Smart contract linter for the Xian blockchain
Project description
xian-linter
xian-linter is a Python linter specifically for Xian smart contracts. It
combines PyFlakes with the structured linter exposed by
xian-contracting, so rule violations come back with
stable error codes and source positions that downstream tools can rely on.
The published PyPI package is xian-tech-linter. The import package and
console command remain xian_linter and xian-linter. The package can be
used inline (as a dependency in another tool) or as an HTTP server when the
server extra is installed.
Linting Shape
flowchart LR
Source["Contract source"] --> API["Inline API or HTTP server"]
API --> Pyflakes["PyFlakes checks"]
API --> Contracting["xian-contracting structured linter"]
Contracting --> VM["Optional xian_vm_v1 validation"]
Pyflakes --> Results["Stable diagnostics"]
Contracting --> Results
VM --> Results
Results --> Tools["IDE, hub, CI, and scripts"]
Quick Start
Install the base package:
uv add xian-tech-linter
Lint inline (lightweight, position-only diagnostics):
from xian_linter import lint_code_inline
errors = lint_code_inline("def transfer():\n pass\n")
Get fully-typed structured results:
from xian_linter import LintErrorModel, lint_code_sync
errors: list[LintErrorModel] = lint_code_sync(
"@export\ndef transfer():\n return missing_name\n"
)
Validate against the xian_vm_v1 target:
uv add "xian-tech-linter[vm]"
from xian_linter import lint_code_sync
errors = lint_code_sync(source, mode="xian_vm_v1")
Run as a standalone HTTP server:
uv add "xian-tech-linter[server]"
xian-linter
# or, with full ASGI control:
uvicorn xian_linter.server:create_app --factory --host 0.0.0.0 --port 8000
Principles
- Linting only. The package focuses on contract linting; runtime execution and contract submission belong elsewhere.
- One rule surface, multiple integration modes. Inline and server modes expose the same rules and error codes.
- VM-aware without duplicated semantics.
mode="xian_vm_v1"delegates toxian-contractingfor VM compatibility and IR lowering, and uses the nativexian_vm_coreIR validator when thevmextra is installed. - Stable codes and positions. Tooling (IDE plugins, CI gates, the contracting hub) can rely on consistent error codes and source positions to render diagnostics.
- Importable from the root.
LintErrorModel,lint_code_inline, andlint_code_syncare importable from the package root — callers do not reach into internal modules. - Optional server. The core package is useful as a local linting dependency without installing the server extra.
Key Directories
xian_linter/— package code:linter.py— core lint engine combining PyFlakes and the structuredxian-contractinglinter.server.py— optional FastAPI / ASGI server (serverextra).__main__.py—xian-linterconsole entrypoint.
tests/— inline and server-mode coverage.docs/— architecture and backlog notes.
Usage Modes
- Inline / programmatic — for in-process linting from another Python
tool:
from xian_linter import lint_code_inline, lint_code_sync inline_errors = lint_code_inline("def transfer():\n pass\n") sync_errors = lint_code_sync("def transfer():\n pass\n") vm_errors = lint_code_sync(source, mode="xian_vm_v1")
- HTTP server — for editor / IDE integrations, CI runners, or remote
linting from web frontends:
uv add "xian-tech-linter[server]" xian-linter
Select the VM target with?mode=xian_vm_v1on/lint,/lint_base64, or/lint_gzip. Installxian-tech-linter[server,vm]when the server should also run native IR validation throughxian_vm_core.
Validation
uv sync --group dev
uv run ruff check .
uv run ruff format --check .
uv run pytest
Related Docs
- AGENTS.md — repo-specific guidance for AI agents and contributors
- docs/README.md — index of internal docs
- docs/ARCHITECTURE.md — major components and dependency direction
- docs/BACKLOG.md — open work and follow-ups
Project details
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