Newman Run Dashboard

Thursday, 25 March 2021 13:55:50
Total Iterations

1

Total Assertions

47

Total Failed Tests

4

Total Skipped Tests

0

File Information
Collection: CCCMI
Collection Description
CCCMI servers collection
Timings and Data
Total run duration: 35s
Total data received: 129.96KB
Average response time: 1126ms
Summary Item Total Failed
Requests 30 0
Prerequest Scripts 30 0
Test Scripts 57 0
Assertions 47 4
Skipped Tests 0 -


Showing 4 Failures

Failed Test: Insctes score should be seperate into groups
Assertion Error Message
expected 'N/A' to have property 'total_score'
Failed Test: Status test
Assertion Error Message
expected response to have status code 200 but got 500
Failed Test: Caenis image
Assertion Error Message
Unexpected token '<' at 2:1
<html><head>
^
Failed Test: Setatus test
Assertion Error Message
expected response to have status code 204 but got 404


There are no skipped tests



1 Iteration available to view
Request Description
place name:dundalk
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/rivers/?location=Dublin
Response Information
Response Code: 200 - OK
Mean time per request: 716ms
Mean size per request: 1.61KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Cache-Control no-cache
Postman-Token f7cefacb-a4e6-4b6d-9ca6-3a24e5200a19
Host cccmi-aquality.tk
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:15 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 1645
Connection keep-alive
Response Body
[{"river_id":3942,"river_code":"IE_09_AWB_GCB","river_name":"Grand Canal Basin (Liffey and Dublin Bay)","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3431817,"longitude":-6.2347432,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"True"},{"river_id":3925,"river_code":"IE_EA_090_0400","river_name":"Liffey Estuary Upper","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.34699,"longitude":-6.28789,"local_authority":"Dublin City Council","water_body_category":"Transitional","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3922,"river_code":"IE_EA_09T011150","river_name":"TOLKA_060","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3718803,"longitude":-6.2643401,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3936,"river_code":"IE_EA_09L012360","river_name":"LIFFEY_190","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3473387,"longitude":-6.3249397,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3950,"river_code":"IE_EA_09P030800","river_name":"Poddle_010","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3100325,"longitude":-6.3069616,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data length should <= 5 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
requested coordinate: latitude=54.001271 longitude=-6.393078
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/rivers/?latitude=54.001271&longitude=-6.393078
Response Information
Response Code: 200 - OK
Mean time per request: 658ms
Mean size per request: 1.63KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Cache-Control no-cache
Postman-Token dbd9f97d-eba2-4d47-8472-03439ac67ec3
Host cccmi-aquality.tk
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:16 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 1672
Connection keep-alive
Response Body
[{"river_id":3624,"river_code":"IE_NB_06R010300","river_name":"RAMPARTS_010","river_catchments_code":"06","river_catchments":"Newry, Fane, Glyde and Dee","latitude":53.9930948,"longitude":-6.4133067,"local_authority":"Louth County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3626,"river_code":"IE_NB_040_0200","river_name":"Castletown Estuary","river_catchments_code":"06","river_catchments":"Newry, Fane, Glyde and Dee","latitude":54.01308,"longitude":-6.36099,"local_authority":"Louth County Council","water_body_category":"Transitional","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3623,"river_code":"IE_NB_06H080570","river_name":"HAGGARDSTOWN_010","river_catchments_code":"06","river_catchments":"Newry, Fane, Glyde and Dee","latitude":53.9811029,"longitude":-6.3672593,"local_authority":"Louth County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3627,"river_code":"IE_NB_040_0300","river_name":"Ballymascanlan Estuary","river_catchments_code":"06","river_catchments":"Newry, Fane, Glyde and Dee","latitude":54.02171,"longitude":-6.36189,"local_authority":"Louth County Council","water_body_category":"Transitional","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3622,"river_code":"IE_NB_06C010310","river_name":"CASTLETOWN_030","river_catchments_code":"06","river_catchments":"Newry, Fane, Glyde and Dee","latitude":54.0271753,"longitude":-6.4484367,"local_authority":"Louth County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data length should <= 5 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/rivers/?location=null
Response Information
Response Code: 200 - OK
Mean time per request: 557ms
Mean size per request: 1.61KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 93292e8d-4739-4356-a716-bd740314fcfb
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:17 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 1646
Connection keep-alive
Response Body
[{"river_id":3922,"river_code":"IE_EA_09T011150","river_name":"TOLKA_060","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3718803,"longitude":-6.2643401,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3925,"river_code":"IE_EA_090_0400","river_name":"Liffey Estuary Upper","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.34699,"longitude":-6.28789,"local_authority":"Dublin City Council","water_body_category":"Transitional","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3942,"river_code":"IE_09_AWB_GCB","river_name":"Grand Canal Basin (Liffey and Dublin Bay)","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3431817,"longitude":-6.2347432,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"True"},{"river_id":3936,"river_code":"IE_EA_09L012360","river_name":"LIFFEY_190","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3473387,"longitude":-6.3249397,"local_authority":"Dublin City Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3921,"river_code":"IE_EA_09T011100","river_name":"TOLKA_050","river_catchments_code":"09","river_catchments":"Liffey and Dublin Bay","latitude":53.3850718,"longitude":-6.3203228,"local_authority":"Fingal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}]
Test Information
NamePassedFailedSkipped
Status test 2 0 0
Default location = null 2 0 0
Total 4 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/rivers/?latitude=54.93&longitude=-7.55
Response Information
Response Code: 200 - OK
Mean time per request: 243ms
Mean size per request: 1.56KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 18f26e15-1a87-456f-a234-c01d436c4e33
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:18 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 1593
Connection keep-alive
Response Body
[{"river_id":3498,"river_code":"IE_NW_01S010280","river_name":"ST JOHNSTON_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.9246646,"longitude":-7.5032474,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":8263,"river_code":"IE_NW_39L050660","river_name":"LESLIE HILL STREAM_020","river_catchments_code":"39","river_catchments":"Lough Swilly","latitude":54.9406844,"longitude":-7.6181565,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":3501,"river_code":"IE_NW_01S030500","river_name":"SWILLY BURN_030","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.8904946,"longitude":-7.5303392,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":8261,"river_code":"IE_NW_39G380790","river_name":"GLAR_010","river_catchments_code":"39","river_catchments":"Lough Swilly","latitude":54.9812785,"longitude":-7.5339356,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"},{"river_id":8260,"river_code":"IE_NW_39D030600","river_name":"DRUMBARNET STREAM_010","river_catchments_code":"39","river_catchments":"Lough Swilly","latitude":54.9823321,"longitude":-7.5666748,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}]
Test Information
NamePassedFailedSkipped
Status test 2 0 0
Default latitude= 54.93 longitude= -7.55 2 0 0
Total 4 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/useraccount/register
Response Information
Response Code: 200 - OK
Mean time per request: 260ms
Mean size per request: 85B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Cache-Control no-cache
Postman-Token 67294fbc-d4b4-485b-a972-9d308e05a0ae
Host cccmi-aquality.tk
Content-Type multipart/form-data; boundary=--------------------------236254765974351598954446
Content-Length 416
Request Body
{"username":"default_name","email":"wenyuTesting@gmail.com","password":"password"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:18 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 85
Connection keep-alive
Response Body
{"status": "Register Success", "Message": "User Created", "username": "default_name"}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Should register successfully 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
http://aquality-server.eba-rxqnbumy.eu-west-1.elasticbeanstalk.com/aquality_server/useraccount/loginauth
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/useraccount/loginauth
Response Information
Response Code: 200 - OK
Mean time per request: 582ms
Mean size per request: 388B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 09bef362-a693-49ce-8a19-e7064e315ba5
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------542845154300916877584152
Content-Length 290
Request Body
{"username":"lisa","password":"password"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 388
Connection keep-alive
Response Body
{"status": "Login Success", "user_id": 227, "user_username": "default_name", "date_joined": "2021-03-25T13:55:18.238Z", "user_first_name": "", "user_last_name": "", "user_email": "wenyuTesting@gmail.com", "user_group": null, "user_profic": "", "user_dob": null, "user_occupation": null, "user_bio": null, "user_term_condition_accept_state": false, "user_safety_guide_accept_state": false}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Should login successfully 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
http://aquality-server.eba-rxqnbumy.eu-west-1.elasticbeanstalk.com/aquality_server/useraccount/loginauth
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/useraccount/safetyterm
Response Information
Response Code: 200 - OK
Mean time per request: 105ms
Mean size per request: 60B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token f33d7da2-9a7c-4477-88c3-05f7c5b09fa7
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------434868897905126683437938
Content-Length 165
Request Body
{"user_id":"227"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 60
Connection keep-alive
Response Body
{"status_code": 202, "status": "Safety Guide State Updated"}
Test Information
NamePassedFailedSkipped
Check status 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Description
http://aquality-server.eba-rxqnbumy.eu-west-1.elasticbeanstalk.com/aquality_server/useraccount/loginauth
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/useraccount/loginauth
Response Information
Response Code: 200 - OK
Mean time per request: 260ms
Mean size per request: 387B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 2592d510-5d6b-4e83-8c1d-fde2af710d36
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------185194658182408474866142
Content-Length 290
Request Body
{"username":"default_name","password":"password"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 387
Connection keep-alive
Response Body
{"status": "Login Success", "user_id": 227, "user_username": "default_name", "date_joined": "2021-03-25T13:55:18.238Z", "user_first_name": "", "user_last_name": "", "user_email": "wenyuTesting@gmail.com", "user_group": null, "user_profic": "", "user_dob": null, "user_occupation": null, "user_bio": null, "user_term_condition_accept_state": false, "user_safety_guide_accept_state": true}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Safety status should be true 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
delete registed user by username
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/useraccount/delete
Response Information
Response Code: 200 - OK
Mean time per request: 114ms
Mean size per request: 55B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 03d8a7d8-b8ff-4957-86a2-faa78543fc8e
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------833490389082887440732240
Content-Length 175
Request Body
{"username":"default_name"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 55
Connection keep-alive
Response Body
{"status": "User with username : default_name Deleted"}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
should delete user successfully 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
by arduino id
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/data/?arduino_id=5
Response Information
Response Code: 200 - OK
Mean time per request: 102ms
Mean size per request: 143B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token b351f457-f212-49d7-bb30-3937b98ce3cd
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 143
Connection keep-alive
Response Body
[{"data_id":804,"arduino_id":5,"latitude":54.001271,"longitude":-6.393078,"pH":null,"temp":15.0,"date_captured":"2021-03-25T13:53:30.059263Z"}]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data length should > 0 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 54.001271, "longitude": -6.393078, "ph": 6.9, "temp": 15 }
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/data/
Response Information
Response Code: 201 - Created
Mean time per request: 102ms
Mean size per request: 95B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 4dfbcced-26ea-44f9-9f28-e1643383eba5
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------133849291442944406141526
Content-Length 609
Request Body
{"arduino_id":"5","latitude":"54.001271 ","longitude":"-6.393078","ph":"6.9","temp":"15"}
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:19 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 95
Connection keep-alive
Response Body
{"data_id":805,"arduino_id":5,"latitude":54.001271,"longitude":-6.393078,"pH":null,"temp":15.0}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Your test name 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 7.1, "longitude": 50.1, "ph": 7.1, "temp": 10.1 }
Request Information
Request Method: DELETE
Request URL: https://cccmi-aquality.tk/aquality_server/data/805/
Response Information
Response Code: 204 - No Content
Mean time per request: 123ms
Mean size per request: 0B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 5b7efdd7-7857-41c2-9d71-7904ecb5571f
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length 0
Date Thu, 25 Mar 2021 13:55:20 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Connection keep-alive
Response Body
No Response Body for this request
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Description
by arduino id
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/all_hardware_near/?latitude=54.001271&longitude=-6.393078
Response Information
Response Code: 200 - OK
Mean time per request: 101ms
Mean size per request: 2B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 83393b93-a727-4501-ac58-ea021f4aeb98
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:20 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 2
Connection keep-alive
Response Body
[]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 54.001271, "longitude": -6.393078, "ph": 6.9, "temp": 15 }
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/data/
Response Information
Response Code: 201 - Created
Mean time per request: 103ms
Mean size per request: 95B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token ca6d3318-882e-4570-9832-a1513b42cc58
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------671240989545263029972381
Content-Length 609
Request Body
{"arduino_id":"5","latitude":"54.001271 ","longitude":"-6.393078","ph":"6.9","temp":"15"}
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:20 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 95
Connection keep-alive
Response Body
{"data_id":806,"arduino_id":5,"latitude":54.001271,"longitude":-6.393078,"pH":null,"temp":15.0}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Your test name 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/samplerecord/?username=setanta24
