96 lines
3.4 KiB
Python
96 lines
3.4 KiB
Python
import requests
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import json
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# Configuration
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BASE_URL = "https://dev-api.oneskyit.com/v3/crud"
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# Valid account id_random provided by user
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ACCOUNT_ID = "nqOzejLCDXM"
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headers = {
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"X-Account-ID": ACCOUNT_ID,
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"Content-Type": "application/json"
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}
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def test_search(obj_type, query, description, params=None):
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"""
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Helper to run a search test and print results.
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"""
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print(f"--- Testing: {description} ---")
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url = f"{BASE_URL}/{obj_type}/search"
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try:
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response = requests.post(url, headers=headers, json=query, params=params)
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print(f"URL: {response.url}")
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print(f"Status Code: {response.status_code}")
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data = response.json()
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# Check if the result is a list or single object
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result_data = data.get('data')
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if isinstance(result_data, list):
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print(f"Result Count: {len(result_data)}")
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if len(result_data) > 0:
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# Print first item as example
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print(f"First Item Example: {json.dumps(result_data[0], indent=2)[:200]}...")
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else:
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print(f"Result Type: {type(result_data)}")
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print(f"Result Data: {json.dumps(result_data, indent=2)}")
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if response.status_code != 200:
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print(f"Meta Details: {json.dumps(data.get('meta', {}), indent=2)}")
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except requests.exceptions.ConnectionError:
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print(f"Error: Could not connect to {BASE_URL}. Is the API running?")
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except Exception as e:
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print(f"Error during test: {e}")
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print("-" * 40 + "\n")
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if __name__ == "__main__":
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print(f"Starting Aether V3 Search Tests against {BASE_URL}\n")
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# 1. Standardized Global Search (q property)
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query_q = {
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"q": "%" # Standardized full-text search across indexed columns
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}
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test_search("journal", query_q, "Global Search (q property)")
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# 2. Hybrid Filtering (POST Body + Query Params)
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query_simple = {
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"and": [{"field": "name", "op": "like", "value": "%"}]
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}
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params_hybrid = {"enabled": "disabled"} # Should find disabled journals if any
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test_search("journal", query_simple, "Hybrid Filtering (Body + ?enabled=disabled)", params=params_hybrid)
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# 3. View Selection (view parameter)
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# Testing with 'site_domain' which has 'tbl_alt' defined as 'v_site_domain_fqdn_id'
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query_site = {"q": "%"}
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params_view = {"view": "alt"}
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test_search("site_domain", query_site, "View Selection (view=alt)", params=params_view)
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# 4. Explicit Parent Filtering
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# Testing 'journal_entry' belonging to a journal (journal_id=1 exists based on previous tests)
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# We'll use the 'for_obj_type' and 'for_obj_id' as query params
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# Assuming id_random 'DCAV-06-35-85' exists for journal_id 1
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query_empty = {}
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params_parent = {
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"for_obj_type": "journal",
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"for_obj_id": "DCAV-06-35-85"
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}
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test_search("journal_entry", query_empty, "Explicit Parent Filtering (?for_obj_type=journal)", params=params_parent)
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# 5. Complex Nested Logic (Recap)
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query_nested = {
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"and": [
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{"field": "enable", "op": "eq", "value": True},
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{
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"or": [
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{"field": "name", "op": "like", "value": "%Journal%"},
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{"field": "summary", "op": "is_not_null"}
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]
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}
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]
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}
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test_search("journal", query_nested, "Nested Logic (AND + OR group)")
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print("Tests Complete.")
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