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from __future__ import annotations
import json
import logging
import re
import zipfile
from pathlib import Path
from uuid import uuid4
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field
from maris_core.text.generate import (
DEFAULT_MAX_NEW_TOKENS,
call_generation_pipeline,
complete_with_hf_fallback,
get_pipeline,
)
logger = logging.getLogger(__name__)
router = APIRouter()
WORKSPACE_ARTIFACT_ROOT = Path("/tmp/maris-ai/generated-projects")
DEFAULT_REPO_ROOT = Path(__file__).resolve().parents[3]
_MAX_REPO_CONTEXT_FILES = 6
_MAX_REPO_CONTEXT_CHARS = 1800
_FENCED_BLOCK_PATTERN = re.compile(
r"```(?P<label>[^\n`]*)\n(?P<body>.*?)```",
flags=re.DOTALL,
)
_EDIT_INTENT_PATTERN = re.compile(
r"\b(edit|modify|update|refactor|fix|patch|rewrite|change|cleanup|labo|salabo|rediģē|pārstrādā|uzlabo)\b",
flags=re.IGNORECASE,
)
_PATH_HINT_PATTERN = re.compile(r"(?P<path>(?:/|\./|\.\./)[^\s,;:()\[\]{}<>]+)")
_REPO_RELATIVE_HINT_PATTERN = re.compile(
r"(?P<path>(?:[A-Za-z0-9_.-]+/)+[A-Za-z0-9_.-]+\.[A-Za-z0-9_.-]+)"
)
_STACK_KEYWORDS: dict[str, tuple[str, ...]] = {
"nextjs": ("next.js", "nextjs", " app router", "next app"),
"react": ("react", "vite", "tsx component"),
"rust": ("rust", "cargo", "actix", "axum"),
"python": ("python", "fastapi", "flask", "django", "pytest"),
"web": ("html", "css", "landing page", "calculator", "kalkulator", "web app", "web-app"),
}
_STACK_DISPLAY_NAMES = {
"nextjs": "Next.js (TypeScript)",
"react": "React (TypeScript)",
"rust": "Rust",
"python": "Python",
"web": "HTML/CSS/JavaScript",
}
_STACK_ENTRYPOINTS = {
"nextjs": "app/page.tsx",
"react": "src/App.tsx",
"rust": "src/main.rs",
"python": "src/main.py",
"web": "index.html",
}
class CodeRequest(BaseModel):
prompt: str
language: str = "Python"
context: str = ""
repo_path: str | None = None
fallback_model: str | None = None
max_new_tokens: int = Field(default=DEFAULT_MAX_NEW_TOKENS, ge=32)
class FixCodeRequest(BaseModel):
code: str
error_message: str = ""
language: str = "Python"
class ProjectFile(BaseModel):
path: str
content: str
absolute_path: str | None = None
class CodeResponse(BaseModel):
code: str
explanation: str
language: str
detected_stack: str
files: list[ProjectFile] = Field(default_factory=list)
workspace_artifact_dir: str | None = None
bundle_path: str | None = None
entrypoint: str | None = None
repo_path: str | None = None
class RepoContext(BaseModel):
repo_path: str
files: list[str] = Field(default_factory=list)
def _extract_code_block(text: str, language: str) -> tuple[str, str]:
"""Izvelk koda bloku un paskaidrojumu no LLM atbildes."""
