added a generic python recipe

recipes/load_pic.py

@@ -0,0 +1,44 @@
+""" Recipe script which uses the FullContact Python library to resolve contact identifiers to personIds. In this case, the input file is presumed to have a header representing a valid Multifield request (https://github.com/fullcontact/fullcontact-python-client#multifieldrequest).
+
+This script assumes the names of the input and output are "input.csv" and "output.csv", respectively.
+"""
+
+#!/usr/bin/env python3
+import csv
+import os
+
+from fullcontact import FullContactClient
+
+# Fetch API Key from env variable "FC_API_KEY"
+API_KEY = os.environ.get('FC_API_KEY')
+
+# Define input, output file names
+input_file = './input.csv'
+output_filename= './output.csv'
+outputs = []
+
+fullcontact_client = FullContactClient(api_key=API_KEY)
+with open(input_file, encoding='utf-8') as csvf:
+    csv_reader = csv.DictReader(csvf)
+
+    for row in csv_reader:
+        try:
+	    # Pass all row K:V pairings to API.
+            future = fullcontact_client.identity.resolve_async(**row)
+            result = future.result()
+            personIds = result.get_personIds()
+            row['personIds'] = personIds
+        except Exception as e:
+	    # Generic exception handling. Should be more granular in a production env
+            print('something went wrong: ', e)
+            row['personIds'] = []
+        outputs.append(row)
+
+with open(output_filename, 'w', newline='') as output_file:
+    # Define header based on one row's keys
+    keys = outputs[0].keys()
+    out_writer = csv.DictWriter(output_file, keys)
+    out_writer.writeheader()
+    for row in outputs:
+        out_writer.writerow(row)
+