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: Give me details on first execution date, updated_at value about API_CALL, which session ids are not {f1dca2e154bf4d599b43e67cc7d894db, f04484e7d65e4d9aadbd0dd836ecc091}, that has properties methods status_codes, which are not same as 503, 302, 401, 502, 200 , perform sorting based on api call url asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, updated_at FROM apicalls WHERE session_uid NOT IN ('f1dca2e154bf4d599b43e67cc7d894db', 'f04484e7d65e4d9aadbd0dd836ecc091') AND status_code NOT IN ('503', '302', '401', '502', '200') ORDER BY url 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 3 users who are lowest-tier of user rankings based on app usage time\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration 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: Give me details on session unique id, HTTP method, call url out of API CALLS, which have values of apicall unique ids, that are exactly :74b025b77f2548babd1cfc3ebf00971d, 7629cc0c79cd4e9e9041a669aceed9ea , which session unique id is exactly not 87885c8833214c48b05d8867916c8b8c, execute sorting by response time from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, method, url FROM apicalls WHERE apicall_uid IN ('74b025b77f2548babd1cfc3ebf00971d', '7629cc0c79cd4e9e9041a669aceed9ea') AND session_uid NOT IN ('87885c8833214c48b05d8867916c8b8c') 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 initiation, HTTP method code, api call uid, url which are parts of App prog interface calls to me, which have values of apicall uids, that are != (e6137c06dce14642a4109b7cdbbbf7bc, b7640c3f7d2e4404af418c5c4b2ce7f2), information about which was changed previously than 20:15:29, 2019/12/24, execute sorting based on status_code desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, status_code, apicall_uid, url FROM apicalls WHERE apicall_uid NOT IN ('e6137c06dce14642a4109b7cdbbbf7bc', 'b7640c3f7d2e4404af418c5c4b2ce7f2') AND updated_at <= '2019-12-24 20:15:29' 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: Provide me an information about users who aren't residing in cities Helsinki, Cape Town, Jakarta, Singapore City in addition execute sorting by mean of duration of sessions per week from the highest to the lowest , and keep only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Helsinki', 'Cape Town', 'Jakarta', 'Singapore City') ORDER BY mean_week_duration 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: I need to get information about 7 users with a median of duration of sessions per week that is above 34 and below 3 in addition execute sorting by time in app from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 3 AND mean_week_duration >= 34 ORDER BY total_duration 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: Which apcall are apcall, implement sorting according to initiation date descendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls 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 time for response, api_calls id, call url belonging to api_calls, put to use sorting by api_calls id from the largest value to the smallest value, keep only 8 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, apicall_uid, url FROM apicalls ORDER BY apicall_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: Show me time before returning result, session_uid of API_CALLS, that have property session_uid, which is equal to 01e7baef42ac463f86af1e7ec9da3a20, 9878fd9adebd4eb2900af00367e2834b, 2e9eb09148e24797949d3fda71975d4c , carry out sorting by session unique id decliningly, show me only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, session_uid FROM apicalls WHERE session_uid IN ('01e7baef42ac463f86af1e7ec9da3a20', '9878fd9adebd4eb2900af00367e2834b', '2e9eb09148e24797949d3fda71975d4c') ORDER BY session_uid 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: Show me apicall unique id from apcalls, which apicall unique identifier value is exactly 51b0302e49da4c9bb9859d4a2ae797e7, apply sorting according to time of apicall alteration ascending, display me only 7 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid FROM apicalls WHERE apicall_uid IN ('51b0302e49da4c9bb9859d4a2ae797e7') ORDER BY updated_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 have a curiosity about apicall_uid about api calls, which have value of response time, that is exclusively < than 1923.72376, which request methods values are same as PATCH, POST, DELETE, PUT , apply sorting according to api call unique identifier from the highest value to the lowest value, save only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid FROM apicalls WHERE response_time < 1923.72376 AND method IN ('PATCH', 'POST', 'DELETE', 'PUT') ORDER BY apicall_uid 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: I'm eager to find out about apcall, that has property call url, which is not equal to https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://www.youtube.com/ , that has property time for response, which is above 2264.89284, exclusively 2264.89284\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://www.youtube.com/') AND response_time > 2264.89284 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: Could you tell me about users whose average week duration exceeds 38 while staying below 24, exclusive 38 besides that save only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 24 AND mean_week_duration > 38 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 API CALLS, that were made after 2021-10-21 04:00:00 (exclusively), which request method code statuses are != {401, 403, 302, 900, 201}\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2021-10-21 04:00:00' AND status_code NOT IN ('401', '403', '302', '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: Tell me what you know about 7 users who have overall total duration less than 4853 ( not including) in addition to this apply sorting according to sessions summation in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 4853 ORDER BY total_sessions 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: Return me api_calls, whose values were changed next the 2023-12-05 12h 56m 44s AM (2023-12-05 12h 56m 44s AM not including), that have property site url, which is same as :https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , put to use