del language
lines = text.split("\n")
code_lines: list[str] = []
explanation_lines: list[str] = []
in_code = False
for line in lines:
if line.strip().startswith("```"):
in_code = not in_code
continue
if in_code:
code_lines.append(line)
else:
explanation_lines.append(line)
code = "\n".join(code_lines).strip()
explanation = "\n".join(explanation_lines).strip()
if not code:
code = text.strip()
explanation = ""
return code, explanation
def _extract_structured_project_payload(text: str) -> dict[str, object] | None:
candidates: list[str] = []
stripped = text.strip()
if stripped.startswith("{") and stripped.endswith("}"):
candidates.append(stripped)
for match in _FENCED_BLOCK_PATTERN.finditer(text):
label = match.group("label").strip().lower()
if "json" in label:
candidates.append(match.group("body").strip())
for candidate in candidates:
try:
payload = json.loads(candidate)
except json.JSONDecodeError:
continue
if isinstance(payload, dict) and isinstance(payload.get("files"), list):
return payload
return None
def _sanitize_relative_path(path: str) -> str:
candidate = Path(path.strip().replace("\\", "/"))
cleaned_parts = [part for part in candidate.parts if part not in {"", ".", ".."}]
if not cleaned_parts:
return "main.txt"
return Path(*cleaned_parts).as_posix()
def _slugify_prompt(prompt: str) -> str:
tokens = re.findall(r"[a-z0-9]+", prompt.lower())
return "-".join(tokens[:6]) or "generated-project"
def _looks_like_repo_edit_request(prompt: str) -> bool:
return bool(_EDIT_INTENT_PATTERN.search(prompt))
def _extract_repo_path_from_prompt(prompt: str) -> Path | None:
for match in _PATH_HINT_PATTERN.finditer(prompt):
candidate = Path(match.group("path")).expanduser()
try:
resolved = candidate.resolve()
except OSError:
continue
if resolved.is_file():
resolved = resolved.parent
if resolved.is_dir():
return resolved
return None
def _resolve_repo_path(raw_repo_path: str | None, prompt: str) -> Path | None:
if raw_repo_path:
candidate = Path(raw_repo_path).expanduser()
try:
resolved = candidate.resolve()
except OSError:
resolved = candidate
if resolved.is_file():
resolved = resolved.parent
if resolved.is_dir():
return resolved
extracted = _extract_repo_path_from_prompt(prompt)
if extracted is not None:
return extracted
if _looks_like_repo_edit_request(prompt) and DEFAULT_REPO_ROOT.exists():
return DEFAULT_REPO_ROOT
return None
def _read_json(path: Path) -> dict[str, object]:
try:
return json.loads(path.read_text(encoding="utf-8"))
except (OSError, json.JSONDecodeError):
return {}
def _detect_stack(prompt: str, requested_language: str, repo_path: Path | None) -> str:
if repo_path is not None:
package_json = _read_json(repo_path / "package.json")
dependencies = {
**(
{str(k): v for k, v in package_json.get("dependencies", {}).items()}
if isinstance(package_json.get("dependencies"), dict)
else {}
),
**(
{str(k): v for k, v in package_json.get("devDependencies", {}).items()}
if isinstance(package_json.get("devDependencies"), dict)
else {}
),
}
if (
(repo_path / "next.config.js").exists()
or (repo_path / "next.config.mjs").exists()
or "next" in dependencies
):
return "nextjs"
if (
"react" in dependencies
or (repo_path / "src/App.tsx").exists()
or (repo_path / "src/main.tsx").exists()
):
return "react"
if (repo_path / "Cargo.toml").exists() or (repo_path / "src/main.rs").exists():
return "rust"
if (
(repo_path / "pyproject.toml").exists()
or (repo_path / "requirements.txt").exists()
or (repo_path / "src/main.py").exists()
):
return "python"
normalized_prompt = f" {prompt.lower()} "
for stack, keywords in _STACK_KEYWORDS.items():
if any(keyword in normalized_prompt for keyword in keywords):
return stack
normalized_language = requested_language.strip().lower()
if "next" in normalized_language:
return "nextjs"
if "html/css/javascript" in normalized_language:
return "web"
if "react" in normalized_language or "typescript" in normalized_language:
return "react"
if "javascript" in normalized_language:
return "web"
if "rust" in normalized_language:
return "rust"
return "python"
