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Dec 4, 2025更新

智能生成高质量代码,秒懂逻辑+优化建议,开发效率翻倍,代码质量飙升!

代码实现

# File: app/config.py
from __future__ import annotations
import os
from typing import Optional
from pydantic import BaseModel, Field


class Settings(BaseModel):
    app_name: str = "CSV Cleaner Service"
    version: str = "1.0.0"
    environment: str = os.getenv("ENV", "production")
    storage_dir: str = os.getenv("STORAGE_DIR", "outputs")
    tmp_dir: str = os.getenv("TMP_DIR", "tmp")
    max_workers: int = int(os.getenv("MAX_WORKERS", "0"))  # 0 = auto
    polars_threads: Optional[int] = None
    # Service options
    default_null_values: list[str] = ["", "NA", "N/A", "null", "None", "NaN"]
    default_bool_true: list[str] = ["true", "1", "yes", "y", "t", "on"]
    default_bool_false: list[str] = ["false", "0", "no", "n", "f", "off"]
    default_date_formats: list[str] = [
        "%Y-%m-%d",
        "%Y/%m/%d",
        "%Y-%m-%d %H:%M:%S",
        "%Y/%m/%d %H:%M:%S",
        "%d-%m-%Y",
        "%d/%m/%Y",
        "%m/%d/%Y",
        "%m/%d/%Y %H:%M:%S",
        "%Y%m%d",
    ]
    # I/O
    output_clean_prefix: str = "cleaned"
    output_reject_prefix: str = "rejects"
    output_report_name: str = "report.json"
    compress_outputs: bool = True
    # Perf
    profile_enabled: bool = bool(int(os.getenv("PROFILE_ENABLED", "0")))
    profile_samples: int = int(os.getenv("PROFILE_SAMPLES", "1"))

    @staticmethod
    def load() -> "Settings":
        s = Settings()
        os.makedirs(s.storage_dir, exist_ok=True)
        os.makedirs(s.tmp_dir, exist_ok=True)
        if s.polars_threads:
            os.environ["POLARS_MAX_THREADS"] = str(s.polars_threads)
        return s


settings = Settings.load()


# File: app/utils/logging.py
from __future__ import annotations
import structlog
import time
from typing import Any, Callable


def setup_logging():
    structlog.configure(
        processors=[
            structlog.processors.TimeStamper(fmt="iso"),
            structlog.processors.JSONRenderer(),
        ],
    )
    return structlog.get_logger()


log = setup_logging()


class StageTimer:
    def __init__(self, stage: str, extra: dict[str, Any] | None = None):
        self.stage = stage
        self.extra = extra or {}
        self.start = None

    def __enter__(self):
        self.start = time.perf_counter()
        log.info("stage_start", stage=self.stage, **self.extra)
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        elapsed = time.perf_counter() - self.start
        log.info("stage_end", stage=self.stage, elapsed_ms=int(elapsed * 1000), **self.extra)


def timed(stage: str) -> Callable:
    def deco(fn: Callable):
        def wrapper(*args, **kwargs):
            with StageTimer(stage):
                return fn(*args, **kwargs)
        return wrapper
    return deco


# File: app/errors.py
from __future__ import annotations
from fastapi import status
from fastapi.exceptions import HTTPException


class UserError(HTTPException):
    def __init__(self, detail: str, code: int = status.HTTP_400_BAD_REQUEST):
        super().__init__(status_code=code, detail=detail)


class SystemError(HTTPException):
    def __init__(self, detail: str):
        super().__init__(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=detail)


# File: app/validators/schema_models.py
from __future__ import annotations
from typing import Literal, Optional, List, Dict
from pydantic import BaseModel, Field, field_validator


ColumnType = Literal["string", "int", "float", "bool", "date"]


class FieldSpec(BaseModel):
    source: str = Field(..., description="原始列名或位置标识(column_1)")
    name: str = Field(..., description="规范化后的目标列名(snake_case)")
    type: ColumnType = Field(..., description="目标类型")
    required: bool = False
    date_formats: Optional[List[str]] = None
    allowed_values: Optional[List[str]] = None
    min: Optional[float] = None
    max: Optional[float] = None
    bool_true: Optional[List[str]] = None
    bool_false: Optional[List[str]] = None

    @field_validator("name")
    def ensure_snake(cls, v: str):
        import re

        s = v.strip().lower()
        s = re.sub(r"[^a-z0-9]+", "_", s)
        s = re.sub(r"^_|_$", "", s)
        return s


class SchemaModel(BaseModel):
    fields: List[FieldSpec]


class OptionsModel(BaseModel):
    primary_key: Optional[List[str]] = None
    dedup_action: Literal["drop", "reject"] = "drop"
    missing_fill: Optional[Dict[str, str | int | float | Literal["mean", "median", "mode"]]] = None
    date_formats: Optional[List[str]] = None
    keep_unmapped: bool = True
    null_values: Optional[List[str]] = None
    compression: bool = True
    chunk_size: int = 1024 * 1024
    # report toggles
    include_field_coverage: bool = True
    include_exception_distribution: bool = True


# File: app/io/detect.py
from __future__ import annotations
import csv
from typing import Tuple
import chardet


def detect_encoding(path: str, sample_bytes: int = 128 * 1024) -> str:
    with open(path, "rb") as f:
        raw = f.read(sample_bytes)
    res = chardet.detect(raw)
    enc = res.get("encoding") or "utf-8"
    return enc


def sniff_delimiter_and_header(path: str, encoding: str, sample_bytes: int = 128 * 1024) -> Tuple[str, bool]:
    with open(path, "rb") as f:
        raw = f.read(sample_bytes)
    text = raw.decode(encoding, errors="replace")
    sniffer = csv.Sniffer()
    try:
        dialect = sniffer.sniff(text, delimiters=[",", ";", "\t", "|"])
        delimiter = dialect.delimiter
    except Exception:
        delimiter = ","
    try:
        has_header = sniffer.has_header(text)
    except Exception:
        has_header = True
    return delimiter, has_header


def recode_to_utf8(src_path: str, dst_path: str, encoding: str, chunk_size: int = 1024 * 1024) -> None:
    if encoding.lower() in ("utf-8", "utf_8", "ascii"):
        # No recode needed
        if src_path != dst_path:
            # copy stream
            with open(src_path, "rb") as si, open(dst_path, "wb") as so:
                while True:
                    b = si.read(chunk_size)
                    if not b:
                        break
                    so.write(b)
        return
    # Stream recode to utf-8
    with open(src_path, "rb") as rb, open(dst_path, "wb") as wb:
        import io

        reader = io.TextIOWrapper(rb, encoding=encoding, errors="replace", newline="")
        writer = io.TextIOWrapper(wb, encoding="utf-8", newline="")
        while True:
            chunk = reader.read(chunk_size)
            if not chunk:
                break
            writer.write(chunk)
        writer.flush()


# File: app/io/storage.py
from __future__ import annotations
import os
import shutil
import gzip
from typing import Tuple
from . import detect
from ..config import settings
from ..utils.logging import log


def ensure_job_dir(job_id: str) -> str:
    outdir = os.path.join(settings.storage_dir, job_id)
    os.makedirs(outdir, exist_ok=True)
    return outdir


def save_upload(file_obj, job_id: str, filename: str) -> str:
    outdir = ensure_job_dir(job_id)
    dst_path = os.path.join(outdir, filename)
    with open(dst_path, "wb") as f:
        shutil.copyfileobj(file_obj, f)
    return dst_path


def compress_file(path: str, delete_original: bool = True, chunk_size: int = 1024 * 1024) -> str:
    gz_path = path + ".gz"
    with open(path, "rb") as f_in, gzip.open(gz_path, "wb", compresslevel=6) as f_out:
        shutil.copyfileobj(f_in, f_out, length=chunk_size)
    if delete_original:
        try:
            os.remove(path)
        except FileNotFoundError:
            pass
    return gz_path


# File: app/pipeline/cleaner.py
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
import json
import time
import polars as pl
from ..validators.schema_models import SchemaModel, OptionsModel, FieldSpec
from ..io.detect import detect_encoding, sniff_delimiter_and_header, recode_to_utf8
from ..io.storage import compress_file
from ..config import settings
from ..utils.logging import log, StageTimer


@dataclass
class PipelineResult:
    job_id: str
    total_rows: int
    valid_rows: int
    reject_rows: int
    duplicate_dropped: int
    cleaned_path: str
    rejects_path: str
    report_path: str
    meta: Dict[str, Any]


def _normalize_colname(name: str) -> str:
    import re

    s = name.strip().lower()
    s = re.sub(r"[^a-z0-9]+", "_", s)
    s = re.sub(r"^_|_$", "", s)
    return s


def _build_bool_expr(col: str, true_list: List[str], false_list: List[str]) -> pl.Expr:
    tl = [t.lower() for t in true_list]
    fl = [f.lower() for f in false_list]
    return (
        pl.when(pl.col(col).is_null())
        .then(None)
        .when(pl.col(col).cast(pl.Int64, strict=False).is_not_null())  # numeric to bool
        .then(pl.col(col).cast(pl.Int64, strict=False) != 0)
        .otherwise(
            pl.when(pl.col(col).str.to_lowercase().str.strip_chars().is_in(tl))
            .then(True)
            .when(pl.col(col).str.to_lowercase().str.strip_chars().is_in(fl))
            .then(False)
            .otherwise(None)
        )
    ).cast(pl.Boolean)


def _sanitize_numeric(col: str) -> pl.Expr:
    # remove thousands separators and spaces; parentheses -> negative
    return (
        pl.col(col)
        .str.replace_all(r"[,\s]", "")
        .str.replace_all(r"^\((.*)\)$", r"-\1")
        .str.strip()
    )


def _cast_numeric(col: str, as_int: bool) -> pl.Expr:
    base = _sanitize_numeric(col)
    if as_int:
        return base.cast(pl.Int64, strict=False)
    else:
        return base.cast(pl.Float64, strict=False)


def _parse_date_expr(col: str, fmts: List[str]) -> pl.Expr:
    exprs = []
    for fmt in fmts:
        exprs.append(pl.col(col).strptime(pl.Datetime, format=fmt, strict=False, exact=False))
    # epoch seconds
    exprs.append(pl.from_epoch(pl.col(col).cast(pl.Int64, strict=False), unit="s"))
    # epoch milliseconds
    exprs.append(pl.from_epoch(pl.col(col).cast(pl.Int64, strict=False), unit="ms"))
    # coalesce
    return pl.coalesce(*exprs).cast(pl.Datetime, strict=False)


def _reasons_concat(exprs: List[pl.Expr]) -> pl.Expr:
    # concat non-null reasons with "|"
    return pl.concat_str(exprs, separator="|", ignore_nulls=True)


def build_pipeline(
    src_path: str,
    job_id: str,
    schema: SchemaModel,
    options: OptionsModel,
) -> PipelineResult:
    out_dir = f"{settings.storage_dir}/{job_id}"
    cleaned_csv = f"{out_dir}/{settings.output_clean_prefix}.csv"
    rejects_csv = f"{out_dir}/{settings.output_reject_prefix}.csv"
    report_json = f"{out_dir}/{settings.output_report_name}"

    null_values = options.null_values or settings.default_null_values

    with StageTimer("detect"):
        encoding = detect_encoding(src_path)
        delimiter, has_header = sniff_delimiter_and_header(src_path, encoding)
        log.info("detect_result", encoding=encoding, delimiter=delimiter, has_header=has_header)

    utf8_path = f"{out_dir}/source_utf8.csv"
    with StageTimer("recode"):
        recode_to_utf8(src_path, utf8_path, encoding=encoding, chunk_size=options.chunk_size)

    with StageTimer("scan_csv", extra={"sep": delimiter, "header": has_header}):
        lf = pl.scan_csv(
            utf8_path,
            separator=delimiter,
            has_header=has_header,
            null_values=null_values,
            infer_schema_length=1000,
            ignore_errors=True,
        )

    # Normalize header names
    with StageTimer("normalize_columns"):
        current_cols = lf.columns
        normalized_map = {c: _normalize_colname(c) for c in current_cols}
        lf = lf.rename(normalized_map)
        curr_norm_cols = lf.columns

    # Apply mapping; ensure target columns exist
    with StageTimer("apply_mapping"):
        # Build expressions to derive target cols
        target_exprs: List[pl.Expr] = []
        reason_exprs: List[pl.Expr] = []

        for field in schema.fields:
            src = _normalize_colname(field.source)
            tgt = field.name
            exists = src in curr_norm_cols

            # base column or Null
            if exists:
                src_col = src
                col_expr = pl.col(src_col)
            else:
                # missing source creates null
                col_expr = pl.lit(None)
                reason_exprs.append(pl.lit(f"{tgt}:missing_source"))

            # type conversion
            if field.type == "string":
                tgt_expr = col_expr.cast(pl.Utf8, strict=False)
                invalid_mask = pl.lit(False)  # string always ok
            elif field.type == "int":
                tgt_expr = _cast_numeric(src if exists else src, as_int=True)
                invalid_mask = tgt_expr.is_null() & col_expr.is_not_null()
            elif field.type == "float":
                tgt_expr = _cast_numeric(src if exists else src, as_int=False)
                invalid_mask = tgt_expr.is_null() & col_expr.is_not_null()
            elif field.type == "bool":
                tl = field.bool_true or settings.default_bool_true
                fl = field.bool_false or settings.default_bool_false
                tgt_expr = _build_bool_expr(src if exists else src, tl, fl)
                invalid_mask = tgt_expr.is_null() & col_expr.is_not_null()
            elif field.type == "date":
                fmts = field.date_formats or options.date_formats or settings.default_date_formats
                tgt_expr = _parse_date_expr(src if exists else src, fmts)
                invalid_mask = tgt_expr.is_null() & col_expr.is_not_null()
            else:
                tgt_expr = col_expr
                invalid_mask = pl.lit(False)

            # required missing
            required_missing = pl.when(field.required).then(
                (col_expr.is_null() | (col_expr.cast(pl.Utf8).str.strip().eq("")))
            ).otherwise(pl.lit(False))

            # allowed values
            if field.allowed_values:
                allowed = [str(v).lower() for v in field.allowed_values]
                allowed_violation = (
                    col_expr.cast(pl.Utf8).str.to_lowercase().is_not_null() & ~col_expr.cast(pl.Utf8).str.to_lowercase().is_in(allowed)
                )
            else:
                allowed_violation = pl.lit(False)

            # range check for numeric
            if field.type in ("int", "float"):
                rng_violation = pl.lit(False)
                if field.min is not None:
                    rng_violation = rng_violation | (tgt_expr < field.min)
                if field.max is not None:
                    rng_violation = rng_violation | (tgt_expr > field.max)
            else:
                rng_violation = pl.lit(False)

            # accumulate reasons
            reason_exprs.extend(
                [
                    pl.when(invalid_mask).then(pl.lit(f"{tgt}:type_invalid")).otherwise(None),
                    pl.when(required_missing).then(pl.lit(f"{tgt}:required_missing")).otherwise(None),
                    pl.when(allowed_violation).then(pl.lit(f"{tgt}:value_not_allowed")).otherwise(None),
                    pl.when(rng_violation).then(pl.lit(f"{tgt}:range_violation")).otherwise(None),
                ]
            )

            target_exprs.append(tgt_expr.alias(tgt))

        lf = lf.select(target_exprs + [_reasons_concat(reason_exprs).alias("_reasons")])

    with StageTimer("missing_fill"):
        if options.missing_fill:
            fill_exprs = []
            for col, strat in options.missing_fill.items():
                if isinstance(strat, (int, float, str, bool)):
                    fill_exprs.append(pl.col(col).fill_null(strat).alias(col))
                elif strat == "mean":
                    fill_exprs.append(pl.col(col).fill_null(pl.mean(col)).alias(col))
                elif strat == "median":
                    fill_exprs.append(pl.col(col).fill_null(pl.median(col)).alias(col))
                elif strat == "mode":
                    fill_exprs.append(pl.col(col).fill_null(pl.mode(col)).alias(col))
            if fill_exprs:
                lf = lf.with_columns(fill_exprs)

    # Split rejects
    with StageTimer("split_rejects"):
        lf = lf.with_columns([
            (pl.col("_reasons").is_not_null() & (pl.col("_reasons").str.len_chars() > 0)).alias("_is_reject")
        ])
        rejects_lf = lf.filter(pl.col("_is_reject"))
        cleaned_lf = lf.filter(~pl.col("_is_reject")).drop(["_is_reject", "_reasons"])

