spacetrack-files


Namespacetrack-files JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/Flexlug/spacetrack_files
SummarySimple module for ephemeris download and parse
upload_time2023-11-02 21:32:21
maintainer
docs_urlNone
authorFlexlug
requires_python>=3.7
license
keywords spacetrack ephemeris starlink
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # spacetrack_files

This module allows you to download and parse Starlink ephemeris files.

## Setup

Simply add this module via `pip`

```
pip install spacetrack_files
```

## Using

You can:

- Download any available public files from SpaceTrack
- Parse Starlink ephemeris

### Downloading public files

### Downloading public files from SpaceTrack

Script below retrieves all public files and downloads them.

```py
import os
from spacetrack_files.api import SpaceTrackApi

api = SpaceTrackApi('your_username', 'your_password')
dirs = api.getDirsList()

base_download_path = '.'

for download_path in dirs:
    if not os.path.exists(download_path):
        os.mkdir(download_path)

    fs = api.getDirsWithFiles()
    downloading_files = fs[download_path]

    for file in downloading_files:
        file_download_path = os.path.join(base_download_path, download_path, file)
        if os.path.exists(file_download_path):
            continue
        api.downloadFile(file, file_download_path)
```

### Parsing Starlink ephemeris

It's as simple as this:

```py
from spacetrack_files.files import EphemerisFile

# DO NOT RENAME FILE
eph = EphemerisFile('MEME_54190_STARLINK-5281_2210828_Operational_1375864140_UNCLASSIFIED.txt') 
```

Keep in mind: module's using filename to parse satellite name, NORAD ID, classification and operational status. **Thus do not rename file**.

Ephemeris structure:

```py
@dataclass
class Ephemeris:
    epoch_j2000: str
    epoch: datetime
    position: np.array
    speed: np.array
    corr_values: np.array
```

Variables `position` and `speed` are 3-dim vectors. `corr_values` is matrix 3x7.

You can also get ephemeris in DataFrame format:

```py
df = eph.to_dataframe()
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Flexlug/spacetrack_files",
    "name": "spacetrack-files",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "spacetrack ephemeris starlink",
    "author": "Flexlug",
    "author_email": "flexlug@outlook.com",
    "download_url": "https://files.pythonhosted.org/packages/1f/6f/119eed81a07268cc710c51e64600b47612281f2c0841b0b5c783926f7965/spacetrack_files-0.0.3.tar.gz",
    "platform": null,
    "description": "# spacetrack_files\n\nThis module allows you to download and parse Starlink ephemeris files.\n\n## Setup\n\nSimply add this module via `pip`\n\n```\npip install spacetrack_files\n```\n\n## Using\n\nYou can:\n\n- Download any available public files from SpaceTrack\n- Parse Starlink ephemeris\n\n### Downloading public files\n\n### Downloading public files from SpaceTrack\n\nScript below retrieves all public files and downloads them.\n\n```py\nimport os\nfrom spacetrack_files.api import SpaceTrackApi\n\napi = SpaceTrackApi('your_username', 'your_password')\ndirs = api.getDirsList()\n\nbase_download_path = '.'\n\nfor download_path in dirs:\n    if not os.path.exists(download_path):\n        os.mkdir(download_path)\n\n    fs = api.getDirsWithFiles()\n    downloading_files = fs[download_path]\n\n    for file in downloading_files:\n        file_download_path = os.path.join(base_download_path, download_path, file)\n        if os.path.exists(file_download_path):\n            continue\n        api.downloadFile(file, file_download_path)\n```\n\n### Parsing Starlink ephemeris\n\nIt's as simple as this:\n\n```py\nfrom spacetrack_files.files import EphemerisFile\n\n# DO NOT RENAME FILE\neph = EphemerisFile('MEME_54190_STARLINK-5281_2210828_Operational_1375864140_UNCLASSIFIED.txt') \n```\n\nKeep in mind: module's using filename to parse satellite name, NORAD ID, classification and operational status. **Thus do not rename file**.\n\nEphemeris structure:\n\n```py\n@dataclass\nclass Ephemeris:\n    epoch_j2000: str\n    epoch: datetime\n    position: np.array\n    speed: np.array\n    corr_values: np.array\n```\n\nVariables `position` and `speed` are 3-dim vectors. `corr_values` is matrix 3x7.\n\nYou can also get ephemeris in DataFrame format:\n\n```py\ndf = eph.to_dataframe()\n```\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "Simple module for ephemeris download and parse",
    "version": "0.0.3",
    "project_urls": {
        "GitHub": "https://github.com/Flexlug",
        "Homepage": "https://github.com/Flexlug/spacetrack_files"
    },
    "split_keywords": [
        "spacetrack",
        "ephemeris",
        "starlink"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "352f4b298cf1c791ae9ac960dbfb78cf5738faddbd3a6d603f917a111c262b20",
                "md5": "ec75180f69d8836dacd539d5b9883333",
                "sha256": "83cdc3da79d7392bcfad8eecbce616bd6ed3f473a8a6c637081ddb3e25ad16cb"
            },
            "downloads": -1,
            "filename": "spacetrack_files-0.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ec75180f69d8836dacd539d5b9883333",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 5601,
            "upload_time": "2023-11-02T21:32:17",
            "upload_time_iso_8601": "2023-11-02T21:32:17.914501Z",
            "url": "https://files.pythonhosted.org/packages/35/2f/4b298cf1c791ae9ac960dbfb78cf5738faddbd3a6d603f917a111c262b20/spacetrack_files-0.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1f6f119eed81a07268cc710c51e64600b47612281f2c0841b0b5c783926f7965",
                "md5": "26370fa6b5e5a487331fdcb1e1d9e1c2",
                "sha256": "6881bcf785610a0e64ea9e633f36778294897b9bdb75704e15bbc03d134ad807"
            },
            "downloads": -1,
            "filename": "spacetrack_files-0.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "26370fa6b5e5a487331fdcb1e1d9e1c2",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 4839,
            "upload_time": "2023-11-02T21:32:21",
            "upload_time_iso_8601": "2023-11-02T21:32:21.182101Z",
            "url": "https://files.pythonhosted.org/packages/1f/6f/119eed81a07268cc710c51e64600b47612281f2c0841b0b5c783926f7965/spacetrack_files-0.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-11-02 21:32:21",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "Flexlug",
    "github_project": "spacetrack_files",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "spacetrack-files"
}
        
Elapsed time: 0.14517s