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Upload main.py
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main.py
CHANGED
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@@ -491,61 +491,6 @@ async def modelforecast_file(
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}
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return await _forward_stream("/modelforecast-file/", files=files, data=None, method="POST")
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@app.post("/modelfit-file-demo/")
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@GLOBAL_LIMIT
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@limiter.limit("10/10minute") # 10 calls per 10 minutes per IP
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async def modelfit_file_demo(
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request: Request,
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file: UploadFile = File(...),
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id_col: str = Form(...),
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time_col: str = Form(...),
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y: str = Form(...),
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# optional knobs
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lag_y: str = Form(""),
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lagged_features: str = Form(""),
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current_features: str = Form(""),
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filter_by_significance: str = Form("false"),
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meanvar_test: str = Form("false"),
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):
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# read once, size-guard it, then forward
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raw = await file.read()
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if len(raw) > SDK_MAX_BODY_BYTES:
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raise HTTPException(status_code=413, detail="Payload too large.")
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files = {
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"file": (file.filename, raw, file.content_type or "application/octet-stream"),
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}
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data = {
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"id_col": id_col,
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"time_col": time_col,
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"y": y,
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"lag_y": lag_y,
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"lagged_features": lagged_features,
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"current_features": current_features,
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"filter_by_significance": filter_by_significance,
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"meanvar_test": meanvar_test,
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}
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# the path goes to the private demo route
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return await _forward_demo_stream("/modelfit-file-demo/", files=files, data=data, method="POST")
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@app.post("/modelforecast-file-demo/")
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@GLOBAL_LIMIT
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@limiter.limit("10/10minute")
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async def modelforecast_file_demo(
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request: Request,
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df_forecast: UploadFile = File(...),
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):
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raw = await df_forecast.read()
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if len(raw) > SDK_MAX_BODY_BYTES:
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raise HTTPException(status_code=413, detail="Payload too large.")
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files = {
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"df_forecast": (df_forecast.filename, raw, df_forecast.content_type or "application/octet-stream"),
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}
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return await _forward_demo_stream("/modelforecast-file-demo/", files=files, data=None, method="POST")
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@app.get("/health-demo-proxy")
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async def health_demo_proxy():
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# convenience endpoint to test demo proxy hop
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@@ -554,61 +499,4 @@ async def health_demo_proxy():
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except HTTPException as e:
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# bubble up errors so you can diagnose missing config, wrong URL, etc.
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raise e
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@app.post("/modelfit_ind/")
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async def modelfit_ind(req: Request):
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body = await req.json()
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return await _forward("/modelfit_ind/", "POST", json_body=body)
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@app.post("/modelforecast_ind/")
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async def modelforecast_ind(req: Request):
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body = await req.json()
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return await _forward("/modelforecast_ind/", "POST", json_body=body)
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@app.post("/modelfit-file_ind/")
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async def modelfit_file_ind(
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req: Request,
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file: UploadFile = File(...),
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id_col: str = Form(...),
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time_col: str = Form(...),
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y: str = Form(...),
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lag_y: str = Form(""),
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lagged_features: str = Form(""),
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current_features: str = Form(""),
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filter_by_significance: str = Form("false"),
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meanvar_test: str = Form("false"),
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signif: str = Form("0.05"),
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):
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raw = await file.read()
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if len(raw) > SDK_MAX_BODY_BYTES_extended:
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raise HTTPException(status_code=413, detail="Payload too large.")
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files = {
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"file": (file.filename, raw, file.content_type or "application/octet-stream"),
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}
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data = {
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"id_col": id_col,
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"time_col": time_col,
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"y": y,
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"lag_y": lag_y,
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"lagged_features": lagged_features,
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"current_features": current_features,
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"filter_by_significance": filter_by_significance,
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"meanvar_test": meanvar_test,
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"signif": signif,
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}
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return await _forward_stream("/modelfit-file_ind/", files=files, data=data, method="POST")
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@app.post("/modelforecast-file_ind/")
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async def modelforecast_file_ind(
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req: Request,
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df_forecast: UploadFile = File(...),
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):
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raw = await df_forecast.read()
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if len(raw) > SDK_MAX_BODY_BYTES_extended:
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raise HTTPException(status_code=413, detail="Payload too large.")
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files = {
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"df_forecast": (df_forecast.filename, raw, df_forecast.content_type or "application/octet-stream"),
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}
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return await _forward_stream("/modelforecast-file_ind/", files=files, data=None, method="POST")
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}
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return await _forward_stream("/modelforecast-file/", files=files, data=None, method="POST")
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@app.get("/health-demo-proxy")
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async def health_demo_proxy():
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# convenience endpoint to test demo proxy hop
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except HTTPException as e:
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# bubble up errors so you can diagnose missing config, wrong URL, etc.
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raise e
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