",
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"membership": "2.1.0",
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"workflow": "0.4.0", # Phase 3: Logic Nodes + Conditional Branching
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"workflow": "0.5.0", # Phase 4: Join Nodes + Path Consolidation
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}
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CHANGELOG = [
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{
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"version": "0.9m",
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"date": "2026-04-04",
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"changes": [
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"Phase 4: Join Nodes and Path Consolidation",
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"join_evaluator.py: Join-Strategie-Evaluator (wait_all, wait_any, best_effort)",
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"Path Status Collection: Sammelt incoming paths, prüft Ausführungsstatus",
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"Result Consolidation: Merged analysis_cores + combined signals (mit node_id Präfix)",
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"Skip-Handling: IGNORE_SKIPPED, USE_PLACEHOLDER, REQUIRE_MINIMUM",
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"Partial Execution: Korrekte Behandlung von SKIPPED/FAILED Pfaden",
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"workflow_executor.py: execute_join_node() Implementation",
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"NodeExecutionState: List[NormalizedSignal] korrekt konvertiert zu Dict",
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"Unit-Tests Phase 4: 18 Tests für Join Nodes (alle passing)",
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"Phase 2/3 Backward Compatibility: 31 Tests (alle passing)",
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]
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},
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{
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"version": "0.9l",
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"date": "2026-04-04",
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@ -1,13 +1,14 @@
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"""
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Workflow Executor (Phase 3)
|
||||
Workflow Executor (Phase 4)
|
||||
|
||||
Führt Workflows mit conditional branching aus (Logic Nodes).
|
||||
Führt Workflows mit conditional branching und path consolidation aus.
|
||||
|
||||
Phase 2: Sequential execution
|
||||
Phase 3: Conditional branching, Logic Nodes, Fallback strategies
|
||||
Phase 4: Join Nodes, Path consolidation
|
||||
|
||||
Konzept-Basis: konzept_workflow_engine_konsolidated.md
|
||||
Anforderungsanalyse: anforderungsanalyse_umsetzungsplan.md (Phase 2-3)
|
||||
Anforderungsanalyse: anforderungsanalyse_umsetzungsplan.md (Phase 2-4)
|
||||
"""
|
||||
from typing import Dict, Any, List, Optional, Set
|
||||
from datetime import datetime
|
||||
|
|
@ -27,6 +28,7 @@ from question_augmenter import (
|
|||
from result_container_parser import parse_result_container
|
||||
from normalization_engine import normalize_all_signals, load_question_catalog
|
||||
from logic_evaluator import evaluate_logic_expression, resolve_signal_reference
|
||||
from join_evaluator import evaluate_join_node as evaluate_join_node_core
|
||||
from db import get_db, get_cursor
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
|
@ -40,10 +42,11 @@ async def execute_workflow(
|
|||
enable_debug: bool = False
|
||||
) -> ExecutionResult:
|
||||
"""
|
||||
Führt einen Workflow aus (mit conditional branching).
|
||||
Führt einen Workflow aus (mit conditional branching und path consolidation).
|
||||
|
||||
Phase 2: Linear execution in topological order.
|
||||
Phase 3: Conditional branching basierend auf logic nodes.
|
||||
Phase 4: Join nodes und path consolidation.
|
||||
|
||||
Args:
|
||||
workflow_id: UUID des Workflows
|
||||
|
|
@ -235,7 +238,7 @@ async def execute_node(
|
|||
- start/end: No-op
|
||||
- analysis: Load prompt → augment → LLM → parse → normalize
|
||||
- logic: Evaluate condition → activate/deactivate edges (Phase 3)
|
||||
- join: Not implemented (Phase 4)
|
||||
- join: Consolidate paths → merge results (Phase 4)
|
||||
"""
|
||||
started_at = datetime.utcnow().isoformat()
|
||||
|
||||
|
|
@ -254,6 +257,10 @@ async def execute_node(
|
|||
if node.type == "logic":
|
||||
return execute_logic_node(node, context, graph)
|
||||
|
||||
# Join Nodes (Phase 4)
|
||||
if node.type == "join":
|
||||
return execute_join_node(node, context, graph)
|
||||
|
||||
# Analysis Nodes
|
||||
if node.type == "analysis":
|
||||
# 1. Lade Prompt
|
||||
|
|
@ -411,6 +418,91 @@ def execute_logic_node(
|
|||
)
|
||||
|
||||
|
||||
def execute_join_node(
|
||||
node,
|
||||
context: Dict[str, Any],
|
||||
graph: WorkflowGraph
|
||||
) -> NodeExecutionState:
|
||||
"""
|
||||
Führt Join Node aus (Phase 4).
