ROLLOUT 5 · mirumee/ariadne
mirumee__ariadne-24
Solved
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16tool calls
18model calls
7,475tokens generated
138,488prompt tokens read
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⚠ The request log has 17 model calls but the trace has 19 agent calls, so tokens are listed separately instead of beside each turn.
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System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`. Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run. ## Critical Environment & Grader Rules 1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`. 2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files. 3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`. 4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks: `pytest path/to/test_file.py -k pattern -q --tb=short --no-header` If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off. 5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission. ## Execution Protocol ### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls) - The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories. - Run a single compound `run_command` with `grep -rn --include="*.py"` to locate: (a) the exact symbols, error strings, or functions from the problem description, (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and (c) the closest existing unit test files under `tests/`. ### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls) - Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests. - Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types. ### Phase 3 — Reproduce Bug in One Call (1 tool call) - Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts. ### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls) - Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`. - Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests. - **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`. ### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls) - Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`. - Run `git status --short && git diff` via `run_command`. Confirm: - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately), - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched), - Minimal, clean diff with valid imports and indentation. - Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 2,367 characters
You are evaluating a software engineering task for repository mirumee/ariadne.
Problem Statement:
`add_resolve_functions_to_schema` should support Scalars parse_value and parse_literal
Currently Ariadne Scalar support is limited to serializing python types to JSON before returning them to client, but we also want to support using custom scalars for input.
Our `add_resolve_functions_to_scalar` utility could support following use-cases:
Code below results in one-way only scalar:
- `type_defs = {'Scalar': {'serialize': callable}}`
And this code results in two-way scalar:
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}` - explicit syntax for two-directional scalar.
## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns
## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.
## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./LICENSE
./README.md
./ariadne
./ariadne/__init__.py
./ariadne/build_schema.py
./ariadne/executable_schema.py
./ariadne/resolvers.py
./setup.py
./tests
```
Turn 1at 16 s212 tokens out2,614 prompt tokens
The user wants to add support for `parse_value` and `parse_literal` to `add_resolve_functions_to_schema` (likely `add_resolve_functions_to_scalar` based on the problem description) in Ariadne. Currently, only `serialize` is supported. I need to find where `add_resolve_functions_to_schema` or `add_resolve_functions_to_scalar` is defined and update it to handle `parse_value` and `parse_literal`. Wait, the problem statement says `add_resolve_functions_to_schema` should support Scalars parse_value and parse_literal, and then it mentions `add_resolve_functions_to_scalar`. I should check both. Let's start by searching for these functions in the codebase.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"add_resolve_functions\" /workspace/ariadne"
}Result of run_command 804 characters
{
"status": "ok",
"stdout": "/workspace/ariadne/executable_schema.py:6:from .resolvers import add_resolve_functions_to_schema\n/workspace/ariadne/executable_schema.py:13: add_resolve_functions_to_schema(schema, resolvers)\n/workspace/ariadne/__init__.py:3:from .resolvers import add_resolve_functions_to_schema, default_resolver, resolve_to\n/workspace/ariadne/__init__.py:6: \"add_resolve_functions_to_schema\",\n/workspace/ariadne/resolvers.py:22:def add_resolve_functions_to_schema(schema: GraphQLSchema, resolvers: dict):\n/workspace/ariadne/resolvers.py:25: add_resolve_functions_to_object(type_name, type_object, resolvers)\n/workspace/ariadne/resolvers.py:30:def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers: dict):\n",
"stderr": "",
"exit_code": 0
}Turn 2at 22 s131 tokens out3,092 prompt tokens
The grep results show `add_resolve_functions_to_schema` in `ariadne/resolvers.py`. I didn't see `add_resolve_functions_to_scalar` in the grep results, maybe it's called something else or I missed it. Wait, the problem statement says `add_resolve_functions_to_scalar`. Let me search for `scalar` and `resolve` in `ariadne/resolvers.py`.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"scalar\" /workspace/ariadne/resolvers.py"
}Result of run_command 234 characters
{
"status": "ok",
"stdout": "27: add_resolve_function_to_scalar(type_name, type_object, resolvers)\n37:def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n",
"stderr": "",
"exit_code": 0
}Turn 3at 26 s60 tokens out3,314 prompt tokens
Ah, it's `add_resolve_function_to_scalar` (singular `function` instead of `functions`). Let's read `ariadne/resolvers.py`.
TOOL CALL · read_file
{
"filepath": "ariadne/resolvers.py"
}Result of read_file 1,582 characters
{
"status": "ok",
"filepath": "ariadne/resolvers.py",
"content": "from graphql import GraphQLObjectType, GraphQLScalarType, GraphQLSchema\nfrom graphql.execution.base import ResolveInfo\n\n\ndef resolve_parent_field(parent, name: str):\n if isinstance(parent, dict):\n return parent.get(name)\n return getattr(parent, name, None)\n\n\ndef default_resolver(parent, info: ResolveInfo):\n return resolve_parent_field(parent, info.field_name)\n\n\ndef resolve_to(name: str):\n def resolver(parent, *_):\n return resolve_parent_field(parent, name)\n\n return resolver\n\n\ndef add_resolve_functions_to_schema(schema: GraphQLSchema, resolvers: dict):\n for type_name, type_object in schema.get_type_map().items():\n if isinstance(type_object, GraphQLObjectType):\n add_resolve_functions_to_object(type_name, type_object, resolvers)\n if isinstance(type_object, GraphQLScalarType):\n add_resolve_function_to_scalar(type_name, type_object, resolvers)\n\n\ndef add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers: dict):\n type_resolver = resolvers.get(name, {})\n for field_name, field_object in obj.fields.items():\n field_resolver = type_resolver.get(field_name, default_resolver)\n field_object.resolver = field_resolver\n\n\ndef add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n serializer = resolvers.get(name, obj.serialize)\n obj.serialize = serializer",
"start_line": 1,
"end_line": 39,
"total_lines": 39,
"is_truncated": false
}Turn 4at 114 s1,442 tokens out3,846 prompt tokens
Wait, look at `add_resolve_function_to_scalar`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
Actually, it's taking `obj: GraphQLObjectType` as a type hint, but it's called when `type_object` is `GraphQLScalarType`. And it only handles `serialize`.
It should be:
1. Fixing the type hint for `obj` to `GraphQLScalarType`.
2. Supporting `parse_value` and `parse_literal` from the `resolvers` dict.
If `resolvers[name]` is a dictionary, it should be able to contain `serialize`, `parse_value`, and `parse_literal`.
Current implementation:
```python
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` returns a dict, then `obj.serialize` becomes that dict, which is wrong.
Wait, if `resolvers` is:
```python
resolvers = {
'Scalar': {
'serialize': lambda val: str(val),
'parse_value': lambda val: int(val),
'parse_literal': lambda val: int(val.value),
}
}
```
Then `resolvers.get('Scalar')` is the dict. And `obj.serialize` becomes the dict.
But wait, look at `add_resolve_functions_to_object`:
```python
def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers: dict):
type_resolver = resolvers.get(name, {})
for field_name, field_object in obj.fields.items():
field_resolver = type_resolver.get(field_name, default_resolver)
field_object.resolver = field_resolver
```
Here `type_resolver` is expected to be a dict mapping field names to resolvers.
For scalars, it seems it was expected to be:
`resolvers = {'Scalar': serialize_callable}`
But the problem description says:
- `type_defs = {'Scalar': {'serialize': callable}}`
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`
Wait, the problem says `type_defs`, but it probably means `resolvers`.
Let's re-read:
"Our `add_resolve_functions_to_scalar` utility could support following use-cases:
Code below results in one-way only scalar:
- `type_defs = {'Scalar': {'serialize': callable}}`
And this code results in two-way scalar:
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`"
So it seems Ariadne wants to support a dict of functions for each scalar.
Current implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `{'serialize': ...}`, then `obj.serialize` is set to that dict. That's definitely not right for `graphql-core`.
Wait, is it possible that the current implementation expects `resolvers[name]` to be the serializer itself?
Yes, if `resolvers = {'Scalar': my_serialize_func}`, then it works.
But the user wants to support a dict.
If `resolvers[name]` is a dict, we should use its keys to set `serialize`, `parse_value`, and `parse_literal`.
If `resolvers[name]` is a callable, we should probably treat it as the `serialize` function (to maintain backward compatibility, if any). Actually, the problem says:
`type_defs = {'Scalar': {'serialize': callable}}`
This implies that `resolvers[name]` is expected to be a dict.
Let's look at `add_resolve_functions_to_scalar` again.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
It currently doesn't check if `resolvers.get(name)` is a dict.
If I change it to:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name, {})
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serializer
obj.serialize = scalar_resolvers if scalar_resolvers else obj.serialize
```
Wait, if `scalar_resolvers` is `None` because `resolvers.get(name)` is `None` (defaulting to `{}`), then `isinstance({}, dict)` is true.