Response Information
Response Code: 200 - OK
Mean time per request: 363ms
Mean size per request: 42.53KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 7a838f35-2dd5-436e-a6e0-8dbd3f03d0d3
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:20 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 43550
Connection keep-alive
Response Body
[{"sample_id":37,"sample_date":"2021-02-15T16:03:28.809378Z","sample_score":10,"sample_user":"setanta24","sample_pH":null,"sample_tmp":10.1,"sample_survey":null,"sample_river":{"river_id":8260,"river_code":"IE_NW_39D030600","river_name":"DRUMBARNET STREAM_010","river_catchments_code":"39","river_catchments":"Lough Swilly","latitude":54.9823321,"longitude":-7.5666748,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":38,"sample_date":"2021-02-15T16:04:11.956986Z","sample_score":10,"sample_user":"setanta24","sample_pH":null,"sample_tmp":10.1,"sample_survey":null,"sample_river":{"river_id":8260,"river_code":"IE_NW_39D030600","river_name":"DRUMBARNET STREAM_010","river_catchments_code":"39","river_catchments":"Lough Swilly","latitude":54.9823321,"longitude":-7.5666748,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":47,"sample_date":"2021-02-17T14:22:57.263513Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":null,"sample_river":{"river_id":3502,"river_code":"UKGBNI1NW010103062","river_name":"CARRIGANS_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.9743678,"longitude":-7.4578528,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"Yes","canal":"False"}},{"sample_id":49,"sample_date":"2021-02-17T14:23:42.842842Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":null,"sample_river":{"river_id":3502,"river_code":"UKGBNI1NW010103062","river_name":"CARRIGANS_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.9743678,"longitude":-7.4578528,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"Yes","canal":"False"}},{"sample_id":50,"sample_date":"2021-02-17T14:24:00.816167Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":null,"sample_river":{"river_id":3502,"river_code":"UKGBNI1NW010103062","river_name":"CARRIGANS_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.9743678,"longitude":-7.4578528,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"Yes","canal":"False"}},{"sample_id":73,"sample_date":"2021-03-07T15:45:40.684400Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":74,"sample_date":"2021-03-07T15:48:07.620093Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":75,"sample_date":"2021-03-07T17:38:18.572649Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":76,"sample_date":"2021-03-07T18:16:54.047226Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":77,"sample_date":"2021-03-07T18:32:27.713312Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":78,"sample_date":"2021-03-07T18:48:05.157207Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":79,"sample_date":"2021-03-08T21:54:32.456480Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":80,"sample_date":"2021-03-08T21:56:18.393612Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":81,"sample_date":"2021-03-08T21:59:07.411663Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":82,"sample_date":"2021-03-08T22:00:54.002036Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":83,"sample_date":"2021-03-09T13:24:52.125624Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":84,"sample_date":"2021-03-09T15:46:47.224743Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":85,"sample_date":"2021-03-09T16:18:30.458280Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":86,"sample_date":"2021-03-09T16:49:43.327610Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":87,"sample_date":"2021-03-09T17:44:30.290227Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":88,"sample_date":"2021-03-09T18:52:06.218016Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":89,"sample_date":"2021-03-10T13:06:49.484512Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":90,"sample_date":"2021-03-10T23:37:15.370304Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":91,"sample_date":"2021-03-11T00:35:15.862423Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":92,"sample_date":"2021-03-11T13:39:50.492394Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":93,"sample_date":"2021-03-11T13:42:33.581143Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":95,"sample_date":"2021-03-11T14:57:33.493968Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}},{"sample_id":96,"sample_date":"2021-03-11T14:58:50.414108Z","sample_score":7,"sample_user":"setanta24","sample_pH":null,"sample_tmp":5.0,"sample_survey":{"surveyData":[{"survey":{"pt_sand":{"value":"none","optionText":"None"},"depth_mud":{"value":"less than one","optionText":"< 1 cm"},"pt_gravel":{"value":"none","optionText":"None"},"degree_silt":{"value":"clean","optionText":"Clean"},"pt_silt_mud":{"value":"none","optionText":"None"},"water_clarity":{"value":"clear","optionText":"Clear"},"describe_urban":{"value":"present","optionText":"Present"},"water_velocity":{"value":"present","optionText":"Present"},"describe_forest":{"value":"present","optionText":"Present"},"pt_large_stones":{"value":"none","optionText":"None"},"rubish_in_stream":{"value":"no","optionText":"No"},"farm_animals_text":"sds","riffle_glide_pool":{"value":"present","optionText":"Present"},"describe_grassland":{"value":"present","optionText":"Present"},"describe_tillage_crops":{"value":"present","optionText":"Present"},"farm_animals_selection":{"value":"full access","optionText":"Full Access"},"describe_bog_heath_moorland":{"value":"present","optionText":"Present"},"select_match_presence_trees":{"value":"present","optionText":"Present"},"select_match_urban_suburban":{"value":"present","optionText":"Present"},"select_match_grassland_crops":{"value":"present","optionText":"Present"},"select_match_nativewoodland_moorland":{"value":"present","optionText":"Present"}}}]},"sample_river":{"river_id":3510,"river_code":"IE_NW_01B010100","river_name":"BUNADAOWEN_010","river_catchments_code":"01","river_catchments":"Foyle","latitude":54.7222587,"longitude":-7.9077245,"local_authority":"Donegal County Council","water_body_category":"River","protected_area":null,"transboundary":"No","canal":"False"}}]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data length > 0 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/samplerecord/?username=
Response Information
Response Code: 200 - OK
Mean time per request: 87ms
Mean size per request: 2B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 600f1914-400e-4d74-bb25-767ee0c1c05d
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:20 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 2
Connection keep-alive
Response Body
[]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data should be empty 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/sampledetail
Response Information
Response Code: 200 - OK
Mean time per request: 122ms
Mean size per request: 1.04KB
Test Pass Percentage
No Tests for this request
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 1ed5cfe2-5639-4cb9-a530-0c98b16fcc11
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------505638419921073927255193
Content-Length 166
Request Body
{"sample_id":"222"}
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:21 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 1063
Connection keep-alive
Response Body
{"data_get": {"sample_id": 50, "sample_date": "2021-02-17T14:24:00.816167Z", "sample_score": 7, "sample_user": "setanta24", "sample_pH": null, "sample_tmp": 5.0, "sample_survey": null, "sample_river": {"river_id": 3502, "river_code": "UKGBNI1NW010103062", "river_name": "CARRIGANS_010", "river_catchments_code": "01", "river_catchments": "Foyle", "latitude": 54.9743678, "longitude": -7.4578528, "local_authority": "Donegal County Council", "water_body_category": "River", "protected_area": null, "transboundary": "Yes", "canal": "False"}}, "insect_list": [{"sample_record_data": 50, "sample_record_insect": "Rhyacophila", "insect_number": 150}, {"sample_record_data": 50, "sample_record_insect": "Amphinemura", "insect_number": 10}, {"sample_record_data": 50, "sample_record_insect": "Isoperla", "insect_number": 90}, {"sample_record_data": 50, "sample_record_insect": "Rhithrogena Semicolorata", "insect_number": 250}, {"sample_record_data": 50, "sample_record_insect": "Heptagenia", "insect_number": 30}], "insect_image_list": [], "environment_image_list": []}
Test Information
No Tests for this request
Request Description
group 1 = Mayflies
Request Information
Request Method: GET
Request URL: https://cccmi-aquality.tk/aquality_server/insect/?group=1
Response Information
Response Code: 200 - OK
Mean time per request: 103ms
Mean size per request: 3.23KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Cache-Control no-cache
Postman-Token 2d231ed8-b95c-4d71-8d7c-00e80a3670c6
Host cccmi-aquality.tk
Response Headers
Header NameHeader Value
Allow GET, POST, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:21 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 3306
Connection keep-alive
Response Body
[{"insect_id":13,"insect_name":"Ecdyonurus","insect_desc":"Ecdyonurus: (False or Late March Brown, Green Dun, August Dun, Large Brook Dun). Flat stone-clinger. Very broad head and thorax immediately behind the head. Long spreading tails. Can be quite large – up to 22 mm. Wing buds will be evident in larger specimens. Backward projection on the first segment behind the head (but can be difficult to see in smaller specimens without a good hand lens). In fast-flowing riffles on or under stones. Nymphs should be present all year. A very sensitive indicator of water quality – if missing from a suitable fast-flowing riffled stretch something is wrong. Size up to 15 mm.","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/ecdyonurus_99.jpg"},{"insect_id":14,"insect_name":"Rhithrogena Semicolorata","insect_desc":"Rhithrogena semicolorata: (Olive Upright) Belongs to the same family as Ecdyonurus. Not quite as broad as Ecdyonurus. Distinctive central black spots on the femur. Characteristic swimming movement – it swims upwards actively and then floats downwards. Sensitive to pollution but may be missing from later summer samples due to its life cycle. Adults emerge mostly in May & June (Olive Upright). Should be found in winter and spring stream samples. Size up to 12 mm.","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/rhithrogena_21.jpg"},{"insect_id":15,"insect_name":"Heptagenia","insect_desc":"Heptagenia: (Yellow May Dun, Yellow Hawk). Closely related to Ecdyonurus and Rhithrogena and can be difficult to tell apart – its head and first segments are narrower than Ecdyonurus and it does not have the characteristic Rhithrogena spot on its femur. No backward projection on first segment. Size up to 15 mm.","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/heptagenia_3.jpg"},{"insect_id":16,"insect_name":"Ephemera Danica","insect_desc":"Ephemera Danica (The Mayfly). The largest of the mayflies. Found in slower flow reaches and only in hard, alkaline waters. It burrows into silty or sandy substrates. (In this photo there are also two freshwater shrimps: Gammarus – which are very common but, like Baetis, it is not included in the scoring.) Size up to 30 mm.","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/ephemera_danica_25.jpg"},{"insect_id":17,"insect_name":"Serratella Ignita","insect_desc":"Serratella ignita: (Blue Winged Olive) Striped legs and tails. Watch it as it curls its tail over its head. Poor swimmer. Long middle tail separates it from Baetis and its family. Length up to 14 mm","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/serratella_ignita_8.jpg"},{"insect_id":18,"insect_name":"Caenis","insect_desc":"Caenis (Angler’s Curse) accumulates silt from its habit of silt burrowing. It is one of the smaller mayflies. A poor enough swimmer. One species (Caenis rivulorum, above) has a distinct banding (black-white). Gill cover overlaps the body. Size up to 8 mm.","insect_group":1,"insect_image_path":"https://aquality-server-assets.s3.amazonaws.com/media/insect-img/caenis_11.jpg"}]
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Response data length should >= 1 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/insect_score/score
Response Information
Response Code: 200 - OK
Mean time per request: 239ms
Mean size per request: 48B
Test Pass Percentage
50 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token c31ae31e-0a06-4f25-b455-635066e66efc
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Length 0
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:21 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 48
Connection keep-alive
Response Body
{"success": 404, "json": false, "object": "N/A"}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Insctes score should be seperate into groups 0 1 0
Total 1 1 0
Test Failure
Test NameAssertion Error
Insctes score should be seperate into groups 
expected 'N/A' to have property 'total_score'
Request Description
post an image and get results back
Request Information
Request Method: POST
Request URL: https://aquality2-306820.nw.r.appspot.com/ai_model/detect_image/
Response Information
Response Code: 200 - OK
Mean time per request: 1225ms
Mean size per request: 46B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token f45a8abe-fe87-4669-9187-b72d37ac8da9
Host aquality2-306820.nw.r.appspot.com
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Length 0
Request Body
{"image":[]}
Response Headers
Header NameHeader Value
Content-Type application/json
Vary Accept-Encoding
X-Frame-Options DENY
X-Content-Type-Options nosniff
Referrer-Policy same-origin
Content-Encoding gzip
X-Cloud-Trace-Context d8509246c2a614b606bad5653dec0900;o=1
Date Thu, 25 Mar 2021 13:55:22 GMT
Server Google Frontend
Cache-Control private
Alt-Svc h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
Transfer-Encoding chunked
Response Body
{"success": 404, "time": 0, "object": "empty"}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Empty image 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
post an image and get results back
Request Information
Request Method: POST
Request URL: https://aquality2-306820.nw.r.appspot.com/ai_model/detect_image/
Response Information
Response Code: 200 - OK
Mean time per request: 6.1s
Mean size per request: 217B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 112d58d3-1f41-4de9-9887-b6416933fe2c
Host aquality2-306820.nw.r.appspot.com
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------356517384730075099047620
Content-Length 81410
Request Body
{"image":"/C:/Users/DELL/Desktop/images/01Caenis.jpg","image64":"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"}
Response Headers
Header NameHeader Value
Content-Type application/json
Vary Accept-Encoding
X-Frame-Options DENY
X-Content-Type-Options nosniff
Referrer-Policy same-origin
Content-Encoding gzip
X-Cloud-Trace-Context 63292b2cff81611e11216fce9381ebd4
Date Thu, 25 Mar 2021 13:55:28 GMT
Server Google Frontend
Cache-Control private
Alt-Svc h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
Transfer-Encoding chunked
Response Body
{"success": 200, "time": "3 seconds", "object": {"detected_image": true, "tail_present": false, "smaller_tail": false, "tail_count": 0, "class_label": "Caenis", "confidence": 0.9576908946037292, "predicted_count": 1}}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Caenis image 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
post an image and get results back
Request Information
Request Method: POST
Request URL: https://aquality2-306820.nw.r.appspot.com/ai_model/detect_image/
Response Information
Response Code: 500 - Internal Server Error
Mean time per request: 5.5s
Mean size per request: 323B
Test Pass Percentage
0 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token e54ebebe-d6e1-4a8d-9b61-2c0946a589c1
Host aquality2-306820.nw.r.appspot.com
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------171220297451212703997065
Content-Length 53262
Request Body
{"image":"/C:/Users/DELL/Desktop/images/04heptagenia.jpg","image64":"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"}
Response Headers
Header NameHeader Value
X-Cloud-Trace-Context 5da923867908d7c35f0435d3546d02b4
Date Thu, 25 Mar 2021 13:55:34 GMT
Content-Type text/html; charset=UTF-8
Server Google Frontend
Content-Length 323
Alt-Svc h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
Response Body

