Spaces:
Sleeping
Sleeping
File size: 7,750 Bytes
014a313 8d4e903 285e23e bfc4cfe 6f6b7d0 014a313 285e23e 014a313 285e23e 6f6b7d0 285e23e 014a313 6f6b7d0 014a313 6f6b7d0 285e23e 6f6b7d0 285e23e 014a313 6f6b7d0 bfc4cfe 014a313 bfc4cfe 285e23e bfc4cfe 285e23e bfc4cfe 285e23e 6f6b7d0 014a313 285e23e bfc4cfe 285e23e 014a313 bfc4cfe 014a313 bfc4cfe 014a313 6f6b7d0 285e23e 6f6b7d0 285e23e bfc4cfe 014a313 6f6b7d0 bfc4cfe 285e23e bfc4cfe 6f6b7d0 014a313 285e23e bfc4cfe 6f6b7d0 014a313 6f6b7d0 bfc4cfe 8d4e903 014a313 6f6b7d0 014a313 285e23e 6f6b7d0 bfc4cfe 014a313 6f6b7d0 014a313 285e23e bfc4cfe 8d4e903 | 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 | import pandas as pd
import gradio as gr
import src.data_manager as dm
from datetime import datetime
def add_keyword(keyword, current_tags):
"""ํค์๋ ์ถ๊ฐ (์ฝค๋ง๋ก ๊ตฌ๋ถ๋ ์ฌ๋ฌ ํค์๋ ์ง์)"""
if not keyword:
return current_tags, "", ""
# ๊ธฐ์กด ํ๊ทธ ๋ฆฌ์คํธ ๊ฐ์ ธ์ค๊ธฐ
if current_tags:
tags_list = [tag.strip() for tag in current_tags.split(",") if tag.strip()]
else:
tags_list = []
# ์
๋ ฅ๋ ํค์๋๋ฅผ ์ฝค๋ง๋ก ๋ถํ ํ์ฌ ์ฒ๋ฆฌ
new_keywords = [kw.strip() for kw in keyword.split(",") if kw.strip()]
# ์ค๋ณต ํค์๋ ์ฒดํฌ
duplicate_keywords = []
added_keywords = []
for new_keyword in new_keywords:
if new_keyword:
if new_keyword in tags_list:
duplicate_keywords.append(new_keyword)
else:
tags_list.append(new_keyword)
added_keywords.append(new_keyword)
# ์ค๋ณต ํค์๋๊ฐ ์๋ ๊ฒฝ์ฐ ๊ฒฝ๊ณ ๋ฉ์์ง ํ์
if duplicate_keywords and not added_keywords:
# ๋ชจ๋ ํค์๋๊ฐ ์ค๋ณต์ธ ๊ฒฝ์ฐ
duplicate_list = ", ".join(duplicate_keywords)
return current_tags, "", f"โ ์ด๋ฏธ ์กด์ฌํ๋ ํค์๋์
๋๋ค: {duplicate_list}"
elif duplicate_keywords and added_keywords:
# ์ผ๋ถ ํค์๋๋ง ์ค๋ณต์ธ ๊ฒฝ์ฐ
duplicate_list = ", ".join(duplicate_keywords)
updated_tags = ", ".join(tags_list)
return (
updated_tags,
"",
f"โ ๏ธ ์ผ๋ถ ํค์๋๊ฐ ์ค๋ณต๋์ด ์ ์ธ๋์์ต๋๋ค: {duplicate_list}",
)
# ์
๋ฐ์ดํธ๋ ํ๊ทธ ๋ฆฌ์คํธ์ ๋น ํค์๋ ์
