asset-tracking-pepsico


Nameasset-tracking-pepsico JSON
Version 1.0.3 PyPI version JSON
download
home_page
SummaryAn asset tracking package where the device logs can be read and the location information can be extracted from the log file provided in the parameters.
upload_time2023-07-24 08:34:40
maintainer
docs_urlNone
author
requires_python>=3.7
license
keywords asset tracking pepsico location latitude longitude store events
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # audit_logging_pepsico

Under Construction.
A DTO for transforming the data coming from different sources into a single object or schema.
This will be used to write the data to postgres. 

Developed by Jatin Talati

## Examples of How To Use

```python
from asset_tracking_pepsico.asset_tracking_ingest import AssetTrackingIngest
from asset_tracking_pepsico import utilities

blob_conn_str = "<BLOB_CONNECTION_STRING>"
container_name = "<NAME_OF_THE_CONTAINER>"
blob_name = "<NAME_OF_THE_BLOB>"

ast = AssetTrackingIngest()
data = utilities.read_data_from_blob(blob_conn_str, container_name, blob_name)
# Other Code
```

For accessing the schema and parameters use the following code

```python
from asset_tracking_pepsico.dto.PostgresSchema import PostgresSchemaDto

schema = PostgresSchemaDto()
print(schema.__str__())
```

This will print out the values for all the parameters in the class.
For dict you can use
```python
print(schema.__dict__())
```
Explore the package to use other functions and parameters. 

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "asset-tracking-pepsico",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": "",
    "keywords": "asset,tracking,pepsico,location,latitude,longitude,store,events",
    "author": "",
    "author_email": "Jatin Talati <jatalati@in.ibm.com>",
    "download_url": "https://files.pythonhosted.org/packages/6e/87/d24135d3be6532bbad2c27f794c170583826bb528ec55aa37331fcda37b8/asset_tracking_pepsico-1.0.3.tar.gz",
    "platform": null,
    "description": "# audit_logging_pepsico\n\nUnder Construction.\nA DTO for transforming the data coming from different sources into a single object or schema.\nThis will be used to write the data to postgres. \n\nDeveloped by Jatin Talati\n\n## Examples of How To Use\n\n```python\nfrom asset_tracking_pepsico.asset_tracking_ingest import AssetTrackingIngest\nfrom asset_tracking_pepsico import utilities\n\nblob_conn_str = \"<BLOB_CONNECTION_STRING>\"\ncontainer_name = \"<NAME_OF_THE_CONTAINER>\"\nblob_name = \"<NAME_OF_THE_BLOB>\"\n\nast = AssetTrackingIngest()\ndata = utilities.read_data_from_blob(blob_conn_str, container_name, blob_name)\n# Other Code\n```\n\nFor accessing the schema and parameters use the following code\n\n```python\nfrom asset_tracking_pepsico.dto.PostgresSchema import PostgresSchemaDto\n\nschema = PostgresSchemaDto()\nprint(schema.__str__())\n```\n\nThis will print out the values for all the parameters in the class.\nFor dict you can use\n```python\nprint(schema.__dict__())\n```\nExplore the package to use other functions and parameters. \n",
    "bugtrack_url": null,
    "license": "",
    "summary": "An asset tracking package where the device logs can be read and the location information can be extracted from the log file provided in the parameters.",
    "version": "1.0.3",
    "project_urls": null,
    "split_keywords": [
        "asset",
        "tracking",
        "pepsico",
        "location",
        "latitude",
        "longitude",
        "store",
        "events"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c0d702718c468fb64f3c5d09de790410a4ffcbb139bbeb61b4712992cc6263f4",
                "md5": "510f87414c64bbd9c60b09aacce5daff",
                "sha256": "4b44e8ef250cb96bdf1b292c864d47ac59f9fa5dc678b0762d2cdbc7408512d3"
            },
            "downloads": -1,
            "filename": "asset_tracking_pepsico-1.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "510f87414c64bbd9c60b09aacce5daff",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 8432,
            "upload_time": "2023-07-24T08:34:38",
            "upload_time_iso_8601": "2023-07-24T08:34:38.768948Z",
            "url": "https://files.pythonhosted.org/packages/c0/d7/02718c468fb64f3c5d09de790410a4ffcbb139bbeb61b4712992cc6263f4/asset_tracking_pepsico-1.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6e87d24135d3be6532bbad2c27f794c170583826bb528ec55aa37331fcda37b8",
                "md5": "b933be87e4437b2bcfb326e22710fb10",
                "sha256": "80d95aedf5394c4097565fb1fa1a1ce87b0cd6c0abbcfd53b51571e5afc6bd70"
            },
            "downloads": -1,
            "filename": "asset_tracking_pepsico-1.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "b933be87e4437b2bcfb326e22710fb10",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 7667,
            "upload_time": "2023-07-24T08:34:40",
            "upload_time_iso_8601": "2023-07-24T08:34:40.509056Z",
            "url": "https://files.pythonhosted.org/packages/6e/87/d24135d3be6532bbad2c27f794c170583826bb528ec55aa37331fcda37b8/asset_tracking_pepsico-1.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-24 08:34:40",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "asset-tracking-pepsico"
}
        
Elapsed time: 0.12735s