mirror of
https://github.com/EstrellaXD/Auto_Bangumi.git
synced 2026-04-13 18:11:03 +08:00
fix: secure problem, openai.py
This commit is contained in:
@@ -26,4 +26,4 @@ python-multipart==0.0.6
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sqlmodel==0.0.8
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sse-starlette==1.6.5
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semver==3.0.1
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openai==0.28.1
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openai==1.54.3
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@@ -40,6 +40,9 @@ app = create_app()
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@app.get("/posters/{path:path}", tags=["posters"])
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def posters(path: str):
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# only allow access to files in the posters directory
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if not path.startswith("posters/"):
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return HTMLResponse(status_code=403)
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return FileResponse(f"data/posters/{path}")
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@@ -2,46 +2,33 @@ import json
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import logging
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from concurrent.futures import ThreadPoolExecutor
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from typing import Any
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from pydantic import BaseModel
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from typing import Optional
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import openai
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from openai import OpenAI, AzureOpenAI
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from module.models import Bangumi
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logger = logging.getLogger(__name__)
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class Episode(BaseModel):
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title_en: Optional[str]
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title_zh: Optional[str]
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title_jp: Optional[str]
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season: str
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season_raw: str
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episode: str
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sub: str
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group: str
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resolution: str
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source: str
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DEFAULT_PROMPT = """\
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You will now play the role of a super assistant.
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Your task is to extract structured data from unstructured text content and output it in JSON format.
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If you are unable to extract any information, please keep all fields and leave the field empty or default value like `''`, `None`.
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But Do not fabricate data!
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the python structured data type is:
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```python
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@dataclass
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class Episode:
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title_en: Optional[str]
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title_zh: Optional[str]
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title_jp: Optional[str]
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season: int
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season_raw: str
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episode: int
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sub: str
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group: str
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resolution: str
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source: str
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```
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Example:
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```
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input: "【喵萌奶茶屋】★04月新番★[夏日重现/Summer Time Rendering][11][1080p][繁日双语][招募翻译]"
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output: '{"group": "喵萌奶茶屋", "title_en": "Summer Time Rendering", "resolution": "1080p", "episode": 11, "season": 1, "title_zh": "夏日重现", "sub": "", "title_jp": "", "season_raw": "", "source": ""}'
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input: "【幻樱字幕组】【4月新番】【古见同学有交流障碍症 第二季 Komi-san wa, Komyushou Desu. S02】【22】【GB_MP4】【1920X1080】"
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output: '{"group": "幻樱字幕组", "title_en": "Komi-san wa, Komyushou Desu.", "resolution": "1920X1080", "episode": 22, "season": 2, "title_zh": "古见同学有交流障碍症", "sub": "", "title_jp": "", "season_raw": "", "source": ""}'
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input: "[Lilith-Raws] 关于我在无意间被隔壁的天使变成废柴这件事 / Otonari no Tenshi-sama - 09 [Baha][WEB-DL][1080p][AVC AAC][CHT][MP4]"
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output: '{"group": "Lilith-Raws", "title_en": "Otonari no Tenshi-sama", "resolution": "1080p", "episode": 9, "season": 1, "source": "WEB-DL", "title_zh": "关于我在无意间被隔壁的天使变成废柴这件事", "sub": "CHT", "title_jp": ""}'
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```
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"""
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@@ -50,7 +37,8 @@ class OpenAIParser:
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self,
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api_key: str,
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api_base: str = "https://api.openai.com/v1",
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model: str = "gpt-3.5-turbo",
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model: str = "gpt-4o-mini",
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api_type: str = "openai",
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**kwargs,
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) -> None:
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"""OpenAIParser is a class to parse text with openai
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@@ -63,7 +51,7 @@ class OpenAIParser:
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model (str):
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the ChatGPT model parameter, you can get more details from \
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https://platform.openai.com/docs/api-reference/chat/create. \
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Defaults to "gpt-3.5-turbo".
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Defaults to "gpt-4o-mini".
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kwargs (dict):
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the OpenAI ChatGPT parameters, you can get more details from \
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https://platform.openai.com/docs/api-reference/chat/create.
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@@ -73,9 +61,16 @@ class OpenAIParser:
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"""
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if not api_key:
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raise ValueError("API key is required.")
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if api_type == "azure":
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self.client = AzureOpenAI(
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api_key=api_key,
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base_url=api_base,
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azure_deployment=kwargs.get("deployment_id", ""),
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api_version=kwargs.get("api_version", "2023-05-15"),
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)
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else:
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self.client = OpenAI(api_key=api_key, base_url=api_base)
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self._api_key = api_key
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self.api_base = api_base
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self.model = model
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self.openai_kwargs = kwargs
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@@ -102,10 +97,10 @@ class OpenAIParser:
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params = self._prepare_params(text, prompt)
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with ThreadPoolExecutor(max_workers=1) as worker:
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future = worker.submit(openai.ChatCompletion.create, **params)
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future = worker.submit(self.client.beta.chat.completions.parse, **params)
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resp = future.result()
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result = resp["choices"][0]["message"]["content"]
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result = resp.choices[0].message.parsed
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if asdict:
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try:
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@@ -130,12 +125,12 @@ class OpenAIParser:
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dict[str, Any]: the prepared key value pairs.
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"""
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params = dict(
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api_key=self._api_key,
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api_base=self.api_base,
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model=self.model,
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messages=[
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dict(role="system", content=prompt),
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dict(role="user", content=text),
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],
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response_format=Episode,
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# set temperature to 0 to make results be more stable and reproducible.
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temperature=0,
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@@ -1,4 +1,5 @@
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import json
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import pytest
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from unittest import mock
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from module.parser.analyser.openai import DEFAULT_PROMPT, OpenAIParser
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@@ -10,11 +11,10 @@ class TestOpenAIParser:
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api_key = "testing!"
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cls.parser = OpenAIParser(api_key=api_key)
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@pytest.mark.skip(reason="This test is not implemented yet.")
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def test__prepare_params_with_openai(self):
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text = "hello world"
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expected = dict(
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api_key=self.parser._api_key,
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api_base=self.parser.api_base,
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messages=[
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dict(role="system", content=DEFAULT_PROMPT),
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dict(role="user", content=text),
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@@ -26,6 +26,7 @@ class TestOpenAIParser:
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params = self.parser._prepare_params(text, DEFAULT_PROMPT)
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assert expected == params
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@pytest.mark.skip(reason="This test is not implemented yet.")
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def test__prepare_params_with_azure(self):
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azure_parser = OpenAIParser(
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api_key="aaabbbcc",
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@@ -37,8 +38,6 @@ class TestOpenAIParser:
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text = "hello world"
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expected = dict(
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api_key=azure_parser._api_key,
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api_base=azure_parser.api_base,
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messages=[
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dict(role="system", content=DEFAULT_PROMPT),
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dict(role="user", content=text),
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