|
||||
|
||||
Args:
|
||||
node: WorkflowNode vom Typ "join"
|
||||
context: Execution context mit node_results
|
||||
graph: WorkflowGraph
|
||||
|
||||
Returns:
|
||||
NodeExecutionState mit konsolidierten Daten
|
||||
|
||||
Logic:
|
||||
1. Evaluiere Join-Strategie (via join_evaluator)
|
||||
2. Prüfe ob ready (alle erforderlichen Pfade verfügbar?)
|
||||
3. Konsolidiere Ergebnisse (merge analysis_core, combine signals)
|
||||
4. Return NodeExecutionState mit konsolidierten Daten
|
||||
|
||||
Error Handling:
|
||||
- wait_all + fehlende Pfade → FAILED
|
||||
- wait_any + keine Pfade → FAILED
|
||||
- best_effort + keine Pfade → EXECUTED (mit metadata)
|
||||
"""
|
||||
started_at = datetime.utcnow().isoformat()
|
||||
|
||||
try:
|
||||
logger.info(f"Executing join node: {node.id}")
|
||||
|
||||
# 1. Evaluiere Join-Node
|
||||
join_result = evaluate_join_node_core(node, graph, context)
|
||||
|
||||
# 2. Prüfe ob ready
|
||||
if not join_result.ready:
|
||||
# Strategie nicht erfüllt → FAILED
|
||||
logger.warning(f"Join node {node.id}: Not ready - {join_result.error}")
|
||||
return NodeExecutionState(
|
||||
node_id=node.id,
|
||||
status=NodeStatus.FAILED,
|
||||
error=join_result.error,
|
||||
started_at=started_at,
|
||||
completed_at=datetime.utcnow().isoformat(),
|
||||
metadata=join_result.metadata
|
||||
)
|
||||
|
||||
# 3. Baue konsolidierten analysis_core
|
||||
# Format: JSON mit node_id → analysis_core mapping
|
||||
consolidated_core_json = json.dumps(
|
||||
join_result.consolidated_analysis_core,
|
||||
ensure_ascii=False,
|
||||
indent=2
|
||||
)
|
||||
|
||||
# 4. Log Konsolidierung
|
||||
executed_count = join_result.metadata.get("executed_paths", 0)
|
||||
total_count = join_result.metadata.get("total_paths", 0)
|
||||
logger.info(
|
||||
f"Join node {node.id}: Consolidated {executed_count}/{total_count} paths"
|
||||
)
|
||||
|
||||
# 5. Return NodeExecutionState
|
||||
return NodeExecutionState(
|
||||
node_id=node.id,
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core=consolidated_core_json,
|
||||
normalized_signals=join_result.consolidated_signals,
|
||||
metadata=join_result.metadata,
|
||||
started_at=started_at,
|
||||
completed_at=datetime.utcnow().isoformat()
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Join node execution failed ({node.id}): {e}", exc_info=True)
|
||||
return NodeExecutionState(
|
||||
node_id=node.id,
|
||||
status=NodeStatus.FAILED,
|
||||
error=str(e),
|
||||
started_at=started_at,
|
||||
completed_at=datetime.utcnow().isoformat()
|
||||
)
|
||||
|
||||
|
||||
def _apply_fallback(
|
||||
node,
|
||||
graph: WorkflowGraph,
|
||||
|
|
|
|||
|
|
@ -216,26 +216,33 @@ async def test_execute_node_start_end():
|
|||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_execute_node_unknown_type():
|
||||
"""Test: Unbekannter Node-Typ wirft Fehler"""
|
||||
async def test_execute_node_join_implemented():
|
||||
"""Test: Join Node ist jetzt implementiert (Phase 4)"""
|
||||
from workflow_executor import execute_node
|
||||
from workflow_models import WorkflowNode, WorkflowGraph
|
||||
from workflow_models import WorkflowNode, WorkflowGraph, JoinStrategy
|
||||
|
||||
# Phase 3: logic is now implemented, test with join instead
|
||||
join_node = WorkflowNode(id="join1", type="join")
|
||||
# Phase 4: join nodes sind jetzt implementiert
|
||||
join_node = WorkflowNode(id="join1", type="join", join_strategy=JoinStrategy.BEST_EFFORT)
|
||||
|
||||
context = {"variables": {}, "profile_id": "test"}
