conversations
list
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find API CALL who meet following properties:, with a api call uid that is = :90b5547bc0b747108881812ac3546ef1, e91a8b27e8fc4286882d52a8f3815c5a , which status codes values are != 900, 400, 403, 503, 502 , which session_uid values are == :066c668ed70147c485fc2b9386530264, d6f3ffa6efa845e5b03c1e66cdb18499, e9172dd34b894e459418d509ee0ffe02 , perform sorting based on time before returning result ascending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('90b5547bc0b747108881812ac3546ef1', 'e91a8b27e8fc4286882d52a8f3815c5a') AND status_code NOT IN ('900', '400', '403', '503', '502') AND session_uid IN ('066c668ed70147c485fc2b9386530264', 'd6f3ffa6efa845e5b03c1e66cdb18499', 'e9172dd34b894e459418d509ee0ffe02') ORDER BY response_time ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'd like to be informed about initiation date which are parts of apicalls, which session uids values are != 0aaa72403bd34563aa32b561ebfff668, that have property api call url, which is equal to https://studfile.net/preview/6854369/page:11/, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://dev.wring.dev/details/project-explorer/view-project/449 , perform sorting by method asc, display me only 8 records\n" }, { "from": "gpt", "value": "SQL: SELECT created_at FROM apicalls WHERE session_uid NOT IN ('0aaa72403bd34563aa32b561ebfff668') AND url IN ('https://studfile.net/preview/6854369/page:11/', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://dev.wring.dev/details/project-explorer/view-project/449') ORDER BY method ASC LIMIT 8 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about 4 users who have the biggest value of overall sessions count , do sorting by median of duration of sessions per week from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions DESC LIMIT 5) AS top ORDER BY mean_week_duration ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about apicalls, keep only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show me initiation, apicall_uid of api calls, which have urls not https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://www.youtube.com/ , implement sorting according to HTTPS method status code asc, exclude all entries except 10\n" }, { "from": "gpt", "value": "SQL: SELECT created_at, apicall_uid FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://www.youtube.com/') ORDER BY status_code ASC LIMIT 10 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer me data on api calls, perform sorting by time of api_call update from the highest value to the lowest value, get rid of all entries, except 7\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY updated_at DESC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about api calls, that have property session unique id, which is not {77a27cf9d22b4f079912ae40b0dab5bf, f52b683502d14049acbade6adf9349ea}, appeared later after August, Wednesday 05, 2020 07:52 AM (August, Wednesday 05, 2020 07:52 AM not including), implement sorting by REST API method return code from the highest value to the lowest value, display only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('77a27cf9d22b4f079912ae40b0dab5bf', 'f52b683502d14049acbade6adf9349ea') AND created_at > '2020-08-05 07:52:00' ORDER BY status_code DESC LIMIT 3 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to 2 users who are at the peak of user rankings based on app usage time\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me method, HTTP method code out of information regarding to App prog interface calls, which have api call unique identifier precisely :9764a32160b74bfc96f9a3dbc1903a27, 244392987020464db266f27daed90255, e5078032172b4f07ac6daf03ad66a424 \n" }, { "from": "gpt", "value": "SQL: SELECT method, status_code FROM apicalls WHERE apicall_uid IN ('9764a32160b74bfc96f9a3dbc1903a27', '244392987020464db266f27daed90255', 'e5078032172b4f07ac6daf03ad66a424') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about api call url out of API CALLS, that were made for the first time at 2022 05 11 12.00.00 AM, which have values of HTTPS methods, that are not equal to GET, PUT , put to use sorting by time of api calls refreshing in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT url FROM apicalls WHERE created_at = '2022-05-11 00:00:00' AND method NOT IN ('GET', 'PUT') ORDER BY updated_at ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me App prog interface calls, sort by created_at descendingly, exclude all entries except 9\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY created_at DESC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find site url, session_uid, apicall unique identifier, status code out of APICALLS who meets following properties:, keep only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT url, session_uid, apicall_uid, status_code FROM apicalls LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me information regarding to API_CALLS, which api call urls values are exactly https://dev.wring.dev/details/project-explorer/view-project/449, which api call uids are not same as c7d5feb5ee3c4192b75e5feeac8825cb\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://dev.wring.dev/details/project-explorer/view-project/449') AND apicall_uid NOT IN ('c7d5feb5ee3c4192b75e5feeac8825cb') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find App prog interface calls who meets following properties:, which method value is precisely PUT, with a site urls that are same as :https://dev.wring.dev/details/project-explorer/view-project/449, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('PUT') AND url IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about users whose time in app is strictly greater than 630 beyond that perform sorting by duration summation from the lowest value to the highest value in addition display me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 630 ORDER BY total_duration ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about API_CALLS, that have property time before returning result, which is lower than 1955.96221, exclusively, which methods status_codes are not same as 201, apply sorting by time of apicall alteration from the highest to the lowest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time < 1955.96221 AND status_code NOT IN ('201') ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about api_call, updated beginning from 2019/08/10, 00:52:15, that has property session_uid, which is same as :d25bd2e41d484546931f061464e31176, 74b91284db014d7bb89122052c52626e , apply sorting according to status code descendingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at >= '2019-08-10 00:52:15' AND session_uid IN ('d25bd2e41d484546931f061464e31176', '74b91284db014d7bb89122052c52626e') ORDER BY status_code DESC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about time of apicall alteration which are parts of APICALLS, which have response time lesser than 1067.8578, inclusively, with a api call urls that are not https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, put to use sorting by call url from the largest to the smallest\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at FROM apicalls WHERE response_time <= 1067.8578 AND url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') ORDER BY url DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into users who have time using the app exactly 906 beyond that save only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration == 906 LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on response time of apicalls, which have session unique ids == a0119bd78fd84ac997597b9267e04278, 1afc3764ba134620b7fd8905cb72983c, 2355c65b8c814a1cb7b32d15176461d7 , which have value of api call unique identifier, that is == 825ba9a072404d1389be2d3fe0307ea2\n" }, { "from": "gpt", "value": "SQL: SELECT response_time FROM apicalls WHERE session_uid IN ('a0119bd78fd84ac997597b9267e04278', '1afc3764ba134620b7fd8905cb72983c', '2355c65b8c814a1cb7b32d15176461d7') AND apicall_uid IN ('825ba9a072404d1389be2d3fe0307ea2') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on users whose average week duration is smaller than 40 (not including) and bigger than 12 beyond that keep only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 12 AND mean_week_duration < 40 LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Display to me users pieces of information in addition apply sorting according to overall sessions count in descending and remain only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY total_sessions DESC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Which site url, response time, first appearance, REST API method out of API_CALLS is API_CALLS, which were overwritten exactly not in a date 09-08-2022 06h 00m 43s AM, which have api call url != :https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw , apply sorting by api call id in descending order, retain only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT url, response_time, created_at, method FROM apicalls WHERE updated_at != '2022-08-09 06:00:43' AND url NOT IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') ORDER BY apicall_uid DESC LIMIT 2 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about a user who doesn't live in cities Tokyo, Rio de Janeiro, Bridgetown, Johannesburg, Manila, Singapore City, Kuala Lumpur and in addition execute sorting by total sessions ascendingly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Tokyo', 'Rio de Janeiro', 'Bridgetown', 'Johannesburg', 'Manila', 'Singapore City', 'Kuala Lumpur') ORDER BY total_sessions ASC LIMIT 1;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about API CALLS, which have sessions ids same as 85436cdb24d6481f934d0cee0ac826a5, 820444a045b34e3f84564e30663ed905 , implement sorting according to date of API CALL update decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('85436cdb24d6481f934d0cee0ac826a5', '820444a045b34e3f84564e30663ed905') ORDER BY updated_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to users whose mean app usage time per week is greater than 28 (strictly) , moreover save only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration > 28 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about 4 users whose app usage time is bigger than 2400\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 2400 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about users who are residents of city Havana besides carry out sorting by city naming from the smallest value to the largest value as well as eliminate all records except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Havana') ORDER BY city_name ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into api_calls, which session_uid value is == (0a9f1f9a30bc4f8daf6c38ab4cff3949, 00f8911df7f148749278d38c9c96d726), execute sorting by session unique id in descending, keep only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('0a9f1f9a30bc4f8daf6c38ab4cff3949', '00f8911df7f148749278d38c9c96d726') ORDER