recopytex/recopytex/database/filesystem/lib.py

53 lines
1.4 KiB
Python

#!/usr/bin/env python
# encoding: utf-8
import pandas as pd
from pathlib import Path
from unidecode import unidecode
__all__ = ["list_csvs", "extract_fields"]
def list_csvs(path):
"""list csv files in path
:example:
>>> list_csvs("./example/Tribe1/")
[PosixPath('example/Tribe1/210112_DS.csv'), PosixPath('example/Tribe1/210122_DS6.csv')]
>>> list_csvs("./example/Tribe1")
[PosixPath('example/Tribe1/210112_DS.csv'), PosixPath('example/Tribe1/210122_DS6.csv')]
"""
return list(Path(path).glob("*.csv"))
def extract_fields(csv_filename, fields=[], remove_duplicates=True):
"""Extract fields in csv
:param csv_filename: csv filename (with header)
:param fields: list of fields to extract (all fields if empty list - default)
:param remove_duplicates: keep uniques rows (default True)
:example:
>>> extract_fields("./example/Tribe1/210122_DS6.csv", ["Trimestre", "Nom", "Date"])
Trimestre Nom Date
0 1 DS6 22/01/2021
"""
df = pd.read_csv(csv_filename)
if fields:
df = df[fields]
if remove_duplicates:
return df.drop_duplicates()
return df
def build_id(template, element):
"""Build an id from template to the element
:example:
>>> element = {"name": "pléà", "place": "here", "foo":"bar"}
>>> build_id("{name} {place}", element)
'plea_here'
"""
return unidecode(template.format(**element)).replace(" ", "_")