Files
NexQuant/rdagent/app/finetune/llm/ui/app.py
T
TPTBusiness f01960ab55 feat: Add model loader system (same as prompts)
New structure:
- models/standard/*.py: Default models (XGBoost, LightGBM, RandomForest)
- models/local/*.py: Your improved models (NOT in Git!)
- models/README.md: Documentation
- rdagent/components/model_loader.py: Model loader with priority

Features:
- Loader checks models/local/ first (your better models)
- Falls back to models/standard/ if no local version
- Supports versioned models (model_v2.py, model_v1.py)
- Lists available models
- Test function included

.gitignore updated:
- models/local/ excluded (your proprietary models)
- *.local.py excluded
- *_private.py excluded

Usage:
  from rdagent.components.model_loader import load_model
  model = load_model('xgboost_factor')  # Auto-loads your better version!

Standard models included:
- xgboost_factor.py: XGBoost for tabular data
- lightgbm_factor.py: LightGBM (faster than XGBoost)
2026-04-02 22:40:46 +02:00

242 lines
9.0 KiB
Python

"""
FT (Fine-tune) Timeline Viewer
Hierarchical view: Session > Loop > Stage > EvoLoop > Events
Run:
streamlit run rdagent/app/finetune/llm/ui/app.py
"""
import os
from pathlib import Path
import streamlit as st
from streamlit import session_state as state
from rdagent.app.finetune.llm.ui.benchmarks import get_core_metric_score
from rdagent.app.finetune.llm.ui.components import render_session, render_summary
from rdagent.app.finetune.llm.ui.config import ALWAYS_VISIBLE_TYPES, OPTIONAL_TYPES
from rdagent.app.finetune.llm.ui.data_loader import (
get_summary,
get_valid_sessions,
load_ft_session,
)
from rdagent.app.finetune.llm.ui.ft_summary import render_job_summary
DEFAULT_LOG_BASE = "log/"
def get_job_options(base_path: Path) -> list[str]:
"""
Scan directory and return job options list.
- "." means standalone tasks in root directory
- Others are job directory names
Security: Validates base_path to prevent path traversal attacks.
Only allows scanning directories within the current working directory.
"""
options = []
has_root_tasks = False
job_dirs = []
# Security: Validate base_path to prevent path traversal
# Resolve to absolute path and ensure it's within the current working directory.
try:
safe_root = Path.cwd().resolve()
base_path_resolved = base_path.expanduser().resolve(strict=False)
# Ensure base_path_resolved is within safe_root; raises ValueError if not.
base_path_resolved.relative_to(safe_root)
except ValueError:
# Path is outside the allowed root, reject it.
st.error("Invalid log base path: Must be within project directory")
return options
except (OSError, RuntimeError) as e:
st.error(f"Invalid path: {e}")
return options
if not base_path_resolved.exists():
return options
for d in base_path_resolved.iterdir():
if not d.is_dir():
continue
# Check if standalone task (has __session__ directly)
if (d / "__session__").exists():
has_root_tasks = True
# Check if job directory (subdirs have __session__)
else:
try:
if any((sub / "__session__").exists() for sub in d.iterdir() if sub.is_dir()):
job_dirs.append(d.name)
except PermissionError:
pass
# Sort job dirs by name descending (newest first, since names are date-based)
job_dirs.sort(reverse=True)
# Add job dirs first, then root tasks at the end
options.extend(job_dirs)
if has_root_tasks:
options.append(". (Current)")
return options
def main():
st.set_page_config(layout="wide", page_title="FT Timeline", page_icon="🔬")
# ========== Sidebar ==========
with st.sidebar:
# View mode selection
view_mode = st.radio("View Mode", ["Job Summary", "Single Task"], horizontal=True)
st.divider()
default_log = os.environ.get("FT_LOG_PATH", DEFAULT_LOG_BASE)
job_folder = default_log # Initialize for both modes
selected_types = ALWAYS_VISIBLE_TYPES.copy() # Initialize for both modes
is_root_job = False # Track if viewing root tasks
if view_mode == "Job Summary":
# Job Summary mode
st.header("Job")
base_folder = st.text_input("Base Folder", value=default_log, key="base_folder_input")
base_path = Path(base_folder)
job_options = get_job_options(base_path)
if job_options:
selected_job = st.selectbox("Select Job", job_options, key="job_select")
if selected_job.startswith("."):