BY session_uid DESC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about users who have total sessions less than 3 inclusive , moreover sort by city_name in ascending and eliminate all records except 3\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 3 ORDER BY city_name ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show api_calls to me, with a API CALL code statuses that are == 403, 200, 900, 302 , which have urls not equal to https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('403', '200', '900', '302') AND url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about users who are at the peak of user rankings based on mean time in app per week besides that carry out sorting by city_name descending plus get rid of all records, except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top ORDER BY city_name DESC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on apicalls, whose values were refreshed exclusively after 2022-06-19 00:17:10, which call url is not same as [https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/], perform sorting by date of API CALL refreshing from the highest value to the lowest value, get rid of all entries, except 5\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE updated_at > '2022-06-19 00:17:10' AND url NOT IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/') ORDER BY updated_at DESC LIMIT 5 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show me users whose sessions total is < than 2 inclusive in addition keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 2 LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about updated_at, session unique id, api call url which are parts of apicalls, which have api call urls not https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, which have api calls ids exactly not 479cecea9c944a20ba02d8639511341a, 62a26a39289b46a18cc96a2af4506678 , provide me only with 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, session_uid, url FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') AND apicall_uid NOT IN ('479cecea9c944a20ba02d8639511341a', '62a26a39289b46a18cc96a2af4506678') LIMIT 2 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find api calls who meets following properties:, that have properties API CALL code statuses, which are = 204, 304, 401, 503 , carry out sorting by used method in asc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('204', '304', '401', '503') ORDER BY method ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into 4 users who currently live in cities Ho Chi Minh City, Lima, London, Istanbul, Helsinki, Jakarta in addition to this carry out sorting by town naming from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Ho Chi Minh City', 'Lima', 'London', 'Istanbul', 'Helsinki', 'Jakarta') ORDER BY city_name ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about api call id, time before returning result from api_calls, with a api calls id that is not same as 09a56eee291d4747acb5f2d533d89555, created not in 2020-01-22 02h 48m 57s PM, perform sorting by APICALL method from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, response_time FROM apicalls WHERE apicall_uid NOT IN ('09a56eee291d4747acb5f2d533d89555') AND created_at != '2020-01-22 14:48:57' ORDER BY method ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users with a duration total that is above 871 and below 4717, exclusive both 871 and 4717 furthermore provide me only with 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 871 AND total_duration < 4717 LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into date of API CALL refreshing belonging to apcalls, which request methods are == :PUT, POST, GET , that were made exactly at 2021/09/06, 04:28:21, perform sorting by HTTP method from the largest value to the smallest value, provide me only with 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at FROM apicalls WHERE method IN ('PUT', 'POST', 'GET') AND created_at = '2021-09-06 04:28:21' ORDER BY method DESC LIMIT 4 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about API_CALLS, which have session uids == {20c959d8a95e45f7bb425bb5b3b50831, 28b24c47c3804bdca7e495547b365217}, that have property response time, which is exactly 3052.67055, put to use sorting by APICALL method in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('20c959d8a95e45f7bb425bb5b3b50831', '28b24c47c3804bdca7e495547b365217') AND response_time = 3052.67055 ORDER BY method ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on 4 users with a total sessions that is above 5 and below 2, exclusively 2\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 2 AND total_sessions >= 5 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on time of api_call update, site url of API CALL, with a api call ids that are == ee32e13f21ea4d059fcf4d7ace4099d5, updated since 04 09 2020 06h 40 mins 00, sort by initiation in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, url FROM apicalls WHERE apicall_uid IN ('ee32e13f21ea4d059fcf4d7ace4099d5') AND updated_at >= '2020-09-04 06:40:00' ORDER BY created_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into users + apply sorting by duration total from the largest value to the smallest value also keep only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY total_duration DESC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please provide insights on apcalls, implement sorting according to call url from the smallest to the