diff --git a/.coverage b/.coverage index cea8ccf..9f429c5 100644 Binary files a/.coverage and b/.coverage differ diff --git a/REFACTOR.md b/REFACTOR.md new file mode 100644 index 0000000..be2c882 --- /dev/null +++ b/REFACTOR.md @@ -0,0 +1,87 @@ +# Refactoring Plan + +Generated: 2026-02-12 +Scope: `tensors/` (all modules) + `tests/` + +## Summary + +11 issues found: 3 high priority, 5 medium priority, 3 low priority. + +## High Priority + +### [ ] Extract common HTTP request pattern in api.py +- **Location**: `api.py:38-108` +- **Problem**: `fetch_civitai_model_version`, `fetch_civitai_model`, and `fetch_civitai_by_hash` share nearly identical try/except/error-handling blocks (3x duplication). +- **Impact**: Changing error handling or adding retry logic requires editing 3+ places. Easy to introduce inconsistencies (e.g., `fetch_civitai_model_version` lacks the Progress spinner that the other two have). +- **Action**: Extract a `_api_get(url, api_key, console, spinner_msg=None) -> dict | None` helper that handles GET, 404 check, error printing, and optional Progress spinner. Each fetch function becomes a one-liner calling this helper. + +### [ ] Eliminate module-level console singleton in cli.py +- **Location**: `cli.py:67` +- **Problem**: `console = Console()` at module level is used by 6 helper functions (`_output_info_json`, `_save_metadata`, `_resolve_by_hash`, `_resolve_by_model_id`, `_prepare_download_dir`, `_display_download_info`) via closure rather than parameter passing. +- **Impact**: Impossible to inject a test console into helpers, prevents output capture in tests, creates hidden coupling. Commands pass `console` to API/display functions but helpers silently use the global. +- **Action**: Add `console: Console` parameter to all helper functions. Pass the module-level console from command functions. This makes the dependency explicit and testable. + +### [ ] Remove or use unused `safetensors` dependency +- **Location**: `pyproject.toml:8` +- **Problem**: `safetensors>=0.4.0` is listed as a runtime dependency but never imported anywhere. The code does manual binary parsing in `safetensor.py`. +- **Impact**: Unnecessary install bloat. Users install a native extension library they don't need. Confusing for contributors. +- **Action**: Remove `safetensors` from `[project.dependencies]` since manual parsing is the intended approach. + +## Medium Priority + +### [ ] Deduplicate output dict construction in cli.py +- **Location**: `cli.py:126-133` and `cli.py:154-161` +- **Problem**: `_output_info_json` and `_save_metadata` construct the same dict structure independently. +- **Impact**: Adding a new field to info output requires editing two places. +- **Action**: Extract `_build_info_dict(file_path, sha256_hash, local_metadata, civitai_data) -> dict` and call it from both functions. + +### [ ] Extract API timeout and chunk size constants +- **Location**: `api.py:43,70,97,175` and `safetensor.py:67` +- **Problem**: `timeout=30.0` appears 4 times in api.py. Chunk sizes (`1024 * 1024` in api.py, `1024 * 1024 * 8` in safetensor.py) are inline magic numbers. +- **Impact**: Changing timeout or chunk size requires hunting through code. +- **Action**: Add `API_TIMEOUT = 30.0`, `DOWNLOAD_CHUNK_SIZE = 1024 * 1024` to config.py or at module top. Add `HASH_CHUNK_SIZE = 1024 * 1024 * 8` to safetensor.py constants section. + +### [ ] Rename `_format_size` and `_format_count` to public API +- **Location**: `display.py:23,32` +- **Problem**: `_format_size` is imported and used by `cli.py:36` as a cross-module API but has a private underscore prefix. Same for `_format_count` which could be useful externally. +- **Impact**: Violates Python naming convention. Underscore-prefixed names signal "don't import this" but the codebase does. +- **Action**: Rename to `format_size` and `format_count`. Update all imports. + +### [ ] Deduplicate Progress spinner setup in api.py +- **Location**: `api.py:61-66,88-93,166-171` +- **Problem**: The `Progress(SpinnerColumn(), TextColumn(...), console=..., transient=True)` pattern is repeated 3 times with identical configuration. +- **Impact**: Changing spinner appearance requires 3 edits. +- **Action**: Extract `_spinner(console, description)` context manager helper or a factory function. This pairs well with the HTTP helper extraction in High Priority #1. + +### [ ] Add shared console fixture to tests +- **Location**: `tests/test_tensors.py:284,291,298,...