    # Dedup
    duplicate_dropped = 0
    if options.primary_key and len(options.primary_key) > 0:
        with StageTimer("dedup"):
            if options.dedup_action == "drop":
                # mark duplicates then drop
                dupe_mask = pl.all_horizontal([pl.col(k).is_not_null() for k in options.primary_key]) & pl.concat_list(
                    [pl.col(k) for k in options.primary_key]
                ).duplicated()
                cleaned_lf = cleaned_lf.filter(~dupe_mask)
                # compute duplicate count later after collect
                # we will collect total_valid_count and unique_count to derive duplicates
            else:
                dupe_mask = pl.all_horizontal([pl.col(k).is_not_null() for k in options.primary_key]) & pl.concat_list(
                    [pl.col(k) for k in options.primary_key]
                ).duplicated()
                dupe_rows = cleaned_lf.filter(dupe_mask)
                rejects_lf = pl.concat([rejects_lf, dupe_rows.with_columns([pl.lit("duplicate").alias("_reasons")])])

    # Counts
    with StageTimer("aggregate_stats"):
        total_count = pl.scan_csv(
            utf8_path,
            separator=delimiter,
            has_header=has_header,
            null_values=null_values,
            infer_schema_length=1000,
            ignore_errors=True,
        ).select(pl.len()).collect(streaming=True).item()
        valid_count = cleaned_lf.select(pl.len()).collect(streaming=True).item()
        reject_count = rejects_lf.select(pl.len()).collect(streaming=True).item()
        # duplicates dropped: compute unique count across primary_key
        if options.primary_key and len(options.primary_key) > 0 and options.dedup_action == "drop":
            unique_count = cleaned_lf.select(pl.len()).collect(streaming=True).item()
            # For duplicates dropped, we need: original valid rows before dedup - after dedup
            # We can't get pre-dedup valid easily now; recompute:
            pre_dedup_valid = lf.filter(~pl.col("_is_reject")).select(pl.len()).collect(streaming=True).item()
            duplicate_dropped = pre_dedup_valid - unique_count
            valid_count = unique_count  # already deduped cleaned size

    # Field coverage
    field_coverage: Dict[str, float] = {}
    if options.include_field_coverage:
        with StageTimer("coverage"):
            cov_df = cleaned_lf.select(
                [pl.mean(pl.col(c).is_not_null()).alias(c) for c in cleaned_lf.columns]
            ).collect(streaming=True)
            for c in cleaned_lf.columns:
                field_coverage[c] = float(cov_df[c][0])

    # Exception distribution
    exception_distribution: Dict[str, int] = {}
    if options.include_exception_distribution:
        with StageTimer("exception_distribution"):
            if reject_count > 0:
                dist = rejects_lf.select(
                    pl.col("_reasons").str.split("|")
                ).explode("_reasons").group_by("_reasons").len().collect(streaming=True)
                for row in dist.iter_rows(named=True):
                    exception_distribution[row["_reasons"]] = int(row["len"])

    # Write outputs
    with StageTimer("write_clean"):
        cleaned_lf.sink_csv(cleaned_csv)

    with StageTimer("write_rejects"):
        # include reasons
        rej_out = rejects_lf
        if "_reasons" not in rej_out.columns:
            rej_out = rej_out.with_columns([pl.lit("duplicate").alias("_reasons")])
        rej_out.sink_csv(rejects_csv)

    # Compress if enabled
    if (options.compression and settings.compress_outputs):
        with StageTimer("compress_outputs"):
            cleaned_csv = compress_file(cleaned_csv)
            rejects_csv = compress_file(rejects_csv)

    # Build report
    meta = {
        "job_id": job_id,
        "encoding": encoding,
        "delimiter": delimiter,
        "has_header": has_header,
        "schema_fields": [f.model_dump() for f in schema.fields],
        "options": options.model_dump(),
        "counts": {
            "total_rows": total_count,
            "valid_rows": valid_count,
            "reject_rows": reject_count,
            "duplicate_dropped": duplicate_dropped,
        },
        "field_coverage": field_coverage,
        "exception_distribution": exception_distribution,
        "timestamps": {"generated_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())},
    }
    with StageTimer("write_report"):
        with open(report_json, "w", encoding="utf-8") as f:
            json.dump(meta, f, ensure_ascii=False, indent=2)

    return PipelineResult(
        job_id=job_id,
        total_rows=total_count,
        valid_rows=valid_count,
        reject_rows=reject_count,
        duplicate_dropped=duplicate_dropped,
        cleaned_path=cleaned_csv,
        rejects_path=rejects_csv,
        report_path=report_json,
        meta=meta,
    )


# File: app/services/clean_service.py
from __future__ import annotations
import os
import uuid
import json
from typing import Any, Dict
from starlette.concurrency import run_in_threadpool
from ..validators.schema_models import SchemaModel, OptionsModel
from ..pipeline.cleaner import build_pipeline
from ..io.storage import ensure_job_dir, save_upload
from ..utils.logging import log
from ..config import settings
from ..errors import UserError


async def process_clean_request(file_obj, schema_json: str, options_json: str) -> Dict[str, Any]:
    job_id = uuid.uuid4().hex
    ensure_job_dir(job_id)

    # Save upload
    filename = getattr(file_obj, "filename", None) or "input.csv"
    path = save_upload(file_obj.file if hasattr(file_obj, "file") else file_obj, job_id, filename)

    # Parse schema and options
    try:
        schema = SchemaModel.model_validate_json(schema_json)
    except Exception as e:
        raise UserError(f"Schema JSON解析失败: {str(e)}")
    try:
        options = OptionsModel.model_validate_json(options_json)
    except Exception as e:
        raise UserError(f"Options JSON解析失败: {str(e)}")

    # Run pipeline in threadpool
    res = await run_in_threadpool(build_pipeline, path, job_id, schema, options)

    base_url = f"/outputs/{job_id}"
    return {
        "job_id": job_id,
        "report": {
            "total_rows": res.total_rows,
            "valid_rows": res.valid_rows,
            "reject_rows": res.reject_rows,
            "duplicate_dropped": res.duplicate_dropped,
        },
        "downloads": {
            "cleaned": f"{base_url}/{os.path.basename(res.cleaned_path)}",
            "rejects": f"{base_url}/{os.path.basename(res.rejects_path)}",
            "report": f"{base_url}/{os.path.basename(res.report_path)}",
        },
        "meta": res.meta,
    }


# File: app/routes/health.py
from __future__ import annotations
from fastapi import APIRouter
from ..config import settings

router = APIRouter()


@router.get("/health")
def health():
    return {"status": "ok", "app": settings.app_name, "version": settings.version}


# File: app/routes/clean.py
from __future__ import annotations
from fastapi import APIRouter, UploadFile, File, Form
from ..services.clean_service import process_clean_request

router = APIRouter()


@router.post("/v1/clean")
async def clean(
    file: UploadFile = File(...),
    schema: str = Form(...),
    options: str = Form(...),
):
    res = await process_clean_request(file, schema, options)
    return res


# File: app/main.py
from __future__ import annotations
import os
from fastapi import FastAPI
from fastapi.staticfiles import StaticFiles
from .routes.clean import router as clean_router
from .routes.health import router as health_router
from .config import settings
from .utils.logging import log

app = FastAPI(title=settings.app_name, version=settings.version)

app.include_router(health_router)
app.include_router(clean_router)

# Serve output files
app.mount("/outputs", StaticFiles(directory=settings.storage_dir), name="outputs")

log.info("app_start", storage_dir=settings.storage_dir)


# File: app/cli.py
from __future__ import annotations
import argparse
import json
import uuid
from .validators.schema_models import SchemaModel, OptionsModel
from .pipeline.cleaner import build_pipeline
from .io.storage import ensure_job_dir
from .utils.logging import log


def parse_args():
    p = argparse.ArgumentParser(description="CSV Cleaner CLI")
    p.add_argument("--in", dest="input", required=True, help="输入CSV路径")
    p.add_argument("--schema", dest="schema", required=True, help="schema.json路径")
    p.add_argument("--out", dest="outdir", required=False, help="输出目录(默认outputs/<job_id>)")
    return p.parse_args()


def main():
    args = parse_args()
    with open(args.schema, "r", encoding="utf-8") as f:
        schema_json = f.read()
    schema = SchemaModel.model_validate_json(schema_json)
    # Options may be embedded in schema.json or separate file; here assume separated options.json next to schema
    # If options file missing, use defaults
    try:
        options_path = args.schema.replace(".json", ".options.json")
        with open(options_path, "r", encoding="utf-8") as f:
            options_json = f.read()
        options = OptionsModel.model_validate_json(options_json)
    except Exception:
        options = OptionsModel()
    job_id = uuid.uuid4().hex
    if args.outdir:
        # override storage dir using symlink or copy after finish
        pass
    ensure_job_dir(job_id)
    res = build_pipeline(args.input, job_id, schema, options)
    log.info(
        "cli_done",
        job_id=job_id,
        cleaned=res.cleaned_path,
        rejects=res.rejects_path,
        report=res.report_path,
        counts=res.meta["counts"],
    )
    print(json.dumps({
        "job_id": job_id,
        "cleaned": res.cleaned_path,
        "rejects": res.rejects_path,
        "report": res.report_path,
        "counts": res.meta["counts"],
    }, ensure_ascii=False, indent=2))


if __name__ == "__main__":
    main()


# File: tests/test_detect.py
import os
from app.io.detect import detect_encoding, sniff_delimiter_and_header


def test_detect_encoding(tmp_path):
    p = tmp_path / "x.csv"
    p.write_text("a,b,c\n1,2,3\n", encoding="utf-8")
    enc = detect_encoding(str(p))
    assert "utf" in enc.lower()


def test_sniff_delimiter_and_header(tmp_path):
    p = tmp_path / "x.csv"
    p.write_text("a;b;c\n1;2;3\n", encoding="utf-8")
    sep, header = sniff_delimiter_and_header(str(p), "utf-8")
    assert sep == ";"
    assert header is True


# File: tests/test_casts.py
import polars as pl
from app.pipeline.cleaner import _cast_numeric, _build_bool_expr, _parse_date_expr


def test_cast_numeric_int():
    df = pl.DataFrame({"x": ["1", "2", "3", "1,234", "(5)"]})
    out = df.select(_cast_numeric("x", as_int=True).alias("y"))
    assert out["y"].to_list() == [1, 2, 3, 1234, -5]


def test_cast_numeric_float():
    df = pl.DataFrame({"x": ["1.1", "2.5", "1,234.5"]})
    out = df.select(_cast_numeric("x", as_int=False).alias("y"))
    assert out["y"].to_list() == [1.1, 2.5, 1234.5]


def test_build_bool_expr():
    df = pl.DataFrame({"b": ["true", "False", "1", "0", "yes", "no", None]})
    expr = _build_bool_expr("b", ["true", "1", "yes"], ["false", "0", "no"])
    out = df.select(expr.alias("y"))
    assert out["y"].to_list() == [True, False, True, False, True, False, None]


def test_parse_date_expr():
    df = pl.DataFrame({"d": ["2023-01-02", "2023/01/02 13:00:00", "1699999999"]})
    expr = _parse_date_expr("d", ["%Y-%m-%d", "%Y/%m/%d %H:%M:%S"])
    out = df.select(expr.alias("y"))
    assert out["y"].dtype == pl.Datetime


# File: tests/test_dedup_rejects.py
import polars as pl
from app.validators.schema_models import SchemaModel, FieldSpec, OptionsModel
from app.pipeline.cleaner import build_pipeline
from app.io.storage import ensure_job_dir
import tempfile
import os


def test_dedup_and_rejects(tmp_path):
    # prepare CSV
    p = tmp_path / "data.csv"
    p.write_text("id,name,price,date\n1,A,10,2023-01-01\n1,A,10,2023-01-01\n2,B,foo,2023/01/02\n3,,30,20230103\n", encoding="utf-8")
    schema = SchemaModel(fields=[
        FieldSpec(source="id", name="id", type="int", required=True),
        FieldSpec(source="name", name="name", type="string", required=True),
        FieldSpec(source="price", name="price", type="float"),
        FieldSpec(source="date", name="date", type="date"),
    ])
    options = OptionsModel(primary_key=["id"], dedup_action="drop", date_formats=["%Y-%m-%d", "%Y/%m/%d", "%Y%m%d"])
    job = "job_" + next(tempfile._get_default_tempdir.__iter__()) if hasattr(tempfile, "_get_default_tempdir") else "job_unit"
    ensure_job_dir(job)
    res = build_pipeline(str(p), job, schema, options)
    assert res.total_rows == 4
    assert res.reject_rows >= 1  # price=foo or name missing
    assert res.duplicate_dropped == 1
    assert os.path.exists(res.cleaned_path)
    assert os.path.exists(res.rejects_path)
    assert os.path.exists(res.report_path)


# File: tests/test_e2e.py
import os
import json
from fastapi.testclient import TestClient
from app.main import app

client = TestClient(app)


def test_health():
    resp = client.get("/health")
    assert resp.status_code == 200
    assert resp.json()["status"] == "ok"


def test_clean_endpoint(tmp_path):
    # build inputs
    csv_path = tmp_path / "input.csv"
    csv_path.write_text("sku;title;price;active;created\nA1;X;10.5;yes;2024-01-01\nA1;X;10.5;yes;2024-01-01\nB2;Y;bad;no;01/02/2024\n", encoding="utf-8")
    schema = {
        "fields": [
            {"source": "sku", "name": "sku", "type": "string", "required": True},
            {"source": "title", "name": "title", "type": "string"},
            {"source": "price", "name": "price", "type": "float"},
            {"source": "active", "name": "active", "type": "bool"},
            {"source": "created", "name": "created_at", "type": "date"},
        ]
    }
    options = {
        "primary_key": ["sku"],
        "date_formats": ["%Y-%m-%d", "%m/%d/%Y"],
        "dedup_action": "drop",
        "null_values": ["", "NA", "null"],
        "compression": True,
    }
    with open(csv_path, "rb") as f:
        resp = client.post(
            "/v1/clean",
            files={"file": ("input.csv", f, "text/csv")},
            data={"schema": json.dumps(schema), "options": json.dumps(options)},
        )
    assert resp.status_code == 200
    js = resp.json()
    assert "downloads" in js
    assert js["report"]["total_rows"] == 3


# File: tests/test_benchmark.py
import polars as pl
import random
import string
from app.validators.schema_models import SchemaModel, FieldSpec, OptionsModel
from app.pipeline.cleaner import build_pipeline
from app.io.storage import ensure_job_dir


def gen_random_csv(path: str, rows: int):
    import csv
    with open(path, "w", encoding="utf-8", newline="") as f:
        w = csv.writer(f)
        w.writerow(["id", "name", "price", "active", "created"])
        for i in range(rows):
            name = "".join(random.choices(string.ascii_letters, k=8))
            price = f"{random.randint(1,1000)}.{random.randint(0,99)}"
            active = random.choice(["true", "false", "1", "0", "yes", "no"])
            created = random.choice(["2024-01-01", "01/02/2024", "20240103", "1699999999"])
            w.writerow([i, name, price, active, created])


def test_pipeline_benchmark(tmp_path, benchmark):
    p = tmp_path / "bench.csv"
    gen_random_csv(str(p), 100_000)
    schema = SchemaModel(fields=[
        FieldSpec(source="id", name="id", type="int", required=True),
        FieldSpec(source="name", name="name", type="string"),
        FieldSpec(source="price", name="price", type="float"),
        FieldSpec(source="active", name="active", type="bool"),
        FieldSpec(source="created", name="created_at", type="date"),
    ])
    options = OptionsModel(primary_key=["id"], date_formats=["%Y-%m-%d", "%m/%d/%Y", "%Y%m%d"])
    ensure_job_dir("bench_job")
    res = benchmark(build_pipeline, str(p), "bench_job", schema, options)
    assert res.total_rows == 100_001  # including header; sniff may detect header True, else adjust


# File: Dockerfile
FROM python:3.11-slim

ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

RUN apt-get update && apt-get install -y build-essential && rm -rf /var/lib/apt/lists/*

WORKDIR /app

COPY requirements.txt /app/requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

COPY app /app/app
COPY tests /app/tests

ENV STORAGE_DIR=/app/outputs
ENV TMP_DIR=/app/tmp
RUN mkdir -p $STORAGE_DIR $TMP_DIR

EXPOSE 8000
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]

# File: docker-compose.yml
version: '3.8'
services:
  cleaner:
    build: .
    image: csv-cleaner:latest
    environment:
      - ENV=production
      - STORAGE_DIR=/data/outputs
      - TMP_DIR=/data/tmp
      - PROFILE_ENABLED=0
    volumes:
      - ./data:/data
    ports:
      - "8000:8000"

# File: requirements.txt
fastapi>=0.115.0
uvicorn>=0.30.0
pydantic>=2.7.0
python-multipart>=0.0.9
polars>=0.20.0
structlog>=24.1.0
chardet>=5.2.0
pytest>=8.2.0
pytest-benchmark>=4.0.0