        <html><head>
        <meta http-equiv="content-type" content="text/html;charset=utf-8">
        <title>500 Server Error</title>
        </head>
        <body text=#000000 bgcolor=#ffffff>
        <h1>Error: Server Error</h1>
        <h2>The server encountered an error and could not complete your request.<p>Please try again in 30 seconds.</h2>
        <h2></h2>
        </body></html>
Test Information
NamePassedFailedSkipped
Status test 0 1 0
Caenis image 0 1 0
Total 0 2 0
Test Failures
Test NameAssertion Error
Status test 
expected response to have status code 200 but got 500
Caenis image 
Unexpected token '<' at 2:1
        <html><head>
        ^
Request Description
post an image and get results back
Request Information
Request Method: POST
Request URL: https://aquality2-306820.nw.r.appspot.com/ai_model/detect_image/
Response Information
Response Code: 200 - OK
Mean time per request: 9.8s
Mean size per request: 207B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 8e039e35-90ef-4785-8558-3003d387470c
Host aquality2-306820.nw.r.appspot.com
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------435195904471073547709551
Content-Length 185914
Request Body
{"image":"/C:/Users/DELL/Desktop/images/05rhithrogena.jpg","image64":"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"}
Response Headers
Header NameHeader Value
Content-Type application/json
Vary Accept-Encoding
X-Frame-Options DENY
X-Content-Type-Options nosniff
Referrer-Policy same-origin
Content-Encoding gzip
X-Cloud-Trace-Context c84c10f1c3e2f02d7fe576f8f56804f9;o=1
Date Thu, 25 Mar 2021 13:55:44 GMT
Server Google Frontend
Cache-Control private
Alt-Svc h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
Transfer-Encoding chunked
Response Body
{"success": 200, "time": "2 seconds", "object": {"detected_image": true, "tail_present": false, "smaller_tail": false, "tail_count": 0, "class_label": "Rhithrogena", "confidence": 1.0, "predicted_count": 1}}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Caenis image 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
post an image and get results back
Request Information
Request Method: POST
Request URL: https://aquality2-306820.nw.r.appspot.com/ai_model/detect_image/
Response Information
Response Code: 200 - OK
Mean time per request: 3.9s
Mean size per request: 213B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token f32c27b6-c869-4827-8467-29bb8e9a1388
Host aquality2-306820.nw.r.appspot.com
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------028902213901508494747386
Content-Length 31994
Request Body
{"image":"/C:/Users/DELL/Desktop/images/06serratella_ignita.jpg","image64":"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"}
Response Headers
Header NameHeader Value
Content-Type application/json
Vary Accept-Encoding
X-Frame-Options DENY
X-Content-Type-Options nosniff
Referrer-Policy same-origin
Content-Encoding gzip
X-Cloud-Trace-Context 487a53270ff4296fb918e1a2692b01e2
Date Thu, 25 Mar 2021 13:55:48 GMT
Server Google Frontend
Cache-Control private
Alt-Svc h3-29=":443"; ma=2592000,h3-T051=":443"; ma=2592000,h3-Q050=":443"; ma=2592000,h3-Q046=":443"; ma=2592000,h3-Q043=":443"; ma=2592000,quic=":443"; ma=2592000; v="46,43"
Transfer-Encoding chunked
Response Body
{"success": 200, "time": "2 seconds", "object": {"detected_image": true, "tail_present": false, "smaller_tail": false, "tail_count": 0, "class_label": "Serratella Ignita", "confidence": 1.0, "predicted_count": 1}}
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Caenis image 1 0 0
Total 2 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 54.001271, "longitude": -6.393078, "ph": 6.9, "temp": 15 }
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/samplesave
Response Information
Response Code: 200 - OK
Mean time per request: 877ms
Mean size per request: 66B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
Content-Type text/plain
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 2fb53081-06eb-4de5-8752-7284dd04f354
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Length 131219
Request Body
{
            "data_get": {
                "sample_score": 7,
                "sample_user": "lisa",
                "sample_ph": 1.0,
                "sample_tmp": 5.0,
                "sample_river_id":3510,
                "sample_survey":{"surveyData":[{"survey":{"pt_large_stones":{"optionText":"None","value":"none"},"pt_gravel":{"optionText":"None","value":"none"},"pt_sand":{"optionText":"None","value":"none"},"pt_silt_mud":{"optionText":"None","value":"none"},"degree_silt":{"optionText":"Clean","value":"clean"},"depth_mud":{"optionText":"< 1 cm","value":"less than one"},"farm_animals_selection":{"optionText":"Full Access","value":"full access"},"farm_animals_text":"sds","describe_grassland":{"optionText":"Present","value":"present"},"describe_tillage_crops":{"optionText":"Present","value":"present"},"describe_urban":{"optionText":"Present","value":"present"},"describe_forest":{"optionText":"Present","value":"present"},"describe_bog_heath_moorland":{"optionText":"Present","value":"present"},"water_clarity":{"optionText":"Clear","value":"clear"},"rubish_in_stream":{"optionText":"No","value":"no"},"water_velocity":{"optionText":"Present","value":"present"},"riffle_glide_pool":{"optionText":"Present","value":"present"},"select_match_urban_suburban":{"optionText":"Present","value":"present"},"select_match_nativewoodland_moorland":{"optionText":"Present","value":"present"},"select_match_presence_trees":{"optionText":"Present","value":"present"},"select_match_grassland_crops":{"optionText":"Present","value":"present"}}}]}
            },
            "insect_list": [
                {
                    "insect_name": "Rhyacophila",
                    "amount": 150
                },
                {
                    "insect_name": "Amphinemura",
                    "amount": 10
                },
                {
                    "insect_name": "Isoperla",
                    "amount": 90
                },
                {
                    "insect_name": "Rhithrogena Semicolorata",
                    "amount": 250
                },
                {
                    "insect_name": "Heptagenia",
                    "amount": 30
                },
                {
                    "insect_name": "Ephemera Danica",
                    "amount": 80
                },
                {
                    "insect_name": "Caenis",
                    "amount": 50
                }
            ],
            "insectsImage":{
                "insectPhoto":["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"]
            },
            "surrounding":{
                "surveyPhotos":["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"]
            }
        }
Response Headers
Header NameHeader Value
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:49 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
X-Content-Type-Options nosniff
Content-Length 66
Connection keep-alive
Response Body
{"status_code": 201, "message": "store_success", "sample_id": 271}
Test Information
NamePassedFailedSkipped
Setatus and Message test 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 54.001271, "longitude": -6.393078, "ph": 6.9, "temp": 15 }
Request Information
Request Method: DELETE
Request URL: https://cccmi-aquality.tk/aquality_server/samplerecord/271/?username=lisa
Response Information
Response Code: 204 - No Content
Mean time per request: 114ms
Mean size per request: 0B
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
Content-Type text/plain
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token 2f903f1f-2279-457a-a004-19f686c8b71d
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Length 2354
Request Body
{
            "data_get": {
                "sample_score": 7,
                "sample_user": "lisa",
                "sample_ph": 1.0,
                "sample_tmp": 5.0,
                "sample_river_id":3510,
                "sample_survey":{"surveyData":[{"survey":{"pt_large_stones":{"optionText":"None","value":"none"},"pt_gravel":{"optionText":"None","value":"none"},"pt_sand":{"optionText":"None","value":"none"},"pt_silt_mud":{"optionText":"None","value":"none"},"degree_silt":{"optionText":"Clean","value":"clean"},"depth_mud":{"optionText":"< 1 cm","value":"less than one"},"farm_animals_selection":{"optionText":"Full Access","value":"full access"},"farm_animals_text":"sds","describe_grassland":{"optionText":"Present","value":"present"},"describe_tillage_crops":{"optionText":"Present","value":"present"},"describe_urban":{"optionText":"Present","value":"present"},"describe_forest":{"optionText":"Present","value":"present"},"describe_bog_heath_moorland":{"optionText":"Present","value":"present"},"water_clarity":{"optionText":"Clear","value":"clear"},"rubish_in_stream":{"optionText":"No","value":"no"},"water_velocity":{"optionText":"Present","value":"present"},"riffle_glide_pool":{"optionText":"Present","value":"present"},"select_match_urban_suburban":{"optionText":"Present","value":"present"},"select_match_nativewoodland_moorland":{"optionText":"Present","value":"present"},"select_match_presence_trees":{"optionText":"Present","value":"present"},"select_match_grassland_crops":{"optionText":"Present","value":"present"}}}]}
            },
            "insect_list": [
                {
                    "insect_name": "Rhyacophila",
                    "amount": 150
                },
                {
                    "insect_name": "Amphinemura",
                    "amount": 10
                },
                {
                    "insect_name": "Isoperla",
                    "amount": 90
                },
                {
                    "insect_name": "Rhithrogena Semicolorata",
                    "amount": 250
                },
                {
                    "insect_name": "Heptagenia",
                    "amount": 30
                },
                {
                    "insect_name": "Ephemera Danica",
                    "amount": 80
                },
                {
                    "insect_name": "Caenis",
                    "amount": 50
                }
            ],
            "insectsImage":{
                "insectPhoto":["file:///C:/Users/sur.jpg"]
            },
            "surrounding":{
                "surveyPhotos":["file://C:/Users/sur.jpg"]
            }
        }
Response Headers
Header NameHeader Value
Allow GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length 0
Date Thu, 25 Mar 2021 13:55:49 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Connection keep-alive
Response Body
No Response Body for this request
Test Information
NamePassedFailedSkipped
Setatus test 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Information
Request Method: POST
Request URL: https://cccmi-aquality.tk/aquality_server/sampledetail
Response Information
Response Code: 500 - Internal Server Error
Mean time per request: 296ms
Mean size per request: 71.25KB
Test Pass Percentage
100 %
Request Headers
Header NameHeader Value
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token da9c8dc5-3509-416a-ba32-347429819d7b
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Type multipart/form-data; boundary=--------------------------251206450802947033753881
Content-Length 167
Request Body
{"sample_id":"222"}
Response Headers
Header NameHeader Value
Content-Type text/html
Date Thu, 25 Mar 2021 13:55:49 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Cookie
X-Content-Type-Options nosniff
Content-Length 72961
Connection keep-alive
Response Body
<!DOCTYPE html>
        <html lang="en">
        <head>
          <meta http-equiv="content-type" content="text/html; charset=utf-8">
          <meta name="robots" content="NONE,NOARCHIVE">
          <title>DoesNotExist
                  at /aquality_server/sampledetail</title>
          <style type="text/css">
            html * { padding:0; margin:0; }
            body * { padding:10px 20px; }
            body * * { padding:0; }
            body { font:small sans-serif; background-color:#fff; color:#000; }
            body>div { border-bottom:1px solid #ddd; }
            h1 { font-weight:normal; }
            h2 { margin-bottom:.8em; }
            h3 { margin:1em 0 .5em 0; }
            h4 { margin:0 0 .5em 0; font-weight: normal; }
            code, pre { font-size: 100%; white-space: pre-wrap; }
            table { border:1px solid #ccc; border-collapse: collapse; width:100%; background:white; }
            tbody td, tbody th { vertical-align:top; padding:2px 3px; }
            thead th {
              padding:1px 6px 1px 3px; background:#fefefe; text-align:left;
              font-weight:normal; font-size:11px; border:1px solid #ddd;
            }
            tbody th { width:12em; text-align:right; color:#666; padding-right:.5em; }
            table.vars { margin:5px 0 2px 40px; }
            table.vars td, table.req td { font-family:monospace; }
            table td.code { width:100%; }
            table td.code pre { overflow:hidden; }
            table.source th { color:#666; }
            table.source td { font-family:monospace; white-space:pre; border-bottom:1px solid #eee; }
            ul.traceback { list-style-type:none; color: #222; }
            ul.traceback li.frame { padding-bottom:1em; color:#4f4f4f; }
            ul.traceback li.user { background-color:#e0e0e0; color:#000 }
            div.context { padding:10px 0; overflow:hidden; }
            div.context ol { padding-left:30px; margin:0 10px; list-style-position: inside; }
            div.context ol li { font-family:monospace; white-space:pre; color:#777; cursor:pointer; padding-left: 2px; }
            div.context ol li pre { display:inline; }
            div.context ol.context-line li { color:#464646; background-color:#dfdfdf; padding: 3px 2px; }
            div.context ol.context-line li span { position:absolute; right:32px; }
            .user div.context ol.context-line li { background-color:#bbb; color:#000; }
            .user div.context ol li { color:#666; }
            div.commands { margin-left: 40px; }
            div.commands a { color:#555; text-decoration:none; }
            .user div.commands a { color: black; }
            #summary { background: #ffc; }
            #summary h2 { font-weight: normal; color: #666; }
            #explanation { background:#eee; }
            #template, #template-not-exist { background:#f6f6f6; }
            #template-not-exist ul { margin: 0 0 10px 20px; }
            #template-not-exist .postmortem-section { margin-bottom: 3px; }
            #unicode-hint { background:#eee; }
            #traceback { background:#eee; }
            #requestinfo { background:#f6f6f6; padding-left:120px; }
            #summary table { border:none; background:transparent; }
            #requestinfo h2, #requestinfo h3 { position:relative; margin-left:-100px; }
            #requestinfo h3 { margin-bottom:-1em; }
            .error { background: #ffc; }
            .specific { color:#cc3300; font-weight:bold; }
            h2 span.commands { font-size:.7em; font-weight:normal; }
            span.commands a:link {color:#5E5694;}
            pre.exception_value { font-family: sans-serif; color: #575757; font-size: 1.5em; margin: 10px 0 10px 0; }
            .append-bottom { margin-bottom: 10px; }
            .fname { user-select: all; }
          </style>
          
