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4 changes: 4 additions & 0 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,10 @@ dependencies = [
"opentelemetry-api>=1.28.2",
]

[project.scripts]
lint = "lint:main"
format = "lint:main"

[tool.uv]
dev-dependencies = [
"deptry>=0.14.0",
Expand Down
17 changes: 17 additions & 0 deletions src/lint.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,17 @@
#!/usr/bin/env python

import os
import sys


def raise_err(code: int) -> None:
if code > 0:
sys.exit(1)


def main() -> None:
fix = ["--fix"] if "--fix" in sys.argv else []
raise_err(os.system(" ".join(["ruff", "check", "src"] + fix)))
raise_err(os.system("ruff format src"))
raise_err(os.system("mypy src"))
raise_err(os.system("pyright src"))
97 changes: 59 additions & 38 deletions src/replit_river/codegen/client.py
Original file line number Diff line number Diff line change
Expand Up @@ -35,8 +35,8 @@
TypeExpression,
TypeName,
UnionTypeExpr,
ensure_literal_type,
extract_inner_type,
render_literal_type,
render_type_expr,
)

Expand Down Expand Up @@ -167,7 +167,7 @@ def encode_type(
in_module: list[ModuleName],
permit_unknown_members: bool,
) -> Tuple[TypeExpression, list[ModuleName], list[FileContents], set[TypeName]]:
encoder_name: Optional[str] = None # defining this up here to placate mypy
encoder_name: TypeName | None = None # defining this up here to placate mypy
chunks: List[FileContents] = []
if isinstance(type, RiverNotType):
return (TypeName("None"), [], [], set())
Expand Down Expand Up @@ -234,7 +234,7 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
and prop.const is not None
].pop()
one_of_pending.setdefault(
f"{prefix}OneOf_{discriminator_value}",
f"{render_literal_type(prefix)}OneOf_{discriminator_value}",
(discriminator_value, []),
)[1].append(oneof_t)

Expand Down Expand Up @@ -270,12 +270,13 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
oneof_t.properties.keys()
).difference(common_members)
encoder_name = TypeName(
f"encode_{ensure_literal_type(type_name)}"
f"encode_{render_literal_type(type_name)}"
)
encoder_names.add(encoder_name)
_field_name = render_literal_type(encoder_name)
typeddict_encoder.append(
f"""\
{encoder_name}(x) # type: ignore[arg-type]
{_field_name}(x) # type: ignore[arg-type]
""".strip()
)
if local_discriminators:
Expand All @@ -299,12 +300,14 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
one_of.append(type_name)
chunks.extend(contents)
encoder_name = TypeName(
f"encode_{ensure_literal_type(type_name)}"
f"encode_{render_literal_type(type_name)}"
)
# TODO(dstewart): Figure out why uncommenting this breaks
# generated code
# encoder_names.add(encoder_name)
typeddict_encoder.append(f"{encoder_name}(x)")
typeddict_encoder.append(
f"{render_literal_type(encoder_name)}(x)"
)
typeddict_encoder.append(
f"""
if x[{repr(discriminator_name)}]
Expand All @@ -317,19 +320,27 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
union = OpenUnionTypeExpr(UnionTypeExpr(one_of))
else:
union = UnionTypeExpr(one_of)
chunks.append(FileContents(f"{prefix} = {render_type_expr(union)}"))
chunks.append(
FileContents(
f"{render_literal_type(prefix)} = {render_type_expr(union)}"
)
)
chunks.append(FileContents(""))

