clean up

Former-commit-id: d1f922ab91897226d5e03e492080c0e390d35efe

api/main.py

@@ -1,61 +1,130 @@
 import os
+
 import re
-from pathlib import Path
-from typing import Dict, List
+from multiprocessing import Process
+from tempfile import NamedTemporaryFile
+from typing import List, TypedDict
+
+import uvicorn
+from fastapi import FastAPI, Request, UploadFile
+from fastapi.responses import HTMLResponse
+from fastapi.staticfiles import StaticFiles
+from pydantic import BaseModel
+
+from api.container import agent_manager, file_handler, reload_dirs, templates, uploader
+from api.worker import get_task_result, start_worker, task_execute
+# from env import settings
+
+app = FastAPI()
+
+app.mount("/static", StaticFiles(directory=uploader.path), name="static")
+
+
+class ExecuteRequest(BaseModel):
+    session: str
+    prompt: str
+    files: List[str]
+
+
+class ExecuteResponse(TypedDict):
+    answer: str
+    files: List[str]
+
+
+@app.get("/", response_class=HTMLResponse)
+async def index(request: Request):
+    return templates.TemplateResponse("index.html", {"request": request})
+
+
+@app.get("/dashboard", response_class=HTMLResponse)
+async def dashboard(request: Request):
+    return templates.TemplateResponse("dashboard.html", {"request": request})
+
+
+@app.post("/upload")
+async def create_upload_file(files: List[UploadFile]):
+    urls = []
+    for file in files:
+        extension = "." + file.filename.split(".")[-1]
+        with NamedTemporaryFile(suffix=extension) as tmp_file:
+            tmp_file.write(file.file.read())
+            tmp_file.flush()
+            urls.append(uploader.upload(tmp_file.name))
+    return {"urls": urls}
+
+
+@app.post("/api/execute")
+async def execute(request: ExecuteRequest) -> ExecuteResponse:
+    query = request.prompt
+    files = request.files
+    session = request.session
+
+    executor = agent_manager.create_executor(session)
+
+    promptedQuery = "\n".join([file_handler.handle(file) for file in files])
+    promptedQuery += query
 
-from fastapi.templating import Jinja2Templates
+    try:
+        res = executor({"input": promptedQuery})
+    except Exception as e:
+        return {"answer": str(e), "files": []}
 
-from swarms import Swarms
-from swarms.utils.utils import BaseHandler, FileHandler, FileType, StaticUploader, CsvToDataframe
+    files = re.findall(r"\[file://\S*\]", res["output"])
+    files = [file[1:-1].split("file://")[1] for file in files]
 
-from swarms.tools.main import BaseToolSet, ExitConversation, RequestsGet, CodeEditor, Terminal
+    return {
+        "answer": res["output"],
+        "files": [uploader.upload(file) for file in files],
+    }
 
 
-BASE_DIR = Path(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-os.chdir(BASE_DIR / os.getenv("PLAYGROUND_DIR"))
+@app.post("/api/execute/async")
+async def execute_async(request: ExecuteRequest):
+    query = request.prompt
+    files = request.files
+    session = request.session
 
-api_key = os.getenv("OPENAI_API_KEY")
+    promptedQuery = "\n".join([file_handler.handle(file) for file in files])
+    promptedQuery += query
 
-toolsets: List[BaseToolSet] = [
-    Terminal(),
-    CodeEditor(),
-    RequestsGet(),
-    ExitConversation(),
-]
-handlers: Dict[FileType, BaseHandler] = {FileType.DATAFRAME: CsvToDataframe()}
+    execution = task_execute.delay(session, promptedQuery)
+    return {"id": execution.id}
 
-if os.getenv("USE_GPU") == "True":
-    import torch
 
-    from swarms.tools.main import ImageCaptioning
-    from swarms.tools.main import (
-        ImageEditing,
-        InstructPix2Pix,
-        Text2Image,
-        VisualQuestionAnswering,
-    )
+@app.get("/api/execute/async/{execution_id}")
+async def execute_async(execution_id: str):
+    execution = get_task_result(execution_id)
 
-    if torch.cuda.is_available():
-        toolsets.extend(
-            [
-                Text2Image("cuda"),
-                ImageEditing("cuda"),
-                InstructPix2Pix("cuda"),
-                VisualQuestionAnswering("cuda"),
-            ]
-        )
-        handlers[FileType.IMAGE] = ImageCaptioning("cuda")
+    result = {}
+    if execution.status == "SUCCESS" and execution.result:
+        output = execution.result.get("output", "")
+        files = re.findall(r"\[file://\S*\]", output)
+        files = [file[1:-1].split("file://")[1] for file in files]
+        result = {
+            "answer": output,
+            "files": [uploader.upload(file) for file in files],
+        }
 
-swarms = Swarms(api_key)
+    return {
+        "status": execution.status,
+        "info": execution.info,
+        "result": result,
+    }
 
-file_handler = FileHandler(handlers=handlers, path=BASE_DIR)
 
-templates = Jinja2Templates(directory=BASE_DIR / "api" / "templates")
+def serve():
+    p = Process(target=start_worker, args=[])
+    p.start()
+    uvicorn.run("api.main:app", host="0.0.0.0", port=os.environ["EVAL_PORT"])
 
-uploader = StaticUploader(
-    static_dir=BASE_DIR / "static",
-    endpoint="static",
-    public_url=os.getenv("PUBLIC_URL")
-)
 
-reload_dirs = [BASE_DIR / "swarms", BASE_DIR / "api"]
+def dev():
+    p = Process(target=start_worker, args=[])
+    p.start()
+    uvicorn.run(
+        "api.main:app",
+        host="0.0.0.0",
+        port=os.environ["EVAL_PORT"],
+        reload=True,
+        reload_dirs=reload_dirs,
+    )