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"""
Import public NYC taxi and for-hire vehicle (Uber, Lyft, etc.) trip data into InfluxDB 2.0
https://github.com/toddwschneider/nyc-taxi-data
"""
import concurrent.futures
import io
import multiprocessing
from collections import OrderedDict
from csv import DictReader
from datetime import datetime
from multiprocessing import Value
from urllib.request import urlopen
import reactivex as rx
from reactivex import operators as ops
from influxdb_client import Point, InfluxDBClient, WriteOptions
from influxdb_client.client.write_api import WriteType
class ProgressTextIOWrapper(io.TextIOWrapper):
"""
TextIOWrapper that store progress of read.
"""
def __init__(self, *args, **kwargs):
io.TextIOWrapper.__init__(self, *args, **kwargs)
self.progress = None
pass
def readline(self, *args, **kwarg) -> str:
readline = super().readline(*args, **kwarg)
self.progress.value += len(readline)
return readline
class InfluxDBWriter(multiprocessing.Process):
"""
Writer that writes data in batches with 50_000 items.
"""
def __init__(self, queue):
multiprocessing.Process.__init__(self)
self.queue = queue
self.client = InfluxDBClient(url="http://localhost:8086", token="my-token", org="my-org", debug=False)
self.write_api = self.client.write_api(
write_options=WriteOptions(write_type=WriteType.batching, batch_size=50_000, flush_interval=10_000))
def run(self):
while True:
next_task = self.queue.get()
if next_task is None:
# Poison pill means terminate
self.terminate()
self.queue.task_done()
break
self.write_api.write(bucket="my-bucket", record=next_task)
self.queue.task_done()
def terminate(self) -> None:
proc_name = self.name
print()
print('Writer: flushing data...')
self.write_api.close()
self.client.close()
print('Writer: closed'.format(proc_name))
def parse_row(row: OrderedDict):
"""Parse row of CSV file into Point with structure:
taxi-trip-data,DOLocationID=152,PULocationID=79,dispatching_base_num=B02510 dropoff_datetime="2019-01-01 01:27:24" 1546304267000000000
CSV format:
dispatching_base_num,pickup_datetime,dropoff_datetime,PULocationID,DOLocationID,SR_Flag
B00001,2019-01-01 00:30:00,2019-01-01 02:51:55,,,
B00001,2019-01-01 00:45:00,2019-01-01 00:54:49,,,
B00001,2019-01-01 00:15:00,2019-01-01 00:54:52,,,
B00008,2019-01-01 00:19:00,2019-01-01 00:39:00,,,
B00008,2019-01-01 00:27:00,2019-01-01 00:37:00,,,
B00008,2019-01-01 00:48:00,2019-01-01 01:02:00,,,
B00008,2019-01-01 00:50:00,2019-01-01 00:59:00,,,
B00008,2019-01-01 00:51:00,2019-01-01 00:56:00,,,
B00009,2019-01-01 00:44:00,2019-01-01 00:58:00,,,
B00009,2019-01-01 00:19:00,2019-01-01 00:36:00,,,
B00009,2019-01-01 00:36:00,2019-01-01 00:49:00,,,
B00009,2019-01-01 00:26:00,2019-01-01 00:32:00,,,
...
:param row: the row of CSV file
:return: Parsed csv row to [Point]
"""
return Point("taxi-trip-data") \
.tag("dispatching_base_num", row['dispatching_base_num']) \
.tag("PULocationID", row['PULocationID']) \
.tag("DOLocationID", row['DOLocationID']) \
.tag("SR_Flag", row['SR_Flag']) \
.field("dropoff_datetime", row['dropoff_datetime']) \
.time(row['pickup_datetime']) \
.to_line_protocol()
def parse_rows(rows, total_size):
"""
Parse bunch of CSV rows into LineProtocol
:param total_size: Total size of file
:param rows: CSV rows
:return: List of line protocols
"""
_parsed_rows = list(map(parse_row, rows))
counter_.value += len(_parsed_rows)
if counter_.value % 10_000 == 0:
print('{0:8}{1}'.format(counter_.value, ' - {0:.2f} %'
.format(100 * float(progress_.value) / float(int(total_size))) if total_size else ""))
pass
queue_.put(_parsed_rows)
return None
def init_counter(counter, progress, queue):
"""
Initialize shared counter for display progress
"""
global counter_
counter_ = counter
global progress_
progress_ = progress
global queue_
queue_ = queue
if __name__ == "__main__":
"""
Create multiprocess shared environment
"""
queue_ = multiprocessing.Manager().Queue()
counter_ = Value('i', 0)
progress_ = Value('i', 0)
startTime = datetime.now()
url = "https://s3.amazonaws.com/nyc-tlc/trip+data/fhv_tripdata_2019-01.csv"
# url = "file:///Users/bednar/Developer/influxdata/influxdb-client-python/examples/fhv_tripdata_2019-01.csv"
"""
Open URL and for stream data
"""
response = urlopen(url)
if response.headers:
content_length = response.headers['Content-length']
io_wrapper = ProgressTextIOWrapper(response)
io_wrapper.progress = progress_
"""
Start writer as a new process
"""
writer = InfluxDBWriter(queue_)
writer.start()
"""
Create process pool for parallel encoding into LineProtocol
"""
cpu_count = multiprocessing.cpu_count()
with concurrent.futures.ProcessPoolExecutor(cpu_count, initializer=init_counter,
initargs=(counter_, progress_, queue_)) as executor:
"""
Converts incoming HTTP stream into sequence of LineProtocol
"""
data = rx \
.from_iterable(DictReader(io_wrapper)) \
.pipe(ops.buffer_with_count(10_000),
# Parse 10_000 rows into LineProtocol on subprocess
ops.flat_map(lambda rows: executor.submit(parse_rows, rows, content_length)))
"""
Write data into InfluxDB
"""
data.subscribe(on_next=lambda x: None, on_error=lambda ex: print(f'Unexpected error: {ex}'))
"""
Terminate Writer
"""
queue_.put(None)
queue_.join()
print()
print(f'Import finished in: {datetime.now() - startTime}')
print()
"""
Querying 10 pickups from dispatching 'B00008'
"""
query = 'from(bucket:"my-bucket")' \
'|> range(start: 2019-01-01T00:00:00Z, stop: now()) ' \
'|> filter(fn: (r) => r._measurement == "taxi-trip-data")' \
'|> filter(fn: (r) => r.dispatching_base_num == "B00008")' \
'|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")' \
'|> rename(columns: {_time: "pickup_datetime"})' \
'|> drop(columns: ["_start", "_stop"])|> limit(n:10, offset: 0)'
client = InfluxDBClient(url="http://localhost:8086", token="my-token", org="my-org", debug=False)
result = client.query_api().query(query=query)
"""
Processing results
"""
print()
print("=== Querying 10 pickups from dispatching 'B00008' ===")
print()
for table in result:
for record in table.records:
print(
f'Dispatching: {record["dispatching_base_num"]} pickup: {record["pickup_datetime"]} dropoff: {record["dropoff_datetime"]}')
"""
Close client
"""
client.close()
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