ROLLOUT 6 · apiflask/apiflask
apiflask__apiflask-632
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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 5,796 characters
You are evaluating a software engineering task for repository apiflask/apiflask.
Problem Statement:
Specifying `headers` option in `@output` decorator generates invalid spec for OAS version >= 3.0.0
The OpenAPI Specification for versions 3.0.0 and higher indicates that the `Header` object must not specify either a `name` or an `in` field:
- 3.0.0: https://spec.openapis.org/oas/v3.0.0.html#header-object
- 3.1.0: https://spec.openapis.org/oas/v3.1.0.html#header-object
The current implementation introduced in #511 invokes `schema2parameters` from `apispec`, which leaves the fields in place, resulting in an invalid spec.
```python
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
assert rv.status_code == 200
openapi_spec_validator.validate(rv.json) # Fails
```
The generated spec looks like this:
```json
{
"components": {
"schemas": {
"Foo": {
"properties": {
"name": {
"type": "string"
}
},
"type": "object"
}
}
},
"info": {
"title": "APIFlask",
"version": "0.1.0"
},
"openapi": "3.0.3",
"paths": {
"/foo": {
"get": {
"parameters": [],
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/Foo"
}
}
},
"description": "Successful response",
"headers": {
"X-Token": {
"description": "A custom token header",
"in": "header",
"name": "X-Token",
"required": false,
"schema": {
"type": "string"
}
}
}
}
},
"summary": "Foo"
}
}
},
"servers": [
{
"url": "http://localhost/"
}
],
"tags": []
}
```
I considered raising this against `apispec`, since in theory it might be possible to modify `schema2parameters` to not include `name` or `in` when the `location` value is `headers`, but the `name` value is still needed to populate the key of the `headers` dictionary in the spec, so I think it makes more sense to address in this project.
Environment:
- Python version: 3.11
- Flask version: 3.1.0
- APIFlask version: 2.3.0
## 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):
```
./CHANGES.md
./CODE_OF_CONDUCT.md
./CONTRIBUTING.md
./LICENSE
./MANIFEST.in
./NOTICE
./README.md
./codecov.yml
./docs
./examples
./mkdocs.yml
./netlify.toml
./pyproject.toml
./requirements
./requirements/dev.in
./requirements/dev.txt
./requirements/docs.in
./requirements/docs.txt
./requirements/examples.in
./requirements/examples.txt
./requirements/min-versions.in
./requirements/min-versions.txt
./requirements/tests.in
./requirements/tests.txt
./requirements/typing.in
./requirements/typing.txt
./src
./src/apiflask
./src/apiflask/__init__.py
./src/apiflask/app.py
./src/apiflask/blueprint.py
./src/apiflask/commands.py
./src/apiflask/exceptions.py
./src/apiflask/fields.py
./src/apiflask/helpers.py
./src/apiflask/openapi.py
./src/apiflask/py.typed
./src/apiflask/route.py
./src/apiflask/scaffold.py
./src/apiflask/schemas.py
./src/apiflask/security.py
./src/apiflask/settings.py
./src/apiflask/types.py
./src/apiflask/ui_templates.py
./src/apiflask/validators.py
./src/apiflask/views.py
./tests
./tox.ini
```
Turn 1at 45 s447 tokens out3,666 prompt tokens
The user is reporting an issue where the `headers` option in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for version >= 3.0.0. Specifically, the generated `Header` object contains `name` and `in` fields, which are not allowed according to OAS 3.0.0+ when they are used within the `headers` section of a response (they are only for parameters in the `parameters` section). The problem statement provides a reproduction example and the resulting invalid JSON. The issue is likely in how APIFlask uses `apispec.schema2parameters` to generate the headers for the response. Plan: 1. Reproduce the issue with a script. 2. Locate the code responsible for generating the OpenAPI spec, specifically where `@output(headers=...)` is processed. 3. Modify the code to remove `name` and `in` fields from the header objects when they are being added to the `headers` section of a response. 4. Verify the fix with the reproduction script. Let's start by reproducing the issue.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\nclass Foo(Schema):\n name = String()\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\napp = APIFlask(__name__)\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nassert rv.status_code == 200\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation passed!\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\nPY\n"
}Result of run_command 1,212 characters
{
"status": "ok",
"stdout": "Validation failed: {'content': {'application/json': {'schema': {'$ref': '#/components/schemas/Foo'}}}, 'description': 'Successful response', 'headers': {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': False, 'schema': {'type': 'string'}}}} is not valid under any of the given schemas\n\nFailed validating 'oneOf' in schema['properties']['paths']['patternProperties']['^\\\\/']['patternProperties']['^(get|put|post|delete|options|head|patch|trace)$']['properties']['responses']['patternProperties']['^[1-5](?:\\\\d{2}|XX)$']:\n {'oneOf': [{'$ref': '#/definitions/Response'},\n {'$ref': '#/definitions/Reference'}]}\n\nOn instance['paths']['/foo']['get']['responses']['200']:\n {'content': {'application/json': {'schema': {'$ref': '#/components/schemas/Foo'}}},\n 'description': 'Successful response',\n 'headers': {'X-Token': {'description': 'A custom token header',\n 'in': 'header',\n 'name': 'X-Token',\n 'required': False,\n 'schema': {'type': 'string'}}}}\n",
"stderr": "",
"exit_code": 0
}Generated tokens 447 tokens · stopped: STOP
<|channel>thought
The user is reporting an issue where the `headers` option in the `@output` decorator of APIFlask generates an invalid OpenAPI Specification (OAS) for version >= 3.0.0.
Specifically, the generated `Header` object contains `name` and `in` fields, which are not allowed according to OAS 3.0.0+ when they are used within the `headers` section of a response (they are only for parameters in the `parameters` section).
The problem statement provides a reproduction example and the resulting invalid JSON.
The issue is likely in how APIFlask uses `apispec.schema2parameters` to generate the headers for the response.
Plan:
1. Reproduce the issue with a script.
2. Locate the code responsible for generating the OpenAPI spec, specifically where `@output(headers=...)` is processed.
3. Modify the code to remove `name` and `in` fields from the header objects when they are being added to the `headers` section of a response.
4. Verify the fix with the reproduction script.
Let's start by reproducing the issue.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
assert rv.status_code == 200
try:
openapi_spec_validator.validate(rv.json)
print("Validation passed!")
except Exception as e:
print(f"Validation failed: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 2at 54 s103 tokens out4,450 prompt tokens
The reproduction script confirms the issue. The validation fails because the header object includes `in` and `name` fields. Now I need to find where this is happening in the code. The problem statement mentions `#511` and `schema2parameters` from `apispec`. I'll search for `schema2parameters` in the codebase.
TOOL CALL · run_command
{
"command": "grep -rn \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Generated tokens 103 tokens · stopped: STOP
The reproduction script confirms the issue. The validation fails because the header object includes `in` and `name` fields.
Now I need to find where this is happening in the code.
The problem statement mentions `#511` and `schema2parameters` from `apispec`.
I'll search for `schema2parameters` in the codebase.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Turn 3at 58 s76 tokens out4,628 prompt tokens
It's in `src/apiflask/app.py` at line 1256. Let's examine the code around that line.
TOOL CALL · read_file
{
"end_line": 1300,
"filepath": "src/apiflask/app.py",
"start_line": 1200
}Result of read_file 3,688 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " schema: SchemaType | dict,\n description: str,\n example: t.Any | None = None,\n examples: dict[str, t.Any] | None = None,\n links: dict[str, t.Any] | None = None,\n content_type: str | None = 'application/json',\n headers_schema: SchemaType | None = None,\n ) -> None:\n \"\"\"Add response to operation.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers_schema`.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.\n \"\"\"\n base_schema: OpenAPISchemaType | None = self.config['BASE_RESPONSE_SCHEMA']\n data_key: str = self.config['BASE_RESPONSE_DATA_KEY']\n if base_schema is not None:\n base_schema_spec: dict[str, t.Any]\n if isinstance(base_schema, type):\n base_schema_spec = self._ma_plugin.converter.schema2jsonschema( # type: ignore\n base_schema()\n )\n elif isinstance(base_schema, dict):\n base_schema_spec = base_schema\n else:\n raise TypeError(_bad_schema_message)\n if data_key not in base_schema_spec['properties']: # type: ignore\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the base response schema spec.'\n )\n base_schema_spec['properties'][data_key] = schema # type: ignore\n schema = base_schema_spec\n\n operation['responses'][status_code] = {}\n if status_code != '204':\n if isinstance(schema, FileSchema):\n schema = {'type': schema.type, 'format': schema.format}\n elif isinstance(schema, EmptySchema):\n schema = {}\n operation['responses'][status_code]['content'] = {content_type: {'schema': schema}}\n operation['responses'][status_code]['description'] = description\n if example is not None:\n operation['responses'][status_code]['content'][content_type]['example'] = example\n if examples is not None:\n operation['responses'][status_code]['content'][content_type]['examples'] = examples\n if links is not None:\n operation['responses'][status_code]['links'] = links\n if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: header for header in headers\n }\n\n def _add_response_with_schema(\n self,\n spec: APISpec,\n operation: dict,\n status_code: str,\n schema: OpenAPISchemaType,\n schema_name: str,\n description: str,\n ) -> None:\n \"\"\"Add response with given schema to operation.\"\"\"\n if isinstance(schema, type):\n schema = schema()\n self._add_response(operation, status_code, schema, description)\n elif isinstance(schema, dict):\n if schema_name not in spec.components.schemas:\n spec.components.schema(schema_name, schema)\n schema_ref = {'$ref': f'#/components/schemas/{schema_name}'}\n self._add_response(operation, status_code, schema_ref, description)\n else:\n raise TypeError(_bad_schema_message)",
"start_line": 1200,
"end_line": 1282,
"total_lines": 1282,
"is_truncated": false
}Generated tokens 76 tokens · stopped: STOP
It's in `src/apiflask/app.py` at line 1256. Let's examine the code around that line.
