/
request_builder.py
205 lines (154 loc) · 7.38 KB
/
request_builder.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
import re
import sys
from typing import Any, Dict, Iterable, Optional, Tuple, Union
if sys.version_info < (3, 8):
from typing_extensions import Literal
else:
from typing import Literal
from postgrest_py.utils import AsyncClient, sanitize_param, sanitize_pattern_param
CountMethod = Union[Literal["exact"], Literal["planned"], Literal["estimated"]]
class AsyncRequestBuilder:
def __init__(self, session: AsyncClient, path: str):
self.session = session
self.path = path
def select(self, *columns: str, count: Optional[CountMethod] = None):
if columns:
method = "GET"
self.session.params = self.session.params.set("select", ",".join(columns))
else:
method = "HEAD"
if count:
self.session.headers["Prefer"] = f"count={count}"
return AsyncSelectRequestBuilder(self.session, self.path, method, {})
def insert(self, json: dict, *, count: Optional[CountMethod] = None, upsert=False):
prefer_headers = ["return=representation"]
if count:
prefer_headers.append(f"count={count}")
if upsert:
prefer_headers.append("resolution=merge-duplicates")
self.session.headers["prefer"] = ",".join(prefer_headers)
return AsyncQueryRequestBuilder(self.session, self.path, "POST", json)
def update(self, json: dict, *, count: Optional[CountMethod] = None):
prefer_headers = ["return=representation"]
if count:
prefer_headers.append(f"count={count}")
self.session.headers["prefer"] = ",".join(prefer_headers)
return AsyncFilterRequestBuilder(self.session, self.path, "PATCH", json)
def delete(self, *, count: Optional[CountMethod] = None):
prefer_headers = ["return=representation"]
if count:
prefer_headers.append(f"count={count}")
self.session.headers["prefer"] = ",".join(prefer_headers)
return AsyncFilterRequestBuilder(self.session, self.path, "DELETE", {})
class AsyncQueryRequestBuilder:
def __init__(self, session: AsyncClient, path: str, http_method: str, json: dict):
self.session = session
self.path = path
self.http_method = http_method
self.json = json
async def execute(self) -> Tuple[Any, Optional[int]]:
r = await self.session.request(self.http_method, self.path, json=self.json)
count = None
try:
count_header_match = re.search(
"count=(exact|planned|estimated)", self.session.headers["prefer"]
)
content_range = r.headers["content-range"].split("/")
if count_header_match and len(content_range) >= 2:
count = int(content_range[1])
except KeyError:
...
return r.json(), count
class AsyncFilterRequestBuilder(AsyncQueryRequestBuilder):
def __init__(self, session: AsyncClient, path: str, http_method: str, json: dict):
super().__init__(session, path, http_method, json)
self.negate_next = False
@property
def not_(self):
self.negate_next = True
return self
def filter(self, column: str, operator: str, criteria: str):
"""Either filter in or filter out based on Self.negate_next."""
if self.negate_next is True:
self.negate_next = False
operator = f"not.{operator}"
key, val = sanitize_param(column), f"{operator}.{criteria}"
self.session.params = self.session.params.add(key, val)
return self
def eq(self, column: str, value: str):
return self.filter(column, "eq", sanitize_param(value))
def neq(self, column: str, value: str):
return self.filter(column, "neq", sanitize_param(value))
def gt(self, column: str, value: str):
return self.filter(column, "gt", sanitize_param(value))
def gte(self, column: str, value: str):
return self.filter(column, "gte", sanitize_param(value))
def lt(self, column: str, value: str):
return self.filter(column, "lt", sanitize_param(value))
def lte(self, column: str, value: str):
return self.filter(column, "lte", sanitize_param(value))
def is_(self, column: str, value: str):
return self.filter(column, "is", sanitize_param(value))
def like(self, column: str, pattern: str):
return self.filter(column, "like", sanitize_pattern_param(pattern))
def ilike(self, column: str, pattern: str):
return self.filter(column, "ilike", sanitize_pattern_param(pattern))
def fts(self, column: str, query: str):
return self.filter(column, "fts", sanitize_param(query))
def plfts(self, column: str, query: str):
return self.filter(column, "plfts", sanitize_param(query))
def phfts(self, column: str, query: str):
return self.filter(column, "phfts", sanitize_param(query))
def wfts(self, column: str, query: str):
return self.filter(column, "wfts", sanitize_param(query))
def in_(self, column: str, values: Iterable[str]):
values = map(sanitize_param, values)
values = ",".join(values)
return self.filter(column, "in", f"({values})")
def cs(self, column: str, values: Iterable[str]):
values = map(sanitize_param, values)
values = ",".join(values)
return self.filter(column, "cs", f"{{{values}}}")
def cd(self, column: str, values: Iterable[str]):
values = map(sanitize_param, values)
values = ",".join(values)
return self.filter(column, "cd", f"{{{values}}}")
def ov(self, column: str, values: Iterable[str]):
values = map(sanitize_param, values)
values = ",".join(values)
return self.filter(column, "ov", f"{{{values}}}")
def sl(self, column: str, range: Tuple[int, int]):
return self.filter(column, "sl", f"({range[0]},{range[1]})")
def sr(self, column: str, range: Tuple[int, int]):
return self.filter(column, "sr", f"({range[0]},{range[1]})")
def nxl(self, column: str, range: Tuple[int, int]):
return self.filter(column, "nxl", f"({range[0]},{range[1]})")
def nxr(self, column: str, range: Tuple[int, int]):
return self.filter(column, "nxr", f"({range[0]},{range[1]})")
def adj(self, column: str, range: Tuple[int, int]):
return self.filter(column, "adj", f"({range[0]},{range[1]})")
def match(self, query: Dict[str, Any]):
updated_query = None
for key in query:
value = query.get(key, "")
updated_query = self.eq(key, value)
return updated_query
class AsyncSelectRequestBuilder(AsyncFilterRequestBuilder):
def __init__(self, session: AsyncClient, path: str, http_method: str, json: dict):
super().__init__(session, path, http_method, json)
def order(self, column: str, *, desc=False, nullsfirst=False):
self.session.params[
"order"
] = f"{column}{'.desc' if desc else ''}{'.nullsfirst' if nullsfirst else ''}"
return self
def limit(self, size: int, *, start=0):
self.session.headers["Range-Unit"] = "items"
self.session.headers["Range"] = f"{start}-{start + size - 1}"
return self
def range(self, start: int, end: int):
self.session.headers["Range-Unit"] = "items"
self.session.headers["Range"] = f"{start}-{end - 1}"
return self
def single(self):
self.session.headers["Accept"] = "application/vnd.pgrst.object+json"
return self