` +- **Problem**: `Console(force_terminal=True, width=80)` is created ~15 times across test methods. +- **Impact**: Changing test console config requires editing every test. +- **Action**: Add a `console` fixture to `conftest.py` and use it across all test classes. + +## Low Priority + +### [ ] Replace hardcoded command list in main() +- **Location**: `cli.py:403` +- **Problem**: `arg not in ("info", "search", "get", "dl", "download", "config")` is a manually maintained list of known commands for legacy invocation detection. +- **Impact**: Adding a new command requires remembering to update this list, or legacy mode will swallow it. +- **Action**: Derive the command list from `app.registered_commands` or Typer's command registry dynamically. + +### [ ] Strengthen display function tests +- **Location**: `tests/test_tensors.py:279-385` +- **Problem**: Most display tests only assert "should not raise" with no output verification. +- **Impact**: Tests won't catch regressions in output format or content. +- **Action**: Use `Console(record=True)` to capture output, then assert key strings appear in `console.export_text()`. + +### [ ] Add tests for untested pure functions +- **Location**: `api.py:111-142,145-150,187-199,202-209` +- **Problem**: `_build_search_params`, `_filter_results`, `_setup_resume`, `_get_dest_from_response` have no test coverage. These are pure/near-pure functions that are easy to test. +- **Impact**: Logic errors in search parameter building or resume setup won't be caught. +- **Action**: Add direct unit tests for each function. These don't need HTTP mocking since they're pure logic. + +## Notes + +- High Priority #1 (HTTP helper) and Medium #6 (spinner dedup) should be done together since the extracted helper will naturally absorb the spinner logic. +- High Priority #2 (console singleton) should be done before Medium #7 (test fixture) since making console a parameter enables proper test injection. +- Medium #4 (output dict) is a quick win that can be done independently. +- Start with High Priority #3 (remove unused dep) as it's the simplest and lowest risk change. diff --git a/pyproject.toml b/pyproject.toml index b454891..75cf059 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,6 +11,9 @@ dependencies = [ "typer>=0.15.0", ] +[project.optional-dependencies] +server = ["fastapi>=0.115", "uvicorn>=0.30"] + [project.scripts] tsr = "tensors:main" @@ -30,6 +33,8 @@ dev = [ "pytest-cov>=4.1", "pre-commit>=3.6", "respx>=0.22.0", + "fastapi>=0.115", + "uvicorn>=0.30", ] [tool.ruff] @@ -56,6 +61,9 @@ ignore = [ "PLR0913", # Too many arguments - CLI commands need many options ] +[tool.ruff.lint.per-file-ignores] +"tests/**" = ["PLR2004", "ARG002", "TC001", "TC003"] + [tool.ruff.lint.isort] known-first-party = ["tensors"] @@ -79,6 +87,10 @@ ignore_missing_imports = false module = ["safetensors.*"] ignore_missing_imports = true +[[tool.mypy.overrides]] +module = ["uvicorn.*"] +ignore_missing_imports = true + [tool.pytest.ini_options] testpaths = ["tests"] addopts = "-v --cov=tensors --cov-report=term-missing" diff --git a/tensors/cli.py b/tensors/cli.py index a898924..30e1a68 100644 --- a/tensors/cli.py +++ b/tensors/cli.py @@ -64,6 +64,8 @@ def _main( ] = False, ) -> None: """Read safetensor metadata, search and download CivitAI models.""" + + console = Console() @@ -395,12 +397,71 @@ def config( console.print("[dim]Set API key with: tsr config --set-key YOUR_KEY[/dim]") +@app.command() +def generate( + prompt: Annotated[str, typer.Argument(help="Text prompt for image generation.")], + host: Annotated[str, typer.Option(help="sd-server address.")] = "127.0.0.1", + port: Annotated[int, typer.Option(help="sd-server port.")] = 1234, + output: Annotated[str, typer.Option("-o", help="Output directory.")] = ".", + negative_prompt: Annotated[str, typer.Option("-n", help="Negative prompt.")] = "", + width: Annotated[int, typer.Option("-W", help="Image width.")] = 512, + height: Annotated[int, typer.Option("-H", help="Image height.")] = 512, + steps: Annotated[int, typer.Option(help="Sampling steps.")] = 20, + cfg_scale: Annotated[float, typer.Option(help="CFG scale.")] = 7.0, + seed: Annotated[int, typer.Option("-s", help="RNG seed (-1 for random).")] = -1, + sampler: Annotated[str, typer.Option(help="Sampler name.")] = "", + scheduler: Annotated[str, typer.Option(help="Scheduler name.")] = "", + batch_size: Annotated[int, typer.Option("-b", help="Number of images.")] = 1, +) -> None: + """Generate images using a running sd-server.""" + from tensors.generate import SDClient, Txt2ImgParams, save_images # noqa: PLC0415 + + params = Txt2ImgParams( + prompt=prompt, + negative_prompt=negative_prompt, + width=width, + height=height, + steps=steps, + cfg_scale=cfg_scale, + seed=seed, + batch_size=batch_size, + sampler_name=sampler, + scheduler=scheduler, + ) + + with SDClient(host=host, port=port) as client: + console.print(f"[cyan]Generating {batch_size} image(s)...