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Add pd.DataFrame support, remove dataclass_wizard (#3)
* Add pd.DataFrame support, remove dataclass_wizard, add import examples * Remove dataclass-wizard dependency * Disable debug timing code
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Original file line number | Diff line number | Diff line change |
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#!/usr/bin/python3 | ||
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import sys | ||
import time | ||
from datasets import load_dataset | ||
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import turbopuffer as tpuf | ||
import traceback | ||
from typing import Iterable, Iterator | ||
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class DocumentMapper: | ||
doc_source: Iterator | ||
index: int | ||
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def __init__(self, doc_source: Iterable): | ||
self.doc_source = iter(doc_source) | ||
self.index = -1 | ||
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def __iter__(self): | ||
return self | ||
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def __next__(self): | ||
self.index += 1 | ||
value = next(self.doc_source) | ||
if value: | ||
vector = value.pop('emb') | ||
return tpuf.VectorRow( | ||
id=self.index, | ||
vector=vector, | ||
attributes=value, | ||
) | ||
return value | ||
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def main(dataset_name): | ||
docs = load_dataset(dataset_name, split="train", streaming=True) | ||
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mapper = DocumentMapper(docs) | ||
ns = tpuf.Namespace(dataset_name.replace('/', '-')) | ||
start_time = time.monotonic() | ||
try: | ||
ns.upsert(mapper) | ||
except Exception: | ||
traceback.print_exc() | ||
finally: | ||
print('Upserted', mapper.index+1, 'documents') | ||
print('Took:', (time.monotonic()-start_time), 'seconds') | ||
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if __name__ == "__main__": | ||
if len(sys.argv) != 2: | ||
print(f"Usage: {sys.argv[0]} <dataset_name>\n" | ||
" Default TURBOPUFFER_API_KEY will be used from environment.") | ||
sys.exit(1) | ||
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main(sys.argv[1]) |
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Original file line number | Diff line number | Diff line change |
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#!/usr/bin/python3 | ||
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import glob | ||
import os | ||
import sys | ||
import time | ||
import pandas as pd | ||
import turbopuffer as tpuf | ||
import traceback | ||
import threading | ||
from queue import Queue | ||
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NUM_THREADS = 4 | ||
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def read_docs_to_queue(queue, parquet_files): | ||
try: | ||
file_offset = 0 | ||
for parquet_file in parquet_files: | ||
df = pd.read_parquet(parquet_file).rename(columns={'emb': 'vector'}) | ||
if 'id' not in df.keys(): | ||
df['id'] = range(file_offset, file_offset+len(df)) | ||
queue.put(df) | ||
file_offset += len(df) | ||
except Exception: | ||
print('Failed to read batch:') | ||
traceback.print_exc() | ||
for _ in range(0, NUM_THREADS): | ||
queue.put(None) # Signal the end of the documents | ||
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def upsert_docs_from_queue(input_queue, dataset_name): | ||
ns = tpuf.Namespace(dataset_name) | ||
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batch = input_queue.get() | ||
while batch is not None: | ||
try: | ||
ns.upsert(batch) | ||
print(f"Completed {batch['id'][0]}..{batch['id'][batch.shape[0]-1]}") | ||
except KeyboardInterrupt: | ||
break | ||
except Exception: | ||
print(f"Failed to upsert batch: {batch['id'][0]}..{batch['id'][batch.shape[0]-1]}") | ||
traceback.print_exc() | ||
batch = input_queue.get() | ||
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def main(dataset_name, input_path): | ||
input_glob = os.path.join(input_path, "*.parquet") | ||
parquet_files = glob.glob(input_glob) | ||
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if len(parquet_files) == 0: | ||
print(f"No .parquet files found in: {input_glob}") | ||
sys.exit(1) | ||
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doc_queue = Queue(NUM_THREADS) | ||
read_thread = threading.Thread(target=read_docs_to_queue, args=(doc_queue, parquet_files)) | ||
upsert_threads = [] | ||
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start_time = time.monotonic() | ||
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try: | ||
read_thread.start() | ||
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for _ in range(NUM_THREADS): | ||
upsert_thread = threading.Thread(target=upsert_docs_from_queue, args=(doc_queue, dataset_name)) | ||
upsert_threads.append(upsert_thread) | ||
upsert_thread.start() | ||
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read_thread.join() | ||
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for upsert_thread in upsert_threads: | ||
upsert_thread.join() | ||
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finally: | ||
print('Upserted', doc_queue.qsize(), 'documents') | ||
print('Took:', (time.monotonic() - start_time), 'seconds') | ||
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if __name__ == "__main__": | ||
if len(sys.argv) != 3: | ||
print(f"Usage: {sys.argv[0]} <dataset_name> <input_folder>\n" | ||
" Default TURBOPUFFER_API_KEY will be used from environment.") | ||
sys.exit(1) | ||
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main(sys.argv[1], sys.argv[2]) |
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