(Chilkat2-Python) Square API - Batch Retrieve Catalog Objects

Returns a set of objects based on the provided ID.

For more information, see https://developer.squareup.com/reference/square/catalog-api/batch-retrieve-catalog-objects

Chilkat2 Python Downloads install with pip pip3 install chilkat2 or download... Python Module for Windows, Linux, Alpine Linux, MacOS, Solaris

import sys
import chilkat2

# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

http = chilkat2.Http()

# Implements the following CURL command:

# curl https://connect.squareup.com/v2/catalog/batch-retrieve \
#   -X POST \
#   -H 'Square-Version: 2020-07-22' \
#   -H 'Authorization: Bearer ACCESS_TOKEN' \
#   -H 'Content-Type: application/json' \
#   -d '{
#     "object_ids": [
#       "W62UWFY35CWMYGVWK6TWJDNI",
#       "AA27W3M2GGTF3H6AVPNB77CK"
#     ],
#     "include_related_objects": true
#   }'

# Use the following online tool to generate HTTP code from a CURL command
# Convert a cURL Command to HTTP Source Code

# Use this online tool to generate code from sample JSON:
# Generate Code to Create JSON

# The following JSON is sent in the request body.

# {
#   "object_ids": [
#     "W62UWFY35CWMYGVWK6TWJDNI",
#     "AA27W3M2GGTF3H6AVPNB77CK"
#   ],
#   "include_related_objects": true
# }

json = chilkat2.JsonObject()
i = 0
json.I = i
json.UpdateString("object_ids[i]","W62UWFY35CWMYGVWK6TWJDNI")
i = i + 1
json.I = i
json.UpdateString("object_ids[i]","AA27W3M2GGTF3H6AVPNB77CK")
json.UpdateBool("include_related_objects",True)

# Adds the "Authorization: Bearer ACCESS_TOKEN" header.
http.AuthToken = "ACCESS_TOKEN"
http.SetRequestHeader("Square-Version","2020-07-22")
http.SetRequestHeader("Content-Type","application/json")

# This example uses the sandbox: connect.squareupsandbox.com
# Production should use connect.squareup.com
# resp is a CkHttpResponse
resp = http.PostJson3("https://connect.squareupsandbox.com/v2/catalog/batch-retrieve","application/json",json)
if (http.LastMethodSuccess == False):
    print(http.LastErrorText)
    sys.exit()

sbResponseBody = chilkat2.StringBuilder()
resp.GetBodySb(sbResponseBody)
jResp = chilkat2.JsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = False

print("Response Body:")
print(jResp.Emit())

respStatusCode = resp.StatusCode
print("Response Status Code = " + str(respStatusCode))
if (respStatusCode >= 400):
    print("Response Header:")
    print(resp.Header)
    print("Failed.")

    sys.exit()

# Sample JSON response:
# (Sample code for parsing the JSON response is shown below)

# {
#   "objects": [
#     {
#       "type": "ITEM",
#       "id": "W62UWFY35CWMYGVWK6TWJDNI",
#       "updated_at": "2016-11-16T22:25:24.878Z",
#       "version": 1479335124878,
#       "is_deleted": false,
#       "present_at_all_locations": true,
#       "item_data": {
#         "name": "Tea",
#         "description": "Hot Leaf Juice",
#         "category_id": "BJNQCF2FJ6S6UIDT65ABHLRX",
#         "tax_ids": [
#           "HURXQOOAIC4IZSI2BEXQRYFY"
#         ],
#         "variations": [
#           {
#             "type": "ITEM_VARIATION",
#             "id": "2TZFAOHWGG7PAK2QEXWYPZSP",
#             "updated_at": "2016-11-16T22:25:24.878Z",
#             "version": 1479335124878,
#             "is_deleted": false,
#             "present_at_all_locations": true,
#             "item_variation_data": {
#               "item_id": "W62UWFY35CWMYGVWK6TWJDNI",
#               "name": "Mug",
#               "ordinal": 0,
#               "pricing_type": "FIXED_PRICING",
#               "price_money": {
#                 "amount": 150,
#                 "currency": "USD"
#               }
#             }
#           }
#         ]
#       }
#     },
#     {
#       "type": "ITEM",
#       "id": "AA27W3M2GGTF3H6AVPNB77CK",
#       "updated_at": "2016-11-16T22:25:24.878Z",
#       "version": 1479335124878,
#       "is_deleted": false,
#       "present_at_all_locations": true,
#       "item_data": {
#         "name": "Coffee",
#         "description": "Hot Bean Juice",
#         "category_id": "BJNQCF2FJ6S6UIDT65ABHLRX",
#         "tax_ids": [
#           "HURXQOOAIC4IZSI2BEXQRYFY"
#         ],
#         "variations": [
#           {
#             "type": "ITEM_VARIATION",
#             "id": "LBTYIHNHU52WOIHWT7SNRIYH",
#             "updated_at": "2016-11-16T22:25:24.878Z",
#             "version": 1479335124878,
#             "is_deleted": false,
#             "present_at_all_locations": true,
#             "item_variation_data": {
#               "item_id": "AA27W3M2GGTF3H6AVPNB77CK",
#               "name": "Regular",
#               "ordinal": 0,
#               "pricing_type": "FIXED_PRICING",
#               "price_money": {
#                 "amount": 250,
#                 "currency": "USD"
#               }
#             }
#           },
#           {
#             "type": "ITEM_VARIATION",
#             "id": "PKYIC7HGGKW5CYVSCVDEIMHY",
#             "updated_at": "2016-11-16T22:25:24.878Z",
#             "version": 1479335124878,
#             "is_deleted": false,
#             "present_at_all_locations": true,
#             "item_variation_data": {
#               "item_id": "AA27W3M2GGTF3H6AVPNB77CK",
#               "name": "Large",
#               "ordinal": 1,
#               "pricing_type": "FIXED_PRICING",
#               "price_money": {
#                 "amount": 350,
#                 "currency": "USD"
#               }
#             }
#           }
#         ]
#       }
#     }
#   ],
#   "related_objects": [
#     {
#       "type": "CATEGORY",
#       "id": "BJNQCF2FJ6S6UIDT65ABHLRX",
#       "updated_at": "2016-11-16T22:25:24.878Z",
#       "version": 1479335124878,
#       "is_deleted": false,
#       "present_at_all_locations": true,
#       "category_data": {
#         "name": "Beverages"
#       }
#     },
#     {
#       "type": "TAX",
#       "id": "HURXQOOAIC4IZSI2BEXQRYFY",
#       "updated_at": "2016-11-16T22:25:24.878Z",
#       "version": 1479335124878,
#       "is_deleted": false,
#       "present_at_all_locations": true,
#       "tax_data": {
#         "name": "Sales Tax",
#         "calculation_phase": "TAX_SUBTOTAL_PHASE",
#         "inclusion_type": "ADDITIVE",
#         "percentage": "5.0",
#         "enabled": true
#       }
#     }
#   ]
# }

