gpostmaster-domains-datas


Namegpostmaster-domains-datas JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/Mindbaz/python-gpostmaster-domains-datas
SummaryDownloads and flattends datas from Google Postmaster Tools (GPT)
upload_time2023-09-13 12:34:03
maintainer
docs_urlNone
authorValentin Henon
requires_python>=3.6
licenseGPLv3
keywords google postmaster tools
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Google Postmaster Datas

Unofficial tool to download and flatten data from GPT. The recovered data will
offer a simple schema in order to be able to easily save this data in a flat
file or in database.

## Schema

* user_report_spam_percent : `float|None`
* ips_reputations : `list`
* domain_reputation : `level|None`
* feedback_loop : `{ nb_campaigns: 0, percent_per_campaign: list }`
* auth_use_dkim_percent : `float|None`
* auth_use_spf_percent : `float|None`
* auth_use_dmarc_percent : `float|None`
* tls_inbound_percent : `float|None`
* delivery_errors : `list`
* domain : `str`
* date : `str`

### Level

Translates string level from GTP to int

| EN     | FR              | int |
|:------:|:---------------:|:---:|
| high   | bonne           | 4   |
| medium | moyenne         | 3   |
| low    | plutôt mauvaise | 2   |
| bad    | mauvaise        | 1   |
| unknow | unknow          | 0   |

### ips_reputations
  
    [ { 'level': level, 'value': float, 'ips': str } ]

### feedback_loop

    percent_per_campaign : [ { 'uid': int, 'spam_percent': float } ]

# How to use it

```sh
python entry_points_googlepostmasterapi/gpt_dl_all_datas.py -h
> usage: gpt_dl_all_datas [-h] [--token [TOKEN]] [--pool-size [POOL_SIZE]] [--date [DATE]] [--verbose] [--version]
```

```sh
python entry_points_googlepostmasterapi/gpt_dl_domain_datas.py -h
> usage: gpt_dl_domain_datas [-h] [--token [TOKEN]] [--domain [DOMAIN]] [--date [DATE]] [--verbose] [--version]
```

# Support version

Python : `>=3.6`

            

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    "description": "# Google Postmaster Datas\n\nUnofficial tool to download and flatten data from GPT. The recovered data will\noffer a simple schema in order to be able to easily save this data in a flat\nfile or in database.\n\n## Schema\n\n* user_report_spam_percent : `float|None`\n* ips_reputations : `list`\n* domain_reputation : `level|None`\n* feedback_loop : `{ nb_campaigns: 0, percent_per_campaign: list }`\n* auth_use_dkim_percent : `float|None`\n* auth_use_spf_percent : `float|None`\n* auth_use_dmarc_percent : `float|None`\n* tls_inbound_percent : `float|None`\n* delivery_errors : `list`\n* domain : `str`\n* date : `str`\n\n### Level\n\nTranslates string level from GTP to int\n\n| EN     | FR              | int |\n|:------:|:---------------:|:---:|\n| high   | bonne           | 4   |\n| medium | moyenne         | 3   |\n| low    | plut\u00f4t mauvaise | 2   |\n| bad    | mauvaise        | 1   |\n| unknow | unknow          | 0   |\n\n### ips_reputations\n  \n    [ { 'level': level, 'value': float, 'ips': str } ]\n\n### feedback_loop\n\n    percent_per_campaign : [ { 'uid': int, 'spam_percent': float } ]\n\n# How to use it\n\n```sh\npython entry_points_googlepostmasterapi/gpt_dl_all_datas.py -h\n> usage: gpt_dl_all_datas [-h] [--token [TOKEN]] [--pool-size [POOL_SIZE]] [--date [DATE]] [--verbose] [--version]\n```\n\n```sh\npython entry_points_googlepostmasterapi/gpt_dl_domain_datas.py -h\n> usage: gpt_dl_domain_datas [-h] [--token [TOKEN]] [--domain [DOMAIN]] [--date [DATE]] [--verbose] [--version]\n```\n\n# Support version\n\nPython : `>=3.6`\n",
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