Create modules/result_synthesizer.py
Browse files
modules/result_synthesizer.py
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# modules/result_synthesizer.py
|
| 2 |
+
import os
|
| 3 |
+
from openai import AsyncOpenAI
|
| 4 |
+
|
| 5 |
+
client = AsyncOpenAI(api_key=os.getenv("OPENAI_API_KEY"))
|
| 6 |
+
|
| 7 |
+
class ResultSynthesizer:
|
| 8 |
+
def __init__(self):
|
| 9 |
+
pass
|
| 10 |
+
|
| 11 |
+
async def synthesize(self, results, output_lang):
|
| 12 |
+
formatted_results = self._format_results(results)
|
| 13 |
+
|
| 14 |
+
response = await client.chat.completions.create(
|
| 15 |
+
model="gpt-4o",
|
| 16 |
+
messages=[
|
| 17 |
+
{"role": "system", "content": f"You are a multilingual summarizer. Your job is to synthesize information into well-organized output in {output_lang}."},
|
| 18 |
+
{"role": "user", "content": formatted_results}
|
| 19 |
+
]
|
| 20 |
+
)
|
| 21 |
+
return response.choices[0].message.content
|
| 22 |
+
|
| 23 |
+
def _format_results(self, results):
|
| 24 |
+
texts = []
|
| 25 |
+
for r in results:
|
| 26 |
+
q = r.get("query")
|
| 27 |
+
if "results" in r:
|
| 28 |
+
for res in r["results"]:
|
| 29 |
+
text = res.get("summary", "")
|
| 30 |
+
url = res.get("url", "")
|
| 31 |
+
texts.append(f"[Query: {q}]\n{text}\n(Source: {url})")
|
| 32 |
+
elif "error" in r:
|
| 33 |
+
texts.append(f"[Query: {q}]\nError: {r['error']}")
|
| 34 |
+
return "\n\n".join(texts)
|