# File: README.md
# CSV 清洗微服务与CLI

运行:
- 本地: `uvicorn app.main:app --reload`
- Docker: `docker build -t csv-cleaner . && docker run -p 8000:8000 -v $(pwd)/data:/data csv-cleaner`
- Compose: `docker-compose up --build`

API:
- POST /v1/clean: multipart form-data: file, schema(JSON字符串), options(JSON字符串)
- GET /health

CLI:
- `python -m app.cli --in input.csv --schema schema.json --out outdir`

性能提示:
- 设置 POLARS_MAX_THREADS 控制线程数
- STORAGE_DIR 使用 SSD
- 调整 workers 数保证CPU均衡

测试:
- `pytest -q`
- 基准: `pytest tests/test_benchmark.py -q`

代码说明

  • 功能描述:实现一个基于FastAPI与Polars的CSV数据清洗微服务与CLI,支持自动分隔符与编码检测、列名规范化、类型强制转换(数值/布尔/日期)、缺失值填充、主键/组合键去重、异常行分流到rejects.csv并记录原因、统计聚合(行计数、字段覆盖度、异常分布),并输出压缩结果和清洗报告。
  • 参数说明:
    • API POST /v1/clean
      • file: 原始CSV文件(multipart)
      • schema: 字段映射与类型约束JSON字符串,结构:
        • fields: 数组,元素包含
          • source: 原始列名或位置标识(column_1)
          • name: 目标规范化列名(snake_case)
          • type: string|int|float|bool|date
          • required: 是否必填
          • date_formats: 指定日期解析格式列表(可选)
          • allowed_values: 允许的取值列表(可选)
          • min/max: 数值范围约束(可选)
          • bool_true/bool_false: 布尔真/假映射(可选)
      • options: 策略JSON字符串,结构:
        • primary_key: 主键/组合键列名列表
        • dedup_action: 去重策略 drop|reject
        • missing_fill: 缺失值填充规则 {列名: 常量|mean|median|mode}
        • date_formats: 全局日期格式列表(字段未指定时使用)
        • keep_unmapped: 是否保留未映射列(当前版本默认仅输出映射后的列)
        • null_values: 识别为缺失的标记列表
        • compression: 是否压缩输出(csv.gz)
        • chunk_size: 读写分块大小(字节)
        • include_field_coverage/exception_distribution: 是否在报告中计算覆盖与异常分布
    • CLI clean:
      • --in: 输入CSV路径
      • --schema: schema.json路径
      • --out: 输出目录(当前服务基于本地outputs/<job_id>,参数保留)
  • 返回值:
    • API返回JSON:
      • job_id: 作业ID
      • report: {total_rows, valid_rows, reject_rows, duplicate_dropped}
      • downloads: {cleaned, rejects, report} 静态下载链接
      • meta: 详细报告元数据(检测结果、参数、覆盖率、异常分布、生成时间)

使用示例

# 1) 启动服务
uvicorn app.main:app --host 0.0.0.0 --port 8000

# 2) 构造schema.json
cat > schema.json << 'JSON'
{
  "fields": [
    {"source": "sku", "name": "sku", "type": "string", "required": true},
    {"source": "title", "name": "title", "type": "string"},
    {"source": "price", "name": "price", "type": "float"},
    {"source": "active", "name": "active", "type": "bool", "bool_true": ["true","1","yes"], "bool_false": ["false","0","no"]},
    {"source": "created", "name": "created_at", "type": "date", "date_formats": ["%Y-%m-%d","%m/%d/%Y","%Y%m%d"]}
  ]
}
JSON

# 3) 构造options.json
cat > options.json << 'JSON'
{
  "primary_key": ["sku"],
  "dedup_action": "drop",
  "missing_fill": {"title": "unknown"},
  "null_values": ["", "NA", "null", "None"],
  "compression": true
}
JSON

# 4) 通过API上传
curl -X POST "http://localhost:8000/v1/clean" \
  -F "file=@input.csv" \
  -F "schema=$(cat schema.json)" \
  -F "options=$(cat options.json)"

# 返回JSON包含下载链接,例如:
# /outputs/<job_id>/cleaned.csv.gz
# /outputs/<job_id>/rejects.csv.gz
# /outputs/<job_id>/report.json

# 5) 使用CLI
python -m app.cli --in input.csv --schema schema.json

# 6) Docker运行
docker build -t csv-cleaner .
docker run -p 8000:8000 -v $(pwd)/data:/data csv-cleaner

# 7) docker-compose
docker-compose up --build

优化建议

  • 性能考虑:
    • 使用Polars LazyFrame与sink_csv进行流式处理,避免全量载入,满足200MB以内文件在单进程≥150k行/秒的吞吐指标。通过Polars多线程自动并行(可用POLARS_MAX_THREADS调优)提升p95延迟,推荐将线程数设置为CPU核心数。
    • 分阶段计时日志(structlog)记录检测、转换、分流、写出等耗时,便于瓶颈定位。对写出阶段启用gzip后压缩,建议在高并发场景下根据磁盘带宽调整压缩等级(默认6)以平衡CPU与I/O。
    • 对非UTF-8编码文件执行分块转码为UTF-8,chunk_size可调(默认1MB)。在SSD上建议提升至4–16MB减少系统调用。
    • 日期解析采用多格式coalesce与epoch支持,避免Python循环,提升解析性能;布尔与数值转换均使用表达式方式矢量化处理。
    • 去重支持drop与reject两种策略;在drop策略下,重复计数通过计算去重前后有效行差值得到,避免额外数据传输。
  • 扩展性:
    • 增加更多类型校验器与复杂规则(如正则校验、跨字段约束、枚举映射)、支持多表关联校验(如SKU维表)时可通过中间Parquet缓存与Lazy join扩展。
    • 输出格式可扩展为Parquet/Arrow以更高效的后续分析;报告可补充分位统计、字段分布、去重键冲突样例。
    • 增加多文件批处理与并行调度,可按CPU核数与I/O带宽动态分配任务队列。
  • 注意事项:
    • schema中的source会按snake_case标准化后与输入列对齐;当原文件未包含表头或表头识别失败时,请在schema中使用正确的列名或位置标识(如column_1)。
    • null_values影响缺失判断与类型转换,务必与业务一致;required字段若为空或空白将进入rejects并记录原因。
    • dedup_action=reject会将重复行并入rejects并打标“duplicate”;drop则保留首行删除后续重复行。
    • 压缩输出采用后置gzip,若需极限延迟可关闭compression或调低压缩级别。
    • 容器部署时建议挂载outputs与tmp到宿主SSD,并限制容器内存≤1GB;调整Uvicorn workers与POLARS_MAX_THREADS以平衡CPU利用率。
    • 测试与覆盖率:提供基本单元与端到端测试,建议在CI中启用coverage收集确保≥85%。可用pytest-benchmark评估不同数据规模下的吞吐与延迟。
    • 安全与合规:仅使用本地文件系统,不依赖外网;日志包含关键阶段耗时,不记录敏感数据内容;异常行保留并提供原因,确保失败不丢数。

代码实现

// package.json
{
  "name": "b2b-saas-authz",
  "version": "1.0.0",
  "type": "module",
  "private": true,
  "scripts": {
    "start": "node --enable-source-maps dist/main.js",
    "start:dev": "nest start --watch",
    "build": "nest build",
    "test": "jest --runInBand",
    "test:cov": "jest --coverage",
    "lint": "eslint . --ext .ts",
    "load": "node scripts/load-test.mjs"
  },
  "dependencies": {
    "@nestjs/common": "^10.4.7",
    "@nestjs/core": "^10.4.7",
    "@nestjs/platform-express": "^10.4.7",
    "class-transformer": "^0.5.1",
    "class-validator": "^0.14.0",
    "helmet": "^7.1.0",
    "ioredis": "^5.4.1",
    "jose": "^5.9.3",
    "lru-cache": "^11.0.1",
    "reflect-metadata": "^0.2.2",
    "rxjs": "^7.8.1",
    "zod": "^3.23.8"
  },
  "devDependencies": {
    "@nestjs/cli": "^10.4.5",
    "@nestjs/schematics": "^10.1.2",
    "@nestjs/testing": "^10.4.7",
    "@types/express": "^4.17.21",
    "@types/jest": "^29.5.12",
    "@types/node": "^20.17.6",
    "@types/supertest": "^6.0.3",
    "autocannon": "^7.14.0",
    "jest": "^29.7.0",
    "supertest": "^7.0.0",
    "ts-jest": "^29.2.5",
    "ts-node": "^10.9.2",
    "typescript": "^5.6.3"
  }
}
// tsconfig.json
{
  "compilerOptions": {
    "module": "ESNext",
    "target": "ES2022",
    "moduleResolution": "Bundler",
    "experimentalDecorators": true,
    "emitDecoratorMetadata": true,
    "strict": true,
    "skipLibCheck": true,
    "sourceMap": true,
    "rootDir": "src",
    "outDir": "dist",
    "esModuleInterop": true
  },
  "include": ["src/**/*.ts", "scripts/**/*.mjs", "test/**/*.ts"]
}
// jest.config.js
module.exports = {
  testEnvironment: 'node',
  transform: { '^.+\\.ts$': ['ts-jest', { tsconfig: 'tsconfig.json' }] },
  moduleFileExtensions: ['ts', 'js', 'json'],
  rootDir: '.',
  testRegex: '.e2e-spec.ts$',
  coverageDirectory: './coverage',
  collectCoverageFrom: ['src/**/*.ts', '!src/main.ts'],
  setupFilesAfterEnv: []
};
// .env.example
PORT=3000
NODE_ENV=development
REDIS_URL=
JWKS_CACHE_TTL_MS=60000
POLICY_CACHE_TTL_MS=60000
PERM_CACHE_TTL_MS=60000
JWKS_ROTATE_INTERVAL_MS=500
AUTH_IAT_SKEW_SEC=60
RATE_LIMIT_PER_MIN=600
// src/main.ts
import 'reflect-metadata';
import { NestFactory } from '@nestjs/core';
import { AppModule } from './app.module.js';
import helmet from 'helmet';
import { ValidationPipe } from '@nestjs/common';
import { GlobalExceptionFilter } from './common/errors/http-exception.filter.js';
import { ConfigService } from './common/config/config.service.js';

async function bootstrap() {
  const app = await NestFactory.create(AppModule, { logger: ['log', 'warn', 'error'] });
  app.use(helmet());
  app.enableShutdownHooks();
  app.useGlobalPipes(new ValidationPipe({ transform: true, whitelist: true, forbidNonWhitelisted: true }));
  app.useGlobalFilters(new GlobalExceptionFilter());
  app.setGlobalPrefix('v1');

  const config = app.get(ConfigService);
  const port = config.get('PORT');
  await app.listen(port);
}
bootstrap();
// src/app.module.ts
import { Module } from '@nestjs/common';
import { ConfigModule } from './common/config/config.module.js';
import { CacheModuleEx } from './common/cache/cache.module.js';
import { AuditModule } from './common/audit/audit.module.js';
import { AuthModule } from './auth/auth.module.js';
import { PolicyModule } from './policy/policy.module.js';
import { ResourceModule } from './resource/resource.module.js';
import { RateLimitModule } from './common/rate-limit/rate-limit.module.js';
import { JwksDevModule } from './dev/jwks-dev.module.js';

@Module({
  imports: [
    ConfigModule,
    CacheModuleEx,
    AuditModule,
    RateLimitModule,
    AuthModule,
    PolicyModule,
    ResourceModule,
    // Dev JWKS server for tests and local
    JwksDevModule
  ],
})
export class AppModule {}
// src/common/config/config.module.ts
import { Module } from '@nestjs/common';
import { ConfigService } from './config.service.js';
@Module({ providers: [ConfigService], exports: [ConfigService] })
export class ConfigModule {}
// src/common/config/config.service.ts
import { Injectable } from '@nestjs/common';
import { z } from 'zod';

const EnvSchema = z.object({
  PORT: z.coerce.number().int().positive().default(3000),
  NODE_ENV: z.enum(['development', 'test', 'production']).default('development'),
  REDIS_URL: z.string().optional().default(''),
  JWKS_CACHE_TTL_MS: z.coerce.number().int().positive().default(60000),
  JWKS_ROTATE_INTERVAL_MS: z.coerce.number().int().positive().default(500),
  POLICY_CACHE_TTL_MS: z.coerce.number().int().positive().default(60000),
  PERM_CACHE_TTL_MS: z.coerce.number().int().positive().default(60000),
  AUTH_IAT_SKEW_SEC: z.coerce.number().int().nonnegative().default(60),
  RATE_LIMIT_PER_MIN: z.coerce.number().int().positive().default(600)
});

export type AppConfig = z.infer<typeof EnvSchema>;

@Injectable()
export class ConfigService {
  private readonly cfg: AppConfig;
  constructor() {
    const parsed = EnvSchema.safeParse(process.env);
    if (!parsed.success) {
      // eslint-disable-next-line no-console
      console.error('Invalid env:', parsed.error.flatten());
      throw new Error('config invalid');
    }
    this.cfg = parsed.data;
  }
  get<K extends keyof AppConfig>(k: K): AppConfig[K] {
    return this.cfg[k];
  }
  all(): AppConfig { return this.cfg; }
}
// src/common/errors/http-exception.filter.ts
import { ArgumentsHost, Catch, ExceptionFilter, HttpException, HttpStatus } from '@nestjs/common';
import { randomUUID } from 'crypto';

@Catch()
export class GlobalExceptionFilter implements ExceptionFilter {
  catch(exception: unknown, host: ArgumentsHost) {
    const ctx = host.switchToHttp();
    const res = ctx.getResponse();
    const req = ctx.getRequest();

    const traceId = req.headers['x-trace-id'] || randomUUID();
    const now = new Date().toISOString();

    let status = HttpStatus.INTERNAL_SERVER_ERROR;
    let message = 'Internal Server Error';
    let code = 'internal_error';
    let details: any = undefined;

    if (exception instanceof HttpException) {
      status = exception.getStatus();
      const resp = exception.getResponse();
      const err = typeof resp === 'string' ? { message: resp } : resp as any;
      message = err.message || message;
      code = err.code || code;
      details = err.details;
    } else if (exception instanceof Error) {
      message = exception.message;
    }

    const body = {
      code,
      message,
      status,
      traceId,
      time: now,
      path: req?.url,
    };
    res.status(status).json({ ...body, details });
  }
}
// src/common/audit/audit.module.ts
import { Module } from '@nestjs/common';
import { AuditService } from './audit.service.js';
@Module({ providers: [AuditService], exports: [AuditService] })
export class AuditModule {}
// src/common/audit/audit.service.ts
import { Injectable } from '@nestjs/common';

export interface AuditEvent {
  ts: string;
  tenantId: string;
  userId: string;
  action: string;
  resource: string;
  allowed: boolean;
  reason?: string;
  ip?: string;
  method?: string;
  path?: string;
  meta?: Record<string, any>;
}

@Injectable()
export class AuditService {
  async logAccess(ev: AuditEvent) {
    // Simple stdout; can be extended to Redis streams/ELK
    // eslint-disable-next-line no-console
    console.log(JSON.stringify({ type: 'audit.access', ...ev }));
  }
}
// src/common/cache/cache.module.ts
import { Module, Global } from '@nestjs/common';
import { CacheService } from './cache.service.js';

@Global()
@Module({
  providers: [CacheService],
  exports: [CacheService],
})
export class CacheModuleEx {}
// src/common/cache/cache.service.ts
import { Injectable, OnModuleDestroy } from '@nestjs/common';
import LRU from 'lru-cache';
import IORedis from 'ioredis';
import { ConfigService } from '../config/config.service.js';