If `resolvers = {'Scalar': my_serialize_func}`, then `scalar_resolvers` is `my_serialize_func`, and `isinstance` is false.
Wait, `obj.serialize` is a property of `GraphQLScalarType`.
Let's check what `GraphQLScalarType` has.
In `graphql-core`, `GraphQLScalarType` has `serialize`, `parse_value`, and `parse_literal`.
Wait, is `obj` actually a `GraphQLScalarType`?
In `add_resolve_functions_to_schema`:
```python
if isinstance(type_object, GraphQLScalarType):
add_resolve_function_to_scalar(type_name, type_object, resolvers)
```
Yes, it is. The type hint `GraphQLObjectType` in `add_resolve_function_to_scalar` is wrong.
Let's see if there are existing tests for scalars.
TOOL CALL · run_command
{
"command": "find tests -name \"*scalar*\""
}Result of run_command 60 characters
{
"status": "ok",
"stdout": "",
"stderr": "",
"exit_code": 0
}Turn 5at 118 s46 tokens out5,325 prompt tokens
No tests with "scalar" in the name. Let's search for "Scalar" in all tests.
TOOL CALL · run_command
{
"command": "grep -rn \"Scalar\" tests/"
}Result of run_command 127 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
}
}Turn 6at 122 s53 tokens out5,426 prompt tokens
Wait, `grep -rn "Scalar" tests/` failed? Maybe there are no tests using scalars. Let me check `tests/` content.
TOOL CALL · run_command
{
"command": "ls -R tests/"
}Result of run_command 142 characters
{
"status": "ok",
"stdout": "tests/:\n__init__.py\ntest_modularization.py\ntest_mutations.py\ntest_queries.py\n",
"stderr": "",
"exit_code": 0
}Turn 7at 159 s647 tokens out5,550 prompt tokens
Okay, very few tests.
Let's try to reproduce the issue first.
I'll create a reproduction script. I need to use `ariadne` and `graphql-core`.
```python
from graphql import GraphQLSchema, GraphQLScalarType, GraphQLObjectType, GraphQLString, GraphQLField, GraphQLNonNull
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from ariadne.resolvers import add_resolve_function_to_scalar
# Mock a schema
# In a real scenario, we'd use make_executable_schema
# but I can just build one manually or use a simple type_defs
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
from ariadne import make_executable_schema
schema = make_executable_schema(type_defs)
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Serialize: {my_scalar.serialize('foo')}")
# This should fail or not work as expected currently.
```
Let's see how it behaves currently.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ntype_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n\"\"\"\n\nschema = make_executable_schema(type_defs)\nresolvers = {\n 'MyScalar': {\n 'serialize': lambda v: f\"serialized({v})\",\n 'parse_value': lambda v: f\"parsed_value({v})\",\n 'parse_literal': lambda v: f\"parsed_literal({v})\",\n }\n}\n\nadd_resolve_functions_to_schema(schema, resolvers)\n\nmy_scalar = schema.get_type('MyScalar')\nprint(f\"Serialize: {my_scalar.serialize('foo')}\")\ntry:\n print(f\"Parse Value: {my_scalar.parse_value('foo')}\")\nexcept Exception as e:\n print(f\"Parse Value Error: {e}\")\ntry:\n # parse_literal takes an AST node, but let's just see if it's callable\n print(f\"Parse Literal: {my_scalar.parse_literal('foo')}\")\nexcept Exception as e:\n print(f\"Parse Literal Error: {e}\")\nPY\n"
}Result of run_command 461 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 11, in <module>\nTypeError: make_executable_schema() missing 1 required positional argument: 'resolvers'\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 11, in <module>\nTypeError: make_executable_schema() missing 1 required positional argument: 'resolvers'\n",
"exit_code": 1
}
}Turn 8at 172 s348 tokens out6,344 prompt tokens
Ah, `make_executable_schema` requires `resolvers`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ntype_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n\"\"\"\n\nschema = make_executable_schema(type_defs, resolvers={})\nresolvers = {\n 'MyScalar': {\n 'serialize': lambda v: f\"serialized({v})\",\n 'parse_value': lambda v: f\"parsed_value({v})\",\n 'parse_literal': lambda v: f\"parsed_literal({v})\",\n }\n}\n\nadd_resolve_functions_to_schema(schema, resolvers)\n\nmy_scalar = schema.get_type('MyScalar')\nprint(f\"Scalar type: {type(my_scalar)}\")\ntry:\n print(f\"Serialize: {my_scalar.serialize('foo')}\")\nexcept Exception as e:\n print(f\"Serialize Error: {e}\")\ntry:\n print(f\"Parse Value: {my_scalar.parse_value('foo')}\")\nexcept Exception as e:\n print(f\"Parse Value Error: {e}\")\ntry:\n print(f\"Parse Literal: {my_scalar.parse_literal('foo')}\")\nexcept Exception as e:\n print(f\"Parse Literal Error: {e}\")\nPY\n"
}Result of run_command 216 characters
{
"status": "ok",
"stdout": "Scalar type: <class 'graphql.type.definition.GraphQLScalarType'>\nSerialize Error: 'dict' object is not callable\nParse Value: False\nParse Literal: False\n",
"stderr": "",
"exit_code": 0
}Turn 9at 258 s1,746 tokens out6,772 prompt tokens
As expected:
1. `my_scalar.serialize` is now the dict `{'serialize': ..., 'parse_value': ..., 'parse_literal': ...}`, so calling it raises `TypeError: 'dict' object is not callable`.
2. `my_scalar.parse_value` and `my_scalar.parse_literal` are the defaults from `GraphQLScalarType`, which return `False` or similar (actually `GraphQLScalarType`'s default `parse_value` is `None` or some default implementation, let's check). Wait, the output said `Parse Value: False`.
Wait, `GraphQLScalarType` defaults for `parse_value` and `parse_literal` are actually slightly different in `graphql-core`.
The point is that `serialize` is broken and the others are not updated.
Now I will apply the fix in `ariadne/resolvers.py`.
I need to:
1. Change `GraphQLObjectType` to `GraphQLScalarType` in `add_resolve_function_to_scalar` type hint.
2. Handle the case where `resolvers.get(name)` is either a dict or a callable.
Wait, if `resolvers.get(name)` is a callable, it should probably be used as the `serialize` function for backward compatibility.
Let's see:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serialize
obj.serialize = scalar_resolvers
```
Wait, what if `obj.serialize` is not available? `GraphQLScalarType` usually has it.
Let's double check the original implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `None` (because `name` is not in `resolvers`), it uses `obj.serialize`.
My proposed implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
This looks correct and maintains backward compatibility for when `resolvers[name]` is just a function.
Wait, let's see if there's any other place where scalars are handled. I already checked `ariadne/resolvers.py`.
`add_resolve_functions_to_schema` calls `add_resolve_function_to_scalar`.
Let's check if `GraphQLScalarType` is imported in `ariadne/resolvers.py`.
Yes, it is: `from graphql import GraphQLObjectType, GraphQLScalarType, GraphQLSchema`.
Wait, in `ariadne/resolvers.py`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
The type hint says `GraphQLObjectType` but it's called with a `GraphQLScalarType`. That's a bug too.
Let's prepare the `edit_file` call.
Original code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
New code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
Wait, let me verify if `obj.serialize`, `obj.parse_value`, `obj.parse_literal` exist on `GraphQLScalarType` instances. Yes, they do.
Let's refine the implementation to be as compact as possible but clear.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
elif scalar_resolvers is not None:
obj.serialize = scalar_resolvers
```
One more thing: if `resolvers.get(name)` is a dict, but it's an empty dict, it should probably not change anything.
`scalar_resolvers.get('serialize', obj.serialize)` will return `obj.serialize` if 'serialize' is missing. This is correct.
What if `resolvers` is:
```python
resolvers = {
'MyScalar': {
'serialize': None
}
}
```
Then `obj.serialize` becomes `None`. Is that allowed? Yes, you might want to disable serialization.
Wait, let's check if I should use `getattr(obj, 'serialize', None)` instead of `obj.serialize` if I'm not sure they exist. But they should exist on `GraphQLScalarType`.
Actually, `GraphQLScalarType` in `graphql-core` has these as attributes.
Let's apply the fix.
TOOL CALL · edit_file
{
"filepath": "ariadne/resolvers.py",
"new_string": "def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):\n scalar_resolvers = resolvers.get(name)\n if isinstance(scalar_resolvers, dict):\n obj.serialize = scalar_resolvers.get('serialize', obj.serialize)\n obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)\n obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)\n elif scalar_resolvers is not None:\n obj.serialize = scalar_resolvers\n Planck",
"old_string": "def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n serializer = resolvers.get(name, obj.serialize)\n obj.serialize = serializer\n Planck"
}Result of edit_file 206 characters
{
"status": "error",
"error_type": "FileEditError",
"error_message": "Failed to replace: old_string not found. Ensure you're not escaping content incorrectly and check whitespace, indentation, and context."
