Demonstration bridge between ATproto and GraphQL. Generate schema types and interface with the ATmosphere via GraphQL queries. Includes a TypeScript server with IDE.
refactor: clean up Python code
+6
-3316
-14
Pipfile
-14
Pipfile
-666
Pipfile.lock
-666
Pipfile.lock
···
1
-
{
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"_meta": {
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"hash": {
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"sha256": "60e3e4849fadc75bda934e7f5a78b3a88203e1e0b20e0058faf9e737b7c8f0c1"
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.14"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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]
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},
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"default": {
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"annotated-types": {
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"version": "==0.7.0"
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"version": "==4.13.0"
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},
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"atproto": {
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"version": "==0.0.65"
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"certifi": {
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"sha256:47b099e1f4fbc95b701b6e85768e1fcdaf1630f3cbe4765fa216596f12310e2e",
613
-
"sha256:4a9fac8e469d04ce6c25bb2610dc535235bd4aa14996b4e6dbebf5e007eba5ee",
614
-
"sha256:4b826973a4a2ae47ba357e4e82fa44a463b8f168e1ca775ac64521442b19e87f",
615
-
"sha256:4c2529b320eb9e35af0fa3016c187dffb84a3ecc572bcee7c3ce302bfeba52bf",
616
-
"sha256:54479983bd5fb469c38f2f5c7e3a24f9a4e70594cd68cd1fa6b9340dadaff7cf",
617
-
"sha256:558d023b3df0bffe50a04e710bc87742de35060580a293c2a984299ed83bc4e4",
618
-
"sha256:5756779642579d902eed757b21b0164cd6fe338506a8083eb58af5c372e39d9a",
619
-
"sha256:592f1a9fe869c778694f0aa806ba0374e97648ab57936f092fd9d87f8bc03665",
620
-
"sha256:595b6c3969023ecf9041b2936ac3827e4623bfa3ccf007575f04c5a6aa318c22",
621
-
"sha256:5a939de6b7b4e18ca683218320fc67ea886038265fd1ed30173f5ce3f8e85675",
622
-
"sha256:5d54b09eba2bada6011aea5375542a157637b91029687eb4fdb2dab11059c1b4",
623
-
"sha256:5df592cd503496351d6dc14f7cdad49f268d8e618f80dce0cd5a36b93c3fc08d",
624
-
"sha256:5f4c04ead5aed67c8a1a20491d54cdfba5884507a48dd798ecaf13c74c4489f5",
625
-
"sha256:64dee438fed052b52e4f98f76c5790513235efaa1ef7f3f2192c392cd7c91b65",
626
-
"sha256:66dd88c918e3287efc22409d426c8f729688d89a0c587c88971a0faa2c2f3792",
627
-
"sha256:678999709e68425ae2593acf2e3ebcbcf2e69885a5ee78f9eb80e6e371f1bf57",
628
-
"sha256:67f2b6de947f8c757db2db9c71527933ad0019737ec374a8a6be9a956786aaf9",
629
-
"sha256:693f0192126df6c2327cce3baa7c06f2a117575e32ab2308f7f8216c29d9e2e3",
630
-
"sha256:746ee8dba912cd6fc889a8147168991d50ed70447bf18bcda7039f7d2e3d9151",
631
-
"sha256:756c56e867a90fb00177d530dca4b097dd753cde348448a1012ed6c5131f8b7d",
632
-
"sha256:76d1f20b1c7a2fa82367e04982e708723ba0e7b8d43aa643d3dcd404d74f1475",
633
-
"sha256:7f493881579c90fc262d9cdbaa05a6b54b3811c2f300766748db79f098db9940",
634
-
"sha256:823c248b690b2fd9303ba00c4f66cd5e2d8c3ba4aa968b2779be9532a4dad431",
635
-
"sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee",
636
-
"sha256:8dd8327c795b3e3f219760fa603dcae1dcc148172290a8ab15158cf85a953413",
637
-
"sha256:8fdc51055e6ff4adeb88d58a11042ec9a5eae317a0a53d12c062c8a8865909e8",
638
-
"sha256:a625e06551975f4b7ea7102bc43895b90742746797e2e14b70ed61c43a90f09b",
639
-
"sha256:abdc0c6c8c648b4805c5eacd131910d2a7f6455dfd3becab248ef108e89ab16a",
640
-
"sha256:ac017dd64572e5c3bd01939121e4d16cf30e5d7e110a119399cf3133b63ad054",
641
-
"sha256:ac1e5c9054fe23226fb11e05a6e630837f074174c4c2f0fe442996112a6de4fb",
642
-
"sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205",
643
-
"sha256:b359ed09954d7c18bbc1680f380c7301f92c60bf924171629c5db97febb12f04",
644
-
"sha256:b7643a03db5c95c799b89b31c036d5f27eeb4d259c798e878d6937d71832b1e4",
645
-
"sha256:ba9e56e8ceeeedb2e080147ba85ffcd5cd0711b89576b83784d8605a7df455fa",
646
-
"sha256:c338ffa0520bdb12fbc527265235639fb76e7bc7faafbb93f6ba80d9c06578a9",
647
-
"sha256:cad21560da69f4ce7658ca2cb83138fb4cf695a2ba3e475e0559e05991aa8122",
648
-
"sha256:d08eb4c2b7d6c41da6ca0600c077e93f5adcfd979cd777d747e9ee624556da4b",
649
-
"sha256:d50fd1ee42388dcfb2b3676132c78116490976f1300da28eb629272d5d93e905",
650
-
"sha256:d591f8de75824cbb7acad4e05d2d710484f15f29d4a915092675ad3456f11770",
651
-
"sha256:d5f6b181bb38171a8ad1d6aa58a67a6aa9d4b38d0f8c5f496b9e42561dfc62fe",
652
-
"sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b",
653
-
"sha256:d99e5546bf73dbad5bf3547174cd6cb8ba7273062a23808ffea025ecb1cf8562",
654
-
"sha256:e09473f095a819042ecb2ab9465aee615bd9c2028e4ef7d933600a8401c79561",
655
-
"sha256:e8b56bdcdb4505c8078cb6c7157d9811a85790f2f2b3632c7d1462ab5783d215",
656
-
"sha256:ee443ef070bb3b6ed74514f5efaa37a252af57c90eb33b956d35c8e9c10a1931",
657
-
"sha256:f29d80eb9a9263b8d109135351caf568cc3f80b9928bccde535c235de55c22d9",
658
-
"sha256:f7a866fbc1e97b5c617ee4116daaa09b722101d4a3c170c787450ba409f9736f",
659
-
"sha256:fcd5cf9e305d7b8338754470cf69cf81f420459dbae8a3b40cee57417f4614a7"
660
-
],
661
-
"markers": "python_version >= '3.9'",
662
-
"version": "==15.0.1"
663
-
}
664
-
},
665
-
"develop": {}
666
-
}
+6
-22
README.md
+6
-22
README.md
···
6
6
7
7
```
8
8
git submodule update --init --recursive
9
-
pipenv install
10
-
```
11
-
12
-
**Testing:**
13
-
14
-
```
15
-
pipenv run python -m pytest
9
+
npm install
16
10
```
17
11
18
12
## Schema Generation
19
13
20
-
The `schema/` folder contains scripts to generate a GraphQL schema from Lexicon. Standard ATProto definitions are initialized in the `deps/atproto` folder.
