Docker API not handling batch requests

[vintrocode]

Hello,

I'm sending a list of sentences to the Flask API being served in the Docker container.
It looks as though it get an embedding for the first sentence and nothing more.

questions = self.target['source']  # self.target is a pd.DataFrame
q_params = {"q": questions, "lang": self.lang}
q_resp = requests.get(url=url, params=q_params).json()

HTTP request looks good, with all my queries showing up...

laser_1        | 172.21.0.3 - - [24/May/2021 18:51:36] "GET /vectorize?q=are+rollups+safe%3F&q=are+rollups+secure%3F&q=can+rollups+get+hacked%3F&q=why+is+there+a+delay+for+withdrawals%3F&q=why+do+I+have+to+wait+to+take+money+off+optimism%3F&q=how+come+there%27s+a+week+delay+to+get+my+tokens%3F&q=I+initiated+a+withdrawal+but+haven%27t+seen+my+funds+on+layer+1&q=why+didn%27t+my+funds+show+up+on+layer+1%3F&q=does+eth+get+used+natively%3F&q=can+you+use+eth+on+optimism+layer+2%3F&q=does+optimism+use+eth+natively%3F&q=how+are+ethereum+and+optimism+different%3F&q=what%27s+the+difference+between+optimism+and+ethereum%3F&q=are+optimism+and+ethereum+the+same+thing%3F&q=how+is+optimism+different+than+ethereum%3F&q=how+do+gas+fees+work%3F&q=how+much+is+gas+on+optimism%3F&q=is+gas+free+on+optimism%3F&q=can+I+perform+gasless+transactions+on+optimism%3F&q=is+optimism+a+side+chain%3F&q=is+optimism+like+polygon%3F&q=is+optimism+like+matic%3F&q=are+rollups+like+side+chains%3F&q=what+is+optimism%3F&q=can+someone+explain+what+optimism+is%3F&q=I+don%27t+get+what+optimism+is&q=how+does+optimism+work%3F&q=does+optimism+have+a+token%3F&q=wen+token%3F&q=will+there+be+a+token+sale%3F&q=will+there+ever+be+a+token%3F&lang=en HTTP/1.1" 200 -

However, when i inspect my objects I'm only seeing one embedding for the first sentence in my dataset

>>> q_resp
{'content': 'are rollups safe?', 'embedding': [[0.006896499078720808, 0.0008682733750902116, 2.3302329282159917e-05, 0.019545545801520348, 0.02323770895600319, 0.0027267790865153074, 0.006234459113329649, 0.0010635550133883953, 0.008298469707369804, -0.00198509288020432, 0.02701161988079548, 0.0018054023385047913, 0.0015152408741414547, 0.0052356724627316, 0.01686531864106655, 0.005486164707690477, 0.003971261437982321, 0.0024603204801678658, -0.00046757759992033243, 0.0005743122892454267, 0.002572837984189391, 0.014154700562357903, -0.0017922535771504045, 0.0019696862436830997, 0.002940467558801174, 0.0004275832325220108, 0.012331436388194561, 0.005137732718139887, -0.0013881131308153272, 0.002699504606425762, 0.0068814377300441265, 0.015245484188199043, -0.0010529259452596307, -0.0021112042013555765, -0.0034494074061512947, 0.008906453847885132, 0.006248805671930313, 0.004935550503432751, 0.003102224785834551, 0.0001662701106397435, 0.0045767915435135365, 0.009745897725224495, 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[vintrocode]

I spotted one issue in app.py. In the code below...

@app.route("/vectorize")
def vectorize():
    content = request.args.get('q')

request.args.get() returns a single value, the first if there are multiple. The solution is to change it to request.args.getlist().

This creates another issue because when the temp file is written out, it's expecting a string instead of a list. I chose not to pursue fixing this because I figured it would cause more downstream errors.

It's unclear to me whether or not the text_processing and encoding functions can handle multiple sentences. If they can, what's the format they expect?