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CPPTRAJ Agent β IDE-style Streamlit UI
Matches the aesthetic of agent_ide.html:
- Dark GitHub-style theme (#0d1117 bg)
- JetBrains Mono + Syne fonts
- Three-panel layout: Command Ref | Editor + Terminal/AI | Files + Detail
"""
import base64 as _b64
import os
import tempfile
from pathlib import Path
import pandas as pd
import plotly.express as px
import streamlit as st
from dotenv import load_dotenv
load_dotenv()
from core.agent import TrajectoryAgent
from core.knowledge_base import CPPTrajKnowledgeBase, CPPTRAJ_COMMANDS, SCRIPT_TEMPLATES
from core.runner import CPPTrajRunner
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# PAGE CONFIG
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
st.set_page_config(
page_title="cpptraj IDE",
page_icon="⬑",
layout="wide",
initial_sidebar_state="collapsed",
)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# GLOBAL CSS β match agent_ide.html exactly
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
_CSS = """
/* ββ Variables ββββββββββββββββββββββββββββββββββββββββ */
:root {
--bg: #0d1117;
--surface: #161b22;
--surface2: #21262d;
--surface3: #30363d;
--border: #30363d;
--accent: #58a6ff;
--accent2: #3fb950;
--accent3: #f78166;
--accent4: #e3b341;
--text: #e6edf3;
--muted: #8b949e;
--dim: #484f58;
--keyword: #ff7b72;
--option: #79c0ff;
}
/* ββ Base βββββββββββββββββββββββββββββββββββββββββββββ */
html, body, [data-testid="stAppViewContainer"], .stApp {
background: var(--bg) !important;
font-family: 'Syne', sans-serif !important;
color: var(--text) !important;
}
[data-testid="stHeader"] { display: none !important; }
[data-testid="stDecoration"] { display: none !important; }
[data-testid="stToolbar"] { display: none !important; }
.block-container {
padding: 0 !important;
max-width: 100% !important;
}
footer { display: none !important; }
#MainMenu { display: none !important; }
/* ββ Sidebar hide βββββββββββββββββββββββββββββββββββββ */
[data-testid="stSidebar"] { display: none !important; }
/* ββ Custom Header ββββββββββββββββββββββββββββββββββββ */
.ide-header {
background: var(--surface);
border-bottom: 1px solid var(--border);
padding: 0 20px;
height: 52px;
display: flex;
align-items: center;
gap: 16px;
position: sticky;
top: 0;
z-index: 999;
}
.ide-logo {
font-size: 18px;
font-weight: 800;
font-family: 'Syne', sans-serif;
letter-spacing: -0.5px;
display: flex;
align-items: center;
gap: 8px;
white-space: nowrap;
}
.ide-logo-icon { color: var(--accent); font-family: 'JetBrains Mono', monospace; font-size: 22px; }
.ide-logo b { color: var(--accent); }
.ide-search {
flex: 1;
max-width: 360px;
position: relative;
}
.ide-search input {
width: 100%;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 8px;
padding: 7px 12px 7px 34px;
color: var(--text);
font-family: 'JetBrains Mono', monospace;
font-size: 13px;
outline: none;
}
.ide-search input:focus { border-color: var(--accent); }
.ide-search-icon {
position: absolute;
left: 10px;
top: 50%;
transform: translateY(-50%);
color: var(--muted);
font-size: 14px;
}
.ide-status-row {
margin-left: auto;
display: flex;
align-items: center;
gap: 14px;
font-family: 'JetBrains Mono', monospace;
font-size: 11px;
color: var(--muted);
}
.ide-status-dot {
width: 7px; height: 7px; border-radius: 50%;
background: var(--accent2);
display: inline-block; margin-right: 5px;
}
/* ββ Panel wrapper ββββββββββββββββββββββββββββββββββββ */
.ide-panels {
display: flex;
height: calc(100vh - 52px);
overflow: hidden;
}
.panel-left {
width: 290px;
min-width: 290px;
background: var(--surface);
border-right: 1px solid var(--border);
display: flex;
flex-direction: column;
overflow: hidden;
}
.panel-center {
flex: 1;
display: flex;
flex-direction: column;
overflow: hidden;
background: var(--bg);
}
.panel-right {
width: 330px;
min-width: 330px;
background: var(--surface);
border-left: 1px solid var(--border);
display: flex;
flex-direction: column;
overflow: hidden;
}
/* ββ Panel headers ββββββββββββββββββββββββββββββββββββ */
.panel-hdr {
padding: 9px 14px;
font-size: 10px;
font-weight: 700;
letter-spacing: 0.1em;
text-transform: uppercase;
color: var(--muted);
border-bottom: 1px solid var(--border);
display: flex;
align-items: center;
justify-content: space-between;
flex-shrink: 0;
background: var(--surface);
}
/* ββ Filter tabs ββββββββββββββββββββββββββββββββββββββ */
.filter-bar {
display: flex;
gap: 4px;
padding: 8px 10px;
border-bottom: 1px solid var(--border);
flex-wrap: wrap;
flex-shrink: 0;
}
.ftab {
padding: 3px 10px;
border-radius: 20px;
font-size: 11px;
font-weight: 600;
cursor: pointer;
border: 1px solid var(--border);
color: var(--muted);
background: transparent;
transition: all 0.15s;
}
.ftab:hover { border-color: var(--accent); color: var(--accent); }
.ftab.active { background: var(--accent); border-color: var(--accent); color: #000; }
/* ββ Cmd list βββββββββββββββββββββββββββββββββββββββββ */
.cmd-list {
overflow-y: auto;
flex: 1;
padding: 4px;
}
.cmd-list::-webkit-scrollbar { width: 3px; }
.cmd-list::-webkit-scrollbar-thumb { background: var(--surface3); border-radius: 2px; }
.cmd-item {
padding: 8px 10px;
border-radius: 6px;
cursor: pointer;
margin-bottom: 1px;
transition: background 0.1s;
border-left: 2px solid transparent;
