Files
trade-assistant/backend/app/api/v1/training.py
T
TradeMate Dev 23a31f7c00 feat: silent wechat login, marketing tab optimization, admin page foundation
- Add silent WeChat login for MP/browser environments
- Fix Python 3.6 compatibility (remove typing.Annotated usage)
- Marketing page: tab-based content generation with category support
- Translate page: add auto-detect language default
- Homepage: add TTS playback, announcement ticker, remove redundant quick-actions
- Fix FAB button overlap with custom tabbar on customers/quotation pages
- Make openai/anthropic imports lazy for Python 3.6 compat
2026-05-14 00:30:48 +08:00

44 lines
1.0 KiB
Python

from fastapi import APIRouter, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from app.database import get_db
from app.services.corpus_trainer import CorpusTrainer
from app.api.v1.deps import get_current_user_id
router = APIRouter()
@router.post("/corpus/run")
async def run_corpus_training(
db: AsyncSession = Depends(get_db),
):
trainer = CorpusTrainer(db)
result = await trainer.run_pipeline()
return result
@router.post("/corpus/embeddings")
async def compute_embeddings(
batch_size: int = 50,
db: AsyncSession = Depends(get_db),
):
trainer = CorpusTrainer(db)
result = await trainer.compute_embeddings(batch_size)
return result
@router.get("/corpus/stats")
async def corpus_stats(
db: AsyncSession = Depends(get_db),
):
trainer = CorpusTrainer(db)
return await trainer.get_stats()
@router.post("/corpus/deduplicate")
async def deduplicate_corpus(
db: AsyncSession = Depends(get_db),
):
trainer = CorpusTrainer(db)
result = await trainer.deduplicate()
return result