largest, show me only 6 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ORDER BY url ASC LIMIT 6 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about REST API method belonging to APICALLS, with a REST API method return codes that are == [301, 400], which have values of sessions ids, that are = :fec7658094054930bb941ac82d627aae, d04bbf4e432b47f6b691ad51749de437, d541480a4329470f8aae27ad2fd516e9 , apply sorting according to api call id from the highest to the lowest, get rid of all entries, except 9\n" }, { "from": "gpt", "value": "SQL: SELECT method FROM apicalls WHERE status_code IN ('301', '400') AND session_uid IN ('fec7658094054930bb941ac82d627aae', 'd04bbf4e432b47f6b691ad51749de437', 'd541480a4329470f8aae27ad2fd516e9') ORDER BY apicall_uid DESC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into 4 users who are not living in city Sydney , moreover apply sorting according to sessions total from the lowest to the highest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Sydney') ORDER BY total_sessions ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Offer me knowledge about users who are bottom users based on overall all sessions quantity also save only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about users with a total duration of sessions that is below 4340, inclusive num 4340 , moreover apply sorting according to city_name ascending and in addition eliminate all records except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 4340 ORDER BY city_name ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me site url, response time, apicall unique id out of information regarding to API_CALLS, execute sorting by first execution date from the smallest to the largest, show me only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT url, response_time, apicall_uid FROM apicalls ORDER BY created_at ASC LIMIT 3 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about apicalls, which response time is strictly below 1457.20361, which have api call url equal to (https://www.youtube.com/, https://studfile.net/preview/6854369/page:11/, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate), put to use sorting by date of creation from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time < 1457.20361 AND url IN ('https://www.youtube.com/', 'https://studfile.net/preview/6854369/page:11/', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') ORDER BY created_at ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me what you know about session unique id, site url, apicall unique identifier, created_at value belonging to APICALLS, which site url value is exactly not [https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw], put to use sorting by upd. of apicalls date from the lowest value to the highest value, show me only 5 records\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid, url, apicall_uid, created_at FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw') ORDER BY updated_at ASC LIMIT 5 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into APICALLS, with a call urls that are not same as https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, apply sorting by site url from the largest value to the smallest value, get rid of all records, except 9\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') ORDER BY url DESC LIMIT 9 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about first execution date which are parts of App prog interface calls, carry out sorting by API CALL code status in descending, show me only 6 records\n" }, { "from": "gpt", "value": "SQL: SELECT created_at FROM apicalls ORDER BY status_code DESC LIMIT 6 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about api call id, updated at, session id belonging to apcalls, with a response time that is lesser than 680.27683 (including), which have values of session ids, that are == :086925ee4a114168968b3ca12d2f98c0, 956cf3e719b94e168a533c4c1c0458db, 7f3e67c518014006b840a083014c8e9a , sort by url from the highest value to the lowest value\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, updated_at, session_uid FROM apicalls WHERE response_time <= 680.27683 AND session_uid IN ('086925ee4a114168968b3ca12d2f98c0', '956cf3e719b94e168a533c4c1c0458db', '7f3e67c518014006b840a083014c8e9a') ORDER BY url DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about 6 users who have time using the app less than 3993 (not including) and greater than 1025\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration >= 1025 AND total_duration < 3993 LIMIT 6;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about apicalls, that have properties HTTP method codes, which are not same as :201, 401, 301, 304, 204 , that have properties apicall_uid, which are not same as (8f9dcbad69744ccb8c4c4e1eed132e39, e56cd92ec5274ea1bf626b769511fbef), sort by session id from the largest to the smallest, display only 8 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('201', '401', '301', '304', '204') AND apicall_uid NOT IN ('8f9dcbad69744ccb8c4c4e1eed132e39', 'e56cd92ec5274ea1bf626b769511fbef') ORDER BY session_uid DESC LIMIT 8 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Which first appearance, HTTP method code, HTTPS method, url which are parts of api calls is api calls, which call urls are exactly {https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia}\n" }, { "from": "gpt", "value": "SQL: SELECT created_at, status_code, method, url FROM apicalls WHERE url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about