          <script>
            function hideAll(elems) {
              for (var e = 0; e < elems.length; e++) {
                elems[e].style.display = 'none';
              }
            }
            window.onload = function() {
              hideAll(document.querySelectorAll('table.vars'));
              hideAll(document.querySelectorAll('ol.pre-context'));
              hideAll(document.querySelectorAll('ol.post-context'));
              hideAll(document.querySelectorAll('div.pastebin'));
            }
            function toggle() {
              for (var i = 0; i < arguments.length; i++) {
                var e = document.getElementById(arguments[i]);
                if (e) {
                  e.style.display = e.style.display == 'none' ? 'block': 'none';
                }
              }
              return false;
            }
            function varToggle(link, id) {
              toggle('v' + id);
              var s = link.getElementsByTagName('span')[0];
              var uarr = String.fromCharCode(0x25b6);
              var darr = String.fromCharCode(0x25bc);
              s.textContent = s.textContent == uarr ? darr : uarr;
              return false;
            }
            function switchPastebinFriendly(link) {
              s1 = "Switch to copy-and-paste view";
              s2 = "Switch back to interactive view";
              link.textContent = link.textContent.trim() == s1 ? s2: s1;
              toggle('browserTraceback', 'pastebinTraceback');
              return false;
            }
          </script>
          
        </head>
        <body>
        <div id="summary">
          <h1>DoesNotExist
               at /aquality_server/sampledetail</h1>
          <pre class="exception_value">SampleRecord matching query does not exist.</pre>
          <table class="meta">
        
            <tr>
              <th>Request Method:</th>
              <td>POST</td>
            </tr>
            <tr>
              <th>Request URL:</th>
              <td>https://cccmi-aquality.tk/aquality_server/sampledetail</td>
            </tr>
        
            <tr>
              <th>Django Version:</th>
              <td>3.1.5</td>
            </tr>
        
            <tr>
              <th>Exception Type:</th>
              <td>DoesNotExist</td>
            </tr>
        
        
            <tr>
              <th>Exception Value:</th>
              <td><pre>SampleRecord matching query does not exist.</pre></td>
            </tr>
        
        
            <tr>
              <th>Exception Location:</th>
              <td><span class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/db/models/query.py</span>, line 431, in get</td>
            </tr>
        
            <tr>
              <th>Python Executable:</th>
              <td>/var/app/venv/staging-LQM1lest/bin/python</td>
            </tr>
            <tr>
              <th>Python Version:</th>
              <td>3.7.9</td>
            </tr>
            <tr>
              <th>Python Path:</th>
              <td><pre>[&#x27;/var/app/current&#x27;,
         &#x27;/var/app/venv/staging-LQM1lest/bin&#x27;,
         &#x27;/var/app/venv/staging-LQM1lest/bin&#x27;,
         &#x27;/usr/lib64/python37.zip&#x27;,
         &#x27;/usr/lib64/python3.7&#x27;,
         &#x27;/usr/lib64/python3.7/lib-dynload&#x27;,
         &#x27;/var/app/venv/staging-LQM1lest/lib64/python3.7/site-packages&#x27;,
         &#x27;/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages&#x27;]</pre></td>
            </tr>
            <tr>
              <th>Server time:</th>
              <td>Thu, 25 Mar 2021 13:55:49 +0000</td>
            </tr>
          </table>
        </div>
        
        
        
        
        <div id="traceback">
          <h2>Traceback <span class="commands"><a href="#" onclick="return switchPastebinFriendly(this);">
            Switch to copy-and-paste view</a></span>
          </h2>
          <div id="browserTraceback">
            <ul class="traceback">
              
                
                <li class="frame django">
                  <code class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/core/handlers/exception.py</code>, line 47, in inner
        
                  
                    <div class="context" id="c140713866942736">
                      
                        <ol start="40" class="pre-context" id="pre140713866942736">
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>                response = await sync_to_async(response_for_exception, thread_sensitive=False)(request, exc)</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>            return response</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>        return inner</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>    else:</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>        @wraps(get_response)</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>        def inner(request):</pre></li>
                        
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>            try:</pre></li>
                        
                        </ol>
                      
                      <ol start="47" class="context-line">
                        <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>                response = get_response(request)</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='48' class="post-context" id="post140713866942736">
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>            except Exception as exc:</pre></li>
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>                response = response_for_exception(request, exc)</pre></li>
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>            return response</pre></li>
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre>        return inner</pre></li>
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre></pre></li>
                          
                          <li onclick="toggle('pre140713866942736', 'post140713866942736')"><pre></pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713866942736')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713866942736">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>exc</td>
                            <td class="code"><pre>DoesNotExist(&#x27;SampleRecord matching query does not exist.&#x27;)</pre></td>
                          </tr>
                        
                          <tr>
                            <td>get_response</td>
                            <td class="code"><pre>&lt;bound method BaseHandler._get_response of &lt;django.core.handlers.wsgi.WSGIHandler object at 0x7ffa85353710&gt;&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>request</td>
                            <td class="code"><pre>&lt;WSGIRequest: POST &#x27;/aquality_server/sampledetail&#x27;&gt;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
                
                <li class="frame django">
                  <code class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/core/handlers/base.py</code>, line 181, in _get_response
        
                  
                    <div class="context" id="c140713867312016">
                      
                        <ol start="174" class="pre-context" id="pre140713867312016">
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>        if response is None:</pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>            wrapped_callback = self.make_view_atomic(callback)</pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>            # If it is an asynchronous view, run it in a subthread.</pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>            if asyncio.iscoroutinefunction(wrapped_callback):</pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>                wrapped_callback = async_to_sync(wrapped_callback)</pre></li>
                        
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>            try:</pre></li>
                        
                        </ol>
                      
                      <ol start="181" class="context-line">
                        <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>                response = wrapped_callback(request, *callback_args, **callback_kwargs)</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='182' class="post-context" id="post140713867312016">
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>            except Exception as e:</pre></li>
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>                response = self.process_exception_by_middleware(e, request)</pre></li>
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>                if response is None:</pre></li>
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>                    raise</pre></li>
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre></pre></li>
                          
                          <li onclick="toggle('pre140713867312016', 'post140713867312016')"><pre>        # Complain if the view returned None (a common error).</pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713867312016')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713867312016">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>callback</td>
                            <td class="code"><pre>&lt;function get_sample_record at 0x7ffa81274d40&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>callback_args</td>
                            <td class="code"><pre>()</pre></td>
                          </tr>
                        
                          <tr>
                            <td>callback_kwargs</td>
                            <td class="code"><pre>{}</pre></td>
                          </tr>
                        
                          <tr>
                            <td>middleware_method</td>
                            <td class="code"><pre>&lt;bound method CsrfViewMiddleware.process_view of &lt;django.middleware.csrf.CsrfViewMiddleware object at 0x7ffa81edee50&gt;&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>request</td>
                            <td class="code"><pre>&lt;WSGIRequest: POST &#x27;/aquality_server/sampledetail&#x27;&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>response</td>
                            <td class="code"><pre>None</pre></td>
                          </tr>
                        
                          <tr>
                            <td>self</td>
                            <td class="code"><pre>&lt;django.core.handlers.wsgi.WSGIHandler object at 0x7ffa85353710&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>wrapped_callback</td>
                            <td class="code"><pre>&lt;function get_sample_record at 0x7ffa81274d40&gt;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
                
                <li class="frame django">
                  <code class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/views/decorators/csrf.py</code>, line 54, in wrapped_view
        
                  
                    <div class="context" id="c140713867312816">
                      
                        <ol start="47" class="pre-context" id="pre140713867312816">
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>def csrf_exempt(view_func):</pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    &quot;&quot;&quot;Mark a view function as being exempt from the CSRF view protection.&quot;&quot;&quot;</pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    # view_func.csrf_exempt = True would also work, but decorators are nicer</pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    # if they don&#x27;t have side effects, so return a new function.</pre></li>
                        
