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(CkPython) Square API - Batch Retrieve Catalog ObjectsReturns 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
import sys import chilkat # This example assumes the Chilkat API to have been previously unlocked. # See Global Unlock Sample for sample code. http = chilkat.CkHttp() # 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 = chilkat.CkJsonObject() i = 0 json.put_I(i) json.UpdateString("object_ids[i]","W62UWFY35CWMYGVWK6TWJDNI") i = i + 1 json.put_I(i) json.UpdateString("object_ids[i]","AA27W3M2GGTF3H6AVPNB77CK") json.UpdateBool("include_related_objects",True) # Adds the "Authorization: Bearer ACCESS_TOKEN" header. http.put_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.get_LastMethodSuccess() == False): print(http.lastErrorText()) sys.exit() sbResponseBody = chilkat.CkStringBuilder() resp.GetBodySb(sbResponseBody) jResp = chilkat.CkJsonObject() jResp.LoadSb(sbResponseBody) jResp.put_EmitCompact(False) print("Response Body:") print(jResp.emit()) respStatusCode = resp.get_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.put_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.put_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.put_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.put_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 |
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