}
.cmd-item:hover { background: var(--surface2); }
.cmd-item.sel { background: var(--surface2); border-left-color: var(--accent); }
.cmd-name {
font-family: 'JetBrains Mono', monospace;
font-size: 13px;
font-weight: 600;
color: var(--keyword);
}
.cmd-sub {
font-size: 11px;
color: var(--muted);
margin-top: 2px;
line-height: 1.3;
}
.badge {
display: inline-block;
font-size: 9px;
padding: 1px 6px;
border-radius: 3px;
font-weight: 700;
margin-left: 6px;
vertical-align: middle;
font-family: 'Syne', sans-serif;
}
.b-analysis { background: rgba(88,166,255,.15); color: var(--accent); }
.b-action { background: rgba(63,185,80,.15); color: var(--accent2); }
.b-input { background: rgba(227,179,65,.15); color: var(--accent4); }
.b-output { background: rgba(247,129,102,.15);color: var(--accent3); }
.b-mask { background: rgba(121,192,255,.15);color: var(--option); }
/* ββ Editor toolbar βββββββββββββββββββββββββββββββββββ */
.editor-bar {
background: var(--surface);
border-bottom: 1px solid var(--border);
padding: 6px 14px;
display: flex;
align-items: center;
gap: 8px;
flex-shrink: 0;
}
.file-tab {
padding: 4px 12px;
border-radius: 4px;
font-family: 'JetBrains Mono', monospace;
font-size: 12px;
color: var(--text);
background: var(--surface2);
border: 1px solid var(--border);
display: flex;
align-items: center;
gap: 6px;
}
.file-tab-dot { width: 6px; height: 6px; border-radius: 50%; background: var(--accent4); }
/* ββ Mode switcher (Editor / AI Agent / Builder / Results) ββ */
.mode-bar {
display: flex;
background: var(--bg);
border-bottom: 1px solid var(--border);
flex-shrink: 0;
}
.mode-btn {
padding: 8px 18px;
font-family: 'Syne', sans-serif;
font-size: 12px;
font-weight: 600;
color: var(--muted);
cursor: pointer;
border: none;
background: transparent;
border-bottom: 2px solid transparent;
transition: all 0.15s;
}
.mode-btn:hover { color: var(--text); }
.mode-btn.active { color: var(--accent); border-bottom-color: var(--accent); }
/* ββ Terminal βββββββββββββββββββββββββββββββββββββββββ */
.terminal {
background: #010409;
border-top: 1px solid var(--border);
font-family: 'JetBrains Mono', monospace;
font-size: 12px;
line-height: 1.7;
overflow-y: auto;
flex-shrink: 0;
}
.terminal::-webkit-scrollbar { width: 3px; }
.terminal::-webkit-scrollbar-thumb { background: var(--surface3); border-radius: 2px; }
.t-hdr {
background: var(--surface);
border-bottom: 1px solid var(--border);
padding: 5px 14px;
font-size: 10px;
font-weight: 700;
letter-spacing: 0.1em;
text-transform: uppercase;
color: var(--muted);
display: flex;
align-items: center;
justify-content: space-between;
}
/* ββ Run bar ββββββββββββββββββββββββββββββββββββββββββ */
.run-bar {
background: var(--surface);
border-top: 1px solid var(--border);
padding: 7px 14px;
display: flex;
align-items: center;
gap: 10px;
flex-shrink: 0;
}
/* ββ Buttons ββββββββββββββββββββββββββββββββββββββββββ */
.ibtn {
padding: 6px 14px;
border-radius: 6px;
font-family: 'Syne', sans-serif;
font-weight: 600;
font-size: 12px;
cursor: pointer;
border: none;
transition: all 0.15s;
white-space: nowrap;
}
.ibtn-green { background: var(--accent2); color: #000; }
.ibtn-green:hover { background: #56d364; }
.ibtn-blue { background: var(--accent); color: #000; }
.ibtn-blue:hover { background: #79b8ff; }
.ibtn-ghost { background: transparent; color: var(--muted); border: 1px solid var(--border); }
.ibtn-ghost:hover { border-color: var(--accent); color: var(--accent); }
.ibtn-sm { padding: 4px 10px; font-size: 11px; }
/* ββ Upload zone ββββββββββββββββββββββββββββββββββββββ */
.upload-zone {
margin: 10px;
border: 2px dashed var(--border);
border-radius: 8px;
padding: 14px;
text-align: center;
cursor: pointer;
transition: all 0.2s;
}
.upload-zone:hover { border-color: var(--accent); background: rgba(88,166,255,.05); }
/* ββ File items βββββββββββββββββββββββββββββββββββββββ */
.fitem {
display: flex;
align-items: center;
gap: 8px;
padding: 6px 8px;
border-radius: 6px;
background: var(--surface2);
margin: 4px 10px;
font-size: 12px;
}
.fitem-name {
font-family: 'JetBrains Mono', monospace;
font-size: 11px;
color: var(--text);
flex: 1;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.fitem-meta { font-size: 10px; color: var(--muted); }
.fitem-type {
font-size: 9px;
padding: 1px 5px;
border-radius: 3px;
background: rgba(88,166,255,.15);
color: var(--accent);
font-weight: 700;
}
/* ββ Command detail βββββββββββββββββββββββββββββββββββ */
.detail-box { padding: 14px; overflow-y: auto; flex: 1; }
.detail-box::-webkit-scrollbar { width: 3px; }
.detail-box::-webkit-scrollbar-thumb { background: var(--surface3); border-radius: 2px; }
.detail-cmd { font-family: 'JetBrains Mono', monospace; font-size: 18px; font-weight: 700; color: var(--keyword); }
.detail-cat { font-size: 10px; color: var(--muted); text-transform: uppercase; letter-spacing: .1em; margin: 4px 0 10px; }
.detail-desc { font-size: 12px; line-height: 1.6; color: var(--text); margin-bottom: 12px; }
.sect-title {
font-size: 9px;
font-weight: 700;
letter-spacing: .1em;
text-transform: uppercase;
color: var(--muted);
padding-bottom: 4px;
border-bottom: 1px solid var(--border);
margin-bottom: 8px;
}
.syntax-box {
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
