├── .gitignore
├── LICENSE
├── README.md
├── conda.yaml
├── devdata
└── env.json
├── images
├── control-room-process-steps.png
├── control-room-vault.png
├── example-excel.png
├── example-pdf-invoice.png
├── example-run-artifacts-excel.png
└── example-run-artifacts.png
├── resources
├── InvoiceGenerator.py
├── InvoiceModeler.py
├── common.resource
└── invoices.resource
├── robot.yaml
└── tasks.robot
/.gitignore:
--------------------------------------------------------------------------------
1 | testrun/
2 | output/
3 | venv/
4 | temp/
5 | .rpa/
6 | .idea/
7 | .ipynb_checkpoints/
8 | .virtual_documents/
9 | */.ipynb_checkpoints/*
10 | .vscode
11 | .DS_Store
12 | *.pyc
13 | *.zip
14 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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/README.md:
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1 | # Process PDF invoices with Amazon Textract
2 |
3 | [PDF](https://en.wikipedia.org/wiki/PDF) - The most machine-readable document format ever! Right? 🙈
4 |
5 | > Extracting text from PDF files is not a simple operation. PDF was never meant to be a format to _read data from_: its purpose is to provide an accurate way of reproducing documents and make them portable to any system. - [How to read PDF files with RPA Framework](https://robocorp.com/docs/development-guide/pdf/how-to-read-pdf-files)!
6 |
7 | Still, it **is** possible to automatically read and extract invoice data from PDF documents and save the data to an [Excel](https://en.wikipedia.org/wiki/Microsoft_Excel) file. No more manual copy & pasting!
8 |
9 | This robot processes randomly generated PDF invoices with [Amazon Textract](https://aws.amazon.com/textract/) and saves the extracted invoice data in an Excel file.
10 |
11 | ## Example PDF invoice
12 |
13 |
14 |
15 | ## Example Excel
16 |
17 |
18 |
19 | ## Tasks
20 |
21 | The robot provides three tasks:
22 |
23 | - `Create Invoices`
24 | - `Process PDF invoices with Amazon Textract`
25 | - `Delete Files From Amazon S3 Bucket`
26 |
27 | ### Create Invoices
28 |
29 | - Generates random PDF invoices and uploads them to [Amazon S3](https://aws.amazon.com/s3/) bucket.
30 | - Saves the generated PDF invoices to the output directory for debugging purposes.
31 |
32 |
33 |
34 | ### Process PDF invoices with Amazon Textract
35 |
36 | - Reads the invoices from the Amazon S3 bucket.
37 | - Processes the invoices with Amazon Textract.
38 | - Saves the extracted invoice data in an Excel file in the output directory.
39 | - Finally, deletes the PDF invoices from the Amazon S3 bucket.
40 |
41 |
42 |
43 | ### Delete Files From Amazon S3 Bucket
44 |
45 | - A utility task for deleting the PDF invoices from the Amazon S3 bucket.
46 | - Can be executed separately when you want to empty the Amazon S3 bucket.
47 | - Called by the `Process PDF invoices with Amazon Textract` task in the teardown phase.
48 |
49 | ## Prerequisites
50 |
51 | ### Amazon API key and key ID with access to Amazon S3 and Amazon Textract
52 |
53 | The robot requires access to Amazon S3 and Amazon Textract services. It needs an API key, key ID, and the AWS region. Check out [Amazon Textract Developer Guide](https://docs.aws.amazon.com/textract/latest/dg/what-is.html)!
54 |
55 | ### Store the API key, key ID, and the AWS region in Robocorp Vault
56 |
57 | Set up [Robocorp Vault](https://robocorp.com/docs/development-guide/variables-and-secrets/vault) either locally or in [Control Room](https://robocorp.com/docs/control-room).
58 |
59 | For a local run, use the following configuration:
60 |
61 | `/Users/username/vault.json`:
62 |
63 | ```json
64 | {
65 | "aws": {
66 | "AWS_KEY": "aws-key",
67 | "AWS_KEY_ID": "aws-key-id",
68 | "AWS_REGION": "us-east-1"
69 | }
70 | }
71 | ```
72 |
73 | `devdata/env.json`:
74 |
75 | ```json
76 | {
77 | "RPA_SECRET_MANAGER": "RPA.Robocorp.Vault.FileSecrets",
78 | "RPA_SECRET_FILE": "/Users/username/vault.json"
79 | }
80 | ```
81 |
82 | For Control Room run, create a new vault entry in Control Room.