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    def wrapped_view(*args, **kwargs):</pre></li>
                        
                        </ol>
                      
                      <ol start="54" class="context-line">
                        <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>        return view_func(*args, **kwargs)</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='55' class="post-context" id="post140713867312816">
                          
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    wrapped_view.csrf_exempt = True</pre></li>
                          
                          <li onclick="toggle('pre140713867312816', 'post140713867312816')"><pre>    return wraps(view_func)(wrapped_view)</pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713867312816')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713867312816">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>args</td>
                            <td class="code"><pre>(&lt;WSGIRequest: POST &#x27;/aquality_server/sampledetail&#x27;&gt;,)</pre></td>
                          </tr>
                        
                          <tr>
                            <td>kwargs</td>
                            <td class="code"><pre>{}</pre></td>
                          </tr>
                        
                          <tr>
                            <td>view_func</td>
                            <td class="code"><pre>&lt;function get_sample_record at 0x7ffa812a2d40&gt;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
                
                <li class="frame user">
                  <code class="fname">/var/app/current/aquality_server/views/insectinputviews.py</code>, line 16, in get_sample_record
        
                  
                    <div class="context" id="c140713867312416">
                      
                        <ol start="9" class="pre-context" id="pre140713867312416">
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>from django.http import HttpResponse, JsonResponse</pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>from django.views.decorators.csrf import csrf_exempt</pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>@csrf_exempt</pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>def get_sample_record(request):</pre></li>
                        
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    sample_id_get = request.POST[&#x27;sample_id&#x27;]</pre></li>
                        
                        </ol>
                      
                      <ol start="16" class="context-line">
                        <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    sample_record = SampleRecord.objects.get(sample_id=sample_id_get)</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='17' class="post-context" id="post140713867312416">
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    insect_list = SampleRecordInsectDetail.objects.filter(sample_record_data=sample_record)</pre></li>
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    insect_image_list = AllInsectUserUpload.objects.filter(sample_record_data=sample_record)</pre></li>
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    environment_image_list = RiverEnvironmentImage.objects.filter(sample_record_data=sample_record)</pre></li>
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre></pre></li>
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>    return JsonResponse({</pre></li>
                          
                          <li onclick="toggle('pre140713867312416', 'post140713867312416')"><pre>        &#x27;data_get&#x27;: SampleRecordDataSerializer(sample_record).data,</pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713867312416')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713867312416">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>request</td>
                            <td class="code"><pre>&lt;WSGIRequest: POST &#x27;/aquality_server/sampledetail&#x27;&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>sample_id_get</td>
                            <td class="code"><pre>&#x27;271&#x27;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
                
                <li class="frame django">
                  <code class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/db/models/manager.py</code>, line 85, in manager_method
        
                  
                    <div class="context" id="c140713778368016">
                      
                        <ol start="78" class="pre-context" id="pre140713778368016">
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>    def check(self, **kwargs):</pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>        return []</pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre></pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>    @classmethod</pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>    def _get_queryset_methods(cls, queryset_class):</pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>        def create_method(name, method):</pre></li>
                        
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>            def manager_method(self, *args, **kwargs):</pre></li>
                        
                        </ol>
                      
                      <ol start="85" class="context-line">
                        <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>                return getattr(self.get_queryset(), name)(*args, **kwargs)</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='86' class="post-context" id="post140713778368016">
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>            manager_method.__name__ = method.__name__</pre></li>
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>            manager_method.__doc__ = method.__doc__</pre></li>
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>            return manager_method</pre></li>
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre></pre></li>
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>        new_methods = {}</pre></li>
                          
                          <li onclick="toggle('pre140713778368016', 'post140713778368016')"><pre>        for name, method in inspect.getmembers(queryset_class, predicate=inspect.isfunction):</pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713778368016')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713778368016">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>args</td>
                            <td class="code"><pre>()</pre></td>
                          </tr>
                        
                          <tr>
                            <td>kwargs</td>
                            <td class="code"><pre>{&#x27;sample_id&#x27;: &#x27;271&#x27;}</pre></td>
                          </tr>
                        
                          <tr>
                            <td>name</td>
                            <td class="code"><pre>&#x27;get&#x27;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>self</td>
                            <td class="code"><pre>&lt;django.db.models.manager.Manager object at 0x7ffa80193ad0&gt;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
                
                <li class="frame django">
                  <code class="fname">/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/db/models/query.py</code>, line 431, in get
        
                  
                    <div class="context" id="c140713781235792">
                      
                        <ol start="424" class="pre-context" id="pre140713781235792">
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            clone.query.set_limits(high=limit)</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>        num = len(clone)</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>        if num == 1:</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            return clone._result_cache[0]</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>        if not num:</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            raise self.model.DoesNotExist(</pre></li>
                        
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>                &quot;%s matching query does not exist.&quot; %</pre></li>
                        
                        </ol>
                      
                      <ol start="431" class="context-line">
                        <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>                self.model._meta.object_name</pre> <span>…</span></li>
                      </ol>
                      
                        <ol start='432' class="post-context" id="post140713781235792">
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            )</pre></li>
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>        raise self.model.MultipleObjectsReturned(</pre></li>
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            &#x27;get() returned more than one %s -- it returned %s!&#x27; % (</pre></li>
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>                self.model._meta.object_name,</pre></li>
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>                num if not limit or num &lt; limit else &#x27;more than %s&#x27; % (limit - 1),</pre></li>
                          
                          <li onclick="toggle('pre140713781235792', 'post140713781235792')"><pre>            )</pre></li>
                          
                      </ol>
                      
                    </div>
                  
        
                  
                    <div class="commands">
                        
                            <a href="#" onclick="return varToggle(this, '140713781235792')"><span>&#x25b6;</span> Local vars</a>
                        
                    </div>
                    <table class="vars" id="v140713781235792">
                      <thead>
                        <tr>
                          <th>Variable</th>
                          <th>Value</th>
                        </tr>
                      </thead>
                      <tbody>
                        
                          <tr>
                            <td>args</td>
                            <td class="code"><pre>()</pre></td>
                          </tr>
                        
                          <tr>
                            <td>clone</td>
                            <td class="code"><pre>&lt;QuerySet []&gt;</pre></td>
                          </tr>
                        
                          <tr>
                            <td>kwargs</td>
                            <td class="code"><pre>{&#x27;sample_id&#x27;: &#x27;271&#x27;}</pre></td>
                          </tr>
                        
                          <tr>
                            <td>limit</td>
                            <td class="code"><pre>21</pre></td>
                          </tr>
                        
                          <tr>
                            <td>num</td>
                            <td class="code"><pre>0</pre></td>
                          </tr>
                        
                          <tr>
                            <td>self</td>
                            <td class="code"><pre>&lt;QuerySet [&lt;SampleRecord: Sample247At Date 2021-03-23 23:41:35.885287+00:00&gt;, &lt;SampleRecord: Sample249At Date 2021-03-24 09:33:19.070827+00:00&gt;, &lt;SampleRecord: Sample250At Date 2021-03-24 10:14:07.410536+00:00&gt;, &lt;SampleRecord: Sample37At Date 2021-02-15 16:03:28.809378+00:00&gt;, &lt;SampleRecord: Sample38At Date 2021-02-15 16:04:11.956986+00:00&gt;, &lt;SampleRecord: Sample39At Date 2021-02-16 17:53:47.854103+00:00&gt;, &lt;SampleRecord: Sample40At Date 2021-02-17 12:36:04.131601+00:00&gt;, &lt;SampleRecord: Sample41At Date 2021-02-17 12:36:41.765340+00:00&gt;, &lt;SampleRecord: Sample42At Date 2021-02-17 12:39:23.354216+00:00&gt;, &lt;SampleRecord: Sample43At Date 2021-02-17 12:43:52.134087+00:00&gt;, &lt;SampleRecord: Sample44At Date 2021-02-17 12:54:38.054940+00:00&gt;, &lt;SampleRecord: Sample45At Date 2021-02-17 13:05:14.467554+00:00&gt;, &lt;SampleRecord: Sample46At Date 2021-02-17 13:06:54.349275+00:00&gt;, &lt;SampleRecord: Sample47At Date 2021-02-17 14:22:57.263513+00:00&gt;, &lt;SampleRecord: Sample48At Date 2021-02-17 14:23:30.978530+00:00&gt;, &lt;SampleRecord: Sample49At Date 2021-02-17 14:23:42.842842+00:00&gt;, &lt;SampleRecord: Sample50At Date 2021-02-17 14:24:00.816167+00:00&gt;, &lt;SampleRecord: Sample51At Date 2021-02-17 14:24:49.863844+00:00&gt;, &lt;SampleRecord: Sample52At Date 2021-02-17 14:29:17.309102+00:00&gt;, &lt;SampleRecord: Sample53At Date 2021-02-17 14:29:21.766410+00:00&gt;, &#x27;...(remaining elements truncated)...&#x27;]&gt;</pre></td>
                          </tr>
                        
                      </tbody>
                    </table>
                  
                </li>
              
            </ul>
          </div>
          <form action="http://dpaste.com/" name="pasteform" id="pasteform" method="post">
        
          <div id="pastebinTraceback" class="pastebin">
            <input type="hidden" name="language" value="PythonConsole">
            <input type="hidden" name="title"
              value="DoesNotExist at /aquality_server/sampledetail">
            <input type="hidden" name="source" value="Django Dpaste Agent">
            <input type="hidden" name="poster" value="Django">
            <textarea name="content" id="traceback_area" cols="140" rows="25">
        Environment:
        
        
        Request Method: POST
        Request URL: https://cccmi-aquality.tk/aquality_server/sampledetail
        
        Django Version: 3.1.5
        Python Version: 3.7.9
        Installed Applications:
        [&#x27;simpleui&#x27;,
         &#x27;aquality.apps.AqualityConfig&#x27;,
         &#x27;aquality_server.apps.AqualityServerConfig&#x27;,
         &#x27;aquality_admin.apps.AqualityAdminConfig&#x27;,
         &#x27;django.contrib.admin&#x27;,
         &#x27;django.contrib.auth&#x27;,
         &#x27;django.contrib.contenttypes&#x27;,
         &#x27;django.contrib.sessions&#x27;,
         &#x27;django.contrib.messages&#x27;,
         &#x27;django.contrib.staticfiles&#x27;,
         &#x27;django_filters&#x27;,
         &#x27;rest_framework&#x27;,
         &#x27;storages&#x27;]
        Installed Middleware:
        [&#x27;django.middleware.security.SecurityMiddleware&#x27;,
         &#x27;django.contrib.sessions.middleware.SessionMiddleware&#x27;,
         &#x27;django.middleware.common.CommonMiddleware&#x27;,
         &#x27;django.middleware.csrf.CsrfViewMiddleware&#x27;,
         &#x27;django.contrib.auth.middleware.AuthenticationMiddleware&#x27;,
         &#x27;django.contrib.messages.middleware.MessageMiddleware&#x27;]
        
        
        
        Traceback (most recent call last):
          File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/core/handlers/exception.py", line 47, in inner
            response = get_response(request)
          File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/core/handlers/base.py", line 181, in _get_response
            response = wrapped_callback(request, *callback_args, **callback_kwargs)
          File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/views/decorators/csrf.py", line 54, in wrapped_view
            return view_func(*args, **kwargs)
          File "/var/app/current/aquality_server/views/insectinputviews.py", line 16, in get_sample_record
            sample_record = SampleRecord.objects.get(sample_id=sample_id_get)
          File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/db/models/manager.py", line 85, in manager_method
            return getattr(self.get_queryset(), name)(*args, **kwargs)
          File "/var/app/venv/staging-LQM1lest/lib/python3.7/site-packages/django/db/models/query.py", line 431, in get
            self.model._meta.object_name
        
        Exception Type: DoesNotExist at /aquality_server/sampledetail
        Exception Value: SampleRecord matching query does not exist.
        </textarea>
          <br><br>
          <input type="submit" value="Share this traceback on a public website">
          </div>
        </form>
        </div>
        
        
        
        <div id="requestinfo">
          <h2>Request information</h2>
        
        
          