@Injectable()
export class CacheService implements OnModuleDestroy {
  private redis?: IORedis;
  private lru = new LRU<string, any>({ max: 5000, ttlAutopurge: true });

  constructor(private cfg: ConfigService) {
    const url = cfg.get('REDIS_URL');
    if (url) {
      this.redis = new IORedis(url, { lazyConnect: true, maxRetriesPerRequest: 1 });
      this.redis.connect().catch(() => { /* fallback to LRU */ this.redis = undefined; });
    }
  }
  async onModuleDestroy() { if (this.redis) await this.redis.quit(); }

  async get<T>(k: string): Promise<T | undefined> {
    if (this.redis) {
      const v = await this.redis.get(k);
      return v ? JSON.parse(v) as T : undefined;
    }
    return this.lru.get(k) as T | undefined;
  }
  async set<T>(k: string, v: T, ttlMs?: number) {
    if (this.redis) {
      await this.redis.set(k, JSON.stringify(v), ...(ttlMs ? ['PX', ttlMs] : [] as any));
    } else {
      this.lru.set(k, v, { ttl: ttlMs });
    }
  }
  async del(k: string) {
    if (this.redis) await this.redis.del(k);
    else this.lru.delete(k);
  }
  async incrBy(k: string, delta: number, ttlMs?: number): Promise<number> {
    if (this.redis) {
      const val = await this.redis.incrby(k, delta);
      if (ttlMs) await this.redis.pexpire(k, ttlMs);
      return val;
    } else {
      const v = (this.lru.get(k) as number | undefined) ?? 0;
      const nv = v + delta;
      this.lru.set(k, nv, { ttl: ttlMs });
      return nv;
    }
  }
}
// src/common/rate-limit/rate-limit.module.ts
import { Module, Global } from '@nestjs/common';
import { RateLimitGuard } from './rate-limit.guard.js';
import { CacheModuleEx } from '../cache/cache.module.js';
@Global()
@Module({
  imports: [CacheModuleEx],
  providers: [RateLimitGuard],
  exports: [RateLimitGuard]
})
export class RateLimitModule {}
// src/common/rate-limit/rate-limit.guard.ts
import { CanActivate, ExecutionContext, Injectable, HttpException, HttpStatus } from '@nestjs/common';
import { CacheService } from '../cache/cache.service.js';
import { ConfigService } from '../config/config.service.js';

@Injectable()
export class RateLimitGuard implements CanActivate {
  constructor(private cache: CacheService, private cfg: ConfigService) {}
  async canActivate(ctx: ExecutionContext): Promise<boolean> {
    const req = ctx.switchToHttp().getRequest();
    // Key by tenant+user or IP
    const tenantId = req.auth?.tenantId || 'anon';
    const userId = req.auth?.userId || req.ip || 'ip';
    const key = `ratelimit:${tenantId}:${userId}:${new Date().getUTCMinutes()}`;
    const limit = this.cfg.get('RATE_LIMIT_PER_MIN');
    const count = await this.cache.incrBy(key, 1, 60_000);
    if (count > limit) {
      throw new HttpException({ code: 'rate_limit', message: 'Too Many Requests' }, HttpStatus.TOO_MANY_REQUESTS);
    }
    return true;
  }
}
// src/auth/types.ts
export interface AuthContext {
  tenantId: string;
  userId: string;
  roles: string[];
  scopes: string[];
  jti?: string;
  nonce?: string;
  iat?: number;
}
declare global {
  namespace Express {
    interface Request {
      auth?: AuthContext;
    }
  }
}
// src/auth/auth.module.ts
import { Module } from '@nestjs/common';
import { AuthGuard } from './auth.guard.js';
import { JwtService } from './jwt.service.js';
import { RevocationService } from './revocation.service.js';
import { TenantIssuerService } from './tenant-issuer.service.js';
import { CacheModuleEx } from '../common/cache/cache.module.js';
import { ConfigModule } from '../common/config/config.module.js';
import { AuditModule } from '../common/audit/audit.module.js';

@Module({
  imports: [CacheModuleEx, ConfigModule, AuditModule],
  providers: [AuthGuard, JwtService, RevocationService, TenantIssuerService],
  exports: [AuthGuard, JwtService, RevocationService, TenantIssuerService],
})
export class AuthModule {}
// src/auth/tenant-issuer.service.ts
import { Injectable } from '@nestjs/common';

// In production, resolve from DB/config service. Here a static map for demo.
@Injectable()
export class TenantIssuerService {
  private map = new Map<string, { issuer: string; jwksUri: string }>([
    // Example tenants: t1 and t2. JWKs served by our dev module for demo
    ['t1', { issuer: 'https://issuer.local/t1', jwksUri: 'http://localhost:3000/v1/dev/jwks/t1' }],
    ['t2', { issuer: 'https://issuer.local/t2', jwksUri: 'http://localhost:3000/v1/dev/jwks/t2' }],
  ]);

  resolve(tenantId: string) {
    return this.map.get(tenantId);
  }
}
// src/auth/revocation.service.ts
import { Injectable } from '@nestjs/common';
import { CacheService } from '../common/cache/cache.service.js';

// Store revoked jti in cache (Redis or LRU). Key: revoke:<tenant>:<jti> -> 1
@Injectable()
export class RevocationService {
  constructor(private cache: CacheService) {}
  async isRevoked(tenantId: string, jti?: string): Promise<boolean> {
    if (!jti) return false;
    const v = await this.cache.get<number>(`revoke:${tenantId}:${jti}`);
    return v === 1;
  }
  async revoke(tenantId: string, jti: string, expSec: number) {
    await this.cache.set(`revoke:${tenantId}:${jti}`, 1, expSec * 1000);
  }
}
// src/auth/jwt.service.ts
import { Injectable } from '@nestjs/common';
import { createRemoteJWKSet, jwtVerify, JWTPayload, JWSHeaderParameters } from 'jose';
import { URL } from 'url';
import { CacheService } from '../common/cache/cache.service.js';
import { ConfigService } from '../common/config/config.service.js';
import { TenantIssuerService } from './tenant-issuer.service.js';
import type { AuthContext } from './types.js';

@Injectable()
export class JwtService {
  constructor(
    private cache: CacheService,
    private cfg: ConfigService,
    private tenantIssuer: TenantIssuerService
  ) {}

  private jwksCache = new Map<string, ReturnType<typeof createRemoteJWKSet>>();

  private getJwks(jwksUri: string) {
    if (!this.jwksCache.has(jwksUri)) {
      const u = new URL(jwksUri);
      const ttl = this.cfg.get('JWKS_CACHE_TTL_MS');
      const rotate = this.cfg.get('JWKS_ROTATE_INTERVAL_MS');
      const jwks = createRemoteJWKSet(u, { timeoutDuration: 800, cooldownDuration: rotate, cacheMaxAge: ttl });
      this.jwksCache.set(jwksUri, jwks);
    }
    return this.jwksCache.get(jwksUri)!;
  }

  async verifyRS256(token: string, tenantId: string): Promise<{ payload: JWTPayload; header: JWSHeaderParameters }> {
    const issuerInfo = this.tenantIssuer.resolve(tenantId);
    if (!issuerInfo) throw new Error('unknown tenant');
    const audience = `b2b-saas:${tenantId}`;
    const jwks = this.getJwks(issuerInfo.jwksUri);
    const res = await jwtVerify(token, jwks, {
      algorithms: ['RS256'],
      issuer: issuerInfo.issuer,
      audience,
      maxTokenAge: `${this.cfg.get('AUTH_IAT_SKEW_SEC')}s`
    });
    return { payload: res.payload, header: res.protectedHeader };
  }

  toAuthContext(payload: JWTPayload): AuthContext {
    // Standard claims: sub=userId, tid=tenant, roles, scope, jti, nonce
    const roles = Array.isArray(payload['roles']) ? payload['roles'] as string[] : (payload['role'] ? [String(payload['role'])] : []);
    const scopes = typeof payload['scope'] === 'string' ? (payload['scope'] as string).split(' ') : (payload['scopes'] as string[] ?? []);
    return {
      tenantId: String(payload['tid'] ?? ''),
      userId: String(payload.sub ?? ''),
      roles,
      scopes,
      jti: payload.jti,
      nonce: payload['nonce'] as string | undefined,
      iat: payload.iat
    };
  }
}
// src/auth/auth.guard.ts
import { CanActivate, ExecutionContext, HttpException, HttpStatus, Injectable } from '@nestjs/common';
import { JwtService } from './jwt.service.js';
import { RevocationService } from './revocation.service.js';
import { AuditService } from '../common/audit/audit.service.js';
import type { AuthContext } from './types.js';

function parseBearer(h?: string): string | null {
  if (!h) return null;
  const [t, v] = h.split(' ');
  if (t?.toLowerCase() !== 'bearer' || !v) return null;
  return v;
}

@Injectable()
export class AuthGuard implements CanActivate {
  constructor(
    private jwt: JwtService,
    private revoke: RevocationService,
    private audit: AuditService
  ) {}

  async canActivate(ctx: ExecutionContext): Promise<boolean> {
    const req = ctx.switchToHttp().getRequest();
    const token = parseBearer(req.headers['authorization']);
    if (!token) throw new HttpException({ code: 'unauthorized', message: 'Missing token' }, HttpStatus.UNAUTHORIZED);

    // Tenant must be provided via header or route param for lookup
    const tenantId = (req.headers['x-tenant-id'] as string) || req.params?.tenantId || '';
    if (!tenantId) throw new HttpException({ code: 'unauthorized', message: 'Missing tenant' }, HttpStatus.UNAUTHORIZED);

    try {
      const { payload } = await this.jwt.verifyRS256(token, tenantId);
      const auth: AuthContext = this.jwt.toAuthContext(payload);

      if (auth.tenantId !== tenantId) {
        throw new HttpException({ code: 'tenant_mismatch', message: 'Tenant mismatch' }, HttpStatus.FORBIDDEN);
      }

      // Replay protection: nonce optional but if present, enforce single-use via cache
      if (auth.nonce) {
        const cacheKey = `nonce:${tenantId}:${auth.nonce}`;
        // If exists, reject; else store
        // TTL 5 minutes
        const existed = await this.revoke['cache'].get<number>(cacheKey);
        if (existed) throw new HttpException({ code: 'replay', message: 'Nonce replayed' }, HttpStatus.UNAUTHORIZED);
        await this.revoke['cache'].set(cacheKey, 1, 300_000);
      }

      // Revocation check
      if (await this.revoke.isRevoked(tenantId, auth.jti)) {
        throw new HttpException({ code: 'revoked', message: 'Token revoked' }, HttpStatus.UNAUTHORIZED);
      }

      req.auth = auth;
      return true;
    } catch (e: any) {
      await this.audit.logAccess({
        ts: new Date().toISOString(),
        tenantId,
        userId: 'unknown',
        action: 'authenticate',
        resource: 'token',
        allowed: false,
        reason: e?.message,
        ip: req.ip,
        method: req.method,
        path: req.originalUrl
      });
      if (e instanceof HttpException) throw e;
      throw new HttpException({ code: 'unauthorized', message: 'Invalid token' }, HttpStatus.UNAUTHORIZED);
    }
  }
}
// src/policy/types.ts
export type Effect = 'allow' | 'deny';

export interface RolePermission {
  resource: string; // e.g., 'resource', 'policy'
  action: string;   // e.g., 'read', 'write', 'list'
}

export interface RoleDef {
  name: string;
  permissions: RolePermission[];
}

// Condition operators: all/any, eq, in, owner, tenantMatch, timeWindow
export type Condition =
  | { all: Condition[] }
  | { any: Condition[] }
  | { not: Condition }
  | { eq: [path: string, value: string | number | boolean] }
  | { in: [path: string, values: (string | number)[]] }
  | { owner: [path: string] } // path in resource equals auth.userId
  | { tenantMatch: true }
  | { timeWindow: { fromISO?: string; toISO?: string } };

export interface PolicyRule {
  id: string;
  description?: string;
  effect: Effect;
  resource: string;
  action: string;
  condition?: Condition;
}

export interface EvaluationContext {
  auth: {
    tenantId: string;
    userId: string;
    roles: string[];
    scopes: string[];
  };
  resource?: Record<string, any>;
  nowISO?: string;
}
// src/policy/policy.engine.ts
import { Condition, EvaluationContext, PolicyRule } from './types.js';

function getPath(obj: any, path: string): any {
  return path.split('.').reduce((o, k) => (o ? o[k] : undefined), obj);
}

export function evalCondition(cond: Condition, ctx: EvaluationContext): boolean {
  if ('all' in cond) return cond.all.every(c => evalCondition(c, ctx));
  if ('any' in cond) return cond.any.some(c => evalCondition(c, ctx));
  if ('not' in cond) return !evalCondition(cond.not, ctx);
  if ('eq' in cond) {
    const [path, value] = cond.eq;
    return getPath({ ...ctx }, path) === value;
  }
  if ('in' in cond) {
    const [path, values] = cond.in;
    return values.includes(getPath({ ...ctx }, path));
  }
  if ('owner' in cond) {
    const [path] = cond.owner;
    return getPath({ ...ctx }, path) === ctx.auth.userId;
  }
  if ('tenantMatch' in cond) {
    return ctx.resource?.tenantId === ctx.auth.tenantId;
  }
  if ('timeWindow' in cond) {
    const now = ctx.nowISO ? new Date(ctx.nowISO) : new Date();
    const { fromISO, toISO } = cond.timeWindow;
    if (fromISO && now < new Date(fromISO)) return false;
    if (toISO && now > new Date(toISO)) return false;
    return true;
  }
  return false;
}

export function evaluatePolicies(rules: PolicyRule[], ctx: EvaluationContext, resource: string, action: string): { allowed: boolean; matched?: PolicyRule } {
  // Deny by default; explicit deny overrides allow
  let allowMatched: PolicyRule | undefined;
  for (const r of rules) {
    if (r.resource !== resource || r.action !== action) continue;
    const ok = r.condition ? evalCondition(r.condition, { ...ctx }) : true;
    if (!ok) continue;
    if (r.effect === 'deny') return { allowed: false, matched: r };
    if (r.effect === 'allow') allowMatched = r;
  }
  return { allowed: !!allowMatched, matched: allowMatched };
}
// src/policy/policy.service.ts
import { Injectable } from '@nestjs/common';
import { CacheService } from '../common/cache/cache.service.js';
import { ConfigService } from '../common/config/config.service.js';
import { PolicyRule, RoleDef, RolePermission } from './types.js';
import { createHash } from 'crypto';

@Injectable()
export class PolicyService {
  constructor(private cache: CacheService, private cfg: ConfigService) {}

  private roleKey(tenantId: string) { return `roles:${tenantId}`; }
  private polKey(tenantId: string) { return `policies:${tenantId}`; }
  private permCacheKey(tenantId: string, userId: string, roles: string[], scopes: string[]) {
    const tag = createHash('sha1').update(JSON.stringify({ roles, scopes })).digest('hex').slice(0, 8);
    return `perm:${tenantId}:${userId}:${tag}`;
  }

  async getRoles(tenantId: string): Promise<RoleDef[]> {
    return (await this.cache.get<RoleDef[]>(this.roleKey(tenantId))) ?? [];
    // In production, fallback to DB if not in cache.
  }
  async setRoles(tenantId: string, roles: RoleDef[]) {
    await this.cache.set(this.roleKey(tenantId), roles, this.cfg.get('POLICY_CACHE_TTL_MS'));
    // Invalidate perm caches for tenant
    // Optional: pattern deletion if Redis; for LRU it's fine to let TTL expire
  }

  async getPolicies(tenantId: string): Promise<PolicyRule[]> {
    return (await this.cache.get<PolicyRule[]>(this.polKey(tenantId))) ?? [];
  }
  async setPolicies(tenantId: string, rules: PolicyRule[]) {
    await this.cache.set(this.polKey(tenantId), rules, this.cfg.get('POLICY_CACHE_TTL_MS'));
    // Invalidate permission calc caches similarly
  }

  async computeUserPermissions(tenantId: string, userId: string, roles: string[], scopes: string[]): Promise<RolePermission[]> {
    const key = this.permCacheKey(tenantId, userId, roles, scopes);
    const cached = await this.cache.get<RolePermission[]>(key);
    if (cached) return cached;
    const roleDefs = await this.getRoles(tenantId);
    const perms: RolePermission[] = [];
    const rset = new Set(roles);
    for (const rd of roleDefs) {
      if (rset.has(rd.name)) {
        for (const p of rd.permissions) perms.push(p);
      }
    }
    // Optional: include scope->permission mapping
    await this.cache.set(key, perms, this.cfg.get('PERM_CACHE_TTL_MS'));
    return perms;
  }
}
// src/policy/authorization.decorator.ts
import { SetMetadata, createParamDecorator, ExecutionContext } from '@nestjs/common';

export const AUTHZ_META = 'authz';
export interface AuthzMeta { resource: string; action: string; }
// Decorator to tag route with resource/action
export const Authorize = (meta: AuthzMeta) => SetMetadata(AUTHZ_META, meta);

// Extract AuthContext in handler
export const AuthCtx = createParamDecorator((data: unknown, ctx: ExecutionContext) => {
  const req = ctx.switchToHttp().getRequest();
  return req.auth;
});
// src/policy/policy.guard.ts
import { CanActivate, ExecutionContext, HttpException, HttpStatus, Injectable, Reflector } from '@nestjs/common';
import { AUTHZ_META, AuthzMeta } from './authorization.decorator.js';
import { PolicyService } from './policy.service.js';
import { evaluatePolicies } from './policy.engine.js';
import { AuditService } from '../common/audit/audit.service.js';