[/cyan]") + images = client.generate.txt2img(params) + paths = save_images(images, output) + for p in paths: + console.print(f"[green]Saved:[/green] {p}") + + +@app.command() +def serve( + host: Annotated[str, typer.Option(help="Wrapper API listen address.")] = "127.0.0.1", + port: Annotated[int, typer.Option(help="Wrapper API listen port.")] = 8080, + log_level: Annotated[str, typer.Option(help="Log level.")] = "info", +) -> None: + """Start the sd-server wrapper API.""" + try: + import uvicorn # noqa: PLC0415 + + from tensors.server import create_app # noqa: PLC0415 + except ImportError: + console.print("[red]Missing server dependencies. Install with:[/red]") + console.print(" pip install tensors[server]") + raise typer.Exit(1) from None + + uvicorn.run(create_app(), host=host, port=port, log_level=log_level) + + def main() -> int: """Main entry point.""" # Handle legacy invocation: tsr -> tsr info if len(sys.argv) > 1 and not sys.argv[1].startswith("-"): arg = sys.argv[1] - if arg not in ("info", "search", "get", "dl", "download", "config") and ( + if arg not in ("info", "search", "get", "dl", "download", "config", "generate", "serve") and ( arg.endswith(".safetensors") or arg.endswith(".sft") or Path(arg).exists() ): sys.argv = [sys.argv[0], "info", *sys.argv[1:]] diff --git a/tensors/generate/__init__.py b/tensors/generate/__init__.py new file mode 100644 index 0000000..5741ef3 --- /dev/null +++ b/tensors/generate/__init__.py @@ -0,0 +1,43 @@ +"""sd-server Python client — modular, httpx-based.""" + +from __future__ import annotations + +from typing import Any + +from tensors.generate._http import HttpTransport +from tensors.generate.generation import GenerationAPI +from tensors.generate.info import InfoAPI +from tensors.generate.params import Img2ImgParams, Txt2ImgParams +from tensors.generate.util import save_images + +__all__ = [ + "Img2ImgParams", + "SDClient", + "Txt2ImgParams", + "save_images", +] + + +class SDClient: + """Composite client for sd-server. + + Usage:: + + with SDClient() as c: + c.info.models() + images = c.generate.txt2img(Txt2ImgParams(prompt="a cat")) + """ + + def __init__(self, host: str = "127.0.0.1", port: int = 1234) -> None: + self._http = HttpTransport(f"http://{host}:{port}") + self.info = InfoAPI(self._http) + self.generate = GenerationAPI(self._http) + + def close(self) -> None: + self._http.close() + + def __enter__(self) -> SDClient: + return self + + def __exit__(self, *exc: Any) -> None: + self.close() diff --git a/tensors/generate/_http.py b/tensors/generate/_http.py new file mode 100644 index 0000000..ea4337d --- /dev/null +++ b/tensors/generate/_http.py @@ -0,0 +1,46 @@ +"""HTTP transport layer wrapping httpx.""" + +from __future__ import annotations + +import logging +from typing import Any + +import httpx + +logger = logging.getLogger(__name__) + + +class HttpTransport: + def __init__(self, base_url: str, timeout: float = 300.0) -> None: + self._client = httpx.Client(base_url=base_url, timeout=timeout) + logger.debug("transport ready: %s", base_url) + + def get(self, path: str) -> Any: + logger.debug("GET %s", path) + try: + r = self._client.get(path) + r.raise_for_status() + except httpx.HTTPStatusError as e: + logger.error("GET %s → %d: %s", path, e.response.status_code, e.response.text[:200]) + raise + except httpx.RequestError as e: + logger.error("GET %s connection failed: %s", path, e) + raise + return r.json() + + def post(self, path: str, json: dict[str, Any]) -> Any: + logger.debug("POST %s", path) + try: + r = self._client.post(path, json=json) + r.raise_for_status() + except httpx.HTTPStatusError as e: + logger.error("POST %s → %d: %s", path, e.response.status_code, e.response.text[:200]) + raise + except httpx.RequestError as e: + logger.error("POST %s connection failed: %s", path, e) + raise + return r.json() + + def close(self) -> None: + self._client.close() + logger.debug("transport closed") diff --git a/tensors/generate/generation.py b/tensors/generate/generation.py new file mode 100644 index 0000000..acc8b89 --- /dev/null +++ b/tensors/generate/generation.py @@ -0,0 +1,34 @@ +"""Image generation endpoints.""" + +from __future__ import annotations + +import base64 +import logging +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from tensors.generate._http import HttpTransport + from tensors.generate.params import Img2ImgParams, Txt2ImgParams + +logger = logging.getLogger(__name__) + + +class GenerationAPI: + def __init__(self, http: HttpTransport) -> None: + self._http = http + + def txt2img(self, params: Txt2ImgParams) -> list[bytes]: + """Generate images from text prompt.""" + logger.info("txt2img: '%s' %dx%d steps=%d", params.prompt[:60], params.width, params.height, params.steps) + data = self._http.post("/sdapi/v1/txt2img", params.to_body()) + images = [base64.b64decode(img) for img in data["images"]] + logger.info("txt2img: got %d image(s)", len(images)) + return images + + def img2img(self, params: Img2ImgParams) -> list[bytes]: + """Generate images from image + text prompt.""" + logger.info("img2img: '%s' strength=%.2f steps=%d", params.prompt[:60], params.denoising_strength, params.steps) + data = self._http.post("/sdapi/v1/img2img", params.to_body()) + images = [base64.b64decode(img) for img in data["images"]] + logger.info("img2img: got %d image(s)", len(images)) + return images diff --git a/tensors/generate/info.py b/tensors/generate/info.py new file mode 100644 index 0000000..abcb7ae --- /dev/null +++ b/tensors/generate/info.py @@ -0,0 +1,42 @@ +"""Model and server info endpoints.""" + +from __future__ import annotations + +import logging +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from tensors.generate._http import HttpTransport + +logger = logging.getLogger(__name__) + + +class InfoAPI: + def __init__(self, http: HttpTransport) -> None: + self._http = http + + def models(self) -> list[dict[str, Any]]: + """List loaded models (OpenAI /v1/models).""" + return self._http.get("/v1/models")["data"] # type: ignore[no-any-return] + + def sd_models(self) -> list[dict[str, Any]]: + """Detailed model info (sdapi).""" + return self._http.get("/sdapi/v1/sd-models") # type: ignore[no-any-return] + + def options(self) -> dict[str, Any]: + """Current server options.""" + return self._http.get("/sdapi/v1/options") # type: ignore[no-any-return] + + def loras(self) -> list[dict[str, Any]]: + """Available LoRAs from --lora-model-dir.""" + result: list[dict[str, Any]] = self._http.get("/sdapi/v1/loras") + logger.info("found %d lora(s)", len(result)) + return result + + def samplers(self) -> list[str]: + """Available sampler names.""" + return [s["name"] for s in self._http.get("/sdapi/v1/samplers")] + + def schedulers(self) -> list[str]: + """Available scheduler names.""" + return [s["name"] for s in self._http.get("/sdapi/v1/schedulers")] diff --git a/tensors/generate/params.py b/tensors/generate/params.py new file mode 100644 index 0000000..be18ce8 --- /dev/null +++ b/tensors/generate/params.py @@ -0,0 +1,100 @@ +"""Generation parameter dataclasses.""" + +from __future__ import annotations + +from dataclasses import dataclass, field +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + from pathlib import Path + +from tensors.generate.util import to_b64 + + +@dataclass +class Txt2ImgParams: + prompt: str + negative_prompt: str = "" + width: int = 512 + height: int = 512 + steps: int = 20 + cfg_scale: float = 7.0 + seed: int = -1 + batch_size: int = 1 + sampler_name: str = "" + scheduler: str = "" + clip_skip: int = -1 + lora: list[dict[str, Any]] | None = None + + def to_body(self) -> dict[str, Any]: + body = { + "prompt": self.prompt, + "negative_prompt": self.negative_prompt, + "width": self.width, + "height": self.height, + "steps": self.steps, + "cfg_scale": self.cfg_scale, + "seed": self.seed, + "batch_size": self.batch_size, + } + if self.sampler_name: + body["sampler_name"] = self.sampler_name + if self.scheduler: + body["scheduler"] = self.scheduler + if self.clip_skip > 0: + body["clip_skip"] = self.clip_skip + if self.lora: + body["lora"] = self.lora + return body + + +@dataclass +class Img2ImgParams: + prompt: str + init_image: str | bytes | Path + negative_prompt: str = "" + width: int = -1 + height: int = -1 + steps: int = 20 + cfg_scale: float = 7.0 + denoising_strength: float = 0.75 + seed: int = -1 + batch_size: int = 1 + sampler_name: str = "" + scheduler: str = "" + clip_skip: int = -1 + mask: str | bytes | Path | None = None + inpainting_mask_invert: bool = False + lora: list[dict[str, Any]] | None = None + extra_images: list[str | bytes | Path] = field(default_factory=list) + + def to_body(self) -> dict[str, Any]: + body: dict[str, Any] = { + "prompt": self.prompt, + "negative_prompt": self.negative_prompt, + "steps": self.steps, + "cfg_scale": self.cfg_scale, + "denoising_strength": self.denoising_strength, + "seed": self.seed, + "batch_size": self.batch_size, + "init_images": [to_b64(self.init_image)], + } + if self.width > 0: + body["width"] = self.width + if self.height > 0: + body["height"] = self.height + if self.mask is not None: + body["mask"] = to_b64(self.mask) + if self.inpainting_mask_invert: + body["inpainting_mask_invert"] = 1 + if self.sampler_name: + body["sampler_name"] = self.sampler_name + if self.scheduler: + body["scheduler"] = self.scheduler + if self.clip_skip > 0: + body["clip_skip"] = self.clip_skip + if self.lora: + body["lora"] = self.lora + if self.extra_images: + body["extra_images"] = [to_b64(img) for img in self.extra_images] + return body diff --git a/tensors/generate/util.py b/tensors/generate/util.py new file mode 100644 index 0000000..4014115 --- /dev/null +++ b/tensors/generate/util.py @@ -0,0 +1,37 @@ +"""Utility functions for image encoding and file I/O.""" + +import base64 +import logging +from pathlib import Path + +logger = logging.getLogger(__name__) + + +def to_b64(image: str | bytes | Path) -> str: + """Convert a file path, raw bytes, or base64 string to base64.""" + if isinstance(image, (str, Path)): + path = Path(image) + if path.exists(): + logger.debug("encoding file: %s", path) + return base64.b64encode(path.read_bytes()).decode() + return str(image) + if isinstance(image, bytes): + return base64.b64encode(image).decode() + raise TypeError(f"unsupported image type: {type(image)}") + + +def save_images( + images: list[bytes], + output_dir: str = ".", + prefix: str = "output", +) -> list[Path]: + """Write raw PNG bytes to numbered files. Returns saved paths.""" + out = Path(output_dir) + out.mkdir(parents=True, exist_ok=True) + paths = [] + for i, data in enumerate(images): + path = out / f"{prefix}_{i:04d}.png" + path.write_bytes(data) + logger.info("saved: %s", path) + paths.append(path) + return paths diff --git a/tensors/server/__init__.py b/tensors/server/__init__.py new file mode 100644 index 0000000..d539965 --- /dev/null +++ b/tensors/server/__init__.py @@ -0,0 +1,31 @@ +"""sd-server wrapper — FastAPI app for managing sd-server process.""" + +from __future__ import annotations + +from contextlib import asynccontextmanager +from typing import TYPE_CHECKING + +from fastapi import FastAPI + +from tensors.server.process import ProcessManager +from tensors.server.routes import create_router + +if TYPE_CHECKING: + from collections.abc import AsyncIterator + +__all__ = ["ProcessManager", "create_app"] + + +def create_app() -> FastAPI: + """Build the FastAPI application with process manager.""" + pm = ProcessManager() + + @asynccontextmanager + async def lifespan(_app: FastAPI) -> AsyncIterator[None]: + yield + pm.stop() + + app = FastAPI(title="sd-server wrapper", lifespan=lifespan) + app.include_router(create_router(pm)) + app.state.pm = pm + return app diff --git a/tensors/server/models.py b/tensors/server/models.py new file mode 100644 index 0000000..330bae1 --- /dev/null +++ b/tensors/server/models.py @@ -0,0 +1,19 @@ +"""Pydantic request models for the wrapper API.""" + +from __future__ import annotations + +from pydantic import BaseModel + +DEFAULT_PORT = 1234 + + +class StartRequest(BaseModel): + model: str + port: int = DEFAULT_PORT + args: list[str] = [] + + +class RestartRequest(BaseModel): + model: str | None = None + port: int | None = None + args: list[str] | None = None diff --git a/tensors/server/process.py b/tensors/server/process.py new file mode 100644 index 0000000..1898616 --- /dev/null +++ b/tensors/server/process.py @@ -0,0 +1,60 @@ +"""sd-server process lifecycle management.""" + +from __future__ import annotations + +import logging +import shutil +import signal +import subprocess +from typing import Any + +logger = logging.getLogger(__name__) + +SD_SERVER_BIN = shutil.which("sd-server") or "sd-server" + + +class ProcessManager: + def __init__(self) -> None: + self.proc: subprocess.Popen[bytes] | None = None + self.config: dict[str, Any] = {} + + def build_cmd(self, config: dict[str, Any] | None = None) -> list[str]: + cfg = config or self.config + cmd = [SD_SERVER_BIN, "-m", cfg["model"], "--listen-port", str(cfg["port"])] + cmd.extend(cfg.get("args", [])) + return cmd + + def start(self, config: dict[str, Any]) -> None: + if self.proc is not None and self.proc.poll() is None: + raise RuntimeError("Server already running — stop it first") + self.config = config + cmd = self.build_cmd(config) + self.proc = subprocess.Popen(cmd) + logger.info("started sd-server pid=%d cmd=%s", self.proc.pid, cmd) + + def stop(self) -> bool: + if self.proc is None or self.proc.poll() is not None: + self.proc = None + return False + self.proc.send_signal(signal.SIGTERM) + try: + self.proc.wait(timeout=10) + except subprocess.TimeoutExpired: + self.proc.kill() + self.proc.wait(timeout=5) + logger.info("stopped sd-server") + self.proc = None + return True + + def status(self) -> dict[str, Any]: + if self.proc is None: + return {"running": False} + rc = self.proc.poll() + if rc is not None: + return {"running": False, "exit_code": rc} + return { + "running": True, + "pid": self.proc.pid, + "config": self.config, + "cmd": self.build_cmd(), + } diff --git a/tensors/server/routes.py b/tensors/server/routes.py new file mode 100644 index 0000000..6074929 --- /dev/null +++ b/tensors/server/routes.py @@ -0,0 +1,59 @@ +"""FastAPI route handlers for the wrapper API.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING, Any + +from fastapi import APIRouter, HTTPException + +from tensors.server.models import RestartRequest, StartRequest # noqa: TC001 + +if TYPE_CHECKING: + from tensors.server.process import ProcessManager + + +def create_router(pm: ProcessManager) -> APIRouter: + """Build a new router bound to the given ProcessManager.""" + router = APIRouter() + + @router.get("/status") + def status() -> dict[str, Any]: + return pm.status() + + @router.post("/start") + def start(req: StartRequest) -> dict[str, Any]: + if pm.proc is not None and pm.proc.poll() is None: + raise HTTPException(409, "Server already running — use /restart or /stop first") + config = {"model": req.model, "port": req.port, "args": req.args} + pm.start(config) + assert pm.proc is not None + return {"started": True, "pid": pm.proc.pid, "cmd": pm.build_cmd(config)} + + @router.post("/stop") + def stop() -> dict[str, Any]: + if not pm.stop(): + raise HTTPException(409, "Server is not running") + return {"stopped": True} + + @router.post("/restart") + def restart(req: RestartRequest) -> dict[str, Any]: + if not pm.config and req.model is None: + raise HTTPException(400, "No previous config — provide at least 'model'") + config = dict(pm.config) + if req.model is not None: + config["model"] = req.model + if req.port is not None: + config["port"] = req.port + if