-
Notifications
You must be signed in to change notification settings - Fork 6
/
__init__.py
262 lines (234 loc) · 8.3 KB
/
__init__.py
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
from datasette import hookimpl
from dogsheep_beta.utils import parse_metadata
import html
import urllib
from jinja2 import Template
import json
TIMELINE_SQL = """
select
search_index.rowid,
search_index.type,
search_index.key,
search_index.title,
search_index.category,
search_index.timestamp,
search_index.search_1
from
search_index
{where}
{where_clauses}
order by
{order_by}
limit 40
"""
SEARCH_SQL = """
select
search_index_fts.rank,
search_index.rowid,
search_index.type,
search_index.key,
search_index.title,
search_index.category,
search_index.timestamp,
search_index.search_1
from
search_index join search_index_fts on search_index.rowid = search_index_fts.rowid
{where}
{where_clauses}
order by
{order_by}
limit 100
"""
FILTER_COLS = ("type", "category", "is_public")
SORT_ORDERS = {
"oldest": "search_index.timestamp",
"newest": "search_index.timestamp desc",
}
class InnerResponseError(Exception):
pass
async def beta(request, datasette):
from datasette.utils.asgi import Response
from datasette.utils import path_with_removed_args, path_with_replaced_args
config = datasette.plugin_config("dogsheep-beta") or {}
database_name = config.get("database") or datasette.get_database().name
dogsheep_beta_config_file = config["config_file"]
template_debug = bool(config.get("template_debug"))
rules = parse_metadata(open(dogsheep_beta_config_file).read())
q = request.args.get("q") or ""
sorted_by = "relevance" if q else "newest"
if request.args.get("sort") in SORT_ORDERS:
sorted_by = request.args["sort"]
other_sort_orders = []
for sort_order in ("relevance", "newest", "oldest"):
if not q and sort_order == "relevance":
continue
if sort_order != sorted_by:
other_sort_orders.append(
{
"label": sort_order,
"url": path_with_replaced_args(request, {"sort": sort_order})
if sort_order != "relevance"
else path_with_removed_args(request, {"sort"}),
}
)
results = []
facets = {}
count = None
results = await search(datasette, database_name, request)
count, facets = await get_count_and_facets(datasette, database_name, request)
await process_results(datasette, results, rules, q, template_debug)
hiddens = [
{"name": column, "value": request.args[column]}
for column in FILTER_COLS
if column in request.args
]
return Response.html(
await datasette.render_template(
"beta.html",
{
"q": q or "",
"count": count,
"results": results,
"facets": facets,
"hiddens": hiddens,
"sorted_by": sorted_by,
"other_sort_orders": other_sort_orders,
},
request=request,
)
)
async def search(datasette, database_name, request):
from datasette.utils import sqlite3, escape_fts
database = datasette.get_database(database_name)
q = request.args.get("q") or ""
if q:
default_sort = "search_index_fts.rank, search_index.timestamp desc"
else:
default_sort = "search_index.timestamp desc"
order_by = SORT_ORDERS.get(request.args.get("sort"), default_sort)
params = {"query": q}
where_clauses = []
if request.args.get("timestamp__date"):
where_clauses.append('date("timestamp") = :date')
params["date"] = request.args["timestamp__date"]
sql = TIMELINE_SQL
if q:
sql = SEARCH_SQL
where_clauses.append("search_index_fts match :query ")
for arg in FILTER_COLS:
if arg in request.args:
where_clauses.append("[{arg}]=:{arg}".format(arg=arg))
params[arg] = request.args[arg]
sql_to_execute = sql.format(
where=" where " if where_clauses else "",
where_clauses=" and ".join(where_clauses),
order_by=order_by,
)
try:
results = await database.execute(sql_to_execute, params)
except sqlite3.OperationalError as e:
if "fts5" in str(e):
params["query"] = escape_fts(params["query"])
results = await database.execute(sql_to_execute, params)
else:
raise
return [dict(r) for r in results.rows]
async def process_results(datasette, results, rules, q, template_debug=False):
# Adds a 'display' property with HTML to the results
templates_by_type = {}
rules_by_type = {}
for db_name, types in rules.items():
for type_, meta in types.items():
rules_by_type["{}/{}".format(db_name, type_)] = meta
for result in results:
type_ = result["type"]
meta = rules_by_type[type_]
result["display"] = {}
if meta.get("display_sql"):
db = datasette.get_database(type_.split(".")[0])
display_results = await db.execute(
meta["display_sql"], {"key": result["key"], "q": q}
)
first = display_results.first()
if first:
result["display"] = dict(first)
output = None
if meta.get("display"):
if type_ not in templates_by_type:
compiled = Template(meta["display"], autoescape=True)
templates_by_type[type_] = compiled
else:
compiled = templates_by_type[type_]
try:
output = compiled.render({**result, **{"json": json}})
except Exception as e:
if not template_debug:
raise
output = '<p style="color: red">{}</p><pre>{}</pre><p>Template:</p><pre>{}</pre>'.format(
html.escape(str(e)),
html.escape(json.dumps(result, default=repr, indent=4)),
html.escape(meta["display"]),
)
else:
output = "<pre>{}</pre>".format(
html.escape(json.dumps(result, default=repr, indent=4))
)
result["output"] = output
async def get_count_and_facets(datasette, database_name, request):
from datasette.utils.asgi import Request, Response
from datasette.utils import sqlite3, escape_fts
q = request.args.get("q") or ""
timestamp__date = request.args.get("timestamp__date") or ""
async def execute_search(searchmode_raw):
args = {
"_facet": ["type", "category", "is_public"],
"_facet_date": ["timestamp"],
"_size": 0,
}
if q:
args["_search"] = q
if searchmode_raw:
args["_searchmode"] = "raw"
if timestamp__date:
args["timestamp__date"] = timestamp__date
for column in FILTER_COLS:
if column in request.args:
args[column] = request.args[column]
path_with_query_string = "/{}/search_index.json?{}".format(
database_name,
urllib.parse.urlencode(
args,
doseq=True,
),
)
inner_response = await datasette.client.get(
path_with_query_string, cookies=request.cookies
)
if inner_response.status_code != 200:
raise InnerResponseError(inner_response.status_code)
data = inner_response.json()
count, facets = data["filtered_table_rows_count"], data["facet_results"]
return count, facets
try:
count, facets = await execute_search(True)
except InnerResponseError as e:
count, facets = await execute_search(False)
facets = facets.values()
# Rewrite toggle_url on facet_results
# ../search_index.json?_search=wolf&_facet=type&_facet=category&_facet=is_public&_size=0&category=2
for facet in facets:
for result in facet["results"]:
bits = urllib.parse.urlparse(result["toggle_url"])
qs_bits = dict(urllib.parse.parse_qsl(bits.query))
to_remove = [k for k in qs_bits if k.startswith("_")]
for k in to_remove:
qs_bits.pop(k)
qs_bits["q"] = q
result["toggle_url"] = "?" + urllib.parse.urlencode(qs_bits)
return count, facets
@hookimpl
def register_routes():
return [("/-/beta", beta)]
@hookimpl
def extra_template_vars():
return {"intcomma": lambda s: "{:,}".format(int(s))}