}Turn 10at 268 s154 tokens out8,583 prompt tokens
Ah, I added " Planck" to the strings for some reason. My bad. Let's try again without " Planck".
Wait, I should also check for any trailing whitespace or something.
Original:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
(Line 37-39)
Let me read the file again to be sure about the characters.
TOOL CALL · read_file
{
"end_line": 39,
"filepath": "ariadne/resolvers.py",
"start_line": 37
}Result of read_file 315 characters
{
"status": "ok",
"filepath": "ariadne/resolvers.py",
"content": "def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n serializer = resolvers.get(name, obj.serialize)\n obj.serialize = serializer",
"start_line": 37,
"end_line": 39,
"total_lines": 39,
"is_truncated": false
}Turn 11at 275 s230 tokens out8,853 prompt tokens
Okay, let's try the `edit_file` again.
TOOL CALL · edit_file
{
"filepath": "ariadne/resolvers.py",
"new_string": "def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):\n scalar_resolvers = resolvers.get(name)\n if isinstance(scalar_resolvers, dict):\n obj.serialize = scalar_resolvers.get('serialize', obj.serialize)\n obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)\n obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)\n elif scalar_resolvers is not None:\n obj.serialize = scalar_resolvers\n",
"old_string": "def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n serializer = resolvers.get(name, obj.serialize)\n obj.serialize = serializer\n"
}Result of edit_file 941 characters
{
"status": "ok",
"filepath": "ariadne/resolvers.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/ariadne/resolvers.py\n+++ b/ariadne/resolvers.py\n@@ -34,6 +34,11 @@\n field_object.resolver = field_resolver\n \n \n-def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n- serializer = resolvers.get(name, obj.serialize)\n- obj.serialize = serializer\n+def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):\n+ scalar_resolvers = resolvers.get(name)\n+ if isinstance(scalar_resolvers, dict):\n+ obj.serialize = scalar_resolvers.get('serialize', obj.serialize)\n+ obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)\n+ obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)\n+ elif scalar_resolvers is not None:\n+ obj.serialize = scalar_resolvers\n",
"is_truncated": false
}Turn 12at 286 s349 tokens out9,386 prompt tokens
Now let's run the reproduction script again to verify the fix.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ntype_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n\"\"\"\n\nschema = make_executable_schema(type_defs, resolvers={})\nresolvers = {\n 'MyScalar': {\n 'serialize': lambda v: f\"serialized({v})\",\n 'parse_value': lambda v: f\"parsed_value({v})\",\n 'parse_literal': lambda v: f\"parsed_literal({v})\",\n }\n}\n\nadd_resolve_functions_to_schema(schema, resolvers)\n\nmy_scalar = schema.get_type('MyScalar')\nprint(f\"Scalar type: {type(my_scalar)}\")\ntry:\n print(f\"Serialize: {my_scalar.serialize('foo')}\")\nexcept Exception as e:\n print(f\"Serialize Error: {e}\")\ntry:\n print(f\"Parse Value: {my_scalar.parse_value('foo')}\")\nexcept Exception as e:\n print(f\"Parse Value Error: {e}\")\ntry:\n print(f\"Parse Literal: {my_scalar.parse_literal('foo')}\")\nexcept Exception as e:\n print(f\"Parse Literal Error: {e}\")\nPY\n"
}Result of run_command 222 characters
{
"status": "ok",
"stdout": "Scalar type: <class 'graphql.type.definition.GraphQLScalarType'>\nSerialize: serialized(foo)\nParse Value: parsed_value(foo)\nParse Literal: parsed_literal(foo)\n",
"stderr": "",
"exit_code": 0
}Turn 13at 321 s552 tokens out9,818 prompt tokens
Great! It works. Now let's test the backward compatibility cases: 1. `resolvers[name]` is a callable (should be used as `serialize`). 2. `resolvers[name]` is missing.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ndef test_scalar(serialize_func, parse_val_func, parse_lit_func, resolvers_config, name='MyScalar'):\n type_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n \"\"\"\n schema = make_executable_schema(type_defs, resolvers={})\n \n add_resolve_functions_to_schema(schema, resolvers_config)\n my_scalar = schema.get_type(name)\n \n # Note: In graphql-core, GraphQLScalarType might have default implementations\n # We want to check if our functions were assigned.\n \n # This is slightly tricky because we don't know the default.\n # But we can check if the function is the one we passed.\n \n if serialize_func and my_scalar.serialize != serialize_func:\n print(f\"Serialize Fail\")\n return False\n if parse_val_func and my_scalar.parse_value != parse_val_func:\n print(f\"Parse Value Fail\")\n return False\n if parse_lit_func and my_scalar.parse_literal != parse_lit_func:\n print(f\"Parse Literal Fail\")\n return False\n \n print(\"Success\")\n return True\n\n# Case 1: Full dict\ns = lambda v: f\"s({v})\"\npv = lambda v: f\"pv({v})\"\npl = lambda v: f\"pl({v})\"\ntest_scalar(s, pv, pl, {'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})\n\n# Case 2: Partial dict (only serialize)\ntest_scalar(s, None, None, {'MyScalar': {'serialize': s}})\n\n# Case 3: Callable (backward compatibility)\ntest_scalar(s, None, None, {'MyScalar': s})\n\n# Case 4: Missing\ntest_scalar(None, None, None, {})\nPY\n"
}Result of run_command 96 characters
{
"status": "ok",
"stdout": "Success\nSuccess\nSuccess\nSuccess\n",
"stderr": "",
"exit_code": 0
}Turn 14at 351 s644 tokens out10,420 prompt tokens
Wait, in Case 2, `test_scalar(s, None, None, {'MyScalar': {'serialize': s}})`:
`pv` is `None`, so it doesn't check `my_scalar.parse_value`.
I should check if it's STILL the default value.
Let's refine the test script to be more rigorous.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ndef get_default_scalar():\n # Use a fresh schema to get default scalar behavior\n schema = make_executable_schema(\"scalar MyScalar\", resolvers={})\n return schema.get_type('MyScalar')\n\ndef run_test(resolvers_config, name='MyScalar'):\n type_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n \"\"\"\n schema = make_executable_schema(type_defs, resolvers={})\n default_scalar = get_default_scalar()\n \n add_resolve_functions_to_schema(schema, resolvers_config)\n my_scalar = schema.get_type(name)\n \n return {\n 'serialize': my_scalar.serialize,\n 'parse_value': my_scalar.parse_value,\n 'parse_literal': my_scalar.parse_literal,\n 'default': default_scalar\n }\n\n# Functions\ns = lambda v: f\"s({v})\"\npv = lambda v: f\"pv({v})\"\npl = lambda v: f\"pl({v})\"\n\n# Case 1: Full dict\nres = run_test({'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})\nassert res['serialize'] == s\nassert res['parse_value'] == pv\nassert res['parse_literal'] == pl\n\n# Case 2: Partial dict (only serialize)\nres = run_test({'MyScalar': {'serialize': s}})\nassert res['serialize'] == s\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\n# Case 3: Callable (backward compatibility)\nres = run_test({'MyScalar': s})\nassert res['serialize'] == s\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\n# Case 4: Missing\nres = run_test({})\nassert res['serialize'] == res['default'].serialize\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\nprint(\"All tests passed!\")\nPY\n"
}Result of run_command 1,531 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 35, in <module>\n File \"<stdin>\", line 17, in run_test\n File \"<stdin>\", line 6, in get_default_scalar\n File \"/workspace/ariadne/executable_schema.py\", line 12, in make_executable_schema\n schema = build_schema_from_type_definitions(type_defs)\n File \"/workspace/ariadne/build_schema.py\", line 27, in build_schema_from_type_definitions\n return build_ast_schema(document)\n File \"/opt/py37/lib/python3.7/site-packages/graphql/utils/build_ast_schema.py\", line 124, in build_ast_schema\n raise Exception(\"Must provide schema definition with query type.\")\nException: Must provide schema definition with query type.\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 35, in <module>\n File \"<stdin>\", line 17, in run_test\n File \"<stdin>\", line 6, in get_default_scalar\n File \"/workspace/ariadne/executable_schema.py\", line 12, in make_executable_schema\n schema = build_schema_from_type_definitions(type_defs)\n File \"/workspace/ariadne/build_schema.py\", line 27, in build_schema_from_type_definitions\n return build_ast_schema(document)\n File \"/opt/py37/lib/python3.7/site-packages/graphql/utils/build_ast_schema.py\", line 124, in build_ast_schema\n raise Exception(\"Must provide schema definition with query type.\")\nException: Must provide schema definition with query type.\n",
"exit_code": 1
}
}Turn 15at 368 s602 tokens out11,574 prompt tokens
The `get_default_scalar` failed because `make_executable_schema("scalar MyScalar", resolvers={})` is missing a query type.
