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: Offer me knowledge about users who are at the peak of user rankings based on mean time in app per week besides that carry out sorting by city_name descending plus get rid of all records, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY mean_week_duration DESC LIMIT 5) AS top ORDER BY city_name DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Can you give me an information regarding to users whose mean site usage time per week is smaller than 29 (not including) and bigger than 25 plus apply sorting by city name from the largest value to the smallest value , and exclude all entries except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 25 AND mean_week_duration < 29 ORDER BY city_name DESC LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me about apcalls, that have property session unique id, which is = 31963ea7a5c2422b935fe487750eca1d, that have properties api call ids, which are not equal to [0dca7d6b0a354b4c82a37763b56972e7, f6a1d1295bda420a830a485e190f7fae], put to use sorting by time of api_call update from the smallest value to the largest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('31963ea7a5c2422b935fe487750eca1d') AND apicall_uid NOT IN ('0dca7d6b0a354b4c82a37763b56972e7', 'f6a1d1295bda420a830a485e190f7fae') 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'm curious about 5 users with a sessions total that is higher than 4, inclusive num 4 as well as carry out sorting by time using the app in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 ORDER BY total_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: Can you give me an information regarding to 4 users who are folks of cities Bridgetown, Jakarta, Istanbul, San Salvador\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Bridgetown', 'Jakarta', 'Istanbul', 'San Salvador') LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about url from api_calls, which api call uids are not same as 3332d65cebdc4cec8485fdd27039381e, which call urls are exactly :https://www.youtube.com/, https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann \n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE apicall_uid NOT IN ('3332d65cebdc4cec8485fdd27039381e') AND url IN ('https://www.youtube.com/', 'https://chat.openai.com/c/a6f274d0-f468-4eac-9a94-07acd83077db', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 2 users with a time spent on the site that is higher than 3246 and lower than 1450\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration <= 1450 AND total_duration >= 3246 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 users with a aver of time using the app per week that is above 14 and below 47, exclusive 14 furthermore remain only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration > 14 AND mean_week_duration <= 47 LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about 4 users whose aver of time using the app per week is same as 48\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration == 48 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about a user who has mean_week_duration less than 30 and greater than 5\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 5 AND mean_week_duration <= 30 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 provide insights on 8 users with a sessions count that is higher than 9 and lower than 2, exclusively 2 , apply sorting by overall quantity of sessions ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 2 AND total_sessions >= 9 ORDER BY total_sessions 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: Please offer data on users with a mean_week_duration that is above 46 and below 7, exclusively 7 and 46 + implement sorting by city naming in ascending in addition to this show me only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration < 7 AND mean_week_duration > 46 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: Return me method, api calls id, call url of apcalls, which have values of sessions ids, that are precisely 25d4a8f5508e4b63b3395cadab91004a, which have time for response exactly not 3621.83737, execute sorting based on first appearance asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, apicall_uid, url FROM apicalls WHERE session_uid IN ('25d4a8f5508e4b63b3395cadab91004a') AND response_time != 3621.83737 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: Could you enlighten me about 2 users whose overall total sessions is greater than 3 and less than 8\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 3 AND total_sessions <= 8 LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into 7 users who have total duration amount = 1729 furthermore carry out sorting by time using the app in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration == 1729 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: Show me 5 random users\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: I'm eager to find out about users who don't currently live in city Kuala Lumpur + exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Kuala Lumpur') LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Share insights on App prog interface calls, which have value of api call unique identifier, that is == 93722476dc6641bc83eb7b207c076d57, 92a46ad7fd924059b981bf870623bed2 , which HTTPS methods are exactly POST, PATCH, PUT, GET , apply sorting by created_at value in descending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid IN ('93722476dc6641bc83eb7b207c076d57', '92a46ad7fd924059b981bf870623bed2') AND method IN ('POST', 'PATCH', 'PUT', 'GET') 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: Show me 8 users whose sessions total is greater than 2 and less than 9 also apply sorting by city_name in asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 2 AND total_sessions <= 9 ORDER BY city_name ASC LIMIT 8;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me users pieces of information who have median of duration of sessions per week smaller than 6 beyond that execute sorting based on all sessions quantity from the lowest value to the highest value + remain only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 6 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: Inform me regarding to request method code status, used method, response time of apicalls, which HTTPS method status codes are exactly :302, 502, 400 , with a REST API methods that are equal to :GET, POST , that were executed for the first time in 00:00:00, 2023/01/11, implement sorting by REST API method asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, method, response_time FROM apicalls WHERE status_code IN ('302', '502', '400') AND method IN ('GET', 'POST') AND created_at = '2023-01-11 00:00:00' ORDER BY method ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer me ses. id, updated_at of data on App prog interface calls, changed untill September 12, 2022 11:06 AM (don't include September 12, 2022 11:06 AM), which have APICALL method exactly POST, PATCH , with a sessions ids that are equal to 45719b2761424f4a8eb066f15a1d3480, ea2b43c7b28e4556ab3b237541c3f3cf \n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, updated_at FROM apicalls WHERE updated_at < '2022-09-12 11:06:00' AND method IN ('POST', 'PATCH') AND session_uid IN ('45719b2761424f4a8eb066f15a1d3480', 'ea2b43c7b28e4556ab3b237541c3f3cf') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about url out of APICALLS, which REST API methods values are precisely :POST, DELETE, PUT , that were executed for the first time later after 2023-11-08 05:21:07 (2023-11-08 05:21:07 not including), execute sorting based on session uid descendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT url FROM apicalls WHERE method IN ('POST', 'DELETE', 'PUT') AND created_at > '2023-11-08 05:21:07' 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: Display users pieces of information who are residing in cities Quito, Dublin, Singapore City, Bogota, Santiago and apply sorting by total sessions count in descending , and provide me only with 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Quito', 'Dublin', 'Singapore City', 'Bogota', 'Santiago') 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: Share insights on 3 users who have the greatest sessions total\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_sessions DESC LIMIT 5) AS top LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on API CALLS, which have values of api call uids, that are exactly not 73235e0c31af4af59123879de5755ea9, execute sorting by HTTP method asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('73235e0c31af4af59123879de5755ea9') ORDER BY method ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me about date of API CALL refreshing, api call method out of App prog interface call, that was initiated till the 08 09 2021 03.09.27 AM (08 09 2021 03.09.27 AM not including), which response time is not 3478.92201, carry out sorting by api calls id in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, method FROM apicalls WHERE created_at < '2021-09-08 03:09:27' AND response_time != 3478.92201 ORDER BY apicall_uid 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: Offer me knowledge about users who have duration of sessions per week divided by quant of days in a week bigger than 41 plus apply sorting by overall total sessions descending , and save only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 41 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: I'm interested in learning about users whose overall sessions count is equal to 3 besides perform sorting by sessions count descending plus exclude all entries except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions == 3 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: Find session id about apcalls who meets following properties:, which have apicall_uid = f75a35c79ad14efba08ddb1af8e86a8c, b4869ec0c5944c16a1180d5622ba0a5f , which have value of url, that is = https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , keep only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid FROM apicalls WHERE apicall_uid IN ('f75a35c79ad14efba08ddb1af8e86a8c', 'b4869ec0c5944c16a1180d5622ba0a5f') AND url IN ('https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') 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: Find API_CALLS who meets following properties:, which API CALL method is precisely DELETE, which have request method code status same as [301, 404, 304], implement sorting by ses. id from the smallest to the largest, save only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE method IN ('DELETE') AND status_code IN ('301', '404', '304') ORDER BY session_uid ASC LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about users with a overall sessions count that is above 8 and below 3, exclusive 8 , and remain only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 3 AND total_sessions > 8 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 6 users who have all sessions quantity greater than 2 and less than 9 (not including)\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 2 AND total_sessions < 9 LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about HTTPS method, HTTPS method status code, apicall unique id, session uid about apcalls, with a APICALL methods that are not PATCH, DELETE , that have properties request method code statuses, which are != 301, 201, 401, 204, 200 , which were changed in 2019-10-14 02h 19m 00s PM\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method, status_code, apicall_uid, session_uid FROM apicalls WHERE method NOT IN ('PATCH', 'DELETE') AND status_code NOT IN ('301', '201', '401', '204', '200') AND updated_at = '2019-10-14 14:19:00' ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me users whose count of sessions is equal to 5 furthermore keep only 2 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions == 5 LIMIT 2;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Offer me knowledge about 5 users and in addition apply sorting by count of sessions in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users ORDER BY total_sessions DESC LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about 5 users who are top-tier based on value of time in app also perform sorting based on number of sessions from the highest value to the lowest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM (SELECT * FROM users ORDER BY total_duration DESC LIMIT 5) AS top ORDER BY total_sessions DESC LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about 8 users whose overall duration of sessions per week divided by 7 is smaller than 28 and bigger than 11 and apply sorting by total sessions count in desc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration >= 11 AND mean_week_duration <= 28 ORDER BY total_sessions 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 information regarding to APICALL, do sorting by request method code status ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls ORDER BY status_code ASC LIMIT 1 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Give me details on date of creation, status code which are parts of App prog interface calls, appeared for the first time at a date 2020 06 22 00h 01 mins 44, with a apicall_uid that is == ac3d7641de5a4fb3bc79e16ce4fba12e, apply sorting according to response time from the largest to the smallest, keep only 7 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, status_code FROM apicalls WHERE created_at = '2020-06-22 00:01:44' AND apicall_uid IN ('ac3d7641de5a4fb3bc79e16ce4fba12e') 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: Inform me regarding to API CALLS, which have session unique ids == d9fd719bcf154a4da54729872ca1fbfa, which response time is < than 3151.13113 (strictly), do sorting by HTTPS method in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('d9fd719bcf154a4da54729872ca1fbfa') AND response_time < 3151.13113 ORDER BY method ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about users who have total time using the app bigger than 4032 and smaller than 626 (not including) besides show me only 2 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 626 AND total_duration >= 4032 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 6 users who have overall quantity of sessions greater than 4 and less than 5 as well as perform sorting by town_name in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 AND total_sessions <= 5 ORDER BY city_name DESC LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer me data on api calls, that were created before 28 of February, year 2023 06:00 PM (exclusively), that have property session_uid, which is equal to c2398dc2f193444fad17ed4420912fc6\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at < '2023-02-28 18:00:26' AND session_uid IN ('c2398dc2f193444fad17ed4420912fc6') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 apcalls, perform sorting based on date of creation in descending, retain only 5 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls ORDER BY created_at DESC LIMIT 5 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Can you give me an information regarding to 2 users whose time using the app is 4169 beyond that execute sorting based on city naming from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration == 4169 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, date of API CALL refreshing, first appearance of api calls, do sorting by first execution date in asc order, keep only 10 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, updated_at, created_at FROM apicalls ORDER BY created_at ASC LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Inform me regarding to status code belonging to API CALL, that has property time before returning result, which is greater than 2846.23915 (not including), which has value of