python how to insert result of data frame into read_block function

I am trying to use the result of data frame that I generated from Azure Blob Storage and apply to the next step (where it extracts data in certain way).

I have tested both sides (generating data from Azure Blob Storage & extracting data using Regex (and it works if I tested separately)), but my challenge now is putting two pieces of code together.

Here is first part (getting data frame from Azure Blob Storage):

import re 
from io import StringIO
import pandas as pd
from azure.storage.blob import BlobClient


blob = BlobClient(account_url="https://test.blob.core.windows.net",
              container_name="xxxx",
              blob_name="Text.csv",
              credential="xxxx")

data = blob.download_blob()
df = pd.read_csv(data)

Here is second part (extracting only some parts from a csv file):

def read_block(names, igidx=True):
    with open("Test.csv") as f:   ###<<<This is where I would like to modify<<<###              
        pat = r"(\w+),+$\n[^,]+.+?\n,+\n(.+?)(?=\n,{2,})"
        return pd.concat([
            pd.read_csv(StringIO(m.group(2)), skipinitialspace=True)
                .iloc[:, 1:].dropna(how="all") for m in re.finditer(
                    pat, f.read(), flags=re.M|re.S) if m.group(1) in names # optional
        ], keys=names, ignore_index=igidx)

df2 = read_block(names=["Admissions", "Readmissions"],igidx=False).droplevel(1).reset_index(names="Admission")   

So, what I am trying to do is use df from the first code and apply into the input section of second code where it says "with open ("Test.csv") as f.

How do I modify the second part of this code to take the data result from first part?

Or if that does not work, is there a way to use the file path ID (data) generated from Azure like below?

<azure.storage.blob._download.StorageStreamDownloader object at 0x00000xxxxxxx>

Update:

I modified the code as below, and now I am getting concat error:

I am not sure it is due to not having any looping function (as I modified to delete "with open("Test.csv") as f:).

...

data = blob.download_blob()
df = pd.read_csv(data)
df1 = df.to_csv(index=False, header=False)

def read_block(names, igidx=True):    
    pat = r"(\w+),+$\n[^,]+.+?\n,+\n(.+?)(?=\n,{2,})"
    return pd.concat([
        pd.read_csv(StringIO(m.group(2)), skipinitialspace=True)
            .iloc[:, 1:].dropna(how="all") for m in re.finditer(
                pat, df1, flags=re.M|re.S) if m.group(1) in names 
    ], keys=names, ignore_index=igidx)

df2 = read_block(names=["Admissions", "Readmissions"], igidx=False).droplevel(1).reset_index(names="Admission")   
print(df2) 

New Image:

This is df1:

Not Started: 12,Sent: 3,Completed: 3,,,
,,,,,
Division,Community,Resident Name,Date,Document Status,Last Update
,Test Station,Jane Doe ,9/12/2023,Sent,9/12/2023
,Test Station 2,John Doe,9/12/2023,Not Started,
,Alibaba Fizgerald,Super Man,9/12/2023,Not Started,
,Iceland Kingdom,Super Woman,9/12/2023,Not Started,
,,,,,
,,,,,
Readmissions,,,,,
Not Started: 1,Sent: 0,Completed: 1,,,
,,,,,
Division,Community,Resident Name,Date,Document Status,Last Update
,Station Kingdom,Pretty Woman ,9/12/2023,Not Started,
,My Goodness,Ugly Man,7/21/2023,Completed,7/26/2023
,,,,,
,,,,,
Discharge,,,,,
,,,,,
Division,Community,Resident Name,Date,,
,Station Kingdom1 ,Pretty Woman2 ,8/22/2023,,
,My Goodness1 ,Ugly Man1,4/8/2023,,
,Landmark2,Nice Guys,9/12/2023,,
,Iceland Kingdom2,Mr. Heroshi2,7/14/2023,,
,More Kingdom 2,King Kong ,8/31/2023,,

This is csv file:

This is latest error message:

This is my latest code (third time):

import re 
from io import StringIO
import pandas as pd
from io import BytesIO

blob =    
BlobClient(account_url="https://xxxx.blob.core.windows.net",
              container_name="xxxx",
              blob_name="Sample.csv", 
              credential="xxxx")

data = BytesIO()
blob.download_blob().readinto(data)

def read_block(names, igidx=True):    
    pat = r"(\w+),+$\n[^,]+.+?\n,+\n(.+?)(?=\n,{2,})"
    return pd.concat([
        pd.read_csv(StringIO(m.group(2)), skipinitialspace=True)
            .iloc[:, 1:].dropna(how="all") for m in re.finditer(
                pat, data.read().decode("utf-8"), flags=re.M|re.S)
               if m.group(1) in names], keys=names, ignore_index=igidx)

df2 = read_block(names=["Admissions", "Readmissions"], igidx=False).droplevel(1).reset_index(names="block")
print(df2) 

from python how to insert result of data frame into read_block function