92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
from fastapi import FastAPI, HTTPException
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from models import Genre, Song, GoogleFile
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import gspread
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from types import MethodType
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from typing import Any
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import pandas as pd
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import numpy as np
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import sqlalchemy
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app = FastAPI()
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dbEngine = sqlalchemy.create_engine('sqlite:///db.sqlite')
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gc = gspread.service_account(filename="service_account.json") # type: ignore
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google_files: dict[str, GoogleFile] = {}
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spreadsheets: dict[str, gspread.Spreadsheet] = {} # type: ignore
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selected_worksheets: dict[tuple[str, int], bool] = {}
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def fetch_files():
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if not(google_files):
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for s in gc.http_client.request("get", gspread.http_client.DRIVE_FILES_API_V3_URL).json()["files"]: # type: ignore
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google_files[s["id"]] = GoogleFile(file_id = s["id"], file_name = s["name"])
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def load_spreadsheet(file_id):
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if file_id not in spreadsheets:
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spreadsheets[file_id] = gc.open_by_key(file_id)
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@app.get("/")
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def root():
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return {"message": "Hello World"}
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# Route to get google files (sheets)
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@app.get("/admin/files")
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def get_files() -> dict[str, GoogleFile]:
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fetch_files()
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return google_files
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@app.get("/admin/files/{file_id}")
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def get_worksheets(file_id: str) -> dict[int, str]:
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fetch_files()
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if file_id not in google_files:
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raise HTTPException(status_code=404, detail="Spreadsheet not found.")
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load_spreadsheet(file_id)
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return {ws.id : ws.title for ws in spreadsheets[file_id].worksheets()} # type: ignore
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@app.get("/admin/selected_worksheets")
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def list_selected_worksheet() -> dict[tuple[str, int], bool]:
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return selected_worksheets
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@app.post("/admin/selected_worksheets")
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def select_worksheet(file_id: str, worksheet_id: int, ignore_arrangement: bool = False):
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selected_worksheets[(file_id, worksheet_id)] = ignore_arrangement
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@app.delete("/admin/selected_worksheets")
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def deselect_worksheet(file_id: str, worksheet_id: int):
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del selected_worksheets[(file_id, worksheet_id)]
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@app.post("/admin/process_worksheets")
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def process_worksheets():
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fetch_files()
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song_list = []
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for (file_id, worksheet_id), ignore_arrangement in selected_worksheets.items():
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load_spreadsheet(file_id)
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worksheet = spreadsheets[file_id].get_worksheet_by_id(worksheet_id)
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worksheet_df = pd.DataFrame(worksheet.get_all_records())
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last_column = np.where(worksheet_df.columns == "Kommentare")[0][0]
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worksheet_df = worksheet_df.iloc[:, 0:last_column+1]
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worksheet_df["Ignore Arrangement"] = ignore_arrangement
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song_list.append(worksheet_df)
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song_list = pd.concat(song_list)
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song_list.to_sql(name = 'songs', con = dbEngine, index = False, if_exists = 'append')
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# song_list.to_csv("song-list.csv")
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# 1PMy17eraogNUz436w3aZKxyij39G1didaN02Ka_-45Q
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# 71046222 |