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from flask import Flask, make_response, request, render_template, jsonify
from flask_dynamo import Dynamo
from flask_bootstrap import Bootstrap
from flask import Markup
import flask
import io
import csv
import pandas as pd
import numpy as np
import os
from flask import send_file
import boto3
from boto3.dynamodb.conditions import Key, Attr
from match import guess_match as gm
dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
table = dynamodb.Table('users')
def print_head(df):
"""converts pandas 'head' to html; returns html"""
head = df.head().to_html()
return Markup(head)
def add_to_db(df):
recs = df.to_dict('records')
for rec in recs:
table.put_item(Item = rec)
print('all items added to db')
return None
def query_from_db(k, v):
response = table.scan(
FilterExpression=Attr(k).eq(v)
)
response_dict_lst = response['Items']
top = '<table class="table table-hover"> <thead> <tr>'
col = '<th scope="col">{}</th>'
end_head = '</tr> </thead> <tbody>'
row_begin = '<tr>'
row = '<td>{}</td>'
row_end = '</tr>'
bottom = '</tbody></table>'
cols = ""
middle = ""
for field, value in response_dict_lst[0].items():
cols += col.format(field)
for obj in response_dict_lst:
middle += row_begin
for k, v in obj.items():
middle += row.format(v)
middle += row_end
the_table = top+cols+end_head+middle+bottom
print('the_table:', the_table)
return the_table
def which_fields_matched(df):
result_from_match_py = gm(df)
# result_from_match_py = {'db_email': 'e-mail', 'db_first': 'first_name', 'db_last': 'last_name', 'db_state': 'us_state'}
new_selected_lst = []
selected_lst = ['db_first', 'db_last', 'db_state', 'db_email']
for x in selected_lst:
new_selected_lst.append(result_from_match_py[x])
return new_selected_lst
app = Flask(__name__)
@app.route('/find_users', methods=["POST"])
def find_users():
print('find_users called')
for k, v in request.form.items():
query_key = k
query_value = v
print('k:', k)
print('v:', v)
result_obj = query_from_db(query_key, query_value)
print('this is the result_obj: ', result_obj)
return flask.jsonify(query_result = result_obj)
@app.route('/')
def index():
return flask.render_template('index.html')
@app.route('/uploadcsv', methods=["POST"])
def uploadcsv():
print('type (request)', type (request.files['data_file']))
f = request.files['data_file']
if not f:
return "No file"
df = pd.read_csv(f)
print('df.head(): ', df.head())
df.to_csv('../data/df.csv', index=False)
initial_head = print_head(df)
columns = list(df.columns)
row_one = df.iloc[0]
matched_fields = which_fields_matched(df)
print('matched_fields', matched_fields)
# ex_and_match_select = [row_one, matched_fields]
cols_examples = dict(zip(columns, row_one))
for k, v in cols_examples.items():
if k in matched_fields:
blanks = ['', '', '', '']
blanks[matched_fields.index(k)] = 'selected'
print('blanks:', blanks)
cols_examples[k] = v, [blanks, 'active']
blanks = ['', '', '', '']
else:
cols_examples[k] = v, [blanks, '']
# match_selected = which_selected()
# print('match_selected', match_selected)
# ex_and_match_select = [row_one, match_selected]
# cols_examples = dict(zip(columns, ex_and_match_select))
print('cols_examples:', cols_examples)
return flask.render_template(
'upload.html',
firsthead = initial_head,
cols_examples = cols_examples
)
@app.route('/demo', methods=["GET"])
def demo():
f = '../data/member_list.csv'
if not f:
return "No file"
df = pd.read_csv(f)
print('df.head(): ', df.head())
df.to_csv('../data/df.csv', index=False)
initial_head = print_head(df)
columns = list(df.columns)
row_one = df.iloc[0]
matched_fields = which_fields_matched(df)
print('matched_fields', matched_fields)
# ex_and_match_select = [row_one, matched_fields]
cols_examples = dict(zip(columns, row_one))
for k, v in cols_examples.items():
if k in matched_fields:
blanks = ['', '', '', '']
blanks[matched_fields.index(k)] = 'selected'
print('blanks:', blanks)
cols_examples[k] = v, [blanks, 'active']
blanks = ['', '', '', '']
else:
cols_examples[k] = v, [blanks, '']
# cols_examples = dict(zip(columns, row_one))
print('cols_examples:', cols_examples)
print('columns: ', columns)
return flask.render_template(
'upload.html',
firsthead = initial_head,
cols_examples = cols_examples
)
@app.route('/match_cols', methods=["POST", "GET"])
def match_cols():
if request.method == 'POST':
df = pd.read_csv('../data/df.csv')
db_fields = ['db_first', 'db_last', 'db_state', 'db_email']
cols_to_keep = []
all_cols = list(df.columns)
field_match_dict = {}
form_results = request.form
print('input from form (match cols): ', form_results)
orgUserId = form_results['orguserid']
for k, v in form_results.items():
if v in db_fields:
field_match_dict[k] = v
cols_to_keep.append(k)
print('cols_to_keep: ', cols_to_keep)
cols_to_drop = set(all_cols) - set(cols_to_keep)
print('cols_to_drop:', cols_to_drop)
df_reduced_cols = df.drop(cols_to_drop, axis=1)
for old, new in field_match_dict.items():
df_reduced_cols.rename(columns={old: new}, inplace=True)
if set(db_fields) != set(df_reduced_cols.columns):
head_new_csv = Markup('<script type="text/javascript">alert ("Fields are not correctly matched - please try again")</script>')
else:
df_reduced_cols.insert(0, 'db_userid', [orgUserId+str(i) for i in range(0, len(df_reduced_cols))])
head_new_csv = print_head(df_reduced_cols)
df_reduced_cols.to_csv('../data/ready_to_import.csv')
print('head_new_csv: ', head_new_csv)
add_to_db(df_reduced_cols)
return flask.jsonify(matching_tbl = head_new_csv)
elif request.method=='GET':
return "This is a GET method"
else:
return("ok")
@app.route('/downloadcsv')
def downloadcsv():
return send_file('../data/ready_to_import.csv',
mimetype='text/csv',
attachment_filename='ready_to_import.csv',
as_attachment=True)
if __name__ == "__main__":
Bootstrap(app)
app.run(host='0.0.0.0', port=8080, debug=True, use_reloader=False)