padding: 10px 12px;
font-family: 'JetBrains Mono', monospace;
font-size: 12px;
line-height: 1.6;
color: var(--text);
position: relative;
word-break: break-all;
}
.example-box {
background: var(--bg);
border: 1px solid var(--border);
border-left: 3px solid var(--accent2);
border-radius: 4px;
padding: 8px 10px;
font-family: 'JetBrains Mono', monospace;
font-size: 11px;
color: var(--text);
line-height: 1.7;
white-space: pre;
overflow-x: auto;
}
.opt-row { display: flex; gap: 8px; margin-bottom: 6px; align-items: flex-start; }
.opt-key { font-family: 'JetBrains Mono', monospace; font-size: 11px; color: var(--option); min-width: 80px; flex-shrink: 0; }
.opt-val { font-size: 11px; color: var(--muted); line-height: 1.4; }
.insert-btn {
width: 100%;
margin-top: 6px;
padding: 6px;
border-radius: 5px;
background: rgba(88,166,255,.1);
border: 1px solid rgba(88,166,255,.3);
color: var(--accent);
font-family: 'Syne', sans-serif;
font-weight: 600;
font-size: 11px;
cursor: pointer;
transition: all 0.15s;
text-align: center;
}
.insert-btn:hover { background: rgba(88,166,255,.2); }
/* ββ Chat βββββββββββββββββββββββββββββββββββββββββββββ */
.chat-area {
flex: 1;
overflow-y: auto;
padding: 14px;
display: flex;
flex-direction: column;
gap: 14px;
}
.chat-area::-webkit-scrollbar { width: 3px; }
.chat-area::-webkit-scrollbar-thumb { background: var(--surface3); border-radius: 2px; }
.chat-msg { display: flex; gap: 10px; }
.chat-msg.user { flex-direction: row-reverse; }
.avatar {
width: 28px; height: 28px; border-radius: 50%;
display: flex; align-items: center; justify-content: center;
font-size: 12px; font-weight: 700; flex-shrink: 0;
}
.avatar-user { background: var(--accent); color: #000; }
.avatar-ai { background: var(--accent2); color: #000; }
.bubble {
max-width: 85%;
padding: 8px 12px;
border-radius: 8px;
font-size: 13px;
line-height: 1.5;
}
.bubble-user { background: rgba(88,166,255,.15); border: 1px solid rgba(88,166,255,.3); color: var(--text); }
.bubble-ai { background: var(--surface2); border: 1px solid var(--border); color: var(--text); }
.chat-input-bar {
background: var(--surface);
border-top: 1px solid var(--border);
padding: 10px 14px;
display: flex;
gap: 8px;
flex-shrink: 0;
}
.chat-input {
flex: 1;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 8px;
padding: 8px 12px;
color: var(--text);
font-family: 'Syne', sans-serif;
font-size: 13px;
outline: none;
resize: none;
}
.chat-input:focus { border-color: var(--accent); }
/* ββ Quick prompt chips βββββββββββββββββββββββββββββββ */
.chip-row { display: flex; flex-wrap: wrap; gap: 6px; padding: 8px 14px; border-bottom: 1px solid var(--border); }
.chip {
padding: 4px 10px;
border-radius: 20px;
font-size: 11px;
font-weight: 600;
cursor: pointer;
border: 1px solid var(--border);
color: var(--muted);
background: transparent;
transition: all 0.15s;
font-family: 'Syne', sans-serif;
}
.chip:hover { border-color: var(--accent); color: var(--accent); }
/* ββ Tool call accordion ββββββββββββββββββββββββββββββ */
.tool-call {
margin-top: 6px;
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
overflow: hidden;
font-size: 11px;
}
.tool-call-hdr {
padding: 5px 10px;
background: var(--surface3);
color: var(--muted);
font-family: 'JetBrains Mono', monospace;
cursor: pointer;
display: flex;
align-items: center;
gap: 6px;
}
.tool-call-body {
padding: 8px 10px;
font-family: 'JetBrains Mono', monospace;
font-size: 11px;
line-height: 1.6;
color: var(--text);
max-height: 200px;
overflow-y: auto;
white-space: pre-wrap;
}
.t-success { color: var(--accent2); }
.t-warn { color: var(--accent4); }
.t-error { color: var(--accent3); }
.t-info { color: var(--muted); }
.t-data { color: var(--accent); }
.t-prompt { color: var(--accent2); }
/* ββ Streamlit widget overrides βββββββββββββββββββββββ */
div[data-testid="stTextInput"] label,
div[data-testid="stTextArea"] label,
div[data-testid="stSelectbox"] label,
div[data-testid="stCheckbox"] label,
.stRadio label { color: var(--muted) !important; font-size: 11px !important; font-family: 'Syne', sans-serif !important; }
div[data-testid="stTextInput"] input,
div[data-testid="stNumberInput"] input {
background: var(--bg) !important;
border: 1px solid var(--border) !important;
border-radius: 6px !important;
color: var(--text) !important;
font-family: 'JetBrains Mono', monospace !important;
font-size: 13px !important;
}
div[data-testid="stTextInput"] input:focus,
div[data-testid="stNumberInput"] input:focus {
border-color: var(--accent) !important;
box-shadow: none !important;
}
div[data-testid="stTextArea"] textarea {
background: var(--bg) !important;
border: 1px solid var(--border) !important;
color: var(--text) !important;
font-family: 'JetBrains Mono', monospace !important;
font-size: 13px !important;
line-height: 22px !important;
}
.stButton > button {
background: var(--surface2) !important;
border: 1px solid var(--border) !important;
color: var(--text) !important;
font-family: 'Syne', sans-serif !important;
font-weight: 600 !important;
border-radius: 6px !important;
transition: all 0.15s !important;
}
.stButton > button:hover {
border-color: var(--accent) !important;
color: var(--accent) !important;
}
.stButton > button[kind="primary"] {
background: var(--accent2) !important;
