最新哦,分词策略放到cli了

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minorQAQ committed 2026-06-01 22:23:00 +08:00
1 parent fcc94ffd73
commit f9f9645fa1
9 files changed
+270 -305

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+26 -4
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@@ -10,6 +10,7 @@ from pydantic import Field
import re, json
from datetime import datetime as dt
import requests
from concurrent.futures import ThreadPoolExecutor, as_completed
from langchain_core.messages import HumanMessage, AIMessage, BaseMessage, SystemMessage
from langchain_core.outputs import ChatResult, ChatGeneration
@@ -17,7 +18,7 @@ from langchain_openai import ChatOpenAI
from agent.utils.image_utils import image_bytes_to_openai_image_url_part
from agent.utils.env_utils import LLM_API_KEY, LLM_BASE_URL, LLM_MODEL, LLM_TIMEOUT, TTS_BASE_URL, ASR_BASE_URL
from agent.utils.agent_utils import assistant_text, Documents_process
from agent.utils.agent_utils import assistant_text, Documents_process, split_text, merge_wavs
from agent.utils.image_utils import image_path_to_openai_image_url_part, image_bytes_to_openai_image_url_part, IMAGE_FILE_EXTENSIONS
from agent.memory.system_prompt import VISION_SYSTEM_PROMPT
@@ -218,9 +219,30 @@ class ChatQwen(ChatOpenAI):
return new_messages
def _text_to_audio(self, text: str) -> bytes:
resp = requests.get(f"{TTS_BASE_URL}/tts", params={"text": text})
resp.raise_for_status()
return resp.content
chunks = split_text(text)
if len(chunks) == 1:
resp = requests.get(f"{TTS_BASE_URL}/tts", params={"text": chunks[0]})
resp.raise_for_status()
return resp.content
# 多块并行请求
audio_parts = [None] * len(chunks)
with ThreadPoolExecutor(max_workers=min(len(chunks), 4)) as pool:
future_to_idx = {
pool.submit(
lambda t: requests.get(
f"{TTS_BASE_URL}/tts", params={"text": t}
).content,
chunk
): idx for idx, chunk in enumerate(chunks)
}
for future in as_completed(future_to_idx):
idx = future_to_idx[future]
try:
audio_parts[idx] = future.result()
except Exception as e:
raise RuntimeError(f"TTS request failed for chunk {idx}: {e}")
return merge_wavs(audio_parts)
@staticmethod
def _get_wav_duration_seconds(audio_bytes: bytes) -> float | None:
+44 -26
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@@ -5,7 +5,7 @@ import shutil
import sqlite3
from typing import List, Tuple, Any
import pathlib
import mimetypes
import mimetypes, re
from langchain_community.chat_message_histories import SQLChatMessageHistory
from langchain_core.messages import BaseMessage, SystemMessage, HumanMessage
@@ -527,32 +527,50 @@ class Documents_process:
return Documents_process.process_tabular(file_path)
else:
raise ValueError(f"未处理的文件类型: {file_type}")
# 文本分块工具
SENT_SPLIT_PATTERN = re.compile(r'(?<=[。!?;,、])')
REMOVE_PUNCT_PATTERN = re.compile(r'[。!?;,、:;“”()《》【】\-\_\—\~\.\,\!\?\s·]')
def effective_length(text: str) -> int:
return len(REMOVE_PUNCT_PATTERN.sub('', text))
if __name__ == "__main__":
docx_path = r"C:\Users\86166\Desktop\Agent_Learning_minor\信息科学与工程学院-赵永顺-《兼爱》——墨翟一生的“白月光”.docx"
pdf_path = r"C:\Users\86166\Desktop\Agent_Learning_minor\信息科学与工程学院-赵永顺-《兼爱》——墨翟一生的“白月光”.pdf"
xlsx_path = r"C:\Users\86166\Desktop\Agent_Learning_minor\电科二班2025德育评价.xlsx"
py_path = r"C:\Users\86166\Desktop\Agent_Learning_minor\speech_server.py"
def split_text(text: str, min_effective_chars: int = 20) -> list[str]:
# 先按标点粗分
raw_chunks = [c.strip() for c in SENT_SPLIT_PATTERN.split(text) if c.strip()]
if not raw_chunks:
return [text]
merged = []
buffer = ""
for chunk in raw_chunks:
buffer += chunk
# 当累积的有效字符数达到阈值,或已是最后一个块时,切出一块
if effective_length(buffer) >= min_effective_chars:
merged.append(buffer)
buffer = ""
if buffer: # 剩余部分(必然小于阈值)
if merged:
merged[-1] += buffer # 合并到最后一块
else:
merged.append(buffer) # 整段文本都太短,保留原样
return merged
output_path = "test_results.txt"
with open(output_path, "w", encoding="utf-8") as f:
test_files = [
("py", py_path),
("docx", docx_path),
("xlsx", xlsx_path),
("pdf", pdf_path),
]
for label, path in test_files:
f.write(f"\n===== 测试 {label} 文件:{path} =====\n")
try:
text, images = Documents_process.process(path)
f.write(f"提取文本长度:{len(text)}\n")
f.write(f"提取图片数量:{len(images)}\n")
f.write("文本预览:\n")
f.write(text)
except Exception as e:
f.write(f"❌ 处理失败: {e}\n")
print(f"测试结果已写入 {output_path}")
def merge_wavs(audio_parts: list[bytes]) -> bytes:
"""将多个 WAV 字节串按顺序拼接成一个 WAV"""
if len(audio_parts) == 1:
return audio_parts[0]
import io, wave
data_frames = []
params = None
for part in audio_parts:
with wave.open(io.BytesIO(part), 'rb') as wf:
if params is None:
params = wf.getparams()
data_frames.append(wf.readframes(wf.getnframes()))
buf = io.BytesIO()
with wave.open(buf, 'wb') as wf_out:
wf_out.setparams(params)
for frames in data_frames:
wf_out.writeframes(frames)
return buf.getvalue()
+6 -19
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@@ -27,21 +27,13 @@ if str(_SRC) not in sys.path:
from agent import chatbot_agent as ca # noqa: E402
from web import ui_session as ui # noqa: E402
from agent.utils.image_utils import IMAGE_FILE_EXTENSIONS # noqa: E402
from agent.utils.agent_utils import DOC_EXT_MAP # noqa: E402
_WEB_DIR = Path(__file__).resolve().parent
_IMAGE_DIR = _WEB_DIR / "image"
_AUDIO_EXT = frozenset({".wav", ".mp3", ".m4a", ".flac", ".ogg", ".webm"})
_IMAGE_EXT = frozenset(IMAGE_FILE_EXTENSIONS)
def _infer_upload_kind(fp: str) -> str | None:
ext = os.path.splitext(fp)[1].lower()
if ext in _IMAGE_EXT:
return "image"
if ext in _AUDIO_EXT:
return "audio"
return "file"
_FILE_EXT = frozenset(DOC_EXT_MAP.keys())
def _data_url_for_file(fp: str) -> str | None:
@@ -92,7 +84,6 @@ def _serialize_content(content: Any, *, meta: dict[str, Any] | None = None, role
parts.append({"type": "text", "text": piece.get("text") or ""})
continue
fp = piece.get("path") or (piece.get("file") or {}).get("path")
display_name = piece.get("name")
if piece.get("type") == "image_url":
fp = fp or (piece.get("image_url") or {}).get("url")
if piece.get("type") == "audio":
@@ -104,19 +95,19 @@ def _serialize_content(content: Any, *, meta: dict[str, Any] | None = None, role
continue
ext = os.path.splitext(fp)[1].lower()
if ext in IMAGE_FILE_EXTENSIONS:
parts.append({"type": "image", "url": data_url, "path": fp, "name": display_name or os.path.basename(fp)})
parts.append({"type": "image", "url": data_url, "path": fp, "name": os.path.basename(fp)})
elif ext in _AUDIO_EXT:
audio_meta = meta.get("audio") if isinstance(meta.get("audio"), dict) else {}
parts.append({
"type": "audio",
"url": data_url,
"path": fp,
"name": display_name or os.path.basename(fp),
"name": os.path.basename(fp),
"autoplay": bool(meta.get("autoplay") or audio_meta.get("autoplay")) if role == "assistant" else False,
"duration_seconds": audio_meta.get("duration_seconds"),
})
else:
parts.append({"type": "file", "url": data_url, "path": fp, "name": display_name or os.path.basename(fp)})
parts.append({"type": "file", "url": data_url, "path": fp, "name": os.path.basename(fp)})
return parts
@@ -253,7 +244,6 @@ def _materialize_uploads_to_temp(
"""将上传文件落盘到临时目录,返回 ``(query_dict, tmp_root)``;调用方须在 finally 中删除 ``tmp_root``。"""
tmp_root = tempfile.mkdtemp(prefix="web_mm_")
file_paths: list[str] = []
file_names: list[str] = []
for uf in images or []:
if uf is None or not uf.filename:
continue
@@ -262,7 +252,6 @@ def _materialize_uploads_to_temp(
with open(dest, "wb") as f:
shutil.copyfileobj(uf.file, f)
file_paths.append(dest)
file_names.append(uf.filename)
for uf in files or []:
if uf is None or not uf.filename:
@@ -272,7 +261,6 @@ def _materialize_uploads_to_temp(
with open(dest, "wb") as f:
shutil.copyfileobj(uf.file, f)
file_paths.append(dest)
file_names.append(uf.filename)
if audio is not None and audio.filename:
ext = Path(audio.filename).suffix or ".bin"
@@ -280,9 +268,8 @@ def _materialize_uploads_to_temp(
with open(dest, "wb") as f:
shutil.copyfileobj(audio.file, f)
file_paths.append(dest)
file_names.append(audio.filename)
query = {"text": (text or "").strip(), "files": file_paths, "file_names": file_names}
query = {"text": (text or "").strip(), "files": file_paths}
return query, tmp_root