14
+
This folder contains scripts to generate a GraphQL schema from Lexicon. Standard ATProto definitions are initialized in the `deps/atproto` folder.
21
15
22
16
Example usage:
23
17
24
18
```
25
-
pipenv run python schema/generate_lexicon_schema.py \
19
+
npx tsx src/generateLexiconSchema.ts \
26
20
app.bsky.actor.getProfile \
27
21
com.atproto.server.getSession \
28
-
-o schema/schema-generated.graphql
22
+
-o schema-generated.graphql
29
23
```
30
24
31
25
This will generate schema definitions for the `getProfile` and `getSession` procedures and recursively import all their referenced types, e.g.
···
73
67
### Building
74
68
75
69
```bash
76
-
cd server
77
-
cargo run --release
70
+
npm run server
78
71
```
79
72
80
-
The server will start on `http://localhost:8080` by default.
81
-
82
-
### Environment Configuration
83
-
84
-
Copy `.env.example` to `.env` and configure as needed for your deployment.
85
-
86
-
| Variable | Default | Description |
87
-
|----------|---------|-------------|
88
-
| `HOST` | `0.0.0.0` | Host to bind the server to |
89
-
| `PORT` | `8080` | Port to listen on |
73
+
The server will start on `http://localhost:8000`.
90
74
91
75
## License
92
76
js/package-lock.json
package-lock.json
js/package-lock.json
package-lock.json
js/package.json
package.json
js/package.json
package.json
js/public/index.html
public/index.html
js/public/index.html
public/index.html
js/schema-generated.graphql
schema-generated.graphql
js/schema-generated.graphql
schema-generated.graphql
js/src/generateLexiconSchema.ts
src/generateLexiconSchema.ts
js/src/generateLexiconSchema.ts
src/generateLexiconSchema.ts
js/src/server/server.js
src/server/server.js
js/src/server/server.js
src/server/server.js
js/tsconfig.json
tsconfig.json
js/tsconfig.json
tsconfig.json
schema/__init__.py
schema/__init__.py
This is a binary file and will not be displayed.
-466
schema/generate_lexicon_schema.py
-466
schema/generate_lexicon_schema.py
···
1
-
"""Convert Lexicon definitions to GraphQL"""
2
-
3
-
import os
4
-
import re
5
-
import sys
6
-
import traceback
7
-
from pathlib import Path
8
-
from typing import Annotated, TypeAlias
9
-
10
-
from atproto_lexicon.models import (
11
-
LexArray,
12
-
LexBlob,
13
-
LexDefinition,
14
-
LexObject,
15
-
LexPrimitive,
16
-
LexRef,
17
-
LexRefUnion,
18
-
LexRefVariant,
19
-
LexString,
20
-
LexXrpcQuery,
21
-
)
22
-
from atproto_lexicon.parser import lexicon_parse_file
23
-
from typer import Argument, Option, run
24
-
25
-
26
-
def normalize_type_name(s: str) -> str:
27
-
"""
28
-
Normalize type name to PascalCase
29
-
"""
30
-
# Convert to PascalCase
31
-
return s[0].upper() + s[1:] if s else s
32
-
33
-
34
-
class LexiconPath:
35
-
_segments: list[str]
36
-
37
-
def __init__(self, path: str | None = None) -> None:
38
-
if path is None:
39
-
self._segments = []
40
-
else:
41
-
self._segments = path.split(".")
42
-
43
-
@property
44
-
def segments(self):
45
-
return self._segments[:]
46
-
47
-
def dot_path(self):
48
-
return ".".join(self._segments)
49
-
50
-
def file_path(self):
51
-
return "/".join(self._segments)
52
-
53
-
54
-
# Constants
55
-
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
56
-
LEXICON_DIR = os.path.join(BASE_DIR, "../deps/atproto/lexicons")
57
-
58
-
TYPE_MAPPING = {
59
-
"string": "String",
60
-
"integer": "Int",
61
-
"number": "Float",
62
-
"boolean": "Boolean",
63
-
"bytes": "String",
64
-
}
65
-
66
-
FORMAT_MAPPING = {
67
-
"did": "ID",
68
-
"handle": "ID",
69
-
"uri": "String",
70
-
"cid": "String",
71
-
"datetime": "String",
72
-
"date": "String",
73
-
"time": "String",
74
-
"at-identifier": "ID",
75
-
}
76
-
77
-
SKIP_FIELDS = {"debug"} # Fields to skip in GraphQL output
78
-
79
-
80
-
def resolve_lexicon_path(lexicon_path: LexiconPath) -> str:
81
-
"""
82
-
Resolve a lexicon ID to its file path
83
-
"""
84
-
dir_parts = lexicon_path.segments
85
-
86
-
# Construct path: app.bsky.actor.getProfile -> app/bsky/actor/getProfile.json
87
-
file_path = os.path.join(LEXICON_DIR, *dir_parts[:-1], f"{dir_parts[-1]}.json")
88
-
89
-
if not os.path.exists(file_path):
90
-
raise FileNotFoundError(f"Lexicon file not found: {file_path}")
91
-
92
-
return file_path
93
-
94
-
95
-
def normalize_reference(base: str, ref: str) -> str:
96
-
"""
97
-
Normalize a reference like '#profileViewDetailed'
98
-
"""
99
-
if "#" in base and ref[0] == "#":
100
-
return base.split("#")[0] + ref
101
-
elif "#" not in base and ref[0] == "#":
102
-
return base + ref
103
-
else:
104
-
return ref
105
-
106
-
107
-
def resolve_reference(ref: str) -> LexDefinition | None:
108
-
if "#" in ref:
109
-
lexicon_id, type_name = ref.split("#", 1)
110
-
else:
111
-