req.args is not None: + config["args"] = req.args + was_running = pm.stop() + pm.start(config) + assert pm.proc is not None + return { + "restarted": True, + "was_running": was_running, + "pid": pm.proc.pid, + "cmd": pm.build_cmd(config), + } + + return router diff --git a/tests/conftest.py b/tests/conftest.py index df83dc4..6cfc14e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2,10 +2,25 @@ from __future__ import annotations +import base64 import json import struct import pytest +import respx + +from tensors.generate import SDClient + +BASE_URL = "http://127.0.0.1:1234" + +# 1x1 red PNG for image response stubs +TINY_PNG = ( + b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01" + b"\x00\x00\x00\x01\x08\x02\x00\x00\x00\x90wS\xde\x00" + b"\x00\x00\x0cIDATx\x9cc\xf8\x0f\x00\x00\x01\x01\x00" + b"\x05\x18\xd8N\x00\x00\x00\x00IEND\xaeB`\x82" +) +TINY_PNG_B64 = base64.b64encode(TINY_PNG).decode() @pytest.fixture @@ -28,3 +43,18 @@ def temp_safetensor(tmp_path): f.write(header_bytes) return file_path + + +@pytest.fixture() +def mock_api(): + """Activate respx mock for the sd-server base URL.""" + with respx.mock(base_url=BASE_URL, assert_all_called=False) as rsps: + yield rsps + + +@pytest.fixture() +def client(mock_api: respx.MockRouter) -> SDClient: # noqa: ARG001 + """SDClient wired to the mocked transport.""" + c = SDClient() + yield c # type: ignore[misc] + c.close() diff --git a/tests/test_generate.py b/tests/test_generate.py new file mode 100644 index 0000000..fdfe63d --- /dev/null +++ b/tests/test_generate.py @@ -0,0 +1,303 @@ +"""Tests for tensors.generate package.""" + +from __future__ import annotations + +import base64 +import json +from pathlib import Path + +import httpx +import pytest +import respx + +from tensors.generate import SDClient +from tensors.generate._http import HttpTransport +from tensors.generate.params import Img2ImgParams, Txt2ImgParams +from tensors.generate.util import save_images, to_b64 +from tests.conftest import BASE_URL, TINY_PNG, TINY_PNG_B64 + +# ── util ────────────────────────────────────────────────────────────── + + +class TestToB64: + def test_bytes_input(self): + raw = b"hello" + assert to_b64(raw) == base64.b64encode(raw).decode() + + def test_file_path(self, tmp_path: Path): + f = tmp_path / "img.png" + f.write_bytes(b"\x89PNG") + result = to_b64(str(f)) + assert base64.b64decode(result) == b"\x89PNG" + + def test_pathlib_path(self, tmp_path: Path): + f = tmp_path / "img.png" + f.write_bytes(b"data") + result = to_b64(f) + assert base64.b64decode(result) == b"data" + + def test_passthrough_string(self): + b64 = base64.b64encode(b"already").decode() + assert to_b64(b64) == b64 + + def test_unsupported_type(self): + with pytest.raises(TypeError, match="unsupported image type"): + to_b64(12345) # type: ignore[arg-type] + + +class TestSaveImages: + def test_saves_files(self, tmp_path: Path): + images = [b"img0", b"img1", b"img2"] + paths = save_images(images, str(tmp_path), prefix="test") + assert len(paths) == 3 + for i, p in enumerate(paths): + assert p.name == f"test_{i:04d}.png" + assert p.read_bytes() == images[i] + + def test_creates_directory(self, tmp_path: Path): + out = tmp_path / "sub" / "dir" + save_images([b"x"], str(out)) + assert (out / "output_0000.png").exists() + + +# ── params ──────────────────────────────────────────────────────────── + + +class TestTxt2ImgParams: + def test_minimal_body(self): + p = Txt2ImgParams(prompt="a cat") + body = p.to_body() + assert body["prompt"] == "a cat" + assert body["width"] == 512 + assert body["height"] == 512 + assert body["steps"] == 20 + assert body["seed"] == -1 + assert "sampler_name" not in body + assert "scheduler" not in body + assert "clip_skip" not in body + assert "lora" not in body + + def test_optional_fields_included(self): + p = Txt2ImgParams( + prompt="test", + sampler_name="euler_a", + scheduler="karras", + clip_skip=2, + lora=[{"path": "x.safetensors", "multiplier": 0.5}], + ) + body = p.to_body() + assert body["sampler_name"] == "euler_a" + assert body["scheduler"] == "karras" + assert body["clip_skip"] == 2 + assert len(body["lora"]) == 1 + + +class TestImg2ImgParams: + def test_minimal_body(self, tmp_path: Path): + img = tmp_path / "init.png" + img.write_bytes(b"\x89PNG") + p = Img2ImgParams(prompt="paint it", init_image=str(img)) + body = p.to_body() + assert body["prompt"] == "paint it" + assert body["denoising_strength"] == 0.75 + decoded = base64.b64decode(body["init_images"][0]) + assert decoded == b"\x89PNG" + assert "width" not in body + assert "height" not in body + assert "mask" not in body + + def test_all_optional_fields(self, tmp_path: Path): + img = tmp_path / "init.png" + img.write_bytes(b"img") + mask = tmp_path / "mask.png" + mask.write_bytes(b"mask") + extra = tmp_path / "extra.png" + extra.write_bytes(b"extra") + + p = Img2ImgParams( + prompt="test", + init_image=str(img), + mask=str(mask), + width=768, + height=768, + inpainting_mask_invert=True, + sampler_name="euler", + scheduler="simple", + clip_skip=1, + lora=[{"path": "a.gguf", "multiplier": 