File size: 9,661 Bytes
528c0e7
 
 
 
 
 
6f394c8
 
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1fe6197
 
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1fe6197
 
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1fe6197
528c0e7
 
def6b42
 
b4446ee
def6b42
 
6fb309c
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
b4446ee
 
 
 
 
 
 
 
 
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1fe6197
 
 
528c0e7
1fe6197
528c0e7
1fe6197
528c0e7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1fe6197
528c0e7
 
cfdb2f8
 
 
eeae578
cfdb2f8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
528c0e7
 
cfdb2f8
d45fbdd
528c0e7
cfdb2f8
 
 
528c0e7
cfdb2f8
 
 
 
 
 
 
 
528c0e7
 
1fe6197
 
 
 
 
 
 
 
528c0e7
 
 
 
 
 
 
 
1fe6197
528c0e7
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
from datetime import datetime
import json
import os
import time
from pathlib import Path

import streamlit as st

from utils import (
    load_json,
    load_json_no_cache,
    parse_arguments,
    format_chat_message,
    find_screenshot,
    gather_chat_history,
    get_screenshot,
    load_page,
)


def show_selectbox(demonstration_dir):
    # find all the subdirectories in the current directory
    dirs = [
        d
        for d in os.listdir(demonstration_dir)
        if os.path.isdir(f"{demonstration_dir}/{d}")
    ]

    if not dirs:
        st.title("No recordings found.")
        return None

    # sort by date
    dirs.sort(key=lambda x: os.path.getmtime(f"{demonstration_dir}/{x}"), reverse=True)

    # offer the user a dropdown to select which recording to visualize, set a default
    recording_name = st.sidebar.selectbox("Recording", dirs, index=0)

    return recording_name


def show_overview(data, recording_name, basedir):
    st.title('[WebLINX](https://mcgill-nlp.github.io/weblinx) Explorer')
    st.header(f"Recording: `{recording_name}`")

    screenshot_size = st.session_state.get("screenshot_size_view_mode", "regular")
    show_advanced_info = st.session_state.get("show_advanced_information", False)

    if screenshot_size == "regular":
        col_layout = [1.5, 1.5, 7, 3.5]
    elif screenshot_size == "small":
        col_layout = [1.5, 1.5, 7, 2]
    else:  # screenshot_size == 'large'
        col_layout = [1.5, 1.5, 11]

    # col_i, col_time, col_act, col_actvis = st.columns(col_layout)
    # screenshots = load_screenshots(data, basedir)

    for i, d in enumerate(data):
        if i > 0 and show_advanced_info:
            # Use html to add a horizontal line with minimal gap
            st.markdown(
                "<hr style='margin-top: 0.1rem; margin-bottom: 0.1rem;'/>",
                unsafe_allow_html=True,
            )
        if screenshot_size == "large":
            col_time, col_i, col_act = st.columns(col_layout)
            col_actvis = col_act
        else:
            col_time, col_i, col_act, col_actvis = st.columns(col_layout)
        secs_from_start = d["timestamp"] - data[0]["timestamp"]
        # `secs_from_start` is a float including ms, display in MM:SS.mm format
        col_time.markdown(
            f"**{datetime.utcfromtimestamp(secs_from_start).strftime('%M:%S')}**"
        )
        
        if not st.session_state.get("enable_html_download", True):
            col_i.markdown(f"**#{i}**")
        
        elif d["type"] == "browser" and (page_filename := d["state"]["page"]):
            page_path = f"{basedir}/pages/{page_filename}"

            col_i.download_button(
                label="#" + str(i),
                data=load_page(page_path),
                file_name=recording_name + "-" + page_filename,
                mime="multipart/related",
                key=f"page{i}",
            )
        else:
            col_i.button(f"#{i}", type='secondary')

        if d["type"] == "chat":
            col_act.markdown(format_chat_message(d), unsafe_allow_html=True)
            continue

        # screenshot_filename = d["state"]["screenshot"]
        img = get_screenshot(d, basedir)
        arguments = parse_arguments(d["action"])
        event_type = d["action"]["intent"]

        action_str = f"**{event_type}**({arguments})"

        if img:
            col_actvis.image(img)
        
        col_act.markdown(action_str)

        if show_advanced_info:
            status = d["state"].get("screenshot_status", "unknown")

            text = ""
            if status == "good":
                text += f'**:green[Used in demo]**\n\n'
            text += f'Screenshot: `{d["state"]["screenshot"]}`\\\n'
            text += f'Page: `{d["state"]["page"]}`\n'

            col_act.markdown(text)


def load_recording(basedir):
    # Before loading replay, we need a dropdown that allows us to select replay.json or replay_orig.json
    # Find all files in basedir starting with "replay" and ending with ".json"
    replay_files = sorted(
        [
            f
            for f in os.listdir(basedir)
            if f.startswith("replay") and f.endswith(".json")
        ]
    )
    replay_file = st.sidebar.selectbox("Select replay", replay_files, index=0)
    st.sidebar.checkbox(
        "Advanced Screenshot Info", False, key="show_advanced_information"
    )
    st.sidebar.checkbox(
        "Enable HTML download", False, key="enable_html_download"
    )
    replay_file = replay_file.replace(".json", "")
    
    if not Path(basedir).joinpath('metadata.json').exists():
        st.error(f"Metadata file not found at {basedir}/metadata.json. This is likely an issue with Huggingface Spaces. Try cloning this repo and running locally.")
        st.stop()
    
    metadata = load_json_no_cache(basedir, "metadata")

