Mercurial > public > finance-parser

annotate process_document/app.py @ 3:2e5f3664f3e4

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
documents analyzer almost finished
author Dennis C. M. <dennis@denniscm.com>
date Fri, 02 Jun 2023 20:12:29 +0100
parents ef8a4d95755a
children 9005b7590008
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1 import json
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2 import boto3
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3 from datetime import datetime
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4 from collections import defaultdict
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5
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6
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7 s3_client = boto3.client('s3')
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8
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9
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10 def lambda_handler(event, context):
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11 event_message = event['body']['message']
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12 object_key = event_message['objectKey']
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13 bucket_name = event_message['bucketName']
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14
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15 # Download file from s3
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16 s3_client.download_file(bucket_name, object_key, '/tmp/document.json')
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18 with open('/tmp/document.json') as f:
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19 doc = json.load(f)
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20
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21 # Analyze document
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22 result = defaultdict(dict)
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23 blocks = doc['Blocks']
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24
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25 # Get format
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26 lines = filter_blocks(blocks, 'BlockType', 'LINE')
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27 for line in lines:
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28 amount_format = get_format(line['Text'])
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29 result['format'] = amount_format
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30 if amount_format:
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31 break
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33 # Find dates value and position
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34 data = defaultdict(dict)
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35 cells = filter_blocks(blocks, 'BlockType', 'CELL')
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36 for cell in cells:
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37 if not 'Relationships' in cell:
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38 continue
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39
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40 child_ids = [r['Ids'] for r in cell['Relationships'] if r['Type'] == 'CHILD'][0]
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41
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42 # Get `Text` from `CELL` block
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43 cell_text = ''
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44 for index, child_id in enumerate(child_ids):
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45 word_block = filter_blocks(blocks, 'Id', child_id)[0]
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46 cell_text += word_block['Text']
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47
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48 if index < len(child_ids) - 1:
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49 cell_text += '_'
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51 # Verify if `Text` could be a valid date
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52 date_string = is_date(cell_text)
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53 if date_string:
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54 cell_text = date_string
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55 result['dateRow'] = cell['RowIndex']
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56 result['dateColumns'][cell['ColumnIndex']] = date_string
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57
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58 cell_row_index = cell['RowIndex']
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59 cell_column_index = cell['ColumnIndex']
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60 data[cell_row_index][cell_column_index] = clean(cell_text)
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61
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62 try:
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63 data[cell_row_index]['type'] = cell['EntityTypes']
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64 except KeyError:
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65 pass
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66
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67 # Delete unused row and columns
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68 for row_index in list(data.keys()):
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69 row = data[row_index]
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70 for column_index in list(row.keys()):
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71 if column_index not in result['dateColumns'] \
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72 and column_index != 1 and column_index != 'type':
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73 del row[column_index]
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75 if len(row) > 1:
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76 result['data'][row_index] = row
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77
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78 filename = object_key.replace('analyzed/', 'processed/')
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79 data_string = json.dumps(result, indent=2, default=str)
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80
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81 s3_client.put_object(
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82 Bucket=bucket_name,
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83 Key=filename,
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84 Body=data_string
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85 )
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86
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87 return {
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88 "statusCode": 200,
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89 "body": {
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90 "message": {
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91 "objectKey": filename,
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92 "bucketName": bucket_name
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93 }
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94 },
2
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95 }
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96
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97
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98 def filter_blocks(blocks, block_key, block_value):
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99 """
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100 Extract a block by key-value from array of blocks
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101 """
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102
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103 return [block for block in blocks if block[block_key] == block_value]
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104
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105
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106 def is_date(string_date):
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107 """
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108 Verify if a string could be a date.
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109
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110 -> Funciona pero es un desastre <-
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111 """
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112
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113 formats_allowed = ['%d-%m-%Y', '%d_%m_%Y', '%d/%m/%Y', '%d.%m.%Y', '%Y']
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114
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115 for format_allowed in formats_allowed:
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116 try:
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117 date = datetime.strptime(string_date, format_allowed)
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118
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119 if date.year > datetime.now().year or date.year < 1900:
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120 return # Fecha fuera de rango
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121
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122 return date.strftime("%Y")
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123 except ValueError:
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124
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125 # Try removing characters from the beginning and end
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126 options = [string_date[:-1], string_date[1:], string_date[1:-1]]
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127 for option in options:
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128 try:
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129 date = datetime.strptime(option, format_allowed)
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130
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131 if date.year > datetime.now().year or date.year < 1900:
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132 return # Fecha fuera de rango
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133
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134 return date.strftime("%Y")
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135 except ValueError:
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136 continue
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137
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138 return
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139
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140
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141 def get_format(phrase):
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142 """
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143 Given a phrase verify if it is specified the amount format
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144 """
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145
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146 amount_formats = ['thousand', 'million', 'billion']
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147
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148 for amount_format in amount_formats:
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parents:
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149 plural_amount_format = f'{amount_format}s'
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150
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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151 if amount_format in phrase or plural_amount_format in phrase:
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152 return amount_format
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
parents:
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153
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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154
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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155 def clean(text):
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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156 """"
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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157 Remove bad characters from word
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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158 """
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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159
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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160 characters = ['.', ',', '-', ' ']
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
parents:
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161
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
parents:
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162 for character in characters:
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
parents:
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163 text = text.replace(character, '')
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
parents:
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164
ef8a4d95755a add aws sam project
Dennis C. M. <dennis@denniscm.com>
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165 return text.lower()