arcx


Namearcx JSON
Version 0.2.1 PyPI version JSON
download
home_pageNone
SummaryArchive (safe)-Removal Rolling Toolbox
upload_time2024-08-14 14:06:08
maintainerNone
docs_urlNone
authorAntonio Mariani
requires_python<4.0,>=3.10
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # arcX - Archive, Rm & Clean toolboX

ArcX is a versatile toolbox designed to streamline data management by automating key tasks. Whether you're handling
experiment outputs or maintaining clean directories, ArcX simplifies the process with a range of powerful tools.

* **Archiving**: Seamlessly archive Oceanic experiment outputs using a flexible YAML configuration file. ArcX takes care
  of organizing and storing your data without manual intervention.
* **Safe File Removal**: Efficiently remove files that already have a local copy. ArcX ensures that only unnecessary
  files are deleted, safeguarding important data.
* **Comprehensive Directory Cleaning**: Clean multiple directories with a single command. ArcX offers various cleaning
  options and leverages a YAML configuration file to specify exactly what to delete and how to do it.

## Installation

### Via pip

```shell
pip install arcx
```

### Via conda/mamba

```shell
mamba install arcx
```

## Usage

```shell
Usage: arcx [OPTIONS] COMMAND [ARGS]...

Options:
  --version  Show the version and exit.
  --help     Show this message and exit.

Commands:
  rolling
  saferm
  update-md5
```

## Rolling

To keep a directory under rolling, use the command:

```shell
Usage: cli.py rolling [OPTIONS]

Options:
  -c, --config PATH  [required]
  --dry-run          Dry run mode.
  -d, --debug        Enable debug mode.
  --help             Show this message and exit.
```

### Rolling Configuration File

Here a template of a rolling configuration file:

```yaml
- !CleanPath
    path: $PATH_UNDER_ROLLING
    fmt: ????????   # YYYYMMDD
    safe:
        to_keep: X
        reference_paths:
            - <REF1>
            - <REF2>
    conditional:
        to_keep: Y
        expected_files:
            - file.exe
            - tmp.nc
    force:
        to_keep: Z
```

let's comment each section.

<details>
  <summary>
    <b>CleanPath object</b>
  </summary>

With this, we start to declare a list of !CleanPath objects with two mandatory attributes:

```yaml
- !CleanPath
    path: $PATH_UNDER_ROLLING
    fmt: ????????   # YYYYMMDD
```

* `path`: it's the path to keep under rolling
* `fmt`: it's a string bash that represent the format of file/dir to delete. It can contains jolly characters `?` or `*`

</details>

<details>
  <summary>
    <b>Safe</b>
  </summary>

```yaml
  safe:
      to_keep: X
      reference_paths:
          - <REF1>
          - <REF2>
```

* `safe`: means for safe rolling, which means **delete a file only if an identical local copy already exists**
* `to_keep`: how much dir/file to not include in the rolling
* `reference_paths`: a list of path where to find if a local copy already exists

To consider that the safe mode doesn't remove the dir under rolling.
</details>

<details>
  <summary>
    <b>Conditional</b>
  </summary>
#### Conditional

```yaml
  conditional:
      to_keep: Y
      expected_files:
          - file.exe
          - tmp.nc
```

* `conditional`: specify to remove a dir if some conditions are meet
* `to_keep`: how much dir/file to not include in the rolling
* `expected_files`: specify the exact list of files expected to find in rolling path to trigger the rm operations. The
  filename can contains jolly character `?` and `*`

</details>

<details>
  <summary>
    <b>Force</b>
  </summary>

```yaml
    force: # optional
        to_keep: Z
```

* `force`: Enable path rm without any check
* `to_keep`: how much dir/file to not include in the rolling

</details>

---

## Update md5 dir

A requirement to safe clean, is to compute in advance the md5 of all files in the rolling path using the command:

```shell
update-md5 [OPTIONS]

Options:
  -p, --path PATH  [required]
  -d, --debug      Enable debug mode.
  --help           Show this message and exit.
```

