Created
August 21, 2016 08:32
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Process elastic search json result to csv.
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| # coding=utf-8 | |
| import re | |
| import os.path | |
| import sys | |
| import json | |
| PATH = os.path.dirname(os.path.abspath(__file__)) | |
| def get_file_name(name): | |
| result = re.search(r'(\w+)\.[^\.]+$', name) | |
| if result: | |
| return result.group(1) | |
| else: | |
| return name | |
| # RESP_FILE = os.path.join(PATH, sys.argv[1]) | |
| RESP_FILE = os.path.join(PATH, "ydy_0821.json") | |
| CSV_FILE = "%s.csv" % get_file_name(RESP_FILE) | |
| with open(RESP_FILE, 'r') as in_file: | |
| with open(CSV_FILE, 'w') as out_file: | |
| in_json = json.load(in_file) | |
| result_map = in_json["aggregations"]["2"]["buckets"] | |
| out_file.write('运动员,声量\n') | |
| for ydy_name in result_map.keys(): | |
| buckets = result_map[ydy_name]["3"]["buckets"] | |
| for bucket in buckets: | |
| ydy_data = [ydy_name] | |
| ydy_data.append(bucket["key_as_string"].replace("T00:00:00.000+08:00","")) | |
| ydy_data.append(str(bucket["doc_count"])) | |
| out_file.write((",".join(ydy_data) + '\n').encode('utf-8')) |
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