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import webbrowser, os
import json
import boto3
import io
import time
from io import BytesIO
import sys
from pprint import pprint
from urlparse import urlparse
# get the results
client = boto3.client(
service_name='textract',
region_name='us-east-1',
endpoint_url='https://textract.us-east-1.amazonaws.com',
)
def get_rows_columns_map(table_result, blocks_map):
rows = {}
for relationship in table_result['Relationships']:
if relationship['Type'] == 'CHILD':
for child_id in relationship['Ids']:
cell = blocks_map[child_id]
if cell['BlockType'] == 'CELL':
row_index = cell['RowIndex']
col_index = cell['ColumnIndex']
if row_index not in rows:
# create new row
rows[row_index] = {}
# get the text value
rows[row_index][col_index] = get_text(cell, blocks_map)
return rows
def get_text(result, blocks_map):
text = ''
if 'Relationships' in result:
for relationship in result['Relationships']:
if relationship['Type'] == 'CHILD':
for child_id in relationship['Ids']:
word = blocks_map[child_id]
if word['BlockType'] == 'WORD':
text += word['Text'] + ' '
return text
def get_table_csv_results(bucket,key):
response = client.start_document_text_detection(DocumentLocation={"S3Object": {
"Bucket": bucket,
"Name": key }})
jobid=response['JobId']
job_response = client.get_document_text_detection(JobId=jobid)
while job_response['JobStatus'] == 'IN_PROGRESS':
time.sleep(15)
job_response = client.get_document_text_detection(JobId=jobid)
if job_response['JobStatus'] == 'SUCCEEDED' or job_response['JobStatus'] == 'PARTIAL_SUCCESS':
blocks = job_response['Blocks']
else:
raise exception
table_blocks = []
blocks_map = {}
for block in blocks:
blocks_map[block['Id']] = block
if block['BlockType'] == "LINE":
#pprint(block)
table_blocks.append(block)
if len(table_blocks) <= 0:
return "<b> NO Table FOUND </b>"
csv = ''
for index, table in enumerate(table_blocks):
csv += generate_table_csv_2(table, blocks_map, index + 1)
csv += '\n\n'
return csv
def generate_table_csv(table_result, blocks_map, table_index):
rows = get_rows_columns_map(table_result, blocks_map)
table_id = 'Table_' + str(table_index)
# get cells.
csv = 'Table: {0}\n\n'.format(table_id)
for row_index, cols in rows.items():
for col_index, text in cols.items():
csv += '{}'.format(text) + ","
csv += '\n'
csv += '\n\n\n'
return csv
def generate_table_csv_2(table_result, blocks_map, table_index):
table_id = 'Line_' + str(table_index)
# get cells.
csv = 'Line: {0}\n\n'.format(table_id)
#pprint(table_result['Text'])
csv = table_result['Text']
return csv
def main(args):
input_loc = args[1]
output_loc = args[2]
if (input_loc[len(input_loc)-1] == '/'):
input_loc = input_loc[:-1]
if (output_loc[len(output_loc)-1] == '/'):
output_loc = output_loc[:-1]
input_url = urlparse(input_loc)
output_url = urlparse(output_loc)
bucket = input_url.netloc
key = input_url.path[1:]
print(key)
s3 = boto3.client('s3')
response = s3.list_objects(Bucket=bucket, Prefix=key)
for content in response['Contents']:
if (content['Size'] > 0):
print(content['Key'])
file_name = content['Key']
csv_content = get_table_csv_results(bucket,file_name)
csv_file = os.path.basename(file_name)
output_file = '{}.csv'.format(csv_file)
# replace content
body = bytes(csv_content)
resp = s3.put_object(Bucket=output_url.netloc,
Key="{}/{}".format(output_url.path[1:],output_file),
Body=body)
time.sleep(5)
if __name__ == "__main__":
main(sys.argv)