if base_model == "TypedDict":
encoder_name = TypeName(f"encode_{prefix}")
encoder_name = TypeName(f"encode_{render_literal_type(prefix)}")
encoder_names.add(encoder_name)
_field_name = render_literal_type(encoder_name)
_field_type = (
f"Callable[[{repr(render_literal_type(prefix))}], Any]"
)
chunks.append(
FileContents(
"\n".join(
[
dedent(
f"""\
{encoder_name}: Callable[[{repr(prefix)}], Any] = (
{_field_name}: {_field_type} = (
lambda x:
""".rstrip()
)
Expand All @@ -349,7 +360,7 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
for i, t in enumerate(type.anyOf):
type_name, _, contents, _ = encode_type(
t,
TypeName(f"{prefix}AnyOf_{i}"),
TypeName(f"{render_literal_type(prefix)}AnyOf_{i}"),
base_model,
in_module,
permit_unknown_members=permit_unknown_members,
Expand All @@ -366,7 +377,7 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
match type_name:
case ListTypeExpr(inner_type_name):
typeddict_encoder.append(
f"encode_{ensure_literal_type(inner_type_name)}(x)"
f"encode_{render_literal_type(inner_type_name)}(x)"
)
case DictTypeExpr(_):
raise ValueError(
Expand All @@ -377,25 +388,26 @@ def flatten_union(tpe: RiverType) -> list[RiverType]:
typeddict_encoder.append(repr(const))
case other:
typeddict_encoder.append(
f"encode_{ensure_literal_type(other)}(x)"
f"encode_{render_literal_type(other)}(x)"
)
if permit_unknown_members:
union = OpenUnionTypeExpr(UnionTypeExpr(any_of))
else:
union = UnionTypeExpr(any_of)
if is_literal(type):
typeddict_encoder = ["x"]
chunks.append(FileContents(f"{prefix} = {render_type_expr(union)}"))
chunks.append(
FileContents(f"{render_literal_type(prefix)} = {render_type_expr(union)}")
)
if base_model == "TypedDict":
encoder_name = TypeName(f"encode_{prefix}")
encoder_name = TypeName(f"encode_{render_literal_type(prefix)}")
encoder_names.add(encoder_name)
_field_name = render_literal_type(encoder_name)
_field_type = f"Callable[[{repr(render_literal_type(prefix))}], Any]"
chunks.append(
FileContents(
"\n".join(
[
f"{encoder_name}: Callable[[{repr(prefix)}], Any] = ("
"lambda x: "
]
[f"{_field_name}: {_field_type} = (lambda x: "]
+ typeddict_encoder
+ [")"]
)
Expand Down Expand Up @@ -491,7 +503,7 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
match type_name:
case ListTypeExpr(inner_type_name):
typeddict_encoder.append(
f"encode_{ensure_literal_type(inner_type_name)}(x)"
f"encode_{render_literal_type(inner_type_name)}(x)"
)
case DictTypeExpr(_):
raise ValueError(
Expand All @@ -500,11 +512,13 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
case LiteralTypeExpr(const):
typeddict_encoder.append(repr(const))
case other:
typeddict_encoder.append(f"encode_{ensure_literal_type(other)}(x)")
typeddict_encoder.append(f"encode_{render_literal_type(other)}(x)")
return (DictTypeExpr(type_name), module_info, type_chunks, encoder_names)
assert type.type == "object", type.type