    # convert timestamp to readable date string
    recording_start_timestamp = metadata["recordingStart"]
    recording_start_date = datetime.fromtimestamp(
        int(recording_start_timestamp) / 1000
    ).strftime("%Y-%m-%d %H:%M:%S")
    st.sidebar.markdown(f"**started**: {recording_start_date}")

    # recording_end_timestamp = k["recordingEnd"]
    # calculate duration
    # duration = int(recording_end_timestamp) - int(recording_start_timestamp)
    # duration = time.strftime("%M:%S", time.gmtime(duration / 1000))

    # Read in the JSON data
    replay_dict = load_json_no_cache(basedir, replay_file)
    form = load_json_no_cache(basedir, "form")
    
    if replay_dict is None:
        st.error(f"Replay file not found at {basedir}/{replay_file}. This is likely an issue with Huggingface Spaces. Try cloning this repo and running locally.")
        st.stop()
    
    if form is None:
        st.error(f"Form file not found at {basedir}/form.json. This is likely an issue with Huggingface Spaces. Try cloning this repo and running locally.")
        st.stop()

    duration = replay_dict["data"][-1]["timestamp"] - replay_dict["data"][0]["timestamp"]
    duration = time.strftime("%M:%S", time.gmtime(duration))
    st.sidebar.markdown(f"**duration**: {duration}")

    if not replay_dict:
        return None

    for key in [
        "annotator",
        "description",
        "tasks",
        "upload_date",
        "instructor_sees_screen",
        "uses_ai_generated_output",
    ]:
        if form and key in form:
            # Normalize the key to be more human-readable
            key_name = key.replace("_", " ").title()

            if type(form[key]) == list:
                st.sidebar.markdown(f"**{key_name}**: {', '.join(form[key])}")
            else:
                st.sidebar.markdown(f"**{key_name}**: {form[key]}")

    st.sidebar.markdown("---")
    if replay_dict and "status" in replay_dict:
        st.sidebar.markdown(f"**Validation status**: {replay_dict['status']}")
    
    processed_meta_path = Path(basedir).joinpath('processed_metadata.json')
    start_frame = 'file not found'
    
    if processed_meta_path.exists():
        with open(processed_meta_path) as f:
            processed_meta = json.load(f)
        start_frame = processed_meta.get('start_frame', 'info not in file')
    
    st.sidebar.markdown(f"**Recording start frame**: {start_frame}")
    
    
    # st.sidebar.button("Delete recording", type="primary", on_click=delete_recording, args=[basedir])

    data = replay_dict["data"]
    return data


def run():
    # mode = st.sidebar.radio("Mode", ["Overview"])
    demonstration_dir = "./demonstrations"

    # # params = st.experimental_get_query_params()
    # params = st.query_params
    # print(params)
    
    # # list demonstrations/
    # demo_names = os.listdir(demonstration_dir)

    # if params.get("recording"):
    #     if isinstance(params["recording"], list):
    #         recording_name = params["recording"][0]
    #     else:
    #         recording_name = params["recording"]

    # else:
    #     recording_name = demo_names[0]
    
    # recording_name = st.sidebar.selectbox(
    #     "Recordings",
    #     demo_names,
    #     index=demo_names.index(recording_name),
    # )

    # if recording_name != params.get("recording", [None])[0]:
    #     # st.experimental_set_query_params(recording=recording_name)
    #     # use st.query_params as a dict instead
    #     st.query_params['recording'] = recording_name


    demo_names = os.listdir(demonstration_dir)

    def update_recording_name():
        st.query_params["recording"] = st.session_state.get("recording_name", demo_names[0])

    # For initial run, set the query parameter to the selected recording
    if not st.query_params.get("recording"):
        update_recording_name()
    
    recording_name = st.query_params.get("recording")
    if recording_name not in demo_names:
        st.error(f"Recording `{recording_name}` not found. Please select another recording.")
        st.stop()
    
    recording_idx = demo_names.index(recording_name)
    st.sidebar.selectbox(
        "Recordings", demo_names, on_change=update_recording_name, key="recording_name", index=recording_idx
    )

    with st.sidebar:
        # Want a dropdown
        st.selectbox(
            "Screenshot size",
            ["small", "regular", "large"],
            index=1,
            key="screenshot_size_view_mode",
        )

    if recording_name is not None:
        basedir = f"{demonstration_dir}/{recording_name}"
        data = load_recording(basedir=basedir)

        if not data:
            st.stop()

        show_overview(data, recording_name=recording_name, basedir=basedir)


if __name__ == "__main__":
    st.set_page_config(layout="wide")
    run()