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import sys
from pathlib import Path
from typing import Any
from unittest.mock import AsyncMock, patch
import pytest
from fastapi import HTTPException
from maris_core.code.generate_code import (
CodeRequest,
FixCodeRequest,
ProjectFile,
_detect_stack,
_extract_code_block,
_extract_project_files,
fix_code,
generate_code,
)
def test_extract_code_block_with_fences() -> None:
text = "Šeit ir kods:\n```\nprint('hello')\n```\nPaskaidrojums."
code, explanation = _extract_code_block(text, "Python")
assert "print" in code
assert "Paskaidrojums" in explanation
def test_extract_code_block_no_fences() -> None:
text = "print('hello world')"
code, explanation = _extract_code_block(text, "Python")
assert "print" in code
def test_extract_project_files_from_structured_json_payload() -> None:
text = """```json
{
"explanation": "Pilns kalkulatora projekts.",
"entrypoint": "index.html",
"files": [
{"path": "index.html", "content": "<html></html>"},
{"path": "assets/app.js", "content": "console.log('ok');"}
]
}
```"""
files, entrypoint, explanation = _extract_project_files(text, language="HTML/CSS/JavaScript")
assert files == [
ProjectFile(path="index.html", content="<html></html>", absolute_path=None),
ProjectFile(path="assets/app.js", content="console.log('ok');", absolute_path=None),
]
assert entrypoint == "index.html"
assert explanation == "Pilns kalkulatora projekts."
def test_detect_stack_prefers_nextjs_from_prompt() -> None:
detected = _detect_stack(
"Uztaisi Next.js dashboard ar app router un TypeScript",
"Python",
None,
)
assert detected == "nextjs"
@pytest.mark.asyncio
async def test_generate_code_requires_text_model() -> None:
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=None),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
req = CodeRequest(prompt="Hello world skripts", language="Python")
with pytest.raises(HTTPException) as exc_info:
await generate_code(req)
assert exc_info.value.status_code == 503
@pytest.mark.asyncio
async def test_generate_code_uses_requested_hf_fallback_model_when_text_runtime_is_unavailable() -> (
None
):
class FakeClient:
def chat_completion(
self,
*,
model: str,
messages: list[dict[str, str]],
max_tokens: int,
temperature: float,
) -> dict[str, Any]:
del messages, max_tokens, temperature
assert model == "Qwen/Qwen2.5-Coder-32B-Instruct"
return {
"choices": [
{
"message": {
"content": "```python\ndef normalize_email(value: str) -> str:\n return value.strip().lower()\n```"
}
}
]
}
fake_hf_module = type("FakeHFModule", (), {"InferenceClient": object})()
fake_hf_utils = type("FakeHFUtils", (), {"HfHubHTTPError": RuntimeError})()
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=None),
patch("maris_core.text.generate.create_hf_inference_client", return_value=FakeClient()),
patch.dict(
sys.modules, {"huggingface_hub": fake_hf_module, "huggingface_hub.utils": fake_hf_utils}
),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
response = await generate_code(
CodeRequest(
prompt="Uzraksti Python helperi normalize_email",
language="Python",
fallback_model="Qwen/Qwen2.5-Coder-32B-Instruct",
)
)
assert "normalize_email" in response.code
@pytest.mark.asyncio
async def test_fix_code_delegates() -> None:
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=None),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
req = FixCodeRequest(code="prit('hello')", error_message="NameError", language="Python")
with pytest.raises(HTTPException) as exc_info:
await fix_code(req)
assert exc_info.value.status_code == 503
@pytest.mark.asyncio
async def test_generate_code_passes_large_max_new_tokens_to_pipeline() -> None:
captured_max_new_tokens: int | None = None
def fake_pipeline(
messages: list[dict[str, Any]], *, max_new_tokens: int, temperature: float
) -> list[dict[str, list[dict[str, str]]]]:
nonlocal captured_max_new_tokens
del messages, temperature
captured_max_new_tokens = max_new_tokens
return [{"generated_text": [{"role": "assistant", "content": "print('hello world')"}]}]
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=fake_pipeline),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
response = await generate_code(
CodeRequest(
prompt="Uzraksti pilnu Python servisu",
language="Python",
max_new_tokens=20_000,
)
)
assert captured_max_new_tokens == 20_000
assert response.code == "print('hello world')"
@pytest.mark.asyncio
async def test_generate_code_uses_stronger_engineering_system_prompt() -> None:
captured_messages: list[dict[str, Any]] = []
def fake_pipeline(
messages: list[dict[str, Any]], *, max_new_tokens: int, temperature: float
) -> list[dict[str, list[dict[str, str]]]]:
nonlocal captured_messages
del max_new_tokens, temperature
