| Name | rumoderatorai JSON |
| Version |
1.6.2
JSON |
| download |
| home_page | https://moderator.omni-devel.ru |
| Summary | Библиотека для использования Omni Antispam API (https://moderator.omni-devel.ru) |
| upload_time | 2025-07-24 00:53:50 |
| maintainer | None |
| docs_url | None |
| author | PyWebSol |
| requires_python | >=3.8 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# RuModeratorAI
Библиотека для использования Omni Antispam API (https://moderator.omni-devel.ru), в прошлом - RuModeratorAI API.
## Установка
```bash
pip install rumoderatorai
```
## Пример использования
```python
from rumoderatorai import Client, Context, ChatContext
import asyncio
from PIL import Image
import os
async def main():
async with Client(
api_key=os.getenv("RUMODERATORAI_API_KEY")
) as client:
context = Context(
chat_context=ChatContext(
title="Test group",
topic_title="Test topic"
),
allowed_rules=[
"mutual subscriptions",
"job offers",
"cars selling"
]
)
text_response = await client.get_text_class("Hello, world!", context=context)
print(text_response)
profile_response = await client.get_profile_class(
username="test",
first_name="test",
last_name="test",
description="test",
is_premium=False,
)
print(profile_response)
image = Image.open("tests/image.png")
image_response = await client.get_image_class(image)
print(image_response)
ocr_response = await client.get_ocr(image)
print(ocr_response)
multimodal_text_response = await client.get_multimodal_text_class(
text="Всем привет!",
images=[
"tests/image_spam.png", "tests/image_not_spam.png", "tests/image_spam_2.png"
],
context=context
)
print(multimodal_text_response)
stats_response = await client.get_stats()
print(stats_response)
key_info_response = await client.get_key_info()
print(key_info_response)
prediction_response = await client.get_prediction(unique_id=text_response.unique_id)
print(prediction_response)
ips_response = await client.get_ips()
print(ips_response)
prices_response = await client.get_prices()
print(prices_response)
asyncio.run(main())
```
Или можно использовать без async with:
```python
from rumoderatorai import Client, Context, ChatContext
import asyncio
from PIL import Image
import os
async def main():
client = Client(
api_key=os.getenv("RUMODERATORAI_API_KEY"),
)
await client.init()
context = Context(
chat_context=ChatContext(
title="Test group",
topic_title="Test topic"
),
allowed_rules=[
"job offers",
"cars selling"
]
)
text_response = await client.get_text_class("Hello, world!", context=context)
print(text_response)
profile_response = await client.get_profile_class(
username="test",
first_name="test",
last_name="test",
description="test",
is_premium=False,
)
print(profile_response)
image = Image.open("tests/image.png")
image_response = await client.get_image_class(image)
print(image_response)
ocr_response = await client.get_ocr(image)
print(ocr_response)
multimodal_text_response = await client.get_multimodal_text_class(
text="Всем привет!",
images=[
"tests/image_spam.png", "tests/image_not_spam.png", "tests/image_spam_2.png"
],
context=context
)
print(multimodal_text_response)
stats_response = await client.get_stats()
print(stats_response)
key_info_response = await client.get_key_info()
print(key_info_response)
prediction_response = await client.get_prediction(unique_id=text_response.unique_id)
print(prediction_response)
ips_response = await client.get_ips()
print(ips_response)
prices_response = await client.get_prices()
print(prices_response)
await client.close()
asyncio.run(main())