<channel|><|tool_call>call:read_file{end_line:1300,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1200}<tool_call|><|tool_response>
Turn 4at 92 s576 tokens out5,695 prompt tokens
The relevant part is lines 1275-1279:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `headers` variable is a list of parameters generated by `schema2parameters`.
Each `header` in `headers` is a dictionary.
The current implementation uses `header['name']` as the key in the `headers` dictionary of the response, and uses the `header` dictionary itself as the value.
As the issue describes, the `header` dictionary contains `name` and `in` fields, which are not permitted in the `headers` object of a response in OAS 3.0.0+.
So we need to remove `name` and `in` from each `header` before putting it into the `headers` dictionary.
Wait, if I remove `header['name']` from the dictionary, I must do it after getting the name for the key.
Let's verify the structure of `header` from the reproduction output:
`'headers': {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': False, 'schema': {'type': 'string'}}}`
So we need to change:
```python
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
to something like:
```python
headers_spec = {}
for header in headers:
name = header.pop('name')
header.pop('in', None)
headers_spec[name] = header
operation['responses'][status_code]['headers'] = headers_spec
```
Wait, `header.pop('name')` modifies the dictionary in-place. `headers` is a list of dictionaries returned by `schema2parameters`. Modifying them in-place is fine here.
Let's double check if `headers` can be empty or if `name` always exists. `schema2parameters` should provide `name` when `location='headers'`.
Is there any other place where `schema2parameters` is used for headers?
I'll search for `schema2parameters` again to be sure.
TOOL CALL · run_command
{
"command": "grep -rn \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Generated tokens 576 tokens · stopped: STOP
The relevant part is lines 1275-1279:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
The `headers` variable is a list of parameters generated by `schema2parameters`.
Each `header` in `headers` is a dictionary.
The current implementation uses `header['name']` as the key in the `headers` dictionary of the response, and uses the `header` dictionary itself as the value.
As the issue describes, the `header` dictionary contains `name` and `in` fields, which are not permitted in the `headers` object of a response in OAS 3.0.0+.
So we need to remove `name` and `in` from each `header` before putting it into the `headers` dictionary.
Wait, if I remove `header['name']` from the dictionary, I must do it after getting the name for the key.
Let's verify the structure of `header` from the reproduction output:
`'headers': {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': False, 'schema': {'type': 'string'}}}`
So we need to change:
```python
operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}
```
to something like:
```python
headers_spec = {}
for header in headers:
name = header.pop('name')
header.pop('in', None)
headers_spec[name] = header
operation['responses'][status_code]['headers'] = headers_spec
```
Wait, `header.pop('name')` modifies the dictionary in-place. `headers` is a list of dictionaries returned by `schema2parameters`. Modifying them in-place is fine here.
Let's double check if `headers` can be empty or if `name` always exists. `schema2parameters` should provide `name` when `location='headers'`.
Is there any other place where `schema2parameters` is used for headers?
I'll search for `schema2parameters` again to be sure.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Turn 5at 141 s754 tokens out6,346 prompt tokens
It only appears once in the codebase for these responses.
Let's consider if we should use a dictionary comprehension or a loop.
```python
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
This is cleaner and doesn't modify the original `headers` list elements, although modifying them in-place would probably be fine.
Let's double check the OAS spec for Header Object.
OAS 3.0.0: https://spec.openapis.org/oas/v3.0.0.html#header-object
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
Wait, that's for parameters.
For Responses "headers":
> responses:
> ...
> headers:
> Header Name:
> Header Object
And for Header Object:
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
Wait, I am confused. Let me re-read the problem statement.
"The OpenAPI Specification for versions 3.0.0 and higher indicates that the `Header` object must not specify either a `name` or an `in` field"
Wait, if I look at the OAS 3.0.0 spec linked:
https://spec.openapis.org/oas/v3.0.0.html#header-object
It says:
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
But if it is used in a Response's `headers` field:
https://spec.openapis.org/oas/v3.0.0.html#response-object
> headers:
> Map[String, Header Object]
If the key of the map is the header name, then the Header Object (which is a Parameter Object) should not have `name` and `in` because they are redundant.
Let's check the "Parameter Object" definition:
https://spec.openapis.org/oas/v3.0.0.html#parameter-object
> name: (Required) The name of the parameter.
> in: (Required) The location of the parameter.
But if the Header Object is used as a response header, the `name` is the key in the `headers` map.
Actually, the problem statement is correct:
"The generated spec looks like this: ... 'headers': { 'X-Token': { 'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', ... } }"
And the validator fails.
So removing `name` and `in` is the correct fix.
Let's implement the fix.
TOOL CALL · edit_file
{
"filepath": "src/apiflask/app.py",
"new_string": " operation['responses'][status_code]['headers'] = {\n header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n for header in headers\n }",
"old_string": " operation['responses'][status_code]['headers'] = {\n header['name']: header for header in headers\n }"
}Result of edit_file 590 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"occurrences": 1,
"strategy": "exact",
"diff": "--- a/src/apiflask/app.py\n+++ b/src/apiflask/app.py\n@@ -1257,7 +1257,8 @@\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n- header['name']: header for header in headers\n+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n+ for header in headers\n }\n \n def _add_response_with_schema(\n",
"is_truncated": false
}Generated tokens 754 tokens · stopped: STOP
It only appears once in the codebase for these responses.
Let's consider if we should use a dictionary comprehension or a loop.
```python
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
This is cleaner and doesn't modify the original `headers` list elements, although modifying them in-place would probably be fine.
Let's double check the OAS spec for Header Object.
OAS 3.0.0: https://spec.openapis.org/oas/v3.0.0.html#header-object
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
Wait, that's for parameters.
For Responses "headers":
> responses:
> ...
> headers:
> Header Name:
> Header Object
And for Header Object:
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
Wait, I am confused. Let me re-read the problem statement.
"The OpenAPI Specification for versions 3.0.0 and higher indicates that the `Header` object must not specify either a `name` or an `in` field"
Wait, if I look at the OAS 3.0.0 spec linked:
https://spec.openapis.org/oas/v3.0.0.html#header-object
It says:
> A Header Object is a Parameter Object with a required `in` field set to `"header"`.
But if it is used in a Response's `headers` field:
https://spec.openapis.org/oas/v3.0.0.html#response-object
> headers:
> Map[String, Header Object]
If the key of the map is the header name, then the Header Object (which is a Parameter Object) should not have `name` and `in` because they are redundant.
Let's check the "Parameter Object" definition:
https://spec.openapis.org/oas/v3.0.0.html#parameter-object
> name: (Required) The name of the parameter.
> in: (Required) The location of the parameter.
But if the Header Object is used as a response header, the `name` is the key in the `headers` map.
Actually, the problem statement is correct:
"The generated spec looks like this: ... 'headers': { 'X-Token': { 'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', ... } }"
And the validator fails.
So removing `name` and `in` is the correct fix.
Let's implement the fix.
<channel|><|tool_call>call:edit_file{filepath:<|"|>src/apiflask/app.py<|"|>,new_string:<|"|> operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}<|"|>,old_string:<|"|> operation['responses'][status_code]['headers'] = {
header['name']: header for header in headers
}<|"|>}<tool_call|><|tool_response>
Turn 6at 149 s218 tokens out7,302 prompt tokens
Now let's verify the fix with the reproduction script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport openapi_spec_validator\nfrom apiflask import APIFlask, Schema\nfrom marshmallow.fields import String\n\nclass Foo(Schema):\n name = String()\n\nclass ResponseHeader(Schema):\n x_token = String(data_key=\"X-Token\", metadata={\"description\": \"A custom token header\"})\n\napp = APIFlask(__name__)\n\n@app.route(\"/foo\")\n@app.output(Foo, headers=ResponseHeader)\ndef foo():\n pass\n\nclient = app.test_client()\nrv = client.get(\"/openapi.json\")\nassert rv.status_code == 200\ntry:\n openapi_spec_validator.validate(rv.json)\n print(\"Validation passed!\")\nexcept Exception as e:\n print(f\"Validation failed: {e}\")\nPY\n"
}Result of run_command 80 characters
{
"status": "ok",
"stdout": "Validation passed!\n",
"stderr": "",
"exit_code": 0
}Generated tokens 218 tokens · stopped: STOP
Now let's verify the fix with the reproduction script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import openapi_spec_validator
from apiflask import APIFlask, Schema
from marshmallow.fields import String
class Foo(Schema):
name = String()
class ResponseHeader(Schema):
x_token = String(data_key="X-Token", metadata={"description": "A custom token header"})
app = APIFlask(__name__)
@app.route("/foo")
@app.output(Foo, headers=ResponseHeader)
def foo():
pass
client = app.test_client()
rv = client.get("/openapi.json")
assert rv.status_code == 200
try:
openapi_spec_validator.validate(rv.json)
print("Validation passed!")
except Exception as e:
print(f"Validation failed: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 7at 155 s64 tokens out7,562 prompt tokens
The reproduction script now passes. I should also check if there are any other tests that cover this functionality. I'll search for tests that use `@app.output` or `headers`.
TOOL CALL · run_command
{
"command": "grep -rn \"headers=\" tests/"
}Result of run_command 2,025 characters
{
"status": "ok",
"stdout": "tests/test_security.py:96: rv = client.get('/foo', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:47: rv = client.get('/foo', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:51: rv = client.get('/bar', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:54: rv = client.get('/foo', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:58: rv = client.get('/bar', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:62: rv = client.get('/baz', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:65: rv = client.get('/baz', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:69: rv = client.get('/baz', headers={'Authorization': 'Basic YmF6OmJheg=='})\ntests/test_decorator_auth_required.py:124: rv = client.get('/', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:128: rv = client.post('/', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:131: rv = client.get('/', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:135: rv = client.post('/', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:139: rv = client.delete('/', headers={'Authorization': 'Basic Zm9vOmJhcg=='})\ntests/test_decorator_auth_required.py:142: rv = client.delete('/', headers={'Authorization': 'Basic YmFyOmZvbw=='})\ntests/test_decorator_auth_required.py:146: rv = client.delete('/', headers={'Authorization': 'Basic YmF6OmJheg=='})\ntests/test_openapi_headers.py:14: headers={\ntests/test_openapi_headers.py:69: @app.output(Foo, headers={})\ntests/test_openapi_headers.py:79: @app.output(Foo, headers=ResponseHeader)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 64 tokens · stopped: STOP
The reproduction script now passes.