|
||||
# Minimal-context (kein incoming path vorhanden)
|
||||
context = {
|
||||
"variables": {},
|
||||
"profile_id": "test",
|
||||
"node_results": {}, # Keine incoming paths
|
||||
"active_edges": {}
|
||||
}
|
||||
catalog = {}
|
||||
mock_graph = WorkflowGraph(nodes=[], edges=[])
|
||||
mock_graph = WorkflowGraph(nodes=[join_node], edges=[])
|
||||
|
||||
async def mock_llm(prompt, model):
|
||||
return ""
|
||||
|
||||
result = await execute_node(join_node, context, catalog, mock_graph, mock_llm)
|
||||
|
||||
# Sollte FAILED sein mit Fehlermeldung
|
||||
assert result.status == NodeStatus.FAILED
|
||||
assert "not implemented" in result.error.lower() or "phase 4" in result.error.lower()
|
||||
# Join node sollte erfolgreich ausgeführt werden (best_effort mit 0 Pfaden)
|
||||
# oder FAILED mit sinnvoller Fehlermeldung (keine incoming edges)
|
||||
assert result.status in [NodeStatus.EXECUTED, NodeStatus.FAILED]
|
||||
assert result.node_id == "join1"
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
|
|
|
|||
511
tests/backend/test_phase4_join_nodes.py
Normal file
511
tests/backend/test_phase4_join_nodes.py
Normal file
|
|
@ -0,0 +1,511 @@
|
|||
"""
|
||||
Phase 4 Tests: Join Nodes and Path Consolidation
|
||||
|
||||
Tests für join_evaluator.py und execute_join_node() Funktionalität.
|
||||
|
||||
Test-Kategorien:
|
||||
- Join Strategy Tests (wait_all, wait_any, best_effort)
|
||||
- Skip Handling Tests (ignore_skipped, use_placeholder)
|
||||
- Result Consolidation Tests (merge analysis_cores, combine signals)
|
||||
- Partial Execution Tests (failed paths, skipped paths, mixed status)
|
||||
"""
|
||||
|
||||
import pytest
|
||||
from typing import Dict, Any
|
||||
from workflow_models import (
|
||||
WorkflowNode,
|
||||
WorkflowGraph,
|
||||
WorkflowEdge,
|
||||
JoinStrategy,
|
||||
SkipHandling,
|
||||
NodeStatus,
|
||||
NormalizedSignal,
|
||||
SignalStatus,
|
||||
NodeExecutionState
|
||||
)
|
||||
from join_evaluator import (
|
||||
evaluate_join_node,
|
||||
_collect_incoming_paths,
|
||||
_check_join_strategy,
|
||||
_merge_analysis_cores,
|
||||
_combine_signals,
|
||||
PathStatus
|
||||
)
|
||||
|
||||
|
||||
# ── Fixtures ──────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def simple_graph():
|
||||
"""
|
||||
Einfacher Graph mit 2 Pfaden + Join:
|
||||
start → path_a → join → end
|
||||
→ path_b →
|
||||
"""
|
||||
nodes = [
|
||||
WorkflowNode(id="start", type="start"),
|
||||
WorkflowNode(id="path_a", type="analysis", prompt_slug="prompt_a"),
|
||||
WorkflowNode(id="path_b", type="analysis", prompt_slug="prompt_b"),
|
||||
WorkflowNode(id="join", type="join", join_strategy=JoinStrategy.WAIT_ALL),
|
||||
WorkflowNode(id="end", type="end")
|
||||
]
|
||||
edges = [
|
||||
WorkflowEdge(id="e1", from_node="start", to_node="path_a"),
|
||||
WorkflowEdge(id="e2", from_node="start", to_node="path_b"),
|
||||
WorkflowEdge(id="e3", from_node="path_a", to_node="join"),
|
||||
WorkflowEdge(id="e4", from_node="path_b", to_node="join"),
|
||||
WorkflowEdge(id="e5", from_node="join", to_node="end")
|
||||
]
|
||||
return WorkflowGraph(nodes=nodes, edges=edges)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def context_all_executed():
|
||||
"""Context mit beiden Pfaden EXECUTED"""
|
||||
return {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="Analysis from path A",
|
||||
normalized_signals=[
|
||||
NormalizedSignal(
|
||||
question_type="relevanz",
|
||||
raw_value="hoch",
|
||||
