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: Please provide insights on 5 users with a overall quantity of sessions that is higher than 5 and lower than 6, exclusive both nums as well as sort by median of duration of sessions per week from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 5 AND total_sessions < 6 ORDER BY mean_week_duration 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: Offer me knowledge about call url, status_code, response time of api calls, which have session_uid exactly e0197e82b496483abcef127c6386a992, 3b01b71c967e4ba189b13c1d5bb4b64a, 2fd0b9a5e3534f2cae2e48dec19b720c , which have response time precisely 1102.79342, apply sorting by time of api calls refreshing in ascending order, show me only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, status_code, response_time FROM apicalls WHERE session_uid IN ('e0197e82b496483abcef127c6386a992', '3b01b71c967e4ba189b13c1d5bb4b64a', '2fd0b9a5e3534f2cae2e48dec19b720c') AND response_time = 1102.79342 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: Return me API CALL code status which are parts of api calls, which have value of session id, that is != 91156d0c4cdc4b4f98b1ef58e504a5e9, 7ba2b7c9aa924c2a93855bd2188457c4, 907bf3713c5c487a9c85feaa81f54768 , carry out sorting by time of apicall alteration risingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code FROM apicalls WHERE session_uid NOT IN ('91156d0c4cdc4b4f98b1ef58e504a5e9', '7ba2b7c9aa924c2a93855bd2188457c4', '907bf3713c5c487a9c85feaa81f54768') ORDER BY updated_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about 8 users whose time in app is greater than 2351\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 2351 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: Provide me an information about users who time using the app less than 479 and greater than 3470 (not including) , and apply sorting by median of duration of sessions per week from the largest to the smallest in addition to this show me only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 479 AND total_duration > 3470 ORDER BY mean_week_duration DESC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about apcall, which time before returning result value is above 4481.19087 (strictly), which has values of session_uid, that are not same as 461ab8619da448c1a6c37dd29244c341, bc2c3f0f2d9e4329b5a74843c8927b3e, 97a72f7bc9c04955b0f320ebde02074d , do sorting by date of call update desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time > 4481.19087 AND session_uid NOT IN ('461ab8619da448c1a6c37dd29244c341', 'bc2c3f0f2d9e4329b5a74843c8927b3e', '97a72f7bc9c04955b0f320ebde02074d') ORDER BY updated_at DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you enlighten me about 2 users who aren't residents of cities Stockholm, Madrid, New Delhi, Bogota, Edinburgh, San Pedro furthermore do sorting by mean time in app per week ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Stockholm', 'Madrid', 'New Delhi', 'Bogota', 'Edinburgh', 'San Pedro') 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'm eager to find out about session unique id, methods status_code of apcalls, that were initiated before date 22 05 2022 00h 00 mins 30 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, status_code FROM apicalls WHERE created_at <= '2022-05-22 00:00:30' ;\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 4 users with a duration summation that is above 2157\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 2157 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 3 users who are lowest-tier of user rankings based on app usage time , and execute sorting based on mean of duration of sessions per week in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot 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: I have a curiosity about API_CALLS, that were made beginning from 14-08-2020 00:00:00, exclusively, that have property api call url, which is == [https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate, https://studfile.net/preview/6854369/page:11/]\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2020-08-14 00:00:00' AND url IN ('https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate', 'https://studfile.net/preview/6854369/page: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: Tell me what you know about users who aren't folks of cities Beijing, Paris, Guatemala City, Mexico City, Lisbon, Edinburgh, Sydney\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Beijing', 'Paris', 'Guatemala City', 'Mexico City', 'Lisbon', 'Edinburgh', 'Sydney');\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 API CALL method, apicall updation date belonging to APICALLS, which have value of session id, that is != 93c57314b79c4a5cb32d37d8a658a493, 086b68570ecd46a390c5f0138550d3c3, 7ff35e832d7846f98e2bddbd928e85e3 , which REST API method return code is not equal to 200, 503, 304, 400, 502 , carry out sorting by time before returning result in descending, show me only 7 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, updated_at FROM apicalls WHERE session_uid NOT IN ('93c57314b79c4a5cb32d37d8a658a493', '086b68570ecd46a390c5f0138550d3c3', '7ff35e832d7846f98e2bddbd928e85e3') AND status_code NOT IN ('200', '503', '304', '400', '502') ORDER BY response_time 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: Please offer data on users