File size: 8,971 Bytes
792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 951d5c6 792ad00 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 | import json
import logging
import os
import asyncio
import tempfile
from typing import List, Dict, Optional, Any
import openai
from core.config import settings
from core.prompts import get_report_prompt, get_report_suggestion_prompt
from services.s3_service import s3_service
logger = logging.getLogger(__name__)
class ReportService:
def __init__(self):
self.openai_client = openai.OpenAI(api_key=settings.OPENAI_API_KEY)
async def generate_format_suggestions(
self,
file_key: Optional[str] = None,
text_input: Optional[str] = None,
language: str = "Japanese"
) -> List[Dict[str, str]]:
"""
Generates 4 AI-suggested report formats based on the content.
Uses asyncio.to_thread for all blocking I/O operations.
"""
try:
system_prompt = get_report_suggestion_prompt(language)
if file_key:
# Download PDF from S3 (non-blocking)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
tmp_path = tmp.name
tmp.close()
try:
await asyncio.to_thread(
s3_service.s3_client.download_file,
settings.AWS_S3_BUCKET,
file_key,
tmp_path
)
# Upload to OpenAI (non-blocking)
def upload_to_openai():
with open(tmp_path, "rb") as f:
return self.openai_client.files.create(
file=f,
purpose="assistants"
)
uploaded_file = await asyncio.to_thread(upload_to_openai)
messages = [
{"role": "system", "content": system_prompt},
{
"role": "user",
"content": [
{
"type": "file",
"file": {"file_id": uploaded_file.id}
}
]
}
]
# Call OpenAI (non-blocking)
response = await asyncio.to_thread(
self.openai_client.chat.completions.create,
model="gpt-4o-mini",
messages=messages,
response_format={"type": "json_object"},
temperature=0.7
)
# Clean up OpenAI file (non-blocking)
await asyncio.to_thread(
self.openai_client.files.delete,
uploaded_file.id
)
raw_content = response.choices[0].message.content
finally:
if os.path.exists(tmp_path):
await asyncio.to_thread(os.remove, tmp_path)
elif text_input:
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": f"Analyze this content:\n\n{text_input}"}
]
# Call OpenAI (non-blocking)
response = await asyncio.to_thread(
self.openai_client.chat.completions.create,
model="gpt-4o-mini",
messages=messages,
response_format={"type": "json_object"},
temperature=0.7
)
raw_content = response.choices[0].message.content
else:
raise ValueError("Either file_key or text_input must be provided")
data = json.loads(raw_content)
return data.get("suggestions", [])
except Exception as e:
logger.error(f"Format suggestion failed: {e}")
return []
async def generate_report(
self,
file_key: Optional[str] = None,
text_input: Optional[str] = None,
format_key: str = "briefing_doc",
custom_prompt: Optional[str] = None,
language: str = "Japanese"
) -> str:
"""
Generates a full report based on the selected format.
Uses asyncio.to_thread for all blocking I/O operations.
"""
try:
base_prompt = get_report_prompt(format_key, custom_prompt or "", language)
# Language styling instruction
if language == "Japanese":
system_prompt = (
"あなたは日本語でレポートを作成するAIアシスタントです。すべての回答は日本語で書いてください。\n\n"
f"{base_prompt}\n\n"
"重要: レポート全体を日本語で書いてください。回答はマークダウン形式で、適切な見出し、箇跨書き、構造を使用して読みやすくフォーマットしてください。"
)
else:
system_prompt = (
"You are an AI assistant that creates reports in English. Write all responses in English.\n\n"
f"{base_prompt}\n\n"
"IMPORTANT: Write the entire report in English. Please format your response in markdown with proper headings, bullet points, and structure for easy reading."
)
if file_key:
# Download PDF from S3 (non-blocking)
tmp = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
tmp_path = tmp.name
tmp.close()
try:
await asyncio.to_thread(
s3_service.s3_client.download_file,
settings.AWS_S3_BUCKET,
file_key,
tmp_path
)
# Upload to OpenAI (non-blocking)
def upload_to_openai():
with open(tmp_path, "rb") as f:
return self.openai_client.files.create(
file=f,
purpose="assistants"
)
uploaded_file = await asyncio.to_thread(upload_to_openai)
messages = [
{"role": "system", "content": system_prompt},
{
"role": "user",
"content": [
{
"type": "file",
"file": {"file_id": uploaded_file.id}
}
]
}
]
# Call OpenAI (non-blocking)
response = await asyncio.to_thread(
self.openai_client.chat.completions.create,
model="gpt-4o-mini",
messages=messages,
temperature=0.7
)
# Clean up OpenAI (non-blocking)
await asyncio.to_thread(
self.openai_client.files.delete,
uploaded_file.id
)
return response.choices[0].message.content
finally:
if os.path.exists(tmp_path):
await asyncio.to_thread(os.remove, tmp_path)
elif text_input:
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": f"Please analyze the following content and generate a report based on it:\n\n{text_input}"}
]
# Call OpenAI (non-blocking)
response = await asyncio.to_thread(
self.openai_client.chat.completions.create,
model="gpt-4o-mini",
messages=messages,
temperature=0.7
)
return response.choices[0].message.content
else:
raise ValueError("Either file_key or text_input must be provided")
except Exception as e:
logger.error(f"Report generation failed: {e}")
raise
report_service = ReportService()
|