border-color: var(--accent2) !important;
color: #000 !important;
}
.stButton > button[kind="primary"]:hover {
background: #56d364 !important;
}
div[data-testid="stSelectbox"] > div > div {
background: var(--bg) !important;
border: 1px solid var(--border) !important;
color: var(--text) !important;
font-family: 'JetBrains Mono', monospace !important;
}
.stExpander {
background: var(--surface2) !important;
border: 1px solid var(--border) !important;
border-radius: 6px !important;
}
.stExpander header { color: var(--text) !important; font-family: 'JetBrains Mono', monospace !important; font-size: 13px !important; }
.stExpander div[data-testid="stExpanderDetails"] { background: var(--bg) !important; }
.stAlert { border-radius: 6px !important; font-family: 'Syne', sans-serif !important; }
div[data-testid="stChatMessage"] {
background: var(--surface2) !important;
border: 1px solid var(--border) !important;
border-radius: 8px !important;
}
div[data-testid="stChatInputContainer"] textarea {
background: var(--bg) !important;
border: 1px solid var(--border) !important;
color: var(--text) !important;
font-family: 'Syne', sans-serif !important;
}
[data-testid="column"] { padding: 0 !important; }
/* ββ Dataframe ββββββββββββββββββββββββββββββββββββββββ */
.stDataFrame { border: 1px solid var(--border) !important; border-radius: 6px !important; }
/* ββ Code block βββββββββββββββββββββββββββββββββββββββ */
.stCode { background: var(--bg) !important; border: 1px solid var(--border) !important; }
code { font-family: 'JetBrains Mono', monospace !important; color: var(--text) !important; }
/* ββ Plotly chart βββββββββββββββββββββββββββββββββββββ */
.js-plotly-plot { border: 1px solid var(--border) !important; border-radius: 6px !important; }
/* ββ Scroll bars global βββββββββββββββββββββββββββββββ */
::-webkit-scrollbar { width: 4px; height: 4px; }
::-webkit-scrollbar-track { background: transparent; }
::-webkit-scrollbar-thumb { background: var(--surface3); border-radius: 2px; }
/* ββ Remove streamlit container gaps ββββββββββββββββββ */
.element-container { margin: 0 !important; }
div[data-testid="stVerticalBlock"] > div { gap: 0 !important; }
"""
_b64css = _b64.b64encode(_CSS.encode()).decode()
st.markdown(
'<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;600;700'
'&family=Syne:wght@400;600;700;800&display=swap" rel="stylesheet">'
f'<link rel="stylesheet" href="data:text/css;base64,{_b64css}">',
unsafe_allow_html=True,
)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SESSION STATE
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _init():
defaults = {
"parm_path": None,
"traj_paths": [],
"work_dir": tempfile.mkdtemp(prefix="cpptraj_"),
"chat_history": [],
"script": (
"# cpptraj analysis script\n"
"parm topology.prmtop\n"
"trajin trajectory.nc\n\n"
"autoimage\n"
"center !:WAT origin\n\n"
"rmsd backbone @CA,C,N,O first out rmsd.dat\n\n"
"go\n"
),
"last_result": None,
"api_key": os.environ.get("ANTHROPIC_API_KEY", ""),
"runner": None,
"agent": None,
"center_mode": "editor", # editor | agent | builder | results
"sel_cmd": None, # selected command key in left panel
"cmd_filter": "all",
"doc_search": "",
}
for k, v in defaults.items():
if k not in st.session_state:
st.session_state[k] = v
_init()
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# RESOURCE HELPERS
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
@st.cache_resource
def get_kb() -> CPPTrajKnowledgeBase:
return CPPTrajKnowledgeBase()
def get_runner() -> CPPTrajRunner:
if st.session_state.runner is None:
st.session_state.runner = CPPTrajRunner(work_dir=st.session_state.work_dir)
return st.session_state.runner
def get_agent() -> TrajectoryAgent:
if st.session_state.agent is None:
st.session_state.agent = TrajectoryAgent(
runner=get_runner(), kb=get_kb(),
api_key=st.session_state.api_key,
)
return st.session_state.agent
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# HELPER: PLOT
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _col_names(fname: str, ncols: int) -> list:
maps = {
"rmsd": ["Frame"] + ["RMSD_Γ
"] * (ncols - 1),
"rmsf": ["Residue"] + ["RMSF_Γ
"] * (ncols - 1),
"rg": ["Frame", "Rg_Γ
", "Rg_max_Γ
"],
"radgyr": ["Frame", "Rg_Γ
", "Rg_max_Γ
"],
"hbond": ["Frame", "N_HBonds"],
"distance": ["Frame", "Dist_Γ
"],
"angle": ["Frame", "Angle_Β°"],
"dihedral": ["Frame", "Dihedral_Β°"],
"msd": ["Time_ps", "MSD_Γ
Β²", "Dx", "Dy", "Dz"],
"density": ["Pos_Γ
", "Density"],
"surf": ["Frame", "SASA_Γ
Β²"],
"sasa": ["Frame", "SASA_Γ
Β²"],
"cluster": ["Frame", "Cluster_ID"],
"pca_proj": ["Frame"] + [f"PC{i}" for i in range(1, ncols)],
"watershell": ["Frame", "Shell1", "Shell2"],
"nativecontacts": ["Frame", "Q_native"],
}
for k, cols in maps.items():
if k in fname:
r = list(cols[:ncols])
while len(r) < ncols:
r.append(f"col{len(r)}")
return r
return [f"col{i}" for i in range(ncols)]
def plot_file(fp: Path, content: str, key_pfx: str = ""):
from io import StringIO
rows = [l for l in content.splitlines()
if l.strip() and not l.strip().startswith(("#","@","$","%"))]
if not rows:
st.info("File is empty or comment-only.")
return
try:
df = pd.read_csv(StringIO("\n".join(rows)), sep=r"\s+",
header=None, on_bad_lines="skip")
if df.empty or df.shape[1] < 2:
st.info("Need β₯2 numeric columns to plot.")
