MAI_PIbd-33_Tikhonenkov_A_E/backend/api.py
2024-11-22 22:56:37 +04:00

58 lines
1.4 KiB
Python

from apiflask import FileSchema, Schema, fields
from flask import send_file
from backend import api_bp, dataset_path
from backend.service import Service
class FileUpload(Schema):
file = fields.File(required=True)
class ColumnInfoDto(Schema):
datatype = fields.String()
items = fields.List(fields.String())
class TableColumnDto(Schema):
name = fields.String()
datatype = fields.String()
items = fields.List(fields.String())
service = Service(dataset_path)
@api_bp.post("/dataset")
@api_bp.input(FileUpload, location="files")
def upload_dataset(files_data):
uploaded_file = files_data["file"]
return service.upload_dataset(uploaded_file)
@api_bp.get("/dataset")
def get_all_datasets():
return service.get_all_datasets()
@api_bp.get("/dataset/<string:name>")
@api_bp.output(TableColumnDto(many=True))
def get_dataset_info(name: str):
return service.get_dataset_info(name)
@api_bp.get("/dataset/<string:name>/<string:column>")
@api_bp.output(ColumnInfoDto)
def get_column_info(name: str, column: str):
return service.get_column_info(name, column)
@api_bp.get("/dataset/draw/hist/<string:name>/<string:column>")
@api_bp.output(
FileSchema(type="string", format="binary"), content_type="image/png", example=""
)
def get_dataset_hist(name: str, column: str):
data = service.get_hist(name, column)
data.seek(0)
return send_file(data, download_name=f"{name}.hist.png", mimetype="image/png")