๋ ฅ ํ๋, ์ฑ๊ณต ๋ฉ์์ง ๋ฐํ
updated_tags = ", ".join(tags_list)
added_list = ", ".join(added_keywords)
return updated_tags, "", f"โ
ํค์๋๊ฐ ์ถ๊ฐ๋์์ต๋๋ค: {added_list}"
def create_node(title, description, tenant, tags):
"""์ฌ์ฉ์ ์
๋ ฅ์ผ๋ก ์ ๋
ธ๋ ์์ฑ"""
if not title or not description:
return (
"โ ํ๋ก์ ํธ ์ ๋ชฉ๊ณผ ์ค๋ช
์ ๋ชจ๋ ์
๋ ฅํด์ฃผ์ธ์.",
title,
description,
tenant,
"",
tags,
"",
)
# ํ
๋ํธ ํ์ ๊ฒ์ฆ
if not tenant:
return (
"โ ํ
๋ํธ(๊ทธ๋ฃน)๋ฅผ ์
๋ ฅํด์ฃผ์ธ์.",
title,
description,
tenant,
"",
tags,
"",
)
# ํ๊ทธ๋ฅผ ๋ฆฌ์คํธ๋ก ๋ณํ
tags_list = [tag.strip() for tag in tags.split(",") if tag.strip()] if tags else []
# ํค์๋ ํ์ ๊ฒ์ฆ
if not tags_list:
return (
"โ ํค์๋๋ฅผ ์ต์ 1๊ฐ ์ด์ ์
๋ ฅํด์ฃผ์ธ์!",
title,
description,
tenant,
"",
tags,
"",
)
new_node = {
"title": title,
"description": description,
"tenant": tenant.strip(),
"tags": tags_list,
"created_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
}
dm.nodes_data.append(new_node)
dm.save_nodes()
# ์ฑ๊ณต์ ๋ชจ๋ ํ๋ ์ด๊ธฐํ
return "โ
์ ๋
ธ๋๊ฐ ์ฑ๊ณต์ ์ผ๋ก ์์ฑ๋์์ต๋๋ค!", "", "", "", "", "", ""
def get_nodes_dataframe(search_text="", selected_tenants=None, selected_tags=None):
"""์ ์ฅ๋ ๋
ธ๋๋ค์ ๋ฐ์ดํฐํ๋ ์์ผ๋ก ๋ณํ (๋ค์ค ํํฐ ์ง์)"""
# ์ปฌ๋ผ๋ช
์ ์
columns = ["์์ฑ์ผ์", "๋
ธ๋ ์ด๋ฆ", "ํ
๋ํธ", "์ค๋ช
", "ํ๊ทธ"]
if not dm.nodes_data:
return pd.DataFrame(columns=columns)
# ํํฐ๋ง๋ ๋
ธ๋๋ค
filtered_nodes = []
for node in dm.nodes_data:
# ํ
์คํธ ๊ฒ์ ํํฐ (๋
ธ๋ ์ด๋ฆ์์ ๊ฒ์)
if search_text and search_text.lower() not in node["title"].lower():
continue
# ํ
๋ํธ ํํฐ
if selected_tenants and node.get("tenant", "๋ฏธ์ง์ ") not in selected_tenants:
continue
# ํ๊ทธ ํํฐ (์ ํ๋ ํ๊ทธ ์ค ํ๋๋ผ๋ ํฌํจ๋์ด์ผ ํจ)
if selected_tags:
node_tags = node.get("tags", [])
if not any(tag in node_tags for tag in selected_tags):
continue
filtered_nodes.append(
{
"์์ฑ์ผ์": node.get("created_at", "๋ฏธ์"),
"๋
ธ๋ ์ด๋ฆ": node["title"],
"ํ
๋ํธ": node.get("tenant", "๋ฏธ์ง์ "),
"์ค๋ช
": (
node["description"][:100] + "..."