current_chunks: List[str] = [f"class {prefix}({base_model}):"]
current_chunks: List[str] = [
f"class {render_literal_type(prefix)}({base_model}):"
]
# For the encoder path, do we need "x" to be bound?
# lambda x: ... vs lambda _: {}
needs_binding = False
Expand All @@ -519,7 +533,7 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
typeddict_encoder.append(f"{repr(name)}:")
type_name, _, contents, _ = encode_type(
prop,
TypeName(prefix + name.title()),
TypeName(prefix.value + name.title()),
base_model,
in_module,
permit_unknown_members=permit_unknown_members,
Expand All @@ -531,17 +545,19 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
typeddict_encoder.append("'not implemented'")
elif isinstance(prop, RiverUnionType):
encoder_name = TypeName(
f"encode_{ensure_literal_type(type_name)}"
f"encode_{render_literal_type(type_name)}"
)
encoder_names.add(encoder_name)
typeddict_encoder.append(f"{encoder_name}(x[{repr(name)}])")
typeddict_encoder.append(
f"{render_literal_type(encoder_name)}(x[{repr(name)}])"
)
if name not in type.required:
typeddict_encoder.append(
f"if {repr(name)} in x and x[{repr(name)}] else None"
)
elif isinstance(prop, RiverIntersectionType):
encoder_name = TypeName(
f"encode_{ensure_literal_type(type_name)}"
f"encode_{render_literal_type(type_name)}"
)
encoder_names.add(encoder_name)
typeddict_encoder.append(f"{encoder_name}(x[{repr(name)}])")
Expand All @@ -552,11 +568,11 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
safe_name = name
if prop.type == "object" and not prop.patternProperties:
encoder_name = TypeName(
f"encode_{ensure_literal_type(type_name)}"
f"encode_{render_literal_type(type_name)}"
)
encoder_names.add(encoder_name)
typeddict_encoder.append(
f"{encoder_name}(x[{repr(safe_name)}])"
f"{render_literal_type(encoder_name)}(x[{repr(safe_name)}])"
)
if name not in prop.required:
typeddict_encoder.append(
Expand All @@ -582,14 +598,14 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:
match type_name:
case ListTypeExpr(inner_type_name):
encoder_name = TypeName(
f"encode_{ensure_literal_type(inner_type_name)}"
f"encode_{render_literal_type(inner_type_name)}"
)
encoder_names.add(encoder_name)
typeddict_encoder.append(
dedent(
f"""\
[
{encoder_name}(y)
{render_literal_type(encoder_name)}(y)
for y in x[{repr(name)}]
]
""".rstrip()
Expand Down Expand Up @@ -679,16 +695,18 @@ def extract_props(tpe: RiverType) -> list[dict[str, RiverType]]:

if base_model == "TypedDict":
binding = "x" if needs_binding else "_"
encoder_name = TypeName(f"encode_{prefix}")
encoder_name = TypeName(f"encode_{render_literal_type(prefix)}")
encoder_names.add(encoder_name)
_field_name = render_literal_type(encoder_name)
_field_type = f"Callable[[{repr(render_literal_type(prefix))}], Any]"
current_chunks.insert(
0,
FileContents(
"\n".join(
[
dedent(
f"""\
{encoder_name}: Callable[[{repr(prefix)}], Any] = (
{_field_name}: {_field_type} = (
lambda {binding}:
"""
)
Expand Down Expand Up @@ -847,7 +865,7 @@ def __init__(self, client: river.Client[Any]):
f"lambda xs: [encode_{init_type_name}(x) for x in xs]"
)
else:
render_init_method = f"encode_{ensure_literal_type(init_type)}"
render_init_method = f"encode_{render_literal_type(init_type)}"
else:
render_init_method = f"""\
lambda x: TypeAdapter({render_type_expr(init_type)})
Expand All @@ -870,11 +888,11 @@ def __init__(self, client: river.Client[Any]):
case ListTypeExpr(input_type_name):
render_input_method = f"""\
lambda xs: [
encode_{ensure_literal_type(input_type_name)}(x) for x in xs
encode_{render_literal_type(input_type_name)}(x) for x in xs
]
"""
else:
render_input_method = f"encode_{ensure_literal_type(input_type)}"
render_input_method = f"encode_{render_literal_type(input_type)}"
else:
render_input_method = f"""\
lambda x: TypeAdapter({render_type_expr(input_type)})
Expand Down Expand Up @@ -957,9 +975,9 @@ async def {name}(
f"""\
async def {name}(
self,
init: {init_type},
init: {render_type_expr(init_type)},
inputStream: AsyncIterable[{render_type_expr(input_type)}],
) -> {output_type}:
) -> {render_type_expr(output_type)}:
return await self.client.send_upload(
{repr(schema_name)},
{repr(name)},
Expand Down Expand Up @@ -1069,8 +1087,11 @@ async def {name}(
existing = emitted_files.get(file_path, FileContents(FILE_HEADER))
emitted_files[file_path] = FileContents("\n".join([existing] + contents))

def render_names(xs: set[TypeName]) -> str:
return ", ".join(sorted(render_literal_type(x) for x in xs))

rendered_imports = [
f"from .{dotted_modules} import {', '.join(sorted(names))}"
f"from .{dotted_modules} import {render_names(names)}"
for dotted_modules, names in imports.items()
]

Expand Down
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