lexicon_id = ref
112
-
type_name = "main"
113
-
try:
114
-
lexicon_path = resolve_lexicon_path(LexiconPath(lexicon_id))
115
-
116
-
# Use structured parsing instead of JSON
117
-
lexicon_structured_data = lexicon_parse_file(lexicon_path)
118
-
119
-
# Find the type definition in the structured data
120
-
if not lexicon_structured_data:
121
-
return None
122
-
123
-
defs = lexicon_structured_data.defs
124
-
125
-
# Check if the type_name is in defs directly (as dict key)
126
-
if type_name in defs:
127
-
return defs[type_name]
128
-
129
-
return None
130
-
except Exception as e:
131
-
print(f"Warning: Could not resolve reference {ref}: {e}", file=sys.stderr)
132
-
return None
133
-
134
-
135
-
def lex_type_to_graphql_type(
136
-
base: str,
137
-
lex_type: LexRefVariant | LexPrimitive | LexBlob | LexObject | LexArray,
138
-
is_required: bool = False,
139
-
) -> str:
140
-
"""
141
-
Convert Lexicon type to GraphQL type
142
-
"""
143
-
if isinstance(lex_type, LexArray):
144
-
items_type = lex_type.items
145
-
item_type = lex_type_to_graphql_type(base, items_type, True)
146
-
output = f"[{item_type}]"
147
-
elif isinstance(lex_type, LexRef):
148
-
# For reference types, we use the type name directly
149
-
ref = normalize_reference(base, lex_type.ref) or ""
150
-
# Convert to GraphQL naming convention - camelCase to PascalCase
151
-
type_name = f"Lexicon_{ref.replace('#', '.').replace('.', '_')}"
152
-
output = type_name
153
-
elif isinstance(lex_type, LexString):
154
-
if lex_type.format in FORMAT_MAPPING:
155
-
output = FORMAT_MAPPING[lex_type.format]
156
-
else:
157
-
output = "String"
158
-
elif lex_type.type in TYPE_MAPPING:
159
-
output = TYPE_MAPPING[lex_type.type]
160
-
else:
161
-
output = "Unknown"
162
-
163
-
nullable_indicator = "!" if is_required else ""
164
-
return f"{output}{nullable_indicator}"
165
-
166
-
167
-
TypeDef: TypeAlias = LexObject | LexString
168
-
TypeDefs: TypeAlias = dict[str, TypeDef]
169
-
170
-
171
-
def to_upper_snake_case(s: str) -> str:
172
-
return re.sub(r"[^a-zA-Z0-9]+", "_", s).upper()
173
-
174
-
175
-
def lex_object_definition_to_graphql(type_name: str, type_def: TypeDef) -> str:
176
-
"""
177
-
Convert a LexObject definition from lexicon to GraphQL
178
-
"""
179
-
180
-
if isinstance(type_def, LexString):
181
-
# Enums
182
-
graphql_lines = [
183
-
f"# {type_name}\nenum Lexicon_{type_name.replace('#', '_').replace('.', '_')} {{"
184
-
]
185
-
186
-
for field_name in type_def.known_values or []:
187
-
graphql_lines.append(f" {to_upper_snake_case(field_name)}")
188
-
else:
189
-
# Struct/object definitions
190
-
graphql_lines = [
191
-
f"# {type_name}\ntype Lexicon_{type_name.replace('#', '_').replace('.', '_')} {{"
192
-
]
193
-
194
-
properties = type_def.properties
195
-
required_fields = set(type_def.required or [])
196
-
197
-
for field_name, field_def in properties.items():
198
-
# Skip debug field as per requirements
199
-
if field_name in SKIP_FIELDS:
200
-
continue
201
-
202
-
# Skip ref unions(?)
203
-
if isinstance(field_def, LexRefUnion):
204
-
continue
205
-
206
-
# Skip "unknown" fields
207
-
if field_def.type == "unknown":
208
-
continue
209
-
210
-
is_required = field_name in required_fields
211
-
graphql_type = lex_type_to_graphql_type(type_name, field_def, is_required)
212
-
graphql_lines.append(f" {field_name}: {graphql_type}")
213
-
214
-
graphql_lines.append("}")
215
-
return "\n".join(graphql_lines)
216
-
217
-
218
-
# Build the nested types from the outside in
219
-
# For app.bsky.actor.getProfile, we need:
220
-
# 1. type LexiconApp { bsky: LexiconAppBsky! }
221
-
# 2. type LexiconAppBsky { actor: LexiconAppBskyActor! }
222
-
# 3. type LexiconAppBskyActor { getProfile(...): ... }
223
-
def output_lexicon_namespaces(
224
-
namespaces: dict[str, str], root: LexiconPath
225
-
) -> list[str]:
226
-
lines: list[str] = []
227
-
chunks: list[str] = []
228
-
root_len = len(root.segments)
229
-
while len(namespaces):
230
-
lexicon_path = LexiconPath(next(iter(namespaces)))
231
-
if root_len == len(lexicon_path.segments) - 1:
232
-
# Done, output the type
233
-
lines.append(namespaces.pop(lexicon_path.dot_path()))
234
-
else:
235
-
next_segment = lexicon_path.segments[root_len]
236
-
next_path = (
237
-
f"{root.dot_path()}.{next_segment}" if root_len > 0 else next_segment
238
-
)
239
-
240
-
group: dict[str, str] = dict()
241
-
for path in list(namespaces.keys()):
242
-
if path.startswith(f"{next_path}."):
243
-
group[path] = namespaces.pop(path)
244
-
chunks += output_lexicon_namespaces(group, LexiconPath(next_path))
245
-
246
-
lines.append(
247
-
f"{next_segment}: {'_'.join(['Lexicon'] + LexiconPath(next_path).segments)}!"