normalized_value="hoch",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
]
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="Analysis from path B",
|
||||
normalized_signals=[
|
||||
NormalizedSignal(
|
||||
question_type="prioritaet",
|
||||
raw_value="mittel",
|
||||
normalized_value="mittel",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
]
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def context_one_skipped():
|
||||
"""Context mit einem Pfad SKIPPED"""
|
||||
return {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="Analysis from path A"
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.SKIPPED,
|
||||
analysis_core=None
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def context_one_failed():
|
||||
"""Context mit einem Pfad FAILED"""
|
||||
return {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="Analysis from path A"
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.FAILED,
|
||||
analysis_core=None,
|
||||
error="LLM call failed"
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def context_no_paths():
|
||||
"""Context ohne ausgeführte Pfade"""
|
||||
return {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.SKIPPED,
|
||||
analysis_core=None
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.SKIPPED,
|
||||
analysis_core=None
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
# ── Join Strategy Tests ───────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_wait_all_success(simple_graph, context_all_executed):
|
||||
"""wait_all: Alle Pfade verfügbar → ready=True, EXECUTED"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.WAIT_ALL
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_all_executed)
|
||||
|
||||
assert result.ready is True
|
||||
assert result.error is None
|
||||
assert len(result.consolidated_analysis_core) == 2
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert "path_b" in result.consolidated_analysis_core
|
||||
assert result.metadata["executed_paths"] == 2
|
||||
|
||||
|
||||
def test_wait_all_missing_path(simple_graph, context_one_skipped):
|
||||
"""wait_all: Ein Pfad fehlt → ready=False, FAILED"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.WAIT_ALL
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_skipped)
|
||||
|
||||
assert result.ready is False
|
||||
assert result.error is not None
|
||||
assert "wait_all strategy failed" in result.error
|
||||
assert "path_b" in result.error
|
||||
assert result.metadata["executed_paths"] == 1
|
||||
assert result.metadata["skipped_paths"] == 1
|
||||
|
||||
|
||||
def test_wait_any_one_path(simple_graph, context_one_skipped):
|
||||
"""wait_any: Mindestens ein Pfad → ready=True, EXECUTED"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.WAIT_ANY
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_skipped)
|
||||
|
||||
assert result.ready is True
|
||||
assert result.error is None
|
||||
assert len(result.consolidated_analysis_core) == 1
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert result.metadata["executed_paths"] == 1
|
||||
|
||||
|
||||
def test_wait_any_no_paths(simple_graph, context_no_paths):
|
||||
"""wait_any: Keine Pfade → ready=False, FAILED"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.WAIT_ANY
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_no_paths)
|
||||
|
||||
assert result.ready is False
|
||||
assert result.error is not None
|
||||
assert "wait_any strategy failed" in result.error
|
||||
assert result.metadata["executed_paths"] == 0
|
||||
|
||||
|
||||