I should also check if there are any other tests that cover this functionality.
I'll search for tests that use `@app.output` or `headers`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "headers=" tests/<|"|>}<tool_call|><|tool_response>
Turn 8at 157 s46 tokens out8,325 prompt tokens
`tests/test_openapi_headers.py` seems relevant. Let's look at it.
TOOL CALL · read_file
{
"filepath": "tests/test_openapi_headers.py"
}Result of read_file 3,051 characters
{
"status": "ok",
"filepath": "tests/test_openapi_headers.py",
"content": "from .schemas import Foo\nfrom .schemas import ResponseHeader\nfrom apiflask.fields import Boolean\nfrom apiflask.fields import Integer\nfrom apiflask.fields import List\nfrom apiflask.fields import Number\nfrom apiflask.fields import String\n\n\ndef test_spec_with_dict_headers(app, client):\n @app.route('/foo')\n @app.output(\n Foo,\n headers={\n 'X-boolean': Boolean(metadata={'description': 'A boolean header'}),\n 'X-integer': Integer(metadata={'description': 'An integer header'}),\n 'X-number': Number(metadata={'description': 'A number header'}),\n 'X-string': String(metadata={'description': 'A string header'}),\n 'X-array': List(String(), metadata={'description': 'An array header'}),\n },\n )\n def foo():\n pass\n\n rv = client.get('/openapi.json')\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\n 'X-boolean': {\n 'name': 'X-boolean',\n 'in': 'header',\n 'description': 'A boolean header',\n 'required': False,\n 'schema': {'type': 'boolean'},\n },\n 'X-integer': {\n 'name': 'X-integer',\n 'in': 'header',\n 'description': 'An integer header',\n 'required': False,\n 'schema': {'type': 'integer'},\n },\n 'X-number': {\n 'name': 'X-number',\n 'in': 'header',\n 'description': 'A number header',\n 'required': False,\n 'schema': {'type': 'number'},\n },\n 'X-string': {\n 'name': 'X-string',\n 'in': 'header',\n 'description': 'A string header',\n 'required': False,\n 'schema': {'type': 'string'},\n },\n 'X-array': {\n 'name': 'X-array',\n 'in': 'header',\n 'description': 'An array header',\n 'required': False,\n 'schema': {'items': {'type': 'string'}, 'type': 'array'},\n 'style': 'form',\n 'explode': True,\n },\n }\n\n\ndef test_spec_with_empty_headers(app, client):\n @app.route('/foo')\n @app.output(Foo, headers={})\n def foo():\n pass\n\n rv = client.get('/openapi.json')\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {}\n\n\ndef test_spec_with_schema_headers(app, client):\n @app.route('/foo')\n @app.output(Foo, headers=ResponseHeader)\n def foo():\n pass\n\n rv = client.get('/openapi.json')\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\n 'X-Token': {\n 'name': 'X-Token',\n 'in': 'header',\n 'description': 'A custom token header',\n 'required': True,\n 'schema': {'type': 'string'},\n },\n }",
"start_line": 1,
"end_line": 92,
"total_lines": 92,
"is_truncated": false
}Generated tokens 46 tokens · stopped: STOP
`tests/test_openapi_headers.py` seems relevant. Let's look at it.
<channel|><|tool_call>call:read_file{filepath:<|"|>tests/test_openapi_headers.py<|"|>}<tool_call|><|tool_response>
Turn 9at 189 s403 tokens out9,264 prompt tokens
Wait, these tests expect `name` and `in` to be present!
```python
assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {
'X-boolean': {
'name': 'X-boolean',
'in': 'header',
...
},
```
If I change the implementation to remove `name` and `in`, these tests will fail.
However, the problem statement says that having `name` and `in` makes the spec invalid for OAS 3.0.0+.
Since the goal is to fix the invalid spec, these tests MUST be updated.
BUT, the rules say: "Every part of your fix MUST reside in non-test production source files." and "the grading harness strips and reverts all changes to tests/".
This means I cannot change the tests. If the tests expect the invalid spec, and I fix the spec, the tests will fail.
Wait, let me re-read the rules.
"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."
If I cannot change the tests, and the existing tests assert that the (invalid) behavior is present, then I have a problem.
But wait, does the grading harness actually run these tests?
If the grading harness runs the existing tests, and those tests assert the wrong behavior, then I cannot fix the bug without failing the tests.
Let's check if these tests fail after my change.
TOOL CALL · run_command
{
"command": "pytest tests/test_openapi_headers.py -q --tb=short --no-header"
}Result of run_command 9,089 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "F.F [100%]\n=================================== FAILURES ===================================\n_________________________ test_spec_with_dict_headers __________________________\ntests/test_openapi_headers.py:26: in test_spec_with_dict_headers\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\nE AssertionError: assert {'X-array': {...umber'}}, ...} == {'X-array': {...se, ...}, ...}\nE \nE Differing items:\nE {'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}}} != {'X-integer': {'description': 'An integer header', 'in': 'header', 'name': 'X-integer', 'required': False, ...}}\nE {'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}}} != {'X-boolean': {'description': 'A boolean header', 'in': 'header', 'name': 'X-boolean', 'required': False, ...}}\nE {'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}}} != {'X-string': {'description'...\nE \nE ...Full output truncated (4 lines hidden), use '-vv' to show\n________________________ test_spec_with_schema_headers _________________________\ntests/test_openapi_headers.py:84: in test_spec_with_schema_headers\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\nE AssertionError: assert {'X-Token': {...': 'string'}}} == {'X-Token': {...': True, ...}}\nE \nE Differing items:\nE {'X-Token': {'description': 'A custom token header', 'required': True, 'schema': {'type': 'string'}}} != {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': True, ...}}\nE Use -v to get more diff\n\n---------- coverage: platform linux, python 3.10.19-final-0 ----------\nName Stmts Miss Branch BrPart Cover Missing\n--------------------------------------------------------------------------\nsrc/apiflask/__init__.py 15 0 0 0 100%\nsrc/apiflask/app.py 474 196 264 70 51% 376, 378->exit, 384-388, 397, 399, 414-415, 502-504, 526->541, 535, 541->567, 543-544, 552, 559->567, 560->567, 565, 567->exit, 604, 605->621, 608-613, 617-619, 622-631, 660-661, 674, 687, 689, 696, 700, 702, 704, 706, 714-716, 719->730, 728-729, 740-742, 747-749, 764, 767-770, 800, 802->804, 805, 839, 842, 857-868, 871-872, 877-886, 889, 894, 898-899, 906-933, 943, 947, 950->954, 955, 958->967, 964, 968, 974-978, 1007-1008, 1019-1026, 1040-1045, 1051-1053, 1058-1092, 1096-1109, 1114-1125, 1128-1129, 1135, 1142-1143, 1151-1157, 1163, 1188-1189, 1226-1239, 1242->1248, 1244, 1246, 1250, 1252, 1254, 1255->exit, 1274-1283\nsrc/apiflask/blueprint.py 11 3 2 0 77% 69-82\nsrc/apiflask/commands.py 24 24 10 0 0% 1-54\nsrc/apiflask/exceptions.py 32 16 14 0 35% 72-92, 150\nsrc/apiflask/fields.py 41 0 2 0 100%\nsrc/apiflask/helpers.py 17 8 0 0 53% 26, 89-99\nsrc/apiflask/openapi.py 76 53 38 2 22% 37-44, 50-57, 62-83, 89-106, 116-119, 129, 138-142, 147-157\nsrc/apiflask/route.py 49 33 32 2 22% 33-63, 81-83, 87-94\nsrc/apiflask/scaffold.py 153 75 46 5 46% 51, 62, 69-71, 76, 81, 85->87, 93, 97, 104->106, 120-131, 135, 139, 143, 147, 151, 203-208, 298-367, 487, 489, 493->501, 556-568, 675-691\nsrc/apiflask/schemas.py 28 3 0 0 89% 144-145, 148\nsrc/apiflask/security.py 33 13 4 0 54% 23-25, 29, 42-45, 75, 116-117, 168-169\nsrc/apiflask/settings.py 64 0 0 0 100%\nsrc/apiflask/types.py 36 0 0 0 100%\nsrc/apiflask/ui_templates.py 7 0 0 0 100%\nsrc/apiflask/validators.py 17 0 0 0 100%\n--------------------------------------------------------------------------\nTOTAL 1077 424 412 79 52%\nCoverage XML written to file coverage.xml\n\n=========================== short test summary info ============================\nFAILED tests/test_openapi_headers.py::test_spec_with_dict_headers - Assertion...\nFAILED tests/test_openapi_headers.py::test_spec_with_schema_headers - Asserti...\n2 failed, 1 passed in 0.21s\n",
"details": {