whose sessions summation is equal to 2 moreover perform sorting based on average week duration descendingly also remain only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions == 2 ORDER BY mean_week_duration 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: Return me time for response which are parts of API_CALLS, which session_uid values are precisely :56d310760f39405bb4bcb9881c687a71, 00c3b7dc4eca4bb294e3d04f9bf427ac , which have value of HTTPS method, that is not :GET, PATCH , implement sorting by site url in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time FROM apicalls WHERE session_uid IN ('56d310760f39405bb4bcb9881c687a71', '00c3b7dc4eca4bb294e3d04f9bf427ac') AND method NOT IN ('GET', 'PATCH') 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: Inform me regarding to users whose time in app is smaller than 2111 and bigger than 3254 also keep only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 2111 AND total_duration >= 3254 LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about users who don't currently live in city Sydney besides that do sorting by total time using the app from the smallest to the largest moreover show me only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Sydney') ORDER BY total_duration ASC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on status_code, session uid, site url from api calls, that have property api call url, which is != https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, put to use sorting by api call method descendingly, save only 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, session_uid, url FROM apicalls WHERE url NOT IN ('https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db') ORDER BY method 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: Please offer me response time, session id, apicall unique id of data on api_calls, that have properties api call unique identifiers, which are exactly not 69afca5fb12047b598de5b3fbf54de2c, which have value of session unique id, that is exactly not 345918e375374a9688ae2f57f456366c, 1ee679f1f008471e9e61a9ea9a25ca2c, ac33ec054b0b413b9b699bf3331c5a68 , apply sorting according to first appearance in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, session_uid, apicall_uid FROM apicalls WHERE apicall_uid NOT IN ('69afca5fb12047b598de5b3fbf54de2c') AND session_uid NOT IN ('345918e375374a9688ae2f57f456366c', '1ee679f1f008471e9e61a9ea9a25ca2c', 'ac33ec054b0b413b9b699bf3331c5a68') 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: Could you tell me about 6 users besides put to use sorting by sum of duration from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY total_duration 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: Please provide insights on upd. of apicalls date, apicall uid, time for response, call url out of APICALL, which api call methods values are == PATCH, which has session unique ids != 38c90732570b49ccb1590222be8b6a67, 74042861b9a54996b950736cebdefa40, 465108e99f91485384eff299d55b80f3 , initiated next the 2020 12 16 07.48.31 PM, carry out sorting by created at in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, apicall_uid, response_time, url FROM apicalls WHERE method IN ('PATCH') AND session_uid NOT IN ('38c90732570b49ccb1590222be8b6a67', '74042861b9a54996b950736cebdefa40', '465108e99f91485384eff299d55b80f3') AND created_at >= '2020-12-16 19:48:31' ORDER BY created_at ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about App prog interface calls, with a status_code that is not same as 201, 302, 403, 204, 502 , which have REST API method exactly not {GET, POST}\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('201', '302', '403', '204', '502') AND method NOT IN ('GET', 'POST') ;\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 5 users with a total sessions count that is above 5 and below 7, exclusive 5 inclusive 7 plus carry out sorting by city_name decliningly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 5 AND total_sessions <= 7 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: Provide me an information about users whose aver of time using the app per week is smaller than 32 (not including) and bigger than 24 also perform sorting by urban title risingly and exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 24 AND mean_week_duration < 32 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: Inform me regarding to App prog interface calls, refreshed previously than Monday 18 of September, 2023 03h 00m PM (inclusively), that have property response time, which is < than 4521.21809 (may be equal to 4521.21809), do sorting by session id from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at <= '2023-09-18 15:00:00' AND response_time <= 4521.21809 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 tell me about App prog interface calls, overwritten not at a date December 07, 2022 09:04 PM, created exclusively before Wednesday 08 of May, 2019 04h 00m AM, execute sorting based on session id in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at != '2022-12-07 21:04:00' AND created_at < '2019-05-08 04:00:00' ORDER BY session_uid DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about api_calls, that were created after date 2019 12 14 11.49.39 PM (exclusively), which have values of status codes, that are != 404, 503, 200 , put to use sorting by api call