feat: unify history tools and improve execution reliability

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somew1nd committed 2026-09-03 16:05:47 -07:00
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@@ -15,66 +15,49 @@
"""MCP Tool: mobile_inspect_trace."""
import json
import math
import os
import sqlite3
import sys
from typing import Any
from PIL import Image, ImageDraw
from mcp_server.base import mcp
from mcp_server.utils import env_utils
from artemis.data_engine.history_reader import OfflineHistoryReader
from artemis.runtime import trace_store
from artemis.utils.visualization import draw_action_overlay_on_image
from artemis.utils.task_tree import (
_render_step_detailed,
build_plan_and_history,
)
from artemis.tools.history import load_step_screenshot, replay_steps_text, search_history_text
from artemis.utils.task_tree import build_plan_and_history
def _draw_action_overlay(bg_image_path: str, action_obj: dict, output_path: str) -> bool:
"""Draws the action overlay on the image using Artemis's native visualization engine."""
def _write_overlay(annotated_bytes: bytes, output_path: str) -> bool:
"""Persists an already-drawn action overlay next to the trace."""
try:
if not os.path.exists(bg_image_path):
return False
with open(bg_image_path, "rb") as f:
raw_bytes = f.read()
act_name = action_obj.get("action") or action_obj.get("name") or ""
action_args = dict(action_obj.get("args") or {})
for k in (
"target",
"coordinates",
"point",
"direction",
"sequence",
"targets",
"normalized_coordinates",
):
if k in action_obj and k not in action_args:
action_args[k] = action_obj[k]
annotated_bytes = draw_action_overlay_on_image(
image_bytes=raw_bytes,
action_name=act_name,
action_args=action_args,
)
if not annotated_bytes or annotated_bytes == raw_bytes:
return False
os.makedirs(os.path.dirname(output_path), exist_ok=True)
with open(output_path, "wb") as f:
f.write(annotated_bytes)
return True
except Exception as e:
print(f"Error drawing action overlay: {e}", file=sys.stderr)
except OSError as e:
print(f"Error writing action overlay: {e}", file=sys.stderr)
return False
def _recall_config() -> Any:
try:
from artemis.config import load_agent_config
return load_agent_config().memory.recall
except Exception:
return None
@mcp.tool()
async def mobile_inspect_trace(action: str, trace_id: str, step_number: int | None = None) -> Any:
async def mobile_inspect_trace(
action: str,
trace_id: str,
step_number: int | None = None,
query: str | None = None,
step_range: list[int] | None = None,
max_results: int = 5,
) -> Any:
"""Retrieves execution details of a mobile automation task (running or finished).
Use it to monitor progress, verify answers, and diagnose agent errors for
@@ -84,21 +67,35 @@ async def mobile_inspect_trace(action: str, trace_id: str, step_number: int | No
- **'view_summary'**: High-level execution summary across all steps.
Pro: hierarchical task plan with per-step status; Flash: full execution
chain with each step's reasoning and action.
- **'search'**: Deterministic keyword / step-range lookup over the full
stored history (screen descriptions, exact actions and results,
reasoning, tool calls, notes, on-screen OCR/UI-tree text incl.
package/activity names, compressed-history ledgers). Every hit carries
its step number; a `step_range` also returns that range's per-step
action ledger. Requires `query` and/or `step_range`.
- **'view_step_screenshots'**: Local file paths of one step's screenshots:
`before_screenshot` (what the agent saw), `after_screenshot` (only set
when the action failed/was intercepted, else null), and
`action_overlay_screenshot` (the action visually marked — e.g. red circle
for taps — key for verifying the agent tapped the right element).
- **'view_step_details'**: Deep per-step diagnostics (raw VLM thoughts,
exact actions). Pro only — DO NOT use for Flash tasks ('view_summary'
already carries their full execution chain).
- **'view_step_details'**: Full replay of one step exactly as the agent's
own context showed it: what the screen showed, its reasoning, every tool
call it made (name, arguments, result — e.g. what the explorer or OCR
reported), the planned action, any safety-net interception and the
execution result. Coordinates are normalized [x, y]. Works for Flash and
Pro tasks.