Let's fix the test script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom ariadne import make_executable_schema, add_resolve_functions_to_schema\nfrom graphql import GraphQLScalarType\n\ndef get_default_scalar():\n schema = make_executable_schema(\"type Query { q: String } scalar MyScalar\", resolvers={})\n return schema.get_type('MyScalar')\n\ndef run_test(resolvers_config, name='MyScalar'):\n type_defs = \"\"\"\n type Query {\n scalar: MyScalar\n }\n scalar MyScalar\n \"\"\"\n schema = make_executable_schema(type_defs, resolvers={})\n default_scalar = get_default_scalar()\n \n add_resolve_functions_to_schema(schema, resolvers_config)\n my_scalar = schema.get_type(name)\n \n return {\n 'serialize': my_scalar.serialize,\n 'parse_value': my_scalar.parse_value,\n 'parse_literal': my_scalar.parse_literal,\n 'default': default_scalar\n }\n\n# Functions\ns = lambda v: f\"s({v})\"\npv = lambda v: f\"pv({v})\"\npl = lambda v: f\"pl({v})\"\n\n# Case 1: Full dict\nres = run_test({'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})\nassert res['serialize'] == s\nassert res['parse_value'] == pv\nassert res['parse_literal'] == pl\n\n# Case 2: Partial dict (only serialize)\nres = run_test({'MyScalar': {'serialize': s}})\nassert res['serialize'] == s\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\n# Case 3: Callable (backward compatibility)\nres = run_test({'MyScalar': s})\nassert res['serialize'] == s\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\n# Case 4: Missing\nres = run_test({})\nassert res['serialize'] == res['default'].serialize\nassert res['parse_value'] == res['default'].parse_value\nassert res['parse_literal'] == res['default'].parse_literal\n\nprint(\"All tests passed!\")\nPY\n"
}Result of run_command 79 characters
{
"status": "ok",
"stdout": "All tests passed!\n",
"stderr": "",
"exit_code": 0
}Turn 16at 372 s53 tokens out12,219 prompt tokens
All tests passed. I think I am done. I'll do a final check of `git status --short && git diff` then submit.
TOOL CALL · run_command
{
"command": "git status --short && git diff"
}Result of run_command 1,070 characters
{
"status": "ok",
"stdout": " M ariadne/resolvers.py\ndiff --git a/ariadne/resolvers.py b/ariadne/resolvers.py\nindex 388e3ad..a506a29 100644\n--- a/ariadne/resolvers.py\n+++ b/ariadne/resolvers.py\n@@ -34,6 +34,11 @@ def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers\n field_object.resolver = field_resolver\n \n \n-def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):\n- serializer = resolvers.get(name, obj.serialize)\n- obj.serialize = serializer\n+def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):\n+ scalar_resolvers = resolvers.get(name)\n+ if isinstance(scalar_resolvers, dict):\n+ obj.serialize = scalar_resolvers.get('serialize', obj.serialize)\n+ obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)\n+ obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)\n+ elif scalar_resolvers is not None:\n+ obj.serialize = scalar_resolvers\n",
"stderr": "",
"exit_code": 0
}Turn 17at 375 s45 tokens out12,634 prompt tokens
The diff looks correct. No untracked files. Type hint fixed. Logic for `parse_value` and `parse_literal` added. Backward compatibility maintained.
TOOL CALL · submit_patch
Result of submit_patch 55 characters
{
"status": "ok",
"patch_size": 966,
"files_changed": 1
}Turn 18at 386 s161 tokens out12,718 prompt tokens
I have successfully implemented the requested feature. I updated `add_resolve_function_to_scalar` to support a dictionary of resolver functions for scalars, enabling `serialize`, `parse_value`, and `parse_literal` to be customized. I also corrected the type hint for the `obj` parameter from `GraphQLObjectType` to `GraphQLScalarType`.
Turn 19at 386 s
The `add_resolve_function_to_scalar` utility in `ariadne/resolvers.py` was updated to support custom `parse_value` and `parse_literal` functions for scalars, in addition to the existing `serialize` support. The implementation now correctly handles both a dictionary of resolver functions for a scalar and a single callable for backward compatibility, while also correcting the type hint for the scalar object.
Model calls (not matched to turns)
Generated tokens 212 tokens · stopped: STOP
The user wants to add support for `parse_value` and `parse_literal` to `add_resolve_functions_to_schema` (likely `add_resolve_functions_to_scalar` based on the problem description) in Ariadne. Currently, only `serialize` is supported. I need to find where `add_resolve_functions_to_schema` or `add_resolve_functions_to_scalar` is defined and update it to handle `parse_value` and `parse_literal`. Wait, the problem statement says `add_resolve_functions_to_schema` should support Scalars parse_value and parse_literal, and then it mentions `add_resolve_functions_to_scalar`. I should check both. Let's start by searching for these functions in the codebase.
<|channel>thought
The user wants to add support for `parse_value` and `parse_literal` to `add_resolve_functions_to_schema` (likely `add_resolve_functions_to_scalar` based on the problem description) in Ariadne.
Currently, only `serialize` is supported.
I need to find where `add_resolve_functions_to_schema` or `add_resolve_functions_to_scalar` is defined and update it to handle `parse_value` and `parse_literal`.
Wait, the problem statement says `add_resolve_functions_to_schema` should support Scalars parse_value and parse_literal, and then it mentions `add_resolve_functions_to_scalar`. I should check both.
Let's start by searching for these functions in the codebase.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "add_resolve_functions" /workspace/ariadne<|"|>}<tool_call|><|tool_response>
Generated tokens 131 tokens · stopped: STOP
The grep results show `add_resolve_functions_to_schema` in `ariadne/resolvers.py`. I didn't see `add_resolve_functions_to_scalar` in the grep results, maybe it's called something else or I missed it. Wait, the problem statement says `add_resolve_functions_to_scalar`. Let me search for `scalar` and `resolve` in `ariadne/resolvers.py`.
The grep results show `add_resolve_functions_to_schema` in `ariadne/resolvers.py`. I didn't see `add_resolve_functions_to_scalar` in the grep results, maybe it's called something else or I missed it. Wait, the problem statement says `add_resolve_functions_to_scalar`. Let me search for `scalar` and `resolve` in `ariadne/resolvers.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "scalar" /workspace/ariadne/resolvers.py<|"|>}<tool_call|><|tool_response>
Generated tokens 60 tokens · stopped: STOP
Ah, it's `add_resolve_function_to_scalar` (singular `function` instead of `functions`). Let's read `ariadne/resolvers.py`.
Ah, it's `add_resolve_function_to_scalar` (singular `function` instead of `functions`).
Let's read `ariadne/resolvers.py`.<channel|><|tool_call>call:read_file{filepath:<|"|>ariadne/resolvers.py<|"|>}<tool_call|><|tool_response>
Generated tokens 1,442 tokens · stopped: STOP
Wait, look at `add_resolve_function_to_scalar`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
Actually, it's taking `obj: GraphQLObjectType` as a type hint, but it's called when `type_object` is `GraphQLScalarType`. And it only handles `serialize`.
It should be:
1. Fixing the type hint for `obj` to `GraphQLScalarType`.
2. Supporting `parse_value` and `parse_literal` from the `resolvers` dict.
If `resolvers[name]` is a dictionary, it should be able to contain `serialize`, `parse_value`, and `parse_literal`.
Current implementation:
```python
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` returns a dict, then `obj.serialize` becomes that dict, which is wrong.
Wait, if `resolvers` is:
```python
resolvers = {
'Scalar': {
'serialize': lambda val: str(val),
'parse_value': lambda val: int(val),
'parse_literal': lambda val: int(val.value),
}
}
```
Then `resolvers.get('Scalar')` is the dict. And `obj.serialize` becomes the dict.
But wait, look at `add_resolve_functions_to_object`:
```python
def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers: dict):
type_resolver = resolvers.get(name, {})
for field_name, field_object in obj.fields.items():
field_resolver = type_resolver.get(field_name, default_resolver)
field_object.resolver = field_resolver
```
Here `type_resolver` is expected to be a dict mapping field names to resolvers.
For scalars, it seems it was expected to be:
`resolvers = {'Scalar': serialize_callable}`
But the problem description says:
- `type_defs = {'Scalar': {'serialize': callable}}`
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`
Wait, the problem says `type_defs`, but it probably means `resolvers`.
