Files
AutoGPT/autogpt_platform/backend/backend/copilot/tools/helpers_test.py
Zamil Majdy a083493aa2 fix(backend/copilot): auto-parse structured data and robust type coercion (#12390)
The copilot's `@@agptfile:` reference system always produces strings
when expanding
file references. This breaks blocks that expect structured types — e.g.
`GoogleSheetsWriteBlock` expects `values: list[list[str]]`, but receives
a raw CSV
string instead. Additionally, the copilot's input coercion was
duplicating logic from
the executor instead of reusing the shared `convert()` utility, and the
coercion had
no type-aware gating — it would always call `convert()`, which could
incorrectly
transform values that already matched the expected type (e.g.
stringifying a valid
`list[str]` in a `str | list[str]` union).

### Changes 🏗️

**Structured data parsing for `@@agptfile:` bare references:**
- When an entire tool argument value is a bare `@@agptfile:` reference,
the resolved
content is now auto-parsed: JSON → native types, CSV/TSV →
`list[list[str]]`
- Embedded references within larger strings still do plain text
substitution
- Updated copilot system prompt to document the structured data
capability

**Shared type coercion utility (`coerce_inputs_to_schema`):**
- Extracted `coerce_inputs_to_schema()` into `backend/util/type.py` —
shared by both
  the executor's `validate_exec()` and the copilot's `execute_block()`
- Uses Pydantic `model_fields` (not `__annotations__`) to include
inherited fields
- Added `_value_satisfies_type()` gate: only calls `convert()` when the
value doesn't
already match the target type, including recursive inner-element
checking for generics

**`_value_satisfies_type` — recursive type checking:**
- Handles `Any`, `Optional`, `Union`, `list[T]`, `dict[K,V]`, `set[T]`,
`tuple[T, ...]`,
  heterogeneous `tuple[str, int, bool]`, bare generics, nested generics
- Guards against non-runtime origins (`Literal`, etc.) to prevent
`isinstance()` crashes
- Returns `False` (not `True`) for unhandled generic origins as a safe
fallback

**Test coverage:**
- 51 new tests for `_value_satisfies_type` and `coerce_inputs_to_schema`
in `type_test.py`
- 8 new tests for `execute_block` type coercion in `helpers_test.py`

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] All existing file_ref tests pass
- [x] All new type_test.py tests pass (51 tests covering
_value_satisfies_type and coerce_inputs_to_schema)
- [x] All new helpers_test.py tests pass (8 tests covering execute_block
coercion)
  - [x] `poetry run format` passes clean
  - [x] `poetry run lint` passes clean
  - [x] Pyright type checking passes
2026-03-12 19:27:41 +00:00