apicall_uid, that is != 809b72fffab9419ebf9b9aeb898f930c, 80cd500887884ee7a4aa6cca44be7dfb \n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code FROM apicalls WHERE response_time > 2846.23915 AND apicall_uid NOT IN ('809b72fffab9419ebf9b9aeb898f930c', '80cd500887884ee7a4aa6cca44be7dfb') 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 provide insights on users whose overall sessions count is < than 4 inclusive besides eliminate all records except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 4 LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Find HTTPS method status code, time of api_call update of api calls who meets following properties:, that have property session uid, which is exactly 6dd244943a1e480d8a7e69714fbfea37, with a apicall_uid that is != bb7ee4cbe96e4c638a979f4602f0e845, save only 8 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, updated_at FROM apicalls WHERE session_uid IN ('6dd244943a1e480d8a7e69714fbfea37') AND apicall_uid NOT IN ('bb7ee4cbe96e4c638a979f4602f0e845') LIMIT 8 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me users who aren't living in cities Rome, Berlin, Oslo, London, Prague, Mumbai + get rid of all records, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Rome', 'Berlin', 'Oslo', 'London', 'Prague', 'Mumbai') LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about api_calls, that have property url, which is equal to https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, which have values of APICALL status_code's, that are same as 400, 301, 502, 900, 503 , carry out sorting by upd. of apicalls date from the highest to the lowest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') AND status_code IN ('400', '301', '502', '900', '503') 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: Show users to me who aren't residing in cities Belize City, Bogota, Caracas + keep only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Belize City', 'Bogota', 'Caracas') LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you tell me about 4 users whose total sessions count is staying below 8, exclusively 8\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 8 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me what you know about api_calls, that were created not at a date Friday 30 of September, 2022 11h 00m PM, that have properties apicall unique ids, which are equal to :df03497911ef4f4c913d6b9290953cfc, e4894254c0054a63b9a63ca736f7cb67 , show me only 7 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at != '2022-09-30 23:00:30' AND apicall_uid IN ('df03497911ef4f4c913d6b9290953cfc', 'e4894254c0054a63b9a63ca736f7cb67') LIMIT 7 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please offer me API CALL method belonging to data on api_calls, that were created for the first time not in 2023-06-30 12h 00m 55s AM, which have values of apicall unique ids, that are not c7ddb6f859484919984deb3acfc0b4a4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT method FROM apicalls WHERE created_at != '2023-06-30 00:00:55' AND apicall_uid NOT IN ('c7ddb6f859484919984deb3acfc0b4a4') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_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 calls, that were initiated beginning since 10 05 2022 10.39.00 PM (don't include 10 05 2022 10.39.00 PM), whose values were updated exclusively after January 01, 2023 12:22 AM, apply sorting by session unique id in ascending order, remain only 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at > '2022-05-10 22:39:00' AND updated_at > '2023-01-01 00:22:49' ORDER BY session_uid ASC LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about api_calls, that have properties REST API method return codes, which are equal to :201, 401, 502 , show me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code IN ('201', '401', '502') 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 time for response, created_at value, request method code status, method out of App prog interface calls, that have property time before returning result, which is exclusively > than 3034.67432, do sorting by request method code status from the highest value to the lowest value, save only 5 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT response_time, created_at, status_code, method FROM apicalls WHERE response_time > 3034.67432 ORDER BY status_code 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: I'm interested in learning about methods status_code, method, response time, api call url about apcall, which HTTP methods values are != [PUT, GET, PATCH], which has session uid not same as a6e32f6c7ecc4a39b68357155018c361, sort by created_at asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT status_code, method, response_time, url FROM apicalls WHERE method NOT IN ('PUT', 'GET', 'PATCH') AND session_uid NOT IN ('a6e32f6c7ecc4a39b68357155018c361') 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'm curious about 3 users as well as do sorting by count of sessions from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: Could you tell me about users with a quantity of sessions that is higher than 4 and lower than 9, exclusive 9\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions >= 4 AND total_sessions < 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: Tell