Spaces:
Runtime error
Runtime error
File size: 10,390 Bytes
e67043b |
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 |
from .utils import *
import pandas as pd
import requests
import json
from ...tool import Tool
def build_tool(config) -> Tool:
tool = Tool(
"Search in Wikidata",
"answering factual questions in wikidata.",
description_for_model="Plugin for answering factual questions in wikidata.",
logo_url="https://your-app-url.com/.well-known/logo.png",
contact_email="[email protected]",
legal_info_url="[email protected]",
)
sparql = Slot2Sparql()
@tool.get("/find_entity")
def find_entity(input):
"""Find all <r, t> that has the relation <input, r, t>. It looks like viewing the main page of the input entity. The result is a table."""
try:
sparqlIdx = -1
if input[0] == "#":
input = {"id": int(input[1:]), "attr": "tmp"}
elif input[0] == "Q":
input = {"id": input, "attr": "wd"}
elif input[0] == "P":
input = {"id": input, "attr": "wdt"}
elif input[0] == "@":
input = {"id": input[1:], "attr": "wds"}
else:
input = {"id": input, "attr": "val"}
sparql.find_entity(input)
sparqlIdx = len(sparql.select_lst) - 1
query, ids = sparql.give_str(sparqlIdx)
query += "\nLIMIT 2000"
ids = ["#" + str(id["id"]) for id in ids]
result = getResult(query)
variable_name = [
enc(sparql.select_lst[sparqlIdx].state[-1][1])[1:],
enc(sparql.select_lst[sparqlIdx].state[-1][2])[1:],
enc(sparql.select_lst[sparqlIdx].state[-1][3])[1:],
]
response = [{} for i in range(0, len(result))]
print("RESULT:", result)
for idx, re in enumerate(result):
response[idx].update(
get_property_details(re[variable_name[0]]["value"])
if re[variable_name[0]]["type"] == "uri"
else {
"relation": "",
"relationLabel": re[variable_name[0]]["value"],
"relationDescription": "",
# 'propuri': ''
}
)
response[idx].update(
{
"tail": re[variable_name[1]]["value"].split("/")[-1]
if re[variable_name[1]]["type"] == "uri"
else "",
"tailLabel": re.get(variable_name[1] + "Label", {"value": ""})[
"value"
]
if re[variable_name[1]]["type"] == "uri"
else re[variable_name[1]]["value"],
"tailDescription": re.get(
variable_name[1] + "Description", {"value": ""}
)["value"],
# 'tailuri': re[variable_name[1]]['value'] if re[variable_name[1]]['type'] == 'uri' else '',
# 'tailtype': 'uri' if re[variable_name[1]]['type'] == 'uri' else re[variable_name[1]].get('datatype', '')
}
)
if variable_name[2] in re:
response[idx].update(
{
"time": re.get(variable_name[2] + "Label", {"value": ""})[
"value"
]
if re[variable_name[2]]["type"] == "uri"
else re[variable_name[2]]["value"],
}
)
else:
response[idx].update({"time": "ALWAYS"})
df = pd.DataFrame.from_dict(response)
return df.to_markdown()
except Exception:
print("Invalid option!\n", Exception)
return df.to_markdown()
@tool.get("/find_entity_by_tail")
def find_entity_by_tail(input: str):
"""Find all <h, r> that has the relation <h, r, input>. It looks like viewing the reverse main page of the input entity. The result is a table."""