334 lines
10 KiB
Python

"""Tests for execute_block type coercion in helpers.py.
Verifies that execute_block() coerces string input values to match the block's
expected input types, mirroring the executor's validate_exec() logic.
This is critical for @@agptfile: expansion, where file content is always a string
but the block may expect structured types (e.g. list[list[str]]).
"""
from typing import Any
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.copilot.tools.helpers import execute_block
from backend.copilot.tools.models import BlockOutputResponse
def _make_block_schema(annotations: dict[str, Any]) -> MagicMock:
"""Create a mock input_schema with model_fields matching the given annotations."""
schema = MagicMock()
# coerce_inputs_to_schema uses model_fields (Pydantic v2 API)
model_fields = {}
for name, ann in annotations.items():
field = MagicMock()
field.annotation = ann
model_fields[name] = field
schema.model_fields = model_fields
return schema
def _make_block(
block_id: str,
name: str,
annotations: dict[str, Any],
outputs: dict[str, list[Any]] | None = None,
) -> MagicMock:
"""Create a mock block with typed annotations and a simple execute method."""
block = MagicMock()
block.id = block_id
block.name = name
block.input_schema = _make_block_schema(annotations)
captured_inputs: dict[str, Any] = {}
async def mock_execute(input_data: dict, **_kwargs: Any):
captured_inputs.update(input_data)
for output_name, values in (outputs or {"result": ["ok"]}).items():
for v in values:
yield output_name, v
block.execute = mock_execute
block._captured_inputs = captured_inputs
return block
_TEST_SESSION_ID = "test-session-coerce"
_TEST_USER_ID = "test-user-coerce"
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_json_string_to_nested_list():
"""JSON string → list[list[str]] (Google Sheets CSV import case)."""
block = _make_block(
"sheets-write",
"Google Sheets Write",
{"values": list[list[str]], "spreadsheet_id": str},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="sheets-write",
input_data={
"values": '[["Name","Score"],["Alice","90"],["Bob","85"]]',
"spreadsheet_id": "abc123",
},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-1",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
assert response.success is True
# Verify the input was coerced from string to list[list[str]]
assert block._captured_inputs["values"] == [
["Name", "Score"],
["Alice", "90"],
["Bob", "85"],
]
assert isinstance(block._captured_inputs["values"], list)
assert isinstance(block._captured_inputs["values"][0], list)
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_json_string_to_list():
"""JSON string → list[str]."""
block = _make_block(
"list-block",
"List Block",
{"items": list[str]},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="list-block",
input_data={"items": '["a","b","c"]'},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-2",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
assert block._captured_inputs["items"] == ["a", "b", "c"]
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_json_string_to_dict():
"""JSON string → dict[str, str]."""
block = _make_block(
"dict-block",
"Dict Block",
{"config": dict[str, str]},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="dict-block",
input_data={"config": '{"key": "value", "foo": "bar"}'},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-3",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
assert block._captured_inputs["config"] == {"key": "value", "foo": "bar"}
@pytest.mark.asyncio(loop_scope="session")
async def test_no_coercion_when_type_matches():
"""Already-correct types pass through without coercion."""
block = _make_block(
"pass-through",
"Pass Through",
{"values": list[list[str]], "name": str},
)
original_values = [["a", "b"], ["c", "d"]]
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="pass-through",
input_data={"values": original_values, "name": "test"},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-4",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
assert block._captured_inputs["values"] == original_values
assert block._captured_inputs["name"] == "test"
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_string_to_int():
"""String number → int."""
block = _make_block(
"int-block",
"Int Block",
{"count": int},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="int-block",
input_data={"count": "42"},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-5",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
assert block._captured_inputs["count"] == 42
assert isinstance(block._captured_inputs["count"], int)
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_skips_none_values():
"""None values are not coerced (they may be optional fields)."""
block = _make_block(
"optional-block",
"Optional Block",
{"data": list[str], "label": str},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="optional-block",
input_data={"label": "test"},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-6",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
# 'data' was not provided, so it should not appear in captured inputs
assert "data" not in block._captured_inputs
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_union_type_preserves_valid_member():
"""Union-typed fields should not be coerced when the value matches a member."""
block = _make_block(
"union-block",
"Union Block",
{"content": str | list[str]},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="union-block",
input_data={"content": ["a", "b"]},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-7",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
# list[str] should NOT be stringified to '["a", "b"]'
assert block._captured_inputs["content"] == ["a", "b"]
assert isinstance(block._captured_inputs["content"], list)
@pytest.mark.asyncio(loop_scope="session")
async def test_coerce_inner_elements_of_generic():
"""Inner elements of generic containers are recursively coerced."""
block = _make_block(
"inner-coerce",
"Inner Coerce",
{"values": list[str]},
)
mock_workspace_db = MagicMock()
mock_workspace_db.get_or_create_workspace = AsyncMock(
return_value=MagicMock(id="ws-1")
)
with patch(
"backend.copilot.tools.helpers.workspace_db",
return_value=mock_workspace_db,
):
response = await execute_block(
block=block,
block_id="inner-coerce",
# Inner elements are ints, but target is list[str]
input_data={"values": [1, 2, 3]},
user_id=_TEST_USER_ID,
session_id=_TEST_SESSION_ID,
node_exec_id="exec-8",
matched_credentials={},
)
assert isinstance(response, BlockOutputResponse)
# Inner elements should be coerced from int to str
assert block._captured_inputs["values"] == ["1", "2", "3"]
assert all(isinstance(v, str) for v in block._captured_inputs["values"])