83 |
84 | - Enter `aws` as the name.
85 | - Provide values for the `AWS_KEY`, `AWS_KEY_ID`, and `AWS_REGION` keys:
86 |
87 |
88 |
89 | ## Running
90 |
91 | 1. Run the `Create Invoices` task to create the PDF invoices.
92 |
93 | 2. Run the `Process PDF invoices with Amazon Textract` task to process the PDF invoices and to generate the Excel file with the data extracted from the invoices.
94 |
95 | Optional: Run the `Delete Files From Amazon S3 Bucket` task if you want to delete the PDF invoices from the Amazon S3 bucket (the `Process PDF invoices with Amazon Textract` task does this automatically in the teardown phase).
96 |
97 | When running in Control Room, add the `Create Invoices` and `Process PDF invoices with Amazon Textract` as process steps:
98 |
99 |
100 |
101 | ## Further reading
102 |
103 | - [Handling PDF files](https://robocorp.com/docs/development-guide/pdf)
104 | - [How to read PDF files with RPA Framework](https://robocorp.com/docs/development-guide/pdf/how-to-read-pdf-files)
105 | - [What is Amazon Textract?](https://docs.aws.amazon.com/textract/latest/dg/what-is.html)
106 | - [Cloud machine learning (ML) APIs example robot](https://robocorp.com/docs/development-guide/ai-machine-learning/cloud-machine-learning-apis)
107 | - [RPA.Cloud.AWS library](https://robocorp.com/docs/libraries/rpa-framework/rpa-cloud-aws)
108 |
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/conda.yaml:
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1 | channels:
2 | - conda-forge
3 |
4 | dependencies:
5 | - python=3.7.5
6 | - faker=13.11.1
7 | - pip=20.1
8 | - pip:
9 | - rpaframework==14.1.1 # https://rpaframework.org/releasenotes.html
10 | - rpaframework-aws==2.0.1
11 |
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/devdata/env.json:
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1 | {
2 | "RPA_SECRET_MANAGER": "RPA.Robocorp.Vault.FileSecrets",
3 | "RPA_SECRET_FILE": "/Users/username/vault.json"
4 | }
5 |
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/resources/InvoiceGenerator.py:
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1 | from datetime import datetime, timedelta
2 | from faker import Faker
3 |
4 | import json
5 | import pytz
6 | import requests
7 | import random
8 |
9 |
10 | class InvoiceGeneratorClass:
11 | """ API Object for Invoice-Generator tool - https://invoice-generator.com/ """
12 |
13 | URL = "https://invoice-generator.com"
14 | DATE_FORMAT = "%d %b %Y"
15 | LOCALE = "en_US"
16 | TIMEZONE = "Europe/Paris"
17 | # Below are the default template parameters that can be changed (see https://github.com/Invoiced/invoice-generator-api/)
18 | TEMPLATE_PARAMETERS = [
19 | "header",
20 | "to_title",
21 | "ship_to_title",
22 | "invoice_number_title",
23 | "date_title",
24 | "payment_terms_title",
25 | "due_date_title",
26 | "purchase_order_title",
27 | "quantity_header",
28 | "item_header",
29 | "unit_cost_header",
30 | "amount_header",
31 | "subtotal_title",
32 | "discounts_title",
33 | "tax_title",
34 | "shipping_title",
35 | "total_title",
36 | "amount_paid_title",
37 | "balance_title",
38 | "terms_title",
39 | "notes_title",
40 | ]
41 |
42 | def __init__(
43 | self,
44 | sender,
45 | to,
46 | logo=None,
47 | ship_to=None,
48 | number=None,
49 | payments_terms=None,
50 | due_date=None,
51 | notes=None,
52 | terms=None,
53 | currency="USD",
54 | date=datetime.now(tz=pytz.timezone(TIMEZONE)),
55 | discounts=0,
56 | tax=0,
57 | shipping=0,
58 | amount_paid=0,
59 | ):
60 | """ Object constructor """
61 | self.logo = logo
62 | self.sender = sender
63 | self.to = to
64 | self.ship_to = ship_to
65 | self.number = number
66 | self.currency = currency
67 | self.custom_fields = []
68 | self.date = date
69 | self.payment_terms = payments_terms
70 | self.due_date = due_date
71 | self.items = []