248
-
)
249
-
250
-
content = " " + "\n ".join(lines)
251
-
chunks.append(f"type {'_'.join(['Lexicon'] + root.segments)} {{\n{content}\n}}\n")
252
-
return chunks
253
-
254
-
255
-
def generate_lexicon_structure(
256
-
lexicon_path: LexiconPath,
257
-
) -> tuple[str, TypeDefs]:
258
-
"""
259
-
Generate the nested Lexicon structure for a lexicon endpoint
260
-
Returns (graphql_type, set(refs))
261
-
"""
262
-
263
-
method_name = lexicon_path.segments[-1]
264
-
265
-
try:
266
-
# Structured parsing of the Lexicon .json file
267
-
lexicon_structured_data = lexicon_parse_file(resolve_lexicon_path(lexicon_path))
268
-
269
-
if not lexicon_structured_data:
270
-
return ("", dict())
271
-
272
-
defs = lexicon_structured_data.defs
273
-
main_def = defs["main"]
274
-
assert isinstance(main_def, LexXrpcQuery)
275
-
276
-
# Build the method definition
277
-
referenced_types: set[str] = set()
278
-
object_definitions: TypeDefs = dict()
279
-
280
-
# Add parameters as fields
281
-
method_fields: list[str] = []
282
-
if main_def.parameters:
283
-
params = main_def.parameters
284
-
required_fields = params.required or []
285
-
for field_name, field_def in params.properties.items():
286
-
# Convert the structured field definition to dict for get_graphql_type
287
-
is_required = field_name in required_fields
288
-
graphql_type = lex_type_to_graphql_type(
289
-
lexicon_path.dot_path(), field_def, is_required
290
-
)
291
-
method_fields.append(f"{field_name}: {graphql_type}")
292
-
293
-
# Sweep up refs
294
-
if isinstance(field_def, LexRef):
295
-
referenced_types.add(field_def.ref)
296
-
297
-
method_params = f"({', '.join(method_fields)})" if len(method_fields) else ""
298
-
299
-
return_type = None
300
-
301
-
if main_def.output:
302
-
output_schema = main_def.output.schema_
303
-
if isinstance(output_schema, LexRef):
304
-
# Use the output type as return type
305
-
return_type = lex_type_to_graphql_type(
306
-
lexicon_path.dot_path(), output_schema
307
-
)
308
-
309
-
# Sweep up refs
310
-
referenced_types.add(output_schema.ref)
311
-
elif isinstance(output_schema, LexObject):
312
-
# Handle inline object definitions for return type
313
-
output_type = f"Lexicon_{'_'.join(lexicon_path.segments)}Output"
314
-
return_type = output_type
315
-
object_definitions[lexicon_path.dot_path() + "Output"] = output_schema
316
-
317
-
# Resolve references
318
-
for ref in referenced_types:
319
-
ref = normalize_reference(lexicon_path.dot_path(), ref)
320
-
ref_def = resolve_reference(ref)
321
-
if isinstance(ref_def, TypeDef):
322
-
object_definitions[ref] = ref_def
323
-
324
-
if return_type:
325
-
method_def = f"{method_name}{method_params}: {return_type}"
326
-
else:
327
-
method_def = f"{method_name}{method_params}"
328
-
329
-
return (method_def, object_definitions)
330
-
except Exception as e:
331
-
print(
332
-
f"Error processing lexicon {'.'.join(lexicon_path.segments)}: {e}",
333
-
file=sys.stderr,
334
-
)
335
-
traceback.print_exc()
336
-
return ("", dict())
337
-
338
-
339
-
def generate_definitions(lexicon_ids: list[str]) -> list[str]:
340
-
chunks: list[str] = []
341
-
lexicon_fields: dict[str, str] = dict()
342
-
object_definitions: TypeDefs = dict()
343
-
for lexicon_id in lexicon_ids:
344
-
lexicon_path = LexiconPath(lexicon_id)
345
-
346
-
# Generate main lexicon structure
347
-
method_type, collected_object_definitions = generate_lexicon_structure(
348
-
lexicon_path
349
-
)
350
-
lexicon_fields[lexicon_path.dot_path()] = method_type
351
-
object_definitions.update(collected_object_definitions)
352
-
353
-
# Walk output types for more refs
354
-
final_definitions: TypeDefs = dict()
355
-
new_definitions: TypeDefs = dict()
356
-
while len(object_definitions):
357
-
for obj_name, obj_def in object_definitions.items():
358
-
if isinstance(obj_def, LexObject):
359
-
for field_def in obj_def.properties.values():
360
-
# Export refs
361
-
if isinstance(field_def, LexRef):
362
-
ref = normalize_reference(obj_name, field_def.ref)
363
-
ref_def = resolve_reference(ref)
364
-
if isinstance(ref_def, TypeDef):
365
-
new_definitions[ref] = ref_def
366
-
continue
367
-
elif isinstance(field_def, LexArray) and isinstance(
368
-
field_def.items, LexRef
369
-
):
370
-
ref = normalize_reference(obj_name, field_def.items.ref)
371
-
ref_def = resolve_reference(ref)
372
-
if isinstance(ref_def, LexObject) or isinstance(
373
-
ref_def, LexString
374
-
):
375
-
new_definitions[ref] = ref_def
376
-
continue
377
-
378
-
final_definitions[obj_name] = obj_def
379
-
380
-
# Reset object_definitions to only be ones we haven't seen yet.
381
-
object_definitions = dict()
382
-
for obj_key, obj_def in new_definitions.items():
383
-
if obj_key not in final_definitions:
384
-
object_definitions[obj_key] = obj_def
385
-
object_definitions = final_definitions
386
-
387
-
# Generate types for all output types
388
-
for name, type in object_definitions.items():
389
-
chunks.append(lex_object_definition_to_graphql(name, type) + "\n\n")
390
-
391
-
# Generate Lexicon structs iteratively.
392
-
chunks += output_lexicon_namespaces(lexicon_fields, LexiconPath())
393
-
394
-
return chunks
395
-
396
-
397
-
def read_schema_files(schema_files: list[str] | None) -> str:
398
-
"""Read content from schema files or folders recursively."""
399
-
if not schema_files:
400
-
return ""
401
-
402
-
output = ""
403
-
for schema_file in schema_files:
404
-
path = Path(schema_file)
405
-
if path.is_file():
406
-
# If it's a single file, read it
407
-
with open(str(path), "r") as f:
408
-
content = f.read()
409
-
output += "\n" + content + "\n"
410
-
elif path.is_dir():
411
-
# If it's a directory, recursively read all .graphql files
412
-
for graphql_file in path.rglob("*.graphql"):
413
-
with open(str(graphql_file), "r") as f:
414
-
content = f.read()
415
-
output += "\n" + content + "\n"
416
-
return output
417
-
418
-
419
-
def main(
420
-
lexicon_ids: Annotated[
421
-
list[str],
422
-
Argument(
423
-
...,
424
-
help="List of lexicon identifiers to generate definitions for",
425
-
),
426
-
],
427
-
output: Annotated[
428
-
str,
429
-
Option(
430
-
"--output",
431
-
"-o",
432
-
help="Output file path (default: stdout)",
433
-
),
434
-
],
435
-
append_schema: Annotated[
436
-
list[str] | None,
437
-
Option(
438
-
"--append-schema",
439
-
"-a",
440
-
help="Additional GraphQL schema files or folders to append. Can be used multiple times.",
441
-
),
442
-
] = None,
443
-
) -> None:
444
-
"""Generate GraphQL schema from lexicon_ids and source files."""