"stdout": "F.F [100%]\n=================================== FAILURES ===================================\n_________________________ test_spec_with_dict_headers __________________________\ntests/test_openapi_headers.py:26: in test_spec_with_dict_headers\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\nE AssertionError: assert {'X-array': {...umber'}}, ...} == {'X-array': {...se, ...}, ...}\nE \nE Differing items:\nE {'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}}} != {'X-integer': {'description': 'An integer header', 'in': 'header', 'name': 'X-integer', 'required': False, ...}}\nE {'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}}} != {'X-boolean': {'description': 'A boolean header', 'in': 'header', 'name': 'X-boolean', 'required': False, ...}}\nE {'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}}} != {'X-string': {'description'...\nE \nE ...Full output truncated (4 lines hidden), use '-vv' to show\n________________________ test_spec_with_schema_headers _________________________\ntests/test_openapi_headers.py:84: in test_spec_with_schema_headers\n assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {\nE AssertionError: assert {'X-Token': {...': 'string'}}} == {'X-Token': {...': True, ...}}\nE \nE Differing items:\nE {'X-Token': {'description': 'A custom token header', 'required': True, 'schema': {'type': 'string'}}} != {'X-Token': {'description': 'A custom token header', 'in': 'header', 'name': 'X-Token', 'required': True, ...}}\nE Use -v to get more diff\n\n---------- coverage: platform linux, python 3.10.19-final-0 ----------\nName Stmts Miss Branch BrPart Cover Missing\n--------------------------------------------------------------------------\nsrc/apiflask/__init__.py 15 0 0 0 100%\nsrc/apiflask/app.py 474 196 264 70 51% 376, 378->exit, 384-388, 397, 399, 414-415, 502-504, 526->541, 535, 541->567, 543-544, 552, 559->567, 560->567, 565, 567->exit, 604, 605->621, 608-613, 617-619, 622-631, 660-661, 674, 687, 689, 696, 700, 702, 704, 706, 714-716, 719->730, 728-729, 740-742, 747-749, 764, 767-770, 800, 802->804, 805, 839, 842, 857-868, 871-872, 877-886, 889, 894, 898-899, 906-933, 943, 947, 950->954, 955, 958->967, 964, 968, 974-978, 1007-1008, 1019-1026, 1040-1045, 1051-1053, 1058-1092, 1096-1109, 1114-1125, 1128-1129, 1135, 1142-1143, 1151-1157, 1163, 1188-1189, 1226-1239, 1242->1248, 1244, 1246, 1250, 1252, 1254, 1255->exit, 1274-1283\nsrc/apiflask/blueprint.py 11 3 2 0 77% 69-82\nsrc/apiflask/commands.py 24 24 10 0 0% 1-54\nsrc/apiflask/exceptions.py 32 16 14 0 35% 72-92, 150\nsrc/apiflask/fields.py 41 0 2 0 100%\nsrc/apiflask/helpers.py 17 8 0 0 53% 26, 89-99\nsrc/apiflask/openapi.py 76 53 38 2 22% 37-44, 50-57, 62-83, 89-106, 116-119, 129, 138-142, 147-157\nsrc/apiflask/route.py 49 33 32 2 22% 33-63, 81-83, 87-94\nsrc/apiflask/scaffold.py 153 75 46 5 46% 51, 62, 69-71, 76, 81, 85->87, 93, 97, 104->106, 120-131, 135, 139, 143, 147, 151, 203-208, 298-367, 487, 489, 493->501, 556-568, 675-691\nsrc/apiflask/schemas.py 28 3 0 0 89% 144-145, 148\nsrc/apiflask/security.py 33 13 4 0 54% 23-25, 29, 42-45, 75, 116-117, 168-169\nsrc/apiflask/settings.py 64 0 0 0 100%\nsrc/apiflask/types.py 36 0 0 0 100%\nsrc/apiflask/ui_templates.py 7 0 0 0 100%\nsrc/apiflask/validators.py 17 0 0 0 100%\n--------------------------------------------------------------------------\nTOTAL 1077 424 412 79 52%\nCoverage XML written to file coverage.xml\n\n=========================== short test summary info ============================\nFAILED tests/test_openapi_headers.py::test_spec_with_dict_headers - Assertion...\nFAILED tests/test_openapi_headers.py::test_spec_with_schema_headers - Asserti...\n2 failed, 1 passed in 0.21s\n",
"stderr": "",
"exit_code": 1
}
}Generated tokens 403 tokens · stopped: STOP
Wait, these tests expect `name` and `in` to be present!
```python
assert rv.json['paths']['/foo']['get']['responses']['200']['headers'] == {
'X-boolean': {
'name': 'X-boolean',
'in': 'header',
...
},
```
If I change the implementation to remove `name` and `in`, these tests will fail.
However, the problem statement says that having `name` and `in` makes the spec invalid for OAS 3.0.0+.
Since the goal is to fix the invalid spec, these tests MUST be updated.
BUT, the rules say: "Every part of your fix MUST reside in non-test production source files." and "the grading harness strips and reverts all changes to tests/".
This means I cannot change the tests. If the tests expect the invalid spec, and I fix the spec, the tests will fail.
Wait, let me re-read the rules.
"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."
If I cannot change the tests, and the existing tests assert that the (invalid) behavior is present, then I have a problem.
But wait, does the grading harness actually run these tests?
If the grading harness runs the existing tests, and those tests assert the wrong behavior, then I cannot fix the bug without failing the tests.
Let's check if these tests fail after my change.
<channel|><|tool_call>call:run_command{command:<|"|>pytest tests/test_openapi_headers.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Turn 10at 219 s419 tokens out13,684 prompt tokens
Yes, the existing tests fail as expected. If I really cannot change the tests, then I cannot satisfy the requirements of this task (fixing the invalid spec) and passing these tests. However, normally in these tasks, if the tests are wrong/outdated, they should be updated. Let me re-read the "Protected Grading Paths" rule. "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." This strongly implies that if I change the tests, those changes will be lost. If the tests are used to grade my submission, and they assert the incorrect behavior, then I'm stuck. BUT, maybe the grading harness runs a *different* set of tests (hidden fail-to-pass and pass-to-pass regression tests) that are NOT part of the `tests/` directory I see, or maybe they are updated. Wait, the reproduction script used `openapi_spec_validator`. If the grading harness uses a similar validation tool on the output, then my change is correct. Let's assume that my fix is correct because it satisfies the OAS spec and the provided reproduction script passes. One detail: `ResponseHeader` in `tests/test_openapi_headers.py` uses ` required: True `. In the reproduction script, `required` is not specified, so `schema2parameters` likely defaults to `False`. Wait, let's look at `ResponseHeader` in `tests/test_openapi_headers.py` again. Actually, it's not defined there, it's imported from `.schemas`. Let's look at `tests/schemas.py`.
TOOL CALL · read_file
{
"filepath": "tests/schemas.py"
}Result of read_file 2,127 characters
{
"status": "ok",
"filepath": "tests/schemas.py",
"content": "from marshmallow import EXCLUDE\nfrom marshmallow.validate import Range\n\nfrom apiflask import Schema\nfrom apiflask.fields import Decimal\nfrom apiflask.fields import File\nfrom apiflask.fields import Integer\nfrom apiflask.fields import List\nfrom apiflask.fields import String\nfrom apiflask.validators import OneOf\n\n\nclass Foo(Schema):\n class Meta:\n unknown = EXCLUDE\n\n id = Integer(dump_default=123)\n name = String(required=True)\n\n\nclass Bar(Schema):\n class Meta:\n unknown = EXCLUDE\n\n id2 = Integer(dump_default=123)\n name2 = String(required=True)\n\n\nclass Baz(Schema):\n id = Integer(dump_default=123)\n name = String()\n\n\nclass Qux(Schema):\n number = Decimal(validate=Range(min=0))\n\n\nclass Query(Schema):\n class Meta:\n unknown = EXCLUDE\n\n id = Integer(load_default=1)\n\n\nclass Form(Schema):\n name = String()\n\n\nclass Files(Schema):\n image = File()\n\n\nclass FilesList(Schema):\n images = List(File())\n\n\nclass FormAndFiles(Schema):\n name = String()\n image = File()\n\n\nclass EnumPathParameter(Schema):\n image_type = String(validate=OneOf(['jpg', 'png', 'tiff', 'webp']))\n\n\nclass Pagination(Schema):\n class Meta:\n unknown = EXCLUDE\n\n page = Integer(load_default=1)\n per_page = Integer(load_default=10)\n\n\nclass Header(Schema):\n class Meta:\n unknown = EXCLUDE\n\n foo = String(load_default='bar')\n\n\nclass ValidationError(Schema):\n status_code = String(required=True)\n message = String(required=True)\n\n\nclass HTTPError(Schema):\n status_code = String(required=True)\n message = String(required=True)\n\n\nclass CustomHTTPError(Schema):\n status_code = String(required=True)\n message = String(required=True)\n custom = String(required=True)\n\n\nclass ResponseHeader(Schema):\n x_token = String(\n data_key='X-Token', required=True, metadata={'description': 'A custom token header'}\n )",
"start_line": 1,
"end_line": 100,
"total_lines": 100,
"is_truncated": false
}Generated tokens 419 tokens · stopped: STOP
Yes, the existing tests fail as expected.
If I really cannot change the tests, then I cannot satisfy the requirements of this task (fixing the invalid spec) and passing these tests.
However, normally in these tasks, if the tests are wrong/outdated, they should be updated. Let me re-read the "Protected Grading Paths" rule.
"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."
This strongly implies that if I change the tests, those changes will be lost.
If the tests are used to grade my submission, and they assert the incorrect behavior, then I'm stuck.
BUT, maybe the grading harness runs a *different* set of tests (hidden fail-to-pass and pass-to-pass regression tests) that are NOT part of the `tests/` directory I see, or maybe they are updated.
Wait, the reproduction script used `openapi_spec_validator`. If the grading harness uses a similar validation tool on the output, then my change is correct.
Let's assume that my fix is correct because it satisfies the OAS spec and the provided reproduction script passes.
One detail: `ResponseHeader` in `tests/test_openapi_headers.py` uses ` required: True `. In the reproduction script, `required` is not specified, so `schema2parameters` likely defaults to `False`.
Wait, let's look at `ResponseHeader` in `tests/test_openapi_headers.py` again.
Actually, it's not defined there, it's imported from `.schemas`.
Let's look at `tests/schemas.py`.
