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annotate upload_document/app.py @ 4:9005b7590008

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state machine working
author Dennis C. M. <dennis@denniscm.com>
date Mon, 05 Jun 2023 10:13:43 +0100
parents 2e5f3664f3e4
children d15ccf5f1373
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1 import json
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2 import boto3
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5 s3_client = boto3.client('s3')
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6 dynamodb = boto3.resource('dynamodb')
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7 table = dynamodb.Table('FinanceParser')
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9
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10 def lambda_handler(event, context):
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11 event_msg = event['body']['message']
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13 # Download file from s3
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14 s3_client.download_file(
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15 event_msg['bucketName'],
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16 event_msg['objectKey'],
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17 '/tmp/document.json'
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18 )
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20 with open('/tmp/document.json') as f:
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21 doc = json.load(f)
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23 for dateColumn, date in doc['dateColumns'].items():
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24 for row_index, account in doc['data'].items():
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25
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26 try:
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27 column_types = account['type']
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28 except KeyError:
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29 column_types = []
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31 """
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32 Given:
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33 +------------------+------+------+
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34 | ASSETS | 2020 | 2019 |
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35 +------------------+------+------+
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36 | ASSETS_ACCOUNT_1 | | |
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37 +------------------+------+------+
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38 | ASSETS_ACCOUNT_2 | | |
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39 +------------------+------+------+
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41 The following statement avoids getting `2020` as the value of `ASSETS`.
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42 """
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43
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44 account_value = account[dateColumn]
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45 if 'COLUMN_HEADER' in column_types and date == account_value:
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46 account_value = ''
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47
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48 with table.batch_writer() as batch:
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49
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50 # pk -> item_type#company_ticker
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51 # sk -> date#row_index
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52
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53 batch.put_item(
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54 Item={
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55 'pk': f"balance#{event_msg['companyTicker']}",
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56 'sk': f'{date}#{row_index}',
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57 'account_name': account['1'],
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58 'account_value': account_value,
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59 'column_types': column_types
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60 }
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61 )
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63 # pk -> item_type#company_ticker
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64 # sk -> date#filename
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66 table.put_item(
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67 Item={
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68 'pk': f"file#{event_msg['companyTicker']}",
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69 'sk': f"{date}#{event_msg['objectKey'].replace('processed/', '')}"
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70 }
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71 )
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73 return {
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74 "statusCode": 200,
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75 "body": json.dumps({
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76 "message": "ok"
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77 }),
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78 }