if len(node["description"]) > 100
else node["description"]
),
"ํ๊ทธ": ", ".join(node.get("tags", [])),
}
)
# ํํฐ๋ง ๊ฒฐ๊ณผ๊ฐ ์์ด๋ ์ปฌ๋ผ๋ช
์ด ์ ์ง๋๋๋ก ๋น DataFrame ๋ฐํ
if not filtered_nodes:
return pd.DataFrame(columns=columns)
return pd.DataFrame(filtered_nodes)
def filter_nodes_multi(search_text, selected_tenants, selected_tags):
"""๋ค์ค ํํฐ๋ก ๋
ธ๋ ํํฐ๋ง"""
df = get_nodes_dataframe(search_text, selected_tenants, selected_tags)
return gr.update(value=df)
def get_all_tags():
"""๋ชจ๋ ๋
ธ๋์ ํ๊ทธ ๋ชฉ๋ก ๋ฐํ"""
all_tags = set()
for node in dm.nodes_data:
all_tags.update(node.get("tags", []))
return sorted(list(all_tags))
def get_all_tenants():
"""๋ชจ๋ ๋
ธ๋์ ํ
๋ํธ ๋ชฉ๋ก ๋ฐํ"""
all_tenants = set()
for node in dm.nodes_data:
tenant = node.get("tenant", "๋ฏธ์ง์ ")
if tenant:
all_tenants.add(tenant)
return sorted(list(all_tenants))
def refresh_nodes():
"""๋
ธ๋ ๋ชฉ๋ก ์๋ก๊ณ ์นจ"""
dm.load_nodes()
return get_nodes_dataframe(), get_all_tags(), get_all_tenants()
def get_node_details_by_index(index):
"""์ธ๋ฑ์ค๋ก ๋
ธ๋ ์์ธ ์ ๋ณด ๊ฐ์ ธ์ค๊ธฐ"""
if 0 <= index < len(dm.nodes_data):
node = dm.nodes_data[index]
return (
node.get("title", ""),
node.get("description", ""),
node.get("tenant", ""),
", ".join(node.get("tags", [])),
node.get("created_at", ""),
)
return ("๋
ธ๋๋ฅผ ์ ํํด์ฃผ์ธ์.", "", "", "", "")
def update_node(index, title, description, tenant, tags_str):
"""๋
ธ๋ ์ ๋ณด ์
๋ฐ์ดํธ"""
if not title or not description:
return "โ ๋
ธ๋ ์ ๋ชฉ๊ณผ ์ค๋ช
์ ๋ชจ๋ ์
๋ ฅํด์ฃผ์ธ์.", get_nodes_dataframe()
if not tenant:
return "โ ํ
๋ํธ๋ฅผ ์
๋ ฅํด์ฃผ์ธ์.", get_nodes_dataframe()
# ํ๊ทธ๋ฅผ ๋ฆฌ์คํธ๋ก ๋ณํ
tags_list = (
[tag.strip() for tag in tags_str.split(",") if tag.strip()] if tags_str else []
)
if not tags_list:
return "โ ํ๊ทธ๋ฅผ ์ต์ 1๊ฐ ์ด์ ์
๋ ฅํด์ฃผ์ธ์.", get_nodes_dataframe()
if 0 <= index < len(dm.nodes_data):
dm.nodes_data[index].update(
{
"title": title,
"description": description,
"tenant": tenant.strip(),
"tags": tags_list,
}
)
dm.save_nodes()
return "โ
๋
ธ๋๊ฐ ์ฑ๊ณต์ ์ผ๋ก ์์ ๋์์ต๋๋ค.", get_nodes_dataframe()
return "โ ์์ ํ ๋
ธ๋๋ฅผ ์ฐพ์ ์ ์์ต๋๋ค.", get_nodes_dataframe()
def delete_node(index):
"""๋
ธ๋ ์ญ์ """
if 0 <= index < len(dm.nodes_data):
deleted_node = dm.nodes_data.pop(index)
dm.save_nodes()
return (
f"๋
ธ๋ '{deleted_node.get('title', '์ ์ ์์')}'๊ฐ ์ญ์ ๋์์ต๋๋ค.",
get_nodes_dataframe(),
)
return "โ ์ญ์ ํ ๋
ธ๋๋ฅผ ์ฐพ์ ์ ์์ต๋๋ค.", get_nodes_dataframe()
|