add note to try other tf normalization strategies.

[cdsc_reddit.git] / submissions_2_parquet_part1.py

diff --git a/submissions_2_parquet_part1.py b/submissions_2_parquet_part1.py
deleted file mode 100755 (executable)
index 131391b..0000000
--- a/submissions_2_parquet_part1.py
+++ /dev/null
@@ -1,110 +0,0 @@
-#!/usr/bin/env python3
-
-# two stages:
-# 1. from gz to arrow parquet (this script) 
-# 2. from arrow parquet to spark parquet (submissions_2_parquet_part2.py)
-
-import json
-from datetime import datetime
-from multiprocessing import Pool
-from itertools import islice
-from helper import find_dumps, open_fileset
-import pandas as pd
-import pyarrow as pa
-import pyarrow.parquet as pq
-
-
-def parse_submission(post, names = None):
-    if names is None:
-        names = ['id','author','subreddit','title','created_utc','permalink','url','domain','score','ups','downs','over_18','has_media','selftext','retrieved_on','num_comments','gilded','edited','time_edited','subreddit_type','subreddit_id','subreddit_subscribers','name','is_self','stickied','is_submitter','quarantine','error']
-
-    try:
-        post = json.loads(post)
-    except (json.decoder.JSONDecodeError, UnicodeDecodeError) as e:
-        #        print(e)
-        #        print(post)
-        row = [None for _ in names]
-        row[-1] = "json.decoder.JSONDecodeError|{0}|{1}".format(e,post)
-        return tuple(row)
-
-    row = []
-
-    for name in names:
-        if name == 'created_utc' or name == 'retrieved_on':
-            val = post.get(name,None)
-            if val is not None:
-                row.append(datetime.fromtimestamp(int(post[name]),tz=None))
-            else:
-                row.append(None)
-        elif name == 'edited':
-            val = post[name]
-            if type(val) == bool:
-                row.append(val)
-                row.append(None)
-            else:
-                row.append(True)
-                row.append(datetime.fromtimestamp(int(val),tz=None))
-        elif name == "time_edited":
-            continue
-        elif name == 'has_media':
-            row.append(post.get('media',None) is not None)
-
-        elif name not in post:
-            row.append(None)
-        else:
-            row.append(post[name])
-    return tuple(row)
-
-dumpdir = "/gscratch/comdata/raw_data/reddit_dumps/submissions"
-
-files = list(find_dumps(dumpdir))
-
-pool = Pool(28)
-
-stream = open_fileset(files)
-
-N = 100000
-
-rows = pool.imap_unordered(parse_submission, stream, chunksize=int(N/28))
-
-schema = pa.schema([
-    pa.field('id', pa.string(),nullable=True),
-    pa.field('author', pa.string(),nullable=True),
-    pa.field('subreddit', pa.string(),nullable=True),
-    pa.field('title', pa.string(),nullable=True),
-    pa.field('created_utc', pa.timestamp('ms'),nullable=True),
-    pa.field('permalink', pa.string(),nullable=True),
-    pa.field('url', pa.string(),nullable=True),
-    pa.field('domain', pa.string(),nullable=True),
-    pa.field('score', pa.int64(),nullable=True),
-    pa.field('ups', pa.int64(),nullable=True),
-    pa.field('downs', pa.int64(),nullable=True),
-    pa.field('over_18', pa.bool_(),nullable=True),
-    pa.field('has_media',pa.bool_(),nullable=True),
-    pa.field('selftext',pa.string(),nullable=True),
-    pa.field('retrieved_on', pa.timestamp('ms'),nullable=True),
-    pa.field('num_comments', pa.int64(),nullable=True),
-    pa.field('gilded',pa.int64(),nullable=True),
-    pa.field('edited',pa.bool_(),nullable=True),
-    pa.field('time_edited',pa.timestamp('ms'),nullable=True),
-    pa.field('subreddit_type',pa.string(),nullable=True),
-    pa.field('subreddit_id',pa.string(),nullable=True),
-    pa.field('subreddit_subscribers',pa.int64(),nullable=True),
-    pa.field('name',pa.string(),nullable=True),
-    pa.field('is_self',pa.bool_(),nullable=True),
-    pa.field('stickied',pa.bool_(),nullable=True),
-    pa.field('is_submitter',pa.bool_(),nullable=True),
-    pa.field('quarantine',pa.bool_(),nullable=True),
-    pa.field('error',pa.string(),nullable=True)])
-
-with  pq.ParquetWriter("/gscratch/comdata/output/reddit_submissions.parquet_temp",schema=schema,compression='snappy',flavor='spark') as writer:
-    while True:
-        chunk = islice(rows,N)
-        pddf = pd.DataFrame(chunk, columns=schema.names)
-        table = pa.Table.from_pandas(pddf,schema=schema)
-        if table.shape[0] == 0:
-            break
-        writer.write_table(table)
-
-    writer.close()
-