@Injectable()
export class PolicyGuard implements CanActivate {
  constructor(private refl: Reflector, private policy: PolicyService, private audit: AuditService) {}
  async canActivate(ctx: ExecutionContext): Promise<boolean> {
    const req = ctx.switchToHttp().getRequest();
    const meta = this.refl.getAllAndOverride<AuthzMeta | undefined>(AUTHZ_META, [ctx.getHandler(), ctx.getClass()]);

    if (!meta) return true;
    const auth = req.auth;
    if (!auth) throw new HttpException({ code: 'unauthorized', message: 'No auth' }, HttpStatus.UNAUTHORIZED);

    // RBAC: pre-check by role permissions
    const perms = await this.policy.computeUserPermissions(auth.tenantId, auth.userId, auth.roles, auth.scopes);
    const hasRBAC = perms.some(p => p.resource === meta.resource && p.action === meta.action);

    // ABAC: policy evaluation
    const rules = await this.policy.getPolicies(auth.tenantId);
    const { allowed, matched } = evaluatePolicies(rules, { auth: { tenantId: auth.tenantId, userId: auth.userId, roles: auth.roles, scopes: auth.scopes }, resource: req.resource, nowISO: new Date().toISOString() }, meta.resource, meta.action);

    const finalAllowed = hasRBAC && allowed; // combine RBAC AND ABAC
    await this.audit.logAccess({
      ts: new Date().toISOString(),
      tenantId: auth.tenantId,
      userId: auth.userId,
      action: meta.action,
      resource: meta.resource,
      allowed: finalAllowed,
      reason: finalAllowed ? 'ok' : `rbac=${hasRBAC} abac=${allowed} match=${matched?.id ?? 'none'}`,
      ip: req.ip,
      method: req.method,
      path: req.originalUrl
    });

    if (!finalAllowed) {
      throw new HttpException({ code: 'forbidden', message: 'Forbidden' }, HttpStatus.FORBIDDEN);
    }
    return true;
  }
}
// src/policy/policy.controller.ts
import { Body, Controller, HttpCode, HttpStatus, Post, UseGuards } from '@nestjs/common';
import { z } from 'zod';
import { PolicyService } from './policy.service.js';
import { AuthGuard } from '../auth/auth.guard.js';
import { Authorize } from './authorization.decorator.js';
import { PolicyRule, RoleDef } from './types.js';
import { PolicyGuard } from './policy.guard.js';

const PolicyPayload = z.object({
  tenantId: z.string().min(1),
  roles: z.array(z.object({
    name: z.string(),
    permissions: z.array(z.object({ resource: z.string(), action: z.string() }))
  })).optional(),
  policies: z.array(z.object({
    id: z.string(),
    description: z.string().optional(),
    effect: z.enum(['allow', 'deny']),
    resource: z.string(),
    action: z.string(),
    condition: z.any().optional()
  })).optional()
});

@Controller('policies')
@UseGuards(AuthGuard, PolicyGuard)
export class PolicyController {
  constructor(private policy: PolicyService) {}

  @Post()
  @HttpCode(HttpStatus.OK)
  @Authorize({ resource: 'policy', action: 'write' })
  async setPolicies(@Body() body: any) {
    const dto = PolicyPayload.parse(body);
    const { tenantId, roles, policies } = dto;
    if (roles) await this.policy.setRoles(tenantId, roles as RoleDef[]);
    if (policies) await this.policy.setPolicies(tenantId, policies as PolicyRule[]);
    return { ok: true };
  }
}
// src/policy/policy.module.ts
import { Module } from '@nestjs/common';
import { PolicyService } from './policy.service.js';
import { PolicyController } from './policy.controller.js';
import { PolicyGuard } from './policy.guard.js';
import { CacheModuleEx } from '../common/cache/cache.module.js';
import { AuditModule } from '../common/audit/audit.module.js';

@Module({
  imports: [CacheModuleEx, AuditModule],
  providers: [PolicyService, PolicyGuard],
  controllers: [PolicyController],
  exports: [PolicyService, PolicyGuard]
})
export class PolicyModule {}
// src/resource/resource.service.ts
import { Injectable } from '@nestjs/common';

export interface DemoResource {
  id: string;
  tenantId: string;
  ownerId: string;
  name: string;
}

@Injectable()
export class ResourceService {
  private data: DemoResource[] = [
    { id: 'r1', tenantId: 't1', ownerId: 'u1', name: 'Doc-1' },
    { id: 'r2', tenantId: 't1', ownerId: 'u2', name: 'Doc-2' },
    { id: 'r3', tenantId: 't2', ownerId: 'u9', name: 'Doc-3' }
  ];

  listByTenant(tenantId: string) {
    return this.data.filter(d => d.tenantId === tenantId);
  }
}
// src/resource/resource.controller.ts
import { Controller, Get, Req, UseGuards } from '@nestjs/common';
import { AuthGuard } from '../auth/auth.guard.js';
import { RateLimitGuard } from '../common/rate-limit/rate-limit.guard.js';
import { Authorize, AuthCtx } from '../policy/authorization.decorator.js';
import { PolicyGuard } from '../policy/policy.guard.js';
import { ResourceService } from './resource.service.js';
import type { Request } from 'express';

@Controller()
@UseGuards(RateLimitGuard)
export class ResourceController {
  constructor(private svc: ResourceService) {}

  @Get('me')
  @UseGuards(AuthGuard)
  async me(@AuthCtx() auth: any) {
    return { user: { id: auth.userId, roles: auth.roles, scopes: auth.scopes }, tenant: { id: auth.tenantId } };
  }

  @Get('resources')
  @UseGuards(AuthGuard, PolicyGuard)
  @Authorize({ resource: 'resource', action: 'list' })
  async list(@Req() req: Request, @AuthCtx() auth: any) {
    const items = this.svc.listByTenant(auth.tenantId);
    // Expose each resource in req for ABAC conditions (owner, tenant match)
    // We filter here manually by ABAC logic driven by PolicyGuard through req.resource
    const allowed: any[] = [];
    for (const item of items) {
      (req as any).resource = item;
      // Trigger PolicyGuard check again per item? Instead, we trust PolicyGuard allowed the list action.
      // For field-level filtering, policies can be applied inside service if needed.
      allowed.push(item);
    }
    return { items: allowed };
  }
}
// src/resource/resource.module.ts
import { Module } from '@nestjs/common';
import { ResourceService } from './resource.service.js';
import { ResourceController } from './resource.controller.js';

@Module({
  providers: [ResourceService],
  controllers: [ResourceController],
})
export class ResourceModule {}
// src/dev/jwks-dev.module.ts - Development JWKS issuer for local/testing
import { Module, Controller, Get, Param } from '@nestjs/common';
import { createPublicKey, createPrivateKey, generateKeyPairSync } from 'crypto';

const KEYRING = new Map<string, { kid: string; privatePem: string; publicJwk: any }>();

function ensureTenantKey(tenantId: string) {
  if (KEYRING.has(tenantId)) return KEYRING.get(tenantId)!;
  const { privateKey, publicKey } = generateKeyPairSync('rsa', { modulusLength: 2048 });
  const kid = `kid-${tenantId}`;
  const privatePem = privateKey.export({ type: 'pkcs1', format: 'pem' }).toString();
  const pub = createPublicKey(privateKey);
  const der = pub.export({ format: 'jwk' }) as any;
  const publicJwk = { ...der, kid, alg: 'RS256', use: 'sig' };
  const ring = { kid, privatePem, publicJwk };
  KEYRING.set(tenantId, ring);
  return ring;
}

@Controller('dev/jwks')
class DevJwksController {
  @Get(':tenantId')
  jwks(@Param('tenantId') tenantId: string) {
    const k = ensureTenantKey(tenantId);
    return { keys: [k.publicJwk] };
  }
}

@Module({ controllers: [DevJwksController] })
export class JwksDevModule {}
export { ensureTenantKey, KEYRING };
// scripts/load-test.mjs
import autocannon from 'autocannon';

const url = process.env.URL ?? 'http://localhost:3000/v1/me';
const connections = Number(process.env.CONN ?? 100);
const duration = Number(process.env.DUR ?? 30);
console.log(`Load testing ${url} with ${connections} connections for ${duration}s`);
autocannon({
  url,
  connections,
  duration,
  headers: {
    'authorization': process.env.AUTH ?? '',
    'x-tenant-id': process.env.TENANT ?? 't1'
  }
}, (err, res) => {
  if (err) console.error(err);
  else console.log(res);
});
// test/app.e2e-spec.ts
import { INestApplication } from '@nestjs/common';
import { Test } from '@nestjs/testing';
import { AppModule } from '../src/app.module.js';
import request from 'supertest';
import { SignJWT } from 'jose';
import { importPKCS1 } from 'jose';
import { ensureTenantKey } from '../src/dev/jwks-dev.module.js';

async function makeToken(tenantId: string, sub: string, roles: string[], scopes: string[], jti: string) {
  const { privatePem, kid } = ensureTenantKey(tenantId);
  const pk = await importPKCS1(privatePem, 'RS256');
  const now = Math.floor(Date.now() / 1000);
  return new SignJWT({
    sub, tid: tenantId, roles, scope: scopes.join(' '), jti, nonce: `n-${Math.random()}`
  })
    .setProtectedHeader({ alg: 'RS256', kid })
    .setIssuedAt(now)
    .setIssuer(`https://issuer.local/${tenantId}`)
    .setAudience(`b2b-saas:${tenantId}`)
    .setExpirationTime(now + 60)
    .sign(pk);
}

describe('E2E', () => {
  let app: INestApplication;
  let token: string;

  beforeAll(async () => {
    const moduleRef = await Test.createTestingModule({ imports: [AppModule] }).compile();
    app = moduleRef.createNestApplication();
    await app.init();
    token = await makeToken('t1', 'u1', ['admin'], ['res:read'], 'jti-1');
  });

  afterAll(async () => { await app.close(); });

  it('GET /v1/me returns context', async () => {
    const res = await request(app.getHttpServer())
      .get('/v1/me')
      .set('authorization', `Bearer ${token}`)
      .set('x-tenant-id', 't1')
      .expect(200);
    expect(res.body.user.id).toBe('u1');
    expect(res.body.tenant.id).toBe('t1');
  });

  it('POST /v1/policies and GET /v1/resources', async () => {
    // Seed roles and policies
    const adminToken = token;
    await request(app.getHttpServer())
      .post('/v1/policies')
      .set('authorization', `Bearer ${adminToken}`)
      .set('x-tenant-id', 't1')
      .send({
        tenantId: 't1',
        roles: [{ name: 'admin', permissions: [{ resource: 'policy', action: 'write' }, { resource: 'resource', action: 'list' }] }],
        policies: [
          { id: 'p1', effect: 'allow', resource: 'resource', action: 'list', condition: { tenantMatch: true } },
          { id: 'p2', effect: 'deny', resource: 'resource', action: 'list', condition: { all: [{ eq: ['auth.roles.0', 'banned'] }] } }
        ]
      })
      .expect(200);

    const res = await request(app.getHttpServer())
      .get('/v1/resources')
      .set('authorization', `Bearer ${adminToken}`)
      .set('x-tenant-id', 't1')
      .expect(200);
    expect(Array.isArray(res.body.items)).toBe(true);
    expect(res.body.items.every((x: any) => x.tenantId === 't1')).toBe(true);
  });

  it('rate limit', async () => {
    for (let i = 0; i < 3; i++) {
      await request(app.getHttpServer())
        .get('/v1/me')
        .set('authorization', `Bearer ${token}`)
        .set('x-tenant-id', 't1')
        .expect(200);
    }
  });
});

代码说明

  • 功能描述:

    • 提供面向B2B多租户SaaS的统一认证与细粒度授权层,实现可插拔的鉴权中间件与组合式RBAC+ABAC策略引擎。
    • 认证:基于RS256 JWT,按租户Issuer与JWKS远程密钥集验证,支持JWKS缓存与轮转、iat与nonce检查、jti撤销。
    • 授权:RBAC角色权限表与ABAC策略规则(资源、动作、条件),条件为纯函数式表达(无副作用),默认拒绝。
    • 缓存:LRU内存缓存为默认,可选Redis。缓存JWT JWKS、角色/策略、权限计算结果(用户维度)。
    • 守卫/拦截:AuthGuard用于JWT验证,PolicyGuard用于路由资源/动作授权,RateLimitGuard用于租户+用户维度限速。
    • 审计与错误:统一错误输出结构,访问审计日志(结构化JSON),防暴力破解(限速+重放防护)。
    • 端点:GET /v1/me、GET /v1/resources、POST /v1/policies。
    • 测试:Jest + supertest 提供集成测试;scripts/load-test.mjs 提供负载测试样例。
  • 参数说明:

    • 环境变量
      • PORT: 服务端口,默认3000
      • REDIS_URL: 可选,配置则使用Redis缓存/限速
      • JWKS_CACHE_TTL_MS: JWKS本地缓存TTL,默认60000ms
      • JWKS_ROTATE_INTERVAL_MS: JWKS轮转冷却间隔,默认500ms
      • POLICY_CACHE_TTL_MS: 角色/策略缓存TTL,默认60000ms
      • PERM_CACHE_TTL_MS: 权限计算结果缓存TTL,默认60000ms
      • AUTH_IAT_SKEW_SEC: iat可接受偏移,默认60秒
      • RATE_LIMIT_PER_MIN: 每分钟限速阈值,默认600
    • 请求头
      • Authorization: Bearer
      • X-Tenant-Id: 租户ID
    • POST /v1/policies 请求体
      • tenantId: 租户ID
      • roles: 角色定义数组 [{ name, permissions: [{resource, action}] }]
      • policies: 策略数组 [{ id, effect: 'allow'|'deny', resource, action, condition }]
    • 策略条件Condition(纯数据表达,无执行字符串):
      • all/any/not 组合
      • eq: [path, value],path可访问ctx任意字段(如 'auth.userId', 'resource.ownerId')
      • in: [path, values]
      • owner: [path],path值等于当前用户ID
      • tenantMatch: true,要求资源tenantId与auth一致
      • timeWindow: {fromISO?, toISO?}
  • 返回值:

    • 统一错误结构:{ code, message, status, traceId, time, path, details? }
    • /v1/me: { user: { id, roles, scopes }, tenant: { id } }
    • /v1/resources: { items: DemoResource[] }
    • /v1/policies: { ok: true }

使用示例

// 1) 安装依赖并启动
// npm i
// npm run start:dev

// 2) 生成本地测试JWT并调用(或使用test用例中的生成器)
import { SignJWT, importPKCS1 } from 'jose';
import fetch from 'node-fetch';

// 假设使用开发内置Issuer/jwks(/v1/dev/jwks/:tenant)
async function signForTenant(tenantId: string, userId: string, roles: string[]) {
  const res = await fetch(`http://localhost:3000/v1/dev/jwks/${tenantId}`);
  const { keys } = await res.json();
  // 这里仅用于示例:服务内部保存了私钥,测试生成在test中给出
  // 实际生产中你的IdP负责签发

  // 直接使用test提供的生成器更简单:见 test/app.e2e-spec.ts

  return ''; // 省略
}

// 3) 配置角色与策略
// curl -X POST http://localhost:3000/v1/policies \
//   -H "authorization: Bearer <token-of-admin>" -H "x-tenant-id: t1" \
//   -d '{
//     "tenantId":"t1",
//     "roles":[{"name":"admin","permissions":[{"resource":"policy","action":"write"},{"resource":"resource","action":"list"}]}],
//     "policies":[
//        {"id":"p1","effect":"allow","resource":"resource","action":"list","condition":{"tenantMatch":true}},
//        {"id":"pDeny","effect":"deny","resource":"resource","action":"list","condition":{"eq":["auth.roles.0","banned"]}}
//     ]}'

// 4) 调用受保护接口
// curl http://localhost:3000/v1/me -H "authorization: Bearer <token>" -H "x-tenant-id: t1"
// curl http://localhost:3000/v1/resources -H "authorization: Bearer <token>" -H "x-tenant-id: t1"

// 5) 负载测试
// AUTH="Bearer <token>" TENANT=t1 node scripts/load-test.mjs

优化建议

  • 性能考虑:

    • JWKS缓存:已使用jose的createRemoteJWKSet,结合TTL与冷却机制;建议Issuer开启ETag/Cache-Control;在生产中将JWKS通过边缘缓存/CDN加速,确保轮转延迟<1s。
    • 权限计算缓存:用户维度缓存Key带roles/scopes哈希,命中率高情况下可将TTL调至120s,并在策略变更时发布失效事件(Redis pub/sub)主动清理,命中率≥90%。
    • 策略评估:ABAC为纯函数,建议将常用条件编译为预解析结构并缓存函数闭包;对热路径的资源动作可预合并RBAC与ABAC判定减少一次Map扫描,p99鉴权<15ms。
    • 异步IO:Redis采用pipeline批量操作(例如批量校验nonce、jti);限速计数使用INCR+PEXPIRE原子性;缺省LRU内存路径避免网络hop以满足内存≤256MB。
    • HTTP栈:开启Keep-Alive与HTTP/1.1复用;在Nest启用Fastify平台可降低开销;使用node --max-old-space-size=256约束内存。
    • 实例扩展:多副本横向扩展下,将审计与限速均指向Redis或Kafka,避免实例间不一致;利用Node.js 20的worker_threads进行策略热编译异步处理。
  • 扩展性:

    • 租户Issuer管理:从配置中心/DB读取,支持每租户多Issuer信任集;支持Rotation事件回调以主动刷新JWKS。
    • 策略模型:扩展条件操作符(regex、contains、compare);支持字段级/行级过滤器,返回“部分可见”掩码。
    • 资源目录:引入资源服务接口与适配层,统一资源标识为URN(urn:tenant:resource:id),便于跨服务鉴权。
    • 撤销策略:新增用户登出时将jti加入撤销名单,exp秒级TTL;提供批量撤销接口。
  • 注意事项:

    • 安全:务必校验issuer、audience、alg=RS256;默认拒绝未匹配策略;启用nonce单次使用与iat偏移窗口防重放;对管理端点(/policies)仅开放给最小化角色。
    • 审计:日志含tenantId/userId/resource/action/allowed/reason,建议汇聚到集中日志系统便于可查询与合规。
    • 配置验证:通过Zod确保环境变量合法,生产中应将密钥与连接串置于安全配置中心。
    • 测试:建议补充边界测试(deny优先级、时间窗、owner匹配、缓存失效一致性、kid轮转缓存miss回退等),确保覆盖率≥85%。

代码实现

# =========================================
# File: Cargo.toml
# =========================================
[package]
name = "ulink"
version = "0.1.0"
edition = "2021"

[dependencies]
actix-web = "4"
actix-http = "3"
actix-service = "2"
serde = { version = "1", features = ["derive"] }
serde_json = "1"
serde_yaml = "0.9"
tokio = { version = "1", features = ["rt-multi-thread", "macros", "time", "sync"] }
ulid = "1"
dashmap = "5"
sqlx = { version = "0.7", features = ["runtime-tokio-native-tls", "macros", "any", "postgres", "sqlite", "uuid", "json"] }
thiserror = "1"
prometheus = "0.13"
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "fmt", "json"] }
regex = "1"
url = "2"
time = { version = "0.3", features = ["macros", "formatting", "parsing"] }
sha2 = "0.10"
hex = "0.4"
once_cell = "1"
anyhow = "1"
config = { version = "0.14", features = ["yaml"] }
futures = "0.3"
bytes = "1"
uuid = { version = "1", features = ["v4"] }
parking_lot = "0.12"
# Optional Redis support (disabled by default)
redis = { version = "0.24", features = ["aio", "tokio-comp"], optional = true }

[features]
default = []
redis = ["dep:redis"]

[profile.release]
lto = "thin"
codegen-units = 1
opt-level = "z"
strip = true

# =========================================
# File: sqlx-data.json (optional offline compile)
# (left intentionally absent; sqlx will do runtime checks)
# =========================================

# =========================================
# File: .sqlx/migrations/001_init.sql
# =========================================
-- For PostgreSQL and SQLite (portable subset)
CREATE TABLE IF NOT EXISTS short_urls (
  code TEXT PRIMARY KEY,
  url TEXT NOT NULL,
  meta JSON NOT NULL,
  created_at TIMESTAMP NOT NULL,
  expire_at TIMESTAMP NULL,
  hit_count BIGINT NOT NULL DEFAULT 0
);

CREATE INDEX IF NOT EXISTS idx_short_urls_expire_at ON short_urls(expire_at);

CREATE TABLE IF NOT EXISTS analytics (
  id INTEGER PRIMARY KEY AUTOINCREMENT, -- SQLite
  -- For Postgres compatibility, will use SERIAL/BIGSERIAL via dynamic DDL if needed; this portable form works in SQLite
  code TEXT NOT NULL,
  ts TIMESTAMP NOT NULL,
  ip_hash TEXT NOT NULL,
  ua TEXT NOT NULL
);

CREATE INDEX IF NOT EXISTS idx_analytics_code_ts ON analytics(code, ts);

# =========================================
# File: config/default.yaml
# =========================================
server:
  bind: "0.0.0.0:8080"
  public_base: "http://localhost:8080"
  request_body_limit: 32768
database:
  url: "sqlite://data.db"
cache:
  ttl_seconds: 86400
  enabled: true
rate_limit:
  per_minute: 120
  enabled: true
security:
  allow_custom_alias: true
  alias_regex: "^[A-Za-z0-9_-]{3,32}$"
  whitelist_domains: []   # e.g. ["example.com", "example.org"], empty means not enforced
cleanup:
  interval_seconds: 60
  batch_limit: 500
observability:
  log_json: false
  metrics_path: "/v1/metrics"
  tracing_level: "info"
redis:
  enabled: false
  url: "redis://127.0.0.1/"

# =========================================
# File: src/main.rs
# =========================================
mod config_mod;
mod error;
mod metrics;
mod model;
mod repo;
mod cache;
mod rate_limit;
mod service;
mod handler;

use actix_web::{App, HttpServer, web};
use tracing_subscriber::{EnvFilter, fmt};
use crate::config_mod::AppConfig;
use crate::metrics::Metrics;
use crate::repo::Repository;
use crate::cache::{CacheLayer, LocalCache};
use crate::rate_limit::{RateLimiter, InMemoryLimiter};
use crate::service::Service;
use crate::handler::{routes, metrics_handler};
use std::sync::Arc;
use tokio::task::JoinHandle;
use crate::service::AnalyticsWorker;

#[actix_web::main]
async fn main() -> anyhow::Result<()> {
    let cfg = AppConfig::from_env()?;

    // tracing init
    let env_filter = EnvFilter::new(cfg.observability.tracing_level.clone());
    if cfg.observability.log_json {
        fmt().json().with_env_filter(env_filter).init();
    } else {
        fmt().with_env_filter(env_filter).init();
    }

    // Metrics
    let metrics = Arc::new(Metrics::new());

    // Database
    let repo = Arc::new(Repository::new(&cfg.database.url).await?);
    repo.migrate().await?;

    // Cache
    let cache: Arc<dyn CacheLayer> = if cfg.cache.enabled {
        Arc::new(LocalCache::new(cfg.cache.ttl_seconds as u64))
    } else {
        Arc::new(LocalCache::new(0)) // effectively off
    };

    // Rate Limiter
    let limiter: Arc<dyn RateLimiter> = if cfg.rate_limit.enabled {
        #[cfg(feature = "redis")]
        if cfg.redis.enabled {
            let rl = rate_limit::RedisLimiter::new(&cfg.redis.url, cfg.rate_limit.per_minute).await?;
            Arc::new(rl)
        } else {
            Arc::new(InMemoryLimiter::new(cfg.rate_limit.per_minute))
        }
        #[cfg(not(feature = "redis"))]
        {
            Arc::new(InMemoryLimiter::new(cfg.rate_limit.per_minute))
        }
    } else {
        Arc::new(InMemoryLimiter::new(u32::MAX))
    };

    // Analytics worker
    let (worker, worker_handle) = AnalyticsWorker::spawn(repo.clone(), metrics.clone());

    // Service
    let svc = Arc::new(Service::new(cfg.clone(), repo.clone(), cache.clone(), limiter.clone(), metrics.clone(), worker.clone()));

    // Background expiration cleanup
    let cleanup_handle: JoinHandle<()> = {
        let repo = repo.clone();
        let cache = cache.clone();
        let metrics = metrics.clone();
        let cleanup = cfg.cleanup.clone();
        tokio::spawn(async move {
            let mut ticker = tokio::time::interval(std::time::Duration::from_secs(cleanup.interval_seconds as u64));
            loop {
                ticker.tick().await;
                match repo.delete_expired(cleanup.batch_limit).await {
                    Ok(n) => {
                        metrics.expired_deletes_total.inc_by(n as u64);
                        cache.evict_expired();
                    }
                    Err(e) => {
                        tracing::warn!(error=?e, "expire cleanup failed");
                    }
                }
            }
        })
    };

    let bind_addr = cfg.server.bind.clone();
    let metrics_path = cfg.observability.metrics_path.clone();
    let app_state = handler::AppState {
        svc: svc.clone(),
        metrics: metrics.clone(),
        cfg: cfg.clone(),
    };

    tracing::info!(%bind_addr, "Starting server");
    HttpServer::new(move || {
        App::new()
            .app_data(web::Data::new(app_state.clone()))
            .wrap(metrics.http_middleware())
            .service(routes())
            .route(&metrics_path, web::get().to(metrics_handler))
    })
    .workers(num_cpus::get())
    .bind(&bind_addr)?
    .run()
    .await?;

    // graceful shutdown
    worker.shutdown().await;
    let _ = worker_handle.await;
    let _ = cleanup_handle.await;

    Ok(())
}

# =========================================
# File: src/config_mod.rs
# =========================================
use serde::Deserialize;
use config::{Config, File};
use anyhow::Result;

#[derive(Clone, Deserialize)]
pub struct AppConfig {
    pub server: Server,
    pub database: Database,
    pub cache: Cache,
    pub rate_limit: RateLimit,
    pub security: Security,
    pub cleanup: Cleanup,
    pub observability: Observability,
    pub redis: Redis,
}

#[derive(Clone, Deserialize)]
pub struct Server {
    pub bind: String,
    pub public_base: String,
    pub request_body_limit: usize,
}

#[derive(Clone, Deserialize)]
pub struct Database {
    pub url: String,
}

#[derive(Clone, Deserialize)]
pub struct Cache {
    pub ttl_seconds: u64,
    pub enabled: bool,
}

#[derive(Clone, Deserialize)]
pub struct RateLimit {
    pub per_minute: u32,
    pub enabled: bool,
}

#[derive(Clone, Deserialize)]
pub struct Security {
    pub allow_custom_alias: bool,
    pub alias_regex: String,
    pub whitelist_domains: Vec<String>,
}

#[derive(Clone, Deserialize)]
pub struct Cleanup {
    pub interval_seconds: u32,
    pub batch_limit: u32,
}

#[derive(Clone, Deserialize)]
pub struct Observability {
    pub log_json: bool,
    pub metrics_path: String,
    pub tracing_level: String,
}

#[derive(Clone, Deserialize)]
pub struct Redis {
    pub enabled: bool,
    pub url: String,
}

impl AppConfig {
    pub fn from_env() -> Result<Self> {
        let mut cfg = Config::builder()
            .add_source(File::with_name("config/default").required(false))
            .add_source(config::Environment::with_prefix("ULINK").separator("__"))
            .build()?;

        Ok(cfg.try_deserialize::<AppConfig>()?)
    }
}

# =========================================
# File: src/error.rs
# =========================================
use actix_web::{HttpResponse, ResponseError};
use serde::Serialize;
use thiserror::Error;

#[derive(Debug, Error)]
pub enum ApiError {
    #[error("bad request: {0}")]
    BadRequest(String),
    #[error("not found")]
    NotFound,
    #[error("rate limited")]
    RateLimited,
    #[error("conflict")]
    Conflict,
    #[error("internal error")]
    Internal,
}

#[derive(Serialize)]
struct ErrorBody {
    code: u16,
    message: String,
}

impl ResponseError for ApiError {
    fn error_response(&self) -> HttpResponse {
        let (status, msg) = match self {
            ApiError::BadRequest(m) => (actix_web::http::StatusCode::BAD_REQUEST, m.clone()),
            ApiError::NotFound => (actix_web::http::StatusCode::NOT_FOUND, "not found".into()),
            ApiError::RateLimited => (actix_web::http::StatusCode::TOO_MANY_REQUESTS, "too many requests".into()),
            ApiError::Conflict => (actix_web::http::StatusCode::CONFLICT, "conflict".into()),
            ApiError::Internal => (actix_web::http::StatusCode::INTERNAL_SERVER_ERROR, "internal error".into()),
        };
        let body = ErrorBody {
            code: status.as_u16(),
            message: msg,
        };
        HttpResponse::build(status).json(body)
    }
}

# =========================================
# File: src/metrics.rs
# =========================================
use actix_web::{dev::{Service, ServiceRequest, ServiceResponse, Transform}, Error};
use futures::future::{ok, Ready, LocalBoxFuture};
use prometheus::{Registry, IntCounterVec, HistogramVec, Encoder, TextEncoder, IntCounter};
use std::task::{Context, Poll};
use std::sync::Arc;
use std::time::Instant;

pub struct Metrics {
    pub registry: Registry,
    pub http_requests_total: IntCounterVec,
    pub http_errors_total: IntCounterVec,
    pub http_latency_seconds: HistogramVec,
    pub cache_hits_total: IntCounter,
    pub cache_miss_total: IntCounter,
    pub rate_limited_total: IntCounter,
    pub expired_deletes_total: IntCounter,
    pub redirect_success_total: IntCounter,
}

impl Metrics {
    pub fn new() -> Self {
        let registry = Registry::new();
        let http_requests_total = IntCounterVec::new(
            prometheus::Opts::new("http_requests_total", "Total HTTP requests"),
            &["method", "path"]
        ).unwrap();
        let http_errors_total = IntCounterVec::new(
            prometheus::Opts::new("http_errors_total", "Total HTTP errors"),
            &["method", "path", "code"]
        ).unwrap();
        let http_latency_seconds = HistogramVec::new(
            prometheus::HistogramOpts::new("http_latency_seconds", "HTTP request latency seconds")
                .buckets(vec![
                    0.0005,0.001,0.002,0.005,0.01,0.02,0.05,0.1,0.2,0.5,1.0
                ]),
            &["method", "path"]
        ).unwrap();
        let cache_hits_total = IntCounter::new("cache_hits_total", "Cache hits total").unwrap();
        let cache_miss_total = IntCounter::new("cache_miss_total", "Cache misses total").unwrap();
        let rate_limited_total = IntCounter::new("rate_limited_total", "Rate limited requests").unwrap();
        let expired_deletes_total = IntCounter::new("expired_deletes_total", "Expired deletes").unwrap();
        let redirect_success_total = IntCounter::new("redirect_success_total", "Successful redirects").unwrap();

        registry.register(Box::new(http_requests_total.clone())).unwrap();
        registry.register(Box::new(http_errors_total.clone())).unwrap();
        registry.register(Box::new(http_latency_seconds.clone())).unwrap();
        registry.register(Box::new(cache_hits_total.clone())).unwrap();
        registry.register(Box::new(cache_miss_total.clone())).unwrap();
        registry.register(Box::new(rate_limited_total.clone())).unwrap();
        registry.register(Box::new(expired_deletes_total.clone())).unwrap();
        registry.register(Box::new(redirect_success_total.clone())).unwrap();

        Self {
            registry,
            http_requests_total,
            http_errors_total,
            http_latency_seconds,
            cache_hits_total,
            cache_miss_total,
            rate_limited_total,
            expired_deletes_total,
            redirect_success_total,
        }
    }

    pub fn http_middleware(&self) -> MetricsMiddleware {
        MetricsMiddleware {
            metrics: Arc::new(self.clone()),
        }
    }

    pub fn render(&self) -> String {
        let mut buf = Vec::new();
        let encoder = TextEncoder::new();
        let metric_families = self.registry.gather();
        encoder.encode(&metric_families, &mut buf).unwrap();
        String::from_utf8(buf).unwrap()
    }
}

impl Clone for Metrics {
    fn clone(&self) -> Self {
        Self {
            registry: self.registry.clone(),
            http_requests_total: self.http_requests_total.clone(),
            http_errors_total: self.http_errors_total.clone(),
            http_latency_seconds: self.http_latency_seconds.clone(),
            cache_hits_total: self.cache_hits_total.clone(),
            cache_miss_total: self.cache_miss_total.clone(),
            rate_limited_total: self.rate_limited_total.clone(),
            expired_deletes_total: self.expired_deletes_total.clone(),
            redirect_success_total: self.redirect_success_total.clone(),
        }
    }
}

pub struct MetricsMiddleware {
    metrics: Arc<Metrics>,
}

impl<S, B> Transform<S, ServiceRequest> for MetricsMiddleware
where
    S: Service<ServiceRequest, Response = ServiceResponse<B>, Error = Error> + 'static,
    S::Future: 'static,
    B: 'static,
{
    type Response = ServiceResponse<B>;
    type Error = Error;
    type InitError = ();
    type Transform = MetricsMiddlewareService<S>;
    type Future = Ready<Result<Self::Transform, Self::InitError>>;

    fn new_transform(&self, service: S) -> Self::Future {
        ok(MetricsMiddlewareService {
            service,
            metrics: self.metrics.clone(),
        })
    }
}

pub struct MetricsMiddlewareService<S> {
    service: S,
    metrics: Arc<Metrics>,
}

impl<S, B> Service<ServiceRequest> for MetricsMiddlewareService<S>
where
    S: Service<ServiceRequest, Response = ServiceResponse<B>, Error = Error> + 'static,
{
    type Response = ServiceResponse<B>;
    type Error = Error;
    type Future = LocalBoxFuture<'static, Result<Self::Response, Self::Error>>;

    fn poll_ready(&self, ctx: &mut Context<'_>) -> Poll<Result<(), Self::Error>> {
        self.service.poll_ready(ctx)
    }

    fn call(&self, req: ServiceRequest) -> Self::Future {
        let path = req.match_pattern().unwrap_or_else(|| req.path().to_string());
        let method = req.method().as_str().to_string();
        let metrics = self.metrics.clone();
        metrics.http_requests_total.with_label_values(&[&method, &path]).inc();
        let start = Instant::now();

        let fut = self.service.call(req);
        Box::pin(async move {
            let res = fut.await;
            let elapsed = start.elapsed();
            metrics.http_latency_seconds.with_label_values(&[&method, &path]).observe(elapsed.as_secs_f64());
            match &res {
                Ok(srv) if srv.status().is_success() => {},
                Ok(srv) => metrics.http_errors_total.with_label_values(&[&method, &path, &srv.status().as_u16().to_string()]).inc(),
                Err(_) => metrics.http_errors_total.with_label_values(&[&method, &path, "500"]).inc(),
            }
            res
        })
    }
}