72 | self.fields = {"tax": "%", "discounts": False, "shipping": False}
73 | self.discounts = discounts
74 | self.tax = tax
75 | self.shipping = shipping
76 | self.amount_paid = amount_paid
77 | self.notes = notes
78 | self.terms = terms
79 | self.template = {}
80 | self.base_order_number = random.randint(30000, 90000)
81 |
82 | def _to_json(self):
83 | """
84 | Parsing the object as JSON string
85 | Please note we need also to replace the key sender to from, as per expected in the API but incompatible with from keyword inherent to Python
86 | We are formatting here the correct dates
87 | We are also resetting the two list of Objects items and custom_fields so that it can be JSON serializable
88 | Finally, we are handling template customization with its dict
89 | """
90 | object_dict = self.__dict__
91 | object_dict.pop("base_order_number")
92 | object_dict["from"] = object_dict.get("sender")
93 | object_dict["date"] = self.date.strftime(
94 | InvoiceGeneratorClass.DATE_FORMAT)
95 | if object_dict["due_date"] is not None:
96 | object_dict["due_date"] = self.due_date.strftime(
97 | InvoiceGeneratorClass.DATE_FORMAT
98 | )
99 | object_dict.pop("sender")
100 | for index, item in enumerate(object_dict["items"]):
101 | object_dict["items"][index] = item.__dict__
102 | for template_parameter, value in self.template.items():
103 | object_dict[template_parameter] = value
104 | object_dict.pop("template")
105 | return json.dumps(object_dict)
106 |
107 | def add_custom_field(self, name=None, value=None):
108 | """ Add a custom field to the invoice """
109 | self.custom_fields.append(CustomField(name=name, value=value))
110 |
111 | def add_item(self, name=None, quantity=0, unit_cost=0.0, description=None):
112 | """ Add item to the invoice """
113 | self.items.append(
114 | Item(
115 | name=name,
116 | quantity=quantity,
117 | unit_cost=unit_cost,
118 | description=description,
119 | )
120 | )
121 |
122 | def download(self, file_path):
123 | """ Directly send the request and store the file on path """
124 | json_string = self._to_json()
125 | response = requests.post(
126 | InvoiceGeneratorClass.URL,
127 | json=json.loads(json_string),
128 | stream=True,
129 | headers={"Accept-Language": InvoiceGeneratorClass.LOCALE},
130 | )
131 | if response.status_code == 200:
132 | open(file_path, "wb").write(response.content)
133 |
134 | def set_template_text(self, template_parameter, value):
135 | """ If you want to change a default value for customising your invoice template, call this method """
136 | if template_parameter in InvoiceGeneratorClass.TEMPLATE_PARAMETERS:
137 | self.template[template_parameter] = value
138 | else:
139 | raise ValueError(
140 | "The parameter {} is not a valid template parameter. See docs.".format(
141 | template_parameter
142 | )
143 | )
144 |
145 | def toggle_subtotal(self, tax="%", discounts=False, shipping=False):
146 | """ Toggle lines of subtotal """
147 | self.fields = {"tax": tax,
148 | "discounts": discounts, "shipping": shipping}
149 |
150 |
151 | class Item:
152 | """ Item object for an invoice """
153 |
154 | def __init__(self, name, quantity, unit_cost, description=""):
155 | """ Object constructor """
156 | self.name = name
157 | self.quantity = quantity
158 | self.unit_cost = unit_cost
159 | self.description = description
160 |
161 |
162 | class CustomField:
163 | """ Custom Field object for an invoice """
164 |
165 | def __init__(self, name, value):
166 | """ Object constructor """
167 | self.name = name
168 | self.value = value
169 |
170 |
171 | class InvoiceGenerator:
172 | def create_random_invoice(self, filename: str, order: int):
173 | faker = Faker()
174 | invoice_number = random.randint(1000, 9999)
175 | dynamic_date = random.randint(-7, 7)
176 | invoice_date = datetime.now() + timedelta(dynamic_date)