445
-
446
-
output_content: str = ""
447
-
448
-
# Append additional schemas if provided via --append-schema
449
-
if append_schema:
450
-
additional_schemas = read_schema_files(append_schema)
451
-
output_content += additional_schemas
452
-
453
-
# Append the new schema.
454
-
output_content += "\n\n".join(generate_definitions(lexicon_ids))
455
-
456
-
# Write to output file
457
-
if output:
458
-
output_path: str = output
459
-
with open(output_path, "w") as f:
460
-
_ = f.write(output_content)
461
-
else:
462
-
print(output)
463
-
464
-
465
-
if __name__ == "__main__":
466
-
run(main)
-14
server/.env.example
-14
server/.env.example
···
1
-
# GraphQL Server Configuration
2
-
# Copy this file to .env and modify as needed
3
-
4
-
# Server host (default: 0.0.0.0 for all interfaces)
5
-
HOST=0.0.0.0
6
-
7
-
# Server port (default: 8080)
8
-
PORT=8080
9
-
10
-
# Database connection string (if using database)
11
-
# DATABASE_URL=postgres://user:password@localhost:5432/mothball
12
-
13
-
# Logging level (debug, info, warn, error)
14
-
# RUST_LOG=info
-3
server/.gitmodules
-3
server/.gitmodules
-6
server/.rules
-6
server/.rules
-1486
server/Cargo.lock
-1486
server/Cargo.lock
···
1
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-
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-
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"windows-strings",
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]
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[[package]]
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[[package]]
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"windows-link",
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]
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[[package]]
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-
[[package]]
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-
"windows-targets",
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]
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-
1325
-
[[package]]
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-
name = "windows-sys"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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]
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[[package]]
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-
"windows-link",
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-
"windows_aarch64_gnullvm",
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-
"windows_aarch64_msvc",
1343
-
"windows_i686_gnu",
1344
-
"windows_i686_gnullvm",
1345
-
"windows_i686_msvc",
1346
-
"windows_x86_64_gnu",
1347
-
"windows_x86_64_gnullvm",
1348
-
"windows_x86_64_msvc",
1349
-
]
1350
-
1351
-
[[package]]
1352
-
name = "windows_aarch64_gnullvm"
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[[package]]
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source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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[[package]]
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[[package]]
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source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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[[package]]
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[[package]]
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name = "wit-bindgen"
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[[package]]
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"yoke-derive",
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"zerofrom",
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]
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-
1422
-
[[package]]
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-
name = "yoke-derive"
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"quote",
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"syn",
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"synstructure",
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]
1433
-
1434
-
[[package]]
1435
-
name = "zerofrom"
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version = "0.1.6"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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"zerofrom-derive",
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]
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-
1443
-
[[package]]
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-
name = "zerofrom-derive"
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version = "0.1.6"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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"quote",
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"syn",
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-
"synstructure",
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-
]
1454
-
1455
-
[[package]]
1456
-
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source = "registry+https://github.com/rust-lang/crates.io-index"
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"yoke",
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"zerofrom",
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]
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-
1466
-
[[package]]
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-
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source = "registry+https://github.com/rust-lang/crates.io-index"
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"zerofrom",
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"zerovec-derive",
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]
1476
-
1477
-
[[package]]
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-
name = "zerovec-derive"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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1484
-
"quote",
1485
-
"syn",
1486
-
]
-15
server/Cargo.toml
-15
server/Cargo.toml
···
1
-
[package]
2
-
name = "mothball-server"
3
-
version = "0.1.0"
4
-
edition = "2021"
5
-
6
-
[dependencies]
7
-
axum = "0.8"
8
-
juniper = "0.17"
9
-
juniper_axum = "0.3"
10
-
serde = { version = "1.0", features = ["derive"] }
11
-
serde_json = "1.0"
12
-
tokio = { version = "1.0", features = ["full"] }
13
-
dotenv = "0.15"
14
-
chrono = "0.4"
15
-
uuid = { version = "1.0", features = ["v4"] }
-35
server/Dockerfile
-35
server/Dockerfile
···
1
-
# Dockerfile for Mothball GraphQL Server
2
-
# Multi-stage build to keep the final image small
3
-
4
-
# Stage 1: Build the Rust application
5
-
FROM rust:1.60-slim as builder
6
-
7
-
WORKDIR /app
8
-
9
-
# Copy the entire project
10
-
COPY . .
11
-
12
-
# Build the application in release mode
13
-
RUN cargo build --release
14
-
15
-
# Stage 2: Create the final lightweight image
16
-
FROM debian:bullseye-slim
17
-
18
-
# Install only the essential dependencies
19
-
RUN apt-get update && \
20
-
apt-get install -y ca-certificates && \
21
-
rm -rf /var/lib/apt/lists/*
22
-
23
-
WORKDIR /app
24
-
25
-