sorting by session id ascending, display only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at > '2023-12-05 00:56:44' AND url IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') ORDER BY session_uid 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: Provide insights into users whose median of duration of sessions per week is bigger than 24 and smaller than 37 also carry out sorting by sessions count from the largest value to the smallest value and in addition keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 24 AND mean_week_duration <= 37 ORDER BY total_sessions 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 session unique id, status_code, updated_at, initiation date about api_calls, appeared not in May, Tuesday 17, 2022 12:41 AM, which sessions ids values are = :8d8b4e8f260f47c7ad4878b180e00184, 4957b6fbd6b945f999099be7bc4bb869 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, status_code, updated_at, created_at FROM apicalls WHERE created_at != '2022-05-17 00:41:27' AND session_uid IN ('8d8b4e8f260f47c7ad4878b180e00184', '4957b6fbd6b945f999099be7bc4bb869') ;\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 HTTPS method status code, session_uid, request method from API CALLS, which api calls ids are not equal to 0da029c6eb0843cda155ba64e867b2b7, which API CALL code status is not equal to 301, 401, 304 , execute sorting by response time ascending, show me only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, session_uid, method FROM apicalls WHERE apicall_uid NOT IN ('0da029c6eb0843cda155ba64e867b2b7') AND status_code NOT IN ('301', '401', '304') ORDER BY response_time 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'm interested in learning about 4 users who are users with highest av of time using the app per week\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top 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 interested in learning about users who have duration summation smaller than 85 and bigger than 2824 furthermore perform sorting by aver of time using the app per week in asc furthermore keep only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 85 AND total_duration >= 2824 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: I'd like to be informed about 8 users with a total_sessions that is higher than 10 and lower than 2, exclusive 10 furthermore put to use sorting by city naming ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 2 AND total_sessions > 10 ORDER BY city_name 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: Which date of creation, time for response, date of call update about api calls is api calls, which have response time exactly 718.00689, with a urls that are not equal to https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime , carry out sorting by session uid decliningly, save only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, response_time, updated_at FROM apicalls WHERE response_time = 718.00689 AND url NOT IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') ORDER BY session_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: Tell me about API_CALL, appeared untill 15:00:22, 2021/12/09 (don't include 15:00:22, 2021/12/09), which has values of REST API methods, that are exactly not :PUT, PATCH, GET \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at < '2021-12-09 15:00:22' AND method NOT IN ('PUT', 'PATCH', 'GET') ;\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 APICALLS, that were executed for the first time exclusively after date 20-06-2022 05h 20m 00s PM , which have values of request methods, that are precisely :DELETE, POST, PUT , apply sorting according to used method from the lowest to the highest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2022-06-20 17:20:00' AND method IN ('DELETE', 'POST', 'PUT') 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 5 users who aren't inhabitants of cities Amsterdam, Athens\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Amsterdam', 'Athens') 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 users who are top-tier based on value of mean_week_duration and in addition eliminate all records except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top 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: Please provide insights on 5 users whose sessions count exceeds 5 while staying below 7, exclusively 5 as well as apply sorting by all sessions quantity from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 5 AND total_sessions <= 7 ORDER BY total_sessions 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: Inform me about api_calls, with a session ids that are not 8861d42c9aaa43fab5cf505538de417c, which were overwritten at a date 2020-01-16 08:44:00, retain only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('8861d42c9aaa43fab5cf505538de417c') AND updated_at = '2020-01-16 08:44:00' 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 created at which are parts of APICALLS, whose values were overwritten exclusively after 2020/03/05, 11:17:12, which have time for response exclusively higher than 3160.58937, do sorting by APICALL status_code in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at FROM apicalls WHERE updated_at > '2020-03-05 11:17:12' AND response_time > 3160.58937 ORDER BY status_code 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 users whose duration of sessions per week divided by quant of days in a week is smaller than 38 and bigger than 9 besides show me only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 9 AND mean_week_duration <= 38 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 users who are leading users based on all sessions quantity and in addition apply sorting according to city naming in descending and in addition get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions 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: Which apicall are apicall, implement sorting by time of apicall modification in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls ORDER BY updated_at 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: Share insights on status code, call url, created at, session unique id about apicalls, which url is != https://www.youtube.com/, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449 , with a ses. id that is equal to (73ff6ccdcf9c4a2da2c5aaf17fd67528, ae6423ba61804177ad913026a7dc279b)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, url, created_at, session_uid FROM apicalls WHERE url NOT IN ('https://www.youtube.com/', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') AND session_uid IN ('73ff6ccdcf9c4a2da2c5aaf17fd67528', 'ae6423ba61804177ad913026a7dc279b') ;\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 5 users who don't belong to cities Ho Chi Minh City, Budapest, Stockholm , and sort by site usage time ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Ho Chi Minh City', 'Budapest', 'Stockholm') ORDER BY total_duration 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: Show 4 users to me whose mean time in app per week is greater than 48 and less than 5\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 5 AND mean_week_duration >= 48 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 first appearance date of information regarding to App prog interface call, which has value of api call url, that is != [https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych], which methods status_code is exactly not 502, 201, 404, 403, 400 , sort by session unique id in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at FROM apicalls WHERE url NOT IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') AND status_code NOT IN ('502', '201', '404', '403', '400') ORDER BY session_uid 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: Could you enlighten me about 8 users with a time in app that is higher than 1767 and lower than 4724 , carry out sorting by name of the town ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1767 AND total_duration <= 4724 ORDER BY city_name 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: I want to know about users as well as put to use sorting by time using the app from the smallest value to the largest value also save only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY total_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: Please offer me session_uid belonging to data on api_call, which has apicall uids == dbe60c0d3ed545408d4fd5c7169f3f18, which was updated beginning from 2020/04/20, 00:46:36, exclusively\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE apicall_uid IN ('dbe60c0d3ed545408d4fd5c7169f3f18') AND updated_at > '2020-04-20 00:46:36' 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: Display to me users pieces of information who have total duration amount bigger than 3065 and smaller than 515 (not including) and in addition provide me only with 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 515 AND total_duration >= 3065 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: Tell me what you know about users with a mean site usage time per week that is strictly higher than 36 and lower than 22 additionaly implement sorting according to overall quantity of sessions in descending and in addition show me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 22 AND mean_week_duration > 36 ORDER BY total_sessions 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: Can you give me information regarding to api calls, which were altered inclusively after April, Friday 23, 2021 08:10 AM, which APICALL method is != GET, implement sorting by HTTPS method decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at >= '2021-04-23 08:10:47' AND method NOT IN ('GET') ORDER BY method 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 me an information about apicall uid, time before returning result, session_uid, registration date out of API_CALLS, appeared strictly after date 06 of September, year 2022 07:16 PM , which APICALL methods values are exactly not DELETE, GET, PUT , sort by time before returning result asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, response_time, session_uid, created_at FROM apicalls WHERE created_at > '2022-09-06 19:16:04' AND method NOT IN ('DELETE', 'GET', 'PUT') 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: Could you enlighten me about App prog interface call, which has value of HTTPS method, that is equal to {PATCH, POST, PUT}, which call urls are exactly not https://www.youtube.com/, sort by APICALL method in asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('PATCH', 'POST', 'PUT') AND url NOT IN ('https://www.youtube.com/') 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: Return me time for response, APICALL method, APICALL status_code, api calls id of App prog interface calls, that have property APICALL method, which is == :DELETE, PUT, POST , which site url value is not same as :https://dev.wring.dev/details/project-explorer/view-project/449, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann , sort by API CALL method from the largest to the smallest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, method, status_code, apicall_uid FROM apicalls WHERE method IN ('DELETE', 'PUT', 'POST') AND url NOT IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ORDER BY method 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 need to get information about url of api calls, implement sorting by initiation date in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls 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: Please offer me session_uid, apicall unique identifier from data on APICALLS, that were made for the first time till February 25, 2021 02:49 PM (don't include February 25, 2021 02:49 PM), which site url value is exactly 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 session_uid, apicall_uid FROM apicalls WHERE created_at < '2021-02-25 14:49:26' AND url 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: I want to know about 3 users who have mean duration of sessions per week strictly smaller than 33 and also strictly bigger than 20\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 20 AND mean_week_duration < 33 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: Display users pieces of information , eliminate all records except 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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 interested in learning about updated at out of apcalls, which have session unique ids not equal to 8c981976f57d4f779c3160f21281ce8a, 5fe58d1a2c0b4415800cc66fcdd1ed0e , which have value of response time, that is not same as 2882.03948, apply sorting according