uid descending, provide me only with 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2019-12-14 23:49:39' AND status_code NOT IN ('404', '503', '200') ORDER BY apicall_uid DESC LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Can you give me an information regarding to users who have total time using the app strictly smaller than 3797 and also strictly bigger than 1328 , apply sorting by overall sessions count in descending also show me only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 1328 AND total_duration < 3797 ORDER BY total_sessions DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about 4 users who are users with lowest overall duration of sessions per week divided by 7 , moreover implement sorting according to site usage time in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 5) AS bot 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: Provide me an information about App prog interface calls, with a ses. id that is not equal to 2dbae13169f8475f82dc7ec531dfcd88, that have property apicall_uid, which is equal to :df95d0fcdb6643cd92c2b5a12aa9567e, 133561b4b78549ac9ea20cd771491046 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('2dbae13169f8475f82dc7ec531dfcd88') AND apicall_uid IN ('df95d0fcdb6643cd92c2b5a12aa9567e', '133561b4b78549ac9ea20cd771491046') ;\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 apcalls, which api call urls are = (https://www.youtube.com/, https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych), with a status_codes that are == 503, save only 5 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/', 'https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych') AND status_code IN ('503') 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 3 users pieces of information whose count of sessions is strictly bigger than 6 and smaller than 5 in addition put to use sorting by time using the app in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 5 AND total_sessions > 6 ORDER BY total_duration 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: Show 3 users to me who have quantity of sessions bigger than 5 and smaller than 3 (not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 3 AND total_sessions >= 5 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 first execution date, REST API method, status_code belonging to api calls, which have value of response time, that is strictly > than 4645.63886, that were altered later after 30 01 2022 08.51.00 AM (30 01 2022 08.51.00 AM including), carry out sorting by site url in descending, provide me only with 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, method, status_code FROM apicalls WHERE response_time > 4645.63886 AND updated_at >= '2022-01-30 08:51:00' ORDER BY url DESC LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about api calls, that have property time for response, which is == 3924.56113, that have properties APICALL status_code's, which are not 200, 304, 900 , implement sorting according to url risingly, exclude all entries except 6\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time = 3924.56113 AND status_code NOT IN ('200', '304', '900') 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: Tell me what you know about users who are topleast users based on aver of time using the app per week , moreover apply sorting by number of sessions in descending order besides that keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration ASC LIMIT 5) AS bot 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: Please offer me call url, time of creation, updated at, APICALL method about data on apicalls, with a response time that is lesser than 1801.68, exclusively 1801.68, keep only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url, created_at, updated_at, method FROM apicalls WHERE response_time < 1801.68 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'd like to be informed about users who are users with lowest total_duration , execute sorting by mean week duration descending , and eliminate all records except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot ORDER BY mean_week_duration 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: Offer me knowledge about 5 users who are users with lowest total amount of duration\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration ASC LIMIT 5) AS bot 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: Offer me knowledge about users with a time spent on the site that is higher than 937, exclusive 937 also apply sorting by name of the city ascendingly besides save only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 937 ORDER BY city_name ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: 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: I'm curious about api call unique identifier, date of API CALL refreshing, time for response which are parts of API_CALL, execute sorting based on HTTP method code from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, updated_at, response_time FROM apicalls ORDER BY status_code DESC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about users whose sessions count exceeds 9 , and do sorting by name of the town decliningly besides keep only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 9 ORDER BY city_name 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: Give me details on users whose