add gemni and functions
This commit is contained in:
parent
c43baf0401
commit
ad71ca253d
552
poetry.lock
generated
552
poetry.lock
generated
@ -47,6 +47,18 @@ files = [
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]
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[[package]]
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name = "cachetools"
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version = "5.5.1"
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description = "Extensible memoizing collections and decorators"
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optional = false
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python-versions = ">=3.7"
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groups = ["main"]
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name = "certifi"
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version = "2024.12.14"
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@ -59,6 +71,121 @@ files = [
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[[package]]
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name = "charset-normalizer"
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version = "3.4.1"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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||||
[[package]]
|
||||
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|
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|
||||
description = "Cross-platform colored terminal text."
|
||||
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|
||||
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|
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[[package]]
|
||||
name = "distro"
|
||||
version = "1.9.0"
|
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@ -71,6 +198,159 @@ files = [
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{file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
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[[package]]
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||||
name = "google-ai-generativelanguage"
|
||||
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|
||||
description = "Google Ai Generativelanguage API client library"
|
||||
optional = false
|
||||
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||||
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||||
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|
||||
[[package]]
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||||
name = "google-api-core"
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[package.dependencies]
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||||
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||||
[package.extras]
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||||
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||||
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||||
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||||
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|
||||
[[package]]
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||||
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|
||||
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|
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||||
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||||
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||||
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|
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[[package]]
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|
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|
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|
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|
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[package.extras]
|
||||
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||||
|
||||
[[package]]
|
||||
name = "grpcio-status"
|
||||
version = "1.70.0"
|
||||
description = "Status proto mapping for gRPC"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
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groups = ["main"]
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|
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
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|
||||
@ -213,6 +578,21 @@ http2 = ["h2 (>=3,<5)"]
|
||||
socks = ["socksio (==1.*)"]
|
||||
trio = ["trio (>=0.22.0,<1.0)"]
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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[package.dependencies]
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|
||||
|
||||
[[package]]
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||||
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|
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|
||||
@ -269,6 +649,45 @@ files = [
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||||
pyaes = "1.6.1"
|
||||
pysocks = "1.7.1"
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|
||||
[[package]]
|
||||
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|
||||
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||||
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||||
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|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -280,6 +699,33 @@ files = [
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -435,6 +881,21 @@ azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0
|
||||
toml = ["tomli (>=2.0.1)"]
|
||||
yaml = ["pyyaml (>=6.0.1)"]
|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
python-versions = ">=3.9"
|
||||
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|
||||
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||||
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|
||||
|
||||
[package.extras]
|
||||
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|
||||
|
||||
[[package]]
|
||||
name = "pyrogram"
|
||||
version = "2.0.106"
|
||||
@ -498,6 +959,43 @@ async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\
|
||||
hiredis = ["hiredis (>=3.0.0)"]
|
||||
ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==23.2.1)", "requests (>=2.31.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
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|
||||
description = "Python HTTP for Humans."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
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|
||||
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|
||||
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||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
[package.extras]
|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
@ -672,6 +1170,28 @@ files = [
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||||
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|
||||
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|
||||
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|
||||
[package.dependencies]
|
||||
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|
||||
|
||||
[package.extras]
|
||||
dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
|
||||
discord = ["requests"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.12.2"
|
||||
@ -684,7 +1204,37 @@ files = [
|
||||
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "uritemplate"
|
||||
version = "4.1.1"
|
||||
description = "Implementation of RFC 6570 URI Templates"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "uritemplate-4.1.1-py2.py3-none-any.whl", hash = "sha256:830c08b8d99bdd312ea4ead05994a38e8936266f84b9a7878232db50b044e02e"},
|
||||
{file = "uritemplate-4.1.1.tar.gz", hash = "sha256:4346edfc5c3b79f694bccd6d6099a322bbeb628dbf2cd86eea55a456ce5124f0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "urllib3"
|
||||
version = "2.3.0"
|
||||
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
groups = ["main"]
|
||||
files = [
|
||||
{file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
|
||||
{file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
||||
h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.11, <4.0"
|
||||
content-hash = "c9de7a98768d02152241f4e8000d6186de1c0059ba9dba65dca76ee5a6b60ee2"
|
||||
content-hash = "dc59c68a2f05dcce182f7343c2fe7979ad2b654211954f9480a263cd9e128232"
|
||||
|
||||
@ -15,7 +15,8 @@ dependencies = [
|
||||
"groq (>=0.15.0,<0.16.0)",
|
||||
"sqlalchemy (>=2.0.37,<3.0.0)",
|
||||
"pydantic-settings (>=2.7.1,<3.0.0)",
|
||||
"redis (>=5.2.1,<6.0.0)"
|
||||
"redis (>=5.2.1,<6.0.0)",
|
||||
"google-generativeai (>=0.8.4,<0.9.0)"
|
||||
]
|
||||
|
||||
|
||||
|
||||
Binary file not shown.