to api_calls id from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at FROM apicalls WHERE session_uid NOT IN ('8c981976f57d4f779c3160f21281ce8a', '5fe58d1a2c0b4415800cc66fcdd1ed0e') AND response_time != 2882.03948 ORDER BY apicall_uid 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 apcalls, that were altered in 29 06 2020 08h 48 mins 09, which REST API method return codes values are == [500, 503, 304], get rid of all entries, except 7\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at = '2020-06-29 08:48:09' AND status_code IN ('500', '503', '304') 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 provide insights on api call url, response time, api_calls id, first appearance out of api calls, which were modified before date Saturday 30 of October, 2021 10h 25m AM (exclusively), executed for the first time till November, Friday 13, 2020 02:00 AM (don't include November, Friday 13, 2020 02:00 AM), implement sorting by url from the largest to the smallest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, response_time, apicall_uid, created_at FROM apicalls WHERE updated_at < '2021-10-30 10:25:33' AND created_at < '2020-11-13 02:00:00' 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: Tell me about 2 users who are top users based on average of total time spent in the app per week\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_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: Return me App prog interface calls, which have values of API CALL methods, that are not same as PUT\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PUT') ;\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 6 users with a sessions total that is above 3 and below 8, exclusive both 3 and 8\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 3 AND total_sessions < 8 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: Display to me users pieces of information whose average week duration exceed 17, exclusively 17 and save only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 17 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 users to me in addition apply sorting according to number of sessions in asc and in addition exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: I'd like to be informed about 3 users whose mean site usage time per week is strictly less than 0 as well as carry out sorting by duration of sessions per week divided by quant of days in a week risingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 0 ORDER BY mean_week_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: Display to me 3 users pieces of information whose median of duration of sessions per week is smaller than 24 inclusively , moreover implement sorting by city naming in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 24 ORDER BY city_name 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 about apcalls, which session uid value is equal to (b0c31a805d9c443c95260909e3202702, 13959fa92e7b4d55b50b1888ce1fb959, 98b7597d2b2f4d70a687c59d96e746d7), with a HTTP method that is != POST, PUT, DELETE, PATCH , that have property response time, which is precisely 1048.52597, display only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('b0c31a805d9c443c95260909e3202702', '13959fa92e7b4d55b50b1888ce1fb959', '98b7597d2b2f4d70a687c59d96e746d7') AND method NOT IN ('POST', 'PUT', 'DELETE', 'PATCH') AND response_time = 1048.52597 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: Display users pieces of information whose average of total time spent in the app per week is smaller than 11 and bigger than 41 and apply sorting by city name in desc order furthermore display me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 11 AND mean_week_duration >= 41 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 users whose mean site usage time per week exceeds 27 while staying below 22, exclusive 27 as well as carry out sorting by urban title from the lowest value to the highest value besides that remain only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 22 AND mean_week_duration > 27 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: Find APICALLS who meets following properties:, that have property API CALL method, which is not equal to GET, PATCH, DELETE , that were changed inclusively before 10 05 2020 05.58.00 AM, perform sorting by api call method from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('GET', 'PATCH', 'DELETE') AND updated_at <= '2020-05-10 05:58:00' ORDER BY method 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 me users whose aver time spent on the site per week is less than 11 and greater than 28 , moreover put to use sorting by total_duration desc besides that keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 11 AND mean_week_duration >= 28 ORDER BY total_duration 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: I want to know about used method, response time, first execution date, date of API CALL refreshing belonging to apcalls, that have property site url, which is exactly not {https://dev.wring.dev/details/project-explorer/view-project/449, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://studfile.net/preview/6854369/page:11/}, created strictly before date May 06, 2019 12:00 AM , perform sorting by api_calls id in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, response_time, created_at, updated_at FROM apicalls WHERE url NOT IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://studfile.net/preview/6854369/page:11/') AND created_at < '2019-05-06 00:00:22' ORDER BY apicall_uid 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: Could you tell me about apicall uid, ses. id, site url of apcalls, with a status_code that is != :403, 201, 401, 200, 404 , which have apicall uid same as dd7298bdae79485dbdb78256b5266ed4, 1b63d19fdfef4d92b2defbaea154425a, 16da4e9aaa894189832e97369cf9319d , perform sorting by response time from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, session_uid, url FROM apicalls WHERE status_code NOT IN ('403', '201', '401', '200', '404') AND apicall_uid IN ('dd7298bdae79485dbdb78256b5266ed4', '1b63d19fdfef4d92b2defbaea154425a', '16da4e9aaa894189832e97369cf9319d') 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: Share insights on apicall_uid, request method out of API CALLS\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, method 