Let's re-read:
"Our `add_resolve_functions_to_scalar` utility could support following use-cases:
Code below results in one-way only scalar:
- `type_defs = {'Scalar': {'serialize': callable}}`
And this code results in two-way scalar:
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`"
So it seems Ariadne wants to support a dict of functions for each scalar.
Current implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `{'serialize': ...}`, then `obj.serialize` is set to that dict. That's definitely not right for `graphql-core`.
Wait, is it possible that the current implementation expects `resolvers[name]` to be the serializer itself?
Yes, if `resolvers = {'Scalar': my_serialize_func}`, then it works.
But the user wants to support a dict.
If `resolvers[name]` is a dict, we should use its keys to set `serialize`, `parse_value`, and `parse_literal`.
If `resolvers[name]` is a callable, we should probably treat it as the `serialize` function (to maintain backward compatibility, if any). Actually, the problem says:
`type_defs = {'Scalar': {'serialize': callable}}`
This implies that `resolvers[name]` is expected to be a dict.
Let's look at `add_resolve_functions_to_scalar` again.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
It currently doesn't check if `resolvers.get(name)` is a dict.
If I change it to:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name, {})
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serializer
obj.serialize = scalar_resolvers if scalar_resolvers else obj.serialize
```
Wait, if `scalar_resolvers` is `None` because `resolvers.get(name)` is `None` (defaulting to `{}`), then `isinstance({}, dict)` is true.
If `resolvers = {'Scalar': my_serialize_func}`, then `scalar_resolvers` is `my_serialize_func`, and `isinstance` is false.
Wait, `obj.serialize` is a property of `GraphQLScalarType`.
Let's check what `GraphQLScalarType` has.
In `graphql-core`, `GraphQLScalarType` has `serialize`, `parse_value`, and `parse_literal`.
Wait, is `obj` actually a `GraphQLScalarType`?
In `add_resolve_functions_to_schema`:
```python
if isinstance(type_object, GraphQLScalarType):
add_resolve_function_to_scalar(type_name, type_object, resolvers)
```
Yes, it is. The type hint `GraphQLObjectType` in `add_resolve_function_to_scalar` is wrong.
Let's see if there are existing tests for scalars.
Wait, look at `add_resolve_function_to_scalar`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
Actually, it's taking `obj: GraphQLObjectType` as a type hint, but it's called when `type_object` is `GraphQLScalarType`. And it only handles `serialize`.
It should be:
1. Fixing the type hint for `obj` to `GraphQLScalarType`.
2. Supporting `parse_value` and `parse_literal` from the `resolvers` dict.
If `resolvers[name]` is a dictionary, it should be able to contain `serialize`, `parse_value`, and `parse_literal`.
Current implementation:
```python
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` returns a dict, then `obj.serialize` becomes that dict, which is wrong.
Wait, if `resolvers` is:
```python
resolvers = {
'Scalar': {
'serialize': lambda val: str(val),
'parse_value': lambda val: int(val),
'parse_literal': lambda val: int(val.value),
}
}
```
Then `resolvers.get('Scalar')` is the dict. And `obj.serialize` becomes the dict.
But wait, look at `add_resolve_functions_to_object`:
```python
def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers: dict):
type_resolver = resolvers.get(name, {})
for field_name, field_object in obj.fields.items():
field_resolver = type_resolver.get(field_name, default_resolver)
field_object.resolver = field_resolver
```
Here `type_resolver` is expected to be a dict mapping field names to resolvers.
For scalars, it seems it was expected to be:
`resolvers = {'Scalar': serialize_callable}`
But the problem description says:
- `type_defs = {'Scalar': {'serialize': callable}}`
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`
Wait, the problem says `type_defs`, but it probably means `resolvers`.
Let's re-read:
"Our `add_resolve_functions_to_scalar` utility could support following use-cases:
Code below results in one-way only scalar:
- `type_defs = {'Scalar': {'serialize': callable}}`
And this code results in two-way scalar:
- `type_defs = {'Scalar': {'serialize': callable, 'parse_value': callable, 'parse_literal': callable}}`"
So it seems Ariadne wants to support a dict of functions for each scalar.
Current implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `{'serialize': ...}`, then `obj.serialize` is set to that dict. That's definitely not right for `graphql-core`.
Wait, is it possible that the current implementation expects `resolvers[name]` to be the serializer itself?
Yes, if `resolvers = {'Scalar': my_serialize_func}`, then it works.
But the user wants to support a dict.
If `resolvers[name]` is a dict, we should use its keys to set `serialize`, `parse_value`, and `parse_literal`.
If `resolvers[name]` is a callable, we should probably treat it as the `serialize` function (to maintain backward compatibility, if any). Actually, the problem says:
`type_defs = {'Scalar': {'serialize': callable}}`
This implies that `resolvers[name]` is expected to be a dict.
Let's look at `add_resolve_functions_to_scalar` again.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
It currently doesn't check if `resolvers.get(name)` is a dict.
If I change it to:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name, {})
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serializer
obj.serialize = scalar_resolvers if scalar_resolvers else obj.serialize
```
Wait, if `scalar_resolvers` is `None` because `resolvers.get(name)` is `None` (defaulting to `{}`), then `isinstance({}, dict)` is true.
If `resolvers = {'Scalar': my_serialize_func}`, then `scalar_resolvers` is `my_serialize_func`, and `isinstance` is false.
Wait, `obj.serialize` is a property of `GraphQLScalarType`.
Let's check what `GraphQLScalarType` has.
In `graphql-core`, `GraphQLScalarType` has `serialize`, `parse_value`, and `parse_literal`.
Wait, is `obj` actually a `GraphQLScalarType`?
In `add_resolve_functions_to_schema`:
```python
if isinstance(type_object, GraphQLScalarType):
add_resolve_function_to_scalar(type_name, type_object, resolvers)
```
Yes, it is. The type hint `GraphQLObjectType` in `add_resolve_function_to_scalar` is wrong.
Let's see if there are existing tests for scalars.
<channel|><|tool_call>call:run_command{command:<|"|>find tests -name "*scalar*"<|"|>}<tool_call|><|tool_response>
Generated tokens 46 tokens · stopped: STOP
No tests with "scalar" in the name. Let's search for "Scalar" in all tests.
No tests with "scalar" in the name. Let's search for "Scalar" in all tests.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "Scalar" tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 53 tokens · stopped: STOP
Wait, `grep -rn "Scalar" tests/` failed? Maybe there are no tests using scalars. Let me check `tests/` content.
Wait, `grep -rn "Scalar" tests/` failed? Maybe there are no tests using scalars.
Let me check `tests/` content.
<channel|><|tool_call>call:run_command{command:<|"|>ls -R tests/<|"|>}<tool_call|><|tool_response>
Generated tokens 647 tokens · stopped: STOP
Okay, very few tests.
Let's try to reproduce the issue first.
I'll create a reproduction script. I need to use `ariadne` and `graphql-core`.
```python
from graphql import GraphQLSchema, GraphQLScalarType, GraphQLObjectType, GraphQLString, GraphQLField, GraphQLNonNull
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from ariadne.resolvers import add_resolve_function_to_scalar
# Mock a schema
# In a real scenario, we'd use make_executable_schema
# but I can just build one manually or use a simple type_defs
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
from ariadne import make_executable_schema
schema = make_executable_schema(type_defs)
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Serialize: {my_scalar.serialize('foo')}")
# This should fail or not work as expected currently.
```
Let's see how it behaves currently.
Okay, very few tests.
Let's try to reproduce the issue first.
I'll create a reproduction script. I need to use `ariadne` and `graphql-core`.
```python
from graphql import GraphQLSchema, GraphQLScalarType, GraphQLObjectType, GraphQLString, GraphQLField, GraphQLNonNull
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from ariadne.resolvers import add_resolve_function_to_scalar
# Mock a schema
# In a real scenario, we'd use make_executable_schema
# but I can just build one manually or use a simple type_defs
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
from ariadne import make_executable_schema
schema = make_executable_schema(type_defs)
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Serialize: {my_scalar.serialize('foo')}")
# This should fail or not work as expected currently.
```
Let's see how it behaves currently.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs)
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Serialize: {my_scalar.serialize('foo')}")
try:
print(f"Parse Value: {my_scalar.parse_value('foo')}")
except Exception as e:
print(f"Parse Value Error: {e}")
try:
# parse_literal takes an AST node, but let's just see if it's callable
print(f"Parse Literal: {my_scalar.parse_literal('foo')}")
except Exception as e:
print(f"Parse Literal Error: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 348 tokens · stopped: STOP
Ah, `make_executable_schema` requires `resolvers`.