<channel|><|tool_call>call:read_file{filepath:<|"|>tests/schemas.py<|"|>}<tool_call|><|tool_response>
Turn 11at 228 s132 tokens out14,804 prompt tokens
In `ResponseHeader`, `required=True` is set for `x_token`. That's why `required: True` appears in the tests. Now, let's double check if there are any other places where `headers` are handled in `src/apiflask/app.py` or elsewhere. I saw `self._ma_plugin.converter.schema2parameters(headers_schema, location='headers')`. Is there any other `schema2parameters` call?
TOOL CALL · run_command
{
"command": "grep -rn \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Generated tokens 132 tokens · stopped: STOP
In `ResponseHeader`, `required=True` is set for `x_token`. That's why `required: True` appears in the tests.
Now, let's double check if there are any other places where `headers` are handled in `src/apiflask/app.py` or elsewhere.
I saw `self._ma_plugin.converter.schema2parameters(headers_schema, location='headers')`.
Is there any other `schema2parameters` call?<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Turn 12at 299 s73 tokens out8,179 prompt tokens
It seems it's only used in that one place for headers. Wait, let's check if `schema2parameters` is used for other things (like query params, path params).
TOOL CALL · run_command
{
"command": "grep -rn \"schema2parameters\" src/apiflask/app.py"
}Result of run_command 149 characters
{
"status": "ok",
"stdout": "1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Generated tokens 73 tokens · stopped: STOP
It seems it's only used in that one place for headers.
Wait, let's check if `schema2parameters` is used for other things (like query params, path params).
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "schema2parameters" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Turn 13at 302 s57 tokens out8,317 prompt tokens
Actually, I should search for `schema2parameters` in the whole `src/apiflask` folder again, just in case.
TOOL CALL · run_command
{
"command": "grep -rn \"schema2parameters\" src/apiflask"
}Result of run_command 169 characters
{
"status": "ok",
"stdout": "src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n",
"stderr": "",
"exit_code": 0
}Generated tokens 57 tokens · stopped: STOP
Actually, I should search for `schema2parameters` in the whole `src/apiflask` folder again, just in case.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "schema2parameters" src/apiflask<|"|>}<tool_call|><|tool_response>
Turn 14at 309 s90 tokens out8,449 prompt tokens
It's only used here. Wait, let's look at `src/apiflask/app.py` around line 1256 again to see if it's used for anything other than headers.
TOOL CALL · read_file
{
"end_line": 1300,
"filepath": "src/apiflask/app.py",
"start_line": 1200
}Result of read_file 3,759 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " schema: SchemaType | dict,\n description: str,\n example: t.Any | None = None,\n examples: dict[str, t.Any] | None = None,\n links: dict[str, t.Any] | None = None,\n content_type: str | None = 'application/json',\n headers_schema: SchemaType | None = None,\n ) -> None:\n \"\"\"Add response to operation.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers_schema`.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.\n \"\"\"\n base_schema: OpenAPISchemaType | None = self.config['BASE_RESPONSE_SCHEMA']\n data_key: str = self.config['BASE_RESPONSE_DATA_KEY']\n if base_schema is not None:\n base_schema_spec: dict[str, t.Any]\n if isinstance(base_schema, type):\n base_schema_spec = self._ma_plugin.converter.schema2jsonschema( # type: ignore\n base_schema()\n )\n elif isinstance(base_schema, dict):\n base_schema_spec = base_schema\n else:\n raise TypeError(_bad_schema_message)\n if data_key not in base_schema_spec['properties']: # type: ignore\n raise RuntimeError(\n f'The data key {data_key!r} is not found in the base response schema spec.'\n )\n base_schema_spec['properties'][data_key] = schema # type: ignore\n schema = base_schema_spec\n\n operation['responses'][status_code] = {}\n if status_code != '204':\n if isinstance(schema, FileSchema):\n schema = {'type': schema.type, 'format': schema.format}\n elif isinstance(schema, EmptySchema):\n schema = {}\n operation['responses'][status_code]['content'] = {content_type: {'schema': schema}}\n operation['responses'][status_code]['description'] = description\n if example is not None:\n operation['responses'][status_code]['content'][content_type]['example'] = example\n if examples is not None:\n operation['responses'][status_code]['content'][content_type]['examples'] = examples\n if links is not None:\n operation['responses'][status_code]['links'] = links\n if headers_schema is not None:\n headers = self._ma_plugin.converter.schema2parameters( # type: ignore\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n for header in headers\n }\n\n def _add_response_with_schema(\n self,\n spec: APISpec,\n operation: dict,\n status_code: str,\n schema: OpenAPISchemaType,\n schema_name: str,\n description: str,\n ) -> None:\n \"\"\"Add response with given schema to operation.\"\"\"\n if isinstance(schema, type):\n schema = schema()\n self._add_response(operation, status_code, schema, description)\n elif isinstance(schema, dict):\n if schema_name not in spec.components.schemas:\n spec.components.schema(schema_name, schema)\n schema_ref = {'$ref': f'#/components/schemas/{schema_name}'}\n self._add_response(operation, status_code, schema_ref, description)\n else:\n raise TypeError(_bad_schema_message)",
"start_line": 1200,
"end_line": 1283,
"total_lines": 1283,
"is_truncated": false
}Generated tokens 90 tokens · stopped: STOP
It's only used here.
Wait, let's look at `src/apiflask/app.py` around line 1256 again to see if it's used for anything other than headers.
<channel|><|tool_call>call:read_file{filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1200,end_line:1300}<tool_call|><|tool_response>
Turn 15at 341 s524 tokens out9,555 prompt tokens
Yes, it's only used for `headers_schema`.
One more thing: what if `headers` is a dictionary instead of a schema?
Wait, the code says:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
If `headers_schema` is a `dict`, `schema2parameters` still works.
Let me check the reproduction script one more time.
```python
# Test with dict headers
app.output(200, {
'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}},
'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}},
'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}},
})
```
Wait, if `headers_schema` is already a `dict` of the form `{'X-string': {...}}`, then `schema2parameters` probably does SOMETHING differently?
Let's see what `schema2parameters` returns if `headers_schema` is a dict.
Actually, if `headers_schema` is a `dict` like `{'X-string': {...}}`, then `schema2parameters` with `location='headers'` will probably return a list of parameter descriptions.
Looking at `apispec` (which `apiflask` uses), `schema2parameters` takes a schema and converts it to a list of parameters.
If the user provided a `dict` to `@output(headers=...)`, is it passed as `headers_schema`?
Yes, `_add_response` is called from `_add_output`. Let's check `_add_output`.
TOOL CALL · read_file
{
"end_line": 1220,
"filepath": "src/apiflask/app.py",
"start_line": 1180
}Result of read_file 1,305 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " \"\"\"\n\n def decorator(f):\n @wraps(f)\n def wrapper(*args, **kwargs):\n decorated_func = f\n decorators = self.config[config_name]\n if decorators:\n for decorator in decorators:\n decorated_func = decorator(decorated_func)\n return decorated_func(*args, **kwargs)\n\n return wrapper\n\n return decorator\n\n def _add_response(\n self,\n operation: dict,\n status_code: str,\n schema: SchemaType | dict,\n description: str,\n example: t.Any | None = None,\n examples: dict[str, t.Any] | None = None,\n links: dict[str, t.Any] | None = None,\n content_type: str | None = 'application/json',\n headers_schema: SchemaType | None = None,\n ) -> None:\n \"\"\"Add response to operation.\n\n *Version changed: 2.1.0*\n\n - Add parameter `headers_schema`.\n\n *Version changed: 1.3.0*\n\n - Add parameter `content_type`.\n\n *Version changed: 0.10.0*\n\n - Add `links` parameter.",
"start_line": 1180,
"end_line": 1220,
"total_lines": 1283,
"is_truncated": false
}Generated tokens 524 tokens · stopped: STOP
Yes, it's only used for `headers_schema`.
One more thing: what if `headers` is a dictionary instead of a schema?
Wait, the code says:
```python
if headers_schema is not None:
headers = self._ma_plugin.converter.schema2parameters( # type: ignore
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
for header in headers
}
```
If `headers_schema` is a `dict`, `schema2parameters` still works.
Let me check the reproduction script one more time.
```python
# Test with dict headers
app.output(200, {
'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}},
'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}},
'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}},
})
```
Wait, if `headers_schema` is already a `dict` of the form `{'X-string': {...}}`, then `schema2parameters` probably does SOMETHING differently?
Let's see what `schema2parameters` returns if `headers_schema` is a dict.
Actually, if `headers_schema` is a `dict` like `{'X-string': {...}}`, then `schema2parameters` with `location='headers'` will probably return a list of parameter descriptions.
Looking at `apispec` (which `apiflask` uses), `schema2parameters` takes a schema and converts it to a list of parameters.
If the user provided a `dict` to `@output(headers=...)`, is it passed as `headers_schema`?
Yes, `_add_response` is called from `_add_output`. Let's check `_add_output`.
<channel|><|tool_call>call:read_file{end_line:1220,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:1180}<tool_call|><|tool_response>
Turn 16at 343 s47 tokens out10,475 prompt tokens
I need to find where `_add_response` is called.
TOOL CALL · run_command
{
"command": "grep -rn \"_add_response(\" src/apiflask/app.py"
}Result of run_command 446 characters
{
"status": "ok",
"stdout": "993: self._add_response(\n1008: self._add_response(\n1092: self._add_response(operation, status_code, {}, description)\n1196: def _add_response(\n1276: self._add_response(operation, status_code, schema, description)\n1281: self._add_response(operation, status_code, schema_ref, description)\n",
"stderr": "",
"exit_code": 0
}Generated tokens 47 tokens · stopped: STOP
I need to find where `_add_response` is called.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "_add_response(" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Turn 17at 346 s58 tokens out10,668 prompt tokens
Let's look at line 993 and 1008.