# Copy the compiled binary from the builder stage
26
-
COPY --from=builder /app/target/release/mothball-server .
27
-
28
-
# Copy environment variables and static files
29
-
COPY .env .
30
-
31
-
# Expose the port the app runs on
32
-
EXPOSE 8080
33
-
34
-
# Command to run the application
35
-
CMD ["./mothball-server"]
-23
server/fly.toml
-23
server/fly.toml
···
1
-
# fly.toml app configuration
2
-
# See https://fly.io/docs/reference/configuration/ for information about how to use this file.
3
-
4
-
app = "mothball-server"
5
-
primary_region = "iad"
6
-
7
-
[build]
8
-
dockerfile = "Dockerfile"
9
-
10
-
[env]
11
-
PRIMARY_REGION = "iad"
12
-
13
-
[http_service]
14
-
internal_port = 8080
15
-
force_https = true
16
-
auto_stop_machines = true
17
-
auto_start_machines = true
18
-
min_machines_running = 1
19
-
20
-
[[vm]]
21
-
cpu_kind = "shared"
22
-
cpus = 1
23
-
memory_mb = 1024
-58
server/graphql/useInventoryQuery.json
-58
server/graphql/useInventoryQuery.json
···
1
-
{
2
-
"data": {
3
-
"inventory": [
4
-
{
5
-
"id": "ikea-desk",
6
-
"title": "Large IKEA Desk - Spacious Workspace",
7
-
"cost": "20.00",
8
-
"images": [
9
-
"https://www.ikea.com/us/en/images/products/linnmon-adils-desk-black-brown__0974302_pe812345_s5.jpg?f=xl"
10
-
],
11
-
"description": "Specifications:\n\n- Dimensions: 79\" long tabletop\n- Color: Black-brown\n- Model: LINNMON with ADILS legs\n- Condition: Used, good overall state\n\nThis versatile desk has been a reliable workspace for multiple years. Ideal for various activities including:\n\n- Computer setup\n- Crafting\n- Project work\n- Organizational tasks\n\nSlight cosmetic wear, minor surface imperfections.\n\nPricing:\n\n- Retail replacement cost: Approximately $100\n- Selling price: $30\n\nFlexible payment options available.",
12
-
"location": "Portland, OR",
13
-
"condition": "Used - Good",
14
-
"category": "Furniture",
15
-
"posted_at": "2024-01-15"
16
-
},
17
-
{
18
-
"id": "orbi-router",
19
-
"title": "Orbi Router",
20
-
"cost": "0",
21
-
"images": ["https://www.netgear.com/support/cloudimage/1/11/123573"],
22
-
"description": "This is an orbi wireless router. Normally it comes with satellites but\nthis one does not.",
23
-
"location": "Portland, OR",
24
-
"condition": "Used - Good",
25
-
"category": "Electronics",
26
-
"posted_at": "2024-01-18"
27
-
},
28
-
{
29
-
"id": "arris-router",
30
-
"title": "Arris Router",
31
-
"cost": "10.00",
32
-
"images": [
33
-
"https://m.media-amazon.com/images/I/71gmmM9G8CL._AC_SY879_.jpg"
34
-
],
35
-
"description": "This is an Arris SURFBoard router.",
36
-
"location": "Portland, OR",
37
-
"condition": "Used - Good",
38
-
"category": "Electronics",
39
-
"posted_at": "2024-01-20"
40
-
},
41
-
{
42
-
"id": "dell-soundbar",
43
-
"title": "Dell Stereo SoundBar - AC511M",
44
-
"cost": "10.00",
45
-
"images": [
46
-
"https://m.media-amazon.com/images/I/71MiidZgcfL._AC_SX679_.jpg",
47
-
"https://m.media-amazon.com/images/I/71VKkGixWWL._AC_SX679_.jpg"
48
-
],
49
-
"description": "- Until you hear it you'll hardly notice it's there Dell Stereo Soundbar can give you the sound you want without big speakers and Long cables.Total usb ports:1\n- USB powered the Dell Stereo Soundbar is simplicity itself Just Plug in to an available USB port on your monitor or laptop No extra software Installation No power cord No Batteries required\n- An included Soundbar mount offers Easy attachment to the monitor allowing you to enjoy clear Stereo sound without losing desk space",
50
-
"location": "Portland, OR",
51
-
"condition": "Used - Good",
52
-
"category": "Electronics",
53
-
"posted_at": "2024-01-22"
54
-
}
55
-
]
56
-
},
57
-
"errors": []
58
-
}
-167
server/graphql/useMessagesQuery.json
-167
server/graphql/useMessagesQuery.json
···
1
-
{
2
-
"data": {
3
-
"chats": [
4
-
{
5
-
"id": "chat:1",
6
-
"sender": "John Doe",
7
-
"avatar": "JD",
8
-
"unread": true,
9
-
"messages": [
10
-
{
11
-
"id": "chat:1:1",
12
-
"sender": "them",
13
-
"text": "Hi, I'm interested in your vintage lamp. Is it still available?",
14
-
"time": "2:30 PM"
15
-
},
16
-
{
17
-
"id": "chat:1:2",
18
-
"sender": "me",
19
-
"text": "Yes, the vintage lamp is still available. Would you like more details about it?",
20
-
"time": "2:31 PM"
21
-
},
22
-
{
23
-
"id": "chat:1:3",
24
-
"sender": "them",
25
-
"text": "Absolutely! How old is it and what's the condition?",
26
-
"time": "2:35 PM"
27
-
},
28
-
{
29
-
"id": "chat:1:4",
30
-
"sender": "me",
31
-
"text": "The lamp is from the 1960s and in excellent condition. The base has a small chip but the shade is perfect.",
32
-
"time": "2:38 PM"
33
-
}
34
-
]
35
-
},
36
-
{
37
-
"id": "chat:2",
38
-
"sender": "Sarah Johnson",
39
-
"avatar": "SJ",
40
-
"unread": true,
41
-
"messages": [
42
-
{
43
-
"id": "chat:2:1",
44
-
"sender": "them",
45
-
"text": "Can we negotiate the price on your records collection?",
46
-
"time": "1:15 PM"
47
-
},
48
-
{
49
-
"id": "chat:2:2",
50
-
"sender": "me",
51
-
"text": "Of course! What price were you thinking?",
52
-
"time": "1:17 PM"
53
-
},
54
-
{
55
-
"id": "chat:2:3",
56
-
"sender": "them",
57
-
"text": "I was thinking around $150 for the whole collection. Is that doable?",
58
-
"time": "1:20 PM"
59
-
},
60
-
{
61
-
"id": "chat:2:4",
62
-
"sender": "me",
63
-
"text": "I could do $175, but that's my final offer. The records are in near mint condition.",
64
-
"time": "1:22 PM"
65
-
}
66
-
]
67
-
},
68
-
{
69
-
"id": "chat:3",
70
-
"sender": "Michael Brown",
71
-
"avatar": "MB",
72
-
"unread": false,
73
-
"messages": [
74
-
{
75
-
"id": "chat:3:1",
76
-
"sender": "them",
77
-
"text": "Thanks for the vintage camera! Can we arrange pickup tomorrow?",
78
-
"time": "Yesterday"
79
-
},
80
-
{
81
-
"id": "chat:3:2",
82
-
"sender": "me",
83
-
"text": "That sounds great! Would 2 PM work for you?",
84
-
"time": "Yesterday"
85
-
},
86
-
{
87
-
"id": "chat:3:3",
88
-
"sender": "them",
89
-
"text": "Yes, 2 PM is perfect. What's your address?",
90
-
"time": "Yesterday"
91
-
},
92
-
{
93
-
"id": "chat:3:4",
94
-
"sender": "me",
95
-
"text": "I'm at 123 Main Street, Apt 4B. Just ring the buzzer for Brown.",
96
-
"time": "Yesterday"
97
-
}
98
-
]
99
-
},
100
-
{
101
-
"id": "chat:4",
102
-
"sender": "Alex Wilson",
103
-
"avatar": "AW",
104
-
"unread": false,
105
-
"messages": [
106
-
{
107
-
"id": "chat:4:1",
108
-
"sender": "them",
109
-
"text": "I'm looking for similar items like your sound system.",
110
-
"time": "Monday"
111
-
},
112
-
{
113
-
"id": "chat:4:2",
114
-
"sender": "me",
115
-
"text": "What specifically are you looking for? I might know where to find similar items.",
116
-
"time": "Monday"
117
-
},
118
-
{
119
-
"id": "chat:4:3",
120
-
"sender": "them",
121
-
"text": "Vinyl record players and mid-century modern speakers.",
122
-
"time": "Monday"
123
-
},
124
-
{
125
-
"id": "chat:4:4",
126
-
"sender": "me",
127
-
"text": "I know a great shop downtown that specializes in exactly that. Want me to text you the address?",
128
-
"time": "Monday"
129
-
}
130
-
]
131
-
},
132
-
{
133
-