try:
sparqlIdx = -1
if input[0] == "#":
input = {"id": int(input[1:]), "attr": "tmp"}
elif input[0] == "Q":
input = {"id": input, "attr": "wd"}
elif input[0] == "P":
input = {"id": input, "attr": "wdt"}
elif input[0] == "@":
input = {"id": input[1:], "attr": "wds"}
else:
input = {"id": input, "attr": "val"}
sparql.find_entity_by_tail(input)
sparqlIdx = len(sparql.select_lst) - 1
query, ids = sparql.give_str(sparqlIdx)
query += "\nLIMIT 2000"
ids = ["#" + str(id["id"]) for id in ids]
result = getResult(query)
variable_name = [
enc(sparql.select_lst[sparqlIdx].state[-1][0])[1:],
enc(sparql.select_lst[sparqlIdx].state[-1][1])[1:],
]
response = [{} for i in range(0, len(result))]
for idx, re in enumerate(result):
response[idx].update(
get_property_details(re[variable_name[1]]["value"])
if re[variable_name[1]]["type"] == "uri"
else {
"relation": "",
"relationLabel": re[variable_name[1]]["value"],
"relationDescription": "",
# 'labelUri': ''
}
)
response[idx].update(
{
"head": re[variable_name[0]]["value"].split("/")[-1]
if re[variable_name[0]]["type"] == "uri"
else "",
"headLabel": re.get(variable_name[0] + "Label", {"value": ""})[
"value"
]
if re[variable_name[0]]["type"] == "uri"
else re[variable_name[0]]["value"],
"headDescription": re.get(
variable_name[0] + "Description", {"value": ""}
)["value"],
# 'headUri': re[variable_name[0]]['value'] if re[variable_name[0]]['type'] == 'uri' else '',
# 'headType': 'uri' if re[variable_name[0]]['type'] == 'uri' else re[variable_name[0]].get('datatype', '')
}
)
df = pd.DataFrame.from_dict(response)
return df.to_markdown()
except Exception:
print("Invalid option!\n", Exception)
return pd.DataFrame().to_markdown()
@tool.get("/get_entity_id")
def get_entity_id(input: str):
"""Search for all the entities that has the surface form as the input. For example, all the entities that are named ``Obama'', including either person, book, anything else."""
try:
result = requests.get(
"https://www.wikidata.org/w/api.php",
params={
"type": "item",
"action": "wbsearchentities",
"language": "en",
"search": input,
"origin": "*",
"format": "json",
},
).text
result = json.loads(result)["search"]
# print(result)
df = pd.DataFrame.from_dict(result)
for row in df.axes[1]:
if row != "id" and row != "label" and row != "description":
df.pop(row)
return df.to_markdown()
except Exception:
print("Invalid option!\n", Exception)
return pd.DataFrame().to_markdown()
@tool.get("/get_relation_id")
def get_relation_id(input: str):
"""Search for all the relations that has the surface form as the input. For example, all the relations that are named ``tax''."""
try:
result = requests.get(
"https://www.wikidata.org/w/api.php",
params={
"type": "property",
"action": "wbsearchentities",
"language": "en",
"search": input,
"origin": "*",
"format": "json",
},
).text
result = json.loads(result)["search"]
df = pd.DataFrame.from_dict(result)
for row in df.axes[1]:
if row != "id" and row != "label" and row != "description":
df.pop(row)
return df.to_markdown()
except Exception:
print("Invalid option!\n", Exception)
return pd.DataFrame().to_markdown()
@tool.get("/search_by_code")
def search_by_code(query: str):
"""After knowing the unique id of entity or relation, perform a sparql query. E.g.,
Select ?music\nWhere {{\nwd:Q00 wdt:P00 ?music.\n}} The entity label will be automatically retrieved.
"""
try:
query, basic_sel = convert_sparql_to_backend(query)
result = getResult(query)
for i in range(0, len(result)):
for sel in basic_sel:
if sel not in result[i]:
continue
if (
len(result[i][sel]["value"]) < 4
or result[i][sel]["value"][0:4] != "http"
):
continue
id = result[i][sel]["value"].split("/")[-1]
if type(id) == str and len(id) > 0 and id[0] == "P":
result[i].update(
convert(
get_property_details_with_name(
result[i][sel]["value"], sel
)
)
)
df = pd.DataFrame.from_dict(result)
return df.to_markdown()
except Exception:
print("Invalid option!\n", Exception)
return pd.DataFrame().to_markdown()
return tool
|