me about 3 users I can't find living in city Lisbon besides that put to use sorting by overall quantity of sessions ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Lisbon') 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 about api_calls, executed for the first time exactly not in a date 2019 11 10 20h 47 mins 18, which have response time not same as 4509.75925\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE created_at != '2019-11-10 20:47:18' AND response_time != 4509.75925 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Could you enlighten me about users in addition to this implement sorting according to name of the city from the lowest to the highest moreover display me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: Tell me what you know about API_CALLS, which site urls are exactly not https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, altered before date 2019-10-16 11:58:33 (inclusively), implement sorting according to initiation from the lowest value to the highest value\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449') AND updated_at <= '2019-10-16 11:58:33' 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: Print me api call, which was changed till 2021-08-03 16:28:26 (2021-08-03 16:28:26 including), that was created for the first time exactly in 15 of November, year 2020 12:32 AM, apply sorting according to api call url in desc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE updated_at <= '2021-08-03 16:28:26' AND created_at = '2020-11-15 00:32:05' ORDER BY url 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 need to get information about 4 users who don't live in cities Athens, Buenos Aires, San Juan, Santo Domingo, Karachi, Johannesburg , execute sorting by name of the town in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Athens', 'Buenos Aires', 'San Juan', 'Santo Domingo', 'Karachi', 'Johannesburg') ORDER BY city_name ASC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide me an information about users who have sessions summation less than 9 (not including) and greater than 4 (not including) additionaly implement sorting according to mean_week_duration from the highest value to the lowest value and display me only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions > 4 AND total_sessions < 9 ORDER BY mean_week_duration DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Please provide insights on users who are folks of cities Stockholm, Tokyo, Caracas, Vienna, Singapore City, Bogota, Bridgetown, Lisbon moreover execute sorting based on mean of duration of sessions per week desc + get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Stockholm', 'Tokyo', 'Caracas', 'Vienna', 'Singapore City', 'Bogota', 'Bridgetown', 'Lisbon') ORDER BY mean_week_duration DESC LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm interested in learning about App prog interface calls, which site urls are exactly not :https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449, https://dev.wring.dev/details/project-explorer/view-project/449, https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia , which have value of apicall_uid, that is not equal to cc3a8874361e4b8b86cad8f2900bda27, 6c97a1335abe497db5501f63a8b81ab5, 5a483a7746a94dd383a5d10665137b6a , perform sorting by response time descendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://alpha.wring.dev/interceptor/pageviews/posthog/e/?ip=1&_=1701708343818&ver=1.29.0&projectId=449', 'https://dev.wring.dev/details/project-explorer/view-project/449', 'https://www.youtube.com/watch?v=KPtRHjlqvss&ab_channel=MondoMedia') AND apicall_uid NOT IN ('cc3a8874361e4b8b86cad8f2900bda27', '6c97a1335abe497db5501f63a8b81ab5', '5a483a7746a94dd383a5d10665137b6a') 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 session unique id, APICALL status_code, first execution date out of api_calls, that were executed for the first time exclusively after date 23-12-2020 09h 27m 34s AM , with a apicall unique identifiers that are not same as :741a1f87d06c42869d1d9ecfcf74e09d, 292409fbd51c45b2b96e3c0771646fbd, 8c3270c06b45494cb7c623c2d09cdd46 , perform sorting by used method from the highest to the lowest, remain only 8 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT session_uid, status_code, created_at FROM apicalls WHERE created_at > '2020-12-23 09:27:34' AND apicall_uid NOT IN ('741a1f87d06c42869d1d9ecfcf74e09d', '292409fbd51c45b2b96e3c0771646fbd', '8c3270c06b45494cb7c623c2d09cdd46') ORDER BY method DESC LIMIT 8 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me api calls, that have properties session ids, which are exactly f54bb5d79af44510992a5ddf7d7e7b21, implement sorting by time before returning result in descending order, eliminate all records except 10\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid IN ('f54bb5d79af44510992a5ddf7d7e7b21') ORDER BY response_time 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: I'd like to be informed about 3 users who are users with smallest value of mean app usage time per week plus do sorting by total time using the app from the largest value to the smallest value\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 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 4 users with a duration summation that is above 