177 | due_date = datetime.now() + timedelta(dynamic_date + 7)
178 | invoice = InvoiceGeneratorClass(
179 | sender="Demo Company\nSuite 5A-1204\n123 Somewhere Street\nYour City AZ 12345\nadmin@invoices.com",
180 | to=f"To:\n{faker.company()} {faker.company_suffix()}\n{faker.address()}",
181 | logo="https://invoiced.com/img/logo-invoice.png",
182 | number=1,
183 | terms="Payment is due within 30 days from date of invoice. Late payment is subject to fees of 5% per month.",
184 | shipping=50,
185 | )
186 | invoice.add_item(
187 | name="Starter plan",
188 | quantity=random.randint(1, 50),
189 | unit_cost=99,
190 | )
191 | invoice.add_item(
192 | name="Fees",
193 | quantity=random.randint(1, 5),
194 | unit_cost=49,
195 | )
196 | order_number = str(invoice.base_order_number + order)
197 | invoice.custom_fields.append(
198 | {"name": "Invoice Number", "value": f"INV-{invoice_number}"}
199 | )
200 | invoice.custom_fields.append(
201 | {"name": "Order Number", "value": order_number})
202 | invoice.custom_fields.append(
203 | {"name": "Invoice Date",
204 | "value": invoice_date.strftime("%B %d, %Y")}
205 | )
206 | invoice.custom_fields.append(
207 | {"name": "Due Date", "value": due_date.strftime("%B %d, %Y")}
208 | )
209 | invoice.toggle_subtotal(shipping=True)
210 |
211 | invoice.template["quantity_header"] = "Hrs/Qty"
212 |
213 | ret = invoice.download(filename)
214 | print
215 | return filename, order_number
216 |
--------------------------------------------------------------------------------
/resources/InvoiceModeler.py:
--------------------------------------------------------------------------------
1 | import json
2 |
3 |
4 | class InvoiceModeler:
5 | def get_new_invoice(self):
6 | return {
7 | "invoice_number": "",
8 | "order_number": "",
9 | "invoice_date": "",
10 | "due_date": "",
11 | "balance_due": "",
12 | "from": "",
13 | "to": "",
14 | }
15 |
16 | def create_aws_invoice(self, fields):
17 | invoice = self.get_new_invoice()
18 | for field in fields:
19 | key = field.key.text.lower()
20 | val = field.value.text if field.value else ""
21 |
22 | if "invoice number" in key:
23 | invoice["invoice_number"] = val
24 | elif "order number" in key:
25 | invoice["order_number"] = val
26 | elif "invoice date" in key:
27 | invoice["invoice_date"] = val
28 | elif "due date" in key:
29 | invoice["due_date"] = val
30 | elif "balance due" in key or "total due" in key:
31 | invoice["balance_due"] = val.replace("$", "")
32 | elif "from:" in key:
33 | invoice["from"] = val
34 | elif key in ["bill to:", "to:"]:
35 | invoice["to"] = val
36 | return invoice
37 |
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/resources/common.resource:
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1 | *** Settings ***
2 | Library Collections
3 | Library RPA.Cloud.AWS
4 | Library RPA.Excel.Files
5 | Library RPA.Robocorp.Vault
6 | Library InvoiceGenerator
7 | Library InvoiceModeler
8 |
9 |
10 | *** Keywords ***
11 | Initialize Amazon Clients
12 | ${secret}= Get Secret aws
13 | Init Textract Client
14 | ... ${secret}[AWS_KEY_ID]
15 | ... ${secret}[AWS_KEY]
16 | ... ${secret}[AWS_REGION]
17 | Init S3 Client
18 | ... ${secret}[AWS_KEY_ID]
19 | ... ${secret}[AWS_KEY]
20 | ... ${secret}[AWS_REGION]
21 |
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/resources/invoices.resource:
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1 | *** Settings ***
2 | Resource common.resource
3 |
4 |
5 | *** Variables ***
6 | ${S3_BUCKET_NAME} example-amazon-textract-pdf-invoice-bucket
7 | ${NUMBER_OF_INVOICES} %{NUMBER_OF_INVOICES=10}
8 |
9 |
10 | *** Keywords ***
11 | Process PDF with Amazon Textract
12 | [Arguments] ${filename}
13 | ${job_id}= Start Document Analysis ${S3_BUCKET_NAME} ${filename}
14 | RETURN ${job_id}
15 |
16 | Wait For PDF Processing Results
17 | [Arguments] ${job_ids}