The command will create in the directory a file called `.dir_md5.txt` with the following structure:

```txt
md5hash filename1
md5hash filename2
```

---

## Safe Clean

Safe Rm command is the equivalent of safe rm rolling section: it removes files from **clean path** only if exists an
identical copy in **keep path**

```shell
Usage: cli.py saferm [OPTIONS]

Options:
  --keep PATH    [required]
  --clean PATH   [required]
  -f, --force    Delete files without confirm request
  -d, --dry-run  Disable file removal
  -d, --debug    Enable debug mode.
  --help         Show this message and exit.
```

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "arcx",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.10",
    "maintainer_email": null,
    "keywords": null,
    "author": "Antonio Mariani",
    "author_email": "antonio.mariani@cmcc.it",
    "download_url": "https://files.pythonhosted.org/packages/ca/11/bb97e18ee8dc2b06fede6a51fffa13d36da2df76022bbcf3a7b6fe372a60/arcx-0.2.1.tar.gz",
    "platform": null,
    "description": "# arcX - Archive, Rm & Clean toolboX\n\nArcX is a versatile toolbox designed to streamline data management by automating key tasks. Whether you're handling\nexperiment outputs or maintaining clean directories, ArcX simplifies the process with a range of powerful tools.\n\n* **Archiving**: Seamlessly archive Oceanic experiment outputs using a flexible YAML configuration file. ArcX takes care\n  of organizing and storing your data without manual intervention.\n* **Safe File Removal**: Efficiently remove files that already have a local copy. ArcX ensures that only unnecessary\n  files are deleted, safeguarding important data.\n* **Comprehensive Directory Cleaning**: Clean multiple directories with a single command. ArcX offers various cleaning\n  options and leverages a YAML configuration file to specify exactly what to delete and how to do it.\n\n## Installation\n\n### Via pip\n\n```shell\npip install arcx\n```\n\n### Via conda/mamba\n\n```shell\nmamba install arcx\n```\n\n## Usage\n\n```shell\nUsage: arcx [OPTIONS] COMMAND [ARGS]...\n\nOptions:\n  --version  Show the version and exit.\n  --help     Show this message and exit.\n\nCommands:\n  rolling\n  saferm\n  update-md5\n```\n\n## Rolling\n\nTo keep a directory under rolling, use the command:\n\n```shell\nUsage: cli.py rolling [OPTIONS]\n\nOptions:\n  -c, --config PATH  [required]\n  --dry-run          Dry run mode.\n  -d, --debug        Enable debug mode.\n  --help             Show this message and exit.\n```\n\n### Rolling Configuration File\n\nHere a template of a rolling configuration file:\n\n```yaml\n- !CleanPath\n    path: $PATH_UNDER_ROLLING\n    fmt: ????????   # YYYYMMDD\n    safe:\n        to_keep: X\n        reference_paths:\n            - <REF1>\n            - <REF2>\n    conditional:\n        to_keep: Y\n        expected_files:\n            - file.exe\n            - tmp.nc\n    force:\n        to_keep: Z\n```\n\nlet's comment each section.\n\n<details>\n  <summary>\n    <b>CleanPath object</b>\n  </summary>\n\nWith this, we start to declare a list of !CleanPath objects with two mandatory attributes:\n\n```yaml\n- !CleanPath\n    path: $PATH_UNDER_ROLLING\n    fmt: ????????   # YYYYMMDD\n```\n\n* `path`: it's the path to keep under rolling\n* `fmt`: it's a string bash that represent the format of file/dir to delete. It can contains jolly characters `?` or `*`\n\n</details>\n\n<details>\n  <summary>\n    <b>Safe</b>\n  </summary>\n\n```yaml\n  safe:\n      to_keep: X\n      reference_paths:\n          - <REF1>\n          - <REF2>\n```\n\n* `safe`: means for safe rolling, which means **delete a file only if an identical local copy already exists**\n* `to_keep`: how much dir/file to not include in the rolling\n* `reference_paths`: a list of path where to find if a local copy already exists\n\nTo consider that the safe mode doesn't remove the dir under rolling.