0
src/core/ai_services/__init__.py
Normal file
0
src/core/ai_services/__init__.py
Normal file
12
src/core/ai_services/base.py
Normal file
12
src/core/ai_services/base.py
Normal file
@ -0,0 +1,12 @@
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
from src.core.ai_services.schemas import MessageFromChatSchema, ResponseFromAiSchema
|
||||
|
||||
|
||||
class BaseAiService(ABC):
|
||||
@abstractmethod
|
||||
async def create_request_ai(
|
||||
self,
|
||||
messages: list[MessageFromChatSchema],
|
||||
) -> ResponseFromAiSchema:
|
||||
raise NotImplementedError
|
||||
0
src/core/ai_services/gemini/__init__.py
Normal file
0
src/core/ai_services/gemini/__init__.py
Normal file
56
src/core/ai_services/gemini/constants.py
Normal file
56
src/core/ai_services/gemini/constants.py
Normal file
@ -0,0 +1,56 @@
|
||||
ROLE = """
|
||||
Ты специалист по поиску клиентов в компании, которая занимается разработкой любого софта
|
||||
на заказ.
|
||||
"""
|
||||
|
||||
ANALYTIC_PROMT = """
|
||||
Ты получаешь json с такими полями
|
||||
{
|
||||
"messages": [
|
||||
{
|
||||
"message_id": integer,
|
||||
"user_id": integer,
|
||||
"chat_id": integer,
|
||||
"text": string,
|
||||
"date": datetime
|
||||
}
|
||||
]
|
||||
}
|
||||
messages - это срез диалога в чате телеграмма.
|
||||
пользователи могут общаться на абсолютно разные темы.
|
||||
Твоя задача:
|
||||
Прочитать эти сообщения, понять тему текущего среза диалога.
|
||||
И если ты поймешь, что мы можем какому то пользователю предложить свои услуги
|
||||
например (написать интернет магазин, мобильное приложение или любой другой айти продукт)
|
||||
то выведи в таком виде ответ.
|
||||
|
||||
ВАЖНО: Если ты уверен на 100 процентов, что они заинтересованы в подобных услугах и им
|
||||
можно предложить, то верни.
|
||||
|
||||
{
|
||||
"user_id": integer,
|
||||
"chat_id": integer,
|
||||
"reason": string
|
||||
}
|
||||
|
||||
поле reason: Кратко(до 100 симоволов) почему ты решил, что это потенциальный клиент.
|
||||
|
||||
Если ты хотя бы чуть чуть не уверен, то верни вот такую строку
|
||||
{"user_id": null, "chat_id": null, "reason": null}
|
||||
|
||||
|
||||
ВАЖНО: Ты должен вернуть ТОЛЬКО JSON и не словом больше. Иначе я разорюсь.