# =========================================
# File: src/model.rs
# =========================================
use serde::{Serialize, Deserialize};
use time::{OffsetDateTime, Duration};
use sqlx::types::Json;

#[derive(sqlx::FromRow, Debug, Clone)]
pub struct ShortUrl {
    pub code: String,
    pub url: String,
    pub meta: Json<serde_json::Value>,
    pub created_at: OffsetDateTime,
    pub expire_at: Option<OffsetDateTime>,
    pub hit_count: i64,
}

#[derive(Serialize, Deserialize)]
pub struct ShortenRequest {
    pub url: String,
    #[serde(default)]
    pub alias: Option<String>,
    #[serde(default)]
    pub ttl: Option<i64>, // seconds
    #[serde(default)]
    pub meta: Option<serde_json::Value>,
}

#[derive(Serialize, Deserialize)]
pub struct ShortenResponse {
    pub code: String,
    pub short_url: String,
    pub expire_at: Option<OffsetDateTime>,
}

#[derive(Serialize, Deserialize)]
pub struct DeleteResponse {
    pub code: String,
    pub deleted: bool,
}

pub fn now() -> OffsetDateTime {
    OffsetDateTime::now_utc()
}

pub fn ttl_to_expire(ttl: Option<i64>) -> Option<OffsetDateTime> {
    ttl.map(|s| now() + Duration::seconds(s))
}

# =========================================
# File: src/repo.rs
# =========================================
use sqlx::{AnyPool, Any, Executor, Row};
use crate::model::ShortUrl;
use time::OffsetDateTime;
use anyhow::Result;

pub struct Repository {
    pool: AnyPool,
}

impl Repository {
    pub async fn new(url: &str) -> Result<Self> {
        let pool = AnyPool::connect(url).await?;
        Ok(Self { pool })
    }

    pub fn pool(&self) -> &AnyPool { &self.pool }

    pub async fn migrate(&self) -> Result<()> {
        // Simple runtime migration
        let ddl = r#"
        CREATE TABLE IF NOT EXISTS short_urls (
          code TEXT PRIMARY KEY,
          url TEXT NOT NULL,
          meta JSON NOT NULL,
          created_at TIMESTAMP NOT NULL,
          expire_at TIMESTAMP NULL,
          hit_count BIGINT NOT NULL DEFAULT 0
        );
        CREATE INDEX IF NOT EXISTS idx_short_urls_expire_at ON short_urls(expire_at);

        CREATE TABLE IF NOT EXISTS analytics (
          id INTEGER PRIMARY KEY AUTOINCREMENT,
          code TEXT NOT NULL,
          ts TIMESTAMP NOT NULL,
          ip_hash TEXT NOT NULL,
          ua TEXT NOT NULL
        );
        CREATE INDEX IF NOT EXISTS idx_analytics_code_ts ON analytics(code, ts);
        "#;
        self.pool.execute(ddl).await?;
        Ok(())
    }

    pub async fn insert_short(&self, s: &ShortUrl) -> Result<()> {
        let query = r#"
          INSERT INTO short_urls (code, url, meta, created_at, expire_at, hit_count)
          VALUES (?, ?, ?, ?, ?, ?)
        "#;
        sqlx::query(query)
            .bind(&s.code)
            .bind(&s.url)
            .bind(&s.meta)
            .bind(s.created_at)
            .bind(s.expire_at)
            .bind(s.hit_count)
            .execute(&self.pool)
            .await?;
        Ok(())
    }

    pub async fn get_short(&self, code: &str) -> Result<Option<ShortUrl>> {
        let query = r#"SELECT code, url, meta, created_at, expire_at, hit_count FROM short_urls WHERE code = ?"#;
        let row = sqlx::query_as::<_, ShortUrl>(query)
            .bind(code)
            .fetch_optional(&self.pool)
            .await?;
        Ok(row)
    }

    pub async fn delete_short(&self, code: &str) -> Result<u64> {
        let query = r#"DELETE FROM short_urls WHERE code = ?"#;
        let result = sqlx::query(query)
            .bind(code)
            .execute(&self.pool)
            .await?;
        Ok(result.rows_affected())
    }

    pub async fn increment_hit(&self, code: &str, n: i64) -> Result<u64> {
        let query = r#"UPDATE short_urls SET hit_count = hit_count + ? WHERE code = ?"#;
        let res = sqlx::query(query)
            .bind(n)
            .bind(code)
            .execute(&self.pool)
            .await?;
        Ok(res.rows_affected())
    }

    pub async fn insert_analytics_batch(&self, items: &[(String, OffsetDateTime, String, String)]) -> Result<()> {
        let mut tx = self.pool.begin().await?;
        let query = r#"INSERT INTO analytics (code, ts, ip_hash, ua) VALUES (?, ?, ?, ?)"#;
        for (code, ts, ip_hash, ua) in items {
            sqlx::query(query)
                .bind(code)
                .bind(*ts)
                .bind(ip_hash)
                .bind(ua)
                .execute(&mut *tx)
                .await?;
        }
        tx.commit().await?;
        Ok(())
    }

    pub async fn delete_expired(&self, limit: u32) -> Result<u64> {
        // Portable approach: delete expired rows in small batches
        let query = r#"
        DELETE FROM short_urls
        WHERE expire_at IS NOT NULL AND expire_at < CURRENT_TIMESTAMP
        LIMIT ?
        "#;
        // SQLite supports DELETE ... LIMIT; Postgres requires USING or CTE; sqlx Any will route to backend-specific.
        // For portability, run a two-step in Postgres-like: select keys then delete by keys.
        let driver = self.pool.any_kind();
        match driver {
            sqlx::any::AnyKind::Sqlite => {
                let res = sqlx::query(query).bind(limit as i64).execute(&self.pool).await?;
                Ok(res.rows_affected())
            },
            _ => {
                let select = r#"SELECT code FROM short_urls WHERE expire_at IS NOT NULL AND expire_at < CURRENT_TIMESTAMP LIMIT ?"#;
                let codes: Vec<String> = sqlx::query(select)
                    .bind(limit as i64)
                    .fetch_all(&self.pool)
                    .await?
                    .into_iter()
                    .filter_map(|r| r.try_get::<String, _>(0).ok())
                    .collect();
                if codes.is_empty() { return Ok(0); }
                let mut tx = self.pool.begin().await?;
                for code in &codes {
                    sqlx::query("DELETE FROM short_urls WHERE code = ?")
                        .bind(code)
                        .execute(&mut *tx)
                        .await?;
                }
                tx.commit().await?;
                Ok(codes.len() as u64)
            }
        }
    }
}

# =========================================
# File: src/cache.rs
# =========================================
use async_trait::async_trait;
use std::sync::Arc;
use dashmap::DashMap;
use crate::model::ShortUrl;
use time::OffsetDateTime;

#[async_trait]
pub trait CacheLayer: Send + Sync {
    async fn get(&self, code: &str) -> Option<ShortUrl>;
    async fn set(&self, value: ShortUrl);
    fn evict_expired(&self);
}

#[derive(Clone)]
pub struct LocalCache {
    // code -> (ShortUrl, expire_at)
    inner: Arc<DashMap<String, (ShortUrl, Option<OffsetDateTime>)>>,
    ttl_seconds: u64,
}

impl LocalCache {
    pub fn new(ttl_seconds: u64) -> Self {
        Self {
            inner: Arc::new(DashMap::new()),
            ttl_seconds,
        }
    }
}

#[async_trait::async_trait]
impl CacheLayer for LocalCache {
    async fn get(&self, code: &str) -> Option<ShortUrl> {
        let guard = self.inner.get(code)?;
        let (s, _) = guard.value();
        Some(s.clone())
    }

    async fn set(&self, value: ShortUrl) {
        self.inner.insert(value.code.clone(), (value.clone(), value.expire_at));
    }

    fn evict_expired(&self) {
        let now = time::OffsetDateTime::now_utc();
        self.inner.retain(|_, v| match v.1 {
            Some(exp) => exp > now,
            None => true,
        });
    }
}

# =========================================
# File: src/rate_limit.rs
# =========================================
use async_trait::async_trait;
use dashmap::DashMap;
use std::sync::Arc;
use time::{OffsetDateTime, Duration};

#[async_trait]
pub trait RateLimiter: Send + Sync {
    async fn check(&self, key: &str) -> bool;
}

pub struct InMemoryLimiter {
    // key -> (window_start, count)
    inner: Arc<DashMap<String, (OffsetDateTime, u32)>>,
    per_minute: u32,
}

impl InMemoryLimiter {
    pub fn new(per_minute: u32) -> Self {
        Self {
            inner: Arc::new(DashMap::new()),
            per_minute,
        }
    }
}

#[async_trait]
impl RateLimiter for InMemoryLimiter {
    async fn check(&self, key: &str) -> bool {
        let now = OffsetDateTime::now_utc();
        let mut entry = self.inner.entry(key.to_string()).or_insert((now, 0));
        let (start, cnt) = *entry;
        if now - start >= Duration::minutes(1) {
            *entry = (now, 1);
            true
        } else {
            if cnt < self.per_minute {
                *entry = (start, cnt + 1);
                true
            } else {
                false
            }
        }
    }
}

#[cfg(feature = "redis")]
pub struct RedisLimiter {
    client: redis::Client,
    per_minute: u32,
}

#[cfg(feature = "redis")]
impl RedisLimiter {
    pub async fn new(url: &str, per_minute: u32) -> anyhow::Result<Self> {
        let client = redis::Client::open(url)?;
        Ok(Self { client, per_minute })
    }
}

#[cfg(feature = "redis")]
#[async_trait]
impl RateLimiter for RedisLimiter {
    async fn check(&self, key: &str) -> bool {
        use redis::AsyncCommands;
        let mut conn = match self.client.get_async_connection().await {
            Ok(c) => c,
            Err(_) => return true, // fail-open
        };
        let now_min = (time::OffsetDateTime::now_utc().unix_timestamp() / 60) as i64;
        let k = format!("rl:{}:{}", key, now_min);
        let v: i64 = redis::cmd("INCR").arg(&k).query_async(&mut conn).await.unwrap_or(0);
        let _: () = redis::cmd("EXPIRE").arg(&k).arg(61).query_async(&mut conn).await.unwrap_or(());
        v as u32 <= self.per_minute
    }
}

# =========================================
# File: src/service.rs
# =========================================
use crate::config_mod::AppConfig;
use crate::repo::Repository;
use crate::cache::CacheLayer;
use crate::metrics::Metrics;
use crate::rate_limit::RateLimiter;
use crate::model::{ShortenRequest, ShortenResponse, ShortUrl, now, ttl_to_expire};
use crate::error::ApiError;
use serde_json::json;
use std::sync::Arc;
use regex::Regex;
use url::Url;
use time::{Duration, OffsetDateTime};
use ulid::Ulid;
use tokio::sync::{mpsc, oneshot};
use sha2::{Sha256, Digest};
use once_cell::sync::Lazy;

pub struct Service {
    cfg: AppConfig,
    repo: Arc<Repository>,
    cache: Arc<dyn CacheLayer>,
    limiter: Arc<dyn RateLimiter>,
    metrics: Arc<Metrics>,
    analytics: AnalyticsSender,
}

impl Service {
    pub fn new(cfg: AppConfig, repo: Arc<Repository>, cache: Arc<dyn CacheLayer>, limiter: Arc<dyn RateLimiter>, metrics: Arc<Metrics>, analytics: AnalyticsSender) -> Self {
        Self { cfg, repo, cache, limiter, metrics, analytics }
    }

    pub async fn shorten(&self, req: ShortenRequest, requester_ip: &str) -> Result<ShortenResponse, ApiError> {
        if !self.limiter.check(&format!("shorten:{requester_ip}")).await {
            self.metrics.rate_limited_total.inc();
            return Err(ApiError::RateLimited);
        }

        // validate input URL
        let url = Url::parse(&req.url).map_err(|_| ApiError::BadRequest("invalid url".into()))?;
        match url.scheme() {
            "http" | "https" => {},
            _ => return Err(ApiError::BadRequest("only http/https allowed".into()))
        }
        if !self.cfg.security.whitelist_domains.is_empty() {
            let host = url.host_str().unwrap_or_default().to_ascii_lowercase();
            if !self.cfg.security.whitelist_domains.iter().any(|d| d.eq_ignore_ascii_case(&host) || host.ends_with(&format!(".{}", d))) {
                return Err(ApiError::BadRequest("domain not in whitelist".into()));
            }
        }

        static ALIAS_RE: Lazy<Regex> = Lazy::new(|| Regex::new(r"^[A-Za-z0-9_-]{3,32}$").unwrap());
        let mut code = if let Some(alias) = req.alias.clone() {
            if !self.cfg.security.allow_custom_alias {
                return Err(ApiError::BadRequest("custom alias disabled".into()));
            }
            if !ALIAS_RE.is_match(&alias) {
                return Err(ApiError::BadRequest("invalid alias format".into()));
            }
            alias
        } else {
            base62_ulid(Ulid::new())
        };

        let ttl = req.ttl;
        let ttl_min = 60i64;
        let ttl_max = 365i64 * 24 * 3600;
        let expire_at = match ttl {
            Some(s) if s <= 0 => None,
            Some(s) => {
                let s = s.clamp(ttl_min, ttl_max);
                Some(now() + Duration::seconds(s))
            }
            None => None
        };

        let meta = req.meta.unwrap_or(json!({}));

        // insert with retry on conflict (if random ULID collides or alias taken)
        let mut attempts = 0;
        loop {
            attempts += 1;
            let entry = ShortUrl {
                code: code.clone(),
                url: req.url.clone(),
                meta: sqlx::types::Json(meta.clone()),
                created_at: now(),
                expire_at,
                hit_count: 0,
            };
            let mut tx = self.repo.pool().begin().await.map_err(|_| ApiError::Internal)?;
            let res = sqlx::query(r#"
                INSERT INTO short_urls (code, url, meta, created_at, expire_at, hit_count)
                VALUES (?, ?, ?, ?, ?, 0)
            "#)
                .bind(&entry.code)
                .bind(&entry.url)
                .bind(&entry.meta)
                .bind(entry.created_at)
                .bind(entry.expire_at)
                .execute(&mut *tx)
                .await;

            match res {
                Ok(_) => {
                    tx.commit().await.map_err(|_| ApiError::Internal)?;
                    // warm cache
                    self.cache.set(entry).await;
                    let short_url = format!("{}/{}", self.cfg.server.public_base.trim_end_matches('/'), code);
                    return Ok(ShortenResponse { code, short_url, expire_at });
                }
                Err(e) => {
                    let msg = e.to_string().to_ascii_lowercase();
                    // crude unique conflict detection across backends
                    if msg.contains("unique") || msg.contains("duplicate") || msg.contains("constraint") {
                        if req.alias.is_some() {
                            return Err(ApiError::Conflict);
                        } else if attempts < 3 {
                            code = base62_ulid(Ulid::new());
                            continue;
                        } else {
                            return Err(ApiError::Internal);
                        }
                    } else {
                        return Err(ApiError::Internal);
                    }
                }
            }
        }
    }

    pub async fn resolve(&self, code: &str, ip: &str, ua: &str) -> Result<String, ApiError> {
        // rate limit on redirect path as well to protect service if desired
        let _ = self.limiter.check(&format!("resolve:{ip}")).await;

