deepak6593 commited on
Commit
ebaba5e
·
1 Parent(s): 8869031

adding files

Browse files
Files changed (1) hide show
  1. main.py +10 -10
main.py CHANGED
@@ -40,15 +40,12 @@ def append_to_gcs_csv(new_data, gcs_file_path):
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  # Check if the file exists in GCS bucket
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  blob = gcs_bucket.blob(gcs_file_path)
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- exists = blob.exists()
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-
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- # If file exists, read it into a DataFrame
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- if exists:
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  existing_data = pd.read_csv(io.BytesIO(blob.download_as_bytes()))
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  # Ensure existing data has the right columns
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  existing_data = existing_data[['category', 'score']]
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  # Append new data to existing data
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- combined_data = pd.concat([existing_data, new_data], ignore_index=True)
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  else:
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  combined_data = new_data
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@@ -68,10 +65,13 @@ async def upload_file(file: UploadFile = File(...)):
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  @app.post("/upload-data/")
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  async def upload_data(category: str = Form(...), score: float = Form(...)):
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- df = pd.DataFrame([[category, score]], columns=['category', 'score'])
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- append_to_gcs_csv(df, gcs_file_path)
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- return {"message": "Data uploaded successfully"}
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-
 
 
 
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  @app.post("/upload-data-raw/")
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  async def upload_data_raw(payload: dict):
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  # sourcery skip: raise-from-previous-error
@@ -94,4 +94,4 @@ async def clear_data():
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  csv_data = empty_df.to_csv(index=False).encode('utf-8')
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  # Overwrite the existing file in GCS with the empty CSV data
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  gcs_bucket.blob(gcs_file_path).upload_from_string(csv_data, content_type='text/csv')
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- return {"message": "Data cleared successfully"}
 
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  # Check if the file exists in GCS bucket
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  blob = gcs_bucket.blob(gcs_file_path)
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+ if exists := blob.exists():
 
 
 
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  existing_data = pd.read_csv(io.BytesIO(blob.download_as_bytes()))
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  # Ensure existing data has the right columns
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  existing_data = existing_data[['category', 'score']]
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  # Append new data to existing data
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+ combined_data = pd.concat([existing_data, new_data], ignore_index=True).dropna(how='all')
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  else:
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  combined_data = new_data
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  @app.post("/upload-data/")
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  async def upload_data(category: str = Form(...), score: float = Form(...)):
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+ try:
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+ df = pd.DataFrame([[category, score]], columns=['category', 'score'])
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+ append_to_gcs_csv(df, gcs_file_path)
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+ return {"message": "Data uploaded successfully"}
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+ except Exception as e:
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+ raise HTTPException(status_code=422, detail=str(e))
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+
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  @app.post("/upload-data-raw/")
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  async def upload_data_raw(payload: dict):
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  # sourcery skip: raise-from-previous-error
 
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  csv_data = empty_df.to_csv(index=False).encode('utf-8')
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  # Overwrite the existing file in GCS with the empty CSV data
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  gcs_bucket.blob(gcs_file_path).upload_from_string(csv_data, content_type='text/csv')
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+ return {"message": "Data cleared successfully"}