            <h3 id="user-info">USER</h3>
            <p>AnonymousUser</p>
          
        
          <h3 id="get-info">GET</h3>
          
            <p>No GET data</p>
          
        
          <h3 id="post-info">POST</h3>
          
            <table class="req">
              <thead>
                <tr>
                  <th>Variable</th>
                  <th>Value</th>
                </tr>
              </thead>
              <tbody>
                
                  <tr>
                    <td>sample_id</td>
                    <td class="code"><pre>&#x27;271&#x27;</pre></td>
                  </tr>
                
              </tbody>
            </table>
          
          <h3 id="files-info">FILES</h3>
          
            <p>No FILES data</p>
          
        
        
          <h3 id="cookie-info">COOKIES</h3>
          
            <p>No cookie data</p>
          
        
          <h3 id="meta-info">META</h3>
          <table class="req">
            <thead>
              <tr>
                <th>Variable</th>
                <th>Value</th>
              </tr>
            </thead>
            <tbody>
              
                <tr>
                  <td>CONTENT_LENGTH</td>
                  <td class="code"><pre>&#x27;167&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CONTENT_TYPE</td>
                  <td class="code"><pre>(&#x27;multipart/form-data; &#x27;
         &#x27;boundary=--------------------------251206450802947033753881&#x27;)</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_ACCEPT</td>
                  <td class="code"><pre>&#x27;*/*&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_ACCEPT_ENCODING</td>
                  <td class="code"><pre>&#x27;gzip, deflate, br&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_CACHE_CONTROL</td>
                  <td class="code"><pre>&#x27;no-cache&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_CONNECTION</td>
                  <td class="code"><pre>&#x27;upgrade&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_HOST</td>
                  <td class="code"><pre>&#x27;cccmi-aquality.tk&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_POSTMAN_TOKEN</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_USER_AGENT</td>
                  <td class="code"><pre>&#x27;PostmanRuntime/7.26.10&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_X_FORWARDED_FOR</td>
                  <td class="code"><pre>&#x27;20.185.83.169, 172.31.29.69&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_X_FORWARDED_PORT</td>
                  <td class="code"><pre>&#x27;443&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_X_FORWARDED_PROTO</td>
                  <td class="code"><pre>&#x27;https&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>HTTP_X_REAL_IP</td>
                  <td class="code"><pre>&#x27;172.31.29.69&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>PATH_INFO</td>
                  <td class="code"><pre>&#x27;/aquality_server/sampledetail&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>QUERY_STRING</td>
                  <td class="code"><pre>&#x27;&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>RAW_URI</td>
                  <td class="code"><pre>&#x27;/aquality_server/sampledetail&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>REMOTE_ADDR</td>
                  <td class="code"><pre>&#x27;127.0.0.1&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>REMOTE_PORT</td>
                  <td class="code"><pre>&#x27;53902&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>REQUEST_METHOD</td>
                  <td class="code"><pre>&#x27;POST&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SCRIPT_NAME</td>
                  <td class="code"><pre>&#x27;&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SERVER_NAME</td>
                  <td class="code"><pre>&#x27;127.0.0.1&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SERVER_PORT</td>
                  <td class="code"><pre>&#x27;8000&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SERVER_PROTOCOL</td>
                  <td class="code"><pre>&#x27;HTTP/1.1&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SERVER_SOFTWARE</td>
                  <td class="code"><pre>&#x27;gunicorn/20.0.4&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>gunicorn.socket</td>
                  <td class="code"><pre>&lt;socket.socket fd=10, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=0, laddr=(&#x27;127.0.0.1&#x27;, 8000), raddr=(&#x27;127.0.0.1&#x27;, 53902)&gt;</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.errors</td>
                  <td class="code"><pre>&lt;gunicorn.http.wsgi.WSGIErrorsWrapper object at 0x7ffa797b3250&gt;</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.file_wrapper</td>
                  <td class="code"><pre>&lt;class &#x27;gunicorn.http.wsgi.FileWrapper&#x27;&gt;</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.input</td>
                  <td class="code"><pre>&lt;gunicorn.http.body.Body object at 0x7ffa797b3590&gt;</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.input_terminated</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.multiprocess</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.multithread</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.run_once</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.url_scheme</td>
                  <td class="code"><pre>&#x27;https&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>wsgi.version</td>
                  <td class="code"><pre>(1, 0)</pre></td>
                </tr>
              
            </tbody>
          </table>
        
        
          <h3 id="settings-info">Settings</h3>
          <h4>Using settings module <code>Aquality2.settings</code></h4>
          <table class="req">
            <thead>
              <tr>
                <th>Setting</th>
                <th>Value</th>
              </tr>
            </thead>
            <tbody>
              
                <tr>
                  <td>ABSOLUTE_URL_OVERRIDES</td>
                  <td class="code"><pre>{}</pre></td>
                </tr>
              
                <tr>
                  <td>ADMINS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>ALLOWED_HOSTS</td>
                  <td class="code"><pre>[&#x27;127.0.0.1&#x27;,
         &#x27;aquality-server.eba-rxqnbumy.eu-west-1.elasticbeanstalk.com&#x27;,
         &#x27;cccmi-aquality.tk&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>APPEND_SLASH</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>AUTHENTICATION_BACKENDS</td>
                  <td class="code"><pre>[&#x27;django.contrib.auth.backends.ModelBackend&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>AUTH_PASSWORD_VALIDATORS</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AUTH_USER_MODEL</td>
                  <td class="code"><pre>&#x27;auth.User&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_ACCESS_KEY_ID</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_LOCATION</td>
                  <td class="code"><pre>&#x27;static&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_S3_CUSTOM_DOMAIN</td>
                  <td class="code"><pre>&#x27;aquality-server-assets.s3.amazonaws.com&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_S3_OBJECT_PARAMETERS</td>
                  <td class="code"><pre>{&#x27;CacheControl&#x27;: &#x27;max-age=86400&#x27;}</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_SECRET_ACCESS_KEY</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>AWS_STORAGE_BUCKET_NAME</td>
                  <td class="code"><pre>&#x27;aquality-server-assets&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>BASE_DIR</td>
                  <td class="code"><pre>PosixPath(&#x27;/var/app/current&#x27;)</pre></td>
                </tr>
              
                <tr>
                  <td>CACHES</td>
                  <td class="code"><pre>{&#x27;default&#x27;: {&#x27;BACKEND&#x27;: &#x27;django.core.cache.backends.locmem.LocMemCache&#x27;}}</pre></td>
                </tr>
              
                <tr>
                  <td>CACHE_MIDDLEWARE_ALIAS</td>
                  <td class="code"><pre>&#x27;default&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CACHE_MIDDLEWARE_KEY_PREFIX</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CACHE_MIDDLEWARE_SECONDS</td>
                  <td class="code"><pre>600</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_AGE</td>
                  <td class="code"><pre>31449600</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_DOMAIN</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_HTTPONLY</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_NAME</td>
                  <td class="code"><pre>&#x27;csrftoken&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_PATH</td>
                  <td class="code"><pre>&#x27;/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_SAMESITE</td>
                  <td class="code"><pre>&#x27;Lax&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_COOKIE_SECURE</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_FAILURE_VIEW</td>
                  <td class="code"><pre>&#x27;django.views.csrf.csrf_failure&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_HEADER_NAME</td>
                  <td class="code"><pre>&#x27;HTTP_X_CSRFTOKEN&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_TRUSTED_ORIGINS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>CSRF_USE_SESSIONS</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>DATABASES</td>
                  <td class="code"><pre>{&#x27;default&#x27;: {&#x27;ATOMIC_REQUESTS&#x27;: False,
                     &#x27;AUTOCOMMIT&#x27;: True,
                     &#x27;CONN_MAX_AGE&#x27;: 0,
                     &#x27;ENGINE&#x27;: &#x27;django.db.backends.postgresql&#x27;,
                     &#x27;HOST&#x27;: &#x27;database-1.czackjcclaqf.eu-west-1.rds.amazonaws.com&#x27;,
                     &#x27;NAME&#x27;: &#x27;aquality_server&#x27;,
                     &#x27;OPTIONS&#x27;: {},
                     &#x27;PASSWORD&#x27;: &#x27;********************&#x27;,
                     &#x27;PORT&#x27;: &#x27;5432&#x27;,
                     &#x27;TEST&#x27;: {&#x27;CHARSET&#x27;: None,
                              &#x27;COLLATION&#x27;: None,
                              &#x27;MIGRATE&#x27;: True,
                              &#x27;MIRROR&#x27;: None,
                              &#x27;NAME&#x27;: None},
                     &#x27;TIME_ZONE&#x27;: None,
                     &#x27;USER&#x27;: &#x27;postgres&#x27;}}</pre></td>
                </tr>
              
                <tr>
                  <td>DATABASE_ROUTERS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>DATA_UPLOAD_MAX_MEMORY_SIZE</td>
                  <td class="code"><pre>2621440</pre></td>
                </tr>
              
                <tr>
                  <td>DATA_UPLOAD_MAX_NUMBER_FIELDS</td>
                  <td class="code"><pre>1000</pre></td>
                </tr>
              
                <tr>
                  <td>DATETIME_FORMAT</td>
                  <td class="code"><pre>&#x27;N j, Y, P&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DATETIME_INPUT_FORMATS</td>
                  <td class="code"><pre>[&#x27;%Y-%m-%d %H:%M:%S&#x27;,
         &#x27;%Y-%m-%d %H:%M:%S.%f&#x27;,
         &#x27;%Y-%m-%d %H:%M&#x27;,
         &#x27;%m/%d/%Y %H:%M:%S&#x27;,
         &#x27;%m/%d/%Y %H:%M:%S.%f&#x27;,
         &#x27;%m/%d/%Y %H:%M&#x27;,
         &#x27;%m/%d/%y %H:%M:%S&#x27;,
         &#x27;%m/%d/%y %H:%M:%S.%f&#x27;,
         &#x27;%m/%d/%y %H:%M&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>DATE_FORMAT</td>
                  <td class="code"><pre>&#x27;N j, Y&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DATE_INPUT_FORMATS</td>
                  <td class="code"><pre>[&#x27;%Y-%m-%d&#x27;,
         &#x27;%m/%d/%Y&#x27;,
         &#x27;%m/%d/%y&#x27;,
         &#x27;%b %d %Y&#x27;,
         &#x27;%b %d, %Y&#x27;,
         &#x27;%d %b %Y&#x27;,
         &#x27;%d %b, %Y&#x27;,
         &#x27;%B %d %Y&#x27;,
         &#x27;%B %d, %Y&#x27;,
         &#x27;%d %B %Y&#x27;,
         &#x27;%d %B, %Y&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>DEBUG</td>
                  <td class="code"><pre>&#x27;True&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEBUG_PROPAGATE_EXCEPTIONS</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>DECIMAL_SEPARATOR</td>
                  <td class="code"><pre>&#x27;.&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_CHARSET</td>
                  <td class="code"><pre>&#x27;utf-8&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_EXCEPTION_REPORTER</td>
                  <td class="code"><pre>&#x27;django.views.debug.ExceptionReporter&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_EXCEPTION_REPORTER_FILTER</td>
                  <td class="code"><pre>&#x27;django.views.debug.SafeExceptionReporterFilter&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_FILE_STORAGE</td>
                  <td class="code"><pre>&#x27;Aquality2.storage_backends.MediaStorage&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_FROM_EMAIL</td>
                  <td class="code"><pre>&#x27;webmaster@localhost&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_HASHING_ALGORITHM</td>
                  <td class="code"><pre>&#x27;sha256&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_INDEX_TABLESPACE</td>
                  <td class="code"><pre>&#x27;&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DEFAULT_TABLESPACE</td>
                  <td class="code"><pre>&#x27;&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>DISALLOWED_USER_AGENTS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_BACKEND</td>
                  <td class="code"><pre>&#x27;django.core.mail.backends.smtp.EmailBackend&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_HOST</td>
                  <td class="code"><pre>&#x27;localhost&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_HOST_PASSWORD</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_HOST_USER</td>
                  <td class="code"><pre>&#x27;&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_PORT</td>
                  <td class="code"><pre>25</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_SSL_CERTFILE</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_SSL_KEYFILE</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_SUBJECT_PREFIX</td>
                  <td class="code"><pre>&#x27;[Django] &#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_TIMEOUT</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_USE_LOCALTIME</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_USE_SSL</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>EMAIL_USE_TLS</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>FILE_UPLOAD_DIRECTORY_PERMISSIONS</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>FILE_UPLOAD_HANDLERS</td>
                  <td class="code"><pre>[&#x27;django.core.files.uploadhandler.MemoryFileUploadHandler&#x27;,
         &#x27;django.core.files.uploadhandler.TemporaryFileUploadHandler&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>FILE_UPLOAD_MAX_MEMORY_SIZE</td>
                  <td class="code"><pre>2621440</pre></td>
                </tr>
              