|
||||
без ```json ``` просто так без каких либо спецсимволов
|
||||
|
||||
"""
|
||||
|
||||
|
||||
GEMINI_BASE_MESSAGE = [
|
||||
{
|
||||
"role": "user",
|
||||
"parts": [
|
||||
{"text": ROLE},
|
||||
{"text": ANALYTIC_PROMT},
|
||||
]
|
||||
}
|
||||
]
|
||||
76
src/core/ai_services/gemini/service.py
Normal file
76
src/core/ai_services/gemini/service.py
Normal file
@ -0,0 +1,76 @@
|
||||
import json
|
||||
|
||||
from src.core.ai_services.base import BaseAiService
|
||||
|
||||
import google.generativeai as genai
|
||||
|
||||
from src.core.ai_services.gemini.constants import GEMINI_BASE_MESSAGE
|
||||
from src.core.ai_services.schemas import MessageFromChatSchema, ResponseFromAiSchema
|
||||
from src.core.settings.base import settings
|
||||
|
||||
|
||||
class GoogleHelper(BaseAiService):
|
||||
def __init__(
|
||||
self,
|
||||
api_key: str,
|
||||
model_name: str,
|
||||
) -> None:
|
||||
self.api_key = api_key
|
||||
self.model = model_name
|
||||
|
||||
genai.configure(api_key=api_key)
|
||||
self._model = genai.GenerativeModel(model_name=model_name)
|
||||
|
||||
@staticmethod
|
||||
def _serialize_messages_to_promt(
|
||||
messages: list[MessageFromChatSchema],
|
||||
) -> list[dict]:
|
||||
messages_for_request = GEMINI_BASE_MESSAGE.copy()
|
||||
dumped_messages = [msg.model_dump_with_datetime() for msg in messages]
|
||||
|
||||
text_for_request = json.dumps({"messages": dumped_messages})
|
||||
|
||||
extend_message = {
|
||||
"role": "user",
|
||||
"parts": [
|
||||
{
|
||||
"text": text_for_request,
|
||||
}
|
||||
],
|
||||
}
|
||||
|
||||
messages_for_request.append(extend_message)
|
||||
|
||||
return messages_for_request
|
||||
|
||||
@staticmethod
|
||||
def _serialize_response_to_json(
|
||||
response_text: str,
|
||||
) -> ResponseFromAiSchema:
|
||||
response = response_text.replace('\n', '')
|
||||
print(response)
|
||||
print(len(response))
|
||||
print("gemini")
|
||||
response = response_text.replace('\n', '')
|
||||
response_as_dict = json.loads(response_text)
|
||||
|
||||
return ResponseFromAiSchema(**response_as_dict)
|
||||
|
||||
async def create_request_ai(
|
||||
self,
|
||||
messages: list[MessageFromChatSchema],
|
||||
) -> ResponseFromAiSchema:
|
||||
contents = self._serialize_messages_to_promt(messages)
|
||||
|
||||
response = await self._model.generate_content_async(
|
||||
contents=contents
|
||||
)
|
||||
|
||||
return self._serialize_response_to_json(response.text)
|
||||
|
||||
|
||||
|
||||
gemini_helper = GoogleHelper(
|
||||
api_key=settings.GEMINI.API_KEY,
|
||||
model_name=settings.GEMINI.MODEL_NAME,
|
||||
)
|
||||
69
src/core/ai_services/google.py
Normal file
69
src/core/ai_services/google.py
Normal file
@ -0,0 +1,69 @@
|
||||
import asyncio
|
||||
import json
|
||||
|
||||
import google.generativeai as genai
|
||||
|
||||
from src.core.common.promt import ANALYTIC_PROMT, ROLE
|
||||
|
||||
model = genai.GenerativeModel("gemini-1.5-flash")
|
||||
# model.generate_content_async(
|
||||
# contents="Explain how AI works",
|
||||
# )
|
||||
# response = model.generate_content("Explain how AI works")
|
||||
data = {
|
||||
"messages": [
|
||||
{'message_id': 116459, 'user_id': 299500769, 'chat_id': -1001412374171,
|
||||
'text': 'Это конечно круто, но не надо в питон тащить свои когнитивные искажения из джава мира))',
|
||||
'date': '29/01/2025:22:54:08'},
|
||||
{'message_id': 116460, 'user_id': 299500769, 'chat_id': -1001412374171,
|
||||
'text': 'Не говорю, что там не правильно, просто не везде применимо)', 'date': '29/01/2025:22:54:29'},
|
||||
{'message_id': 116461, 'user_id': 6295079014, 'chat_id': -1001412374171, 'text': 'ну так слоистая зато)',
|
||||
'date': '29/01/2025:22:54:35'},
|
||||