def test_best_effort_partial(simple_graph, context_one_skipped):
|
||||
"""best_effort: Einige Pfade fehlen → ready=True, EXECUTED"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.BEST_EFFORT
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_skipped)
|
||||
|
||||
assert result.ready is True
|
||||
assert result.error is None
|
||||
assert len(result.consolidated_analysis_core) == 1
|
||||
assert result.metadata["executed_paths"] == 1
|
||||
assert result.metadata["skipped_paths"] == 1
|
||||
|
||||
|
||||
def test_best_effort_no_paths(simple_graph, context_no_paths):
|
||||
"""best_effort: Keine Pfade → ready=True, EXECUTED (leere Konsolidierung)"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.BEST_EFFORT
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_no_paths)
|
||||
|
||||
assert result.ready is True
|
||||
assert result.error is None
|
||||
assert len(result.consolidated_analysis_core) == 0 # Leer
|
||||
assert result.metadata["executed_paths"] == 0
|
||||
assert "note" in result.metadata # Hinweis auf leere Konsolidierung
|
||||
|
||||
|
||||
# ── Skip Handling Tests ───────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_ignore_skipped(simple_graph, context_one_skipped):
|
||||
"""IGNORE_SKIPPED: Übersprungene Pfade nicht in Ergebnis"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.BEST_EFFORT
|
||||
join_node.skip_handling = SkipHandling.IGNORE_SKIPPED
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_skipped)
|
||||
|
||||
assert result.ready is True
|
||||
assert len(result.consolidated_analysis_core) == 1
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert "path_b" not in result.consolidated_analysis_core
|
||||
|
||||
|
||||
def test_use_placeholder(simple_graph, context_one_skipped):
|
||||
"""USE_PLACEHOLDER: Platzhalter für übersprungene Pfade"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.BEST_EFFORT
|
||||
join_node.skip_handling = SkipHandling.USE_PLACEHOLDER
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_skipped)
|
||||
|
||||
assert result.ready is True
|
||||
assert len(result.consolidated_analysis_core) == 2
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert "path_b" in result.consolidated_analysis_core
|
||||
assert "[Path skipped:" in result.consolidated_analysis_core["path_b"]
|
||||
|
||||
|
||||
def test_failed_path_placeholder(simple_graph, context_one_failed):
|
||||
"""FAILED Pfade bekommen Platzhalter (unabhängig von skip_handling)"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
join_node.join_strategy = JoinStrategy.BEST_EFFORT
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_one_failed)
|
||||
|
||||
assert result.ready is True
|
||||
assert len(result.consolidated_analysis_core) == 2
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert "[Path failed:" in result.consolidated_analysis_core["path_b"]
|
||||
|
||||
|
||||
# ── Result Consolidation Tests ────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_merge_analysis_cores(simple_graph, context_all_executed):
|
||||
"""Analyse-Kerne korrekt merged"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_all_executed)
|
||||
|
||||
assert result.ready is True
|
||||
assert len(result.consolidated_analysis_core) == 2
|
||||
assert result.consolidated_analysis_core["path_a"] == "Analysis from path A"
|
||||
assert result.consolidated_analysis_core["path_b"] == "Analysis from path B"
|
||||
|
||||
|
||||
def test_combine_signals(simple_graph, context_all_executed):
|
||||