"id": "chat:5",
134
-
"sender": "Emily Davis",
135
-
"avatar": "ED",
136
-
"unread": false,
137
-
"messages": [
138
-
{
139
-
"id": "chat:5:1",
140
-
"sender": "them",
141
-
"text": "Can you provide more details about your furniture pieces?",
142
-
"time": "Last week"
143
-
},
144
-
{
145
-
"id": "chat:5:2",
146
-
"sender": "me",
147
-
"text": "Sure! The dining table is solid oak with a glass top, and the chairs are original mid-century design.",
148
-
"time": "Last week"
149
-
},
150
-
{
151
-
"id": "chat:5:3",
152
-
"sender": "them",
153
-
"text": "Are the chairs comfortable? I have back problems so seating is important to me.",
154
-
"time": "Last week"
155
-
},
156
-
{
157
-
"id": "chat:5:4",
158
-
"sender": "me",
159
-
"text": "Yes, they're very comfortable! The cushions are original and still in great shape. I can send you photos if you'd like.",
160
-
"time": "Last week"
161
-
}
162
-
]
163
-
}
164
-
]
165
-
},
166
-
"errors": []
167
-
}
-7
server/graphql/useProfileQuery.json
-7
server/graphql/useProfileQuery.json
-206
server/src/main.rs
-206
server/src/main.rs
···
1
-
use axum::{
2
-
response::Html,
3
-
routing::{get, on, MethodFilter},
4
-
Extension, Router,
5
-
};
6
-
use dotenv::dotenv;
7
-
use juniper::{graphql_object, EmptyMutation, EmptySubscription, RootNode};
8
-
use juniper_axum::{graphiql, graphql};
9
-
use serde::Deserialize;
10
-
use std::env;
11
-
use std::net::SocketAddr;
12
-
use std::sync::Arc;
13
-
use uuid::Uuid;
14
-
15
-
// Define our GraphQL schema types
16
-
#[derive(juniper::GraphQLObject, Deserialize, Debug)]
17
-
struct Me {
18
-
id: String,
19
-
}
20
-
21
-
#[derive(juniper::GraphQLObject, Deserialize, Debug)]
22
-
struct ProfileViewDetailed {
23
-
id: String,
24
-
did: String,
25
-
handle: String,
26
-
display_name: Option<String>,
27
-
description: Option<String>,
28
-
pronouns: Option<String>,
29
-
website: Option<String>,
30
-
avatar: Option<String>,
31
-
banner: Option<String>,
32
-
followers_count: Option<i32>,
33
-
follows_count: Option<i32>,
34
-
posts_count: Option<i32>,
35
-
}
36
-
37
-
#[derive(juniper::GraphQLObject, Deserialize, Debug)]
38
-
struct InventoryItem {
39
-
id: String,
40
-
title: String,
41
-
cost: String,
42
-
images: Vec<String>,
43
-
description: String,
44
-
location: Option<String>,
45
-
condition: Option<String>,
46
-
category: Option<String>,
47
-
posted_at: String,
48
-
}
49
-
50
-
#[derive(juniper::GraphQLEnum, Deserialize, Debug)]
51
-
enum Sender {
52
-
#[graphql(name = "them")]
53
-
#[serde(alias = "them")]
54
-
Them,
55
-
56
-
#[graphql(name = "me")]
57
-
#[serde(alias = "me")]
58
-
Me,
59
-
}
60
-
61
-
#[derive(juniper::GraphQLObject, Deserialize, Debug)]
62
-
struct Message {
63
-
id: String,
64
-
sender: Sender,
65
-
text: String,
66
-
time: String,
67
-
}
68
-
69
-
#[derive(juniper::GraphQLObject, Deserialize, Debug)]
70
-
struct Chat {
71
-
id: String,
72
-
unread: bool,
73
-
sender: String,
74
-
avatar: Option<String>,
75
-
messages: Vec<Message>,
76
-
}
77
-
78
-
/**
79
-
* Inventory Placeholder Query
80
-
*/
81
-
82
-
const USE_INVENTORY_QUERY: &'static str = include_str!("../graphql/useInventoryQuery.json");
83
-
84
-
#[derive(Deserialize, Debug)]
85
-
pub struct InventoryQueryRoot {
86
-
inventory: Vec<InventoryItem>,
87
-
}
88
-
89
-
#[derive(Deserialize, Debug)]
90
-
pub struct InventoryQuery {
91
-
data: InventoryQueryRoot,
92
-
}
93
-
94
-
/**
95
-
* Chat Placeholder Query
96
-
*/
97
-
98
-
const USE_CHAT_QUERY: &'static str = include_str!("../graphql/useMessagesQuery.json");
99
-
100
-
#[derive(Deserialize, Debug)]
101
-
pub struct ChatQueryRoot {
102
-
chats: Vec<Chat>,
103
-
}
104
-
105
-
#[derive(Deserialize, Debug)]
106
-
pub struct ChatQuery {
107
-
data: ChatQueryRoot,
108
-
}
109
-
110
-
/**
111
-
* Schema root
112
-
*/
113
-
114
-
// Define our GraphQL schema queries
115
-
#[derive(Clone, Copy, Debug)]
116
-
pub struct Query;
117
-
118
-
#[graphql_object]
119
-
impl Query {
120
-
async fn me(&self) -> Option<Me> {
121
-
Some(Me {
122
-
id: Uuid::new_v4().to_string(),
123
-
})
124
-
}
125
-
126
-
async fn profile_view_detailed(&self) -> Option<ProfileViewDetailed> {
127
-
Some(ProfileViewDetailed {
128
-
id: Uuid::new_v4().to_string(),
129
-
did: "did:example:123456789abcdefghi".to_string(),
130
-
handle: "testuser".to_string(),
131
-
display_name: Some("Test User".to_string()),
132
-
description: Some("Hello, I'm a test user!".to_string()),
133
-
pronouns: Some("they/them".to_string()),
134
-
website: Some("https://example.com".to_string()),
135
-
avatar: Some("https://example.com/avatar.jpg".to_string()),
136
-
banner: Some("https://example.com/banner.jpg".to_string()),
137
-
followers_count: Some(42),
138
-
follows_count: Some(15),
139
-
posts_count: Some(7),
140
-
})
141
-
}
142
-
143
-
async fn inventory(&self) -> Vec<InventoryItem> {
144
-
let a = serde_json::from_str(USE_INVENTORY_QUERY)
145
-
.map(|q: InventoryQuery| q.data.inventory)
146
-
.unwrap_or(vec![]);
147
-
dbg!(&serde_json::from_str::<InventoryQuery>(USE_INVENTORY_QUERY).err());
148
-
return a;
149
-
}
150
-
151
-
async fn chats(&self) -> Vec<Chat> {
152
-
let a = serde_json::from_str(USE_CHAT_QUERY)
153
-
.map(|q: ChatQuery| q.data.chats)
154
-
.unwrap_or(vec![]);
155
-
dbg!(&serde_json::from_str::<ChatQuery>(USE_CHAT_QUERY).err());
156
-
return a;
157
-
}
158
-
}
159
-
160
-
pub type Schema = RootNode<Query, EmptyMutation, EmptySubscription>;
161
-
162
-
async fn homepage() -> Html<String> {
163
-
Html(
164
-
"<html><h1>Mothball GraphQL API</h1>\
165
-
<div>Visit <a href=\"/graphiql\">GraphiQL</a> for the web-based IDE</div>\
166
-
<div>Access the API directly at <a href=\"/graphql\">/graphql</a></div>\
167
-
</html>"
168
-
.to_string(),
169
-
)
170
-
}
171
-
172
-
#[tokio::main]
173
-
async fn main() {
174
-
dotenv().ok();
175
-
176
-
// Load environment variables
177
-
let host = env::var("HOST").unwrap_or_else(|_| "0.0.0.0".to_string());
178
-
let port = env::var("PORT").unwrap_or_else(|_| "8080".to_string());
179
-
180
-
println!("Starting Mothball GraphQL server on {}:{}", host, port);
181
-
182
-
let schema = Schema::new(Query, EmptyMutation::new(), EmptySubscription::new());
183
-
184
-
let app = Router::new()
185
-
.route(
186
-
"/graphql",
187
-
on(
188
-
MethodFilter::GET.or(MethodFilter::POST),
189
-
graphql::<Arc<Schema>>,
190
-
),
191
-
)
192
-
.route("/graphiql", get(graphiql("/graphql", "/subscriptions")))
193
-
.route("/", get(homepage))
194
-
.layer(Extension(Arc::new(schema)));
195
-
196
-
let addr = format!("{}:{}", host, port)
197
-
.parse::<SocketAddr>()
198
-
.expect("Invalid socket address");
199
-
200
-
let listener = tokio::net::TcpListener::bind(addr)
201
-
.await
202
-
.unwrap_or_else(|e| panic!("failed to listen on {addr}: {e}"));
203
-
axum::serve(listener, app)
204
-
.await
205
-
.unwrap_or_else(|e| panic!("failed to run `axum::serve`: {e}"));
206
-
}
-13
tests/conftest.py
-13
tests/conftest.py
···
1
-
"""Test configuration and fixtures for the schema generation tests."""