                <tr>
                  <td>FILE_UPLOAD_PERMISSIONS</td>
                  <td class="code"><pre>420</pre></td>
                </tr>
              
                <tr>
                  <td>FILE_UPLOAD_TEMP_DIR</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>FIRST_DAY_OF_WEEK</td>
                  <td class="code"><pre>0</pre></td>
                </tr>
              
                <tr>
                  <td>FIXTURE_DIRS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>FORCE_SCRIPT_NAME</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>FORMAT_MODULE_PATH</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>FORM_RENDERER</td>
                  <td class="code"><pre>&#x27;django.forms.renderers.DjangoTemplates&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>GOOGLE_MAPS_API_KEY</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>IGNORABLE_404_URLS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>INSTALLED_APPS</td>
                  <td class="code"><pre>[&#x27;simpleui&#x27;,
         &#x27;aquality.apps.AqualityConfig&#x27;,
         &#x27;aquality_server.apps.AqualityServerConfig&#x27;,
         &#x27;aquality_admin.apps.AqualityAdminConfig&#x27;,
         &#x27;django.contrib.admin&#x27;,
         &#x27;django.contrib.auth&#x27;,
         &#x27;django.contrib.contenttypes&#x27;,
         &#x27;django.contrib.sessions&#x27;,
         &#x27;django.contrib.messages&#x27;,
         &#x27;django.contrib.staticfiles&#x27;,
         &#x27;django_filters&#x27;,
         &#x27;rest_framework&#x27;,
         &#x27;storages&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>INTERNAL_IPS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGES</td>
                  <td class="code"><pre>[(&#x27;af&#x27;, &#x27;Afrikaans&#x27;),
         (&#x27;ar&#x27;, &#x27;Arabic&#x27;),
         (&#x27;ar-dz&#x27;, &#x27;Algerian Arabic&#x27;),
         (&#x27;ast&#x27;, &#x27;Asturian&#x27;),
         (&#x27;az&#x27;, &#x27;Azerbaijani&#x27;),
         (&#x27;bg&#x27;, &#x27;Bulgarian&#x27;),
         (&#x27;be&#x27;, &#x27;Belarusian&#x27;),
         (&#x27;bn&#x27;, &#x27;Bengali&#x27;),
         (&#x27;br&#x27;, &#x27;Breton&#x27;),
         (&#x27;bs&#x27;, &#x27;Bosnian&#x27;),
         (&#x27;ca&#x27;, &#x27;Catalan&#x27;),
         (&#x27;cs&#x27;, &#x27;Czech&#x27;),
         (&#x27;cy&#x27;, &#x27;Welsh&#x27;),
         (&#x27;da&#x27;, &#x27;Danish&#x27;),
         (&#x27;de&#x27;, &#x27;German&#x27;),
         (&#x27;dsb&#x27;, &#x27;Lower Sorbian&#x27;),
         (&#x27;el&#x27;, &#x27;Greek&#x27;),
         (&#x27;en&#x27;, &#x27;English&#x27;),
         (&#x27;en-au&#x27;, &#x27;Australian English&#x27;),
         (&#x27;en-gb&#x27;, &#x27;British English&#x27;),
         (&#x27;eo&#x27;, &#x27;Esperanto&#x27;),
         (&#x27;es&#x27;, &#x27;Spanish&#x27;),
         (&#x27;es-ar&#x27;, &#x27;Argentinian Spanish&#x27;),
         (&#x27;es-co&#x27;, &#x27;Colombian Spanish&#x27;),
         (&#x27;es-mx&#x27;, &#x27;Mexican Spanish&#x27;),
         (&#x27;es-ni&#x27;, &#x27;Nicaraguan Spanish&#x27;),
         (&#x27;es-ve&#x27;, &#x27;Venezuelan Spanish&#x27;),
         (&#x27;et&#x27;, &#x27;Estonian&#x27;),
         (&#x27;eu&#x27;, &#x27;Basque&#x27;),
         (&#x27;fa&#x27;, &#x27;Persian&#x27;),
         (&#x27;fi&#x27;, &#x27;Finnish&#x27;),
         (&#x27;fr&#x27;, &#x27;French&#x27;),
         (&#x27;fy&#x27;, &#x27;Frisian&#x27;),
         (&#x27;ga&#x27;, &#x27;Irish&#x27;),
         (&#x27;gd&#x27;, &#x27;Scottish Gaelic&#x27;),
         (&#x27;gl&#x27;, &#x27;Galician&#x27;),
         (&#x27;he&#x27;, &#x27;Hebrew&#x27;),
         (&#x27;hi&#x27;, &#x27;Hindi&#x27;),
         (&#x27;hr&#x27;, &#x27;Croatian&#x27;),
         (&#x27;hsb&#x27;, &#x27;Upper Sorbian&#x27;),
         (&#x27;hu&#x27;, &#x27;Hungarian&#x27;),
         (&#x27;hy&#x27;, &#x27;Armenian&#x27;),
         (&#x27;ia&#x27;, &#x27;Interlingua&#x27;),
         (&#x27;id&#x27;, &#x27;Indonesian&#x27;),
         (&#x27;ig&#x27;, &#x27;Igbo&#x27;),
         (&#x27;io&#x27;, &#x27;Ido&#x27;),
         (&#x27;is&#x27;, &#x27;Icelandic&#x27;),
         (&#x27;it&#x27;, &#x27;Italian&#x27;),
         (&#x27;ja&#x27;, &#x27;Japanese&#x27;),
         (&#x27;ka&#x27;, &#x27;Georgian&#x27;),
         (&#x27;kab&#x27;, &#x27;Kabyle&#x27;),
         (&#x27;kk&#x27;, &#x27;Kazakh&#x27;),
         (&#x27;km&#x27;, &#x27;Khmer&#x27;),
         (&#x27;kn&#x27;, &#x27;Kannada&#x27;),
         (&#x27;ko&#x27;, &#x27;Korean&#x27;),
         (&#x27;ky&#x27;, &#x27;Kyrgyz&#x27;),
         (&#x27;lb&#x27;, &#x27;Luxembourgish&#x27;),
         (&#x27;lt&#x27;, &#x27;Lithuanian&#x27;),
         (&#x27;lv&#x27;, &#x27;Latvian&#x27;),
         (&#x27;mk&#x27;, &#x27;Macedonian&#x27;),
         (&#x27;ml&#x27;, &#x27;Malayalam&#x27;),
         (&#x27;mn&#x27;, &#x27;Mongolian&#x27;),
         (&#x27;mr&#x27;, &#x27;Marathi&#x27;),
         (&#x27;my&#x27;, &#x27;Burmese&#x27;),
         (&#x27;nb&#x27;, &#x27;Norwegian Bokmål&#x27;),
         (&#x27;ne&#x27;, &#x27;Nepali&#x27;),
         (&#x27;nl&#x27;, &#x27;Dutch&#x27;),
         (&#x27;nn&#x27;, &#x27;Norwegian Nynorsk&#x27;),
         (&#x27;os&#x27;, &#x27;Ossetic&#x27;),
         (&#x27;pa&#x27;, &#x27;Punjabi&#x27;),
         (&#x27;pl&#x27;, &#x27;Polish&#x27;),
         (&#x27;pt&#x27;, &#x27;Portuguese&#x27;),
         (&#x27;pt-br&#x27;, &#x27;Brazilian Portuguese&#x27;),
         (&#x27;ro&#x27;, &#x27;Romanian&#x27;),
         (&#x27;ru&#x27;, &#x27;Russian&#x27;),
         (&#x27;sk&#x27;, &#x27;Slovak&#x27;),
         (&#x27;sl&#x27;, &#x27;Slovenian&#x27;),
         (&#x27;sq&#x27;, &#x27;Albanian&#x27;),
         (&#x27;sr&#x27;, &#x27;Serbian&#x27;),
         (&#x27;sr-latn&#x27;, &#x27;Serbian Latin&#x27;),
         (&#x27;sv&#x27;, &#x27;Swedish&#x27;),
         (&#x27;sw&#x27;, &#x27;Swahili&#x27;),
         (&#x27;ta&#x27;, &#x27;Tamil&#x27;),
         (&#x27;te&#x27;, &#x27;Telugu&#x27;),
         (&#x27;tg&#x27;, &#x27;Tajik&#x27;),
         (&#x27;th&#x27;, &#x27;Thai&#x27;),
         (&#x27;tk&#x27;, &#x27;Turkmen&#x27;),
         (&#x27;tr&#x27;, &#x27;Turkish&#x27;),
         (&#x27;tt&#x27;, &#x27;Tatar&#x27;),
         (&#x27;udm&#x27;, &#x27;Udmurt&#x27;),
         (&#x27;uk&#x27;, &#x27;Ukrainian&#x27;),
         (&#x27;ur&#x27;, &#x27;Urdu&#x27;),
         (&#x27;uz&#x27;, &#x27;Uzbek&#x27;),
         (&#x27;vi&#x27;, &#x27;Vietnamese&#x27;),
         (&#x27;zh-hans&#x27;, &#x27;Simplified Chinese&#x27;),
         (&#x27;zh-hant&#x27;, &#x27;Traditional Chinese&#x27;)]</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGES_BIDI</td>
                  <td class="code"><pre>[&#x27;he&#x27;, &#x27;ar&#x27;, &#x27;ar-dz&#x27;, &#x27;fa&#x27;, &#x27;ur&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_CODE</td>
                  <td class="code"><pre>&#x27;en-us&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_AGE</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_DOMAIN</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_HTTPONLY</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_NAME</td>
                  <td class="code"><pre>&#x27;django_language&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_PATH</td>
                  <td class="code"><pre>&#x27;/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_SAMESITE</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>LANGUAGE_COOKIE_SECURE</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>LOCALE_PATHS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>LOGGING</td>
                  <td class="code"><pre>{}</pre></td>
                </tr>
              
                <tr>
                  <td>LOGGING_CONFIG</td>
                  <td class="code"><pre>&#x27;logging.config.dictConfig&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LOGIN_REDIRECT_URL</td>
                  <td class="code"><pre>&#x27;/accounts/profile/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LOGIN_URL</td>
                  <td class="code"><pre>&#x27;/accounts/login/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>LOGOUT_REDIRECT_URL</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>MANAGERS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>MEDIA_ROOT</td>
                  <td class="code"><pre>&#x27;media&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>MEDIA_URL</td>
                  <td class="code"><pre>&#x27;/media/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>MESSAGE_STORAGE</td>
                  <td class="code"><pre>&#x27;django.contrib.messages.storage.fallback.FallbackStorage&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>MIDDLEWARE</td>
                  <td class="code"><pre>[&#x27;django.middleware.security.SecurityMiddleware&#x27;,
         &#x27;django.contrib.sessions.middleware.SessionMiddleware&#x27;,
         &#x27;django.middleware.common.CommonMiddleware&#x27;,
         &#x27;django.middleware.csrf.CsrfViewMiddleware&#x27;,
         &#x27;django.contrib.auth.middleware.AuthenticationMiddleware&#x27;,
         &#x27;django.contrib.messages.middleware.MessageMiddleware&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>MIGRATION_MODULES</td>
                  <td class="code"><pre>{}</pre></td>
                </tr>
              
                <tr>
                  <td>MONTH_DAY_FORMAT</td>
                  <td class="code"><pre>&#x27;F j&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>NUMBER_GROUPING</td>
                  <td class="code"><pre>0</pre></td>
                </tr>
              