Ah, `make_executable_schema` requires `resolvers`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs, resolvers={})
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Scalar type: {type(my_scalar)}")
try:
print(f"Serialize: {my_scalar.serialize('foo')}")
except Exception as e:
print(f"Serialize Error: {e}")
try:
print(f"Parse Value: {my_scalar.parse_value('foo')}")
except Exception as e:
print(f"Parse Value Error: {e}")
try:
print(f"Parse Literal: {my_scalar.parse_literal('foo')}")
except Exception as e:
print(f"Parse Literal Error: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 1,746 tokens · stopped: STOP
As expected:
1. `my_scalar.serialize` is now the dict `{'serialize': ..., 'parse_value': ..., 'parse_literal': ...}`, so calling it raises `TypeError: 'dict' object is not callable`.
2. `my_scalar.parse_value` and `my_scalar.parse_literal` are the defaults from `GraphQLScalarType`, which return `False` or similar (actually `GraphQLScalarType`'s default `parse_value` is `None` or some default implementation, let's check). Wait, the output said `Parse Value: False`.
Wait, `GraphQLScalarType` defaults for `parse_value` and `parse_literal` are actually slightly different in `graphql-core`.
The point is that `serialize` is broken and the others are not updated.
Now I will apply the fix in `ariadne/resolvers.py`.
I need to:
1. Change `GraphQLObjectType` to `GraphQLScalarType` in `add_resolve_function_to_scalar` type hint.
2. Handle the case where `resolvers.get(name)` is either a dict or a callable.
Wait, if `resolvers.get(name)` is a callable, it should probably be used as the `serialize` function for backward compatibility.
Let's see:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serialize
obj.serialize = scalar_resolvers
```
Wait, what if `obj.serialize` is not available? `GraphQLScalarType` usually has it.
Let's double check the original implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `None` (because `name` is not in `resolvers`), it uses `obj.serialize`.
My proposed implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
This looks correct and maintains backward compatibility for when `resolvers[name]` is just a function.
Wait, let's see if there's any other place where scalars are handled. I already checked `ariadne/resolvers.py`.
`add_resolve_functions_to_schema` calls `add_resolve_function_to_scalar`.
Let's check if `GraphQLScalarType` is imported in `ariadne/resolvers.py`.
Yes, it is: `from graphql import GraphQLObjectType, GraphQLScalarType, GraphQLSchema`.
Wait, in `ariadne/resolvers.py`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
The type hint says `GraphQLObjectType` but it's called with a `GraphQLScalarType`. That's a bug too.
Let's prepare the `edit_file` call.
Original code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
New code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
Wait, let me verify if `obj.serialize`, `obj.parse_value`, `obj.parse_literal` exist on `GraphQLScalarType` instances. Yes, they do.
Let's refine the implementation to be as compact as possible but clear.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
elif scalar_resolvers is not None:
obj.serialize = scalar_resolvers
```
One more thing: if `resolvers.get(name)` is a dict, but it's an empty dict, it should probably not change anything.
`scalar_resolvers.get('serialize', obj.serialize)` will return `obj.serialize` if 'serialize' is missing. This is correct.
What if `resolvers` is:
```python
resolvers = {
'MyScalar': {
'serialize': None
}
}
```
Then `obj.serialize` becomes `None`. Is that allowed? Yes, you might want to disable serialization.
Wait, let's check if I should use `getattr(obj, 'serialize', None)` instead of `obj.serialize` if I'm not sure they exist. But they should exist on `GraphQLScalarType`.
Actually, `GraphQLScalarType` in `graphql-core` has these as attributes.
Let's apply the fix.
As expected:
1. `my_scalar.serialize` is now the dict `{'serialize': ..., 'parse_value': ..., 'parse_literal': ...}`, so calling it raises `TypeError: 'dict' object is not callable`.
2. `my_scalar.parse_value` and `my_scalar.parse_literal` are the defaults from `GraphQLScalarType`, which return `False` or similar (actually `GraphQLScalarType`'s default `parse_value` is `None` or some default implementation, let's check). Wait, the output said `Parse Value: False`.
Wait, `GraphQLScalarType` defaults for `parse_value` and `parse_literal` are actually slightly different in `graphql-core`.
The point is that `serialize` is broken and the others are not updated.
Now I will apply the fix in `ariadne/resolvers.py`.
I need to:
1. Change `GraphQLObjectType` to `GraphQLScalarType` in `add_resolve_function_to_scalar` type hint.
2. Handle the case where `resolvers.get(name)` is either a dict or a callable.
Wait, if `resolvers.get(name)` is a callable, it should probably be used as the `serialize` function for backward compatibility.
Let's see:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
# Backward compatibility: if it's just a callable, treat it as serialize
obj.serialize = scalar_resolvers
```
Wait, what if `obj.serialize` is not available? `GraphQLScalarType` usually has it.
Let's double check the original implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
If `resolvers.get(name)` is `None` (because `name` is not in `resolvers`), it uses `obj.serialize`.
My proposed implementation:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
This looks correct and maintains backward compatibility for when `resolvers[name]` is just a function.
Wait, let's see if there's any other place where scalars are handled. I already checked `ariadne/resolvers.py`.
`add_resolve_functions_to_schema` calls `add_resolve_function_to_scalar`.
Let's check if `GraphQLScalarType` is imported in `ariadne/resolvers.py`.
Yes, it is: `from graphql import GraphQLObjectType, GraphQLScalarType, GraphQLSchema`.
Wait, in `ariadne/resolvers.py`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
The type hint says `GraphQLObjectType` but it's called with a `GraphQLScalarType`. That's a bug too.
Let's prepare the `edit_file` call.
Original code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
New code:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if scalar_resolvers is None:
return
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
else:
obj.serialize = scalar_resolvers
```
Wait, let me verify if `obj.serialize`, `obj.parse_value`, `obj.parse_literal` exist on `GraphQLScalarType` instances. Yes, they do.
Let's refine the implementation to be as compact as possible but clear.
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
elif scalar_resolvers is not None:
obj.serialize = scalar_resolvers
```
One more thing: if `resolvers.get(name)` is a dict, but it's an empty dict, it should probably not change anything.
`scalar_resolvers.get('serialize', obj.serialize)` will return `obj.serialize` if 'serialize' is missing. This is correct.
What if `resolvers` is:
```python
resolvers = {
'MyScalar': {
'serialize': None
}
}
```
Then `obj.serialize` becomes `None`. Is that allowed? Yes, you might want to disable serialization.
Wait, let's check if I should use `getattr(obj, 'serialize', None)` instead of `obj.serialize` if I'm not sure they exist. But they should exist on `GraphQLScalarType`.
Actually, `GraphQLScalarType` in `graphql-core` has these as attributes.
Let's apply the fix.
<channel|><|tool_call>call:edit_file{filepath:<|"|>ariadne/resolvers.py<|"|>,new_string:<|"|>def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
elif scalar_resolvers is not None:
obj.serialize = scalar_resolvers
Planck<|"|>,old_string:<|"|>def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
Planck<|"|>}<tool_call|><|tool_response>
Generated tokens 154 tokens · stopped: STOP
Ah, I added " Planck" to the strings for some reason. My bad. Let's try again without " Planck".
Wait, I should also check for any trailing whitespace or something.
Original:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
(Line 37-39)
Let me read the file again to be sure about the characters.
Ah, I added " Planck" to the strings for some reason. My bad. Let's try again without " Planck".
Wait, I should also check for any trailing whitespace or something.
Original:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
```
(Line 37-39)
Let me read the file again to be sure about the characters.
<channel|><|tool_call>call:read_file{filepath:<|"|>ariadne/resolvers.py<|"|>,start_line:37,end_line:39}<tool_call|><|tool_response>
Generated tokens 230 tokens · stopped: STOP
Okay, let's try the `edit_file` again.
Okay, let's try the `edit_file` again.
<channel|><|tool_call>call:edit_file{filepath:<|"|>ariadne/resolvers.py<|"|>,new_string:<|"|>def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
scalar_resolvers = resolvers.get(name)
if isinstance(scalar_resolvers, dict):
obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
elif scalar_resolvers is not None:
obj.serialize = scalar_resolvers
<|"|>,old_string:<|"|>def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
serializer = resolvers.get(name, obj.serialize)
obj.serialize = serializer
<|"|>}<tool_call|><|tool_response>
Generated tokens 349 tokens · stopped: STOP
Now let's run the reproduction script again to verify the fix.