def _display_language_for_stack(requested_language: str, detected_stack: str) -> str:
if requested_language.strip() and requested_language.strip().lower() != "python":
if detected_stack in {"nextjs", "react"}:
return _STACK_DISPLAY_NAMES[detected_stack]
if detected_stack == "rust" and "rust" in requested_language.strip().lower():
return "Rust"
if detected_stack == "python" and "python" in requested_language.strip().lower():
return "Python"
return _STACK_DISPLAY_NAMES.get(detected_stack, requested_language)
def _default_entrypoint_for_stack(detected_stack: str, repo_path: Path | None) -> str:
if repo_path is not None:
candidates = {
"nextjs": ["app/page.tsx", "pages/index.tsx", "src/app/page.tsx"],
"react": ["src/App.tsx", "src/main.tsx", "src/App.jsx"],
"rust": ["src/main.rs"],
"python": ["src/main.py", "main.py", "app/main.py"],
}.get(detected_stack, [])
for candidate in candidates:
if (repo_path / candidate).exists():
return candidate
return _STACK_ENTRYPOINTS.get(detected_stack, "main.py")
def _stack_scaffold_templates(detected_stack: str) -> dict[str, str]:
if detected_stack == "nextjs":
package_json = {
"name": "maris-next-app",
"private": True,
"scripts": {"dev": "next dev", "build": "next build", "start": "next start"},
"dependencies": {"next": "15.0.0", "react": "18.3.1", "react-dom": "18.3.1"},
"devDependencies": {
"typescript": "5.6.3",
"@types/react": "18.3.3",
"@types/node": "22.7.4",
},
}
return {
"package.json": json.dumps(package_json, ensure_ascii=False, indent=2) + "\n",
"tsconfig.json": json.dumps(
{
"compilerOptions": {
"target": "ES2022",
"lib": ["dom", "dom.iterable", "es2022"],
"allowJs": False,
"skipLibCheck": True,
"strict": True,
"noEmit": True,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": True,
"isolatedModules": True,
"jsx": "preserve",
"incremental": True,
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx"],
"exclude": ["node_modules"],
},
ensure_ascii=False,
indent=2,
)
+ "\n",
"next-env.d.ts": '/// <reference types="next" />\n/// <reference types="next/image-types/global" />\n',
"next.config.mjs": "/** @type {import('next').NextConfig} */\nconst nextConfig = {};\n\nexport default nextConfig;\n",
"app/layout.tsx": 'export default function RootLayout({ children }: { children: React.ReactNode }) {\n return (\n <html lang="en">\n <body>{children}</body>\n </html>\n );\n}\n',
"app/page.tsx": "export default function HomePage() {\n return <main>Maris Next.js app</main>;\n}\n",
}
if detected_stack == "react":
package_json = {
"name": "maris-react-app",
"private": True,
"type": "module",
"scripts": {"dev": "vite", "build": "vite build", "preview": "vite preview"},
"dependencies": {"react": "18.3.1", "react-dom": "18.3.1"},
"devDependencies": {
"typescript": "5.6.3",
"vite": "5.4.8",
"@vitejs/plugin-react": "4.3.1",
"@types/react": "18.3.3",
"@types/react-dom": "18.3.0",
},
}
return {
"package.json": json.dumps(package_json, ensure_ascii=False, indent=2) + "\n",
"tsconfig.json": json.dumps(
{
"compilerOptions": {
"target": "ES2020",
"useDefineForClassFields": True,
"lib": ["DOM", "DOM.Iterable", "ES2020"],
"allowJs": False,
"skipLibCheck": True,
"esModuleInterop": True,
"allowSyntheticDefaultImports": True,
"strict": True,
"module": "ESNext",
"moduleResolution": "bundler",
"resolveJsonModule": True,
"isolatedModules": True,
"noEmit": True,
"jsx": "react-jsx",
},
"include": ["src"],
},
ensure_ascii=False,
indent=2,
)
+ "\n",
"vite.config.ts": "import { defineConfig } from 'vite';\nimport react from '@vitejs/plugin-react';\n\nexport default defineConfig({\n plugins: [react()],\n});\n",
"index.html": '<!doctype html>\n<html lang="en">\n <head>\n <meta charset="UTF-8" />\n <meta name="viewport" content="width=device-width, initial-scale=1.0" />\n <title>Maris React App</title>\n </head>\n <body>\n <div id="root"></div>\n <script type="module" src="/src/main.tsx"></script>\n </body>\n</html>\n',
"src/main.tsx": "import React from 'react';\nimport ReactDOM from 'react-dom/client';\nimport App from './App';\n\nReactDOM.createRoot(document.getElementById('root')!).render(\n <React.StrictMode>\n <App />\n </React.StrictMode>,\n);\n",