                <tr>
                  <td>PASSWORD_HASHERS</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>PASSWORD_RESET_TIMEOUT</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>PASSWORD_RESET_TIMEOUT_DAYS</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>PREPEND_WWW</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>REST_FRAMEWORK</td>
                  <td class="code"><pre>{}</pre></td>
                </tr>
              
                <tr>
                  <td>ROOT_URLCONF</td>
                  <td class="code"><pre>&#x27;Aquality2.urls&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SECRET_KEY</td>
                  <td class="code"><pre>&#x27;********************&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_BROWSER_XSS_FILTER</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_CONTENT_TYPE_NOSNIFF</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_HSTS_INCLUDE_SUBDOMAINS</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_HSTS_PRELOAD</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_HSTS_SECONDS</td>
                  <td class="code"><pre>0</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_PROXY_SSL_HEADER</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_REDIRECT_EXEMPT</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_REFERRER_POLICY</td>
                  <td class="code"><pre>&#x27;same-origin&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_SSL_HOST</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>SECURE_SSL_REDIRECT</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SERVER_EMAIL</td>
                  <td class="code"><pre>&#x27;root@localhost&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_CACHE_ALIAS</td>
                  <td class="code"><pre>&#x27;default&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_AGE</td>
                  <td class="code"><pre>1209600</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_DOMAIN</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_HTTPONLY</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_NAME</td>
                  <td class="code"><pre>&#x27;sessionid&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_PATH</td>
                  <td class="code"><pre>&#x27;/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_SAMESITE</td>
                  <td class="code"><pre>&#x27;Lax&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_COOKIE_SECURE</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_ENGINE</td>
                  <td class="code"><pre>&#x27;django.contrib.sessions.backends.db&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_EXPIRE_AT_BROWSER_CLOSE</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_FILE_PATH</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_SAVE_EVERY_REQUEST</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SESSION_SERIALIZER</td>
                  <td class="code"><pre>&#x27;django.contrib.sessions.serializers.JSONSerializer&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SETTINGS_MODULE</td>
                  <td class="code"><pre>&#x27;Aquality2.settings&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SHORT_DATETIME_FORMAT</td>
                  <td class="code"><pre>&#x27;m/d/Y P&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SHORT_DATE_FORMAT</td>
                  <td class="code"><pre>&#x27;m/d/Y&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SIGNING_BACKEND</td>
                  <td class="code"><pre>&#x27;django.core.signing.TimestampSigner&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>SILENCED_SYSTEM_CHECKS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>SIMPLEUI_ANALYSIS</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SIMPLEUI_CONFIG</td>
                  <td class="code"><pre>{&#x27;menus&#x27;: [{&#x27;icon&#x27;: &#x27;fas fa-folder-open&#x27;,
                    &#x27;models&#x27;: [{&#x27;icon&#x27;: &#x27;fas fa-bug&#x27;,
                                &#x27;name&#x27;: &#x27;Insect&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/insect/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fas fa-water&#x27;,
                                &#x27;name&#x27;: &#x27;Rivers&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/river/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fas fa-file-medical-alt&#x27;,
                                &#x27;name&#x27;: &#x27;Sample Record&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/samplerecord/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fas fa-microchip&#x27;,
                                &#x27;name&#x27;: &#x27;Hardware Data&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/data/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fas fa-wrench&#x27;,
                                &#x27;name&#x27;: &#x27;Report Problem&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/reportproblemrecord/&#x27;}],
                    &#x27;name&#x27;: &#x27;Aquality Data&#x27;},
                   {&#x27;app&#x27;: &#x27;auth&#x27;,
                    &#x27;icon&#x27;: &#x27;fas fa-shield-alt&#x27;,
                    &#x27;models&#x27;: [{&#x27;icon&#x27;: &#x27;fas fa-user-shield&#x27;,
                                &#x27;name&#x27;: &#x27;Group&#x27;,
                                &#x27;url&#x27;: &#x27;auth/group/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fa fa-user&#x27;,
                                &#x27;name&#x27;: &#x27;User&#x27;,
                                &#x27;url&#x27;: &#x27;auth/user/&#x27;},
                               {&#x27;icon&#x27;: &#x27;fas fa-users&#x27;,
                                &#x27;name&#x27;: &#x27;UserAccount&#x27;,
                                &#x27;url&#x27;: &#x27;/admin/aquality_server/useraccount&#x27;}],
                    &#x27;name&#x27;: &#x27;Authorization&#x27;},
                   {&#x27;icon&#x27;: &#x27;fas fa-globe-europe&#x27;,
                    &#x27;name&#x27;: &#x27;Activity Map&#x27;,
                    &#x27;url&#x27;: &#x27;/aquality_admin/maps&#x27;}],
         &#x27;system_keep&#x27;: False}</pre></td>
                </tr>
              
                <tr>
                  <td>SIMPLEUI_HOME_INFO</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>SIMPLEUI_LOGO</td>
                  <td class="code"><pre>&#x27;https://aquality-server-assets.s3.eu-west-1.amazonaws.com/static/aquality_admin/images/Apps%20Logo.png&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>STATICFILES_DIRS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>STATICFILES_FINDERS</td>
                  <td class="code"><pre>[&#x27;django.contrib.staticfiles.finders.FileSystemFinder&#x27;,
         &#x27;django.contrib.staticfiles.finders.AppDirectoriesFinder&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>STATICFILES_STORAGE</td>
                  <td class="code"><pre>&#x27;storages.backends.s3boto3.S3Boto3Storage&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>STATIC_ROOT</td>
                  <td class="code"><pre>None</pre></td>
                </tr>
              
                <tr>
                  <td>STATIC_URL</td>
                  <td class="code"><pre>&#x27;https://aquality-server-assets.s3.amazonaws.com/static/&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>TEMPLATES</td>
                  <td class="code"><pre>[{&#x27;APP_DIRS&#x27;: True,
          &#x27;BACKEND&#x27;: &#x27;django.template.backends.django.DjangoTemplates&#x27;,
          &#x27;DIRS&#x27;: [],
          &#x27;OPTIONS&#x27;: {&#x27;context_processors&#x27;: [&#x27;django.template.context_processors.debug&#x27;,
                                             &#x27;django.template.context_processors.request&#x27;,
                                             &#x27;django.contrib.auth.context_processors.auth&#x27;,
                                             &#x27;django.contrib.messages.context_processors.messages&#x27;]}}]</pre></td>
                </tr>
              
                <tr>
                  <td>TEST_NON_SERIALIZED_APPS</td>
                  <td class="code"><pre>[]</pre></td>
                </tr>
              
                <tr>
                  <td>TEST_RUNNER</td>
                  <td class="code"><pre>&#x27;django.test.runner.DiscoverRunner&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>THOUSAND_SEPARATOR</td>
                  <td class="code"><pre>&#x27;,&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>TIME_FORMAT</td>
                  <td class="code"><pre>&#x27;P&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>TIME_INPUT_FORMATS</td>
                  <td class="code"><pre>[&#x27;%H:%M:%S&#x27;, &#x27;%H:%M:%S.%f&#x27;, &#x27;%H:%M&#x27;]</pre></td>
                </tr>
              
                <tr>
                  <td>TIME_ZONE</td>
                  <td class="code"><pre>&#x27;UTC&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>USE_I18N</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>USE_L10N</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>USE_THOUSAND_SEPARATOR</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>USE_TZ</td>
                  <td class="code"><pre>True</pre></td>
                </tr>
              
                <tr>
                  <td>USE_X_FORWARDED_HOST</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>USE_X_FORWARDED_PORT</td>
                  <td class="code"><pre>False</pre></td>
                </tr>
              
                <tr>
                  <td>WSGI_APPLICATION</td>
                  <td class="code"><pre>&#x27;Aquality2.wsgi.application&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>X_FRAME_OPTIONS</td>
                  <td class="code"><pre>&#x27;DENY&#x27;</pre></td>
                </tr>
              
                <tr>
                  <td>YEAR_MONTH_FORMAT</td>
                  <td class="code"><pre>&#x27;F Y&#x27;</pre></td>
                </tr>
              
            </tbody>
          </table>
        
        </div>
        
          <div id="explanation">
            <p>
              You're seeing this error because you have <code>DEBUG = True</code> in your
              Django settings file. Change that to <code>False</code>, and Django will
              display a standard page generated by the handler for this status code.
            </p>
          </div>
        
        </body>
        </html>
Test Information
NamePassedFailedSkipped
Status test 1 0 0
Total 1 0 0
Test Failure
Test NameAssertion Error
Request Description
{ "arduino_id": 5, "latitude": 54.001271, "longitude": -6.393078, "ph": 6.9, "temp": 15 }
Request Information
Request Method: DELETE
Request URL: https://cccmi-aquality.tk/aquality_server/samplerecord/271/?username=lisa
Response Information
Response Code: 404 - Not Found
Mean time per request: 103ms
Mean size per request: 23B
Test Pass Percentage
0 %
Request Headers
Header NameHeader Value
Content-Type text/plain
User-Agent PostmanRuntime/7.26.10
Accept */*
Cache-Control no-cache
Postman-Token cf786663-4a67-4404-bd6d-17c4d1584dd5
Host cccmi-aquality.tk
Accept-Encoding gzip, deflate, br
Connection keep-alive
Content-Length 2354
Request Body
{
            "data_get": {
                "sample_score": 7,
                "sample_user": "lisa",
                "sample_ph": 1.0,
                "sample_tmp": 5.0,
                "sample_river_id":3510,
                "sample_survey":{"surveyData":[{"survey":{"pt_large_stones":{"optionText":"None","value":"none"},"pt_gravel":{"optionText":"None","value":"none"},"pt_sand":{"optionText":"None","value":"none"},"pt_silt_mud":{"optionText":"None","value":"none"},"degree_silt":{"optionText":"Clean","value":"clean"},"depth_mud":{"optionText":"< 1 cm","value":"less than one"},"farm_animals_selection":{"optionText":"Full Access","value":"full access"},"farm_animals_text":"sds","describe_grassland":{"optionText":"Present","value":"present"},"describe_tillage_crops":{"optionText":"Present","value":"present"},"describe_urban":{"optionText":"Present","value":"present"},"describe_forest":{"optionText":"Present","value":"present"},"describe_bog_heath_moorland":{"optionText":"Present","value":"present"},"water_clarity":{"optionText":"Clear","value":"clear"},"rubish_in_stream":{"optionText":"No","value":"no"},"water_velocity":{"optionText":"Present","value":"present"},"riffle_glide_pool":{"optionText":"Present","value":"present"},"select_match_urban_suburban":{"optionText":"Present","value":"present"},"select_match_nativewoodland_moorland":{"optionText":"Present","value":"present"},"select_match_presence_trees":{"optionText":"Present","value":"present"},"select_match_grassland_crops":{"optionText":"Present","value":"present"}}}]}
            },
            "insect_list": [
                {
                    "insect_name": "Rhyacophila",
                    "amount": 150
                },
                {
                    "insect_name": "Amphinemura",
                    "amount": 10
                },
                {
                    "insect_name": "Isoperla",
                    "amount": 90
                },
                {
                    "insect_name": "Rhithrogena Semicolorata",
                    "amount": 250
                },
                {
                    "insect_name": "Heptagenia",
                    "amount": 30
                },
                {
                    "insect_name": "Ephemera Danica",
                    "amount": 80
                },
                {
                    "insect_name": "Caenis",
                    "amount": 50
                }
            ],
            "insectsImage":{
                "insectPhoto":["file:///C:/Users/sur.jpg"]
            },
            "surrounding":{
                "surveyPhotos":["file://C:/Users/sur.jpg"]
            }
        }
Response Headers
Header NameHeader Value
Allow GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Type application/json
Date Thu, 25 Mar 2021 13:55:49 GMT
Referrer-Policy same-origin
Server nginx/1.18.0
Vary Accept, Cookie
X-Content-Type-Options nosniff
Content-Length 23
Connection keep-alive
Response Body
{"detail":"Not found."}
Test Information
NamePassedFailedSkipped
Setatus test 0 1 0
Total 0 1 0
Test Failure
Test NameAssertion Error
Setatus test 
expected response to have status code 204 but got 404