Now let's run the reproduction script again to verify the fix.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs, resolvers={})
resolvers = {
'MyScalar': {
'serialize': lambda v: f"serialized({v})",
'parse_value': lambda v: f"parsed_value({v})",
'parse_literal': lambda v: f"parsed_literal({v})",
}
}
add_resolve_functions_to_schema(schema, resolvers)
my_scalar = schema.get_type('MyScalar')
print(f"Scalar type: {type(my_scalar)}")
try:
print(f"Serialize: {my_scalar.serialize('foo')}")
except Exception as e:
print(f"Serialize Error: {e}")
try:
print(f"Parse Value: {my_scalar.parse_value('foo')}")
except Exception as e:
print(f"Parse Value Error: {e}")
try:
print(f"Parse Literal: {my_scalar.parse_literal('foo')}")
except Exception as e:
print(f"Parse Literal Error: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 552 tokens · stopped: STOP
Great! It works. Now let's test the backward compatibility cases: 1. `resolvers[name]` is a callable (should be used as `serialize`). 2. `resolvers[name]` is missing.
Great! It works.
Now let's test the backward compatibility cases:
1. `resolvers[name]` is a callable (should be used as `serialize`).
2. `resolvers[name]` is missing.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
def test_scalar(serialize_func, parse_val_func, parse_lit_func, resolvers_config, name='MyScalar'):
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs, resolvers={})
add_resolve_functions_to_schema(schema, resolvers_config)
my_scalar = schema.get_type(name)
# Note: In graphql-core, GraphQLScalarType might have default implementations
# We want to check if our functions were assigned.
# This is slightly tricky because we don't know the default.
# But we can check if the function is the one we passed.
if serialize_func and my_scalar.serialize != serialize_func:
print(f"Serialize Fail")
return False
if parse_val_func and my_scalar.parse_value != parse_val_func:
print(f"Parse Value Fail")
return False
if parse_lit_func and my_scalar.parse_literal != parse_lit_func:
print(f"Parse Literal Fail")
return False
print("Success")
return True
# Case 1: Full dict
s = lambda v: f"s({v})"
pv = lambda v: f"pv({v})"
pl = lambda v: f"pl({v})"
test_scalar(s, pv, pl, {'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})
# Case 2: Partial dict (only serialize)
test_scalar(s, None, None, {'MyScalar': {'serialize': s}})
# Case 3: Callable (backward compatibility)
test_scalar(s, None, None, {'MyScalar': s})
# Case 4: Missing
test_scalar(None, None, None, {})
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 644 tokens · stopped: STOP
Wait, in Case 2, `test_scalar(s, None, None, {'MyScalar': {'serialize': s}})`:
`pv` is `None`, so it doesn't check `my_scalar.parse_value`.
I should check if it's STILL the default value.
Let's refine the test script to be more rigorous.Wait, in Case 2, `test_scalar(s, None, None, {'MyScalar': {'serialize': s}})`:
`pv` is `None`, so it doesn't check `my_scalar.parse_value`.
I should check if it's STILL the default value.
Let's refine the test script to be more rigorous.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
def get_default_scalar():
# Use a fresh schema to get default scalar behavior
schema = make_executable_schema("scalar MyScalar", resolvers={})
return schema.get_type('MyScalar')
def run_test(resolvers_config, name='MyScalar'):
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs, resolvers={})
default_scalar = get_default_scalar()
add_resolve_functions_to_schema(schema, resolvers_config)
my_scalar = schema.get_type(name)
return {
'serialize': my_scalar.serialize,
'parse_value': my_scalar.parse_value,
'parse_literal': my_scalar.parse_literal,
'default': default_scalar
}
# Functions
s = lambda v: f"s({v})"
pv = lambda v: f"pv({v})"
pl = lambda v: f"pl({v})"
# Case 1: Full dict
res = run_test({'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})
assert res['serialize'] == s
assert res['parse_value'] == pv
assert res['parse_literal'] == pl
# Case 2: Partial dict (only serialize)
res = run_test({'MyScalar': {'serialize': s}})
assert res['serialize'] == s
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
# Case 3: Callable (backward compatibility)
res = run_test({'MyScalar': s})
assert res['serialize'] == s
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
# Case 4: Missing
res = run_test({})
assert res['serialize'] == res['default'].serialize
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
print("All tests passed!")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 602 tokens · stopped: STOP
The `get_default_scalar` failed because `make_executable_schema("scalar MyScalar", resolvers={})` is missing a query type.
Let's fix the test script.
The `get_default_scalar` failed because `make_executable_schema("scalar MyScalar", resolvers={})` is missing a query type.
Let's fix the test script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from ariadne import make_executable_schema, add_resolve_functions_to_schema
from graphql import GraphQLScalarType
def get_default_scalar():
schema = make_executable_schema("type Query { q: String } scalar MyScalar", resolvers={})
return schema.get_type('MyScalar')
def run_test(resolvers_config, name='MyScalar'):
type_defs = """
type Query {
scalar: MyScalar
}
scalar MyScalar
"""
schema = make_executable_schema(type_defs, resolvers={})
default_scalar = get_default_scalar()
add_resolve_functions_to_schema(schema, resolvers_config)
my_scalar = schema.get_type(name)
return {
'serialize': my_scalar.serialize,
'parse_value': my_scalar.parse_value,
'parse_literal': my_scalar.parse_literal,
'default': default_scalar
}
# Functions
s = lambda v: f"s({v})"
pv = lambda v: f"pv({v})"
pl = lambda v: f"pl({v})"
# Case 1: Full dict
res = run_test({'MyScalar': {'serialize': s, 'parse_value': pv, 'parse_literal': pl}})
assert res['serialize'] == s
assert res['parse_value'] == pv
assert res['parse_literal'] == pl
# Case 2: Partial dict (only serialize)
res = run_test({'MyScalar': {'serialize': s}})
assert res['serialize'] == s
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
# Case 3: Callable (backward compatibility)
res = run_test({'MyScalar': s})
assert res['serialize'] == s
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
# Case 4: Missing
res = run_test({})
assert res['serialize'] == res['default'].serialize
assert res['parse_value'] == res['default'].parse_value
assert res['parse_literal'] == res['default'].parse_literal
print("All tests passed!")
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 53 tokens · stopped: STOP
All tests passed. I think I am done. I'll do a final check of `git status --short && git diff` then submit.
All tests passed. I think I am done.
I'll do a final check of `git status --short && git diff` then submit.<channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 45 tokens · stopped: STOP
The diff looks correct. No untracked files. Type hint fixed. Logic for `parse_value` and `parse_literal` added. Backward compatibility maintained.
The diff looks correct. No untracked files. Type hint fixed. Logic for `parse_value` and `parse_literal` added. Backward compatibility maintained.
<channel|><|tool_call>call:submit_patch{}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/ariadne/resolvers.py b/ariadne/resolvers.py
index 388e3ad..a506a29 100644
--- a/ariadne/resolvers.py
+++ b/ariadne/resolvers.py
@@ -34,6 +34,11 @@ def add_resolve_functions_to_object(name: str, obj: GraphQLObjectType, resolvers
field_object.resolver = field_resolver
-def add_resolve_function_to_scalar(name: str, obj: GraphQLObjectType, resolvers: dict):
- serializer = resolvers.get(name, obj.serialize)
- obj.serialize = serializer
+def add_resolve_function_to_scalar(name: str, obj: GraphQLScalarType, resolvers: dict):
+ scalar_resolvers = resolvers.get(name)
+ if isinstance(scalar_resolvers, dict):
+ obj.serialize = scalar_resolvers.get('serialize', obj.serialize)
+ obj.parse_value = scalar_resolvers.get('parse_value', obj.parse_value)
+ obj.parse_literal = scalar_resolvers.get('parse_literal', obj.parse_literal)
+ elif scalar_resolvers is not None:
+ obj.serialize = scalar_resolvers
Test output Included
============================= test session starts ============================== collected 16 items tests/test_custom_scalars.py ....... [ 43%] tests/test_queries.py ......... [100%] ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-04fd7d868e984f73804c0feebbbe4045.xml -- =========================== short test summary info ============================ PASSED tests/test_custom_scalars.py::test_serialize_date_obj_to_date_str PASSED tests/test_custom_scalars.py::test_parse_literal_valid_str_ast_to_date_instance PASSED tests/test_custom_scalars.py::test_parse_literal_invalid_str_ast_to_date_instance PASSED tests/test_custom_scalars.py::test_parse_literal_invalid_int_ast_errors PASSED tests/test_custom_scalars.py::test_parse_value_valid_date_str_returns_date_instance PASSED tests/test_custom_scalars.py::test_parse_value_invalid_str_errors PASSED tests/test_custom_scalars.py::test_parse_value_invalid_value_type_int_errors PASSED tests/test_queries.py::test_query_root_type_default_resolver PASSED tests/test_queries.py::test_query_custom_type_default_resolver PASSED tests/test_queries.py::test_query_custom_type_object_default_resolver PASSED tests/test_queries.py::test_query_custom_type_custom_resolver PASSED tests/test_queries.py::test_query_custom_type_merged_custom_default_resolvers PASSED tests/test_queries.py::test_query_with_argument PASSED tests/test_queries.py::test_query_with_input PASSED tests/test_queries.py::test_mapping_resolver PASSED tests/test_queries.py::test_mapping_resolver_to_object_attribute ============================== 16 passed in 0.08s ==============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite errors="0" failures="0" hostname="b490cf1330bb" name="pytest" skipped="0" tests="16" time="0.077" timestamp="2026-11-14T04:59:13.236997"><testcase classname="tests.test_custom_scalars" name="test_serialize_date_obj_to_date_str" time="0.001" /><testcase classname="tests.test_custom_scalars" name="test_parse_literal_valid_str_ast_to_date_instance" time="0.001" /><testcase classname="tests.test_custom_scalars" name="test_parse_literal_invalid_str_ast_to_date_instance" time="0.000" /><testcase classname="tests.test_custom_scalars" name="test_parse_literal_invalid_int_ast_errors" time="0.000" /><testcase classname="tests.test_custom_scalars" name="test_parse_value_valid_date_str_returns_date_instance" time="0.001" /><testcase classname="tests.test_custom_scalars" name="test_parse_value_invalid_str_errors" time="0.001" /><testcase classname="tests.test_custom_scalars" name="test_parse_value_invalid_value_type_int_errors" time="0.001" /><testcase classname="tests.test_queries" name="test_query_root_type_default_resolver" time="0.000" /><testcase classname="tests.test_queries" name="test_query_custom_type_default_resolver" time="0.001" /><testcase classname="tests.test_queries" name="test_query_custom_type_object_default_resolver" time="0.001" /><testcase classname="tests.test_queries" name="test_query_custom_type_custom_resolver" time="0.001" /><testcase classname="tests.test_queries" name="test_query_custom_type_merged_custom_default_resolvers" time="0.001" /><testcase classname="tests.test_queries" name="test_query_with_argument" time="0.001" /><testcase classname="tests.test_queries" name="test_query_with_input" time="0.001" /><testcase classname="tests.test_queries" name="test_mapping_resolver" time="0.001" /><testcase classname="tests.test_queries" name="test_mapping_resolver_to_object_attribute" time="0.001" /></testsuite></testsuites>
Agent log Included
[ 0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
[ 0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository mirumee/ariadne.