\n</details>\n\n<details>\n  <summary>\n    <b>Conditional</b>\n  </summary>\n#### Conditional\n\n```yaml\n  conditional:\n      to_keep: Y\n      expected_files:\n          - file.exe\n          - tmp.nc\n```\n\n* `conditional`: specify to remove a dir if some conditions are meet\n* `to_keep`: how much dir/file to not include in the rolling\n* `expected_files`: specify the exact list of files expected to find in rolling path to trigger the rm operations. The\n  filename can contains jolly character `?` and `*`\n\n</details>\n\n<details>\n  <summary>\n    <b>Force</b>\n  </summary>\n\n```yaml\n    force: # optional\n        to_keep: Z\n```\n\n* `force`: Enable path rm without any check\n* `to_keep`: how much dir/file to not include in the rolling\n\n</details>\n\n---\n\n## Update md5 dir\n\nA requirement to safe clean, is to compute in advance the md5 of all files in the rolling path using the command:\n\n```shell\nupdate-md5 [OPTIONS]\n\nOptions:\n  -p, --path PATH  [required]\n  -d, --debug      Enable debug mode.\n  --help           Show this message and exit.\n```\n\nThe command will create in the directory a file called `.dir_md5.txt` with the following structure:\n\n```txt\nmd5hash filename1\nmd5hash filename2\n```\n\n---\n\n## Safe Clean\n\nSafe Rm command is the equivalent of safe rm rolling section: it removes files from **clean path** only if exists an\nidentical copy in **keep path**\n\n```shell\nUsage: cli.py saferm [OPTIONS]\n\nOptions:\n  --keep PATH    [required]\n  --clean PATH   [required]\n  -f, --force    Delete files without confirm request\n  -d, --dry-run  Disable file removal\n  -d, --debug    Enable debug mode.\n  --help         Show this message and exit.\n```\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "Archive (safe)-Removal Rolling Toolbox",
    "version": "0.2.1",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "cd0b74479040763b7bde0e0f5da5ca940fd8649f6d9cf8e08f7d661ca9b6f522",
                "md5": "86b66f3ddecd598dc8102aa00916e620",
                "sha256": "ec577296fb34478c2e1105491d09c75541430e4ed3712576e98a34950f0c0aaf"
            },
            "downloads": -1,
            "filename": "arcx-0.2.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "86b66f3ddecd598dc8102aa00916e620",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.10",
            "size": 18208,
            "upload_time": "2024-08-14T14:06:06",
            "upload_time_iso_8601": "2024-08-14T14:06:06.795017Z",
            "url": "https://files.pythonhosted.org/packages/cd/0b/74479040763b7bde0e0f5da5ca940fd8649f6d9cf8e08f7d661ca9b6f522/arcx-0.2.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ca11bb97e18ee8dc2b06fede6a51fffa13d36da2df76022bbcf3a7b6fe372a60",
                "md5": "f540005f9cc624a61ba2d89471a20ba5",
                "sha256": "7ffa32cf5f7ec50b61785ab0197ebc57151c335a49377c7469ed861e1e457b41"
            },
            "downloads": -1,
            "filename": "arcx-0.2.1.tar.gz",
            "has_sig": false,
            "md5_digest": "f540005f9cc624a61ba2d89471a20ba5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.10",
            "size": 15157,
            "upload_time": "2024-08-14T14:06:08",
            "upload_time_iso_8601": "2024-08-14T14:06:08.351803Z",
            "url": "https://files.pythonhosted.org/packages/ca/11/bb97e18ee8dc2b06fede6a51fffa13d36da2df76022bbcf3a7b6fe372a60/arcx-0.2.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-08-14 14:06:08",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "arcx"
}
        
Elapsed time: 0.28791s