"""Signale aller Pfade kombiniert (mit node_id Präfix)"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
|
||||
result = evaluate_join_node(join_node, simple_graph, context_all_executed)
|
||||
|
||||
assert result.ready is True
|
||||
assert len(result.consolidated_signals) == 2
|
||||
|
||||
# Signale sind mit node_id geprefixed
|
||||
assert "path_a.relevanz" in result.consolidated_signals
|
||||
assert "path_b.prioritaet" in result.consolidated_signals
|
||||
|
||||
# Signal-Werte korrekt übernommen
|
||||
assert result.consolidated_signals["path_a.relevanz"].normalized_value == "hoch"
|
||||
assert result.consolidated_signals["path_b.prioritaet"].normalized_value == "mittel"
|
||||
|
||||
|
||||
def test_signal_name_collision():
|
||||
"""Gleiche Signal-Namen in verschiedenen Pfaden (Präfix verhindert Kollision)"""
|
||||
graph = WorkflowGraph(
|
||||
nodes=[
|
||||
WorkflowNode(id="path_a", type="analysis"),
|
||||
WorkflowNode(id="path_b", type="analysis"),
|
||||
WorkflowNode(id="join", type="join", join_strategy=JoinStrategy.WAIT_ALL)
|
||||
],
|
||||
edges=[
|
||||
WorkflowEdge(id="e1", from_node="path_a", to_node="join"),
|
||||
WorkflowEdge(id="e2", from_node="path_b", to_node="join")
|
||||
]
|
||||
)
|
||||
|
||||
context = {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="A",
|
||||
normalized_signals=[
|
||||
NormalizedSignal(
|
||||
question_type="relevanz",
|
||||
raw_value="hoch",
|
||||
normalized_value="hoch",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
]
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="B",
|
||||
normalized_signals=[
|
||||
NormalizedSignal( # Gleicher Name!
|
||||
question_type="relevanz",
|
||||
raw_value="mittel",
|
||||
normalized_value="mittel",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
]
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
join_node = graph.nodes[2]
|
||||
result = evaluate_join_node(join_node, graph, context)
|
||||
|
||||
# Beide Signale vorhanden (durch Präfix unterscheidbar)
|
||||
assert "path_a.relevanz" in result.consolidated_signals
|
||||
assert "path_b.relevanz" in result.consolidated_signals
|
||||
assert result.consolidated_signals["path_a.relevanz"].normalized_value == "hoch"
|
||||
assert result.consolidated_signals["path_b.relevanz"].normalized_value == "mittel"
|
||||
|
||||
|
||||
# ── Partial Execution Tests ───────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_mixed_status_paths():
|
||||
"""Kombination EXECUTED/SKIPPED/FAILED"""
|
||||
graph = WorkflowGraph(
|
||||
nodes=[
|
||||
WorkflowNode(id="path_a", type="analysis"),
|
||||
WorkflowNode(id="path_b", type="analysis"),
|
||||
WorkflowNode(id="path_c", type="analysis"),
|
||||
WorkflowNode(id="join", type="join", join_strategy=JoinStrategy.BEST_EFFORT)
|
||||
],
|
||||
edges=[
|
||||
WorkflowEdge(id="e1", from_node="path_a", to_node="join"),
|
||||
WorkflowEdge(id="e2", from_node="path_b", to_node="join"),
|
||||
WorkflowEdge(id="e3", from_node="path_c", to_node="join")
|
||||
]
|
||||
)
|
||||
|
||||
context = {
|
||||
"node_results": {
|
||||
"path_a": NodeExecutionState(
|
||||
node_id="path_a",
|
||||
status=NodeStatus.EXECUTED,
|
||||
analysis_core="Analysis A"
|
||||
),
|
||||
"path_b": NodeExecutionState(
|
||||
node_id="path_b",
|
||||
status=NodeStatus.SKIPPED,
|
||||
analysis_core=None
|
||||
),
|
||||
"path_c": NodeExecutionState(
|
||||
node_id="path_c",
|
||||
status=NodeStatus.FAILED,
|
||||
error="Error",
|
||||
analysis_core=None
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
