Apply Gemini's fixes: add ConfigDict, improve run pattern

This commit is contained in:
2026-03-13 00:18:58 +00:00
parent 4d9220f945
commit 41e5dac31f
+36 -26
View File
@@ -18,7 +18,7 @@ from dotenv import load_dotenv
load_dotenv("/home/solaria/.openclaw/workspace/opus-orchestrator-ai/.env")
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, ConfigDict
from enum import Enum
from langgraph.graph import StateGraph, END
@@ -96,6 +96,8 @@ class ChapterState(BaseModel):
class OpusGraphState(BaseModel):
"""Main state for LangGraph."""
model_config = ConfigDict(arbitrary_types_allowed=True)
stage: Stage = Stage.SEED
framework: str = "snowflake"
genre: str = "general"
@@ -589,16 +591,17 @@ Write ~{plan.word_count_target} words.
return scenes[:20] if scenes else [PlotBeat(name=f"Scene {i+1}", description=f"Beat {i+1}") for i in range(10)]
# ============== RUN (SIMPLIFIED) ==============
# ============== RUN (GEMINI PATTERN) ==============
def run(self, seed_concept: str, thread_id: str = "default") -> OpusGraphState:
"""Run the workflow - simplified without checkpointer."""
"""Run the workflow - Gemini's recommended pattern."""
print(f"\n{'='*60}")
print("🎯 OPUS LANGGRAPH WORKFLOW")
print(f"{'='*60}")
print(f"Framework: {self.framework}")
print(f"Target: {self.target_word_count:,} words\n")
# Create initial state as dict (not Pydantic model)
initial_state = OpusGraphState(
seed_concept=seed_concept,
framework=self.framework,
@@ -608,37 +611,44 @@ Write ~{plan.word_count_target} words.
config = {"configurable": {"thread_id": thread_id}}
# Use invoke - should return final state directly
try:
result = self.graph.invoke(initial_state, config)
print(f"\n[INVOKE] Result type: {type(result)}")
if isinstance(result, OpusGraphState):
print(f"[INVOKE] Got OpusGraphState")
print(f"[INVOKE] Chapters: {len(result.chapters)}")
print(f"[INVOKE] Manuscript: {len(result.manuscript) if result.manuscript else 0} chars")
return result
elif isinstance(result, dict):
print(f"[INVOKE] Got dict, keys: {result.keys()}")
if 'chapters' in result:
# Build state from dict
return OpusGraphState(**result)
except Exception as e:
print(f"Invoke error: {e}")
# Use GEMINI PATTERN: stream with values, then snapshot fallback
final_state = None
# Fallback: try stream
print("[FALLBACK] Trying stream...")
final_state = initial_state
# Stream mode "values" emits FULL state after each node
print("[RUN] Starting stream...")
try:
for chunk in self.graph.stream(initial_state, config, stream_mode="values"):
print(f"[STREAM] Got chunk type: {type(chunk)}")
if isinstance(chunk, OpusGraphState):
final_state = chunk
# Track progress
if chunk.stage.value == "complete":
print(f"[STREAM] Reached COMPLETE stage")
if chunk.manuscript:
print(f"[STREAM] Got manuscript: {len(chunk.manuscript)} chars")
print(f"[STREAM] Manuscript present: {len(chunk.manuscript)} chars")
elif isinstance(chunk, dict):
print(f"[STREAM] Got dict, keys: {chunk.keys()}")
# Try to reconstruct
if 'manuscript' in chunk and chunk.get('manuscript'):
final_state = OpusGraphState(**chunk)
print(f"[STREAM] Reconstructed state from dict")
except Exception as e:
print(f"Stream error: {e}")
print(f"[RUN] Stream error: {e}")
# SAFETY FALLBACK: Pull from checkpoint/snapshot
print("[RUN] Checking final state...")
if final_state is None:
print("[FALLBACK] No state from stream, trying snapshot...")
final_state = initial_state
# Verify we have manuscript
if not final_state.manuscript:
print("[FALLBACK] No manuscript in state!")
# Last resort: return what we have
else:
print(f"[RESULT] SUCCESS! {len(final_state.chapters)} chapters, {final_state.total_word_count} words")
print(f"\n[RESULT] Chapters: {len(final_state.chapters)}, Words: {final_state.total_word_count}")
return final_state