city is New York City plus provide me only with 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('New York City') 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: Print me API_CALLS, which api call url value is equal to https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , which request method code statuses are not (302, 403), apply sorting by first appearance in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://www.youtube.com/watch?v=uhAgKlKM_7k&t=374s&ab_channel=AlexeyArestovych', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND status_code NOT IN ('302', '403') ORDER BY created_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about users who have av of time using the app per week larger than 22 (not including) additionaly perform sorting by urban center name ascending and in addition provide me only with 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 22 ORDER BY city_name ASC LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about time for response, HTTP method code, updated at, api call method from api_calls, that have property session unique id, which is precisely (91a6790ec6d143c58a63ea62a6a62925, 00b76f2c752a44b399c3a94e8645afc5), information about which was refreshed before date January, Thursday 02, 2020 12:00 AM (inclusively), which have apicall_uid not same as e2672fc62eae4e95bbfa278372d177a4, apply sorting by methods status_code in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, status_code, updated_at, method FROM apicalls WHERE session_uid IN ('91a6790ec6d143c58a63ea62a6a62925', '00b76f2c752a44b399c3a94e8645afc5') AND updated_at <= '2020-01-02 00:00:28' AND apicall_uid NOT IN ('e2672fc62eae4e95bbfa278372d177a4') 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: Provide insights into session uid, api calls id, created at from APICALLS, with a API CALL code statuses that are same as :500, 404, 204, 502 , which response time value is < than 3812.77654, inclusively 3812.77654, show me only 9 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, apicall_uid, created_at FROM apicalls WHERE status_code IN ('500', '404', '204', '502') AND response_time <= 3812.77654 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: Show me time of api calls refreshing, url about APICALL, implement sorting by HTTP method code from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, url FROM apicalls ORDER BY status_code DESC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about 7 users with a total duration that is above 272 and below 3638, exclusive 272 inclusive 3638\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 272 AND total_duration <= 3638 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 date of creation, HTTP method, url about api calls is api calls, which have values of APICALL status_code's, that are same as :404, 201, 304, 502 , which have response time not equal to 4427.18729, perform sorting by time of api calls refreshing asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, method, url FROM apicalls WHERE status_code IN ('404', '201', '304', '502') AND response_time != 4427.18729 ORDER BY updated_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about REST API method return code, site url which are parts of API_CALLS, that have properties API CALL methods, which are exactly not :POST, PUT , with a session uid that is not same as :9b3c294d92e041e4a08e2191c7260eee, 578f2319057f416a9d0d2f5ec1fd59da, b20c3dbefbf442f19ce50cbb5a0e29f0 , keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, url FROM apicalls WHERE method NOT IN ('POST', 'PUT') AND session_uid NOT IN ('9b3c294d92e041e4a08e2191c7260eee', '578f2319057f416a9d0d2f5ec1fd59da', 'b20c3dbefbf442f19ce50cbb5a0e29f0') 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 4 users pieces of information who aren't currently living in city Mumbai furthermore perform sorting by name of the city risingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Mumbai') 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 me 5 users with a total duration amount that is above 4436 and below 2004, exclusively\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 2004 AND total_duration > 4436 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: Could you tell me about status_code, date of call update, apicall_uid which are parts of APICALL, which has site urls not {https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://www.youtube.com/}, which has HTTP method not equal to PATCH, execute sorting by apicall unique id ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, updated_at, apicall_uid FROM apicalls WHERE url NOT IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://www.youtube.com/') AND method NOT IN ('PATCH') 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: Inform me regarding to users whose total amount of duration exceeds 1447 while staying below 3209 , moreover carry out sorting by aver of time using the app per week from the largest to the smallest besides that save only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1447 AND total_duration <= 3209 ORDER BY mean_week_duration DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to api_call, which sessions ids values are equal to [68a45a3ca64f4ca4b1baf10742ec1474, b8bb0ec75abf490b813bfe5a9d5f4937, ebf478b7fb94441689507aa95260e21f], which has values of api call ids, that are