"src/App.tsx": "export default function App() {\n return <main>Maris React app</main>;\n}\n",
}
if detected_stack == "rust":
return {
"Cargo.toml": '[package]\nname = "maris-rust-app"\nversion = "0.1.0"\nedition = "2021"\n\n[dependencies]\n',
"src/main.rs": 'fn main() {\n println!("Hello from Maris Rust app");\n}\n',
}
if detected_stack == "web":
return {
"index.html": '<!doctype html>\n<html lang="en">\n <head>\n <meta charset="UTF-8" />\n <meta name="viewport" content="width=device-width, initial-scale=1.0" />\n <title>Maris Web App</title>\n </head>\n <body>\n <main>Maris web artifact</main>\n </body>\n</html>\n',
}
return {
"pyproject.toml": '[project]\nname = "maris-python-app"\nversion = "0.1.0"\ndescription = "Generated by Maris AI"\nrequires-python = ">=3.11"\n\n[project.scripts]\nmaris-app = "src.main:main"\n',
"src/main.py": "def main() -> None:\n print('Hello from Maris Python app')\n\n\nif __name__ == '__main__':\n main()\n",
}
def _normalize_files(files: list[ProjectFile]) -> list[ProjectFile]:
normalized: dict[str, ProjectFile] = {}
for file in files:
path = _sanitize_relative_path(file.path)
normalized[path] = ProjectFile(
path=path, content=file.content, absolute_path=file.absolute_path
)
return list(normalized.values())
def _ensure_stack_scaffold(
files: list[ProjectFile],
*,
detected_stack: str,
entrypoint: str | None,
repo_path: Path | None,
) -> tuple[list[ProjectFile], str]:
normalized_files = _normalize_files(files)
resolved_entrypoint = _sanitize_relative_path(
entrypoint or _default_entrypoint_for_stack(detected_stack, repo_path)
)
if repo_path is not None:
if len(normalized_files) == 1:
only_file = normalized_files[0]
if only_file.path != resolved_entrypoint:
normalized_files[0] = ProjectFile(
path=resolved_entrypoint, content=only_file.content
)
return normalized_files, resolved_entrypoint
templates = _stack_scaffold_templates(detected_stack)
file_map = {file.path: file for file in normalized_files}
fallback_paths = {
"main.py",
"src/main.py",
"src/main.rs",
"src/App.tsx",
"app/page.tsx",
"index.html",
}
if len(file_map) == 1:
only_path, only_file = next(iter(file_map.items()))
if only_path in fallback_paths and only_path != resolved_entrypoint:
file_map.pop(only_path)
file_map[resolved_entrypoint] = ProjectFile(
path=resolved_entrypoint, content=only_file.content
)
for path, content in templates.items():
if path not in file_map:
file_map[path] = ProjectFile(path=path, content=content)
ordered_paths = list(templates.keys()) + [path for path in file_map if path not in templates]
ordered_files = [file_map[path] for path in ordered_paths]
return ordered_files, resolved_entrypoint
def _extract_project_files(
text: str,
*,
language: str,
fallback_entrypoint: str = "main.py",
) -> tuple[list[ProjectFile], str | None, str]:
payload = _extract_structured_project_payload(text)
if payload is not None:
files_payload = payload.get("files")
files: list[ProjectFile] = []
if isinstance(files_payload, list):
for item in files_payload:
if not isinstance(item, dict):
continue
raw_path = str(item.get("path", "")).strip()
raw_content = str(item.get("content", ""))
if not raw_path or not raw_content.strip():
continue
files.append(
ProjectFile(
path=_sanitize_relative_path(raw_path),
content=raw_content,
)
)
entrypoint = payload.get("entrypoint") or payload.get("primary_file")
explanation = str(payload.get("explanation") or payload.get("summary") or "").strip()
return (
files,
(
_sanitize_relative_path(str(entrypoint))
if isinstance(entrypoint, str) and entrypoint
else None
),
explanation,
)
code, explanation = _extract_code_block(text, language)
if not code.strip():
return [], None, explanation
return [ProjectFile(path=fallback_entrypoint, content=code)], fallback_entrypoint, explanation
def _select_primary_code(files: list[ProjectFile], entrypoint: str | None) -> str:
if entrypoint:
for file in files:
if file.path == entrypoint:
return file.content
return files[0].content if files else ""
