feat(orchestrator): Harden VFS and enhance artifact awareness across workers

backend/src/ea_chatbot/graph/nodes/executor.py

@@ -9,7 +9,7 @@ from matplotlib.figure import Figure
 
 from ea_chatbot.graph.state import AgentState
 from ea_chatbot.utils.db_client import DBClient
-from ea_chatbot.utils.vfs import VFSHelper
+from ea_chatbot.utils.vfs import VFSHelper, safe_vfs_copy
 from ea_chatbot.utils.logging import get_logger
 from ea_chatbot.config import Settings
 
@@ -40,7 +40,7 @@ def executor_node(state: AgentState) -> dict:
     db_client = DBClient(settings=db_settings)
     
     # Initialize the Virtual File System (VFS) helper
-    vfs_state = copy.deepcopy(state.get("vfs", {}))
+    vfs_state = safe_vfs_copy(state.get("vfs", {}))
     vfs_helper = VFSHelper(vfs_state)
 
     # Initialize local variables for execution

backend/src/ea_chatbot/graph/nodes/synthesizer.py

@@ -23,11 +23,23 @@ def synthesizer_node(state: AgentState) -> dict:
         callbacks=[LangChainLoggingHandler(logger=logger)]
     )
     
+    # Artifact summary
+    plots = state.get("plots", [])
+    vfs = state.get("vfs", {})
+    artifacts_summary = ""
+    if plots:
+        artifacts_summary += f"- {len(plots)} generated plot(s) are attached to this response.\n"
+    if vfs:
+        artifacts_summary += "- Data files available in VFS: " + ", ".join(vfs.keys()) + "\n"
+    if not artifacts_summary:
+        artifacts_summary = "No additional artifacts generated."
+
     # We provide the full history and the original question
     messages = SYNTHESIZER_PROMPT.format_messages(
         question=question,
         history=history,
-        worker_results="Review the worker summaries provided in the message history."
+        worker_results="Review the worker summaries provided in the message history.",
+        artifacts_summary=artifacts_summary
     )
     
     try:

backend/src/ea_chatbot/graph/prompts/coder.py

@@ -9,6 +9,14 @@ The user will provide a task and a plan.
 - Do NOT assume a dataframe `df` is already loaded unless explicitly stated. You usually need to query it first.
 - The database schema is described in the prompt. Use it to construct valid SQL queries.
 
+**Virtual File System (VFS):**
+- An in-memory file system is available as `vfs`. Use it to persist intermediate data or large artifacts.
+- `vfs.write(filename, content, metadata=None)`: Save a file (content can be any serializable object).
+- `vfs.read(filename) -> (content, metadata)`: Read a file.
+- `vfs.list() -> list[str]`: List all files.
+- `vfs.delete(filename)`: Delete a file.
+- Prefer using VFS for intermediate DataFrames or complex data structures instead of printing everything.
+
 **Plotting:**
 - If you need to plot any data, use the `plots` list to store the figures.
 - Example: `plots.append(fig)` or `plots.append(plt.gcf())`.
@@ -18,7 +26,8 @@ The user will provide a task and a plan.
 - Produce FULL, COMPLETE CODE that includes all steps and solves the task!
 - Always include the import statements at the top of the code (e.g., `import pandas as pd`, `import matplotlib.pyplot as plt`).
 - Always include print statements to output the results of your code.
-- Use `db.query_df("SELECT ...")` to get data."""
+- Use `db.query_df("SELECT ...")` to get data.
+"""
 
 CODE_GENERATOR_USER = """TASK:
 {question}
@@ -43,6 +52,7 @@ Return a complete, corrected python code that incorporates the fixes for the err
 - You have access to a database client via the variable `db`.
 - Use `db.query_df(sql)` to run queries.
 - Use `plots.append(fig)` for plots.
+- You have access to `vfs` for persistent in-memory storage.
 - Always include imports and print statements."""
 
 ERROR_CORRECTOR_USER = """FAILED CODE:

backend/src/ea_chatbot/graph/prompts/synthesizer.py

@@ -9,6 +9,7 @@ Your goal is to synthesize their individual findings into a single, cohesive, an
 - Do NOT mention the internal 'workers' or 'checklist' names.
 - Combine the data insights (from Data Analysts) and factual research (from Researchers) into a natural narrative.
 - Ensure all numbers, dates, and names from the worker reports are included accurately.
+- **Artifacts & Plots:** If plots or charts were generated, refer to them naturally (e.g., "The chart below shows..."). 
 - If any part of the plan failed, explain the status honestly but professionally.
 - Present data in clear formats (tables, bullet points) where appropriate."""
 