return
names = _col_names(fp.stem.lower(), df.shape[1])
df.columns = names[:df.shape[1]]
df = df.apply(pd.to_numeric, errors="coerce").dropna()
if df.empty:
return
x_col = df.columns[0]
y_cols = list(df.columns[1:])
ptype = st.radio("Plot type", ["Line","Scatter","Histogram","Box"],
horizontal=True, key=f"pt_{key_pfx}_{fp.name}")
sel_y = st.multiselect("Y-axis", y_cols,
default=y_cols[:min(3,len(y_cols))],
key=f"py_{key_pfx}_{fp.name}")
if not sel_y:
return
if ptype == "Line":
fig = px.line(df, x=x_col, y=sel_y, title=fp.stem,
template="plotly_dark")
elif ptype == "Scatter":
cols = sel_y if len(sel_y) >= 2 else [x_col] + sel_y
fig = px.scatter(df, x=cols[0], y=cols[1], title=fp.stem,
template="plotly_dark", opacity=0.6)
elif ptype == "Histogram":
fig = px.histogram(df, x=sel_y[0], nbins=60, title=fp.stem,
template="plotly_dark")
else:
fig = px.box(df, y=sel_y, title=fp.stem, template="plotly_dark")
fig.update_layout(
height=360,
paper_bgcolor="#0d1117",
plot_bgcolor="#0d1117",
font_color="#e6edf3",
xaxis=dict(gridcolor="#30363d"),
yaxis=dict(gridcolor="#30363d"),
)
st.plotly_chart(fig, use_container_width=True)
with st.expander("Statistics"):
st.dataframe(df[sel_y].describe(), use_container_width=True)
except Exception as e:
st.caption(f"Could not auto-plot: {e}")
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# HEADER
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
runner = get_runner()
cpptraj_ok = runner.is_cpptraj_available()
parm_ok = st.session_state.parm_path is not None
traj_ok = len(st.session_state.traj_paths) > 0
st.markdown(f"""
<div class="ide-header">
<div class="ide-logo">
<span class="ide-logo-icon">⬑</span>
cpptraj <b>IDE</b>
</div>
<div class="ide-status-row">
<span><span class="ide-status-dot" style="background:{'var(--accent2)' if cpptraj_ok else 'var(--accent3)'}"></span>
cpptraj {'found' if cpptraj_ok else 'not found'}</span>
<span><span class="ide-status-dot" style="background:{'var(--accent2)' if parm_ok else 'var(--dim)'}"></span>
topology {'loaded' if parm_ok else 'none'}</span>
<span><span class="ide-status-dot" style="background:{'var(--accent2)' if traj_ok else 'var(--dim)'}"></span>
trajectory {'loaded' if traj_ok else 'none'}</span>
</div>
</div>
""", unsafe_allow_html=True)
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# THREE-PANEL LAYOUT
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
left, center, right = st.columns([1.1, 2.4, 1.2], gap="small")
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# LEFT PANEL β Command Reference
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
with left:
kb = get_kb()
st.markdown("""
<div class="panel-hdr">
Command Reference
</div>
""", unsafe_allow_html=True)
search = st.text_input(
"search", placeholder="Search commandsβ¦",
label_visibility="collapsed",
key="left_search",
)
# Filter tabs
cat_options = ["all"] + kb.get_categories()
cat_cols = st.columns(len(cat_options))
for i, cat in enumerate(cat_options):
with cat_cols[i]:
label = cat.replace("Analysis","Analysis").replace("Manipulation","Action")[:6]
active = st.session_state.cmd_filter == cat
if st.button(
label,
key=f"ftab_{cat}",
type="primary" if active else "secondary",
use_container_width=True,
):
st.session_state.cmd_filter = cat
st.rerun()
# Build filtered list
if search:
results = kb.retrieve(search, top_k=15)
filtered = {r["key"]: r["doc"] for r in results}
elif st.session_state.cmd_filter != "all":
filtered = kb.get_by_category(st.session_state.cmd_filter)
else:
filtered = kb.get_all_commands()
cat_badge = {
"Analysis": "b-analysis",
"Setup": "b-input",
"Output": "b-output",
"Manipulation": "b-action",
"Mask Reference": "b-mask",
}
with st.container(height=520, border=False):
for cmd_key, doc in filtered.items():
badge_cls = cat_badge.get(doc["category"], "b-action")
is_sel = st.session_state.sel_cmd == cmd_key
bg = "background:var(--surface2);border-left:2px solid var(--accent);" if is_sel else ""
st.markdown(f"""
<div class="cmd-item {'sel' if is_sel else ''}" style="{bg}">
<div class="cmd-name">
{cmd_key}
<span class="badge {badge_cls}">{doc['category'][:5]}</span>
</div>
<div class="cmd-sub">{doc['description'][:60]}β¦</div>
</div>
""", unsafe_allow_html=True)
if st.button(f"Select {cmd_key}", key=f"sel_{cmd_key}",
use_container_width=True):
st.session_state.sel_cmd = cmd_key
st.rerun()
# ββ Script Templates ββ
st.markdown('<div class="panel-hdr" style="margin-top:4px">Script Templates</div>',
unsafe_allow_html=True)
for tk, tmpl in SCRIPT_TEMPLATES.items():
if st.button(tmpl["title"], key=f"tmpl_{tk}", use_container_width=True):
st.session_state.script = tmpl["script"]
st.session_state.center_mode = "editor"
st.rerun()
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# CENTER PANEL β Editor / AI Agent / Builder / Results
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
with center:
# ββ Mode bar ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
st.markdown('<div class="panel-hdr">Workspace</div>', unsafe_allow_html=True)
mode_cols = st.columns(4)
modes = [("editor", "β¨ Editor"), ("agent", "β¦ AI Agent"),
("builder", "β Builder"), ("results", "π Results")]
for i, (mkey, mlabel) in enumerate(modes):
with mode_cols[i]:
active = st.session_state.center_mode == mkey
if st.button(mlabel, key=f"mode_{mkey}", type="primary" if active else "secondary",
use_container_width=True):
st.session_state.center_mode = mkey
st.rerun()
# ββ EDITOR mode ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
if st.session_state.center_mode == "editor":
st.markdown("""
<div class="editor-bar">
<div class="file-tab">
<span class="file-tab-dot"></span>
analysis.cpptraj
</div>
</div>
""", unsafe_allow_html=True)
script_val = st.text_area(
"script_editor",
value=st.session_state.script,
height=400,
key="main_script_area",
label_visibility="collapsed",
)
if script_val is not None:
st.session_state.script = script_val
# Run bar
rb1, rb2, rb3, rb4 = st.columns([1, 1, 1, 2])
with rb1:
run_btn = st.button("βΆ Run", type="primary", use_container_width=True, key="run_editor")
with rb2:
if st.button("Clear", use_container_width=True, key="clear_editor"):
st.session_state.script = "parm topology.prmtop\ntrajin trajectory.nc\n\nautoimage\n\n\ngo\n"
st.rerun()
with rb3:
st.download_button("β¬ Save", data=st.session_state.script,
file_name="analysis.cpptraj", mime="text/plain",
use_container_width=True, key="dl_script")
with rb4:
lines = st.session_state.script.count("\n") + 1
st.markdown(f"""
<div style="font-family:'JetBrains Mono',monospace;font-size:11px;
color:var(--muted);padding:8px 4px;text-align:right">
{lines} lines | CPPTRAJ SCRIPT
</div>""", unsafe_allow_html=True)
if run_btn:
if not runner.is_cpptraj_available():
st.error("cpptraj not found on PATH. Install it or set CPPTRAJ_PATH.")