{'message_id': 116462, 'user_id': 6295079014, 'chat_id': -1001412374171,
|
||||
'text': 'линтеры, IDE, типы - ради этого если кратко', 'date': '29/01/2025:22:55:26'},
|
||||
{'message_id': 116463, 'user_id': 299500769, 'chat_id': -1001412374171,
|
||||
'text': 'Не все 1 в 1 переносится от языка к языку)', 'date': '29/01/2025:22:55:33'},
|
||||
{'message_id': 116464, 'user_id': 408922819, 'chat_id': -1001412374171,
|
||||
'text': 'в каком месте у тебя здесь циклические импорты?', 'date': '29/01/2025:22:55:39'},
|
||||
{'message_id': 116465, 'user_id': 6295079014, 'chat_id': -1001412374171,
|
||||
'text': 'chat/models.py\nuser/models.py\n\n ссылаются друг на друга ибо в каждом есть импорты друг друга\n\nuser/models.py\nfrom src.chat.models import Chat, ChatMessage\n\nchat/models.py\nfrom src.user.models import User',
|
||||
'date': '29/01/2025:22:57:45'},
|
||||
{'message_id': 116466, 'user_id': 408922819, 'chat_id': -1001412374171,
|
||||
'text': 'ах ты их еще и по аппкам разнес', 'date': '29/01/2025:22:58:34'},
|
||||
{'message_id': 116467, 'user_id': 6295079014, 'chat_id': -1001412374171,
|
||||
'text': 'если есть грамотный пример структуры приложения fastapi прошу прислать)',
|
||||
'date': '29/01/2025:22:58:55'},
|
||||
]
|
||||
}
|
||||
|
||||
BASE_MESSAGE = [
|
||||
{
|
||||
"role": "user",
|
||||
"parts": [{"text": ROLE.strip()}]
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"parts": [{"text": ANALYTIC_PROMT.strip()}]
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"parts": [json.dumps(data)]
|
||||
},
|
||||
|
||||
]
|
||||
|
||||
async def print_response():
|
||||
res = await model.generate_content_async(BASE_MESSAGE)
|
||||
print(res.text)
|
||||
print(res.usage_metadata)
|
||||
|
||||
async def check_limits():
|
||||
response = await model.generate_content_async("Как посмотреть сколько лимитов в gemini gemini cloude у меня осталось")
|
||||
|
||||
# Вывод метаданных из ответа
|
||||
print(response.text)
|
||||
print("Usage metadata:", response.usage_metadata)
|
||||
|
||||
|
||||
asyncio.run(check_limits())
|
||||
# asyncio.run(print_response())
|
||||
0
src/core/ai_services/groq/__init__.py
Normal file
0
src/core/ai_services/groq/__init__.py
Normal file
57
src/core/ai_services/groq/constants.py
Normal file
57
src/core/ai_services/groq/constants.py
Normal file
@ -0,0 +1,57 @@
|
||||
ROLE = """
|
||||
Ты специалист по поиску клиентов в компании, которая занимается разработкой любого софта
|
||||
на заказ.
|
||||
"""
|
||||
|
||||
ANALYTIC_PROMT = """
|
||||
Ты получаешь json с такими полями
|
||||
{
|
||||
"messages": [
|
||||
{
|
||||
"message_id": integer,
|
||||
"user_id": integer,
|
||||
"chat_id": integer,
|
||||
"text": string,
|
||||
"date": datetime
|
||||
}
|
||||
]
|
||||
}
|
||||
messages - это срез диалога в чате телеграмма.
|
||||
пользователи могут общаться на абсолютно разные темы.
|
||||
Твоя задача:
|
||||
Прочитать эти сообщения, понять тему текущего среза диалога.
|
||||
И если ты поймешь, что мы можем какому то пользователю предложить свои услуги
|
||||
например (написать интернет магазин, мобильное приложение или любой другой айти продукт)
|
||||
то выведи в таком виде ответ.
|
||||
|
||||
ВАЖНО: Если ты уверен на 100 процентов, что они заинтересованы в подобных услугах и им
|
||||
можно предложить, то верни.
|
||||
|
||||
{
|
||||
"user_id": integer,
|
||||
"chat_id": integer,
|
||||
"reason": string
|
||||
}
|
||||
|
||||
поле reason: Кратко(до 100 симоволов) почему ты решил, что это потенциальный клиент.
|
||||
|
||||
Если ты хотя бы чуть чуть не уверен, то верни вот такую строку
|
||||
{"user_id": null, "chat_id": null, "reason": null}
|
||||
|
||||
ВАЖНО: Ты должен вернуть ТОЛЬКО JSON и не словом больше. Иначе я разорюсь.
