slackbot-helper


Nameslackbot-helper JSON
Version 0.1.42 PyPI version JSON
download
home_pagehttps://github.com/craigtrim/slackbot-helper
SummaryHelper Functions for Slackbots
upload_time2023-03-29 18:12:23
maintainerCraig Trim
docs_urlNone
authorCraig Trim
requires_python>=3.8.5,<4.0.0
licenseMIT
keywords chatbot bot slack helper utility
VCS
bugtrack_url
requirements aiohttp aiosignal async-timeout attrs autopep8 baseblock blis catalogue certifi cffi cfgv charset-normalizer click colorama confection cryptography cymem distlib entrypoints exceptiongroup fast-sentence-tokenize filelock flake8 flakeheaven frozenlist identify idna iniconfig Jinja2 joblib langcodes MarkupSafe mccabe multidict murmurhash nltk nodeenv numpy packaging pathy plac platformdirs pluggy pre-commit preshed pycodestyle pycparser pydantic pyflakes Pygments pytest PyYAML regex requests slack-bolt slack-sdk slackbot-helper slackclient smart-open spacy spacy-legacy spacy-loggers srsly thinc toml tomli tqdm typer typing_extensions unicodedata2 urllib3 virtualenv wasabi yarl
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Slackbot Helper (slackbot-helper)

Contains Utility Functions to help deal with Slack Events and I/O

Slack Events structures are highly variable and deeply nested.

This algorithm performs consistent extraction of the core key:value pairs.

## Usage
Assume this incoming event:
```python
d_incoming = {
    "blocks": [
        {
            "block_id": "vz+U",
            "elements": [
                {
                    "elements": [
                        {
                            "type": "user",
                            "user_id": "U045HCSMG8K"
                        },
                        {
                            "text": " dead ahead!",
                            "type": "text"
                        }
                    ],
                    "type": "rich_text_section"
                }
            ],
            "type": "rich_text"
        }
    ],
    "channel": "C046DB9TLEL",
    "text": "<@U045HCSMG8K> dead ahead!",
    "ts": 1665195085.499959,
    "type": "app_mention",
    "user": "U04674UNRBJ"
}
```

Import the `normalize_event` function:
```python
from slackbot_helper import normalize_event

d_normalized = normalize_event(
    d_event=d_incoming,
    bot_ids=['U045HCSMG8K']
)
```

The `bot_ids` parameter is a list of all known **bot_ids** in your application.

The output of this function is:
```json
{
    "membership": "85e8d1eb_46c2_11ed_97a0_4c1d96716627",
    "analysis": {
        "commands": [],
        "meta_mode": "human2bot",
        "meta_type": "H2B_SINGLE",
        "text_1": "@U045HCSMG8K dead ahead!",
        "text_2": "dead ahead!",
        "user_all": ["U045HCSMG8K"],
        "user_source": "U04674UNRBJ",
        "user_target": "U045HCSMG8K"
    },
    "event": {
        "blocks": [
            {
                "block_id": "vz+U",
                "elements": [
                    {
                        "elements": [
                            {
                                "type": "user",
                                "user_id": "U045HCSMG8K"
                            },
                            {
                                "text": " dead ahead!",
                                "type": "text"
                            }
                        ],
                        "type": "rich_text_section"
                    }
                ],
                "type": "rich_text"
            }
        ],
        "channel": "C046DB9TLEL",
        "text": "<@U045HCSMG8K> dead ahead!",
        "ts": 1665195085.499959,
        "type": "app_mention",
        "user": "U04674UNRBJ"
    },
}
```

The `analysis` structure within the output contains the following fields of interest:
1. `commands`: Any Commands extracted from the text
2. `meta_mode`: The Mode of communication (`human2bot`, `human2human`, `bot2human`, `bot2bot`)
3. `meta_type`: The Type of communication (`H2B_SINGLE` means Human is addressing a Single bot)
4. `text_1`: The original text
5. `text_2`: The normalized text
6. `user_all`: All the user IDs addressed in the text
7. `source_user`: The Source User (responsible for sending the event)
8. `target_user`: The Target User (primary user responsible for receiving the event)

            

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    "description": "# Slackbot Helper (slackbot-helper)\n\nContains Utility Functions to help deal with Slack Events and I/O\n\nSlack Events structures are highly variable and deeply nested.\n\nThis algorithm performs consistent extraction of the core key:value pairs.\n\n## Usage\nAssume this incoming event:\n```python\nd_incoming = {\n    \"blocks\": [\n        {\n            \"block_id\": \"vz+U\",\n            \"elements\": [\n                {\n                    \"elements\": [\n                        {\n                            \"type\": \"user\",\n                            \"user_id\": \"U045HCSMG8K\"\n                        },\n                        {\n                            \"text\": \" dead ahead!\",\n                            \"type\": \"text\"\n                        }\n                    ],\n                    \"type\": \"rich_text_section\"\n                }\n            ],\n            \"type\": \"rich_text\"\n        }\n    ],\n    \"channel\": \"C046DB9TLEL\",\n    \"text\": \"<@U045HCSMG8K> dead ahead!\",\n    \"ts\": 1665195085.499959,\n    \"type\": \"app_mention\",\n    \"user\": \"U04674UNRBJ\"\n}\n```\n\nImport the `normalize_event` function:\n```python\nfrom slackbot_helper import normalize_event\n\nd_normalized = normalize_event(\n    d_event=d_incoming,\n    bot_ids=['U045HCSMG8K']\n)\n```\n\nThe `bot_ids` parameter is a list of all known **bot_ids** in your application.\n\nThe output of this function is:\n```json\n{\n    \"membership\": \"85e8d1eb_46c2_11ed_97a0_4c1d96716627\",\n    \"analysis\": {\n        \"commands\": [],\n        \"meta_mode\": \"human2bot\",\n        \"meta_type\": \"H2B_SINGLE\",\n        \"text_1\": \"@U045HCSMG8K dead ahead!\",\n        \"text_2\": \"dead ahead!\",\n        \"user_all\": [\"U045HCSMG8K\"],\n        \"user_source\": \"U04674UNRBJ\",\n        \"user_target\": \"U045HCSMG8K\"\n    },\n    \"event\": {\n        \"blocks\": [\n            {\n                \"block_id\": \"vz+U\",\n                \"elements\": [\n                    {\n                        \"elements\": [\n                            {\n                                \"type\": \"user\",\n                                \"user_id\": \"U045HCSMG8K\"\n                            },\n                            {\n                                \"text\": \" dead ahead!\",\n                                \"type\": \"text\"\n                            }\n                        ],\n                        \"type\": \"rich_text_section\"\n                    }\n                ],\n                \"type\": \"rich_text\"\n            }\n        ],\n        \"channel\": \"C046DB9TLEL\",\n        \"text\": \"<@U045HCSMG8K> dead ahead!\",\n        \"ts\": 1665195085.499959,\n        \"type\": \"app_mention\",\n        \"user\": \"U04674UNRBJ\"\n    },\n}\n```\n\nThe `analysis` structure within the output contains the following fields of interest:\n1. `commands`: Any Commands extracted from the text\n2. `meta_mode`: The Mode of communication (`human2bot`, `human2human`, `bot2human`, `bot2bot`)\n3. `meta_type`: The Type of communication (`H2B_SINGLE` means Human is addressing a Single bot)\n4. `text_1`: The original text\n5. `text_2`: The normalized text\n6. `user_all`: All the user IDs addressed in the text\n7. `source_user`: The Source User (responsible for sending the event)\n8. `target_user`: The Target User (primary user responsible for receiving the event)\n",
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