def _extract_repo_relative_hints(prompt: str, repo_path: Path) -> list[str]:
hinted_paths: list[str] = []
repo_root = repo_path.resolve()
for pattern in (_PATH_HINT_PATTERN, _REPO_RELATIVE_HINT_PATTERN):
for match in pattern.finditer(prompt):
raw_path = match.group("path").strip()
candidate = repo_path / raw_path if not raw_path.startswith("/") else Path(raw_path)
try:
resolved = candidate.resolve()
except OSError:
continue
try:
relative_path = resolved.relative_to(repo_root).as_posix()
except ValueError:
continue
if resolved.is_file() and relative_path not in hinted_paths:
hinted_paths.append(relative_path)
return hinted_paths
def _repo_context_candidates(repo_path: Path, detected_stack: str, prompt: str = "") -> list[str]:
candidates = _extract_repo_relative_hints(prompt, repo_path) + ["README.md"]
candidates.extend(
{
"nextjs": [
"package.json",
"tsconfig.json",
"next.config.mjs",
"app/layout.tsx",
"app/page.tsx",
"pages/index.tsx",
],
"react": [
"package.json",
"tsconfig.json",
"vite.config.ts",
"index.html",
"src/main.tsx",
"src/App.tsx",
],
"rust": ["Cargo.toml", "src/main.rs", "src/lib.rs"],
"python": [
"pyproject.toml",
"requirements.txt",
"src/main.py",
"main.py",
"app/main.py",
],
"web": ["index.html"],
}.get(detected_stack, [])
)
existing: list[str] = []
for candidate in candidates:
if (repo_path / candidate).exists() and candidate not in existing:
existing.append(candidate)
if len(existing) >= _MAX_REPO_CONTEXT_FILES:
break
return existing
def _build_repo_context(
repo_path: Path | None, detected_stack: str, prompt: str = ""
) -> RepoContext | None:
if repo_path is None or not repo_path.exists():
return None
files = _repo_context_candidates(repo_path, detected_stack, prompt)
if not files:
return RepoContext(repo_path=str(repo_path), files=[])
excerpts: list[str] = []
for relative_path in files:
try:
content = (repo_path / relative_path).read_text(encoding="utf-8")
except OSError:
continue
excerpts.append(f"[FILE {relative_path}]\n{content[:_MAX_REPO_CONTEXT_CHARS].strip()}")
return (
RepoContext(repo_path=str(repo_path), files=files)
if not excerpts
else RepoContext(
repo_path=str(repo_path),
files=["\n\n".join(excerpts)],
)
)
def _build_system_prompt(
*,
language: str,
detected_stack: str,
repo_context: RepoContext | None,
) -> str:
stack_label = _STACK_DISPLAY_NAMES.get(detected_stack, language)
prompt = (
f"Tu esi Maris AI — eksperts programmētājs. Uzraksti {language} kodu ar pareizu {stack_label} projekta struktūru. "
"Dod production-ready risinājumu ar drošiem noklusējumiem, ievades validāciju un saprātīgu kļūdu apstrādi, ja tas attiecas uz uzdevumu. "
"Nepiedāvā pseidokodu, ja vien lietotājs to tieši neprasa. "
"Atbildi ar īsu paskaidrojumu, kurā nosauc edge cases un kā risinājumu pārbaudīt. "
"Ja pieprasījums ir par lietotni, UI vai workspace artefaktiem, atdod pilnu izpildāmu artefaktu. "
"Kad risinājums satur vienu vai vairākus failus, atbildi ar vienu ```json``` bloku formā "
'{"explanation":"...","entrypoint":"...","files":[{"path":"...","content":"..."}]} '
"un pārliecinies, ka files satur gala failus ar reālu saturu bez TODO placeholderiem. "
f"Primāri mērķē uz {stack_label} stacku un izmanto šim stackam idiomātiskus failu nosaukumus."
)
if repo_context is not None:
prompt += (
" Šī ir repo-aware rediģēšana esošam projektam: izmanto precīzus repo-relatīvos failu ceļus, "
"rediģē tikai nepieciešamos failus, saglabā esošo projekta struktūru un, ja prompt piesauc konkrētus failus, balsti risinājumu tieši uz tiem."
)
return prompt
def _materialize_workspace_artifacts(
files: list[ProjectFile],
*,
prompt: str,
) -> str | None:
if not files:
return None
artifact_dir = WORKSPACE_ARTIFACT_ROOT / f"{_slugify_prompt(prompt)}-{uuid4().hex[:8]}"
artifact_dir.mkdir(parents=True, exist_ok=True)
artifact_root = artifact_dir.resolve()
for file in files:
relative = Path(_sanitize_relative_path(file.path))
target = (artifact_root / relative).resolve()
if not str(target).startswith(str(artifact_root)):
raise HTTPException(status_code=400, detail="Nederīgs ģenerētā faila ceļš.")