captured_messages = messages
return [{"generated_text": [{"role": "assistant", "content": "print('hello world')"}]}]
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=fake_pipeline),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
await generate_code(CodeRequest(prompt="Uzraksti Python skriptu", language="Python"))
assert "production-ready" in captured_messages[0]["content"]
assert "edge cases" in captured_messages[0]["content"]
assert "izpildāmu artefaktu" in captured_messages[0]["content"]
@pytest.mark.asyncio
async def test_generate_code_materializes_workspace_artifacts_from_structured_payload(
tmp_path,
) -> None:
def fake_pipeline(
messages: list[dict[str, Any]], *, max_new_tokens: int, temperature: float
) -> list[dict[str, list[dict[str, str]]]]:
del messages, max_new_tokens, temperature
return [
{
"generated_text": [
{
"role": "assistant",
"content": """```json
{
"explanation": "Pilns kalkulatora projekts.",
"entrypoint": "index.html",
"files": [
{"path": "index.html", "content": "<!doctype html><title>Kalkulators</title>"},
{"path": "assets/app.js", "content": "console.log('calc');"}
]
}
```""",
}
]
}
]
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=fake_pipeline),
patch("maris_core.code.generate_code.WORKSPACE_ARTIFACT_ROOT", tmp_path),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
response = await generate_code(
CodeRequest(prompt="Uzprogrammē kalkulatora projektu", language="HTML/CSS/JavaScript")
)
bundle_path = Path(response.bundle_path or "")
assert response.entrypoint == "index.html"
assert response.workspace_artifact_dir is not None
assert response.detected_stack == "HTML/CSS/JavaScript"
assert Path(response.workspace_artifact_dir).exists()
assert [file.path for file in response.files] == ["index.html", "assets/app.js"]
assert response.files[0].absolute_path is not None
assert bundle_path.exists()
assert (
Path(response.files[0].absolute_path or "")
.read_text(encoding="utf-8")
.startswith("<!doctype html>")
)
@pytest.mark.asyncio
async def test_generate_code_auto_scaffolds_nextjs_project_from_single_code_block(tmp_path) -> None:
def fake_pipeline(
messages: list[dict[str, Any]], *, max_new_tokens: int, temperature: float
) -> list[dict[str, list[dict[str, str]]]]:
del messages, max_new_tokens, temperature
return [
{
"generated_text": [
{
"role": "assistant",
"content": """```tsx
export default function HomePage() {
return <main>Analytics dashboard</main>;
}
```""",
}
]
}
]
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=fake_pipeline),
patch("maris_core.code.generate_code.WORKSPACE_ARTIFACT_ROOT", tmp_path),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
response = await generate_code(
CodeRequest(
prompt="Uztaisi Next.js app router dashboard ar TypeScript",
language="Python",
)
)
paths = [file.path for file in response.files]
assert response.detected_stack == "Next.js (TypeScript)"
assert response.language == "Next.js (TypeScript)"
assert response.entrypoint == "app/page.tsx"
assert "app/page.tsx" in paths
assert "package.json" in paths
assert Path(response.bundle_path or "").exists()
@pytest.mark.asyncio
async def test_generate_code_uses_repo_aware_entrypoint_for_existing_project(tmp_path) -> None:
project_root = tmp_path / "existing-project"
(project_root / "src").mkdir(parents=True)
(project_root / "pyproject.toml").write_text(
"[project]\nname = 'demo'\nversion = '0.1.0'\n",
encoding="utf-8",
)
(project_root / "src/main.py").write_text(
"def main() -> None:\n print('old')\n", encoding="utf-8"
)
captured_messages: list[dict[str, Any]] = []
def fake_pipeline(
messages: list[dict[str, Any]], *, max_new_tokens: int, temperature: float
) -> list[dict[str, list[dict[str, str]]]]:
nonlocal captured_messages
del max_new_tokens, temperature
captured_messages = messages
return [
{
"generated_text": [
{
"role": "assistant",
"content": """```python
def main() -> None:
print('updated')
```""",
}
]
}
]
with (
patch("maris_core.code.generate_code.get_pipeline", return_value=fake_pipeline),
patch("maris_core.code.generate_code.WORKSPACE_ARTIFACT_ROOT", tmp_path / "artifacts"),
patch(
"maris_core.utils.hf_integration.HFIntegration.save_generation",
new_callable=AsyncMock,
),
):
response = await generate_code(
CodeRequest(
prompt="Salabo esošo servisu un atjauno starta loģiku",
language="Python",
repo_path=str(project_root),
)
)
assert response.repo_path == str(project_root)
assert response.detected_stack == "Python"
assert response.entrypoint == "src/main.py"
assert response.files[0].path == "src/main.py"
assert "Repo sakne" in captured_messages[1]["content"]
assert "src/main.py" in captured_messages[1]["content"]
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