response time, initiation date, REST API method from API CALLS, which ses. id value is precisely 4fabae13757f47ecab2732ffbdd51fff, with a urls that are == https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db\n" }, { "from": "gpt", "value": "SQL: SELECT response_time, created_at, method FROM apicalls WHERE session_uid IN ('4fabae13757f47ecab2732ffbdd51fff') AND url IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me an information regarding to users with a overall total sessions is precisely 5 , moreover eliminate all records except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 5 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me api_calls id out of apicalls, which have values of status_codes, that are not same as 301, 403, 401, 900 , that have property ses. id, which is precisely (0d6cf418fb6d4e6980b3e3c9f459c8f1, 5055303e4f4d43d08ac7c6f3b0b4035b), put to use sorting by api_calls id in descending order, remain only 10 entries\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid FROM apicalls WHERE status_code NOT IN ('301', '403', '401', '900') AND session_uid IN ('0d6cf418fb6d4e6980b3e3c9f459c8f1', '5055303e4f4d43d08ac7c6f3b0b4035b') ORDER BY apicall_uid DESC LIMIT 10 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on users whose sessions count is greater than 4 and strictly less than 6 + save only 4 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 AND total_sessions < 6 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about apcalls, which apicall_uid are = 214a89ef0f334664ace996bf3064a638, changed previously than 2022 12 10 00h 00 mins 59 (exclusively)\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('214a89ef0f334664ace996bf3064a638') AND updated_at < '2022-12-10 00:00:59' ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me who are bot-tier based on value of count of sessions beyond that apply sorting by overall sessions count in asc order , moreover remain only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot ORDER BY total_sessions ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Return me url, response time, API CALL code status, session id belonging to API_CALLS, which have values of api call methods, that are not equal to :GET, DELETE, POST, PATCH , with a response time that is lesser than 1963.74155, exclusively, perform sorting by used method ascending\n" }, { "from": "gpt", "value": "SQL: SELECT url, response_time, status_code, session_uid FROM apicalls WHERE method NOT IN ('GET', 'DELETE', 'POST', 'PATCH') AND response_time < 1963.74155 ORDER BY method ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide me an information about 8 users who aren't living in cities Cape Town, Nassau, Reykjavik, Moscow, Bangkok\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Cape Town', 'Nassau', 'Reykjavik', 'Moscow', 'Bangkok') LIMIT 8;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to apicall unique identifier, session_uid belonging to APICALLS, with a session uid that is precisely c09cc986534d409c93403fb965cc4816, that have properties HTTPS methods, which are precisely PUT, PATCH, POST , do sorting by time for response desc\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, session_uid FROM apicalls WHERE session_uid IN ('c09cc986534d409c93403fb965cc4816') AND method IN ('PUT', 'PATCH', 'POST') ORDER BY response_time DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show 8 users to me who aren't currently living in city Johannesburg and do sorting by aver of time using the app per week from the smallest to the largest\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Johannesburg') ORDER BY mean_week_duration ASC LIMIT 8;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me about api_calls, which time for response is == 3868.92904, which have value of status code, that is not equal to 301, 200 \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE response_time = 3868.92904 AND status_code NOT IN ('301', '200') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find App prog interface call who meet following properties:, which API CALL method is exactly not (PUT, DELETE, PATCH), with a sessions ids that are exactly :295d26973af74af6a2cb0e88b6ca6896, dc1614cdfd7344d8afb352ffd11f5c0d, 9725f4f9ce9f4eb59b5563a9e0403130 , perform sorting based on time of api_call update in asc\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PUT', 'DELETE', 'PATCH') AND session_uid IN ('295d26973af74af6a2cb0e88b6ca6896', 'dc1614cdfd7344d8afb352ffd11f5c0d', '9725f4f9ce9f4eb59b5563a9e0403130') ORDER BY updated_at ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about 4 users whose total sessions count is staying below 2, exclusively 2 as well as execute sorting by city title from the highest value to the lowest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 2 ORDER BY city_name DESC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Share insights on methods status_code about apicall, which has value of time for response, that is bigger than 4915.99512, exclusively 4915.99512, which HTTPS method status code is exactly not [404, 400, 900, 201]\n" }, { "from": "gpt", "value": "SQL: SELECT status_code FROM apicalls WHERE response_time > 4915.99512 AND status_code NOT IN ('404', '400', '900', '201') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about session uid belonging to API CALLS, which have call url equal to :https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://dev.wring.dev/details/project-explorer/view-project/449 , show me only 8 records\n" }, { "from": "gpt", "value": "SQL: SELECT session_uid FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://dev.wring.dev/details/project-explorer/view-project/449') LIMIT 8 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about users who are at the peak of user rankings based on aver time spent on the site per week , moreover perform sorting by city_name ascending beyond that remain only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top ORDER BY city_name ASC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer data on users whose count of sessions is strictly less than 2 , and save only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions < 2 LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about App prog interface calls\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about users I can find living in cities Mexico City, San Jose, Ho Chi Minh City, Lima, Bangkok, Manila, Hanoi, Rio de Janeiro in addition to this provide me only with 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name IN ('Mexico City', 'San Jose', 'Ho Chi Minh City', 'Lima', 'Bangkok', 'Manila', 'Hanoi', 'Rio de Janeiro') LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Print me apicall uid, response time from apcall, which session_uid is != (b9cca2eef147436bb9d51038f3e1a6ff, f1fa377be0dc4b358fcbc644ca77124b), which urls values are = https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449\n" }, { "from": "gpt", "value": "SQL: SELECT apicall_uid, response_time FROM apicalls WHERE session_uid NOT IN ('b9cca2eef147436bb9d51038f3e1a6ff', 'f1fa377be0dc4b358fcbc644ca77124b') AND url IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show users to me whose time in app is smaller than 542 ( not including) additionaly do sorting by total duration amount in ascending , keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration < 542 ORDER BY total_duration ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm interested in learning about first execution date from apcalls, that have properties status_codes, which are != 201, 500, 401, 200 , apply sorting according to url from the highest to the lowest, save only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT created_at FROM apicalls WHERE status_code NOT IN ('201', '500', '401', '200') ORDER BY url DESC LIMIT 2 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Show API_CALL to me, which has api call urls not https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, which ses. id value is exactly 3c6c431a1a4445df83bff5776999c650, implement sorting by response time from the lowest value to the highest value\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') AND session_uid IN ('3c6c431a1a4445df83bff5776999c650') ORDER BY response_time ASC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find HTTP method, site url, REST API method return code out of api calls who meets following properties:, which apicall uid value is exactly not 3b72e2c197174c76a965bd1c1f172ace, 742f92eba9224beea212ce731c028efc , which status code value is same as :503, 304, 302 , which API CALL methods are not GET, DELETE , apply sorting by created_at value in descending order\n" }, { "from": "gpt", "value": "SQL: SELECT method, url, status_code FROM apicalls WHERE apicall_uid NOT IN ('3b72e2c197174c76a965bd1c1f172ace', '742f92eba9224beea212ce731c028efc') AND status_code IN ('503', '304', '302') AND method NOT IN ('GET', 'DELETE') ORDER BY created_at DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm curious about APICALL status_code, first appearance date, API CALL method, url which are parts of api_call, which api call url is not equal to https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449 , which api_calls ids values are not same as :caaba63948444a6db0961c3d64b7480e, 1a2d23092dfe4d00aeb3d71db0eeff70 , apply sorting according to api call uid from the largest value to the smallest value\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, created_at, method, url FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') AND apicall_uid NOT IN ('caaba63948444a6db0961c3d64b7480e', '1a2d23092dfe4d00aeb3d71db0eeff70') ORDER BY apicall_uid DESC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about 8 users I can't find living in cities Kuala Lumpur, Vienna, Ho Chi Minh City, Dubai, Edinburgh, Tokyo, Copenhagen beyond that execute sorting based on town name decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Kuala Lumpur', 'Vienna', 'Ho Chi Minh City', 'Dubai', 'Edinburgh', 'Tokyo', 'Copenhagen') ORDER BY city_name DESC LIMIT 8;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I want to know about users who have median of duration of sessions per week is bigger than 23 and strictly smaller than 30 furthermore implement sorting by city_name in asc in addition get rid of all entries, except 4\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 23 AND mean_week_duration < 30 ORDER BY city_name ASC LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Give me details on 6 users whose overall sessions count is less than 5 and greater than 9 besides that carry out sorting by city name in ascending order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions <= 5 AND total_sessions >= 9 ORDER BY city_name ASC LIMIT 6;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to response time from API_CALLS, implement sorting by time of creation in ascending, remain only 7 entries\n" }, { "from": "gpt", "value": "SQL: SELECT