Args:
action: `"view_summary"`, `"view_step_screenshots"`, or
action: `"view_summary"`, `"search"`, `"view_step_screenshots"`, or
`"view_step_details"`.
trace_id: The task's session identifier from `mobile_run_task`.
step_number: 1-indexed step to query; required for the two per-step
actions, omit for `view_summary`.
actions, omit otherwise.
query: Keywords for `"search"` (case-insensitive; every
whitespace-separated term is matched independently).
step_range: Optional `[start, end]` step range (inclusive) for
`"search"`.
max_results: Maximum `"search"` hits to return (server-side cap applies).
"""
project_root = env_utils.get_project_root()
db_path = os.path.join(trace_store.TRACES_DIR, "data_engine.db")
@@ -278,20 +275,45 @@ async def mobile_inspect_trace(action: str, trace_id: str, step_number: int | No
"message": f"Failed to format plan and history using Artemis task tree: {e}",
}
# 2. Handle Actions requiring step_number
elif action in ("view_step_screenshots", "view_step_details"):
# 2. Actions served by the offline history reader (same records as the live engine)
elif action in ("search", "view_step_screenshots", "view_step_details"):
status_data = trace_store.read_status(trace_id)
is_flash = status_data and status_data.get("model", "").lower() == "flash"
device_serial = status_data.get("device_serial") if status_data else None
if action == "view_step_details" and is_flash:
try:
reader = OfflineHistoryReader(db_path, os.path.dirname(db_path), trace_id)
except Exception as e:
return {
"error": "Not applicable for Flash model",
"message": (
"Action 'view_step_details' is not needed for Flash model runs. "
"For Flash tasks, 'view_summary' already outputs the complete "
"step-by-step reasoning (thoughts) and executed actions for the entire run."
),
"error": "Database error",
"message": f"Failed to open the trace database: {e}",
}
# 3. Handle Action: "search"
if action == "search":
if not query and not step_range:
return {
"error": "Missing parameter",
"message": "Action 'search' needs 'query' and/or 'step_range'.",
}
try:
results = search_history_text(
reader,
query=query or "",
step_range=step_range,
max_results=int(max_results or 5),
recall_config=_recall_config(),
)
except Exception as e:
return {
"error": "Search error",
"message": f"Failed to search trace '{trace_id}': {e}",
}
return {
"trace_id": trace_id,
"device_serial": device_serial,
"query": query or "",
"step_range": step_range,
"results": results,
}
if step_number is None:
@@ -301,146 +323,72 @@ async def mobile_inspect_trace(action: str, trace_id: str, step_number: int | No
}
try:
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute(
"SELECT * FROM steps WHERE session_id = ? AND step_number = ?",
(trace_id, step_number),
)
row = cursor.fetchone()
if not row:
conn.close()
return {
"error": "Step not found",
"message": f"Step number {step_number} not found for trace '{trace_id}'.",
}
step_dict = dict(row)
for col in ("action_taken", "last_execution_result", "extra_metadata"):
if step_dict.get(col):
try:
step_dict[col] = json.loads(step_dict[col])
except (ValueError, TypeError):
# Non-JSON column value: keep the raw string.
pass
cursor.execute(
"SELECT start_time FROM sessions WHERE session_id = ?",
(trace_id,),
)
session_row = cursor.fetchone()
session_start_time = session_row["start_time"] if session_row else None
cursor.execute(
"SELECT type, name, status, timestamp, duration, payload FROM traces WHERE step_id = ? ORDER BY timestamp ASC",
(step_dict["step_id"],),
)
trace_rows = cursor.fetchall()
events = []
for tr in trace_rows:
t_dict = dict(tr)
if t_dict.get("payload"):
try:
t_dict["payload"] = json.loads(t_dict["payload"])
except (ValueError, TypeError):