@@ -18,6 +19,9 @@ SYNTHESIZER_USER = """USER QUESTION:
 EXECUTION SUMMARY (Results from specialized workers):
 {worker_results}
 
+AVAILABLE ARTIFACTS:
+{artifacts_summary}
+
 Provide the final integrated response:"""
 
 SYNTHESIZER_PROMPT = ChatPromptTemplate.from_messages([

backend/src/ea_chatbot/graph/workers/data_analyst/mapping.py

@@ -3,6 +3,7 @@ import copy
 from langchain_core.messages import HumanMessage, AIMessage
 from ea_chatbot.graph.state import AgentState
 from ea_chatbot.graph.workers.data_analyst.state import WorkerState
+from ea_chatbot.utils.vfs import safe_vfs_copy
 
 def prepare_worker_input(state: AgentState) -> Dict[str, Any]:
     """Prepare the initial state for the Data Analyst worker."""
@@ -17,7 +18,7 @@ def prepare_worker_input(state: AgentState) -> Dict[str, Any]:
     return {
         "task": task_desc,
         "messages": [HumanMessage(content=task_desc)], # Start worker loop with the task
-        "vfs_state": copy.deepcopy(state.get("vfs", {})),
+        "vfs_state": safe_vfs_copy(state.get("vfs", {})),
         "iterations": 0,
         "plots": [],
         "code": None,

backend/src/ea_chatbot/graph/workers/data_analyst/nodes/executor.py

@@ -9,7 +9,7 @@ from matplotlib.figure import Figure
 
 from ea_chatbot.graph.workers.data_analyst.state import WorkerState
 from ea_chatbot.utils.db_client import DBClient
-from ea_chatbot.utils.vfs import VFSHelper
+from ea_chatbot.utils.vfs import VFSHelper, safe_vfs_copy
 from ea_chatbot.utils.logging import get_logger
 from ea_chatbot.config import Settings
 
@@ -40,7 +40,7 @@ def executor_node(state: WorkerState) -> dict:
     db_client = DBClient(settings=db_settings)
     
     # Initialize the Virtual File System (VFS) helper with the snapshot from state
-    vfs_state = copy.deepcopy(state.get("vfs_state", {}))
+    vfs_state = safe_vfs_copy(state.get("vfs_state", {}))
     vfs_helper = VFSHelper(vfs_state)
     
     # Initialize local variables for execution

backend/src/ea_chatbot/graph/workers/data_analyst/nodes/summarizer.py

@@ -9,12 +9,21 @@ def summarizer_node(state: WorkerState) -> dict:
     task = state["task"]
     output = state.get("output", "")
     error = state.get("error")
+    plots = state.get("plots", [])
+    vfs_state = state.get("vfs_state", {})
     
     settings = Settings()
     logger = get_logger("data_analyst_worker:summarizer")
     
     logger.info("Summarizing analysis results for the Orchestrator...")
     
+    # Artifact summary
+    artifact_info = ""
+    if plots:
+        artifact_info += f"- Generated {len(plots)} plot(s).\n"
+    if vfs_state:
+        artifact_info += "- VFS Artifacts: " + ", ".join(vfs_state.keys()) + "\n"
+
     # We can use a smaller/faster model for this summary if needed
     llm = get_llm_model(
         settings.planner_llm, # Using planner model for summary logic
@@ -25,8 +34,10 @@ def summarizer_node(state: WorkerState) -> dict:
 Task: {task}
 Execution Results: {output}
 Error Log (if any): {error}
+{artifact_info}
 
 Provide a concise summary of the findings or status for the top-level Orchestrator. 
+If plots or data files were generated, mention them.
 If the execution failed after multiple retries, explain why concisely. 
 Do NOT include the raw Python code, just the results of the analysis."""
 

backend/src/ea_chatbot/utils/vfs.py

@@ -1,4 +1,37 @@
+import copy
 from typing import Dict, Any, Optional, Tuple, List
+from ea_chatbot.utils.logging import get_logger
+
+logger = get_logger("utils:vfs")
+
+def safe_vfs_copy(vfs_state: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    Perform a safe deep copy of the VFS state.
+    
+    If an entry cannot be deep-copied (e.g., it contains a non-copyable object like a DB handle),
+    logs an error and replaces the entry with a descriptive error marker.
+    This prevents crashing the graph/persistence while making the failure explicit.
+    """
+    new_vfs = {}
+    for filename, data in vfs_state.items():
+        try:
+            # Attempt a standard deepcopy for isolation
+            new_vfs[filename] = copy.deepcopy(data)
+        except Exception as e:
+            logger.error(
+                f"CRITICAL: VFS artifact '{filename}' is NOT copyable/serializable: {str(e)}. "
+                "Replacing with error placeholder to prevent graph crash."
+            )
+            # Replace with a standardized error artifact
+            new_vfs[filename] = {
+                "content": f"<ERROR: This artifact could not be persisted or copied: {str(e)}>",
+                "metadata": {
+                    "type": "error",
+                    "error": str(e),
+                    "original_filename": filename
+                }
+            }
+    return new_vfs
 
 class VFSHelper:
     """Helper class for managing in-memory Virtual File System (VFS) artifacts."""