target.parent.mkdir(parents=True, exist_ok=True)
target.write_text(file.content, encoding="utf-8")
file.absolute_path = str(target)
return str(artifact_root)
def _create_bundle_zip(workspace_artifact_dir: str | None) -> str | None:
if not workspace_artifact_dir:
return None
artifact_root = Path(workspace_artifact_dir)
if not artifact_root.exists():
return None
bundle_path = artifact_root.with_suffix(".zip")
with zipfile.ZipFile(bundle_path, mode="w", compression=zipfile.ZIP_DEFLATED) as bundle:
for path in sorted(artifact_root.rglob("*")):
if path.is_file():
bundle.write(path, arcname=path.relative_to(artifact_root))
return str(bundle_path)
@router.post("/generate", response_model=CodeResponse)
async def generate_code(req: CodeRequest) -> CodeResponse:
"""Ģenerē kodu pēc apraksta."""
from maris_core.utils.hf_integration import HFIntegration
hf = HFIntegration()
repo_path = _resolve_repo_path(req.repo_path, req.prompt)
detected_stack = _detect_stack(req.prompt, req.language, repo_path)
resolved_language = _display_language_for_stack(req.language, detected_stack)
repo_context = _build_repo_context(repo_path, detected_stack, req.prompt)
fallback_entrypoint = _default_entrypoint_for_stack(detected_stack, repo_path)
system_prompt = _build_system_prompt(
language=resolved_language,
detected_stack=detected_stack,
repo_context=repo_context,
)
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": req.prompt},
]
if repo_context is not None:
repo_context_content = (
f"Repo sakne: {repo_context.repo_path}\n"
f"Esošie svarīgie faili: {', '.join(_repo_context_candidates(repo_path or DEFAULT_REPO_ROOT, detected_stack, req.prompt)) or 'nav'}"
)
if repo_context.files:
repo_context_content += f"\n\n{repo_context.files[0]}"
messages.insert(1, {"role": "user", "content": repo_context_content})
if req.context:
messages.insert(1, {"role": "user", "content": f"Konteksts:\n{req.context}"})
pipe = get_pipeline()
raw_response: str | None = None
if pipe is not None:
try:
out = call_generation_pipeline(
pipe,
messages,
max_new_tokens=req.max_new_tokens,
temperature=0.2,
)
raw_response = out[0]["generated_text"][-1]["content"]
except Exception as exc: # noqa: BLE001
logger.error("Koda ģenerēšanas kļūda: %s", exc)
if raw_response is None:
fallback_result = complete_with_hf_fallback(
messages,
fallback_model=req.fallback_model,
max_new_tokens=req.max_new_tokens,
temperature=0.2,
)
if fallback_result is not None:
_, raw_response = fallback_result
else:
raise HTTPException(
status_code=503,
detail="Maris AI koda ģenerēšana šobrīd nav pieejama.",
)
files, entrypoint, structured_explanation = _extract_project_files(
raw_response,
language=resolved_language,
fallback_entrypoint=fallback_entrypoint,
)
files, entrypoint = _ensure_stack_scaffold(
files,
detected_stack=detected_stack,
entrypoint=entrypoint,
repo_path=repo_path,
)
code, explanation = _extract_code_block(raw_response, resolved_language)
if files:
code = _select_primary_code(files, entrypoint)
if structured_explanation:
explanation = structured_explanation
workspace_artifact_dir = _materialize_workspace_artifacts(files, prompt=req.prompt)
bundle_path = _create_bundle_zip(workspace_artifact_dir)
detected_stack_label = _STACK_DISPLAY_NAMES.get(detected_stack, detected_stack)
await hf.save_generation(
"code",
req.prompt,
{
"language": resolved_language,
"detected_stack": detected_stack_label,
"repo_path": str(repo_path) if repo_path is not None else None,
"fallback_model": req.fallback_model,
},
)
return CodeResponse(
code=code,
explanation=explanation,
language=resolved_language,
detected_stack=detected_stack_label,
files=files,
workspace_artifact_dir=workspace_artifact_dir,
bundle_path=bundle_path,
entrypoint=entrypoint,
repo_path=str(repo_path) if repo_path is not None else None,
)
@router.post("/fix", response_model=CodeResponse)
async def fix_code(req: FixCodeRequest) -> CodeResponse:
"""Labo kļūdainu kodu."""
prompt = f"Labo šo {req.language} kodu:\n```\n{req.code}\n```" + (
f"\nKļūda: {req.error_message}" if req.error_message else ""
)
return await generate_code(CodeRequest(prompt=prompt, language=req.language))
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