```
**Примечание:** Не забудьте установить переменную окружения `RUMODERATORAI_API_KEY` перед запуском кода.
Raw data
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"description": "# RuModeratorAI\n\n\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f Omni Antispam API (https://moderator.omni-devel.ru), \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c - RuModeratorAI API.\n\n## \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430\n\n```bash\npip install rumoderatorai\n```\n\n## \u041f\u0440\u0438\u043c\u0435\u0440 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f\n```python\nfrom rumoderatorai import Client, Context, ChatContext\n\nimport asyncio\n\nfrom PIL import Image\n\nimport os\n\n\nasync def main():\n async with Client(\n api_key=os.getenv(\"RUMODERATORAI_API_KEY\")\n ) as client:\n context = Context(\n chat_context=ChatContext(\n title=\"Test group\",\n topic_title=\"Test topic\"\n ),\n allowed_rules=[\n \"mutual subscriptions\",\n \"job offers\",\n \"cars selling\"\n ]\n )\n\n text_response = await client.get_text_class(\"Hello, world!\", context=context)\n print(text_response)\n\n profile_response = await client.get_profile_class(\n username=\"test\",\n first_name=\"test\",\n last_name=\"test\",\n description=\"test\",\n is_premium=False,\n )\n print(profile_response)\n\n image = Image.open(\"tests/image.png\")\n image_response = await client.get_image_class(image)\n print(image_response)\n\n ocr_response = await client.get_ocr(image)\n print(ocr_response)\n\n multimodal_text_response = await client.get_multimodal_text_class(\n text=\"\u0412\u0441\u0435\u043c \u043f\u0440\u0438\u0432\u0435\u0442!\",\n images=[\n \"tests/image_spam.png\", \"tests/image_not_spam.png\", \"tests/image_spam_2.png\"\n ],\n context=context\n )\n print(multimodal_text_response)\n\n stats_response = await client.get_stats()\n print(stats_response)\n\n key_info_response = await client.get_key_info()\n print(key_info_response)\n\n prediction_response = await client.get_prediction(unique_id=text_response.unique_id)\n print(prediction_response)\n\n ips_response = await client.get_ips()\n print(ips_response)\n\n prices_response = await client.get_prices()\n print(prices_response)\n\n\nasyncio.run(main())\n```\n\n\u0418\u043b\u0438 \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0431\u0435\u0437 async with:\n```python\nfrom rumoderatorai import Client, Context, ChatContext\n\nimport asyncio\n\nfrom PIL import Image\n\nimport os\n\n\nasync def main():\n client = Client(\n api_key=os.getenv(\"RUMODERATORAI_API_KEY\"),\n )\n await client.init()\n\n context = Context(\n chat_context=ChatContext(\n title=\"Test group\",\n topic_title=\"Test topic\"\n ),\n allowed_rules=[\n \"job offers\",\n \"cars selling\"\n ]\n )\n\n text_response = await client.get_text_class(\"Hello, world!\", context=context)\n print(text_response)\n\n profile_response = await client.get_profile_class(\n username=\"test\",\n first_name=\"test\",\n last_name=\"test\",\n description=\"test\",\n is_premium=False,\n )\n print(profile_response)\n\n image = Image.open(\"tests/image.png\")\n image_response = await client.get_image_class(image)\n print(image_response)\n\n ocr_response = await client.get_ocr(image)\n print(ocr_response)\n\n multimodal_text_response = await client.get_multimodal_text_class(\n text=\"\u0412\u0441\u0435\u043c \u043f\u0440\u0438\u0432\u0435\u0442!\",\n images=[\n \"tests/image_spam.png\", \"tests/image_not_spam.png\", \"tests/image_spam_2.png\"\n ],\n context=context\n )\n print(multimodal_text_response)\n\n stats_response = await client.get_stats()\n print(stats_response)\n\n key_info_response = await client.get_key_info()\n print(key_info_response)\n\n prediction_response = await client.get_prediction(unique_id=text_response.unique_id)\n print(prediction_response)\n\n ips_response = await client.get_ips()\n print(ips_response)\n\n prices_response = await client.get_prices()\n print(prices_response)\n\n await client.close()\n\n\nasyncio.run(main())\n```\n\n**\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435:** \u041d\u0435 \u0437\u0430\u0431\u0443\u0434\u044c\u0442\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u044f `RUMODERATORAI_API_KEY` \u043f\u0435\u0440\u0435\u0434 \u0437\u0430\u043f\u0443\u0441\u043a\u043e\u043c \u043a\u043e\u0434\u0430.\n",
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