2
-
3
-
import os
4
-
import sys
5
-
from pathlib import Path
6
-
7
-
# Add the project root to the Python path so we can import modules
8
-
sys.path.insert(0, str(Path(__file__).parent.parent))
9
-
10
-
11
-
def pytest_configure(config):
12
-
"""Add custom markers if needed."""
13
-
pass
-115
tests/test_schema_generation.py
-115
tests/test_schema_generation.py
···
1
-
"""Test for schema generation consistency."""
2
-
3
-
import os
4
-
import tempfile
5
-
from pathlib import Path
6
-
from typing import List
7
-
8
-
from schema.generate_lexicon_schema import generate_definitions, main
9
-
10
-
# Constant for the expected output file
11
-
EXPECTED_OUTPUT_FILE = "schema/schema-generated.graphql"
12
-
13
-
14
-
def test_schema_generation_consistency():
15
-
"""
16
-
Test that running the generate_lexicon_schema.py script produces consistent output.
17
-
This test ensures that the generated schema doesn't change unexpectedly.
18
-
"""
19
-
# Expected lexicon IDs from the command line
20
-
lexicon_ids = ["app.bsky.actor.getProfile", "com.atproto.server.getSession"]
21
-
22
-
# Generate the expected output using the function directly
23
-
generated_content = "\n\n".join(generate_definitions(lexicon_ids))
24
-
25
-
# Read the expected file if it exists
26
-
expected_file_path = Path(EXPECTED_OUTPUT_FILE)
27
-
if expected_file_path.exists():
28
-
with open(expected_file_path, "r") as f:
29
-
expected_content = f.read()
30
-
31
-
# Compare the generated content with the expected content
32
-
assert generated_content == expected_content, (
33
-
"Generated schema content does not match the expected file. "
34
-
"This could mean the schema has changed or the test needs to be updated."
35
-
)
36
-
37
-
else:
38
-
# If the expected file doesn't exist, create it with the current output
39
-
with open(expected_file_path, "w") as f:
40
-
f.write(generated_content)
41
-
print(f"Created new expected output file: {expected_file_path}")
42
-
43
-
44
-
def test_main_function_output():
45
-
"""
46
-
Test the main function by running it with the specified lexicon IDs
47
-
and verifying the output is consistent.
48
-
"""
49
-
# Expected lexicon IDs from the command line
50
-
lexicon_ids = ["app.bsky.actor.getProfile", "com.atproto.server.getSession"]
51
-
52
-
# Create a temporary file for testing
53
-
with tempfile.NamedTemporaryFile(
54
-
mode="w", suffix=".graphql", delete=False
55
-
) as tmp_file:
56
-
tmp_path = tmp_file.name
57
-
58
-
try:
59
-
# Run the main function with the lexicon IDs and output to temp file
60
-
main(lexicon_ids=lexicon_ids, output=tmp_path, append_schema=None)
61
-
62
-
# Read the generated content
63
-
with open(tmp_path, "r") as f:
64
-
generated_content = f.read()
65
-
66
-
# Read the expected file if it exists
67
-
expected_file_path = Path(EXPECTED_OUTPUT_FILE)
68
-
if expected_file_path.exists():
69
-
with open(expected_file_path, "r") as f:
70
-
expected_content = f.read()
71
-
72
-
# Compare the generated content with the expected content
73
-
assert generated_content == expected_content, (
74
-
"Generated schema content does not match the expected file. "
75
-
"This could mean the schema has changed or the test needs to be updated."
76
-
)
77
-
else:
78
-
# If the expected file doesn't exist, create it with the current output
79
-
with open(expected_file_path, "w") as f:
80
-
f.write(generated_content)
81
-
print(f"Created new expected output file: {expected_file_path}")
82
-
83
-
finally:
84
-
# Clean up the temporary file
85
-
if os.path.exists(tmp_path):
86
-
os.unlink(tmp_path)
87
-
88
-
89
-
def test_generate_definitions_function():
90
-
"""
91
-
Test the generate_definitions function directly to ensure it produces consistent output.
92
-
"""
93
-
# Expected lexicon IDs from the command line
94
-
lexicon_ids = ["app.bsky.actor.getProfile", "com.atproto.server.getSession"]
95
-
96
-
# Generate definitions using the function
97
-
generated_chunks = generate_definitions(lexicon_ids)
98
-
generated_content = "\n\n".join(generated_chunks)
99
-
100
-
# Read the expected file if it exists
101
-
expected_file_path = Path(EXPECTED_OUTPUT_FILE)
102
-
if expected_file_path.exists():
103
-
with open(expected_file_path, "r") as f:
104
-
expected_content = f.read()
105
-
106
-
# Compare the generated content with the expected content
107
-
assert generated_content == expected_content, (
108
-
"Generated schema content does not match the expected file. "
109
-
"This could mean the schema has changed or the test needs to be updated."
110
-
)
111
-
else:
112
-
# If the expected file doesn't exist, create it with the current output
113
-
with open(expected_file_path, "w") as f:
114
-
f.write(generated_content)
115
-
print(f"Created new expected output file: {expected_file_path}")