not a959b05b49444a4abdaf5bfb8f07672d, f62c02b8d04c4c3eb074596a244360ea \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('68a45a3ca64f4ca4b1baf10742ec1474', 'b8bb0ec75abf490b813bfe5a9d5f4937', 'ebf478b7fb94441689507aa95260e21f') AND apicall_uid NOT IN ('a959b05b49444a4abdaf5bfb8f07672d', 'f62c02b8d04c4c3eb074596a244360ea') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about users who don't live in cities Panama City, Kingston, Paris, Seoul, Sydney, New Delhi and in addition do sorting by mean_week_duration ascendingly beyond that display only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Panama City', 'Kingston', 'Paris', 'Seoul', 'Sydney', 'New Delhi') 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: I have a curiosity about App prog interface calls, which REST API method return codes values are == 503, which have ses. id equal to :18fff379ef5f41bea11ce4f5d83a699f, d5e24d66570346dc94dbef8a37edbefa , apply sorting according to initiation descendingly, display me only 9 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('503') AND session_uid IN ('18fff379ef5f41bea11ce4f5d83a699f', 'd5e24d66570346dc94dbef8a37edbefa') ORDER BY created_at DESC LIMIT 9 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about users whose overall total duration is greater than 164 and less than 4110 plus execute sorting based on app usage time in ascending order and in addition get rid of all records, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 164 AND total_duration <= 4110 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 interested in learning about api calls, which apicall_uid values are exactly f282224ae3bc4f02820ef1cb491984f3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('f282224ae3bc4f02820ef1cb491984f3') ;\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 API CALLS, that were made for the first time previously before 07-12-2022 05:23:26 (07-12-2022 05:23:26 not including), which have values of api call methods, that are exactly DELETE\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at < '2022-12-07 05:23:26' AND method IN ('DELETE') ;\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 7 users pieces of information with a total_duration that is below 3795, exclusive moreover execute sorting based on sum of duration from the highest to the lowest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 3795 ORDER BY total_duration 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: Offer me knowledge about first execution date, time of api_call update, api call method belonging to api calls, that were created till 2022 07 22 00h 00 mins 48 (2022 07 22 00h 00 mins 48 including), which api call urls values are not same as :https://dev.wring.dev/details/project-explorer/view-project/449, https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime \n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, updated_at, method FROM apicalls WHERE created_at <= '2022-07-22 00:00:48' AND url NOT IN ('https://dev.wring.dev/details/project-explorer/view-project/449', 'https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') ;\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 HTTP method, api call uid which are parts of apicalls, sort by date of call update in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, apicall_uid FROM apicalls 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: Please provide insights on 8 users whose sessions total is strictly smaller than 5 and strictly bigger than 8 (both not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 5 AND total_sessions > 8 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: Display users pieces of information with a all sessions quantity that is <= 7 , implement sorting according to quantity of sessions in ascending beyond that display me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 7 ORDER BY total_sessions 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: Tell me about api call url from API CALLS\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about 4 users who have the greatest time spent on the site and in addition implement sorting by sum of duration from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top 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: Inform me regarding to registration date, REST API method, api call unique identifier of api calls, whose values were overwritten next the 2021-09-13 06:41:59 (2021-09-13 06:41:59 not including), implement sorting according to api_calls id desc, provide me only with 6 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, method, apicall_uid FROM apicalls WHERE updated_at > '2021-09-13 06:41:59' ORDER BY apicall_uid DESC LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm interested in learning about HTTP method from api call, with a call urls that are = [https://studfile.net/preview/6854369/page:11/, https://dev.wring.dev/details/project-explorer/view-project/449, https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate], with a response time that is exclusively above 1894.31367, apply sorting by time of apicall alteration in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method FROM apicalls WHERE url IN ('https://studfile.net/preview/6854369/page:11/', 'https://dev.wring.dev/details/project-explorer/view-project/449', 'https://translate.google.com/?hl=ru&sl=en&tl=ru&text=Sore&op=translate') AND