initial creation

py3interm/EXAMPLES/thr_pool_mw.py

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+#!/usr/bin/env python
+from multiprocessing.dummy import Pool  # <1>
+from pprint import pprint
+import requests
+
+POOL_SIZE = 4
+
+BASE_URL = 'https://www.dictionaryapi.com/api/v3/references/collegiate/json/'  # <2>
+
+API_KEY = 'b619b55d-faa3-442b-a119-dd906adc79c8' # <3>
+
+search_terms = [  # <4>
+    'wombat',
+    'frog', 'muntin', 'automobile', 'green', 'connect',
+    'vial', 'battery', 'computer', 'sing', 'park',
+    'ladle', 'ram', 'dog', 'scalpel'
+]
+
+
+def fetch_data(term):  # <5>
+    try:
+        response = requests.get(
+            BASE_URL + term,
+            params={'key': API_KEY},
+        )  # <6>
+    except requests.HTTPError as err:
+        print(err)
+        return []
+    else:
+        data = response.json()  # <7>
+        parts_of_speech = []
+        for entry in data: # <8>
+            if isinstance(entry, dict):
+                meta = entry.get("meta")
+                if meta:
+                    part_of_speech = entry.get("fl")
+                    if part_of_speech:
+                        parts_of_speech.append(part_of_speech)
+        return sorted(set(parts_of_speech))  # <9>
+
+
+p = Pool(POOL_SIZE)  # <10>
+
+results = p.map(fetch_data, search_terms)  # <11>
+
+for search_term, result in zip(search_terms, results):  # <12>
+    print("{}:".format(search_term.upper()))
+    if result:
+        print(result)
+    else:
+        print("** no results **")