job_folder = base_folder
is_root_job = True
else:
job_folder = str(base_path / selected_job)
# Save to session_state for Single Task mode
state.selected_job_folder = job_folder
else:
st.warning("No jobs found in this directory")
job_folder = base_folder
if st.button("Refresh", type="primary", key="refresh_job"):
st.rerun()
else:
# Single Task mode
st.header("Session")
# Use job_folder from Job Summary mode if available
default_path = getattr(state, "selected_job_folder", default_log)
log_folder = st.text_input("Log Folder", value=default_path)
log_path = Path(log_folder)
sessions = get_valid_sessions(log_path)
if not sessions:
st.warning("No valid sessions found")
return
selected_session = st.selectbox("Session", sessions)
if st.button("Load", type="primary") or "session" not in state:
with st.spinner("Loading..."):
state.session = load_ft_session(log_path / selected_session)
state.session_name = selected_session
st.divider()
# Optional type toggles
st.subheader("Show More")
selected_types = ALWAYS_VISIBLE_TYPES.copy()
for event_type, (label, default) in OPTIONAL_TYPES.items():
if st.toggle(label, value=default, key=f"toggle_{event_type}"):
selected_types.append(event_type)
st.divider()
# Display options
st.subheader("Display Options")
state.render_markdown = st.toggle("Render Prompts", value=False, key="render_markdown_toggle")
st.divider()
# Summary in sidebar
if "session" in state:
summary = get_summary(state.session)
st.subheader("Summary")
st.metric("Loops", summary.get("loop_count", 0))
st.metric("LLM Calls", summary.get("llm_call_count", 0))
success = summary.get("docker_success", 0)
fail = summary.get("docker_fail", 0)
st.metric("Docker", f"{success}✓ / {fail}✗")
# ========== Main Content ==========
if view_mode == "Job Summary":
st.title("📊 FT Job Summary")
# Security: Validate job_folder to prevent path traversal
# Only allow paths within the base_path directory
try:
safe_root = Path(base_path).resolve()
job_path = Path(job_folder).expanduser().resolve(strict=False)
# Ensure job_path is within safe_root (prevent path traversal)
job_path.relative_to(safe_root)
if job_path.exists():
render_job_summary(job_path, is_root=is_root_job)
else:
st.warning(f"Job folder not found: {job_folder}")
except ValueError:
st.error("Invalid job folder path: Must be within base directory")
st.info("Please select a valid job from the sidebar.")
except (OSError, RuntimeError) as e:
st.error(f"Invalid path: {e}")
st.info("Please select a valid job from the sidebar.")
return
# Single Task mode
st.title("🔬 FT Timeline Viewer")
if "session" not in state:
st.info("Select a session and click **Load** to view")
return
session = state.session
summary = get_summary(session)
# Global info header (Base Model, Datasets, Benchmark) - compact style
scenario_event = next((e for e in session.init_events if e.type == "scenario"), None)
dataset_event = next((e for e in session.init_events if e.type == "dataset_selection"), None)
if scenario_event or dataset_event:
if scenario_event and hasattr(scenario_event.content, "base_model"):
st.markdown(f"🧠 **Model:** `{scenario_event.content.base_model}`")
if dataset_event:
selected = (
dataset_event.content.get("selected_datasets", []) if isinstance(dataset_event.content, dict) else []
)
if selected:
st.markdown(f"📂 **Datasets:** `{', '.join(selected)}`")
if scenario_event and hasattr(scenario_event.content, "target_benchmark"):
st.markdown(f"🎯 **Benchmark:** `{scenario_event.content.target_benchmark}`")
# Display baseline benchmark score
if scenario_event and hasattr(scenario_event.content, "baseline_benchmark_score"):
baseline = scenario_event.content.baseline_benchmark_score
if baseline and isinstance(baseline, dict):
benchmark_name = getattr(scenario_event.content, "target_benchmark", "")
accuracy_summary = baseline.get("accuracy_summary", {})
if accuracy_summary:
result = get_core_metric_score(benchmark_name, accuracy_summary)
if result:
metric_name, score, _ = result
st.markdown(f"📊 **Baseline:** `{metric_name} = {score:.1f}`")
# Summary bar
render_summary(summary)
st.divider()
# Hierarchical view
render_session(session, selected_types)
if __name__ == "__main__":
main()