# Sample code for parsing the JSON response...
# Use the following online tool to generate parsing code from sample JSON:
# Generate Parsing Code from JSON

i = 0
count_i = jResp.SizeOfArray("objects")
while i < count_i :
    jResp.I = i
    v_type = jResp.StringOf("objects[i].type")
    id = jResp.StringOf("objects[i].id")
    updated_at = jResp.StringOf("objects[i].updated_at")
    version = jResp.IntOf("objects[i].version")
    is_deleted = jResp.BoolOf("objects[i].is_deleted")
    present_at_all_locations = jResp.BoolOf("objects[i].present_at_all_locations")
    item_dataName = jResp.StringOf("objects[i].item_data.name")
    item_dataDescription = jResp.StringOf("objects[i].item_data.description")
    item_dataCategory_id = jResp.StringOf("objects[i].item_data.category_id")
    j = 0
    count_j = jResp.SizeOfArray("objects[i].item_data.tax_ids")
    while j < count_j :
        jResp.J = j
        strVal = jResp.StringOf("objects[i].item_data.tax_ids[j]")
        j = j + 1

    j = 0
    count_j = jResp.SizeOfArray("objects[i].item_data.variations")
    while j < count_j :
        jResp.J = j
        v_type = jResp.StringOf("objects[i].item_data.variations[j].type")
        id = jResp.StringOf("objects[i].item_data.variations[j].id")
        updated_at = jResp.StringOf("objects[i].item_data.variations[j].updated_at")
        version = jResp.IntOf("objects[i].item_data.variations[j].version")
        is_deleted = jResp.BoolOf("objects[i].item_data.variations[j].is_deleted")
        present_at_all_locations = jResp.BoolOf("objects[i].item_data.variations[j].present_at_all_locations")
        item_variation_dataItem_id = jResp.StringOf("objects[i].item_data.variations[j].item_variation_data.item_id")
        item_variation_dataName = jResp.StringOf("objects[i].item_data.variations[j].item_variation_data.name")
        item_variation_dataOrdinal = jResp.IntOf("objects[i].item_data.variations[j].item_variation_data.ordinal")
        item_variation_dataPricing_type = jResp.StringOf("objects[i].item_data.variations[j].item_variation_data.pricing_type")
        item_variation_dataPrice_moneyAmount = jResp.IntOf("objects[i].item_data.variations[j].item_variation_data.price_money.amount")
        item_variation_dataPrice_moneyCurrency = jResp.StringOf("objects[i].item_data.variations[j].item_variation_data.price_money.currency")
        j = j + 1

    i = i + 1

i = 0
count_i = jResp.SizeOfArray("related_objects")
while i < count_i :
    jResp.I = i
    v_type = jResp.StringOf("related_objects[i].type")
    id = jResp.StringOf("related_objects[i].id")
    updated_at = jResp.StringOf("related_objects[i].updated_at")
    version = jResp.IntOf("related_objects[i].version")
    is_deleted = jResp.BoolOf("related_objects[i].is_deleted")
    present_at_all_locations = jResp.BoolOf("related_objects[i].present_at_all_locations")
    category_dataName = jResp.StringOf("related_objects[i].category_data.name")
    tax_dataName = jResp.StringOf("related_objects[i].tax_data.name")
    tax_dataCalculation_phase = jResp.StringOf("related_objects[i].tax_data.calculation_phase")
    tax_dataInclusion_type = jResp.StringOf("related_objects[i].tax_data.inclusion_type")
    tax_dataPercentage = jResp.StringOf("related_objects[i].tax_data.percentage")
    tax_dataEnabled = jResp.BoolOf("related_objects[i].tax_data.enabled")
    i = i + 1