|
||||
без ```json ``` просто так
|
||||
|
||||
|
||||
"""
|
||||
|
||||
|
||||
GROQ_BASE_MESSAGE = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": ROLE.replace("\n", '')
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": ANALYTIC_PROMT.replace("\n", ''),
|
||||
}
|
||||
]
|
||||
78
src/core/ai_services/groq/service.py
Normal file
78
src/core/ai_services/groq/service.py
Normal file
@ -0,0 +1,78 @@
|
||||
import json
|
||||
|
||||
from groq import AsyncGroq
|
||||
|
||||
from src.core.ai_services.schemas import MessageFromChatSchema, ResponseFromAiSchema
|
||||
from .constants import GROQ_BASE_MESSAGE
|
||||
from ..base import BaseAiService
|
||||
from ...settings.base import settings
|
||||
|
||||
|
||||
class GroqHelper(BaseAiService):
|
||||
def __init__(
|
||||
self,
|
||||
api_key: str,
|
||||
model: str,
|
||||
temperature: int,
|
||||
) -> None:
|
||||
self.api_key = api_key
|
||||
self.model = model
|
||||
self.temperature = temperature
|
||||
|
||||
self._client = AsyncGroq(
|
||||
api_key=self.api_key,
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def _serialize_messages_to_promt(
|
||||
messages: list[MessageFromChatSchema],
|
||||
) -> dict:
|
||||
messages_for_request = GROQ_BASE_MESSAGE.copy()
|
||||
extend_message = {
|
||||
"role": "user",
|
||||
"content": json.dumps(
|
||||
{
|
||||
"messages": [
|
||||
message.model_dump_with_datetime() for message in messages
|
||||
]
|
||||
}
|
||||
),
|
||||
}
|
||||
|
||||
messages_for_request.append(extend_message)
|
||||
|
||||
return messages_for_request
|
||||
|
||||
@staticmethod
|
||||
def _serialize_response_to_json(
|
||||
response_text: str,
|
||||
) -> ResponseFromAiSchema:
|
||||
print(response_text)
|
||||
print(len(response_text))
|
||||
print("groq")
|
||||
response = response_text.replace('\n', '')
|
||||
response_as_dict = json.loads(response)
|
||||
|
||||
return ResponseFromAiSchema(**response_as_dict)
|
||||
|
||||
async def create_request_ai(
|
||||
self,
|
||||
messages: list[MessageFromChatSchema],
|
||||
) -> ResponseFromAiSchema:
|
||||
messages_for_promt = self._serialize_messages_to_promt(messages)
|
||||
response = await self._client.chat.completions.create(
|
||||
messages=messages_for_promt,
|
||||
model=self.model,
|
||||
temperature=self.temperature,
|
||||
)
|
||||
|
||||
return self._serialize_response_to_json(
|
||||
response.choices[0].message.content,
|
||||
)
|
||||
|
||||
|
||||
groq_helper = GroqHelper(
|
||||
api_key=settings.GROQ.API_KEY,
|
||||
model=settings.GROQ.MODEL,
|
||||
temperature=settings.GROQ.TEMPERATURE,
|
||||
)
|
||||
23
src/core/ai_services/schemas.py
Normal file
23
src/core/ai_services/schemas.py
Normal file
@ -0,0 +1,23 @@
|
||||
from datetime import datetime
|
||||
|
||||
from pydantic import BaseModel, PositiveInt, NegativeInt
|
||||
|
||||
|
||||
class MessageFromChatSchema(BaseModel):
|
||||
message_id: PositiveInt
|
||||
user_id: PositiveInt
|
||||
chat_id: NegativeInt
|
||||
text: str
|
||||
date: datetime
|
||||
|
||||
def model_dump_with_datetime(self) -> dict:
|
||||
dumped_model = self.model_dump()
|
||||
dumped_model["date"] = dumped_model["date"].isoformat()
|
||||
|
||||
return dumped_model
|
||||
|
||||
|
||||
class ResponseFromAiSchema(BaseModel):
|
||||
user_id: PositiveInt | None
|
||||
chat_id: NegativeInt | None
|
||||
reason: str | None
|
||||
@ -42,7 +42,7 @@ messages - это срез диалога в чате телеграмма.
|
||||
"reason": None,
|
||||
}
|
||||
|
||||
ВАЖНО: Ты должен вернуть ТОЛЬКО JSON и не словом больше. Иначе я разорюсь.
|
||||
ВАЖНО: Ты должен вернуть ТОЛЬКО JSON и не словом больше. Иначе я разорюсь.