18 | ${invoices}= Create List
19 | ${responses}= Create List
20 | FOR ${i} IN RANGE 90
21 | ${jobs_length}= Get Length ${job_ids}
22 | IF ${jobs_length} == 0 BREAK
23 | ${jobs_queue}= Copy List ${job_ids}
24 | FOR ${job_id} IN @{jobs_queue}
25 | ${response}= Get Document Analysis ${job_id}
26 | IF "${response}[JobStatus]" == "SUCCEEDED"
27 | Remove Values From List ${job_ids} ${job_id}
28 | Append To List ${responses} ${response}
29 | END
30 | END
31 | Sleep 3s
32 | END
33 | FOR ${response} IN @{responses}
34 | ${model}= Convert Textract Response To Model ${response}
35 | ${invoice}= Set Variable ${NONE}
36 | FOR ${page} IN @{model.pages}
37 | IF ${page.form.fields}
38 | ${invoice}= Create AWS Invoice ${page.form.fields}
39 | Append To List ${invoices} ${invoice}
40 | END
41 | END
42 | END
43 | RETURN ${invoices}
44 |
45 | Save Invoices To Excel
46 | [Arguments] ${invoices}
47 | Create Workbook ${OUTPUT_DIR}${/}invoices.xlsx
48 | FOR ${invoice} IN @{invoices}
49 | &{row}= Create Dictionary
50 | ... To ${invoice}[to]
51 | ... Invoice Number ${invoice}[invoice_number]
52 | ... Order Number ${invoice}[order_number]
53 | ... Invoice Date ${invoice}[invoice_date]
54 | ... Due Date ${invoice}[due_date]
55 | ... Balance Due ${invoice}[balance_due]
56 | Append Rows to Worksheet ${row} header=True
57 | END
58 | Save Workbook
59 |
60 | Create PDF Invoice
61 | [Arguments] ${index}
62 | ${filename}= Set Variable invoice_${index}.pdf
63 | ${file_path}= Set Variable ${OUTPUT_DIR}${/}${filename}
64 | Create Random Invoice ${file_path} ${index}
65 | ${upload_status}= Upload File
66 | ... ${S3_BUCKET_NAME}
67 | ... ${file_path}
68 | ... ${filename}
69 |
70 | Create Invoices
71 | ${bucket_created}= Create Bucket ${S3_BUCKET_NAME}
72 | FOR ${index} IN RANGE 1 ${NUMBER_OF_INVOICES}+1
73 | Create PDF Invoice ${index}
74 | END
75 |
76 | Get File Keys From Amazon S3 Bucket
77 | ${files}= List Files ${S3_BUCKET_NAME}
78 | @{keys}= Create List
79 | FOR ${file} IN @{files}
80 | Append To List ${keys} ${file}[Key]
81 | END
82 | RETURN ${keys}
83 |
84 | Delete Files From Amazon S3 Bucket
85 | ${keys}= Get File Keys From Amazon S3 Bucket
86 | ${deleted}= Delete Files ${S3_BUCKET_NAME} ${keys}
87 |
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/robot.yaml:
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1 | tasks:
2 | Process PDF invoices with Amazon Textract:
3 | robotTaskName: Process PDF invoices with Amazon Textract
4 | Create Invoices:
5 | robotTaskName: Create Invoices
6 | Delete Files From Amazon S3 Bucket:
7 | robotTaskName: Delete Files From Amazon S3 Bucket
8 |
9 | condaConfigFile: conda.yaml
10 | artifactsDir: output
11 | PATH:
12 | - .
13 | PYTHONPATH:
14 | - .
15 | - resources
16 | ignoreFiles:
17 | - .gitignore
18 |
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/tasks.robot:
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1 | *** Settings ***
2 | Documentation Processes PDF invoices with Amazon Textract.
3 | ... Saves the extracted invoice data in an Excel file.
4 |
5 | Resource invoices.resource
6 |
7 |
8 | *** Tasks ***
9 | Process PDF invoices with Amazon Textract
10 | [Setup] Initialize Amazon Clients
11 | ${job_ids}= Create List
12 | ${filenames}= Get File Keys From Amazon S3 Bucket
13 | FOR ${filename} IN @{filenames}
14 | ${job_id}= Process PDF with Amazon Textract ${filename}
15 | Append To List ${job_ids} ${job_id}
16 | END
17 | ${invoices}= Wait For PDF Processing Results ${job_ids}
18 | Save Invoices To Excel ${invoices}
19 | [Teardown] Delete Files From Amazon S3 Bucket
20 |
21 | Create Invoices
22 | [Setup] Initialize Amazon Clients
23 | Create Invoices
24 |
25 | Delete Files From Amazon S3 Bucket
26 | [Setup] Initialize Amazon Clients
27 | Delete Files From Amazon S3 Bucket
28 |
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