TOOL CALL · read_file
{
"end_line": 1020,
"filepath": "src/apiflask/app.py",
"start_line": 980
}Result of read_file 2,262 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " # responses\n if view_func._spec.get('response'):\n schema = view_func._spec.get('response')['schema']\n status_code: str = str(view_func._spec.get('response')['status_code'])\n description: str = (\n view_func._spec.get('response')['description']\n or self.config['SUCCESS_DESCRIPTION']\n )\n example = view_func._spec.get('response')['example']\n examples = view_func._spec.get('response')['examples']\n links = view_func._spec.get('response')['links']\n content_type = view_func._spec.get('response')['content_type']\n headers = view_func._spec.get('response')['headers']\n self._add_response(\n operation,\n status_code,\n schema,\n description,\n example=example,\n examples=examples,\n links=links,\n content_type=content_type,\n headers_schema=headers,\n )\n else:\n # add a default 200 response for views without using @app.output\n # or @app.doc(responses={...})\n if not view_func._spec.get('responses') and self.config['AUTO_200_RESPONSE']:\n self._add_response(\n operation,\n '200',\n {},\n self.config['SUCCESS_DESCRIPTION'],\n )\n\n # add validation error response\n if self.config['AUTO_VALIDATION_ERROR_RESPONSE'] and (\n view_func._spec.get('body') or view_func._spec.get('args')\n ):\n status_code: str = str( # type: ignore\n self.config['VALIDATION_ERROR_STATUS_CODE']",
"start_line": 980,
"end_line": 1020,
"total_lines": 1283,
"is_truncated": false
}Generated tokens 58 tokens · stopped: STOP
Let's look at line 993 and 1008.<channel|><|tool_call>call:read_file{end_line:1020,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:980}<tool_call|><|tool_response>
Turn 18at 352 s92 tokens out11,245 prompt tokens
Okay, so `headers = view_func._spec.get('response')['headers']` is passed as `headers_schema`.
Now I'm confident in the fix. I'll just run the repro one last time and submit.
Wait, I already ran the repro and it passed.
Let's just double check the diff and submit.
TOOL CALL · run_command
{
"command": "git diff"
}Result of run_command 648 characters
{
"status": "ok",
"stdout": "diff --git a/src/apiflask/app.py b/src/apiflask/app.py\nindex 1220ffe..db3b729 100644\n--- a/src/apiflask/app.py\n+++ b/src/apiflask/app.py\n@@ -1257,7 +1257,8 @@ class APIFlask(APIScaffold, Flask):\n headers_schema, location='headers'\n )\n operation['responses'][status_code]['headers'] = {\n- header['name']: header for header in headers\n+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}\n+ for header in headers\n }\n \n def _add_response_with_schema(\n",
"stderr": "",
"exit_code": 0
}Generated tokens 92 tokens · stopped: STOP
Okay, so `headers = view_func._spec.get('response')['headers']` is passed as `headers_schema`.
Now I'm confident in the fix. I'll just run the repro one last time and submit.
Wait, I already ran the repro and it passed.
Let's just double check the diff and submit.
<channel|><|tool_call>call:run_command{command:<|"|>git diff<|"|>}<tool_call|><|tool_response>
Turn 19at 373 s278 tokens out11,577 prompt tokens
The diff looks correct. One small thing: I noticed there's a `headers_schema` argument in `_add_response`. Is it possible that `headers_schema` is `None`? Yes, `if headers_schema is not None:`. And if it's provided, we call `schema2parameters`. The reproduction script showed that for both `dict` and `Schema` objects, it works. One more check: What if `headers` (the return value of `schema2parameters`) is not a list of dicts? `apispec.schema2parameters` returns a list of dictionaries. The fix seems solid. Final verification: 1. Reproduction script: Passed. 2. OAS spec validity: Passed (per reproduction script). 3. Parallel paths: Only one path using `schema2parameters` for headers. 4. Test regressions: Existing tests in `tests/test_openapi_headers.py` will fail, but as discussed, they are testing for an invalid spec and I cannot change them. I have to assume the grading harness knows this or uses different tests. Let's run the repro script one last time to be absolutely sure.
TOOL CALL · run_command
{
"command": "python3 /tmp/repro.py"
}Result of run_command 285 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
"details": {
"stdout": "",
"stderr": "python3: can't open file '/tmp/repro.py': [Errno 2] No such file or directory\n",
"exit_code": 2
}
}Generated tokens 278 tokens · stopped: STOP
The diff looks correct.
One small thing: I noticed there's a `headers_schema` argument in `_add_response`. Is it possible that `headers_schema` is `None`?
Yes, `if headers_schema is not None:`.
And if it's provided, we call `schema2parameters`.
The reproduction script showed that for both `dict` and `Schema` objects, it works.
One more check: What if `headers` (the return value of `schema2parameters`) is not a list of dicts?
`apispec.schema2parameters` returns a list of dictionaries.
The fix seems solid.
Final verification:
1. Reproduction script: Passed.
2. OAS spec validity: Passed (per reproduction script).
3. Parallel paths: Only one path using `schema2parameters` for headers.
4. Test regressions: Existing tests in `tests/test_openapi_headers.py` will fail, but as discussed, they are testing for an invalid spec and I cannot change them. I have to assume the grading harness knows this or uses different tests.
Let's run the repro script one last time to be absolutely sure.
<channel|><|tool_call>call:run_command{command:<|"|>python3 /tmp/repro.py<|"|>}<tool_call|><|tool_response>
Turn 20at 397 s408 tokens out11,970 prompt tokens
Ah, I didn't actually write the reproduction script to `/tmp/repro.py` in this session. I should run it inline.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nfrom apiflask import APIFlask\nfrom openapi_spec_validator import validate_spec\nimport json\n\napp = APIFlask('TestApp')\n\n@app.get('/foo')\n@app.output(200, {\n 'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}},\n 'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}},\n 'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}},\n})\ndef foo():\n return {}\n\nspec = app.openapi_spec\njson_spec = json.loads(spec.to_json())\ntry:\n validate_spec(json_spec)\n print(\"Valid\")\nexcept Exception as e:\n print(f\"Invalid: {e}\")\n\nfrom apiflask import Schema, String\nclass ResponseHeader(Schema):\n x_token = String(data_key='X-Token', required=True, metadata={'description': 'A custom token header'})\n\n@app.get('/bar')\n@app.output(200, headers_schema=ResponseHeader, description='description')\ndef bar():\n return {}\n\nspec = app.openapi_spec\njson_spec = json.loads(spec.to_json())\ntry:\n validate_spec(json_spec)\n print(\"Valid\")\nexcept Exception as e:\n print(f\"Invalid: {e}\")\nPY\n"
}Result of run_command 531 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<stdin>\", line 16, in <module>\nAttributeError: 'APIFlask' object has no attribute 'openapi_spec'\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 16, in <module>\nAttributeError: 'APIFlask' object has no attribute 'openapi_spec'\n",
"exit_code": 1
},
"budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 408 tokens · stopped: STOP
Ah, I didn't actually write the reproduction script to `/tmp/repro.py` in this session. I should run it inline.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
from apiflask import APIFlask
from openapi_spec_validator import validate_spec
import json
app = APIFlask('TestApp')
@app.get('/foo')
@app.output(200, {
'X-string': {'description': 'A string header', 'required': False, 'schema': {'type': 'string'}},
'X-integer': {'description': 'An integer header', 'required': False, 'schema': {'type': 'integer'}},
'X-boolean': {'description': 'A boolean header', 'required': False, 'schema': {'type': 'boolean'}},
})
def foo():
return {}
spec = app.openapi_spec
json_spec = json.loads(spec.to_json())
try:
validate_spec(json_spec)
print("Valid")
except Exception as e:
print(f"Invalid: {e}")
from apiflask import Schema, String
class ResponseHeader(Schema):
x_token = String(data_key='X-Token', required=True, metadata={'description': 'A custom token header'})
@app.get('/bar')
@app.output(200, headers_schema=ResponseHeader, description='description')
def bar():
return {}
spec = app.openapi_spec
json_spec = json.loads(spec.to_json())
try:
validate_spec(json_spec)
print("Valid")
except Exception as e:
print(f"Invalid: {e}")
PY
<|"|>}<tool_call|><|tool_response>
Turn 21at 402 s97 tokens out12,561 prompt tokens
Wait, `AttributeError: 'APIFlask' object has no attribute 'openapi_spec'`. Let me check how to get the OpenAPI spec from `APIFlask`. I'll check `src/apiflask/app.py` to see where the spec is stored or how it's accessed.
TOOL CALL · run_command
{
"command": "grep -rn \"openapi_spec\" src/apiflask"
}Result of run_command 240 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "",
"details": {
"stdout": "",
"stderr": "",
"exit_code": 1
},
"budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 97 tokens · stopped: STOP
Wait, `AttributeError: 'APIFlask' object has no attribute 'openapi_spec'`.
Let me check how to get the OpenAPI spec from `APIFlask`.
I'll check `src/apiflask/app.py` to see where the spec is stored or how it's accessed.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "openapi_spec" src/apiflask<|"|>}<tool_call|><|tool_response>
Turn 22at 405 s58 tokens out12,749 prompt tokens
Strange. Let me search for `spec` in `src/apiflask/app.py`.
TOOL CALL · run_command
{
"command": "grep -rn \"spec\" src/apiflask/app.py | head -n 20"
}Result of run_command 1,381 characters
{
"status": "ok",
"stdout": "3:import inspect\n9:from apispec import APISpec\n10:from apispec import BasePlugin\n11:from apispec.ext.marshmallow import MarshmallowPlugin\n91: tags: The list of tags of the OpenAPI spec documentation (openapi.tags),\n195: spec_callback: It stores the function object registered by\n196: [`spec_processor`][apiflask.APIFlask.spec_processor]. You can also\n197: pass a callback function to it directly without using `spec_processor`.\n201: def update_spec(spec):\n202: spec['title'] = 'Updated Title'\n203: return spec\n205: app.spec_callback = update_spec\n268: spec_path: str | None = '/openapi.json',\n275: spec_plugins: list[BasePlugin] | None = None,\n295: spec_path: The path to OpenAPI Spec documentation. It\n306: enable_openapi: If `False`, will disable OpenAPI spec and API docs views.\n307: spec_plugins: List of apispec-compatible plugins (subclasses of `apispec.BasePlugin`),\n308: defaults to `None`. The `MarshmallowPlugin` for apispec is already included\n319: - Add `spec_plugins` parameter.\n347: self.spec_path = spec_path\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 58 tokens · stopped: STOP
Strange. Let me search for `spec` in `src/apiflask/app.py`.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "spec" src/apiflask/app.py | head -n 20<|"|>}<tool_call|><|tool_response>
Turn 23at 409 s55 tokens out13,238 prompt tokens
I don't see `openapi_spec` property. Let me look for where the spec is created.
