gctools/database/bcp_log.py

import re
from dataclasses import dataclass
from datetime import datetime
from pathlib import Path


@dataclass
class BulkcopyResult:
    file_name: str
    timestamp: datetime
    imported: int = -1
    exported: int = -1
    ignored: int = 0
    import_duration: float = 0.0
    export_duration: float = 0.0
    file_size: int = -1

    @property
    def missing(self) -> int:
        return self.exported - self.imported - self.ignored

    def to_csv(self) -> str:
        return (
            f"{self.file_name};{self.timestamp.strftime('%Y-%m-%dT%H:%M:%S')};"
            + f"{self.exported};{self.imported};{self.ignored};{self.missing};"
            + f"{self.export_duration};{self.import_duration};"
            + f"{self.file_size}"
        )

    def __str__(self) -> str:
        return "\n".join(
            [
                f"Filename: {self.file_name}",
                f"Last run: {self.timestamp.strftime('%d.%m.%Y %H:%M')}",
                "",
                f"Exported: {self.exported:>7}",
                f"Imported: {self.imported:>7}",
                f"Ignored:  {self.ignored:>7}",
                f"Missing:  {self.missing:>7}",
                "",
                f"Duration: {self.export_duration:>11} s",
                f"          {self.import_duration:>11} s",
                "",
                f"Filesize: {self.file_size:>7}",
            ]
        )


def check_logfiles(prefix: str, base_dir: str) -> BulkcopyResult:
    ts = datetime.fromtimestamp(Path(f"{base_dir}/{prefix}.bcp2.log").stat().st_mtime)
    result = BulkcopyResult(file_name=prefix, timestamp=ts)

    with open(f"{base_dir}/{prefix}.in.log", "r") as frh:
        result.ignored = len(frh.readlines()) // 2

    # info output of export
    with open(f"{base_dir}/{prefix}.bcp1.log", "r", encoding="cp850", errors="ignore") as frh:
        raw_logs = frh.read()
        result.exported = rows_copied(raw_logs)
        result.export_duration = total_time(raw_logs)

    # info output of import
    with open(f"{base_dir}/{prefix}.bcp2.log", "r", encoding="cp850", errors="ignore") as frh:
        raw_logs = frh.read()
        result.imported = rows_copied(raw_logs)
        result.import_duration = total_time(raw_logs)

    csv_file = Path(f"{base_dir}/{prefix}.csv")
    if csv_file.exists():
        result.file_size = csv_file.stat().st_size
    return result


def rows_copied(raw_logs: str) -> int:
    match = re.search(r"(\d+) Zeilen kopiert.", raw_logs)
    if match:
        return int(match.group(1))
    match = re.search(r"(\d+) rows copied.", raw_logs)
    if match:
        return int(match.group(1))
    return -1


def total_time(raw_logs: str) -> float:
    match = re.search(r"Zeit .* gesamt\s*: (\d+)", raw_logs)
    if match:
        return int(match.group(1)) / 1000
    match = re.search(r"Clock Time .* Total\s*: (\d+)", raw_logs)
    if match:
        return int(match.group(1)) / 1000
    return 0.0


def check_directory(base_dir: str, res: list[BulkcopyResult] | None = None) -> list[BulkcopyResult]:
    if res is None:
        res = []
    for folder in Path(base_dir).glob("*"):
        if not folder.is_dir():
            continue
        res = check_directory(str(folder), res)

    for filename in Path(base_dir).glob("*.bcp2.log"):
        stem = filename.name[:-9]
        res.append(check_logfiles(stem, base_dir))
    return res


def export_log_csv(res: list[BulkcopyResult], output_file: str):
    with open(output_file, "w") as fwh:
        fwh.write("filename;timestamp;imported;exported;ignored;missing;import_duration;export_duration;file_size\n")
        for log in res:
            fwh.write(log.to_csv() + "\n")


def bcp_log(logs_dir: str, output_file: str):
    res = check_directory(logs_dir)
    export_log_csv(res, output_file)


if __name__ == "__main__":
    base_dir = str(Path(__file__).parent)
    bcp_log(base_dir + "/SQL/temp", base_dir + "/SQL/bcp.csv.log")
    # check_logfiles('ORDER_LINE_1')