[ 15.4s] 💭 (659 chars) "The user wants to add support for `parse_value` and `parse_literal` to
`add_resolve_functions_to_schema` (likely `add_re..."
[ 15.4s] 🔧 run_command grep -rn --include="*.py" "add_resolve_functions" /workspace/ariadne
[ 15.4s] → /workspace/ariadne/executable_schema.py:6:from .resolvers import add_resolve_functions_to_schema
[ 21.7s] 💭 (335 chars) "The grep results show `add_resolve_functions_to_schema` in `ariadne/resolvers.py`. I didn't
see `add_resolve_functions_t..."
[ 21.7s] 🔧 run_command grep -rn --include="*.py" "scalar" /workspace/ariadne/resolvers.py
[ 21.8s] → 27: add_resolve_function_to_scalar(type_name, type_object, resolvers)
[ 25.9s] 💭 (123 chars) "Ah, it's `add_resolve_function_to_scalar` (singular `function` instead of `functions`).
Let's read `ariadne/resolvers.p..."
[ 25.9s] 📖 read_file (ariadne/resolvers.py)
[ 26.0s] ✓ {'status': 'ok', 'filepath': 'ariadne/resolvers.py', 'content': 'from graphql import GraphQLObjectType,
GraphQLScalarTyp…
[ 113.4s] 💭 (5113 chars) "Wait, look at `add_resolve_function_to_scalar`:
```python
def add_resolve_function_to_scalar(name: str, obj: GraphQLObj..."
[ 113.4s] 🔧 run_command find tests -name "*scalar*"
[ 113.4s] 🔧
[ 117.3s] 💭 (75 chars) "No tests with "scalar" in the name. Let's search for "Scalar" in all tests."
[ 117.3s] 🔧 run_command grep -rn "Scalar" tests/
[ 117.4s] → error (exit 0):
[ 121.5s] 💭 (111 chars) "Wait, `grep -rn "Scalar" tests/` failed? Maybe there are no tests using scalars.
Let me check `tests/` content."
[ 121.5s] 🔧 run_command ls -R tests/
[ 121.5s] → tests/:
[ 158.5s] 💭 (1158 chars) "Okay, very few tests.
Let's try to reproduce the issue first.
I'll create a reproduction script. I need to use `ariadne..."
[ 158.5s] 🔧 run_command (34 lines) python3 - <<'PY'
[ 158.6s] → error (exit 0):
[ 171.7s] 💭 (50 chars) "Ah, `make_executable_schema` requires `resolvers`."
[ 171.7s] 🔧 run_command (37 lines) python3 - <<'PY'
[ 171.8s] → Scalar type: <class 'graphql.type.definition.GraphQLScalarType'>
[ 257.9s] 💭 (5601 chars) "As expected:
1. `my_scalar.serialize` is now the dict `{'serialize': ..., 'parse_value': ..., 'parse_literal': ...}`, so..."
[ 257.9s] ✏️ edit_file (ariadne/resolvers.py)
[ 258.0s] ❌ {'status': 'error', 'error_type': 'FileEditError', 'error_message': "Failed to replace: old_string not
found. Ensure you…
[ 267.9s] 💭 (434 chars) "Ah, I added " Planck" to the strings for some reason. My bad. Let's try again without "
Planck".
Wait, I should also ch..."
[ 267.9s] 📖 read_file (ariadne/resolvers.py)
[ 268.0s] ✓ {'status': 'ok', 'filepath': 'ariadne/resolvers.py', 'content': 'def
add_resolve_function_to_scalar(name: str, obj: Grap…
[ 275.0s] 💭 (38 chars) "Okay, let's try the `edit_file` again."
[ 275.0s] ✏️ edit_file (ariadne/resolvers.py)
[ 275.1s] ✓ {'status': 'ok', 'filepath': 'ariadne/resolvers.py', 'occurrences': 1, 'strategy': 'exact', 'diff': "---
a/ariadne/resol…
[ 285.7s] 💭 (62 chars) "Now let's run the reproduction script again to verify the fix."
[ 285.7s] 🔧 run_command (37 lines) python3 - <<'PY'
[ 285.8s] → Scalar type: <class 'graphql.type.definition.GraphQLScalarType'>
[ 321.0s] 💭 (167 chars) "Great! It works.
Now let's test the backward compatibility cases:
1. `resolvers[name]` is a callable (should be used as..."
[ 321.0s] 🔧 run_command (50 lines) python3 - <<'PY'
[ 321.1s] → Success
[ 351.0s] 💭 (238 chars) "Wait, in Case 2, `test_scalar(s, None, None, {'MyScalar': {'serialize': s}})`:
`pv` is `None`, so it doesn't check `my_s..."
[ 351.0s] 🔧 run_command (60 lines) python3 - <<'PY'
[ 351.1s] → error (exit 0):
[ 368.1s] 💭 (150 chars) "The `get_default_scalar` failed because `make_executable_schema("scalar MyScalar",
resolvers={})` is missing a query typ..."
[ 368.1s] 🔧 run_command (59 lines) python3 - <<'PY'
[ 368.2s] → All tests passed!
[ 371.4s] 💭 (107 chars) "All tests passed. I think I am done.
I'll do a final check of `git status --short && git diff` then submit."
[ 371.4s] 🔧 run_command git status --short && git diff
[ 371.4s] → M ariadne/resolvers.py
[ 374.3s] 💭 (146 chars) "The diff looks correct. No untracked files. Type hint fixed. Logic for `parse_value` and
`parse_literal` added. Backward..."
[ 374.3s] 🤖 submit_patch
[ 374.4s] → submit_patch: {"status": "ok", "patch_size": 966, "files_changed": 1}
[ 386.2s] 💭 (335 chars) "I have successfully implemented the requested feature. I updated
`add_resolve_function_to_scalar` to support a dictionar..."
[ 386.2s] ✅ Agent finished: The `add_resolve_function_to_scalar` utility in `ariadne/resolvers.py` was updated to
support custom `parse_value` and `parse_literal` functions for scalars, in addition to the existing `serialize` su...
Native result row
{
"agent_error": null,
"duration_seconds": 389.36,
"error": null,
"grade": {
"collected_tests": 16,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 16
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "mirumee__ariadne-24",
"pass_idx": 0,
"patch_chars": 966,
"phase1_seconds": 388.67,
"repo": "mirumee/ariadne",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/mirumee__ariadne-24__p0__r5.jsonl",
"resolved": true,
"rollout_idx": 5,
"run_key": "mirumee__ariadne-24__p0__r5",
"strict_clean_patch": true,
"tool_calls": 16,
"total_llm_calls": 18,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_mirumee__ariadne-24__p0__r5.json"
}