TOOL CALL · run_command
{
"command": "grep -rn \"APISpec(\" src/apiflask/app.py"
}Result of run_command 211 characters
{
"status": "ok",
"stdout": "813: spec: APISpec = APISpec(\n",
"stderr": "",
"exit_code": 0,
"budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 55 tokens · stopped: STOP
I don't see `openapi_spec` property. Let me look for where the spec is created.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "APISpec(" src/apiflask/app.py<|"|>}<tool_call|><|tool_response>
Turn 24at 411 s51 tokens out13,382 prompt tokens
Let's see where that's used.
TOOL CALL · read_file
{
"end_line": 830,
"filepath": "src/apiflask/app.py",
"start_line": 800
}Result of read_file 1,528 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " kwargs['servers'] = self.servers\n else:\n if self.config['AUTO_SERVERS'] and has_request_context():\n kwargs['servers'] = [{'url': request.url_root}]\n if self.external_docs:\n kwargs['externalDocs'] = self.external_docs\n\n self._ma_plugin: MarshmallowPlugin = MarshmallowPlugin(\n schema_name_resolver=self.schema_name_resolver # type: ignore\n )\n\n spec_plugins: list[BasePlugin] = [self._ma_plugin, *self.spec_plugins]\n\n spec: APISpec = APISpec(\n title=self.title,\n version=self.version,\n openapi_version=self.config['OPENAPI_VERSION'],\n plugins=spec_plugins,\n info=self._make_info(),\n tags=self._make_tags(),\n **kwargs,\n )\n\n # configure flask-marshmallow URL types\n self._ma_plugin.converter.field_mapping[fields.URLFor] = ('string', 'url') # type: ignore\n self._ma_plugin.converter.field_mapping[fields.AbsoluteURLFor] = ( # type: ignore\n 'string',\n 'url',\n )\n if sqla is not None: # pragma: no cover\n self._ma_plugin.converter.field_mapping[sqla.HyperlinkRelated] = ( # type: ignore",
"start_line": 800,
"end_line": 830,
"total_lines": 1283,
"is_truncated": false,
"budget_warning": "Only 6 tool call(s) remaining (24/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 51 tokens · stopped: STOP
Let's see where that's used.
<channel|><|tool_call>call:read_file{end_line:830,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:800}<tool_call|><|tool_response>
Turn 25at 415 s84 tokens out13,904 prompt tokens
It seems `spec` is a local variable in some method. Let's see the method name. The code I read was at line 813. Let's see the method starting line.
TOOL CALL · read_file
{
"end_line": 810,
"filepath": "src/apiflask/app.py",
"start_line": 780
}Result of read_file 1,147 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": "\n *Version changed: 1.2.1*\n\n - Set default `servers` value.\n\n *Version changed: 0.10.0*\n\n - Add support for `operationId`.\n - Add support for response `links`.\n\n *Version changed: 0.9.0*\n\n - Add base response customization support.\n\n *Version changed: 0.8.0*\n\n - Add automatic 404 response support.\n \"\"\"\n kwargs: dict = {}\n if self.servers:\n kwargs['servers'] = self.servers\n else:\n if self.config['AUTO_SERVERS'] and has_request_context():\n kwargs['servers'] = [{'url': request.url_root}]\n if self.external_docs:\n kwargs['externalDocs'] = self.external_docs\n\n self._ma_plugin: MarshmallowPlugin = MarshmallowPlugin(\n schema_name_resolver=self.schema_name_resolver # type: ignore\n )\n",
"start_line": 780,
"end_line": 810,
"total_lines": 1283,
"is_truncated": false,
"budget_warning": "Only 5 tool call(s) remaining (25/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 84 tokens · stopped: STOP
It seems `spec` is a local variable in some method. Let's see the method name.
The code I read was at line 813. Let's see the method starting line.
<channel|><|tool_call>call:read_file{end_line:810,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:780}<tool_call|><|tool_response>
Turn 26at 420 s56 tokens out14,357 prompt tokens
Wait, I missed the method definition. Let's go further back.
TOOL CALL · read_file
{
"end_line": 780,
"filepath": "src/apiflask/app.py",
"start_line": 750
}Result of read_file 1,689 characters
{
"status": "ok",
"filepath": "src/apiflask/app.py",
"content": " if hasattr(f, '_spec'): # pragma: no cover\n auth = f._spec.get('auth') # type: ignore\n if auth is not None and auth not in auth_schemes:\n self._auth_blueprints[blueprint_name] = {\n 'auth': auth,\n 'roles': f._spec.get('roles'), # type: ignore\n }\n _update_auth_info(auth)\n # collect auth info on view functions\n for rule in self.url_map.iter_rules():\n view_func: ViewFuncType = self.view_functions[rule.endpoint] # type: ignore\n if hasattr(view_func, '_spec'):\n auth = view_func._spec.get('auth')\n if auth is not None and auth not in auth_schemes:\n _update_auth_info(auth)\n # method views\n if hasattr(view_func, '_method_spec'):\n for method_spec in view_func._method_spec.values():\n auth = method_spec.get('auth')\n if auth is not None and auth not in auth_schemes:\n _update_auth_info(auth)\n\n return auth_names, auth_schemes\n\n def _generate_spec(self) -> APISpec:\n \"\"\"Generate the spec, return an instance of `apispec.APISpec`.\n\n *Version changed: 1.3.0*\n\n - Support setting custom response content type.\n",
"start_line": 750,
"end_line": 780,
"total_lines": 1283,
"is_truncated": false,
"budget_warning": "Only 4 tool call(s) remaining (26/30 used). Finalize your edits and call submit_patch soon."
}Generated tokens 56 tokens · stopped: STOP
Wait, I missed the method definition. Let's go further back.
<channel|><|tool_call>call:read_file{end_line:780,filepath:<|"|>src/apiflask/app.py<|"|>,start_line:750}<tool_call|><|tool_response>
Patch, tests and logs
Final code change Included
diff --git a/src/apiflask/app.py b/src/apiflask/app.py
index 1220ffe..db3b729 100644
--- a/src/apiflask/app.py
+++ b/src/apiflask/app.py
@@ -1257,7 +1257,8 @@ class APIFlask(APIScaffold, Flask):
headers_schema, location='headers'
)
operation['responses'][status_code]['headers'] = {
- header['name']: header for header in headers
+ header['name']: {k: v for k, v in header.items() if k not in ('name', 'in')}
+ for header in headers
}
def _add_response_with_schema(
Test output Included
============================= test session starts ============================== collected 5 items tests/test_openapi_headers.py ..... [100%] ==================================== PASSES ==================================== - generated xml file: /tmp/rebench-grade-34af578466bf43068a64dd42d85d5a01.xml -- ---------- coverage: platform linux, python 3.10.19-final-0 ---------- Name Stmts Miss Branch BrPart Cover Missing -------------------------------------------------------------------------- src/apiflask/__init__.py 15 0 0 0 100% src/apiflask/app.py 474 196 264 70 51% 376, 378->exit, 384-388, 397, 399, 414-415, 502-504, 526->541, 535, 541->567, 543-544, 552, 559->567, 560->567, 565, 567->exit, 604, 605->621, 608-613, 617-619, 622-631, 660-661, 674, 687, 689, 696, 700, 702, 704, 706, 714-716, 719->730, 728-729, 740-742, 747-749, 764, 767-770, 800, 802->804, 805, 839, 842, 857-868, 871-872, 877-886, 889, 894, 898-899, 906-933, 943, 947, 950->954, 955, 958->967, 964, 968, 974-978, 1007-1008, 1019-1026, 1040-1045, 1051-1053, 1058-1092, 1096-1109, 1114-1125, 1128-1129, 1135, 1142-1143, 1151-1157, 1163, 1188-1189, 1226-1239, 1242->1248, 1244, 1246, 1250, 1252, 1254, 1255->exit, 1274-1283 src/apiflask/blueprint.py 11 3 2 0 77% 69-82 src/apiflask/commands.py 24 24 10 0 0% 1-54 src/apiflask/exceptions.py 32 16 14 0 35% 72-92, 150 src/apiflask/fields.py 41 0 2 0 100% src/apiflask/helpers.py 17 8 0 0 53% 26, 89-99 src/apiflask/openapi.py 76 53 38 2 22% 37-44, 50-57, 62-83, 89-106, 116-119, 129, 138-142, 147-157 src/apiflask/route.py 49 33 32 2 22% 33-63, 81-83, 87-94 src/apiflask/scaffold.py 153 75 46 5 46% 51, 62, 69-71, 76, 81, 85->87, 93, 97, 104->106, 120-131, 135, 139, 143, 147, 151, 203-208, 298-367, 487, 489, 493->501, 556-568, 675-691 src/apiflask/schemas.py 28 3 0 0 89% 144-145, 148 src/apiflask/security.py 33 13 4 0 54% 23-25, 29, 42-45, 75, 116-117, 168-169 src/apiflask/settings.py 64 0 0 0 100% src/apiflask/types.py 36 0 0 0 100% src/apiflask/ui_templates.py 7 0 0 0 100% src/apiflask/validators.py 17 0 0 0 100% -------------------------------------------------------------------------- TOTAL 1077 424 412 79 52% Coverage XML written to file coverage.xml =========================== short test summary info ============================ PASSED tests/test_openapi_headers.py::test_spec_with_dict_headers PASSED tests/test_openapi_headers.py::test_spec_with_empty_headers PASSED tests/test_openapi_headers.py::test_spec_with_schema_headers PASSED tests/test_openapi_headers.py::test_spec_validity_with_headers[3.0.0] PASSED tests/test_openapi_headers.py::test_spec_validity_with_headers[3.1.0] ============================== 5 passed in 0.47s ===============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="5" time="0.480" timestamp="2026-11-14T05:05:18.295100+00:00" hostname="bdb9a3a2319e"><testcase classname="tests.test_openapi_headers" name="test_spec_with_dict_headers" time="0.010" /><testcase classname="tests.test_openapi_headers" name="test_spec_with_empty_headers" time="0.003" /><testcase classname="tests.test_openapi_headers" name="test_spec_with_schema_headers" time="0.003" /><testcase classname="tests.test_openapi_headers" name="test_spec_validity_with_headers[3.0.0]" time="0.014" /><testcase classname="tests.test_openapi_headers" name="test_spec_validity_with_headers[3.1.0]" time="0.018" /></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 apiflask/apiflask.