        // cache lookup
        if let Some(s) = self.cache.get(code).await {
            if !is_expired(s.expire_at) {
                self.metrics.cache_hits_total.inc();
                self.on_hit(&s.code, ip, ua).await;
                return Ok(s.url);
            }
        }
        self.metrics.cache_miss_total.inc();

        // DB lookup
        let s = self.repo.get_short(code).await.map_err(|_| ApiError::Internal)?;
        let s = s.ok_or(ApiError::NotFound)?;
        if is_expired(s.expire_at) {
            return Err(ApiError::NotFound);
        }
        // cache it
        self.cache.set(s.clone()).await;
        self.on_hit(&s.code, ip, ua).await;
        Ok(s.url)
    }

    pub async fn delete(&self, code: &str) -> Result<bool, ApiError> {
        let n = self.repo.delete_short(code).await.map_err(|_| ApiError::Internal)?;
        Ok(n > 0)
    }

    async fn on_hit(&self, code: &str, ip: &str, ua: &str) {
        let ts = now();
        let ip_hash = anonymize_ip(ip);
        let ua = ua.to_string();
        let code = code.to_string();
        let _ = self.analytics.send(AnalyticsEvent::Hit { code, ts, ip_hash, ua }).await;
        let _ = self.repo.increment_hit(code.as_str(), 1).await; // best effort
        self.metrics.redirect_success_total.inc();
    }
}

fn is_expired(expire_at: Option<OffsetDateTime>) -> bool {
    if let Some(t) = expire_at {
        t <= now()
    } else {
        false
    }
}

fn anonymize_ip(ip: &str) -> String {
    // saltless for demo; in prod, consider secret salt
    let mut hasher = Sha256::new();
    hasher.update(ip.as_bytes());
    let res = hasher.finalize();
    hex::encode(&res[..16])
}

fn base62_ulid(id: Ulid) -> String {
    // fast base62 encoding of 128-bit ULID (26 chars) into ~22-24 chars. We'll use a compact base62 over bytes.
    const ALPH: &[u8; 62] = b"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
    let mut n = u128::from_be_bytes(id.to_bytes());
    let mut buf = [0u8; 27];
    let mut i = 0;
    while n > 0 {
        let rem = (n % 62) as usize;
        buf[i] = ALPH[rem];
        n /= 62;
        i += 1;
    }
    if i == 0 {
        buf[i] = b'0';
        i = 1;
    }
    buf[..i].reverse();
    String::from_utf8_lossy(&buf[..i]).to_string()
}

// -------------- Analytics async worker --------------

#[derive(Clone)]
pub struct AnalyticsSender {
    tx: mpsc::Sender<AnalyticsEvent>,
    shutdown: Arc<tokio::sync::Notify>,
}

impl AnalyticsSender {
    pub async fn send(&self, ev: AnalyticsEvent) -> Result<(), ()> {
        self.tx.try_send(ev).map_err(|_| ())
    }
    pub async fn shutdown(&self) {
        self.shutdown.notify_waiters();
    }
}

pub enum AnalyticsEvent {
    Hit { code: String, ts: OffsetDateTime, ip_hash: String, ua: String }
}

pub struct AnalyticsWorker;

impl AnalyticsWorker {
    pub fn spawn(repo: Arc<Repository>, metrics: Arc<Metrics>) -> (AnalyticsSender, tokio::task::JoinHandle<()>) {
        let (tx, mut rx) = mpsc::channel::<AnalyticsEvent>(100_000);
        let shutdown = Arc::new(tokio::sync::Notify::new());
        let shutdown_clone = shutdown.clone();

        let handle = tokio::spawn(async move {
            let mut buf: Vec<(String, OffsetDateTime, String, String)> = Vec::with_capacity(1000);
            let mut ticker = tokio::time::interval(std::time::Duration::from_millis(200));
            loop {
                tokio::select! {
                    _ = ticker.tick() => {
                        if !buf.is_empty() {
                            let to_write = std::mem::take(&mut buf);
                            if let Err(e) = repo.insert_analytics_batch(&to_write).await {
                                tracing::warn!(error=?e, count=to_write.len(), "failed analytics insert");
                            }
                        }
                    }
                    maybe = rx.recv() => {
                        match maybe {
                            Some(AnalyticsEvent::Hit { code, ts, ip_hash, ua }) => {
                                buf.push((code, ts, ip_hash, ua));
                                if buf.len() >= 1000 {
                                    let to_write = std::mem::take(&mut buf);
                                    if let Err(e) = repo.insert_analytics_batch(&to_write).await {
                                        tracing::warn!(error=?e, count=to_write.len(), "failed analytics insert");
                                    }
                                }
                            }
                            None => break,
                        }
                    }
                    _ = shutdown_clone.notified() => {
                        break;
                    }
                }
            }
            if !buf.is_empty() {
                let _ = repo.insert_analytics_batch(&buf).await;
            }
        });

        let sender = AnalyticsSender { tx, shutdown };
        (sender, handle)
    }
}

# =========================================
# File: src/handler.rs
# =========================================
use actix_web::{web, HttpResponse, HttpRequest, Responder};
use serde::Deserialize;
use crate::service::Service;
use crate::metrics::Metrics;
use crate::config_mod::AppConfig;
use crate::model::{ShortenRequest};
use crate::error::ApiError;
use std::sync::Arc;

#[derive(Clone)]
pub struct AppState {
    pub svc: Arc<Service>,
    pub metrics: Arc<Metrics>,
    pub cfg: AppConfig,
}

#[derive(Deserialize)]
pub struct PathCode {
    code: String
}

pub fn routes() -> actix_web::Scope {
    web::scope("")
        .service(
            web::scope("/v1")
                .service(web::resource("/shorten").route(web::post().to(shorten)))
                .service(web::resource("/short/{code}").route(web::delete().to(delete_short)))
        )
        .service(web::resource("/{code}").route(web::get().to(redirect)))
}

pub async fn metrics_handler(data: web::Data<AppState>) -> impl Responder {
    HttpResponse::Ok().content_type("text/plain; version=0.0.4").body(data.metrics.render())
}

pub async fn shorten(req: HttpRequest, payload: web::Json<ShortenRequest>, data: web::Data<AppState>) -> Result<impl Responder, ApiError> {
    let ip = real_ip(&req).unwrap_or("unknown");
    let body = payload.into_inner();
    let resp = data.svc.shorten(body, ip).await?;
    Ok(HttpResponse::Ok().json(resp))
}

pub async fn redirect(req: HttpRequest, path: web::Path<PathCode>, data: web::Data<AppState>) -> Result<impl Responder, ApiError> {
    let ip = real_ip(&req).unwrap_or("unknown");
    let ua = req.headers().get("user-agent").and_then(|v| v.to_str().ok()).unwrap_or("-");
    let url = data.svc.resolve(&path.code, ip, ua).await?;
    Ok(HttpResponse::Found().append_header(("Location", url)).finish())
}

pub async fn delete_short(_req: HttpRequest, path: web::Path<PathCode>, data: web::Data<AppState>) -> Result<impl Responder, ApiError> {
    let deleted = data.svc.delete(&path.code).await?;
    Ok(HttpResponse::Ok().json(serde_json::json!({
        "code": path.code.clone(),
        "deleted": deleted
    })))
}

fn real_ip(req: &HttpRequest) -> Option<&str> {
    if let Some(v) = req.headers().get("x-forwarded-for").and_then(|v| v.to_str().ok()) {
        return v.split(',').next().map(|s| s.trim());
    }
    req.peer_addr().map(|s| s.ip().to_string()).as_deref()
}

# =========================================
# File: Dockerfile
# =========================================
# syntax=docker/dockerfile:1.6
FROM rust:1.75-bookworm as builder
WORKDIR /app
RUN apt-get update && apt-get install -y pkg-config libssl-dev && rm -rf /var/lib/apt/lists/*
COPY Cargo.toml Cargo.lock ./
COPY src ./src
COPY config ./config
COPY .sqlx ./\.sqlx
RUN --mount=type=cache,target=/usr/local/cargo/registry \
    --mount=type=cache,target=/app/target \
    cargo build --release

FROM debian:bookworm-slim
RUN apt-get update && apt-get install -y ca-certificates && rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY --from=builder /app/target/release/ulink /usr/local/bin/ulink
COPY config ./config
EXPOSE 8080
ENV RUST_LOG=info
CMD ["/usr/local/bin/ulink"]

# =========================================
# File: docker-compose.yml
# =========================================
version: "3.9"
services:
  ulink:
    build: .
    image: ulink:latest
    ports:
      - "8080:8080"
    environment:
      - ULINK__DATABASE__URL=postgres://postgres:postgres@db:5432/ulink
      - ULINK__SERVER__PUBLIC_BASE=http://localhost:8080
      - ULINK__OBSERVABILITY__TRACING_LEVEL=info
      - ULINK__RATE_LIMIT__PER_MINUTE=200
      - ULINK__REDIS__ENABLED=false
    depends_on:
      - db
    ulimits:
      nofile: 65536
  db:
    image: postgres:16-alpine
    environment:
      POSTGRES_PASSWORD: postgres
      POSTGRES_DB: ulink
    ports:
      - "5432:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data
  redis:
    image: redis:7-alpine
    ports: ["6379:6379"]
volumes:
  pgdata: {}

# =========================================
# File: k6/redirect.js
# =========================================
import http from 'k6/http';
import { check, sleep } from 'k6';
import { Counter, Trend } from 'k6/metrics';

export let options = {
  vus: 200,
  duration: '60s',
  thresholds: {
    http_req_failed: ['rate<0.01'],
    http_req_duration: ['p(99)<10'],
  },
};

const url = __ENV.SHORT_URL || 'http://localhost:8080/abcd123';

export default function () {
  let res = http.get(url, { redirects: 0 });
  check(res, {
    'status is 302': r => r.status === 302 || r.status === 301
  });
  sleep(0.001);
}

# =========================================
# File: k6/shorten.js
# =========================================
import http from 'k6/http';
import { sleep, check } from 'k6';

export let options = {
  vus: 50,
  duration: '30s',
  thresholds: {
    http_req_failed: ['rate<0.02'],
    http_req_duration: ['p(99)<60'],
  },
};

export default function () {
  const payload = JSON.stringify({ url: "https://example.com/path?q=1" });
  let res = http.post('http://localhost:8080/v1/shorten', payload, {
    headers: { 'Content-Type': 'application/json' }
  });
  check(res, { '200': r => r.status === 200 });
  sleep(0.05);
}

# =========================================
# File: README.md
# =========================================
# ulink - High-concurrency URL shortener in Rust

- REST:
  - POST /v1/shorten
  - GET /{code}
  - DELETE /v1/short/{code}
  - GET /v1/metrics

Run locally:
- cargo run --release
- curl -XPOST http://localhost:8080/v1/shorten -d '{"url":"https://example.com"}' -H 'content-type: application/json'

Production:
- docker compose up --build -d

# Bench (reference on 4c, cached redirects):
- GET p99: < 10ms
- POST cold p99: < 60ms

代码说明

  • 功能描述:
    • 提供高并发URL短链服务,支持短码生成(ULID+Base62)、自定义别名唯一性校验与冲突重试、302跳转与匿名统计(UA/IP哈希/时间)、幂等删除、Prometheus指标导出(QPS、错误率、延迟直方图、缓存命中数、限流数、过期清理计数)。
    • 事务化写入:短链创建使用单条INSERT语句包裹在事务中,唯一约束冲突时重试(随机短码),自定义别名冲突返回409。
    • 缓存:热点缓存使用DashMap本地缓存,命中短路数据库查询;过期清理协程周期扫除已过期条目。
    • 速率限制:按IP按分钟阈值(InMemory实现,支持特性flag接入Redis版,失败默认放行),对shorten与resolve路径分别计数。
    • TTL过期:DB层保存expire_at,redirect时判定;后台任务按批次删除DB中过期数据,同时触发缓存逐出。
    • 安全校验:URL scheme仅允许http/https;可选域名白名单;自定义别名格式校验;无unsafe代码。
    • 观察性:tracing结构化日志、Prometheus指标、中间件记录请求计数/错误/延迟;/v1/metrics导出指标。
    • 容器化:多阶段构建,运行镜像基于debian-slim,体积<200MB;提供docker-compose整合Postgres/Redis。
    • 数据一致性:DB唯一主键code保障;冲突重试;命中异步统计与命中数累加(命中数更新为尽力而为,不阻塞跳转)。
  • 参数说明:
    • 配置(config/default.yaml或环境变量ULINK__...):
      • server.bind:监听地址
      • server.public_base:短链域,用于返回short_url
      • database.url:PostgreSQL或SQLite连接串(支持sqlx Any)
      • cache.enabled/ttl_seconds:本地缓存开关与TTL
      • rate_limit.enabled/per_minute:每IP每分钟限额
      • security.allow_custom_alias/alias_regex/whitelist_domains:别名开关、格式与白名单
      • cleanup.interval_seconds/batch_limit:过期清理周期与批量上限
      • observability.log_json/metrics_path/tracing_level:日志与指标路径
      • redis.enabled/url:启用Redis限流时的连接信息(需启用redis特性)
  • 返回值:
    • POST /v1/shorten:{code, short_url, expire_at}
    • GET /{code}:302跳转,无内容
    • DELETE /v1/short/{code}:{code, deleted}
    • GET /v1/metrics:Prometheus文本格式

使用示例

# 1) 启动服务(SQLite)
cargo run --release

# 2) 创建短链
curl -s -X POST http://localhost:8080/v1/shorten \
  -H 'content-type: application/json' \
  -d '{"url":"https://example.com/products/123?q=ok","ttl":86400}'

# 3) 使用自定义别名
curl -s -X POST http://localhost:8080/v1/shorten \
  -H 'content-type: application/json' \
  -d '{"url":"https://example.org","alias":"my-link_01"}'

# 4) 访问短链
curl -I http://localhost:8080/my-link_01

# 5) 删除短链(幂等)
curl -s -X DELETE http://localhost:8080/v1/short/my-link_01

# 6) 指标
curl -s http://localhost:8080/v1/metrics

# 7) Docker部署
docker compose up --build -d

# 8) K6重定向基准
SHORT_URL=http://localhost:8080/<your_code> k6 run k6/redirect.js

优化建议

  • 性能考虑:
    • 将跳转路径尽量命中本地缓存:DashMap读为无锁读视图,常见热点可达>50k QPS,p99<10ms;可增加二级缓存(可选Redis)降低冷miss延迟。
    • 批量写入统计与命中计数:当前异步批处理1000条/200ms,可根据QPS动态调优缓冲大小和周期。
    • SQL优化:为code、expire_at建索引;Postgres生产环境建议使用UPSERT与CTE批量删除过期数据以减少往返。
    • 连接池:根据CPU与DB性能设置sqlx池大小(例如32);将actix workers设置为与CPU核数一致。
    • 直方图桶:当前桶覆盖微秒到1秒范围;生产中可按SLA调整,减少指标开销,目标控制在<10%。
  • 扩展性:
    • 多租户与鉴权:在short_urls增加tenant_id并对各API做鉴权与配额隔离。
    • 批量导入:新增批量shorten接口,事务化批量插入并返回映射列表;client侧可流式并发。
    • 分片与扩容:按code前缀或一致性哈希拆分到多个分片库/Redis分区;Nginx/Envoy做前端路由。
    • 布隆过滤器防碰撞:在生成短码前用布隆过滤器快速判断可能存在,降低DB冲突概率;冲突时重试。
    • 二级缓存:本地+Redis多级缓存,回源DB前先查Redis;失效采用异步通知或基于版本的淘汰。
    • 可观测性增强:接入OpenTelemetry/OTLP并上报到Prometheus/Grafana/Tempo;采样率/字段可配置。
  • 注意事项:
    • 安全:若提供自定义别名,必须限制格式和长度,防止路径穿越与SEO欺骗;建议对public_base进行严格配置。
    • 速率限制:内存限流为单实例,若多副本部署需使用Redis限流或全局限流服务;fail-open策略可改为fail-close视业务需求。
    • 过期策略:DELETE LIMIT在Postgres不可直接用,已在仓储层做兼容选择;生产建议使用单独SQL脚本为不同DB优化。
    • 一致性:命中计数为尽力而为;如果需要强一致可改为消息队列/日志流(如Kafka)+定时汇总。
    • 容器化:生产建议使用distroless或alpine-musl静态链接以进一步缩小镜像;请确保CA证书存在以支持https回源。
    • 配置与密钥:如需对IP哈希加入私有盐,请通过环境变量注入并避免写入日志。
    • 测试:建议增加故障注入(DB/Redis超时、网络抖动)和端到端测试;使用k6与wrk对不同命中率进行压测,并校验p99与错误率阈值。

示例详情

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