add data download api

This commit is contained in:
Pritimay Sarkar
2023-08-21 19:14:24 +05:30
parent 960f5b9d9c
commit bddd2a137c
6 changed files with 206 additions and 6 deletions

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@@ -0,0 +1,88 @@
import functions_framework
from firebase_functions import https_fn
# import firebase_admin
from firebase_admin import initialize_app, firestore
import pandas as pd
import datetime
import sys
import platform
import os
import io
from flask import send_file
initialize_app()
@functions_framework.http
def consolidation(request):
"""HTTP Cloud Function.
Args:
request (flask.Request): The request object.
<https://flask.palletsprojects.com/en/1.1.x/api/#incoming-request-data>
Returns:
The response text, or any set of values that can be turned into a
Response object using `make_response`
<https://flask.palletsprojects.com/en/1.1.x/api/#flask.make_response>.
"""
request_json = request.get_json(silent=True)
request_args = request.args
if request_json and 'start_date' in request_json and 'end_date' in request_json:
start_date = request_json['start_date']
end_date = request_json['end_date']
elif request_args and 'start_date' in request_args and 'end_date' in request_args:
start_date = request_args['start_date']
end_date = request_args['end_date']
else:
start_date = "2023-08-20"
end_date = "2023-08-21"
path_delim = "/"
db = firestore.client()
patient_collection = db.collection("patientData")
test_collection = db.collection("testData")
query = test_collection
patient_docs = query.stream()
data = []
for patient_doc in patient_docs:
patient_data = patient_doc.to_dict()
patient_id = patient_data["_id"]
test_docs = test_collection.where("_id", "==", patient_id).stream()
for test_doc in test_docs:
test_data = test_doc.to_dict()
combined_data = {**patient_data, **test_data}
for key, value in combined_data.items():
if value == "" and key in patient_data:
combined_data[key] = patient_data[key]
data.append(combined_data)
df = pd.DataFrame(data)
output_filename = "data.xlsx"
output_path = os.getcwd() + path_delim + output_filename
writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False)
df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus", "reportPath", "createdBy", "csvPath", "result", "mobileId", "resultRatio", "localFlag", "led2", "led1"], axis=1)
df.rename(columns={'deviceSerialNumber': "loginId", "calculatedRatio": "calibratedRatio"}, inplace = True)
df.to_excel(writer, sheet_name = 'data', index=False)
writer.close()
# firebase_admin.delete_app(firebase_admin.get_app())
# return 'df size {}!'.format(df.size)
with open(output_path,'rb') as f:
file_data = io.BytesIO(f.read())
# application/vnd.ms-excel
return send_file(file_data, download_name= "data.xlsx", mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")

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@@ -1,7 +1,12 @@
# Deploy with `firebase deploy`
from firebase_functions import https_fn
from firebase_admin import initialize_app
from firebase_admin import initialize_app, firestore
import pandas as pd
import datetime
import sys
import platform
import os
# initialize_app()
#
@@ -10,8 +15,69 @@ from firebase_admin import initialize_app
# def on_request_example(req: https_fn.Request) -> https_fn.Response:
# return https_fn.Response("Hello world!")
# @https_fn.on_request(
# cors=options.CorsOptions(
# cors_origins=[r"firebase\.com$", r"https://flutter\.com"],
# cors_methods=["get", "post"],
# )
# )
initialize_app()
@https_fn.on_request()
def on_request_example(req: https_fn.Request) -> https_fn.Response:
return https_fn.Response("Hello world!")
def consolidation(req: https_fn.Request) -> https_fn.Response:
path_delim = "/"
db = firestore.client()
patient_collection = db.collection("patientData")
test_collection = db.collection("testData")
start_date = req.query.start_date
print("start_date", start_date)
end_date = req.query.end_date
print("end_date", end_date)
query = test_collection # test_collection.where(filter=FieldFilter("testTime", ">=", start_date)).where(filter=FieldFilter("testTime", "<", end_date))
patient_docs = query.stream()
data = []
for patient_doc in patient_docs:
patient_data = patient_doc.to_dict()
patient_id = patient_data["_id"]
test_docs = test_collection.where("_id", "==", patient_id).stream()
for test_doc in test_docs:
test_data = test_doc.to_dict()
combined_data = {**patient_data, **test_data}
for key, value in combined_data.items():
if value == "" and key in patient_data:
combined_data[key] = patient_data[key]
data.append(combined_data)
df = pd.DataFrame(data)
output_filename = "data.xlsx"
df.to_csv(output_filename, index=False)
output_path = os.getcwd() + path_delim + output_filename
writer = pd.ExcelWriter(output_path, engine = 'openpyxl')
df = df[(df['testTime'] > start_date) & (df['testTime'] <= end_date)]
df = df.sort_values(by=['testTime'], ascending=False)
df = df.drop(['resultData', "reportUploadTime", "userImageURL", "testType", "birthYear", "testStatus", "reportPath", "createdBy", "csvPath", "result", "mobileId", "resultRatio", "localFlag", "led2", "led1"], axis=1)
df.to_excel(writer, sheet_name = 'data', index=False)
writer.close()
firebase_admin.delete_app(firebase_admin.get_app())
# return https_fn.Response(response = send_file(output_path))
return https_fn.Response("Ok!")

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@@ -1 +1,4 @@
firebase_functions~=0.1.0
functions-framework==3.*
firebase_functions~=0.1.0
pandas==2.0.3
openpyxl==3.1.2