[ 35.0s] 💭 (1008 chars) "The user is reporting an issue where the `headers` option in the `@output` decorator of
APIFlask generates an invalid Op..."
[ 35.0s] 🔧 run_command (27 lines) python3 - <<'PY'
[ 36.1s] → Validation failed: {'content': {'application/json': {'schema': {'$ref': '#/components/schemas/Foo'}}},
'description': 'S
[ 43.5s] 💭 (311 chars) "The reproduction script confirms the issue. The validation fails because the header object
includes `in` and `name` fiel..."
[ 43.5s] 🔧 run_command grep -rn "schema2parameters" src/apiflask
[ 43.6s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 47.5s] 💭 (84 chars) "It's in `src/apiflask/app.py` at line 1256. Let's examine the code around that line."
[ 47.5s] 📖 read_file (src/apiflask/app.py)
[ 47.5s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' schema: SchemaType | dict,\n
description:…
[ 81.2s] 💭 (2165 chars) "The relevant part is lines 1275-1279:
```python
if headers_schema is not None:
headers = self._ma_p..."
[ 81.2s] 🔧 run_command grep -rn "schema2parameters" src/apiflask
[ 81.2s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 130.6s] 💭 (2239 chars) "It only appears once in the codebase for these responses.
Let's consider if we should use a dictionary comprehension or..."
[ 130.6s] ✏️ edit_file (src/apiflask/app.py)
[ 130.8s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'occurrences': 1, 'strategy': 'exact', 'diff': "---
a/src/apiflask/a…
[ 138.3s] 💭 (54 chars) "Now let's verify the fix with the reproduction script."
[ 138.3s] 🔧 run_command (27 lines) python3 - <<'PY'
[ 138.7s] → Validation passed!
[ 144.4s] 💭 (175 chars) "The reproduction script now passes.
I should also check if there are any other tests that cover this functionality.
I'l..."
[ 144.4s] 🔧 run_command grep -rn "headers=" tests/
[ 144.4s] → tests/test_security.py:96: rv = client.get('/foo', headers={'Authorization': 'Basic Zm9vOmJhcg=='})
[ 147.0s] 💭 (65 chars) "`tests/test_openapi_headers.py` seems relevant. Let's look at it."
[ 147.0s] 📖 read_file (tests/test_openapi_headers.py)
[ 147.0s] ✓ {'status': 'ok', 'filepath': 'tests/test_openapi_headers.py', 'content': "from .schemas import Foo\nfrom
.schemas import…
[ 178.3s] 💭 (1451 chars) "Wait, these tests expect `name` and `in` to be present!
```python
assert rv.json['paths']['/foo']['get']['responses..."
[ 178.3s] 🔧 run_command pytest tests/test_openapi_headers.py -q --tb=short --no-header
[ 179.2s] → error (exit 0):
[ 208.1s] 💭 (1635 chars) "Yes, the existing tests fail as expected.
If I really cannot change the tests, then I cannot satisfy the requirements o..."
[ 208.1s] 📖 read_file (tests/schemas.py)
[ 208.2s] ✓ {'status': 'ok', 'filepath': 'tests/schemas.py', 'content': "from marshmallow import EXCLUDE\nfrom
marshmallow.validate …
[ 217.5s] 💭 (365 chars) "In `ResponseHeader`, `required=True` is set for `x_token`. That's why `required: True`
appears in the tests.
Now, let's..."
[ 217.5s] 🔧 run_command grep -rn "schema2parameters" src/apiflask
[ 217.6s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 288.7s] 💭 (155 chars) "It seems it's only used in that one place for headers.
Wait, let's check if `schema2parameters` is used for other thing..."
[ 288.7s] 🔧 run_command grep -rn "schema2parameters" src/apiflask/app.py
[ 288.8s] → 1256: headers = self._ma_plugin.converter.schema2parameters( # type: ignore
[ 291.4s] 💭 (105 chars) "Actually, I should search for `schema2parameters` in the whole `src/apiflask` folder again,
just in case."
[ 291.4s] 🔧 run_command grep -rn "schema2parameters" src/apiflask
[ 291.5s] → src/apiflask/app.py:1256: headers = self._ma_plugin.converter.schema2parameters( # type:
ignore
[ 298.1s] 💭 (139 chars) "It's only used here.
Wait, let's look at `src/apiflask/app.py` around line 1256 again to see if it's used for anything ..."
[ 298.1s] 📖 read_file (src/apiflask/app.py)
[ 298.2s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' schema: SchemaType | dict,\n
description:…
[ 331.0s] 💭 (1747 chars) "Yes, it's only used for `headers_schema`.
One more thing: what if `headers` is a dictionary instead of a schema?
Wait, ..."
[ 331.0s] 📖 read_file (src/apiflask/app.py)
[ 331.1s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' """\n\n def
decorator(f):\n @w…
[ 333.1s] 💭 (47 chars) "I need to find where `_add_response` is called."
[ 333.1s] 🔧 run_command grep -rn "_add_response(" src/apiflask/app.py
[ 333.1s] → 993: self._add_response(
[ 335.8s] 💭 (32 chars) "Let's look at line 993 and 1008."
[ 335.8s] 📖 read_file (src/apiflask/app.py)
[ 335.9s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': " # responses\n
if view_fun…
[ 341.9s] 💭 (266 chars) "Okay, so `headers = view_func._spec.get('response')['headers']` is passed as
`headers_schema`.
Now I'm confident in the..."
[ 341.9s] 🔧 run_command git diff
[ 342.0s] → diff --git a/src/apiflask/app.py b/src/apiflask/app.py
[ 363.0s] 💭 (996 chars) "The diff looks correct.
One small thing: I noticed there's a `headers_schema` argument in `_add_response`. Is it possib..."
[ 363.0s] 🔧 run_command python3 /tmp/repro.py
[ 363.1s] → error (exit 0):
[ 386.6s] 💭 (111 chars) "Ah, I didn't actually write the reproduction script to `/tmp/repro.py` in this session. I
should run it inline."
[ 386.6s] 🔧 run_command (41 lines) python3 - <<'PY'
[ 386.9s] → error (exit 0):
[ 391.1s] 💭 (220 chars) "Wait, `AttributeError: 'APIFlask' object has no attribute 'openapi_spec'`.
Let me check how to get the OpenAPI spec fro..."
[ 391.1s] 🔧 run_command grep -rn "openapi_spec" src/apiflask
[ 391.2s] → error (exit 0):
[ 394.8s] 💭 (59 chars) "Strange. Let me search for `spec` in `src/apiflask/app.py`."
[ 394.8s] 🔧 run_command grep -rn "spec" src/apiflask/app.py | head -n 20
[ 394.8s] → 3:import inspect
[ 398.8s] 💭 (79 chars) "I don't see `openapi_spec` property. Let me look for where the spec is created."
[ 398.8s] 🔧 run_command grep -rn "APISpec(" src/apiflask/app.py
[ 398.8s] → 813: spec: APISpec = APISpec(
[ 401.0s] 💭 (28 chars) "Let's see where that's used."
[ 401.0s] 📖 read_file (src/apiflask/app.py)
[ 401.1s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': " kwargs['servers'] =
self.servers\n el…
[ 404.6s] 💭 (147 chars) "It seems `spec` is a local variable in some method. Let's see the method name.
The code I read was at line 813. Let's se..."
[ 404.6s] 📖 read_file (src/apiflask/app.py)
[ 404.7s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': '\n *Version changed: 1.2.1*\n\n
- Set defa…
[ 410.1s] 💭 (60 chars) "Wait, I missed the method definition. Let's go further back."
[ 410.1s] 📖 read_file (src/apiflask/app.py)
[ 410.1s] ✓ {'status': 'ok', 'filepath': 'src/apiflask/app.py', 'content': ' if hasattr(f,
\'_spec\'): # pragma: no …
Native result row
{
"agent_error": "Agent exceeded session timeout (7.5 min)",
"duration_seconds": 465.21,
"error": "Agent exceeded session timeout (7.5 min)",
"grade": {
"collected_tests": 5,
"competition_junit_ok": true,
"error": null,
"required_issues_count": 0,
"resolved": true,
"status_counts": {
"PASSED": 5
},
"strict_clean_patch": true,
"test_exit_code": 0
},
"instance_id": "apiflask__apiflask-632",
"pass_idx": 0,
"patch_chars": 574,
"phase1_seconds": 462.7,
"repo": "apiflask/apiflask",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/apiflask__apiflask-632__p0__r6.jsonl",
"resolved": true,
"rollout_idx": 6,
"run_key": "apiflask__apiflask-632__p0__r6",
"strict_clean_patch": true,
"tool_calls": 26,
"total_llm_calls": 26,
"trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_apiflask__apiflask-632__p0__r6.json"
}