1.0}], + extra_images=[str(extra)], + ) + body = p.to_body() + assert body["width"] == 768 + assert body["mask"] + assert body["inpainting_mask_invert"] == 1 + assert body["sampler_name"] == "euler" + assert len(body["extra_images"]) == 1 + + +# ── _http ───────────────────────────────────────────────────────────── + + +class TestHttpTransport: + def test_get_success(self): + with respx.mock(base_url=BASE_URL) as rsps: + rsps.get("/test").respond(json={"ok": True}) + t = HttpTransport(BASE_URL) + assert t.get("/test") == {"ok": True} + t.close() + + def test_post_success(self): + with respx.mock(base_url=BASE_URL) as rsps: + rsps.post("/gen").respond(json={"images": []}) + t = HttpTransport(BASE_URL) + assert t.post("/gen", {"prompt": "x"}) == {"images": []} + t.close() + + def test_get_http_error(self): + with respx.mock(base_url=BASE_URL) as rsps: + rsps.get("/bad").respond(status_code=404, text="not found") + t = HttpTransport(BASE_URL) + with pytest.raises(httpx.HTTPStatusError): + t.get("/bad") + t.close() + + def test_post_http_error(self): + with respx.mock(base_url=BASE_URL) as rsps: + rsps.post("/bad").respond(status_code=500, text="error") + t = HttpTransport(BASE_URL) + with pytest.raises(httpx.HTTPStatusError): + t.post("/bad", {}) + t.close() + + def test_get_connection_error(self): + with respx.mock(base_url=BASE_URL) as rsps: + rsps.get("/fail").mock(side_effect=httpx.ConnectError("refused")) + t = HttpTransport(BASE_URL) + with pytest.raises(httpx.ConnectError): + t.get("/fail") + t.close() + + +# ── info ────────────────────────────────────────────────────────────── + + +class TestInfoAPI: + def test_models(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/v1/models").respond(json={"data": [{"id": "sd-cpp-local", "object": "model", "owned_by": "local"}]}) + result = client.info.models() + assert len(result) == 1 + assert result[0]["id"] == "sd-cpp-local" + + def test_sd_models(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/sdapi/v1/sd-models").respond( + json=[{"title": "sdxl", "model_name": "sdxl", "filename": "sdxl.safetensors"}] + ) + result = client.info.sd_models() + assert result[0]["title"] == "sdxl" + + def test_options(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/sdapi/v1/options").respond( + json={ + "samples_format": "png", + "sd_model_checkpoint": "v1-5", + } + ) + result = client.info.options() + assert result["sd_model_checkpoint"] == "v1-5" + + def test_loras(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/sdapi/v1/loras").respond( + json=[ + {"name": "style", "path": "style.safetensors"}, + ] + ) + result = client.info.loras() + assert len(result) == 1 + assert result[0]["name"] == "style" + + def test_samplers(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/sdapi/v1/samplers").respond( + json=[ + {"name": "euler", "aliases": ["euler"], "options": {}}, + {"name": "euler_a", "aliases": ["euler_a"], "options": {}}, + ] + ) + result = client.info.samplers() + assert result == ["euler", "euler_a"] + + def test_schedulers(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.get("/sdapi/v1/schedulers").respond( + json=[ + {"name": "discrete", "label": "discrete"}, + {"name": "karras", "label": "karras"}, + ] + ) + result = client.info.schedulers() + assert result == ["discrete", "karras"] + + +# ── generation ──────────────────────────────────────────────────────── + + +class TestTxt2Img: + def test_returns_decoded_images(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.post("/sdapi/v1/txt2img").respond( + json={ + "images": [TINY_PNG_B64], + "parameters": {}, + "info": "", + } + ) + images = client.generate.txt2img(Txt2ImgParams(prompt="a cat")) + assert len(images) == 1 + assert images[0] == TINY_PNG + + def test_multiple_images(self, mock_api: respx.MockRouter, client: SDClient): + mock_api.post("/sdapi/v1/txt2img").respond( + json={ + "images": [TINY_PNG_B64, TINY_PNG_B64, TINY_PNG_B64], + "parameters": {}, + "info": "", + } + ) + params = Txt2ImgParams(prompt="cats", batch_size=3) + images = client.generate.txt2img(params) + assert len(images) == 3 + + def test_sends_correct_body(self, mock_api: respx.MockRouter, client: SDClient): + route = mock_api.post("/sdapi/v1/txt2img").respond( + json={ + "images": [TINY_PNG_B64], + "parameters": {}, + "info": "", + } + ) + params = Txt2ImgParams( + prompt="hello", + width=768, + height=768, + steps=30, + sampler_name="euler_a", + ) + client.generate.txt2img(params) + sent = json.loads(route.calls[0].request.content) + assert sent["prompt"] == "hello" + assert sent["width"] == 768 + assert sent["sampler_name"] == "euler_a" + + +class TestImg2Img: + def test_returns_decoded_images(self, mock_api: respx.MockRouter, client: SDClient, tmp_path: Path): + mock_api.post("/sdapi/v1/img2img").respond( + json={ + "images": [TINY_PNG_B64], + "parameters": {}, + "info": "", + } + ) + img = tmp_path / "init.png" + img.write_bytes(TINY_PNG) + params = Img2ImgParams(prompt="paint", init_image=str(img)) + images = client.generate.img2img(params) + assert len(images) == 1 + assert images[0] == TINY_PNG diff --git a/tests/test_server.py b/tests/test_server.py new file mode 100644 index 0000000..090c649 --- /dev/null +++ b/tests/test_server.py @@ -0,0 +1,141 @@ +"""Tests for tensors.server package (FastAPI sd-server manager).""" + +from __future__ import annotations + +from unittest.mock import MagicMock, patch + +import pytest +from fastapi.testclient import TestClient + +from tensors.server import create_app +from tensors.server.process import ProcessManager + + +@pytest.fixture() +def pm() -> ProcessManager: + return ProcessManager() + + +@pytest.fixture() +def api() -> TestClient: + return TestClient(create_app()) + + +def _get_pm(api: TestClient) -> ProcessManager: + return api.app.state.pm # type: ignore[union-attr] + + +class TestStatus: + def test_not_running(self, api: TestClient) -> None: + r = api.get("/status") + assert r.status_code == 200 + assert r.json()["running"] is False + + def test_running(self, api: TestClient) -> None: + pm = _get_pm(api) + mock_proc = MagicMock() + mock_proc.poll.return_value = None + mock_proc.pid = 999 + pm.proc = mock_proc + pm.config = {"model": "/m.safetensors", "port": 1234, "args": []} + r = api.get("/status") + data = r.json() + assert data["running"] is True + assert data["pid"] == 999 + + def test_exited(self, api: TestClient) -> None: + pm = _get_pm(api) + mock_proc = MagicMock() + mock_proc.poll.return_value = 1 + pm.proc = mock_proc + r = api.get("/status") + data = r.json() + assert data["running"] is False + assert data["exit_code"] == 1 + + +class TestStart: + @patch("tensors.server.process.subprocess.Popen") + def test_start_success(self, mock_popen: MagicMock, api: TestClient) -> None: + mock_popen.return_value.pid = 42 + mock_popen.return_value.poll.return_value = None + r = api.post("/start", json={"model": "/m.safetensors"}) + assert r.status_code == 200 + assert r.json()["started"] is True + assert r.json()["pid"] == 42 + + @patch("tensors.server.process.subprocess.Popen") + def test_start_already_running(self, mock_popen: MagicMock, api: TestClient) -> None: + pm = _get_pm(api) + mock_proc = MagicMock() + mock_proc.poll.return_value = None + pm.proc = mock_proc + r = api.post("/start", json={"model": "/m.safetensors"}) + assert r.status_code == 409 + + +class TestStop: + def test_stop_not_running(self, api: TestClient) -> None: + r = api.post("/stop") + assert r.status_code == 409 + + def test_stop_running(self, api: TestClient) -> None: + pm = _get_pm(api) + mock_proc = MagicMock() + mock_proc.poll.return_value = None + mock_proc.wait.return_value = 0 + pm.proc = mock_proc + r = api.post("/stop") + assert r.status_code == 200 + assert r.json()["stopped"] is True + mock_proc.send_signal.assert_called_once() + + +class TestRestart: + def test_restart_no_config_no_model(self, api: TestClient) -> None: + r = api.post("/restart", json={}) + assert r.status_code == 400 + + @patch("tensors.server.process.subprocess.Popen") + def test_restart_with_new_model(self, mock_popen: MagicMock, api: TestClient) -> None: + mock_popen.return_value.pid = 100 + mock_popen.return_value.poll.return_value = None + pm = _get_pm(api) + pm.config = {"model": "/old.safetensors", "port": 1234, "args": []} + r = api.post("/restart", json={"model": "/new.safetensors"}) + assert r.status_code == 200 + data = r.json() + assert data["restarted"] is True + assert "/new.safetensors" in str(data["cmd"]) + + @patch("tensors.server.process.subprocess.Popen") + def test_restart_keeps_previous_config(self, mock_popen: MagicMock, api: TestClient) -> None: + mock_popen.return_value.pid = 101 + mock_popen.return_value.poll.return_value = None + pm = _get_pm(api) + pm.config = {"model": "/m.safetensors", "port": 5555, "args": ["--fa"]} + r = api.post("/restart", json={}) + assert r.status_code == 200 + assert "5555" in str(r.json()["cmd"]) + + +class TestProcessManager: + def test_status_not_running(self, pm: ProcessManager) -> None: + assert pm.status() == {"running": False} + + def test_build_cmd(self, pm: ProcessManager) -> None: + config = {"model": "/m.gguf", "port": 1234, "args": ["--fa"]} + cmd = pm.build_cmd(config) + assert "/m.gguf" in cmd + assert "--fa" in cmd + assert "1234" in cmd + + @patch("tensors.server.process.subprocess.Popen") + def test_start_and_stop(self, mock_popen: MagicMock, pm: ProcessManager) -> None: + mock_popen.return_value.pid = 77 + mock_popen.return_value.poll.return_value = None + mock_popen.return_value.wait.return_value = 0 + pm.start({"model": "/m.gguf", "port": 1234, "args": []}) + assert pm.proc is not None + assert pm.stop() is True + assert pm.proc is None diff --git a/uv.lock b/uv.lock index f52ed86..e894e29 100644 --- a/uv.lock +++ b/uv.lock @@ -2,6 +2,24 @@ version = 1 revision = 3 requires-python = ">=3.12" +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = 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