# Non-JSON payload: keep the raw string.
pass
events.append(t_dict)
step_dict["interleaved_events"] = events
conn.close()
record = reader.get_step_record(step_number)
except Exception as e:
return {
"error": "Database error",
"message": f"Database query failed: {e}",
}
if record is None:
return {
"error": "Step not found",
"message": f"Step number {step_number} not found for trace '{trace_id}'.",
}
# 3. Handle Action: "view_step_screenshots"
# 4. Handle Action: "view_step_screenshots"
if action == "view_step_screenshots":
images_dir = os.path.join(trace_store.TRACES_DIR, "images")
if not os.path.exists(images_dir):
images_dir = os.path.join(project_root, "traces", "images")
pre_image = None
post_image = None
overlay_image = None
if step_dict.get("pre_image_name"):
name = step_dict["pre_image_name"]
if not name.endswith(".jpg"):
name += ".jpg"
path = os.path.join(images_dir, name)
if os.path.exists(path):
pre_image = f"file://{path}"
pre_path = reader.get_step_image_path(step_number, "pre")
if pre_path is not None:
pre_image = f"file://{pre_path}"
overlay_dir = trace_store.get_trace_dir(trace_id)
os.makedirs(overlay_dir, exist_ok=True)
overlay_filename = f"step_{step_dict['step_number']}_overlay.jpg"
overlay_abs_path = os.path.join(overlay_dir, overlay_filename)
action_obj = step_dict.get("action_taken")
action_parsed = (
action_obj[0] if isinstance(action_obj, list) and action_obj else action_obj
)
if isinstance(action_parsed, dict) and (
action_parsed.get("action") or action_parsed.get("name")
):
if not os.path.exists(overlay_abs_path):
success_draw = _draw_action_overlay(
path, action_parsed, overlay_abs_path
)
if success_draw:
overlay_image = f"file://{overlay_abs_path}"
else:
overlay_dir = trace_store.get_trace_dir(trace_id)
overlay_abs_path = os.path.join(overlay_dir, f"step_{step_number}_overlay.jpg")
if os.path.exists(overlay_abs_path):
overlay_image = f"file://{overlay_abs_path}"
else:
# The overlay is drawn from the raw stored action (physical
# pixels) by the same loader the agents' tool uses.
shot = load_step_screenshot(reader, step_number, "overlay")
if shot.overlay_drawn and shot.image_bytes:
if _write_overlay(shot.image_bytes, overlay_abs_path):
overlay_image = f"file://{overlay_abs_path}"
if step_dict.get("post_image_name"):
name = step_dict["post_image_name"]
if not name.endswith(".jpg"):
name += ".jpg"
path = os.path.join(images_dir, name)
if os.path.exists(path):
post_image = f"file://{path}"
post_path = reader.get_step_image_path(step_number, "post")
if post_path is not None:
post_image = f"file://{post_path}"
return {
"trace_id": trace_id,
"device_serial": device_serial,
"step_number": step_dict["step_number"],
"step_number": record.step_number,
"before_screenshot": pre_image,
"after_screenshot": post_image,
"action_overlay_screenshot": overlay_image,
}
# 4. Handle Action: "view_step_details"
elif action == "view_step_details":
relative_time_str = "N/A"
if session_start_time and step_dict.get("timestamp"):
relative_time_val = step_dict["timestamp"] - session_start_time
relative_time_str = f"{relative_time_val:.1f}s"
rendered_text = _render_step_detailed(
step=step_dict,
relative_time=relative_time_str,
summary=step_dict.get("summary"),
action=step_dict.get("action_taken"),
result=step_dict.get("last_execution_result"),
is_most_recent=False,
)
# 5. Handle Action: "view_step_details"
rendered_text = replay_steps_text(reader, step_number, max_steps=1)
if rendered_text.startswith("Error"):
return {
"trace_id": trace_id,
"device_serial": device_serial,
"step_number": step_dict["step_number"],
"details": rendered_text,
"error": "Formatting error",
"message": f"Failed to render step {step_number}: {rendered_text}",
}
return {
"trace_id": trace_id,
"device_serial": device_serial,
"step_number": record.step_number,
"details": rendered_text,
}
else:
return {
"error": "Invalid action",
"message": (
f"Action '{action}' is not supported. Supported actions: "
"'view_summary', 'view_step_screenshots', 'view_step_details'."
"'view_summary', 'search', 'view_step_screenshots', 'view_step_details'."
),
}