response_time FROM apicalls ORDER BY created_at ASC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I need to get information about users who have duration summation smaller than 2155 and bigger than 4876 besides perform sorting by number of sessions desc moreover keep only 3 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration <= 2155 AND total_duration >= 4876 ORDER BY total_sessions DESC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide insights into users who have mean site usage time per week smaller than 17 and bigger than 47 , moreover implement sorting according to time using the app from the lowest to the highest beyond that save only 3 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 17 AND mean_week_duration >= 47 ORDER BY total_duration ASC LIMIT 3;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you tell me about API CALLS, which have HTTPS method == PUT, that have property response time, which is lesser than 4241.98403, display me only 10 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('PUT') AND response_time <= 4241.98403 LIMIT 10 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Display users pieces of information with a duration of sessions per week divided by quant of days in a week that is above 44 as well as put to use sorting by app usage time in descending moreover show me only 2 records\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 44 ORDER BY total_duration DESC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I'm eager to find out about time of apicall alteration, response time, apicall_uid, API CALL method which are parts of apcall, with a time before returning result that is > than 2149.57879, exclusively 2149.57879, which api_calls ids values are exactly not 586fb093464f4734aae8e829d28e333a, b91111546efb4a738f7c76915a71d679, 90f3fc98b7d14d9ab62f97a36fe878eb , execute sorting based on session uid from the highest to the lowest\n" }, { "from": "gpt", "value": "SQL: SELECT updated_at, response_time, apicall_uid, method FROM apicalls WHERE response_time > 2149.57879 AND apicall_uid NOT IN ('586fb093464f4734aae8e829d28e333a', 'b91111546efb4a738f7c76915a71d679', '90f3fc98b7d14d9ab62f97a36fe878eb') ORDER BY session_uid DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Tell me about APICALL, with a api_calls ids that are exactly not 856368b16db548779428f9462ad895eb, bab4836794c14ec4a9e3eee8e6dd6718, d372fff08f2449a99d134ceaec2cddce , which has value of session uid, that is not :0b933c8f51b64a1c99b22b8ffcb6f7ef, c2a33882341f431588f6f9ce28ac1de9 , execute sorting based on status code in asc order\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('856368b16db548779428f9462ad895eb', 'bab4836794c14ec4a9e3eee8e6dd6718', 'd372fff08f2449a99d134ceaec2cddce') AND session_uid NOT IN ('0b933c8f51b64a1c99b22b8ffcb6f7ef', 'c2a33882341f431588f6f9ce28ac1de9') ORDER BY status_code ASC LIMIT 1 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Provide me an information about API CALLS, with a status code that is precisely 403, 404, 302 , which have values of api_calls ids, that are precisely 7b810ca2516440a38d282412fdaa776a, ff04474313d2441b8f0795b4e72d3dff \n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('403', '404', '302') AND apicall_uid IN ('7b810ca2516440a38d282412fdaa776a', 'ff04474313d2441b8f0795b4e72d3dff') ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Can you give me an information regarding to users who have sessions total exactly 8 , moreover display only 4 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_sessions == 8 LIMIT 4;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Could you enlighten me about users who have overall total duration less than 4824 and (not including) greater than 285 , and implement sorting according to total duration amount descendingly plus remain only 2 entries\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users WHERE total_duration > 285 AND total_duration <= 4824 ORDER BY total_duration DESC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Inform me regarding to 2 users , execute sorting based on mean time in app per week in ascending\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 2;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Find API CALLS who meets following properties:, which REST API methods are same as DELETE, GET , apply sorting by request method code status decliningly\n" }, { "from": "gpt", "value": "SQL: SELECT * FROM apicalls WHERE method IN ('DELETE', 'GET') ORDER BY status_code DESC ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: I have a curiosity about REST API method from api calls, which url value is not equal to https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db , information about which was modified not in a date Wednesday 25 of November, 2020 04h 00m AM, execute sorting based on created_at ascendingly, eliminate all records except 7\n" }, { "from": "gpt", "value": "SQL: SELECT method FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') AND updated_at != '2020-11-25 04:00:30' ORDER BY created_at ASC LIMIT 7 ;\n" } ]
[ { "from": "human", "value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n" }, { "from": "gpt", "value": "Hello, I'm AppMapGPT, how can I assist you?\n" }, { "from": "human", "value": "Question: Please offer me APICALL status_code, initiation, url of data on api call, do sorting by HTTPS method descending\n" }, { "from": "gpt", "value": "SQL: SELECT status_code, created_at, url FROM apicalls ORDER BY method DESC ;\n" } ]