else:
script_to_run = st.session_state.script
if st.session_state.parm_path or st.session_state.traj_paths:
script_to_run = runner.inject_paths_into_script(
script_to_run,
Path(st.session_state.parm_path) if st.session_state.parm_path else None,
[Path(p) for p in st.session_state.traj_paths],
)
with st.spinner("Running cpptrajβ¦"):
result = runner.run_script(script_to_run)
st.session_state.last_result = result
# Terminal output
result = st.session_state.last_result
if result:
status_color = "var(--accent2)" if result["success"] else "var(--accent3)"
status_text = "DONE" if result["success"] else "ERROR"
st.markdown(f"""
<div class="t-hdr">
Output Terminal
<span style="color:{status_color}">β {status_text}
Β· {result['elapsed']:.1f}s</span>
</div>
""", unsafe_allow_html=True)
with st.container(height=180, border=False):
if result["stdout"]:
# Colorize terminal output
lines_out = []
for l in result["stdout"].splitlines()[:120]:
if "Error" in l or "ERROR" in l:
cls = "t-error"
elif "Warning" in l or "WARNING" in l:
cls = "t-warn"
elif l.strip().startswith("CPPTRAJ") or "frames" in l.lower():
cls = "t-data"
elif l.strip().startswith("#"):
cls = "t-info"
else:
cls = "t-success"
lines_out.append(f'<span class="t-line {cls}">{l}</span>')
st.markdown(
f'<div class="terminal" style="height:160px;padding:10px 14px">'
+ "\n".join(lines_out)
+ "</div>",
unsafe_allow_html=True,
)
if result["stderr"]:
with st.expander("stderr", expanded=not result["success"]):
st.code(result["stderr"][:2000], language="text")
out_files = result.get("output_files", [])
if out_files:
st.markdown(
f'<div style="font-size:11px;color:var(--accent);font-family:JetBrains Mono,monospace;padding:4px 0">'
f'Output files: {", ".join(f.name for f in out_files)}'
f'</div>',
unsafe_allow_html=True,
)
else:
st.markdown("""
<div class="terminal" style="height:80px">
<div class="empty-terminal" style="color:var(--muted);font-size:12px;
padding:18px;text-align:center;font-family:JetBrains Mono,monospace">
cpptraj IDE ready β write a script and click βΆ Run
</div>
</div>
""", unsafe_allow_html=True)
# ββ AI AGENT mode ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
elif st.session_state.center_mode == "agent":
if not st.session_state.api_key:
st.markdown("""
<div style="padding:16px;background:rgba(247,129,102,.1);
border:1px solid var(--accent3);border-radius:8px;
font-size:13px;color:var(--accent3);margin:10px 0">
β Anthropic API key required. Enter it in the right panel.
</div>""", unsafe_allow_html=True)
# Quick prompt chips
quick = [
"RMSD of backbone vs first frame",
"Full analysis: RMSD + RMSF + Rg + H-bonds",
"Cluster trajectory into 5 structures",
"Hydrogen bonds proteinβligand",
"SASA over time",
"PCA β first 3 modes",
]
chips_html = "".join(
f'<button class="chip" onclick="void(0)" id="chip_{i}">{q}</button>'
for i, q in enumerate(quick)
)
st.markdown(f'<div class="chip-row">{chips_html}</div>', unsafe_allow_html=True)
qcols = st.columns(3)
for i, qp in enumerate(quick):
with qcols[i % 3]:
if st.button(qp, key=f"qp_{i}", use_container_width=True):
st.session_state["_pending"] = qp
st.rerun()
pending = st.session_state.get("_pending")
if pending:
del st.session_state["_pending"]
# Chat history
with st.container(height=390, border=False):
if not st.session_state.chat_history:
st.markdown("""
<div style="text-align:center;padding:40px 20px;color:var(--muted)">
<div style="font-size:36px;margin-bottom:12px">β¦</div>
<div style="font-size:13px">Describe your analysis in plain English.<br>
The agent will write and run the cpptraj script for you.</div>
</div>""", unsafe_allow_html=True)
for msg in st.session_state.chat_history:
role = msg["role"]
content = msg["content"]
if role == "user" and "## User Request\n" in content:
content = content.split("## User Request\n", 1)[1]
with st.chat_message(role):
st.markdown(content)
for tc in msg.get("tool_calls", []):
with st.expander(f"β `{tc['tool']}`", expanded=False):
if "script" in tc["input"]:
st.code(tc["input"]["script"], language="bash")
else:
st.json(tc["input"])
st.caption("Result:")
st.code(tc["result"][:2000], language="text")
# Clear
if st.button("Clear conversation", key="clear_chat"):
st.session_state.chat_history = []
if st.session_state.agent:
st.session_state.agent.reset_conversation()
st.rerun()
# Chat input
user_input = st.chat_input("Ask the AI agentβ¦", key="agent_chat_input")
if pending:
user_input = pending
if user_input and st.session_state.api_key:
with st.chat_message("user"):
st.markdown(user_input)
st.session_state.chat_history.append({"role": "user", "content": user_input})
with st.chat_message("assistant"):
with st.spinner("Thinkingβ¦"):
try:
agent = get_agent()
resp, tool_log = agent.chat(user_input)
except Exception as e:
resp = f"Error: {e}"
tool_log = []
st.markdown(resp)
for tc in tool_log:
with st.expander(f"β `{tc['tool']}`", expanded=False):
if "script" in tc["input"]:
st.code(tc["input"]["script"], language="bash")
else:
st.json(tc["input"])
st.caption("Result:")
st.code(tc["result"][:2000], language="text")
st.session_state.chat_history.append({
"role": "assistant", "content": resp, "tool_calls": tool_log
})
st.rerun()
# ββ BUILDER mode βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
elif st.session_state.center_mode == "builder":
st.markdown('<div class="panel-hdr">Script Builder β GUI Configuration</div>',
unsafe_allow_html=True)
parm_name = Path(st.session_state.parm_path).name if st.session_state.parm_path else "topology.prmtop"
traj_name = Path(st.session_state.traj_paths[0]).name if st.session_state.traj_paths else "trajectory.nc"
with st.container(height=600, border=False):
c1, c2 = st.columns(2)
with c1:
pf = st.text_input("Topology file", value=parm_name, key="b_pf")
tf = st.text_input("Trajectory file", value=traj_name, key="b_tf")
ai = st.checkbox("autoimage", value=True, key="b_ai")
cen = st.checkbox("center !:WAT origin", value=True, key="b_cen")
with c2:
st.markdown('<div style="font-size:11px;color:var(--muted);margin-bottom:4px">Atom mask quick-insert</div>', unsafe_allow_html=True)
masks = ["@CA", "@CA,C,N,O", "!:WAT", ":1-100@CA", ":LIG<:5.0"]
for m in masks:
st.code(m, language="text")
st.divider()
ra, rb = st.columns(2)
with ra:
do_rmsd = st.checkbox("RMSD", value=True, key="b_rmsd")
rmsd_mask = st.text_input("RMSD mask", "@CA,C,N,O", key="b_rmask")
rmsd_ref = st.selectbox("Ref", ["first","ref file"], key="b_rref")
rmsd_out = st.text_input("Output", "rmsd.dat", key="b_rout")
do_perres = st.checkbox("Per-residue RMSD", key="b_perres")
do_rmsf = st.checkbox("RMSF", key="b_rmsf")
rmsf_mask= st.text_input("RMSF mask", "@CA", key="b_rmsfm")
rmsf_out = st.text_input("Output", "rmsf.dat", key="b_rmsfo")
do_rg = st.checkbox("Radius of Gyration", key="b_rg")
rg_mask= st.text_input("Rg mask", "!:WAT", key="b_rgm")
rg_out = st.text_input("Output", "rg.dat", key="b_rgo")
with rb:
do_hb = st.checkbox("Hydrogen Bonds", key="b_hb")
hb_mask = st.text_input("H-bond mask", "!:WAT", key="b_hbm")
hb_dist = st.slider("Dist cutoff Γ
", 2.5, 4.5, 3.5, 0.1, key="b_hbd")
hb_ang = st.slider("Angle cutoff Β°", 100, 170, 135, 5, key="b_hba")
hb_out = st.text_input("Output", "hbond.dat", key="b_hbo")
do_ss = st.checkbox("Secondary Structure", key="b_ss")
ss_out= st.text_input("Output", "secstruct.dat", key="b_sso")
do_cl = st.checkbox("Clustering", key="b_cl")
cl_mask= st.text_input("Cluster mask", "@CA", key="b_clm")
cl_algo= st.selectbox("Algorithm", ["hieragglo","kmeans","dbscan"], key="b_cla")
cl_eps = st.number_input("Epsilon Γ
/ K", value=2.0, step=0.5, key="b_cle")
cl_k = st.number_input("K clusters", 5, min_value=2, key="b_clk")
do_dist = st.checkbox("Distance", key="b_dist")
d_m1 = st.text_input("Mask 1", ":1@CA", key="b_dm1")
d_m2 = st.text_input("Mask 2", ":100@CA", key="b_dm2")
d_out= st.text_input("Output", "distance.dat", key="b_do")
# Generate script
lines = [f"parm {pf}", f"trajin {tf}", ""]
if ai: lines.append("autoimage")
if cen: lines.append("center !:WAT origin")
if ai or cen: lines.append("")
if do_rmsd:
rs = "first" if rmsd_ref == "first" else "ref native.pdb"
pr = " perres perresout perres_rmsd.dat" if do_perres else ""
lines += [f"rmsd backbone {rmsd_mask} {rs} out {rmsd_out}{pr}", ""]
if do_rmsf:
lines += [f"atomicfluct rmsf {rmsf_mask} byres out {rmsf_out}", ""]
if do_rg:
lines += [f"radgyr rg {rg_mask} mass out {rg_out}", ""]
if do_hb:
lines += [f"hbond hbonds {hb_mask} dist {hb_dist:.1f} angle {hb_ang} out {hb_out} avgout hbond_avg.dat", ""]
if do_ss:
lines += [f"secstruct ss out {ss_out} sumout secstruct_sum.dat", ""]
if do_cl:
if cl_algo == "hieragglo": algo = f"hieragglo epsilon {cl_eps}"
elif cl_algo == "kmeans": algo = f"kmeans clusters {int(cl_k)}"
else: algo = f"dbscan minpoints 5 epsilon {cl_eps}"
lines += [f"cluster clusters {cl_mask} {algo} sieve 10 out cluster_assign.dat summary cluster_sum.dat repout cluster_rep repfmt pdb", ""]
if do_dist:
lines += [f"distance dist {d_m1} {d_m2} out {d_out}", ""]
lines.append("go")
built = "\n".join(lines)
st.markdown('<div class="panel-hdr">Generated Script</div>', unsafe_allow_html=True)
st.code(built, language="bash")
bb1, bb2 = st.columns(2)
with bb1:
if st.button("Load into Editor", use_container_width=True):
st.session_state.script = built
st.session_state.center_mode = "editor"
st.rerun()
with bb2:
if st.button("βΆ Run Now", type="primary", use_container_width=True):
if runner.is_cpptraj_available():
with st.spinner("Runningβ¦"):
result = runner.run_script(built)
st.session_state.last_result = result
msg = f"β Done in {result['elapsed']:.1f}s" if result["success"] else "β Error"
(st.success if result["success"] else st.error)(msg)
else:
st.error("cpptraj not found.")