response_time > 1894.31367 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: Which apcalls is apcalls, which time before returning result value is precisely 4189.17465, that were updated before the 18-10-2023 00:00:01 inclusively, eliminate all records except 2\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time = 4189.17465 AND updated_at <= '2023-10-18 00:00:01' 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 curious about 6 users who have aver time spent on the site per week strictly less than 20 and greater than 37 (not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 20 AND mean_week_duration > 37 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: Share insights on 8 users who don't belong to cities Belize City, Amsterdam, Copenhagen, Helsinki, San Pedro, Guatemala City, Toronto, Seoul in addition to this perform sorting based on mean app usage time per week asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Belize City', 'Amsterdam', 'Copenhagen', 'Helsinki', 'San Pedro', 'Guatemala City', 'Toronto', 'Seoul') ORDER BY mean_week_duration ASC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about users whose duration total is less than 4331 and strictly greater than 1781 moreover display only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 1781 AND total_duration <= 4331 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 apcall, that has property method, which is equal to DELETE, GET, PUT, PATCH , which has api call unique identifier != :9799e23206a44df2bb376bb2a5d2d861, 376ba967383e4a2c898e582034ce5d2d , put to use sorting by api call unique identifier in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('DELETE', 'GET', 'PUT', 'PATCH') AND apicall_uid NOT IN ('9799e23206a44df2bb376bb2a5d2d861', '376ba967383e4a2c898e582034ce5d2d') ORDER BY apicall_uid DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about initiation, API CALL method, apicall updation date, session unique id of API_CALLS, which HTTPS method status codes values are exactly 401, 502 , sort by api call unique identifier ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, method, updated_at, session_uid FROM apicalls WHERE status_code IN ('401', '502') 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: Inform me regarding to users who have total duration strictly bigger than 3507 and strictly smaller than 1382 moreover do sorting by number of sessions in asc order in addition to this save only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 1382 AND total_duration > 3507 ORDER BY total_sessions ASC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to 3 users who aren't residents of cities London, Guatemala City, Moscow, New Delhi\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('London', 'Guatemala City', 'Moscow', 'New Delhi') 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 2 users with a time spent on the site that is higher than 1082 and lower than 4573, exclusive 1082 and 4573 , implement sorting according to aver time spent on the site per week in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 1082 AND total_duration < 4573 ORDER BY mean_week_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 users pieces of information with a mean site usage time per week that is above 49 and below 20, exclusive 20 plus display only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 20 AND mean_week_duration >= 49 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 moreover exclude all entries except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'd like to be informed about 2 users who have the least value of total amount of duration\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: Please provide insights on users who are leading users based on time in app also keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_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: Can you give me information regarding to API CALL, which sessions ids values are not 566f439d6293404a8fdf83d61ba80f38, which has value of response time, that is exactly not 964.9581, apply sorting according to initiation in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('566f439d6293404a8fdf83d61ba80f38') AND response_time != 964.9581 ORDER BY created_at ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on APICALLS, which status_code value is != 200, which were updated not at a date 2023-11-12 05h 03m 26s AM, execute sorting based on status_code in asc order, provide me only with 9 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('200') AND updated_at != '2023-11-12 05:03:26' ORDER BY status_code 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: I'd like to be informed about 4 users who aren't residing in cities Moscow, Cape Town in addition to this perform sorting by sessions total from the largest to the smallest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Moscow', 'Cape Town') 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: Provide me an information about api call url out of API_CALLS, which apicall_uid are != 825943ccb390447eb9ff946bf680ec25, b3dd5f2e40234441af8d26cd9c026699, 20006c54eb4c4954bd08a56d4a0ae880 , that have property site url, which is exactly https://studfile.net/preview/6854369/page:11/, carry out sorting by time of api_call update in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE apicall_uid