feat(events): add hashed customer_email and feature_metadata

[tsdk02]

Type of Change

• Bugfix
• New feature
• Enhancement
• Refactoring
• Dependency updates
• Documentation
• CI/CD

Description

• Implemented hashing of customer_email using blake3::hash, and added this to PaymentIntent kafka events
• Enabled search using customer_email filter in dashboard globalsearch as well
• Added feature_metadata with search_tags for dashboard globalsearch

Additional Changes

• This PR modifies the API contract
• This PR modifies the database schema
• This PR modifies application configuration/environment variables

Motivation and Context

Hashing of customer_email helps in masking of data to help protect privacy

How did you test it?

Tested it using Postman curls:

• Made a payment with the customer_email and search_tags in feature_metadata set

curl --location 'http://localhost:8080/payments' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json' \
--header 'api-key: dev_IG9ateOUhGE0KLFEItNN1tsJXcr5M62N7zlbtOlUtStTfPpzSomswbQa4aO2k1B4' \
--data-raw '{
  "amount": 6540,
  "currency": "INR",
  "confirm": true,
  "capture_method": "automatic",
  "capture_on": "2022-09-10T10:11:12Z",
  "amount_to_capture": 6540,
  "customer_id": "StripeCustomer",
  "email": "[email protected]",
  "name": "John Doe",
  "phone": "999999999",
  "phone_country_code": "+1",
  "description": "Its my first payment request",
  "authentication_type": "no_three_ds",
  "return_url": "https://google.com",
  "payment_method": "card",
  "payment_method_type": "credit",
  "payment_method_data": {
    "card": {
      "card_number": "4242424242424242",
      "card_exp_month": "10",
      "card_exp_year": "25",
      "card_holder_name": "joseph Doe",
      "card_cvc": "123"
    }
  },
  "billing": {
    "address": {
      "line1": "1467",
      "line2": "Harrison Street",
      "line3": "Harrison Street",
      "city": "San Fransico",
      "state": "California",
      "zip": "94122",
      "country": "US",
      "first_name": "joseph",
      "last_name": "Doe"
    },
    "phone": {
      "number": "8056594427",
      "country_code": "+91"
    }
  },
  "shipping": {
    "address": {
      "line1": "1467",
      "line2": "Harrison Street",
      "line3": "Harrison Street",
      "city": "San Fransico",
      "state": "California",
      "zip": "94122",
      "country": "US",
      "first_name": "joseph",
      "last_name": "Doe"
    },
    "phone": {
      "number": "8056594427",
      "country_code": "+91"
    }
  },
  "statement_descriptor_name": "joseph",
  "statement_descriptor_suffix": "JS",
  "feature_metadata": {
    "search_tags": ["dubai", "tokyo"]
  },
  "metadata": {
    "data2": "camel",
    "new_customer": "true",
    "login_date": "2019-09-10T10:11:12Z"
  }
}'

• Hit the analytics/v1/search with the following curl:

curl --location 'http://localhost:8080/analytics/v1/search' \
--header 'Accept: */*' \
--header 'Accept-Language: en-US,en;q=0.9' \
--header 'Connection: keep-alive' \
--header 'Content-Type: application/json' \
--header 'Origin: http://localhost:9000' \
--header 'Referer: http://localhost:9000/' \
--header 'Sec-Fetch-Dest: empty' \
--header 'Sec-Fetch-Mode: cors' \
--header 'Sec-Fetch-Site: same-site' \
--header 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36' \
--header 'api-key: hyperswitch' \
--header 'authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJ1c2VyX2lkIjoiNGU2ZWVhYzEtMWVjNi00ZWQyLWJhY2YtMDUzOTFiZGE3YjI1IiwibWVyY2hhbnRfaWQiOiJtZXJjaGFudF8xNzE5OTA0MzA1Iiwicm9sZV9pZCI6Im9yZ19hZG1pbiIsImV4cCI6MTcyMDI3MTg0NSwib3JnX2lkIjoib3JnX0c4Zk85a09UTXl1OHBXUEVQSUcwIn0.2Pdjr1w82ImWbccLcAthHzJ8LU959xSHRZ5PrJCFtoE' \
--header 'sec-ch-ua: "Not/A)Brand";v="8", "Chromium";v="126", "Google Chrome";v="126"' \
--header 'sec-ch-ua-mobile: ?0' \
--header 'sec-ch-ua-platform: "macOS"' \
--data-raw '{
    "query": "merchant_1719904305",
    "filters": {
        "currency": [
            "INR"
        ],
        "customer_email": [
            "[email protected]"
        ]
    }
}'

You should be able to get the results in the payment_intents index

Checklist

• I formatted the code cargo +nightly fmt --all
• I addressed lints thrown by cargo clippy
• I reviewed the submitted code
• I added unit tests for my changes where possible