# ββ RESULTS mode βββββββββββββββββββββββββββββββββββββββββββββββββββββββ
elif st.session_state.center_mode == "results":
st.markdown('<div class="panel-hdr">Results Viewer</div>', unsafe_allow_html=True)
out_files = runner.list_output_files()
if st.button("β³ Refresh", key="res_refresh"):
st.rerun()
if not out_files:
st.markdown("""
<div style="text-align:center;padding:60px 20px;color:var(--muted)">
<div style="font-size:32px;margin-bottom:10px">π</div>
<div style="font-size:13px">No output files yet.<br>Run an analysis to see results here.</div>
</div>""", unsafe_allow_html=True)
else:
# File pills
pills = "".join(
f'<span class="fitem-type" style="margin:2px;padding:4px 10px;font-size:11px">{f.name}</span>'
for f in out_files
)
st.markdown(f'<div style="padding:8px 0;display:flex;flex-wrap:wrap;gap:4px">{pills}</div>',
unsafe_allow_html=True)
sel_f = st.selectbox(
"Select file to view/plot",
[f.name for f in out_files],
key="res_sel",
label_visibility="collapsed",
)
if sel_f:
fp = runner.work_dir / sel_f
content = fp.read_text(errors="replace")
t_raw, t_plot = st.tabs(["Raw Data", "Interactive Plot"])
with t_raw:
st.code(content[:4000], language="text")
st.download_button("β¬ Download", data=content,
file_name=sel_f, key="res_dl")
with t_plot:
plot_file(fp, content, key_pfx="results")
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# RIGHT PANEL β Files + Command Detail
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
with right:
# ββ API key ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
st.markdown('<div class="panel-hdr">API Key</div>', unsafe_allow_html=True)
api_in = st.text_input(
"api_key", type="password",
placeholder="sk-ant-api03-β¦",
value=st.session_state.api_key,
label_visibility="collapsed",
key="api_key_input",
)
if api_in != st.session_state.api_key:
st.session_state.api_key = api_in
st.session_state.agent = None
# ββ File Upload ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
st.markdown('<div class="panel-hdr" style="margin-top:6px">Project Files</div>',
unsafe_allow_html=True)
parm_up = st.file_uploader(
"Topology (.prmtop .psf .gro)",
type=["prmtop","parm7","psf","pdb","gro","mol2"],
key="parm_up",
label_visibility="visible",
)
if parm_up:
saved = runner.save_uploaded_file(parm_up)
st.session_state.parm_path = str(saved)
get_agent().set_files(saved, [Path(p) for p in st.session_state.traj_paths])
st.success(f"Saved: {saved.name}")
traj_up = st.file_uploader(
"Trajectory (.nc .dcd .xtc .trr)",
type=["nc","ncdf","dcd","xtc","trr","crd","mdcrd"],
accept_multiple_files=True,
key="traj_up",
label_visibility="visible",
)
if traj_up:
saved_trajs = []
for f in traj_up:
s = runner.save_uploaded_file(f)
saved_trajs.append(str(s))
st.session_state.traj_paths = saved_trajs
pf = Path(st.session_state.parm_path) if st.session_state.parm_path else None
get_agent().set_files(pf, [Path(p) for p in saved_trajs])
st.success(f"{len(saved_trajs)} trajectory file(s) loaded")
# Show loaded files
if st.session_state.parm_path or st.session_state.traj_paths:
all_files = []
if st.session_state.parm_path:
p = Path(st.session_state.parm_path)
size = p.stat().st_size / 1024
all_files.append((p.name, p.suffix[1:].upper(), f"{size:.0f} KB", "π§¬"))
for tp in st.session_state.traj_paths:
p = Path(tp)
size = p.stat().st_size / 1024
all_files.append((p.name, p.suffix[1:].upper(), f"{size:.0f} KB", "ποΈ"))
fhtml = ""
for name, ext, sz, icon in all_files:
fhtml += f"""
<div class="fitem">
<span style="font-size:16px">{icon}</span>
<div style="flex:1;overflow:hidden">
<div class="fitem-name">{name}</div>
<div class="fitem-meta">{ext} Β· {sz}</div>
</div>
</div>"""
st.markdown(fhtml, unsafe_allow_html=True)
# ββ Command Detail βββββββββββββββββββββββββββββββββββββββββββββββββββββ
st.markdown('<div class="panel-hdr" style="margin-top:6px">Command Detail</div>',
unsafe_allow_html=True)
sel_key = st.session_state.sel_cmd
if not sel_key:
st.markdown("""
<div style="text-align:center;padding:30px 20px;color:var(--muted)">
<div style="font-size:32px;margin-bottom:8px">⬑</div>
<div style="font-size:12px">Click a command in the left panel<br>to see its full documentation</div>
</div>""", unsafe_allow_html=True)
else:
doc = kb.get_command(sel_key)
if doc:
with st.container(height=480, border=False):
st.markdown(f"""
<div class="detail-box" style="height:100%">
<div class="detail-cmd">{sel_key}</div>
<div class="detail-cat">{doc['category']} command</div>
<div class="detail-desc">{doc['description']}</div>
<div class="sect-title">Syntax</div>
<div class="syntax-box">{doc.get('syntax','N/A')}</div>
""", unsafe_allow_html=True)
if doc.get("parameters"):
st.markdown('<div class="sect-title" style="margin-top:10px">Options</div>',
unsafe_allow_html=True)
for p in doc["parameters"]:
req = "(required)" if p.get("req") else ""
st.markdown(
f'<div class="opt-row">'
f'<div class="opt-key">{p["name"]}</div>'
f'<div class="opt-val">{p["desc"]} '
f'<span style="color:var(--accent4);font-size:9px">{req}</span></div>'
f'</div>',
unsafe_allow_html=True,
)
if doc.get("examples"):
st.markdown('<div class="sect-title" style="margin-top:10px">Examples</div>',
unsafe_allow_html=True)
for ex in doc["examples"][:2]:
st.markdown(f'<div class="example-box">{ex}</div>',
unsafe_allow_html=True)
if doc.get("notes"):
st.markdown(
f'<div style="margin-top:10px;font-size:11px;color:var(--muted);'
f'line-height:1.5;padding:8px;background:rgba(88,166,255,.05);'
f'border:1px solid rgba(88,166,255,.2);border-radius:6px">'
f'π‘ {doc["notes"]}</div>',
unsafe_allow_html=True,
)
# Insert into editor button
if doc.get("examples"):
if st.button("β Insert example into Editor",
key=f"ins_{sel_key}", use_container_width=True):
ex = doc["examples"][0]
st.session_state.script = (
f"parm topology.prmtop\ntrajin trajectory.nc\n\nautoimage\n\n"
f"# {doc['title']}\n{ex}\n\ngo\n"
)
st.session_state.center_mode = "editor"
st.rerun()
st.markdown("</div>", unsafe_allow_html=True)
# ββ Mask cheat sheet βββββββββββββββββββββββββββββββββββββββββββββββββββ
with st.expander("Atom Mask Cheat Sheet"):
masks_ref = [
(":1", "Residue 1"),
(":1-100", "Residues 1β100"),
(":ALA", "All alanines"),
("@CA", "All CΞ± atoms"),
("@CA,C,N,O", "Backbone atoms"),
("!:WAT", "Exclude water"),
(":1-50&@CA", "CΞ± of res 1β50"),
(":LIG<:5.0", "Within 5Γ
of LIG"),
("@/C", "All carbons"),
]
html = "".join(
f'<div style="display:flex;gap:8px;padding:3px 0;font-size:11px">'
f'<span style="font-family:JetBrains Mono,monospace;color:var(--option);min-width:90px">{m}</span>'
f'<span style="color:var(--muted)">{d}</span></div>'
for m, d in masks_ref
)
st.markdown(html, unsafe_allow_html=True)
|