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 have a curiosity about apicall, that was created for the first time beginning since 2021-11-15 05h 55m 25s PM (don't include 2021-11-15 05h 55m 25s PM), modified not in a date 2020/08/01, 16:50:39\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2021-11-15 17:55:25' AND updated_at != '2020-08-01 16:50:39' 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 have a curiosity about apcalls, which HTTP method codes are precisely (503, 502), which url value is exactly not https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, remain only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('503', '502') AND url NOT IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') 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: Tell me what you know about 6 users whose sessions count is equal to 6 , apply sorting by all sessions quantity from the highest to the lowest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions == 6 ORDER BY total_sessions 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: Show api call id, date of API CALL update, response time, api call url of APICALLS to me, which have values of status_codes, that are exactly 201, 204, 502, 302 , which call urls are not https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych , do sorting by created_at value descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, updated_at, response_time, url FROM apicalls WHERE status_code IN ('201', '204', '502', '302') AND url NOT IN ('https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') 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: Give me details on 6 users with a time using the app that is above 2776 and below 1601, exclusively 1601 and 2776\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 1601 AND total_duration > 2776 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: Tell me what you know about 3 users whose total_duration is <= than 66 as well as sort by city_name from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 66 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: Tell me about api call url, HTTPS method status code, api calls id, ses. id about API_CALLS, which have value of methods status_code, that is not 304, which have response time inclusively higher than 1581.67091, apply sorting according to api call url ascending, show me only 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, status_code, apicall_uid, session_uid FROM apicalls WHERE status_code NOT IN ('304') AND response_time >= 1581.67091 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: Show session unique id which are parts of API CALLS to me, which session ids values are exactly 5c2d089fe22d4634a9be0ec671e6bdca, eee9f423f9fc439c930708a636a04208 , with a urls that are not equal to :https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449 , keep only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE session_uid IN ('5c2d089fe22d4634a9be0ec671e6bdca', 'eee9f423f9fc439c930708a636a04208') AND url NOT IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') 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 offer data on users who are users with lowest time in app besides that show me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot 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'd like to be informed about users who have aver of time using the app per week greater than 37 (not including) plus save only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 37 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: Could you tell me about users with a average week duration that is above 49 and below 18, exclusive 18 besides that apply sorting according to name of the town in descending beyond that remain only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 18 AND mean_week_duration >= 49 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: Could you enlighten me about api call url, APICALL method, date of creation from api_calls, that were created for the first time till Tuesday 05 of December, 2023 12h 27m AM (Tuesday 05 of December, 2023 12h 27m AM including), with a url that is same as https://dev.wring.dev/details/project-explorer/view-project/449, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann , execute sorting by time before returning result from the smallest value to the largest value, retain only 9 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, method, created_at FROM apicalls WHERE created_at <= '2023-12-05 00:27:00' AND url IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ORDER BY response_time ASC 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: Offer me knowledge about users whose total duration exceeds 1439 as well as implement sorting by name of the town from the lowest to the highest + display me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1439 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: Show users to me with a site usage time that is above 3906 and below 1232, exclusive 1232 in addition sort by time spent on the site decliningly in addition display only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 1232 AND total_duration >= 3906 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: Display to me 6 users pieces of information whose mean app usage time per week is greater than 42 and less than 1 (not including) moreover implement sorting according to town naming descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 1 AND mean_week_duration >= 42 ORDER BY city_name 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: Display to me 7 users pieces of information with a aver time spent on the site per week that is below 20 furthermore sort by overall duration of sessions per week divided by 7 ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 20 ORDER BY mean_week_duration 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: Display users pieces of information who hold the bottom position in overall sessions count plus sort by aver time spent on the site per week risingly and show me only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot 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: Provide insights into App prog interface calls, that have property apicall uid, which is precisely d722a10a1dbc430d9a694e438f1d5cf4, information about