|
||||
|
||||
"""
|
||||
|
||||
|
||||
@ -3,6 +3,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
from src.core.common.constants import PydanticEnvPrefixEnum, EnvFileLocation, EnvironmentEnum
|
||||
|
||||
from src.core.settings.database import DatabaseSettings
|
||||
from src.core.settings.gemini import GeminiSettings
|
||||
from src.core.settings.groq import GroqSettings
|
||||
|
||||
|
||||
@ -22,7 +23,8 @@ class Settings(BaseSettings):
|
||||
MODE: EnvironmentEnum
|
||||
|
||||
POSTGRES: DatabaseSettings
|
||||
GROQ: GroqSettings
|
||||
|
||||
GROQ: GroqSettings
|
||||
GEMINI: GeminiSettings
|
||||
|
||||
settings = Settings() # type:ignore
|
||||
7
src/core/settings/gemini.py
Normal file
7
src/core/settings/gemini.py
Normal file
@ -0,0 +1,7 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
|
||||
class GeminiSettings(BaseModel):
|
||||
API_KEY: str
|
||||
MODEL_NAME: str = "gemini-1.5-flash"
|
||||
@ -1,4 +1,6 @@
|
||||
from pydantic import BaseModel
|
||||
|
||||
class GroqSettings(BaseModel):
|
||||
API_KEY: str
|
||||
API_KEY: str
|
||||
MODEL: str = 'llama-3.3-70b-versatile'
|
||||
TEMPERATURE: int = 2
|
||||
57
src/main.py
57
src/main.py
@ -1,10 +1,14 @@
|
||||
import json
|
||||
from time import sleep
|
||||
|
||||
from pyrogram import Client, filters
|
||||
from pyrogram.enums import ChatType
|
||||
from pyrogram.types import Message
|
||||
|
||||
from ai_test import create_request_ai
|
||||
from src.core.ai_services.gemini.service import gemini_helper
|
||||
from src.core.ai_services.groq.service import groq_helper
|
||||
from src.core.ai_services.schemas import MessageFromChatSchema
|
||||
from src.core.common.promt import BASE_MESSAGE
|
||||
|
||||
api_id = 17718565
|
||||
@ -16,7 +20,7 @@ app = Client(
|
||||
api_hash=api_hash,
|
||||
)
|
||||
|
||||
DATA = dict()
|
||||
DATA: dict[int, list[MessageFromChatSchema]] = dict()
|
||||
|
||||
|
||||
@app.on_message(filters.all) # Используем фильтр для сообщений из всех чатов
|
||||
@ -28,26 +32,26 @@ async def listen_messages(client: Client, message: Message):
|
||||
|
||||
|
||||
|
||||
if message.chat.type not in [ChatType.PRIVATE, ChatType.BOT] and message.from_user:
|
||||
if message.chat.type not in [ChatType.PRIVATE, ChatType.BOT] and message.from_user and message.text:
|
||||
if DATA.get(message.chat.id):
|
||||
DATA[message.chat.id].append(
|
||||
{
|
||||
"message_id": message.id,
|
||||
"user_id": message.from_user.id,
|
||||
"chat_id": message.chat.id,
|
||||
"text": message.text,
|
||||
"date": message.date.strftime("%d/%m/%Y:%H:%M:%S"),
|
||||
}
|
||||
MessageFromChatSchema(
|
||||
message_id=message.id,
|
||||
user_id=message.from_user.id,
|
||||
chat_id=message.chat.id,
|
||||
text=message.text,
|
||||
date=message.date
|
||||
)
|
||||
)
|
||||
else:
|
||||
DATA[message.chat.id] = [
|
||||
{
|
||||
"message_id": message.id,
|
||||
"user_id": message.from_user.id,
|
||||
"chat_id": message.chat.id,
|
||||
"text": message.text,
|
||||
"date": message.date.strftime("%d/%m/%Y:%H:%M:%S"),
|
||||
}
|
||||
MessageFromChatSchema(
|
||||
message_id=message.id,
|
||||
user_id=message.from_user.id,
|
||||
chat_id=message.chat.id,
|
||||
text=message.text,
|
||||
date=message.date
|
||||
)
|
||||
]
|
||||
print(len(DATA[message.chat.id]))
|
||||
|
||||
@ -57,16 +61,19 @@ async def listen_messages(client: Client, message: Message):
|
||||
|
||||
for key, value in DATA.items():
|
||||
if len(value) == 20 and counter == 0:
|
||||
extend_message = {
|
||||
"role": "user",
|
||||
"content": json.dumps({
|
||||
"messages": value
|
||||
})
|
||||
}
|
||||
BASE_MESSAGE.append(extend_message)
|
||||
await create_request_ai(
|
||||
messages=BASE_MESSAGE
|
||||
|
||||
gemini_response = await gemini_helper.create_request_ai(
|
||||
messages=value
|
||||
)
|
||||
# print(gemini_response)
|
||||
# print("*" * 100, "GEMINI", "*" * 100)
|
||||
|
||||
groq_response = await groq_helper.create_request_ai(
|
||||
messages=value,
|
||||
)
|
||||
sleep(20)
|
||||
# print(groq_response)
|
||||
# print("*" * 100, "GROQ", "*" * 100)
|
||||
|
||||
for _ in value:
|
||||
print(_)
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user