885, exclusively\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration > 885 LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I need to get information about users whose overall total duration is same as 1471 additionaly implement sorting according to total_sessions in desc , get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration == 1471 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: I'd like to be informed about api call, perform sorting based on apicall updation date risingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls 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: Display users pieces of information who aren't residing in cities Kingston, Copenhagen and in addition show me only 4 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Kingston', 'Copenhagen') LIMIT 4;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Tell me about 3 users whose site usage time is less than 3451 and greater than 1693\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration >= 1693 AND total_duration <= 3451 LIMIT 3;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm eager to find out about created_at value, site url, status code which are parts of apcalls, which used methods are same as :PUT, DELETE, POST , information about which was refreshed till date 00:00:39, 2019/07/08 , carry out sorting by response time from the lowest to the highest, eliminate all records except 6\n"
},
{
"from": "gpt",
"value": "SQL: SELECT created_at, url, status_code FROM apicalls WHERE method IN ('PUT', 'DELETE', 'POST') AND updated_at <= '2019-07-08 00:00:39' ORDER BY response_time ASC LIMIT 6 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Share insights on App prog interface calls, which status codes values are not :404, 503, 900 , put to use sorting by api call url ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE status_code NOT IN ('404', '503', '900') ORDER BY url ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Provide insights into users whose time spent on the site is same as 2793 , and implement sorting by city name in asc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration == 2793 ORDER BY city_name ASC;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about api call id, time before returning result from api_call, which has urls = https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann , which session ids values are not equal to a1ea21ade0b44f339a88c6dfad63552e, apply sorting by time before returning result in asc order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, response_time FROM apicalls WHERE url IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime', 'https://www.youtube.com/watch?v=FsBYBZSEE9Q&t=29s&ab_channel=NicKaufmann') AND session_uid NOT IN ('a1ea21ade0b44f339a88c6dfad63552e') ORDER BY response_time ASC ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I have a curiosity about users whose sessions total exceeds 10 while staying below 2, exclusive 10 besides that implement sorting by total_sessions in ascending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions <= 2 AND total_sessions > 10 ORDER BY total_sessions 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 users who don't currently live in cities Warsaw, Budapest, Nassau, Mumbai plus sort by all sessions quantity asc , moreover show me only 3 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Warsaw', 'Budapest', 'Nassau', 'Mumbai') 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 about 3 users whose time spent on the site is strictly smaller than 2484 and bigger than 4652 besides carry out sorting by mean_week_duration in ascending order\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_duration < 2484 AND total_duration >= 4652 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: Could you enlighten me about 6 users who don't belong to city Panama City in addition to this implement sorting by number of sessions in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Panama City') ORDER BY total_sessions DESC LIMIT 6;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: I'm curious about api_calls, which api_calls id is exactly not (cd1ee98ddb604cecbf614cf1c3825009, 64dac2bf77e64922ba27f514ec16365f, a6e63163da9e4ff294eb74bebc208596), appeared for the first time before date 13 09 2022 08h 18 mins 12 (exclusively), carry out sorting by session_uid in descending, get rid of all entries, except 3\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE apicall_uid NOT IN ('cd1ee98ddb604cecbf614cf1c3825009', '64dac2bf77e64922ba27f514ec16365f', 'a6e63163da9e4ff294eb74bebc208596') AND created_at < '2022-09-13 08:18:12' ORDER BY session_uid 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 want to know about API_CALLS, which ses. id value is != 749deab6a5f24e35ae7bee527c1925ef, 3cb06c7e20294ef280e7b7e57202ba71, f724414e3e45443a90fe402405d11224 , carry out sorting by api_calls id in asc\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('749deab6a5f24e35ae7bee527c1925ef', '3cb06c7e20294ef280e7b7e57202ba71', 'f724414e3e45443a90fe402405d11224') 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: Provide insights into api_calls, that have property url, which is not https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime, which have value of api call id, that