which was modified from 30 06 2023 01h 59 mins 09 (exclusively), remain only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('d722a10a1dbc430d9a694e438f1d5cf4') AND updated_at > '2023-06-30 01:59:09' 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'd like to be informed about session id belonging to apicalls, with a API CALL code statuses that are not equal to 404, 302, 401, 200, 400 , overwritten untill date 31 of March, year 2021 10:55 AM, execute sorting by time of apicall alteration in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE status_code NOT IN ('404', '302', '401', '200', '400') AND updated_at <= '2021-03-31 10:55:44' 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: I'm eager to find out about time of apicall modification out of API_CALLS, which have value of api call url, that is not https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann, https://dev.wring.dev/details/project-explorer/view-project/449 , whose values were updated till 2021 02 07 12.00.11 AM (don't include 2021 02 07 12.00.11 AM)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at FROM apicalls WHERE url NOT IN ('https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann', 'https://dev.wring.dev/details/project-explorer/view-project/449') AND updated_at < '2021-02-07 00:00:11' ;\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 additionaly put to use sorting by duration total in ascending order , display only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY total_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'm curious about users who are inhabitants of city Reykjavik besides that eliminate all records except 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Reykjavik') 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 users who have the smallest value of total_sessions plus eliminate all records except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions ASC LIMIT 5) AS bot 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 interested in learning about REST API method return code, api calls id, REST API method belonging to api_calls, that have property response time, which is bigger than 2741.7677 (not including), show me only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, apicall_uid, method FROM apicalls WHERE response_time > 2741.7677 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 have a curiosity about time for response, ses. id, time of apicall alteration about apcalls, with a session_uid that is exactly [29a5be83d4f049b58d6ade4e56c76152, 22e8fd8d0a45431999325e6d1937d014], implement sorting according to apicall uid risingly, exclude all entries except 8\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, session_uid, updated_at FROM apicalls WHERE session_uid IN ('29a5be83d4f049b58d6ade4e56c76152', '22e8fd8d0a45431999325e6d1937d014') ORDER BY apicall_uid 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: Find HTTPS method status code, time of apicall modification, response time which are parts of apicalls who meets following properties:, which have values of api call methods, that are = :POST, GET, PATCH , which api call uid value is precisely a74536ac34bd49959d5e390888e7334d, 03f0bd0878ae4804b1f22258efef4e66, c1a6fd99f8904364b723bf7b8baab464 , implement sorting according to APICALL status_code from the smallest to the largest, keep only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, updated_at, response_time FROM apicalls WHERE method IN ('POST', 'GET', 'PATCH') AND apicall_uid IN ('a74536ac34bd49959d5e390888e7334d', '03f0bd0878ae4804b1f22258efef4e66', 'c1a6fd99f8904364b723bf7b8baab464') ORDER BY status_code 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: Can you give me an information regarding to 5 users who are users with highest mean app usage time per week and in addition perform sorting by town name in descending order\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 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: Display to me users pieces of information who don't live in city Nairobi , moreover perform sorting based on city title from the smallest to the largest in addition get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Nairobi') 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: I have a curiosity about status code, api call uid, first appearance date of api_calls, which have values of urls, that are not same as [https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://studfile.net/preview/6854369/page:11/, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db], which methods status_codes are exactly :201, 403, 404 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, apicall_uid, created_at FROM apicalls WHERE url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://studfile.net/preview/6854369/page:11/', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') AND status_code IN ('201', '403', '404') ;\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 apicalls, that were refreshed later after 24 of September, year 2023 03:15 PM (24 of September, year 2023 03:15 PM including), which api calls id is == 3679bd316e4c41749747aacda0ccd42c, eliminate all records except 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at >= '2023-09-24 15:15:08' AND apicall_uid IN ('3679bd316e4c41749747aacda0ccd42c') 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: Offer me knowledge about API CALL code status, initiation, response time, api call method of api_calls, that were executed for the first time later than 2023-11-09 01:33:26 (inclusively), which have values of api call urls, that are same as https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, created_at, response_time, method FROM apicalls WHERE created_at >= '2023-11-09 01:33:26' AND url IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') ;\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 api_calls id, session unique id, created_at, apicall updation date of data on API CALLS, which APICALL status_code value is equal to 301, sort by response time from the smallest value to the largest value, get rid of all entries, except 6\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, session_uid, created_at, updated_at FROM apicalls WHERE status_code IN ('301') ORDER BY response_time ASC LIMIT 6 ;\n"
}
] |
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