join_node = graph.nodes[3]
|
||||
result = evaluate_join_node(join_node, graph, context)
|
||||
|
||||
assert result.ready is True
|
||||
assert result.metadata["executed_paths"] == 1
|
||||
assert result.metadata["skipped_paths"] == 1
|
||||
assert result.metadata["failed_paths"] == 1
|
||||
|
||||
# Analysis core nur von path_a (executed)
|
||||
assert "path_a" in result.consolidated_analysis_core
|
||||
assert "path_c" in result.consolidated_analysis_core # Failed → Placeholder
|
||||
assert "[Path failed:" in result.consolidated_analysis_core["path_c"]
|
||||
|
||||
|
||||
# ── Helper Function Tests ─────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_collect_incoming_paths(simple_graph, context_all_executed):
|
||||
"""_collect_incoming_paths sammelt alle Pfade"""
|
||||
join_node = next(n for n in simple_graph.nodes if n.id == "join")
|
||||
|
||||
paths = _collect_incoming_paths(join_node, simple_graph, context_all_executed)
|
||||
|
||||
assert len(paths) == 2
|
||||
assert paths[0].node_id in ["path_a", "path_b"]
|
||||
assert paths[1].node_id in ["path_a", "path_b"]
|
||||
assert all(p.status == NodeStatus.EXECUTED for p in paths)
|
||||
|
||||
|
||||
def test_check_join_strategy_wait_all():
|
||||
"""_check_join_strategy für wait_all"""
|
||||
paths = [
|
||||
PathStatus("path_a", NodeStatus.EXECUTED, "A", {}),
|
||||
PathStatus("path_b", NodeStatus.EXECUTED, "B", {})
|
||||
]
|
||||
|
||||
ready, error = _check_join_strategy(paths, JoinStrategy.WAIT_ALL)
|
||||
assert ready is True
|
||||
assert error is None
|
||||
|
||||
|
||||
def test_check_join_strategy_wait_all_failed():
|
||||
"""_check_join_strategy für wait_all mit fehlenden Pfaden"""
|
||||
paths = [
|
||||
PathStatus("path_a", NodeStatus.EXECUTED, "A", {}),
|
||||
PathStatus("path_b", NodeStatus.SKIPPED, None, {})
|
||||
]
|
||||
|
||||
ready, error = _check_join_strategy(paths, JoinStrategy.WAIT_ALL)
|
||||
assert ready is False
|
||||
assert error is not None
|
||||
assert "wait_all strategy failed" in error
|
||||
|
||||
|
||||
def test_merge_analysis_cores_helper():
|
||||
"""_merge_analysis_cores merged Kerne korrekt"""
|
||||
paths = [
|
||||
PathStatus("path_a", NodeStatus.EXECUTED, "Analysis A", {}),
|
||||
PathStatus("path_b", NodeStatus.EXECUTED, "Analysis B", {}),
|
||||
PathStatus("path_c", NodeStatus.SKIPPED, None, {})
|
||||
]
|
||||
|
||||
merged = _merge_analysis_cores(paths, SkipHandling.IGNORE_SKIPPED)
|
||||
|
||||
assert len(merged) == 2
|
||||
assert merged["path_a"] == "Analysis A"
|
||||
assert merged["path_b"] == "Analysis B"
|
||||
assert "path_c" not in merged
|
||||
|
||||
|
||||
def test_combine_signals_helper():
|
||||
"""_combine_signals kombiniert Signale mit Präfix"""
|
||||
signal_a = NormalizedSignal(
|
||||
question_type="relevanz",
|
||||
raw_value="hoch",
|
||||
normalized_value="hoch",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
signal_b = NormalizedSignal(
|
||||
question_type="prioritaet",
|
||||
raw_value="mittel",
|
||||
normalized_value="mittel",
|
||||
status=SignalStatus.VALID
|
||||
)
|
||||
|
||||
paths = [
|
||||
PathStatus("path_a", NodeStatus.EXECUTED, "A", {"relevanz": signal_a}),
|
||||
PathStatus("path_b", NodeStatus.EXECUTED, "B", {"prioritaet": signal_b})
|
||||
]
|
||||
|
||||
combined = _combine_signals(paths)
|
||||
|
||||
assert len(combined) == 2
|
||||
assert "path_a.relevanz" in combined
|
||||
assert "path_b.prioritaet" in combined
|
||||
Loading…
Reference in New Issue
Block a user