is not equal to e659277e092f4362a98df89e5ea6fcb1, 152532c361444b66b2d57d1e50f6a7c0 \n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE url NOT IN ('https://stackoverflow.com/questions/44935376/typeerror-module-object-is-not-callable-using-datetime') AND apicall_uid NOT IN ('e659277e092f4362a98df89e5ea6fcb1', '152532c361444b66b2d57d1e50f6a7c0') ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Display to me 3 users pieces of information , and carry out sorting by name of the city from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users 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: Please offer me data on App prog interface calls, which have values of session ids, that are not same as b3bc14714328465e8a0a52932d9718bb, f2b12ebb7a774adbb17351b0640e80da , which time for response is exclusively smaller than 2409.7002, put to use sorting by date of API CALL refreshing in descending\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE session_uid NOT IN ('b3bc14714328465e8a0a52932d9718bb', 'f2b12ebb7a774adbb17351b0640e80da') AND response_time < 2409.7002 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 tell me about apcalls, with a response time that is strictly higher than 4021.81123, which site urls values are precisely [https://www.youtube.com/, https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw, https://studfile.net/preview/6854369/page:11/], execute sorting by apicall unique identifier ascendingly, save only 4 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM apicalls WHERE response_time > 4021.81123 AND url IN ('https://www.youtube.com/', 'https://open.spotify.com/artist/7BZO8HVP46PLeEYEBLlkLw', 'https://studfile.net/preview/6854369/page:11/') ORDER BY apicall_uid 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 eager to find out about 4 users I can't find living in city Panama City\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name NOT IN ('Panama City') 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 a user to me who has overall total sessions strictly bigger than 9 and strictly smaller than 5 plus perform sorting based on town name from the smallest to the largest\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE total_sessions < 5 AND total_sessions > 9 ORDER BY city_name 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: I'm eager to find out about users who are currently living in cities Athens, Nassau, Copenhagen plus apply sorting according to mean time in app per week risingly also keep only 3 records\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Athens', 'Nassau', 'Copenhagen') 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: Could you enlighten me about apicall unique identifier, time of apicall modification belonging to API_CALLS, with a ses. id that is not equal to e70b6b7c986f40fdb526b0d010e82a4f, 028597d828e740e4b3fb7d888ec9ba37, db4372dd99064f9185e39590590dd75e , initiated exclusively after date 21-07-2023 12h 56m 06s AM , execute sorting by REST API method return code from the lowest value to the highest value, show me only 10 entries\n"
},
{
"from": "gpt",
"value": "SQL: SELECT apicall_uid, updated_at FROM apicalls WHERE session_uid NOT IN ('e70b6b7c986f40fdb526b0d010e82a4f', '028597d828e740e4b3fb7d888ec9ba37', 'db4372dd99064f9185e39590590dd75e') AND created_at > '2023-07-21 00:56:06' ORDER BY status_code ASC LIMIT 10 ;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me 5 users who live in cities Belize City, Manila, Mumbai\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE city_name IN ('Belize City', 'Manila', 'Mumbai') LIMIT 5;\n"
}
] |
[
{
"from": "human",
"value": "You are AppMapChat, a helpful assistant who answers requester questions.\nYou are always sure in input data.\nYour goal is to parse requesters questions into executable SQL sequense.\n Parsing requesters message into SQL use provided context to generate database names, fields, available oretations on data.\nNever generate something but SQL sequences.\nYou have following context.\nContext: \nCREATE TABLE users (user_id INT PRIMARY KEY, city_name VARCHAR(255), total_sessions INT, mean_week_duration FLOAT, total_duration FLOAT);\nCREATE TABLE apicalls (apicall_uid VARCHAR(255), session_uid VARCHAR(255), created_at DATETIME, updated_at DATETIME, url VARCHAR(255), method VARCHAR(255), status_code INT, response_time FLOAT);\nBegin!\n"
},
{
"from": "gpt",
"value": "Hello, I'm AppMapGPT, how can I assist you?\n"
},
{
"from": "human",
"value": "Question: Show me users whose mean duration of sessions per week is less than 8 and strictly greater than 47 furthermore get rid of all entries, except 4\n"
},
{
"from": "gpt",
"value": "SQL: SELECT * FROM users WHERE mean_week_duration <= 8 AND mean_week_duration > 47 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: Find apicall updation date, api call uid, time of creation of api calls who meets following properties:, which HTTP method value is != DELETE, with a time before returning result that is = 4760.077, carry out sorting by HTTP method code ascendingly\n"
},
{
"from": "gpt",
"value": "SQL: SELECT updated_at, apicall_uid, created_at FROM apicalls WHERE method NOT IN ('DELETE') AND response_time = 4760.077 ORDER BY status_code ASC ;\n"
}
] |
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