NOT IN ('825943ccb390447eb9ff946bf680ec25', 'b3dd5f2e40234441af8d26cd9c026699', '20006c54eb4c4954bd08a56d4a0ae880') AND url IN ('https://studfile.net/preview/6854369/page:11/') 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'd like to be informed about users whose cities are Santo Domingo, Havana, Beijing, Quito, Caracas besides that execute sorting based on sessions count from the highest value to the lowest value besides that retain only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Santo Domingo', 'Havana', 'Beijing', 'Quito', 'Caracas') 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 interested in learning about API_CALL, that was executed for the first time in a date August, Monday 02, 2021 10:59 PM, information about which was changed previously than 2022 10 31 12.40.07 AM, sort by call url in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at = '2021-08-02 22:59:25' AND updated_at <= '2022-10-31 00:40:07' ORDER BY url DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about api_calls, which time before returning result value is higher than 4824.66865 (strictly), which session_uid is != 384f75745a8e4b8488f5bea516d62f9b, 0d67cc0b9e444f42962aaf118681d3c2, 0be8e6cc24984bf9b309c37c8c50ff01 , put to use sorting by time of apicall alteration risingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time > 4824.66865 AND session_uid NOT IN ('384f75745a8e4b8488f5bea516d62f9b', '0d67cc0b9e444f42962aaf118681d3c2', '0be8e6cc24984bf9b309c37c8c50ff01') ORDER BY updated_at ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I want to know about time of api_call update, time before returning result, session uid belonging to APICALL, which has time for response below 3153.17342, exclusively, which has api call unique identifier not equal to {26bbd3ebb7ab4ddfb9a8c5e1ccb238bb, b7a63acef0bf4866ba6b5c89598e6324, 83dd8a9a3c78496d9c433dd9816fa802}, implement sorting according to response time in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, response_time, session_uid FROM apicalls WHERE response_time < 3153.17342 AND apicall_uid NOT IN ('26bbd3ebb7ab4ddfb9a8c5e1ccb238bb', 'b7a63acef0bf4866ba6b5c89598e6324', '83dd8a9a3c78496d9c433dd9816fa802') ORDER BY response_time DESC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about APICALL, which method is != PUT, sort by date when was updation of apicall asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method NOT IN ('PUT') ORDER BY updated_at ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer me data on api_calls, altered at 18 03 2021 14h 25 mins 53, with a apicall unique identifier that is = fb066a53b2c642d98b572f6b9ab51b7e, 67d3601911d84755a020cf0ee03665d3 , display only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at = '2021-03-18 14:25:53' AND apicall_uid IN ('fb066a53b2c642d98b572f6b9ab51b7e', '67d3601911d84755a020cf0ee03665d3') LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me updated at, session uid which are parts of API CALLS, that were created previously than 13:22:56, 2023/07/03, do sorting by time of api_call update from the lowest to the highest, get rid of all records, except 9\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, session_uid FROM apicalls WHERE created_at <= '2023-07-03 13:22:56' ORDER BY updated_at 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: Please offer data on 8 users who are users with highest quantity of sessions in addition to this perform sorting based on duration summation from the largest value to the smallest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions DESC LIMIT 5) AS top ORDER BY total_duration 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: Can you give me apicall unique id, date when was updation of apicall belonging to information regarding to API_CALL, that has property session id, which is = cf7b4d8b50b44cbf9fd5e711efc2f718, which has value of HTTPS method status code, that is not 304, 200, 502, 201 , do sorting by updated at descendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, updated_at FROM apicalls WHERE session_uid IN ('cf7b4d8b50b44cbf9fd5e711efc2f718') AND status_code NOT IN ('304', '200', '502', '201') ORDER BY updated_at DESC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about API CALL code status, method belonging to api calls, which have values of request methods, that are same as :DELETE, POST \n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, method FROM apicalls WHERE method IN ('DELETE', 'POST') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display users pieces of information with a time in app that is higher than 2649 and lower than 1955, exclusive 1955 beyond that implement sorting by name of the town ascendingly , remain only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 1955 AND total_duration >= 2649 ORDER BY city_name ASC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me API_CALL, information about which was overwritten exactly in January 08, 2023 03:55 AM, which has api call unique identifiers exactly not 9048e2193f2242718b78b2e6ed522237, perform sorting based on response time from the smallest value to the largest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at = '2023-01-08 03:55:48' AND apicall_uid NOT IN ('9048e2193f2242718b78b2e6ed522237') ORDER BY response_time ASC LIMIT 1 ;\n"
}
] |
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